2023-11-02 01:53:07,123 - mmseg - INFO - Multi-processing start method is `None` 2023-11-02 01:53:07,140 - mmseg - INFO - OpenCV num_threads is `128 2023-11-02 01:53:07,140 - mmseg - INFO - OMP num threads is 1 2023-11-02 01:53:07,223 - mmseg - INFO - Environment info: ------------------------------------------------------------ sys.platform: linux Python: 3.8.15 (default, Nov 4 2022, 20:59:55) [GCC 11.2.0] CUDA available: True GPU 0,1,2,3,4,5,6,7: NVIDIA A100-SXM4-80GB CUDA_HOME: /mnt/petrelfs/wangwenhai/miniconda3/envs/mmdetseg NVCC: Cuda compilation tools, release 11.7, V11.7.99 GCC: gcc (GCC) 4.8.5 20150623 (Red Hat 4.8.5-44) PyTorch: 1.13.0 PyTorch compiling details: PyTorch built with: - GCC 9.3 - C++ Version: 201402 - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications - Intel(R) MKL-DNN v2.6.0 (Git Hash 52b5f107dd9cf10910aaa19cb47f3abf9b349815) - OpenMP 201511 (a.k.a. OpenMP 4.5) - LAPACK is enabled (usually provided by MKL) - NNPACK is enabled - CPU capability usage: AVX2 - CUDA Runtime 11.7 - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37 - CuDNN 8.5 - Magma 2.6.1 - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.7, CUDNN_VERSION=8.5.0, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -fabi-version=11 -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wunused-local-typedefs -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Werror=cast-function-type -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.13.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, TorchVision: 0.14.0 OpenCV: 4.8.0 MMCV: 1.7.0 MMCV Compiler: GCC 7.3 MMCV CUDA Compiler: 11.7 MMSegmentation: 0.27.0+ ------------------------------------------------------------ 2023-11-02 01:53:07,224 - mmseg - INFO - Distributed training: True 2023-11-02 01:53:07,497 - mmseg - INFO - Config: checkpoint = 'https://download.openmmlab.com/mmsegmentation/v0.5/pretrain/segmenter/vit_base_p16_384_20220308-96dfe169.pth' backbone_norm_cfg = dict(type='LN', eps=1e-06, requires_grad=True) model = dict( type='EncoderDecoder', pretrained= './pretrained/intern_vit_6b_224px.pth', backbone=dict( type='InternViT6B', pretrain_size=224, img_size=504, patch_size=14, embed_dim=3200, depth=48, num_heads=25, mlp_ratio=4.0, qkv_bias=False, drop_path_rate=0.4, init_values=0.1, with_cp=True, use_flash_attn=True, qk_normalization=True, layerscale_no_force_fp32=True, freeze_vit=False, out_indices=[47]), decode_head=dict( type='FCNHead', in_channels=3200, channels=3200, num_convs=0, dropout_ratio=0.0, concat_input=False, num_classes=150, with_norm=True, loss_decode=dict( type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0)), test_cfg=dict(mode='slide', crop_size=(504, 504), stride=(322, 322))) dataset_type = 'ADE20KDataset' data_root = 'data/ade/ADEChallengeData2016' img_norm_cfg = dict( mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) crop_size = (504, 504) train_pipeline = [ dict(type='LoadImageFromFile'), dict(type='LoadAnnotations', reduce_zero_label=True), dict(type='Resize', img_scale=(2016, 504), ratio_range=(0.5, 2.0)), dict(type='RandomCrop', crop_size=(504, 504), cat_max_ratio=0.75), dict(type='RandomFlip', prob=0.5), dict(type='PhotoMetricDistortion'), dict( type='Normalize', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True), dict(type='Pad', size=(504, 504), pad_val=0, seg_pad_val=255), dict(type='DefaultFormatBundle'), dict(type='Collect', keys=['img', 'gt_semantic_seg']) ] test_pipeline = [ dict(type='LoadImageFromFile'), dict( type='MultiScaleFlipAug', img_scale=(2016, 504), flip=False, transforms=[ dict(type='Resize', keep_ratio=True), dict(type='ResizeToMultiple', size_divisor=14), dict(type='RandomFlip'), dict( type='Normalize', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True), dict(type='ImageToTensor', keys=['img']), dict(type='Collect', keys=['img']) ]) ] data = dict( samples_per_gpu=2, workers_per_gpu=4, train=dict( type='ADE20KDataset', data_root='data/ade/ADEChallengeData2016', img_dir='images/training', ann_dir='annotations/training', pipeline=[ dict(type='LoadImageFromFile'), dict(type='LoadAnnotations', reduce_zero_label=True), dict(type='Resize', img_scale=(2016, 504), ratio_range=(0.5, 2.0)), dict(type='RandomCrop', crop_size=(504, 504), cat_max_ratio=0.75), dict(type='RandomFlip', prob=0.5), dict(type='PhotoMetricDistortion'), dict( type='Normalize', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True), dict(type='Pad', size=(504, 504), pad_val=0, seg_pad_val=255), dict(type='DefaultFormatBundle'), dict(type='Collect', keys=['img', 'gt_semantic_seg']) ]), val=dict( type='ADE20KDataset', data_root='data/ade/ADEChallengeData2016', img_dir='images/validation', ann_dir='annotations/validation', pipeline=[ dict(type='LoadImageFromFile'), dict( type='MultiScaleFlipAug', img_scale=(2016, 504), flip=False, transforms=[ dict(type='Resize', keep_ratio=True), dict(type='ResizeToMultiple', size_divisor=14), dict(type='RandomFlip'), dict( type='Normalize', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True), dict(type='ImageToTensor', keys=['img']), dict(type='Collect', keys=['img']) ]) ]), test=dict( type='ADE20KDataset', data_root='data/ade/ADEChallengeData2016', img_dir='images/validation', ann_dir='annotations/validation', pipeline=[ dict(type='LoadImageFromFile'), dict( type='MultiScaleFlipAug', img_scale=(2016, 504), flip=False, transforms=[ dict(type='Resize', keep_ratio=True), dict(type='ResizeToMultiple', size_divisor=14), dict(type='RandomFlip'), dict( type='Normalize', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True), dict(type='ImageToTensor', keys=['img']), dict(type='Collect', keys=['img']) ]) ])) log_config = dict( interval=50, hooks=[ dict(type='TextLoggerHook', by_epoch=False), dict(type='TensorboardLoggerHook') ]) dist_params = dict(backend='nccl') log_level = 'INFO' load_from = None resume_from = None workflow = [('train', 1)] cudnn_benchmark = True optimizer = dict( type='AdamW', lr=4e-05, betas=(0.9, 0.999), weight_decay=0.05, constructor='CustomLayerDecayOptimizerConstructor', paramwise_cfg=dict(num_layers=48, layer_decay_rate=0.95)) optimizer_config = dict() lr_config = dict( policy='poly', warmup='linear', warmup_iters=1500, warmup_ratio=1e-06, power=1.0, min_lr=0.0, by_epoch=False) runner = dict(type='IterBasedRunner', max_iters=80000) checkpoint_config = dict( by_epoch=False, interval=1000, deepspeed=True, max_keep_ckpts=2) evaluation = dict( interval=1000, metric='mIoU', pre_eval=True, save_best='auto') deepspeed = True deepspeed_config = 'zero_configs/adam_zero1_bf16.json' pretrained = './pretrained/intern_vit_6b_224px.pth' custom_hooks = [dict(type='ToBFloat16Hook', priority=49)] work_dir = './work_dirs/segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04' gpu_ids = range(0, 8) auto_resume = False 2023-11-02 01:53:12,069 - mmseg - INFO - Set random seed to 1534839948, deterministic: False 2023-11-02 01:54:31,896 - mmseg - INFO - 2023-11-02 01:54:48,172 - mmseg - INFO - initialize FCNHead with init_cfg {'type': 'Normal', 'std': 0.01, 'override': {'name': 'conv_seg'}} Name of parameter - Initialization information backbone.pos_embed - torch.Size([1, 1297, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.cls_token - torch.Size([1, 1, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.patch_embed.proj.weight - torch.Size([3200, 3, 14, 14]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.patch_embed.proj.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.0.norm1.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.0.attn.qkv.weight - torch.Size([9600, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.0.attn.proj.weight - torch.Size([3200, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.0.attn.proj.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.0.attn.q_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.0.attn.k_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.0.ls1.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.0.norm2.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.0.mlp.fc1.weight - torch.Size([12800, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.0.mlp.fc1.bias - torch.Size([12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.0.mlp.fc2.weight - torch.Size([3200, 12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.0.mlp.fc2.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.0.ls2.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.1.norm1.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.1.attn.qkv.weight - torch.Size([9600, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.1.attn.proj.weight - torch.Size([3200, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.1.attn.proj.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.1.attn.q_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.1.attn.k_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.1.ls1.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.1.norm2.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.1.mlp.fc1.weight - torch.Size([12800, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.1.mlp.fc1.bias - torch.Size([12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.1.mlp.fc2.weight - torch.Size([3200, 12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.1.mlp.fc2.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.1.ls2.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.2.norm1.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.2.attn.qkv.weight - torch.Size([9600, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.2.attn.proj.weight - torch.Size([3200, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.2.attn.proj.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.2.attn.q_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.2.attn.k_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.2.ls1.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.2.norm2.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.2.mlp.fc1.weight - torch.Size([12800, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.2.mlp.fc1.bias - torch.Size([12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.2.mlp.fc2.weight - torch.Size([3200, 12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.2.mlp.fc2.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.2.ls2.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.3.norm1.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.3.attn.qkv.weight - torch.Size([9600, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.3.attn.proj.weight - torch.Size([3200, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.3.attn.proj.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.3.attn.q_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.3.attn.k_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.3.ls1.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.3.norm2.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.3.mlp.fc1.weight - torch.Size([12800, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.3.mlp.fc1.bias - torch.Size([12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.3.mlp.fc2.weight - torch.Size([3200, 12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.3.mlp.fc2.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.3.ls2.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.4.norm1.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.4.attn.qkv.weight - torch.Size([9600, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.4.attn.proj.weight - torch.Size([3200, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.4.attn.proj.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.4.attn.q_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.4.attn.k_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.4.ls1.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.4.norm2.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.4.mlp.fc1.weight - torch.Size([12800, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.4.mlp.fc1.bias - torch.Size([12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.4.mlp.fc2.weight - torch.Size([3200, 12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.4.mlp.fc2.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.4.ls2.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.5.norm1.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.5.attn.qkv.weight - torch.Size([9600, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.5.attn.proj.weight - torch.Size([3200, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.5.attn.proj.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.5.attn.q_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.5.attn.k_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.5.ls1.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.5.norm2.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.5.mlp.fc1.weight - torch.Size([12800, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.5.mlp.fc1.bias - torch.Size([12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.5.mlp.fc2.weight - torch.Size([3200, 12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.5.mlp.fc2.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.5.ls2.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.6.norm1.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.6.attn.qkv.weight - torch.Size([9600, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.6.attn.proj.weight - torch.Size([3200, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.6.attn.proj.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.6.attn.q_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.6.attn.k_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.6.ls1.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.6.norm2.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.6.mlp.fc1.weight - torch.Size([12800, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.6.mlp.fc1.bias - torch.Size([12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.6.mlp.fc2.weight - torch.Size([3200, 12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.6.mlp.fc2.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.6.ls2.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.7.norm1.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.7.attn.qkv.weight - torch.Size([9600, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.7.attn.proj.weight - torch.Size([3200, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.7.attn.proj.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.7.attn.q_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.7.attn.k_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.7.ls1.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.7.norm2.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.7.mlp.fc1.weight - torch.Size([12800, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.7.mlp.fc1.bias - torch.Size([12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.7.mlp.fc2.weight - torch.Size([3200, 12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.7.mlp.fc2.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.7.ls2.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.8.norm1.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.8.attn.qkv.weight - torch.Size([9600, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.8.attn.proj.weight - torch.Size([3200, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.8.attn.proj.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.8.attn.q_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.8.attn.k_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.8.ls1.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.8.norm2.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.8.mlp.fc1.weight - torch.Size([12800, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.8.mlp.fc1.bias - torch.Size([12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.8.mlp.fc2.weight - torch.Size([3200, 12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.8.mlp.fc2.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.8.ls2.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.9.norm1.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.9.attn.qkv.weight - torch.Size([9600, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.9.attn.proj.weight - torch.Size([3200, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.9.attn.proj.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.9.attn.q_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.9.attn.k_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.9.ls1.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.9.norm2.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.9.mlp.fc1.weight - torch.Size([12800, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.9.mlp.fc1.bias - torch.Size([12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.9.mlp.fc2.weight - torch.Size([3200, 12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.9.mlp.fc2.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.9.ls2.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.10.norm1.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.10.attn.qkv.weight - torch.Size([9600, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.10.attn.proj.weight - torch.Size([3200, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.10.attn.proj.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.10.attn.q_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.10.attn.k_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.10.ls1.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.10.norm2.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.10.mlp.fc1.weight - torch.Size([12800, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.10.mlp.fc1.bias - torch.Size([12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.10.mlp.fc2.weight - torch.Size([3200, 12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.10.mlp.fc2.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.10.ls2.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.11.norm1.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.11.attn.qkv.weight - torch.Size([9600, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.11.attn.proj.weight - torch.Size([3200, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.11.attn.proj.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.11.attn.q_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.11.attn.k_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.11.ls1.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.11.norm2.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.11.mlp.fc1.weight - torch.Size([12800, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.11.mlp.fc1.bias - torch.Size([12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.11.mlp.fc2.weight - torch.Size([3200, 12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.11.mlp.fc2.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.11.ls2.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.12.norm1.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.12.attn.qkv.weight - torch.Size([9600, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.12.attn.proj.weight - torch.Size([3200, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.12.attn.proj.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.12.attn.q_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.12.attn.k_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.12.ls1.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.12.norm2.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.12.mlp.fc1.weight - torch.Size([12800, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.12.mlp.fc1.bias - torch.Size([12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.12.mlp.fc2.weight - torch.Size([3200, 12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.12.mlp.fc2.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.12.ls2.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.13.norm1.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.13.attn.qkv.weight - torch.Size([9600, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.13.attn.proj.weight - torch.Size([3200, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.13.attn.proj.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.13.attn.q_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.13.attn.k_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.13.ls1.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.13.norm2.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.13.mlp.fc1.weight - torch.Size([12800, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.13.mlp.fc1.bias - torch.Size([12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.13.mlp.fc2.weight - torch.Size([3200, 12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.13.mlp.fc2.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.13.ls2.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.14.norm1.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.14.attn.qkv.weight - torch.Size([9600, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.14.attn.proj.weight - torch.Size([3200, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.14.attn.proj.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.14.attn.q_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.14.attn.k_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.14.ls1.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.14.norm2.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.14.mlp.fc1.weight - torch.Size([12800, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.14.mlp.fc1.bias - torch.Size([12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.14.mlp.fc2.weight - torch.Size([3200, 12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.14.mlp.fc2.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.14.ls2.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.15.norm1.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.15.attn.qkv.weight - torch.Size([9600, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.15.attn.proj.weight - torch.Size([3200, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.15.attn.proj.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.15.attn.q_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.15.attn.k_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.15.ls1.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.15.norm2.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.15.mlp.fc1.weight - torch.Size([12800, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.15.mlp.fc1.bias - torch.Size([12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.15.mlp.fc2.weight - torch.Size([3200, 12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.15.mlp.fc2.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.15.ls2.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.16.norm1.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.16.attn.qkv.weight - torch.Size([9600, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.16.attn.proj.weight - torch.Size([3200, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.16.attn.proj.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.16.attn.q_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.16.attn.k_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.16.ls1.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.16.norm2.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.16.mlp.fc1.weight - torch.Size([12800, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.16.mlp.fc1.bias - torch.Size([12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.16.mlp.fc2.weight - torch.Size([3200, 12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.16.mlp.fc2.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.16.ls2.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.17.norm1.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.17.attn.qkv.weight - torch.Size([9600, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.17.attn.proj.weight - torch.Size([3200, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.17.attn.proj.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.17.attn.q_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.17.attn.k_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.17.ls1.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.17.norm2.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.17.mlp.fc1.weight - torch.Size([12800, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.17.mlp.fc1.bias - torch.Size([12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.17.mlp.fc2.weight - torch.Size([3200, 12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.17.mlp.fc2.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.17.ls2.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.18.norm1.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.18.attn.qkv.weight - torch.Size([9600, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.18.attn.proj.weight - torch.Size([3200, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.18.attn.proj.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.18.attn.q_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.18.attn.k_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.18.ls1.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.18.norm2.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.18.mlp.fc1.weight - torch.Size([12800, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.18.mlp.fc1.bias - torch.Size([12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.18.mlp.fc2.weight - torch.Size([3200, 12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.18.mlp.fc2.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.18.ls2.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.19.norm1.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.19.attn.qkv.weight - torch.Size([9600, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.19.attn.proj.weight - torch.Size([3200, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.19.attn.proj.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.19.attn.q_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.19.attn.k_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.19.ls1.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.19.norm2.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.19.mlp.fc1.weight - torch.Size([12800, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.19.mlp.fc1.bias - torch.Size([12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.19.mlp.fc2.weight - torch.Size([3200, 12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.19.mlp.fc2.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.19.ls2.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.20.norm1.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.20.attn.qkv.weight - torch.Size([9600, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.20.attn.proj.weight - torch.Size([3200, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.20.attn.proj.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.20.attn.q_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.20.attn.k_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.20.ls1.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.20.norm2.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.20.mlp.fc1.weight - torch.Size([12800, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.20.mlp.fc1.bias - torch.Size([12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.20.mlp.fc2.weight - torch.Size([3200, 12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.20.mlp.fc2.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.20.ls2.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.21.norm1.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.21.attn.qkv.weight - torch.Size([9600, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.21.attn.proj.weight - torch.Size([3200, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.21.attn.proj.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.21.attn.q_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.21.attn.k_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.21.ls1.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.21.norm2.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.21.mlp.fc1.weight - torch.Size([12800, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.21.mlp.fc1.bias - torch.Size([12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.21.mlp.fc2.weight - torch.Size([3200, 12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.21.mlp.fc2.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.21.ls2.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.22.norm1.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.22.attn.qkv.weight - torch.Size([9600, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.22.attn.proj.weight - torch.Size([3200, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.22.attn.proj.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.22.attn.q_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.22.attn.k_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.22.ls1.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.22.norm2.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.22.mlp.fc1.weight - torch.Size([12800, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.22.mlp.fc1.bias - torch.Size([12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.22.mlp.fc2.weight - torch.Size([3200, 12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.22.mlp.fc2.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.22.ls2.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.23.norm1.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.23.attn.qkv.weight - torch.Size([9600, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.23.attn.proj.weight - torch.Size([3200, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.23.attn.proj.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.23.attn.q_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.23.attn.k_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.23.ls1.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.23.norm2.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.23.mlp.fc1.weight - torch.Size([12800, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.23.mlp.fc1.bias - torch.Size([12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.23.mlp.fc2.weight - torch.Size([3200, 12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.23.mlp.fc2.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.23.ls2.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.24.norm1.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.24.attn.qkv.weight - torch.Size([9600, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.24.attn.proj.weight - torch.Size([3200, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.24.attn.proj.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.24.attn.q_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.24.attn.k_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.24.ls1.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.24.norm2.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.24.mlp.fc1.weight - torch.Size([12800, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.24.mlp.fc1.bias - torch.Size([12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.24.mlp.fc2.weight - torch.Size([3200, 12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.24.mlp.fc2.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.24.ls2.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.25.norm1.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.25.attn.qkv.weight - torch.Size([9600, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.25.attn.proj.weight - torch.Size([3200, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.25.attn.proj.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.25.attn.q_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.25.attn.k_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.25.ls1.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.25.norm2.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.25.mlp.fc1.weight - torch.Size([12800, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.25.mlp.fc1.bias - torch.Size([12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.25.mlp.fc2.weight - torch.Size([3200, 12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.25.mlp.fc2.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.25.ls2.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.26.norm1.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.26.attn.qkv.weight - torch.Size([9600, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.26.attn.proj.weight - torch.Size([3200, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.26.attn.proj.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.26.attn.q_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.26.attn.k_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.26.ls1.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.26.norm2.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.26.mlp.fc1.weight - torch.Size([12800, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.26.mlp.fc1.bias - torch.Size([12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.26.mlp.fc2.weight - torch.Size([3200, 12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.26.mlp.fc2.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.26.ls2.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.27.norm1.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.27.attn.qkv.weight - torch.Size([9600, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.27.attn.proj.weight - torch.Size([3200, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.27.attn.proj.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.27.attn.q_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.27.attn.k_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.27.ls1.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.27.norm2.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.27.mlp.fc1.weight - torch.Size([12800, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.27.mlp.fc1.bias - torch.Size([12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.27.mlp.fc2.weight - torch.Size([3200, 12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.27.mlp.fc2.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.27.ls2.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.28.norm1.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.28.attn.qkv.weight - torch.Size([9600, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.28.attn.proj.weight - torch.Size([3200, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.28.attn.proj.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.28.attn.q_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.28.attn.k_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.28.ls1.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.28.norm2.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.28.mlp.fc1.weight - torch.Size([12800, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.28.mlp.fc1.bias - torch.Size([12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.28.mlp.fc2.weight - torch.Size([3200, 12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.28.mlp.fc2.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.28.ls2.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.29.norm1.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.29.attn.qkv.weight - torch.Size([9600, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.29.attn.proj.weight - torch.Size([3200, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.29.attn.proj.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.29.attn.q_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.29.attn.k_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.29.ls1.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.29.norm2.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.29.mlp.fc1.weight - torch.Size([12800, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.29.mlp.fc1.bias - torch.Size([12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.29.mlp.fc2.weight - torch.Size([3200, 12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.29.mlp.fc2.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.29.ls2.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.30.norm1.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.30.attn.qkv.weight - torch.Size([9600, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.30.attn.proj.weight - torch.Size([3200, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.30.attn.proj.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.30.attn.q_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.30.attn.k_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.30.ls1.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.30.norm2.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.30.mlp.fc1.weight - torch.Size([12800, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.30.mlp.fc1.bias - torch.Size([12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.30.mlp.fc2.weight - torch.Size([3200, 12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.30.mlp.fc2.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.30.ls2.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.31.norm1.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.31.attn.qkv.weight - torch.Size([9600, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.31.attn.proj.weight - torch.Size([3200, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.31.attn.proj.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.31.attn.q_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.31.attn.k_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.31.ls1.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.31.norm2.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.31.mlp.fc1.weight - torch.Size([12800, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.31.mlp.fc1.bias - torch.Size([12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.31.mlp.fc2.weight - torch.Size([3200, 12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.31.mlp.fc2.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.31.ls2.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.32.norm1.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.32.attn.qkv.weight - torch.Size([9600, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.32.attn.proj.weight - torch.Size([3200, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.32.attn.proj.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.32.attn.q_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.32.attn.k_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.32.ls1.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.32.norm2.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.32.mlp.fc1.weight - torch.Size([12800, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.32.mlp.fc1.bias - torch.Size([12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.32.mlp.fc2.weight - torch.Size([3200, 12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.32.mlp.fc2.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.32.ls2.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.33.norm1.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.33.attn.qkv.weight - torch.Size([9600, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.33.attn.proj.weight - torch.Size([3200, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.33.attn.proj.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.33.attn.q_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.33.attn.k_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.33.ls1.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.33.norm2.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.33.mlp.fc1.weight - torch.Size([12800, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.33.mlp.fc1.bias - torch.Size([12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.33.mlp.fc2.weight - torch.Size([3200, 12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.33.mlp.fc2.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.33.ls2.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.34.norm1.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.34.attn.qkv.weight - torch.Size([9600, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.34.attn.proj.weight - torch.Size([3200, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.34.attn.proj.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.34.attn.q_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.34.attn.k_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.34.ls1.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.34.norm2.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.34.mlp.fc1.weight - torch.Size([12800, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.34.mlp.fc1.bias - torch.Size([12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.34.mlp.fc2.weight - torch.Size([3200, 12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.34.mlp.fc2.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.34.ls2.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.35.norm1.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.35.attn.qkv.weight - torch.Size([9600, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.35.attn.proj.weight - torch.Size([3200, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.35.attn.proj.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.35.attn.q_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.35.attn.k_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.35.ls1.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.35.norm2.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.35.mlp.fc1.weight - torch.Size([12800, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.35.mlp.fc1.bias - torch.Size([12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.35.mlp.fc2.weight - torch.Size([3200, 12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.35.mlp.fc2.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.35.ls2.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.36.norm1.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.36.attn.qkv.weight - torch.Size([9600, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.36.attn.proj.weight - torch.Size([3200, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.36.attn.proj.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.36.attn.q_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.36.attn.k_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.36.ls1.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.36.norm2.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.36.mlp.fc1.weight - torch.Size([12800, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.36.mlp.fc1.bias - torch.Size([12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.36.mlp.fc2.weight - torch.Size([3200, 12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.36.mlp.fc2.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.36.ls2.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.37.norm1.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.37.attn.qkv.weight - torch.Size([9600, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.37.attn.proj.weight - torch.Size([3200, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.37.attn.proj.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.37.attn.q_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.37.attn.k_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.37.ls1.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.37.norm2.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.37.mlp.fc1.weight - torch.Size([12800, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.37.mlp.fc1.bias - torch.Size([12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.37.mlp.fc2.weight - torch.Size([3200, 12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.37.mlp.fc2.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.37.ls2.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.38.norm1.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.38.attn.qkv.weight - torch.Size([9600, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.38.attn.proj.weight - torch.Size([3200, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.38.attn.proj.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.38.attn.q_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.38.attn.k_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.38.ls1.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.38.norm2.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.38.mlp.fc1.weight - torch.Size([12800, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.38.mlp.fc1.bias - torch.Size([12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.38.mlp.fc2.weight - torch.Size([3200, 12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.38.mlp.fc2.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.38.ls2.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.39.norm1.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.39.attn.qkv.weight - torch.Size([9600, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.39.attn.proj.weight - torch.Size([3200, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.39.attn.proj.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.39.attn.q_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.39.attn.k_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.39.ls1.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.39.norm2.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.39.mlp.fc1.weight - torch.Size([12800, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.39.mlp.fc1.bias - torch.Size([12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.39.mlp.fc2.weight - torch.Size([3200, 12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.39.mlp.fc2.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.39.ls2.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.40.norm1.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.40.attn.qkv.weight - torch.Size([9600, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.40.attn.proj.weight - torch.Size([3200, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.40.attn.proj.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.40.attn.q_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.40.attn.k_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.40.ls1.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.40.norm2.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.40.mlp.fc1.weight - torch.Size([12800, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.40.mlp.fc1.bias - torch.Size([12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.40.mlp.fc2.weight - torch.Size([3200, 12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.40.mlp.fc2.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.40.ls2.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.41.norm1.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.41.attn.qkv.weight - torch.Size([9600, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.41.attn.proj.weight - torch.Size([3200, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.41.attn.proj.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.41.attn.q_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.41.attn.k_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.41.ls1.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.41.norm2.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.41.mlp.fc1.weight - torch.Size([12800, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.41.mlp.fc1.bias - torch.Size([12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.41.mlp.fc2.weight - torch.Size([3200, 12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.41.mlp.fc2.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.41.ls2.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.42.norm1.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.42.attn.qkv.weight - torch.Size([9600, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.42.attn.proj.weight - torch.Size([3200, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.42.attn.proj.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.42.attn.q_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.42.attn.k_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.42.ls1.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.42.norm2.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.42.mlp.fc1.weight - torch.Size([12800, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.42.mlp.fc1.bias - torch.Size([12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.42.mlp.fc2.weight - torch.Size([3200, 12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.42.mlp.fc2.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.42.ls2.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.43.norm1.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.43.attn.qkv.weight - torch.Size([9600, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.43.attn.proj.weight - torch.Size([3200, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.43.attn.proj.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.43.attn.q_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.43.attn.k_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.43.ls1.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.43.norm2.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.43.mlp.fc1.weight - torch.Size([12800, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.43.mlp.fc1.bias - torch.Size([12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.43.mlp.fc2.weight - torch.Size([3200, 12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.43.mlp.fc2.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.43.ls2.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.44.norm1.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.44.attn.qkv.weight - torch.Size([9600, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.44.attn.proj.weight - torch.Size([3200, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.44.attn.proj.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.44.attn.q_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.44.attn.k_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.44.ls1.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.44.norm2.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.44.mlp.fc1.weight - torch.Size([12800, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.44.mlp.fc1.bias - torch.Size([12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.44.mlp.fc2.weight - torch.Size([3200, 12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.44.mlp.fc2.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.44.ls2.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.45.norm1.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.45.attn.qkv.weight - torch.Size([9600, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.45.attn.proj.weight - torch.Size([3200, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.45.attn.proj.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.45.attn.q_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.45.attn.k_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.45.ls1.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.45.norm2.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.45.mlp.fc1.weight - torch.Size([12800, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.45.mlp.fc1.bias - torch.Size([12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.45.mlp.fc2.weight - torch.Size([3200, 12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.45.mlp.fc2.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.45.ls2.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.46.norm1.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.46.attn.qkv.weight - torch.Size([9600, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.46.attn.proj.weight - torch.Size([3200, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.46.attn.proj.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.46.attn.q_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.46.attn.k_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.46.ls1.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.46.norm2.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.46.mlp.fc1.weight - torch.Size([12800, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.46.mlp.fc1.bias - torch.Size([12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.46.mlp.fc2.weight - torch.Size([3200, 12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.46.mlp.fc2.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.46.ls2.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.47.norm1.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.47.attn.qkv.weight - torch.Size([9600, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.47.attn.proj.weight - torch.Size([3200, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.47.attn.proj.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.47.attn.q_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.47.attn.k_norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.47.ls1.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.47.norm2.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.47.mlp.fc1.weight - torch.Size([12800, 3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.47.mlp.fc1.bias - torch.Size([12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.47.mlp.fc2.weight - torch.Size([3200, 12800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.47.mlp.fc2.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.47.ls2.gamma - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder decode_head.conv_seg.weight - torch.Size([150, 3200, 1, 1]): NormalInit: mean=0, std=0.01, bias=0 decode_head.conv_seg.bias - torch.Size([150]): NormalInit: mean=0, std=0.01, bias=0 decode_head.norm.weight - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder decode_head.norm.bias - torch.Size([3200]): The value is the same before and after calling `init_weights` of EncoderDecoder 2023-11-02 01:54:48,180 - mmseg - INFO - EncoderDecoder( (backbone): InternViT6B( (patch_embed): PatchEmbed( (proj): Conv2d(3, 3200, kernel_size=(14, 14), stride=(14, 14)) (norm): Identity() ) (pos_drop): Identity() (blocks): ModuleList( (0): Block( (norm1): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=3200, out_features=9600, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=3200, out_features=3200, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) (inner_attn): FlashAttention() (q_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (k_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) ) (ls1): LayerScale() (drop_path1): Identity() (norm2): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=3200, out_features=12800, bias=True) (act): GELU(approximate='none') (drop1): Dropout(p=0.0, inplace=False) (fc2): Linear(in_features=12800, out_features=3200, bias=True) (drop2): Dropout(p=0.0, inplace=False) ) (ls2): LayerScale() (drop_path2): Identity() ) (1): Block( (norm1): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=3200, out_features=9600, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=3200, out_features=3200, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) (inner_attn): FlashAttention() (q_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (k_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) ) (ls1): LayerScale() (drop_path1): DropPath(drop_prob=0.009) (norm2): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=3200, out_features=12800, bias=True) (act): GELU(approximate='none') (drop1): Dropout(p=0.0, inplace=False) (fc2): Linear(in_features=12800, out_features=3200, bias=True) (drop2): Dropout(p=0.0, inplace=False) ) (ls2): LayerScale() (drop_path2): DropPath(drop_prob=0.009) ) (2): Block( (norm1): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=3200, out_features=9600, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=3200, out_features=3200, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) (inner_attn): FlashAttention() (q_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (k_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) ) (ls1): LayerScale() (drop_path1): DropPath(drop_prob=0.017) (norm2): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=3200, out_features=12800, bias=True) (act): GELU(approximate='none') (drop1): Dropout(p=0.0, inplace=False) (fc2): Linear(in_features=12800, out_features=3200, bias=True) (drop2): Dropout(p=0.0, inplace=False) ) (ls2): LayerScale() (drop_path2): DropPath(drop_prob=0.017) ) (3): Block( (norm1): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=3200, out_features=9600, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=3200, out_features=3200, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) (inner_attn): FlashAttention() (q_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (k_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) ) (ls1): LayerScale() (drop_path1): DropPath(drop_prob=0.026) (norm2): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=3200, out_features=12800, bias=True) (act): GELU(approximate='none') (drop1): Dropout(p=0.0, inplace=False) (fc2): Linear(in_features=12800, out_features=3200, bias=True) (drop2): Dropout(p=0.0, inplace=False) ) (ls2): LayerScale() (drop_path2): DropPath(drop_prob=0.026) ) (4): Block( (norm1): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=3200, out_features=9600, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=3200, out_features=3200, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) (inner_attn): FlashAttention() (q_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (k_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) ) (ls1): LayerScale() (drop_path1): DropPath(drop_prob=0.034) (norm2): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=3200, out_features=12800, bias=True) (act): GELU(approximate='none') (drop1): Dropout(p=0.0, inplace=False) (fc2): Linear(in_features=12800, out_features=3200, bias=True) (drop2): Dropout(p=0.0, inplace=False) ) (ls2): LayerScale() (drop_path2): DropPath(drop_prob=0.034) ) (5): Block( (norm1): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=3200, out_features=9600, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=3200, out_features=3200, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) (inner_attn): FlashAttention() (q_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (k_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) ) (ls1): LayerScale() (drop_path1): DropPath(drop_prob=0.043) (norm2): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=3200, out_features=12800, bias=True) (act): GELU(approximate='none') (drop1): Dropout(p=0.0, inplace=False) (fc2): Linear(in_features=12800, out_features=3200, bias=True) (drop2): Dropout(p=0.0, inplace=False) ) (ls2): LayerScale() (drop_path2): DropPath(drop_prob=0.043) ) (6): Block( (norm1): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=3200, out_features=9600, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=3200, out_features=3200, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) (inner_attn): FlashAttention() (q_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (k_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) ) (ls1): LayerScale() (drop_path1): DropPath(drop_prob=0.051) (norm2): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=3200, out_features=12800, bias=True) (act): GELU(approximate='none') (drop1): Dropout(p=0.0, inplace=False) (fc2): Linear(in_features=12800, out_features=3200, bias=True) (drop2): Dropout(p=0.0, inplace=False) ) (ls2): LayerScale() (drop_path2): DropPath(drop_prob=0.051) ) (7): Block( (norm1): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=3200, out_features=9600, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=3200, out_features=3200, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) (inner_attn): FlashAttention() (q_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (k_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) ) (ls1): LayerScale() (drop_path1): DropPath(drop_prob=0.060) (norm2): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=3200, out_features=12800, bias=True) (act): GELU(approximate='none') (drop1): Dropout(p=0.0, inplace=False) (fc2): Linear(in_features=12800, out_features=3200, bias=True) (drop2): Dropout(p=0.0, inplace=False) ) (ls2): LayerScale() (drop_path2): DropPath(drop_prob=0.060) ) (8): Block( (norm1): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=3200, out_features=9600, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=3200, out_features=3200, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) (inner_attn): FlashAttention() (q_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (k_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) ) (ls1): LayerScale() (drop_path1): DropPath(drop_prob=0.068) (norm2): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=3200, out_features=12800, bias=True) (act): GELU(approximate='none') (drop1): Dropout(p=0.0, inplace=False) (fc2): Linear(in_features=12800, out_features=3200, bias=True) (drop2): Dropout(p=0.0, inplace=False) ) (ls2): LayerScale() (drop_path2): DropPath(drop_prob=0.068) ) (9): Block( (norm1): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=3200, out_features=9600, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=3200, out_features=3200, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) (inner_attn): FlashAttention() (q_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (k_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) ) (ls1): LayerScale() (drop_path1): DropPath(drop_prob=0.077) (norm2): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=3200, out_features=12800, bias=True) (act): GELU(approximate='none') (drop1): Dropout(p=0.0, inplace=False) (fc2): Linear(in_features=12800, out_features=3200, bias=True) (drop2): Dropout(p=0.0, inplace=False) ) (ls2): LayerScale() (drop_path2): DropPath(drop_prob=0.077) ) (10): Block( (norm1): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=3200, out_features=9600, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=3200, out_features=3200, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) (inner_attn): FlashAttention() (q_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (k_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) ) (ls1): LayerScale() (drop_path1): DropPath(drop_prob=0.085) (norm2): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=3200, out_features=12800, bias=True) (act): GELU(approximate='none') (drop1): Dropout(p=0.0, inplace=False) (fc2): Linear(in_features=12800, out_features=3200, bias=True) (drop2): Dropout(p=0.0, inplace=False) ) (ls2): LayerScale() (drop_path2): DropPath(drop_prob=0.085) ) (11): Block( (norm1): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=3200, out_features=9600, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=3200, out_features=3200, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) (inner_attn): FlashAttention() (q_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (k_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) ) (ls1): LayerScale() (drop_path1): DropPath(drop_prob=0.094) (norm2): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=3200, out_features=12800, bias=True) (act): GELU(approximate='none') (drop1): Dropout(p=0.0, inplace=False) (fc2): Linear(in_features=12800, out_features=3200, bias=True) (drop2): Dropout(p=0.0, inplace=False) ) (ls2): LayerScale() (drop_path2): DropPath(drop_prob=0.094) ) (12): Block( (norm1): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=3200, out_features=9600, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=3200, out_features=3200, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) (inner_attn): FlashAttention() (q_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (k_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) ) (ls1): LayerScale() (drop_path1): DropPath(drop_prob=0.102) (norm2): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=3200, out_features=12800, bias=True) (act): GELU(approximate='none') (drop1): Dropout(p=0.0, inplace=False) (fc2): Linear(in_features=12800, out_features=3200, bias=True) (drop2): Dropout(p=0.0, inplace=False) ) (ls2): LayerScale() (drop_path2): DropPath(drop_prob=0.102) ) (13): Block( (norm1): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=3200, out_features=9600, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=3200, out_features=3200, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) (inner_attn): FlashAttention() (q_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (k_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) ) (ls1): LayerScale() (drop_path1): DropPath(drop_prob=0.111) (norm2): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=3200, out_features=12800, bias=True) (act): GELU(approximate='none') (drop1): Dropout(p=0.0, inplace=False) (fc2): Linear(in_features=12800, out_features=3200, bias=True) (drop2): Dropout(p=0.0, inplace=False) ) (ls2): LayerScale() (drop_path2): DropPath(drop_prob=0.111) ) (14): Block( (norm1): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=3200, out_features=9600, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=3200, out_features=3200, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) (inner_attn): FlashAttention() (q_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (k_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) ) (ls1): LayerScale() (drop_path1): DropPath(drop_prob=0.119) (norm2): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=3200, out_features=12800, bias=True) (act): GELU(approximate='none') (drop1): Dropout(p=0.0, inplace=False) (fc2): Linear(in_features=12800, out_features=3200, bias=True) (drop2): Dropout(p=0.0, inplace=False) ) (ls2): LayerScale() (drop_path2): DropPath(drop_prob=0.119) ) (15): Block( (norm1): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=3200, out_features=9600, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=3200, out_features=3200, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) (inner_attn): FlashAttention() (q_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (k_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) ) (ls1): LayerScale() (drop_path1): DropPath(drop_prob=0.128) (norm2): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=3200, out_features=12800, bias=True) (act): GELU(approximate='none') (drop1): Dropout(p=0.0, inplace=False) (fc2): Linear(in_features=12800, out_features=3200, bias=True) (drop2): Dropout(p=0.0, inplace=False) ) (ls2): LayerScale() (drop_path2): DropPath(drop_prob=0.128) ) (16): Block( (norm1): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=3200, out_features=9600, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=3200, out_features=3200, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) (inner_attn): FlashAttention() (q_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (k_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) ) (ls1): LayerScale() (drop_path1): DropPath(drop_prob=0.136) (norm2): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=3200, out_features=12800, bias=True) (act): GELU(approximate='none') (drop1): Dropout(p=0.0, inplace=False) (fc2): Linear(in_features=12800, out_features=3200, bias=True) (drop2): Dropout(p=0.0, inplace=False) ) (ls2): LayerScale() (drop_path2): DropPath(drop_prob=0.136) ) (17): Block( (norm1): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=3200, out_features=9600, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=3200, out_features=3200, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) (inner_attn): FlashAttention() (q_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (k_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) ) (ls1): LayerScale() (drop_path1): DropPath(drop_prob=0.145) (norm2): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=3200, out_features=12800, bias=True) (act): GELU(approximate='none') (drop1): Dropout(p=0.0, inplace=False) (fc2): Linear(in_features=12800, out_features=3200, bias=True) (drop2): Dropout(p=0.0, inplace=False) ) (ls2): LayerScale() (drop_path2): DropPath(drop_prob=0.145) ) (18): Block( (norm1): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=3200, out_features=9600, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=3200, out_features=3200, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) (inner_attn): FlashAttention() (q_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (k_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) ) (ls1): LayerScale() (drop_path1): DropPath(drop_prob=0.153) (norm2): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=3200, out_features=12800, bias=True) (act): GELU(approximate='none') (drop1): Dropout(p=0.0, inplace=False) (fc2): Linear(in_features=12800, out_features=3200, bias=True) (drop2): Dropout(p=0.0, inplace=False) ) (ls2): LayerScale() (drop_path2): DropPath(drop_prob=0.153) ) (19): Block( (norm1): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=3200, out_features=9600, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=3200, out_features=3200, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) (inner_attn): FlashAttention() (q_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (k_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) ) (ls1): LayerScale() (drop_path1): DropPath(drop_prob=0.162) (norm2): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=3200, out_features=12800, bias=True) (act): GELU(approximate='none') (drop1): Dropout(p=0.0, inplace=False) (fc2): Linear(in_features=12800, out_features=3200, bias=True) (drop2): Dropout(p=0.0, inplace=False) ) (ls2): LayerScale() (drop_path2): DropPath(drop_prob=0.162) ) (20): Block( (norm1): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=3200, out_features=9600, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=3200, out_features=3200, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) (inner_attn): FlashAttention() (q_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (k_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) ) (ls1): LayerScale() (drop_path1): DropPath(drop_prob=0.170) (norm2): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=3200, out_features=12800, bias=True) (act): GELU(approximate='none') (drop1): Dropout(p=0.0, inplace=False) (fc2): Linear(in_features=12800, out_features=3200, bias=True) (drop2): Dropout(p=0.0, inplace=False) ) (ls2): LayerScale() (drop_path2): DropPath(drop_prob=0.170) ) (21): Block( (norm1): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=3200, out_features=9600, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=3200, out_features=3200, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) (inner_attn): FlashAttention() (q_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (k_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) ) (ls1): LayerScale() (drop_path1): DropPath(drop_prob=0.179) (norm2): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=3200, out_features=12800, bias=True) (act): GELU(approximate='none') (drop1): Dropout(p=0.0, inplace=False) (fc2): Linear(in_features=12800, out_features=3200, bias=True) (drop2): Dropout(p=0.0, inplace=False) ) (ls2): LayerScale() (drop_path2): DropPath(drop_prob=0.179) ) (22): Block( (norm1): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=3200, out_features=9600, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=3200, out_features=3200, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) (inner_attn): FlashAttention() (q_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (k_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) ) (ls1): LayerScale() (drop_path1): DropPath(drop_prob=0.187) (norm2): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=3200, out_features=12800, bias=True) (act): GELU(approximate='none') (drop1): Dropout(p=0.0, inplace=False) (fc2): Linear(in_features=12800, out_features=3200, bias=True) (drop2): Dropout(p=0.0, inplace=False) ) (ls2): LayerScale() (drop_path2): DropPath(drop_prob=0.187) ) (23): Block( (norm1): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=3200, out_features=9600, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=3200, out_features=3200, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) (inner_attn): FlashAttention() (q_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (k_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) ) (ls1): LayerScale() (drop_path1): DropPath(drop_prob=0.196) (norm2): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=3200, out_features=12800, bias=True) (act): GELU(approximate='none') (drop1): Dropout(p=0.0, inplace=False) (fc2): Linear(in_features=12800, out_features=3200, bias=True) (drop2): Dropout(p=0.0, inplace=False) ) (ls2): LayerScale() (drop_path2): DropPath(drop_prob=0.196) ) (24): Block( (norm1): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=3200, out_features=9600, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=3200, out_features=3200, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) (inner_attn): FlashAttention() (q_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (k_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) ) (ls1): LayerScale() (drop_path1): DropPath(drop_prob=0.204) (norm2): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=3200, out_features=12800, bias=True) (act): GELU(approximate='none') (drop1): Dropout(p=0.0, inplace=False) (fc2): Linear(in_features=12800, out_features=3200, bias=True) (drop2): Dropout(p=0.0, inplace=False) ) (ls2): LayerScale() (drop_path2): DropPath(drop_prob=0.204) ) (25): Block( (norm1): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=3200, out_features=9600, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=3200, out_features=3200, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) (inner_attn): FlashAttention() (q_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (k_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) ) (ls1): LayerScale() (drop_path1): DropPath(drop_prob=0.213) (norm2): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=3200, out_features=12800, bias=True) (act): GELU(approximate='none') (drop1): Dropout(p=0.0, inplace=False) (fc2): Linear(in_features=12800, out_features=3200, bias=True) (drop2): Dropout(p=0.0, inplace=False) ) (ls2): LayerScale() (drop_path2): DropPath(drop_prob=0.213) ) (26): Block( (norm1): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=3200, out_features=9600, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=3200, out_features=3200, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) (inner_attn): FlashAttention() (q_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (k_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) ) (ls1): LayerScale() (drop_path1): DropPath(drop_prob=0.221) (norm2): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=3200, out_features=12800, bias=True) (act): GELU(approximate='none') (drop1): Dropout(p=0.0, inplace=False) (fc2): Linear(in_features=12800, out_features=3200, bias=True) (drop2): Dropout(p=0.0, inplace=False) ) (ls2): LayerScale() (drop_path2): DropPath(drop_prob=0.221) ) (27): Block( (norm1): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=3200, out_features=9600, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=3200, out_features=3200, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) (inner_attn): FlashAttention() (q_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (k_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) ) (ls1): LayerScale() (drop_path1): DropPath(drop_prob=0.230) (norm2): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=3200, out_features=12800, bias=True) (act): GELU(approximate='none') (drop1): Dropout(p=0.0, inplace=False) (fc2): Linear(in_features=12800, out_features=3200, bias=True) (drop2): Dropout(p=0.0, inplace=False) ) (ls2): LayerScale() (drop_path2): DropPath(drop_prob=0.230) ) (28): Block( (norm1): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=3200, out_features=9600, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=3200, out_features=3200, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) (inner_attn): FlashAttention() (q_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (k_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) ) (ls1): LayerScale() (drop_path1): DropPath(drop_prob=0.238) (norm2): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=3200, out_features=12800, bias=True) (act): GELU(approximate='none') (drop1): Dropout(p=0.0, inplace=False) (fc2): Linear(in_features=12800, out_features=3200, bias=True) (drop2): Dropout(p=0.0, inplace=False) ) (ls2): LayerScale() (drop_path2): DropPath(drop_prob=0.238) ) (29): Block( (norm1): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=3200, out_features=9600, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=3200, out_features=3200, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) (inner_attn): FlashAttention() (q_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (k_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) ) (ls1): LayerScale() (drop_path1): DropPath(drop_prob=0.247) (norm2): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=3200, out_features=12800, bias=True) (act): GELU(approximate='none') (drop1): Dropout(p=0.0, inplace=False) (fc2): Linear(in_features=12800, out_features=3200, bias=True) (drop2): Dropout(p=0.0, inplace=False) ) (ls2): LayerScale() (drop_path2): DropPath(drop_prob=0.247) ) (30): Block( (norm1): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=3200, out_features=9600, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=3200, out_features=3200, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) (inner_attn): FlashAttention() (q_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (k_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) ) (ls1): LayerScale() (drop_path1): DropPath(drop_prob=0.255) (norm2): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=3200, out_features=12800, bias=True) (act): GELU(approximate='none') (drop1): Dropout(p=0.0, inplace=False) (fc2): Linear(in_features=12800, out_features=3200, bias=True) (drop2): Dropout(p=0.0, inplace=False) ) (ls2): LayerScale() (drop_path2): DropPath(drop_prob=0.255) ) (31): Block( (norm1): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=3200, out_features=9600, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=3200, out_features=3200, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) (inner_attn): FlashAttention() (q_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (k_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) ) (ls1): LayerScale() (drop_path1): DropPath(drop_prob=0.264) (norm2): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=3200, out_features=12800, bias=True) (act): GELU(approximate='none') (drop1): Dropout(p=0.0, inplace=False) (fc2): Linear(in_features=12800, out_features=3200, bias=True) (drop2): Dropout(p=0.0, inplace=False) ) (ls2): LayerScale() (drop_path2): DropPath(drop_prob=0.264) ) (32): Block( (norm1): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=3200, out_features=9600, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=3200, out_features=3200, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) (inner_attn): FlashAttention() (q_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (k_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) ) (ls1): LayerScale() (drop_path1): DropPath(drop_prob=0.272) (norm2): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=3200, out_features=12800, bias=True) (act): GELU(approximate='none') (drop1): Dropout(p=0.0, inplace=False) (fc2): Linear(in_features=12800, out_features=3200, bias=True) (drop2): Dropout(p=0.0, inplace=False) ) (ls2): LayerScale() (drop_path2): DropPath(drop_prob=0.272) ) (33): Block( (norm1): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=3200, out_features=9600, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=3200, out_features=3200, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) (inner_attn): FlashAttention() (q_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (k_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) ) (ls1): LayerScale() (drop_path1): DropPath(drop_prob=0.281) (norm2): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=3200, out_features=12800, bias=True) (act): GELU(approximate='none') (drop1): Dropout(p=0.0, inplace=False) (fc2): Linear(in_features=12800, out_features=3200, bias=True) (drop2): Dropout(p=0.0, inplace=False) ) (ls2): LayerScale() (drop_path2): DropPath(drop_prob=0.281) ) (34): Block( (norm1): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=3200, out_features=9600, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=3200, out_features=3200, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) (inner_attn): FlashAttention() (q_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (k_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) ) (ls1): LayerScale() (drop_path1): DropPath(drop_prob=0.289) (norm2): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=3200, out_features=12800, bias=True) (act): GELU(approximate='none') (drop1): Dropout(p=0.0, inplace=False) (fc2): Linear(in_features=12800, out_features=3200, bias=True) (drop2): Dropout(p=0.0, inplace=False) ) (ls2): LayerScale() (drop_path2): DropPath(drop_prob=0.289) ) (35): Block( (norm1): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=3200, out_features=9600, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=3200, out_features=3200, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) (inner_attn): FlashAttention() (q_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (k_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) ) (ls1): LayerScale() (drop_path1): DropPath(drop_prob=0.298) (norm2): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=3200, out_features=12800, bias=True) (act): GELU(approximate='none') (drop1): Dropout(p=0.0, inplace=False) (fc2): Linear(in_features=12800, out_features=3200, bias=True) (drop2): Dropout(p=0.0, inplace=False) ) (ls2): LayerScale() (drop_path2): DropPath(drop_prob=0.298) ) (36): Block( (norm1): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=3200, out_features=9600, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=3200, out_features=3200, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) (inner_attn): FlashAttention() (q_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (k_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) ) (ls1): LayerScale() (drop_path1): DropPath(drop_prob=0.306) (norm2): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=3200, out_features=12800, bias=True) (act): GELU(approximate='none') (drop1): Dropout(p=0.0, inplace=False) (fc2): Linear(in_features=12800, out_features=3200, bias=True) (drop2): Dropout(p=0.0, inplace=False) ) (ls2): LayerScale() (drop_path2): DropPath(drop_prob=0.306) ) (37): Block( (norm1): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=3200, out_features=9600, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=3200, out_features=3200, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) (inner_attn): FlashAttention() (q_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (k_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) ) (ls1): LayerScale() (drop_path1): DropPath(drop_prob=0.315) (norm2): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=3200, out_features=12800, bias=True) (act): GELU(approximate='none') (drop1): Dropout(p=0.0, inplace=False) (fc2): Linear(in_features=12800, out_features=3200, bias=True) (drop2): Dropout(p=0.0, inplace=False) ) (ls2): LayerScale() (drop_path2): DropPath(drop_prob=0.315) ) (38): Block( (norm1): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=3200, out_features=9600, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=3200, out_features=3200, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) (inner_attn): FlashAttention() (q_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (k_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) ) (ls1): LayerScale() (drop_path1): DropPath(drop_prob=0.323) (norm2): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=3200, out_features=12800, bias=True) (act): GELU(approximate='none') (drop1): Dropout(p=0.0, inplace=False) (fc2): Linear(in_features=12800, out_features=3200, bias=True) (drop2): Dropout(p=0.0, inplace=False) ) (ls2): LayerScale() (drop_path2): DropPath(drop_prob=0.323) ) (39): Block( (norm1): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=3200, out_features=9600, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=3200, out_features=3200, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) (inner_attn): FlashAttention() (q_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (k_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) ) (ls1): LayerScale() (drop_path1): DropPath(drop_prob=0.332) (norm2): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=3200, out_features=12800, bias=True) (act): GELU(approximate='none') (drop1): Dropout(p=0.0, inplace=False) (fc2): Linear(in_features=12800, out_features=3200, bias=True) (drop2): Dropout(p=0.0, inplace=False) ) (ls2): LayerScale() (drop_path2): DropPath(drop_prob=0.332) ) (40): Block( (norm1): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=3200, out_features=9600, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=3200, out_features=3200, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) (inner_attn): FlashAttention() (q_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (k_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) ) (ls1): LayerScale() (drop_path1): DropPath(drop_prob=0.340) (norm2): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=3200, out_features=12800, bias=True) (act): GELU(approximate='none') (drop1): Dropout(p=0.0, inplace=False) (fc2): Linear(in_features=12800, out_features=3200, bias=True) (drop2): Dropout(p=0.0, inplace=False) ) (ls2): LayerScale() (drop_path2): DropPath(drop_prob=0.340) ) (41): Block( (norm1): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=3200, out_features=9600, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=3200, out_features=3200, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) (inner_attn): FlashAttention() (q_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (k_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) ) (ls1): LayerScale() (drop_path1): DropPath(drop_prob=0.349) (norm2): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=3200, out_features=12800, bias=True) (act): GELU(approximate='none') (drop1): Dropout(p=0.0, inplace=False) (fc2): Linear(in_features=12800, out_features=3200, bias=True) (drop2): Dropout(p=0.0, inplace=False) ) (ls2): LayerScale() (drop_path2): DropPath(drop_prob=0.349) ) (42): Block( (norm1): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=3200, out_features=9600, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=3200, out_features=3200, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) (inner_attn): FlashAttention() (q_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (k_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) ) (ls1): LayerScale() (drop_path1): DropPath(drop_prob=0.357) (norm2): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=3200, out_features=12800, bias=True) (act): GELU(approximate='none') (drop1): Dropout(p=0.0, inplace=False) (fc2): Linear(in_features=12800, out_features=3200, bias=True) (drop2): Dropout(p=0.0, inplace=False) ) (ls2): LayerScale() (drop_path2): DropPath(drop_prob=0.357) ) (43): Block( (norm1): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=3200, out_features=9600, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=3200, out_features=3200, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) (inner_attn): FlashAttention() (q_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (k_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) ) (ls1): LayerScale() (drop_path1): DropPath(drop_prob=0.366) (norm2): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=3200, out_features=12800, bias=True) (act): GELU(approximate='none') (drop1): Dropout(p=0.0, inplace=False) (fc2): Linear(in_features=12800, out_features=3200, bias=True) (drop2): Dropout(p=0.0, inplace=False) ) (ls2): LayerScale() (drop_path2): DropPath(drop_prob=0.366) ) (44): Block( (norm1): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=3200, out_features=9600, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=3200, out_features=3200, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) (inner_attn): FlashAttention() (q_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (k_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) ) (ls1): LayerScale() (drop_path1): DropPath(drop_prob=0.374) (norm2): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=3200, out_features=12800, bias=True) (act): GELU(approximate='none') (drop1): Dropout(p=0.0, inplace=False) (fc2): Linear(in_features=12800, out_features=3200, bias=True) (drop2): Dropout(p=0.0, inplace=False) ) (ls2): LayerScale() (drop_path2): DropPath(drop_prob=0.374) ) (45): Block( (norm1): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=3200, out_features=9600, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=3200, out_features=3200, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) (inner_attn): FlashAttention() (q_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (k_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) ) (ls1): LayerScale() (drop_path1): DropPath(drop_prob=0.383) (norm2): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=3200, out_features=12800, bias=True) (act): GELU(approximate='none') (drop1): Dropout(p=0.0, inplace=False) (fc2): Linear(in_features=12800, out_features=3200, bias=True) (drop2): Dropout(p=0.0, inplace=False) ) (ls2): LayerScale() (drop_path2): DropPath(drop_prob=0.383) ) (46): Block( (norm1): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=3200, out_features=9600, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=3200, out_features=3200, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) (inner_attn): FlashAttention() (q_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (k_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) ) (ls1): LayerScale() (drop_path1): DropPath(drop_prob=0.391) (norm2): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=3200, out_features=12800, bias=True) (act): GELU(approximate='none') (drop1): Dropout(p=0.0, inplace=False) (fc2): Linear(in_features=12800, out_features=3200, bias=True) (drop2): Dropout(p=0.0, inplace=False) ) (ls2): LayerScale() (drop_path2): DropPath(drop_prob=0.391) ) (47): Block( (norm1): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=3200, out_features=9600, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=3200, out_features=3200, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) (inner_attn): FlashAttention() (q_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (k_norm): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) ) (ls1): LayerScale() (drop_path1): DropPath(drop_prob=0.400) (norm2): FusedRMSNorm(torch.Size([3200]), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=3200, out_features=12800, bias=True) (act): GELU(approximate='none') (drop1): Dropout(p=0.0, inplace=False) (fc2): Linear(in_features=12800, out_features=3200, bias=True) (drop2): Dropout(p=0.0, inplace=False) ) (ls2): LayerScale() (drop_path2): DropPath(drop_prob=0.400) ) ) ) (decode_head): FCNHead( input_transform=None, ignore_index=255, align_corners=False (loss_decode): CrossEntropyLoss(avg_non_ignore=False) (conv_seg): Conv2d(3200, 150, kernel_size=(1, 1), stride=(1, 1)) (convs): Identity() (norm): SyncBatchNorm(3200, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) init_cfg={'type': 'Normal', 'std': 0.01, 'override': {'name': 'conv_seg'}} ) 2023-11-02 01:54:48,889 - mmseg - INFO - Loaded 20210 images 2023-11-02 01:54:48,889 - mmseg - INFO - Randomly select 20210 images 2023-11-02 01:54:50,258 - mmseg - INFO - {'num_layers': 48, 'layer_decay_rate': 0.95} 2023-11-02 01:54:50,259 - mmseg - INFO - Build LayerDecayOptimizerConstructor 0.950000 - 50 2023-11-02 01:54:50,263 - mmseg - INFO - Param groups = { "layer_0_decay": { "param_names": [ "backbone.pos_embed", "backbone.cls_token", "backbone.patch_embed.proj.weight" ], "lr_scale": 0.0809947108175928, "lr": 3.2397884327037123e-06, "weight_decay": 0.05 }, "layer_0_no_decay": { "param_names": [ "backbone.patch_embed.proj.bias" ], "lr_scale": 0.0809947108175928, "lr": 3.2397884327037123e-06, "weight_decay": 0.0 }, "layer_1_no_decay": { "param_names": [ "backbone.blocks.0.norm1.weight", "backbone.blocks.0.attn.proj.bias", "backbone.blocks.0.attn.q_norm.weight", "backbone.blocks.0.attn.k_norm.weight", "backbone.blocks.0.ls1.gamma", "backbone.blocks.0.norm2.weight", "backbone.blocks.0.mlp.fc1.bias", "backbone.blocks.0.mlp.fc2.bias", "backbone.blocks.0.ls2.gamma" ], "lr_scale": 0.0852575903343082, "lr": 3.4103036133723282e-06, "weight_decay": 0.0 }, "layer_1_decay": { "param_names": [ "backbone.blocks.0.attn.qkv.weight", "backbone.blocks.0.attn.proj.weight", "backbone.blocks.0.mlp.fc1.weight", "backbone.blocks.0.mlp.fc2.weight" ], "lr_scale": 0.0852575903343082, "lr": 3.4103036133723282e-06, "weight_decay": 0.05 }, "layer_2_no_decay": { "param_names": [ "backbone.blocks.1.norm1.weight", "backbone.blocks.1.attn.proj.bias", "backbone.blocks.1.attn.q_norm.weight", "backbone.blocks.1.attn.k_norm.weight", "backbone.blocks.1.ls1.gamma", "backbone.blocks.1.norm2.weight", "backbone.blocks.1.mlp.fc1.bias", "backbone.blocks.1.mlp.fc2.bias", "backbone.blocks.1.ls2.gamma" ], "lr_scale": 0.08974483193085075, "lr": 3.5897932772340305e-06, "weight_decay": 0.0 }, "layer_2_decay": { "param_names": [ "backbone.blocks.1.attn.qkv.weight", "backbone.blocks.1.attn.proj.weight", "backbone.blocks.1.mlp.fc1.weight", "backbone.blocks.1.mlp.fc2.weight" ], "lr_scale": 0.08974483193085075, "lr": 3.5897932772340305e-06, "weight_decay": 0.05 }, "layer_3_no_decay": { "param_names": [ "backbone.blocks.2.norm1.weight", "backbone.blocks.2.attn.proj.bias", "backbone.blocks.2.attn.q_norm.weight", "backbone.blocks.2.attn.k_norm.weight", "backbone.blocks.2.ls1.gamma", "backbone.blocks.2.norm2.weight", "backbone.blocks.2.mlp.fc1.bias", "backbone.blocks.2.mlp.fc2.bias", "backbone.blocks.2.ls2.gamma" ], "lr_scale": 0.09446824413773763, "lr": 3.7787297655095058e-06, "weight_decay": 0.0 }, "layer_3_decay": { "param_names": [ "backbone.blocks.2.attn.qkv.weight", "backbone.blocks.2.attn.proj.weight", "backbone.blocks.2.mlp.fc1.weight", "backbone.blocks.2.mlp.fc2.weight" ], "lr_scale": 0.09446824413773763, "lr": 3.7787297655095058e-06, "weight_decay": 0.05 }, "layer_4_no_decay": { "param_names": [ "backbone.blocks.3.norm1.weight", "backbone.blocks.3.attn.proj.bias", "backbone.blocks.3.attn.q_norm.weight", "backbone.blocks.3.attn.k_norm.weight", "backbone.blocks.3.ls1.gamma", "backbone.blocks.3.norm2.weight", "backbone.blocks.3.mlp.fc1.bias", "backbone.blocks.3.mlp.fc2.bias", "backbone.blocks.3.ls2.gamma" ], "lr_scale": 0.09944025698709225, "lr": 3.97761027948369e-06, "weight_decay": 0.0 }, "layer_4_decay": { "param_names": [ "backbone.blocks.3.attn.qkv.weight", "backbone.blocks.3.attn.proj.weight", "backbone.blocks.3.mlp.fc1.weight", "backbone.blocks.3.mlp.fc2.weight" ], "lr_scale": 0.09944025698709225, "lr": 3.97761027948369e-06, "weight_decay": 0.05 }, "layer_5_no_decay": { "param_names": [ "backbone.blocks.4.norm1.weight", "backbone.blocks.4.attn.proj.bias", "backbone.blocks.4.attn.q_norm.weight", "backbone.blocks.4.attn.k_norm.weight", "backbone.blocks.4.ls1.gamma", "backbone.blocks.4.norm2.weight", "backbone.blocks.4.mlp.fc1.bias", "backbone.blocks.4.mlp.fc2.bias", "backbone.blocks.4.ls2.gamma" ], "lr_scale": 0.10467395472325501, "lr": 4.186958188930201e-06, "weight_decay": 0.0 }, "layer_5_decay": { "param_names": [ "backbone.blocks.4.attn.qkv.weight", "backbone.blocks.4.attn.proj.weight", "backbone.blocks.4.mlp.fc1.weight", "backbone.blocks.4.mlp.fc2.weight" ], "lr_scale": 0.10467395472325501, "lr": 4.186958188930201e-06, "weight_decay": 0.05 }, "layer_6_no_decay": { "param_names": [ "backbone.blocks.5.norm1.weight", "backbone.blocks.5.attn.proj.bias", "backbone.blocks.5.attn.q_norm.weight", "backbone.blocks.5.attn.k_norm.weight", "backbone.blocks.5.ls1.gamma", "backbone.blocks.5.norm2.weight", "backbone.blocks.5.mlp.fc1.bias", "backbone.blocks.5.mlp.fc2.bias", "backbone.blocks.5.ls2.gamma" ], "lr_scale": 0.11018311023500528, "lr": 4.407324409400211e-06, "weight_decay": 0.0 }, "layer_6_decay": { "param_names": [ "backbone.blocks.5.attn.qkv.weight", "backbone.blocks.5.attn.proj.weight", "backbone.blocks.5.mlp.fc1.weight", "backbone.blocks.5.mlp.fc2.weight" ], "lr_scale": 0.11018311023500528, "lr": 4.407324409400211e-06, "weight_decay": 0.05 }, "layer_7_no_decay": { "param_names": [ "backbone.blocks.6.norm1.weight", "backbone.blocks.6.attn.proj.bias", "backbone.blocks.6.attn.q_norm.weight", "backbone.blocks.6.attn.k_norm.weight", "backbone.blocks.6.ls1.gamma", "backbone.blocks.6.norm2.weight", "backbone.blocks.6.mlp.fc1.bias", "backbone.blocks.6.mlp.fc2.bias", "backbone.blocks.6.ls2.gamma" ], "lr_scale": 0.11598222130000556, "lr": 4.639288852000222e-06, "weight_decay": 0.0 }, "layer_7_decay": { "param_names": [ "backbone.blocks.6.attn.qkv.weight", "backbone.blocks.6.attn.proj.weight", "backbone.blocks.6.mlp.fc1.weight", "backbone.blocks.6.mlp.fc2.weight" ], "lr_scale": 0.11598222130000556, "lr": 4.639288852000222e-06, "weight_decay": 0.05 }, "layer_8_no_decay": { "param_names": [ "backbone.blocks.7.norm1.weight", "backbone.blocks.7.attn.proj.bias", "backbone.blocks.7.attn.q_norm.weight", "backbone.blocks.7.attn.k_norm.weight", "backbone.blocks.7.ls1.gamma", "backbone.blocks.7.norm2.weight", "backbone.blocks.7.mlp.fc1.bias", "backbone.blocks.7.mlp.fc2.bias", "backbone.blocks.7.ls2.gamma" ], "lr_scale": 0.12208654873684796, "lr": 4.883461949473919e-06, "weight_decay": 0.0 }, "layer_8_decay": { "param_names": [ "backbone.blocks.7.attn.qkv.weight", "backbone.blocks.7.attn.proj.weight", "backbone.blocks.7.mlp.fc1.weight", "backbone.blocks.7.mlp.fc2.weight" ], "lr_scale": 0.12208654873684796, "lr": 4.883461949473919e-06, "weight_decay": 0.05 }, "layer_9_no_decay": { "param_names": [ "backbone.blocks.8.norm1.weight", "backbone.blocks.8.attn.proj.bias", "backbone.blocks.8.attn.q_norm.weight", "backbone.blocks.8.attn.k_norm.weight", "backbone.blocks.8.ls1.gamma", "backbone.blocks.8.norm2.weight", "backbone.blocks.8.mlp.fc1.bias", "backbone.blocks.8.mlp.fc2.bias", "backbone.blocks.8.ls2.gamma" ], "lr_scale": 0.12851215656510312, "lr": 5.140486262604126e-06, "weight_decay": 0.0 }, "layer_9_decay": { "param_names": [ "backbone.blocks.8.attn.qkv.weight", "backbone.blocks.8.attn.proj.weight", "backbone.blocks.8.mlp.fc1.weight", "backbone.blocks.8.mlp.fc2.weight" ], "lr_scale": 0.12851215656510312, "lr": 5.140486262604126e-06, "weight_decay": 0.05 }, "layer_10_no_decay": { "param_names": [ "backbone.blocks.9.norm1.weight", "backbone.blocks.9.attn.proj.bias", "backbone.blocks.9.attn.q_norm.weight", "backbone.blocks.9.attn.k_norm.weight", "backbone.blocks.9.ls1.gamma", "backbone.blocks.9.norm2.weight", "backbone.blocks.9.mlp.fc1.bias", "backbone.blocks.9.mlp.fc2.bias", "backbone.blocks.9.ls2.gamma" ], "lr_scale": 0.13527595427905592, "lr": 5.411038171162237e-06, "weight_decay": 0.0 }, "layer_10_decay": { "param_names": [ "backbone.blocks.9.attn.qkv.weight", "backbone.blocks.9.attn.proj.weight", "backbone.blocks.9.mlp.fc1.weight", "backbone.blocks.9.mlp.fc2.weight" ], "lr_scale": 0.13527595427905592, "lr": 5.411038171162237e-06, "weight_decay": 0.05 }, "layer_11_no_decay": { "param_names": [ "backbone.blocks.10.norm1.weight", "backbone.blocks.10.attn.proj.bias", "backbone.blocks.10.attn.q_norm.weight", "backbone.blocks.10.attn.k_norm.weight", "backbone.blocks.10.ls1.gamma", "backbone.blocks.10.norm2.weight", "backbone.blocks.10.mlp.fc1.bias", "backbone.blocks.10.mlp.fc2.bias", "backbone.blocks.10.ls2.gamma" ], "lr_scale": 0.14239574134637467, "lr": 5.695829653854987e-06, "weight_decay": 0.0 }, "layer_11_decay": { "param_names": [ "backbone.blocks.10.attn.qkv.weight", "backbone.blocks.10.attn.proj.weight", "backbone.blocks.10.mlp.fc1.weight", "backbone.blocks.10.mlp.fc2.weight" ], "lr_scale": 0.14239574134637467, "lr": 5.695829653854987e-06, "weight_decay": 0.05 }, "layer_12_no_decay": { "param_names": [ "backbone.blocks.11.norm1.weight", "backbone.blocks.11.attn.proj.bias", "backbone.blocks.11.attn.q_norm.weight", "backbone.blocks.11.attn.k_norm.weight", "backbone.blocks.11.ls1.gamma", "backbone.blocks.11.norm2.weight", "backbone.blocks.11.mlp.fc1.bias", "backbone.blocks.11.mlp.fc2.bias", "backbone.blocks.11.ls2.gamma" ], "lr_scale": 0.14989025404881545, "lr": 5.995610161952619e-06, "weight_decay": 0.0 }, "layer_12_decay": { "param_names": [ "backbone.blocks.11.attn.qkv.weight", "backbone.blocks.11.attn.proj.weight", "backbone.blocks.11.mlp.fc1.weight", "backbone.blocks.11.mlp.fc2.weight" ], "lr_scale": 0.14989025404881545, "lr": 5.995610161952619e-06, "weight_decay": 0.05 }, "layer_13_no_decay": { "param_names": [ "backbone.blocks.12.norm1.weight", "backbone.blocks.12.attn.proj.bias", "backbone.blocks.12.attn.q_norm.weight", "backbone.blocks.12.attn.k_norm.weight", "backbone.blocks.12.ls1.gamma", "backbone.blocks.12.norm2.weight", "backbone.blocks.12.mlp.fc1.bias", "backbone.blocks.12.mlp.fc2.bias", "backbone.blocks.12.ls2.gamma" ], "lr_scale": 0.1577792147882268, "lr": 6.311168591529072e-06, "weight_decay": 0.0 }, "layer_13_decay": { "param_names": [ "backbone.blocks.12.attn.qkv.weight", "backbone.blocks.12.attn.proj.weight", "backbone.blocks.12.mlp.fc1.weight", "backbone.blocks.12.mlp.fc2.weight" ], "lr_scale": 0.1577792147882268, "lr": 6.311168591529072e-06, "weight_decay": 0.05 }, "layer_14_no_decay": { "param_names": [ "backbone.blocks.13.norm1.weight", "backbone.blocks.13.attn.proj.bias", "backbone.blocks.13.attn.q_norm.weight", "backbone.blocks.13.attn.k_norm.weight", "backbone.blocks.13.ls1.gamma", "backbone.blocks.13.norm2.weight", "backbone.blocks.13.mlp.fc1.bias", "backbone.blocks.13.mlp.fc2.bias", "backbone.blocks.13.ls2.gamma" ], "lr_scale": 0.16608338398760716, "lr": 6.6433353595042875e-06, "weight_decay": 0.0 }, "layer_14_decay": { "param_names": [ "backbone.blocks.13.attn.qkv.weight", "backbone.blocks.13.attn.proj.weight", "backbone.blocks.13.mlp.fc1.weight", "backbone.blocks.13.mlp.fc2.weight" ], "lr_scale": 0.16608338398760716, "lr": 6.6433353595042875e-06, "weight_decay": 0.05 }, "layer_15_no_decay": { "param_names": [ "backbone.blocks.14.norm1.weight", "backbone.blocks.14.attn.proj.bias", "backbone.blocks.14.attn.q_norm.weight", "backbone.blocks.14.attn.k_norm.weight", "backbone.blocks.14.ls1.gamma", "backbone.blocks.14.norm2.weight", "backbone.blocks.14.mlp.fc1.bias", "backbone.blocks.14.mlp.fc2.bias", "backbone.blocks.14.ls2.gamma" ], "lr_scale": 0.174824614723797, "lr": 6.9929845889518814e-06, "weight_decay": 0.0 }, "layer_15_decay": { "param_names": [ "backbone.blocks.14.attn.qkv.weight", "backbone.blocks.14.attn.proj.weight", "backbone.blocks.14.mlp.fc1.weight", "backbone.blocks.14.mlp.fc2.weight" ], "lr_scale": 0.174824614723797, "lr": 6.9929845889518814e-06, "weight_decay": 0.05 }, "layer_16_no_decay": { "param_names": [ "backbone.blocks.15.norm1.weight", "backbone.blocks.15.attn.proj.bias", "backbone.blocks.15.attn.q_norm.weight", "backbone.blocks.15.attn.k_norm.weight", "backbone.blocks.15.ls1.gamma", "backbone.blocks.15.norm2.weight", "backbone.blocks.15.mlp.fc1.bias", "backbone.blocks.15.mlp.fc2.bias", "backbone.blocks.15.ls2.gamma" ], "lr_scale": 0.18402591023557582, "lr": 7.361036409423033e-06, "weight_decay": 0.0 }, "layer_16_decay": { "param_names": [ "backbone.blocks.15.attn.qkv.weight", "backbone.blocks.15.attn.proj.weight", "backbone.blocks.15.mlp.fc1.weight", "backbone.blocks.15.mlp.fc2.weight" ], "lr_scale": 0.18402591023557582, "lr": 7.361036409423033e-06, "weight_decay": 0.05 }, "layer_17_no_decay": { "param_names": [ "backbone.blocks.16.norm1.weight", "backbone.blocks.16.attn.proj.bias", "backbone.blocks.16.attn.q_norm.weight", "backbone.blocks.16.attn.k_norm.weight", "backbone.blocks.16.ls1.gamma", "backbone.blocks.16.norm2.weight", "backbone.blocks.16.mlp.fc1.bias", "backbone.blocks.16.mlp.fc2.bias", "backbone.blocks.16.ls2.gamma" ], "lr_scale": 0.19371148445850087, "lr": 7.748459378340036e-06, "weight_decay": 0.0 }, "layer_17_decay": { "param_names": [ "backbone.blocks.16.attn.qkv.weight", "backbone.blocks.16.attn.proj.weight", "backbone.blocks.16.mlp.fc1.weight", "backbone.blocks.16.mlp.fc2.weight" ], "lr_scale": 0.19371148445850087, "lr": 7.748459378340036e-06, "weight_decay": 0.05 }, "layer_18_no_decay": { "param_names": [ "backbone.blocks.17.norm1.weight", "backbone.blocks.17.attn.proj.bias", "backbone.blocks.17.attn.q_norm.weight", "backbone.blocks.17.attn.k_norm.weight", "backbone.blocks.17.ls1.gamma", "backbone.blocks.17.norm2.weight", "backbone.blocks.17.mlp.fc1.bias", "backbone.blocks.17.mlp.fc2.bias", "backbone.blocks.17.ls2.gamma" ], "lr_scale": 0.2039068257457904, "lr": 8.156273029831616e-06, "weight_decay": 0.0 }, "layer_18_decay": { "param_names": [ "backbone.blocks.17.attn.qkv.weight", "backbone.blocks.17.attn.proj.weight", "backbone.blocks.17.mlp.fc1.weight", "backbone.blocks.17.mlp.fc2.weight" ], "lr_scale": 0.2039068257457904, "lr": 8.156273029831616e-06, "weight_decay": 0.05 }, "layer_19_no_decay": { "param_names": [ "backbone.blocks.18.norm1.weight", "backbone.blocks.18.attn.proj.bias", "backbone.blocks.18.attn.q_norm.weight", "backbone.blocks.18.attn.k_norm.weight", "backbone.blocks.18.ls1.gamma", "backbone.blocks.18.norm2.weight", "backbone.blocks.18.mlp.fc1.bias", "backbone.blocks.18.mlp.fc2.bias", "backbone.blocks.18.ls2.gamma" ], "lr_scale": 0.21463876394293727, "lr": 8.585550557717492e-06, "weight_decay": 0.0 }, "layer_19_decay": { "param_names": [ "backbone.blocks.18.attn.qkv.weight", "backbone.blocks.18.attn.proj.weight", "backbone.blocks.18.mlp.fc1.weight", "backbone.blocks.18.mlp.fc2.weight" ], "lr_scale": 0.21463876394293727, "lr": 8.585550557717492e-06, "weight_decay": 0.05 }, "layer_20_no_decay": { "param_names": [ "backbone.blocks.19.norm1.weight", "backbone.blocks.19.attn.proj.bias", "backbone.blocks.19.attn.q_norm.weight", "backbone.blocks.19.attn.k_norm.weight", "backbone.blocks.19.ls1.gamma", "backbone.blocks.19.norm2.weight", "backbone.blocks.19.mlp.fc1.bias", "backbone.blocks.19.mlp.fc2.bias", "backbone.blocks.19.ls2.gamma" ], "lr_scale": 0.22593554099256555, "lr": 9.037421639702623e-06, "weight_decay": 0.0 }, "layer_20_decay": { "param_names": [ "backbone.blocks.19.attn.qkv.weight", "backbone.blocks.19.attn.proj.weight", "backbone.blocks.19.mlp.fc1.weight", "backbone.blocks.19.mlp.fc2.weight" ], "lr_scale": 0.22593554099256555, "lr": 9.037421639702623e-06, "weight_decay": 0.05 }, "layer_21_no_decay": { "param_names": [ "backbone.blocks.20.norm1.weight", "backbone.blocks.20.attn.proj.bias", "backbone.blocks.20.attn.q_norm.weight", "backbone.blocks.20.attn.k_norm.weight", "backbone.blocks.20.ls1.gamma", "backbone.blocks.20.norm2.weight", "backbone.blocks.20.mlp.fc1.bias", "backbone.blocks.20.mlp.fc2.bias", "backbone.blocks.20.ls2.gamma" ], "lr_scale": 0.23782688525533216, "lr": 9.513075410213288e-06, "weight_decay": 0.0 }, "layer_21_decay": { "param_names": [ "backbone.blocks.20.attn.qkv.weight", "backbone.blocks.20.attn.proj.weight", "backbone.blocks.20.mlp.fc1.weight", "backbone.blocks.20.mlp.fc2.weight" ], "lr_scale": 0.23782688525533216, "lr": 9.513075410213288e-06, "weight_decay": 0.05 }, "layer_22_no_decay": { "param_names": [ "backbone.blocks.21.norm1.weight", "backbone.blocks.21.attn.proj.bias", "backbone.blocks.21.attn.q_norm.weight", "backbone.blocks.21.attn.k_norm.weight", "backbone.blocks.21.ls1.gamma", "backbone.blocks.21.norm2.weight", "backbone.blocks.21.mlp.fc1.bias", "backbone.blocks.21.mlp.fc2.bias", "backbone.blocks.21.ls2.gamma" ], "lr_scale": 0.2503440897424549, "lr": 1.0013763589698198e-05, "weight_decay": 0.0 }, "layer_22_decay": { "param_names": [ "backbone.blocks.21.attn.qkv.weight", "backbone.blocks.21.attn.proj.weight", "backbone.blocks.21.mlp.fc1.weight", "backbone.blocks.21.mlp.fc2.weight" ], "lr_scale": 0.2503440897424549, "lr": 1.0013763589698198e-05, "weight_decay": 0.05 }, "layer_23_no_decay": { "param_names": [ "backbone.blocks.22.norm1.weight", "backbone.blocks.22.attn.proj.bias", "backbone.blocks.22.attn.q_norm.weight", "backbone.blocks.22.attn.k_norm.weight", "backbone.blocks.22.ls1.gamma", "backbone.blocks.22.norm2.weight", "backbone.blocks.22.mlp.fc1.bias", "backbone.blocks.22.mlp.fc2.bias", "backbone.blocks.22.ls2.gamma" ], "lr_scale": 0.26352009446574204, "lr": 1.0540803778629682e-05, "weight_decay": 0.0 }, "layer_23_decay": { "param_names": [ "backbone.blocks.22.attn.qkv.weight", "backbone.blocks.22.attn.proj.weight", "backbone.blocks.22.mlp.fc1.weight", "backbone.blocks.22.mlp.fc2.weight" ], "lr_scale": 0.26352009446574204, "lr": 1.0540803778629682e-05, "weight_decay": 0.05 }, "layer_24_no_decay": { "param_names": [ "backbone.blocks.23.norm1.weight", "backbone.blocks.23.attn.proj.bias", "backbone.blocks.23.attn.q_norm.weight", "backbone.blocks.23.attn.k_norm.weight", "backbone.blocks.23.ls1.gamma", "backbone.blocks.23.norm2.weight", "backbone.blocks.23.mlp.fc1.bias", "backbone.blocks.23.mlp.fc2.bias", "backbone.blocks.23.ls2.gamma" ], "lr_scale": 0.27738957312183377, "lr": 1.109558292487335e-05, "weight_decay": 0.0 }, "layer_24_decay": { "param_names": [ "backbone.blocks.23.attn.qkv.weight", "backbone.blocks.23.attn.proj.weight", "backbone.blocks.23.mlp.fc1.weight", "backbone.blocks.23.mlp.fc2.weight" ], "lr_scale": 0.27738957312183377, "lr": 1.109558292487335e-05, "weight_decay": 0.05 }, "layer_25_no_decay": { "param_names": [ "backbone.blocks.24.norm1.weight", "backbone.blocks.24.attn.proj.bias", "backbone.blocks.24.attn.q_norm.weight", "backbone.blocks.24.attn.k_norm.weight", "backbone.blocks.24.ls1.gamma", "backbone.blocks.24.norm2.weight", "backbone.blocks.24.mlp.fc1.bias", "backbone.blocks.24.mlp.fc2.bias", "backbone.blocks.24.ls2.gamma" ], "lr_scale": 0.2919890243387724, "lr": 1.1679560973550896e-05, "weight_decay": 0.0 }, "layer_25_decay": { "param_names": [ "backbone.blocks.24.attn.qkv.weight", "backbone.blocks.24.attn.proj.weight", "backbone.blocks.24.mlp.fc1.weight", "backbone.blocks.24.mlp.fc2.weight" ], "lr_scale": 0.2919890243387724, "lr": 1.1679560973550896e-05, "weight_decay": 0.05 }, "layer_26_no_decay": { "param_names": [ "backbone.blocks.25.norm1.weight", "backbone.blocks.25.attn.proj.bias", "backbone.blocks.25.attn.q_norm.weight", "backbone.blocks.25.attn.k_norm.weight", "backbone.blocks.25.ls1.gamma", "backbone.blocks.25.norm2.weight", "backbone.blocks.25.mlp.fc1.bias", "backbone.blocks.25.mlp.fc2.bias", "backbone.blocks.25.ls2.gamma" ], "lr_scale": 0.3073568677250236, "lr": 1.2294274709000943e-05, "weight_decay": 0.0 }, "layer_26_decay": { "param_names": [ "backbone.blocks.25.attn.qkv.weight", "backbone.blocks.25.attn.proj.weight", "backbone.blocks.25.mlp.fc1.weight", "backbone.blocks.25.mlp.fc2.weight" ], "lr_scale": 0.3073568677250236, "lr": 1.2294274709000943e-05, "weight_decay": 0.05 }, "layer_27_no_decay": { "param_names": [ "backbone.blocks.26.norm1.weight", "backbone.blocks.26.attn.proj.bias", "backbone.blocks.26.attn.q_norm.weight", "backbone.blocks.26.attn.k_norm.weight", "backbone.blocks.26.ls1.gamma", "backbone.blocks.26.norm2.weight", "backbone.blocks.26.mlp.fc1.bias", "backbone.blocks.26.mlp.fc2.bias", "backbone.blocks.26.ls2.gamma" ], "lr_scale": 0.323533544973709, "lr": 1.2941341798948362e-05, "weight_decay": 0.0 }, "layer_27_decay": { "param_names": [ "backbone.blocks.26.attn.qkv.weight", "backbone.blocks.26.attn.proj.weight", "backbone.blocks.26.mlp.fc1.weight", "backbone.blocks.26.mlp.fc2.weight" ], "lr_scale": 0.323533544973709, "lr": 1.2941341798948362e-05, "weight_decay": 0.05 }, "layer_28_no_decay": { "param_names": [ "backbone.blocks.27.norm1.weight", "backbone.blocks.27.attn.proj.bias", "backbone.blocks.27.attn.q_norm.weight", "backbone.blocks.27.attn.k_norm.weight", "backbone.blocks.27.ls1.gamma", "backbone.blocks.27.norm2.weight", "backbone.blocks.27.mlp.fc1.bias", "backbone.blocks.27.mlp.fc2.bias", "backbone.blocks.27.ls2.gamma" ], "lr_scale": 0.3405616262881148, "lr": 1.3622465051524594e-05, "weight_decay": 0.0 }, "layer_28_decay": { "param_names": [ "backbone.blocks.27.attn.qkv.weight", "backbone.blocks.27.attn.proj.weight", "backbone.blocks.27.mlp.fc1.weight", "backbone.blocks.27.mlp.fc2.weight" ], "lr_scale": 0.3405616262881148, "lr": 1.3622465051524594e-05, "weight_decay": 0.05 }, "layer_29_no_decay": { "param_names": [ "backbone.blocks.28.norm1.weight", "backbone.blocks.28.attn.proj.bias", "backbone.blocks.28.attn.q_norm.weight", "backbone.blocks.28.attn.k_norm.weight", "backbone.blocks.28.ls1.gamma", "backbone.blocks.28.norm2.weight", "backbone.blocks.28.mlp.fc1.bias", "backbone.blocks.28.mlp.fc2.bias", "backbone.blocks.28.ls2.gamma" ], "lr_scale": 0.3584859224085419, "lr": 1.4339436896341676e-05, "weight_decay": 0.0 }, "layer_29_decay": { "param_names": [ "backbone.blocks.28.attn.qkv.weight", "backbone.blocks.28.attn.proj.weight", "backbone.blocks.28.mlp.fc1.weight", "backbone.blocks.28.mlp.fc2.weight" ], "lr_scale": 0.3584859224085419, "lr": 1.4339436896341676e-05, "weight_decay": 0.05 }, "layer_30_no_decay": { "param_names": [ "backbone.blocks.29.norm1.weight", "backbone.blocks.29.attn.proj.bias", "backbone.blocks.29.attn.q_norm.weight", "backbone.blocks.29.attn.k_norm.weight", "backbone.blocks.29.ls1.gamma", "backbone.blocks.29.norm2.weight", "backbone.blocks.29.mlp.fc1.bias", "backbone.blocks.29.mlp.fc2.bias", "backbone.blocks.29.ls2.gamma" ], "lr_scale": 0.37735360253530725, "lr": 1.509414410141229e-05, "weight_decay": 0.0 }, "layer_30_decay": { "param_names": [ "backbone.blocks.29.attn.qkv.weight", "backbone.blocks.29.attn.proj.weight", "backbone.blocks.29.mlp.fc1.weight", "backbone.blocks.29.mlp.fc2.weight" ], "lr_scale": 0.37735360253530725, "lr": 1.509414410141229e-05, "weight_decay": 0.05 }, "layer_31_no_decay": { "param_names": [ "backbone.blocks.30.norm1.weight", "backbone.blocks.30.attn.proj.bias", "backbone.blocks.30.attn.q_norm.weight", "backbone.blocks.30.attn.k_norm.weight", "backbone.blocks.30.ls1.gamma", "backbone.blocks.30.norm2.weight", "backbone.blocks.30.mlp.fc1.bias", "backbone.blocks.30.mlp.fc2.bias", "backbone.blocks.30.ls2.gamma" ], "lr_scale": 0.3972143184582182, "lr": 1.588857273832873e-05, "weight_decay": 0.0 }, "layer_31_decay": { "param_names": [ "backbone.blocks.30.attn.qkv.weight", "backbone.blocks.30.attn.proj.weight", "backbone.blocks.30.mlp.fc1.weight", "backbone.blocks.30.mlp.fc2.weight" ], "lr_scale": 0.3972143184582182, "lr": 1.588857273832873e-05, "weight_decay": 0.05 }, "layer_32_no_decay": { "param_names": [ "backbone.blocks.31.norm1.weight", "backbone.blocks.31.attn.proj.bias", "backbone.blocks.31.attn.q_norm.weight", "backbone.blocks.31.attn.k_norm.weight", "backbone.blocks.31.ls1.gamma", "backbone.blocks.31.norm2.weight", "backbone.blocks.31.mlp.fc1.bias", "backbone.blocks.31.mlp.fc2.bias", "backbone.blocks.31.ls2.gamma" ], "lr_scale": 0.4181203352191771, "lr": 1.6724813408767084e-05, "weight_decay": 0.0 }, "layer_32_decay": { "param_names": [ "backbone.blocks.31.attn.qkv.weight", "backbone.blocks.31.attn.proj.weight", "backbone.blocks.31.mlp.fc1.weight", "backbone.blocks.31.mlp.fc2.weight" ], "lr_scale": 0.4181203352191771, "lr": 1.6724813408767084e-05, "weight_decay": 0.05 }, "layer_33_no_decay": { "param_names": [ "backbone.blocks.32.norm1.weight", "backbone.blocks.32.attn.proj.bias", "backbone.blocks.32.attn.q_norm.weight", "backbone.blocks.32.attn.k_norm.weight", "backbone.blocks.32.ls1.gamma", "backbone.blocks.32.norm2.weight", "backbone.blocks.32.mlp.fc1.bias", "backbone.blocks.32.mlp.fc2.bias", "backbone.blocks.32.ls2.gamma" ], "lr_scale": 0.44012666865176536, "lr": 1.7605066746070617e-05, "weight_decay": 0.0 }, "layer_33_decay": { "param_names": [ "backbone.blocks.32.attn.qkv.weight", "backbone.blocks.32.attn.proj.weight", "backbone.blocks.32.mlp.fc1.weight", "backbone.blocks.32.mlp.fc2.weight" ], "lr_scale": 0.44012666865176536, "lr": 1.7605066746070617e-05, "weight_decay": 0.05 }, "layer_34_no_decay": { "param_names": [ "backbone.blocks.33.norm1.weight", "backbone.blocks.33.attn.proj.bias", "backbone.blocks.33.attn.q_norm.weight", "backbone.blocks.33.attn.k_norm.weight", "backbone.blocks.33.ls1.gamma", "backbone.blocks.33.norm2.weight", "backbone.blocks.33.mlp.fc1.bias", "backbone.blocks.33.mlp.fc2.bias", "backbone.blocks.33.ls2.gamma" ], "lr_scale": 0.46329123015975304, "lr": 1.8531649206390123e-05, "weight_decay": 0.0 }, "layer_34_decay": { "param_names": [ "backbone.blocks.33.attn.qkv.weight", "backbone.blocks.33.attn.proj.weight", "backbone.blocks.33.mlp.fc1.weight", "backbone.blocks.33.mlp.fc2.weight" ], "lr_scale": 0.46329123015975304, "lr": 1.8531649206390123e-05, "weight_decay": 0.05 }, "layer_35_no_decay": { "param_names": [ "backbone.blocks.34.norm1.weight", "backbone.blocks.34.attn.proj.bias", "backbone.blocks.34.attn.q_norm.weight", "backbone.blocks.34.attn.k_norm.weight", "backbone.blocks.34.ls1.gamma", "backbone.blocks.34.norm2.weight", "backbone.blocks.34.mlp.fc1.bias", "backbone.blocks.34.mlp.fc2.bias", "backbone.blocks.34.ls2.gamma" ], "lr_scale": 0.48767497911552954, "lr": 1.9506999164621184e-05, "weight_decay": 0.0 }, "layer_35_decay": { "param_names": [ "backbone.blocks.34.attn.qkv.weight", "backbone.blocks.34.attn.proj.weight", "backbone.blocks.34.mlp.fc1.weight", "backbone.blocks.34.mlp.fc2.weight" ], "lr_scale": 0.48767497911552954, "lr": 1.9506999164621184e-05, "weight_decay": 0.05 }, "layer_36_no_decay": { "param_names": [ "backbone.blocks.35.norm1.weight", "backbone.blocks.35.attn.proj.bias", "backbone.blocks.35.attn.q_norm.weight", "backbone.blocks.35.attn.k_norm.weight", "backbone.blocks.35.ls1.gamma", "backbone.blocks.35.norm2.weight", "backbone.blocks.35.mlp.fc1.bias", "backbone.blocks.35.mlp.fc2.bias", "backbone.blocks.35.ls2.gamma" ], "lr_scale": 0.5133420832795048, "lr": 2.0533683331180195e-05, "weight_decay": 0.0 }, "layer_36_decay": { "param_names": [ "backbone.blocks.35.attn.qkv.weight", "backbone.blocks.35.attn.proj.weight", "backbone.blocks.35.mlp.fc1.weight", "backbone.blocks.35.mlp.fc2.weight" ], "lr_scale": 0.5133420832795048, "lr": 2.0533683331180195e-05, "weight_decay": 0.05 }, "layer_37_no_decay": { "param_names": [ "backbone.blocks.36.norm1.weight", "backbone.blocks.36.attn.proj.bias", "backbone.blocks.36.attn.q_norm.weight", "backbone.blocks.36.attn.k_norm.weight", "backbone.blocks.36.ls1.gamma", "backbone.blocks.36.norm2.weight", "backbone.blocks.36.mlp.fc1.bias", "backbone.blocks.36.mlp.fc2.bias", "backbone.blocks.36.ls2.gamma" ], "lr_scale": 0.5403600876626367, "lr": 2.1614403506505468e-05, "weight_decay": 0.0 }, "layer_37_decay": { "param_names": [ "backbone.blocks.36.attn.qkv.weight", "backbone.blocks.36.attn.proj.weight", "backbone.blocks.36.mlp.fc1.weight", "backbone.blocks.36.mlp.fc2.weight" ], "lr_scale": 0.5403600876626367, "lr": 2.1614403506505468e-05, "weight_decay": 0.05 }, "layer_38_no_decay": { "param_names": [ "backbone.blocks.37.norm1.weight", "backbone.blocks.37.attn.proj.bias", "backbone.blocks.37.attn.q_norm.weight", "backbone.blocks.37.attn.k_norm.weight", "backbone.blocks.37.ls1.gamma", "backbone.blocks.37.norm2.weight", "backbone.blocks.37.mlp.fc1.bias", "backbone.blocks.37.mlp.fc2.bias", "backbone.blocks.37.ls2.gamma" ], "lr_scale": 0.5688000922764597, "lr": 2.275200369105839e-05, "weight_decay": 0.0 }, "layer_38_decay": { "param_names": [ "backbone.blocks.37.attn.qkv.weight", "backbone.blocks.37.attn.proj.weight", "backbone.blocks.37.mlp.fc1.weight", "backbone.blocks.37.mlp.fc2.weight" ], "lr_scale": 0.5688000922764597, "lr": 2.275200369105839e-05, "weight_decay": 0.05 }, "layer_39_no_decay": { "param_names": [ "backbone.blocks.38.norm1.weight", "backbone.blocks.38.attn.proj.bias", "backbone.blocks.38.attn.q_norm.weight", "backbone.blocks.38.attn.k_norm.weight", "backbone.blocks.38.ls1.gamma", "backbone.blocks.38.norm2.weight", "backbone.blocks.38.mlp.fc1.bias", "backbone.blocks.38.mlp.fc2.bias", "backbone.blocks.38.ls2.gamma" ], "lr_scale": 0.5987369392383787, "lr": 2.394947756953515e-05, "weight_decay": 0.0 }, "layer_39_decay": { "param_names": [ "backbone.blocks.38.attn.qkv.weight", "backbone.blocks.38.attn.proj.weight", "backbone.blocks.38.mlp.fc1.weight", "backbone.blocks.38.mlp.fc2.weight" ], "lr_scale": 0.5987369392383787, "lr": 2.394947756953515e-05, "weight_decay": 0.05 }, "layer_40_no_decay": { "param_names": [ "backbone.blocks.39.norm1.weight", "backbone.blocks.39.attn.proj.bias", "backbone.blocks.39.attn.q_norm.weight", "backbone.blocks.39.attn.k_norm.weight", "backbone.blocks.39.ls1.gamma", "backbone.blocks.39.norm2.weight", "backbone.blocks.39.mlp.fc1.bias", "backbone.blocks.39.mlp.fc2.bias", "backbone.blocks.39.ls2.gamma" ], "lr_scale": 0.6302494097246091, "lr": 2.5209976388984365e-05, "weight_decay": 0.0 }, "layer_40_decay": { "param_names": [ "backbone.blocks.39.attn.qkv.weight", "backbone.blocks.39.attn.proj.weight", "backbone.blocks.39.mlp.fc1.weight", "backbone.blocks.39.mlp.fc2.weight" ], "lr_scale": 0.6302494097246091, "lr": 2.5209976388984365e-05, "weight_decay": 0.05 }, "layer_41_no_decay": { "param_names": [ "backbone.blocks.40.norm1.weight", "backbone.blocks.40.attn.proj.bias", "backbone.blocks.40.attn.q_norm.weight", "backbone.blocks.40.attn.k_norm.weight", "backbone.blocks.40.ls1.gamma", "backbone.blocks.40.norm2.weight", "backbone.blocks.40.mlp.fc1.bias", "backbone.blocks.40.mlp.fc2.bias", "backbone.blocks.40.ls2.gamma" ], "lr_scale": 0.6634204312890623, "lr": 2.6536817251562493e-05, "weight_decay": 0.0 }, "layer_41_decay": { "param_names": [ "backbone.blocks.40.attn.qkv.weight", "backbone.blocks.40.attn.proj.weight", "backbone.blocks.40.mlp.fc1.weight", "backbone.blocks.40.mlp.fc2.weight" ], "lr_scale": 0.6634204312890623, "lr": 2.6536817251562493e-05, "weight_decay": 0.05 }, "layer_42_no_decay": { "param_names": [ "backbone.blocks.41.norm1.weight", "backbone.blocks.41.attn.proj.bias", "backbone.blocks.41.attn.q_norm.weight", "backbone.blocks.41.attn.k_norm.weight", "backbone.blocks.41.ls1.gamma", "backbone.blocks.41.norm2.weight", "backbone.blocks.41.mlp.fc1.bias", "backbone.blocks.41.mlp.fc2.bias", "backbone.blocks.41.ls2.gamma" ], "lr_scale": 0.6983372960937497, "lr": 2.793349184374999e-05, "weight_decay": 0.0 }, "layer_42_decay": { "param_names": [ "backbone.blocks.41.attn.qkv.weight", "backbone.blocks.41.attn.proj.weight", "backbone.blocks.41.mlp.fc1.weight", "backbone.blocks.41.mlp.fc2.weight" ], "lr_scale": 0.6983372960937497, "lr": 2.793349184374999e-05, "weight_decay": 0.05 }, "layer_43_no_decay": { "param_names": [ "backbone.blocks.42.norm1.weight", "backbone.blocks.42.attn.proj.bias", "backbone.blocks.42.attn.q_norm.weight", "backbone.blocks.42.attn.k_norm.weight", "backbone.blocks.42.ls1.gamma", "backbone.blocks.42.norm2.weight", "backbone.blocks.42.mlp.fc1.bias", "backbone.blocks.42.mlp.fc2.bias", "backbone.blocks.42.ls2.gamma" ], "lr_scale": 0.7350918906249998, "lr": 2.9403675624999993e-05, "weight_decay": 0.0 }, "layer_43_decay": { "param_names": [ "backbone.blocks.42.attn.qkv.weight", "backbone.blocks.42.attn.proj.weight", "backbone.blocks.42.mlp.fc1.weight", "backbone.blocks.42.mlp.fc2.weight" ], "lr_scale": 0.7350918906249998, "lr": 2.9403675624999993e-05, "weight_decay": 0.05 }, "layer_44_no_decay": { "param_names": [ "backbone.blocks.43.norm1.weight", "backbone.blocks.43.attn.proj.bias", "backbone.blocks.43.attn.q_norm.weight", "backbone.blocks.43.attn.k_norm.weight", "backbone.blocks.43.ls1.gamma", "backbone.blocks.43.norm2.weight", "backbone.blocks.43.mlp.fc1.bias", "backbone.blocks.43.mlp.fc2.bias", "backbone.blocks.43.ls2.gamma" ], "lr_scale": 0.7737809374999998, "lr": 3.0951237499999995e-05, "weight_decay": 0.0 }, "layer_44_decay": { "param_names": [ "backbone.blocks.43.attn.qkv.weight", "backbone.blocks.43.attn.proj.weight", "backbone.blocks.43.mlp.fc1.weight", "backbone.blocks.43.mlp.fc2.weight" ], "lr_scale": 0.7737809374999998, "lr": 3.0951237499999995e-05, "weight_decay": 0.05 }, "layer_45_no_decay": { "param_names": [ "backbone.blocks.44.norm1.weight", "backbone.blocks.44.attn.proj.bias", "backbone.blocks.44.attn.q_norm.weight", "backbone.blocks.44.attn.k_norm.weight", "backbone.blocks.44.ls1.gamma", "backbone.blocks.44.norm2.weight", "backbone.blocks.44.mlp.fc1.bias", "backbone.blocks.44.mlp.fc2.bias", "backbone.blocks.44.ls2.gamma" ], "lr_scale": 0.8145062499999999, "lr": 3.258025e-05, "weight_decay": 0.0 }, "layer_45_decay": { "param_names": [ "backbone.blocks.44.attn.qkv.weight", "backbone.blocks.44.attn.proj.weight", "backbone.blocks.44.mlp.fc1.weight", "backbone.blocks.44.mlp.fc2.weight" ], "lr_scale": 0.8145062499999999, "lr": 3.258025e-05, "weight_decay": 0.05 }, "layer_46_no_decay": { "param_names": [ "backbone.blocks.45.norm1.weight", "backbone.blocks.45.attn.proj.bias", "backbone.blocks.45.attn.q_norm.weight", "backbone.blocks.45.attn.k_norm.weight", "backbone.blocks.45.ls1.gamma", "backbone.blocks.45.norm2.weight", "backbone.blocks.45.mlp.fc1.bias", "backbone.blocks.45.mlp.fc2.bias", "backbone.blocks.45.ls2.gamma" ], "lr_scale": 0.8573749999999999, "lr": 3.4294999999999996e-05, "weight_decay": 0.0 }, "layer_46_decay": { "param_names": [ "backbone.blocks.45.attn.qkv.weight", "backbone.blocks.45.attn.proj.weight", "backbone.blocks.45.mlp.fc1.weight", "backbone.blocks.45.mlp.fc2.weight" ], "lr_scale": 0.8573749999999999, "lr": 3.4294999999999996e-05, "weight_decay": 0.05 }, "layer_47_no_decay": { "param_names": [ "backbone.blocks.46.norm1.weight", "backbone.blocks.46.attn.proj.bias", "backbone.blocks.46.attn.q_norm.weight", "backbone.blocks.46.attn.k_norm.weight", "backbone.blocks.46.ls1.gamma", "backbone.blocks.46.norm2.weight", "backbone.blocks.46.mlp.fc1.bias", "backbone.blocks.46.mlp.fc2.bias", "backbone.blocks.46.ls2.gamma" ], "lr_scale": 0.9025, "lr": 3.61e-05, "weight_decay": 0.0 }, "layer_47_decay": { "param_names": [ "backbone.blocks.46.attn.qkv.weight", "backbone.blocks.46.attn.proj.weight", "backbone.blocks.46.mlp.fc1.weight", "backbone.blocks.46.mlp.fc2.weight" ], "lr_scale": 0.9025, "lr": 3.61e-05, "weight_decay": 0.05 }, "layer_48_no_decay": { "param_names": [ "backbone.blocks.47.norm1.weight", "backbone.blocks.47.attn.proj.bias", "backbone.blocks.47.attn.q_norm.weight", "backbone.blocks.47.attn.k_norm.weight", "backbone.blocks.47.ls1.gamma", "backbone.blocks.47.norm2.weight", "backbone.blocks.47.mlp.fc1.bias", "backbone.blocks.47.mlp.fc2.bias", "backbone.blocks.47.ls2.gamma" ], "lr_scale": 0.95, "lr": 3.8e-05, "weight_decay": 0.0 }, "layer_48_decay": { "param_names": [ "backbone.blocks.47.attn.qkv.weight", "backbone.blocks.47.attn.proj.weight", "backbone.blocks.47.mlp.fc1.weight", "backbone.blocks.47.mlp.fc2.weight" ], "lr_scale": 0.95, "lr": 3.8e-05, "weight_decay": 0.05 }, "layer_49_decay": { "param_names": [ "decode_head.conv_seg.weight" ], "lr_scale": 1.0, "lr": 4e-05, "weight_decay": 0.05 }, "layer_49_no_decay": { "param_names": [ "decode_head.conv_seg.bias", "decode_head.norm.weight", "decode_head.norm.bias" ], "lr_scale": 1.0, "lr": 4e-05, "weight_decay": 0.0 } } 2023-11-02 01:55:25,405 - mmseg - INFO - trainable parameters: 5906608150 2023-11-02 01:55:25,407 - mmseg - INFO - total parameters: 5906608150 2023-11-02 01:55:25,508 - mmseg - INFO - Loaded 2000 images 2023-11-02 01:55:25,509 - mmseg - INFO - Randomly select 2000 images 2023-11-02 01:55:25,509 - mmseg - INFO - Start running, host: wangwenhai@SH-IDC1-10-140-37-41, work_dir: /mnt/petrelfs/wangwenhai/workspace/ViTDetection/mmsegmentation/work_dirs/segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04 2023-11-02 01:55:25,509 - mmseg - INFO - Hooks will be executed in the following order: before_run: (VERY_HIGH ) PolyLrUpdaterHook (49 ) ToBFloat16Hook (49 ) ToBFloat16Hook (NORMAL ) DeepspeedCheckpointHook (LOW ) DeepspeedDistEvalHook (VERY_LOW ) TextLoggerHook (VERY_LOW ) TensorboardLoggerHook -------------------- before_train_epoch: (VERY_HIGH ) PolyLrUpdaterHook (LOW ) IterTimerHook (LOW ) DeepspeedDistEvalHook (VERY_LOW ) TextLoggerHook (VERY_LOW ) TensorboardLoggerHook -------------------- before_train_iter: (VERY_HIGH ) PolyLrUpdaterHook (LOW ) IterTimerHook (LOW ) DeepspeedDistEvalHook -------------------- after_train_iter: (ABOVE_NORMAL) OptimizerHook (NORMAL ) DeepspeedCheckpointHook (LOW ) IterTimerHook (LOW ) DeepspeedDistEvalHook (VERY_LOW ) TextLoggerHook (VERY_LOW ) TensorboardLoggerHook -------------------- after_train_epoch: (NORMAL ) DeepspeedCheckpointHook (LOW ) DeepspeedDistEvalHook (VERY_LOW ) TextLoggerHook (VERY_LOW ) TensorboardLoggerHook -------------------- before_val_epoch: (LOW ) IterTimerHook (VERY_LOW ) TextLoggerHook (VERY_LOW ) TensorboardLoggerHook -------------------- before_val_iter: (LOW ) IterTimerHook -------------------- after_val_iter: (LOW ) IterTimerHook -------------------- after_val_epoch: (VERY_LOW ) TextLoggerHook (VERY_LOW ) TensorboardLoggerHook -------------------- after_run: (VERY_LOW ) TextLoggerHook (VERY_LOW ) TensorboardLoggerHook -------------------- 2023-11-02 01:55:25,509 - mmseg - INFO - workflow: [('train', 1)], max: 80000 iters 2023-11-02 01:55:25,517 - mmseg - INFO - Checkpoints will be saved to /mnt/petrelfs/wangwenhai/workspace/ViTDetection/mmsegmentation/work_dirs/segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04 by HardDiskBackend. 2023-11-02 01:57:29,044 - mmseg - INFO - Iter [50/80000] lr: 1.058e-07, eta: 1 day, 4:31:48, time: 1.285, data_time: 0.008, memory: 38534, decode.loss_ce: 4.1616, decode.acc_seg: 0.5150, loss: 4.1616 2023-11-02 01:58:30,102 - mmseg - INFO - Iter [100/80000] lr: 2.136e-07, eta: 1 day, 3:48:26, time: 1.221, data_time: 0.013, memory: 38534, decode.loss_ce: 4.1458, decode.acc_seg: 0.8399, loss: 4.1458 2023-11-02 01:59:30,894 - mmseg - INFO - Iter [150/80000] lr: 3.212e-07, eta: 1 day, 3:30:57, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 3.9905, decode.acc_seg: 3.9448, loss: 3.9905 2023-11-02 02:00:31,682 - mmseg - INFO - Iter [200/80000] lr: 4.287e-07, eta: 1 day, 3:21:40, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 3.5548, decode.acc_seg: 23.0214, loss: 3.5548 2023-11-02 02:01:32,363 - mmseg - INFO - Iter [250/80000] lr: 5.361e-07, eta: 1 day, 3:15:08, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 2.6506, decode.acc_seg: 43.5156, loss: 2.6506 2023-11-02 02:02:33,109 - mmseg - INFO - Iter [300/80000] lr: 6.434e-07, eta: 1 day, 3:10:43, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 1.9243, decode.acc_seg: 55.0833, loss: 1.9243 2023-11-02 02:03:33,838 - mmseg - INFO - Iter [350/80000] lr: 7.505e-07, eta: 1 day, 3:07:13, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 1.6803, decode.acc_seg: 59.7697, loss: 1.6803 2023-11-02 02:04:34,565 - mmseg - INFO - Iter [400/80000] lr: 8.575e-07, eta: 1 day, 3:04:20, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 1.4968, decode.acc_seg: 61.7154, loss: 1.4968 2023-11-02 02:05:35,358 - mmseg - INFO - Iter [450/80000] lr: 9.643e-07, eta: 1 day, 3:02:03, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 1.3432, decode.acc_seg: 65.5411, loss: 1.3432 2023-11-02 02:06:36,123 - mmseg - INFO - Iter [500/80000] lr: 1.071e-06, eta: 1 day, 2:59:57, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 1.1846, decode.acc_seg: 68.1752, loss: 1.1846 2023-11-02 02:07:36,886 - mmseg - INFO - Iter [550/80000] lr: 1.178e-06, eta: 1 day, 2:58:03, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 1.1457, decode.acc_seg: 67.8736, loss: 1.1457 2023-11-02 02:08:37,667 - mmseg - INFO - Iter [600/80000] lr: 1.284e-06, eta: 1 day, 2:56:20, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 1.0514, decode.acc_seg: 69.8344, loss: 1.0514 2023-11-02 02:09:38,412 - mmseg - INFO - Iter [650/80000] lr: 1.390e-06, eta: 1 day, 2:54:39, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 1.0079, decode.acc_seg: 70.1893, loss: 1.0079 2023-11-02 02:10:39,184 - mmseg - INFO - Iter [700/80000] lr: 1.497e-06, eta: 1 day, 2:53:07, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.9627, decode.acc_seg: 71.7264, loss: 0.9627 2023-11-02 02:11:39,933 - mmseg - INFO - Iter [750/80000] lr: 1.603e-06, eta: 1 day, 2:51:37, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.9917, decode.acc_seg: 70.7589, loss: 0.9917 2023-11-02 02:12:40,711 - mmseg - INFO - Iter [800/80000] lr: 1.708e-06, eta: 1 day, 2:50:13, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.9288, decode.acc_seg: 71.5073, loss: 0.9288 2023-11-02 02:13:41,499 - mmseg - INFO - Iter [850/80000] lr: 1.814e-06, eta: 1 day, 2:48:53, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.8634, decode.acc_seg: 72.4821, loss: 0.8634 2023-11-02 02:14:42,267 - mmseg - INFO - Iter [900/80000] lr: 1.920e-06, eta: 1 day, 2:47:33, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.8623, decode.acc_seg: 73.2196, loss: 0.8623 2023-11-02 02:15:43,039 - mmseg - INFO - Iter [950/80000] lr: 2.025e-06, eta: 1 day, 2:46:16, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.8624, decode.acc_seg: 72.9766, loss: 0.8624 2023-11-02 02:16:43,814 - mmseg - INFO - Saving checkpoint at 1000 iterations 2023-11-02 02:17:41,178 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 02:17:41,178 - mmseg - INFO - Iter [1000/80000] lr: 2.131e-06, eta: 1 day, 4:00:32, time: 2.363, data_time: 0.007, memory: 38534, decode.loss_ce: 0.8238, decode.acc_seg: 72.9802, loss: 0.8238 2023-11-02 02:19:32,986 - mmseg - INFO - per class results: 2023-11-02 02:19:32,992 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 72.76 | 83.57 | | building | 78.27 | 94.31 | | sky | 91.77 | 95.25 | | floor | 78.44 | 87.07 | | tree | 70.51 | 81.66 | | ceiling | 81.11 | 89.5 | | road | 79.95 | 83.95 | | bed | 85.52 | 95.62 | | windowpane | 60.45 | 79.93 | | grass | 63.01 | 84.99 | | cabinet | 59.2 | 70.62 | | sidewalk | 58.31 | 86.56 | | person | 75.15 | 91.95 | | earth | 36.28 | 45.66 | | door | 46.43 | 68.99 | | table | 54.14 | 74.85 | | mountain | 55.54 | 68.27 | | plant | 51.73 | 69.23 | | curtain | 69.75 | 87.71 | | chair | 51.28 | 70.93 | | car | 75.42 | 94.18 | | water | 43.49 | 59.7 | | painting | 62.12 | 86.17 | | sofa | 62.71 | 73.23 | | shelf | 36.87 | 60.14 | | house | 21.82 | 24.2 | | sea | 60.62 | 74.75 | | mirror | 59.98 | 76.99 | | rug | 60.43 | 70.4 | | field | 28.88 | 47.84 | | armchair | 41.01 | 74.53 | | seat | 57.26 | 85.89 | | fence | 34.84 | 42.96 | | desk | 34.88 | 65.67 | | rock | 52.64 | 77.22 | | wardrobe | 46.49 | 61.96 | | lamp | 50.66 | 72.04 | | bathtub | 74.83 | 84.3 | | railing | 33.08 | 47.78 | | cushion | 53.84 | 65.15 | | base | 18.49 | 37.05 | | box | 15.23 | 19.62 | | column | 33.37 | 34.94 | | signboard | 31.43 | 47.03 | | chest of drawers | 41.25 | 52.61 | | counter | 37.73 | 49.21 | | sand | 53.65 | 57.11 | | sink | 64.06 | 70.13 | | skyscraper | 47.45 | 81.72 | | fireplace | 68.47 | 91.5 | | refrigerator | 70.21 | 81.39 | | grandstand | 30.55 | 81.0 | | path | 7.67 | 8.23 | | stairs | 29.6 | 35.2 | | runway | 69.64 | 92.36 | | case | 59.78 | 65.05 | | pool table | 87.27 | 96.25 | | pillow | 49.13 | 55.46 | | screen door | 58.49 | 67.28 | | stairway | 43.21 | 60.27 | | river | 13.0 | 39.7 | | bridge | 61.57 | 81.2 | | bookcase | 26.32 | 33.51 | | blind | 36.42 | 39.58 | | coffee table | 54.64 | 85.46 | | toilet | 78.08 | 91.13 | | flower | 26.36 | 35.67 | | book | 44.98 | 68.06 | | hill | 6.09 | 7.86 | | bench | 33.91 | 43.57 | | countertop | 53.58 | 67.43 | | stove | 63.37 | 85.53 | | palm | 49.02 | 73.67 | | kitchen island | 37.38 | 73.99 | | computer | 66.12 | 80.3 | | swivel chair | 30.09 | 37.43 | | boat | 65.84 | 88.09 | | bar | 48.83 | 51.81 | | arcade machine | 76.55 | 83.5 | | hovel | 9.13 | 9.91 | | bus | 83.27 | 87.07 | | towel | 53.39 | 63.23 | | light | 25.08 | 26.51 | | truck | 27.58 | 46.82 | | tower | 2.37 | 2.78 | | chandelier | 51.29 | 77.89 | | awning | 18.64 | 20.16 | | streetlight | 4.6 | 5.46 | | booth | 20.78 | 28.41 | | television receiver | 65.8 | 77.13 | | airplane | 51.18 | 66.22 | | dirt track | 18.96 | 19.89 | | apparel | 30.2 | 40.35 | | pole | 0.0 | 0.0 | | land | 0.0 | 0.0 | | bannister | 0.0 | 0.0 | | escalator | 29.67 | 32.22 | | ottoman | 16.91 | 18.6 | | bottle | 12.45 | 14.99 | | buffet | 35.51 | 42.76 | | poster | 0.0 | 0.0 | | stage | 0.51 | 0.56 | | van | 5.11 | 5.25 | | ship | 0.0 | 0.0 | | fountain | 0.54 | 0.54 | | conveyer belt | 84.98 | 88.66 | | canopy | 6.33 | 6.39 | | washer | 77.31 | 82.32 | | plaything | 2.52 | 2.65 | | swimming pool | 45.08 | 81.43 | | stool | 18.9 | 21.49 | | barrel | 2.59 | 35.32 | | basket | 0.2 | 0.2 | | waterfall | 42.43 | 98.19 | | tent | 92.23 | 96.65 | | bag | 0.0 | 0.0 | | minibike | 17.79 | 17.96 | | cradle | 69.43 | 98.39 | | oven | 3.41 | 3.44 | | ball | 36.83 | 71.44 | | food | 57.53 | 67.63 | | step | 0.0 | 0.0 | | tank | 0.0 | 0.0 | | trade name | 2.37 | 2.45 | | microwave | 75.65 | 84.05 | | pot | 15.93 | 15.99 | | animal | 31.32 | 32.16 | | bicycle | 52.8 | 65.15 | | lake | 0.0 | 0.0 | | dishwasher | 34.86 | 55.92 | | screen | 58.57 | 84.47 | | blanket | 0.0 | 0.0 | | sculpture | 9.66 | 9.78 | | hood | 51.5 | 58.99 | | sconce | 0.0 | 0.0 | | vase | 24.93 | 32.35 | | traffic light | 5.31 | 5.39 | | tray | 0.02 | 0.02 | | ashcan | 7.46 | 7.51 | | fan | 18.92 | 20.06 | | pier | 10.76 | 10.84 | | crt screen | 0.18 | 0.19 | | plate | 30.74 | 32.2 | | monitor | 0.0 | 0.0 | | bulletin board | 0.08 | 0.08 | | shower | 0.0 | 0.0 | | radiator | 13.76 | 13.85 | | glass | 0.03 | 0.03 | | clock | 0.01 | 0.01 | | flag | 13.51 | 13.59 | +---------------------+-------+-------+ 2023-11-02 02:19:32,992 - mmseg - INFO - Summary: 2023-11-02 02:19:32,992 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 79.98 | 37.86 | 48.74 | +-------+-------+-------+ 2023-11-02 02:19:32,993 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 02:19:32,993 - mmseg - INFO - Iter(val) [250] aAcc: 0.7998, mIoU: 0.3786, mAcc: 0.4874, IoU.wall: 0.7276, IoU.building: 0.7827, IoU.sky: 0.9177, IoU.floor: 0.7844, IoU.tree: 0.7051, IoU.ceiling: 0.8111, IoU.road: 0.7995, IoU.bed : 0.8552, IoU.windowpane: 0.6045, IoU.grass: 0.6301, IoU.cabinet: 0.5920, IoU.sidewalk: 0.5831, IoU.person: 0.7515, IoU.earth: 0.3628, IoU.door: 0.4643, IoU.table: 0.5414, IoU.mountain: 0.5554, IoU.plant: 0.5173, IoU.curtain: 0.6975, IoU.chair: 0.5128, IoU.car: 0.7542, IoU.water: 0.4349, IoU.painting: 0.6212, IoU.sofa: 0.6271, IoU.shelf: 0.3687, IoU.house: 0.2182, IoU.sea: 0.6062, IoU.mirror: 0.5998, IoU.rug: 0.6043, IoU.field: 0.2888, IoU.armchair: 0.4101, IoU.seat: 0.5726, IoU.fence: 0.3484, IoU.desk: 0.3488, IoU.rock: 0.5264, IoU.wardrobe: 0.4649, IoU.lamp: 0.5066, IoU.bathtub: 0.7483, IoU.railing: 0.3308, IoU.cushion: 0.5384, IoU.base: 0.1849, IoU.box: 0.1523, IoU.column: 0.3337, IoU.signboard: 0.3143, IoU.chest of drawers: 0.4125, IoU.counter: 0.3773, IoU.sand: 0.5365, IoU.sink: 0.6406, IoU.skyscraper: 0.4745, IoU.fireplace: 0.6847, IoU.refrigerator: 0.7021, IoU.grandstand: 0.3055, IoU.path: 0.0767, IoU.stairs: 0.2960, IoU.runway: 0.6964, IoU.case: 0.5978, IoU.pool table: 0.8727, IoU.pillow: 0.4913, IoU.screen door: 0.5849, IoU.stairway: 0.4321, IoU.river: 0.1300, IoU.bridge: 0.6157, IoU.bookcase: 0.2632, IoU.blind: 0.3642, IoU.coffee table: 0.5464, IoU.toilet: 0.7808, IoU.flower: 0.2636, IoU.book: 0.4498, IoU.hill: 0.0609, IoU.bench: 0.3391, IoU.countertop: 0.5358, IoU.stove: 0.6337, IoU.palm: 0.4902, IoU.kitchen island: 0.3738, IoU.computer: 0.6612, IoU.swivel chair: 0.3009, IoU.boat: 0.6584, IoU.bar: 0.4883, IoU.arcade machine: 0.7655, IoU.hovel: 0.0913, IoU.bus: 0.8327, IoU.towel: 0.5339, IoU.light: 0.2508, IoU.truck: 0.2758, IoU.tower: 0.0237, IoU.chandelier: 0.5129, IoU.awning: 0.1864, IoU.streetlight: 0.0460, IoU.booth: 0.2078, IoU.television receiver: 0.6580, IoU.airplane: 0.5118, IoU.dirt track: 0.1896, IoU.apparel: 0.3020, IoU.pole: 0.0000, IoU.land: 0.0000, IoU.bannister: 0.0000, IoU.escalator: 0.2967, IoU.ottoman: 0.1691, IoU.bottle: 0.1245, IoU.buffet: 0.3551, IoU.poster: 0.0000, IoU.stage: 0.0051, IoU.van: 0.0511, IoU.ship: 0.0000, IoU.fountain: 0.0054, IoU.conveyer belt: 0.8498, IoU.canopy: 0.0633, IoU.washer: 0.7731, IoU.plaything: 0.0252, IoU.swimming pool: 0.4508, IoU.stool: 0.1890, IoU.barrel: 0.0259, IoU.basket: 0.0020, IoU.waterfall: 0.4243, IoU.tent: 0.9223, IoU.bag: 0.0000, IoU.minibike: 0.1779, IoU.cradle: 0.6943, IoU.oven: 0.0341, IoU.ball: 0.3683, IoU.food: 0.5753, IoU.step: 0.0000, IoU.tank: 0.0000, IoU.trade name: 0.0237, IoU.microwave: 0.7565, IoU.pot: 0.1593, IoU.animal: 0.3132, IoU.bicycle: 0.5280, IoU.lake: 0.0000, IoU.dishwasher: 0.3486, IoU.screen: 0.5857, IoU.blanket: 0.0000, IoU.sculpture: 0.0966, IoU.hood: 0.5150, IoU.sconce: 0.0000, IoU.vase: 0.2493, IoU.traffic light: 0.0531, IoU.tray: 0.0002, IoU.ashcan: 0.0746, IoU.fan: 0.1892, IoU.pier: 0.1076, IoU.crt screen: 0.0018, IoU.plate: 0.3074, IoU.monitor: 0.0000, IoU.bulletin board: 0.0008, IoU.shower: 0.0000, IoU.radiator: 0.1376, IoU.glass: 0.0003, IoU.clock: 0.0001, IoU.flag: 0.1351, Acc.wall: 0.8357, Acc.building: 0.9431, Acc.sky: 0.9525, Acc.floor: 0.8707, Acc.tree: 0.8166, Acc.ceiling: 0.8950, Acc.road: 0.8395, Acc.bed : 0.9562, Acc.windowpane: 0.7993, Acc.grass: 0.8499, Acc.cabinet: 0.7062, Acc.sidewalk: 0.8656, Acc.person: 0.9195, Acc.earth: 0.4566, Acc.door: 0.6899, Acc.table: 0.7485, Acc.mountain: 0.6827, Acc.plant: 0.6923, Acc.curtain: 0.8771, Acc.chair: 0.7093, Acc.car: 0.9418, Acc.water: 0.5970, Acc.painting: 0.8617, Acc.sofa: 0.7323, Acc.shelf: 0.6014, Acc.house: 0.2420, Acc.sea: 0.7475, Acc.mirror: 0.7699, Acc.rug: 0.7040, Acc.field: 0.4784, Acc.armchair: 0.7453, Acc.seat: 0.8589, Acc.fence: 0.4296, Acc.desk: 0.6567, Acc.rock: 0.7722, Acc.wardrobe: 0.6196, Acc.lamp: 0.7204, Acc.bathtub: 0.8430, Acc.railing: 0.4778, Acc.cushion: 0.6515, Acc.base: 0.3705, Acc.box: 0.1962, Acc.column: 0.3494, Acc.signboard: 0.4703, Acc.chest of drawers: 0.5261, Acc.counter: 0.4921, Acc.sand: 0.5711, Acc.sink: 0.7013, Acc.skyscraper: 0.8172, Acc.fireplace: 0.9150, Acc.refrigerator: 0.8139, Acc.grandstand: 0.8100, Acc.path: 0.0823, Acc.stairs: 0.3520, Acc.runway: 0.9236, Acc.case: 0.6505, Acc.pool table: 0.9625, Acc.pillow: 0.5546, Acc.screen door: 0.6728, Acc.stairway: 0.6027, Acc.river: 0.3970, Acc.bridge: 0.8120, Acc.bookcase: 0.3351, Acc.blind: 0.3958, Acc.coffee table: 0.8546, Acc.toilet: 0.9113, Acc.flower: 0.3567, Acc.book: 0.6806, Acc.hill: 0.0786, Acc.bench: 0.4357, Acc.countertop: 0.6743, Acc.stove: 0.8553, Acc.palm: 0.7367, Acc.kitchen island: 0.7399, Acc.computer: 0.8030, Acc.swivel chair: 0.3743, Acc.boat: 0.8809, Acc.bar: 0.5181, Acc.arcade machine: 0.8350, Acc.hovel: 0.0991, Acc.bus: 0.8707, Acc.towel: 0.6323, Acc.light: 0.2651, Acc.truck: 0.4682, Acc.tower: 0.0278, Acc.chandelier: 0.7789, Acc.awning: 0.2016, Acc.streetlight: 0.0546, Acc.booth: 0.2841, Acc.television receiver: 0.7713, Acc.airplane: 0.6622, Acc.dirt track: 0.1989, Acc.apparel: 0.4035, Acc.pole: 0.0000, Acc.land: 0.0000, Acc.bannister: 0.0000, Acc.escalator: 0.3222, Acc.ottoman: 0.1860, Acc.bottle: 0.1499, Acc.buffet: 0.4276, Acc.poster: 0.0000, Acc.stage: 0.0056, Acc.van: 0.0525, Acc.ship: 0.0000, Acc.fountain: 0.0054, Acc.conveyer belt: 0.8866, Acc.canopy: 0.0639, Acc.washer: 0.8232, Acc.plaything: 0.0265, Acc.swimming pool: 0.8143, Acc.stool: 0.2149, Acc.barrel: 0.3532, Acc.basket: 0.0020, Acc.waterfall: 0.9819, Acc.tent: 0.9665, Acc.bag: 0.0000, Acc.minibike: 0.1796, Acc.cradle: 0.9839, Acc.oven: 0.0344, Acc.ball: 0.7144, Acc.food: 0.6763, Acc.step: 0.0000, Acc.tank: 0.0000, Acc.trade name: 0.0245, Acc.microwave: 0.8405, Acc.pot: 0.1599, Acc.animal: 0.3216, Acc.bicycle: 0.6515, Acc.lake: 0.0000, Acc.dishwasher: 0.5592, Acc.screen: 0.8447, Acc.blanket: 0.0000, Acc.sculpture: 0.0978, Acc.hood: 0.5899, Acc.sconce: 0.0000, Acc.vase: 0.3235, Acc.traffic light: 0.0539, Acc.tray: 0.0002, Acc.ashcan: 0.0751, Acc.fan: 0.2006, Acc.pier: 0.1084, Acc.crt screen: 0.0019, Acc.plate: 0.3220, Acc.monitor: 0.0000, Acc.bulletin board: 0.0008, Acc.shower: 0.0000, Acc.radiator: 0.1385, Acc.glass: 0.0003, Acc.clock: 0.0001, Acc.flag: 0.1359 2023-11-02 02:20:33,881 - mmseg - INFO - Iter [1050/80000] lr: 2.236e-06, eta: 1 day, 6:15:55, time: 3.454, data_time: 2.244, memory: 38534, decode.loss_ce: 0.7560, decode.acc_seg: 74.5090, loss: 0.7560 2023-11-02 02:21:34,692 - mmseg - INFO - Iter [1100/80000] lr: 2.341e-06, eta: 1 day, 6:04:58, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.7572, decode.acc_seg: 75.1205, loss: 0.7572 2023-11-02 02:22:37,684 - mmseg - INFO - Iter [1150/80000] lr: 2.446e-06, eta: 1 day, 5:57:23, time: 1.260, data_time: 0.051, memory: 38534, decode.loss_ce: 0.7258, decode.acc_seg: 75.6041, loss: 0.7258 2023-11-02 02:23:38,489 - mmseg - INFO - Iter [1200/80000] lr: 2.551e-06, eta: 1 day, 5:47:57, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.7572, decode.acc_seg: 75.1148, loss: 0.7572 2023-11-02 02:24:39,303 - mmseg - INFO - Iter [1250/80000] lr: 2.656e-06, eta: 1 day, 5:39:12, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.7043, decode.acc_seg: 75.7195, loss: 0.7043 2023-11-02 02:25:42,395 - mmseg - INFO - Iter [1300/80000] lr: 2.760e-06, eta: 1 day, 5:33:20, time: 1.262, data_time: 0.051, memory: 38534, decode.loss_ce: 0.7366, decode.acc_seg: 74.9201, loss: 0.7366 2023-11-02 02:26:43,244 - mmseg - INFO - Iter [1350/80000] lr: 2.865e-06, eta: 1 day, 5:25:39, time: 1.217, data_time: 0.008, memory: 38534, decode.loss_ce: 0.7367, decode.acc_seg: 75.2863, loss: 0.7367 2023-11-02 02:27:44,090 - mmseg - INFO - Iter [1400/80000] lr: 2.969e-06, eta: 1 day, 5:18:27, time: 1.217, data_time: 0.007, memory: 38534, decode.loss_ce: 0.6938, decode.acc_seg: 76.3802, loss: 0.6938 2023-11-02 02:28:44,949 - mmseg - INFO - Iter [1450/80000] lr: 3.073e-06, eta: 1 day, 5:11:41, time: 1.217, data_time: 0.008, memory: 38534, decode.loss_ce: 0.6852, decode.acc_seg: 77.2657, loss: 0.6852 2023-11-02 02:29:45,782 - mmseg - INFO - Iter [1500/80000] lr: 3.177e-06, eta: 1 day, 5:05:16, time: 1.217, data_time: 0.008, memory: 38534, decode.loss_ce: 0.6819, decode.acc_seg: 76.1833, loss: 0.6819 2023-11-02 02:30:46,616 - mmseg - INFO - Iter [1550/80000] lr: 3.177e-06, eta: 1 day, 4:59:13, time: 1.217, data_time: 0.008, memory: 38534, decode.loss_ce: 0.6603, decode.acc_seg: 77.3411, loss: 0.6603 2023-11-02 02:31:47,433 - mmseg - INFO - Iter [1600/80000] lr: 3.175e-06, eta: 1 day, 4:53:27, time: 1.216, data_time: 0.008, memory: 38534, decode.loss_ce: 0.7150, decode.acc_seg: 75.9162, loss: 0.7150 2023-11-02 02:32:48,309 - mmseg - INFO - Iter [1650/80000] lr: 3.173e-06, eta: 1 day, 4:48:02, time: 1.218, data_time: 0.008, memory: 38534, decode.loss_ce: 0.6924, decode.acc_seg: 75.8717, loss: 0.6924 2023-11-02 02:33:49,143 - mmseg - INFO - Iter [1700/80000] lr: 3.171e-06, eta: 1 day, 4:42:50, time: 1.217, data_time: 0.007, memory: 38534, decode.loss_ce: 0.6359, decode.acc_seg: 77.7500, loss: 0.6359 2023-11-02 02:34:49,939 - mmseg - INFO - Iter [1750/80000] lr: 3.169e-06, eta: 1 day, 4:37:51, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.6943, decode.acc_seg: 76.1650, loss: 0.6943 2023-11-02 02:35:50,738 - mmseg - INFO - Iter [1800/80000] lr: 3.167e-06, eta: 1 day, 4:33:05, time: 1.216, data_time: 0.008, memory: 38534, decode.loss_ce: 0.6706, decode.acc_seg: 76.3534, loss: 0.6706 2023-11-02 02:36:51,525 - mmseg - INFO - Iter [1850/80000] lr: 3.165e-06, eta: 1 day, 4:28:31, time: 1.216, data_time: 0.008, memory: 38534, decode.loss_ce: 0.6779, decode.acc_seg: 77.2478, loss: 0.6779 2023-11-02 02:37:52,309 - mmseg - INFO - Iter [1900/80000] lr: 3.163e-06, eta: 1 day, 4:24:08, time: 1.216, data_time: 0.008, memory: 38534, decode.loss_ce: 0.6871, decode.acc_seg: 77.0003, loss: 0.6871 2023-11-02 02:38:53,107 - mmseg - INFO - Iter [1950/80000] lr: 3.161e-06, eta: 1 day, 4:19:56, time: 1.216, data_time: 0.008, memory: 38534, decode.loss_ce: 0.6399, decode.acc_seg: 77.4988, loss: 0.6399 2023-11-02 02:39:53,911 - mmseg - INFO - Saving checkpoint at 2000 iterations 2023-11-02 02:40:48,464 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 02:40:48,464 - mmseg - INFO - Iter [2000/80000] lr: 3.159e-06, eta: 1 day, 4:51:21, time: 2.307, data_time: 0.008, memory: 38534, decode.loss_ce: 0.6174, decode.acc_seg: 78.7602, loss: 0.6174 2023-11-02 02:41:46,917 - mmseg - INFO - per class results: 2023-11-02 02:41:46,923 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 76.43 | 88.13 | | building | 82.21 | 93.98 | | sky | 92.76 | 96.77 | | floor | 80.6 | 89.49 | | tree | 72.48 | 82.99 | | ceiling | 81.35 | 88.87 | | road | 82.62 | 89.09 | | bed | 89.12 | 94.87 | | windowpane | 59.59 | 69.88 | | grass | 67.01 | 87.33 | | cabinet | 60.34 | 68.31 | | sidewalk | 62.42 | 84.89 | | person | 79.02 | 89.08 | | earth | 30.46 | 36.39 | | door | 51.94 | 66.25 | | table | 58.15 | 75.51 | | mountain | 57.9 | 72.27 | | plant | 53.24 | 64.59 | | curtain | 72.42 | 88.23 | | chair | 53.83 | 66.1 | | car | 82.11 | 91.56 | | water | 36.43 | 43.12 | | painting | 67.26 | 85.83 | | sofa | 70.1 | 86.1 | | shelf | 39.41 | 55.37 | | house | 46.87 | 57.08 | | sea | 61.08 | 88.86 | | mirror | 68.72 | 77.71 | | rug | 60.9 | 64.07 | | field | 31.6 | 52.37 | | armchair | 46.53 | 68.92 | | seat | 57.45 | 93.49 | | fence | 44.48 | 69.14 | | desk | 38.65 | 45.97 | | rock | 50.65 | 58.69 | | wardrobe | 54.07 | 63.52 | | lamp | 57.46 | 69.97 | | bathtub | 82.69 | 92.04 | | railing | 38.64 | 52.21 | | cushion | 57.32 | 67.09 | | base | 39.71 | 62.2 | | box | 24.25 | 31.27 | | column | 47.57 | 56.82 | | signboard | 35.06 | 51.52 | | chest of drawers | 41.54 | 65.04 | | counter | 42.43 | 66.36 | | sand | 50.82 | 70.84 | | sink | 68.35 | 77.54 | | skyscraper | 54.59 | 81.07 | | fireplace | 67.13 | 92.22 | | refrigerator | 68.38 | 86.83 | | grandstand | 35.71 | 86.6 | | path | 15.14 | 19.41 | | stairs | 27.64 | 31.97 | | runway | 70.82 | 94.44 | | case | 47.02 | 59.43 | | pool table | 71.77 | 98.72 | | pillow | 63.25 | 79.03 | | screen door | 63.96 | 82.34 | | stairway | 45.36 | 53.76 | | river | 18.59 | 38.45 | | bridge | 57.87 | 92.55 | | bookcase | 34.25 | 57.26 | | blind | 37.76 | 40.43 | | coffee table | 58.19 | 86.34 | | toilet | 83.42 | 91.85 | | flower | 36.15 | 50.07 | | book | 46.07 | 64.63 | | hill | 9.15 | 29.88 | | bench | 44.88 | 55.9 | | countertop | 55.45 | 68.18 | | stove | 71.4 | 86.36 | | palm | 50.76 | 68.69 | | kitchen island | 30.59 | 89.87 | | computer | 72.16 | 88.1 | | swivel chair | 43.7 | 63.42 | | boat | 52.41 | 92.79 | | bar | 54.82 | 65.22 | | arcade machine | 83.25 | 95.22 | | hovel | 19.67 | 23.2 | | bus | 88.14 | 94.51 | | towel | 67.84 | 78.41 | | light | 41.35 | 49.83 | | truck | 32.41 | 45.28 | | tower | 6.72 | 9.04 | | chandelier | 58.93 | 84.7 | | awning | 29.53 | 36.05 | | streetlight | 19.1 | 29.07 | | booth | 36.18 | 40.67 | | television receiver | 69.02 | 85.6 | | airplane | 56.39 | 66.72 | | dirt track | 0.0 | 0.0 | | apparel | 36.73 | 82.83 | | pole | 12.22 | 16.09 | | land | 14.08 | 19.89 | | bannister | 1.45 | 1.68 | | escalator | 51.41 | 62.03 | | ottoman | 46.86 | 71.61 | | bottle | 25.98 | 34.62 | | buffet | 39.03 | 46.19 | | poster | 10.4 | 12.07 | | stage | 13.29 | 31.59 | | van | 34.34 | 44.58 | | ship | 9.69 | 9.97 | | fountain | 31.9 | 33.99 | | conveyer belt | 79.26 | 96.46 | | canopy | 43.95 | 53.51 | | washer | 79.03 | 81.6 | | plaything | 22.94 | 31.44 | | swimming pool | 36.89 | 87.98 | | stool | 28.44 | 62.58 | | barrel | 23.26 | 29.55 | | basket | 35.18 | 49.94 | | waterfall | 63.84 | 82.7 | | tent | 93.72 | 98.05 | | bag | 11.87 | 12.38 | | minibike | 67.87 | 86.44 | | cradle | 71.6 | 97.66 | | oven | 46.92 | 69.06 | | ball | 47.77 | 52.91 | | food | 61.09 | 86.58 | | step | 0.07 | 0.08 | | tank | 60.21 | 64.31 | | trade name | 14.72 | 15.86 | | microwave | 76.92 | 94.23 | | pot | 49.47 | 55.9 | | animal | 69.24 | 73.43 | | bicycle | 56.99 | 80.09 | | lake | 1.32 | 3.24 | | dishwasher | 48.39 | 63.24 | | screen | 45.71 | 92.27 | | blanket | 6.44 | 6.74 | | sculpture | 51.58 | 68.17 | | hood | 56.49 | 71.97 | | sconce | 25.54 | 28.77 | | vase | 32.96 | 54.25 | | traffic light | 26.37 | 42.34 | | tray | 4.13 | 4.36 | | ashcan | 42.46 | 54.65 | | fan | 53.58 | 65.18 | | pier | 36.15 | 41.37 | | crt screen | 0.13 | 0.36 | | plate | 56.15 | 72.13 | | monitor | 5.99 | 6.26 | | bulletin board | 45.72 | 49.53 | | shower | 0.0 | 0.0 | | radiator | 66.06 | 78.38 | | glass | 14.49 | 16.49 | | clock | 17.74 | 19.78 | | flag | 61.8 | 68.05 | +---------------------+-------+-------+ 2023-11-02 02:41:46,923 - mmseg - INFO - Summary: 2023-11-02 02:41:46,923 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 82.23 | 47.14 | 60.86 | +-------+-------+-------+ 2023-11-02 02:41:46,924 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 02:41:46,924 - mmseg - INFO - Iter(val) [250] aAcc: 0.8223, mIoU: 0.4714, mAcc: 0.6086, IoU.wall: 0.7643, IoU.building: 0.8221, IoU.sky: 0.9276, IoU.floor: 0.8060, IoU.tree: 0.7248, IoU.ceiling: 0.8135, IoU.road: 0.8262, IoU.bed : 0.8912, IoU.windowpane: 0.5959, IoU.grass: 0.6701, IoU.cabinet: 0.6034, IoU.sidewalk: 0.6242, IoU.person: 0.7902, IoU.earth: 0.3046, IoU.door: 0.5194, IoU.table: 0.5815, IoU.mountain: 0.5790, IoU.plant: 0.5324, IoU.curtain: 0.7242, IoU.chair: 0.5383, IoU.car: 0.8211, IoU.water: 0.3643, IoU.painting: 0.6726, IoU.sofa: 0.7010, IoU.shelf: 0.3941, IoU.house: 0.4687, IoU.sea: 0.6108, IoU.mirror: 0.6872, IoU.rug: 0.6090, IoU.field: 0.3160, IoU.armchair: 0.4653, IoU.seat: 0.5745, IoU.fence: 0.4448, IoU.desk: 0.3865, IoU.rock: 0.5065, IoU.wardrobe: 0.5407, IoU.lamp: 0.5746, IoU.bathtub: 0.8269, IoU.railing: 0.3864, IoU.cushion: 0.5732, IoU.base: 0.3971, IoU.box: 0.2425, IoU.column: 0.4757, IoU.signboard: 0.3506, IoU.chest of drawers: 0.4154, IoU.counter: 0.4243, IoU.sand: 0.5082, IoU.sink: 0.6835, IoU.skyscraper: 0.5459, IoU.fireplace: 0.6713, IoU.refrigerator: 0.6838, IoU.grandstand: 0.3571, IoU.path: 0.1514, IoU.stairs: 0.2764, IoU.runway: 0.7082, IoU.case: 0.4702, IoU.pool table: 0.7177, IoU.pillow: 0.6325, IoU.screen door: 0.6396, IoU.stairway: 0.4536, IoU.river: 0.1859, IoU.bridge: 0.5787, IoU.bookcase: 0.3425, IoU.blind: 0.3776, IoU.coffee table: 0.5819, IoU.toilet: 0.8342, IoU.flower: 0.3615, IoU.book: 0.4607, IoU.hill: 0.0915, IoU.bench: 0.4488, IoU.countertop: 0.5545, IoU.stove: 0.7140, IoU.palm: 0.5076, IoU.kitchen island: 0.3059, IoU.computer: 0.7216, IoU.swivel chair: 0.4370, IoU.boat: 0.5241, IoU.bar: 0.5482, IoU.arcade machine: 0.8325, IoU.hovel: 0.1967, IoU.bus: 0.8814, IoU.towel: 0.6784, IoU.light: 0.4135, IoU.truck: 0.3241, IoU.tower: 0.0672, IoU.chandelier: 0.5893, IoU.awning: 0.2953, IoU.streetlight: 0.1910, IoU.booth: 0.3618, IoU.television receiver: 0.6902, IoU.airplane: 0.5639, IoU.dirt track: 0.0000, IoU.apparel: 0.3673, IoU.pole: 0.1222, IoU.land: 0.1408, IoU.bannister: 0.0145, IoU.escalator: 0.5141, IoU.ottoman: 0.4686, IoU.bottle: 0.2598, IoU.buffet: 0.3903, IoU.poster: 0.1040, IoU.stage: 0.1329, IoU.van: 0.3434, IoU.ship: 0.0969, IoU.fountain: 0.3190, IoU.conveyer belt: 0.7926, IoU.canopy: 0.4395, IoU.washer: 0.7903, IoU.plaything: 0.2294, IoU.swimming pool: 0.3689, IoU.stool: 0.2844, IoU.barrel: 0.2326, IoU.basket: 0.3518, IoU.waterfall: 0.6384, IoU.tent: 0.9372, IoU.bag: 0.1187, IoU.minibike: 0.6787, IoU.cradle: 0.7160, IoU.oven: 0.4692, IoU.ball: 0.4777, IoU.food: 0.6109, IoU.step: 0.0007, IoU.tank: 0.6021, IoU.trade name: 0.1472, IoU.microwave: 0.7692, IoU.pot: 0.4947, IoU.animal: 0.6924, IoU.bicycle: 0.5699, IoU.lake: 0.0132, IoU.dishwasher: 0.4839, IoU.screen: 0.4571, IoU.blanket: 0.0644, IoU.sculpture: 0.5158, IoU.hood: 0.5649, IoU.sconce: 0.2554, IoU.vase: 0.3296, IoU.traffic light: 0.2637, IoU.tray: 0.0413, IoU.ashcan: 0.4246, IoU.fan: 0.5358, IoU.pier: 0.3615, IoU.crt screen: 0.0013, IoU.plate: 0.5615, IoU.monitor: 0.0599, IoU.bulletin board: 0.4572, IoU.shower: 0.0000, IoU.radiator: 0.6606, IoU.glass: 0.1449, IoU.clock: 0.1774, IoU.flag: 0.6180, Acc.wall: 0.8813, Acc.building: 0.9398, Acc.sky: 0.9677, Acc.floor: 0.8949, Acc.tree: 0.8299, Acc.ceiling: 0.8887, Acc.road: 0.8909, Acc.bed : 0.9487, Acc.windowpane: 0.6988, Acc.grass: 0.8733, Acc.cabinet: 0.6831, Acc.sidewalk: 0.8489, Acc.person: 0.8908, Acc.earth: 0.3639, Acc.door: 0.6625, Acc.table: 0.7551, Acc.mountain: 0.7227, Acc.plant: 0.6459, Acc.curtain: 0.8823, Acc.chair: 0.6610, Acc.car: 0.9156, Acc.water: 0.4312, Acc.painting: 0.8583, Acc.sofa: 0.8610, Acc.shelf: 0.5537, Acc.house: 0.5708, Acc.sea: 0.8886, Acc.mirror: 0.7771, Acc.rug: 0.6407, Acc.field: 0.5237, Acc.armchair: 0.6892, Acc.seat: 0.9349, Acc.fence: 0.6914, Acc.desk: 0.4597, Acc.rock: 0.5869, Acc.wardrobe: 0.6352, Acc.lamp: 0.6997, Acc.bathtub: 0.9204, Acc.railing: 0.5221, Acc.cushion: 0.6709, Acc.base: 0.6220, Acc.box: 0.3127, Acc.column: 0.5682, Acc.signboard: 0.5152, Acc.chest of drawers: 0.6504, Acc.counter: 0.6636, Acc.sand: 0.7084, Acc.sink: 0.7754, Acc.skyscraper: 0.8107, Acc.fireplace: 0.9222, Acc.refrigerator: 0.8683, Acc.grandstand: 0.8660, Acc.path: 0.1941, Acc.stairs: 0.3197, Acc.runway: 0.9444, Acc.case: 0.5943, Acc.pool table: 0.9872, Acc.pillow: 0.7903, Acc.screen door: 0.8234, Acc.stairway: 0.5376, Acc.river: 0.3845, Acc.bridge: 0.9255, Acc.bookcase: 0.5726, Acc.blind: 0.4043, Acc.coffee table: 0.8634, Acc.toilet: 0.9185, Acc.flower: 0.5007, Acc.book: 0.6463, Acc.hill: 0.2988, Acc.bench: 0.5590, Acc.countertop: 0.6818, Acc.stove: 0.8636, Acc.palm: 0.6869, Acc.kitchen island: 0.8987, Acc.computer: 0.8810, Acc.swivel chair: 0.6342, Acc.boat: 0.9279, Acc.bar: 0.6522, Acc.arcade machine: 0.9522, Acc.hovel: 0.2320, Acc.bus: 0.9451, Acc.towel: 0.7841, Acc.light: 0.4983, Acc.truck: 0.4528, Acc.tower: 0.0904, Acc.chandelier: 0.8470, Acc.awning: 0.3605, Acc.streetlight: 0.2907, Acc.booth: 0.4067, Acc.television receiver: 0.8560, Acc.airplane: 0.6672, Acc.dirt track: 0.0000, Acc.apparel: 0.8283, Acc.pole: 0.1609, Acc.land: 0.1989, Acc.bannister: 0.0168, Acc.escalator: 0.6203, Acc.ottoman: 0.7161, Acc.bottle: 0.3462, Acc.buffet: 0.4619, Acc.poster: 0.1207, Acc.stage: 0.3159, Acc.van: 0.4458, Acc.ship: 0.0997, Acc.fountain: 0.3399, Acc.conveyer belt: 0.9646, Acc.canopy: 0.5351, Acc.washer: 0.8160, Acc.plaything: 0.3144, Acc.swimming pool: 0.8798, Acc.stool: 0.6258, Acc.barrel: 0.2955, Acc.basket: 0.4994, Acc.waterfall: 0.8270, Acc.tent: 0.9805, Acc.bag: 0.1238, Acc.minibike: 0.8644, Acc.cradle: 0.9766, Acc.oven: 0.6906, Acc.ball: 0.5291, Acc.food: 0.8658, Acc.step: 0.0008, Acc.tank: 0.6431, Acc.trade name: 0.1586, Acc.microwave: 0.9423, Acc.pot: 0.5590, Acc.animal: 0.7343, Acc.bicycle: 0.8009, Acc.lake: 0.0324, Acc.dishwasher: 0.6324, Acc.screen: 0.9227, Acc.blanket: 0.0674, Acc.sculpture: 0.6817, Acc.hood: 0.7197, Acc.sconce: 0.2877, Acc.vase: 0.5425, Acc.traffic light: 0.4234, Acc.tray: 0.0436, Acc.ashcan: 0.5465, Acc.fan: 0.6518, Acc.pier: 0.4137, Acc.crt screen: 0.0036, Acc.plate: 0.7213, Acc.monitor: 0.0626, Acc.bulletin board: 0.4953, Acc.shower: 0.0000, Acc.radiator: 0.7838, Acc.glass: 0.1649, Acc.clock: 0.1978, Acc.flag: 0.6805 2023-11-02 02:42:47,797 - mmseg - INFO - Iter [2050/80000] lr: 3.157e-06, eta: 1 day, 5:23:40, time: 2.387, data_time: 1.177, memory: 38534, decode.loss_ce: 0.6687, decode.acc_seg: 77.2750, loss: 0.6687 2023-11-02 02:43:48,608 - mmseg - INFO - Iter [2100/80000] lr: 3.155e-06, eta: 1 day, 5:18:10, time: 1.216, data_time: 0.008, memory: 38534, decode.loss_ce: 0.6815, decode.acc_seg: 76.8657, loss: 0.6815 2023-11-02 02:44:49,363 - mmseg - INFO - Iter [2150/80000] lr: 3.153e-06, eta: 1 day, 5:12:50, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.5913, decode.acc_seg: 78.3938, loss: 0.5913 2023-11-02 02:45:50,132 - mmseg - INFO - Iter [2200/80000] lr: 3.151e-06, eta: 1 day, 5:07:43, time: 1.215, data_time: 0.008, memory: 38534, decode.loss_ce: 0.6445, decode.acc_seg: 77.1552, loss: 0.6445 2023-11-02 02:46:50,917 - mmseg - INFO - Iter [2250/80000] lr: 3.149e-06, eta: 1 day, 5:02:47, time: 1.216, data_time: 0.008, memory: 38534, decode.loss_ce: 0.6012, decode.acc_seg: 78.5054, loss: 0.6012 2023-11-02 02:47:51,676 - mmseg - INFO - Iter [2300/80000] lr: 3.147e-06, eta: 1 day, 4:58:01, time: 1.215, data_time: 0.008, memory: 38534, decode.loss_ce: 0.6768, decode.acc_seg: 76.7705, loss: 0.6768 2023-11-02 02:48:52,459 - mmseg - INFO - Iter [2350/80000] lr: 3.145e-06, eta: 1 day, 4:53:25, time: 1.216, data_time: 0.008, memory: 38534, decode.loss_ce: 0.6374, decode.acc_seg: 77.4810, loss: 0.6374 2023-11-02 02:49:53,247 - mmseg - INFO - Iter [2400/80000] lr: 3.143e-06, eta: 1 day, 4:48:58, time: 1.216, data_time: 0.008, memory: 38534, decode.loss_ce: 0.6553, decode.acc_seg: 77.3280, loss: 0.6553 2023-11-02 02:50:54,013 - mmseg - INFO - Iter [2450/80000] lr: 3.141e-06, eta: 1 day, 4:44:39, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.6326, decode.acc_seg: 78.1063, loss: 0.6326 2023-11-02 02:51:54,817 - mmseg - INFO - Iter [2500/80000] lr: 3.139e-06, eta: 1 day, 4:40:29, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.6265, decode.acc_seg: 77.5263, loss: 0.6265 2023-11-02 02:52:58,004 - mmseg - INFO - Iter [2550/80000] lr: 3.137e-06, eta: 1 day, 4:37:38, time: 1.264, data_time: 0.054, memory: 38534, decode.loss_ce: 0.5905, decode.acc_seg: 79.4379, loss: 0.5905 2023-11-02 02:53:58,774 - mmseg - INFO - Iter [2600/80000] lr: 3.135e-06, eta: 1 day, 4:33:40, time: 1.215, data_time: 0.008, memory: 38534, decode.loss_ce: 0.5644, decode.acc_seg: 80.3239, loss: 0.5644 2023-11-02 02:54:59,580 - mmseg - INFO - Iter [2650/80000] lr: 3.133e-06, eta: 1 day, 4:29:50, time: 1.216, data_time: 0.008, memory: 38534, decode.loss_ce: 0.5742, decode.acc_seg: 79.3104, loss: 0.5742 2023-11-02 02:56:00,400 - mmseg - INFO - Iter [2700/80000] lr: 3.130e-06, eta: 1 day, 4:26:06, time: 1.216, data_time: 0.008, memory: 38534, decode.loss_ce: 0.5876, decode.acc_seg: 78.9181, loss: 0.5876 2023-11-02 02:57:01,241 - mmseg - INFO - Iter [2750/80000] lr: 3.128e-06, eta: 1 day, 4:22:29, time: 1.217, data_time: 0.008, memory: 38534, decode.loss_ce: 0.5791, decode.acc_seg: 80.0887, loss: 0.5791 2023-11-02 02:58:02,040 - mmseg - INFO - Iter [2800/80000] lr: 3.126e-06, eta: 1 day, 4:18:56, time: 1.216, data_time: 0.008, memory: 38534, decode.loss_ce: 0.5583, decode.acc_seg: 79.9765, loss: 0.5583 2023-11-02 02:59:02,845 - mmseg - INFO - Iter [2850/80000] lr: 3.124e-06, eta: 1 day, 4:15:29, time: 1.216, data_time: 0.008, memory: 38534, decode.loss_ce: 0.5674, decode.acc_seg: 80.0892, loss: 0.5674 2023-11-02 03:00:03,638 - mmseg - INFO - Iter [2900/80000] lr: 3.122e-06, eta: 1 day, 4:12:07, time: 1.216, data_time: 0.008, memory: 38534, decode.loss_ce: 0.5390, decode.acc_seg: 80.2387, loss: 0.5390 2023-11-02 03:01:04,420 - mmseg - INFO - Iter [2950/80000] lr: 3.120e-06, eta: 1 day, 4:08:49, time: 1.216, data_time: 0.008, memory: 38534, decode.loss_ce: 0.5755, decode.acc_seg: 79.3452, loss: 0.5755 2023-11-02 03:02:05,228 - mmseg - INFO - Saving checkpoint at 3000 iterations 2023-11-02 03:03:05,848 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 03:03:05,848 - mmseg - INFO - Iter [3000/80000] lr: 3.118e-06, eta: 1 day, 4:31:32, time: 2.429, data_time: 0.008, memory: 38534, decode.loss_ce: 0.5575, decode.acc_seg: 79.1651, loss: 0.5575 2023-11-02 03:04:04,840 - mmseg - INFO - per class results: 2023-11-02 03:04:04,846 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 77.8 | 87.56 | | building | 81.3 | 94.57 | | sky | 93.66 | 96.6 | | floor | 81.67 | 91.05 | | tree | 74.73 | 87.79 | | ceiling | 83.7 | 90.74 | | road | 82.82 | 88.35 | | bed | 89.89 | 94.69 | | windowpane | 62.2 | 78.91 | | grass | 67.44 | 79.8 | | cabinet | 60.53 | 76.41 | | sidewalk | 66.92 | 82.9 | | person | 80.88 | 91.54 | | earth | 34.7 | 47.87 | | door | 53.42 | 66.27 | | table | 62.27 | 75.89 | | mountain | 62.79 | 74.24 | | plant | 55.18 | 63.9 | | curtain | 70.51 | 89.36 | | chair | 57.26 | 72.41 | | car | 82.51 | 93.28 | | water | 60.38 | 74.42 | | painting | 69.9 | 88.55 | | sofa | 74.21 | 84.77 | | shelf | 44.1 | 70.36 | | house | 29.8 | 33.15 | | sea | 75.52 | 88.64 | | mirror | 71.74 | 82.39 | | rug | 66.94 | 72.54 | | field | 34.36 | 79.57 | | armchair | 50.12 | 66.84 | | seat | 63.74 | 82.15 | | fence | 42.95 | 66.37 | | desk | 41.41 | 50.85 | | rock | 56.69 | 83.06 | | wardrobe | 40.9 | 51.13 | | lamp | 59.95 | 75.22 | | bathtub | 82.77 | 85.97 | | railing | 40.27 | 59.04 | | cushion | 58.24 | 70.31 | | base | 30.86 | 35.21 | | box | 29.55 | 45.55 | | column | 49.88 | 62.47 | | signboard | 36.61 | 51.73 | | chest of drawers | 45.08 | 68.19 | | counter | 54.04 | 65.16 | | sand | 43.69 | 61.75 | | sink | 70.91 | 78.12 | | skyscraper | 42.67 | 65.92 | | fireplace | 70.65 | 78.94 | | refrigerator | 71.66 | 76.71 | | grandstand | 63.2 | 74.3 | | path | 20.17 | 25.21 | | stairs | 34.79 | 40.62 | | runway | 73.35 | 93.81 | | case | 51.7 | 83.93 | | pool table | 91.87 | 96.19 | | pillow | 63.1 | 78.43 | | screen door | 21.25 | 22.5 | | stairway | 36.07 | 40.71 | | river | 33.36 | 71.87 | | bridge | 65.65 | 73.23 | | bookcase | 29.52 | 35.3 | | blind | 37.45 | 41.2 | | coffee table | 65.74 | 84.09 | | toilet | 86.77 | 93.52 | | flower | 39.02 | 58.06 | | book | 46.29 | 57.33 | | hill | 5.57 | 6.88 | | bench | 49.46 | 57.36 | | countertop | 58.06 | 72.77 | | stove | 76.2 | 86.72 | | palm | 52.99 | 63.41 | | kitchen island | 37.76 | 79.1 | | computer | 76.01 | 87.47 | | swivel chair | 33.98 | 40.09 | | boat | 52.82 | 89.16 | | bar | 69.87 | 76.52 | | arcade machine | 85.95 | 90.99 | | hovel | 41.22 | 46.02 | | bus | 90.03 | 93.89 | | towel | 66.07 | 81.34 | | light | 43.83 | 51.17 | | truck | 34.81 | 51.6 | | tower | 10.46 | 13.06 | | chandelier | 64.16 | 80.05 | | awning | 27.19 | 30.84 | | streetlight | 21.33 | 28.81 | | booth | 35.0 | 44.02 | | television receiver | 72.11 | 81.54 | | airplane | 60.19 | 68.38 | | dirt track | 8.51 | 26.45 | | apparel | 39.26 | 61.38 | | pole | 18.45 | 24.44 | | land | 1.61 | 2.02 | | bannister | 11.41 | 14.77 | | escalator | 61.12 | 77.55 | | ottoman | 45.87 | 56.42 | | bottle | 25.92 | 33.94 | | buffet | 42.49 | 61.4 | | poster | 14.28 | 17.62 | | stage | 13.91 | 18.48 | | van | 35.67 | 44.24 | | ship | 14.75 | 14.97 | | fountain | 22.27 | 22.87 | | conveyer belt | 84.63 | 96.38 | | canopy | 33.07 | 35.92 | | washer | 72.92 | 74.77 | | plaything | 27.22 | 42.9 | | swimming pool | 76.82 | 79.79 | | stool | 42.49 | 52.92 | | barrel | 55.86 | 64.31 | | basket | 38.4 | 57.22 | | waterfall | 65.72 | 91.08 | | tent | 93.99 | 94.26 | | bag | 11.57 | 12.06 | | minibike | 71.02 | 85.02 | | cradle | 82.73 | 94.91 | | oven | 52.5 | 71.55 | | ball | 51.29 | 73.51 | | food | 65.33 | 81.75 | | step | 7.08 | 7.87 | | tank | 58.0 | 63.44 | | trade name | 18.38 | 19.78 | | microwave | 82.63 | 86.87 | | pot | 47.69 | 54.97 | | animal | 75.86 | 80.4 | | bicycle | 56.13 | 67.94 | | lake | 0.0 | 0.0 | | dishwasher | 48.89 | 59.49 | | screen | 59.33 | 87.46 | | blanket | 20.74 | 23.49 | | sculpture | 59.65 | 65.69 | | hood | 59.38 | 74.88 | | sconce | 37.64 | 48.42 | | vase | 36.87 | 56.01 | | traffic light | 27.73 | 39.86 | | tray | 8.19 | 10.34 | | ashcan | 46.11 | 56.45 | | fan | 56.1 | 69.1 | | pier | 34.62 | 41.07 | | crt screen | 4.52 | 8.14 | | plate | 53.51 | 79.02 | | monitor | 34.82 | 46.34 | | bulletin board | 35.55 | 36.67 | | shower | 0.0 | 0.0 | | radiator | 65.31 | 74.46 | | glass | 13.07 | 13.61 | | clock | 18.84 | 20.32 | | flag | 55.8 | 58.93 | +---------------------+-------+-------+ 2023-11-02 03:04:04,846 - mmseg - INFO - Summary: 2023-11-02 03:04:04,846 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 83.35 | 50.13 | 61.38 | +-------+-------+-------+ 2023-11-02 03:04:04,847 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 03:04:04,847 - mmseg - INFO - Iter(val) [250] aAcc: 0.8335, mIoU: 0.5013, mAcc: 0.6138, IoU.wall: 0.7780, IoU.building: 0.8130, IoU.sky: 0.9366, IoU.floor: 0.8167, IoU.tree: 0.7473, IoU.ceiling: 0.8370, IoU.road: 0.8282, IoU.bed : 0.8989, IoU.windowpane: 0.6220, IoU.grass: 0.6744, IoU.cabinet: 0.6053, IoU.sidewalk: 0.6692, IoU.person: 0.8088, IoU.earth: 0.3470, IoU.door: 0.5342, IoU.table: 0.6227, IoU.mountain: 0.6279, IoU.plant: 0.5518, IoU.curtain: 0.7051, IoU.chair: 0.5726, IoU.car: 0.8251, IoU.water: 0.6038, IoU.painting: 0.6990, IoU.sofa: 0.7421, IoU.shelf: 0.4410, IoU.house: 0.2980, IoU.sea: 0.7552, IoU.mirror: 0.7174, IoU.rug: 0.6694, IoU.field: 0.3436, IoU.armchair: 0.5012, IoU.seat: 0.6374, IoU.fence: 0.4295, IoU.desk: 0.4141, IoU.rock: 0.5669, IoU.wardrobe: 0.4090, IoU.lamp: 0.5995, IoU.bathtub: 0.8277, IoU.railing: 0.4027, IoU.cushion: 0.5824, IoU.base: 0.3086, IoU.box: 0.2955, IoU.column: 0.4988, IoU.signboard: 0.3661, IoU.chest of drawers: 0.4508, IoU.counter: 0.5404, IoU.sand: 0.4369, IoU.sink: 0.7091, IoU.skyscraper: 0.4267, IoU.fireplace: 0.7065, IoU.refrigerator: 0.7166, IoU.grandstand: 0.6320, IoU.path: 0.2017, IoU.stairs: 0.3479, IoU.runway: 0.7335, IoU.case: 0.5170, IoU.pool table: 0.9187, IoU.pillow: 0.6310, IoU.screen door: 0.2125, IoU.stairway: 0.3607, IoU.river: 0.3336, IoU.bridge: 0.6565, IoU.bookcase: 0.2952, IoU.blind: 0.3745, IoU.coffee table: 0.6574, IoU.toilet: 0.8677, IoU.flower: 0.3902, IoU.book: 0.4629, IoU.hill: 0.0557, IoU.bench: 0.4946, IoU.countertop: 0.5806, IoU.stove: 0.7620, IoU.palm: 0.5299, IoU.kitchen island: 0.3776, IoU.computer: 0.7601, IoU.swivel chair: 0.3398, IoU.boat: 0.5282, IoU.bar: 0.6987, IoU.arcade machine: 0.8595, IoU.hovel: 0.4122, IoU.bus: 0.9003, IoU.towel: 0.6607, IoU.light: 0.4383, IoU.truck: 0.3481, IoU.tower: 0.1046, IoU.chandelier: 0.6416, IoU.awning: 0.2719, IoU.streetlight: 0.2133, IoU.booth: 0.3500, IoU.television receiver: 0.7211, IoU.airplane: 0.6019, IoU.dirt track: 0.0851, IoU.apparel: 0.3926, IoU.pole: 0.1845, IoU.land: 0.0161, IoU.bannister: 0.1141, IoU.escalator: 0.6112, IoU.ottoman: 0.4587, IoU.bottle: 0.2592, IoU.buffet: 0.4249, IoU.poster: 0.1428, IoU.stage: 0.1391, IoU.van: 0.3567, IoU.ship: 0.1475, IoU.fountain: 0.2227, IoU.conveyer belt: 0.8463, IoU.canopy: 0.3307, IoU.washer: 0.7292, IoU.plaything: 0.2722, IoU.swimming pool: 0.7682, IoU.stool: 0.4249, IoU.barrel: 0.5586, IoU.basket: 0.3840, IoU.waterfall: 0.6572, IoU.tent: 0.9399, IoU.bag: 0.1157, IoU.minibike: 0.7102, IoU.cradle: 0.8273, IoU.oven: 0.5250, IoU.ball: 0.5129, IoU.food: 0.6533, IoU.step: 0.0708, IoU.tank: 0.5800, IoU.trade name: 0.1838, IoU.microwave: 0.8263, IoU.pot: 0.4769, IoU.animal: 0.7586, IoU.bicycle: 0.5613, IoU.lake: 0.0000, IoU.dishwasher: 0.4889, IoU.screen: 0.5933, IoU.blanket: 0.2074, IoU.sculpture: 0.5965, IoU.hood: 0.5938, IoU.sconce: 0.3764, IoU.vase: 0.3687, IoU.traffic light: 0.2773, IoU.tray: 0.0819, IoU.ashcan: 0.4611, IoU.fan: 0.5610, IoU.pier: 0.3462, IoU.crt screen: 0.0452, IoU.plate: 0.5351, IoU.monitor: 0.3482, IoU.bulletin board: 0.3555, IoU.shower: 0.0000, IoU.radiator: 0.6531, IoU.glass: 0.1307, IoU.clock: 0.1884, IoU.flag: 0.5580, Acc.wall: 0.8756, Acc.building: 0.9457, Acc.sky: 0.9660, Acc.floor: 0.9105, Acc.tree: 0.8779, Acc.ceiling: 0.9074, Acc.road: 0.8835, Acc.bed : 0.9469, Acc.windowpane: 0.7891, Acc.grass: 0.7980, Acc.cabinet: 0.7641, Acc.sidewalk: 0.8290, Acc.person: 0.9154, Acc.earth: 0.4787, Acc.door: 0.6627, Acc.table: 0.7589, Acc.mountain: 0.7424, Acc.plant: 0.6390, Acc.curtain: 0.8936, Acc.chair: 0.7241, Acc.car: 0.9328, Acc.water: 0.7442, Acc.painting: 0.8855, Acc.sofa: 0.8477, Acc.shelf: 0.7036, Acc.house: 0.3315, Acc.sea: 0.8864, Acc.mirror: 0.8239, Acc.rug: 0.7254, Acc.field: 0.7957, Acc.armchair: 0.6684, Acc.seat: 0.8215, Acc.fence: 0.6637, Acc.desk: 0.5085, Acc.rock: 0.8306, Acc.wardrobe: 0.5113, Acc.lamp: 0.7522, Acc.bathtub: 0.8597, Acc.railing: 0.5904, Acc.cushion: 0.7031, Acc.base: 0.3521, Acc.box: 0.4555, Acc.column: 0.6247, Acc.signboard: 0.5173, Acc.chest of drawers: 0.6819, Acc.counter: 0.6516, Acc.sand: 0.6175, Acc.sink: 0.7812, Acc.skyscraper: 0.6592, Acc.fireplace: 0.7894, Acc.refrigerator: 0.7671, Acc.grandstand: 0.7430, Acc.path: 0.2521, Acc.stairs: 0.4062, Acc.runway: 0.9381, Acc.case: 0.8393, Acc.pool table: 0.9619, Acc.pillow: 0.7843, Acc.screen door: 0.2250, Acc.stairway: 0.4071, Acc.river: 0.7187, Acc.bridge: 0.7323, Acc.bookcase: 0.3530, Acc.blind: 0.4120, Acc.coffee table: 0.8409, Acc.toilet: 0.9352, Acc.flower: 0.5806, Acc.book: 0.5733, Acc.hill: 0.0688, Acc.bench: 0.5736, Acc.countertop: 0.7277, Acc.stove: 0.8672, Acc.palm: 0.6341, Acc.kitchen island: 0.7910, Acc.computer: 0.8747, Acc.swivel chair: 0.4009, Acc.boat: 0.8916, Acc.bar: 0.7652, Acc.arcade machine: 0.9099, Acc.hovel: 0.4602, Acc.bus: 0.9389, Acc.towel: 0.8134, Acc.light: 0.5117, Acc.truck: 0.5160, Acc.tower: 0.1306, Acc.chandelier: 0.8005, Acc.awning: 0.3084, Acc.streetlight: 0.2881, Acc.booth: 0.4402, Acc.television receiver: 0.8154, Acc.airplane: 0.6838, Acc.dirt track: 0.2645, Acc.apparel: 0.6138, Acc.pole: 0.2444, Acc.land: 0.0202, Acc.bannister: 0.1477, Acc.escalator: 0.7755, Acc.ottoman: 0.5642, Acc.bottle: 0.3394, Acc.buffet: 0.6140, Acc.poster: 0.1762, Acc.stage: 0.1848, Acc.van: 0.4424, Acc.ship: 0.1497, Acc.fountain: 0.2287, Acc.conveyer belt: 0.9638, Acc.canopy: 0.3592, Acc.washer: 0.7477, Acc.plaything: 0.4290, Acc.swimming pool: 0.7979, Acc.stool: 0.5292, Acc.barrel: 0.6431, Acc.basket: 0.5722, Acc.waterfall: 0.9108, Acc.tent: 0.9426, Acc.bag: 0.1206, Acc.minibike: 0.8502, Acc.cradle: 0.9491, Acc.oven: 0.7155, Acc.ball: 0.7351, Acc.food: 0.8175, Acc.step: 0.0787, Acc.tank: 0.6344, Acc.trade name: 0.1978, Acc.microwave: 0.8687, Acc.pot: 0.5497, Acc.animal: 0.8040, Acc.bicycle: 0.6794, Acc.lake: 0.0000, Acc.dishwasher: 0.5949, Acc.screen: 0.8746, Acc.blanket: 0.2349, Acc.sculpture: 0.6569, Acc.hood: 0.7488, Acc.sconce: 0.4842, Acc.vase: 0.5601, Acc.traffic light: 0.3986, Acc.tray: 0.1034, Acc.ashcan: 0.5645, Acc.fan: 0.6910, Acc.pier: 0.4107, Acc.crt screen: 0.0814, Acc.plate: 0.7902, Acc.monitor: 0.4634, Acc.bulletin board: 0.3667, Acc.shower: 0.0000, Acc.radiator: 0.7446, Acc.glass: 0.1361, Acc.clock: 0.2032, Acc.flag: 0.5893 2023-11-02 03:05:05,785 - mmseg - INFO - Iter [3050/80000] lr: 3.116e-06, eta: 1 day, 4:52:49, time: 2.399, data_time: 1.188, memory: 38534, decode.loss_ce: 0.5780, decode.acc_seg: 79.0272, loss: 0.5780 2023-11-02 03:06:06,671 - mmseg - INFO - Iter [3100/80000] lr: 3.114e-06, eta: 1 day, 4:48:56, time: 1.218, data_time: 0.008, memory: 38534, decode.loss_ce: 0.5268, decode.acc_seg: 80.8714, loss: 0.5268 2023-11-02 03:07:07,480 - mmseg - INFO - Iter [3150/80000] lr: 3.112e-06, eta: 1 day, 4:45:06, time: 1.216, data_time: 0.008, memory: 38534, decode.loss_ce: 0.5501, decode.acc_seg: 79.1022, loss: 0.5501 2023-11-02 03:08:08,309 - mmseg - INFO - Iter [3200/80000] lr: 3.110e-06, eta: 1 day, 4:41:22, time: 1.217, data_time: 0.007, memory: 38534, decode.loss_ce: 0.5302, decode.acc_seg: 80.2768, loss: 0.5302 2023-11-02 03:09:09,152 - mmseg - INFO - Iter [3250/80000] lr: 3.108e-06, eta: 1 day, 4:37:44, time: 1.217, data_time: 0.008, memory: 38534, decode.loss_ce: 0.5214, decode.acc_seg: 80.9461, loss: 0.5214 2023-11-02 03:10:09,996 - mmseg - INFO - Iter [3300/80000] lr: 3.106e-06, eta: 1 day, 4:34:10, time: 1.217, data_time: 0.008, memory: 38534, decode.loss_ce: 0.5823, decode.acc_seg: 78.7390, loss: 0.5823 2023-11-02 03:11:10,805 - mmseg - INFO - Iter [3350/80000] lr: 3.104e-06, eta: 1 day, 4:30:41, time: 1.216, data_time: 0.008, memory: 38534, decode.loss_ce: 0.5617, decode.acc_seg: 79.9956, loss: 0.5617 2023-11-02 03:12:11,611 - mmseg - INFO - Iter [3400/80000] lr: 3.102e-06, eta: 1 day, 4:27:15, time: 1.216, data_time: 0.008, memory: 38534, decode.loss_ce: 0.5658, decode.acc_seg: 80.2059, loss: 0.5658 2023-11-02 03:13:12,408 - mmseg - INFO - Iter [3450/80000] lr: 3.100e-06, eta: 1 day, 4:23:54, time: 1.216, data_time: 0.008, memory: 38534, decode.loss_ce: 0.5446, decode.acc_seg: 79.8244, loss: 0.5446 2023-11-02 03:14:13,256 - mmseg - INFO - Iter [3500/80000] lr: 3.098e-06, eta: 1 day, 4:20:37, time: 1.217, data_time: 0.008, memory: 38534, decode.loss_ce: 0.5639, decode.acc_seg: 79.3372, loss: 0.5639 2023-11-02 03:15:14,023 - mmseg - INFO - Iter [3550/80000] lr: 3.096e-06, eta: 1 day, 4:17:23, time: 1.215, data_time: 0.008, memory: 38534, decode.loss_ce: 0.5033, decode.acc_seg: 80.7329, loss: 0.5033 2023-11-02 03:16:14,858 - mmseg - INFO - Iter [3600/80000] lr: 3.094e-06, eta: 1 day, 4:14:14, time: 1.217, data_time: 0.008, memory: 38534, decode.loss_ce: 0.5405, decode.acc_seg: 80.0740, loss: 0.5405 2023-11-02 03:17:15,772 - mmseg - INFO - Iter [3650/80000] lr: 3.092e-06, eta: 1 day, 4:11:10, time: 1.218, data_time: 0.008, memory: 38534, decode.loss_ce: 0.5485, decode.acc_seg: 80.0120, loss: 0.5485 2023-11-02 03:18:16,606 - mmseg - INFO - Iter [3700/80000] lr: 3.090e-06, eta: 1 day, 4:08:08, time: 1.217, data_time: 0.008, memory: 38534, decode.loss_ce: 0.5383, decode.acc_seg: 79.6813, loss: 0.5383 2023-11-02 03:19:17,458 - mmseg - INFO - Iter [3750/80000] lr: 3.088e-06, eta: 1 day, 4:05:09, time: 1.217, data_time: 0.007, memory: 38534, decode.loss_ce: 0.5274, decode.acc_seg: 80.3506, loss: 0.5274 2023-11-02 03:20:20,582 - mmseg - INFO - Iter [3800/80000] lr: 3.086e-06, eta: 1 day, 4:02:59, time: 1.262, data_time: 0.052, memory: 38534, decode.loss_ce: 0.5765, decode.acc_seg: 79.1653, loss: 0.5765 2023-11-02 03:21:21,453 - mmseg - INFO - Iter [3850/80000] lr: 3.084e-06, eta: 1 day, 4:00:06, time: 1.217, data_time: 0.008, memory: 38534, decode.loss_ce: 0.4965, decode.acc_seg: 82.0097, loss: 0.4965 2023-11-02 03:22:22,293 - mmseg - INFO - Iter [3900/80000] lr: 3.082e-06, eta: 1 day, 3:57:15, time: 1.217, data_time: 0.008, memory: 38534, decode.loss_ce: 0.5127, decode.acc_seg: 81.0237, loss: 0.5127 2023-11-02 03:23:23,103 - mmseg - INFO - Iter [3950/80000] lr: 3.080e-06, eta: 1 day, 3:54:27, time: 1.216, data_time: 0.008, memory: 38534, decode.loss_ce: 0.5013, decode.acc_seg: 80.9865, loss: 0.5013 2023-11-02 03:24:23,889 - mmseg - INFO - Saving checkpoint at 4000 iterations 2023-11-02 03:25:22,117 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 03:25:22,117 - mmseg - INFO - Iter [4000/80000] lr: 3.078e-06, eta: 1 day, 4:10:07, time: 2.380, data_time: 0.008, memory: 38534, decode.loss_ce: 0.4908, decode.acc_seg: 81.4104, loss: 0.4908 2023-11-02 03:26:20,139 - mmseg - INFO - per class results: 2023-11-02 03:26:20,144 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 78.47 | 87.89 | | building | 83.73 | 90.91 | | sky | 93.75 | 96.7 | | floor | 81.53 | 91.57 | | tree | 75.17 | 87.07 | | ceiling | 83.67 | 90.52 | | road | 83.69 | 90.55 | | bed | 89.57 | 96.18 | | windowpane | 63.18 | 85.16 | | grass | 69.36 | 82.27 | | cabinet | 61.78 | 71.73 | | sidewalk | 64.85 | 82.48 | | person | 81.38 | 91.29 | | earth | 44.89 | 66.07 | | door | 53.53 | 69.05 | | table | 62.06 | 76.02 | | mountain | 61.86 | 75.76 | | plant | 56.03 | 66.73 | | curtain | 73.19 | 84.74 | | chair | 57.46 | 72.11 | | car | 83.03 | 93.14 | | water | 58.54 | 84.88 | | painting | 73.76 | 87.19 | | sofa | 74.26 | 88.27 | | shelf | 39.03 | 59.79 | | house | 50.91 | 70.08 | | sea | 61.62 | 75.36 | | mirror | 73.68 | 85.65 | | rug | 57.55 | 62.9 | | field | 29.75 | 42.81 | | armchair | 50.7 | 59.47 | | seat | 61.97 | 80.16 | | fence | 50.86 | 74.01 | | desk | 47.72 | 76.09 | | rock | 56.99 | 67.13 | | wardrobe | 51.23 | 71.75 | | lamp | 61.74 | 75.21 | | bathtub | 80.67 | 86.34 | | railing | 40.13 | 55.0 | | cushion | 62.07 | 75.66 | | base | 39.67 | 62.24 | | box | 32.13 | 38.29 | | column | 46.82 | 60.56 | | signboard | 36.05 | 47.38 | | chest of drawers | 47.01 | 67.47 | | counter | 46.11 | 60.0 | | sand | 56.41 | 81.9 | | sink | 69.88 | 82.2 | | skyscraper | 51.3 | 78.26 | | fireplace | 68.24 | 94.32 | | refrigerator | 77.52 | 84.81 | | grandstand | 32.02 | 54.49 | | path | 20.49 | 24.94 | | stairs | 26.32 | 30.15 | | runway | 72.59 | 95.95 | | case | 59.11 | 83.23 | | pool table | 92.05 | 96.71 | | pillow | 60.98 | 71.26 | | screen door | 73.13 | 78.0 | | stairway | 43.88 | 64.27 | | river | 13.92 | 15.76 | | bridge | 72.56 | 81.65 | | bookcase | 33.89 | 73.7 | | blind | 23.67 | 24.22 | | coffee table | 63.53 | 87.44 | | toilet | 86.78 | 95.22 | | flower | 36.38 | 52.54 | | book | 38.09 | 48.03 | | hill | 7.26 | 8.35 | | bench | 57.9 | 70.93 | | countertop | 57.82 | 81.53 | | stove | 76.35 | 83.2 | | palm | 55.23 | 76.84 | | kitchen island | 37.17 | 79.03 | | computer | 74.33 | 88.47 | | swivel chair | 47.09 | 79.15 | | boat | 68.28 | 85.78 | | bar | 63.23 | 74.62 | | arcade machine | 87.65 | 94.53 | | hovel | 11.92 | 12.73 | | bus | 88.75 | 95.72 | | towel | 70.29 | 83.5 | | light | 43.14 | 49.17 | | truck | 40.68 | 51.72 | | tower | 21.95 | 40.85 | | chandelier | 64.17 | 81.05 | | awning | 36.92 | 47.08 | | streetlight | 24.0 | 30.44 | | booth | 36.25 | 38.27 | | television receiver | 72.73 | 88.81 | | airplane | 58.76 | 65.82 | | dirt track | 21.31 | 26.66 | | apparel | 47.28 | 63.01 | | pole | 18.65 | 25.65 | | land | 0.93 | 1.25 | | bannister | 14.74 | 19.29 | | escalator | 52.41 | 65.65 | | ottoman | 49.79 | 66.33 | | bottle | 19.23 | 22.77 | | buffet | 36.53 | 37.89 | | poster | 30.64 | 43.79 | | stage | 13.54 | 19.77 | | van | 26.33 | 30.21 | | ship | 8.26 | 8.32 | | fountain | 38.72 | 42.32 | | conveyer belt | 69.41 | 96.92 | | canopy | 41.25 | 43.73 | | washer | 85.76 | 94.77 | | plaything | 27.38 | 32.85 | | swimming pool | 44.13 | 85.66 | | stool | 35.85 | 74.86 | | barrel | 58.34 | 70.19 | | basket | 41.11 | 51.68 | | waterfall | 48.86 | 58.3 | | tent | 94.72 | 97.67 | | bag | 23.57 | 27.12 | | minibike | 69.22 | 84.05 | | cradle | 81.45 | 97.85 | | oven | 54.8 | 77.22 | | ball | 48.73 | 70.84 | | food | 60.77 | 73.07 | | step | 15.98 | 19.72 | | tank | 51.33 | 68.22 | | trade name | 35.89 | 49.66 | | microwave | 83.29 | 88.31 | | pot | 51.05 | 57.97 | | animal | 73.5 | 76.84 | | bicycle | 60.07 | 79.34 | | lake | 0.0 | 0.0 | | dishwasher | 64.09 | 75.57 | | screen | 58.48 | 87.31 | | blanket | 14.46 | 16.12 | | sculpture | 67.52 | 78.33 | | hood | 59.94 | 75.15 | | sconce | 43.96 | 56.54 | | vase | 38.09 | 57.7 | | traffic light | 28.01 | 51.68 | | tray | 11.82 | 15.17 | | ashcan | 46.18 | 64.51 | | fan | 58.65 | 81.9 | | pier | 36.85 | 42.24 | | crt screen | 3.41 | 8.95 | | plate | 55.98 | 68.99 | | monitor | 9.85 | 10.65 | | bulletin board | 53.54 | 73.99 | | shower | 0.36 | 0.36 | | radiator | 64.7 | 78.08 | | glass | 15.04 | 15.87 | | clock | 25.37 | 27.93 | | flag | 63.83 | 72.67 | +---------------------+-------+-------+ 2023-11-02 03:26:20,145 - mmseg - INFO - Summary: 2023-11-02 03:26:20,145 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 83.94 | 51.08 | 63.85 | +-------+-------+-------+ 2023-11-02 03:26:20,146 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 03:26:20,146 - mmseg - INFO - Iter(val) [250] aAcc: 0.8394, mIoU: 0.5108, mAcc: 0.6385, IoU.wall: 0.7847, IoU.building: 0.8373, IoU.sky: 0.9375, IoU.floor: 0.8153, IoU.tree: 0.7517, IoU.ceiling: 0.8367, IoU.road: 0.8369, IoU.bed : 0.8957, IoU.windowpane: 0.6318, IoU.grass: 0.6936, IoU.cabinet: 0.6178, IoU.sidewalk: 0.6485, IoU.person: 0.8138, IoU.earth: 0.4489, IoU.door: 0.5353, IoU.table: 0.6206, IoU.mountain: 0.6186, IoU.plant: 0.5603, IoU.curtain: 0.7319, IoU.chair: 0.5746, IoU.car: 0.8303, IoU.water: 0.5854, IoU.painting: 0.7376, IoU.sofa: 0.7426, IoU.shelf: 0.3903, IoU.house: 0.5091, IoU.sea: 0.6162, IoU.mirror: 0.7368, IoU.rug: 0.5755, IoU.field: 0.2975, IoU.armchair: 0.5070, IoU.seat: 0.6197, IoU.fence: 0.5086, IoU.desk: 0.4772, IoU.rock: 0.5699, IoU.wardrobe: 0.5123, IoU.lamp: 0.6174, IoU.bathtub: 0.8067, IoU.railing: 0.4013, IoU.cushion: 0.6207, IoU.base: 0.3967, IoU.box: 0.3213, IoU.column: 0.4682, IoU.signboard: 0.3605, IoU.chest of drawers: 0.4701, IoU.counter: 0.4611, IoU.sand: 0.5641, IoU.sink: 0.6988, IoU.skyscraper: 0.5130, IoU.fireplace: 0.6824, IoU.refrigerator: 0.7752, IoU.grandstand: 0.3202, IoU.path: 0.2049, IoU.stairs: 0.2632, IoU.runway: 0.7259, IoU.case: 0.5911, IoU.pool table: 0.9205, IoU.pillow: 0.6098, IoU.screen door: 0.7313, IoU.stairway: 0.4388, IoU.river: 0.1392, IoU.bridge: 0.7256, IoU.bookcase: 0.3389, IoU.blind: 0.2367, IoU.coffee table: 0.6353, IoU.toilet: 0.8678, IoU.flower: 0.3638, IoU.book: 0.3809, IoU.hill: 0.0726, IoU.bench: 0.5790, IoU.countertop: 0.5782, IoU.stove: 0.7635, IoU.palm: 0.5523, IoU.kitchen island: 0.3717, IoU.computer: 0.7433, IoU.swivel chair: 0.4709, IoU.boat: 0.6828, IoU.bar: 0.6323, IoU.arcade machine: 0.8765, IoU.hovel: 0.1192, IoU.bus: 0.8875, IoU.towel: 0.7029, IoU.light: 0.4314, IoU.truck: 0.4068, IoU.tower: 0.2195, IoU.chandelier: 0.6417, IoU.awning: 0.3692, IoU.streetlight: 0.2400, IoU.booth: 0.3625, IoU.television receiver: 0.7273, IoU.airplane: 0.5876, IoU.dirt track: 0.2131, IoU.apparel: 0.4728, IoU.pole: 0.1865, IoU.land: 0.0093, IoU.bannister: 0.1474, IoU.escalator: 0.5241, IoU.ottoman: 0.4979, IoU.bottle: 0.1923, IoU.buffet: 0.3653, IoU.poster: 0.3064, IoU.stage: 0.1354, IoU.van: 0.2633, IoU.ship: 0.0826, IoU.fountain: 0.3872, IoU.conveyer belt: 0.6941, IoU.canopy: 0.4125, IoU.washer: 0.8576, IoU.plaything: 0.2738, IoU.swimming pool: 0.4413, IoU.stool: 0.3585, IoU.barrel: 0.5834, IoU.basket: 0.4111, IoU.waterfall: 0.4886, IoU.tent: 0.9472, IoU.bag: 0.2357, IoU.minibike: 0.6922, IoU.cradle: 0.8145, IoU.oven: 0.5480, IoU.ball: 0.4873, IoU.food: 0.6077, IoU.step: 0.1598, IoU.tank: 0.5133, IoU.trade name: 0.3589, IoU.microwave: 0.8329, IoU.pot: 0.5105, IoU.animal: 0.7350, IoU.bicycle: 0.6007, IoU.lake: 0.0000, IoU.dishwasher: 0.6409, IoU.screen: 0.5848, IoU.blanket: 0.1446, IoU.sculpture: 0.6752, IoU.hood: 0.5994, IoU.sconce: 0.4396, IoU.vase: 0.3809, IoU.traffic light: 0.2801, IoU.tray: 0.1182, IoU.ashcan: 0.4618, IoU.fan: 0.5865, IoU.pier: 0.3685, IoU.crt screen: 0.0341, IoU.plate: 0.5598, IoU.monitor: 0.0985, IoU.bulletin board: 0.5354, IoU.shower: 0.0036, IoU.radiator: 0.6470, IoU.glass: 0.1504, IoU.clock: 0.2537, IoU.flag: 0.6383, Acc.wall: 0.8789, Acc.building: 0.9091, Acc.sky: 0.9670, Acc.floor: 0.9157, Acc.tree: 0.8707, Acc.ceiling: 0.9052, Acc.road: 0.9055, Acc.bed : 0.9618, Acc.windowpane: 0.8516, Acc.grass: 0.8227, Acc.cabinet: 0.7173, Acc.sidewalk: 0.8248, Acc.person: 0.9129, Acc.earth: 0.6607, Acc.door: 0.6905, Acc.table: 0.7602, Acc.mountain: 0.7576, Acc.plant: 0.6673, Acc.curtain: 0.8474, Acc.chair: 0.7211, Acc.car: 0.9314, Acc.water: 0.8488, Acc.painting: 0.8719, Acc.sofa: 0.8827, Acc.shelf: 0.5979, Acc.house: 0.7008, Acc.sea: 0.7536, Acc.mirror: 0.8565, Acc.rug: 0.6290, Acc.field: 0.4281, Acc.armchair: 0.5947, Acc.seat: 0.8016, Acc.fence: 0.7401, Acc.desk: 0.7609, Acc.rock: 0.6713, Acc.wardrobe: 0.7175, Acc.lamp: 0.7521, Acc.bathtub: 0.8634, Acc.railing: 0.5500, Acc.cushion: 0.7566, Acc.base: 0.6224, Acc.box: 0.3829, Acc.column: 0.6056, Acc.signboard: 0.4738, Acc.chest of drawers: 0.6747, Acc.counter: 0.6000, Acc.sand: 0.8190, Acc.sink: 0.8220, Acc.skyscraper: 0.7826, Acc.fireplace: 0.9432, Acc.refrigerator: 0.8481, Acc.grandstand: 0.5449, Acc.path: 0.2494, Acc.stairs: 0.3015, Acc.runway: 0.9595, Acc.case: 0.8323, Acc.pool table: 0.9671, Acc.pillow: 0.7126, Acc.screen door: 0.7800, Acc.stairway: 0.6427, Acc.river: 0.1576, Acc.bridge: 0.8165, Acc.bookcase: 0.7370, Acc.blind: 0.2422, Acc.coffee table: 0.8744, Acc.toilet: 0.9522, Acc.flower: 0.5254, Acc.book: 0.4803, Acc.hill: 0.0835, Acc.bench: 0.7093, Acc.countertop: 0.8153, Acc.stove: 0.8320, Acc.palm: 0.7684, Acc.kitchen island: 0.7903, Acc.computer: 0.8847, Acc.swivel chair: 0.7915, Acc.boat: 0.8578, Acc.bar: 0.7462, Acc.arcade machine: 0.9453, Acc.hovel: 0.1273, Acc.bus: 0.9572, Acc.towel: 0.8350, Acc.light: 0.4917, Acc.truck: 0.5172, Acc.tower: 0.4085, Acc.chandelier: 0.8105, Acc.awning: 0.4708, Acc.streetlight: 0.3044, Acc.booth: 0.3827, Acc.television receiver: 0.8881, Acc.airplane: 0.6582, Acc.dirt track: 0.2666, Acc.apparel: 0.6301, Acc.pole: 0.2565, Acc.land: 0.0125, Acc.bannister: 0.1929, Acc.escalator: 0.6565, Acc.ottoman: 0.6633, Acc.bottle: 0.2277, Acc.buffet: 0.3789, Acc.poster: 0.4379, Acc.stage: 0.1977, Acc.van: 0.3021, Acc.ship: 0.0832, Acc.fountain: 0.4232, Acc.conveyer belt: 0.9692, Acc.canopy: 0.4373, Acc.washer: 0.9477, Acc.plaything: 0.3285, Acc.swimming pool: 0.8566, Acc.stool: 0.7486, Acc.barrel: 0.7019, Acc.basket: 0.5168, Acc.waterfall: 0.5830, Acc.tent: 0.9767, Acc.bag: 0.2712, Acc.minibike: 0.8405, Acc.cradle: 0.9785, Acc.oven: 0.7722, Acc.ball: 0.7084, Acc.food: 0.7307, Acc.step: 0.1972, Acc.tank: 0.6822, Acc.trade name: 0.4966, Acc.microwave: 0.8831, Acc.pot: 0.5797, Acc.animal: 0.7684, Acc.bicycle: 0.7934, Acc.lake: 0.0000, Acc.dishwasher: 0.7557, Acc.screen: 0.8731, Acc.blanket: 0.1612, Acc.sculpture: 0.7833, Acc.hood: 0.7515, Acc.sconce: 0.5654, Acc.vase: 0.5770, Acc.traffic light: 0.5168, Acc.tray: 0.1517, Acc.ashcan: 0.6451, Acc.fan: 0.8190, Acc.pier: 0.4224, Acc.crt screen: 0.0895, Acc.plate: 0.6899, Acc.monitor: 0.1065, Acc.bulletin board: 0.7399, Acc.shower: 0.0036, Acc.radiator: 0.7808, Acc.glass: 0.1587, Acc.clock: 0.2793, Acc.flag: 0.7267 2023-11-02 03:27:21,086 - mmseg - INFO - Iter [4050/80000] lr: 3.076e-06, eta: 1 day, 4:25:20, time: 2.379, data_time: 1.169, memory: 38534, decode.loss_ce: 0.4952, decode.acc_seg: 81.7511, loss: 0.4952 2023-11-02 03:28:21,906 - mmseg - INFO - Iter [4100/80000] lr: 3.074e-06, eta: 1 day, 4:22:12, time: 1.216, data_time: 0.008, memory: 38534, decode.loss_ce: 0.5436, decode.acc_seg: 80.1983, loss: 0.5436 2023-11-02 03:29:22,702 - mmseg - INFO - Iter [4150/80000] lr: 3.072e-06, eta: 1 day, 4:19:06, time: 1.216, data_time: 0.008, memory: 38534, decode.loss_ce: 0.5179, decode.acc_seg: 80.4686, loss: 0.5179 2023-11-02 03:30:23,539 - mmseg - INFO - Iter [4200/80000] lr: 3.070e-06, eta: 1 day, 4:16:04, time: 1.217, data_time: 0.008, memory: 38534, decode.loss_ce: 0.5138, decode.acc_seg: 80.9211, loss: 0.5138 2023-11-02 03:31:24,356 - mmseg - INFO - Iter [4250/80000] lr: 3.068e-06, eta: 1 day, 4:13:04, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.5140, decode.acc_seg: 80.6900, loss: 0.5140 2023-11-02 03:32:25,140 - mmseg - INFO - Iter [4300/80000] lr: 3.066e-06, eta: 1 day, 4:10:07, time: 1.216, data_time: 0.008, memory: 38534, decode.loss_ce: 0.4881, decode.acc_seg: 81.5031, loss: 0.4881 2023-11-02 03:33:25,944 - mmseg - INFO - Iter [4350/80000] lr: 3.064e-06, eta: 1 day, 4:07:13, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.5098, decode.acc_seg: 80.9042, loss: 0.5098 2023-11-02 03:34:26,708 - mmseg - INFO - Iter [4400/80000] lr: 3.062e-06, eta: 1 day, 4:04:20, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.5495, decode.acc_seg: 79.6138, loss: 0.5495 2023-11-02 03:35:27,500 - mmseg - INFO - Iter [4450/80000] lr: 3.060e-06, eta: 1 day, 4:01:31, time: 1.216, data_time: 0.008, memory: 38534, decode.loss_ce: 0.5504, decode.acc_seg: 80.0583, loss: 0.5504 2023-11-02 03:36:28,293 - mmseg - INFO - Iter [4500/80000] lr: 3.058e-06, eta: 1 day, 3:58:43, time: 1.216, data_time: 0.008, memory: 38534, decode.loss_ce: 0.5262, decode.acc_seg: 79.3493, loss: 0.5262 2023-11-02 03:37:29,094 - mmseg - INFO - Iter [4550/80000] lr: 3.056e-06, eta: 1 day, 3:55:59, time: 1.216, data_time: 0.008, memory: 38534, decode.loss_ce: 0.5195, decode.acc_seg: 80.4412, loss: 0.5195 2023-11-02 03:38:29,854 - mmseg - INFO - Iter [4600/80000] lr: 3.054e-06, eta: 1 day, 3:53:16, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.5352, decode.acc_seg: 80.2375, loss: 0.5352 2023-11-02 03:39:30,666 - mmseg - INFO - Iter [4650/80000] lr: 3.052e-06, eta: 1 day, 3:50:36, time: 1.216, data_time: 0.008, memory: 38534, decode.loss_ce: 0.4915, decode.acc_seg: 81.4942, loss: 0.4915 2023-11-02 03:40:31,519 - mmseg - INFO - Iter [4700/80000] lr: 3.049e-06, eta: 1 day, 3:47:59, time: 1.217, data_time: 0.008, memory: 38534, decode.loss_ce: 0.4826, decode.acc_seg: 82.0826, loss: 0.4826 2023-11-02 03:41:32,352 - mmseg - INFO - Iter [4750/80000] lr: 3.047e-06, eta: 1 day, 3:45:23, time: 1.217, data_time: 0.008, memory: 38534, decode.loss_ce: 0.5047, decode.acc_seg: 80.8010, loss: 0.5047 2023-11-02 03:42:33,150 - mmseg - INFO - Iter [4800/80000] lr: 3.045e-06, eta: 1 day, 3:42:49, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.5389, decode.acc_seg: 80.0326, loss: 0.5389 2023-11-02 03:43:33,918 - mmseg - INFO - Iter [4850/80000] lr: 3.043e-06, eta: 1 day, 3:40:16, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.5184, decode.acc_seg: 80.4958, loss: 0.5184 2023-11-02 03:44:34,671 - mmseg - INFO - Iter [4900/80000] lr: 3.041e-06, eta: 1 day, 3:37:45, time: 1.215, data_time: 0.008, memory: 38534, decode.loss_ce: 0.4813, decode.acc_seg: 81.4485, loss: 0.4813 2023-11-02 03:45:35,491 - mmseg - INFO - Iter [4950/80000] lr: 3.039e-06, eta: 1 day, 3:35:17, time: 1.216, data_time: 0.008, memory: 38534, decode.loss_ce: 0.5272, decode.acc_seg: 80.7575, loss: 0.5272 2023-11-02 03:46:36,296 - mmseg - INFO - Saving checkpoint at 5000 iterations 2023-11-02 03:47:37,496 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 03:47:37,496 - mmseg - INFO - Iter [5000/80000] lr: 3.037e-06, eta: 1 day, 3:48:09, time: 2.440, data_time: 0.008, memory: 38534, decode.loss_ce: 0.5132, decode.acc_seg: 81.2947, loss: 0.5132 2023-11-02 03:48:36,934 - mmseg - INFO - per class results: 2023-11-02 03:48:36,939 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 77.84 | 86.45 | | building | 83.02 | 92.54 | | sky | 93.83 | 96.96 | | floor | 82.57 | 89.3 | | tree | 74.82 | 88.88 | | ceiling | 83.73 | 90.91 | | road | 83.68 | 89.61 | | bed | 90.39 | 96.42 | | windowpane | 64.19 | 77.26 | | grass | 64.68 | 71.94 | | cabinet | 61.95 | 71.99 | | sidewalk | 66.98 | 82.82 | | person | 81.37 | 92.64 | | earth | 33.37 | 41.79 | | door | 56.83 | 77.31 | | table | 62.97 | 75.15 | | mountain | 61.77 | 81.83 | | plant | 53.76 | 70.62 | | curtain | 73.45 | 88.02 | | chair | 59.68 | 76.12 | | car | 82.75 | 93.96 | | water | 56.59 | 66.73 | | painting | 68.1 | 90.1 | | sofa | 76.41 | 88.91 | | shelf | 45.42 | 65.76 | | house | 52.34 | 64.18 | | sea | 59.04 | 83.39 | | mirror | 71.34 | 80.29 | | rug | 65.18 | 76.89 | | field | 32.57 | 78.92 | | armchair | 55.33 | 69.41 | | seat | 65.31 | 81.7 | | fence | 47.28 | 74.29 | | desk | 46.31 | 69.06 | | rock | 46.71 | 66.93 | | wardrobe | 52.96 | 82.39 | | lamp | 63.8 | 73.72 | | bathtub | 88.73 | 92.06 | | railing | 37.63 | 46.06 | | cushion | 58.78 | 73.67 | | base | 37.33 | 48.88 | | box | 30.48 | 39.34 | | column | 45.61 | 53.0 | | signboard | 37.31 | 45.58 | | chest of drawers | 49.24 | 63.97 | | counter | 40.81 | 50.13 | | sand | 47.7 | 83.93 | | sink | 74.81 | 87.79 | | skyscraper | 46.92 | 71.99 | | fireplace | 66.63 | 95.36 | | refrigerator | 77.33 | 84.14 | | grandstand | 59.84 | 81.0 | | path | 26.13 | 35.19 | | stairs | 29.99 | 39.9 | | runway | 72.63 | 94.9 | | case | 50.89 | 89.5 | | pool table | 91.75 | 97.92 | | pillow | 62.43 | 73.55 | | screen door | 68.95 | 94.27 | | stairway | 34.91 | 62.98 | | river | 30.06 | 47.41 | | bridge | 65.86 | 87.34 | | bookcase | 34.44 | 48.15 | | blind | 44.28 | 55.3 | | coffee table | 62.56 | 86.79 | | toilet | 87.13 | 93.31 | | flower | 38.8 | 59.21 | | book | 50.58 | 69.15 | | hill | 6.42 | 8.54 | | bench | 66.27 | 73.91 | | countertop | 59.85 | 70.27 | | stove | 77.14 | 86.27 | | palm | 55.05 | 74.01 | | kitchen island | 43.86 | 61.87 | | computer | 73.6 | 89.03 | | swivel chair | 43.95 | 53.9 | | boat | 33.53 | 55.47 | | bar | 62.66 | 80.41 | | arcade machine | 80.12 | 84.75 | | hovel | 45.31 | 53.7 | | bus | 89.6 | 95.87 | | towel | 65.57 | 80.97 | | light | 46.96 | 58.75 | | truck | 41.5 | 51.94 | | tower | 26.83 | 59.58 | | chandelier | 65.06 | 83.22 | | awning | 37.96 | 43.93 | | streetlight | 22.97 | 31.56 | | booth | 42.66 | 47.11 | | television receiver | 73.55 | 86.35 | | airplane | 69.34 | 81.82 | | dirt track | 6.79 | 26.39 | | apparel | 46.11 | 65.06 | | pole | 18.92 | 23.79 | | land | 10.8 | 14.16 | | bannister | 16.48 | 20.59 | | escalator | 56.93 | 76.04 | | ottoman | 48.75 | 76.98 | | bottle | 20.78 | 26.29 | | buffet | 37.09 | 42.99 | | poster | 31.45 | 37.18 | | stage | 22.12 | 34.42 | | van | 25.59 | 28.02 | | ship | 52.93 | 98.32 | | fountain | 45.65 | 46.7 | | conveyer belt | 85.39 | 90.63 | | canopy | 37.38 | 70.71 | | washer | 82.57 | 85.18 | | plaything | 28.84 | 45.28 | | swimming pool | 63.48 | 86.32 | | stool | 47.99 | 56.46 | | barrel | 51.01 | 65.14 | | basket | 38.37 | 45.52 | | waterfall | 68.41 | 83.47 | | tent | 84.23 | 98.41 | | bag | 23.11 | 25.99 | | minibike | 71.05 | 82.46 | | cradle | 74.37 | 98.79 | | oven | 59.18 | 68.73 | | ball | 35.71 | 39.07 | | food | 58.78 | 81.54 | | step | 5.46 | 6.09 | | tank | 57.24 | 65.04 | | trade name | 27.42 | 30.69 | | microwave | 86.12 | 91.18 | | pot | 53.49 | 69.23 | | animal | 73.87 | 76.19 | | bicycle | 55.42 | 82.01 | | lake | 0.91 | 0.91 | | dishwasher | 61.97 | 77.95 | | screen | 58.31 | 87.69 | | blanket | 10.35 | 11.17 | | sculpture | 65.67 | 75.22 | | hood | 66.45 | 72.17 | | sconce | 47.66 | 64.39 | | vase | 40.76 | 58.59 | | traffic light | 31.18 | 47.44 | | tray | 7.29 | 8.22 | | ashcan | 46.95 | 59.16 | | fan | 60.06 | 79.22 | | pier | 39.61 | 62.63 | | crt screen | 0.33 | 0.62 | | plate | 58.09 | 70.29 | | monitor | 31.65 | 37.09 | | bulletin board | 53.4 | 81.57 | | shower | 0.58 | 0.94 | | radiator | 66.4 | 76.58 | | glass | 15.11 | 16.02 | | clock | 36.14 | 38.65 | | flag | 66.83 | 72.32 | +---------------------+-------+-------+ 2023-11-02 03:48:36,939 - mmseg - INFO - Summary: 2023-11-02 03:48:36,939 - mmseg - INFO - +------+-------+------+ | aAcc | mIoU | mAcc | +------+-------+------+ | 83.8 | 52.36 | 65.8 | +------+-------+------+ 2023-11-02 03:48:36,940 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 03:48:36,940 - mmseg - INFO - Iter(val) [250] aAcc: 0.8380, mIoU: 0.5236, mAcc: 0.6580, IoU.wall: 0.7784, IoU.building: 0.8302, IoU.sky: 0.9383, IoU.floor: 0.8257, IoU.tree: 0.7482, IoU.ceiling: 0.8373, IoU.road: 0.8368, IoU.bed : 0.9039, IoU.windowpane: 0.6419, IoU.grass: 0.6468, IoU.cabinet: 0.6195, IoU.sidewalk: 0.6698, IoU.person: 0.8137, IoU.earth: 0.3337, IoU.door: 0.5683, IoU.table: 0.6297, IoU.mountain: 0.6177, IoU.plant: 0.5376, IoU.curtain: 0.7345, IoU.chair: 0.5968, IoU.car: 0.8275, IoU.water: 0.5659, IoU.painting: 0.6810, IoU.sofa: 0.7641, IoU.shelf: 0.4542, IoU.house: 0.5234, IoU.sea: 0.5904, IoU.mirror: 0.7134, IoU.rug: 0.6518, IoU.field: 0.3257, IoU.armchair: 0.5533, IoU.seat: 0.6531, IoU.fence: 0.4728, IoU.desk: 0.4631, IoU.rock: 0.4671, IoU.wardrobe: 0.5296, IoU.lamp: 0.6380, IoU.bathtub: 0.8873, IoU.railing: 0.3763, IoU.cushion: 0.5878, IoU.base: 0.3733, IoU.box: 0.3048, IoU.column: 0.4561, IoU.signboard: 0.3731, IoU.chest of drawers: 0.4924, IoU.counter: 0.4081, IoU.sand: 0.4770, IoU.sink: 0.7481, IoU.skyscraper: 0.4692, IoU.fireplace: 0.6663, IoU.refrigerator: 0.7733, IoU.grandstand: 0.5984, IoU.path: 0.2613, IoU.stairs: 0.2999, IoU.runway: 0.7263, IoU.case: 0.5089, IoU.pool table: 0.9175, IoU.pillow: 0.6243, IoU.screen door: 0.6895, IoU.stairway: 0.3491, IoU.river: 0.3006, IoU.bridge: 0.6586, IoU.bookcase: 0.3444, IoU.blind: 0.4428, IoU.coffee table: 0.6256, IoU.toilet: 0.8713, IoU.flower: 0.3880, IoU.book: 0.5058, IoU.hill: 0.0642, IoU.bench: 0.6627, IoU.countertop: 0.5985, IoU.stove: 0.7714, IoU.palm: 0.5505, IoU.kitchen island: 0.4386, IoU.computer: 0.7360, IoU.swivel chair: 0.4395, IoU.boat: 0.3353, IoU.bar: 0.6266, IoU.arcade machine: 0.8012, IoU.hovel: 0.4531, IoU.bus: 0.8960, IoU.towel: 0.6557, IoU.light: 0.4696, IoU.truck: 0.4150, IoU.tower: 0.2683, IoU.chandelier: 0.6506, IoU.awning: 0.3796, IoU.streetlight: 0.2297, IoU.booth: 0.4266, IoU.television receiver: 0.7355, IoU.airplane: 0.6934, IoU.dirt track: 0.0679, IoU.apparel: 0.4611, IoU.pole: 0.1892, IoU.land: 0.1080, IoU.bannister: 0.1648, IoU.escalator: 0.5693, IoU.ottoman: 0.4875, IoU.bottle: 0.2078, IoU.buffet: 0.3709, IoU.poster: 0.3145, IoU.stage: 0.2212, IoU.van: 0.2559, IoU.ship: 0.5293, IoU.fountain: 0.4565, IoU.conveyer belt: 0.8539, IoU.canopy: 0.3738, IoU.washer: 0.8257, IoU.plaything: 0.2884, IoU.swimming pool: 0.6348, IoU.stool: 0.4799, IoU.barrel: 0.5101, IoU.basket: 0.3837, IoU.waterfall: 0.6841, IoU.tent: 0.8423, IoU.bag: 0.2311, IoU.minibike: 0.7105, IoU.cradle: 0.7437, IoU.oven: 0.5918, IoU.ball: 0.3571, IoU.food: 0.5878, IoU.step: 0.0546, IoU.tank: 0.5724, IoU.trade name: 0.2742, IoU.microwave: 0.8612, IoU.pot: 0.5349, IoU.animal: 0.7387, IoU.bicycle: 0.5542, IoU.lake: 0.0091, IoU.dishwasher: 0.6197, IoU.screen: 0.5831, IoU.blanket: 0.1035, IoU.sculpture: 0.6567, IoU.hood: 0.6645, IoU.sconce: 0.4766, IoU.vase: 0.4076, IoU.traffic light: 0.3118, IoU.tray: 0.0729, IoU.ashcan: 0.4695, IoU.fan: 0.6006, IoU.pier: 0.3961, IoU.crt screen: 0.0033, IoU.plate: 0.5809, IoU.monitor: 0.3165, IoU.bulletin board: 0.5340, IoU.shower: 0.0058, IoU.radiator: 0.6640, IoU.glass: 0.1511, IoU.clock: 0.3614, IoU.flag: 0.6683, Acc.wall: 0.8645, Acc.building: 0.9254, Acc.sky: 0.9696, Acc.floor: 0.8930, Acc.tree: 0.8888, Acc.ceiling: 0.9091, Acc.road: 0.8961, Acc.bed : 0.9642, Acc.windowpane: 0.7726, Acc.grass: 0.7194, Acc.cabinet: 0.7199, Acc.sidewalk: 0.8282, Acc.person: 0.9264, Acc.earth: 0.4179, Acc.door: 0.7731, Acc.table: 0.7515, Acc.mountain: 0.8183, Acc.plant: 0.7062, Acc.curtain: 0.8802, Acc.chair: 0.7612, Acc.car: 0.9396, Acc.water: 0.6673, Acc.painting: 0.9010, Acc.sofa: 0.8891, Acc.shelf: 0.6576, Acc.house: 0.6418, Acc.sea: 0.8339, Acc.mirror: 0.8029, Acc.rug: 0.7689, Acc.field: 0.7892, Acc.armchair: 0.6941, Acc.seat: 0.8170, Acc.fence: 0.7429, Acc.desk: 0.6906, Acc.rock: 0.6693, Acc.wardrobe: 0.8239, Acc.lamp: 0.7372, Acc.bathtub: 0.9206, Acc.railing: 0.4606, Acc.cushion: 0.7367, Acc.base: 0.4888, Acc.box: 0.3934, Acc.column: 0.5300, Acc.signboard: 0.4558, Acc.chest of drawers: 0.6397, Acc.counter: 0.5013, Acc.sand: 0.8393, Acc.sink: 0.8779, Acc.skyscraper: 0.7199, Acc.fireplace: 0.9536, Acc.refrigerator: 0.8414, Acc.grandstand: 0.8100, Acc.path: 0.3519, Acc.stairs: 0.3990, Acc.runway: 0.9490, Acc.case: 0.8950, Acc.pool table: 0.9792, Acc.pillow: 0.7355, Acc.screen door: 0.9427, Acc.stairway: 0.6298, Acc.river: 0.4741, Acc.bridge: 0.8734, Acc.bookcase: 0.4815, Acc.blind: 0.5530, Acc.coffee table: 0.8679, Acc.toilet: 0.9331, Acc.flower: 0.5921, Acc.book: 0.6915, Acc.hill: 0.0854, Acc.bench: 0.7391, Acc.countertop: 0.7027, Acc.stove: 0.8627, Acc.palm: 0.7401, Acc.kitchen island: 0.6187, Acc.computer: 0.8903, Acc.swivel chair: 0.5390, Acc.boat: 0.5547, Acc.bar: 0.8041, Acc.arcade machine: 0.8475, Acc.hovel: 0.5370, Acc.bus: 0.9587, Acc.towel: 0.8097, Acc.light: 0.5875, Acc.truck: 0.5194, Acc.tower: 0.5958, Acc.chandelier: 0.8322, Acc.awning: 0.4393, Acc.streetlight: 0.3156, Acc.booth: 0.4711, Acc.television receiver: 0.8635, Acc.airplane: 0.8182, Acc.dirt track: 0.2639, Acc.apparel: 0.6506, Acc.pole: 0.2379, Acc.land: 0.1416, Acc.bannister: 0.2059, Acc.escalator: 0.7604, Acc.ottoman: 0.7698, Acc.bottle: 0.2629, Acc.buffet: 0.4299, Acc.poster: 0.3718, Acc.stage: 0.3442, Acc.van: 0.2802, Acc.ship: 0.9832, Acc.fountain: 0.4670, Acc.conveyer belt: 0.9063, Acc.canopy: 0.7071, Acc.washer: 0.8518, Acc.plaything: 0.4528, Acc.swimming pool: 0.8632, Acc.stool: 0.5646, Acc.barrel: 0.6514, Acc.basket: 0.4552, Acc.waterfall: 0.8347, Acc.tent: 0.9841, Acc.bag: 0.2599, Acc.minibike: 0.8246, Acc.cradle: 0.9879, Acc.oven: 0.6873, Acc.ball: 0.3907, Acc.food: 0.8154, Acc.step: 0.0609, Acc.tank: 0.6504, Acc.trade name: 0.3069, Acc.microwave: 0.9118, Acc.pot: 0.6923, Acc.animal: 0.7619, Acc.bicycle: 0.8201, Acc.lake: 0.0091, Acc.dishwasher: 0.7795, Acc.screen: 0.8769, Acc.blanket: 0.1117, Acc.sculpture: 0.7522, Acc.hood: 0.7217, Acc.sconce: 0.6439, Acc.vase: 0.5859, Acc.traffic light: 0.4744, Acc.tray: 0.0822, Acc.ashcan: 0.5916, Acc.fan: 0.7922, Acc.pier: 0.6263, Acc.crt screen: 0.0062, Acc.plate: 0.7029, Acc.monitor: 0.3709, Acc.bulletin board: 0.8157, Acc.shower: 0.0094, Acc.radiator: 0.7658, Acc.glass: 0.1602, Acc.clock: 0.3865, Acc.flag: 0.7232 2023-11-02 03:49:37,826 - mmseg - INFO - Iter [5050/80000] lr: 3.035e-06, eta: 1 day, 4:00:17, time: 2.407, data_time: 1.197, memory: 38534, decode.loss_ce: 0.5257, decode.acc_seg: 80.1922, loss: 0.5257 2023-11-02 03:50:41,025 - mmseg - INFO - Iter [5100/80000] lr: 3.033e-06, eta: 1 day, 3:58:11, time: 1.264, data_time: 0.053, memory: 38534, decode.loss_ce: 0.4691, decode.acc_seg: 82.5626, loss: 0.4691 2023-11-02 03:51:41,846 - mmseg - INFO - Iter [5150/80000] lr: 3.031e-06, eta: 1 day, 3:55:30, time: 1.216, data_time: 0.008, memory: 38534, decode.loss_ce: 0.4598, decode.acc_seg: 82.5269, loss: 0.4598 2023-11-02 03:52:42,632 - mmseg - INFO - Iter [5200/80000] lr: 3.029e-06, eta: 1 day, 3:52:52, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.4413, decode.acc_seg: 83.1846, loss: 0.4413 2023-11-02 03:53:43,411 - mmseg - INFO - Iter [5250/80000] lr: 3.027e-06, eta: 1 day, 3:50:15, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.5011, decode.acc_seg: 81.5778, loss: 0.5011 2023-11-02 03:54:44,192 - mmseg - INFO - Iter [5300/80000] lr: 3.025e-06, eta: 1 day, 3:47:39, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.4526, decode.acc_seg: 82.9504, loss: 0.4526 2023-11-02 03:55:44,981 - mmseg - INFO - Iter [5350/80000] lr: 3.023e-06, eta: 1 day, 3:45:06, time: 1.216, data_time: 0.008, memory: 38534, decode.loss_ce: 0.4665, decode.acc_seg: 81.4179, loss: 0.4665 2023-11-02 03:56:45,750 - mmseg - INFO - Iter [5400/80000] lr: 3.021e-06, eta: 1 day, 3:42:34, time: 1.215, data_time: 0.008, memory: 38534, decode.loss_ce: 0.4620, decode.acc_seg: 82.0590, loss: 0.4620 2023-11-02 03:57:46,539 - mmseg - INFO - Iter [5450/80000] lr: 3.019e-06, eta: 1 day, 3:40:04, time: 1.216, data_time: 0.008, memory: 38534, decode.loss_ce: 0.4743, decode.acc_seg: 82.1078, loss: 0.4743 2023-11-02 03:58:47,331 - mmseg - INFO - Iter [5500/80000] lr: 3.017e-06, eta: 1 day, 3:37:36, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.4671, decode.acc_seg: 83.0153, loss: 0.4671 2023-11-02 03:59:48,030 - mmseg - INFO - Iter [5550/80000] lr: 3.015e-06, eta: 1 day, 3:35:08, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.4579, decode.acc_seg: 82.4578, loss: 0.4579 2023-11-02 04:00:48,667 - mmseg - INFO - Iter [5600/80000] lr: 3.013e-06, eta: 1 day, 3:32:41, time: 1.213, data_time: 0.008, memory: 38534, decode.loss_ce: 0.4644, decode.acc_seg: 81.8739, loss: 0.4644 2023-11-02 04:01:49,361 - mmseg - INFO - Iter [5650/80000] lr: 3.011e-06, eta: 1 day, 3:30:16, time: 1.214, data_time: 0.008, memory: 38534, decode.loss_ce: 0.4538, decode.acc_seg: 83.0486, loss: 0.4538 2023-11-02 04:02:50,078 - mmseg - INFO - Iter [5700/80000] lr: 3.009e-06, eta: 1 day, 3:27:53, time: 1.214, data_time: 0.008, memory: 38534, decode.loss_ce: 0.4595, decode.acc_seg: 82.0215, loss: 0.4595 2023-11-02 04:03:50,799 - mmseg - INFO - Iter [5750/80000] lr: 3.007e-06, eta: 1 day, 3:25:31, time: 1.214, data_time: 0.008, memory: 38534, decode.loss_ce: 0.4720, decode.acc_seg: 82.3250, loss: 0.4720 2023-11-02 04:04:51,574 - mmseg - INFO - Iter [5800/80000] lr: 3.005e-06, eta: 1 day, 3:23:12, time: 1.215, data_time: 0.008, memory: 38534, decode.loss_ce: 0.4657, decode.acc_seg: 82.2579, loss: 0.4657 2023-11-02 04:05:52,372 - mmseg - INFO - Iter [5850/80000] lr: 3.003e-06, eta: 1 day, 3:20:54, time: 1.216, data_time: 0.008, memory: 38534, decode.loss_ce: 0.4925, decode.acc_seg: 81.5821, loss: 0.4925 2023-11-02 04:06:53,117 - mmseg - INFO - Iter [5900/80000] lr: 3.001e-06, eta: 1 day, 3:18:37, time: 1.215, data_time: 0.008, memory: 38534, decode.loss_ce: 0.4903, decode.acc_seg: 81.6452, loss: 0.4903 2023-11-02 04:07:53,918 - mmseg - INFO - Iter [5950/80000] lr: 2.999e-06, eta: 1 day, 3:16:21, time: 1.216, data_time: 0.008, memory: 38534, decode.loss_ce: 0.4604, decode.acc_seg: 82.2860, loss: 0.4604 2023-11-02 04:08:54,681 - mmseg - INFO - Saving checkpoint at 6000 iterations 2023-11-02 04:09:48,991 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 04:09:48,991 - mmseg - INFO - Iter [6000/80000] lr: 2.997e-06, eta: 1 day, 3:25:17, time: 2.301, data_time: 0.008, memory: 38534, decode.loss_ce: 0.4998, decode.acc_seg: 80.9879, loss: 0.4998 2023-11-02 04:10:47,622 - mmseg - INFO - per class results: 2023-11-02 04:10:47,627 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 78.56 | 89.57 | | building | 83.31 | 91.7 | | sky | 93.9 | 97.3 | | floor | 82.63 | 91.8 | | tree | 75.88 | 87.59 | | ceiling | 83.59 | 90.6 | | road | 82.38 | 86.57 | | bed | 90.99 | 94.66 | | windowpane | 63.93 | 77.44 | | grass | 64.01 | 81.73 | | cabinet | 61.97 | 69.19 | | sidewalk | 63.94 | 89.56 | | person | 81.88 | 92.04 | | earth | 35.65 | 44.46 | | door | 57.83 | 71.87 | | table | 64.61 | 78.31 | | mountain | 58.56 | 64.77 | | plant | 55.31 | 68.06 | | curtain | 72.57 | 87.07 | | chair | 56.21 | 63.75 | | car | 84.72 | 91.3 | | water | 60.11 | 70.16 | | painting | 76.03 | 83.55 | | sofa | 75.66 | 90.48 | | shelf | 46.15 | 65.45 | | house | 53.22 | 65.35 | | sea | 72.3 | 94.37 | | mirror | 70.21 | 75.95 | | rug | 69.46 | 80.1 | | field | 35.67 | 77.55 | | armchair | 54.64 | 69.82 | | seat | 63.69 | 86.34 | | fence | 48.55 | 70.33 | | desk | 50.69 | 65.09 | | rock | 54.23 | 84.4 | | wardrobe | 54.01 | 78.82 | | lamp | 63.61 | 78.96 | | bathtub | 81.48 | 91.93 | | railing | 42.89 | 62.6 | | cushion | 61.0 | 77.34 | | base | 38.76 | 63.22 | | box | 31.32 | 41.43 | | column | 47.4 | 66.06 | | signboard | 37.22 | 44.47 | | chest of drawers | 49.37 | 69.2 | | counter | 26.67 | 30.12 | | sand | 64.27 | 74.12 | | sink | 74.26 | 82.82 | | skyscraper | 44.15 | 62.46 | | fireplace | 68.31 | 94.21 | | refrigerator | 75.17 | 91.27 | | grandstand | 59.41 | 76.94 | | path | 31.16 | 44.15 | | stairs | 50.16 | 65.64 | | runway | 70.86 | 89.48 | | case | 57.8 | 87.41 | | pool table | 93.17 | 96.57 | | pillow | 63.81 | 80.69 | | screen door | 69.04 | 88.52 | | stairway | 55.29 | 62.43 | | river | 33.87 | 51.31 | | bridge | 75.89 | 85.33 | | bookcase | 36.4 | 51.81 | | blind | 20.36 | 21.61 | | coffee table | 65.51 | 78.47 | | toilet | 86.45 | 91.4 | | flower | 39.57 | 55.18 | | book | 50.43 | 74.94 | | hill | 7.33 | 14.18 | | bench | 54.82 | 60.52 | | countertop | 57.69 | 65.56 | | stove | 78.62 | 85.02 | | palm | 50.27 | 79.12 | | kitchen island | 44.1 | 77.13 | | computer | 75.99 | 90.47 | | swivel chair | 49.13 | 74.55 | | boat | 48.69 | 59.88 | | bar | 59.01 | 85.21 | | arcade machine | 86.51 | 89.91 | | hovel | 45.25 | 52.34 | | bus | 90.3 | 94.72 | | towel | 69.83 | 81.12 | | light | 42.46 | 46.99 | | truck | 29.54 | 35.65 | | tower | 26.13 | 58.63 | | chandelier | 64.11 | 76.46 | | awning | 35.23 | 47.91 | | streetlight | 23.0 | 37.26 | | booth | 49.74 | 69.67 | | television receiver | 70.96 | 85.68 | | airplane | 59.39 | 65.14 | | dirt track | 8.97 | 18.68 | | apparel | 47.95 | 67.89 | | pole | 19.66 | 26.2 | | land | 0.0 | 0.0 | | bannister | 8.5 | 9.63 | | escalator | 62.44 | 82.44 | | ottoman | 50.81 | 73.26 | | bottle | 36.62 | 46.92 | | buffet | 58.88 | 84.53 | | poster | 31.06 | 38.73 | | stage | 16.66 | 25.91 | | van | 44.68 | 55.11 | | ship | 12.8 | 18.67 | | fountain | 47.09 | 48.71 | | conveyer belt | 84.95 | 92.65 | | canopy | 38.42 | 67.94 | | washer | 80.43 | 83.35 | | plaything | 18.92 | 25.73 | | swimming pool | 38.8 | 84.4 | | stool | 41.9 | 51.04 | | barrel | 24.47 | 27.68 | | basket | 42.64 | 57.63 | | waterfall | 53.53 | 70.52 | | tent | 78.04 | 98.02 | | bag | 27.5 | 33.01 | | minibike | 65.5 | 70.84 | | cradle | 83.16 | 95.87 | | oven | 50.84 | 59.57 | | ball | 44.49 | 51.42 | | food | 49.03 | 51.75 | | step | 12.67 | 16.53 | | tank | 61.15 | 67.08 | | trade name | 12.05 | 12.65 | | microwave | 84.02 | 94.75 | | pot | 51.34 | 59.14 | | animal | 75.77 | 80.19 | | bicycle | 55.64 | 75.29 | | lake | 52.62 | 69.6 | | dishwasher | 60.03 | 65.2 | | screen | 60.15 | 88.83 | | blanket | 40.19 | 56.06 | | sculpture | 48.29 | 49.67 | | hood | 65.17 | 68.78 | | sconce | 41.96 | 53.36 | | vase | 41.86 | 53.8 | | traffic light | 30.81 | 44.65 | | tray | 12.46 | 15.45 | | ashcan | 43.94 | 62.43 | | fan | 60.36 | 75.87 | | pier | 35.13 | 43.82 | | crt screen | 5.65 | 5.88 | | plate | 55.78 | 74.35 | | monitor | 60.99 | 69.41 | | bulletin board | 52.2 | 64.0 | | shower | 0.0 | 0.0 | | radiator | 65.04 | 76.83 | | glass | 15.88 | 16.86 | | clock | 38.06 | 42.35 | | flag | 66.01 | 75.54 | +---------------------+-------+-------+ 2023-11-02 04:10:47,627 - mmseg - INFO - Summary: 2023-11-02 04:10:47,627 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 84.19 | 52.89 | 65.53 | +-------+-------+-------+ 2023-11-02 04:10:47,628 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 04:10:47,629 - mmseg - INFO - Iter(val) [250] aAcc: 0.8419, mIoU: 0.5289, mAcc: 0.6553, IoU.wall: 0.7856, IoU.building: 0.8331, IoU.sky: 0.9390, IoU.floor: 0.8263, IoU.tree: 0.7588, IoU.ceiling: 0.8359, IoU.road: 0.8238, IoU.bed : 0.9099, IoU.windowpane: 0.6393, IoU.grass: 0.6401, IoU.cabinet: 0.6197, IoU.sidewalk: 0.6394, IoU.person: 0.8188, IoU.earth: 0.3565, IoU.door: 0.5783, IoU.table: 0.6461, IoU.mountain: 0.5856, IoU.plant: 0.5531, IoU.curtain: 0.7257, IoU.chair: 0.5621, IoU.car: 0.8472, IoU.water: 0.6011, IoU.painting: 0.7603, IoU.sofa: 0.7566, IoU.shelf: 0.4615, IoU.house: 0.5322, IoU.sea: 0.7230, IoU.mirror: 0.7021, IoU.rug: 0.6946, IoU.field: 0.3567, IoU.armchair: 0.5464, IoU.seat: 0.6369, IoU.fence: 0.4855, IoU.desk: 0.5069, IoU.rock: 0.5423, IoU.wardrobe: 0.5401, IoU.lamp: 0.6361, IoU.bathtub: 0.8148, IoU.railing: 0.4289, IoU.cushion: 0.6100, IoU.base: 0.3876, IoU.box: 0.3132, IoU.column: 0.4740, IoU.signboard: 0.3722, IoU.chest of drawers: 0.4937, IoU.counter: 0.2667, IoU.sand: 0.6427, IoU.sink: 0.7426, IoU.skyscraper: 0.4415, IoU.fireplace: 0.6831, IoU.refrigerator: 0.7517, IoU.grandstand: 0.5941, IoU.path: 0.3116, IoU.stairs: 0.5016, IoU.runway: 0.7086, IoU.case: 0.5780, IoU.pool table: 0.9317, IoU.pillow: 0.6381, IoU.screen door: 0.6904, IoU.stairway: 0.5529, IoU.river: 0.3387, IoU.bridge: 0.7589, IoU.bookcase: 0.3640, IoU.blind: 0.2036, IoU.coffee table: 0.6551, IoU.toilet: 0.8645, IoU.flower: 0.3957, IoU.book: 0.5043, IoU.hill: 0.0733, IoU.bench: 0.5482, IoU.countertop: 0.5769, IoU.stove: 0.7862, IoU.palm: 0.5027, IoU.kitchen island: 0.4410, IoU.computer: 0.7599, IoU.swivel chair: 0.4913, IoU.boat: 0.4869, IoU.bar: 0.5901, IoU.arcade machine: 0.8651, IoU.hovel: 0.4525, IoU.bus: 0.9030, IoU.towel: 0.6983, IoU.light: 0.4246, IoU.truck: 0.2954, IoU.tower: 0.2613, IoU.chandelier: 0.6411, IoU.awning: 0.3523, IoU.streetlight: 0.2300, IoU.booth: 0.4974, IoU.television receiver: 0.7096, IoU.airplane: 0.5939, IoU.dirt track: 0.0897, IoU.apparel: 0.4795, IoU.pole: 0.1966, IoU.land: 0.0000, IoU.bannister: 0.0850, IoU.escalator: 0.6244, IoU.ottoman: 0.5081, IoU.bottle: 0.3662, IoU.buffet: 0.5888, IoU.poster: 0.3106, IoU.stage: 0.1666, IoU.van: 0.4468, IoU.ship: 0.1280, IoU.fountain: 0.4709, IoU.conveyer belt: 0.8495, IoU.canopy: 0.3842, IoU.washer: 0.8043, IoU.plaything: 0.1892, IoU.swimming pool: 0.3880, IoU.stool: 0.4190, IoU.barrel: 0.2447, IoU.basket: 0.4264, IoU.waterfall: 0.5353, IoU.tent: 0.7804, IoU.bag: 0.2750, IoU.minibike: 0.6550, IoU.cradle: 0.8316, IoU.oven: 0.5084, IoU.ball: 0.4449, IoU.food: 0.4903, IoU.step: 0.1267, IoU.tank: 0.6115, IoU.trade name: 0.1205, IoU.microwave: 0.8402, IoU.pot: 0.5134, IoU.animal: 0.7577, IoU.bicycle: 0.5564, IoU.lake: 0.5262, IoU.dishwasher: 0.6003, IoU.screen: 0.6015, IoU.blanket: 0.4019, IoU.sculpture: 0.4829, IoU.hood: 0.6517, IoU.sconce: 0.4196, IoU.vase: 0.4186, IoU.traffic light: 0.3081, IoU.tray: 0.1246, IoU.ashcan: 0.4394, IoU.fan: 0.6036, IoU.pier: 0.3513, IoU.crt screen: 0.0565, IoU.plate: 0.5578, IoU.monitor: 0.6099, IoU.bulletin board: 0.5220, IoU.shower: 0.0000, IoU.radiator: 0.6504, IoU.glass: 0.1588, IoU.clock: 0.3806, IoU.flag: 0.6601, Acc.wall: 0.8957, Acc.building: 0.9170, Acc.sky: 0.9730, Acc.floor: 0.9180, Acc.tree: 0.8759, Acc.ceiling: 0.9060, Acc.road: 0.8657, Acc.bed : 0.9466, Acc.windowpane: 0.7744, Acc.grass: 0.8173, Acc.cabinet: 0.6919, Acc.sidewalk: 0.8956, Acc.person: 0.9204, Acc.earth: 0.4446, Acc.door: 0.7187, Acc.table: 0.7831, Acc.mountain: 0.6477, Acc.plant: 0.6806, Acc.curtain: 0.8707, Acc.chair: 0.6375, Acc.car: 0.9130, Acc.water: 0.7016, Acc.painting: 0.8355, Acc.sofa: 0.9048, Acc.shelf: 0.6545, Acc.house: 0.6535, Acc.sea: 0.9437, Acc.mirror: 0.7595, Acc.rug: 0.8010, Acc.field: 0.7755, Acc.armchair: 0.6982, Acc.seat: 0.8634, Acc.fence: 0.7033, Acc.desk: 0.6509, Acc.rock: 0.8440, Acc.wardrobe: 0.7882, Acc.lamp: 0.7896, Acc.bathtub: 0.9193, Acc.railing: 0.6260, Acc.cushion: 0.7734, Acc.base: 0.6322, Acc.box: 0.4143, Acc.column: 0.6606, Acc.signboard: 0.4447, Acc.chest of drawers: 0.6920, Acc.counter: 0.3012, Acc.sand: 0.7412, Acc.sink: 0.8282, Acc.skyscraper: 0.6246, Acc.fireplace: 0.9421, Acc.refrigerator: 0.9127, Acc.grandstand: 0.7694, Acc.path: 0.4415, Acc.stairs: 0.6564, Acc.runway: 0.8948, Acc.case: 0.8741, Acc.pool table: 0.9657, Acc.pillow: 0.8069, Acc.screen door: 0.8852, Acc.stairway: 0.6243, Acc.river: 0.5131, Acc.bridge: 0.8533, Acc.bookcase: 0.5181, Acc.blind: 0.2161, Acc.coffee table: 0.7847, Acc.toilet: 0.9140, Acc.flower: 0.5518, Acc.book: 0.7494, Acc.hill: 0.1418, Acc.bench: 0.6052, Acc.countertop: 0.6556, Acc.stove: 0.8502, Acc.palm: 0.7912, Acc.kitchen island: 0.7713, Acc.computer: 0.9047, Acc.swivel chair: 0.7455, Acc.boat: 0.5988, Acc.bar: 0.8521, Acc.arcade machine: 0.8991, Acc.hovel: 0.5234, Acc.bus: 0.9472, Acc.towel: 0.8112, Acc.light: 0.4699, Acc.truck: 0.3565, Acc.tower: 0.5863, Acc.chandelier: 0.7646, Acc.awning: 0.4791, Acc.streetlight: 0.3726, Acc.booth: 0.6967, Acc.television receiver: 0.8568, Acc.airplane: 0.6514, Acc.dirt track: 0.1868, Acc.apparel: 0.6789, Acc.pole: 0.2620, Acc.land: 0.0000, Acc.bannister: 0.0963, Acc.escalator: 0.8244, Acc.ottoman: 0.7326, Acc.bottle: 0.4692, Acc.buffet: 0.8453, Acc.poster: 0.3873, Acc.stage: 0.2591, Acc.van: 0.5511, Acc.ship: 0.1867, Acc.fountain: 0.4871, Acc.conveyer belt: 0.9265, Acc.canopy: 0.6794, Acc.washer: 0.8335, Acc.plaything: 0.2573, Acc.swimming pool: 0.8440, Acc.stool: 0.5104, Acc.barrel: 0.2768, Acc.basket: 0.5763, Acc.waterfall: 0.7052, Acc.tent: 0.9802, Acc.bag: 0.3301, Acc.minibike: 0.7084, Acc.cradle: 0.9587, Acc.oven: 0.5957, Acc.ball: 0.5142, Acc.food: 0.5175, Acc.step: 0.1653, Acc.tank: 0.6708, Acc.trade name: 0.1265, Acc.microwave: 0.9475, Acc.pot: 0.5914, Acc.animal: 0.8019, Acc.bicycle: 0.7529, Acc.lake: 0.6960, Acc.dishwasher: 0.6520, Acc.screen: 0.8883, Acc.blanket: 0.5606, Acc.sculpture: 0.4967, Acc.hood: 0.6878, Acc.sconce: 0.5336, Acc.vase: 0.5380, Acc.traffic light: 0.4465, Acc.tray: 0.1545, Acc.ashcan: 0.6243, Acc.fan: 0.7587, Acc.pier: 0.4382, Acc.crt screen: 0.0588, Acc.plate: 0.7435, Acc.monitor: 0.6941, Acc.bulletin board: 0.6400, Acc.shower: 0.0000, Acc.radiator: 0.7683, Acc.glass: 0.1686, Acc.clock: 0.4235, Acc.flag: 0.7554 2023-11-02 04:11:48,516 - mmseg - INFO - Iter [6050/80000] lr: 2.995e-06, eta: 1 day, 3:34:56, time: 2.391, data_time: 1.181, memory: 38534, decode.loss_ce: 0.4710, decode.acc_seg: 82.2070, loss: 0.4710 2023-11-02 04:12:49,317 - mmseg - INFO - Iter [6100/80000] lr: 2.993e-06, eta: 1 day, 3:32:32, time: 1.216, data_time: 0.008, memory: 38534, decode.loss_ce: 0.4754, decode.acc_seg: 81.9744, loss: 0.4754 2023-11-02 04:13:50,070 - mmseg - INFO - Iter [6150/80000] lr: 2.991e-06, eta: 1 day, 3:30:09, time: 1.215, data_time: 0.008, memory: 38534, decode.loss_ce: 0.4959, decode.acc_seg: 81.6861, loss: 0.4959 2023-11-02 04:14:50,877 - mmseg - INFO - Iter [6200/80000] lr: 2.989e-06, eta: 1 day, 3:27:47, time: 1.216, data_time: 0.008, memory: 38534, decode.loss_ce: 0.4853, decode.acc_seg: 81.5887, loss: 0.4853 2023-11-02 04:15:51,683 - mmseg - INFO - Iter [6250/80000] lr: 2.987e-06, eta: 1 day, 3:25:27, time: 1.216, data_time: 0.008, memory: 38534, decode.loss_ce: 0.4724, decode.acc_seg: 81.9615, loss: 0.4724 2023-11-02 04:16:52,443 - mmseg - INFO - Iter [6300/80000] lr: 2.985e-06, eta: 1 day, 3:23:08, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.4655, decode.acc_seg: 81.9895, loss: 0.4655 2023-11-02 04:17:55,627 - mmseg - INFO - Iter [6350/80000] lr: 2.983e-06, eta: 1 day, 3:21:18, time: 1.264, data_time: 0.055, memory: 38534, decode.loss_ce: 0.4342, decode.acc_seg: 83.1341, loss: 0.4342 2023-11-02 04:18:56,430 - mmseg - INFO - Iter [6400/80000] lr: 2.981e-06, eta: 1 day, 3:19:02, time: 1.216, data_time: 0.008, memory: 38534, decode.loss_ce: 0.4278, decode.acc_seg: 83.6846, loss: 0.4278 2023-11-02 04:19:57,195 - mmseg - INFO - Iter [6450/80000] lr: 2.979e-06, eta: 1 day, 3:16:46, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.4494, decode.acc_seg: 82.9325, loss: 0.4494 2023-11-02 04:20:57,985 - mmseg - INFO - Iter [6500/80000] lr: 2.977e-06, eta: 1 day, 3:14:32, time: 1.216, data_time: 0.008, memory: 38534, decode.loss_ce: 0.4497, decode.acc_seg: 83.1880, loss: 0.4497 2023-11-02 04:21:58,753 - mmseg - INFO - Iter [6550/80000] lr: 2.975e-06, eta: 1 day, 3:12:19, time: 1.215, data_time: 0.008, memory: 38534, decode.loss_ce: 0.4357, decode.acc_seg: 83.1736, loss: 0.4357 2023-11-02 04:22:59,523 - mmseg - INFO - Iter [6600/80000] lr: 2.973e-06, eta: 1 day, 3:10:06, time: 1.215, data_time: 0.008, memory: 38534, decode.loss_ce: 0.4114, decode.acc_seg: 84.6149, loss: 0.4114 2023-11-02 04:24:00,288 - mmseg - INFO - Iter [6650/80000] lr: 2.971e-06, eta: 1 day, 3:07:55, time: 1.215, data_time: 0.008, memory: 38534, decode.loss_ce: 0.4151, decode.acc_seg: 84.0087, loss: 0.4151 2023-11-02 04:25:01,066 - mmseg - INFO - Iter [6700/80000] lr: 2.968e-06, eta: 1 day, 3:05:45, time: 1.216, data_time: 0.008, memory: 38534, decode.loss_ce: 0.4423, decode.acc_seg: 82.7122, loss: 0.4423 2023-11-02 04:26:01,858 - mmseg - INFO - Iter [6750/80000] lr: 2.966e-06, eta: 1 day, 3:03:36, time: 1.216, data_time: 0.008, memory: 38534, decode.loss_ce: 0.4470, decode.acc_seg: 82.8764, loss: 0.4470 2023-11-02 04:27:02,610 - mmseg - INFO - Iter [6800/80000] lr: 2.964e-06, eta: 1 day, 3:01:28, time: 1.215, data_time: 0.008, memory: 38534, decode.loss_ce: 0.4249, decode.acc_seg: 83.8366, loss: 0.4249 2023-11-02 04:28:03,399 - mmseg - INFO - Iter [6850/80000] lr: 2.962e-06, eta: 1 day, 2:59:21, time: 1.216, data_time: 0.008, memory: 38534, decode.loss_ce: 0.4344, decode.acc_seg: 83.4416, loss: 0.4344 2023-11-02 04:29:04,200 - mmseg - INFO - Iter [6900/80000] lr: 2.960e-06, eta: 1 day, 2:57:15, time: 1.216, data_time: 0.008, memory: 38534, decode.loss_ce: 0.4451, decode.acc_seg: 83.0258, loss: 0.4451 2023-11-02 04:30:04,992 - mmseg - INFO - Iter [6950/80000] lr: 2.958e-06, eta: 1 day, 2:55:10, time: 1.216, data_time: 0.008, memory: 38534, decode.loss_ce: 0.4117, decode.acc_seg: 84.1375, loss: 0.4117 2023-11-02 04:31:05,757 - mmseg - INFO - Saving checkpoint at 7000 iterations 2023-11-02 04:32:03,533 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 04:32:03,533 - mmseg - INFO - Iter [7000/80000] lr: 2.956e-06, eta: 1 day, 3:03:08, time: 2.371, data_time: 0.008, memory: 38534, decode.loss_ce: 0.4443, decode.acc_seg: 83.3563, loss: 0.4443 2023-11-02 04:33:01,612 - mmseg - INFO - per class results: 2023-11-02 04:33:01,617 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 79.27 | 87.69 | | building | 83.96 | 90.99 | | sky | 93.91 | 96.46 | | floor | 83.71 | 89.67 | | tree | 75.82 | 89.62 | | ceiling | 85.16 | 92.16 | | road | 83.86 | 88.31 | | bed | 90.87 | 95.4 | | windowpane | 62.9 | 72.07 | | grass | 68.09 | 78.86 | | cabinet | 63.53 | 73.62 | | sidewalk | 65.27 | 88.52 | | person | 82.26 | 92.41 | | earth | 37.11 | 48.29 | | door | 56.14 | 79.93 | | table | 63.86 | 79.41 | | mountain | 61.22 | 75.65 | | plant | 57.79 | 77.36 | | curtain | 76.57 | 90.11 | | chair | 56.36 | 67.14 | | car | 84.37 | 94.2 | | water | 59.78 | 77.73 | | painting | 73.28 | 87.62 | | sofa | 75.78 | 85.62 | | shelf | 46.95 | 63.6 | | house | 53.99 | 83.07 | | sea | 64.67 | 91.35 | | mirror | 73.69 | 81.32 | | rug | 69.32 | 79.29 | | field | 38.35 | 77.81 | | armchair | 50.66 | 79.91 | | seat | 64.18 | 88.64 | | fence | 52.48 | 72.1 | | desk | 51.35 | 76.09 | | rock | 56.1 | 71.72 | | wardrobe | 53.47 | 63.23 | | lamp | 62.91 | 82.48 | | bathtub | 84.5 | 88.68 | | railing | 42.38 | 64.02 | | cushion | 59.25 | 79.04 | | base | 45.77 | 61.43 | | box | 34.16 | 48.38 | | column | 48.65 | 64.89 | | signboard | 40.58 | 54.39 | | chest of drawers | 47.15 | 73.6 | | counter | 46.74 | 71.35 | | sand | 43.63 | 58.93 | | sink | 76.93 | 83.67 | | skyscraper | 43.51 | 46.36 | | fireplace | 74.45 | 91.29 | | refrigerator | 78.8 | 88.29 | | grandstand | 47.76 | 83.65 | | path | 18.98 | 23.41 | | stairs | 36.71 | 41.99 | | runway | 73.55 | 94.79 | | case | 49.54 | 73.34 | | pool table | 92.03 | 97.78 | | pillow | 61.5 | 71.17 | | screen door | 64.62 | 71.6 | | stairway | 50.58 | 59.89 | | river | 19.06 | 21.14 | | bridge | 72.35 | 83.34 | | bookcase | 32.85 | 43.39 | | blind | 40.46 | 48.29 | | coffee table | 63.05 | 87.04 | | toilet | 87.23 | 92.2 | | flower | 36.19 | 40.58 | | book | 49.2 | 81.46 | | hill | 9.67 | 17.21 | | bench | 59.41 | 67.11 | | countertop | 56.46 | 80.25 | | stove | 78.54 | 93.43 | | palm | 45.9 | 90.55 | | kitchen island | 39.47 | 77.31 | | computer | 71.34 | 92.34 | | swivel chair | 48.14 | 72.57 | | boat | 51.82 | 88.3 | | bar | 69.39 | 78.59 | | arcade machine | 79.23 | 85.9 | | hovel | 7.43 | 7.86 | | bus | 89.53 | 96.3 | | towel | 69.68 | 81.82 | | light | 46.01 | 53.75 | | truck | 45.56 | 61.92 | | tower | 14.57 | 26.35 | | chandelier | 66.04 | 83.27 | | awning | 31.88 | 35.72 | | streetlight | 26.5 | 37.77 | | booth | 42.57 | 69.45 | | television receiver | 75.62 | 82.85 | | airplane | 77.17 | 90.05 | | dirt track | 4.19 | 4.2 | | apparel | 52.9 | 70.38 | | pole | 22.62 | 31.6 | | land | 1.27 | 1.94 | | bannister | 15.72 | 24.16 | | escalator | 58.68 | 72.69 | | ottoman | 48.58 | 76.01 | | bottle | 34.21 | 45.48 | | buffet | 45.06 | 64.59 | | poster | 28.75 | 33.83 | | stage | 15.83 | 45.71 | | van | 34.6 | 41.13 | | ship | 77.01 | 81.12 | | fountain | 41.94 | 43.19 | | conveyer belt | 84.73 | 94.57 | | canopy | 53.68 | 75.02 | | washer | 82.69 | 87.27 | | plaything | 28.01 | 34.69 | | swimming pool | 70.18 | 82.41 | | stool | 38.94 | 68.35 | | barrel | 60.97 | 89.17 | | basket | 39.03 | 60.87 | | waterfall | 50.96 | 60.4 | | tent | 96.35 | 97.0 | | bag | 26.81 | 33.52 | | minibike | 70.76 | 85.47 | | cradle | 80.45 | 98.2 | | oven | 48.13 | 51.38 | | ball | 28.39 | 30.66 | | food | 54.37 | 58.09 | | step | 12.47 | 13.51 | | tank | 59.28 | 71.23 | | trade name | 29.91 | 34.84 | | microwave | 85.79 | 94.63 | | pot | 53.75 | 63.84 | | animal | 77.23 | 83.69 | | bicycle | 57.76 | 87.64 | | lake | 44.69 | 44.69 | | dishwasher | 63.42 | 82.27 | | screen | 50.04 | 95.02 | | blanket | 13.22 | 14.55 | | sculpture | 66.52 | 83.61 | | hood | 63.2 | 75.48 | | sconce | 47.55 | 64.14 | | vase | 42.14 | 60.12 | | traffic light | 29.68 | 55.05 | | tray | 10.6 | 11.82 | | ashcan | 44.66 | 67.42 | | fan | 50.88 | 89.93 | | pier | 35.11 | 38.04 | | crt screen | 0.13 | 0.25 | | plate | 52.57 | 80.15 | | monitor | 28.33 | 35.62 | | bulletin board | 55.27 | 59.78 | | shower | 0.11 | 0.8 | | radiator | 64.1 | 79.95 | | glass | 17.4 | 18.75 | | clock | 38.61 | 46.71 | | flag | 65.55 | 73.05 | +---------------------+-------+-------+ 2023-11-02 04:33:01,617 - mmseg - INFO - Summary: 2023-11-02 04:33:01,618 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 84.46 | 53.19 | 66.93 | +-------+-------+-------+ 2023-11-02 04:33:01,619 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 04:33:01,619 - mmseg - INFO - Iter(val) [250] aAcc: 0.8446, mIoU: 0.5319, mAcc: 0.6693, IoU.wall: 0.7927, IoU.building: 0.8396, IoU.sky: 0.9391, IoU.floor: 0.8371, IoU.tree: 0.7582, IoU.ceiling: 0.8516, IoU.road: 0.8386, IoU.bed : 0.9087, IoU.windowpane: 0.6290, IoU.grass: 0.6809, IoU.cabinet: 0.6353, IoU.sidewalk: 0.6527, IoU.person: 0.8226, IoU.earth: 0.3711, IoU.door: 0.5614, IoU.table: 0.6386, IoU.mountain: 0.6122, IoU.plant: 0.5779, IoU.curtain: 0.7657, IoU.chair: 0.5636, IoU.car: 0.8437, IoU.water: 0.5978, IoU.painting: 0.7328, IoU.sofa: 0.7578, IoU.shelf: 0.4695, IoU.house: 0.5399, IoU.sea: 0.6467, IoU.mirror: 0.7369, IoU.rug: 0.6932, IoU.field: 0.3835, IoU.armchair: 0.5066, IoU.seat: 0.6418, IoU.fence: 0.5248, IoU.desk: 0.5135, IoU.rock: 0.5610, IoU.wardrobe: 0.5347, IoU.lamp: 0.6291, IoU.bathtub: 0.8450, IoU.railing: 0.4238, IoU.cushion: 0.5925, IoU.base: 0.4577, IoU.box: 0.3416, IoU.column: 0.4865, IoU.signboard: 0.4058, IoU.chest of drawers: 0.4715, IoU.counter: 0.4674, IoU.sand: 0.4363, IoU.sink: 0.7693, IoU.skyscraper: 0.4351, IoU.fireplace: 0.7445, IoU.refrigerator: 0.7880, IoU.grandstand: 0.4776, IoU.path: 0.1898, IoU.stairs: 0.3671, IoU.runway: 0.7355, IoU.case: 0.4954, IoU.pool table: 0.9203, IoU.pillow: 0.6150, IoU.screen door: 0.6462, IoU.stairway: 0.5058, IoU.river: 0.1906, IoU.bridge: 0.7235, IoU.bookcase: 0.3285, IoU.blind: 0.4046, IoU.coffee table: 0.6305, IoU.toilet: 0.8723, IoU.flower: 0.3619, IoU.book: 0.4920, IoU.hill: 0.0967, IoU.bench: 0.5941, IoU.countertop: 0.5646, IoU.stove: 0.7854, IoU.palm: 0.4590, IoU.kitchen island: 0.3947, IoU.computer: 0.7134, IoU.swivel chair: 0.4814, IoU.boat: 0.5182, IoU.bar: 0.6939, IoU.arcade machine: 0.7923, IoU.hovel: 0.0743, IoU.bus: 0.8953, IoU.towel: 0.6968, IoU.light: 0.4601, IoU.truck: 0.4556, IoU.tower: 0.1457, IoU.chandelier: 0.6604, IoU.awning: 0.3188, IoU.streetlight: 0.2650, IoU.booth: 0.4257, IoU.television receiver: 0.7562, IoU.airplane: 0.7717, IoU.dirt track: 0.0419, IoU.apparel: 0.5290, IoU.pole: 0.2262, IoU.land: 0.0127, IoU.bannister: 0.1572, IoU.escalator: 0.5868, IoU.ottoman: 0.4858, IoU.bottle: 0.3421, IoU.buffet: 0.4506, IoU.poster: 0.2875, IoU.stage: 0.1583, IoU.van: 0.3460, IoU.ship: 0.7701, IoU.fountain: 0.4194, IoU.conveyer belt: 0.8473, IoU.canopy: 0.5368, IoU.washer: 0.8269, IoU.plaything: 0.2801, IoU.swimming pool: 0.7018, IoU.stool: 0.3894, IoU.barrel: 0.6097, IoU.basket: 0.3903, IoU.waterfall: 0.5096, IoU.tent: 0.9635, IoU.bag: 0.2681, IoU.minibike: 0.7076, IoU.cradle: 0.8045, IoU.oven: 0.4813, IoU.ball: 0.2839, IoU.food: 0.5437, IoU.step: 0.1247, IoU.tank: 0.5928, IoU.trade name: 0.2991, IoU.microwave: 0.8579, IoU.pot: 0.5375, IoU.animal: 0.7723, IoU.bicycle: 0.5776, IoU.lake: 0.4469, IoU.dishwasher: 0.6342, IoU.screen: 0.5004, IoU.blanket: 0.1322, IoU.sculpture: 0.6652, IoU.hood: 0.6320, IoU.sconce: 0.4755, IoU.vase: 0.4214, IoU.traffic light: 0.2968, IoU.tray: 0.1060, IoU.ashcan: 0.4466, IoU.fan: 0.5088, IoU.pier: 0.3511, IoU.crt screen: 0.0013, IoU.plate: 0.5257, IoU.monitor: 0.2833, IoU.bulletin board: 0.5527, IoU.shower: 0.0011, IoU.radiator: 0.6410, IoU.glass: 0.1740, IoU.clock: 0.3861, IoU.flag: 0.6555, Acc.wall: 0.8769, Acc.building: 0.9099, Acc.sky: 0.9646, Acc.floor: 0.8967, Acc.tree: 0.8962, Acc.ceiling: 0.9216, Acc.road: 0.8831, Acc.bed : 0.9540, Acc.windowpane: 0.7207, Acc.grass: 0.7886, Acc.cabinet: 0.7362, Acc.sidewalk: 0.8852, Acc.person: 0.9241, Acc.earth: 0.4829, Acc.door: 0.7993, Acc.table: 0.7941, Acc.mountain: 0.7565, Acc.plant: 0.7736, Acc.curtain: 0.9011, Acc.chair: 0.6714, Acc.car: 0.9420, Acc.water: 0.7773, Acc.painting: 0.8762, Acc.sofa: 0.8562, Acc.shelf: 0.6360, Acc.house: 0.8307, Acc.sea: 0.9135, Acc.mirror: 0.8132, Acc.rug: 0.7929, Acc.field: 0.7781, Acc.armchair: 0.7991, Acc.seat: 0.8864, Acc.fence: 0.7210, Acc.desk: 0.7609, Acc.rock: 0.7172, Acc.wardrobe: 0.6323, Acc.lamp: 0.8248, Acc.bathtub: 0.8868, Acc.railing: 0.6402, Acc.cushion: 0.7904, Acc.base: 0.6143, Acc.box: 0.4838, Acc.column: 0.6489, Acc.signboard: 0.5439, Acc.chest of drawers: 0.7360, Acc.counter: 0.7135, Acc.sand: 0.5893, Acc.sink: 0.8367, Acc.skyscraper: 0.4636, Acc.fireplace: 0.9129, Acc.refrigerator: 0.8829, Acc.grandstand: 0.8365, Acc.path: 0.2341, Acc.stairs: 0.4199, Acc.runway: 0.9479, Acc.case: 0.7334, Acc.pool table: 0.9778, Acc.pillow: 0.7117, Acc.screen door: 0.7160, Acc.stairway: 0.5989, Acc.river: 0.2114, Acc.bridge: 0.8334, Acc.bookcase: 0.4339, Acc.blind: 0.4829, Acc.coffee table: 0.8704, Acc.toilet: 0.9220, Acc.flower: 0.4058, Acc.book: 0.8146, Acc.hill: 0.1721, Acc.bench: 0.6711, Acc.countertop: 0.8025, Acc.stove: 0.9343, Acc.palm: 0.9055, Acc.kitchen island: 0.7731, Acc.computer: 0.9234, Acc.swivel chair: 0.7257, Acc.boat: 0.8830, Acc.bar: 0.7859, Acc.arcade machine: 0.8590, Acc.hovel: 0.0786, Acc.bus: 0.9630, Acc.towel: 0.8182, Acc.light: 0.5375, Acc.truck: 0.6192, Acc.tower: 0.2635, Acc.chandelier: 0.8327, Acc.awning: 0.3572, Acc.streetlight: 0.3777, Acc.booth: 0.6945, Acc.television receiver: 0.8285, Acc.airplane: 0.9005, Acc.dirt track: 0.0420, Acc.apparel: 0.7038, Acc.pole: 0.3160, Acc.land: 0.0194, Acc.bannister: 0.2416, Acc.escalator: 0.7269, Acc.ottoman: 0.7601, Acc.bottle: 0.4548, Acc.buffet: 0.6459, Acc.poster: 0.3383, Acc.stage: 0.4571, Acc.van: 0.4113, Acc.ship: 0.8112, Acc.fountain: 0.4319, Acc.conveyer belt: 0.9457, Acc.canopy: 0.7502, Acc.washer: 0.8727, Acc.plaything: 0.3469, Acc.swimming pool: 0.8241, Acc.stool: 0.6835, Acc.barrel: 0.8917, Acc.basket: 0.6087, Acc.waterfall: 0.6040, Acc.tent: 0.9700, Acc.bag: 0.3352, Acc.minibike: 0.8547, Acc.cradle: 0.9820, Acc.oven: 0.5138, Acc.ball: 0.3066, Acc.food: 0.5809, Acc.step: 0.1351, Acc.tank: 0.7123, Acc.trade name: 0.3484, Acc.microwave: 0.9463, Acc.pot: 0.6384, Acc.animal: 0.8369, Acc.bicycle: 0.8764, Acc.lake: 0.4469, Acc.dishwasher: 0.8227, Acc.screen: 0.9502, Acc.blanket: 0.1455, Acc.sculpture: 0.8361, Acc.hood: 0.7548, Acc.sconce: 0.6414, Acc.vase: 0.6012, Acc.traffic light: 0.5505, Acc.tray: 0.1182, Acc.ashcan: 0.6742, Acc.fan: 0.8993, Acc.pier: 0.3804, Acc.crt screen: 0.0025, Acc.plate: 0.8015, Acc.monitor: 0.3562, Acc.bulletin board: 0.5978, Acc.shower: 0.0080, Acc.radiator: 0.7995, Acc.glass: 0.1875, Acc.clock: 0.4671, Acc.flag: 0.7305 2023-11-02 04:34:02,535 - mmseg - INFO - Iter [7050/80000] lr: 2.954e-06, eta: 1 day, 3:11:02, time: 2.380, data_time: 1.170, memory: 38534, decode.loss_ce: 0.4178, decode.acc_seg: 83.4992, loss: 0.4178 2023-11-02 04:35:03,370 - mmseg - INFO - Iter [7100/80000] lr: 2.952e-06, eta: 1 day, 3:08:51, time: 1.217, data_time: 0.008, memory: 38534, decode.loss_ce: 0.4450, decode.acc_seg: 83.2114, loss: 0.4450 2023-11-02 04:36:04,158 - mmseg - INFO - Iter [7150/80000] lr: 2.950e-06, eta: 1 day, 3:06:41, time: 1.216, data_time: 0.008, memory: 38534, decode.loss_ce: 0.4313, decode.acc_seg: 83.2088, loss: 0.4313 2023-11-02 04:37:04,968 - mmseg - INFO - Iter [7200/80000] lr: 2.948e-06, eta: 1 day, 3:04:31, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.4667, decode.acc_seg: 81.6923, loss: 0.4667 2023-11-02 04:38:05,780 - mmseg - INFO - Iter [7250/80000] lr: 2.946e-06, eta: 1 day, 3:02:23, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.4332, decode.acc_seg: 83.2287, loss: 0.4332 2023-11-02 04:39:06,547 - mmseg - INFO - Iter [7300/80000] lr: 2.944e-06, eta: 1 day, 3:00:15, time: 1.215, data_time: 0.008, memory: 38534, decode.loss_ce: 0.4188, decode.acc_seg: 83.7315, loss: 0.4188 2023-11-02 04:40:07,408 - mmseg - INFO - Iter [7350/80000] lr: 2.942e-06, eta: 1 day, 2:58:08, time: 1.217, data_time: 0.007, memory: 38534, decode.loss_ce: 0.4695, decode.acc_seg: 82.2771, loss: 0.4695 2023-11-02 04:41:08,200 - mmseg - INFO - Iter [7400/80000] lr: 2.940e-06, eta: 1 day, 2:56:02, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.4666, decode.acc_seg: 82.3976, loss: 0.4666 2023-11-02 04:42:08,987 - mmseg - INFO - Iter [7450/80000] lr: 2.938e-06, eta: 1 day, 2:53:57, time: 1.216, data_time: 0.008, memory: 38534, decode.loss_ce: 0.4575, decode.acc_seg: 83.0675, loss: 0.4575 2023-11-02 04:43:09,787 - mmseg - INFO - Iter [7500/80000] lr: 2.936e-06, eta: 1 day, 2:51:53, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.4414, decode.acc_seg: 82.5519, loss: 0.4414 2023-11-02 04:44:10,555 - mmseg - INFO - Iter [7550/80000] lr: 2.934e-06, eta: 1 day, 2:49:50, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.4480, decode.acc_seg: 82.9268, loss: 0.4480 2023-11-02 04:45:13,759 - mmseg - INFO - Iter [7600/80000] lr: 2.932e-06, eta: 1 day, 2:48:10, time: 1.264, data_time: 0.053, memory: 38534, decode.loss_ce: 0.4231, decode.acc_seg: 83.7485, loss: 0.4231 2023-11-02 04:46:14,606 - mmseg - INFO - Iter [7650/80000] lr: 2.930e-06, eta: 1 day, 2:46:09, time: 1.217, data_time: 0.007, memory: 38534, decode.loss_ce: 0.4193, decode.acc_seg: 83.8416, loss: 0.4193 2023-11-02 04:47:15,443 - mmseg - INFO - Iter [7700/80000] lr: 2.928e-06, eta: 1 day, 2:44:08, time: 1.217, data_time: 0.007, memory: 38534, decode.loss_ce: 0.4061, decode.acc_seg: 84.3476, loss: 0.4061 2023-11-02 04:48:16,239 - mmseg - INFO - Iter [7750/80000] lr: 2.926e-06, eta: 1 day, 2:42:08, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.4133, decode.acc_seg: 83.8664, loss: 0.4133 2023-11-02 04:49:17,072 - mmseg - INFO - Iter [7800/80000] lr: 2.924e-06, eta: 1 day, 2:40:08, time: 1.217, data_time: 0.008, memory: 38534, decode.loss_ce: 0.3932, decode.acc_seg: 84.2678, loss: 0.3932 2023-11-02 04:50:17,885 - mmseg - INFO - Iter [7850/80000] lr: 2.922e-06, eta: 1 day, 2:38:10, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.4004, decode.acc_seg: 84.4259, loss: 0.4004 2023-11-02 04:51:18,675 - mmseg - INFO - Iter [7900/80000] lr: 2.920e-06, eta: 1 day, 2:36:12, time: 1.216, data_time: 0.008, memory: 38534, decode.loss_ce: 0.4143, decode.acc_seg: 83.8632, loss: 0.4143 2023-11-02 04:52:19,472 - mmseg - INFO - Iter [7950/80000] lr: 2.918e-06, eta: 1 day, 2:34:14, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.4139, decode.acc_seg: 84.2635, loss: 0.4139 2023-11-02 04:53:20,281 - mmseg - INFO - Saving checkpoint at 8000 iterations 2023-11-02 04:54:15,213 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 04:54:15,213 - mmseg - INFO - Iter [8000/80000] lr: 2.916e-06, eta: 1 day, 2:40:32, time: 2.315, data_time: 0.007, memory: 38534, decode.loss_ce: 0.4078, decode.acc_seg: 84.3154, loss: 0.4078 2023-11-02 04:55:17,955 - mmseg - INFO - per class results: 2023-11-02 04:55:17,960 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 78.59 | 87.96 | | building | 83.22 | 93.29 | | sky | 94.19 | 96.98 | | floor | 83.48 | 90.17 | | tree | 75.96 | 85.51 | | ceiling | 85.25 | 92.58 | | road | 84.91 | 90.44 | | bed | 90.54 | 96.13 | | windowpane | 65.68 | 79.5 | | grass | 66.87 | 77.32 | | cabinet | 62.46 | 73.15 | | sidewalk | 67.18 | 82.24 | | person | 81.29 | 93.11 | | earth | 39.32 | 52.16 | | door | 56.98 | 78.6 | | table | 66.04 | 81.17 | | mountain | 58.54 | 70.61 | | plant | 55.49 | 66.04 | | curtain | 74.14 | 90.22 | | chair | 60.67 | 74.8 | | car | 84.4 | 94.42 | | water | 61.14 | 77.41 | | painting | 73.5 | 87.02 | | sofa | 68.39 | 95.06 | | shelf | 43.62 | 60.85 | | house | 44.68 | 49.27 | | sea | 69.1 | 90.04 | | mirror | 74.55 | 85.22 | | rug | 71.77 | 81.5 | | field | 32.14 | 68.23 | | armchair | 40.75 | 48.49 | | seat | 63.9 | 85.8 | | fence | 44.66 | 61.44 | | desk | 53.99 | 72.6 | | rock | 49.76 | 72.2 | | wardrobe | 53.99 | 79.9 | | lamp | 64.61 | 76.47 | | bathtub | 88.67 | 92.08 | | railing | 42.53 | 63.44 | | cushion | 62.49 | 72.87 | | base | 41.81 | 66.2 | | box | 34.24 | 46.67 | | column | 48.85 | 57.4 | | signboard | 40.47 | 52.98 | | chest of drawers | 51.88 | 68.88 | | counter | 43.95 | 57.4 | | sand | 54.44 | 74.24 | | sink | 71.87 | 81.66 | | skyscraper | 46.38 | 76.98 | | fireplace | 69.85 | 91.82 | | refrigerator | 77.39 | 90.18 | | grandstand | 49.9 | 85.03 | | path | 27.46 | 35.44 | | stairs | 28.83 | 34.51 | | runway | 70.44 | 90.6 | | case | 55.76 | 72.67 | | pool table | 92.74 | 97.55 | | pillow | 61.08 | 68.26 | | screen door | 16.25 | 16.38 | | stairway | 45.36 | 59.49 | | river | 30.81 | 43.83 | | bridge | 61.9 | 75.9 | | bookcase | 33.99 | 47.6 | | blind | 46.89 | 55.94 | | coffee table | 65.54 | 84.52 | | toilet | 86.69 | 93.65 | | flower | 40.49 | 69.32 | | book | 49.86 | 78.26 | | hill | 10.16 | 18.22 | | bench | 51.94 | 59.02 | | countertop | 62.99 | 77.26 | | stove | 79.57 | 86.77 | | palm | 44.18 | 87.24 | | kitchen island | 49.05 | 85.39 | | computer | 77.81 | 88.96 | | swivel chair | 47.49 | 73.4 | | boat | 43.29 | 44.19 | | bar | 64.02 | 79.35 | | arcade machine | 88.53 | 97.27 | | hovel | 49.05 | 53.81 | | bus | 90.62 | 94.95 | | towel | 69.79 | 79.27 | | light | 45.78 | 51.36 | | truck | 37.03 | 48.82 | | tower | 26.31 | 40.44 | | chandelier | 65.99 | 86.02 | | awning | 34.29 | 42.56 | | streetlight | 26.11 | 43.12 | | booth | 44.67 | 47.62 | | television receiver | 72.43 | 92.5 | | airplane | 78.63 | 90.5 | | dirt track | 11.0 | 16.07 | | apparel | 40.3 | 55.84 | | pole | 18.32 | 22.92 | | land | 0.0 | 0.0 | | bannister | 14.85 | 18.71 | | escalator | 60.31 | 76.02 | | ottoman | 51.84 | 65.06 | | bottle | 40.28 | 56.02 | | buffet | 49.43 | 76.25 | | poster | 32.7 | 40.54 | | stage | 16.75 | 21.32 | | van | 36.53 | 44.27 | | ship | 59.77 | 88.95 | | fountain | 26.04 | 26.81 | | conveyer belt | 70.1 | 97.2 | | canopy | 57.67 | 60.39 | | washer | 80.75 | 83.76 | | plaything | 26.59 | 35.08 | | swimming pool | 58.11 | 85.66 | | stool | 43.94 | 67.67 | | barrel | 45.79 | 66.74 | | basket | 42.68 | 49.86 | | waterfall | 47.12 | 53.61 | | tent | 95.95 | 97.92 | | bag | 19.71 | 21.51 | | minibike | 72.42 | 89.25 | | cradle | 83.8 | 96.6 | | oven | 52.14 | 63.59 | | ball | 52.37 | 69.84 | | food | 65.61 | 79.87 | | step | 18.67 | 22.04 | | tank | 59.61 | 62.63 | | trade name | 32.63 | 43.07 | | microwave | 85.15 | 93.2 | | pot | 52.76 | 61.65 | | animal | 71.64 | 74.28 | | bicycle | 59.57 | 77.43 | | lake | 61.65 | 63.2 | | dishwasher | 73.07 | 78.57 | | screen | 58.95 | 87.29 | | blanket | 23.86 | 28.44 | | sculpture | 70.21 | 78.6 | | hood | 60.36 | 70.78 | | sconce | 50.67 | 65.12 | | vase | 42.41 | 55.29 | | traffic light | 30.2 | 55.4 | | tray | 12.91 | 14.79 | | ashcan | 45.61 | 59.41 | | fan | 60.91 | 74.82 | | pier | 33.06 | 44.08 | | crt screen | 11.5 | 14.71 | | plate | 57.32 | 71.03 | | monitor | 48.61 | 73.26 | | bulletin board | 56.51 | 69.99 | | shower | 0.63 | 3.84 | | radiator | 66.04 | 75.77 | | glass | 15.83 | 16.56 | | clock | 42.54 | 47.62 | | flag | 65.95 | 77.3 | +---------------------+-------+-------+ 2023-11-02 04:55:17,961 - mmseg - INFO - Summary: 2023-11-02 04:55:17,961 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 84.43 | 53.77 | 66.63 | +-------+-------+-------+ 2023-11-02 04:55:17,961 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 04:55:17,962 - mmseg - INFO - Iter(val) [250] aAcc: 0.8443, mIoU: 0.5377, mAcc: 0.6663, IoU.wall: 0.7859, IoU.building: 0.8322, IoU.sky: 0.9419, IoU.floor: 0.8348, IoU.tree: 0.7596, IoU.ceiling: 0.8525, IoU.road: 0.8491, IoU.bed : 0.9054, IoU.windowpane: 0.6568, IoU.grass: 0.6687, IoU.cabinet: 0.6246, IoU.sidewalk: 0.6718, IoU.person: 0.8129, IoU.earth: 0.3932, IoU.door: 0.5698, IoU.table: 0.6604, IoU.mountain: 0.5854, IoU.plant: 0.5549, IoU.curtain: 0.7414, IoU.chair: 0.6067, IoU.car: 0.8440, IoU.water: 0.6114, IoU.painting: 0.7350, IoU.sofa: 0.6839, IoU.shelf: 0.4362, IoU.house: 0.4468, IoU.sea: 0.6910, IoU.mirror: 0.7455, IoU.rug: 0.7177, IoU.field: 0.3214, IoU.armchair: 0.4075, IoU.seat: 0.6390, IoU.fence: 0.4466, IoU.desk: 0.5399, IoU.rock: 0.4976, IoU.wardrobe: 0.5399, IoU.lamp: 0.6461, IoU.bathtub: 0.8867, IoU.railing: 0.4253, IoU.cushion: 0.6249, IoU.base: 0.4181, IoU.box: 0.3424, IoU.column: 0.4885, IoU.signboard: 0.4047, IoU.chest of drawers: 0.5188, IoU.counter: 0.4395, IoU.sand: 0.5444, IoU.sink: 0.7187, IoU.skyscraper: 0.4638, IoU.fireplace: 0.6985, IoU.refrigerator: 0.7739, IoU.grandstand: 0.4990, IoU.path: 0.2746, IoU.stairs: 0.2883, IoU.runway: 0.7044, IoU.case: 0.5576, IoU.pool table: 0.9274, IoU.pillow: 0.6108, IoU.screen door: 0.1625, IoU.stairway: 0.4536, IoU.river: 0.3081, IoU.bridge: 0.6190, IoU.bookcase: 0.3399, IoU.blind: 0.4689, IoU.coffee table: 0.6554, IoU.toilet: 0.8669, IoU.flower: 0.4049, IoU.book: 0.4986, IoU.hill: 0.1016, IoU.bench: 0.5194, IoU.countertop: 0.6299, IoU.stove: 0.7957, IoU.palm: 0.4418, IoU.kitchen island: 0.4905, IoU.computer: 0.7781, IoU.swivel chair: 0.4749, IoU.boat: 0.4329, IoU.bar: 0.6402, IoU.arcade machine: 0.8853, IoU.hovel: 0.4905, IoU.bus: 0.9062, IoU.towel: 0.6979, IoU.light: 0.4578, IoU.truck: 0.3703, IoU.tower: 0.2631, IoU.chandelier: 0.6599, IoU.awning: 0.3429, IoU.streetlight: 0.2611, IoU.booth: 0.4467, IoU.television receiver: 0.7243, IoU.airplane: 0.7863, IoU.dirt track: 0.1100, IoU.apparel: 0.4030, IoU.pole: 0.1832, IoU.land: 0.0000, IoU.bannister: 0.1485, IoU.escalator: 0.6031, IoU.ottoman: 0.5184, IoU.bottle: 0.4028, IoU.buffet: 0.4943, IoU.poster: 0.3270, IoU.stage: 0.1675, IoU.van: 0.3653, IoU.ship: 0.5977, IoU.fountain: 0.2604, IoU.conveyer belt: 0.7010, IoU.canopy: 0.5767, IoU.washer: 0.8075, IoU.plaything: 0.2659, IoU.swimming pool: 0.5811, IoU.stool: 0.4394, IoU.barrel: 0.4579, IoU.basket: 0.4268, IoU.waterfall: 0.4712, IoU.tent: 0.9595, IoU.bag: 0.1971, IoU.minibike: 0.7242, IoU.cradle: 0.8380, IoU.oven: 0.5214, IoU.ball: 0.5237, IoU.food: 0.6561, IoU.step: 0.1867, IoU.tank: 0.5961, IoU.trade name: 0.3263, IoU.microwave: 0.8515, IoU.pot: 0.5276, IoU.animal: 0.7164, IoU.bicycle: 0.5957, IoU.lake: 0.6165, IoU.dishwasher: 0.7307, IoU.screen: 0.5895, IoU.blanket: 0.2386, IoU.sculpture: 0.7021, IoU.hood: 0.6036, IoU.sconce: 0.5067, IoU.vase: 0.4241, IoU.traffic light: 0.3020, IoU.tray: 0.1291, IoU.ashcan: 0.4561, IoU.fan: 0.6091, IoU.pier: 0.3306, IoU.crt screen: 0.1150, IoU.plate: 0.5732, IoU.monitor: 0.4861, IoU.bulletin board: 0.5651, IoU.shower: 0.0063, IoU.radiator: 0.6604, IoU.glass: 0.1583, IoU.clock: 0.4254, IoU.flag: 0.6595, Acc.wall: 0.8796, Acc.building: 0.9329, Acc.sky: 0.9698, Acc.floor: 0.9017, Acc.tree: 0.8551, Acc.ceiling: 0.9258, Acc.road: 0.9044, Acc.bed : 0.9613, Acc.windowpane: 0.7950, Acc.grass: 0.7732, Acc.cabinet: 0.7315, Acc.sidewalk: 0.8224, Acc.person: 0.9311, Acc.earth: 0.5216, Acc.door: 0.7860, Acc.table: 0.8117, Acc.mountain: 0.7061, Acc.plant: 0.6604, Acc.curtain: 0.9022, Acc.chair: 0.7480, Acc.car: 0.9442, Acc.water: 0.7741, Acc.painting: 0.8702, Acc.sofa: 0.9506, Acc.shelf: 0.6085, Acc.house: 0.4927, Acc.sea: 0.9004, Acc.mirror: 0.8522, Acc.rug: 0.8150, Acc.field: 0.6823, Acc.armchair: 0.4849, Acc.seat: 0.8580, Acc.fence: 0.6144, Acc.desk: 0.7260, Acc.rock: 0.7220, Acc.wardrobe: 0.7990, Acc.lamp: 0.7647, Acc.bathtub: 0.9208, Acc.railing: 0.6344, Acc.cushion: 0.7287, Acc.base: 0.6620, Acc.box: 0.4667, Acc.column: 0.5740, Acc.signboard: 0.5298, Acc.chest of drawers: 0.6888, Acc.counter: 0.5740, Acc.sand: 0.7424, Acc.sink: 0.8166, Acc.skyscraper: 0.7698, Acc.fireplace: 0.9182, Acc.refrigerator: 0.9018, Acc.grandstand: 0.8503, Acc.path: 0.3544, Acc.stairs: 0.3451, Acc.runway: 0.9060, Acc.case: 0.7267, Acc.pool table: 0.9755, Acc.pillow: 0.6826, Acc.screen door: 0.1638, Acc.stairway: 0.5949, Acc.river: 0.4383, Acc.bridge: 0.7590, Acc.bookcase: 0.4760, Acc.blind: 0.5594, Acc.coffee table: 0.8452, Acc.toilet: 0.9365, Acc.flower: 0.6932, Acc.book: 0.7826, Acc.hill: 0.1822, Acc.bench: 0.5902, Acc.countertop: 0.7726, Acc.stove: 0.8677, Acc.palm: 0.8724, Acc.kitchen island: 0.8539, Acc.computer: 0.8896, Acc.swivel chair: 0.7340, Acc.boat: 0.4419, Acc.bar: 0.7935, Acc.arcade machine: 0.9727, Acc.hovel: 0.5381, Acc.bus: 0.9495, Acc.towel: 0.7927, Acc.light: 0.5136, Acc.truck: 0.4882, Acc.tower: 0.4044, Acc.chandelier: 0.8602, Acc.awning: 0.4256, Acc.streetlight: 0.4312, Acc.booth: 0.4762, Acc.television receiver: 0.9250, Acc.airplane: 0.9050, Acc.dirt track: 0.1607, Acc.apparel: 0.5584, Acc.pole: 0.2292, Acc.land: 0.0000, Acc.bannister: 0.1871, Acc.escalator: 0.7602, Acc.ottoman: 0.6506, Acc.bottle: 0.5602, Acc.buffet: 0.7625, Acc.poster: 0.4054, Acc.stage: 0.2132, Acc.van: 0.4427, Acc.ship: 0.8895, Acc.fountain: 0.2681, Acc.conveyer belt: 0.9720, Acc.canopy: 0.6039, Acc.washer: 0.8376, Acc.plaything: 0.3508, Acc.swimming pool: 0.8566, Acc.stool: 0.6767, Acc.barrel: 0.6674, Acc.basket: 0.4986, Acc.waterfall: 0.5361, Acc.tent: 0.9792, Acc.bag: 0.2151, Acc.minibike: 0.8925, Acc.cradle: 0.9660, Acc.oven: 0.6359, Acc.ball: 0.6984, Acc.food: 0.7987, Acc.step: 0.2204, Acc.tank: 0.6263, Acc.trade name: 0.4307, Acc.microwave: 0.9320, Acc.pot: 0.6165, Acc.animal: 0.7428, Acc.bicycle: 0.7743, Acc.lake: 0.6320, Acc.dishwasher: 0.7857, Acc.screen: 0.8729, Acc.blanket: 0.2844, Acc.sculpture: 0.7860, Acc.hood: 0.7078, Acc.sconce: 0.6512, Acc.vase: 0.5529, Acc.traffic light: 0.5540, Acc.tray: 0.1479, Acc.ashcan: 0.5941, Acc.fan: 0.7482, Acc.pier: 0.4408, Acc.crt screen: 0.1471, Acc.plate: 0.7103, Acc.monitor: 0.7326, Acc.bulletin board: 0.6999, Acc.shower: 0.0384, Acc.radiator: 0.7577, Acc.glass: 0.1656, Acc.clock: 0.4762, Acc.flag: 0.7730 2023-11-02 04:56:18,848 - mmseg - INFO - Iter [8050/80000] lr: 2.914e-06, eta: 1 day, 2:47:54, time: 2.473, data_time: 1.263, memory: 38534, decode.loss_ce: 0.4093, decode.acc_seg: 83.5852, loss: 0.4093 2023-11-02 04:57:19,635 - mmseg - INFO - Iter [8100/80000] lr: 2.912e-06, eta: 1 day, 2:45:52, time: 1.216, data_time: 0.008, memory: 38534, decode.loss_ce: 0.4036, decode.acc_seg: 84.7131, loss: 0.4036 2023-11-02 04:58:20,375 - mmseg - INFO - Iter [8150/80000] lr: 2.910e-06, eta: 1 day, 2:43:50, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.4150, decode.acc_seg: 83.8298, loss: 0.4150 2023-11-02 04:59:21,186 - mmseg - INFO - Iter [8200/80000] lr: 2.908e-06, eta: 1 day, 2:41:49, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3934, decode.acc_seg: 84.7971, loss: 0.3934 2023-11-02 05:00:22,013 - mmseg - INFO - Iter [8250/80000] lr: 2.906e-06, eta: 1 day, 2:39:49, time: 1.217, data_time: 0.007, memory: 38534, decode.loss_ce: 0.4391, decode.acc_seg: 83.3309, loss: 0.4391 2023-11-02 05:01:22,748 - mmseg - INFO - Iter [8300/80000] lr: 2.904e-06, eta: 1 day, 2:37:49, time: 1.215, data_time: 0.008, memory: 38534, decode.loss_ce: 0.3959, decode.acc_seg: 84.6011, loss: 0.3959 2023-11-02 05:02:23,520 - mmseg - INFO - Iter [8350/80000] lr: 2.902e-06, eta: 1 day, 2:35:50, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.4057, decode.acc_seg: 84.3393, loss: 0.4057 2023-11-02 05:03:24,351 - mmseg - INFO - Iter [8400/80000] lr: 2.900e-06, eta: 1 day, 2:33:52, time: 1.217, data_time: 0.007, memory: 38534, decode.loss_ce: 0.4128, decode.acc_seg: 84.0359, loss: 0.4128 2023-11-02 05:04:25,118 - mmseg - INFO - Iter [8450/80000] lr: 2.898e-06, eta: 1 day, 2:31:54, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.4107, decode.acc_seg: 83.6170, loss: 0.4107 2023-11-02 05:05:25,867 - mmseg - INFO - Iter [8500/80000] lr: 2.896e-06, eta: 1 day, 2:29:57, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.4289, decode.acc_seg: 83.7656, loss: 0.4289 2023-11-02 05:06:26,655 - mmseg - INFO - Iter [8550/80000] lr: 2.894e-06, eta: 1 day, 2:28:01, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.4166, decode.acc_seg: 84.0006, loss: 0.4166 2023-11-02 05:07:27,456 - mmseg - INFO - Iter [8600/80000] lr: 2.892e-06, eta: 1 day, 2:26:05, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3993, decode.acc_seg: 84.4907, loss: 0.3993 2023-11-02 05:08:28,203 - mmseg - INFO - Iter [8650/80000] lr: 2.890e-06, eta: 1 day, 2:24:10, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.4413, decode.acc_seg: 83.2471, loss: 0.4413 2023-11-02 05:09:28,981 - mmseg - INFO - Iter [8700/80000] lr: 2.888e-06, eta: 1 day, 2:22:15, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.4361, decode.acc_seg: 83.5270, loss: 0.4361 2023-11-02 05:10:29,766 - mmseg - INFO - Iter [8750/80000] lr: 2.885e-06, eta: 1 day, 2:20:22, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.4183, decode.acc_seg: 83.4673, loss: 0.4183 2023-11-02 05:11:30,531 - mmseg - INFO - Iter [8800/80000] lr: 2.883e-06, eta: 1 day, 2:18:28, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.4046, decode.acc_seg: 84.5114, loss: 0.4046 2023-11-02 05:12:33,544 - mmseg - INFO - Iter [8850/80000] lr: 2.881e-06, eta: 1 day, 2:16:54, time: 1.260, data_time: 0.051, memory: 38534, decode.loss_ce: 0.4167, decode.acc_seg: 83.8062, loss: 0.4167 2023-11-02 05:13:34,262 - mmseg - INFO - Iter [8900/80000] lr: 2.879e-06, eta: 1 day, 2:15:01, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3791, decode.acc_seg: 84.8601, loss: 0.3791 2023-11-02 05:14:34,911 - mmseg - INFO - Iter [8950/80000] lr: 2.877e-06, eta: 1 day, 2:13:09, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3683, decode.acc_seg: 85.3571, loss: 0.3683 2023-11-02 05:15:35,521 - mmseg - INFO - Saving checkpoint at 9000 iterations 2023-11-02 05:16:33,090 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 05:16:33,091 - mmseg - INFO - Iter [9000/80000] lr: 2.875e-06, eta: 1 day, 2:18:50, time: 2.364, data_time: 0.007, memory: 38534, decode.loss_ce: 0.4026, decode.acc_seg: 84.0821, loss: 0.4026 2023-11-02 05:17:32,166 - mmseg - INFO - per class results: 2023-11-02 05:17:32,172 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 79.55 | 87.76 | | building | 84.29 | 90.91 | | sky | 94.04 | 97.44 | | floor | 82.99 | 88.52 | | tree | 75.85 | 89.16 | | ceiling | 85.44 | 93.01 | | road | 85.06 | 90.79 | | bed | 90.6 | 95.64 | | windowpane | 66.12 | 82.58 | | grass | 64.07 | 72.4 | | cabinet | 64.11 | 74.42 | | sidewalk | 69.15 | 84.14 | | person | 82.23 | 90.35 | | earth | 38.52 | 53.27 | | door | 57.95 | 70.86 | | table | 65.31 | 77.07 | | mountain | 58.5 | 78.84 | | plant | 57.67 | 73.75 | | curtain | 74.54 | 90.57 | | chair | 61.8 | 79.5 | | car | 84.81 | 94.57 | | water | 62.43 | 79.87 | | painting | 75.7 | 87.63 | | sofa | 78.26 | 90.23 | | shelf | 45.28 | 66.07 | | house | 58.92 | 80.34 | | sea | 74.06 | 88.55 | | mirror | 77.42 | 90.11 | | rug | 68.61 | 82.18 | | field | 31.3 | 71.32 | | armchair | 58.56 | 76.49 | | seat | 61.58 | 84.56 | | fence | 52.81 | 70.74 | | desk | 52.95 | 77.58 | | rock | 51.76 | 64.42 | | wardrobe | 51.74 | 68.62 | | lamp | 64.74 | 81.45 | | bathtub | 86.06 | 90.04 | | railing | 41.81 | 69.36 | | cushion | 63.18 | 73.23 | | base | 40.76 | 53.47 | | box | 33.23 | 47.5 | | column | 48.32 | 58.39 | | signboard | 36.74 | 62.2 | | chest of drawers | 42.04 | 69.67 | | counter | 34.72 | 43.94 | | sand | 53.04 | 73.97 | | sink | 74.54 | 81.13 | | skyscraper | 48.95 | 59.69 | | fireplace | 73.67 | 94.48 | | refrigerator | 75.08 | 92.18 | | grandstand | 48.58 | 84.5 | | path | 25.76 | 38.63 | | stairs | 28.53 | 36.98 | | runway | 69.51 | 87.97 | | case | 58.47 | 82.96 | | pool table | 91.89 | 98.5 | | pillow | 65.19 | 77.72 | | screen door | 83.55 | 91.81 | | stairway | 48.69 | 68.11 | | river | 22.9 | 33.19 | | bridge | 69.52 | 86.15 | | bookcase | 38.57 | 52.36 | | blind | 42.17 | 47.67 | | coffee table | 60.08 | 91.26 | | toilet | 87.73 | 94.12 | | flower | 32.03 | 37.61 | | book | 49.45 | 72.0 | | hill | 5.31 | 7.65 | | bench | 51.8 | 60.57 | | countertop | 62.54 | 80.14 | | stove | 79.01 | 86.69 | | palm | 53.58 | 78.83 | | kitchen island | 50.41 | 83.74 | | computer | 75.07 | 89.32 | | swivel chair | 36.6 | 45.9 | | boat | 65.35 | 89.21 | | bar | 56.29 | 84.58 | | arcade machine | 80.32 | 84.81 | | hovel | 57.08 | 79.03 | | bus | 90.1 | 96.05 | | towel | 71.1 | 80.37 | | light | 47.72 | 56.84 | | truck | 42.86 | 54.77 | | tower | 29.89 | 54.19 | | chandelier | 59.89 | 66.42 | | awning | 32.6 | 38.88 | | streetlight | 24.76 | 36.25 | | booth | 47.53 | 80.85 | | television receiver | 73.82 | 92.54 | | airplane | 78.87 | 85.47 | | dirt track | 16.1 | 18.76 | | apparel | 36.51 | 52.92 | | pole | 18.92 | 23.37 | | land | 3.52 | 4.05 | | bannister | 14.21 | 18.58 | | escalator | 63.22 | 79.38 | | ottoman | 54.7 | 65.76 | | bottle | 40.84 | 68.43 | | buffet | 53.65 | 74.34 | | poster | 26.34 | 32.07 | | stage | 18.66 | 37.24 | | van | 36.69 | 49.28 | | ship | 73.56 | 76.27 | | fountain | 18.37 | 18.49 | | conveyer belt | 70.88 | 94.94 | | canopy | 39.91 | 43.52 | | washer | 79.15 | 83.39 | | plaything | 29.31 | 40.92 | | swimming pool | 56.7 | 80.91 | | stool | 49.89 | 59.57 | | barrel | 45.59 | 65.0 | | basket | 39.41 | 55.29 | | waterfall | 45.51 | 59.65 | | tent | 92.68 | 97.29 | | bag | 22.07 | 25.05 | | minibike | 72.73 | 86.97 | | cradle | 85.61 | 96.09 | | oven | 60.49 | 70.99 | | ball | 29.89 | 33.51 | | food | 55.1 | 58.06 | | step | 18.79 | 32.2 | | tank | 62.79 | 67.7 | | trade name | 16.46 | 18.08 | | microwave | 86.29 | 94.98 | | pot | 55.9 | 63.85 | | animal | 63.67 | 64.72 | | bicycle | 59.14 | 85.5 | | lake | 60.0 | 60.0 | | dishwasher | 70.71 | 77.77 | | screen | 57.42 | 93.66 | | blanket | 16.86 | 17.84 | | sculpture | 70.11 | 85.37 | | hood | 57.18 | 60.86 | | sconce | 49.2 | 59.73 | | vase | 40.45 | 53.63 | | traffic light | 32.32 | 45.82 | | tray | 16.51 | 26.23 | | ashcan | 45.15 | 65.09 | | fan | 61.26 | 79.5 | | pier | 35.63 | 39.31 | | crt screen | 0.96 | 2.16 | | plate | 52.61 | 74.25 | | monitor | 15.82 | 19.49 | | bulletin board | 59.78 | 66.81 | | shower | 0.32 | 0.57 | | radiator | 64.39 | 80.62 | | glass | 14.48 | 15.12 | | clock | 40.18 | 44.02 | | flag | 66.6 | 71.42 | +---------------------+-------+-------+ 2023-11-02 05:17:32,172 - mmseg - INFO - Summary: 2023-11-02 05:17:32,172 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 84.71 | 53.85 | 66.77 | +-------+-------+-------+ 2023-11-02 05:17:32,173 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 05:17:32,173 - mmseg - INFO - Iter(val) [250] aAcc: 0.8471, mIoU: 0.5385, mAcc: 0.6677, IoU.wall: 0.7955, IoU.building: 0.8429, IoU.sky: 0.9404, IoU.floor: 0.8299, IoU.tree: 0.7585, IoU.ceiling: 0.8544, IoU.road: 0.8506, IoU.bed : 0.9060, IoU.windowpane: 0.6612, IoU.grass: 0.6407, IoU.cabinet: 0.6411, IoU.sidewalk: 0.6915, IoU.person: 0.8223, IoU.earth: 0.3852, IoU.door: 0.5795, IoU.table: 0.6531, IoU.mountain: 0.5850, IoU.plant: 0.5767, IoU.curtain: 0.7454, IoU.chair: 0.6180, IoU.car: 0.8481, IoU.water: 0.6243, IoU.painting: 0.7570, IoU.sofa: 0.7826, IoU.shelf: 0.4528, IoU.house: 0.5892, IoU.sea: 0.7406, IoU.mirror: 0.7742, IoU.rug: 0.6861, IoU.field: 0.3130, IoU.armchair: 0.5856, IoU.seat: 0.6158, IoU.fence: 0.5281, IoU.desk: 0.5295, IoU.rock: 0.5176, IoU.wardrobe: 0.5174, IoU.lamp: 0.6474, IoU.bathtub: 0.8606, IoU.railing: 0.4181, IoU.cushion: 0.6318, IoU.base: 0.4076, IoU.box: 0.3323, IoU.column: 0.4832, IoU.signboard: 0.3674, IoU.chest of drawers: 0.4204, IoU.counter: 0.3472, IoU.sand: 0.5304, IoU.sink: 0.7454, IoU.skyscraper: 0.4895, IoU.fireplace: 0.7367, IoU.refrigerator: 0.7508, IoU.grandstand: 0.4858, IoU.path: 0.2576, IoU.stairs: 0.2853, IoU.runway: 0.6951, IoU.case: 0.5847, IoU.pool table: 0.9189, IoU.pillow: 0.6519, IoU.screen door: 0.8355, IoU.stairway: 0.4869, IoU.river: 0.2290, IoU.bridge: 0.6952, IoU.bookcase: 0.3857, IoU.blind: 0.4217, IoU.coffee table: 0.6008, IoU.toilet: 0.8773, IoU.flower: 0.3203, IoU.book: 0.4945, IoU.hill: 0.0531, IoU.bench: 0.5180, IoU.countertop: 0.6254, IoU.stove: 0.7901, IoU.palm: 0.5358, IoU.kitchen island: 0.5041, IoU.computer: 0.7507, IoU.swivel chair: 0.3660, IoU.boat: 0.6535, IoU.bar: 0.5629, IoU.arcade machine: 0.8032, IoU.hovel: 0.5708, IoU.bus: 0.9010, IoU.towel: 0.7110, IoU.light: 0.4772, IoU.truck: 0.4286, IoU.tower: 0.2989, IoU.chandelier: 0.5989, IoU.awning: 0.3260, IoU.streetlight: 0.2476, IoU.booth: 0.4753, IoU.television receiver: 0.7382, IoU.airplane: 0.7887, IoU.dirt track: 0.1610, IoU.apparel: 0.3651, IoU.pole: 0.1892, IoU.land: 0.0352, IoU.bannister: 0.1421, IoU.escalator: 0.6322, IoU.ottoman: 0.5470, IoU.bottle: 0.4084, IoU.buffet: 0.5365, IoU.poster: 0.2634, IoU.stage: 0.1866, IoU.van: 0.3669, IoU.ship: 0.7356, IoU.fountain: 0.1837, IoU.conveyer belt: 0.7088, IoU.canopy: 0.3991, IoU.washer: 0.7915, IoU.plaything: 0.2931, IoU.swimming pool: 0.5670, IoU.stool: 0.4989, IoU.barrel: 0.4559, IoU.basket: 0.3941, IoU.waterfall: 0.4551, IoU.tent: 0.9268, IoU.bag: 0.2207, IoU.minibike: 0.7273, IoU.cradle: 0.8561, IoU.oven: 0.6049, IoU.ball: 0.2989, IoU.food: 0.5510, IoU.step: 0.1879, IoU.tank: 0.6279, IoU.trade name: 0.1646, IoU.microwave: 0.8629, IoU.pot: 0.5590, IoU.animal: 0.6367, IoU.bicycle: 0.5914, IoU.lake: 0.6000, IoU.dishwasher: 0.7071, IoU.screen: 0.5742, IoU.blanket: 0.1686, IoU.sculpture: 0.7011, IoU.hood: 0.5718, IoU.sconce: 0.4920, IoU.vase: 0.4045, IoU.traffic light: 0.3232, IoU.tray: 0.1651, IoU.ashcan: 0.4515, IoU.fan: 0.6126, IoU.pier: 0.3563, IoU.crt screen: 0.0096, IoU.plate: 0.5261, IoU.monitor: 0.1582, IoU.bulletin board: 0.5978, IoU.shower: 0.0032, IoU.radiator: 0.6439, IoU.glass: 0.1448, IoU.clock: 0.4018, IoU.flag: 0.6660, Acc.wall: 0.8776, Acc.building: 0.9091, Acc.sky: 0.9744, Acc.floor: 0.8852, Acc.tree: 0.8916, Acc.ceiling: 0.9301, Acc.road: 0.9079, Acc.bed : 0.9564, Acc.windowpane: 0.8258, Acc.grass: 0.7240, Acc.cabinet: 0.7442, Acc.sidewalk: 0.8414, Acc.person: 0.9035, Acc.earth: 0.5327, Acc.door: 0.7086, Acc.table: 0.7707, Acc.mountain: 0.7884, Acc.plant: 0.7375, Acc.curtain: 0.9057, Acc.chair: 0.7950, Acc.car: 0.9457, Acc.water: 0.7987, Acc.painting: 0.8763, Acc.sofa: 0.9023, Acc.shelf: 0.6607, Acc.house: 0.8034, Acc.sea: 0.8855, Acc.mirror: 0.9011, Acc.rug: 0.8218, Acc.field: 0.7132, Acc.armchair: 0.7649, Acc.seat: 0.8456, Acc.fence: 0.7074, Acc.desk: 0.7758, Acc.rock: 0.6442, Acc.wardrobe: 0.6862, Acc.lamp: 0.8145, Acc.bathtub: 0.9004, Acc.railing: 0.6936, Acc.cushion: 0.7323, Acc.base: 0.5347, Acc.box: 0.4750, Acc.column: 0.5839, Acc.signboard: 0.6220, Acc.chest of drawers: 0.6967, Acc.counter: 0.4394, Acc.sand: 0.7397, Acc.sink: 0.8113, Acc.skyscraper: 0.5969, Acc.fireplace: 0.9448, Acc.refrigerator: 0.9218, Acc.grandstand: 0.8450, Acc.path: 0.3863, Acc.stairs: 0.3698, Acc.runway: 0.8797, Acc.case: 0.8296, Acc.pool table: 0.9850, Acc.pillow: 0.7772, Acc.screen door: 0.9181, Acc.stairway: 0.6811, Acc.river: 0.3319, Acc.bridge: 0.8615, Acc.bookcase: 0.5236, Acc.blind: 0.4767, Acc.coffee table: 0.9126, Acc.toilet: 0.9412, Acc.flower: 0.3761, Acc.book: 0.7200, Acc.hill: 0.0765, Acc.bench: 0.6057, Acc.countertop: 0.8014, Acc.stove: 0.8669, Acc.palm: 0.7883, Acc.kitchen island: 0.8374, Acc.computer: 0.8932, Acc.swivel chair: 0.4590, Acc.boat: 0.8921, Acc.bar: 0.8458, Acc.arcade machine: 0.8481, Acc.hovel: 0.7903, Acc.bus: 0.9605, Acc.towel: 0.8037, Acc.light: 0.5684, Acc.truck: 0.5477, Acc.tower: 0.5419, Acc.chandelier: 0.6642, Acc.awning: 0.3888, Acc.streetlight: 0.3625, Acc.booth: 0.8085, Acc.television receiver: 0.9254, Acc.airplane: 0.8547, Acc.dirt track: 0.1876, Acc.apparel: 0.5292, Acc.pole: 0.2337, Acc.land: 0.0405, Acc.bannister: 0.1858, Acc.escalator: 0.7938, Acc.ottoman: 0.6576, Acc.bottle: 0.6843, Acc.buffet: 0.7434, Acc.poster: 0.3207, Acc.stage: 0.3724, Acc.van: 0.4928, Acc.ship: 0.7627, Acc.fountain: 0.1849, Acc.conveyer belt: 0.9494, Acc.canopy: 0.4352, Acc.washer: 0.8339, Acc.plaything: 0.4092, Acc.swimming pool: 0.8091, Acc.stool: 0.5957, Acc.barrel: 0.6500, Acc.basket: 0.5529, Acc.waterfall: 0.5965, Acc.tent: 0.9729, Acc.bag: 0.2505, Acc.minibike: 0.8697, Acc.cradle: 0.9609, Acc.oven: 0.7099, Acc.ball: 0.3351, Acc.food: 0.5806, Acc.step: 0.3220, Acc.tank: 0.6770, Acc.trade name: 0.1808, Acc.microwave: 0.9498, Acc.pot: 0.6385, Acc.animal: 0.6472, Acc.bicycle: 0.8550, Acc.lake: 0.6000, Acc.dishwasher: 0.7777, Acc.screen: 0.9366, Acc.blanket: 0.1784, Acc.sculpture: 0.8537, Acc.hood: 0.6086, Acc.sconce: 0.5973, Acc.vase: 0.5363, Acc.traffic light: 0.4582, Acc.tray: 0.2623, Acc.ashcan: 0.6509, Acc.fan: 0.7950, Acc.pier: 0.3931, Acc.crt screen: 0.0216, Acc.plate: 0.7425, Acc.monitor: 0.1949, Acc.bulletin board: 0.6681, Acc.shower: 0.0057, Acc.radiator: 0.8062, Acc.glass: 0.1512, Acc.clock: 0.4402, Acc.flag: 0.7142 2023-11-02 05:18:32,890 - mmseg - INFO - Iter [9050/80000] lr: 2.873e-06, eta: 1 day, 2:24:40, time: 2.396, data_time: 1.189, memory: 38534, decode.loss_ce: 0.3673, decode.acc_seg: 85.6330, loss: 0.3673 2023-11-02 05:19:33,574 - mmseg - INFO - Iter [9100/80000] lr: 2.871e-06, eta: 1 day, 2:22:44, time: 1.214, data_time: 0.008, memory: 38534, decode.loss_ce: 0.3733, decode.acc_seg: 85.5958, loss: 0.3733 2023-11-02 05:20:34,284 - mmseg - INFO - Iter [9150/80000] lr: 2.869e-06, eta: 1 day, 2:20:48, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3867, decode.acc_seg: 84.6401, loss: 0.3867 2023-11-02 05:21:34,975 - mmseg - INFO - Iter [9200/80000] lr: 2.867e-06, eta: 1 day, 2:18:53, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3850, decode.acc_seg: 84.5438, loss: 0.3850 2023-11-02 05:22:35,687 - mmseg - INFO - Iter [9250/80000] lr: 2.865e-06, eta: 1 day, 2:16:59, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3901, decode.acc_seg: 84.7710, loss: 0.3901 2023-11-02 05:23:36,423 - mmseg - INFO - Iter [9300/80000] lr: 2.863e-06, eta: 1 day, 2:15:05, time: 1.215, data_time: 0.008, memory: 38534, decode.loss_ce: 0.3970, decode.acc_seg: 84.9724, loss: 0.3970 2023-11-02 05:24:37,235 - mmseg - INFO - Iter [9350/80000] lr: 2.861e-06, eta: 1 day, 2:13:13, time: 1.216, data_time: 0.008, memory: 38534, decode.loss_ce: 0.3737, decode.acc_seg: 85.2337, loss: 0.3737 2023-11-02 05:25:37,971 - mmseg - INFO - Iter [9400/80000] lr: 2.859e-06, eta: 1 day, 2:11:21, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3787, decode.acc_seg: 84.7762, loss: 0.3787 2023-11-02 05:26:38,740 - mmseg - INFO - Iter [9450/80000] lr: 2.857e-06, eta: 1 day, 2:09:29, time: 1.215, data_time: 0.008, memory: 38534, decode.loss_ce: 0.3927, decode.acc_seg: 84.6666, loss: 0.3927 2023-11-02 05:27:39,524 - mmseg - INFO - Iter [9500/80000] lr: 2.855e-06, eta: 1 day, 2:07:38, time: 1.216, data_time: 0.008, memory: 38534, decode.loss_ce: 0.3901, decode.acc_seg: 84.5549, loss: 0.3901 2023-11-02 05:28:40,276 - mmseg - INFO - Iter [9550/80000] lr: 2.853e-06, eta: 1 day, 2:05:48, time: 1.215, data_time: 0.008, memory: 38534, decode.loss_ce: 0.4176, decode.acc_seg: 83.9761, loss: 0.4176 2023-11-02 05:29:41,038 - mmseg - INFO - Iter [9600/80000] lr: 2.851e-06, eta: 1 day, 2:03:57, time: 1.215, data_time: 0.008, memory: 38534, decode.loss_ce: 0.4042, decode.acc_seg: 84.2862, loss: 0.4042 2023-11-02 05:30:41,854 - mmseg - INFO - Iter [9650/80000] lr: 2.849e-06, eta: 1 day, 2:02:08, time: 1.216, data_time: 0.008, memory: 38534, decode.loss_ce: 0.3688, decode.acc_seg: 85.4854, loss: 0.3688 2023-11-02 05:31:42,640 - mmseg - INFO - Iter [9700/80000] lr: 2.847e-06, eta: 1 day, 2:00:19, time: 1.216, data_time: 0.008, memory: 38534, decode.loss_ce: 0.3930, decode.acc_seg: 84.4789, loss: 0.3930 2023-11-02 05:32:43,374 - mmseg - INFO - Iter [9750/80000] lr: 2.845e-06, eta: 1 day, 1:58:31, time: 1.215, data_time: 0.008, memory: 38534, decode.loss_ce: 0.3774, decode.acc_seg: 85.1198, loss: 0.3774 2023-11-02 05:33:44,120 - mmseg - INFO - Iter [9800/80000] lr: 2.843e-06, eta: 1 day, 1:56:43, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3849, decode.acc_seg: 84.6200, loss: 0.3849 2023-11-02 05:34:44,913 - mmseg - INFO - Iter [9850/80000] lr: 2.841e-06, eta: 1 day, 1:54:55, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.4037, decode.acc_seg: 84.1661, loss: 0.4037 2023-11-02 05:35:45,675 - mmseg - INFO - Iter [9900/80000] lr: 2.839e-06, eta: 1 day, 1:53:08, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.4028, decode.acc_seg: 84.7596, loss: 0.4028 2023-11-02 05:36:46,427 - mmseg - INFO - Iter [9950/80000] lr: 2.837e-06, eta: 1 day, 1:51:21, time: 1.215, data_time: 0.008, memory: 38534, decode.loss_ce: 0.4054, decode.acc_seg: 85.0516, loss: 0.4054 2023-11-02 05:37:47,222 - mmseg - INFO - Saving checkpoint at 10000 iterations 2023-11-02 05:38:39,349 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 05:38:39,349 - mmseg - INFO - Iter [10000/80000] lr: 2.835e-06, eta: 1 day, 1:55:40, time: 2.258, data_time: 0.008, memory: 38534, decode.loss_ce: 0.4198, decode.acc_seg: 83.8266, loss: 0.4198 2023-11-02 05:39:37,103 - mmseg - INFO - per class results: 2023-11-02 05:39:37,108 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 78.91 | 87.25 | | building | 84.14 | 94.47 | | sky | 94.35 | 97.21 | | floor | 83.32 | 90.42 | | tree | 76.43 | 88.58 | | ceiling | 84.38 | 94.51 | | road | 85.39 | 91.39 | | bed | 90.94 | 96.69 | | windowpane | 65.54 | 81.9 | | grass | 65.68 | 76.81 | | cabinet | 63.75 | 76.91 | | sidewalk | 68.27 | 79.78 | | person | 82.28 | 92.39 | | earth | 33.28 | 46.42 | | door | 54.66 | 67.64 | | table | 67.51 | 79.97 | | mountain | 59.58 | 75.0 | | plant | 58.56 | 71.33 | | curtain | 74.39 | 80.03 | | chair | 60.44 | 73.48 | | car | 85.23 | 93.55 | | water | 63.23 | 78.21 | | painting | 74.5 | 89.3 | | sofa | 74.03 | 84.24 | | shelf | 45.59 | 63.03 | | house | 52.1 | 65.44 | | sea | 75.0 | 82.26 | | mirror | 74.93 | 81.01 | | rug | 71.57 | 81.88 | | field | 33.93 | 70.12 | | armchair | 53.57 | 83.49 | | seat | 63.82 | 83.8 | | fence | 48.32 | 59.33 | | desk | 55.98 | 71.78 | | rock | 44.29 | 54.52 | | wardrobe | 55.21 | 78.3 | | lamp | 65.63 | 82.82 | | bathtub | 85.74 | 90.44 | | railing | 41.57 | 59.37 | | cushion | 61.04 | 69.21 | | base | 39.88 | 55.25 | | box | 36.33 | 51.6 | | column | 48.06 | 56.0 | | signboard | 38.75 | 46.17 | | chest of drawers | 43.59 | 65.07 | | counter | 43.82 | 63.74 | | sand | 52.61 | 77.36 | | sink | 74.67 | 84.78 | | skyscraper | 48.29 | 59.57 | | fireplace | 68.61 | 95.03 | | refrigerator | 80.11 | 86.67 | | grandstand | 51.72 | 80.97 | | path | 22.43 | 42.31 | | stairs | 30.94 | 41.17 | | runway | 73.85 | 97.42 | | case | 58.72 | 79.63 | | pool table | 93.18 | 97.51 | | pillow | 64.69 | 77.73 | | screen door | 77.13 | 80.55 | | stairway | 50.42 | 65.59 | | river | 20.18 | 45.09 | | bridge | 61.39 | 69.82 | | bookcase | 40.5 | 56.44 | | blind | 37.91 | 40.27 | | coffee table | 63.78 | 86.58 | | toilet | 86.29 | 93.82 | | flower | 38.04 | 53.59 | | book | 51.71 | 73.74 | | hill | 5.35 | 10.82 | | bench | 51.73 | 59.4 | | countertop | 64.14 | 74.6 | | stove | 79.04 | 82.81 | | palm | 50.82 | 79.04 | | kitchen island | 51.05 | 85.23 | | computer | 74.64 | 89.38 | | swivel chair | 48.57 | 75.02 | | boat | 71.72 | 88.02 | | bar | 61.35 | 82.28 | | arcade machine | 83.71 | 86.52 | | hovel | 19.39 | 20.31 | | bus | 90.44 | 95.73 | | towel | 70.64 | 86.04 | | light | 47.93 | 56.59 | | truck | 48.19 | 61.98 | | tower | 13.3 | 17.77 | | chandelier | 65.69 | 82.29 | | awning | 35.98 | 42.79 | | streetlight | 26.47 | 36.02 | | booth | 45.88 | 84.02 | | television receiver | 69.18 | 75.83 | | airplane | 68.54 | 83.51 | | dirt track | 11.06 | 31.05 | | apparel | 37.41 | 53.27 | | pole | 21.13 | 27.15 | | land | 0.82 | 0.97 | | bannister | 14.77 | 20.79 | | escalator | 63.02 | 83.86 | | ottoman | 48.22 | 75.94 | | bottle | 31.62 | 39.96 | | buffet | 35.09 | 35.5 | | poster | 30.72 | 42.7 | | stage | 17.26 | 37.53 | | van | 36.46 | 43.0 | | ship | 39.88 | 41.06 | | fountain | 32.86 | 33.06 | | conveyer belt | 85.88 | 92.13 | | canopy | 46.6 | 66.14 | | washer | 77.63 | 81.99 | | plaything | 32.07 | 47.73 | | swimming pool | 58.52 | 85.52 | | stool | 46.99 | 60.38 | | barrel | 59.18 | 74.57 | | basket | 46.23 | 61.61 | | waterfall | 49.01 | 59.53 | | tent | 91.58 | 98.24 | | bag | 23.88 | 27.03 | | minibike | 72.07 | 89.05 | | cradle | 84.95 | 96.64 | | oven | 60.55 | 66.37 | | ball | 29.78 | 31.2 | | food | 68.13 | 79.32 | | step | 8.65 | 9.31 | | tank | 62.11 | 66.63 | | trade name | 23.8 | 25.97 | | microwave | 88.24 | 93.5 | | pot | 55.73 | 65.67 | | animal | 74.4 | 76.87 | | bicycle | 58.13 | 71.23 | | lake | 52.7 | 62.53 | | dishwasher | 69.5 | 75.88 | | screen | 58.6 | 94.22 | | blanket | 27.74 | 30.62 | | sculpture | 67.96 | 82.35 | | hood | 56.88 | 70.27 | | sconce | 52.4 | 66.45 | | vase | 42.63 | 55.7 | | traffic light | 29.37 | 65.27 | | tray | 11.75 | 15.0 | | ashcan | 44.53 | 64.9 | | fan | 60.09 | 77.0 | | pier | 32.22 | 38.35 | | crt screen | 2.62 | 6.22 | | plate | 54.99 | 75.0 | | monitor | 21.01 | 25.13 | | bulletin board | 60.22 | 70.73 | | shower | 0.42 | 0.56 | | radiator | 62.34 | 72.51 | | glass | 18.71 | 20.52 | | clock | 37.46 | 44.26 | | flag | 65.91 | 73.56 | +---------------------+-------+-------+ 2023-11-02 05:39:37,108 - mmseg - INFO - Summary: 2023-11-02 05:39:37,108 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 84.61 | 53.69 | 66.16 | +-------+-------+-------+ 2023-11-02 05:39:37,109 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 05:39:37,109 - mmseg - INFO - Iter(val) [250] aAcc: 0.8461, mIoU: 0.5369, mAcc: 0.6616, IoU.wall: 0.7891, IoU.building: 0.8414, IoU.sky: 0.9435, IoU.floor: 0.8332, IoU.tree: 0.7643, IoU.ceiling: 0.8438, IoU.road: 0.8539, IoU.bed : 0.9094, IoU.windowpane: 0.6554, IoU.grass: 0.6568, IoU.cabinet: 0.6375, IoU.sidewalk: 0.6827, IoU.person: 0.8228, IoU.earth: 0.3328, IoU.door: 0.5466, IoU.table: 0.6751, IoU.mountain: 0.5958, IoU.plant: 0.5856, IoU.curtain: 0.7439, IoU.chair: 0.6044, IoU.car: 0.8523, IoU.water: 0.6323, IoU.painting: 0.7450, IoU.sofa: 0.7403, IoU.shelf: 0.4559, IoU.house: 0.5210, IoU.sea: 0.7500, IoU.mirror: 0.7493, IoU.rug: 0.7157, IoU.field: 0.3393, IoU.armchair: 0.5357, IoU.seat: 0.6382, IoU.fence: 0.4832, IoU.desk: 0.5598, IoU.rock: 0.4429, IoU.wardrobe: 0.5521, IoU.lamp: 0.6563, IoU.bathtub: 0.8574, IoU.railing: 0.4157, IoU.cushion: 0.6104, IoU.base: 0.3988, IoU.box: 0.3633, IoU.column: 0.4806, IoU.signboard: 0.3875, IoU.chest of drawers: 0.4359, IoU.counter: 0.4382, IoU.sand: 0.5261, IoU.sink: 0.7467, IoU.skyscraper: 0.4829, IoU.fireplace: 0.6861, IoU.refrigerator: 0.8011, IoU.grandstand: 0.5172, IoU.path: 0.2243, IoU.stairs: 0.3094, IoU.runway: 0.7385, IoU.case: 0.5872, IoU.pool table: 0.9318, IoU.pillow: 0.6469, IoU.screen door: 0.7713, IoU.stairway: 0.5042, IoU.river: 0.2018, IoU.bridge: 0.6139, IoU.bookcase: 0.4050, IoU.blind: 0.3791, IoU.coffee table: 0.6378, IoU.toilet: 0.8629, IoU.flower: 0.3804, IoU.book: 0.5171, IoU.hill: 0.0535, IoU.bench: 0.5173, IoU.countertop: 0.6414, IoU.stove: 0.7904, IoU.palm: 0.5082, IoU.kitchen island: 0.5105, IoU.computer: 0.7464, IoU.swivel chair: 0.4857, IoU.boat: 0.7172, IoU.bar: 0.6135, IoU.arcade machine: 0.8371, IoU.hovel: 0.1939, IoU.bus: 0.9044, IoU.towel: 0.7064, IoU.light: 0.4793, IoU.truck: 0.4819, IoU.tower: 0.1330, IoU.chandelier: 0.6569, IoU.awning: 0.3598, IoU.streetlight: 0.2647, IoU.booth: 0.4588, IoU.television receiver: 0.6918, IoU.airplane: 0.6854, IoU.dirt track: 0.1106, IoU.apparel: 0.3741, IoU.pole: 0.2113, IoU.land: 0.0082, IoU.bannister: 0.1477, IoU.escalator: 0.6302, IoU.ottoman: 0.4822, IoU.bottle: 0.3162, IoU.buffet: 0.3509, IoU.poster: 0.3072, IoU.stage: 0.1726, IoU.van: 0.3646, IoU.ship: 0.3988, IoU.fountain: 0.3286, IoU.conveyer belt: 0.8588, IoU.canopy: 0.4660, IoU.washer: 0.7763, IoU.plaything: 0.3207, IoU.swimming pool: 0.5852, IoU.stool: 0.4699, IoU.barrel: 0.5918, IoU.basket: 0.4623, IoU.waterfall: 0.4901, IoU.tent: 0.9158, IoU.bag: 0.2388, IoU.minibike: 0.7207, IoU.cradle: 0.8495, IoU.oven: 0.6055, IoU.ball: 0.2978, IoU.food: 0.6813, IoU.step: 0.0865, IoU.tank: 0.6211, IoU.trade name: 0.2380, IoU.microwave: 0.8824, IoU.pot: 0.5573, IoU.animal: 0.7440, IoU.bicycle: 0.5813, IoU.lake: 0.5270, IoU.dishwasher: 0.6950, IoU.screen: 0.5860, IoU.blanket: 0.2774, IoU.sculpture: 0.6796, IoU.hood: 0.5688, IoU.sconce: 0.5240, IoU.vase: 0.4263, IoU.traffic light: 0.2937, IoU.tray: 0.1175, IoU.ashcan: 0.4453, IoU.fan: 0.6009, IoU.pier: 0.3222, IoU.crt screen: 0.0262, IoU.plate: 0.5499, IoU.monitor: 0.2101, IoU.bulletin board: 0.6022, IoU.shower: 0.0042, IoU.radiator: 0.6234, IoU.glass: 0.1871, IoU.clock: 0.3746, IoU.flag: 0.6591, Acc.wall: 0.8725, Acc.building: 0.9447, Acc.sky: 0.9721, Acc.floor: 0.9042, Acc.tree: 0.8858, Acc.ceiling: 0.9451, Acc.road: 0.9139, Acc.bed : 0.9669, Acc.windowpane: 0.8190, Acc.grass: 0.7681, Acc.cabinet: 0.7691, Acc.sidewalk: 0.7978, Acc.person: 0.9239, Acc.earth: 0.4642, Acc.door: 0.6764, Acc.table: 0.7997, Acc.mountain: 0.7500, Acc.plant: 0.7133, Acc.curtain: 0.8003, Acc.chair: 0.7348, Acc.car: 0.9355, Acc.water: 0.7821, Acc.painting: 0.8930, Acc.sofa: 0.8424, Acc.shelf: 0.6303, Acc.house: 0.6544, Acc.sea: 0.8226, Acc.mirror: 0.8101, Acc.rug: 0.8188, Acc.field: 0.7012, Acc.armchair: 0.8349, Acc.seat: 0.8380, Acc.fence: 0.5933, Acc.desk: 0.7178, Acc.rock: 0.5452, Acc.wardrobe: 0.7830, Acc.lamp: 0.8282, Acc.bathtub: 0.9044, Acc.railing: 0.5937, Acc.cushion: 0.6921, Acc.base: 0.5525, Acc.box: 0.5160, Acc.column: 0.5600, Acc.signboard: 0.4617, Acc.chest of drawers: 0.6507, Acc.counter: 0.6374, Acc.sand: 0.7736, Acc.sink: 0.8478, Acc.skyscraper: 0.5957, Acc.fireplace: 0.9503, Acc.refrigerator: 0.8667, Acc.grandstand: 0.8097, Acc.path: 0.4231, Acc.stairs: 0.4117, Acc.runway: 0.9742, Acc.case: 0.7963, Acc.pool table: 0.9751, Acc.pillow: 0.7773, Acc.screen door: 0.8055, Acc.stairway: 0.6559, Acc.river: 0.4509, Acc.bridge: 0.6982, Acc.bookcase: 0.5644, Acc.blind: 0.4027, Acc.coffee table: 0.8658, Acc.toilet: 0.9382, Acc.flower: 0.5359, Acc.book: 0.7374, Acc.hill: 0.1082, Acc.bench: 0.5940, Acc.countertop: 0.7460, Acc.stove: 0.8281, Acc.palm: 0.7904, Acc.kitchen island: 0.8523, Acc.computer: 0.8938, Acc.swivel chair: 0.7502, Acc.boat: 0.8802, Acc.bar: 0.8228, Acc.arcade machine: 0.8652, Acc.hovel: 0.2031, Acc.bus: 0.9573, Acc.towel: 0.8604, Acc.light: 0.5659, Acc.truck: 0.6198, Acc.tower: 0.1777, Acc.chandelier: 0.8229, Acc.awning: 0.4279, Acc.streetlight: 0.3602, Acc.booth: 0.8402, Acc.television receiver: 0.7583, Acc.airplane: 0.8351, Acc.dirt track: 0.3105, Acc.apparel: 0.5327, Acc.pole: 0.2715, Acc.land: 0.0097, Acc.bannister: 0.2079, Acc.escalator: 0.8386, Acc.ottoman: 0.7594, Acc.bottle: 0.3996, Acc.buffet: 0.3550, Acc.poster: 0.4270, Acc.stage: 0.3753, Acc.van: 0.4300, Acc.ship: 0.4106, Acc.fountain: 0.3306, Acc.conveyer belt: 0.9213, Acc.canopy: 0.6614, Acc.washer: 0.8199, Acc.plaything: 0.4773, Acc.swimming pool: 0.8552, Acc.stool: 0.6038, Acc.barrel: 0.7457, Acc.basket: 0.6161, Acc.waterfall: 0.5953, Acc.tent: 0.9824, Acc.bag: 0.2703, Acc.minibike: 0.8905, Acc.cradle: 0.9664, Acc.oven: 0.6637, Acc.ball: 0.3120, Acc.food: 0.7932, Acc.step: 0.0931, Acc.tank: 0.6663, Acc.trade name: 0.2597, Acc.microwave: 0.9350, Acc.pot: 0.6567, Acc.animal: 0.7687, Acc.bicycle: 0.7123, Acc.lake: 0.6253, Acc.dishwasher: 0.7588, Acc.screen: 0.9422, Acc.blanket: 0.3062, Acc.sculpture: 0.8235, Acc.hood: 0.7027, Acc.sconce: 0.6645, Acc.vase: 0.5570, Acc.traffic light: 0.6527, Acc.tray: 0.1500, Acc.ashcan: 0.6490, Acc.fan: 0.7700, Acc.pier: 0.3835, Acc.crt screen: 0.0622, Acc.plate: 0.7500, Acc.monitor: 0.2513, Acc.bulletin board: 0.7073, Acc.shower: 0.0056, Acc.radiator: 0.7251, Acc.glass: 0.2052, Acc.clock: 0.4426, Acc.flag: 0.7356 2023-11-02 05:40:37,956 - mmseg - INFO - Iter [10050/80000] lr: 2.833e-06, eta: 1 day, 2:00:35, time: 2.372, data_time: 1.163, memory: 38534, decode.loss_ce: 0.3841, decode.acc_seg: 84.4810, loss: 0.3841 2023-11-02 05:41:38,740 - mmseg - INFO - Iter [10100/80000] lr: 2.831e-06, eta: 1 day, 1:58:46, time: 1.216, data_time: 0.008, memory: 38534, decode.loss_ce: 0.4092, decode.acc_seg: 84.5897, loss: 0.4092 2023-11-02 05:42:41,899 - mmseg - INFO - Iter [10150/80000] lr: 2.829e-06, eta: 1 day, 1:57:13, time: 1.263, data_time: 0.054, memory: 38534, decode.loss_ce: 0.3833, decode.acc_seg: 85.2112, loss: 0.3833 2023-11-02 05:43:42,621 - mmseg - INFO - Iter [10200/80000] lr: 2.827e-06, eta: 1 day, 1:55:24, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3562, decode.acc_seg: 86.1240, loss: 0.3562 2023-11-02 05:44:43,375 - mmseg - INFO - Iter [10250/80000] lr: 2.825e-06, eta: 1 day, 1:53:36, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3763, decode.acc_seg: 85.1127, loss: 0.3763 2023-11-02 05:45:44,137 - mmseg - INFO - Iter [10300/80000] lr: 2.823e-06, eta: 1 day, 1:51:48, time: 1.215, data_time: 0.008, memory: 38534, decode.loss_ce: 0.3695, decode.acc_seg: 85.5060, loss: 0.3695 2023-11-02 05:46:44,897 - mmseg - INFO - Iter [10350/80000] lr: 2.821e-06, eta: 1 day, 1:50:00, time: 1.215, data_time: 0.008, memory: 38534, decode.loss_ce: 0.3627, decode.acc_seg: 85.9562, loss: 0.3627 2023-11-02 05:47:45,676 - mmseg - INFO - Iter [10400/80000] lr: 2.819e-06, eta: 1 day, 1:48:14, time: 1.216, data_time: 0.008, memory: 38534, decode.loss_ce: 0.3568, decode.acc_seg: 86.0549, loss: 0.3568 2023-11-02 05:48:46,418 - mmseg - INFO - Iter [10450/80000] lr: 2.817e-06, eta: 1 day, 1:46:27, time: 1.215, data_time: 0.008, memory: 38534, decode.loss_ce: 0.3633, decode.acc_seg: 85.5899, loss: 0.3633 2023-11-02 05:49:47,220 - mmseg - INFO - Iter [10500/80000] lr: 2.815e-06, eta: 1 day, 1:44:41, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3521, decode.acc_seg: 86.3330, loss: 0.3521 2023-11-02 05:50:48,016 - mmseg - INFO - Iter [10550/80000] lr: 2.813e-06, eta: 1 day, 1:42:56, time: 1.216, data_time: 0.008, memory: 38534, decode.loss_ce: 0.3725, decode.acc_seg: 85.8572, loss: 0.3725 2023-11-02 05:51:48,811 - mmseg - INFO - Iter [10600/80000] lr: 2.811e-06, eta: 1 day, 1:41:11, time: 1.216, data_time: 0.008, memory: 38534, decode.loss_ce: 0.3500, decode.acc_seg: 85.9756, loss: 0.3500 2023-11-02 05:52:49,617 - mmseg - INFO - Iter [10650/80000] lr: 2.809e-06, eta: 1 day, 1:39:26, time: 1.216, data_time: 0.008, memory: 38534, decode.loss_ce: 0.3660, decode.acc_seg: 85.7930, loss: 0.3660 2023-11-02 05:53:50,425 - mmseg - INFO - Iter [10700/80000] lr: 2.807e-06, eta: 1 day, 1:37:42, time: 1.216, data_time: 0.008, memory: 38534, decode.loss_ce: 0.3656, decode.acc_seg: 84.8869, loss: 0.3656 2023-11-02 05:54:51,135 - mmseg - INFO - Iter [10750/80000] lr: 2.804e-06, eta: 1 day, 1:35:58, time: 1.214, data_time: 0.008, memory: 38534, decode.loss_ce: 0.3694, decode.acc_seg: 85.5797, loss: 0.3694 2023-11-02 05:55:51,885 - mmseg - INFO - Iter [10800/80000] lr: 2.802e-06, eta: 1 day, 1:34:14, time: 1.215, data_time: 0.008, memory: 38534, decode.loss_ce: 0.3673, decode.acc_seg: 85.6794, loss: 0.3673 2023-11-02 05:56:52,676 - mmseg - INFO - Iter [10850/80000] lr: 2.800e-06, eta: 1 day, 1:32:31, time: 1.216, data_time: 0.008, memory: 38534, decode.loss_ce: 0.3704, decode.acc_seg: 85.6487, loss: 0.3704 2023-11-02 05:57:53,422 - mmseg - INFO - Iter [10900/80000] lr: 2.798e-06, eta: 1 day, 1:30:48, time: 1.215, data_time: 0.008, memory: 38534, decode.loss_ce: 0.3827, decode.acc_seg: 85.1995, loss: 0.3827 2023-11-02 05:58:54,198 - mmseg - INFO - Iter [10950/80000] lr: 2.796e-06, eta: 1 day, 1:29:06, time: 1.216, data_time: 0.008, memory: 38534, decode.loss_ce: 0.3868, decode.acc_seg: 85.1678, loss: 0.3868 2023-11-02 05:59:55,001 - mmseg - INFO - Saving checkpoint at 11000 iterations 2023-11-02 06:00:54,586 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 06:00:54,586 - mmseg - INFO - Iter [11000/80000] lr: 2.794e-06, eta: 1 day, 1:33:38, time: 2.408, data_time: 0.008, memory: 38534, decode.loss_ce: 0.3624, decode.acc_seg: 85.7313, loss: 0.3624 2023-11-02 06:01:53,199 - mmseg - INFO - per class results: 2023-11-02 06:01:53,205 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 79.26 | 87.67 | | building | 83.15 | 93.78 | | sky | 94.35 | 97.08 | | floor | 82.93 | 90.71 | | tree | 75.6 | 87.95 | | ceiling | 84.79 | 93.43 | | road | 85.73 | 91.47 | | bed | 89.44 | 97.82 | | windowpane | 65.27 | 80.0 | | grass | 66.3 | 85.93 | | cabinet | 62.18 | 69.5 | | sidewalk | 68.54 | 79.88 | | person | 81.98 | 89.74 | | earth | 38.63 | 59.58 | | door | 57.91 | 76.93 | | table | 64.76 | 80.12 | | mountain | 60.24 | 74.34 | | plant | 53.58 | 60.63 | | curtain | 75.16 | 90.49 | | chair | 61.96 | 73.43 | | car | 85.93 | 92.15 | | water | 60.79 | 79.26 | | painting | 75.89 | 88.17 | | sofa | 80.69 | 89.85 | | shelf | 42.24 | 58.54 | | house | 41.16 | 54.52 | | sea | 68.58 | 86.91 | | mirror | 75.34 | 84.77 | | rug | 68.59 | 81.83 | | field | 23.3 | 27.54 | | armchair | 60.97 | 80.57 | | seat | 68.97 | 85.84 | | fence | 52.24 | 66.33 | | desk | 55.56 | 66.36 | | rock | 57.29 | 74.59 | | wardrobe | 52.53 | 71.03 | | lamp | 65.41 | 79.45 | | bathtub | 87.3 | 89.71 | | railing | 43.95 | 62.98 | | cushion | 56.71 | 63.59 | | base | 36.78 | 64.05 | | box | 29.6 | 35.74 | | column | 48.79 | 58.41 | | signboard | 39.99 | 54.1 | | chest of drawers | 45.0 | 79.31 | | counter | 36.16 | 45.14 | | sand | 49.88 | 73.93 | | sink | 74.59 | 79.86 | | skyscraper | 38.79 | 43.33 | | fireplace | 68.27 | 96.51 | | refrigerator | 74.91 | 94.58 | | grandstand | 48.52 | 82.32 | | path | 24.73 | 38.91 | | stairs | 36.75 | 50.58 | | runway | 70.55 | 89.66 | | case | 60.98 | 73.11 | | pool table | 93.43 | 97.42 | | pillow | 52.93 | 60.16 | | screen door | 72.59 | 77.28 | | stairway | 55.99 | 64.01 | | river | 16.08 | 25.62 | | bridge | 74.08 | 85.0 | | bookcase | 31.59 | 65.81 | | blind | 34.87 | 35.56 | | coffee table | 58.21 | 90.79 | | toilet | 87.88 | 92.54 | | flower | 38.34 | 51.05 | | book | 36.08 | 43.75 | | hill | 6.4 | 10.84 | | bench | 57.68 | 72.67 | | countertop | 58.68 | 79.63 | | stove | 81.53 | 90.84 | | palm | 47.9 | 83.74 | | kitchen island | 47.81 | 85.57 | | computer | 78.18 | 89.42 | | swivel chair | 49.27 | 80.26 | | boat | 78.22 | 88.85 | | bar | 57.63 | 72.65 | | arcade machine | 86.64 | 89.3 | | hovel | 23.37 | 26.45 | | bus | 91.15 | 95.45 | | towel | 71.11 | 83.97 | | light | 42.5 | 46.61 | | truck | 45.94 | 54.93 | | tower | 26.53 | 44.84 | | chandelier | 67.52 | 80.95 | | awning | 34.24 | 40.27 | | streetlight | 27.53 | 35.22 | | booth | 53.15 | 65.35 | | television receiver | 76.35 | 91.22 | | airplane | 80.57 | 91.24 | | dirt track | 8.36 | 44.23 | | apparel | 50.17 | 84.11 | | pole | 22.91 | 31.77 | | land | 1.02 | 2.5 | | bannister | 14.68 | 19.14 | | escalator | 61.3 | 82.59 | | ottoman | 46.42 | 71.27 | | bottle | 34.33 | 46.46 | | buffet | 56.35 | 81.17 | | poster | 33.06 | 38.02 | | stage | 25.78 | 36.16 | | van | 50.04 | 70.54 | | ship | 9.72 | 9.79 | | fountain | 25.98 | 26.17 | | conveyer belt | 83.8 | 94.22 | | canopy | 41.01 | 61.98 | | washer | 80.28 | 83.56 | | plaything | 32.86 | 43.42 | | swimming pool | 65.22 | 67.39 | | stool | 49.4 | 60.54 | | barrel | 59.64 | 79.69 | | basket | 46.31 | 58.42 | | waterfall | 45.22 | 50.08 | | tent | 95.98 | 97.72 | | bag | 16.55 | 18.23 | | minibike | 70.34 | 85.58 | | cradle | 83.94 | 96.96 | | oven | 63.49 | 75.57 | | ball | 27.5 | 28.96 | | food | 66.22 | 79.01 | | step | 17.58 | 23.45 | | tank | 57.07 | 66.42 | | trade name | 16.15 | 17.29 | | microwave | 88.44 | 93.77 | | pot | 54.43 | 62.68 | | animal | 71.94 | 74.73 | | bicycle | 56.26 | 86.16 | | lake | 0.28 | 0.35 | | dishwasher | 74.14 | 77.43 | | screen | 54.0 | 70.27 | | blanket | 25.28 | 28.16 | | sculpture | 65.56 | 73.3 | | hood | 59.53 | 71.38 | | sconce | 52.06 | 71.36 | | vase | 42.88 | 61.82 | | traffic light | 32.18 | 50.3 | | tray | 14.61 | 18.26 | | ashcan | 51.58 | 64.82 | | fan | 59.48 | 73.12 | | pier | 36.21 | 41.43 | | crt screen | 15.0 | 25.0 | | plate | 56.62 | 66.11 | | monitor | 50.46 | 67.65 | | bulletin board | 57.73 | 67.92 | | shower | 0.01 | 0.01 | | radiator | 63.04 | 75.7 | | glass | 14.58 | 15.35 | | clock | 41.87 | 52.46 | | flag | 65.09 | 72.78 | +---------------------+-------+-------+ 2023-11-02 06:01:53,205 - mmseg - INFO - Summary: 2023-11-02 06:01:53,205 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 84.52 | 53.62 | 65.92 | +-------+-------+-------+ 2023-11-02 06:01:53,206 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 06:01:53,206 - mmseg - INFO - Iter(val) [250] aAcc: 0.8452, mIoU: 0.5362, mAcc: 0.6592, IoU.wall: 0.7926, IoU.building: 0.8315, IoU.sky: 0.9435, IoU.floor: 0.8293, IoU.tree: 0.7560, IoU.ceiling: 0.8479, IoU.road: 0.8573, IoU.bed : 0.8944, IoU.windowpane: 0.6527, IoU.grass: 0.6630, IoU.cabinet: 0.6218, IoU.sidewalk: 0.6854, IoU.person: 0.8198, IoU.earth: 0.3863, IoU.door: 0.5791, IoU.table: 0.6476, IoU.mountain: 0.6024, IoU.plant: 0.5358, IoU.curtain: 0.7516, IoU.chair: 0.6196, IoU.car: 0.8593, IoU.water: 0.6079, IoU.painting: 0.7589, IoU.sofa: 0.8069, IoU.shelf: 0.4224, IoU.house: 0.4116, IoU.sea: 0.6858, IoU.mirror: 0.7534, IoU.rug: 0.6859, IoU.field: 0.2330, IoU.armchair: 0.6097, IoU.seat: 0.6897, IoU.fence: 0.5224, IoU.desk: 0.5556, IoU.rock: 0.5729, IoU.wardrobe: 0.5253, IoU.lamp: 0.6541, IoU.bathtub: 0.8730, IoU.railing: 0.4395, IoU.cushion: 0.5671, IoU.base: 0.3678, IoU.box: 0.2960, IoU.column: 0.4879, IoU.signboard: 0.3999, IoU.chest of drawers: 0.4500, IoU.counter: 0.3616, IoU.sand: 0.4988, IoU.sink: 0.7459, IoU.skyscraper: 0.3879, IoU.fireplace: 0.6827, IoU.refrigerator: 0.7491, IoU.grandstand: 0.4852, IoU.path: 0.2473, IoU.stairs: 0.3675, IoU.runway: 0.7055, IoU.case: 0.6098, IoU.pool table: 0.9343, IoU.pillow: 0.5293, IoU.screen door: 0.7259, IoU.stairway: 0.5599, IoU.river: 0.1608, IoU.bridge: 0.7408, IoU.bookcase: 0.3159, IoU.blind: 0.3487, IoU.coffee table: 0.5821, IoU.toilet: 0.8788, IoU.flower: 0.3834, IoU.book: 0.3608, IoU.hill: 0.0640, IoU.bench: 0.5768, IoU.countertop: 0.5868, IoU.stove: 0.8153, IoU.palm: 0.4790, IoU.kitchen island: 0.4781, IoU.computer: 0.7818, IoU.swivel chair: 0.4927, IoU.boat: 0.7822, IoU.bar: 0.5763, IoU.arcade machine: 0.8664, IoU.hovel: 0.2337, IoU.bus: 0.9115, IoU.towel: 0.7111, IoU.light: 0.4250, IoU.truck: 0.4594, IoU.tower: 0.2653, IoU.chandelier: 0.6752, IoU.awning: 0.3424, IoU.streetlight: 0.2753, IoU.booth: 0.5315, IoU.television receiver: 0.7635, IoU.airplane: 0.8057, IoU.dirt track: 0.0836, IoU.apparel: 0.5017, IoU.pole: 0.2291, IoU.land: 0.0102, IoU.bannister: 0.1468, IoU.escalator: 0.6130, IoU.ottoman: 0.4642, IoU.bottle: 0.3433, IoU.buffet: 0.5635, IoU.poster: 0.3306, IoU.stage: 0.2578, IoU.van: 0.5004, IoU.ship: 0.0972, IoU.fountain: 0.2598, IoU.conveyer belt: 0.8380, IoU.canopy: 0.4101, IoU.washer: 0.8028, IoU.plaything: 0.3286, IoU.swimming pool: 0.6522, IoU.stool: 0.4940, IoU.barrel: 0.5964, IoU.basket: 0.4631, IoU.waterfall: 0.4522, IoU.tent: 0.9598, IoU.bag: 0.1655, IoU.minibike: 0.7034, IoU.cradle: 0.8394, IoU.oven: 0.6349, IoU.ball: 0.2750, IoU.food: 0.6622, IoU.step: 0.1758, IoU.tank: 0.5707, IoU.trade name: 0.1615, IoU.microwave: 0.8844, IoU.pot: 0.5443, IoU.animal: 0.7194, IoU.bicycle: 0.5626, IoU.lake: 0.0028, IoU.dishwasher: 0.7414, IoU.screen: 0.5400, IoU.blanket: 0.2528, IoU.sculpture: 0.6556, IoU.hood: 0.5953, IoU.sconce: 0.5206, IoU.vase: 0.4288, IoU.traffic light: 0.3218, IoU.tray: 0.1461, IoU.ashcan: 0.5158, IoU.fan: 0.5948, IoU.pier: 0.3621, IoU.crt screen: 0.1500, IoU.plate: 0.5662, IoU.monitor: 0.5046, IoU.bulletin board: 0.5773, IoU.shower: 0.0001, IoU.radiator: 0.6304, IoU.glass: 0.1458, IoU.clock: 0.4187, IoU.flag: 0.6509, Acc.wall: 0.8767, Acc.building: 0.9378, Acc.sky: 0.9708, Acc.floor: 0.9071, Acc.tree: 0.8795, Acc.ceiling: 0.9343, Acc.road: 0.9147, Acc.bed : 0.9782, Acc.windowpane: 0.8000, Acc.grass: 0.8593, Acc.cabinet: 0.6950, Acc.sidewalk: 0.7988, Acc.person: 0.8974, Acc.earth: 0.5958, Acc.door: 0.7693, Acc.table: 0.8012, Acc.mountain: 0.7434, Acc.plant: 0.6063, Acc.curtain: 0.9049, Acc.chair: 0.7343, Acc.car: 0.9215, Acc.water: 0.7926, Acc.painting: 0.8817, Acc.sofa: 0.8985, Acc.shelf: 0.5854, Acc.house: 0.5452, Acc.sea: 0.8691, Acc.mirror: 0.8477, Acc.rug: 0.8183, Acc.field: 0.2754, Acc.armchair: 0.8057, Acc.seat: 0.8584, Acc.fence: 0.6633, Acc.desk: 0.6636, Acc.rock: 0.7459, Acc.wardrobe: 0.7103, Acc.lamp: 0.7945, Acc.bathtub: 0.8971, Acc.railing: 0.6298, Acc.cushion: 0.6359, Acc.base: 0.6405, Acc.box: 0.3574, Acc.column: 0.5841, Acc.signboard: 0.5410, Acc.chest of drawers: 0.7931, Acc.counter: 0.4514, Acc.sand: 0.7393, Acc.sink: 0.7986, Acc.skyscraper: 0.4333, Acc.fireplace: 0.9651, Acc.refrigerator: 0.9458, Acc.grandstand: 0.8232, Acc.path: 0.3891, Acc.stairs: 0.5058, Acc.runway: 0.8966, Acc.case: 0.7311, Acc.pool table: 0.9742, Acc.pillow: 0.6016, Acc.screen door: 0.7728, Acc.stairway: 0.6401, Acc.river: 0.2562, Acc.bridge: 0.8500, Acc.bookcase: 0.6581, Acc.blind: 0.3556, Acc.coffee table: 0.9079, Acc.toilet: 0.9254, Acc.flower: 0.5105, Acc.book: 0.4375, Acc.hill: 0.1084, Acc.bench: 0.7267, Acc.countertop: 0.7963, Acc.stove: 0.9084, Acc.palm: 0.8374, Acc.kitchen island: 0.8557, Acc.computer: 0.8942, Acc.swivel chair: 0.8026, Acc.boat: 0.8885, Acc.bar: 0.7265, Acc.arcade machine: 0.8930, Acc.hovel: 0.2645, Acc.bus: 0.9545, Acc.towel: 0.8397, Acc.light: 0.4661, Acc.truck: 0.5493, Acc.tower: 0.4484, Acc.chandelier: 0.8095, Acc.awning: 0.4027, Acc.streetlight: 0.3522, Acc.booth: 0.6535, Acc.television receiver: 0.9122, Acc.airplane: 0.9124, Acc.dirt track: 0.4423, Acc.apparel: 0.8411, Acc.pole: 0.3177, Acc.land: 0.0250, Acc.bannister: 0.1914, Acc.escalator: 0.8259, Acc.ottoman: 0.7127, Acc.bottle: 0.4646, Acc.buffet: 0.8117, Acc.poster: 0.3802, Acc.stage: 0.3616, Acc.van: 0.7054, Acc.ship: 0.0979, Acc.fountain: 0.2617, Acc.conveyer belt: 0.9422, Acc.canopy: 0.6198, Acc.washer: 0.8356, Acc.plaything: 0.4342, Acc.swimming pool: 0.6739, Acc.stool: 0.6054, Acc.barrel: 0.7969, Acc.basket: 0.5842, Acc.waterfall: 0.5008, Acc.tent: 0.9772, Acc.bag: 0.1823, Acc.minibike: 0.8558, Acc.cradle: 0.9696, Acc.oven: 0.7557, Acc.ball: 0.2896, Acc.food: 0.7901, Acc.step: 0.2345, Acc.tank: 0.6642, Acc.trade name: 0.1729, Acc.microwave: 0.9377, Acc.pot: 0.6268, Acc.animal: 0.7473, Acc.bicycle: 0.8616, Acc.lake: 0.0035, Acc.dishwasher: 0.7743, Acc.screen: 0.7027, Acc.blanket: 0.2816, Acc.sculpture: 0.7330, Acc.hood: 0.7138, Acc.sconce: 0.7136, Acc.vase: 0.6182, Acc.traffic light: 0.5030, Acc.tray: 0.1826, Acc.ashcan: 0.6482, Acc.fan: 0.7312, Acc.pier: 0.4143, Acc.crt screen: 0.2500, Acc.plate: 0.6611, Acc.monitor: 0.6765, Acc.bulletin board: 0.6792, Acc.shower: 0.0001, Acc.radiator: 0.7570, Acc.glass: 0.1535, Acc.clock: 0.5246, Acc.flag: 0.7278 2023-11-02 06:02:54,079 - mmseg - INFO - Iter [11050/80000] lr: 2.792e-06, eta: 1 day, 1:38:01, time: 2.390, data_time: 1.180, memory: 38534, decode.loss_ce: 0.3711, decode.acc_seg: 85.7306, loss: 0.3711 2023-11-02 06:03:54,900 - mmseg - INFO - Iter [11100/80000] lr: 2.790e-06, eta: 1 day, 1:36:16, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3734, decode.acc_seg: 85.3892, loss: 0.3734 2023-11-02 06:04:55,666 - mmseg - INFO - Iter [11150/80000] lr: 2.788e-06, eta: 1 day, 1:34:31, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3657, decode.acc_seg: 85.9928, loss: 0.3657 2023-11-02 06:05:56,406 - mmseg - INFO - Iter [11200/80000] lr: 2.786e-06, eta: 1 day, 1:32:47, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3702, decode.acc_seg: 85.1427, loss: 0.3702 2023-11-02 06:06:57,187 - mmseg - INFO - Iter [11250/80000] lr: 2.784e-06, eta: 1 day, 1:31:03, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3683, decode.acc_seg: 85.3734, loss: 0.3683 2023-11-02 06:07:57,937 - mmseg - INFO - Iter [11300/80000] lr: 2.782e-06, eta: 1 day, 1:29:19, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3716, decode.acc_seg: 85.3080, loss: 0.3716 2023-11-02 06:08:58,708 - mmseg - INFO - Iter [11350/80000] lr: 2.780e-06, eta: 1 day, 1:27:36, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3666, decode.acc_seg: 85.6045, loss: 0.3666 2023-11-02 06:10:01,787 - mmseg - INFO - Iter [11400/80000] lr: 2.778e-06, eta: 1 day, 1:26:07, time: 1.262, data_time: 0.052, memory: 38534, decode.loss_ce: 0.3444, decode.acc_seg: 86.2484, loss: 0.3444 2023-11-02 06:11:02,512 - mmseg - INFO - Iter [11450/80000] lr: 2.776e-06, eta: 1 day, 1:24:25, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3542, decode.acc_seg: 86.3118, loss: 0.3542 2023-11-02 06:12:03,270 - mmseg - INFO - Iter [11500/80000] lr: 2.774e-06, eta: 1 day, 1:22:42, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3477, decode.acc_seg: 86.3337, loss: 0.3477 2023-11-02 06:13:04,043 - mmseg - INFO - Iter [11550/80000] lr: 2.772e-06, eta: 1 day, 1:21:01, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3720, decode.acc_seg: 85.3428, loss: 0.3720 2023-11-02 06:14:04,838 - mmseg - INFO - Iter [11600/80000] lr: 2.770e-06, eta: 1 day, 1:19:19, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3420, decode.acc_seg: 86.6423, loss: 0.3420 2023-11-02 06:15:05,604 - mmseg - INFO - Iter [11650/80000] lr: 2.768e-06, eta: 1 day, 1:17:38, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3495, decode.acc_seg: 86.4520, loss: 0.3495 2023-11-02 06:16:06,304 - mmseg - INFO - Iter [11700/80000] lr: 2.766e-06, eta: 1 day, 1:15:57, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3360, decode.acc_seg: 86.5240, loss: 0.3360 2023-11-02 06:17:07,030 - mmseg - INFO - Iter [11750/80000] lr: 2.764e-06, eta: 1 day, 1:14:17, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3317, decode.acc_seg: 86.8183, loss: 0.3317 2023-11-02 06:18:07,804 - mmseg - INFO - Iter [11800/80000] lr: 2.762e-06, eta: 1 day, 1:12:37, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3601, decode.acc_seg: 86.3546, loss: 0.3601 2023-11-02 06:19:08,566 - mmseg - INFO - Iter [11850/80000] lr: 2.760e-06, eta: 1 day, 1:10:57, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3701, decode.acc_seg: 85.3262, loss: 0.3701 2023-11-02 06:20:09,316 - mmseg - INFO - Iter [11900/80000] lr: 2.758e-06, eta: 1 day, 1:09:17, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3539, decode.acc_seg: 85.8486, loss: 0.3539 2023-11-02 06:21:10,080 - mmseg - INFO - Iter [11950/80000] lr: 2.756e-06, eta: 1 day, 1:07:38, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3520, decode.acc_seg: 86.0260, loss: 0.3520 2023-11-02 06:22:10,854 - mmseg - INFO - Saving checkpoint at 12000 iterations 2023-11-02 06:23:06,029 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 06:23:06,029 - mmseg - INFO - Iter [12000/80000] lr: 2.754e-06, eta: 1 day, 1:11:12, time: 2.319, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3581, decode.acc_seg: 85.7548, loss: 0.3581 2023-11-02 06:24:04,121 - mmseg - INFO - per class results: 2023-11-02 06:24:04,126 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 79.53 | 88.42 | | building | 83.92 | 92.71 | | sky | 94.22 | 97.27 | | floor | 82.13 | 90.25 | | tree | 76.0 | 89.8 | | ceiling | 85.55 | 92.48 | | road | 84.75 | 91.55 | | bed | 91.18 | 96.1 | | windowpane | 65.21 | 79.26 | | grass | 69.5 | 83.43 | | cabinet | 62.66 | 71.13 | | sidewalk | 68.98 | 85.69 | | person | 81.69 | 91.1 | | earth | 39.06 | 49.19 | | door | 55.71 | 73.28 | | table | 65.99 | 79.88 | | mountain | 60.89 | 72.58 | | plant | 54.51 | 66.11 | | curtain | 74.4 | 87.91 | | chair | 60.84 | 72.21 | | car | 84.32 | 94.16 | | water | 59.09 | 74.64 | | painting | 77.07 | 86.8 | | sofa | 78.95 | 91.72 | | shelf | 46.48 | 64.07 | | house | 57.34 | 72.03 | | sea | 74.46 | 89.13 | | mirror | 76.77 | 84.88 | | rug | 67.4 | 85.03 | | field | 35.79 | 60.27 | | armchair | 54.94 | 63.65 | | seat | 63.64 | 85.93 | | fence | 50.6 | 68.22 | | desk | 55.31 | 76.48 | | rock | 57.46 | 81.7 | | wardrobe | 49.97 | 66.17 | | lamp | 65.45 | 78.67 | | bathtub | 83.25 | 84.78 | | railing | 44.03 | 64.03 | | cushion | 61.69 | 73.31 | | base | 34.92 | 47.44 | | box | 35.46 | 45.56 | | column | 50.63 | 66.03 | | signboard | 39.4 | 55.11 | | chest of drawers | 44.69 | 64.17 | | counter | 34.59 | 41.28 | | sand | 54.99 | 80.62 | | sink | 75.36 | 87.56 | | skyscraper | 44.95 | 64.47 | | fireplace | 71.22 | 92.13 | | refrigerator | 80.3 | 90.64 | | grandstand | 47.85 | 83.55 | | path | 26.55 | 37.14 | | stairs | 20.16 | 24.01 | | runway | 72.38 | 96.23 | | case | 63.06 | 72.51 | | pool table | 93.31 | 97.34 | | pillow | 63.78 | 75.64 | | screen door | 42.82 | 46.79 | | stairway | 44.09 | 70.09 | | river | 17.66 | 36.77 | | bridge | 68.05 | 78.79 | | bookcase | 35.57 | 52.52 | | blind | 40.47 | 44.83 | | coffee table | 65.18 | 85.29 | | toilet | 88.3 | 92.02 | | flower | 38.03 | 51.06 | | book | 52.92 | 73.56 | | hill | 5.83 | 10.0 | | bench | 52.58 | 57.86 | | countertop | 60.74 | 69.37 | | stove | 81.64 | 90.51 | | palm | 54.54 | 66.38 | | kitchen island | 47.37 | 84.89 | | computer | 77.16 | 88.54 | | swivel chair | 44.56 | 63.86 | | boat | 65.85 | 90.17 | | bar | 57.29 | 80.61 | | arcade machine | 88.75 | 96.43 | | hovel | 39.05 | 40.91 | | bus | 90.24 | 96.23 | | towel | 71.78 | 86.34 | | light | 48.02 | 56.14 | | truck | 43.86 | 57.91 | | tower | 33.38 | 55.2 | | chandelier | 66.57 | 81.2 | | awning | 45.37 | 66.83 | | streetlight | 27.31 | 38.89 | | booth | 36.65 | 63.67 | | television receiver | 76.81 | 88.85 | | airplane | 78.57 | 91.12 | | dirt track | 16.54 | 56.14 | | apparel | 48.77 | 72.38 | | pole | 20.89 | 26.7 | | land | 13.16 | 28.8 | | bannister | 15.99 | 24.45 | | escalator | 46.8 | 59.05 | | ottoman | 47.49 | 69.88 | | bottle | 33.37 | 40.4 | | buffet | 45.6 | 85.38 | | poster | 31.62 | 41.36 | | stage | 16.26 | 31.53 | | van | 31.22 | 38.16 | | ship | 66.51 | 76.55 | | fountain | 22.9 | 23.7 | | conveyer belt | 75.83 | 94.99 | | canopy | 45.22 | 67.44 | | washer | 85.63 | 90.37 | | plaything | 31.89 | 46.14 | | swimming pool | 52.49 | 76.82 | | stool | 47.78 | 61.97 | | barrel | 46.69 | 67.71 | | basket | 43.47 | 57.29 | | waterfall | 46.59 | 51.26 | | tent | 93.46 | 97.73 | | bag | 21.96 | 25.07 | | minibike | 72.26 | 87.22 | | cradle | 83.64 | 96.47 | | oven | 58.91 | 73.89 | | ball | 51.46 | 61.09 | | food | 68.18 | 77.76 | | step | 15.47 | 22.97 | | tank | 70.43 | 82.01 | | trade name | 17.32 | 18.42 | | microwave | 86.85 | 95.42 | | pot | 56.35 | 65.56 | | animal | 67.52 | 69.07 | | bicycle | 60.96 | 75.81 | | lake | 62.75 | 62.98 | | dishwasher | 71.36 | 81.37 | | screen | 55.86 | 80.4 | | blanket | 42.88 | 53.92 | | sculpture | 68.74 | 81.85 | | hood | 56.25 | 69.78 | | sconce | 48.53 | 58.2 | | vase | 43.42 | 60.49 | | traffic light | 30.77 | 58.26 | | tray | 16.65 | 20.07 | | ashcan | 47.43 | 70.25 | | fan | 60.05 | 71.41 | | pier | 33.85 | 45.37 | | crt screen | 11.88 | 18.81 | | plate | 54.22 | 76.41 | | monitor | 53.34 | 75.7 | | bulletin board | 53.79 | 70.16 | | shower | 0.24 | 0.29 | | radiator | 62.85 | 74.17 | | glass | 18.47 | 19.72 | | clock | 35.67 | 37.41 | | flag | 65.16 | 73.7 | +---------------------+-------+-------+ 2023-11-02 06:24:04,126 - mmseg - INFO - Summary: 2023-11-02 06:24:04,127 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 84.84 | 54.49 | 67.79 | +-------+-------+-------+ 2023-11-02 06:24:04,127 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 06:24:04,127 - mmseg - INFO - Iter(val) [250] aAcc: 0.8484, mIoU: 0.5449, mAcc: 0.6779, IoU.wall: 0.7953, IoU.building: 0.8392, IoU.sky: 0.9422, IoU.floor: 0.8213, IoU.tree: 0.7600, IoU.ceiling: 0.8555, IoU.road: 0.8475, IoU.bed : 0.9118, IoU.windowpane: 0.6521, IoU.grass: 0.6950, IoU.cabinet: 0.6266, IoU.sidewalk: 0.6898, IoU.person: 0.8169, IoU.earth: 0.3906, IoU.door: 0.5571, IoU.table: 0.6599, IoU.mountain: 0.6089, IoU.plant: 0.5451, IoU.curtain: 0.7440, IoU.chair: 0.6084, IoU.car: 0.8432, IoU.water: 0.5909, IoU.painting: 0.7707, IoU.sofa: 0.7895, IoU.shelf: 0.4648, IoU.house: 0.5734, IoU.sea: 0.7446, IoU.mirror: 0.7677, IoU.rug: 0.6740, IoU.field: 0.3579, IoU.armchair: 0.5494, IoU.seat: 0.6364, IoU.fence: 0.5060, IoU.desk: 0.5531, IoU.rock: 0.5746, IoU.wardrobe: 0.4997, IoU.lamp: 0.6545, IoU.bathtub: 0.8325, IoU.railing: 0.4403, IoU.cushion: 0.6169, IoU.base: 0.3492, IoU.box: 0.3546, IoU.column: 0.5063, IoU.signboard: 0.3940, IoU.chest of drawers: 0.4469, IoU.counter: 0.3459, IoU.sand: 0.5499, IoU.sink: 0.7536, IoU.skyscraper: 0.4495, IoU.fireplace: 0.7122, IoU.refrigerator: 0.8030, IoU.grandstand: 0.4785, IoU.path: 0.2655, IoU.stairs: 0.2016, IoU.runway: 0.7238, IoU.case: 0.6306, IoU.pool table: 0.9331, IoU.pillow: 0.6378, IoU.screen door: 0.4282, IoU.stairway: 0.4409, IoU.river: 0.1766, IoU.bridge: 0.6805, IoU.bookcase: 0.3557, IoU.blind: 0.4047, IoU.coffee table: 0.6518, IoU.toilet: 0.8830, IoU.flower: 0.3803, IoU.book: 0.5292, IoU.hill: 0.0583, IoU.bench: 0.5258, IoU.countertop: 0.6074, IoU.stove: 0.8164, IoU.palm: 0.5454, IoU.kitchen island: 0.4737, IoU.computer: 0.7716, IoU.swivel chair: 0.4456, IoU.boat: 0.6585, IoU.bar: 0.5729, IoU.arcade machine: 0.8875, IoU.hovel: 0.3905, IoU.bus: 0.9024, IoU.towel: 0.7178, IoU.light: 0.4802, IoU.truck: 0.4386, IoU.tower: 0.3338, IoU.chandelier: 0.6657, IoU.awning: 0.4537, IoU.streetlight: 0.2731, IoU.booth: 0.3665, IoU.television receiver: 0.7681, IoU.airplane: 0.7857, IoU.dirt track: 0.1654, IoU.apparel: 0.4877, IoU.pole: 0.2089, IoU.land: 0.1316, IoU.bannister: 0.1599, IoU.escalator: 0.4680, IoU.ottoman: 0.4749, IoU.bottle: 0.3337, IoU.buffet: 0.4560, IoU.poster: 0.3162, IoU.stage: 0.1626, IoU.van: 0.3122, IoU.ship: 0.6651, IoU.fountain: 0.2290, IoU.conveyer belt: 0.7583, IoU.canopy: 0.4522, IoU.washer: 0.8563, IoU.plaything: 0.3189, IoU.swimming pool: 0.5249, IoU.stool: 0.4778, IoU.barrel: 0.4669, IoU.basket: 0.4347, IoU.waterfall: 0.4659, IoU.tent: 0.9346, IoU.bag: 0.2196, IoU.minibike: 0.7226, IoU.cradle: 0.8364, IoU.oven: 0.5891, IoU.ball: 0.5146, IoU.food: 0.6818, IoU.step: 0.1547, IoU.tank: 0.7043, IoU.trade name: 0.1732, IoU.microwave: 0.8685, IoU.pot: 0.5635, IoU.animal: 0.6752, IoU.bicycle: 0.6096, IoU.lake: 0.6275, IoU.dishwasher: 0.7136, IoU.screen: 0.5586, IoU.blanket: 0.4288, IoU.sculpture: 0.6874, IoU.hood: 0.5625, IoU.sconce: 0.4853, IoU.vase: 0.4342, IoU.traffic light: 0.3077, IoU.tray: 0.1665, IoU.ashcan: 0.4743, IoU.fan: 0.6005, IoU.pier: 0.3385, IoU.crt screen: 0.1188, IoU.plate: 0.5422, IoU.monitor: 0.5334, IoU.bulletin board: 0.5379, IoU.shower: 0.0024, IoU.radiator: 0.6285, IoU.glass: 0.1847, IoU.clock: 0.3567, IoU.flag: 0.6516, Acc.wall: 0.8842, Acc.building: 0.9271, Acc.sky: 0.9727, Acc.floor: 0.9025, Acc.tree: 0.8980, Acc.ceiling: 0.9248, Acc.road: 0.9155, Acc.bed : 0.9610, Acc.windowpane: 0.7926, Acc.grass: 0.8343, Acc.cabinet: 0.7113, Acc.sidewalk: 0.8569, Acc.person: 0.9110, Acc.earth: 0.4919, Acc.door: 0.7328, Acc.table: 0.7988, Acc.mountain: 0.7258, Acc.plant: 0.6611, Acc.curtain: 0.8791, Acc.chair: 0.7221, Acc.car: 0.9416, Acc.water: 0.7464, Acc.painting: 0.8680, Acc.sofa: 0.9172, Acc.shelf: 0.6407, Acc.house: 0.7203, Acc.sea: 0.8913, Acc.mirror: 0.8488, Acc.rug: 0.8503, Acc.field: 0.6027, Acc.armchair: 0.6365, Acc.seat: 0.8593, Acc.fence: 0.6822, Acc.desk: 0.7648, Acc.rock: 0.8170, Acc.wardrobe: 0.6617, Acc.lamp: 0.7867, Acc.bathtub: 0.8478, Acc.railing: 0.6403, Acc.cushion: 0.7331, Acc.base: 0.4744, Acc.box: 0.4556, Acc.column: 0.6603, Acc.signboard: 0.5511, Acc.chest of drawers: 0.6417, Acc.counter: 0.4128, Acc.sand: 0.8062, Acc.sink: 0.8756, Acc.skyscraper: 0.6447, Acc.fireplace: 0.9213, Acc.refrigerator: 0.9064, Acc.grandstand: 0.8355, Acc.path: 0.3714, Acc.stairs: 0.2401, Acc.runway: 0.9623, Acc.case: 0.7251, Acc.pool table: 0.9734, Acc.pillow: 0.7564, Acc.screen door: 0.4679, Acc.stairway: 0.7009, Acc.river: 0.3677, Acc.bridge: 0.7879, Acc.bookcase: 0.5252, Acc.blind: 0.4483, Acc.coffee table: 0.8529, Acc.toilet: 0.9202, Acc.flower: 0.5106, Acc.book: 0.7356, Acc.hill: 0.1000, Acc.bench: 0.5786, Acc.countertop: 0.6937, Acc.stove: 0.9051, Acc.palm: 0.6638, Acc.kitchen island: 0.8489, Acc.computer: 0.8854, Acc.swivel chair: 0.6386, Acc.boat: 0.9017, Acc.bar: 0.8061, Acc.arcade machine: 0.9643, Acc.hovel: 0.4091, Acc.bus: 0.9623, Acc.towel: 0.8634, Acc.light: 0.5614, Acc.truck: 0.5791, Acc.tower: 0.5520, Acc.chandelier: 0.8120, Acc.awning: 0.6683, Acc.streetlight: 0.3889, Acc.booth: 0.6367, Acc.television receiver: 0.8885, Acc.airplane: 0.9112, Acc.dirt track: 0.5614, Acc.apparel: 0.7238, Acc.pole: 0.2670, Acc.land: 0.2880, Acc.bannister: 0.2445, Acc.escalator: 0.5905, Acc.ottoman: 0.6988, Acc.bottle: 0.4040, Acc.buffet: 0.8538, Acc.poster: 0.4136, Acc.stage: 0.3153, Acc.van: 0.3816, Acc.ship: 0.7655, Acc.fountain: 0.2370, Acc.conveyer belt: 0.9499, Acc.canopy: 0.6744, Acc.washer: 0.9037, Acc.plaything: 0.4614, Acc.swimming pool: 0.7682, Acc.stool: 0.6197, Acc.barrel: 0.6771, Acc.basket: 0.5729, Acc.waterfall: 0.5126, Acc.tent: 0.9773, Acc.bag: 0.2507, Acc.minibike: 0.8722, Acc.cradle: 0.9647, Acc.oven: 0.7389, Acc.ball: 0.6109, Acc.food: 0.7776, Acc.step: 0.2297, Acc.tank: 0.8201, Acc.trade name: 0.1842, Acc.microwave: 0.9542, Acc.pot: 0.6556, Acc.animal: 0.6907, Acc.bicycle: 0.7581, Acc.lake: 0.6298, Acc.dishwasher: 0.8137, Acc.screen: 0.8040, Acc.blanket: 0.5392, Acc.sculpture: 0.8185, Acc.hood: 0.6978, Acc.sconce: 0.5820, Acc.vase: 0.6049, Acc.traffic light: 0.5826, Acc.tray: 0.2007, Acc.ashcan: 0.7025, Acc.fan: 0.7141, Acc.pier: 0.4537, Acc.crt screen: 0.1881, Acc.plate: 0.7641, Acc.monitor: 0.7570, Acc.bulletin board: 0.7016, Acc.shower: 0.0029, Acc.radiator: 0.7417, Acc.glass: 0.1972, Acc.clock: 0.3741, Acc.flag: 0.7370 2023-11-02 06:25:04,945 - mmseg - INFO - Iter [12050/80000] lr: 2.752e-06, eta: 1 day, 1:15:00, time: 2.378, data_time: 1.169, memory: 38534, decode.loss_ce: 0.3674, decode.acc_seg: 85.6769, loss: 0.3674 2023-11-02 06:26:05,704 - mmseg - INFO - Iter [12100/80000] lr: 2.750e-06, eta: 1 day, 1:13:19, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3208, decode.acc_seg: 87.2789, loss: 0.3208 2023-11-02 06:27:06,494 - mmseg - INFO - Iter [12150/80000] lr: 2.748e-06, eta: 1 day, 1:11:38, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3285, decode.acc_seg: 86.6461, loss: 0.3285 2023-11-02 06:28:07,289 - mmseg - INFO - Iter [12200/80000] lr: 2.746e-06, eta: 1 day, 1:09:58, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3487, decode.acc_seg: 86.2041, loss: 0.3487 2023-11-02 06:29:08,022 - mmseg - INFO - Iter [12250/80000] lr: 2.744e-06, eta: 1 day, 1:08:17, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3449, decode.acc_seg: 86.2752, loss: 0.3449 2023-11-02 06:30:08,749 - mmseg - INFO - Iter [12300/80000] lr: 2.742e-06, eta: 1 day, 1:06:37, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3422, decode.acc_seg: 86.3932, loss: 0.3422 2023-11-02 06:31:09,509 - mmseg - INFO - Iter [12350/80000] lr: 2.740e-06, eta: 1 day, 1:04:57, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3567, decode.acc_seg: 85.7319, loss: 0.3567 2023-11-02 06:32:10,276 - mmseg - INFO - Iter [12400/80000] lr: 2.738e-06, eta: 1 day, 1:03:18, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3485, decode.acc_seg: 86.2529, loss: 0.3485 2023-11-02 06:33:11,021 - mmseg - INFO - Iter [12450/80000] lr: 2.736e-06, eta: 1 day, 1:01:39, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3693, decode.acc_seg: 85.2660, loss: 0.3693 2023-11-02 06:34:11,790 - mmseg - INFO - Iter [12500/80000] lr: 2.734e-06, eta: 1 day, 1:00:00, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3753, decode.acc_seg: 85.3540, loss: 0.3753 2023-11-02 06:35:12,576 - mmseg - INFO - Iter [12550/80000] lr: 2.732e-06, eta: 1 day, 0:58:22, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3560, decode.acc_seg: 85.8710, loss: 0.3560 2023-11-02 06:36:13,345 - mmseg - INFO - Iter [12600/80000] lr: 2.730e-06, eta: 1 day, 0:56:44, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3605, decode.acc_seg: 85.9147, loss: 0.3605 2023-11-02 06:37:16,452 - mmseg - INFO - Iter [12650/80000] lr: 2.728e-06, eta: 1 day, 0:55:19, time: 1.262, data_time: 0.052, memory: 38534, decode.loss_ce: 0.3356, decode.acc_seg: 86.7319, loss: 0.3356 2023-11-02 06:38:17,221 - mmseg - INFO - Iter [12700/80000] lr: 2.726e-06, eta: 1 day, 0:53:41, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3329, decode.acc_seg: 86.1976, loss: 0.3329 2023-11-02 06:39:18,019 - mmseg - INFO - Iter [12750/80000] lr: 2.723e-06, eta: 1 day, 0:52:04, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3167, decode.acc_seg: 87.2553, loss: 0.3167 2023-11-02 06:40:19,379 - mmseg - INFO - Iter [12800/80000] lr: 2.721e-06, eta: 1 day, 0:50:30, time: 1.227, data_time: 0.020, memory: 38534, decode.loss_ce: 0.3179, decode.acc_seg: 87.4685, loss: 0.3179 2023-11-02 06:41:20,151 - mmseg - INFO - Iter [12850/80000] lr: 2.719e-06, eta: 1 day, 0:48:53, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3268, decode.acc_seg: 87.2687, loss: 0.3268 2023-11-02 06:42:20,918 - mmseg - INFO - Iter [12900/80000] lr: 2.717e-06, eta: 1 day, 0:47:17, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3482, decode.acc_seg: 86.5635, loss: 0.3482 2023-11-02 06:43:21,661 - mmseg - INFO - Iter [12950/80000] lr: 2.715e-06, eta: 1 day, 0:45:41, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3238, decode.acc_seg: 87.2029, loss: 0.3238 2023-11-02 06:44:22,436 - mmseg - INFO - Saving checkpoint at 13000 iterations 2023-11-02 06:45:14,297 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 06:45:14,298 - mmseg - INFO - Iter [13000/80000] lr: 2.713e-06, eta: 1 day, 0:48:32, time: 2.253, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3136, decode.acc_seg: 87.4238, loss: 0.3136 2023-11-02 06:46:12,451 - mmseg - INFO - per class results: 2023-11-02 06:46:12,457 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 79.76 | 88.5 | | building | 84.91 | 94.42 | | sky | 94.23 | 96.23 | | floor | 83.64 | 90.89 | | tree | 75.68 | 87.51 | | ceiling | 85.19 | 93.5 | | road | 85.07 | 92.26 | | bed | 91.03 | 96.0 | | windowpane | 65.52 | 80.69 | | grass | 67.49 | 77.68 | | cabinet | 65.37 | 75.46 | | sidewalk | 68.87 | 81.85 | | person | 82.19 | 91.87 | | earth | 38.35 | 54.86 | | door | 56.91 | 77.15 | | table | 66.66 | 81.41 | | mountain | 60.85 | 75.7 | | plant | 57.36 | 69.74 | | curtain | 77.82 | 89.7 | | chair | 62.3 | 77.01 | | car | 85.92 | 92.81 | | water | 52.81 | 61.18 | | painting | 74.65 | 90.49 | | sofa | 76.71 | 84.22 | | shelf | 45.59 | 66.34 | | house | 51.03 | 57.95 | | sea | 64.57 | 97.12 | | mirror | 75.28 | 86.95 | | rug | 68.79 | 78.91 | | field | 43.84 | 63.27 | | armchair | 56.91 | 77.83 | | seat | 62.89 | 83.72 | | fence | 49.31 | 68.02 | | desk | 55.81 | 76.76 | | rock | 56.35 | 85.47 | | wardrobe | 55.91 | 66.92 | | lamp | 66.63 | 81.83 | | bathtub | 81.77 | 83.21 | | railing | 41.89 | 55.22 | | cushion | 64.69 | 78.5 | | base | 36.87 | 58.19 | | box | 35.31 | 46.45 | | column | 48.79 | 63.71 | | signboard | 40.84 | 51.76 | | chest of drawers | 42.5 | 76.53 | | counter | 45.41 | 55.97 | | sand | 54.64 | 83.09 | | sink | 76.74 | 82.23 | | skyscraper | 47.41 | 60.13 | | fireplace | 70.76 | 90.84 | | refrigerator | 82.51 | 87.35 | | grandstand | 45.71 | 82.16 | | path | 21.92 | 28.21 | | stairs | 34.45 | 45.48 | | runway | 73.7 | 96.47 | | case | 59.99 | 82.85 | | pool table | 93.51 | 96.46 | | pillow | 60.99 | 68.28 | | screen door | 56.64 | 58.51 | | stairway | 53.67 | 66.61 | | river | 18.1 | 28.25 | | bridge | 74.56 | 88.77 | | bookcase | 33.36 | 53.85 | | blind | 36.45 | 37.16 | | coffee table | 61.75 | 89.37 | | toilet | 87.09 | 91.22 | | flower | 43.41 | 61.26 | | book | 50.45 | 75.11 | | hill | 7.01 | 12.82 | | bench | 51.37 | 62.85 | | countertop | 61.32 | 73.31 | | stove | 81.98 | 88.67 | | palm | 47.63 | 85.39 | | kitchen island | 49.42 | 80.06 | | computer | 78.25 | 85.89 | | swivel chair | 45.36 | 66.68 | | boat | 73.72 | 87.07 | | bar | 65.17 | 78.62 | | arcade machine | 82.29 | 88.72 | | hovel | 51.92 | 58.6 | | bus | 91.41 | 93.62 | | towel | 74.01 | 82.06 | | light | 47.68 | 54.14 | | truck | 47.61 | 60.7 | | tower | 20.92 | 27.11 | | chandelier | 66.28 | 83.66 | | awning | 31.2 | 38.02 | | streetlight | 26.53 | 34.68 | | booth | 33.7 | 51.57 | | television receiver | 72.93 | 86.91 | | airplane | 81.7 | 88.76 | | dirt track | 3.14 | 3.48 | | apparel | 52.43 | 68.3 | | pole | 24.3 | 32.21 | | land | 5.89 | 9.04 | | bannister | 16.83 | 25.49 | | escalator | 32.5 | 37.58 | | ottoman | 48.55 | 74.24 | | bottle | 25.56 | 31.97 | | buffet | 53.12 | 65.31 | | poster | 30.69 | 35.83 | | stage | 17.54 | 50.03 | | van | 47.77 | 64.18 | | ship | 63.3 | 64.81 | | fountain | 39.61 | 40.37 | | conveyer belt | 85.45 | 91.72 | | canopy | 42.4 | 55.65 | | washer | 78.87 | 82.58 | | plaything | 34.34 | 45.82 | | swimming pool | 53.69 | 78.19 | | stool | 49.65 | 64.38 | | barrel | 52.76 | 65.18 | | basket | 42.2 | 62.77 | | waterfall | 52.84 | 61.69 | | tent | 93.8 | 97.56 | | bag | 13.87 | 15.08 | | minibike | 70.84 | 80.91 | | cradle | 83.95 | 94.06 | | oven | 62.61 | 74.6 | | ball | 56.19 | 65.37 | | food | 46.48 | 47.66 | | step | 13.38 | 16.15 | | tank | 57.13 | 66.0 | | trade name | 36.72 | 43.99 | | microwave | 88.7 | 92.6 | | pot | 53.07 | 61.37 | | animal | 70.04 | 73.03 | | bicycle | 60.78 | 74.4 | | lake | 47.19 | 77.98 | | dishwasher | 66.16 | 66.87 | | screen | 63.31 | 88.71 | | blanket | 26.42 | 29.53 | | sculpture | 64.35 | 73.98 | | hood | 60.15 | 71.46 | | sconce | 51.77 | 59.09 | | vase | 43.64 | 59.29 | | traffic light | 32.68 | 51.72 | | tray | 11.49 | 12.45 | | ashcan | 50.61 | 63.09 | | fan | 57.94 | 67.73 | | pier | 37.54 | 45.36 | | crt screen | 4.77 | 13.52 | | plate | 57.4 | 71.96 | | monitor | 7.12 | 7.95 | | bulletin board | 58.06 | 72.89 | | shower | 0.25 | 0.27 | | radiator | 59.98 | 77.04 | | glass | 15.25 | 15.88 | | clock | 37.38 | 42.63 | | flag | 65.66 | 74.78 | +---------------------+-------+-------+ 2023-11-02 06:46:12,457 - mmseg - INFO - Summary: 2023-11-02 06:46:12,457 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 85.01 | 54.25 | 66.29 | +-------+-------+-------+ 2023-11-02 06:46:12,458 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 06:46:12,458 - mmseg - INFO - Iter(val) [250] aAcc: 0.8501, mIoU: 0.5425, mAcc: 0.6629, IoU.wall: 0.7976, IoU.building: 0.8491, IoU.sky: 0.9423, IoU.floor: 0.8364, IoU.tree: 0.7568, IoU.ceiling: 0.8519, IoU.road: 0.8507, IoU.bed : 0.9103, IoU.windowpane: 0.6552, IoU.grass: 0.6749, IoU.cabinet: 0.6537, IoU.sidewalk: 0.6887, IoU.person: 0.8219, IoU.earth: 0.3835, IoU.door: 0.5691, IoU.table: 0.6666, IoU.mountain: 0.6085, IoU.plant: 0.5736, IoU.curtain: 0.7782, IoU.chair: 0.6230, IoU.car: 0.8592, IoU.water: 0.5281, IoU.painting: 0.7465, IoU.sofa: 0.7671, IoU.shelf: 0.4559, IoU.house: 0.5103, IoU.sea: 0.6457, IoU.mirror: 0.7528, IoU.rug: 0.6879, IoU.field: 0.4384, IoU.armchair: 0.5691, IoU.seat: 0.6289, IoU.fence: 0.4931, IoU.desk: 0.5581, IoU.rock: 0.5635, IoU.wardrobe: 0.5591, IoU.lamp: 0.6663, IoU.bathtub: 0.8177, IoU.railing: 0.4189, IoU.cushion: 0.6469, IoU.base: 0.3687, IoU.box: 0.3531, IoU.column: 0.4879, IoU.signboard: 0.4084, IoU.chest of drawers: 0.4250, IoU.counter: 0.4541, IoU.sand: 0.5464, IoU.sink: 0.7674, IoU.skyscraper: 0.4741, IoU.fireplace: 0.7076, IoU.refrigerator: 0.8251, IoU.grandstand: 0.4571, IoU.path: 0.2192, IoU.stairs: 0.3445, IoU.runway: 0.7370, IoU.case: 0.5999, IoU.pool table: 0.9351, IoU.pillow: 0.6099, IoU.screen door: 0.5664, IoU.stairway: 0.5367, IoU.river: 0.1810, IoU.bridge: 0.7456, IoU.bookcase: 0.3336, IoU.blind: 0.3645, IoU.coffee table: 0.6175, IoU.toilet: 0.8709, IoU.flower: 0.4341, IoU.book: 0.5045, IoU.hill: 0.0701, IoU.bench: 0.5137, IoU.countertop: 0.6132, IoU.stove: 0.8198, IoU.palm: 0.4763, IoU.kitchen island: 0.4942, IoU.computer: 0.7825, IoU.swivel chair: 0.4536, IoU.boat: 0.7372, IoU.bar: 0.6517, IoU.arcade machine: 0.8229, IoU.hovel: 0.5192, IoU.bus: 0.9141, IoU.towel: 0.7401, IoU.light: 0.4768, IoU.truck: 0.4761, IoU.tower: 0.2092, IoU.chandelier: 0.6628, IoU.awning: 0.3120, IoU.streetlight: 0.2653, IoU.booth: 0.3370, IoU.television receiver: 0.7293, IoU.airplane: 0.8170, IoU.dirt track: 0.0314, IoU.apparel: 0.5243, IoU.pole: 0.2430, IoU.land: 0.0589, IoU.bannister: 0.1683, IoU.escalator: 0.3250, IoU.ottoman: 0.4855, IoU.bottle: 0.2556, IoU.buffet: 0.5312, IoU.poster: 0.3069, IoU.stage: 0.1754, IoU.van: 0.4777, IoU.ship: 0.6330, IoU.fountain: 0.3961, IoU.conveyer belt: 0.8545, IoU.canopy: 0.4240, IoU.washer: 0.7887, IoU.plaything: 0.3434, IoU.swimming pool: 0.5369, IoU.stool: 0.4965, IoU.barrel: 0.5276, IoU.basket: 0.4220, IoU.waterfall: 0.5284, IoU.tent: 0.9380, IoU.bag: 0.1387, IoU.minibike: 0.7084, IoU.cradle: 0.8395, IoU.oven: 0.6261, IoU.ball: 0.5619, IoU.food: 0.4648, IoU.step: 0.1338, IoU.tank: 0.5713, IoU.trade name: 0.3672, IoU.microwave: 0.8870, IoU.pot: 0.5307, IoU.animal: 0.7004, IoU.bicycle: 0.6078, IoU.lake: 0.4719, IoU.dishwasher: 0.6616, IoU.screen: 0.6331, IoU.blanket: 0.2642, IoU.sculpture: 0.6435, IoU.hood: 0.6015, IoU.sconce: 0.5177, IoU.vase: 0.4364, IoU.traffic light: 0.3268, IoU.tray: 0.1149, IoU.ashcan: 0.5061, IoU.fan: 0.5794, IoU.pier: 0.3754, IoU.crt screen: 0.0477, IoU.plate: 0.5740, IoU.monitor: 0.0712, IoU.bulletin board: 0.5806, IoU.shower: 0.0025, IoU.radiator: 0.5998, IoU.glass: 0.1525, IoU.clock: 0.3738, IoU.flag: 0.6566, Acc.wall: 0.8850, Acc.building: 0.9442, Acc.sky: 0.9623, Acc.floor: 0.9089, Acc.tree: 0.8751, Acc.ceiling: 0.9350, Acc.road: 0.9226, Acc.bed : 0.9600, Acc.windowpane: 0.8069, Acc.grass: 0.7768, Acc.cabinet: 0.7546, Acc.sidewalk: 0.8185, Acc.person: 0.9187, Acc.earth: 0.5486, Acc.door: 0.7715, Acc.table: 0.8141, Acc.mountain: 0.7570, Acc.plant: 0.6974, Acc.curtain: 0.8970, Acc.chair: 0.7701, Acc.car: 0.9281, Acc.water: 0.6118, Acc.painting: 0.9049, Acc.sofa: 0.8422, Acc.shelf: 0.6634, Acc.house: 0.5795, Acc.sea: 0.9712, Acc.mirror: 0.8695, Acc.rug: 0.7891, Acc.field: 0.6327, Acc.armchair: 0.7783, Acc.seat: 0.8372, Acc.fence: 0.6802, Acc.desk: 0.7676, Acc.rock: 0.8547, Acc.wardrobe: 0.6692, Acc.lamp: 0.8183, Acc.bathtub: 0.8321, Acc.railing: 0.5522, Acc.cushion: 0.7850, Acc.base: 0.5819, Acc.box: 0.4645, Acc.column: 0.6371, Acc.signboard: 0.5176, Acc.chest of drawers: 0.7653, Acc.counter: 0.5597, Acc.sand: 0.8309, Acc.sink: 0.8223, Acc.skyscraper: 0.6013, Acc.fireplace: 0.9084, Acc.refrigerator: 0.8735, Acc.grandstand: 0.8216, Acc.path: 0.2821, Acc.stairs: 0.4548, Acc.runway: 0.9647, Acc.case: 0.8285, Acc.pool table: 0.9646, Acc.pillow: 0.6828, Acc.screen door: 0.5851, Acc.stairway: 0.6661, Acc.river: 0.2825, Acc.bridge: 0.8877, Acc.bookcase: 0.5385, Acc.blind: 0.3716, Acc.coffee table: 0.8937, Acc.toilet: 0.9122, Acc.flower: 0.6126, Acc.book: 0.7511, Acc.hill: 0.1282, Acc.bench: 0.6285, Acc.countertop: 0.7331, Acc.stove: 0.8867, Acc.palm: 0.8539, Acc.kitchen island: 0.8006, Acc.computer: 0.8589, Acc.swivel chair: 0.6668, Acc.boat: 0.8707, Acc.bar: 0.7862, Acc.arcade machine: 0.8872, Acc.hovel: 0.5860, Acc.bus: 0.9362, Acc.towel: 0.8206, Acc.light: 0.5414, Acc.truck: 0.6070, Acc.tower: 0.2711, Acc.chandelier: 0.8366, Acc.awning: 0.3802, Acc.streetlight: 0.3468, Acc.booth: 0.5157, Acc.television receiver: 0.8691, Acc.airplane: 0.8876, Acc.dirt track: 0.0348, Acc.apparel: 0.6830, Acc.pole: 0.3221, Acc.land: 0.0904, Acc.bannister: 0.2549, Acc.escalator: 0.3758, Acc.ottoman: 0.7424, Acc.bottle: 0.3197, Acc.buffet: 0.6531, Acc.poster: 0.3583, Acc.stage: 0.5003, Acc.van: 0.6418, Acc.ship: 0.6481, Acc.fountain: 0.4037, Acc.conveyer belt: 0.9172, Acc.canopy: 0.5565, Acc.washer: 0.8258, Acc.plaything: 0.4582, Acc.swimming pool: 0.7819, Acc.stool: 0.6438, Acc.barrel: 0.6518, Acc.basket: 0.6277, Acc.waterfall: 0.6169, Acc.tent: 0.9756, Acc.bag: 0.1508, Acc.minibike: 0.8091, Acc.cradle: 0.9406, Acc.oven: 0.7460, Acc.ball: 0.6537, Acc.food: 0.4766, Acc.step: 0.1615, Acc.tank: 0.6600, Acc.trade name: 0.4399, Acc.microwave: 0.9260, Acc.pot: 0.6137, Acc.animal: 0.7303, Acc.bicycle: 0.7440, Acc.lake: 0.7798, Acc.dishwasher: 0.6687, Acc.screen: 0.8871, Acc.blanket: 0.2953, Acc.sculpture: 0.7398, Acc.hood: 0.7146, Acc.sconce: 0.5909, Acc.vase: 0.5929, Acc.traffic light: 0.5172, Acc.tray: 0.1245, Acc.ashcan: 0.6309, Acc.fan: 0.6773, Acc.pier: 0.4536, Acc.crt screen: 0.1352, Acc.plate: 0.7196, Acc.monitor: 0.0795, Acc.bulletin board: 0.7289, Acc.shower: 0.0027, Acc.radiator: 0.7704, Acc.glass: 0.1588, Acc.clock: 0.4263, Acc.flag: 0.7478 2023-11-02 06:47:13,294 - mmseg - INFO - Iter [13050/80000] lr: 2.711e-06, eta: 1 day, 0:51:54, time: 2.380, data_time: 1.171, memory: 38534, decode.loss_ce: 0.3417, decode.acc_seg: 85.8599, loss: 0.3417 2023-11-02 06:48:14,054 - mmseg - INFO - Iter [13100/80000] lr: 2.709e-06, eta: 1 day, 0:50:16, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3246, decode.acc_seg: 87.0517, loss: 0.3246 2023-11-02 06:49:14,849 - mmseg - INFO - Iter [13150/80000] lr: 2.707e-06, eta: 1 day, 0:48:39, time: 1.216, data_time: 0.008, memory: 38534, decode.loss_ce: 0.3250, decode.acc_seg: 87.2239, loss: 0.3250 2023-11-02 06:50:15,658 - mmseg - INFO - Iter [13200/80000] lr: 2.705e-06, eta: 1 day, 0:47:01, time: 1.216, data_time: 0.009, memory: 38534, decode.loss_ce: 0.3532, decode.acc_seg: 86.1609, loss: 0.3532 2023-11-02 06:51:16,410 - mmseg - INFO - Iter [13250/80000] lr: 2.703e-06, eta: 1 day, 0:45:24, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3375, decode.acc_seg: 86.1497, loss: 0.3375 2023-11-02 06:52:17,207 - mmseg - INFO - Iter [13300/80000] lr: 2.701e-06, eta: 1 day, 0:43:48, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3418, decode.acc_seg: 86.2464, loss: 0.3418 2023-11-02 06:53:17,978 - mmseg - INFO - Iter [13350/80000] lr: 2.699e-06, eta: 1 day, 0:42:11, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3395, decode.acc_seg: 86.0739, loss: 0.3395 2023-11-02 06:54:18,741 - mmseg - INFO - Iter [13400/80000] lr: 2.697e-06, eta: 1 day, 0:40:35, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3304, decode.acc_seg: 86.9745, loss: 0.3304 2023-11-02 06:55:19,501 - mmseg - INFO - Iter [13450/80000] lr: 2.695e-06, eta: 1 day, 0:38:59, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3370, decode.acc_seg: 86.3176, loss: 0.3370 2023-11-02 06:56:20,258 - mmseg - INFO - Iter [13500/80000] lr: 2.693e-06, eta: 1 day, 0:37:23, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3471, decode.acc_seg: 85.8221, loss: 0.3471 2023-11-02 06:57:21,011 - mmseg - INFO - Iter [13550/80000] lr: 2.691e-06, eta: 1 day, 0:35:47, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3579, decode.acc_seg: 86.0308, loss: 0.3579 2023-11-02 06:58:21,814 - mmseg - INFO - Iter [13600/80000] lr: 2.689e-06, eta: 1 day, 0:34:12, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3424, decode.acc_seg: 86.1871, loss: 0.3424 2023-11-02 06:59:22,591 - mmseg - INFO - Iter [13650/80000] lr: 2.687e-06, eta: 1 day, 0:32:37, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3514, decode.acc_seg: 85.6281, loss: 0.3514 2023-11-02 07:00:23,407 - mmseg - INFO - Iter [13700/80000] lr: 2.685e-06, eta: 1 day, 0:31:03, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3460, decode.acc_seg: 86.2790, loss: 0.3460 2023-11-02 07:01:24,194 - mmseg - INFO - Iter [13750/80000] lr: 2.683e-06, eta: 1 day, 0:29:28, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3492, decode.acc_seg: 86.2133, loss: 0.3492 2023-11-02 07:02:24,985 - mmseg - INFO - Iter [13800/80000] lr: 2.681e-06, eta: 1 day, 0:27:54, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3253, decode.acc_seg: 86.9445, loss: 0.3253 2023-11-02 07:03:25,735 - mmseg - INFO - Iter [13850/80000] lr: 2.679e-06, eta: 1 day, 0:26:20, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3284, decode.acc_seg: 87.2355, loss: 0.3284 2023-11-02 07:04:28,849 - mmseg - INFO - Iter [13900/80000] lr: 2.677e-06, eta: 1 day, 0:24:58, time: 1.262, data_time: 0.052, memory: 38534, decode.loss_ce: 0.3557, decode.acc_seg: 86.4694, loss: 0.3557 2023-11-02 07:05:29,672 - mmseg - INFO - Iter [13950/80000] lr: 2.675e-06, eta: 1 day, 0:23:24, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3247, decode.acc_seg: 86.8145, loss: 0.3247 2023-11-02 07:06:30,412 - mmseg - INFO - Saving checkpoint at 14000 iterations 2023-11-02 07:07:23,743 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 07:07:23,743 - mmseg - INFO - Iter [14000/80000] lr: 2.673e-06, eta: 1 day, 0:26:02, time: 2.281, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3192, decode.acc_seg: 87.4946, loss: 0.3192 2023-11-02 07:08:22,491 - mmseg - INFO - per class results: 2023-11-02 07:08:22,500 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 79.69 | 88.76 | | building | 82.61 | 89.41 | | sky | 94.3 | 97.61 | | floor | 83.25 | 90.76 | | tree | 75.69 | 87.68 | | ceiling | 84.45 | 92.32 | | road | 84.88 | 89.33 | | bed | 90.78 | 96.86 | | windowpane | 65.52 | 78.11 | | grass | 68.23 | 78.11 | | cabinet | 62.66 | 70.85 | | sidewalk | 66.53 | 84.06 | | person | 82.24 | 91.02 | | earth | 43.6 | 61.51 | | door | 59.96 | 73.74 | | table | 65.87 | 78.13 | | mountain | 58.47 | 80.25 | | plant | 55.84 | 63.48 | | curtain | 78.02 | 87.6 | | chair | 60.2 | 70.43 | | car | 86.08 | 92.08 | | water | 64.57 | 82.95 | | painting | 74.73 | 89.45 | | sofa | 78.5 | 86.32 | | shelf | 46.98 | 74.47 | | house | 48.82 | 90.72 | | sea | 78.16 | 86.02 | | mirror | 74.17 | 82.98 | | rug | 68.72 | 80.12 | | field | 30.44 | 57.57 | | armchair | 56.28 | 80.53 | | seat | 61.87 | 85.65 | | fence | 52.21 | 62.42 | | desk | 54.87 | 77.2 | | rock | 39.97 | 49.73 | | wardrobe | 57.21 | 77.8 | | lamp | 67.68 | 80.2 | | bathtub | 88.47 | 93.97 | | railing | 40.39 | 63.13 | | cushion | 62.81 | 74.34 | | base | 36.74 | 56.27 | | box | 36.22 | 44.6 | | column | 48.93 | 75.24 | | signboard | 38.96 | 51.36 | | chest of drawers | 45.02 | 69.4 | | counter | 32.15 | 36.07 | | sand | 57.15 | 80.45 | | sink | 78.39 | 88.1 | | skyscraper | 51.53 | 73.72 | | fireplace | 68.74 | 91.79 | | refrigerator | 82.94 | 93.11 | | grandstand | 52.94 | 84.36 | | path | 25.09 | 30.48 | | stairs | 40.22 | 53.34 | | runway | 73.96 | 94.47 | | case | 56.22 | 62.32 | | pool table | 93.1 | 97.8 | | pillow | 58.88 | 65.69 | | screen door | 74.79 | 81.62 | | stairway | 52.14 | 67.72 | | river | 12.81 | 19.79 | | bridge | 58.01 | 91.53 | | bookcase | 38.57 | 55.67 | | blind | 40.09 | 46.03 | | coffee table | 63.24 | 87.74 | | toilet | 88.38 | 94.48 | | flower | 40.47 | 54.37 | | book | 48.99 | 68.89 | | hill | 6.68 | 10.63 | | bench | 53.09 | 64.05 | | countertop | 62.92 | 80.41 | | stove | 82.19 | 90.29 | | palm | 50.19 | 75.68 | | kitchen island | 35.99 | 75.85 | | computer | 74.28 | 91.88 | | swivel chair | 44.77 | 76.5 | | boat | 74.55 | 85.75 | | bar | 59.87 | 83.18 | | arcade machine | 86.87 | 94.7 | | hovel | 57.18 | 76.69 | | bus | 91.23 | 96.28 | | towel | 73.15 | 81.78 | | light | 46.74 | 53.42 | | truck | 43.13 | 55.87 | | tower | 24.36 | 39.54 | | chandelier | 68.76 | 78.93 | | awning | 34.1 | 38.76 | | streetlight | 24.27 | 35.43 | | booth | 39.97 | 41.8 | | television receiver | 76.46 | 90.38 | | airplane | 82.94 | 93.65 | | dirt track | 13.98 | 17.74 | | apparel | 49.98 | 70.84 | | pole | 21.27 | 27.45 | | land | 4.91 | 8.28 | | bannister | 13.8 | 20.78 | | escalator | 55.18 | 70.44 | | ottoman | 47.54 | 78.12 | | bottle | 22.05 | 26.22 | | buffet | 56.49 | 78.71 | | poster | 27.05 | 40.29 | | stage | 13.84 | 29.76 | | van | 45.9 | 59.66 | | ship | 68.47 | 73.87 | | fountain | 42.23 | 43.67 | | conveyer belt | 75.06 | 95.95 | | canopy | 44.79 | 76.95 | | washer | 89.26 | 97.78 | | plaything | 33.31 | 51.03 | | swimming pool | 55.76 | 82.46 | | stool | 48.56 | 64.52 | | barrel | 38.13 | 76.04 | | basket | 43.89 | 63.37 | | waterfall | 45.78 | 49.92 | | tent | 95.33 | 98.16 | | bag | 18.44 | 20.28 | | minibike | 72.65 | 87.71 | | cradle | 81.89 | 96.63 | | oven | 59.26 | 72.37 | | ball | 36.48 | 39.96 | | food | 66.7 | 75.7 | | step | 14.2 | 18.74 | | tank | 60.92 | 67.48 | | trade name | 32.51 | 40.92 | | microwave | 88.1 | 95.87 | | pot | 54.96 | 62.8 | | animal | 71.12 | 73.13 | | bicycle | 61.34 | 77.61 | | lake | 62.78 | 63.77 | | dishwasher | 74.65 | 78.93 | | screen | 55.39 | 95.67 | | blanket | 21.22 | 23.67 | | sculpture | 68.96 | 80.25 | | hood | 61.58 | 73.4 | | sconce | 54.53 | 66.18 | | vase | 41.34 | 63.16 | | traffic light | 32.18 | 56.69 | | tray | 18.49 | 29.49 | | ashcan | 47.95 | 58.8 | | fan | 59.41 | 69.35 | | pier | 39.24 | 42.47 | | crt screen | 1.05 | 2.62 | | plate | 56.95 | 67.5 | | monitor | 7.62 | 8.06 | | bulletin board | 46.99 | 50.49 | | shower | 3.19 | 4.1 | | radiator | 61.7 | 80.83 | | glass | 16.62 | 17.59 | | clock | 41.36 | 50.37 | | flag | 65.9 | 77.24 | +---------------------+-------+-------+ 2023-11-02 07:08:22,500 - mmseg - INFO - Summary: 2023-11-02 07:08:22,500 - mmseg - INFO - +-------+------+-------+ | aAcc | mIoU | mAcc | +-------+------+-------+ | 84.74 | 54.5 | 67.58 | +-------+------+-------+ 2023-11-02 07:08:22,502 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 07:08:22,502 - mmseg - INFO - Iter(val) [250] aAcc: 0.8474, mIoU: 0.5450, mAcc: 0.6758, IoU.wall: 0.7969, IoU.building: 0.8261, IoU.sky: 0.9430, IoU.floor: 0.8325, IoU.tree: 0.7569, IoU.ceiling: 0.8445, IoU.road: 0.8488, IoU.bed : 0.9078, IoU.windowpane: 0.6552, IoU.grass: 0.6823, IoU.cabinet: 0.6266, IoU.sidewalk: 0.6653, IoU.person: 0.8224, IoU.earth: 0.4360, IoU.door: 0.5996, IoU.table: 0.6587, IoU.mountain: 0.5847, IoU.plant: 0.5584, IoU.curtain: 0.7802, IoU.chair: 0.6020, IoU.car: 0.8608, IoU.water: 0.6457, IoU.painting: 0.7473, IoU.sofa: 0.7850, IoU.shelf: 0.4698, IoU.house: 0.4882, IoU.sea: 0.7816, IoU.mirror: 0.7417, IoU.rug: 0.6872, IoU.field: 0.3044, IoU.armchair: 0.5628, IoU.seat: 0.6187, IoU.fence: 0.5221, IoU.desk: 0.5487, IoU.rock: 0.3997, IoU.wardrobe: 0.5721, IoU.lamp: 0.6768, IoU.bathtub: 0.8847, IoU.railing: 0.4039, IoU.cushion: 0.6281, IoU.base: 0.3674, IoU.box: 0.3622, IoU.column: 0.4893, IoU.signboard: 0.3896, IoU.chest of drawers: 0.4502, IoU.counter: 0.3215, IoU.sand: 0.5715, IoU.sink: 0.7839, IoU.skyscraper: 0.5153, IoU.fireplace: 0.6874, IoU.refrigerator: 0.8294, IoU.grandstand: 0.5294, IoU.path: 0.2509, IoU.stairs: 0.4022, IoU.runway: 0.7396, IoU.case: 0.5622, IoU.pool table: 0.9310, IoU.pillow: 0.5888, IoU.screen door: 0.7479, IoU.stairway: 0.5214, IoU.river: 0.1281, IoU.bridge: 0.5801, IoU.bookcase: 0.3857, IoU.blind: 0.4009, IoU.coffee table: 0.6324, IoU.toilet: 0.8838, IoU.flower: 0.4047, IoU.book: 0.4899, IoU.hill: 0.0668, IoU.bench: 0.5309, IoU.countertop: 0.6292, IoU.stove: 0.8219, IoU.palm: 0.5019, IoU.kitchen island: 0.3599, IoU.computer: 0.7428, IoU.swivel chair: 0.4477, IoU.boat: 0.7455, IoU.bar: 0.5987, IoU.arcade machine: 0.8687, IoU.hovel: 0.5718, IoU.bus: 0.9123, IoU.towel: 0.7315, IoU.light: 0.4674, IoU.truck: 0.4313, IoU.tower: 0.2436, IoU.chandelier: 0.6876, IoU.awning: 0.3410, IoU.streetlight: 0.2427, IoU.booth: 0.3997, IoU.television receiver: 0.7646, IoU.airplane: 0.8294, IoU.dirt track: 0.1398, IoU.apparel: 0.4998, IoU.pole: 0.2127, IoU.land: 0.0491, IoU.bannister: 0.1380, IoU.escalator: 0.5518, IoU.ottoman: 0.4754, IoU.bottle: 0.2205, IoU.buffet: 0.5649, IoU.poster: 0.2705, IoU.stage: 0.1384, IoU.van: 0.4590, IoU.ship: 0.6847, IoU.fountain: 0.4223, IoU.conveyer belt: 0.7506, IoU.canopy: 0.4479, IoU.washer: 0.8926, IoU.plaything: 0.3331, IoU.swimming pool: 0.5576, IoU.stool: 0.4856, IoU.barrel: 0.3813, IoU.basket: 0.4389, IoU.waterfall: 0.4578, IoU.tent: 0.9533, IoU.bag: 0.1844, IoU.minibike: 0.7265, IoU.cradle: 0.8189, IoU.oven: 0.5926, IoU.ball: 0.3648, IoU.food: 0.6670, IoU.step: 0.1420, IoU.tank: 0.6092, IoU.trade name: 0.3251, IoU.microwave: 0.8810, IoU.pot: 0.5496, IoU.animal: 0.7112, IoU.bicycle: 0.6134, IoU.lake: 0.6278, IoU.dishwasher: 0.7465, IoU.screen: 0.5539, IoU.blanket: 0.2122, IoU.sculpture: 0.6896, IoU.hood: 0.6158, IoU.sconce: 0.5453, IoU.vase: 0.4134, IoU.traffic light: 0.3218, IoU.tray: 0.1849, IoU.ashcan: 0.4795, IoU.fan: 0.5941, IoU.pier: 0.3924, IoU.crt screen: 0.0105, IoU.plate: 0.5695, IoU.monitor: 0.0762, IoU.bulletin board: 0.4699, IoU.shower: 0.0319, IoU.radiator: 0.6170, IoU.glass: 0.1662, IoU.clock: 0.4136, IoU.flag: 0.6590, Acc.wall: 0.8876, Acc.building: 0.8941, Acc.sky: 0.9761, Acc.floor: 0.9076, Acc.tree: 0.8768, Acc.ceiling: 0.9232, Acc.road: 0.8933, Acc.bed : 0.9686, Acc.windowpane: 0.7811, Acc.grass: 0.7811, Acc.cabinet: 0.7085, Acc.sidewalk: 0.8406, Acc.person: 0.9102, Acc.earth: 0.6151, Acc.door: 0.7374, Acc.table: 0.7813, Acc.mountain: 0.8025, Acc.plant: 0.6348, Acc.curtain: 0.8760, Acc.chair: 0.7043, Acc.car: 0.9208, Acc.water: 0.8295, Acc.painting: 0.8945, Acc.sofa: 0.8632, Acc.shelf: 0.7447, Acc.house: 0.9072, Acc.sea: 0.8602, Acc.mirror: 0.8298, Acc.rug: 0.8012, Acc.field: 0.5757, Acc.armchair: 0.8053, Acc.seat: 0.8565, Acc.fence: 0.6242, Acc.desk: 0.7720, Acc.rock: 0.4973, Acc.wardrobe: 0.7780, Acc.lamp: 0.8020, Acc.bathtub: 0.9397, Acc.railing: 0.6313, Acc.cushion: 0.7434, Acc.base: 0.5627, Acc.box: 0.4460, Acc.column: 0.7524, Acc.signboard: 0.5136, Acc.chest of drawers: 0.6940, Acc.counter: 0.3607, Acc.sand: 0.8045, Acc.sink: 0.8810, Acc.skyscraper: 0.7372, Acc.fireplace: 0.9179, Acc.refrigerator: 0.9311, Acc.grandstand: 0.8436, Acc.path: 0.3048, Acc.stairs: 0.5334, Acc.runway: 0.9447, Acc.case: 0.6232, Acc.pool table: 0.9780, Acc.pillow: 0.6569, Acc.screen door: 0.8162, Acc.stairway: 0.6772, Acc.river: 0.1979, Acc.bridge: 0.9153, Acc.bookcase: 0.5567, Acc.blind: 0.4603, Acc.coffee table: 0.8774, Acc.toilet: 0.9448, Acc.flower: 0.5437, Acc.book: 0.6889, Acc.hill: 0.1063, Acc.bench: 0.6405, Acc.countertop: 0.8041, Acc.stove: 0.9029, Acc.palm: 0.7568, Acc.kitchen island: 0.7585, Acc.computer: 0.9188, Acc.swivel chair: 0.7650, Acc.boat: 0.8575, Acc.bar: 0.8318, Acc.arcade machine: 0.9470, Acc.hovel: 0.7669, Acc.bus: 0.9628, Acc.towel: 0.8178, Acc.light: 0.5342, Acc.truck: 0.5587, Acc.tower: 0.3954, Acc.chandelier: 0.7893, Acc.awning: 0.3876, Acc.streetlight: 0.3543, Acc.booth: 0.4180, Acc.television receiver: 0.9038, Acc.airplane: 0.9365, Acc.dirt track: 0.1774, Acc.apparel: 0.7084, Acc.pole: 0.2745, Acc.land: 0.0828, Acc.bannister: 0.2078, Acc.escalator: 0.7044, Acc.ottoman: 0.7812, Acc.bottle: 0.2622, Acc.buffet: 0.7871, Acc.poster: 0.4029, Acc.stage: 0.2976, Acc.van: 0.5966, Acc.ship: 0.7387, Acc.fountain: 0.4367, Acc.conveyer belt: 0.9595, Acc.canopy: 0.7695, Acc.washer: 0.9778, Acc.plaything: 0.5103, Acc.swimming pool: 0.8246, Acc.stool: 0.6452, Acc.barrel: 0.7604, Acc.basket: 0.6337, Acc.waterfall: 0.4992, Acc.tent: 0.9816, Acc.bag: 0.2028, Acc.minibike: 0.8771, Acc.cradle: 0.9663, Acc.oven: 0.7237, Acc.ball: 0.3996, Acc.food: 0.7570, Acc.step: 0.1874, Acc.tank: 0.6748, Acc.trade name: 0.4092, Acc.microwave: 0.9587, Acc.pot: 0.6280, Acc.animal: 0.7313, Acc.bicycle: 0.7761, Acc.lake: 0.6377, Acc.dishwasher: 0.7893, Acc.screen: 0.9567, Acc.blanket: 0.2367, Acc.sculpture: 0.8025, Acc.hood: 0.7340, Acc.sconce: 0.6618, Acc.vase: 0.6316, Acc.traffic light: 0.5669, Acc.tray: 0.2949, Acc.ashcan: 0.5880, Acc.fan: 0.6935, Acc.pier: 0.4247, Acc.crt screen: 0.0262, Acc.plate: 0.6750, Acc.monitor: 0.0806, Acc.bulletin board: 0.5049, Acc.shower: 0.0410, Acc.radiator: 0.8083, Acc.glass: 0.1759, Acc.clock: 0.5037, Acc.flag: 0.7724 2023-11-02 07:09:23,312 - mmseg - INFO - Iter [14050/80000] lr: 2.671e-06, eta: 1 day, 0:29:04, time: 2.391, data_time: 1.183, memory: 38534, decode.loss_ce: 0.3087, decode.acc_seg: 87.7708, loss: 0.3087 2023-11-02 07:10:24,115 - mmseg - INFO - Iter [14100/80000] lr: 2.669e-06, eta: 1 day, 0:27:29, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3251, decode.acc_seg: 87.4955, loss: 0.3251 2023-11-02 07:11:24,841 - mmseg - INFO - Iter [14150/80000] lr: 2.667e-06, eta: 1 day, 0:25:54, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3222, decode.acc_seg: 87.3209, loss: 0.3222 2023-11-02 07:12:25,596 - mmseg - INFO - Iter [14200/80000] lr: 2.665e-06, eta: 1 day, 0:24:19, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3168, decode.acc_seg: 87.5069, loss: 0.3168 2023-11-02 07:13:26,326 - mmseg - INFO - Iter [14250/80000] lr: 2.663e-06, eta: 1 day, 0:22:45, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3376, decode.acc_seg: 86.1829, loss: 0.3376 2023-11-02 07:14:27,072 - mmseg - INFO - Iter [14300/80000] lr: 2.661e-06, eta: 1 day, 0:21:10, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3361, decode.acc_seg: 86.8307, loss: 0.3361 2023-11-02 07:15:27,791 - mmseg - INFO - Iter [14350/80000] lr: 2.659e-06, eta: 1 day, 0:19:36, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3103, decode.acc_seg: 87.5603, loss: 0.3103 2023-11-02 07:16:28,542 - mmseg - INFO - Iter [14400/80000] lr: 2.657e-06, eta: 1 day, 0:18:02, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3249, decode.acc_seg: 86.9917, loss: 0.3249 2023-11-02 07:17:29,324 - mmseg - INFO - Iter [14450/80000] lr: 2.655e-06, eta: 1 day, 0:16:29, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3260, decode.acc_seg: 86.9480, loss: 0.3260 2023-11-02 07:18:30,076 - mmseg - INFO - Iter [14500/80000] lr: 2.653e-06, eta: 1 day, 0:14:56, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3373, decode.acc_seg: 86.3038, loss: 0.3373 2023-11-02 07:19:30,814 - mmseg - INFO - Iter [14550/80000] lr: 2.651e-06, eta: 1 day, 0:13:22, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2874, decode.acc_seg: 88.2519, loss: 0.2874 2023-11-02 07:20:31,589 - mmseg - INFO - Iter [14600/80000] lr: 2.649e-06, eta: 1 day, 0:11:50, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3419, decode.acc_seg: 86.4637, loss: 0.3419 2023-11-02 07:21:32,347 - mmseg - INFO - Iter [14650/80000] lr: 2.647e-06, eta: 1 day, 0:10:17, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3412, decode.acc_seg: 86.4265, loss: 0.3412 2023-11-02 07:22:33,089 - mmseg - INFO - Iter [14700/80000] lr: 2.645e-06, eta: 1 day, 0:08:44, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3195, decode.acc_seg: 87.1058, loss: 0.3195 2023-11-02 07:23:33,774 - mmseg - INFO - Iter [14750/80000] lr: 2.642e-06, eta: 1 day, 0:07:12, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3243, decode.acc_seg: 87.1495, loss: 0.3243 2023-11-02 07:24:34,491 - mmseg - INFO - Iter [14800/80000] lr: 2.640e-06, eta: 1 day, 0:05:40, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3327, decode.acc_seg: 86.5181, loss: 0.3327 2023-11-02 07:25:35,203 - mmseg - INFO - Iter [14850/80000] lr: 2.638e-06, eta: 1 day, 0:04:08, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3201, decode.acc_seg: 87.0470, loss: 0.3201 2023-11-02 07:26:35,826 - mmseg - INFO - Iter [14900/80000] lr: 2.636e-06, eta: 1 day, 0:02:36, time: 1.212, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3236, decode.acc_seg: 87.5644, loss: 0.3236 2023-11-02 07:27:36,378 - mmseg - INFO - Iter [14950/80000] lr: 2.634e-06, eta: 1 day, 0:01:03, time: 1.211, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3154, decode.acc_seg: 87.3692, loss: 0.3154 2023-11-02 07:28:36,951 - mmseg - INFO - Saving checkpoint at 15000 iterations 2023-11-02 07:29:28,650 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 07:29:28,650 - mmseg - INFO - Iter [15000/80000] lr: 2.632e-06, eta: 1 day, 0:03:15, time: 2.245, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3396, decode.acc_seg: 86.6303, loss: 0.3396 2023-11-02 07:30:31,891 - mmseg - INFO - per class results: 2023-11-02 07:30:31,896 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 79.55 | 88.46 | | building | 84.18 | 90.28 | | sky | 94.31 | 97.52 | | floor | 83.47 | 91.24 | | tree | 76.82 | 90.42 | | ceiling | 85.34 | 94.08 | | road | 86.3 | 90.71 | | bed | 90.61 | 97.54 | | windowpane | 65.39 | 80.9 | | grass | 62.08 | 71.78 | | cabinet | 62.95 | 71.72 | | sidewalk | 69.38 | 83.55 | | person | 82.32 | 91.74 | | earth | 40.3 | 54.64 | | door | 59.67 | 78.11 | | table | 67.33 | 82.16 | | mountain | 61.97 | 75.31 | | plant | 57.63 | 69.88 | | curtain | 75.01 | 81.47 | | chair | 62.27 | 74.29 | | car | 86.0 | 94.15 | | water | 54.08 | 65.18 | | painting | 77.39 | 89.12 | | sofa | 75.76 | 81.98 | | shelf | 50.01 | 71.97 | | house | 57.76 | 83.71 | | sea | 67.44 | 89.74 | | mirror | 76.52 | 86.81 | | rug | 63.53 | 70.45 | | field | 32.03 | 77.27 | | armchair | 55.86 | 82.32 | | seat | 66.47 | 87.47 | | fence | 52.3 | 64.21 | | desk | 57.74 | 74.59 | | rock | 62.47 | 79.78 | | wardrobe | 54.59 | 78.74 | | lamp | 67.63 | 81.13 | | bathtub | 88.05 | 91.57 | | railing | 43.05 | 63.9 | | cushion | 63.67 | 80.07 | | base | 39.42 | 65.38 | | box | 36.14 | 48.69 | | column | 52.53 | 63.89 | | signboard | 40.27 | 53.6 | | chest of drawers | 45.87 | 75.76 | | counter | 36.35 | 42.69 | | sand | 59.32 | 84.92 | | sink | 77.71 | 81.5 | | skyscraper | 47.93 | 66.07 | | fireplace | 70.74 | 87.26 | | refrigerator | 83.13 | 90.54 | | grandstand | 63.01 | 77.85 | | path | 29.2 | 37.06 | | stairs | 43.29 | 56.53 | | runway | 73.12 | 95.33 | | case | 62.55 | 79.12 | | pool table | 93.14 | 97.66 | | pillow | 57.78 | 63.33 | | screen door | 73.69 | 96.95 | | stairway | 55.03 | 69.57 | | river | 17.8 | 40.61 | | bridge | 77.33 | 86.58 | | bookcase | 37.67 | 44.35 | | blind | 38.81 | 45.29 | | coffee table | 67.05 | 85.23 | | toilet | 89.09 | 92.22 | | flower | 39.46 | 54.03 | | book | 49.55 | 68.49 | | hill | 10.23 | 14.97 | | bench | 53.44 | 58.9 | | countertop | 62.69 | 78.68 | | stove | 80.14 | 91.94 | | palm | 52.75 | 74.67 | | kitchen island | 48.92 | 86.08 | | computer | 74.62 | 91.28 | | swivel chair | 47.98 | 85.22 | | boat | 57.08 | 71.22 | | bar | 55.9 | 73.38 | | arcade machine | 81.82 | 86.33 | | hovel | 36.87 | 41.28 | | bus | 91.83 | 96.01 | | towel | 72.92 | 80.82 | | light | 50.03 | 59.75 | | truck | 45.94 | 59.57 | | tower | 23.84 | 43.04 | | chandelier | 68.51 | 87.03 | | awning | 33.88 | 38.14 | | streetlight | 24.93 | 33.17 | | booth | 44.29 | 68.42 | | television receiver | 76.43 | 90.82 | | airplane | 80.95 | 91.23 | | dirt track | 16.13 | 17.86 | | apparel | 47.28 | 61.73 | | pole | 21.25 | 26.34 | | land | 5.41 | 8.67 | | bannister | 10.35 | 12.46 | | escalator | 58.48 | 73.92 | | ottoman | 47.09 | 61.85 | | bottle | 37.31 | 57.44 | | buffet | 59.77 | 78.34 | | poster | 38.11 | 47.67 | | stage | 16.25 | 31.74 | | van | 47.78 | 63.7 | | ship | 39.68 | 52.03 | | fountain | 29.3 | 31.05 | | conveyer belt | 83.55 | 95.15 | | canopy | 52.55 | 63.15 | | washer | 81.04 | 85.94 | | plaything | 30.2 | 36.12 | | swimming pool | 56.9 | 84.45 | | stool | 47.55 | 68.68 | | barrel | 31.25 | 80.85 | | basket | 41.65 | 57.85 | | waterfall | 44.85 | 47.23 | | tent | 95.39 | 97.83 | | bag | 18.93 | 21.68 | | minibike | 71.16 | 86.83 | | cradle | 76.85 | 98.18 | | oven | 61.12 | 75.78 | | ball | 39.51 | 41.43 | | food | 67.13 | 75.01 | | step | 12.63 | 14.05 | | tank | 55.17 | 71.07 | | trade name | 27.53 | 31.92 | | microwave | 86.95 | 96.15 | | pot | 54.94 | 61.61 | | animal | 75.43 | 80.26 | | bicycle | 60.41 | 73.84 | | lake | 60.87 | 63.75 | | dishwasher | 74.22 | 77.58 | | screen | 61.98 | 94.94 | | blanket | 19.47 | 21.87 | | sculpture | 62.48 | 78.75 | | hood | 64.22 | 73.53 | | sconce | 53.78 | 70.42 | | vase | 41.77 | 59.27 | | traffic light | 33.69 | 55.45 | | tray | 14.85 | 18.19 | | ashcan | 51.29 | 67.85 | | fan | 60.01 | 72.68 | | pier | 38.63 | 41.78 | | crt screen | 6.13 | 15.18 | | plate | 56.96 | 77.67 | | monitor | 14.81 | 16.94 | | bulletin board | 57.81 | 71.79 | | shower | 8.39 | 13.41 | | radiator | 61.26 | 78.05 | | glass | 18.18 | 19.37 | | clock | 41.27 | 48.55 | | flag | 64.3 | 71.43 | +---------------------+-------+-------+ 2023-11-02 07:30:31,897 - mmseg - INFO - Summary: 2023-11-02 07:30:31,897 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 85.01 | 54.97 | 67.87 | +-------+-------+-------+ 2023-11-02 07:30:31,898 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 07:30:31,898 - mmseg - INFO - Iter(val) [250] aAcc: 0.8501, mIoU: 0.5497, mAcc: 0.6787, IoU.wall: 0.7955, IoU.building: 0.8418, IoU.sky: 0.9431, IoU.floor: 0.8347, IoU.tree: 0.7682, IoU.ceiling: 0.8534, IoU.road: 0.8630, IoU.bed : 0.9061, IoU.windowpane: 0.6539, IoU.grass: 0.6208, IoU.cabinet: 0.6295, IoU.sidewalk: 0.6938, IoU.person: 0.8232, IoU.earth: 0.4030, IoU.door: 0.5967, IoU.table: 0.6733, IoU.mountain: 0.6197, IoU.plant: 0.5763, IoU.curtain: 0.7501, IoU.chair: 0.6227, IoU.car: 0.8600, IoU.water: 0.5408, IoU.painting: 0.7739, IoU.sofa: 0.7576, IoU.shelf: 0.5001, IoU.house: 0.5776, IoU.sea: 0.6744, IoU.mirror: 0.7652, IoU.rug: 0.6353, IoU.field: 0.3203, IoU.armchair: 0.5586, IoU.seat: 0.6647, IoU.fence: 0.5230, IoU.desk: 0.5774, IoU.rock: 0.6247, IoU.wardrobe: 0.5459, IoU.lamp: 0.6763, IoU.bathtub: 0.8805, IoU.railing: 0.4305, IoU.cushion: 0.6367, IoU.base: 0.3942, IoU.box: 0.3614, IoU.column: 0.5253, IoU.signboard: 0.4027, IoU.chest of drawers: 0.4587, IoU.counter: 0.3635, IoU.sand: 0.5932, IoU.sink: 0.7771, IoU.skyscraper: 0.4793, IoU.fireplace: 0.7074, IoU.refrigerator: 0.8313, IoU.grandstand: 0.6301, IoU.path: 0.2920, IoU.stairs: 0.4329, IoU.runway: 0.7312, IoU.case: 0.6255, IoU.pool table: 0.9314, IoU.pillow: 0.5778, IoU.screen door: 0.7369, IoU.stairway: 0.5503, IoU.river: 0.1780, IoU.bridge: 0.7733, IoU.bookcase: 0.3767, IoU.blind: 0.3881, IoU.coffee table: 0.6705, IoU.toilet: 0.8909, IoU.flower: 0.3946, IoU.book: 0.4955, IoU.hill: 0.1023, IoU.bench: 0.5344, IoU.countertop: 0.6269, IoU.stove: 0.8014, IoU.palm: 0.5275, IoU.kitchen island: 0.4892, IoU.computer: 0.7462, IoU.swivel chair: 0.4798, IoU.boat: 0.5708, IoU.bar: 0.5590, IoU.arcade machine: 0.8182, IoU.hovel: 0.3687, IoU.bus: 0.9183, IoU.towel: 0.7292, IoU.light: 0.5003, IoU.truck: 0.4594, IoU.tower: 0.2384, IoU.chandelier: 0.6851, IoU.awning: 0.3388, IoU.streetlight: 0.2493, IoU.booth: 0.4429, IoU.television receiver: 0.7643, IoU.airplane: 0.8095, IoU.dirt track: 0.1613, IoU.apparel: 0.4728, IoU.pole: 0.2125, IoU.land: 0.0541, IoU.bannister: 0.1035, IoU.escalator: 0.5848, IoU.ottoman: 0.4709, IoU.bottle: 0.3731, IoU.buffet: 0.5977, IoU.poster: 0.3811, IoU.stage: 0.1625, IoU.van: 0.4778, IoU.ship: 0.3968, IoU.fountain: 0.2930, IoU.conveyer belt: 0.8355, IoU.canopy: 0.5255, IoU.washer: 0.8104, IoU.plaything: 0.3020, IoU.swimming pool: 0.5690, IoU.stool: 0.4755, IoU.barrel: 0.3125, IoU.basket: 0.4165, IoU.waterfall: 0.4485, IoU.tent: 0.9539, IoU.bag: 0.1893, IoU.minibike: 0.7116, IoU.cradle: 0.7685, IoU.oven: 0.6112, IoU.ball: 0.3951, IoU.food: 0.6713, IoU.step: 0.1263, IoU.tank: 0.5517, IoU.trade name: 0.2753, IoU.microwave: 0.8695, IoU.pot: 0.5494, IoU.animal: 0.7543, IoU.bicycle: 0.6041, IoU.lake: 0.6087, IoU.dishwasher: 0.7422, IoU.screen: 0.6198, IoU.blanket: 0.1947, IoU.sculpture: 0.6248, IoU.hood: 0.6422, IoU.sconce: 0.5378, IoU.vase: 0.4177, IoU.traffic light: 0.3369, IoU.tray: 0.1485, IoU.ashcan: 0.5129, IoU.fan: 0.6001, IoU.pier: 0.3863, IoU.crt screen: 0.0613, IoU.plate: 0.5696, IoU.monitor: 0.1481, IoU.bulletin board: 0.5781, IoU.shower: 0.0839, IoU.radiator: 0.6126, IoU.glass: 0.1818, IoU.clock: 0.4127, IoU.flag: 0.6430, Acc.wall: 0.8846, Acc.building: 0.9028, Acc.sky: 0.9752, Acc.floor: 0.9124, Acc.tree: 0.9042, Acc.ceiling: 0.9408, Acc.road: 0.9071, Acc.bed : 0.9754, Acc.windowpane: 0.8090, Acc.grass: 0.7178, Acc.cabinet: 0.7172, Acc.sidewalk: 0.8355, Acc.person: 0.9174, Acc.earth: 0.5464, Acc.door: 0.7811, Acc.table: 0.8216, Acc.mountain: 0.7531, Acc.plant: 0.6988, Acc.curtain: 0.8147, Acc.chair: 0.7429, Acc.car: 0.9415, Acc.water: 0.6518, Acc.painting: 0.8912, Acc.sofa: 0.8198, Acc.shelf: 0.7197, Acc.house: 0.8371, Acc.sea: 0.8974, Acc.mirror: 0.8681, Acc.rug: 0.7045, Acc.field: 0.7727, Acc.armchair: 0.8232, Acc.seat: 0.8747, Acc.fence: 0.6421, Acc.desk: 0.7459, Acc.rock: 0.7978, Acc.wardrobe: 0.7874, Acc.lamp: 0.8113, Acc.bathtub: 0.9157, Acc.railing: 0.6390, Acc.cushion: 0.8007, Acc.base: 0.6538, Acc.box: 0.4869, Acc.column: 0.6389, Acc.signboard: 0.5360, Acc.chest of drawers: 0.7576, Acc.counter: 0.4269, Acc.sand: 0.8492, Acc.sink: 0.8150, Acc.skyscraper: 0.6607, Acc.fireplace: 0.8726, Acc.refrigerator: 0.9054, Acc.grandstand: 0.7785, Acc.path: 0.3706, Acc.stairs: 0.5653, Acc.runway: 0.9533, Acc.case: 0.7912, Acc.pool table: 0.9766, Acc.pillow: 0.6333, Acc.screen door: 0.9695, Acc.stairway: 0.6957, Acc.river: 0.4061, Acc.bridge: 0.8658, Acc.bookcase: 0.4435, Acc.blind: 0.4529, Acc.coffee table: 0.8523, Acc.toilet: 0.9222, Acc.flower: 0.5403, Acc.book: 0.6849, Acc.hill: 0.1497, Acc.bench: 0.5890, Acc.countertop: 0.7868, Acc.stove: 0.9194, Acc.palm: 0.7467, Acc.kitchen island: 0.8608, Acc.computer: 0.9128, Acc.swivel chair: 0.8522, Acc.boat: 0.7122, Acc.bar: 0.7338, Acc.arcade machine: 0.8633, Acc.hovel: 0.4128, Acc.bus: 0.9601, Acc.towel: 0.8082, Acc.light: 0.5975, Acc.truck: 0.5957, Acc.tower: 0.4304, Acc.chandelier: 0.8703, Acc.awning: 0.3814, Acc.streetlight: 0.3317, Acc.booth: 0.6842, Acc.television receiver: 0.9082, Acc.airplane: 0.9123, Acc.dirt track: 0.1786, Acc.apparel: 0.6173, Acc.pole: 0.2634, Acc.land: 0.0867, Acc.bannister: 0.1246, Acc.escalator: 0.7392, Acc.ottoman: 0.6185, Acc.bottle: 0.5744, Acc.buffet: 0.7834, Acc.poster: 0.4767, Acc.stage: 0.3174, Acc.van: 0.6370, Acc.ship: 0.5203, Acc.fountain: 0.3105, Acc.conveyer belt: 0.9515, Acc.canopy: 0.6315, Acc.washer: 0.8594, Acc.plaything: 0.3612, Acc.swimming pool: 0.8445, Acc.stool: 0.6868, Acc.barrel: 0.8085, Acc.basket: 0.5785, Acc.waterfall: 0.4723, Acc.tent: 0.9783, Acc.bag: 0.2168, Acc.minibike: 0.8683, Acc.cradle: 0.9818, Acc.oven: 0.7578, Acc.ball: 0.4143, Acc.food: 0.7501, Acc.step: 0.1405, Acc.tank: 0.7107, Acc.trade name: 0.3192, Acc.microwave: 0.9615, Acc.pot: 0.6161, Acc.animal: 0.8026, Acc.bicycle: 0.7384, Acc.lake: 0.6375, Acc.dishwasher: 0.7758, Acc.screen: 0.9494, Acc.blanket: 0.2187, Acc.sculpture: 0.7875, Acc.hood: 0.7353, Acc.sconce: 0.7042, Acc.vase: 0.5927, Acc.traffic light: 0.5545, Acc.tray: 0.1819, Acc.ashcan: 0.6785, Acc.fan: 0.7268, Acc.pier: 0.4178, Acc.crt screen: 0.1518, Acc.plate: 0.7767, Acc.monitor: 0.1694, Acc.bulletin board: 0.7179, Acc.shower: 0.1341, Acc.radiator: 0.7805, Acc.glass: 0.1937, Acc.clock: 0.4855, Acc.flag: 0.7143 2023-11-02 07:31:32,552 - mmseg - INFO - Iter [15050/80000] lr: 2.630e-06, eta: 1 day, 0:06:16, time: 2.478, data_time: 1.272, memory: 38534, decode.loss_ce: 0.3287, decode.acc_seg: 86.9668, loss: 0.3287 2023-11-02 07:32:33,211 - mmseg - INFO - Iter [15100/80000] lr: 2.628e-06, eta: 1 day, 0:04:43, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3128, decode.acc_seg: 88.0092, loss: 0.3128 2023-11-02 07:33:33,885 - mmseg - INFO - Iter [15150/80000] lr: 2.626e-06, eta: 1 day, 0:03:10, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3388, decode.acc_seg: 86.3651, loss: 0.3388 2023-11-02 07:34:37,000 - mmseg - INFO - Iter [15200/80000] lr: 2.624e-06, eta: 1 day, 0:01:47, time: 1.262, data_time: 0.056, memory: 38534, decode.loss_ce: 0.3105, decode.acc_seg: 87.7120, loss: 0.3105 2023-11-02 07:35:37,736 - mmseg - INFO - Iter [15250/80000] lr: 2.622e-06, eta: 1 day, 0:00:15, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2873, decode.acc_seg: 88.3372, loss: 0.2873 2023-11-02 07:36:38,458 - mmseg - INFO - Iter [15300/80000] lr: 2.620e-06, eta: 23:58:43, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2904, decode.acc_seg: 88.1736, loss: 0.2904 2023-11-02 07:37:39,208 - mmseg - INFO - Iter [15350/80000] lr: 2.618e-06, eta: 23:57:11, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2877, decode.acc_seg: 88.2750, loss: 0.2877 2023-11-02 07:38:39,963 - mmseg - INFO - Iter [15400/80000] lr: 2.616e-06, eta: 23:55:40, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3049, decode.acc_seg: 87.8872, loss: 0.3049 2023-11-02 07:39:40,669 - mmseg - INFO - Iter [15450/80000] lr: 2.614e-06, eta: 23:54:08, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3034, decode.acc_seg: 88.0596, loss: 0.3034 2023-11-02 07:40:41,346 - mmseg - INFO - Iter [15500/80000] lr: 2.612e-06, eta: 23:52:37, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3053, decode.acc_seg: 87.7662, loss: 0.3053 2023-11-02 07:41:42,046 - mmseg - INFO - Iter [15550/80000] lr: 2.610e-06, eta: 23:51:05, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3124, decode.acc_seg: 87.4677, loss: 0.3124 2023-11-02 07:42:42,786 - mmseg - INFO - Iter [15600/80000] lr: 2.608e-06, eta: 23:49:34, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3153, decode.acc_seg: 87.2443, loss: 0.3153 2023-11-02 07:43:43,526 - mmseg - INFO - Iter [15650/80000] lr: 2.606e-06, eta: 23:48:04, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3086, decode.acc_seg: 88.0432, loss: 0.3086 2023-11-02 07:44:44,244 - mmseg - INFO - Iter [15700/80000] lr: 2.604e-06, eta: 23:46:33, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3332, decode.acc_seg: 86.8797, loss: 0.3332 2023-11-02 07:45:44,992 - mmseg - INFO - Iter [15750/80000] lr: 2.602e-06, eta: 23:45:03, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3079, decode.acc_seg: 87.7460, loss: 0.3079 2023-11-02 07:46:45,712 - mmseg - INFO - Iter [15800/80000] lr: 2.600e-06, eta: 23:43:33, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3006, decode.acc_seg: 87.7705, loss: 0.3006 2023-11-02 07:47:46,421 - mmseg - INFO - Iter [15850/80000] lr: 2.598e-06, eta: 23:42:03, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3011, decode.acc_seg: 87.9731, loss: 0.3011 2023-11-02 07:48:47,096 - mmseg - INFO - Iter [15900/80000] lr: 2.596e-06, eta: 23:40:33, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3088, decode.acc_seg: 87.5482, loss: 0.3088 2023-11-02 07:49:47,753 - mmseg - INFO - Iter [15950/80000] lr: 2.594e-06, eta: 23:39:03, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2969, decode.acc_seg: 88.2007, loss: 0.2969 2023-11-02 07:50:48,471 - mmseg - INFO - Saving checkpoint at 16000 iterations 2023-11-02 07:51:43,875 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 07:51:43,875 - mmseg - INFO - Iter [16000/80000] lr: 2.592e-06, eta: 23:41:15, time: 2.322, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3078, decode.acc_seg: 87.7520, loss: 0.3078 2023-11-02 07:52:44,759 - mmseg - INFO - per class results: 2023-11-02 07:52:44,764 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 80.22 | 88.56 | | building | 84.28 | 93.12 | | sky | 94.14 | 97.29 | | floor | 83.57 | 90.29 | | tree | 76.3 | 87.64 | | ceiling | 86.09 | 93.29 | | road | 85.79 | 90.01 | | bed | 91.53 | 96.88 | | windowpane | 65.59 | 80.7 | | grass | 70.35 | 84.62 | | cabinet | 65.32 | 81.76 | | sidewalk | 67.66 | 83.81 | | person | 82.38 | 93.44 | | earth | 38.96 | 50.15 | | door | 56.71 | 70.26 | | table | 67.1 | 80.41 | | mountain | 58.84 | 71.19 | | plant | 56.07 | 69.41 | | curtain | 77.34 | 89.31 | | chair | 62.74 | 78.76 | | car | 85.64 | 95.04 | | water | 58.56 | 73.0 | | painting | 76.61 | 89.24 | | sofa | 79.8 | 90.67 | | shelf | 50.09 | 66.43 | | house | 58.36 | 73.05 | | sea | 62.49 | 86.98 | | mirror | 76.25 | 85.23 | | rug | 68.25 | 78.39 | | field | 35.24 | 67.75 | | armchair | 56.18 | 70.59 | | seat | 64.35 | 86.94 | | fence | 52.23 | 67.23 | | desk | 54.68 | 78.2 | | rock | 56.99 | 83.19 | | wardrobe | 57.94 | 68.77 | | lamp | 68.33 | 82.69 | | bathtub | 85.01 | 87.3 | | railing | 43.63 | 67.13 | | cushion | 64.66 | 76.15 | | base | 38.97 | 64.34 | | box | 35.83 | 47.8 | | column | 48.7 | 58.17 | | signboard | 38.87 | 54.03 | | chest of drawers | 41.96 | 55.88 | | counter | 42.22 | 57.76 | | sand | 64.03 | 83.51 | | sink | 76.8 | 82.4 | | skyscraper | 45.96 | 56.73 | | fireplace | 69.43 | 83.68 | | refrigerator | 84.45 | 91.68 | | grandstand | 65.53 | 80.92 | | path | 26.3 | 50.35 | | stairs | 42.15 | 52.85 | | runway | 73.12 | 95.31 | | case | 62.21 | 78.59 | | pool table | 93.59 | 97.69 | | pillow | 64.25 | 73.86 | | screen door | 49.94 | 50.55 | | stairway | 45.7 | 61.33 | | river | 16.61 | 20.69 | | bridge | 76.12 | 86.15 | | bookcase | 42.43 | 56.14 | | blind | 40.16 | 46.86 | | coffee table | 63.97 | 84.94 | | toilet | 89.12 | 92.77 | | flower | 38.61 | 60.48 | | book | 51.67 | 69.02 | | hill | 8.15 | 10.36 | | bench | 47.13 | 49.5 | | countertop | 64.37 | 79.77 | | stove | 82.79 | 87.99 | | palm | 47.85 | 84.9 | | kitchen island | 51.36 | 81.84 | | computer | 76.03 | 90.98 | | swivel chair | 50.1 | 76.08 | | boat | 64.21 | 82.72 | | bar | 56.37 | 71.69 | | arcade machine | 81.81 | 85.79 | | hovel | 61.43 | 70.59 | | bus | 92.11 | 94.58 | | towel | 74.8 | 85.81 | | light | 49.35 | 57.79 | | truck | 47.89 | 58.09 | | tower | 22.25 | 40.61 | | chandelier | 68.99 | 82.1 | | awning | 33.75 | 39.76 | | streetlight | 22.15 | 28.17 | | booth | 56.74 | 62.43 | | television receiver | 75.92 | 89.82 | | airplane | 65.85 | 72.77 | | dirt track | 11.93 | 12.5 | | apparel | 56.23 | 77.1 | | pole | 24.61 | 31.23 | | land | 3.21 | 4.85 | | bannister | 16.78 | 21.83 | | escalator | 52.25 | 65.52 | | ottoman | 50.94 | 76.15 | | bottle | 30.56 | 36.63 | | buffet | 42.6 | 46.14 | | poster | 32.33 | 42.57 | | stage | 24.35 | 46.82 | | van | 48.55 | 60.75 | | ship | 65.05 | 78.98 | | fountain | 32.32 | 32.7 | | conveyer belt | 81.22 | 93.63 | | canopy | 51.26 | 68.28 | | washer | 82.45 | 87.51 | | plaything | 32.5 | 42.79 | | swimming pool | 51.83 | 77.09 | | stool | 51.21 | 61.41 | | barrel | 57.3 | 72.26 | | basket | 42.64 | 62.38 | | waterfall | 48.9 | 55.5 | | tent | 95.66 | 98.31 | | bag | 21.68 | 26.3 | | minibike | 72.8 | 86.83 | | cradle | 82.59 | 96.15 | | oven | 56.78 | 66.99 | | ball | 11.79 | 12.09 | | food | 68.28 | 78.72 | | step | 17.3 | 22.69 | | tank | 62.13 | 69.02 | | trade name | 25.66 | 29.6 | | microwave | 88.41 | 94.67 | | pot | 56.02 | 66.08 | | animal | 73.7 | 76.67 | | bicycle | 61.47 | 79.73 | | lake | 44.79 | 67.6 | | dishwasher | 76.21 | 79.63 | | screen | 56.75 | 79.58 | | blanket | 26.1 | 29.28 | | sculpture | 68.29 | 77.32 | | hood | 53.71 | 60.86 | | sconce | 53.66 | 67.98 | | vase | 42.1 | 60.03 | | traffic light | 32.58 | 55.34 | | tray | 18.19 | 24.04 | | ashcan | 51.51 | 64.83 | | fan | 62.59 | 76.44 | | pier | 37.6 | 40.06 | | crt screen | 7.13 | 19.69 | | plate | 56.89 | 67.53 | | monitor | 12.73 | 15.24 | | bulletin board | 58.9 | 79.65 | | shower | 1.55 | 5.33 | | radiator | 61.28 | 73.51 | | glass | 17.82 | 19.12 | | clock | 38.76 | 43.21 | | flag | 67.44 | 71.56 | +---------------------+-------+-------+ 2023-11-02 07:52:44,764 - mmseg - INFO - Summary: 2023-11-02 07:52:44,765 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 85.28 | 55.12 | 67.06 | +-------+-------+-------+ 2023-11-02 07:52:44,765 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 07:52:44,766 - mmseg - INFO - Iter(val) [250] aAcc: 0.8528, mIoU: 0.5512, mAcc: 0.6706, IoU.wall: 0.8022, IoU.building: 0.8428, IoU.sky: 0.9414, IoU.floor: 0.8357, IoU.tree: 0.7630, IoU.ceiling: 0.8609, IoU.road: 0.8579, IoU.bed : 0.9153, IoU.windowpane: 0.6559, IoU.grass: 0.7035, IoU.cabinet: 0.6532, IoU.sidewalk: 0.6766, IoU.person: 0.8238, IoU.earth: 0.3896, IoU.door: 0.5671, IoU.table: 0.6710, IoU.mountain: 0.5884, IoU.plant: 0.5607, IoU.curtain: 0.7734, IoU.chair: 0.6274, IoU.car: 0.8564, IoU.water: 0.5856, IoU.painting: 0.7661, IoU.sofa: 0.7980, IoU.shelf: 0.5009, IoU.house: 0.5836, IoU.sea: 0.6249, IoU.mirror: 0.7625, IoU.rug: 0.6825, IoU.field: 0.3524, IoU.armchair: 0.5618, IoU.seat: 0.6435, IoU.fence: 0.5223, IoU.desk: 0.5468, IoU.rock: 0.5699, IoU.wardrobe: 0.5794, IoU.lamp: 0.6833, IoU.bathtub: 0.8501, IoU.railing: 0.4363, IoU.cushion: 0.6466, IoU.base: 0.3897, IoU.box: 0.3583, IoU.column: 0.4870, IoU.signboard: 0.3887, IoU.chest of drawers: 0.4196, IoU.counter: 0.4222, IoU.sand: 0.6403, IoU.sink: 0.7680, IoU.skyscraper: 0.4596, IoU.fireplace: 0.6943, IoU.refrigerator: 0.8445, IoU.grandstand: 0.6553, IoU.path: 0.2630, IoU.stairs: 0.4215, IoU.runway: 0.7312, IoU.case: 0.6221, IoU.pool table: 0.9359, IoU.pillow: 0.6425, IoU.screen door: 0.4994, IoU.stairway: 0.4570, IoU.river: 0.1661, IoU.bridge: 0.7612, IoU.bookcase: 0.4243, IoU.blind: 0.4016, IoU.coffee table: 0.6397, IoU.toilet: 0.8912, IoU.flower: 0.3861, IoU.book: 0.5167, IoU.hill: 0.0815, IoU.bench: 0.4713, IoU.countertop: 0.6437, IoU.stove: 0.8279, IoU.palm: 0.4785, IoU.kitchen island: 0.5136, IoU.computer: 0.7603, IoU.swivel chair: 0.5010, IoU.boat: 0.6421, IoU.bar: 0.5637, IoU.arcade machine: 0.8181, IoU.hovel: 0.6143, IoU.bus: 0.9211, IoU.towel: 0.7480, IoU.light: 0.4935, IoU.truck: 0.4789, IoU.tower: 0.2225, IoU.chandelier: 0.6899, IoU.awning: 0.3375, IoU.streetlight: 0.2215, IoU.booth: 0.5674, IoU.television receiver: 0.7592, IoU.airplane: 0.6585, IoU.dirt track: 0.1193, IoU.apparel: 0.5623, IoU.pole: 0.2461, IoU.land: 0.0321, IoU.bannister: 0.1678, IoU.escalator: 0.5225, IoU.ottoman: 0.5094, IoU.bottle: 0.3056, IoU.buffet: 0.4260, IoU.poster: 0.3233, IoU.stage: 0.2435, IoU.van: 0.4855, IoU.ship: 0.6505, IoU.fountain: 0.3232, IoU.conveyer belt: 0.8122, IoU.canopy: 0.5126, IoU.washer: 0.8245, IoU.plaything: 0.3250, IoU.swimming pool: 0.5183, IoU.stool: 0.5121, IoU.barrel: 0.5730, IoU.basket: 0.4264, IoU.waterfall: 0.4890, IoU.tent: 0.9566, IoU.bag: 0.2168, IoU.minibike: 0.7280, IoU.cradle: 0.8259, IoU.oven: 0.5678, IoU.ball: 0.1179, IoU.food: 0.6828, IoU.step: 0.1730, IoU.tank: 0.6213, IoU.trade name: 0.2566, IoU.microwave: 0.8841, IoU.pot: 0.5602, IoU.animal: 0.7370, IoU.bicycle: 0.6147, IoU.lake: 0.4479, IoU.dishwasher: 0.7621, IoU.screen: 0.5675, IoU.blanket: 0.2610, IoU.sculpture: 0.6829, IoU.hood: 0.5371, IoU.sconce: 0.5366, IoU.vase: 0.4210, IoU.traffic light: 0.3258, IoU.tray: 0.1819, IoU.ashcan: 0.5151, IoU.fan: 0.6259, IoU.pier: 0.3760, IoU.crt screen: 0.0713, IoU.plate: 0.5689, IoU.monitor: 0.1273, IoU.bulletin board: 0.5890, IoU.shower: 0.0155, IoU.radiator: 0.6128, IoU.glass: 0.1782, IoU.clock: 0.3876, IoU.flag: 0.6744, Acc.wall: 0.8856, Acc.building: 0.9312, Acc.sky: 0.9729, Acc.floor: 0.9029, Acc.tree: 0.8764, Acc.ceiling: 0.9329, Acc.road: 0.9001, Acc.bed : 0.9688, Acc.windowpane: 0.8070, Acc.grass: 0.8462, Acc.cabinet: 0.8176, Acc.sidewalk: 0.8381, Acc.person: 0.9344, Acc.earth: 0.5015, Acc.door: 0.7026, Acc.table: 0.8041, Acc.mountain: 0.7119, Acc.plant: 0.6941, Acc.curtain: 0.8931, Acc.chair: 0.7876, Acc.car: 0.9504, Acc.water: 0.7300, Acc.painting: 0.8924, Acc.sofa: 0.9067, Acc.shelf: 0.6643, Acc.house: 0.7305, Acc.sea: 0.8698, Acc.mirror: 0.8523, Acc.rug: 0.7839, Acc.field: 0.6775, Acc.armchair: 0.7059, Acc.seat: 0.8694, Acc.fence: 0.6723, Acc.desk: 0.7820, Acc.rock: 0.8319, Acc.wardrobe: 0.6877, Acc.lamp: 0.8269, Acc.bathtub: 0.8730, Acc.railing: 0.6713, Acc.cushion: 0.7615, Acc.base: 0.6434, Acc.box: 0.4780, Acc.column: 0.5817, Acc.signboard: 0.5403, Acc.chest of drawers: 0.5588, Acc.counter: 0.5776, Acc.sand: 0.8351, Acc.sink: 0.8240, Acc.skyscraper: 0.5673, Acc.fireplace: 0.8368, Acc.refrigerator: 0.9168, Acc.grandstand: 0.8092, Acc.path: 0.5035, Acc.stairs: 0.5285, Acc.runway: 0.9531, Acc.case: 0.7859, Acc.pool table: 0.9769, Acc.pillow: 0.7386, Acc.screen door: 0.5055, Acc.stairway: 0.6133, Acc.river: 0.2069, Acc.bridge: 0.8615, Acc.bookcase: 0.5614, Acc.blind: 0.4686, Acc.coffee table: 0.8494, Acc.toilet: 0.9277, Acc.flower: 0.6048, Acc.book: 0.6902, Acc.hill: 0.1036, Acc.bench: 0.4950, Acc.countertop: 0.7977, Acc.stove: 0.8799, Acc.palm: 0.8490, Acc.kitchen island: 0.8184, Acc.computer: 0.9098, Acc.swivel chair: 0.7608, Acc.boat: 0.8272, Acc.bar: 0.7169, Acc.arcade machine: 0.8579, Acc.hovel: 0.7059, Acc.bus: 0.9458, Acc.towel: 0.8581, Acc.light: 0.5779, Acc.truck: 0.5809, Acc.tower: 0.4061, Acc.chandelier: 0.8210, Acc.awning: 0.3976, Acc.streetlight: 0.2817, Acc.booth: 0.6243, Acc.television receiver: 0.8982, Acc.airplane: 0.7277, Acc.dirt track: 0.1250, Acc.apparel: 0.7710, Acc.pole: 0.3123, Acc.land: 0.0485, Acc.bannister: 0.2183, Acc.escalator: 0.6552, Acc.ottoman: 0.7615, Acc.bottle: 0.3663, Acc.buffet: 0.4614, Acc.poster: 0.4257, Acc.stage: 0.4682, Acc.van: 0.6075, Acc.ship: 0.7898, Acc.fountain: 0.3270, Acc.conveyer belt: 0.9363, Acc.canopy: 0.6828, Acc.washer: 0.8751, Acc.plaything: 0.4279, Acc.swimming pool: 0.7709, Acc.stool: 0.6141, Acc.barrel: 0.7226, Acc.basket: 0.6238, Acc.waterfall: 0.5550, Acc.tent: 0.9831, Acc.bag: 0.2630, Acc.minibike: 0.8683, Acc.cradle: 0.9615, Acc.oven: 0.6699, Acc.ball: 0.1209, Acc.food: 0.7872, Acc.step: 0.2269, Acc.tank: 0.6902, Acc.trade name: 0.2960, Acc.microwave: 0.9467, Acc.pot: 0.6608, Acc.animal: 0.7667, Acc.bicycle: 0.7973, Acc.lake: 0.6760, Acc.dishwasher: 0.7963, Acc.screen: 0.7958, Acc.blanket: 0.2928, Acc.sculpture: 0.7732, Acc.hood: 0.6086, Acc.sconce: 0.6798, Acc.vase: 0.6003, Acc.traffic light: 0.5534, Acc.tray: 0.2404, Acc.ashcan: 0.6483, Acc.fan: 0.7644, Acc.pier: 0.4006, Acc.crt screen: 0.1969, Acc.plate: 0.6753, Acc.monitor: 0.1524, Acc.bulletin board: 0.7965, Acc.shower: 0.0533, Acc.radiator: 0.7351, Acc.glass: 0.1912, Acc.clock: 0.4321, Acc.flag: 0.7156 2023-11-02 07:53:45,619 - mmseg - INFO - Iter [16050/80000] lr: 2.590e-06, eta: 23:43:48, time: 2.435, data_time: 1.225, memory: 38534, decode.loss_ce: 0.3118, decode.acc_seg: 87.2019, loss: 0.3118 2023-11-02 07:54:46,395 - mmseg - INFO - Iter [16100/80000] lr: 2.588e-06, eta: 23:42:17, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3048, decode.acc_seg: 87.9112, loss: 0.3048 2023-11-02 07:55:47,175 - mmseg - INFO - Iter [16150/80000] lr: 2.586e-06, eta: 23:40:47, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2936, decode.acc_seg: 87.9729, loss: 0.2936 2023-11-02 07:56:47,916 - mmseg - INFO - Iter [16200/80000] lr: 2.584e-06, eta: 23:39:16, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2995, decode.acc_seg: 87.6097, loss: 0.2995 2023-11-02 07:57:48,662 - mmseg - INFO - Iter [16250/80000] lr: 2.582e-06, eta: 23:37:46, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3163, decode.acc_seg: 87.3032, loss: 0.3163 2023-11-02 07:58:49,390 - mmseg - INFO - Iter [16300/80000] lr: 2.580e-06, eta: 23:36:16, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3374, decode.acc_seg: 86.6575, loss: 0.3374 2023-11-02 07:59:50,145 - mmseg - INFO - Iter [16350/80000] lr: 2.578e-06, eta: 23:34:46, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3139, decode.acc_seg: 87.6618, loss: 0.3139 2023-11-02 08:00:50,970 - mmseg - INFO - Iter [16400/80000] lr: 2.576e-06, eta: 23:33:17, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3381, decode.acc_seg: 86.5720, loss: 0.3381 2023-11-02 08:01:54,117 - mmseg - INFO - Iter [16450/80000] lr: 2.574e-06, eta: 23:31:56, time: 1.263, data_time: 0.052, memory: 38534, decode.loss_ce: 0.2843, decode.acc_seg: 88.7201, loss: 0.2843 2023-11-02 08:02:54,879 - mmseg - INFO - Iter [16500/80000] lr: 2.572e-06, eta: 23:30:27, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3104, decode.acc_seg: 87.9877, loss: 0.3104 2023-11-02 08:03:55,637 - mmseg - INFO - Iter [16550/80000] lr: 2.570e-06, eta: 23:28:58, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3029, decode.acc_seg: 88.0285, loss: 0.3029 2023-11-02 08:04:56,373 - mmseg - INFO - Iter [16600/80000] lr: 2.568e-06, eta: 23:27:29, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2929, decode.acc_seg: 88.0531, loss: 0.2929 2023-11-02 08:05:57,152 - mmseg - INFO - Iter [16650/80000] lr: 2.566e-06, eta: 23:26:00, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3030, decode.acc_seg: 88.3921, loss: 0.3030 2023-11-02 08:06:57,907 - mmseg - INFO - Iter [16700/80000] lr: 2.564e-06, eta: 23:24:31, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3023, decode.acc_seg: 88.2400, loss: 0.3023 2023-11-02 08:07:58,672 - mmseg - INFO - Iter [16750/80000] lr: 2.561e-06, eta: 23:23:03, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2942, decode.acc_seg: 88.2710, loss: 0.2942 2023-11-02 08:08:59,396 - mmseg - INFO - Iter [16800/80000] lr: 2.559e-06, eta: 23:21:35, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2816, decode.acc_seg: 88.6123, loss: 0.2816 2023-11-02 08:10:00,150 - mmseg - INFO - Iter [16850/80000] lr: 2.557e-06, eta: 23:20:06, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3198, decode.acc_seg: 87.6155, loss: 0.3198 2023-11-02 08:11:00,894 - mmseg - INFO - Iter [16900/80000] lr: 2.555e-06, eta: 23:18:38, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2873, decode.acc_seg: 88.7054, loss: 0.2873 2023-11-02 08:12:01,668 - mmseg - INFO - Iter [16950/80000] lr: 2.553e-06, eta: 23:17:10, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2937, decode.acc_seg: 87.7731, loss: 0.2937 2023-11-02 08:13:02,414 - mmseg - INFO - Saving checkpoint at 17000 iterations 2023-11-02 08:14:00,972 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 08:14:00,972 - mmseg - INFO - Iter [17000/80000] lr: 2.551e-06, eta: 23:19:20, time: 2.386, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2827, decode.acc_seg: 88.5785, loss: 0.2827 2023-11-02 08:15:02,779 - mmseg - INFO - per class results: 2023-11-02 08:15:02,785 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 79.95 | 87.34 | | building | 83.36 | 93.13 | | sky | 94.3 | 96.69 | | floor | 83.92 | 90.78 | | tree | 76.74 | 89.47 | | ceiling | 85.31 | 91.9 | | road | 85.22 | 91.46 | | bed | 91.11 | 97.52 | | windowpane | 65.95 | 85.13 | | grass | 68.57 | 83.58 | | cabinet | 63.45 | 71.0 | | sidewalk | 68.29 | 82.56 | | person | 82.53 | 90.74 | | earth | 40.22 | 52.5 | | door | 59.86 | 78.11 | | table | 65.93 | 79.32 | | mountain | 62.75 | 76.7 | | plant | 54.14 | 65.65 | | curtain | 76.7 | 89.85 | | chair | 58.22 | 67.74 | | car | 86.22 | 93.48 | | water | 55.42 | 75.07 | | painting | 75.15 | 88.3 | | sofa | 73.45 | 79.36 | | shelf | 45.55 | 62.41 | | house | 51.83 | 70.08 | | sea | 55.27 | 64.38 | | mirror | 75.67 | 91.84 | | rug | 70.17 | 82.68 | | field | 36.04 | 62.18 | | armchair | 51.04 | 86.04 | | seat | 65.83 | 87.43 | | fence | 52.93 | 73.26 | | desk | 51.88 | 79.9 | | rock | 62.71 | 77.03 | | wardrobe | 53.6 | 81.8 | | lamp | 67.81 | 82.38 | | bathtub | 87.29 | 89.54 | | railing | 40.53 | 54.09 | | cushion | 60.16 | 65.4 | | base | 35.07 | 54.34 | | box | 33.96 | 39.44 | | column | 50.84 | 61.53 | | signboard | 36.81 | 48.12 | | chest of drawers | 47.57 | 74.64 | | counter | 45.99 | 52.98 | | sand | 63.11 | 84.37 | | sink | 79.41 | 88.48 | | skyscraper | 49.71 | 64.84 | | fireplace | 69.73 | 88.8 | | refrigerator | 79.99 | 94.27 | | grandstand | 58.14 | 84.51 | | path | 29.2 | 45.05 | | stairs | 32.55 | 38.4 | | runway | 67.16 | 89.08 | | case | 55.47 | 81.94 | | pool table | 93.35 | 97.93 | | pillow | 62.61 | 77.54 | | screen door | 72.87 | 77.56 | | stairway | 42.92 | 62.36 | | river | 10.66 | 26.16 | | bridge | 76.73 | 87.9 | | bookcase | 37.08 | 49.24 | | blind | 40.11 | 43.81 | | coffee table | 60.51 | 88.5 | | toilet | 87.93 | 92.35 | | flower | 42.04 | 69.52 | | book | 50.21 | 76.17 | | hill | 6.98 | 7.83 | | bench | 55.18 | 64.67 | | countertop | 61.37 | 85.97 | | stove | 81.99 | 92.88 | | palm | 51.83 | 77.38 | | kitchen island | 47.81 | 75.67 | | computer | 74.34 | 91.53 | | swivel chair | 47.95 | 80.56 | | boat | 61.82 | 92.76 | | bar | 67.41 | 78.57 | | arcade machine | 87.69 | 96.03 | | hovel | 57.73 | 65.0 | | bus | 91.7 | 95.91 | | towel | 75.67 | 85.63 | | light | 49.04 | 56.74 | | truck | 45.94 | 59.94 | | tower | 26.21 | 52.89 | | chandelier | 68.04 | 82.37 | | awning | 39.43 | 48.05 | | streetlight | 23.55 | 29.01 | | booth | 50.84 | 59.06 | | television receiver | 75.57 | 88.01 | | airplane | 84.33 | 92.86 | | dirt track | 20.47 | 50.5 | | apparel | 43.12 | 57.75 | | pole | 22.9 | 30.16 | | land | 0.28 | 0.4 | | bannister | 15.43 | 18.75 | | escalator | 60.05 | 79.63 | | ottoman | 50.85 | 72.34 | | bottle | 38.59 | 65.2 | | buffet | 59.25 | 79.18 | | poster | 32.53 | 44.83 | | stage | 18.81 | 36.2 | | van | 48.13 | 61.75 | | ship | 62.51 | 69.63 | | fountain | 18.11 | 18.24 | | conveyer belt | 77.96 | 96.4 | | canopy | 30.7 | 41.62 | | washer | 87.39 | 92.7 | | plaything | 31.02 | 48.18 | | swimming pool | 56.75 | 83.96 | | stool | 47.8 | 53.91 | | barrel | 50.86 | 66.15 | | basket | 42.1 | 56.95 | | waterfall | 46.62 | 55.93 | | tent | 96.47 | 97.55 | | bag | 25.44 | 28.2 | | minibike | 72.7 | 85.58 | | cradle | 79.12 | 97.51 | | oven | 60.09 | 77.38 | | ball | 59.57 | 74.56 | | food | 66.36 | 74.1 | | step | 16.04 | 18.84 | | tank | 60.58 | 67.19 | | trade name | 28.47 | 33.71 | | microwave | 88.33 | 95.23 | | pot | 55.06 | 61.56 | | animal | 73.73 | 77.55 | | bicycle | 61.68 | 81.17 | | lake | 61.9 | 69.29 | | dishwasher | 75.33 | 82.32 | | screen | 54.22 | 73.18 | | blanket | 28.63 | 32.93 | | sculpture | 66.05 | 76.73 | | hood | 57.88 | 74.71 | | sconce | 53.5 | 67.53 | | vase | 42.89 | 56.55 | | traffic light | 32.19 | 52.59 | | tray | 8.95 | 10.5 | | ashcan | 50.77 | 67.23 | | fan | 62.12 | 74.45 | | pier | 32.63 | 42.01 | | crt screen | 7.39 | 20.92 | | plate | 56.95 | 71.91 | | monitor | 19.33 | 24.38 | | bulletin board | 57.07 | 70.71 | | shower | 7.3 | 10.16 | | radiator | 63.42 | 77.54 | | glass | 14.59 | 15.08 | | clock | 46.13 | 55.38 | | flag | 66.1 | 69.07 | +---------------------+-------+-------+ 2023-11-02 08:15:02,785 - mmseg - INFO - Summary: 2023-11-02 08:15:02,785 - mmseg - INFO - +-------+------+-------+ | aAcc | mIoU | mAcc | +-------+------+-------+ | 84.98 | 55.2 | 68.35 | +-------+------+-------+ 2023-11-02 08:15:02,785 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 08:15:02,786 - mmseg - INFO - Iter(val) [250] aAcc: 0.8498, mIoU: 0.5520, mAcc: 0.6835, IoU.wall: 0.7995, IoU.building: 0.8336, IoU.sky: 0.9430, IoU.floor: 0.8392, IoU.tree: 0.7674, IoU.ceiling: 0.8531, IoU.road: 0.8522, IoU.bed : 0.9111, IoU.windowpane: 0.6595, IoU.grass: 0.6857, IoU.cabinet: 0.6345, IoU.sidewalk: 0.6829, IoU.person: 0.8253, IoU.earth: 0.4022, IoU.door: 0.5986, IoU.table: 0.6593, IoU.mountain: 0.6275, IoU.plant: 0.5414, IoU.curtain: 0.7670, IoU.chair: 0.5822, IoU.car: 0.8622, IoU.water: 0.5542, IoU.painting: 0.7515, IoU.sofa: 0.7345, IoU.shelf: 0.4555, IoU.house: 0.5183, IoU.sea: 0.5527, IoU.mirror: 0.7567, IoU.rug: 0.7017, IoU.field: 0.3604, IoU.armchair: 0.5104, IoU.seat: 0.6583, IoU.fence: 0.5293, IoU.desk: 0.5188, IoU.rock: 0.6271, IoU.wardrobe: 0.5360, IoU.lamp: 0.6781, IoU.bathtub: 0.8729, IoU.railing: 0.4053, IoU.cushion: 0.6016, IoU.base: 0.3507, IoU.box: 0.3396, IoU.column: 0.5084, IoU.signboard: 0.3681, IoU.chest of drawers: 0.4757, IoU.counter: 0.4599, IoU.sand: 0.6311, IoU.sink: 0.7941, IoU.skyscraper: 0.4971, IoU.fireplace: 0.6973, IoU.refrigerator: 0.7999, IoU.grandstand: 0.5814, IoU.path: 0.2920, IoU.stairs: 0.3255, IoU.runway: 0.6716, IoU.case: 0.5547, IoU.pool table: 0.9335, IoU.pillow: 0.6261, IoU.screen door: 0.7287, IoU.stairway: 0.4292, IoU.river: 0.1066, IoU.bridge: 0.7673, IoU.bookcase: 0.3708, IoU.blind: 0.4011, IoU.coffee table: 0.6051, IoU.toilet: 0.8793, IoU.flower: 0.4204, IoU.book: 0.5021, IoU.hill: 0.0698, IoU.bench: 0.5518, IoU.countertop: 0.6137, IoU.stove: 0.8199, IoU.palm: 0.5183, IoU.kitchen island: 0.4781, IoU.computer: 0.7434, IoU.swivel chair: 0.4795, IoU.boat: 0.6182, IoU.bar: 0.6741, IoU.arcade machine: 0.8769, IoU.hovel: 0.5773, IoU.bus: 0.9170, IoU.towel: 0.7567, IoU.light: 0.4904, IoU.truck: 0.4594, IoU.tower: 0.2621, IoU.chandelier: 0.6804, IoU.awning: 0.3943, IoU.streetlight: 0.2355, IoU.booth: 0.5084, IoU.television receiver: 0.7557, IoU.airplane: 0.8433, IoU.dirt track: 0.2047, IoU.apparel: 0.4312, IoU.pole: 0.2290, IoU.land: 0.0028, IoU.bannister: 0.1543, IoU.escalator: 0.6005, IoU.ottoman: 0.5085, IoU.bottle: 0.3859, IoU.buffet: 0.5925, IoU.poster: 0.3253, IoU.stage: 0.1881, IoU.van: 0.4813, IoU.ship: 0.6251, IoU.fountain: 0.1811, IoU.conveyer belt: 0.7796, IoU.canopy: 0.3070, IoU.washer: 0.8739, IoU.plaything: 0.3102, IoU.swimming pool: 0.5675, IoU.stool: 0.4780, IoU.barrel: 0.5086, IoU.basket: 0.4210, IoU.waterfall: 0.4662, IoU.tent: 0.9647, IoU.bag: 0.2544, IoU.minibike: 0.7270, IoU.cradle: 0.7912, IoU.oven: 0.6009, IoU.ball: 0.5957, IoU.food: 0.6636, IoU.step: 0.1604, IoU.tank: 0.6058, IoU.trade name: 0.2847, IoU.microwave: 0.8833, IoU.pot: 0.5506, IoU.animal: 0.7373, IoU.bicycle: 0.6168, IoU.lake: 0.6190, IoU.dishwasher: 0.7533, IoU.screen: 0.5422, IoU.blanket: 0.2863, IoU.sculpture: 0.6605, IoU.hood: 0.5788, IoU.sconce: 0.5350, IoU.vase: 0.4289, IoU.traffic light: 0.3219, IoU.tray: 0.0895, IoU.ashcan: 0.5077, IoU.fan: 0.6212, IoU.pier: 0.3263, IoU.crt screen: 0.0739, IoU.plate: 0.5695, IoU.monitor: 0.1933, IoU.bulletin board: 0.5707, IoU.shower: 0.0730, IoU.radiator: 0.6342, IoU.glass: 0.1459, IoU.clock: 0.4613, IoU.flag: 0.6610, Acc.wall: 0.8734, Acc.building: 0.9313, Acc.sky: 0.9669, Acc.floor: 0.9078, Acc.tree: 0.8947, Acc.ceiling: 0.9190, Acc.road: 0.9146, Acc.bed : 0.9752, Acc.windowpane: 0.8513, Acc.grass: 0.8358, Acc.cabinet: 0.7100, Acc.sidewalk: 0.8256, Acc.person: 0.9074, Acc.earth: 0.5250, Acc.door: 0.7811, Acc.table: 0.7932, Acc.mountain: 0.7670, Acc.plant: 0.6565, Acc.curtain: 0.8985, Acc.chair: 0.6774, Acc.car: 0.9348, Acc.water: 0.7507, Acc.painting: 0.8830, Acc.sofa: 0.7936, Acc.shelf: 0.6241, Acc.house: 0.7008, Acc.sea: 0.6438, Acc.mirror: 0.9184, Acc.rug: 0.8268, Acc.field: 0.6218, Acc.armchair: 0.8604, Acc.seat: 0.8743, Acc.fence: 0.7326, Acc.desk: 0.7990, Acc.rock: 0.7703, Acc.wardrobe: 0.8180, Acc.lamp: 0.8238, Acc.bathtub: 0.8954, Acc.railing: 0.5409, Acc.cushion: 0.6540, Acc.base: 0.5434, Acc.box: 0.3944, Acc.column: 0.6153, Acc.signboard: 0.4812, Acc.chest of drawers: 0.7464, Acc.counter: 0.5298, Acc.sand: 0.8437, Acc.sink: 0.8848, Acc.skyscraper: 0.6484, Acc.fireplace: 0.8880, Acc.refrigerator: 0.9427, Acc.grandstand: 0.8451, Acc.path: 0.4505, Acc.stairs: 0.3840, Acc.runway: 0.8908, Acc.case: 0.8194, Acc.pool table: 0.9793, Acc.pillow: 0.7754, Acc.screen door: 0.7756, Acc.stairway: 0.6236, Acc.river: 0.2616, Acc.bridge: 0.8790, Acc.bookcase: 0.4924, Acc.blind: 0.4381, Acc.coffee table: 0.8850, Acc.toilet: 0.9235, Acc.flower: 0.6952, Acc.book: 0.7617, Acc.hill: 0.0783, Acc.bench: 0.6467, Acc.countertop: 0.8597, Acc.stove: 0.9288, Acc.palm: 0.7738, Acc.kitchen island: 0.7567, Acc.computer: 0.9153, Acc.swivel chair: 0.8056, Acc.boat: 0.9276, Acc.bar: 0.7857, Acc.arcade machine: 0.9603, Acc.hovel: 0.6500, Acc.bus: 0.9591, Acc.towel: 0.8563, Acc.light: 0.5674, Acc.truck: 0.5994, Acc.tower: 0.5289, Acc.chandelier: 0.8237, Acc.awning: 0.4805, Acc.streetlight: 0.2901, Acc.booth: 0.5906, Acc.television receiver: 0.8801, Acc.airplane: 0.9286, Acc.dirt track: 0.5050, Acc.apparel: 0.5775, Acc.pole: 0.3016, Acc.land: 0.0040, Acc.bannister: 0.1875, Acc.escalator: 0.7963, Acc.ottoman: 0.7234, Acc.bottle: 0.6520, Acc.buffet: 0.7918, Acc.poster: 0.4483, Acc.stage: 0.3620, Acc.van: 0.6175, Acc.ship: 0.6963, Acc.fountain: 0.1824, Acc.conveyer belt: 0.9640, Acc.canopy: 0.4162, Acc.washer: 0.9270, Acc.plaything: 0.4818, Acc.swimming pool: 0.8396, Acc.stool: 0.5391, Acc.barrel: 0.6615, Acc.basket: 0.5695, Acc.waterfall: 0.5593, Acc.tent: 0.9755, Acc.bag: 0.2820, Acc.minibike: 0.8558, Acc.cradle: 0.9751, Acc.oven: 0.7738, Acc.ball: 0.7456, Acc.food: 0.7410, Acc.step: 0.1884, Acc.tank: 0.6719, Acc.trade name: 0.3371, Acc.microwave: 0.9523, Acc.pot: 0.6156, Acc.animal: 0.7755, Acc.bicycle: 0.8117, Acc.lake: 0.6929, Acc.dishwasher: 0.8232, Acc.screen: 0.7318, Acc.blanket: 0.3293, Acc.sculpture: 0.7673, Acc.hood: 0.7471, Acc.sconce: 0.6753, Acc.vase: 0.5655, Acc.traffic light: 0.5259, Acc.tray: 0.1050, Acc.ashcan: 0.6723, Acc.fan: 0.7445, Acc.pier: 0.4201, Acc.crt screen: 0.2092, Acc.plate: 0.7191, Acc.monitor: 0.2438, Acc.bulletin board: 0.7071, Acc.shower: 0.1016, Acc.radiator: 0.7754, Acc.glass: 0.1508, Acc.clock: 0.5538, Acc.flag: 0.6907 2023-11-02 08:16:03,606 - mmseg - INFO - Iter [17050/80000] lr: 2.549e-06, eta: 23:21:40, time: 2.453, data_time: 1.244, memory: 38534, decode.loss_ce: 0.3064, decode.acc_seg: 88.0129, loss: 0.3064 2023-11-02 08:17:04,361 - mmseg - INFO - Iter [17100/80000] lr: 2.547e-06, eta: 23:20:11, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3054, decode.acc_seg: 87.6918, loss: 0.3054 2023-11-02 08:18:05,110 - mmseg - INFO - Iter [17150/80000] lr: 2.545e-06, eta: 23:18:42, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2858, decode.acc_seg: 88.4776, loss: 0.2858 2023-11-02 08:19:05,851 - mmseg - INFO - Iter [17200/80000] lr: 2.543e-06, eta: 23:17:13, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2972, decode.acc_seg: 88.3592, loss: 0.2972 2023-11-02 08:20:06,610 - mmseg - INFO - Iter [17250/80000] lr: 2.541e-06, eta: 23:15:45, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3036, decode.acc_seg: 87.9683, loss: 0.3036 2023-11-02 08:21:07,389 - mmseg - INFO - Iter [17300/80000] lr: 2.539e-06, eta: 23:14:16, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3009, decode.acc_seg: 87.9705, loss: 0.3009 2023-11-02 08:22:08,113 - mmseg - INFO - Iter [17350/80000] lr: 2.537e-06, eta: 23:12:48, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3271, decode.acc_seg: 86.9518, loss: 0.3271 2023-11-02 08:23:08,855 - mmseg - INFO - Iter [17400/80000] lr: 2.535e-06, eta: 23:11:20, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2967, decode.acc_seg: 87.8510, loss: 0.2967 2023-11-02 08:24:09,648 - mmseg - INFO - Iter [17450/80000] lr: 2.533e-06, eta: 23:09:52, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3002, decode.acc_seg: 88.4752, loss: 0.3002 2023-11-02 08:25:10,433 - mmseg - INFO - Iter [17500/80000] lr: 2.531e-06, eta: 23:08:24, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2939, decode.acc_seg: 88.0330, loss: 0.2939 2023-11-02 08:26:11,137 - mmseg - INFO - Iter [17550/80000] lr: 2.529e-06, eta: 23:06:57, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2870, decode.acc_seg: 88.1201, loss: 0.2870 2023-11-02 08:27:11,897 - mmseg - INFO - Iter [17600/80000] lr: 2.527e-06, eta: 23:05:29, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3058, decode.acc_seg: 88.0477, loss: 0.3058 2023-11-02 08:28:12,624 - mmseg - INFO - Iter [17650/80000] lr: 2.525e-06, eta: 23:04:02, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2931, decode.acc_seg: 88.3440, loss: 0.2931 2023-11-02 08:29:15,637 - mmseg - INFO - Iter [17700/80000] lr: 2.523e-06, eta: 23:02:43, time: 1.260, data_time: 0.052, memory: 38534, decode.loss_ce: 0.2902, decode.acc_seg: 88.5417, loss: 0.2902 2023-11-02 08:30:16,410 - mmseg - INFO - Iter [17750/80000] lr: 2.521e-06, eta: 23:01:16, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2620, decode.acc_seg: 89.6539, loss: 0.2620 2023-11-02 08:31:17,134 - mmseg - INFO - Iter [17800/80000] lr: 2.519e-06, eta: 22:59:49, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2736, decode.acc_seg: 89.1116, loss: 0.2736 2023-11-02 08:32:17,876 - mmseg - INFO - Iter [17850/80000] lr: 2.517e-06, eta: 22:58:22, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2920, decode.acc_seg: 88.1824, loss: 0.2920 2023-11-02 08:33:18,627 - mmseg - INFO - Iter [17900/80000] lr: 2.515e-06, eta: 22:56:55, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2702, decode.acc_seg: 89.1227, loss: 0.2702 2023-11-02 08:34:19,365 - mmseg - INFO - Iter [17950/80000] lr: 2.513e-06, eta: 22:55:29, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2775, decode.acc_seg: 88.8365, loss: 0.2775 2023-11-02 08:35:20,139 - mmseg - INFO - Saving checkpoint at 18000 iterations 2023-11-02 08:36:14,252 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 08:36:14,252 - mmseg - INFO - Iter [18000/80000] lr: 2.511e-06, eta: 22:57:09, time: 2.298, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2756, decode.acc_seg: 88.9227, loss: 0.2756 2023-11-02 08:37:11,435 - mmseg - INFO - per class results: 2023-11-02 08:37:11,440 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 80.58 | 89.53 | | building | 83.66 | 93.17 | | sky | 94.31 | 96.53 | | floor | 83.02 | 89.67 | | tree | 76.12 | 87.64 | | ceiling | 85.73 | 91.36 | | road | 84.27 | 88.0 | | bed | 91.52 | 96.68 | | windowpane | 66.07 | 83.29 | | grass | 66.06 | 78.54 | | cabinet | 66.14 | 77.22 | | sidewalk | 65.8 | 87.95 | | person | 82.4 | 91.08 | | earth | 38.01 | 49.6 | | door | 59.69 | 69.47 | | table | 66.5 | 79.72 | | mountain | 62.34 | 74.66 | | plant | 55.69 | 68.07 | | curtain | 78.29 | 87.31 | | chair | 61.78 | 72.95 | | car | 86.17 | 93.39 | | water | 62.51 | 78.81 | | painting | 76.07 | 90.65 | | sofa | 76.35 | 88.05 | | shelf | 44.87 | 67.48 | | house | 49.1 | 67.4 | | sea | 73.41 | 87.65 | | mirror | 75.29 | 83.51 | | rug | 66.0 | 77.5 | | field | 31.93 | 58.89 | | armchair | 56.34 | 75.82 | | seat | 63.99 | 87.48 | | fence | 48.79 | 68.91 | | desk | 56.12 | 78.29 | | rock | 59.97 | 83.53 | | wardrobe | 57.59 | 71.78 | | lamp | 68.04 | 81.19 | | bathtub | 86.66 | 90.87 | | railing | 38.99 | 54.14 | | cushion | 63.59 | 79.6 | | base | 31.89 | 49.87 | | box | 32.77 | 40.71 | | column | 49.85 | 62.54 | | signboard | 39.33 | 49.18 | | chest of drawers | 47.21 | 75.27 | | counter | 38.74 | 54.5 | | sand | 59.05 | 86.34 | | sink | 80.74 | 88.03 | | skyscraper | 45.11 | 69.7 | | fireplace | 70.47 | 95.68 | | refrigerator | 82.41 | 87.81 | | grandstand | 59.9 | 80.37 | | path | 30.45 | 41.39 | | stairs | 32.87 | 40.64 | | runway | 74.96 | 98.12 | | case | 53.01 | 72.6 | | pool table | 93.48 | 96.2 | | pillow | 61.73 | 70.29 | | screen door | 81.08 | 84.64 | | stairway | 37.56 | 54.96 | | river | 21.13 | 34.65 | | bridge | 76.11 | 83.28 | | bookcase | 40.32 | 58.1 | | blind | 41.25 | 47.16 | | coffee table | 59.96 | 89.27 | | toilet | 88.27 | 93.51 | | flower | 38.36 | 55.39 | | book | 48.96 | 70.94 | | hill | 6.69 | 14.16 | | bench | 55.1 | 60.75 | | countertop | 62.49 | 79.94 | | stove | 81.25 | 90.76 | | palm | 50.14 | 82.71 | | kitchen island | 45.62 | 71.14 | | computer | 75.73 | 90.87 | | swivel chair | 48.34 | 76.24 | | boat | 56.63 | 92.14 | | bar | 66.06 | 77.29 | | arcade machine | 76.82 | 83.44 | | hovel | 27.88 | 29.76 | | bus | 91.65 | 96.64 | | towel | 70.64 | 77.32 | | light | 50.72 | 62.47 | | truck | 47.71 | 61.41 | | tower | 31.5 | 48.2 | | chandelier | 69.21 | 84.79 | | awning | 34.16 | 43.14 | | streetlight | 28.21 | 37.61 | | booth | 43.55 | 64.51 | | television receiver | 77.92 | 89.54 | | airplane | 66.22 | 74.04 | | dirt track | 23.44 | 28.73 | | apparel | 53.43 | 79.45 | | pole | 24.23 | 31.81 | | land | 2.95 | 8.27 | | bannister | 14.3 | 16.56 | | escalator | 62.15 | 79.3 | | ottoman | 49.21 | 79.64 | | bottle | 40.35 | 62.35 | | buffet | 48.57 | 53.63 | | poster | 33.09 | 40.91 | | stage | 24.27 | 58.05 | | van | 50.88 | 71.5 | | ship | 84.49 | 86.97 | | fountain | 46.4 | 46.77 | | conveyer belt | 66.98 | 96.48 | | canopy | 42.76 | 57.81 | | washer | 83.6 | 89.19 | | plaything | 32.94 | 46.04 | | swimming pool | 60.67 | 83.74 | | stool | 50.28 | 65.34 | | barrel | 49.28 | 64.77 | | basket | 42.34 | 60.12 | | waterfall | 48.31 | 51.43 | | tent | 89.91 | 98.57 | | bag | 22.4 | 26.15 | | minibike | 72.86 | 89.39 | | cradle | 86.69 | 95.18 | | oven | 62.47 | 74.32 | | ball | 58.24 | 71.35 | | food | 65.29 | 72.22 | | step | 12.05 | 15.35 | | tank | 61.78 | 66.64 | | trade name | 32.65 | 39.67 | | microwave | 88.82 | 94.74 | | pot | 53.56 | 59.56 | | animal | 74.22 | 77.03 | | bicycle | 58.68 | 76.58 | | lake | 57.78 | 63.64 | | dishwasher | 76.16 | 80.17 | | screen | 55.36 | 87.29 | | blanket | 23.49 | 25.94 | | sculpture | 72.69 | 79.61 | | hood | 59.44 | 72.19 | | sconce | 53.77 | 67.73 | | vase | 44.31 | 60.51 | | traffic light | 33.01 | 61.27 | | tray | 12.26 | 14.71 | | ashcan | 50.19 | 63.2 | | fan | 62.02 | 73.83 | | pier | 36.26 | 43.09 | | crt screen | 7.22 | 19.05 | | plate | 60.02 | 75.89 | | monitor | 9.78 | 10.91 | | bulletin board | 58.37 | 65.4 | | shower | 4.99 | 7.36 | | radiator | 63.87 | 79.27 | | glass | 16.95 | 17.86 | | clock | 41.85 | 46.31 | | flag | 65.53 | 76.36 | +---------------------+-------+-------+ 2023-11-02 08:37:11,440 - mmseg - INFO - Summary: 2023-11-02 08:37:11,440 - mmseg - INFO - +-------+-------+------+ | aAcc | mIoU | mAcc | +-------+-------+------+ | 85.03 | 55.41 | 68.3 | +-------+-------+------+ 2023-11-02 08:37:11,441 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 08:37:11,441 - mmseg - INFO - Iter(val) [250] aAcc: 0.8503, mIoU: 0.5541, mAcc: 0.6830, IoU.wall: 0.8058, IoU.building: 0.8366, IoU.sky: 0.9431, IoU.floor: 0.8302, IoU.tree: 0.7612, IoU.ceiling: 0.8573, IoU.road: 0.8427, IoU.bed : 0.9152, IoU.windowpane: 0.6607, IoU.grass: 0.6606, IoU.cabinet: 0.6614, IoU.sidewalk: 0.6580, IoU.person: 0.8240, IoU.earth: 0.3801, IoU.door: 0.5969, IoU.table: 0.6650, IoU.mountain: 0.6234, IoU.plant: 0.5569, IoU.curtain: 0.7829, IoU.chair: 0.6178, IoU.car: 0.8617, IoU.water: 0.6251, IoU.painting: 0.7607, IoU.sofa: 0.7635, IoU.shelf: 0.4487, IoU.house: 0.4910, IoU.sea: 0.7341, IoU.mirror: 0.7529, IoU.rug: 0.6600, IoU.field: 0.3193, IoU.armchair: 0.5634, IoU.seat: 0.6399, IoU.fence: 0.4879, IoU.desk: 0.5612, IoU.rock: 0.5997, IoU.wardrobe: 0.5759, IoU.lamp: 0.6804, IoU.bathtub: 0.8666, IoU.railing: 0.3899, IoU.cushion: 0.6359, IoU.base: 0.3189, IoU.box: 0.3277, IoU.column: 0.4985, IoU.signboard: 0.3933, IoU.chest of drawers: 0.4721, IoU.counter: 0.3874, IoU.sand: 0.5905, IoU.sink: 0.8074, IoU.skyscraper: 0.4511, IoU.fireplace: 0.7047, IoU.refrigerator: 0.8241, IoU.grandstand: 0.5990, IoU.path: 0.3045, IoU.stairs: 0.3287, IoU.runway: 0.7496, IoU.case: 0.5301, IoU.pool table: 0.9348, IoU.pillow: 0.6173, IoU.screen door: 0.8108, IoU.stairway: 0.3756, IoU.river: 0.2113, IoU.bridge: 0.7611, IoU.bookcase: 0.4032, IoU.blind: 0.4125, IoU.coffee table: 0.5996, IoU.toilet: 0.8827, IoU.flower: 0.3836, IoU.book: 0.4896, IoU.hill: 0.0669, IoU.bench: 0.5510, IoU.countertop: 0.6249, IoU.stove: 0.8125, IoU.palm: 0.5014, IoU.kitchen island: 0.4562, IoU.computer: 0.7573, IoU.swivel chair: 0.4834, IoU.boat: 0.5663, IoU.bar: 0.6606, IoU.arcade machine: 0.7682, IoU.hovel: 0.2788, IoU.bus: 0.9165, IoU.towel: 0.7064, IoU.light: 0.5072, IoU.truck: 0.4771, IoU.tower: 0.3150, IoU.chandelier: 0.6921, IoU.awning: 0.3416, IoU.streetlight: 0.2821, IoU.booth: 0.4355, IoU.television receiver: 0.7792, IoU.airplane: 0.6622, IoU.dirt track: 0.2344, IoU.apparel: 0.5343, IoU.pole: 0.2423, IoU.land: 0.0295, IoU.bannister: 0.1430, IoU.escalator: 0.6215, IoU.ottoman: 0.4921, IoU.bottle: 0.4035, IoU.buffet: 0.4857, IoU.poster: 0.3309, IoU.stage: 0.2427, IoU.van: 0.5088, IoU.ship: 0.8449, IoU.fountain: 0.4640, IoU.conveyer belt: 0.6698, IoU.canopy: 0.4276, IoU.washer: 0.8360, IoU.plaything: 0.3294, IoU.swimming pool: 0.6067, IoU.stool: 0.5028, IoU.barrel: 0.4928, IoU.basket: 0.4234, IoU.waterfall: 0.4831, IoU.tent: 0.8991, IoU.bag: 0.2240, IoU.minibike: 0.7286, IoU.cradle: 0.8669, IoU.oven: 0.6247, IoU.ball: 0.5824, IoU.food: 0.6529, IoU.step: 0.1205, IoU.tank: 0.6178, IoU.trade name: 0.3265, IoU.microwave: 0.8882, IoU.pot: 0.5356, IoU.animal: 0.7422, IoU.bicycle: 0.5868, IoU.lake: 0.5778, IoU.dishwasher: 0.7616, IoU.screen: 0.5536, IoU.blanket: 0.2349, IoU.sculpture: 0.7269, IoU.hood: 0.5944, IoU.sconce: 0.5377, IoU.vase: 0.4431, IoU.traffic light: 0.3301, IoU.tray: 0.1226, IoU.ashcan: 0.5019, IoU.fan: 0.6202, IoU.pier: 0.3626, IoU.crt screen: 0.0722, IoU.plate: 0.6002, IoU.monitor: 0.0978, IoU.bulletin board: 0.5837, IoU.shower: 0.0499, IoU.radiator: 0.6387, IoU.glass: 0.1695, IoU.clock: 0.4185, IoU.flag: 0.6553, Acc.wall: 0.8953, Acc.building: 0.9317, Acc.sky: 0.9653, Acc.floor: 0.8967, Acc.tree: 0.8764, Acc.ceiling: 0.9136, Acc.road: 0.8800, Acc.bed : 0.9668, Acc.windowpane: 0.8329, Acc.grass: 0.7854, Acc.cabinet: 0.7722, Acc.sidewalk: 0.8795, Acc.person: 0.9108, Acc.earth: 0.4960, Acc.door: 0.6947, Acc.table: 0.7972, Acc.mountain: 0.7466, Acc.plant: 0.6807, Acc.curtain: 0.8731, Acc.chair: 0.7295, Acc.car: 0.9339, Acc.water: 0.7881, Acc.painting: 0.9065, Acc.sofa: 0.8805, Acc.shelf: 0.6748, Acc.house: 0.6740, Acc.sea: 0.8765, Acc.mirror: 0.8351, Acc.rug: 0.7750, Acc.field: 0.5889, Acc.armchair: 0.7582, Acc.seat: 0.8748, Acc.fence: 0.6891, Acc.desk: 0.7829, Acc.rock: 0.8353, Acc.wardrobe: 0.7178, Acc.lamp: 0.8119, Acc.bathtub: 0.9087, Acc.railing: 0.5414, Acc.cushion: 0.7960, Acc.base: 0.4987, Acc.box: 0.4071, Acc.column: 0.6254, Acc.signboard: 0.4918, Acc.chest of drawers: 0.7527, Acc.counter: 0.5450, Acc.sand: 0.8634, Acc.sink: 0.8803, Acc.skyscraper: 0.6970, Acc.fireplace: 0.9568, Acc.refrigerator: 0.8781, Acc.grandstand: 0.8037, Acc.path: 0.4139, Acc.stairs: 0.4064, Acc.runway: 0.9812, Acc.case: 0.7260, Acc.pool table: 0.9620, Acc.pillow: 0.7029, Acc.screen door: 0.8464, Acc.stairway: 0.5496, Acc.river: 0.3465, Acc.bridge: 0.8328, Acc.bookcase: 0.5810, Acc.blind: 0.4716, Acc.coffee table: 0.8927, Acc.toilet: 0.9351, Acc.flower: 0.5539, Acc.book: 0.7094, Acc.hill: 0.1416, Acc.bench: 0.6075, Acc.countertop: 0.7994, Acc.stove: 0.9076, Acc.palm: 0.8271, Acc.kitchen island: 0.7114, Acc.computer: 0.9087, Acc.swivel chair: 0.7624, Acc.boat: 0.9214, Acc.bar: 0.7729, Acc.arcade machine: 0.8344, Acc.hovel: 0.2976, Acc.bus: 0.9664, Acc.towel: 0.7732, Acc.light: 0.6247, Acc.truck: 0.6141, Acc.tower: 0.4820, Acc.chandelier: 0.8479, Acc.awning: 0.4314, Acc.streetlight: 0.3761, Acc.booth: 0.6451, Acc.television receiver: 0.8954, Acc.airplane: 0.7404, Acc.dirt track: 0.2873, Acc.apparel: 0.7945, Acc.pole: 0.3181, Acc.land: 0.0827, Acc.bannister: 0.1656, Acc.escalator: 0.7930, Acc.ottoman: 0.7964, Acc.bottle: 0.6235, Acc.buffet: 0.5363, Acc.poster: 0.4091, Acc.stage: 0.5805, Acc.van: 0.7150, Acc.ship: 0.8697, Acc.fountain: 0.4677, Acc.conveyer belt: 0.9648, Acc.canopy: 0.5781, Acc.washer: 0.8919, Acc.plaything: 0.4604, Acc.swimming pool: 0.8374, Acc.stool: 0.6534, Acc.barrel: 0.6477, Acc.basket: 0.6012, Acc.waterfall: 0.5143, Acc.tent: 0.9857, Acc.bag: 0.2615, Acc.minibike: 0.8939, Acc.cradle: 0.9518, Acc.oven: 0.7432, Acc.ball: 0.7135, Acc.food: 0.7222, Acc.step: 0.1535, Acc.tank: 0.6664, Acc.trade name: 0.3967, Acc.microwave: 0.9474, Acc.pot: 0.5956, Acc.animal: 0.7703, Acc.bicycle: 0.7658, Acc.lake: 0.6364, Acc.dishwasher: 0.8017, Acc.screen: 0.8729, Acc.blanket: 0.2594, Acc.sculpture: 0.7961, Acc.hood: 0.7219, Acc.sconce: 0.6773, Acc.vase: 0.6051, Acc.traffic light: 0.6127, Acc.tray: 0.1471, Acc.ashcan: 0.6320, Acc.fan: 0.7383, Acc.pier: 0.4309, Acc.crt screen: 0.1905, Acc.plate: 0.7589, Acc.monitor: 0.1091, Acc.bulletin board: 0.6540, Acc.shower: 0.0736, Acc.radiator: 0.7927, Acc.glass: 0.1786, Acc.clock: 0.4631, Acc.flag: 0.7636 2023-11-02 08:38:12,273 - mmseg - INFO - Iter [18050/80000] lr: 2.509e-06, eta: 22:58:59, time: 2.360, data_time: 1.151, memory: 38534, decode.loss_ce: 0.2557, decode.acc_seg: 89.6112, loss: 0.2557 2023-11-02 08:39:13,059 - mmseg - INFO - Iter [18100/80000] lr: 2.507e-06, eta: 22:57:31, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2776, decode.acc_seg: 88.8115, loss: 0.2776 2023-11-02 08:40:13,845 - mmseg - INFO - Iter [18150/80000] lr: 2.505e-06, eta: 22:56:04, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2713, decode.acc_seg: 89.3213, loss: 0.2713 2023-11-02 08:41:14,623 - mmseg - INFO - Iter [18200/80000] lr: 2.503e-06, eta: 22:54:37, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2756, decode.acc_seg: 88.6942, loss: 0.2756 2023-11-02 08:42:15,359 - mmseg - INFO - Iter [18250/80000] lr: 2.501e-06, eta: 22:53:10, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2891, decode.acc_seg: 88.4093, loss: 0.2891 2023-11-02 08:43:16,096 - mmseg - INFO - Iter [18300/80000] lr: 2.499e-06, eta: 22:51:43, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2795, decode.acc_seg: 88.5500, loss: 0.2795 2023-11-02 08:44:16,862 - mmseg - INFO - Iter [18350/80000] lr: 2.497e-06, eta: 22:50:17, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2749, decode.acc_seg: 89.1913, loss: 0.2749 2023-11-02 08:45:17,610 - mmseg - INFO - Iter [18400/80000] lr: 2.495e-06, eta: 22:48:50, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2869, decode.acc_seg: 88.4145, loss: 0.2869 2023-11-02 08:46:18,377 - mmseg - INFO - Iter [18450/80000] lr: 2.493e-06, eta: 22:47:24, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2991, decode.acc_seg: 88.0030, loss: 0.2991 2023-11-02 08:47:19,169 - mmseg - INFO - Iter [18500/80000] lr: 2.491e-06, eta: 22:45:58, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2927, decode.acc_seg: 88.2035, loss: 0.2927 2023-11-02 08:48:19,924 - mmseg - INFO - Iter [18550/80000] lr: 2.489e-06, eta: 22:44:32, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2844, decode.acc_seg: 88.8143, loss: 0.2844 2023-11-02 08:49:20,673 - mmseg - INFO - Iter [18600/80000] lr: 2.487e-06, eta: 22:43:06, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2866, decode.acc_seg: 88.6249, loss: 0.2866 2023-11-02 08:50:21,513 - mmseg - INFO - Iter [18650/80000] lr: 2.485e-06, eta: 22:41:40, time: 1.217, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2944, decode.acc_seg: 88.2633, loss: 0.2944 2023-11-02 08:51:22,274 - mmseg - INFO - Iter [18700/80000] lr: 2.483e-06, eta: 22:40:14, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2765, decode.acc_seg: 88.9647, loss: 0.2765 2023-11-02 08:52:23,023 - mmseg - INFO - Iter [18750/80000] lr: 2.481e-06, eta: 22:38:49, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2832, decode.acc_seg: 88.7059, loss: 0.2832 2023-11-02 08:53:23,805 - mmseg - INFO - Iter [18800/80000] lr: 2.478e-06, eta: 22:37:24, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3031, decode.acc_seg: 87.8976, loss: 0.3031 2023-11-02 08:54:24,541 - mmseg - INFO - Iter [18850/80000] lr: 2.476e-06, eta: 22:35:58, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3005, decode.acc_seg: 88.2753, loss: 0.3005 2023-11-02 08:55:25,304 - mmseg - INFO - Iter [18900/80000] lr: 2.474e-06, eta: 22:34:33, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2758, decode.acc_seg: 88.7101, loss: 0.2758 2023-11-02 08:56:28,401 - mmseg - INFO - Iter [18950/80000] lr: 2.472e-06, eta: 22:33:16, time: 1.262, data_time: 0.051, memory: 38534, decode.loss_ce: 0.2570, decode.acc_seg: 89.0431, loss: 0.2570 2023-11-02 08:57:29,196 - mmseg - INFO - Saving checkpoint at 19000 iterations 2023-11-02 08:58:23,470 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 08:58:23,470 - mmseg - INFO - Iter [19000/80000] lr: 2.470e-06, eta: 22:34:45, time: 2.301, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2761, decode.acc_seg: 89.0809, loss: 0.2761 2023-11-02 08:59:21,413 - mmseg - INFO - per class results: 2023-11-02 08:59:21,418 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 79.95 | 88.57 | | building | 83.85 | 91.82 | | sky | 94.33 | 97.18 | | floor | 83.58 | 91.19 | | tree | 75.86 | 89.14 | | ceiling | 85.63 | 92.83 | | road | 85.87 | 92.12 | | bed | 91.57 | 96.96 | | windowpane | 66.67 | 81.68 | | grass | 66.74 | 83.21 | | cabinet | 64.55 | 74.34 | | sidewalk | 66.97 | 79.43 | | person | 82.47 | 89.96 | | earth | 39.38 | 55.45 | | door | 59.06 | 78.62 | | table | 67.23 | 79.47 | | mountain | 61.36 | 71.8 | | plant | 56.31 | 66.73 | | curtain | 78.2 | 88.07 | | chair | 62.79 | 73.6 | | car | 86.08 | 93.44 | | water | 63.96 | 79.46 | | painting | 75.15 | 89.51 | | sofa | 79.06 | 90.38 | | shelf | 47.57 | 68.67 | | house | 52.69 | 82.09 | | sea | 67.35 | 83.53 | | mirror | 77.04 | 88.77 | | rug | 67.39 | 77.07 | | field | 34.35 | 54.39 | | armchair | 59.52 | 77.31 | | seat | 65.63 | 87.56 | | fence | 51.12 | 63.75 | | desk | 55.82 | 80.21 | | rock | 51.56 | 65.46 | | wardrobe | 53.79 | 73.52 | | lamp | 68.29 | 82.85 | | bathtub | 89.59 | 92.43 | | railing | 33.28 | 45.37 | | cushion | 62.79 | 72.2 | | base | 37.14 | 57.11 | | box | 34.35 | 43.06 | | column | 49.42 | 65.55 | | signboard | 40.24 | 53.01 | | chest of drawers | 42.02 | 62.81 | | counter | 41.72 | 55.34 | | sand | 55.58 | 77.39 | | sink | 77.22 | 88.2 | | skyscraper | 49.62 | 60.9 | | fireplace | 67.0 | 89.55 | | refrigerator | 81.95 | 89.88 | | grandstand | 61.49 | 82.65 | | path | 30.87 | 41.86 | | stairs | 17.54 | 19.91 | | runway | 72.45 | 94.18 | | case | 61.73 | 82.97 | | pool table | 93.54 | 97.8 | | pillow | 62.83 | 73.73 | | screen door | 80.62 | 85.59 | | stairway | 34.89 | 73.02 | | river | 12.7 | 21.04 | | bridge | 65.92 | 85.33 | | bookcase | 40.91 | 56.77 | | blind | 39.49 | 42.04 | | coffee table | 63.6 | 85.13 | | toilet | 88.9 | 94.08 | | flower | 42.02 | 64.21 | | book | 49.58 | 69.32 | | hill | 13.1 | 17.46 | | bench | 56.05 | 64.95 | | countertop | 61.93 | 79.91 | | stove | 83.78 | 90.86 | | palm | 46.13 | 82.02 | | kitchen island | 46.42 | 83.63 | | computer | 75.89 | 90.76 | | swivel chair | 52.91 | 79.36 | | boat | 76.8 | 90.09 | | bar | 66.25 | 77.65 | | arcade machine | 87.11 | 91.5 | | hovel | 27.02 | 28.52 | | bus | 91.61 | 96.87 | | towel | 72.77 | 87.52 | | light | 48.25 | 59.1 | | truck | 48.51 | 61.34 | | tower | 28.07 | 45.44 | | chandelier | 68.24 | 85.33 | | awning | 31.66 | 40.35 | | streetlight | 24.5 | 31.58 | | booth | 57.04 | 70.72 | | television receiver | 75.94 | 87.87 | | airplane | 84.62 | 92.25 | | dirt track | 31.26 | 40.56 | | apparel | 48.88 | 65.28 | | pole | 16.9 | 20.67 | | land | 0.75 | 1.34 | | bannister | 18.34 | 24.54 | | escalator | 46.85 | 64.24 | | ottoman | 50.98 | 70.49 | | bottle | 40.35 | 63.72 | | buffet | 48.26 | 53.81 | | poster | 35.04 | 43.1 | | stage | 20.03 | 52.26 | | van | 43.61 | 54.39 | | ship | 71.04 | 76.15 | | fountain | 50.71 | 52.0 | | conveyer belt | 70.09 | 95.98 | | canopy | 45.98 | 63.9 | | washer | 84.07 | 88.9 | | plaything | 30.39 | 48.57 | | swimming pool | 62.55 | 77.49 | | stool | 48.16 | 60.88 | | barrel | 44.33 | 76.86 | | basket | 43.75 | 63.44 | | waterfall | 46.14 | 57.57 | | tent | 95.43 | 97.97 | | bag | 20.21 | 23.02 | | minibike | 73.97 | 83.23 | | cradle | 79.57 | 97.05 | | oven | 61.1 | 77.99 | | ball | 11.02 | 11.11 | | food | 62.66 | 68.67 | | step | 6.37 | 7.29 | | tank | 60.71 | 63.91 | | trade name | 18.61 | 20.1 | | microwave | 89.15 | 93.64 | | pot | 53.51 | 60.06 | | animal | 74.82 | 76.86 | | bicycle | 59.4 | 85.95 | | lake | 60.02 | 63.38 | | dishwasher | 74.69 | 81.27 | | screen | 63.05 | 91.05 | | blanket | 22.09 | 25.66 | | sculpture | 64.07 | 86.22 | | hood | 60.2 | 76.85 | | sconce | 53.87 | 73.79 | | vase | 43.64 | 60.17 | | traffic light | 33.2 | 57.6 | | tray | 14.93 | 18.03 | | ashcan | 51.87 | 63.29 | | fan | 63.41 | 78.82 | | pier | 36.22 | 39.81 | | crt screen | 10.3 | 28.53 | | plate | 57.99 | 72.89 | | monitor | 12.28 | 13.81 | | bulletin board | 56.3 | 74.46 | | shower | 8.05 | 9.16 | | radiator | 62.54 | 80.77 | | glass | 18.19 | 19.72 | | clock | 44.46 | 54.78 | | flag | 64.34 | 71.84 | +---------------------+-------+-------+ 2023-11-02 08:59:21,418 - mmseg - INFO - Summary: 2023-11-02 08:59:21,418 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 85.14 | 55.03 | 67.88 | +-------+-------+-------+ 2023-11-02 08:59:21,419 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 08:59:21,419 - mmseg - INFO - Iter(val) [250] aAcc: 0.8514, mIoU: 0.5503, mAcc: 0.6788, IoU.wall: 0.7995, IoU.building: 0.8385, IoU.sky: 0.9433, IoU.floor: 0.8358, IoU.tree: 0.7586, IoU.ceiling: 0.8563, IoU.road: 0.8587, IoU.bed : 0.9157, IoU.windowpane: 0.6667, IoU.grass: 0.6674, IoU.cabinet: 0.6455, IoU.sidewalk: 0.6697, IoU.person: 0.8247, IoU.earth: 0.3938, IoU.door: 0.5906, IoU.table: 0.6723, IoU.mountain: 0.6136, IoU.plant: 0.5631, IoU.curtain: 0.7820, IoU.chair: 0.6279, IoU.car: 0.8608, IoU.water: 0.6396, IoU.painting: 0.7515, IoU.sofa: 0.7906, IoU.shelf: 0.4757, IoU.house: 0.5269, IoU.sea: 0.6735, IoU.mirror: 0.7704, IoU.rug: 0.6739, IoU.field: 0.3435, IoU.armchair: 0.5952, IoU.seat: 0.6563, IoU.fence: 0.5112, IoU.desk: 0.5582, IoU.rock: 0.5156, IoU.wardrobe: 0.5379, IoU.lamp: 0.6829, IoU.bathtub: 0.8959, IoU.railing: 0.3328, IoU.cushion: 0.6279, IoU.base: 0.3714, IoU.box: 0.3435, IoU.column: 0.4942, IoU.signboard: 0.4024, IoU.chest of drawers: 0.4202, IoU.counter: 0.4172, IoU.sand: 0.5558, IoU.sink: 0.7722, IoU.skyscraper: 0.4962, IoU.fireplace: 0.6700, IoU.refrigerator: 0.8195, IoU.grandstand: 0.6149, IoU.path: 0.3087, IoU.stairs: 0.1754, IoU.runway: 0.7245, IoU.case: 0.6173, IoU.pool table: 0.9354, IoU.pillow: 0.6283, IoU.screen door: 0.8062, IoU.stairway: 0.3489, IoU.river: 0.1270, IoU.bridge: 0.6592, IoU.bookcase: 0.4091, IoU.blind: 0.3949, IoU.coffee table: 0.6360, IoU.toilet: 0.8890, IoU.flower: 0.4202, IoU.book: 0.4958, IoU.hill: 0.1310, IoU.bench: 0.5605, IoU.countertop: 0.6193, IoU.stove: 0.8378, IoU.palm: 0.4613, IoU.kitchen island: 0.4642, IoU.computer: 0.7589, IoU.swivel chair: 0.5291, IoU.boat: 0.7680, IoU.bar: 0.6625, IoU.arcade machine: 0.8711, IoU.hovel: 0.2702, IoU.bus: 0.9161, IoU.towel: 0.7277, IoU.light: 0.4825, IoU.truck: 0.4851, IoU.tower: 0.2807, IoU.chandelier: 0.6824, IoU.awning: 0.3166, IoU.streetlight: 0.2450, IoU.booth: 0.5704, IoU.television receiver: 0.7594, IoU.airplane: 0.8462, IoU.dirt track: 0.3126, IoU.apparel: 0.4888, IoU.pole: 0.1690, IoU.land: 0.0075, IoU.bannister: 0.1834, IoU.escalator: 0.4685, IoU.ottoman: 0.5098, IoU.bottle: 0.4035, IoU.buffet: 0.4826, IoU.poster: 0.3504, IoU.stage: 0.2003, IoU.van: 0.4361, IoU.ship: 0.7104, IoU.fountain: 0.5071, IoU.conveyer belt: 0.7009, IoU.canopy: 0.4598, IoU.washer: 0.8407, IoU.plaything: 0.3039, IoU.swimming pool: 0.6255, IoU.stool: 0.4816, IoU.barrel: 0.4433, IoU.basket: 0.4375, IoU.waterfall: 0.4614, IoU.tent: 0.9543, IoU.bag: 0.2021, IoU.minibike: 0.7397, IoU.cradle: 0.7957, IoU.oven: 0.6110, IoU.ball: 0.1102, IoU.food: 0.6266, IoU.step: 0.0637, IoU.tank: 0.6071, IoU.trade name: 0.1861, IoU.microwave: 0.8915, IoU.pot: 0.5351, IoU.animal: 0.7482, IoU.bicycle: 0.5940, IoU.lake: 0.6002, IoU.dishwasher: 0.7469, IoU.screen: 0.6305, IoU.blanket: 0.2209, IoU.sculpture: 0.6407, IoU.hood: 0.6020, IoU.sconce: 0.5387, IoU.vase: 0.4364, IoU.traffic light: 0.3320, IoU.tray: 0.1493, IoU.ashcan: 0.5187, IoU.fan: 0.6341, IoU.pier: 0.3622, IoU.crt screen: 0.1030, IoU.plate: 0.5799, IoU.monitor: 0.1228, IoU.bulletin board: 0.5630, IoU.shower: 0.0805, IoU.radiator: 0.6254, IoU.glass: 0.1819, IoU.clock: 0.4446, IoU.flag: 0.6434, Acc.wall: 0.8857, Acc.building: 0.9182, Acc.sky: 0.9718, Acc.floor: 0.9119, Acc.tree: 0.8914, Acc.ceiling: 0.9283, Acc.road: 0.9212, Acc.bed : 0.9696, Acc.windowpane: 0.8168, Acc.grass: 0.8321, Acc.cabinet: 0.7434, Acc.sidewalk: 0.7943, Acc.person: 0.8996, Acc.earth: 0.5545, Acc.door: 0.7862, Acc.table: 0.7947, Acc.mountain: 0.7180, Acc.plant: 0.6673, Acc.curtain: 0.8807, Acc.chair: 0.7360, Acc.car: 0.9344, Acc.water: 0.7946, Acc.painting: 0.8951, Acc.sofa: 0.9038, Acc.shelf: 0.6867, Acc.house: 0.8209, Acc.sea: 0.8353, Acc.mirror: 0.8877, Acc.rug: 0.7707, Acc.field: 0.5439, Acc.armchair: 0.7731, Acc.seat: 0.8756, Acc.fence: 0.6375, Acc.desk: 0.8021, Acc.rock: 0.6546, Acc.wardrobe: 0.7352, Acc.lamp: 0.8285, Acc.bathtub: 0.9243, Acc.railing: 0.4537, Acc.cushion: 0.7220, Acc.base: 0.5711, Acc.box: 0.4306, Acc.column: 0.6555, Acc.signboard: 0.5301, Acc.chest of drawers: 0.6281, Acc.counter: 0.5534, Acc.sand: 0.7739, Acc.sink: 0.8820, Acc.skyscraper: 0.6090, Acc.fireplace: 0.8955, Acc.refrigerator: 0.8988, Acc.grandstand: 0.8265, Acc.path: 0.4186, Acc.stairs: 0.1991, Acc.runway: 0.9418, Acc.case: 0.8297, Acc.pool table: 0.9780, Acc.pillow: 0.7373, Acc.screen door: 0.8559, Acc.stairway: 0.7302, Acc.river: 0.2104, Acc.bridge: 0.8533, Acc.bookcase: 0.5677, Acc.blind: 0.4204, Acc.coffee table: 0.8513, Acc.toilet: 0.9408, Acc.flower: 0.6421, Acc.book: 0.6932, Acc.hill: 0.1746, Acc.bench: 0.6495, Acc.countertop: 0.7991, Acc.stove: 0.9086, Acc.palm: 0.8202, Acc.kitchen island: 0.8363, Acc.computer: 0.9076, Acc.swivel chair: 0.7936, Acc.boat: 0.9009, Acc.bar: 0.7765, Acc.arcade machine: 0.9150, Acc.hovel: 0.2852, Acc.bus: 0.9687, Acc.towel: 0.8752, Acc.light: 0.5910, Acc.truck: 0.6134, Acc.tower: 0.4544, Acc.chandelier: 0.8533, Acc.awning: 0.4035, Acc.streetlight: 0.3158, Acc.booth: 0.7072, Acc.television receiver: 0.8787, Acc.airplane: 0.9225, Acc.dirt track: 0.4056, Acc.apparel: 0.6528, Acc.pole: 0.2067, Acc.land: 0.0134, Acc.bannister: 0.2454, Acc.escalator: 0.6424, Acc.ottoman: 0.7049, Acc.bottle: 0.6372, Acc.buffet: 0.5381, Acc.poster: 0.4310, Acc.stage: 0.5226, Acc.van: 0.5439, Acc.ship: 0.7615, Acc.fountain: 0.5200, Acc.conveyer belt: 0.9598, Acc.canopy: 0.6390, Acc.washer: 0.8890, Acc.plaything: 0.4857, Acc.swimming pool: 0.7749, Acc.stool: 0.6088, Acc.barrel: 0.7686, Acc.basket: 0.6344, Acc.waterfall: 0.5757, Acc.tent: 0.9797, Acc.bag: 0.2302, Acc.minibike: 0.8323, Acc.cradle: 0.9705, Acc.oven: 0.7799, Acc.ball: 0.1111, Acc.food: 0.6867, Acc.step: 0.0729, Acc.tank: 0.6391, Acc.trade name: 0.2010, Acc.microwave: 0.9364, Acc.pot: 0.6006, Acc.animal: 0.7686, Acc.bicycle: 0.8595, Acc.lake: 0.6338, Acc.dishwasher: 0.8127, Acc.screen: 0.9105, Acc.blanket: 0.2566, Acc.sculpture: 0.8622, Acc.hood: 0.7685, Acc.sconce: 0.7379, Acc.vase: 0.6017, Acc.traffic light: 0.5760, Acc.tray: 0.1803, Acc.ashcan: 0.6329, Acc.fan: 0.7882, Acc.pier: 0.3981, Acc.crt screen: 0.2853, Acc.plate: 0.7289, Acc.monitor: 0.1381, Acc.bulletin board: 0.7446, Acc.shower: 0.0916, Acc.radiator: 0.8077, Acc.glass: 0.1972, Acc.clock: 0.5478, Acc.flag: 0.7184 2023-11-02 09:00:22,262 - mmseg - INFO - Iter [19050/80000] lr: 2.468e-06, eta: 22:36:25, time: 2.376, data_time: 1.166, memory: 38534, decode.loss_ce: 0.2743, decode.acc_seg: 88.9505, loss: 0.2743 2023-11-02 09:01:23,010 - mmseg - INFO - Iter [19100/80000] lr: 2.466e-06, eta: 22:34:59, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2868, decode.acc_seg: 88.4804, loss: 0.2868 2023-11-02 09:02:23,750 - mmseg - INFO - Iter [19150/80000] lr: 2.464e-06, eta: 22:33:33, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2873, decode.acc_seg: 88.1671, loss: 0.2873 2023-11-02 09:03:24,479 - mmseg - INFO - Iter [19200/80000] lr: 2.462e-06, eta: 22:32:08, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2971, decode.acc_seg: 88.3770, loss: 0.2971 2023-11-02 09:04:25,209 - mmseg - INFO - Iter [19250/80000] lr: 2.460e-06, eta: 22:30:42, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2661, decode.acc_seg: 89.1774, loss: 0.2661 2023-11-02 09:05:25,973 - mmseg - INFO - Iter [19300/80000] lr: 2.458e-06, eta: 22:29:17, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2656, decode.acc_seg: 89.3680, loss: 0.2656 2023-11-02 09:06:26,689 - mmseg - INFO - Iter [19350/80000] lr: 2.456e-06, eta: 22:27:51, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2961, decode.acc_seg: 88.0428, loss: 0.2961 2023-11-02 09:07:27,433 - mmseg - INFO - Iter [19400/80000] lr: 2.454e-06, eta: 22:26:26, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2949, decode.acc_seg: 88.7105, loss: 0.2949 2023-11-02 09:08:28,161 - mmseg - INFO - Iter [19450/80000] lr: 2.452e-06, eta: 22:25:01, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2962, decode.acc_seg: 88.4974, loss: 0.2962 2023-11-02 09:09:28,907 - mmseg - INFO - Iter [19500/80000] lr: 2.450e-06, eta: 22:23:36, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2769, decode.acc_seg: 88.9540, loss: 0.2769 2023-11-02 09:10:29,666 - mmseg - INFO - Iter [19550/80000] lr: 2.448e-06, eta: 22:22:11, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2693, decode.acc_seg: 88.6300, loss: 0.2693 2023-11-02 09:11:30,472 - mmseg - INFO - Iter [19600/80000] lr: 2.446e-06, eta: 22:20:47, time: 1.216, data_time: 0.010, memory: 38534, decode.loss_ce: 0.2897, decode.acc_seg: 88.5610, loss: 0.2897 2023-11-02 09:12:31,232 - mmseg - INFO - Iter [19650/80000] lr: 2.444e-06, eta: 22:19:22, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2839, decode.acc_seg: 88.8410, loss: 0.2839 2023-11-02 09:13:31,989 - mmseg - INFO - Iter [19700/80000] lr: 2.442e-06, eta: 22:17:58, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2918, decode.acc_seg: 88.4438, loss: 0.2918 2023-11-02 09:14:32,707 - mmseg - INFO - Iter [19750/80000] lr: 2.440e-06, eta: 22:16:33, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2707, decode.acc_seg: 89.3804, loss: 0.2707 2023-11-02 09:15:33,453 - mmseg - INFO - Iter [19800/80000] lr: 2.438e-06, eta: 22:15:09, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2861, decode.acc_seg: 88.1605, loss: 0.2861 2023-11-02 09:16:34,209 - mmseg - INFO - Iter [19850/80000] lr: 2.436e-06, eta: 22:13:45, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2783, decode.acc_seg: 88.8368, loss: 0.2783 2023-11-02 09:17:34,961 - mmseg - INFO - Iter [19900/80000] lr: 2.434e-06, eta: 22:12:21, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.3088, decode.acc_seg: 87.8849, loss: 0.3088 2023-11-02 09:18:35,663 - mmseg - INFO - Iter [19950/80000] lr: 2.432e-06, eta: 22:10:57, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2857, decode.acc_seg: 88.7079, loss: 0.2857 2023-11-02 09:19:36,444 - mmseg - INFO - Saving checkpoint at 20000 iterations 2023-11-02 09:20:30,505 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 09:20:30,505 - mmseg - INFO - Iter [20000/80000] lr: 2.430e-06, eta: 22:12:16, time: 2.297, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2687, decode.acc_seg: 89.2202, loss: 0.2687 2023-11-02 09:21:27,925 - mmseg - INFO - per class results: 2023-11-02 09:21:27,930 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 80.39 | 88.37 | | building | 83.68 | 93.29 | | sky | 93.24 | 98.41 | | floor | 83.59 | 91.05 | | tree | 73.05 | 81.0 | | ceiling | 86.45 | 93.49 | | road | 85.54 | 91.16 | | bed | 91.55 | 96.86 | | windowpane | 66.9 | 80.7 | | grass | 66.9 | 80.16 | | cabinet | 64.58 | 78.48 | | sidewalk | 68.65 | 84.24 | | person | 82.8 | 92.6 | | earth | 38.22 | 50.65 | | door | 59.67 | 72.82 | | table | 66.65 | 78.81 | | mountain | 59.69 | 77.19 | | plant | 55.15 | 70.1 | | curtain | 77.92 | 88.58 | | chair | 63.0 | 74.64 | | car | 85.9 | 94.35 | | water | 65.47 | 80.42 | | painting | 76.41 | 89.95 | | sofa | 80.22 | 92.22 | | shelf | 45.13 | 70.49 | | house | 54.58 | 67.19 | | sea | 74.96 | 91.09 | | mirror | 76.84 | 86.85 | | rug | 67.36 | 78.13 | | field | 37.99 | 69.34 | | armchair | 58.99 | 72.27 | | seat | 61.11 | 88.14 | | fence | 51.45 | 64.47 | | desk | 57.79 | 81.47 | | rock | 52.13 | 80.69 | | wardrobe | 57.52 | 74.08 | | lamp | 68.72 | 81.84 | | bathtub | 87.89 | 90.37 | | railing | 42.21 | 58.05 | | cushion | 63.59 | 76.29 | | base | 35.85 | 43.65 | | box | 37.55 | 46.71 | | column | 49.69 | 63.94 | | signboard | 40.71 | 55.05 | | chest of drawers | 42.68 | 70.97 | | counter | 40.89 | 53.03 | | sand | 55.26 | 76.56 | | sink | 78.8 | 84.7 | | skyscraper | 49.62 | 66.65 | | fireplace | 73.13 | 90.55 | | refrigerator | 80.34 | 85.64 | | grandstand | 51.86 | 85.99 | | path | 21.21 | 26.97 | | stairs | 26.69 | 32.3 | | runway | 73.82 | 95.54 | | case | 53.01 | 61.28 | | pool table | 93.68 | 97.97 | | pillow | 63.41 | 73.44 | | screen door | 79.18 | 87.57 | | stairway | 43.37 | 66.59 | | river | 10.09 | 13.45 | | bridge | 75.14 | 82.59 | | bookcase | 40.08 | 71.24 | | blind | 41.72 | 51.62 | | coffee table | 60.34 | 89.45 | | toilet | 89.19 | 93.0 | | flower | 39.25 | 59.64 | | book | 44.14 | 61.22 | | hill | 8.12 | 10.67 | | bench | 56.08 | 63.8 | | countertop | 64.22 | 76.02 | | stove | 83.86 | 88.92 | | palm | 46.53 | 82.09 | | kitchen island | 47.89 | 73.75 | | computer | 75.98 | 90.65 | | swivel chair | 52.69 | 84.14 | | boat | 70.45 | 89.51 | | bar | 64.49 | 73.83 | | arcade machine | 79.99 | 83.44 | | hovel | 61.3 | 73.23 | | bus | 92.28 | 95.92 | | towel | 74.63 | 83.8 | | light | 50.59 | 60.7 | | truck | 47.77 | 56.58 | | tower | 33.22 | 66.1 | | chandelier | 68.9 | 86.81 | | awning | 29.65 | 33.02 | | streetlight | 23.88 | 31.53 | | booth | 55.75 | 76.56 | | television receiver | 71.99 | 85.47 | | airplane | 81.69 | 93.34 | | dirt track | 1.97 | 2.31 | | apparel | 49.61 | 75.28 | | pole | 19.15 | 26.45 | | land | 1.02 | 1.32 | | bannister | 18.16 | 24.57 | | escalator | 45.41 | 55.46 | | ottoman | 52.7 | 75.11 | | bottle | 28.96 | 35.12 | | buffet | 49.98 | 61.4 | | poster | 32.05 | 43.76 | | stage | 16.11 | 22.93 | | van | 49.2 | 65.4 | | ship | 79.11 | 82.85 | | fountain | 42.96 | 43.22 | | conveyer belt | 80.22 | 93.34 | | canopy | 53.04 | 62.73 | | washer | 85.68 | 91.31 | | plaything | 30.95 | 38.79 | | swimming pool | 60.37 | 79.96 | | stool | 51.67 | 60.7 | | barrel | 46.13 | 67.05 | | basket | 43.56 | 55.3 | | waterfall | 54.62 | 76.14 | | tent | 95.46 | 98.48 | | bag | 22.14 | 26.5 | | minibike | 69.14 | 90.24 | | cradle | 86.14 | 96.84 | | oven | 62.11 | 75.91 | | ball | 59.93 | 72.95 | | food | 65.36 | 82.75 | | step | 5.34 | 5.84 | | tank | 61.36 | 64.79 | | trade name | 19.45 | 21.2 | | microwave | 89.44 | 93.45 | | pot | 55.76 | 62.74 | | animal | 74.47 | 78.39 | | bicycle | 61.22 | 85.07 | | lake | 48.66 | 59.54 | | dishwasher | 75.83 | 79.07 | | screen | 60.44 | 93.22 | | blanket | 26.36 | 30.3 | | sculpture | 66.38 | 78.44 | | hood | 56.61 | 63.8 | | sconce | 53.49 | 69.98 | | vase | 43.65 | 59.82 | | traffic light | 34.06 | 53.32 | | tray | 13.42 | 14.38 | | ashcan | 51.66 | 66.62 | | fan | 63.82 | 77.04 | | pier | 38.23 | 44.14 | | crt screen | 1.5 | 2.12 | | plate | 56.86 | 81.34 | | monitor | 48.14 | 55.58 | | bulletin board | 57.8 | 63.06 | | shower | 5.04 | 5.97 | | radiator | 63.91 | 71.75 | | glass | 19.36 | 21.09 | | clock | 47.95 | 53.68 | | flag | 63.2 | 68.39 | +---------------------+-------+-------+ 2023-11-02 09:21:27,930 - mmseg - INFO - Summary: 2023-11-02 09:21:27,930 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 85.22 | 55.75 | 68.04 | +-------+-------+-------+ 2023-11-02 09:21:27,931 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 09:21:27,931 - mmseg - INFO - Iter(val) [250] aAcc: 0.8522, mIoU: 0.5575, mAcc: 0.6804, IoU.wall: 0.8039, IoU.building: 0.8368, IoU.sky: 0.9324, IoU.floor: 0.8359, IoU.tree: 0.7305, IoU.ceiling: 0.8645, IoU.road: 0.8554, IoU.bed : 0.9155, IoU.windowpane: 0.6690, IoU.grass: 0.6690, IoU.cabinet: 0.6458, IoU.sidewalk: 0.6865, IoU.person: 0.8280, IoU.earth: 0.3822, IoU.door: 0.5967, IoU.table: 0.6665, IoU.mountain: 0.5969, IoU.plant: 0.5515, IoU.curtain: 0.7792, IoU.chair: 0.6300, IoU.car: 0.8590, IoU.water: 0.6547, IoU.painting: 0.7641, IoU.sofa: 0.8022, IoU.shelf: 0.4513, IoU.house: 0.5458, IoU.sea: 0.7496, IoU.mirror: 0.7684, IoU.rug: 0.6736, IoU.field: 0.3799, IoU.armchair: 0.5899, IoU.seat: 0.6111, IoU.fence: 0.5145, IoU.desk: 0.5779, IoU.rock: 0.5213, IoU.wardrobe: 0.5752, IoU.lamp: 0.6872, IoU.bathtub: 0.8789, IoU.railing: 0.4221, IoU.cushion: 0.6359, IoU.base: 0.3585, IoU.box: 0.3755, IoU.column: 0.4969, IoU.signboard: 0.4071, IoU.chest of drawers: 0.4268, IoU.counter: 0.4089, IoU.sand: 0.5526, IoU.sink: 0.7880, IoU.skyscraper: 0.4962, IoU.fireplace: 0.7313, IoU.refrigerator: 0.8034, IoU.grandstand: 0.5186, IoU.path: 0.2121, IoU.stairs: 0.2669, IoU.runway: 0.7382, IoU.case: 0.5301, IoU.pool table: 0.9368, IoU.pillow: 0.6341, IoU.screen door: 0.7918, IoU.stairway: 0.4337, IoU.river: 0.1009, IoU.bridge: 0.7514, IoU.bookcase: 0.4008, IoU.blind: 0.4172, IoU.coffee table: 0.6034, IoU.toilet: 0.8919, IoU.flower: 0.3925, IoU.book: 0.4414, IoU.hill: 0.0812, IoU.bench: 0.5608, IoU.countertop: 0.6422, IoU.stove: 0.8386, IoU.palm: 0.4653, IoU.kitchen island: 0.4789, IoU.computer: 0.7598, IoU.swivel chair: 0.5269, IoU.boat: 0.7045, IoU.bar: 0.6449, IoU.arcade machine: 0.7999, IoU.hovel: 0.6130, IoU.bus: 0.9228, IoU.towel: 0.7463, IoU.light: 0.5059, IoU.truck: 0.4777, IoU.tower: 0.3322, IoU.chandelier: 0.6890, IoU.awning: 0.2965, IoU.streetlight: 0.2388, IoU.booth: 0.5575, IoU.television receiver: 0.7199, IoU.airplane: 0.8169, IoU.dirt track: 0.0197, IoU.apparel: 0.4961, IoU.pole: 0.1915, IoU.land: 0.0102, IoU.bannister: 0.1816, IoU.escalator: 0.4541, IoU.ottoman: 0.5270, IoU.bottle: 0.2896, IoU.buffet: 0.4998, IoU.poster: 0.3205, IoU.stage: 0.1611, IoU.van: 0.4920, IoU.ship: 0.7911, IoU.fountain: 0.4296, IoU.conveyer belt: 0.8022, IoU.canopy: 0.5304, IoU.washer: 0.8568, IoU.plaything: 0.3095, IoU.swimming pool: 0.6037, IoU.stool: 0.5167, IoU.barrel: 0.4613, IoU.basket: 0.4356, IoU.waterfall: 0.5462, IoU.tent: 0.9546, IoU.bag: 0.2214, IoU.minibike: 0.6914, IoU.cradle: 0.8614, IoU.oven: 0.6211, IoU.ball: 0.5993, IoU.food: 0.6536, IoU.step: 0.0534, IoU.tank: 0.6136, IoU.trade name: 0.1945, IoU.microwave: 0.8944, IoU.pot: 0.5576, IoU.animal: 0.7447, IoU.bicycle: 0.6122, IoU.lake: 0.4866, IoU.dishwasher: 0.7583, IoU.screen: 0.6044, IoU.blanket: 0.2636, IoU.sculpture: 0.6638, IoU.hood: 0.5661, IoU.sconce: 0.5349, IoU.vase: 0.4365, IoU.traffic light: 0.3406, IoU.tray: 0.1342, IoU.ashcan: 0.5166, IoU.fan: 0.6382, IoU.pier: 0.3823, IoU.crt screen: 0.0150, IoU.plate: 0.5686, IoU.monitor: 0.4814, IoU.bulletin board: 0.5780, IoU.shower: 0.0504, IoU.radiator: 0.6391, IoU.glass: 0.1936, IoU.clock: 0.4795, IoU.flag: 0.6320, Acc.wall: 0.8837, Acc.building: 0.9329, Acc.sky: 0.9841, Acc.floor: 0.9105, Acc.tree: 0.8100, Acc.ceiling: 0.9349, Acc.road: 0.9116, Acc.bed : 0.9686, Acc.windowpane: 0.8070, Acc.grass: 0.8016, Acc.cabinet: 0.7848, Acc.sidewalk: 0.8424, Acc.person: 0.9260, Acc.earth: 0.5065, Acc.door: 0.7282, Acc.table: 0.7881, Acc.mountain: 0.7719, Acc.plant: 0.7010, Acc.curtain: 0.8858, Acc.chair: 0.7464, Acc.car: 0.9435, Acc.water: 0.8042, Acc.painting: 0.8995, Acc.sofa: 0.9222, Acc.shelf: 0.7049, Acc.house: 0.6719, Acc.sea: 0.9109, Acc.mirror: 0.8685, Acc.rug: 0.7813, Acc.field: 0.6934, Acc.armchair: 0.7227, Acc.seat: 0.8814, Acc.fence: 0.6447, Acc.desk: 0.8147, Acc.rock: 0.8069, Acc.wardrobe: 0.7408, Acc.lamp: 0.8184, Acc.bathtub: 0.9037, Acc.railing: 0.5805, Acc.cushion: 0.7629, Acc.base: 0.4365, Acc.box: 0.4671, Acc.column: 0.6394, Acc.signboard: 0.5505, Acc.chest of drawers: 0.7097, Acc.counter: 0.5303, Acc.sand: 0.7656, Acc.sink: 0.8470, Acc.skyscraper: 0.6665, Acc.fireplace: 0.9055, Acc.refrigerator: 0.8564, Acc.grandstand: 0.8599, Acc.path: 0.2697, Acc.stairs: 0.3230, Acc.runway: 0.9554, Acc.case: 0.6128, Acc.pool table: 0.9797, Acc.pillow: 0.7344, Acc.screen door: 0.8757, Acc.stairway: 0.6659, Acc.river: 0.1345, Acc.bridge: 0.8259, Acc.bookcase: 0.7124, Acc.blind: 0.5162, Acc.coffee table: 0.8945, Acc.toilet: 0.9300, Acc.flower: 0.5964, Acc.book: 0.6122, Acc.hill: 0.1067, Acc.bench: 0.6380, Acc.countertop: 0.7602, Acc.stove: 0.8892, Acc.palm: 0.8209, Acc.kitchen island: 0.7375, Acc.computer: 0.9065, Acc.swivel chair: 0.8414, Acc.boat: 0.8951, Acc.bar: 0.7383, Acc.arcade machine: 0.8344, Acc.hovel: 0.7323, Acc.bus: 0.9592, Acc.towel: 0.8380, Acc.light: 0.6070, Acc.truck: 0.5658, Acc.tower: 0.6610, Acc.chandelier: 0.8681, Acc.awning: 0.3302, Acc.streetlight: 0.3153, Acc.booth: 0.7656, Acc.television receiver: 0.8547, Acc.airplane: 0.9334, Acc.dirt track: 0.0231, Acc.apparel: 0.7528, Acc.pole: 0.2645, Acc.land: 0.0132, Acc.bannister: 0.2457, Acc.escalator: 0.5546, Acc.ottoman: 0.7511, Acc.bottle: 0.3512, Acc.buffet: 0.6140, Acc.poster: 0.4376, Acc.stage: 0.2293, Acc.van: 0.6540, Acc.ship: 0.8285, Acc.fountain: 0.4322, Acc.conveyer belt: 0.9334, Acc.canopy: 0.6273, Acc.washer: 0.9131, Acc.plaything: 0.3879, Acc.swimming pool: 0.7996, Acc.stool: 0.6070, Acc.barrel: 0.6705, Acc.basket: 0.5530, Acc.waterfall: 0.7614, Acc.tent: 0.9848, Acc.bag: 0.2650, Acc.minibike: 0.9024, Acc.cradle: 0.9684, Acc.oven: 0.7591, Acc.ball: 0.7295, Acc.food: 0.8275, Acc.step: 0.0584, Acc.tank: 0.6479, Acc.trade name: 0.2120, Acc.microwave: 0.9345, Acc.pot: 0.6274, Acc.animal: 0.7839, Acc.bicycle: 0.8507, Acc.lake: 0.5954, Acc.dishwasher: 0.7907, Acc.screen: 0.9322, Acc.blanket: 0.3030, Acc.sculpture: 0.7844, Acc.hood: 0.6380, Acc.sconce: 0.6998, Acc.vase: 0.5982, Acc.traffic light: 0.5332, Acc.tray: 0.1438, Acc.ashcan: 0.6662, Acc.fan: 0.7704, Acc.pier: 0.4414, Acc.crt screen: 0.0212, Acc.plate: 0.8134, Acc.monitor: 0.5558, Acc.bulletin board: 0.6306, Acc.shower: 0.0597, Acc.radiator: 0.7175, Acc.glass: 0.2109, Acc.clock: 0.5368, Acc.flag: 0.6839 2023-11-02 09:22:28,762 - mmseg - INFO - Iter [20050/80000] lr: 2.428e-06, eta: 22:13:44, time: 2.365, data_time: 1.156, memory: 38534, decode.loss_ce: 0.2930, decode.acc_seg: 88.1316, loss: 0.2930 2023-11-02 09:23:29,488 - mmseg - INFO - Iter [20100/80000] lr: 2.426e-06, eta: 22:12:19, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2701, decode.acc_seg: 89.0358, loss: 0.2701 2023-11-02 09:24:30,245 - mmseg - INFO - Iter [20150/80000] lr: 2.424e-06, eta: 22:10:55, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2784, decode.acc_seg: 88.5801, loss: 0.2784 2023-11-02 09:25:30,959 - mmseg - INFO - Iter [20200/80000] lr: 2.422e-06, eta: 22:09:30, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2706, decode.acc_seg: 88.7239, loss: 0.2706 2023-11-02 09:26:34,191 - mmseg - INFO - Iter [20250/80000] lr: 2.420e-06, eta: 22:08:13, time: 1.265, data_time: 0.052, memory: 38534, decode.loss_ce: 0.2763, decode.acc_seg: 89.2482, loss: 0.2763 2023-11-02 09:27:34,955 - mmseg - INFO - Iter [20300/80000] lr: 2.418e-06, eta: 22:06:49, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2658, decode.acc_seg: 89.0023, loss: 0.2658 2023-11-02 09:28:35,710 - mmseg - INFO - Iter [20350/80000] lr: 2.416e-06, eta: 22:05:25, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2643, decode.acc_seg: 89.4775, loss: 0.2643 2023-11-02 09:29:36,454 - mmseg - INFO - Iter [20400/80000] lr: 2.414e-06, eta: 22:04:01, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2910, decode.acc_seg: 88.8948, loss: 0.2910 2023-11-02 09:30:37,206 - mmseg - INFO - Iter [20450/80000] lr: 2.412e-06, eta: 22:02:37, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2726, decode.acc_seg: 88.8680, loss: 0.2726 2023-11-02 09:31:37,970 - mmseg - INFO - Iter [20500/80000] lr: 2.410e-06, eta: 22:01:14, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2967, decode.acc_seg: 88.6162, loss: 0.2967 2023-11-02 09:32:38,745 - mmseg - INFO - Iter [20550/80000] lr: 2.408e-06, eta: 21:59:50, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2789, decode.acc_seg: 88.9861, loss: 0.2789 2023-11-02 09:33:39,515 - mmseg - INFO - Iter [20600/80000] lr: 2.406e-06, eta: 21:58:27, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2803, decode.acc_seg: 88.4091, loss: 0.2803 2023-11-02 09:34:40,262 - mmseg - INFO - Iter [20650/80000] lr: 2.404e-06, eta: 21:57:03, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2785, decode.acc_seg: 88.9354, loss: 0.2785 2023-11-02 09:35:41,026 - mmseg - INFO - Iter [20700/80000] lr: 2.402e-06, eta: 21:55:40, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2560, decode.acc_seg: 89.4789, loss: 0.2560 2023-11-02 09:36:41,774 - mmseg - INFO - Iter [20750/80000] lr: 2.400e-06, eta: 21:54:17, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2797, decode.acc_seg: 88.5268, loss: 0.2797 2023-11-02 09:37:42,547 - mmseg - INFO - Iter [20800/80000] lr: 2.397e-06, eta: 21:52:54, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2499, decode.acc_seg: 89.6849, loss: 0.2499 2023-11-02 09:38:43,298 - mmseg - INFO - Iter [20850/80000] lr: 2.395e-06, eta: 21:51:31, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2848, decode.acc_seg: 88.4280, loss: 0.2848 2023-11-02 09:39:44,027 - mmseg - INFO - Iter [20900/80000] lr: 2.393e-06, eta: 21:50:08, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2616, decode.acc_seg: 89.4469, loss: 0.2616 2023-11-02 09:40:44,782 - mmseg - INFO - Iter [20950/80000] lr: 2.391e-06, eta: 21:48:45, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2801, decode.acc_seg: 88.8010, loss: 0.2801 2023-11-02 09:41:45,597 - mmseg - INFO - Saving checkpoint at 21000 iterations 2023-11-02 09:42:42,075 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 09:42:42,075 - mmseg - INFO - Iter [21000/80000] lr: 2.389e-06, eta: 21:50:02, time: 2.346, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2431, decode.acc_seg: 89.9291, loss: 0.2431 2023-11-02 09:43:40,284 - mmseg - INFO - per class results: 2023-11-02 09:43:40,290 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 80.21 | 88.08 | | building | 84.66 | 94.31 | | sky | 94.36 | 97.54 | | floor | 83.93 | 91.12 | | tree | 76.05 | 88.58 | | ceiling | 85.61 | 94.67 | | road | 85.13 | 88.71 | | bed | 91.91 | 96.51 | | windowpane | 66.25 | 80.83 | | grass | 66.55 | 81.77 | | cabinet | 62.41 | 69.54 | | sidewalk | 68.17 | 87.51 | | person | 82.82 | 92.15 | | earth | 37.84 | 49.56 | | door | 61.7 | 79.84 | | table | 67.7 | 82.42 | | mountain | 60.47 | 70.8 | | plant | 56.61 | 70.68 | | curtain | 76.92 | 85.7 | | chair | 61.43 | 71.32 | | car | 85.83 | 93.21 | | water | 59.48 | 74.56 | | painting | 75.6 | 91.29 | | sofa | 79.91 | 88.79 | | shelf | 46.66 | 64.72 | | house | 55.27 | 63.02 | | sea | 69.15 | 90.26 | | mirror | 76.02 | 85.81 | | rug | 66.88 | 79.42 | | field | 32.33 | 59.47 | | armchair | 58.79 | 79.1 | | seat | 63.79 | 88.15 | | fence | 49.54 | 64.58 | | desk | 55.25 | 79.26 | | rock | 55.56 | 77.1 | | wardrobe | 52.09 | 72.96 | | lamp | 67.48 | 78.22 | | bathtub | 85.73 | 90.57 | | railing | 42.48 | 66.77 | | cushion | 65.6 | 78.89 | | base | 36.0 | 60.65 | | box | 36.53 | 47.53 | | column | 50.31 | 61.47 | | signboard | 38.81 | 51.26 | | chest of drawers | 47.36 | 77.5 | | counter | 41.96 | 57.05 | | sand | 58.76 | 87.28 | | sink | 79.1 | 89.31 | | skyscraper | 50.49 | 63.82 | | fireplace | 69.78 | 89.73 | | refrigerator | 80.31 | 87.54 | | grandstand | 50.03 | 82.75 | | path | 28.62 | 44.29 | | stairs | 26.5 | 31.56 | | runway | 74.05 | 97.99 | | case | 45.66 | 53.36 | | pool table | 93.8 | 97.15 | | pillow | 65.85 | 76.02 | | screen door | 79.72 | 85.3 | | stairway | 43.01 | 60.19 | | river | 13.47 | 24.68 | | bridge | 73.2 | 84.56 | | bookcase | 43.19 | 57.66 | | blind | 41.55 | 49.37 | | coffee table | 67.45 | 83.59 | | toilet | 88.6 | 92.15 | | flower | 39.93 | 53.67 | | book | 46.32 | 63.54 | | hill | 14.88 | 19.99 | | bench | 56.77 | 62.96 | | countertop | 60.37 | 80.03 | | stove | 84.84 | 91.2 | | palm | 51.18 | 75.37 | | kitchen island | 48.34 | 77.74 | | computer | 76.96 | 89.68 | | swivel chair | 43.77 | 56.48 | | boat | 71.05 | 89.38 | | bar | 61.73 | 75.67 | | arcade machine | 80.05 | 83.3 | | hovel | 55.63 | 63.8 | | bus | 90.65 | 97.15 | | towel | 73.8 | 86.0 | | light | 47.14 | 53.51 | | truck | 49.5 | 60.55 | | tower | 23.2 | 36.26 | | chandelier | 67.1 | 79.98 | | awning | 44.43 | 56.19 | | streetlight | 25.26 | 32.94 | | booth | 54.76 | 73.7 | | television receiver | 71.94 | 87.71 | | airplane | 80.88 | 88.24 | | dirt track | 7.61 | 31.34 | | apparel | 56.1 | 79.23 | | pole | 19.39 | 28.68 | | land | 2.61 | 3.74 | | bannister | 12.32 | 14.12 | | escalator | 59.3 | 83.8 | | ottoman | 51.58 | 69.73 | | bottle | 38.65 | 57.2 | | buffet | 51.39 | 63.65 | | poster | 34.08 | 43.49 | | stage | 15.94 | 21.91 | | van | 48.23 | 72.15 | | ship | 62.31 | 63.2 | | fountain | 38.94 | 39.16 | | conveyer belt | 81.4 | 95.0 | | canopy | 48.19 | 73.27 | | washer | 86.27 | 92.27 | | plaything | 32.2 | 41.77 | | swimming pool | 56.58 | 83.05 | | stool | 50.23 | 62.8 | | barrel | 41.26 | 65.0 | | basket | 44.75 | 60.4 | | waterfall | 49.05 | 52.62 | | tent | 95.18 | 96.77 | | bag | 17.51 | 19.4 | | minibike | 73.02 | 83.19 | | cradle | 85.85 | 97.8 | | oven | 61.65 | 74.64 | | ball | 59.05 | 68.57 | | food | 62.0 | 67.31 | | step | 16.99 | 21.26 | | tank | 59.45 | 64.31 | | trade name | 28.02 | 32.45 | | microwave | 89.09 | 94.42 | | pot | 55.36 | 63.19 | | animal | 71.58 | 73.35 | | bicycle | 60.15 | 77.17 | | lake | 53.36 | 63.76 | | dishwasher | 73.53 | 78.92 | | screen | 60.16 | 89.35 | | blanket | 29.26 | 34.72 | | sculpture | 75.16 | 84.81 | | hood | 55.89 | 65.61 | | sconce | 52.97 | 67.12 | | vase | 44.23 | 57.21 | | traffic light | 33.58 | 47.61 | | tray | 19.8 | 27.01 | | ashcan | 50.58 | 63.07 | | fan | 63.16 | 74.76 | | pier | 34.82 | 45.66 | | crt screen | 3.33 | 7.89 | | plate | 57.59 | 70.27 | | monitor | 13.49 | 16.25 | | bulletin board | 59.12 | 79.0 | | shower | 6.34 | 13.52 | | radiator | 62.99 | 74.79 | | glass | 18.76 | 19.87 | | clock | 48.83 | 60.71 | | flag | 62.89 | 68.33 | +---------------------+-------+-------+ 2023-11-02 09:43:40,290 - mmseg - INFO - Summary: 2023-11-02 09:43:40,290 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 85.25 | 55.61 | 67.99 | +-------+-------+-------+ 2023-11-02 09:43:40,291 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 09:43:40,291 - mmseg - INFO - Iter(val) [250] aAcc: 0.8525, mIoU: 0.5561, mAcc: 0.6799, IoU.wall: 0.8021, IoU.building: 0.8466, IoU.sky: 0.9436, IoU.floor: 0.8393, IoU.tree: 0.7605, IoU.ceiling: 0.8561, IoU.road: 0.8513, IoU.bed : 0.9191, IoU.windowpane: 0.6625, IoU.grass: 0.6655, IoU.cabinet: 0.6241, IoU.sidewalk: 0.6817, IoU.person: 0.8282, IoU.earth: 0.3784, IoU.door: 0.6170, IoU.table: 0.6770, IoU.mountain: 0.6047, IoU.plant: 0.5661, IoU.curtain: 0.7692, IoU.chair: 0.6143, IoU.car: 0.8583, IoU.water: 0.5948, IoU.painting: 0.7560, IoU.sofa: 0.7991, IoU.shelf: 0.4666, IoU.house: 0.5527, IoU.sea: 0.6915, IoU.mirror: 0.7602, IoU.rug: 0.6688, IoU.field: 0.3233, IoU.armchair: 0.5879, IoU.seat: 0.6379, IoU.fence: 0.4954, IoU.desk: 0.5525, IoU.rock: 0.5556, IoU.wardrobe: 0.5209, IoU.lamp: 0.6748, IoU.bathtub: 0.8573, IoU.railing: 0.4248, IoU.cushion: 0.6560, IoU.base: 0.3600, IoU.box: 0.3653, IoU.column: 0.5031, IoU.signboard: 0.3881, IoU.chest of drawers: 0.4736, IoU.counter: 0.4196, IoU.sand: 0.5876, IoU.sink: 0.7910, IoU.skyscraper: 0.5049, IoU.fireplace: 0.6978, IoU.refrigerator: 0.8031, IoU.grandstand: 0.5003, IoU.path: 0.2862, IoU.stairs: 0.2650, IoU.runway: 0.7405, IoU.case: 0.4566, IoU.pool table: 0.9380, IoU.pillow: 0.6585, IoU.screen door: 0.7972, IoU.stairway: 0.4301, IoU.river: 0.1347, IoU.bridge: 0.7320, IoU.bookcase: 0.4319, IoU.blind: 0.4155, IoU.coffee table: 0.6745, IoU.toilet: 0.8860, IoU.flower: 0.3993, IoU.book: 0.4632, IoU.hill: 0.1488, IoU.bench: 0.5677, IoU.countertop: 0.6037, IoU.stove: 0.8484, IoU.palm: 0.5118, IoU.kitchen island: 0.4834, IoU.computer: 0.7696, IoU.swivel chair: 0.4377, IoU.boat: 0.7105, IoU.bar: 0.6173, IoU.arcade machine: 0.8005, IoU.hovel: 0.5563, IoU.bus: 0.9065, IoU.towel: 0.7380, IoU.light: 0.4714, IoU.truck: 0.4950, IoU.tower: 0.2320, IoU.chandelier: 0.6710, IoU.awning: 0.4443, IoU.streetlight: 0.2526, IoU.booth: 0.5476, IoU.television receiver: 0.7194, IoU.airplane: 0.8088, IoU.dirt track: 0.0761, IoU.apparel: 0.5610, IoU.pole: 0.1939, IoU.land: 0.0261, IoU.bannister: 0.1232, IoU.escalator: 0.5930, IoU.ottoman: 0.5158, IoU.bottle: 0.3865, IoU.buffet: 0.5139, IoU.poster: 0.3408, IoU.stage: 0.1594, IoU.van: 0.4823, IoU.ship: 0.6231, IoU.fountain: 0.3894, IoU.conveyer belt: 0.8140, IoU.canopy: 0.4819, IoU.washer: 0.8627, IoU.plaything: 0.3220, IoU.swimming pool: 0.5658, IoU.stool: 0.5023, IoU.barrel: 0.4126, IoU.basket: 0.4475, IoU.waterfall: 0.4905, IoU.tent: 0.9518, IoU.bag: 0.1751, IoU.minibike: 0.7302, IoU.cradle: 0.8585, IoU.oven: 0.6165, IoU.ball: 0.5905, IoU.food: 0.6200, IoU.step: 0.1699, IoU.tank: 0.5945, IoU.trade name: 0.2802, IoU.microwave: 0.8909, IoU.pot: 0.5536, IoU.animal: 0.7158, IoU.bicycle: 0.6015, IoU.lake: 0.5336, IoU.dishwasher: 0.7353, IoU.screen: 0.6016, IoU.blanket: 0.2926, IoU.sculpture: 0.7516, IoU.hood: 0.5589, IoU.sconce: 0.5297, IoU.vase: 0.4423, IoU.traffic light: 0.3358, IoU.tray: 0.1980, IoU.ashcan: 0.5058, IoU.fan: 0.6316, IoU.pier: 0.3482, IoU.crt screen: 0.0333, IoU.plate: 0.5759, IoU.monitor: 0.1349, IoU.bulletin board: 0.5912, IoU.shower: 0.0634, IoU.radiator: 0.6299, IoU.glass: 0.1876, IoU.clock: 0.4883, IoU.flag: 0.6289, Acc.wall: 0.8808, Acc.building: 0.9431, Acc.sky: 0.9754, Acc.floor: 0.9112, Acc.tree: 0.8858, Acc.ceiling: 0.9467, Acc.road: 0.8871, Acc.bed : 0.9651, Acc.windowpane: 0.8083, Acc.grass: 0.8177, Acc.cabinet: 0.6954, Acc.sidewalk: 0.8751, Acc.person: 0.9215, Acc.earth: 0.4956, Acc.door: 0.7984, Acc.table: 0.8242, Acc.mountain: 0.7080, Acc.plant: 0.7068, Acc.curtain: 0.8570, Acc.chair: 0.7132, Acc.car: 0.9321, Acc.water: 0.7456, Acc.painting: 0.9129, Acc.sofa: 0.8879, Acc.shelf: 0.6472, Acc.house: 0.6302, Acc.sea: 0.9026, Acc.mirror: 0.8581, Acc.rug: 0.7942, Acc.field: 0.5947, Acc.armchair: 0.7910, Acc.seat: 0.8815, Acc.fence: 0.6458, Acc.desk: 0.7926, Acc.rock: 0.7710, Acc.wardrobe: 0.7296, Acc.lamp: 0.7822, Acc.bathtub: 0.9057, Acc.railing: 0.6677, Acc.cushion: 0.7889, Acc.base: 0.6065, Acc.box: 0.4753, Acc.column: 0.6147, Acc.signboard: 0.5126, Acc.chest of drawers: 0.7750, Acc.counter: 0.5705, Acc.sand: 0.8728, Acc.sink: 0.8931, Acc.skyscraper: 0.6382, Acc.fireplace: 0.8973, Acc.refrigerator: 0.8754, Acc.grandstand: 0.8275, Acc.path: 0.4429, Acc.stairs: 0.3156, Acc.runway: 0.9799, Acc.case: 0.5336, Acc.pool table: 0.9715, Acc.pillow: 0.7602, Acc.screen door: 0.8530, Acc.stairway: 0.6019, Acc.river: 0.2468, Acc.bridge: 0.8456, Acc.bookcase: 0.5766, Acc.blind: 0.4937, Acc.coffee table: 0.8359, Acc.toilet: 0.9215, Acc.flower: 0.5367, Acc.book: 0.6354, Acc.hill: 0.1999, Acc.bench: 0.6296, Acc.countertop: 0.8003, Acc.stove: 0.9120, Acc.palm: 0.7537, Acc.kitchen island: 0.7774, Acc.computer: 0.8968, Acc.swivel chair: 0.5648, Acc.boat: 0.8938, Acc.bar: 0.7567, Acc.arcade machine: 0.8330, Acc.hovel: 0.6380, Acc.bus: 0.9715, Acc.towel: 0.8600, Acc.light: 0.5351, Acc.truck: 0.6055, Acc.tower: 0.3626, Acc.chandelier: 0.7998, Acc.awning: 0.5619, Acc.streetlight: 0.3294, Acc.booth: 0.7370, Acc.television receiver: 0.8771, Acc.airplane: 0.8824, Acc.dirt track: 0.3134, Acc.apparel: 0.7923, Acc.pole: 0.2868, Acc.land: 0.0374, Acc.bannister: 0.1412, Acc.escalator: 0.8380, Acc.ottoman: 0.6973, Acc.bottle: 0.5720, Acc.buffet: 0.6365, Acc.poster: 0.4349, Acc.stage: 0.2191, Acc.van: 0.7215, Acc.ship: 0.6320, Acc.fountain: 0.3916, Acc.conveyer belt: 0.9500, Acc.canopy: 0.7327, Acc.washer: 0.9227, Acc.plaything: 0.4177, Acc.swimming pool: 0.8305, Acc.stool: 0.6280, Acc.barrel: 0.6500, Acc.basket: 0.6040, Acc.waterfall: 0.5262, Acc.tent: 0.9677, Acc.bag: 0.1940, Acc.minibike: 0.8319, Acc.cradle: 0.9780, Acc.oven: 0.7464, Acc.ball: 0.6857, Acc.food: 0.6731, Acc.step: 0.2126, Acc.tank: 0.6431, Acc.trade name: 0.3245, Acc.microwave: 0.9442, Acc.pot: 0.6319, Acc.animal: 0.7335, Acc.bicycle: 0.7717, Acc.lake: 0.6376, Acc.dishwasher: 0.7892, Acc.screen: 0.8935, Acc.blanket: 0.3472, Acc.sculpture: 0.8481, Acc.hood: 0.6561, Acc.sconce: 0.6712, Acc.vase: 0.5721, Acc.traffic light: 0.4761, Acc.tray: 0.2701, Acc.ashcan: 0.6307, Acc.fan: 0.7476, Acc.pier: 0.4566, Acc.crt screen: 0.0789, Acc.plate: 0.7027, Acc.monitor: 0.1625, Acc.bulletin board: 0.7900, Acc.shower: 0.1352, Acc.radiator: 0.7479, Acc.glass: 0.1987, Acc.clock: 0.6071, Acc.flag: 0.6833 2023-11-02 09:44:41,132 - mmseg - INFO - Iter [21050/80000] lr: 2.387e-06, eta: 21:51:22, time: 2.381, data_time: 1.172, memory: 38534, decode.loss_ce: 0.2657, decode.acc_seg: 89.2955, loss: 0.2657 2023-11-02 09:45:41,904 - mmseg - INFO - Iter [21100/80000] lr: 2.385e-06, eta: 21:49:58, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2719, decode.acc_seg: 88.8607, loss: 0.2719 2023-11-02 09:46:42,664 - mmseg - INFO - Iter [21150/80000] lr: 2.383e-06, eta: 21:48:35, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2766, decode.acc_seg: 88.7308, loss: 0.2766 2023-11-02 09:47:43,440 - mmseg - INFO - Iter [21200/80000] lr: 2.381e-06, eta: 21:47:12, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2641, decode.acc_seg: 89.5137, loss: 0.2641 2023-11-02 09:48:44,224 - mmseg - INFO - Iter [21250/80000] lr: 2.379e-06, eta: 21:45:49, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2663, decode.acc_seg: 89.3860, loss: 0.2663 2023-11-02 09:49:44,954 - mmseg - INFO - Iter [21300/80000] lr: 2.377e-06, eta: 21:44:26, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2628, decode.acc_seg: 89.5743, loss: 0.2628 2023-11-02 09:50:45,717 - mmseg - INFO - Iter [21350/80000] lr: 2.375e-06, eta: 21:43:03, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2612, decode.acc_seg: 89.6002, loss: 0.2612 2023-11-02 09:51:46,463 - mmseg - INFO - Iter [21400/80000] lr: 2.373e-06, eta: 21:41:40, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2745, decode.acc_seg: 89.0647, loss: 0.2745 2023-11-02 09:52:47,208 - mmseg - INFO - Iter [21450/80000] lr: 2.371e-06, eta: 21:40:17, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2651, decode.acc_seg: 89.1563, loss: 0.2651 2023-11-02 09:53:50,202 - mmseg - INFO - Iter [21500/80000] lr: 2.369e-06, eta: 21:39:01, time: 1.260, data_time: 0.051, memory: 38534, decode.loss_ce: 0.2834, decode.acc_seg: 88.9016, loss: 0.2834 2023-11-02 09:54:51,007 - mmseg - INFO - Iter [21550/80000] lr: 2.367e-06, eta: 21:37:39, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2460, decode.acc_seg: 89.9186, loss: 0.2460 2023-11-02 09:55:51,781 - mmseg - INFO - Iter [21600/80000] lr: 2.365e-06, eta: 21:36:16, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2679, decode.acc_seg: 89.2336, loss: 0.2679 2023-11-02 09:56:52,543 - mmseg - INFO - Iter [21650/80000] lr: 2.363e-06, eta: 21:34:54, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2628, decode.acc_seg: 89.7457, loss: 0.2628 2023-11-02 09:57:53,267 - mmseg - INFO - Iter [21700/80000] lr: 2.361e-06, eta: 21:33:32, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2746, decode.acc_seg: 88.8177, loss: 0.2746 2023-11-02 09:58:54,023 - mmseg - INFO - Iter [21750/80000] lr: 2.359e-06, eta: 21:32:09, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2742, decode.acc_seg: 89.0811, loss: 0.2742 2023-11-02 09:59:54,809 - mmseg - INFO - Iter [21800/80000] lr: 2.357e-06, eta: 21:30:48, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2521, decode.acc_seg: 89.5572, loss: 0.2521 2023-11-02 10:00:55,565 - mmseg - INFO - Iter [21850/80000] lr: 2.355e-06, eta: 21:29:26, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2624, decode.acc_seg: 89.4454, loss: 0.2624 2023-11-02 10:01:56,291 - mmseg - INFO - Iter [21900/80000] lr: 2.353e-06, eta: 21:28:04, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2799, decode.acc_seg: 88.4618, loss: 0.2799 2023-11-02 10:02:57,039 - mmseg - INFO - Iter [21950/80000] lr: 2.351e-06, eta: 21:26:42, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2490, decode.acc_seg: 89.9219, loss: 0.2490 2023-11-02 10:03:57,771 - mmseg - INFO - Saving checkpoint at 22000 iterations 2023-11-02 10:04:49,251 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 10:04:49,251 - mmseg - INFO - Iter [22000/80000] lr: 2.349e-06, eta: 21:27:36, time: 2.244, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2680, decode.acc_seg: 89.1487, loss: 0.2680 2023-11-02 10:05:47,356 - mmseg - INFO - per class results: 2023-11-02 10:05:47,362 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 79.49 | 88.44 | | building | 83.94 | 93.91 | | sky | 94.03 | 97.5 | | floor | 83.24 | 90.69 | | tree | 75.52 | 87.48 | | ceiling | 84.11 | 90.73 | | road | 86.07 | 90.76 | | bed | 91.54 | 97.1 | | windowpane | 66.21 | 80.17 | | grass | 67.5 | 78.68 | | cabinet | 64.28 | 72.6 | | sidewalk | 69.03 | 85.17 | | person | 82.95 | 93.02 | | earth | 36.97 | 52.12 | | door | 62.12 | 76.73 | | table | 66.71 | 81.92 | | mountain | 63.78 | 79.11 | | plant | 54.16 | 64.63 | | curtain | 76.53 | 86.85 | | chair | 61.5 | 75.08 | | car | 85.97 | 93.33 | | water | 64.21 | 80.82 | | painting | 78.57 | 88.27 | | sofa | 79.11 | 87.43 | | shelf | 51.44 | 72.58 | | house | 55.43 | 68.13 | | sea | 75.43 | 89.5 | | mirror | 74.78 | 85.82 | | rug | 63.54 | 72.8 | | field | 33.92 | 47.79 | | armchair | 58.59 | 80.34 | | seat | 63.66 | 86.14 | | fence | 48.75 | 65.81 | | desk | 53.04 | 63.9 | | rock | 58.62 | 72.53 | | wardrobe | 51.24 | 71.63 | | lamp | 67.62 | 79.49 | | bathtub | 87.95 | 91.94 | | railing | 44.51 | 62.51 | | cushion | 65.39 | 75.7 | | base | 39.58 | 53.35 | | box | 37.24 | 48.48 | | column | 48.79 | 68.55 | | signboard | 40.45 | 55.47 | | chest of drawers | 42.91 | 72.73 | | counter | 41.18 | 55.44 | | sand | 62.47 | 86.87 | | sink | 80.08 | 89.59 | | skyscraper | 48.45 | 62.87 | | fireplace | 70.29 | 88.82 | | refrigerator | 85.77 | 92.53 | | grandstand | 48.3 | 80.11 | | path | 29.72 | 44.37 | | stairs | 33.27 | 42.99 | | runway | 74.75 | 96.94 | | case | 60.07 | 76.79 | | pool table | 93.58 | 97.35 | | pillow | 64.05 | 74.45 | | screen door | 80.24 | 82.58 | | stairway | 42.92 | 56.82 | | river | 14.09 | 21.62 | | bridge | 75.96 | 81.06 | | bookcase | 44.82 | 55.29 | | blind | 41.73 | 47.91 | | coffee table | 62.57 | 86.36 | | toilet | 88.66 | 91.93 | | flower | 37.26 | 55.9 | | book | 47.78 | 67.61 | | hill | 11.18 | 24.86 | | bench | 55.23 | 61.07 | | countertop | 61.91 | 76.03 | | stove | 84.31 | 92.44 | | palm | 52.74 | 75.19 | | kitchen island | 47.93 | 75.84 | | computer | 75.78 | 90.3 | | swivel chair | 53.01 | 75.57 | | boat | 73.5 | 89.07 | | bar | 57.55 | 77.2 | | arcade machine | 84.97 | 89.93 | | hovel | 46.26 | 49.48 | | bus | 91.33 | 96.23 | | towel | 73.49 | 83.09 | | light | 49.09 | 59.02 | | truck | 43.55 | 57.99 | | tower | 19.7 | 27.06 | | chandelier | 65.92 | 86.69 | | awning | 35.16 | 48.02 | | streetlight | 27.33 | 37.61 | | booth | 49.9 | 58.83 | | television receiver | 75.33 | 88.64 | | airplane | 70.12 | 77.88 | | dirt track | 22.63 | 58.46 | | apparel | 42.93 | 53.55 | | pole | 19.07 | 26.23 | | land | 5.4 | 12.72 | | bannister | 17.31 | 22.32 | | escalator | 56.37 | 71.07 | | ottoman | 53.31 | 78.44 | | bottle | 37.29 | 48.04 | | buffet | 64.36 | 83.46 | | poster | 39.41 | 50.04 | | stage | 20.56 | 45.85 | | van | 49.45 | 71.0 | | ship | 70.18 | 85.57 | | fountain | 31.36 | 31.56 | | conveyer belt | 84.32 | 94.6 | | canopy | 45.88 | 66.45 | | washer | 82.15 | 86.84 | | plaything | 29.94 | 47.03 | | swimming pool | 57.27 | 84.54 | | stool | 47.87 | 55.14 | | barrel | 48.93 | 77.51 | | basket | 42.19 | 60.36 | | waterfall | 48.0 | 62.55 | | tent | 95.32 | 98.28 | | bag | 18.83 | 21.47 | | minibike | 73.98 | 87.95 | | cradle | 81.05 | 98.07 | | oven | 63.18 | 76.28 | | ball | 59.9 | 70.28 | | food | 64.84 | 82.02 | | step | 8.13 | 9.66 | | tank | 61.09 | 66.85 | | trade name | 25.56 | 29.13 | | microwave | 88.71 | 94.14 | | pot | 55.68 | 64.39 | | animal | 71.04 | 74.02 | | bicycle | 57.47 | 84.15 | | lake | 57.32 | 63.29 | | dishwasher | 74.8 | 81.31 | | screen | 55.02 | 94.83 | | blanket | 27.8 | 32.93 | | sculpture | 72.52 | 84.3 | | hood | 57.73 | 70.49 | | sconce | 52.54 | 66.93 | | vase | 44.36 | 61.43 | | traffic light | 33.32 | 60.14 | | tray | 21.79 | 27.74 | | ashcan | 50.05 | 65.5 | | fan | 63.07 | 81.31 | | pier | 37.6 | 45.45 | | crt screen | 3.42 | 7.66 | | plate | 58.46 | 69.17 | | monitor | 19.78 | 22.56 | | bulletin board | 56.52 | 77.25 | | shower | 4.68 | 5.5 | | radiator | 61.73 | 75.67 | | glass | 18.96 | 20.61 | | clock | 43.27 | 53.6 | | flag | 61.19 | 68.96 | +---------------------+-------+-------+ 2023-11-02 10:05:47,362 - mmseg - INFO - Summary: 2023-11-02 10:05:47,362 - mmseg - INFO - +-------+------+-------+ | aAcc | mIoU | mAcc | +-------+------+-------+ | 85.16 | 55.8 | 68.66 | +-------+------+-------+ 2023-11-02 10:05:47,363 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 10:05:47,363 - mmseg - INFO - Iter(val) [250] aAcc: 0.8516, mIoU: 0.5580, mAcc: 0.6866, IoU.wall: 0.7949, IoU.building: 0.8394, IoU.sky: 0.9403, IoU.floor: 0.8324, IoU.tree: 0.7552, IoU.ceiling: 0.8411, IoU.road: 0.8607, IoU.bed : 0.9154, IoU.windowpane: 0.6621, IoU.grass: 0.6750, IoU.cabinet: 0.6428, IoU.sidewalk: 0.6903, IoU.person: 0.8295, IoU.earth: 0.3697, IoU.door: 0.6212, IoU.table: 0.6671, IoU.mountain: 0.6378, IoU.plant: 0.5416, IoU.curtain: 0.7653, IoU.chair: 0.6150, IoU.car: 0.8597, IoU.water: 0.6421, IoU.painting: 0.7857, IoU.sofa: 0.7911, IoU.shelf: 0.5144, IoU.house: 0.5543, IoU.sea: 0.7543, IoU.mirror: 0.7478, IoU.rug: 0.6354, IoU.field: 0.3392, IoU.armchair: 0.5859, IoU.seat: 0.6366, IoU.fence: 0.4875, IoU.desk: 0.5304, IoU.rock: 0.5862, IoU.wardrobe: 0.5124, IoU.lamp: 0.6762, IoU.bathtub: 0.8795, IoU.railing: 0.4451, IoU.cushion: 0.6539, IoU.base: 0.3958, IoU.box: 0.3724, IoU.column: 0.4879, IoU.signboard: 0.4045, IoU.chest of drawers: 0.4291, IoU.counter: 0.4118, IoU.sand: 0.6247, IoU.sink: 0.8008, IoU.skyscraper: 0.4845, IoU.fireplace: 0.7029, IoU.refrigerator: 0.8577, IoU.grandstand: 0.4830, IoU.path: 0.2972, IoU.stairs: 0.3327, IoU.runway: 0.7475, IoU.case: 0.6007, IoU.pool table: 0.9358, IoU.pillow: 0.6405, IoU.screen door: 0.8024, IoU.stairway: 0.4292, IoU.river: 0.1409, IoU.bridge: 0.7596, IoU.bookcase: 0.4482, IoU.blind: 0.4173, IoU.coffee table: 0.6257, IoU.toilet: 0.8866, IoU.flower: 0.3726, IoU.book: 0.4778, IoU.hill: 0.1118, IoU.bench: 0.5523, IoU.countertop: 0.6191, IoU.stove: 0.8431, IoU.palm: 0.5274, IoU.kitchen island: 0.4793, IoU.computer: 0.7578, IoU.swivel chair: 0.5301, IoU.boat: 0.7350, IoU.bar: 0.5755, IoU.arcade machine: 0.8497, IoU.hovel: 0.4626, IoU.bus: 0.9133, IoU.towel: 0.7349, IoU.light: 0.4909, IoU.truck: 0.4355, IoU.tower: 0.1970, IoU.chandelier: 0.6592, IoU.awning: 0.3516, IoU.streetlight: 0.2733, IoU.booth: 0.4990, IoU.television receiver: 0.7533, IoU.airplane: 0.7012, IoU.dirt track: 0.2263, IoU.apparel: 0.4293, IoU.pole: 0.1907, IoU.land: 0.0540, IoU.bannister: 0.1731, IoU.escalator: 0.5637, IoU.ottoman: 0.5331, IoU.bottle: 0.3729, IoU.buffet: 0.6436, IoU.poster: 0.3941, IoU.stage: 0.2056, IoU.van: 0.4945, IoU.ship: 0.7018, IoU.fountain: 0.3136, IoU.conveyer belt: 0.8432, IoU.canopy: 0.4588, IoU.washer: 0.8215, IoU.plaything: 0.2994, IoU.swimming pool: 0.5727, IoU.stool: 0.4787, IoU.barrel: 0.4893, IoU.basket: 0.4219, IoU.waterfall: 0.4800, IoU.tent: 0.9532, IoU.bag: 0.1883, IoU.minibike: 0.7398, IoU.cradle: 0.8105, IoU.oven: 0.6318, IoU.ball: 0.5990, IoU.food: 0.6484, IoU.step: 0.0813, IoU.tank: 0.6109, IoU.trade name: 0.2556, IoU.microwave: 0.8871, IoU.pot: 0.5568, IoU.animal: 0.7104, IoU.bicycle: 0.5747, IoU.lake: 0.5732, IoU.dishwasher: 0.7480, IoU.screen: 0.5502, IoU.blanket: 0.2780, IoU.sculpture: 0.7252, IoU.hood: 0.5773, IoU.sconce: 0.5254, IoU.vase: 0.4436, IoU.traffic light: 0.3332, IoU.tray: 0.2179, IoU.ashcan: 0.5005, IoU.fan: 0.6307, IoU.pier: 0.3760, IoU.crt screen: 0.0342, IoU.plate: 0.5846, IoU.monitor: 0.1978, IoU.bulletin board: 0.5652, IoU.shower: 0.0468, IoU.radiator: 0.6173, IoU.glass: 0.1896, IoU.clock: 0.4327, IoU.flag: 0.6119, Acc.wall: 0.8844, Acc.building: 0.9391, Acc.sky: 0.9750, Acc.floor: 0.9069, Acc.tree: 0.8748, Acc.ceiling: 0.9073, Acc.road: 0.9076, Acc.bed : 0.9710, Acc.windowpane: 0.8017, Acc.grass: 0.7868, Acc.cabinet: 0.7260, Acc.sidewalk: 0.8517, Acc.person: 0.9302, Acc.earth: 0.5212, Acc.door: 0.7673, Acc.table: 0.8192, Acc.mountain: 0.7911, Acc.plant: 0.6463, Acc.curtain: 0.8685, Acc.chair: 0.7508, Acc.car: 0.9333, Acc.water: 0.8082, Acc.painting: 0.8827, Acc.sofa: 0.8743, Acc.shelf: 0.7258, Acc.house: 0.6813, Acc.sea: 0.8950, Acc.mirror: 0.8582, Acc.rug: 0.7280, Acc.field: 0.4779, Acc.armchair: 0.8034, Acc.seat: 0.8614, Acc.fence: 0.6581, Acc.desk: 0.6390, Acc.rock: 0.7253, Acc.wardrobe: 0.7163, Acc.lamp: 0.7949, Acc.bathtub: 0.9194, Acc.railing: 0.6251, Acc.cushion: 0.7570, Acc.base: 0.5335, Acc.box: 0.4848, Acc.column: 0.6855, Acc.signboard: 0.5547, Acc.chest of drawers: 0.7273, Acc.counter: 0.5544, Acc.sand: 0.8687, Acc.sink: 0.8959, Acc.skyscraper: 0.6287, Acc.fireplace: 0.8882, Acc.refrigerator: 0.9253, Acc.grandstand: 0.8011, Acc.path: 0.4437, Acc.stairs: 0.4299, Acc.runway: 0.9694, Acc.case: 0.7679, Acc.pool table: 0.9735, Acc.pillow: 0.7445, Acc.screen door: 0.8258, Acc.stairway: 0.5682, Acc.river: 0.2162, Acc.bridge: 0.8106, Acc.bookcase: 0.5529, Acc.blind: 0.4791, Acc.coffee table: 0.8636, Acc.toilet: 0.9193, Acc.flower: 0.5590, Acc.book: 0.6761, Acc.hill: 0.2486, Acc.bench: 0.6107, Acc.countertop: 0.7603, Acc.stove: 0.9244, Acc.palm: 0.7519, Acc.kitchen island: 0.7584, Acc.computer: 0.9030, Acc.swivel chair: 0.7557, Acc.boat: 0.8907, Acc.bar: 0.7720, Acc.arcade machine: 0.8993, Acc.hovel: 0.4948, Acc.bus: 0.9623, Acc.towel: 0.8309, Acc.light: 0.5902, Acc.truck: 0.5799, Acc.tower: 0.2706, Acc.chandelier: 0.8669, Acc.awning: 0.4802, Acc.streetlight: 0.3761, Acc.booth: 0.5883, Acc.television receiver: 0.8864, Acc.airplane: 0.7788, Acc.dirt track: 0.5846, Acc.apparel: 0.5355, Acc.pole: 0.2623, Acc.land: 0.1272, Acc.bannister: 0.2232, Acc.escalator: 0.7107, Acc.ottoman: 0.7844, Acc.bottle: 0.4804, Acc.buffet: 0.8346, Acc.poster: 0.5004, Acc.stage: 0.4585, Acc.van: 0.7100, Acc.ship: 0.8557, Acc.fountain: 0.3156, Acc.conveyer belt: 0.9460, Acc.canopy: 0.6645, Acc.washer: 0.8684, Acc.plaything: 0.4703, Acc.swimming pool: 0.8454, Acc.stool: 0.5514, Acc.barrel: 0.7751, Acc.basket: 0.6036, Acc.waterfall: 0.6255, Acc.tent: 0.9828, Acc.bag: 0.2147, Acc.minibike: 0.8795, Acc.cradle: 0.9807, Acc.oven: 0.7628, Acc.ball: 0.7028, Acc.food: 0.8202, Acc.step: 0.0966, Acc.tank: 0.6685, Acc.trade name: 0.2913, Acc.microwave: 0.9414, Acc.pot: 0.6439, Acc.animal: 0.7402, Acc.bicycle: 0.8415, Acc.lake: 0.6329, Acc.dishwasher: 0.8131, Acc.screen: 0.9483, Acc.blanket: 0.3293, Acc.sculpture: 0.8430, Acc.hood: 0.7049, Acc.sconce: 0.6693, Acc.vase: 0.6143, Acc.traffic light: 0.6014, Acc.tray: 0.2774, Acc.ashcan: 0.6550, Acc.fan: 0.8131, Acc.pier: 0.4545, Acc.crt screen: 0.0766, Acc.plate: 0.6917, Acc.monitor: 0.2256, Acc.bulletin board: 0.7725, Acc.shower: 0.0550, Acc.radiator: 0.7567, Acc.glass: 0.2061, Acc.clock: 0.5360, Acc.flag: 0.6896 2023-11-02 10:06:48,177 - mmseg - INFO - Iter [22050/80000] lr: 2.347e-06, eta: 21:28:47, time: 2.378, data_time: 1.169, memory: 38534, decode.loss_ce: 0.2541, decode.acc_seg: 89.5318, loss: 0.2541 2023-11-02 10:07:48,927 - mmseg - INFO - Iter [22100/80000] lr: 2.345e-06, eta: 21:27:25, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2706, decode.acc_seg: 89.1525, loss: 0.2706 2023-11-02 10:08:49,689 - mmseg - INFO - Iter [22150/80000] lr: 2.343e-06, eta: 21:26:02, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2711, decode.acc_seg: 88.9501, loss: 0.2711 2023-11-02 10:09:50,442 - mmseg - INFO - Iter [22200/80000] lr: 2.341e-06, eta: 21:24:40, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2720, decode.acc_seg: 89.0304, loss: 0.2720 2023-11-02 10:10:51,220 - mmseg - INFO - Iter [22250/80000] lr: 2.339e-06, eta: 21:23:18, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2652, decode.acc_seg: 89.3210, loss: 0.2652 2023-11-02 10:11:52,012 - mmseg - INFO - Iter [22300/80000] lr: 2.337e-06, eta: 21:21:56, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2650, decode.acc_seg: 89.5387, loss: 0.2650 2023-11-02 10:12:52,749 - mmseg - INFO - Iter [22350/80000] lr: 2.335e-06, eta: 21:20:34, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2701, decode.acc_seg: 89.4862, loss: 0.2701 2023-11-02 10:13:53,456 - mmseg - INFO - Iter [22400/80000] lr: 2.333e-06, eta: 21:19:12, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2559, decode.acc_seg: 89.9147, loss: 0.2559 2023-11-02 10:14:54,196 - mmseg - INFO - Iter [22450/80000] lr: 2.331e-06, eta: 21:17:51, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2634, decode.acc_seg: 89.1074, loss: 0.2634 2023-11-02 10:15:54,925 - mmseg - INFO - Iter [22500/80000] lr: 2.329e-06, eta: 21:16:29, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2614, decode.acc_seg: 89.6532, loss: 0.2614 2023-11-02 10:16:55,710 - mmseg - INFO - Iter [22550/80000] lr: 2.327e-06, eta: 21:15:08, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2710, decode.acc_seg: 88.9785, loss: 0.2710 2023-11-02 10:17:56,472 - mmseg - INFO - Iter [22600/80000] lr: 2.325e-06, eta: 21:13:46, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2706, decode.acc_seg: 88.9937, loss: 0.2706 2023-11-02 10:18:57,238 - mmseg - INFO - Iter [22650/80000] lr: 2.323e-06, eta: 21:12:25, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2558, decode.acc_seg: 89.7332, loss: 0.2558 2023-11-02 10:19:58,003 - mmseg - INFO - Iter [22700/80000] lr: 2.321e-06, eta: 21:11:04, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2645, decode.acc_seg: 89.4532, loss: 0.2645 2023-11-02 10:21:01,055 - mmseg - INFO - Iter [22750/80000] lr: 2.319e-06, eta: 21:09:48, time: 1.261, data_time: 0.052, memory: 38534, decode.loss_ce: 0.2608, decode.acc_seg: 89.5608, loss: 0.2608 2023-11-02 10:22:01,789 - mmseg - INFO - Iter [22800/80000] lr: 2.316e-06, eta: 21:08:27, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2486, decode.acc_seg: 89.8148, loss: 0.2486 2023-11-02 10:23:02,568 - mmseg - INFO - Iter [22850/80000] lr: 2.314e-06, eta: 21:07:06, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2471, decode.acc_seg: 90.2044, loss: 0.2471 2023-11-02 10:24:03,343 - mmseg - INFO - Iter [22900/80000] lr: 2.312e-06, eta: 21:05:46, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2493, decode.acc_seg: 90.0977, loss: 0.2493 2023-11-02 10:25:04,130 - mmseg - INFO - Iter [22950/80000] lr: 2.310e-06, eta: 21:04:25, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2699, decode.acc_seg: 89.4229, loss: 0.2699 2023-11-02 10:26:04,872 - mmseg - INFO - Saving checkpoint at 23000 iterations 2023-11-02 10:26:59,616 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 10:26:59,617 - mmseg - INFO - Iter [23000/80000] lr: 2.308e-06, eta: 21:05:20, time: 2.310, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2500, decode.acc_seg: 90.0413, loss: 0.2500 2023-11-02 10:27:58,051 - mmseg - INFO - per class results: 2023-11-02 10:27:58,056 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 80.05 | 88.42 | | building | 84.29 | 93.41 | | sky | 94.5 | 97.65 | | floor | 83.63 | 90.65 | | tree | 76.57 | 88.16 | | ceiling | 86.29 | 92.7 | | road | 86.05 | 90.46 | | bed | 91.8 | 96.66 | | windowpane | 66.03 | 81.52 | | grass | 69.12 | 90.61 | | cabinet | 63.12 | 71.66 | | sidewalk | 68.78 | 84.16 | | person | 82.65 | 91.08 | | earth | 40.86 | 51.32 | | door | 59.24 | 77.49 | | table | 68.17 | 79.77 | | mountain | 63.38 | 76.47 | | plant | 55.42 | 67.05 | | curtain | 76.29 | 88.86 | | chair | 62.38 | 75.26 | | car | 86.15 | 93.14 | | water | 62.85 | 81.22 | | painting | 75.7 | 88.49 | | sofa | 80.95 | 88.82 | | shelf | 44.78 | 64.05 | | house | 52.33 | 67.84 | | sea | 68.52 | 83.85 | | mirror | 75.84 | 86.4 | | rug | 69.01 | 84.18 | | field | 37.22 | 54.47 | | armchair | 57.5 | 71.29 | | seat | 64.42 | 87.6 | | fence | 50.53 | 66.71 | | desk | 55.67 | 77.98 | | rock | 55.49 | 85.38 | | wardrobe | 50.17 | 69.17 | | lamp | 68.15 | 80.53 | | bathtub | 88.5 | 91.85 | | railing | 42.37 | 57.55 | | cushion | 62.99 | 79.93 | | base | 30.97 | 36.97 | | box | 38.23 | 48.06 | | column | 45.4 | 56.72 | | signboard | 37.65 | 56.54 | | chest of drawers | 43.74 | 79.0 | | counter | 29.62 | 35.99 | | sand | 53.05 | 89.24 | | sink | 77.58 | 87.45 | | skyscraper | 48.58 | 64.21 | | fireplace | 70.35 | 91.83 | | refrigerator | 83.24 | 95.17 | | grandstand | 47.57 | 81.28 | | path | 30.28 | 42.15 | | stairs | 35.49 | 43.11 | | runway | 73.21 | 98.1 | | case | 57.52 | 74.26 | | pool table | 93.4 | 97.82 | | pillow | 60.54 | 68.3 | | screen door | 66.03 | 67.04 | | stairway | 50.36 | 57.43 | | river | 14.91 | 21.45 | | bridge | 79.77 | 87.63 | | bookcase | 37.67 | 59.64 | | blind | 43.33 | 50.55 | | coffee table | 65.73 | 85.76 | | toilet | 89.36 | 95.22 | | flower | 39.93 | 56.48 | | book | 49.03 | 71.82 | | hill | 8.23 | 11.78 | | bench | 55.97 | 65.47 | | countertop | 61.34 | 79.0 | | stove | 81.43 | 87.93 | | palm | 51.3 | 71.53 | | kitchen island | 48.33 | 86.97 | | computer | 80.41 | 88.87 | | swivel chair | 52.21 | 80.24 | | boat | 74.52 | 85.64 | | bar | 61.19 | 83.06 | | arcade machine | 79.7 | 82.77 | | hovel | 54.1 | 60.29 | | bus | 92.43 | 95.87 | | towel | 75.8 | 85.49 | | light | 48.58 | 56.57 | | truck | 50.85 | 59.64 | | tower | 29.71 | 49.81 | | chandelier | 66.94 | 86.23 | | awning | 29.41 | 34.39 | | streetlight | 26.84 | 36.18 | | booth | 45.2 | 61.05 | | television receiver | 77.66 | 91.53 | | airplane | 78.27 | 86.62 | | dirt track | 17.83 | 28.56 | | apparel | 53.24 | 78.81 | | pole | 18.24 | 21.96 | | land | 4.01 | 5.54 | | bannister | 16.83 | 20.97 | | escalator | 47.45 | 59.82 | | ottoman | 54.69 | 77.6 | | bottle | 33.71 | 45.93 | | buffet | 62.68 | 82.13 | | poster | 36.36 | 46.15 | | stage | 14.47 | 25.64 | | van | 48.12 | 65.84 | | ship | 68.38 | 70.83 | | fountain | 23.96 | 24.06 | | conveyer belt | 80.16 | 93.35 | | canopy | 42.44 | 56.14 | | washer | 81.05 | 84.84 | | plaything | 30.73 | 41.58 | | swimming pool | 55.49 | 74.65 | | stool | 46.45 | 67.58 | | barrel | 54.23 | 70.1 | | basket | 46.28 | 65.45 | | waterfall | 42.56 | 49.51 | | tent | 91.99 | 97.77 | | bag | 22.74 | 25.71 | | minibike | 71.45 | 88.71 | | cradle | 82.56 | 96.56 | | oven | 55.95 | 80.15 | | ball | 57.69 | 65.68 | | food | 67.18 | 76.99 | | step | 10.19 | 12.36 | | tank | 62.8 | 64.99 | | trade name | 16.17 | 17.91 | | microwave | 88.67 | 94.33 | | pot | 55.77 | 66.09 | | animal | 71.65 | 74.28 | | bicycle | 59.29 | 83.23 | | lake | 58.54 | 63.55 | | dishwasher | 72.08 | 79.79 | | screen | 48.66 | 65.59 | | blanket | 37.32 | 46.2 | | sculpture | 68.16 | 78.16 | | hood | 57.09 | 72.2 | | sconce | 49.9 | 57.42 | | vase | 42.33 | 63.43 | | traffic light | 33.54 | 56.42 | | tray | 19.06 | 23.3 | | ashcan | 50.53 | 67.79 | | fan | 62.87 | 85.33 | | pier | 37.21 | 42.73 | | crt screen | 9.02 | 27.77 | | plate | 54.91 | 78.54 | | monitor | 11.81 | 13.72 | | bulletin board | 47.82 | 61.3 | | shower | 4.96 | 7.23 | | radiator | 61.25 | 74.41 | | glass | 20.68 | 23.14 | | clock | 41.07 | 46.59 | | flag | 63.18 | 73.08 | +---------------------+-------+-------+ 2023-11-02 10:27:58,056 - mmseg - INFO - Summary: 2023-11-02 10:27:58,056 - mmseg - INFO - +-------+-------+------+ | aAcc | mIoU | mAcc | +-------+-------+------+ | 85.37 | 55.17 | 67.8 | +-------+-------+------+ 2023-11-02 10:27:58,057 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 10:27:58,057 - mmseg - INFO - Iter(val) [250] aAcc: 0.8537, mIoU: 0.5517, mAcc: 0.6780, IoU.wall: 0.8005, IoU.building: 0.8429, IoU.sky: 0.9450, IoU.floor: 0.8363, IoU.tree: 0.7657, IoU.ceiling: 0.8629, IoU.road: 0.8605, IoU.bed : 0.9180, IoU.windowpane: 0.6603, IoU.grass: 0.6912, IoU.cabinet: 0.6312, IoU.sidewalk: 0.6878, IoU.person: 0.8265, IoU.earth: 0.4086, IoU.door: 0.5924, IoU.table: 0.6817, IoU.mountain: 0.6338, IoU.plant: 0.5542, IoU.curtain: 0.7629, IoU.chair: 0.6238, IoU.car: 0.8615, IoU.water: 0.6285, IoU.painting: 0.7570, IoU.sofa: 0.8095, IoU.shelf: 0.4478, IoU.house: 0.5233, IoU.sea: 0.6852, IoU.mirror: 0.7584, IoU.rug: 0.6901, IoU.field: 0.3722, IoU.armchair: 0.5750, IoU.seat: 0.6442, IoU.fence: 0.5053, IoU.desk: 0.5567, IoU.rock: 0.5549, IoU.wardrobe: 0.5017, IoU.lamp: 0.6815, IoU.bathtub: 0.8850, IoU.railing: 0.4237, IoU.cushion: 0.6299, IoU.base: 0.3097, IoU.box: 0.3823, IoU.column: 0.4540, IoU.signboard: 0.3765, IoU.chest of drawers: 0.4374, IoU.counter: 0.2962, IoU.sand: 0.5305, IoU.sink: 0.7758, IoU.skyscraper: 0.4858, IoU.fireplace: 0.7035, IoU.refrigerator: 0.8324, IoU.grandstand: 0.4757, IoU.path: 0.3028, IoU.stairs: 0.3549, IoU.runway: 0.7321, IoU.case: 0.5752, IoU.pool table: 0.9340, IoU.pillow: 0.6054, IoU.screen door: 0.6603, IoU.stairway: 0.5036, IoU.river: 0.1491, IoU.bridge: 0.7977, IoU.bookcase: 0.3767, IoU.blind: 0.4333, IoU.coffee table: 0.6573, IoU.toilet: 0.8936, IoU.flower: 0.3993, IoU.book: 0.4903, IoU.hill: 0.0823, IoU.bench: 0.5597, IoU.countertop: 0.6134, IoU.stove: 0.8143, IoU.palm: 0.5130, IoU.kitchen island: 0.4833, IoU.computer: 0.8041, IoU.swivel chair: 0.5221, IoU.boat: 0.7452, IoU.bar: 0.6119, IoU.arcade machine: 0.7970, IoU.hovel: 0.5410, IoU.bus: 0.9243, IoU.towel: 0.7580, IoU.light: 0.4858, IoU.truck: 0.5085, IoU.tower: 0.2971, IoU.chandelier: 0.6694, IoU.awning: 0.2941, IoU.streetlight: 0.2684, IoU.booth: 0.4520, IoU.television receiver: 0.7766, IoU.airplane: 0.7827, IoU.dirt track: 0.1783, IoU.apparel: 0.5324, IoU.pole: 0.1824, IoU.land: 0.0401, IoU.bannister: 0.1683, IoU.escalator: 0.4745, IoU.ottoman: 0.5469, IoU.bottle: 0.3371, IoU.buffet: 0.6268, IoU.poster: 0.3636, IoU.stage: 0.1447, IoU.van: 0.4812, IoU.ship: 0.6838, IoU.fountain: 0.2396, IoU.conveyer belt: 0.8016, IoU.canopy: 0.4244, IoU.washer: 0.8105, IoU.plaything: 0.3073, IoU.swimming pool: 0.5549, IoU.stool: 0.4645, IoU.barrel: 0.5423, IoU.basket: 0.4628, IoU.waterfall: 0.4256, IoU.tent: 0.9199, IoU.bag: 0.2274, IoU.minibike: 0.7145, IoU.cradle: 0.8256, IoU.oven: 0.5595, IoU.ball: 0.5769, IoU.food: 0.6718, IoU.step: 0.1019, IoU.tank: 0.6280, IoU.trade name: 0.1617, IoU.microwave: 0.8867, IoU.pot: 0.5577, IoU.animal: 0.7165, IoU.bicycle: 0.5929, IoU.lake: 0.5854, IoU.dishwasher: 0.7208, IoU.screen: 0.4866, IoU.blanket: 0.3732, IoU.sculpture: 0.6816, IoU.hood: 0.5709, IoU.sconce: 0.4990, IoU.vase: 0.4233, IoU.traffic light: 0.3354, IoU.tray: 0.1906, IoU.ashcan: 0.5053, IoU.fan: 0.6287, IoU.pier: 0.3721, IoU.crt screen: 0.0902, IoU.plate: 0.5491, IoU.monitor: 0.1181, IoU.bulletin board: 0.4782, IoU.shower: 0.0496, IoU.radiator: 0.6125, IoU.glass: 0.2068, IoU.clock: 0.4107, IoU.flag: 0.6318, Acc.wall: 0.8842, Acc.building: 0.9341, Acc.sky: 0.9765, Acc.floor: 0.9065, Acc.tree: 0.8816, Acc.ceiling: 0.9270, Acc.road: 0.9046, Acc.bed : 0.9666, Acc.windowpane: 0.8152, Acc.grass: 0.9061, Acc.cabinet: 0.7166, Acc.sidewalk: 0.8416, Acc.person: 0.9108, Acc.earth: 0.5132, Acc.door: 0.7749, Acc.table: 0.7977, Acc.mountain: 0.7647, Acc.plant: 0.6705, Acc.curtain: 0.8886, Acc.chair: 0.7526, Acc.car: 0.9314, Acc.water: 0.8122, Acc.painting: 0.8849, Acc.sofa: 0.8882, Acc.shelf: 0.6405, Acc.house: 0.6784, Acc.sea: 0.8385, Acc.mirror: 0.8640, Acc.rug: 0.8418, Acc.field: 0.5447, Acc.armchair: 0.7129, Acc.seat: 0.8760, Acc.fence: 0.6671, Acc.desk: 0.7798, Acc.rock: 0.8538, Acc.wardrobe: 0.6917, Acc.lamp: 0.8053, Acc.bathtub: 0.9185, Acc.railing: 0.5755, Acc.cushion: 0.7993, Acc.base: 0.3697, Acc.box: 0.4806, Acc.column: 0.5672, Acc.signboard: 0.5654, Acc.chest of drawers: 0.7900, Acc.counter: 0.3599, Acc.sand: 0.8924, Acc.sink: 0.8745, Acc.skyscraper: 0.6421, Acc.fireplace: 0.9183, Acc.refrigerator: 0.9517, Acc.grandstand: 0.8128, Acc.path: 0.4215, Acc.stairs: 0.4311, Acc.runway: 0.9810, Acc.case: 0.7426, Acc.pool table: 0.9782, Acc.pillow: 0.6830, Acc.screen door: 0.6704, Acc.stairway: 0.5743, Acc.river: 0.2145, Acc.bridge: 0.8763, Acc.bookcase: 0.5964, Acc.blind: 0.5055, Acc.coffee table: 0.8576, Acc.toilet: 0.9522, Acc.flower: 0.5648, Acc.book: 0.7182, Acc.hill: 0.1178, Acc.bench: 0.6547, Acc.countertop: 0.7900, Acc.stove: 0.8793, Acc.palm: 0.7153, Acc.kitchen island: 0.8697, Acc.computer: 0.8887, Acc.swivel chair: 0.8024, Acc.boat: 0.8564, Acc.bar: 0.8306, Acc.arcade machine: 0.8277, Acc.hovel: 0.6029, Acc.bus: 0.9587, Acc.towel: 0.8549, Acc.light: 0.5657, Acc.truck: 0.5964, Acc.tower: 0.4981, Acc.chandelier: 0.8623, Acc.awning: 0.3439, Acc.streetlight: 0.3618, Acc.booth: 0.6105, Acc.television receiver: 0.9153, Acc.airplane: 0.8662, Acc.dirt track: 0.2856, Acc.apparel: 0.7881, Acc.pole: 0.2196, Acc.land: 0.0554, Acc.bannister: 0.2097, Acc.escalator: 0.5982, Acc.ottoman: 0.7760, Acc.bottle: 0.4593, Acc.buffet: 0.8213, Acc.poster: 0.4615, Acc.stage: 0.2564, Acc.van: 0.6584, Acc.ship: 0.7083, Acc.fountain: 0.2406, Acc.conveyer belt: 0.9335, Acc.canopy: 0.5614, Acc.washer: 0.8484, Acc.plaything: 0.4158, Acc.swimming pool: 0.7465, Acc.stool: 0.6758, Acc.barrel: 0.7010, Acc.basket: 0.6545, Acc.waterfall: 0.4951, Acc.tent: 0.9777, Acc.bag: 0.2571, Acc.minibike: 0.8871, Acc.cradle: 0.9656, Acc.oven: 0.8015, Acc.ball: 0.6568, Acc.food: 0.7699, Acc.step: 0.1236, Acc.tank: 0.6499, Acc.trade name: 0.1791, Acc.microwave: 0.9433, Acc.pot: 0.6609, Acc.animal: 0.7428, Acc.bicycle: 0.8323, Acc.lake: 0.6355, Acc.dishwasher: 0.7979, Acc.screen: 0.6559, Acc.blanket: 0.4620, Acc.sculpture: 0.7816, Acc.hood: 0.7220, Acc.sconce: 0.5742, Acc.vase: 0.6343, Acc.traffic light: 0.5642, Acc.tray: 0.2330, Acc.ashcan: 0.6779, Acc.fan: 0.8533, Acc.pier: 0.4273, Acc.crt screen: 0.2777, Acc.plate: 0.7854, Acc.monitor: 0.1372, Acc.bulletin board: 0.6130, Acc.shower: 0.0723, Acc.radiator: 0.7441, Acc.glass: 0.2314, Acc.clock: 0.4659, Acc.flag: 0.7308 2023-11-02 10:28:58,898 - mmseg - INFO - Iter [23050/80000] lr: 2.306e-06, eta: 21:06:23, time: 2.386, data_time: 1.176, memory: 38534, decode.loss_ce: 0.2592, decode.acc_seg: 89.3195, loss: 0.2592 2023-11-02 10:29:59,640 - mmseg - INFO - Iter [23100/80000] lr: 2.304e-06, eta: 21:05:02, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2563, decode.acc_seg: 89.7395, loss: 0.2563 2023-11-02 10:31:00,407 - mmseg - INFO - Iter [23150/80000] lr: 2.302e-06, eta: 21:03:41, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2443, decode.acc_seg: 90.0394, loss: 0.2443 2023-11-02 10:32:01,173 - mmseg - INFO - Iter [23200/80000] lr: 2.300e-06, eta: 21:02:20, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2580, decode.acc_seg: 89.6281, loss: 0.2580 2023-11-02 10:33:01,943 - mmseg - INFO - Iter [23250/80000] lr: 2.298e-06, eta: 21:00:58, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2478, decode.acc_seg: 89.7848, loss: 0.2478 2023-11-02 10:34:02,678 - mmseg - INFO - Iter [23300/80000] lr: 2.296e-06, eta: 20:59:37, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2680, decode.acc_seg: 89.3180, loss: 0.2680 2023-11-02 10:35:03,406 - mmseg - INFO - Iter [23350/80000] lr: 2.294e-06, eta: 20:58:16, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2463, decode.acc_seg: 89.9739, loss: 0.2463 2023-11-02 10:36:04,188 - mmseg - INFO - Iter [23400/80000] lr: 2.292e-06, eta: 20:56:56, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2571, decode.acc_seg: 89.6131, loss: 0.2571 2023-11-02 10:37:04,977 - mmseg - INFO - Iter [23450/80000] lr: 2.290e-06, eta: 20:55:35, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2539, decode.acc_seg: 89.4166, loss: 0.2539 2023-11-02 10:38:05,694 - mmseg - INFO - Iter [23500/80000] lr: 2.288e-06, eta: 20:54:14, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2522, decode.acc_seg: 89.8415, loss: 0.2522 2023-11-02 10:39:06,454 - mmseg - INFO - Iter [23550/80000] lr: 2.286e-06, eta: 20:52:54, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2657, decode.acc_seg: 89.4386, loss: 0.2657 2023-11-02 10:40:07,182 - mmseg - INFO - Iter [23600/80000] lr: 2.284e-06, eta: 20:51:33, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2573, decode.acc_seg: 89.8362, loss: 0.2573 2023-11-02 10:41:07,971 - mmseg - INFO - Iter [23650/80000] lr: 2.282e-06, eta: 20:50:13, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2430, decode.acc_seg: 90.0261, loss: 0.2430 2023-11-02 10:42:08,727 - mmseg - INFO - Iter [23700/80000] lr: 2.280e-06, eta: 20:48:52, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2595, decode.acc_seg: 89.4043, loss: 0.2595 2023-11-02 10:43:09,485 - mmseg - INFO - Iter [23750/80000] lr: 2.278e-06, eta: 20:47:32, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2604, decode.acc_seg: 89.5995, loss: 0.2604 2023-11-02 10:44:10,228 - mmseg - INFO - Iter [23800/80000] lr: 2.276e-06, eta: 20:46:12, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2634, decode.acc_seg: 89.4533, loss: 0.2634 2023-11-02 10:45:10,968 - mmseg - INFO - Iter [23850/80000] lr: 2.274e-06, eta: 20:44:52, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2682, decode.acc_seg: 89.1611, loss: 0.2682 2023-11-02 10:46:11,656 - mmseg - INFO - Iter [23900/80000] lr: 2.272e-06, eta: 20:43:31, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2517, decode.acc_seg: 89.7809, loss: 0.2517 2023-11-02 10:47:12,386 - mmseg - INFO - Iter [23950/80000] lr: 2.270e-06, eta: 20:42:11, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2704, decode.acc_seg: 89.0550, loss: 0.2704 2023-11-02 10:48:15,528 - mmseg - INFO - Saving checkpoint at 24000 iterations 2023-11-02 10:49:09,871 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 10:49:09,871 - mmseg - INFO - Iter [24000/80000] lr: 2.268e-06, eta: 20:43:04, time: 2.350, data_time: 0.053, memory: 38534, decode.loss_ce: 0.2765, decode.acc_seg: 89.1354, loss: 0.2765 2023-11-02 10:50:06,320 - mmseg - INFO - per class results: 2023-11-02 10:50:06,326 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 80.14 | 87.68 | | building | 83.22 | 90.62 | | sky | 94.46 | 97.37 | | floor | 84.13 | 89.86 | | tree | 76.12 | 89.77 | | ceiling | 85.61 | 92.98 | | road | 86.03 | 91.66 | | bed | 91.14 | 97.63 | | windowpane | 66.66 | 80.14 | | grass | 66.95 | 80.15 | | cabinet | 64.32 | 75.37 | | sidewalk | 69.9 | 83.76 | | person | 82.92 | 92.2 | | earth | 38.06 | 52.81 | | door | 60.57 | 78.23 | | table | 67.06 | 82.42 | | mountain | 61.21 | 75.33 | | plant | 55.18 | 65.6 | | curtain | 76.89 | 88.49 | | chair | 62.98 | 78.89 | | car | 86.03 | 93.27 | | water | 61.68 | 78.52 | | painting | 76.95 | 89.96 | | sofa | 77.33 | 83.67 | | shelf | 48.48 | 68.5 | | house | 50.18 | 83.55 | | sea | 69.41 | 86.92 | | mirror | 74.83 | 83.68 | | rug | 68.86 | 81.12 | | field | 28.78 | 48.7 | | armchair | 58.54 | 79.49 | | seat | 66.21 | 88.27 | | fence | 51.98 | 69.1 | | desk | 56.1 | 74.68 | | rock | 54.49 | 74.02 | | wardrobe | 50.82 | 75.19 | | lamp | 68.67 | 79.33 | | bathtub | 83.38 | 91.9 | | railing | 44.47 | 66.25 | | cushion | 64.36 | 75.85 | | base | 37.17 | 51.24 | | box | 35.74 | 43.19 | | column | 49.53 | 70.95 | | signboard | 40.0 | 51.65 | | chest of drawers | 48.7 | 75.87 | | counter | 43.73 | 58.67 | | sand | 58.52 | 88.2 | | sink | 78.08 | 84.14 | | skyscraper | 46.3 | 57.13 | | fireplace | 73.65 | 91.33 | | refrigerator | 83.46 | 88.6 | | grandstand | 59.03 | 81.6 | | path | 28.67 | 38.36 | | stairs | 45.65 | 63.09 | | runway | 69.65 | 89.12 | | case | 59.84 | 76.8 | | pool table | 93.1 | 98.49 | | pillow | 64.99 | 79.19 | | screen door | 71.77 | 73.24 | | stairway | 49.58 | 58.62 | | river | 21.96 | 30.28 | | bridge | 75.88 | 89.79 | | bookcase | 42.12 | 51.45 | | blind | 41.56 | 50.56 | | coffee table | 64.32 | 87.23 | | toilet | 89.72 | 94.82 | | flower | 38.32 | 54.78 | | book | 49.61 | 70.86 | | hill | 15.25 | 26.36 | | bench | 53.21 | 64.58 | | countertop | 60.37 | 83.91 | | stove | 83.56 | 90.04 | | palm | 50.91 | 74.31 | | kitchen island | 45.76 | 67.99 | | computer | 74.83 | 91.42 | | swivel chair | 49.97 | 73.91 | | boat | 61.79 | 91.25 | | bar | 56.44 | 78.47 | | arcade machine | 75.72 | 81.34 | | hovel | 54.14 | 62.67 | | bus | 90.94 | 96.71 | | towel | 74.87 | 83.75 | | light | 48.46 | 57.29 | | truck | 45.29 | 59.99 | | tower | 32.7 | 52.93 | | chandelier | 67.38 | 85.45 | | awning | 33.72 | 41.27 | | streetlight | 30.48 | 45.12 | | booth | 45.86 | 75.6 | | television receiver | 74.6 | 90.28 | | airplane | 83.86 | 92.0 | | dirt track | 12.96 | 17.43 | | apparel | 51.64 | 71.88 | | pole | 19.29 | 29.14 | | land | 5.55 | 9.29 | | bannister | 18.02 | 27.47 | | escalator | 55.77 | 73.85 | | ottoman | 49.41 | 76.95 | | bottle | 36.9 | 53.32 | | buffet | 65.21 | 86.87 | | poster | 38.75 | 46.71 | | stage | 17.56 | 32.71 | | van | 47.08 | 68.85 | | ship | 67.4 | 67.84 | | fountain | 42.87 | 43.27 | | conveyer belt | 85.62 | 93.51 | | canopy | 42.14 | 54.2 | | washer | 89.76 | 94.8 | | plaything | 29.1 | 51.97 | | swimming pool | 52.99 | 76.31 | | stool | 51.68 | 66.71 | | barrel | 48.56 | 64.96 | | basket | 44.5 | 59.21 | | waterfall | 47.3 | 60.89 | | tent | 95.36 | 97.67 | | bag | 16.68 | 17.8 | | minibike | 71.03 | 91.03 | | cradle | 85.16 | 98.25 | | oven | 63.02 | 76.99 | | ball | 59.8 | 69.89 | | food | 64.85 | 81.14 | | step | 14.48 | 20.3 | | tank | 62.7 | 68.84 | | trade name | 31.07 | 36.84 | | microwave | 89.29 | 94.32 | | pot | 56.01 | 63.43 | | animal | 75.75 | 78.24 | | bicycle | 59.82 | 80.67 | | lake | 63.24 | 63.67 | | dishwasher | 75.37 | 77.91 | | screen | 65.97 | 92.66 | | blanket | 22.56 | 25.41 | | sculpture | 69.39 | 86.17 | | hood | 60.16 | 72.96 | | sconce | 51.63 | 74.74 | | vase | 43.93 | 59.07 | | traffic light | 34.03 | 58.87 | | tray | 15.35 | 18.1 | | ashcan | 51.26 | 65.47 | | fan | 63.45 | 75.13 | | pier | 35.65 | 43.55 | | crt screen | 19.16 | 24.4 | | plate | 58.0 | 72.29 | | monitor | 59.84 | 73.3 | | bulletin board | 57.64 | 77.1 | | shower | 5.48 | 10.83 | | radiator | 60.94 | 77.17 | | glass | 18.81 | 20.43 | | clock | 44.52 | 54.37 | | flag | 64.39 | 76.32 | +---------------------+-------+-------+ 2023-11-02 10:50:06,326 - mmseg - INFO - Summary: 2023-11-02 10:50:06,326 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 85.22 | 56.48 | 69.75 | +-------+-------+-------+ 2023-11-02 10:50:06,327 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 10:50:06,327 - mmseg - INFO - Iter(val) [250] aAcc: 0.8522, mIoU: 0.5648, mAcc: 0.6975, IoU.wall: 0.8014, IoU.building: 0.8322, IoU.sky: 0.9446, IoU.floor: 0.8413, IoU.tree: 0.7612, IoU.ceiling: 0.8561, IoU.road: 0.8603, IoU.bed : 0.9114, IoU.windowpane: 0.6666, IoU.grass: 0.6695, IoU.cabinet: 0.6432, IoU.sidewalk: 0.6990, IoU.person: 0.8292, IoU.earth: 0.3806, IoU.door: 0.6057, IoU.table: 0.6706, IoU.mountain: 0.6121, IoU.plant: 0.5518, IoU.curtain: 0.7689, IoU.chair: 0.6298, IoU.car: 0.8603, IoU.water: 0.6168, IoU.painting: 0.7695, IoU.sofa: 0.7733, IoU.shelf: 0.4848, IoU.house: 0.5018, IoU.sea: 0.6941, IoU.mirror: 0.7483, IoU.rug: 0.6886, IoU.field: 0.2878, IoU.armchair: 0.5854, IoU.seat: 0.6621, IoU.fence: 0.5198, IoU.desk: 0.5610, IoU.rock: 0.5449, IoU.wardrobe: 0.5082, IoU.lamp: 0.6867, IoU.bathtub: 0.8338, IoU.railing: 0.4447, IoU.cushion: 0.6436, IoU.base: 0.3717, IoU.box: 0.3574, IoU.column: 0.4953, IoU.signboard: 0.4000, IoU.chest of drawers: 0.4870, IoU.counter: 0.4373, IoU.sand: 0.5852, IoU.sink: 0.7808, IoU.skyscraper: 0.4630, IoU.fireplace: 0.7365, IoU.refrigerator: 0.8346, IoU.grandstand: 0.5903, IoU.path: 0.2867, IoU.stairs: 0.4565, IoU.runway: 0.6965, IoU.case: 0.5984, IoU.pool table: 0.9310, IoU.pillow: 0.6499, IoU.screen door: 0.7177, IoU.stairway: 0.4958, IoU.river: 0.2196, IoU.bridge: 0.7588, IoU.bookcase: 0.4212, IoU.blind: 0.4156, IoU.coffee table: 0.6432, IoU.toilet: 0.8972, IoU.flower: 0.3832, IoU.book: 0.4961, IoU.hill: 0.1525, IoU.bench: 0.5321, IoU.countertop: 0.6037, IoU.stove: 0.8356, IoU.palm: 0.5091, IoU.kitchen island: 0.4576, IoU.computer: 0.7483, IoU.swivel chair: 0.4997, IoU.boat: 0.6179, IoU.bar: 0.5644, IoU.arcade machine: 0.7572, IoU.hovel: 0.5414, IoU.bus: 0.9094, IoU.towel: 0.7487, IoU.light: 0.4846, IoU.truck: 0.4529, IoU.tower: 0.3270, IoU.chandelier: 0.6738, IoU.awning: 0.3372, IoU.streetlight: 0.3048, IoU.booth: 0.4586, IoU.television receiver: 0.7460, IoU.airplane: 0.8386, IoU.dirt track: 0.1296, IoU.apparel: 0.5164, IoU.pole: 0.1929, IoU.land: 0.0555, IoU.bannister: 0.1802, IoU.escalator: 0.5577, IoU.ottoman: 0.4941, IoU.bottle: 0.3690, IoU.buffet: 0.6521, IoU.poster: 0.3875, IoU.stage: 0.1756, IoU.van: 0.4708, IoU.ship: 0.6740, IoU.fountain: 0.4287, IoU.conveyer belt: 0.8562, IoU.canopy: 0.4214, IoU.washer: 0.8976, IoU.plaything: 0.2910, IoU.swimming pool: 0.5299, IoU.stool: 0.5168, IoU.barrel: 0.4856, IoU.basket: 0.4450, IoU.waterfall: 0.4730, IoU.tent: 0.9536, IoU.bag: 0.1668, IoU.minibike: 0.7103, IoU.cradle: 0.8516, IoU.oven: 0.6302, IoU.ball: 0.5980, IoU.food: 0.6485, IoU.step: 0.1448, IoU.tank: 0.6270, IoU.trade name: 0.3107, IoU.microwave: 0.8929, IoU.pot: 0.5601, IoU.animal: 0.7575, IoU.bicycle: 0.5982, IoU.lake: 0.6324, IoU.dishwasher: 0.7537, IoU.screen: 0.6597, IoU.blanket: 0.2256, IoU.sculpture: 0.6939, IoU.hood: 0.6016, IoU.sconce: 0.5163, IoU.vase: 0.4393, IoU.traffic light: 0.3403, IoU.tray: 0.1535, IoU.ashcan: 0.5126, IoU.fan: 0.6345, IoU.pier: 0.3565, IoU.crt screen: 0.1916, IoU.plate: 0.5800, IoU.monitor: 0.5984, IoU.bulletin board: 0.5764, IoU.shower: 0.0548, IoU.radiator: 0.6094, IoU.glass: 0.1881, IoU.clock: 0.4452, IoU.flag: 0.6439, Acc.wall: 0.8768, Acc.building: 0.9062, Acc.sky: 0.9737, Acc.floor: 0.8986, Acc.tree: 0.8977, Acc.ceiling: 0.9298, Acc.road: 0.9166, Acc.bed : 0.9763, Acc.windowpane: 0.8014, Acc.grass: 0.8015, Acc.cabinet: 0.7537, Acc.sidewalk: 0.8376, Acc.person: 0.9220, Acc.earth: 0.5281, Acc.door: 0.7823, Acc.table: 0.8242, Acc.mountain: 0.7533, Acc.plant: 0.6560, Acc.curtain: 0.8849, Acc.chair: 0.7889, Acc.car: 0.9327, Acc.water: 0.7852, Acc.painting: 0.8996, Acc.sofa: 0.8367, Acc.shelf: 0.6850, Acc.house: 0.8355, Acc.sea: 0.8692, Acc.mirror: 0.8368, Acc.rug: 0.8112, Acc.field: 0.4870, Acc.armchair: 0.7949, Acc.seat: 0.8827, Acc.fence: 0.6910, Acc.desk: 0.7468, Acc.rock: 0.7402, Acc.wardrobe: 0.7519, Acc.lamp: 0.7933, Acc.bathtub: 0.9190, Acc.railing: 0.6625, Acc.cushion: 0.7585, Acc.base: 0.5124, Acc.box: 0.4319, Acc.column: 0.7095, Acc.signboard: 0.5165, Acc.chest of drawers: 0.7587, Acc.counter: 0.5867, Acc.sand: 0.8820, Acc.sink: 0.8414, Acc.skyscraper: 0.5713, Acc.fireplace: 0.9133, Acc.refrigerator: 0.8860, Acc.grandstand: 0.8160, Acc.path: 0.3836, Acc.stairs: 0.6309, Acc.runway: 0.8912, Acc.case: 0.7680, Acc.pool table: 0.9849, Acc.pillow: 0.7919, Acc.screen door: 0.7324, Acc.stairway: 0.5862, Acc.river: 0.3028, Acc.bridge: 0.8979, Acc.bookcase: 0.5145, Acc.blind: 0.5056, Acc.coffee table: 0.8723, Acc.toilet: 0.9482, Acc.flower: 0.5478, Acc.book: 0.7086, Acc.hill: 0.2636, Acc.bench: 0.6458, Acc.countertop: 0.8391, Acc.stove: 0.9004, Acc.palm: 0.7431, Acc.kitchen island: 0.6799, Acc.computer: 0.9142, Acc.swivel chair: 0.7391, Acc.boat: 0.9125, Acc.bar: 0.7847, Acc.arcade machine: 0.8134, Acc.hovel: 0.6267, Acc.bus: 0.9671, Acc.towel: 0.8375, Acc.light: 0.5729, Acc.truck: 0.5999, Acc.tower: 0.5293, Acc.chandelier: 0.8545, Acc.awning: 0.4127, Acc.streetlight: 0.4512, Acc.booth: 0.7560, Acc.television receiver: 0.9028, Acc.airplane: 0.9200, Acc.dirt track: 0.1743, Acc.apparel: 0.7188, Acc.pole: 0.2914, Acc.land: 0.0929, Acc.bannister: 0.2747, Acc.escalator: 0.7385, Acc.ottoman: 0.7695, Acc.bottle: 0.5332, Acc.buffet: 0.8687, Acc.poster: 0.4671, Acc.stage: 0.3271, Acc.van: 0.6885, Acc.ship: 0.6784, Acc.fountain: 0.4327, Acc.conveyer belt: 0.9351, Acc.canopy: 0.5420, Acc.washer: 0.9480, Acc.plaything: 0.5197, Acc.swimming pool: 0.7631, Acc.stool: 0.6671, Acc.barrel: 0.6496, Acc.basket: 0.5921, Acc.waterfall: 0.6089, Acc.tent: 0.9767, Acc.bag: 0.1780, Acc.minibike: 0.9103, Acc.cradle: 0.9825, Acc.oven: 0.7699, Acc.ball: 0.6989, Acc.food: 0.8114, Acc.step: 0.2030, Acc.tank: 0.6884, Acc.trade name: 0.3684, Acc.microwave: 0.9432, Acc.pot: 0.6343, Acc.animal: 0.7824, Acc.bicycle: 0.8067, Acc.lake: 0.6367, Acc.dishwasher: 0.7791, Acc.screen: 0.9266, Acc.blanket: 0.2541, Acc.sculpture: 0.8617, Acc.hood: 0.7296, Acc.sconce: 0.7474, Acc.vase: 0.5907, Acc.traffic light: 0.5887, Acc.tray: 0.1810, Acc.ashcan: 0.6547, Acc.fan: 0.7513, Acc.pier: 0.4355, Acc.crt screen: 0.2440, Acc.plate: 0.7229, Acc.monitor: 0.7330, Acc.bulletin board: 0.7710, Acc.shower: 0.1083, Acc.radiator: 0.7717, Acc.glass: 0.2043, Acc.clock: 0.5437, Acc.flag: 0.7632 2023-11-02 10:51:07,196 - mmseg - INFO - Iter [24050/80000] lr: 2.266e-06, eta: 20:43:55, time: 2.347, data_time: 1.136, memory: 38534, decode.loss_ce: 0.2459, decode.acc_seg: 90.0181, loss: 0.2459 2023-11-02 10:52:07,937 - mmseg - INFO - Iter [24100/80000] lr: 2.264e-06, eta: 20:42:35, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2552, decode.acc_seg: 89.6468, loss: 0.2552 2023-11-02 10:53:08,671 - mmseg - INFO - Iter [24150/80000] lr: 2.262e-06, eta: 20:41:14, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2436, decode.acc_seg: 89.9474, loss: 0.2436 2023-11-02 10:54:09,430 - mmseg - INFO - Iter [24200/80000] lr: 2.260e-06, eta: 20:39:54, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2485, decode.acc_seg: 89.6200, loss: 0.2485 2023-11-02 10:55:10,222 - mmseg - INFO - Iter [24250/80000] lr: 2.258e-06, eta: 20:38:34, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2504, decode.acc_seg: 89.9415, loss: 0.2504 2023-11-02 10:56:11,003 - mmseg - INFO - Iter [24300/80000] lr: 2.256e-06, eta: 20:37:14, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2519, decode.acc_seg: 89.7001, loss: 0.2519 2023-11-02 10:57:11,786 - mmseg - INFO - Iter [24350/80000] lr: 2.254e-06, eta: 20:35:54, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2455, decode.acc_seg: 90.0763, loss: 0.2455 2023-11-02 10:58:12,540 - mmseg - INFO - Iter [24400/80000] lr: 2.252e-06, eta: 20:34:34, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2459, decode.acc_seg: 90.1058, loss: 0.2459 2023-11-02 10:59:13,271 - mmseg - INFO - Iter [24450/80000] lr: 2.250e-06, eta: 20:33:14, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2347, decode.acc_seg: 90.3466, loss: 0.2347 2023-11-02 11:00:14,106 - mmseg - INFO - Iter [24500/80000] lr: 2.248e-06, eta: 20:31:54, time: 1.217, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2435, decode.acc_seg: 90.2641, loss: 0.2435 2023-11-02 11:01:14,914 - mmseg - INFO - Iter [24550/80000] lr: 2.246e-06, eta: 20:30:35, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2594, decode.acc_seg: 89.1502, loss: 0.2594 2023-11-02 11:02:15,715 - mmseg - INFO - Iter [24600/80000] lr: 2.244e-06, eta: 20:29:15, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2522, decode.acc_seg: 89.8557, loss: 0.2522 2023-11-02 11:03:16,546 - mmseg - INFO - Iter [24650/80000] lr: 2.242e-06, eta: 20:27:55, time: 1.217, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2381, decode.acc_seg: 90.0890, loss: 0.2381 2023-11-02 11:04:17,310 - mmseg - INFO - Iter [24700/80000] lr: 2.240e-06, eta: 20:26:36, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2466, decode.acc_seg: 89.9941, loss: 0.2466 2023-11-02 11:05:18,059 - mmseg - INFO - Iter [24750/80000] lr: 2.238e-06, eta: 20:25:16, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2355, decode.acc_seg: 90.4934, loss: 0.2355 2023-11-02 11:06:18,875 - mmseg - INFO - Iter [24800/80000] lr: 2.235e-06, eta: 20:23:57, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2449, decode.acc_seg: 89.9318, loss: 0.2449 2023-11-02 11:07:19,705 - mmseg - INFO - Iter [24850/80000] lr: 2.233e-06, eta: 20:22:38, time: 1.217, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2459, decode.acc_seg: 90.2811, loss: 0.2459 2023-11-02 11:08:20,498 - mmseg - INFO - Iter [24900/80000] lr: 2.231e-06, eta: 20:21:19, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2488, decode.acc_seg: 89.9530, loss: 0.2488 2023-11-02 11:09:21,278 - mmseg - INFO - Iter [24950/80000] lr: 2.229e-06, eta: 20:20:00, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2519, decode.acc_seg: 89.6714, loss: 0.2519 2023-11-02 11:10:22,072 - mmseg - INFO - Saving checkpoint at 25000 iterations 2023-11-02 11:11:15,602 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 11:11:15,602 - mmseg - INFO - Iter [25000/80000] lr: 2.227e-06, eta: 20:20:39, time: 2.286, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2538, decode.acc_seg: 89.7101, loss: 0.2538 2023-11-02 11:12:20,058 - mmseg - INFO - per class results: 2023-11-02 11:12:20,063 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 80.41 | 89.3 | | building | 85.15 | 92.36 | | sky | 94.26 | 96.47 | | floor | 84.22 | 91.0 | | tree | 76.54 | 90.86 | | ceiling | 85.8 | 93.78 | | road | 85.97 | 93.34 | | bed | 91.65 | 96.75 | | windowpane | 65.26 | 80.59 | | grass | 70.36 | 91.05 | | cabinet | 66.35 | 76.43 | | sidewalk | 68.5 | 80.61 | | person | 83.09 | 92.74 | | earth | 41.0 | 51.75 | | door | 61.24 | 75.19 | | table | 68.09 | 80.73 | | mountain | 65.43 | 78.29 | | plant | 56.01 | 68.7 | | curtain | 76.63 | 87.31 | | chair | 62.26 | 72.95 | | car | 86.1 | 93.37 | | water | 60.96 | 78.03 | | painting | 76.32 | 87.74 | | sofa | 80.81 | 92.89 | | shelf | 45.64 | 63.79 | | house | 60.62 | 76.83 | | sea | 71.07 | 80.92 | | mirror | 74.37 | 84.29 | | rug | 68.0 | 82.73 | | field | 34.64 | 44.1 | | armchair | 59.61 | 70.88 | | seat | 64.83 | 88.33 | | fence | 52.07 | 69.17 | | desk | 55.41 | 72.54 | | rock | 60.11 | 83.12 | | wardrobe | 51.5 | 68.28 | | lamp | 67.16 | 74.19 | | bathtub | 87.07 | 89.62 | | railing | 44.29 | 59.72 | | cushion | 63.33 | 81.37 | | base | 37.47 | 49.31 | | box | 37.73 | 48.36 | | column | 50.25 | 65.34 | | signboard | 40.09 | 56.96 | | chest of drawers | 45.4 | 69.79 | | counter | 33.02 | 42.05 | | sand | 51.15 | 74.68 | | sink | 78.06 | 84.43 | | skyscraper | 51.69 | 67.34 | | fireplace | 71.74 | 90.3 | | refrigerator | 86.15 | 94.97 | | grandstand | 50.04 | 85.1 | | path | 27.14 | 33.04 | | stairs | 30.15 | 38.31 | | runway | 70.69 | 93.13 | | case | 59.71 | 70.29 | | pool table | 93.76 | 97.36 | | pillow | 58.26 | 65.59 | | screen door | 83.03 | 86.27 | | stairway | 44.15 | 60.53 | | river | 13.91 | 28.82 | | bridge | 75.27 | 89.07 | | bookcase | 38.2 | 53.83 | | blind | 36.43 | 40.63 | | coffee table | 65.08 | 85.92 | | toilet | 88.98 | 92.31 | | flower | 38.56 | 57.43 | | book | 48.02 | 73.69 | | hill | 14.94 | 23.97 | | bench | 53.79 | 59.25 | | countertop | 64.42 | 75.14 | | stove | 83.34 | 91.73 | | palm | 52.56 | 75.67 | | kitchen island | 50.98 | 82.89 | | computer | 78.34 | 89.31 | | swivel chair | 50.79 | 73.84 | | boat | 69.4 | 84.83 | | bar | 59.87 | 89.31 | | arcade machine | 74.81 | 78.19 | | hovel | 37.04 | 41.16 | | bus | 92.72 | 96.35 | | towel | 71.96 | 79.88 | | light | 49.69 | 64.71 | | truck | 49.02 | 66.23 | | tower | 26.61 | 44.8 | | chandelier | 66.35 | 81.16 | | awning | 38.69 | 53.84 | | streetlight | 28.29 | 38.26 | | booth | 54.96 | 67.06 | | television receiver | 74.6 | 88.16 | | airplane | 81.26 | 90.87 | | dirt track | 23.85 | 35.56 | | apparel | 53.64 | 80.79 | | pole | 18.5 | 25.21 | | land | 3.43 | 6.18 | | bannister | 14.62 | 20.18 | | escalator | 61.95 | 76.74 | | ottoman | 55.8 | 76.39 | | bottle | 41.78 | 62.12 | | buffet | 58.27 | 68.04 | | poster | 34.83 | 52.91 | | stage | 22.1 | 57.68 | | van | 49.48 | 65.79 | | ship | 72.41 | 79.48 | | fountain | 29.88 | 29.96 | | conveyer belt | 75.65 | 95.89 | | canopy | 49.17 | 64.2 | | washer | 86.02 | 91.3 | | plaything | 30.73 | 46.7 | | swimming pool | 56.15 | 82.13 | | stool | 50.12 | 63.33 | | barrel | 53.11 | 76.38 | | basket | 41.42 | 58.42 | | waterfall | 50.25 | 57.17 | | tent | 95.28 | 98.04 | | bag | 25.72 | 30.12 | | minibike | 72.49 | 86.7 | | cradle | 84.74 | 97.47 | | oven | 63.58 | 77.24 | | ball | 57.23 | 66.37 | | food | 64.97 | 72.58 | | step | 16.77 | 19.58 | | tank | 63.27 | 65.75 | | trade name | 29.33 | 35.85 | | microwave | 89.54 | 93.94 | | pot | 54.92 | 61.94 | | animal | 75.12 | 77.59 | | bicycle | 59.41 | 76.77 | | lake | 60.9 | 63.64 | | dishwasher | 75.33 | 81.86 | | screen | 63.72 | 92.93 | | blanket | 23.34 | 27.02 | | sculpture | 72.38 | 83.8 | | hood | 59.41 | 73.2 | | sconce | 53.58 | 62.53 | | vase | 44.41 | 56.0 | | traffic light | 33.83 | 60.79 | | tray | 18.71 | 27.15 | | ashcan | 47.87 | 65.27 | | fan | 62.44 | 79.82 | | pier | 35.2 | 47.32 | | crt screen | 6.97 | 12.02 | | plate | 55.74 | 78.06 | | monitor | 38.9 | 47.57 | | bulletin board | 52.6 | 58.59 | | shower | 4.72 | 4.91 | | radiator | 61.48 | 76.02 | | glass | 17.99 | 18.88 | | clock | 48.45 | 56.27 | | flag | 62.59 | 71.64 | +---------------------+-------+-------+ 2023-11-02 11:12:20,063 - mmseg - INFO - Summary: 2023-11-02 11:12:20,064 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 85.69 | 56.31 | 68.88 | +-------+-------+-------+ 2023-11-02 11:12:20,064 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 11:12:20,064 - mmseg - INFO - Iter(val) [250] aAcc: 0.8569, mIoU: 0.5631, mAcc: 0.6888, IoU.wall: 0.8041, IoU.building: 0.8515, IoU.sky: 0.9426, IoU.floor: 0.8422, IoU.tree: 0.7654, IoU.ceiling: 0.8580, IoU.road: 0.8597, IoU.bed : 0.9165, IoU.windowpane: 0.6526, IoU.grass: 0.7036, IoU.cabinet: 0.6635, IoU.sidewalk: 0.6850, IoU.person: 0.8309, IoU.earth: 0.4100, IoU.door: 0.6124, IoU.table: 0.6809, IoU.mountain: 0.6543, IoU.plant: 0.5601, IoU.curtain: 0.7663, IoU.chair: 0.6226, IoU.car: 0.8610, IoU.water: 0.6096, IoU.painting: 0.7632, IoU.sofa: 0.8081, IoU.shelf: 0.4564, IoU.house: 0.6062, IoU.sea: 0.7107, IoU.mirror: 0.7437, IoU.rug: 0.6800, IoU.field: 0.3464, IoU.armchair: 0.5961, IoU.seat: 0.6483, IoU.fence: 0.5207, IoU.desk: 0.5541, IoU.rock: 0.6011, IoU.wardrobe: 0.5150, IoU.lamp: 0.6716, IoU.bathtub: 0.8707, IoU.railing: 0.4429, IoU.cushion: 0.6333, IoU.base: 0.3747, IoU.box: 0.3773, IoU.column: 0.5025, IoU.signboard: 0.4009, IoU.chest of drawers: 0.4540, IoU.counter: 0.3302, IoU.sand: 0.5115, IoU.sink: 0.7806, IoU.skyscraper: 0.5169, IoU.fireplace: 0.7174, IoU.refrigerator: 0.8615, IoU.grandstand: 0.5004, IoU.path: 0.2714, IoU.stairs: 0.3015, IoU.runway: 0.7069, IoU.case: 0.5971, IoU.pool table: 0.9376, IoU.pillow: 0.5826, IoU.screen door: 0.8303, IoU.stairway: 0.4415, IoU.river: 0.1391, IoU.bridge: 0.7527, IoU.bookcase: 0.3820, IoU.blind: 0.3643, IoU.coffee table: 0.6508, IoU.toilet: 0.8898, IoU.flower: 0.3856, IoU.book: 0.4802, IoU.hill: 0.1494, IoU.bench: 0.5379, IoU.countertop: 0.6442, IoU.stove: 0.8334, IoU.palm: 0.5256, IoU.kitchen island: 0.5098, IoU.computer: 0.7834, IoU.swivel chair: 0.5079, IoU.boat: 0.6940, IoU.bar: 0.5987, IoU.arcade machine: 0.7481, IoU.hovel: 0.3704, IoU.bus: 0.9272, IoU.towel: 0.7196, IoU.light: 0.4969, IoU.truck: 0.4902, IoU.tower: 0.2661, IoU.chandelier: 0.6635, IoU.awning: 0.3869, IoU.streetlight: 0.2829, IoU.booth: 0.5496, IoU.television receiver: 0.7460, IoU.airplane: 0.8126, IoU.dirt track: 0.2385, IoU.apparel: 0.5364, IoU.pole: 0.1850, IoU.land: 0.0343, IoU.bannister: 0.1462, IoU.escalator: 0.6195, IoU.ottoman: 0.5580, IoU.bottle: 0.4178, IoU.buffet: 0.5827, IoU.poster: 0.3483, IoU.stage: 0.2210, IoU.van: 0.4948, IoU.ship: 0.7241, IoU.fountain: 0.2988, IoU.conveyer belt: 0.7565, IoU.canopy: 0.4917, IoU.washer: 0.8602, IoU.plaything: 0.3073, IoU.swimming pool: 0.5615, IoU.stool: 0.5012, IoU.barrel: 0.5311, IoU.basket: 0.4142, IoU.waterfall: 0.5025, IoU.tent: 0.9528, IoU.bag: 0.2572, IoU.minibike: 0.7249, IoU.cradle: 0.8474, IoU.oven: 0.6358, IoU.ball: 0.5723, IoU.food: 0.6497, IoU.step: 0.1677, IoU.tank: 0.6327, IoU.trade name: 0.2933, IoU.microwave: 0.8954, IoU.pot: 0.5492, IoU.animal: 0.7512, IoU.bicycle: 0.5941, IoU.lake: 0.6090, IoU.dishwasher: 0.7533, IoU.screen: 0.6372, IoU.blanket: 0.2334, IoU.sculpture: 0.7238, IoU.hood: 0.5941, IoU.sconce: 0.5358, IoU.vase: 0.4441, IoU.traffic light: 0.3383, IoU.tray: 0.1871, IoU.ashcan: 0.4787, IoU.fan: 0.6244, IoU.pier: 0.3520, IoU.crt screen: 0.0697, IoU.plate: 0.5574, IoU.monitor: 0.3890, IoU.bulletin board: 0.5260, IoU.shower: 0.0472, IoU.radiator: 0.6148, IoU.glass: 0.1799, IoU.clock: 0.4845, IoU.flag: 0.6259, Acc.wall: 0.8930, Acc.building: 0.9236, Acc.sky: 0.9647, Acc.floor: 0.9100, Acc.tree: 0.9086, Acc.ceiling: 0.9378, Acc.road: 0.9334, Acc.bed : 0.9675, Acc.windowpane: 0.8059, Acc.grass: 0.9105, Acc.cabinet: 0.7643, Acc.sidewalk: 0.8061, Acc.person: 0.9274, Acc.earth: 0.5175, Acc.door: 0.7519, Acc.table: 0.8073, Acc.mountain: 0.7829, Acc.plant: 0.6870, Acc.curtain: 0.8731, Acc.chair: 0.7295, Acc.car: 0.9337, Acc.water: 0.7803, Acc.painting: 0.8774, Acc.sofa: 0.9289, Acc.shelf: 0.6379, Acc.house: 0.7683, Acc.sea: 0.8092, Acc.mirror: 0.8429, Acc.rug: 0.8273, Acc.field: 0.4410, Acc.armchair: 0.7088, Acc.seat: 0.8833, Acc.fence: 0.6917, Acc.desk: 0.7254, Acc.rock: 0.8312, Acc.wardrobe: 0.6828, Acc.lamp: 0.7419, Acc.bathtub: 0.8962, Acc.railing: 0.5972, Acc.cushion: 0.8137, Acc.base: 0.4931, Acc.box: 0.4836, Acc.column: 0.6534, Acc.signboard: 0.5696, Acc.chest of drawers: 0.6979, Acc.counter: 0.4205, Acc.sand: 0.7468, Acc.sink: 0.8443, Acc.skyscraper: 0.6734, Acc.fireplace: 0.9030, Acc.refrigerator: 0.9497, Acc.grandstand: 0.8510, Acc.path: 0.3304, Acc.stairs: 0.3831, Acc.runway: 0.9313, Acc.case: 0.7029, Acc.pool table: 0.9736, Acc.pillow: 0.6559, Acc.screen door: 0.8627, Acc.stairway: 0.6053, Acc.river: 0.2882, Acc.bridge: 0.8907, Acc.bookcase: 0.5383, Acc.blind: 0.4063, Acc.coffee table: 0.8592, Acc.toilet: 0.9231, Acc.flower: 0.5743, Acc.book: 0.7369, Acc.hill: 0.2397, Acc.bench: 0.5925, Acc.countertop: 0.7514, Acc.stove: 0.9173, Acc.palm: 0.7567, Acc.kitchen island: 0.8289, Acc.computer: 0.8931, Acc.swivel chair: 0.7384, Acc.boat: 0.8483, Acc.bar: 0.8931, Acc.arcade machine: 0.7819, Acc.hovel: 0.4116, Acc.bus: 0.9635, Acc.towel: 0.7988, Acc.light: 0.6471, Acc.truck: 0.6623, Acc.tower: 0.4480, Acc.chandelier: 0.8116, Acc.awning: 0.5384, Acc.streetlight: 0.3826, Acc.booth: 0.6706, Acc.television receiver: 0.8816, Acc.airplane: 0.9087, Acc.dirt track: 0.3556, Acc.apparel: 0.8079, Acc.pole: 0.2521, Acc.land: 0.0618, Acc.bannister: 0.2018, Acc.escalator: 0.7674, Acc.ottoman: 0.7639, Acc.bottle: 0.6212, Acc.buffet: 0.6804, Acc.poster: 0.5291, Acc.stage: 0.5768, Acc.van: 0.6579, Acc.ship: 0.7948, Acc.fountain: 0.2996, Acc.conveyer belt: 0.9589, Acc.canopy: 0.6420, Acc.washer: 0.9130, Acc.plaything: 0.4670, Acc.swimming pool: 0.8213, Acc.stool: 0.6333, Acc.barrel: 0.7638, Acc.basket: 0.5842, Acc.waterfall: 0.5717, Acc.tent: 0.9804, Acc.bag: 0.3012, Acc.minibike: 0.8670, Acc.cradle: 0.9747, Acc.oven: 0.7724, Acc.ball: 0.6637, Acc.food: 0.7258, Acc.step: 0.1958, Acc.tank: 0.6575, Acc.trade name: 0.3585, Acc.microwave: 0.9394, Acc.pot: 0.6194, Acc.animal: 0.7759, Acc.bicycle: 0.7677, Acc.lake: 0.6364, Acc.dishwasher: 0.8186, Acc.screen: 0.9293, Acc.blanket: 0.2702, Acc.sculpture: 0.8380, Acc.hood: 0.7320, Acc.sconce: 0.6253, Acc.vase: 0.5600, Acc.traffic light: 0.6079, Acc.tray: 0.2715, Acc.ashcan: 0.6527, Acc.fan: 0.7982, Acc.pier: 0.4732, Acc.crt screen: 0.1202, Acc.plate: 0.7806, Acc.monitor: 0.4757, Acc.bulletin board: 0.5859, Acc.shower: 0.0491, Acc.radiator: 0.7602, Acc.glass: 0.1888, Acc.clock: 0.5627, Acc.flag: 0.7164 2023-11-02 11:13:20,925 - mmseg - INFO - Iter [25050/80000] lr: 2.225e-06, eta: 20:21:41, time: 2.506, data_time: 1.296, memory: 38534, decode.loss_ce: 0.2437, decode.acc_seg: 90.2354, loss: 0.2437 2023-11-02 11:14:21,742 - mmseg - INFO - Iter [25100/80000] lr: 2.223e-06, eta: 20:20:21, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2360, decode.acc_seg: 90.2354, loss: 0.2360 2023-11-02 11:15:22,549 - mmseg - INFO - Iter [25150/80000] lr: 2.221e-06, eta: 20:19:02, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2397, decode.acc_seg: 89.9052, loss: 0.2397 2023-11-02 11:16:23,366 - mmseg - INFO - Iter [25200/80000] lr: 2.219e-06, eta: 20:17:42, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2573, decode.acc_seg: 90.0345, loss: 0.2573 2023-11-02 11:17:24,142 - mmseg - INFO - Iter [25250/80000] lr: 2.217e-06, eta: 20:16:23, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2642, decode.acc_seg: 89.3756, loss: 0.2642 2023-11-02 11:18:27,333 - mmseg - INFO - Iter [25300/80000] lr: 2.215e-06, eta: 20:15:09, time: 1.264, data_time: 0.054, memory: 38534, decode.loss_ce: 0.2424, decode.acc_seg: 89.9812, loss: 0.2424 2023-11-02 11:19:28,162 - mmseg - INFO - Iter [25350/80000] lr: 2.213e-06, eta: 20:13:50, time: 1.217, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2293, decode.acc_seg: 90.6940, loss: 0.2293 2023-11-02 11:20:28,971 - mmseg - INFO - Iter [25400/80000] lr: 2.211e-06, eta: 20:12:30, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2348, decode.acc_seg: 90.1146, loss: 0.2348 2023-11-02 11:21:29,754 - mmseg - INFO - Iter [25450/80000] lr: 2.209e-06, eta: 20:11:11, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2448, decode.acc_seg: 90.0145, loss: 0.2448 2023-11-02 11:22:30,515 - mmseg - INFO - Iter [25500/80000] lr: 2.207e-06, eta: 20:09:52, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2537, decode.acc_seg: 89.8751, loss: 0.2537 2023-11-02 11:23:31,269 - mmseg - INFO - Iter [25550/80000] lr: 2.205e-06, eta: 20:08:33, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2366, decode.acc_seg: 90.4344, loss: 0.2366 2023-11-02 11:24:32,060 - mmseg - INFO - Iter [25600/80000] lr: 2.203e-06, eta: 20:07:14, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2367, decode.acc_seg: 90.4268, loss: 0.2367 2023-11-02 11:25:32,889 - mmseg - INFO - Iter [25650/80000] lr: 2.201e-06, eta: 20:05:55, time: 1.217, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2369, decode.acc_seg: 90.4140, loss: 0.2369 2023-11-02 11:26:33,655 - mmseg - INFO - Iter [25700/80000] lr: 2.199e-06, eta: 20:04:37, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2446, decode.acc_seg: 90.1439, loss: 0.2446 2023-11-02 11:27:34,451 - mmseg - INFO - Iter [25750/80000] lr: 2.197e-06, eta: 20:03:18, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2348, decode.acc_seg: 90.2922, loss: 0.2348 2023-11-02 11:28:35,192 - mmseg - INFO - Iter [25800/80000] lr: 2.195e-06, eta: 20:01:59, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2341, decode.acc_seg: 90.6427, loss: 0.2341 2023-11-02 11:29:35,956 - mmseg - INFO - Iter [25850/80000] lr: 2.193e-06, eta: 20:00:41, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2412, decode.acc_seg: 89.9297, loss: 0.2412 2023-11-02 11:30:36,746 - mmseg - INFO - Iter [25900/80000] lr: 2.191e-06, eta: 19:59:22, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2396, decode.acc_seg: 90.1846, loss: 0.2396 2023-11-02 11:31:37,515 - mmseg - INFO - Iter [25950/80000] lr: 2.189e-06, eta: 19:58:04, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2435, decode.acc_seg: 90.0919, loss: 0.2435 2023-11-02 11:32:38,275 - mmseg - INFO - Saving checkpoint at 26000 iterations 2023-11-02 11:33:33,557 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 11:33:33,557 - mmseg - INFO - Iter [26000/80000] lr: 2.187e-06, eta: 19:58:40, time: 2.321, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2436, decode.acc_seg: 90.0163, loss: 0.2436 2023-11-02 11:34:31,582 - mmseg - INFO - per class results: 2023-11-02 11:34:31,587 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 80.21 | 88.74 | | building | 84.61 | 93.53 | | sky | 94.39 | 97.21 | | floor | 83.77 | 91.72 | | tree | 76.32 | 89.6 | | ceiling | 84.75 | 89.46 | | road | 85.35 | 89.86 | | bed | 91.64 | 97.12 | | windowpane | 65.3 | 78.26 | | grass | 69.75 | 82.05 | | cabinet | 65.85 | 77.57 | | sidewalk | 69.29 | 86.95 | | person | 83.11 | 92.19 | | earth | 39.04 | 49.16 | | door | 59.65 | 81.0 | | table | 67.6 | 80.01 | | mountain | 62.46 | 74.68 | | plant | 55.89 | 68.43 | | curtain | 76.14 | 88.61 | | chair | 63.03 | 77.93 | | car | 85.99 | 93.17 | | water | 62.51 | 80.47 | | painting | 77.34 | 89.55 | | sofa | 81.25 | 91.81 | | shelf | 47.62 | 63.13 | | house | 51.67 | 67.43 | | sea | 73.17 | 91.0 | | mirror | 74.74 | 83.16 | | rug | 64.25 | 73.21 | | field | 31.77 | 58.47 | | armchair | 59.42 | 68.66 | | seat | 62.61 | 87.31 | | fence | 52.03 | 64.09 | | desk | 56.96 | 73.15 | | rock | 52.83 | 72.23 | | wardrobe | 54.25 | 75.75 | | lamp | 68.74 | 83.25 | | bathtub | 85.82 | 88.61 | | railing | 43.02 | 66.02 | | cushion | 65.21 | 81.7 | | base | 38.24 | 54.73 | | box | 37.57 | 47.72 | | column | 48.58 | 60.06 | | signboard | 39.66 | 52.24 | | chest of drawers | 41.52 | 61.77 | | counter | 44.34 | 60.31 | | sand | 62.94 | 85.37 | | sink | 79.67 | 88.96 | | skyscraper | 50.18 | 62.52 | | fireplace | 70.73 | 94.53 | | refrigerator | 85.27 | 92.72 | | grandstand | 62.76 | 80.41 | | path | 31.95 | 41.66 | | stairs | 22.98 | 26.92 | | runway | 74.44 | 97.21 | | case | 61.66 | 80.49 | | pool table | 93.88 | 97.92 | | pillow | 61.19 | 71.27 | | screen door | 69.6 | 73.37 | | stairway | 38.13 | 67.59 | | river | 16.39 | 19.24 | | bridge | 67.58 | 75.24 | | bookcase | 44.15 | 53.07 | | blind | 39.12 | 45.09 | | coffee table | 59.14 | 88.17 | | toilet | 89.96 | 94.6 | | flower | 42.49 | 53.44 | | book | 51.58 | 74.06 | | hill | 12.39 | 27.23 | | bench | 53.93 | 61.77 | | countertop | 61.54 | 79.86 | | stove | 84.18 | 90.68 | | palm | 53.86 | 81.32 | | kitchen island | 46.87 | 71.13 | | computer | 78.69 | 89.47 | | swivel chair | 52.52 | 81.88 | | boat | 58.13 | 69.05 | | bar | 62.95 | 81.11 | | arcade machine | 85.26 | 90.24 | | hovel | 47.2 | 50.87 | | bus | 92.23 | 96.07 | | towel | 76.1 | 86.51 | | light | 48.89 | 60.58 | | truck | 46.41 | 58.31 | | tower | 30.72 | 62.87 | | chandelier | 68.9 | 85.31 | | awning | 34.05 | 45.31 | | streetlight | 27.43 | 36.43 | | booth | 48.87 | 78.92 | | television receiver | 78.2 | 90.99 | | airplane | 76.29 | 84.86 | | dirt track | 16.46 | 26.79 | | apparel | 48.76 | 63.73 | | pole | 22.62 | 30.59 | | land | 3.72 | 4.98 | | bannister | 16.06 | 21.94 | | escalator | 64.55 | 81.73 | | ottoman | 51.19 | 76.08 | | bottle | 39.98 | 64.83 | | buffet | 59.7 | 69.39 | | poster | 30.66 | 40.95 | | stage | 21.27 | 48.41 | | van | 47.56 | 73.43 | | ship | 58.71 | 77.01 | | fountain | 38.33 | 38.89 | | conveyer belt | 78.24 | 96.78 | | canopy | 48.14 | 56.99 | | washer | 86.54 | 91.43 | | plaything | 30.64 | 53.68 | | swimming pool | 62.1 | 73.85 | | stool | 53.05 | 67.01 | | barrel | 48.37 | 78.46 | | basket | 38.36 | 52.33 | | waterfall | 53.38 | 64.6 | | tent | 96.56 | 97.6 | | bag | 20.61 | 22.6 | | minibike | 70.79 | 92.28 | | cradle | 83.36 | 98.65 | | oven | 63.17 | 76.28 | | ball | 56.14 | 62.81 | | food | 61.77 | 67.36 | | step | 13.21 | 15.05 | | tank | 62.15 | 65.39 | | trade name | 33.81 | 42.4 | | microwave | 89.17 | 94.49 | | pot | 58.55 | 68.92 | | animal | 71.82 | 75.71 | | bicycle | 60.92 | 79.81 | | lake | 62.78 | 63.25 | | dishwasher | 77.14 | 81.86 | | screen | 56.27 | 85.49 | | blanket | 29.82 | 33.4 | | sculpture | 63.99 | 82.5 | | hood | 59.34 | 69.21 | | sconce | 56.73 | 68.63 | | vase | 44.24 | 64.04 | | traffic light | 34.46 | 57.88 | | tray | 18.33 | 21.61 | | ashcan | 48.29 | 67.3 | | fan | 64.1 | 81.01 | | pier | 39.41 | 43.11 | | crt screen | 4.6 | 12.35 | | plate | 58.35 | 74.64 | | monitor | 14.92 | 16.33 | | bulletin board | 57.46 | 74.29 | | shower | 7.46 | 8.05 | | radiator | 63.7 | 81.13 | | glass | 18.52 | 19.56 | | clock | 47.37 | 54.41 | | flag | 60.18 | 67.41 | +---------------------+-------+-------+ 2023-11-02 11:34:31,587 - mmseg - INFO - Summary: 2023-11-02 11:34:31,588 - mmseg - INFO - +------+-------+-------+ | aAcc | mIoU | mAcc | +------+-------+-------+ | 85.4 | 56.06 | 68.86 | +------+-------+-------+ 2023-11-02 11:34:31,588 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 11:34:31,589 - mmseg - INFO - Iter(val) [250] aAcc: 0.8540, mIoU: 0.5606, mAcc: 0.6886, IoU.wall: 0.8021, IoU.building: 0.8461, IoU.sky: 0.9439, IoU.floor: 0.8377, IoU.tree: 0.7632, IoU.ceiling: 0.8475, IoU.road: 0.8535, IoU.bed : 0.9164, IoU.windowpane: 0.6530, IoU.grass: 0.6975, IoU.cabinet: 0.6585, IoU.sidewalk: 0.6929, IoU.person: 0.8311, IoU.earth: 0.3904, IoU.door: 0.5965, IoU.table: 0.6760, IoU.mountain: 0.6246, IoU.plant: 0.5589, IoU.curtain: 0.7614, IoU.chair: 0.6303, IoU.car: 0.8599, IoU.water: 0.6251, IoU.painting: 0.7734, IoU.sofa: 0.8125, IoU.shelf: 0.4762, IoU.house: 0.5167, IoU.sea: 0.7317, IoU.mirror: 0.7474, IoU.rug: 0.6425, IoU.field: 0.3177, IoU.armchair: 0.5942, IoU.seat: 0.6261, IoU.fence: 0.5203, IoU.desk: 0.5696, IoU.rock: 0.5283, IoU.wardrobe: 0.5425, IoU.lamp: 0.6874, IoU.bathtub: 0.8582, IoU.railing: 0.4302, IoU.cushion: 0.6521, IoU.base: 0.3824, IoU.box: 0.3757, IoU.column: 0.4858, IoU.signboard: 0.3966, IoU.chest of drawers: 0.4152, IoU.counter: 0.4434, IoU.sand: 0.6294, IoU.sink: 0.7967, IoU.skyscraper: 0.5018, IoU.fireplace: 0.7073, IoU.refrigerator: 0.8527, IoU.grandstand: 0.6276, IoU.path: 0.3195, IoU.stairs: 0.2298, IoU.runway: 0.7444, IoU.case: 0.6166, IoU.pool table: 0.9388, IoU.pillow: 0.6119, IoU.screen door: 0.6960, IoU.stairway: 0.3813, IoU.river: 0.1639, IoU.bridge: 0.6758, IoU.bookcase: 0.4415, IoU.blind: 0.3912, IoU.coffee table: 0.5914, IoU.toilet: 0.8996, IoU.flower: 0.4249, IoU.book: 0.5158, IoU.hill: 0.1239, IoU.bench: 0.5393, IoU.countertop: 0.6154, IoU.stove: 0.8418, IoU.palm: 0.5386, IoU.kitchen island: 0.4687, IoU.computer: 0.7869, IoU.swivel chair: 0.5252, IoU.boat: 0.5813, IoU.bar: 0.6295, IoU.arcade machine: 0.8526, IoU.hovel: 0.4720, IoU.bus: 0.9223, IoU.towel: 0.7610, IoU.light: 0.4889, IoU.truck: 0.4641, IoU.tower: 0.3072, IoU.chandelier: 0.6890, IoU.awning: 0.3405, IoU.streetlight: 0.2743, IoU.booth: 0.4887, IoU.television receiver: 0.7820, IoU.airplane: 0.7629, IoU.dirt track: 0.1646, IoU.apparel: 0.4876, IoU.pole: 0.2262, IoU.land: 0.0372, IoU.bannister: 0.1606, IoU.escalator: 0.6455, IoU.ottoman: 0.5119, IoU.bottle: 0.3998, IoU.buffet: 0.5970, IoU.poster: 0.3066, IoU.stage: 0.2127, IoU.van: 0.4756, IoU.ship: 0.5871, IoU.fountain: 0.3833, IoU.conveyer belt: 0.7824, IoU.canopy: 0.4814, IoU.washer: 0.8654, IoU.plaything: 0.3064, IoU.swimming pool: 0.6210, IoU.stool: 0.5305, IoU.barrel: 0.4837, IoU.basket: 0.3836, IoU.waterfall: 0.5338, IoU.tent: 0.9656, IoU.bag: 0.2061, IoU.minibike: 0.7079, IoU.cradle: 0.8336, IoU.oven: 0.6317, IoU.ball: 0.5614, IoU.food: 0.6177, IoU.step: 0.1321, IoU.tank: 0.6215, IoU.trade name: 0.3381, IoU.microwave: 0.8917, IoU.pot: 0.5855, IoU.animal: 0.7182, IoU.bicycle: 0.6092, IoU.lake: 0.6278, IoU.dishwasher: 0.7714, IoU.screen: 0.5627, IoU.blanket: 0.2982, IoU.sculpture: 0.6399, IoU.hood: 0.5934, IoU.sconce: 0.5673, IoU.vase: 0.4424, IoU.traffic light: 0.3446, IoU.tray: 0.1833, IoU.ashcan: 0.4829, IoU.fan: 0.6410, IoU.pier: 0.3941, IoU.crt screen: 0.0460, IoU.plate: 0.5835, IoU.monitor: 0.1492, IoU.bulletin board: 0.5746, IoU.shower: 0.0746, IoU.radiator: 0.6370, IoU.glass: 0.1852, IoU.clock: 0.4737, IoU.flag: 0.6018, Acc.wall: 0.8874, Acc.building: 0.9353, Acc.sky: 0.9721, Acc.floor: 0.9172, Acc.tree: 0.8960, Acc.ceiling: 0.8946, Acc.road: 0.8986, Acc.bed : 0.9712, Acc.windowpane: 0.7826, Acc.grass: 0.8205, Acc.cabinet: 0.7757, Acc.sidewalk: 0.8695, Acc.person: 0.9219, Acc.earth: 0.4916, Acc.door: 0.8100, Acc.table: 0.8001, Acc.mountain: 0.7468, Acc.plant: 0.6843, Acc.curtain: 0.8861, Acc.chair: 0.7793, Acc.car: 0.9317, Acc.water: 0.8047, Acc.painting: 0.8955, Acc.sofa: 0.9181, Acc.shelf: 0.6313, Acc.house: 0.6743, Acc.sea: 0.9100, Acc.mirror: 0.8316, Acc.rug: 0.7321, Acc.field: 0.5847, Acc.armchair: 0.6866, Acc.seat: 0.8731, Acc.fence: 0.6409, Acc.desk: 0.7315, Acc.rock: 0.7223, Acc.wardrobe: 0.7575, Acc.lamp: 0.8325, Acc.bathtub: 0.8861, Acc.railing: 0.6602, Acc.cushion: 0.8170, Acc.base: 0.5473, Acc.box: 0.4772, Acc.column: 0.6006, Acc.signboard: 0.5224, Acc.chest of drawers: 0.6177, Acc.counter: 0.6031, Acc.sand: 0.8537, Acc.sink: 0.8896, Acc.skyscraper: 0.6252, Acc.fireplace: 0.9453, Acc.refrigerator: 0.9272, Acc.grandstand: 0.8041, Acc.path: 0.4166, Acc.stairs: 0.2692, Acc.runway: 0.9721, Acc.case: 0.8049, Acc.pool table: 0.9792, Acc.pillow: 0.7127, Acc.screen door: 0.7337, Acc.stairway: 0.6759, Acc.river: 0.1924, Acc.bridge: 0.7524, Acc.bookcase: 0.5307, Acc.blind: 0.4509, Acc.coffee table: 0.8817, Acc.toilet: 0.9460, Acc.flower: 0.5344, Acc.book: 0.7406, Acc.hill: 0.2723, Acc.bench: 0.6177, Acc.countertop: 0.7986, Acc.stove: 0.9068, Acc.palm: 0.8132, Acc.kitchen island: 0.7113, Acc.computer: 0.8947, Acc.swivel chair: 0.8188, Acc.boat: 0.6905, Acc.bar: 0.8111, Acc.arcade machine: 0.9024, Acc.hovel: 0.5087, Acc.bus: 0.9607, Acc.towel: 0.8651, Acc.light: 0.6058, Acc.truck: 0.5831, Acc.tower: 0.6287, Acc.chandelier: 0.8531, Acc.awning: 0.4531, Acc.streetlight: 0.3643, Acc.booth: 0.7892, Acc.television receiver: 0.9099, Acc.airplane: 0.8486, Acc.dirt track: 0.2679, Acc.apparel: 0.6373, Acc.pole: 0.3059, Acc.land: 0.0498, Acc.bannister: 0.2194, Acc.escalator: 0.8173, Acc.ottoman: 0.7608, Acc.bottle: 0.6483, Acc.buffet: 0.6939, Acc.poster: 0.4095, Acc.stage: 0.4841, Acc.van: 0.7343, Acc.ship: 0.7701, Acc.fountain: 0.3889, Acc.conveyer belt: 0.9678, Acc.canopy: 0.5699, Acc.washer: 0.9143, Acc.plaything: 0.5368, Acc.swimming pool: 0.7385, Acc.stool: 0.6701, Acc.barrel: 0.7846, Acc.basket: 0.5233, Acc.waterfall: 0.6460, Acc.tent: 0.9760, Acc.bag: 0.2260, Acc.minibike: 0.9228, Acc.cradle: 0.9865, Acc.oven: 0.7628, Acc.ball: 0.6281, Acc.food: 0.6736, Acc.step: 0.1505, Acc.tank: 0.6539, Acc.trade name: 0.4240, Acc.microwave: 0.9449, Acc.pot: 0.6892, Acc.animal: 0.7571, Acc.bicycle: 0.7981, Acc.lake: 0.6325, Acc.dishwasher: 0.8186, Acc.screen: 0.8549, Acc.blanket: 0.3340, Acc.sculpture: 0.8250, Acc.hood: 0.6921, Acc.sconce: 0.6863, Acc.vase: 0.6404, Acc.traffic light: 0.5788, Acc.tray: 0.2161, Acc.ashcan: 0.6730, Acc.fan: 0.8101, Acc.pier: 0.4311, Acc.crt screen: 0.1235, Acc.plate: 0.7464, Acc.monitor: 0.1633, Acc.bulletin board: 0.7429, Acc.shower: 0.0805, Acc.radiator: 0.8113, Acc.glass: 0.1956, Acc.clock: 0.5441, Acc.flag: 0.6741 2023-11-02 11:35:32,490 - mmseg - INFO - Iter [26050/80000] lr: 2.185e-06, eta: 19:59:22, time: 2.379, data_time: 1.168, memory: 38534, decode.loss_ce: 0.2413, decode.acc_seg: 90.3180, loss: 0.2413 2023-11-02 11:36:33,278 - mmseg - INFO - Iter [26100/80000] lr: 2.183e-06, eta: 19:58:03, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2354, decode.acc_seg: 90.1719, loss: 0.2354 2023-11-02 11:37:34,086 - mmseg - INFO - Iter [26150/80000] lr: 2.181e-06, eta: 19:56:44, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2384, decode.acc_seg: 90.3457, loss: 0.2384 2023-11-02 11:38:34,902 - mmseg - INFO - Iter [26200/80000] lr: 2.179e-06, eta: 19:55:26, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2328, decode.acc_seg: 90.6535, loss: 0.2328 2023-11-02 11:39:35,697 - mmseg - INFO - Iter [26250/80000] lr: 2.177e-06, eta: 19:54:07, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2485, decode.acc_seg: 89.8081, loss: 0.2485 2023-11-02 11:40:36,506 - mmseg - INFO - Iter [26300/80000] lr: 2.175e-06, eta: 19:52:48, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2580, decode.acc_seg: 89.8350, loss: 0.2580 2023-11-02 11:41:37,299 - mmseg - INFO - Iter [26350/80000] lr: 2.173e-06, eta: 19:51:30, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2379, decode.acc_seg: 90.3218, loss: 0.2379 2023-11-02 11:42:38,098 - mmseg - INFO - Iter [26400/80000] lr: 2.171e-06, eta: 19:50:11, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2433, decode.acc_seg: 90.0198, loss: 0.2433 2023-11-02 11:43:38,913 - mmseg - INFO - Iter [26450/80000] lr: 2.169e-06, eta: 19:48:53, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2348, decode.acc_seg: 90.5034, loss: 0.2348 2023-11-02 11:44:39,668 - mmseg - INFO - Iter [26500/80000] lr: 2.167e-06, eta: 19:47:35, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2267, decode.acc_seg: 90.8737, loss: 0.2267 2023-11-02 11:45:42,716 - mmseg - INFO - Iter [26550/80000] lr: 2.165e-06, eta: 19:46:21, time: 1.261, data_time: 0.052, memory: 38534, decode.loss_ce: 0.2313, decode.acc_seg: 90.7131, loss: 0.2313 2023-11-02 11:46:43,505 - mmseg - INFO - Iter [26600/80000] lr: 2.163e-06, eta: 19:45:03, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2226, decode.acc_seg: 90.7537, loss: 0.2226 2023-11-02 11:47:44,307 - mmseg - INFO - Iter [26650/80000] lr: 2.161e-06, eta: 19:43:44, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2241, decode.acc_seg: 90.8140, loss: 0.2241 2023-11-02 11:48:45,082 - mmseg - INFO - Iter [26700/80000] lr: 2.159e-06, eta: 19:42:26, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2236, decode.acc_seg: 90.6893, loss: 0.2236 2023-11-02 11:49:45,905 - mmseg - INFO - Iter [26750/80000] lr: 2.157e-06, eta: 19:41:08, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2345, decode.acc_seg: 90.3761, loss: 0.2345 2023-11-02 11:50:46,672 - mmseg - INFO - Iter [26800/80000] lr: 2.154e-06, eta: 19:39:50, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2305, decode.acc_seg: 90.8032, loss: 0.2305 2023-11-02 11:51:47,426 - mmseg - INFO - Iter [26850/80000] lr: 2.152e-06, eta: 19:38:32, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2336, decode.acc_seg: 90.4758, loss: 0.2336 2023-11-02 11:52:48,202 - mmseg - INFO - Iter [26900/80000] lr: 2.150e-06, eta: 19:37:14, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2441, decode.acc_seg: 90.1542, loss: 0.2441 2023-11-02 11:53:48,992 - mmseg - INFO - Iter [26950/80000] lr: 2.148e-06, eta: 19:35:57, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2453, decode.acc_seg: 90.4385, loss: 0.2453 2023-11-02 11:54:49,777 - mmseg - INFO - Saving checkpoint at 27000 iterations 2023-11-02 11:55:45,487 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 11:55:45,487 - mmseg - INFO - Iter [27000/80000] lr: 2.146e-06, eta: 19:36:28, time: 2.330, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2294, decode.acc_seg: 90.6523, loss: 0.2294 2023-11-02 11:56:43,851 - mmseg - INFO - per class results: 2023-11-02 11:56:43,857 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 80.31 | 88.23 | | building | 84.08 | 93.16 | | sky | 94.32 | 96.81 | | floor | 83.91 | 90.29 | | tree | 76.19 | 91.46 | | ceiling | 85.24 | 94.06 | | road | 85.71 | 89.17 | | bed | 91.75 | 96.86 | | windowpane | 65.78 | 79.73 | | grass | 68.68 | 82.62 | | cabinet | 66.31 | 76.92 | | sidewalk | 69.64 | 87.09 | | person | 83.21 | 91.98 | | earth | 40.76 | 56.85 | | door | 59.77 | 78.11 | | table | 68.55 | 83.34 | | mountain | 62.32 | 74.17 | | plant | 55.61 | 65.24 | | curtain | 75.42 | 88.42 | | chair | 62.3 | 74.22 | | car | 86.32 | 93.99 | | water | 61.06 | 78.33 | | painting | 77.41 | 87.1 | | sofa | 79.84 | 86.81 | | shelf | 48.48 | 69.19 | | house | 44.76 | 52.23 | | sea | 70.32 | 88.37 | | mirror | 74.56 | 86.06 | | rug | 68.19 | 81.92 | | field | 31.08 | 47.37 | | armchair | 58.74 | 75.38 | | seat | 63.8 | 88.2 | | fence | 47.69 | 61.16 | | desk | 54.63 | 72.19 | | rock | 56.58 | 88.19 | | wardrobe | 50.05 | 64.63 | | lamp | 69.7 | 82.58 | | bathtub | 87.19 | 91.26 | | railing | 42.68 | 64.2 | | cushion | 63.96 | 79.77 | | base | 41.69 | 67.91 | | box | 37.6 | 51.32 | | column | 50.17 | 61.63 | | signboard | 38.67 | 48.42 | | chest of drawers | 42.08 | 63.81 | | counter | 32.13 | 41.47 | | sand | 61.22 | 85.74 | | sink | 77.88 | 84.58 | | skyscraper | 48.59 | 60.9 | | fireplace | 69.13 | 95.18 | | refrigerator | 86.24 | 93.76 | | grandstand | 53.14 | 79.51 | | path | 32.26 | 41.99 | | stairs | 21.28 | 25.26 | | runway | 74.78 | 96.35 | | case | 60.39 | 78.72 | | pool table | 93.33 | 98.37 | | pillow | 61.44 | 72.92 | | screen door | 64.94 | 65.84 | | stairway | 41.13 | 66.07 | | river | 14.44 | 19.89 | | bridge | 73.82 | 82.04 | | bookcase | 43.29 | 56.29 | | blind | 41.25 | 50.13 | | coffee table | 66.9 | 85.12 | | toilet | 88.74 | 92.11 | | flower | 42.2 | 52.61 | | book | 50.44 | 71.01 | | hill | 14.43 | 24.93 | | bench | 54.2 | 61.09 | | countertop | 65.11 | 81.97 | | stove | 84.39 | 90.99 | | palm | 52.25 | 83.67 | | kitchen island | 50.51 | 75.24 | | computer | 79.62 | 88.62 | | swivel chair | 48.53 | 80.09 | | boat | 45.08 | 62.24 | | bar | 62.45 | 87.2 | | arcade machine | 81.32 | 86.54 | | hovel | 58.26 | 63.84 | | bus | 92.15 | 96.31 | | towel | 71.12 | 78.35 | | light | 50.51 | 63.6 | | truck | 48.52 | 63.33 | | tower | 22.04 | 39.78 | | chandelier | 70.41 | 84.27 | | awning | 30.77 | 35.68 | | streetlight | 27.39 | 37.19 | | booth | 63.85 | 70.01 | | television receiver | 79.67 | 89.49 | | airplane | 70.18 | 77.39 | | dirt track | 9.11 | 31.07 | | apparel | 47.71 | 69.18 | | pole | 17.78 | 24.85 | | land | 4.37 | 6.82 | | bannister | 18.01 | 24.9 | | escalator | 64.14 | 84.54 | | ottoman | 52.0 | 73.73 | | bottle | 40.16 | 65.37 | | buffet | 60.91 | 67.67 | | poster | 37.36 | 48.84 | | stage | 13.09 | 22.95 | | van | 46.92 | 59.19 | | ship | 59.54 | 81.53 | | fountain | 42.02 | 42.47 | | conveyer belt | 78.56 | 97.08 | | canopy | 47.25 | 66.59 | | washer | 85.82 | 91.35 | | plaything | 32.36 | 39.27 | | swimming pool | 53.87 | 78.01 | | stool | 52.19 | 68.99 | | barrel | 47.4 | 70.33 | | basket | 41.82 | 58.35 | | waterfall | 50.55 | 56.22 | | tent | 85.78 | 97.93 | | bag | 17.07 | 17.93 | | minibike | 73.51 | 89.45 | | cradle | 82.1 | 98.84 | | oven | 62.02 | 80.39 | | ball | 40.77 | 44.54 | | food | 63.48 | 72.78 | | step | 13.25 | 15.99 | | tank | 58.15 | 68.22 | | trade name | 31.4 | 38.44 | | microwave | 89.69 | 93.17 | | pot | 58.43 | 66.16 | | animal | 72.32 | 75.61 | | bicycle | 61.42 | 83.75 | | lake | 59.68 | 63.72 | | dishwasher | 74.41 | 80.51 | | screen | 51.35 | 73.55 | | blanket | 26.32 | 30.36 | | sculpture | 70.5 | 83.18 | | hood | 60.97 | 73.19 | | sconce | 56.49 | 71.0 | | vase | 43.61 | 60.43 | | traffic light | 31.72 | 51.79 | | tray | 18.73 | 22.88 | | ashcan | 50.27 | 60.55 | | fan | 60.57 | 69.5 | | pier | 38.34 | 42.61 | | crt screen | 7.47 | 22.21 | | plate | 58.95 | 73.21 | | monitor | 13.27 | 15.35 | | bulletin board | 55.12 | 68.38 | | shower | 11.88 | 19.96 | | radiator | 64.98 | 75.22 | | glass | 16.5 | 17.27 | | clock | 43.78 | 51.45 | | flag | 60.61 | 68.64 | +---------------------+-------+-------+ 2023-11-02 11:56:43,857 - mmseg - INFO - Summary: 2023-11-02 11:56:43,858 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 85.32 | 55.44 | 67.97 | +-------+-------+-------+ 2023-11-02 11:56:43,858 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 11:56:43,859 - mmseg - INFO - Iter(val) [250] aAcc: 0.8532, mIoU: 0.5544, mAcc: 0.6797, IoU.wall: 0.8031, IoU.building: 0.8408, IoU.sky: 0.9432, IoU.floor: 0.8391, IoU.tree: 0.7619, IoU.ceiling: 0.8524, IoU.road: 0.8571, IoU.bed : 0.9175, IoU.windowpane: 0.6578, IoU.grass: 0.6868, IoU.cabinet: 0.6631, IoU.sidewalk: 0.6964, IoU.person: 0.8321, IoU.earth: 0.4076, IoU.door: 0.5977, IoU.table: 0.6855, IoU.mountain: 0.6232, IoU.plant: 0.5561, IoU.curtain: 0.7542, IoU.chair: 0.6230, IoU.car: 0.8632, IoU.water: 0.6106, IoU.painting: 0.7741, IoU.sofa: 0.7984, IoU.shelf: 0.4848, IoU.house: 0.4476, IoU.sea: 0.7032, IoU.mirror: 0.7456, IoU.rug: 0.6819, IoU.field: 0.3108, IoU.armchair: 0.5874, IoU.seat: 0.6380, IoU.fence: 0.4769, IoU.desk: 0.5463, IoU.rock: 0.5658, IoU.wardrobe: 0.5005, IoU.lamp: 0.6970, IoU.bathtub: 0.8719, IoU.railing: 0.4268, IoU.cushion: 0.6396, IoU.base: 0.4169, IoU.box: 0.3760, IoU.column: 0.5017, IoU.signboard: 0.3867, IoU.chest of drawers: 0.4208, IoU.counter: 0.3213, IoU.sand: 0.6122, IoU.sink: 0.7788, IoU.skyscraper: 0.4859, IoU.fireplace: 0.6913, IoU.refrigerator: 0.8624, IoU.grandstand: 0.5314, IoU.path: 0.3226, IoU.stairs: 0.2128, IoU.runway: 0.7478, IoU.case: 0.6039, IoU.pool table: 0.9333, IoU.pillow: 0.6144, IoU.screen door: 0.6494, IoU.stairway: 0.4113, IoU.river: 0.1444, IoU.bridge: 0.7382, IoU.bookcase: 0.4329, IoU.blind: 0.4125, IoU.coffee table: 0.6690, IoU.toilet: 0.8874, IoU.flower: 0.4220, IoU.book: 0.5044, IoU.hill: 0.1443, IoU.bench: 0.5420, IoU.countertop: 0.6511, IoU.stove: 0.8439, IoU.palm: 0.5225, IoU.kitchen island: 0.5051, IoU.computer: 0.7962, IoU.swivel chair: 0.4853, IoU.boat: 0.4508, IoU.bar: 0.6245, IoU.arcade machine: 0.8132, IoU.hovel: 0.5826, IoU.bus: 0.9215, IoU.towel: 0.7112, IoU.light: 0.5051, IoU.truck: 0.4852, IoU.tower: 0.2204, IoU.chandelier: 0.7041, IoU.awning: 0.3077, IoU.streetlight: 0.2739, IoU.booth: 0.6385, IoU.television receiver: 0.7967, IoU.airplane: 0.7018, IoU.dirt track: 0.0911, IoU.apparel: 0.4771, IoU.pole: 0.1778, IoU.land: 0.0437, IoU.bannister: 0.1801, IoU.escalator: 0.6414, IoU.ottoman: 0.5200, IoU.bottle: 0.4016, IoU.buffet: 0.6091, IoU.poster: 0.3736, IoU.stage: 0.1309, IoU.van: 0.4692, IoU.ship: 0.5954, IoU.fountain: 0.4202, IoU.conveyer belt: 0.7856, IoU.canopy: 0.4725, IoU.washer: 0.8582, IoU.plaything: 0.3236, IoU.swimming pool: 0.5387, IoU.stool: 0.5219, IoU.barrel: 0.4740, IoU.basket: 0.4182, IoU.waterfall: 0.5055, IoU.tent: 0.8578, IoU.bag: 0.1707, IoU.minibike: 0.7351, IoU.cradle: 0.8210, IoU.oven: 0.6202, IoU.ball: 0.4077, IoU.food: 0.6348, IoU.step: 0.1325, IoU.tank: 0.5815, IoU.trade name: 0.3140, IoU.microwave: 0.8969, IoU.pot: 0.5843, IoU.animal: 0.7232, IoU.bicycle: 0.6142, IoU.lake: 0.5968, IoU.dishwasher: 0.7441, IoU.screen: 0.5135, IoU.blanket: 0.2632, IoU.sculpture: 0.7050, IoU.hood: 0.6097, IoU.sconce: 0.5649, IoU.vase: 0.4361, IoU.traffic light: 0.3172, IoU.tray: 0.1873, IoU.ashcan: 0.5027, IoU.fan: 0.6057, IoU.pier: 0.3834, IoU.crt screen: 0.0747, IoU.plate: 0.5895, IoU.monitor: 0.1327, IoU.bulletin board: 0.5512, IoU.shower: 0.1188, IoU.radiator: 0.6498, IoU.glass: 0.1650, IoU.clock: 0.4378, IoU.flag: 0.6061, Acc.wall: 0.8823, Acc.building: 0.9316, Acc.sky: 0.9681, Acc.floor: 0.9029, Acc.tree: 0.9146, Acc.ceiling: 0.9406, Acc.road: 0.8917, Acc.bed : 0.9686, Acc.windowpane: 0.7973, Acc.grass: 0.8262, Acc.cabinet: 0.7692, Acc.sidewalk: 0.8709, Acc.person: 0.9198, Acc.earth: 0.5685, Acc.door: 0.7811, Acc.table: 0.8334, Acc.mountain: 0.7417, Acc.plant: 0.6524, Acc.curtain: 0.8842, Acc.chair: 0.7422, Acc.car: 0.9399, Acc.water: 0.7833, Acc.painting: 0.8710, Acc.sofa: 0.8681, Acc.shelf: 0.6919, Acc.house: 0.5223, Acc.sea: 0.8837, Acc.mirror: 0.8606, Acc.rug: 0.8192, Acc.field: 0.4737, Acc.armchair: 0.7538, Acc.seat: 0.8820, Acc.fence: 0.6116, Acc.desk: 0.7219, Acc.rock: 0.8819, Acc.wardrobe: 0.6463, Acc.lamp: 0.8258, Acc.bathtub: 0.9126, Acc.railing: 0.6420, Acc.cushion: 0.7977, Acc.base: 0.6791, Acc.box: 0.5132, Acc.column: 0.6163, Acc.signboard: 0.4842, Acc.chest of drawers: 0.6381, Acc.counter: 0.4147, Acc.sand: 0.8574, Acc.sink: 0.8458, Acc.skyscraper: 0.6090, Acc.fireplace: 0.9518, Acc.refrigerator: 0.9376, Acc.grandstand: 0.7951, Acc.path: 0.4199, Acc.stairs: 0.2526, Acc.runway: 0.9635, Acc.case: 0.7872, Acc.pool table: 0.9837, Acc.pillow: 0.7292, Acc.screen door: 0.6584, Acc.stairway: 0.6607, Acc.river: 0.1989, Acc.bridge: 0.8204, Acc.bookcase: 0.5629, Acc.blind: 0.5013, Acc.coffee table: 0.8512, Acc.toilet: 0.9211, Acc.flower: 0.5261, Acc.book: 0.7101, Acc.hill: 0.2493, Acc.bench: 0.6109, Acc.countertop: 0.8197, Acc.stove: 0.9099, Acc.palm: 0.8367, Acc.kitchen island: 0.7524, Acc.computer: 0.8862, Acc.swivel chair: 0.8009, Acc.boat: 0.6224, Acc.bar: 0.8720, Acc.arcade machine: 0.8654, Acc.hovel: 0.6384, Acc.bus: 0.9631, Acc.towel: 0.7835, Acc.light: 0.6360, Acc.truck: 0.6333, Acc.tower: 0.3978, Acc.chandelier: 0.8427, Acc.awning: 0.3568, Acc.streetlight: 0.3719, Acc.booth: 0.7001, Acc.television receiver: 0.8949, Acc.airplane: 0.7739, Acc.dirt track: 0.3107, Acc.apparel: 0.6918, Acc.pole: 0.2485, Acc.land: 0.0682, Acc.bannister: 0.2490, Acc.escalator: 0.8454, Acc.ottoman: 0.7373, Acc.bottle: 0.6537, Acc.buffet: 0.6767, Acc.poster: 0.4884, Acc.stage: 0.2295, Acc.van: 0.5919, Acc.ship: 0.8153, Acc.fountain: 0.4247, Acc.conveyer belt: 0.9708, Acc.canopy: 0.6659, Acc.washer: 0.9135, Acc.plaything: 0.3927, Acc.swimming pool: 0.7801, Acc.stool: 0.6899, Acc.barrel: 0.7033, Acc.basket: 0.5835, Acc.waterfall: 0.5622, Acc.tent: 0.9793, Acc.bag: 0.1793, Acc.minibike: 0.8945, Acc.cradle: 0.9884, Acc.oven: 0.8039, Acc.ball: 0.4454, Acc.food: 0.7278, Acc.step: 0.1599, Acc.tank: 0.6822, Acc.trade name: 0.3844, Acc.microwave: 0.9317, Acc.pot: 0.6616, Acc.animal: 0.7561, Acc.bicycle: 0.8375, Acc.lake: 0.6372, Acc.dishwasher: 0.8051, Acc.screen: 0.7355, Acc.blanket: 0.3036, Acc.sculpture: 0.8318, Acc.hood: 0.7319, Acc.sconce: 0.7100, Acc.vase: 0.6043, Acc.traffic light: 0.5179, Acc.tray: 0.2288, Acc.ashcan: 0.6055, Acc.fan: 0.6950, Acc.pier: 0.4261, Acc.crt screen: 0.2221, Acc.plate: 0.7321, Acc.monitor: 0.1535, Acc.bulletin board: 0.6838, Acc.shower: 0.1996, Acc.radiator: 0.7522, Acc.glass: 0.1727, Acc.clock: 0.5145, Acc.flag: 0.6864 2023-11-02 11:57:44,672 - mmseg - INFO - Iter [27050/80000] lr: 2.144e-06, eta: 19:37:05, time: 2.384, data_time: 1.175, memory: 38534, decode.loss_ce: 0.2405, decode.acc_seg: 90.3517, loss: 0.2405 2023-11-02 11:58:45,434 - mmseg - INFO - Iter [27100/80000] lr: 2.142e-06, eta: 19:35:46, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2218, decode.acc_seg: 90.6679, loss: 0.2218 2023-11-02 11:59:46,232 - mmseg - INFO - Iter [27150/80000] lr: 2.140e-06, eta: 19:34:28, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2269, decode.acc_seg: 90.5457, loss: 0.2269 2023-11-02 12:00:46,995 - mmseg - INFO - Iter [27200/80000] lr: 2.138e-06, eta: 19:33:10, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2446, decode.acc_seg: 90.1335, loss: 0.2446 2023-11-02 12:01:47,734 - mmseg - INFO - Iter [27250/80000] lr: 2.136e-06, eta: 19:31:52, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2276, decode.acc_seg: 90.8299, loss: 0.2276 2023-11-02 12:02:48,527 - mmseg - INFO - Iter [27300/80000] lr: 2.134e-06, eta: 19:30:34, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2295, decode.acc_seg: 90.6068, loss: 0.2295 2023-11-02 12:03:49,276 - mmseg - INFO - Iter [27350/80000] lr: 2.132e-06, eta: 19:29:16, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2404, decode.acc_seg: 90.4047, loss: 0.2404 2023-11-02 12:04:50,025 - mmseg - INFO - Iter [27400/80000] lr: 2.130e-06, eta: 19:27:58, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2278, decode.acc_seg: 90.7713, loss: 0.2278 2023-11-02 12:05:50,800 - mmseg - INFO - Iter [27450/80000] lr: 2.128e-06, eta: 19:26:40, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2433, decode.acc_seg: 90.1654, loss: 0.2433 2023-11-02 12:06:51,551 - mmseg - INFO - Iter [27500/80000] lr: 2.126e-06, eta: 19:25:23, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2319, decode.acc_seg: 90.5237, loss: 0.2319 2023-11-02 12:07:52,280 - mmseg - INFO - Iter [27550/80000] lr: 2.124e-06, eta: 19:24:05, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2483, decode.acc_seg: 89.8215, loss: 0.2483 2023-11-02 12:08:53,022 - mmseg - INFO - Iter [27600/80000] lr: 2.122e-06, eta: 19:22:47, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2529, decode.acc_seg: 89.7658, loss: 0.2529 2023-11-02 12:09:53,824 - mmseg - INFO - Iter [27650/80000] lr: 2.120e-06, eta: 19:21:30, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2515, decode.acc_seg: 89.9037, loss: 0.2515 2023-11-02 12:10:54,600 - mmseg - INFO - Iter [27700/80000] lr: 2.118e-06, eta: 19:20:12, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2403, decode.acc_seg: 90.2901, loss: 0.2403 2023-11-02 12:11:55,367 - mmseg - INFO - Iter [27750/80000] lr: 2.116e-06, eta: 19:18:55, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2292, decode.acc_seg: 90.5519, loss: 0.2292 2023-11-02 12:12:58,508 - mmseg - INFO - Iter [27800/80000] lr: 2.114e-06, eta: 19:17:42, time: 1.263, data_time: 0.053, memory: 38534, decode.loss_ce: 0.2287, decode.acc_seg: 90.5025, loss: 0.2287 2023-11-02 12:13:59,284 - mmseg - INFO - Iter [27850/80000] lr: 2.112e-06, eta: 19:16:25, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2303, decode.acc_seg: 90.2548, loss: 0.2303 2023-11-02 12:15:00,086 - mmseg - INFO - Iter [27900/80000] lr: 2.110e-06, eta: 19:15:07, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2253, decode.acc_seg: 90.5190, loss: 0.2253 2023-11-02 12:16:00,852 - mmseg - INFO - Iter [27950/80000] lr: 2.108e-06, eta: 19:13:50, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2327, decode.acc_seg: 90.8146, loss: 0.2327 2023-11-02 12:17:01,619 - mmseg - INFO - Saving checkpoint at 28000 iterations 2023-11-02 12:17:55,634 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 12:17:55,635 - mmseg - INFO - Iter [28000/80000] lr: 2.106e-06, eta: 19:14:13, time: 2.296, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2235, decode.acc_seg: 90.7416, loss: 0.2235 2023-11-02 12:18:53,196 - mmseg - INFO - per class results: 2023-11-02 12:18:53,201 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 80.45 | 88.93 | | building | 84.25 | 93.03 | | sky | 94.43 | 97.38 | | floor | 83.39 | 91.46 | | tree | 76.51 | 89.89 | | ceiling | 86.37 | 93.18 | | road | 85.48 | 92.52 | | bed | 91.21 | 97.55 | | windowpane | 66.26 | 81.83 | | grass | 67.69 | 80.65 | | cabinet | 65.69 | 76.52 | | sidewalk | 69.55 | 81.29 | | person | 83.22 | 91.08 | | earth | 41.84 | 60.12 | | door | 60.89 | 76.29 | | table | 69.31 | 82.67 | | mountain | 56.97 | 65.0 | | plant | 54.64 | 65.72 | | curtain | 79.33 | 89.3 | | chair | 60.63 | 70.62 | | car | 86.66 | 93.97 | | water | 61.45 | 72.16 | | painting | 79.25 | 88.47 | | sofa | 80.82 | 89.49 | | shelf | 47.19 | 63.07 | | house | 50.56 | 62.51 | | sea | 70.34 | 84.1 | | mirror | 76.57 | 87.73 | | rug | 62.99 | 71.45 | | field | 27.23 | 47.62 | | armchair | 58.71 | 74.93 | | seat | 64.63 | 86.86 | | fence | 51.3 | 70.18 | | desk | 55.96 | 78.86 | | rock | 55.19 | 82.22 | | wardrobe | 51.81 | 74.31 | | lamp | 68.54 | 78.7 | | bathtub | 87.6 | 91.44 | | railing | 42.94 | 64.16 | | cushion | 64.39 | 78.44 | | base | 37.54 | 50.32 | | box | 36.12 | 46.07 | | column | 48.53 | 59.83 | | signboard | 39.89 | 51.03 | | chest of drawers | 40.91 | 62.8 | | counter | 49.58 | 67.62 | | sand | 60.58 | 86.02 | | sink | 77.85 | 85.48 | | skyscraper | 40.09 | 52.03 | | fireplace | 72.51 | 92.91 | | refrigerator | 83.21 | 92.57 | | grandstand | 51.17 | 80.74 | | path | 28.21 | 33.45 | | stairs | 32.87 | 40.99 | | runway | 66.87 | 84.73 | | case | 59.29 | 81.37 | | pool table | 93.77 | 97.13 | | pillow | 56.6 | 62.53 | | screen door | 68.46 | 71.73 | | stairway | 44.15 | 58.68 | | river | 16.83 | 38.81 | | bridge | 72.58 | 82.61 | | bookcase | 46.29 | 62.35 | | blind | 38.29 | 40.88 | | coffee table | 67.04 | 86.83 | | toilet | 88.78 | 92.41 | | flower | 37.99 | 49.06 | | book | 46.87 | 66.48 | | hill | 13.91 | 22.44 | | bench | 56.0 | 64.56 | | countertop | 64.92 | 82.51 | | stove | 85.14 | 91.48 | | palm | 52.49 | 79.66 | | kitchen island | 51.58 | 81.14 | | computer | 80.2 | 87.21 | | swivel chair | 49.21 | 75.22 | | boat | 72.54 | 88.26 | | bar | 64.96 | 80.94 | | arcade machine | 76.57 | 79.17 | | hovel | 44.41 | 47.55 | | bus | 92.32 | 96.53 | | towel | 71.17 | 81.36 | | light | 49.76 | 62.19 | | truck | 46.5 | 62.41 | | tower | 20.95 | 38.79 | | chandelier | 68.22 | 84.26 | | awning | 35.02 | 45.7 | | streetlight | 28.35 | 39.08 | | booth | 52.32 | 70.5 | | television receiver | 74.34 | 88.81 | | airplane | 68.2 | 74.01 | | dirt track | 16.52 | 48.64 | | apparel | 52.21 | 66.59 | | pole | 19.83 | 27.71 | | land | 5.36 | 7.27 | | bannister | 14.33 | 17.81 | | escalator | 64.98 | 80.19 | | ottoman | 55.21 | 79.37 | | bottle | 40.03 | 68.6 | | buffet | 60.71 | 76.45 | | poster | 37.46 | 51.73 | | stage | 20.14 | 51.44 | | van | 49.91 | 67.42 | | ship | 79.83 | 83.57 | | fountain | 43.26 | 43.67 | | conveyer belt | 79.75 | 96.36 | | canopy | 57.26 | 69.73 | | washer | 85.57 | 91.45 | | plaything | 30.63 | 49.49 | | swimming pool | 55.59 | 81.27 | | stool | 50.66 | 68.87 | | barrel | 49.82 | 78.05 | | basket | 41.2 | 58.14 | | waterfall | 43.97 | 47.37 | | tent | 93.26 | 98.3 | | bag | 22.26 | 24.35 | | minibike | 73.33 | 87.8 | | cradle | 85.5 | 97.99 | | oven | 60.43 | 73.83 | | ball | 58.43 | 68.41 | | food | 65.16 | 75.15 | | step | 12.38 | 16.28 | | tank | 60.38 | 66.38 | | trade name | 32.96 | 39.71 | | microwave | 89.09 | 95.15 | | pot | 56.02 | 63.12 | | animal | 69.89 | 73.33 | | bicycle | 60.39 | 79.57 | | lake | 48.59 | 71.19 | | dishwasher | 74.28 | 81.57 | | screen | 60.06 | 94.09 | | blanket | 31.24 | 35.78 | | sculpture | 68.77 | 75.0 | | hood | 56.77 | 66.24 | | sconce | 55.53 | 68.62 | | vase | 44.83 | 59.06 | | traffic light | 35.88 | 56.29 | | tray | 16.4 | 23.13 | | ashcan | 52.42 | 64.27 | | fan | 63.62 | 76.87 | | pier | 37.63 | 45.14 | | crt screen | 2.9 | 4.26 | | plate | 57.98 | 76.23 | | monitor | 53.09 | 66.16 | | bulletin board | 56.15 | 71.15 | | shower | 2.34 | 10.55 | | radiator | 62.81 | 77.21 | | glass | 16.04 | 16.86 | | clock | 43.55 | 55.17 | | flag | 64.77 | 70.61 | +---------------------+-------+-------+ 2023-11-02 12:18:53,201 - mmseg - INFO - Summary: 2023-11-02 12:18:53,202 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 85.37 | 56.16 | 68.95 | +-------+-------+-------+ 2023-11-02 12:18:53,202 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 12:18:53,203 - mmseg - INFO - Iter(val) [250] aAcc: 0.8537, mIoU: 0.5616, mAcc: 0.6895, IoU.wall: 0.8045, IoU.building: 0.8425, IoU.sky: 0.9443, IoU.floor: 0.8339, IoU.tree: 0.7651, IoU.ceiling: 0.8637, IoU.road: 0.8548, IoU.bed : 0.9121, IoU.windowpane: 0.6626, IoU.grass: 0.6769, IoU.cabinet: 0.6569, IoU.sidewalk: 0.6955, IoU.person: 0.8322, IoU.earth: 0.4184, IoU.door: 0.6089, IoU.table: 0.6931, IoU.mountain: 0.5697, IoU.plant: 0.5464, IoU.curtain: 0.7933, IoU.chair: 0.6063, IoU.car: 0.8666, IoU.water: 0.6145, IoU.painting: 0.7925, IoU.sofa: 0.8082, IoU.shelf: 0.4719, IoU.house: 0.5056, IoU.sea: 0.7034, IoU.mirror: 0.7657, IoU.rug: 0.6299, IoU.field: 0.2723, IoU.armchair: 0.5871, IoU.seat: 0.6463, IoU.fence: 0.5130, IoU.desk: 0.5596, IoU.rock: 0.5519, IoU.wardrobe: 0.5181, IoU.lamp: 0.6854, IoU.bathtub: 0.8760, IoU.railing: 0.4294, IoU.cushion: 0.6439, IoU.base: 0.3754, IoU.box: 0.3612, IoU.column: 0.4853, IoU.signboard: 0.3989, IoU.chest of drawers: 0.4091, IoU.counter: 0.4958, IoU.sand: 0.6058, IoU.sink: 0.7785, IoU.skyscraper: 0.4009, IoU.fireplace: 0.7251, IoU.refrigerator: 0.8321, IoU.grandstand: 0.5117, IoU.path: 0.2821, IoU.stairs: 0.3287, IoU.runway: 0.6687, IoU.case: 0.5929, IoU.pool table: 0.9377, IoU.pillow: 0.5660, IoU.screen door: 0.6846, IoU.stairway: 0.4415, IoU.river: 0.1683, IoU.bridge: 0.7258, IoU.bookcase: 0.4629, IoU.blind: 0.3829, IoU.coffee table: 0.6704, IoU.toilet: 0.8878, IoU.flower: 0.3799, IoU.book: 0.4687, IoU.hill: 0.1391, IoU.bench: 0.5600, IoU.countertop: 0.6492, IoU.stove: 0.8514, IoU.palm: 0.5249, IoU.kitchen island: 0.5158, IoU.computer: 0.8020, IoU.swivel chair: 0.4921, IoU.boat: 0.7254, IoU.bar: 0.6496, IoU.arcade machine: 0.7657, IoU.hovel: 0.4441, IoU.bus: 0.9232, IoU.towel: 0.7117, IoU.light: 0.4976, IoU.truck: 0.4650, IoU.tower: 0.2095, IoU.chandelier: 0.6822, IoU.awning: 0.3502, IoU.streetlight: 0.2835, IoU.booth: 0.5232, IoU.television receiver: 0.7434, IoU.airplane: 0.6820, IoU.dirt track: 0.1652, IoU.apparel: 0.5221, IoU.pole: 0.1983, IoU.land: 0.0536, IoU.bannister: 0.1433, IoU.escalator: 0.6498, IoU.ottoman: 0.5521, IoU.bottle: 0.4003, IoU.buffet: 0.6071, IoU.poster: 0.3746, IoU.stage: 0.2014, IoU.van: 0.4991, IoU.ship: 0.7983, IoU.fountain: 0.4326, IoU.conveyer belt: 0.7975, IoU.canopy: 0.5726, IoU.washer: 0.8557, IoU.plaything: 0.3063, IoU.swimming pool: 0.5559, IoU.stool: 0.5066, IoU.barrel: 0.4982, IoU.basket: 0.4120, IoU.waterfall: 0.4397, IoU.tent: 0.9326, IoU.bag: 0.2226, IoU.minibike: 0.7333, IoU.cradle: 0.8550, IoU.oven: 0.6043, IoU.ball: 0.5843, IoU.food: 0.6516, IoU.step: 0.1238, IoU.tank: 0.6038, IoU.trade name: 0.3296, IoU.microwave: 0.8909, IoU.pot: 0.5602, IoU.animal: 0.6989, IoU.bicycle: 0.6039, IoU.lake: 0.4859, IoU.dishwasher: 0.7428, IoU.screen: 0.6006, IoU.blanket: 0.3124, IoU.sculpture: 0.6877, IoU.hood: 0.5677, IoU.sconce: 0.5553, IoU.vase: 0.4483, IoU.traffic light: 0.3588, IoU.tray: 0.1640, IoU.ashcan: 0.5242, IoU.fan: 0.6362, IoU.pier: 0.3763, IoU.crt screen: 0.0290, IoU.plate: 0.5798, IoU.monitor: 0.5309, IoU.bulletin board: 0.5615, IoU.shower: 0.0234, IoU.radiator: 0.6281, IoU.glass: 0.1604, IoU.clock: 0.4355, IoU.flag: 0.6477, Acc.wall: 0.8893, Acc.building: 0.9303, Acc.sky: 0.9738, Acc.floor: 0.9146, Acc.tree: 0.8989, Acc.ceiling: 0.9318, Acc.road: 0.9252, Acc.bed : 0.9755, Acc.windowpane: 0.8183, Acc.grass: 0.8065, Acc.cabinet: 0.7652, Acc.sidewalk: 0.8129, Acc.person: 0.9108, Acc.earth: 0.6012, Acc.door: 0.7629, Acc.table: 0.8267, Acc.mountain: 0.6500, Acc.plant: 0.6572, Acc.curtain: 0.8930, Acc.chair: 0.7062, Acc.car: 0.9397, Acc.water: 0.7216, Acc.painting: 0.8847, Acc.sofa: 0.8949, Acc.shelf: 0.6307, Acc.house: 0.6251, Acc.sea: 0.8410, Acc.mirror: 0.8773, Acc.rug: 0.7145, Acc.field: 0.4762, Acc.armchair: 0.7493, Acc.seat: 0.8686, Acc.fence: 0.7018, Acc.desk: 0.7886, Acc.rock: 0.8222, Acc.wardrobe: 0.7431, Acc.lamp: 0.7870, Acc.bathtub: 0.9144, Acc.railing: 0.6416, Acc.cushion: 0.7844, Acc.base: 0.5032, Acc.box: 0.4607, Acc.column: 0.5983, Acc.signboard: 0.5103, Acc.chest of drawers: 0.6280, Acc.counter: 0.6762, Acc.sand: 0.8602, Acc.sink: 0.8548, Acc.skyscraper: 0.5203, Acc.fireplace: 0.9291, Acc.refrigerator: 0.9257, Acc.grandstand: 0.8074, Acc.path: 0.3345, Acc.stairs: 0.4099, Acc.runway: 0.8473, Acc.case: 0.8137, Acc.pool table: 0.9713, Acc.pillow: 0.6253, Acc.screen door: 0.7173, Acc.stairway: 0.5868, Acc.river: 0.3881, Acc.bridge: 0.8261, Acc.bookcase: 0.6235, Acc.blind: 0.4088, Acc.coffee table: 0.8683, Acc.toilet: 0.9241, Acc.flower: 0.4906, Acc.book: 0.6648, Acc.hill: 0.2244, Acc.bench: 0.6456, Acc.countertop: 0.8251, Acc.stove: 0.9148, Acc.palm: 0.7966, Acc.kitchen island: 0.8114, Acc.computer: 0.8721, Acc.swivel chair: 0.7522, Acc.boat: 0.8826, Acc.bar: 0.8094, Acc.arcade machine: 0.7917, Acc.hovel: 0.4755, Acc.bus: 0.9653, Acc.towel: 0.8136, Acc.light: 0.6219, Acc.truck: 0.6241, Acc.tower: 0.3879, Acc.chandelier: 0.8426, Acc.awning: 0.4570, Acc.streetlight: 0.3908, Acc.booth: 0.7050, Acc.television receiver: 0.8881, Acc.airplane: 0.7401, Acc.dirt track: 0.4864, Acc.apparel: 0.6659, Acc.pole: 0.2771, Acc.land: 0.0727, Acc.bannister: 0.1781, Acc.escalator: 0.8019, Acc.ottoman: 0.7937, Acc.bottle: 0.6860, Acc.buffet: 0.7645, Acc.poster: 0.5173, Acc.stage: 0.5144, Acc.van: 0.6742, Acc.ship: 0.8357, Acc.fountain: 0.4367, Acc.conveyer belt: 0.9636, Acc.canopy: 0.6973, Acc.washer: 0.9145, Acc.plaything: 0.4949, Acc.swimming pool: 0.8127, Acc.stool: 0.6887, Acc.barrel: 0.7805, Acc.basket: 0.5814, Acc.waterfall: 0.4737, Acc.tent: 0.9830, Acc.bag: 0.2435, Acc.minibike: 0.8780, Acc.cradle: 0.9799, Acc.oven: 0.7383, Acc.ball: 0.6841, Acc.food: 0.7515, Acc.step: 0.1628, Acc.tank: 0.6638, Acc.trade name: 0.3971, Acc.microwave: 0.9515, Acc.pot: 0.6312, Acc.animal: 0.7333, Acc.bicycle: 0.7957, Acc.lake: 0.7119, Acc.dishwasher: 0.8157, Acc.screen: 0.9409, Acc.blanket: 0.3578, Acc.sculpture: 0.7500, Acc.hood: 0.6624, Acc.sconce: 0.6862, Acc.vase: 0.5906, Acc.traffic light: 0.5629, Acc.tray: 0.2313, Acc.ashcan: 0.6427, Acc.fan: 0.7687, Acc.pier: 0.4514, Acc.crt screen: 0.0426, Acc.plate: 0.7623, Acc.monitor: 0.6616, Acc.bulletin board: 0.7115, Acc.shower: 0.1055, Acc.radiator: 0.7721, Acc.glass: 0.1686, Acc.clock: 0.5517, Acc.flag: 0.7061 2023-11-02 12:19:53,991 - mmseg - INFO - Iter [28050/80000] lr: 2.104e-06, eta: 19:14:43, time: 2.367, data_time: 1.159, memory: 38534, decode.loss_ce: 0.2243, decode.acc_seg: 90.8651, loss: 0.2243 2023-11-02 12:20:54,721 - mmseg - INFO - Iter [28100/80000] lr: 2.102e-06, eta: 19:13:25, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2229, decode.acc_seg: 91.0755, loss: 0.2229 2023-11-02 12:21:55,428 - mmseg - INFO - Iter [28150/80000] lr: 2.100e-06, eta: 19:12:07, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2180, decode.acc_seg: 91.0079, loss: 0.2180 2023-11-02 12:22:56,102 - mmseg - INFO - Iter [28200/80000] lr: 2.098e-06, eta: 19:10:50, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2367, decode.acc_seg: 90.1124, loss: 0.2367 2023-11-02 12:23:56,833 - mmseg - INFO - Iter [28250/80000] lr: 2.096e-06, eta: 19:09:32, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2253, decode.acc_seg: 90.5474, loss: 0.2253 2023-11-02 12:24:57,603 - mmseg - INFO - Iter [28300/80000] lr: 2.094e-06, eta: 19:08:15, time: 1.215, data_time: 0.008, memory: 38534, decode.loss_ce: 0.2227, decode.acc_seg: 90.7775, loss: 0.2227 2023-11-02 12:25:58,367 - mmseg - INFO - Iter [28350/80000] lr: 2.092e-06, eta: 19:06:57, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2182, decode.acc_seg: 91.1017, loss: 0.2182 2023-11-02 12:26:59,157 - mmseg - INFO - Iter [28400/80000] lr: 2.090e-06, eta: 19:05:40, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2241, decode.acc_seg: 90.4487, loss: 0.2241 2023-11-02 12:27:59,916 - mmseg - INFO - Iter [28450/80000] lr: 2.088e-06, eta: 19:04:23, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2367, decode.acc_seg: 90.0824, loss: 0.2367 2023-11-02 12:29:00,713 - mmseg - INFO - Iter [28500/80000] lr: 2.086e-06, eta: 19:03:06, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2157, decode.acc_seg: 90.8798, loss: 0.2157 2023-11-02 12:30:01,517 - mmseg - INFO - Iter [28550/80000] lr: 2.084e-06, eta: 19:01:49, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2412, decode.acc_seg: 90.4056, loss: 0.2412 2023-11-02 12:31:02,283 - mmseg - INFO - Iter [28600/80000] lr: 2.082e-06, eta: 19:00:32, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2195, decode.acc_seg: 90.8687, loss: 0.2195 2023-11-02 12:32:03,042 - mmseg - INFO - Iter [28650/80000] lr: 2.080e-06, eta: 18:59:15, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2203, decode.acc_seg: 90.6680, loss: 0.2203 2023-11-02 12:33:03,855 - mmseg - INFO - Iter [28700/80000] lr: 2.078e-06, eta: 18:57:58, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2283, decode.acc_seg: 90.2203, loss: 0.2283 2023-11-02 12:34:04,636 - mmseg - INFO - Iter [28750/80000] lr: 2.076e-06, eta: 18:56:41, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2276, decode.acc_seg: 90.7055, loss: 0.2276 2023-11-02 12:35:05,392 - mmseg - INFO - Iter [28800/80000] lr: 2.074e-06, eta: 18:55:24, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2260, decode.acc_seg: 90.5623, loss: 0.2260 2023-11-02 12:36:06,179 - mmseg - INFO - Iter [28850/80000] lr: 2.071e-06, eta: 18:54:08, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2313, decode.acc_seg: 90.4662, loss: 0.2313 2023-11-02 12:37:06,972 - mmseg - INFO - Iter [28900/80000] lr: 2.069e-06, eta: 18:52:51, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2204, decode.acc_seg: 90.7208, loss: 0.2204 2023-11-02 12:38:07,716 - mmseg - INFO - Iter [28950/80000] lr: 2.067e-06, eta: 18:51:34, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2217, decode.acc_seg: 90.6275, loss: 0.2217 2023-11-02 12:39:08,473 - mmseg - INFO - Saving checkpoint at 29000 iterations 2023-11-02 12:40:00,327 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 12:40:00,327 - mmseg - INFO - Iter [29000/80000] lr: 2.065e-06, eta: 18:51:49, time: 2.252, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2335, decode.acc_seg: 90.2695, loss: 0.2335 2023-11-02 12:40:57,950 - mmseg - INFO - per class results: 2023-11-02 12:40:57,955 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 80.03 | 88.34 | | building | 83.83 | 93.81 | | sky | 94.38 | 97.72 | | floor | 83.95 | 91.69 | | tree | 76.47 | 88.92 | | ceiling | 86.41 | 93.81 | | road | 85.67 | 90.08 | | bed | 91.21 | 96.87 | | windowpane | 65.89 | 81.29 | | grass | 66.93 | 80.16 | | cabinet | 65.9 | 75.9 | | sidewalk | 68.21 | 86.0 | | person | 83.21 | 92.66 | | earth | 42.31 | 56.27 | | door | 60.62 | 77.76 | | table | 68.09 | 81.69 | | mountain | 59.22 | 69.98 | | plant | 54.91 | 70.04 | | curtain | 76.16 | 86.71 | | chair | 61.73 | 73.12 | | car | 86.56 | 94.0 | | water | 60.61 | 75.25 | | painting | 77.6 | 89.11 | | sofa | 81.83 | 89.75 | | shelf | 47.23 | 63.33 | | house | 59.28 | 74.01 | | sea | 69.9 | 91.13 | | mirror | 74.36 | 83.8 | | rug | 65.93 | 77.3 | | field | 26.18 | 44.07 | | armchair | 62.07 | 75.33 | | seat | 64.8 | 85.47 | | fence | 38.81 | 49.25 | | desk | 54.16 | 78.44 | | rock | 58.23 | 81.22 | | wardrobe | 53.15 | 79.54 | | lamp | 70.18 | 83.7 | | bathtub | 87.33 | 90.39 | | railing | 42.72 | 60.45 | | cushion | 65.63 | 77.37 | | base | 35.46 | 48.25 | | box | 37.51 | 47.49 | | column | 49.55 | 58.01 | | signboard | 37.74 | 48.85 | | chest of drawers | 41.17 | 67.5 | | counter | 38.8 | 51.4 | | sand | 54.08 | 84.71 | | sink | 77.49 | 83.65 | | skyscraper | 44.08 | 57.79 | | fireplace | 72.86 | 92.17 | | refrigerator | 86.05 | 91.81 | | grandstand | 53.04 | 79.47 | | path | 13.81 | 16.93 | | stairs | 29.11 | 34.78 | | runway | 64.44 | 80.8 | | case | 57.63 | 79.97 | | pool table | 93.37 | 97.93 | | pillow | 58.15 | 65.16 | | screen door | 72.84 | 78.02 | | stairway | 37.63 | 54.03 | | river | 12.16 | 16.26 | | bridge | 57.76 | 62.8 | | bookcase | 37.99 | 58.86 | | blind | 41.86 | 49.84 | | coffee table | 66.81 | 86.18 | | toilet | 88.88 | 92.11 | | flower | 41.14 | 55.73 | | book | 50.28 | 71.36 | | hill | 15.91 | 24.74 | | bench | 53.62 | 61.4 | | countertop | 65.75 | 82.85 | | stove | 85.02 | 93.12 | | palm | 50.81 | 74.45 | | kitchen island | 51.93 | 63.07 | | computer | 76.45 | 89.14 | | swivel chair | 43.93 | 82.74 | | boat | 78.33 | 87.63 | | bar | 62.41 | 78.58 | | arcade machine | 77.83 | 81.88 | | hovel | 41.98 | 43.8 | | bus | 92.55 | 96.16 | | towel | 71.23 | 83.46 | | light | 47.84 | 55.6 | | truck | 51.62 | 65.36 | | tower | 22.02 | 40.81 | | chandelier | 70.15 | 83.8 | | awning | 38.47 | 49.95 | | streetlight | 27.11 | 34.95 | | booth | 45.66 | 79.34 | | television receiver | 76.83 | 88.84 | | airplane | 82.18 | 88.84 | | dirt track | 12.78 | 28.35 | | apparel | 36.38 | 44.84 | | pole | 20.56 | 28.89 | | land | 5.46 | 8.57 | | bannister | 17.21 | 22.32 | | escalator | 64.31 | 80.38 | | ottoman | 53.05 | 75.58 | | bottle | 40.01 | 50.88 | | buffet | 60.09 | 64.99 | | poster | 33.25 | 43.74 | | stage | 20.38 | 36.48 | | van | 51.58 | 65.33 | | ship | 77.66 | 84.39 | | fountain | 47.41 | 48.17 | | conveyer belt | 78.35 | 96.96 | | canopy | 49.41 | 65.32 | | washer | 86.72 | 91.58 | | plaything | 33.96 | 42.95 | | swimming pool | 47.98 | 67.91 | | stool | 53.3 | 66.51 | | barrel | 45.52 | 64.97 | | basket | 40.33 | 53.71 | | waterfall | 47.11 | 53.65 | | tent | 95.25 | 98.11 | | bag | 19.8 | 22.28 | | minibike | 73.36 | 86.14 | | cradle | 81.71 | 98.35 | | oven | 61.47 | 80.9 | | ball | 49.15 | 56.66 | | food | 66.54 | 75.92 | | step | 9.08 | 10.12 | | tank | 62.81 | 65.61 | | trade name | 25.87 | 28.78 | | microwave | 89.14 | 93.85 | | pot | 57.54 | 65.54 | | animal | 73.12 | 78.16 | | bicycle | 57.16 | 68.49 | | lake | 60.22 | 69.0 | | dishwasher | 72.51 | 80.5 | | screen | 61.51 | 93.59 | | blanket | 28.93 | 34.15 | | sculpture | 66.51 | 76.41 | | hood | 61.64 | 79.64 | | sconce | 54.31 | 67.64 | | vase | 45.14 | 56.4 | | traffic light | 34.42 | 53.42 | | tray | 18.34 | 24.15 | | ashcan | 49.19 | 64.54 | | fan | 63.94 | 75.53 | | pier | 38.12 | 42.83 | | crt screen | 1.95 | 3.32 | | plate | 60.29 | 73.66 | | monitor | 39.93 | 47.4 | | bulletin board | 55.99 | 69.38 | | shower | 3.52 | 13.16 | | radiator | 63.9 | 73.12 | | glass | 17.37 | 18.16 | | clock | 44.69 | 50.43 | | flag | 63.45 | 70.29 | +---------------------+-------+-------+ 2023-11-02 12:40:57,955 - mmseg - INFO - Summary: 2023-11-02 12:40:57,955 - mmseg - INFO - +------+-------+------+ | aAcc | mIoU | mAcc | +------+-------+------+ | 85.3 | 55.56 | 67.4 | +------+-------+------+ 2023-11-02 12:40:57,956 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 12:40:57,956 - mmseg - INFO - Iter(val) [250] aAcc: 0.8530, mIoU: 0.5556, mAcc: 0.6740, IoU.wall: 0.8003, IoU.building: 0.8383, IoU.sky: 0.9438, IoU.floor: 0.8395, IoU.tree: 0.7647, IoU.ceiling: 0.8641, IoU.road: 0.8567, IoU.bed : 0.9121, IoU.windowpane: 0.6589, IoU.grass: 0.6693, IoU.cabinet: 0.6590, IoU.sidewalk: 0.6821, IoU.person: 0.8321, IoU.earth: 0.4231, IoU.door: 0.6062, IoU.table: 0.6809, IoU.mountain: 0.5922, IoU.plant: 0.5491, IoU.curtain: 0.7616, IoU.chair: 0.6173, IoU.car: 0.8656, IoU.water: 0.6061, IoU.painting: 0.7760, IoU.sofa: 0.8183, IoU.shelf: 0.4723, IoU.house: 0.5928, IoU.sea: 0.6990, IoU.mirror: 0.7436, IoU.rug: 0.6593, IoU.field: 0.2618, IoU.armchair: 0.6207, IoU.seat: 0.6480, IoU.fence: 0.3881, IoU.desk: 0.5416, IoU.rock: 0.5823, IoU.wardrobe: 0.5315, IoU.lamp: 0.7018, IoU.bathtub: 0.8733, IoU.railing: 0.4272, IoU.cushion: 0.6563, IoU.base: 0.3546, IoU.box: 0.3751, IoU.column: 0.4955, IoU.signboard: 0.3774, IoU.chest of drawers: 0.4117, IoU.counter: 0.3880, IoU.sand: 0.5408, IoU.sink: 0.7749, IoU.skyscraper: 0.4408, IoU.fireplace: 0.7286, IoU.refrigerator: 0.8605, IoU.grandstand: 0.5304, IoU.path: 0.1381, IoU.stairs: 0.2911, IoU.runway: 0.6444, IoU.case: 0.5763, IoU.pool table: 0.9337, IoU.pillow: 0.5815, IoU.screen door: 0.7284, IoU.stairway: 0.3763, IoU.river: 0.1216, IoU.bridge: 0.5776, IoU.bookcase: 0.3799, IoU.blind: 0.4186, IoU.coffee table: 0.6681, IoU.toilet: 0.8888, IoU.flower: 0.4114, IoU.book: 0.5028, IoU.hill: 0.1591, IoU.bench: 0.5362, IoU.countertop: 0.6575, IoU.stove: 0.8502, IoU.palm: 0.5081, IoU.kitchen island: 0.5193, IoU.computer: 0.7645, IoU.swivel chair: 0.4393, IoU.boat: 0.7833, IoU.bar: 0.6241, IoU.arcade machine: 0.7783, IoU.hovel: 0.4198, IoU.bus: 0.9255, IoU.towel: 0.7123, IoU.light: 0.4784, IoU.truck: 0.5162, IoU.tower: 0.2202, IoU.chandelier: 0.7015, IoU.awning: 0.3847, IoU.streetlight: 0.2711, IoU.booth: 0.4566, IoU.television receiver: 0.7683, IoU.airplane: 0.8218, IoU.dirt track: 0.1278, IoU.apparel: 0.3638, IoU.pole: 0.2056, IoU.land: 0.0546, IoU.bannister: 0.1721, IoU.escalator: 0.6431, IoU.ottoman: 0.5305, IoU.bottle: 0.4001, IoU.buffet: 0.6009, IoU.poster: 0.3325, IoU.stage: 0.2038, IoU.van: 0.5158, IoU.ship: 0.7766, IoU.fountain: 0.4741, IoU.conveyer belt: 0.7835, IoU.canopy: 0.4941, IoU.washer: 0.8672, IoU.plaything: 0.3396, IoU.swimming pool: 0.4798, IoU.stool: 0.5330, IoU.barrel: 0.4552, IoU.basket: 0.4033, IoU.waterfall: 0.4711, IoU.tent: 0.9525, IoU.bag: 0.1980, IoU.minibike: 0.7336, IoU.cradle: 0.8171, IoU.oven: 0.6147, IoU.ball: 0.4915, IoU.food: 0.6654, IoU.step: 0.0908, IoU.tank: 0.6281, IoU.trade name: 0.2587, IoU.microwave: 0.8914, IoU.pot: 0.5754, IoU.animal: 0.7312, IoU.bicycle: 0.5716, IoU.lake: 0.6022, IoU.dishwasher: 0.7251, IoU.screen: 0.6151, IoU.blanket: 0.2893, IoU.sculpture: 0.6651, IoU.hood: 0.6164, IoU.sconce: 0.5431, IoU.vase: 0.4514, IoU.traffic light: 0.3442, IoU.tray: 0.1834, IoU.ashcan: 0.4919, IoU.fan: 0.6394, IoU.pier: 0.3812, IoU.crt screen: 0.0195, IoU.plate: 0.6029, IoU.monitor: 0.3993, IoU.bulletin board: 0.5599, IoU.shower: 0.0352, IoU.radiator: 0.6390, IoU.glass: 0.1737, IoU.clock: 0.4469, IoU.flag: 0.6345, Acc.wall: 0.8834, Acc.building: 0.9381, Acc.sky: 0.9772, Acc.floor: 0.9169, Acc.tree: 0.8892, Acc.ceiling: 0.9381, Acc.road: 0.9008, Acc.bed : 0.9687, Acc.windowpane: 0.8129, Acc.grass: 0.8016, Acc.cabinet: 0.7590, Acc.sidewalk: 0.8600, Acc.person: 0.9266, Acc.earth: 0.5627, Acc.door: 0.7776, Acc.table: 0.8169, Acc.mountain: 0.6998, Acc.plant: 0.7004, Acc.curtain: 0.8671, Acc.chair: 0.7312, Acc.car: 0.9400, Acc.water: 0.7525, Acc.painting: 0.8911, Acc.sofa: 0.8975, Acc.shelf: 0.6333, Acc.house: 0.7401, Acc.sea: 0.9113, Acc.mirror: 0.8380, Acc.rug: 0.7730, Acc.field: 0.4407, Acc.armchair: 0.7533, Acc.seat: 0.8547, Acc.fence: 0.4925, Acc.desk: 0.7844, Acc.rock: 0.8122, Acc.wardrobe: 0.7954, Acc.lamp: 0.8370, Acc.bathtub: 0.9039, Acc.railing: 0.6045, Acc.cushion: 0.7737, Acc.base: 0.4825, Acc.box: 0.4749, Acc.column: 0.5801, Acc.signboard: 0.4885, Acc.chest of drawers: 0.6750, Acc.counter: 0.5140, Acc.sand: 0.8471, Acc.sink: 0.8365, Acc.skyscraper: 0.5779, Acc.fireplace: 0.9217, Acc.refrigerator: 0.9181, Acc.grandstand: 0.7947, Acc.path: 0.1693, Acc.stairs: 0.3478, Acc.runway: 0.8080, Acc.case: 0.7997, Acc.pool table: 0.9793, Acc.pillow: 0.6516, Acc.screen door: 0.7802, Acc.stairway: 0.5403, Acc.river: 0.1626, Acc.bridge: 0.6280, Acc.bookcase: 0.5886, Acc.blind: 0.4984, Acc.coffee table: 0.8618, Acc.toilet: 0.9211, Acc.flower: 0.5573, Acc.book: 0.7136, Acc.hill: 0.2474, Acc.bench: 0.6140, Acc.countertop: 0.8285, Acc.stove: 0.9312, Acc.palm: 0.7445, Acc.kitchen island: 0.6307, Acc.computer: 0.8914, Acc.swivel chair: 0.8274, Acc.boat: 0.8763, Acc.bar: 0.7858, Acc.arcade machine: 0.8188, Acc.hovel: 0.4380, Acc.bus: 0.9616, Acc.towel: 0.8346, Acc.light: 0.5560, Acc.truck: 0.6536, Acc.tower: 0.4081, Acc.chandelier: 0.8380, Acc.awning: 0.4995, Acc.streetlight: 0.3495, Acc.booth: 0.7934, Acc.television receiver: 0.8884, Acc.airplane: 0.8884, Acc.dirt track: 0.2835, Acc.apparel: 0.4484, Acc.pole: 0.2889, Acc.land: 0.0857, Acc.bannister: 0.2232, Acc.escalator: 0.8038, Acc.ottoman: 0.7558, Acc.bottle: 0.5088, Acc.buffet: 0.6499, Acc.poster: 0.4374, Acc.stage: 0.3648, Acc.van: 0.6533, Acc.ship: 0.8439, Acc.fountain: 0.4817, Acc.conveyer belt: 0.9696, Acc.canopy: 0.6532, Acc.washer: 0.9158, Acc.plaything: 0.4295, Acc.swimming pool: 0.6791, Acc.stool: 0.6651, Acc.barrel: 0.6497, Acc.basket: 0.5371, Acc.waterfall: 0.5365, Acc.tent: 0.9811, Acc.bag: 0.2228, Acc.minibike: 0.8614, Acc.cradle: 0.9835, Acc.oven: 0.8090, Acc.ball: 0.5666, Acc.food: 0.7592, Acc.step: 0.1012, Acc.tank: 0.6561, Acc.trade name: 0.2878, Acc.microwave: 0.9385, Acc.pot: 0.6554, Acc.animal: 0.7816, Acc.bicycle: 0.6849, Acc.lake: 0.6900, Acc.dishwasher: 0.8050, Acc.screen: 0.9359, Acc.blanket: 0.3415, Acc.sculpture: 0.7641, Acc.hood: 0.7964, Acc.sconce: 0.6764, Acc.vase: 0.5640, Acc.traffic light: 0.5342, Acc.tray: 0.2415, Acc.ashcan: 0.6454, Acc.fan: 0.7553, Acc.pier: 0.4283, Acc.crt screen: 0.0332, Acc.plate: 0.7366, Acc.monitor: 0.4740, Acc.bulletin board: 0.6938, Acc.shower: 0.1316, Acc.radiator: 0.7312, Acc.glass: 0.1816, Acc.clock: 0.5043, Acc.flag: 0.7029 2023-11-02 12:42:01,055 - mmseg - INFO - Iter [29050/80000] lr: 2.063e-06, eta: 18:52:17, time: 2.415, data_time: 1.205, memory: 38534, decode.loss_ce: 0.2261, decode.acc_seg: 90.5491, loss: 0.2261 2023-11-02 12:43:01,794 - mmseg - INFO - Iter [29100/80000] lr: 2.061e-06, eta: 18:51:00, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2258, decode.acc_seg: 90.7581, loss: 0.2258 2023-11-02 12:44:02,456 - mmseg - INFO - Iter [29150/80000] lr: 2.059e-06, eta: 18:49:43, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2246, decode.acc_seg: 90.7510, loss: 0.2246 2023-11-02 12:45:03,173 - mmseg - INFO - Iter [29200/80000] lr: 2.057e-06, eta: 18:48:26, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2156, decode.acc_seg: 91.2332, loss: 0.2156 2023-11-02 12:46:03,915 - mmseg - INFO - Iter [29250/80000] lr: 2.055e-06, eta: 18:47:09, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2332, decode.acc_seg: 90.5442, loss: 0.2332 2023-11-02 12:47:04,634 - mmseg - INFO - Iter [29300/80000] lr: 2.053e-06, eta: 18:45:52, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2194, decode.acc_seg: 90.9327, loss: 0.2194 2023-11-02 12:48:05,315 - mmseg - INFO - Iter [29350/80000] lr: 2.051e-06, eta: 18:44:36, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2239, decode.acc_seg: 90.8356, loss: 0.2239 2023-11-02 12:49:06,057 - mmseg - INFO - Iter [29400/80000] lr: 2.049e-06, eta: 18:43:19, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2282, decode.acc_seg: 90.6301, loss: 0.2282 2023-11-02 12:50:06,766 - mmseg - INFO - Iter [29450/80000] lr: 2.047e-06, eta: 18:42:02, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2182, decode.acc_seg: 91.1822, loss: 0.2182 2023-11-02 12:51:07,517 - mmseg - INFO - Iter [29500/80000] lr: 2.045e-06, eta: 18:40:46, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2300, decode.acc_seg: 90.5024, loss: 0.2300 2023-11-02 12:52:08,249 - mmseg - INFO - Iter [29550/80000] lr: 2.043e-06, eta: 18:39:29, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2221, decode.acc_seg: 90.6400, loss: 0.2221 2023-11-02 12:53:08,943 - mmseg - INFO - Iter [29600/80000] lr: 2.041e-06, eta: 18:38:12, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2336, decode.acc_seg: 90.1837, loss: 0.2336 2023-11-02 12:54:09,600 - mmseg - INFO - Iter [29650/80000] lr: 2.039e-06, eta: 18:36:56, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2257, decode.acc_seg: 90.6698, loss: 0.2257 2023-11-02 12:55:10,293 - mmseg - INFO - Iter [29700/80000] lr: 2.037e-06, eta: 18:35:39, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2299, decode.acc_seg: 90.5017, loss: 0.2299 2023-11-02 12:56:11,009 - mmseg - INFO - Iter [29750/80000] lr: 2.035e-06, eta: 18:34:23, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2196, decode.acc_seg: 91.2516, loss: 0.2196 2023-11-02 12:57:11,674 - mmseg - INFO - Iter [29800/80000] lr: 2.033e-06, eta: 18:33:07, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2275, decode.acc_seg: 90.8263, loss: 0.2275 2023-11-02 12:58:12,392 - mmseg - INFO - Iter [29850/80000] lr: 2.031e-06, eta: 18:31:50, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2190, decode.acc_seg: 91.0875, loss: 0.2190 2023-11-02 12:59:13,042 - mmseg - INFO - Iter [29900/80000] lr: 2.029e-06, eta: 18:30:34, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2219, decode.acc_seg: 91.0432, loss: 0.2219 2023-11-02 13:00:13,683 - mmseg - INFO - Iter [29950/80000] lr: 2.027e-06, eta: 18:29:18, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2276, decode.acc_seg: 90.8124, loss: 0.2276 2023-11-02 13:01:14,326 - mmseg - INFO - Saving checkpoint at 30000 iterations 2023-11-02 13:02:07,822 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 13:02:07,822 - mmseg - INFO - Iter [30000/80000] lr: 2.025e-06, eta: 18:29:31, time: 2.283, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2259, decode.acc_seg: 90.6493, loss: 0.2259 2023-11-02 13:03:05,170 - mmseg - INFO - per class results: 2023-11-02 13:03:05,175 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 80.63 | 88.59 | | building | 84.55 | 92.96 | | sky | 94.36 | 97.46 | | floor | 83.84 | 92.09 | | tree | 76.39 | 89.14 | | ceiling | 86.01 | 92.63 | | road | 86.78 | 89.82 | | bed | 91.55 | 97.12 | | windowpane | 65.34 | 81.92 | | grass | 67.7 | 83.47 | | cabinet | 64.67 | 73.21 | | sidewalk | 69.29 | 85.4 | | person | 83.53 | 92.79 | | earth | 42.7 | 58.6 | | door | 58.18 | 69.68 | | table | 68.88 | 80.32 | | mountain | 63.65 | 73.94 | | plant | 55.48 | 68.54 | | curtain | 77.3 | 88.82 | | chair | 62.3 | 75.13 | | car | 86.47 | 94.47 | | water | 56.89 | 71.3 | | painting | 78.65 | 88.66 | | sofa | 82.24 | 90.47 | | shelf | 46.92 | 65.24 | | house | 61.03 | 84.61 | | sea | 67.76 | 91.05 | | mirror | 76.38 | 86.18 | | rug | 60.71 | 65.56 | | field | 28.55 | 45.21 | | armchair | 61.02 | 81.75 | | seat | 62.13 | 87.63 | | fence | 49.57 | 72.57 | | desk | 55.9 | 74.7 | | rock | 54.85 | 85.12 | | wardrobe | 55.31 | 79.81 | | lamp | 69.26 | 84.43 | | bathtub | 85.91 | 90.69 | | railing | 43.71 | 61.75 | | cushion | 65.63 | 76.81 | | base | 37.1 | 45.45 | | box | 37.45 | 52.46 | | column | 49.0 | 57.79 | | signboard | 38.52 | 53.55 | | chest of drawers | 43.63 | 64.28 | | counter | 42.77 | 59.09 | | sand | 53.99 | 83.18 | | sink | 77.47 | 86.04 | | skyscraper | 46.19 | 54.92 | | fireplace | 72.33 | 95.11 | | refrigerator | 84.84 | 92.24 | | grandstand | 61.47 | 80.53 | | path | 25.28 | 33.19 | | stairs | 31.85 | 40.34 | | runway | 72.09 | 91.71 | | case | 56.09 | 83.35 | | pool table | 93.89 | 97.22 | | pillow | 62.7 | 73.94 | | screen door | 80.43 | 83.12 | | stairway | 42.4 | 63.11 | | river | 15.92 | 25.67 | | bridge | 71.12 | 81.54 | | bookcase | 39.33 | 56.42 | | blind | 41.51 | 48.33 | | coffee table | 66.69 | 85.26 | | toilet | 88.27 | 92.36 | | flower | 37.54 | 54.89 | | book | 51.68 | 72.36 | | hill | 9.11 | 13.76 | | bench | 55.1 | 61.89 | | countertop | 64.87 | 79.92 | | stove | 83.56 | 88.65 | | palm | 52.13 | 80.61 | | kitchen island | 47.82 | 84.82 | | computer | 75.67 | 90.59 | | swivel chair | 44.11 | 57.63 | | boat | 74.35 | 90.06 | | bar | 62.43 | 80.07 | | arcade machine | 62.89 | 64.23 | | hovel | 31.26 | 36.66 | | bus | 92.64 | 96.0 | | towel | 69.82 | 76.83 | | light | 51.41 | 65.57 | | truck | 46.58 | 62.22 | | tower | 20.66 | 38.01 | | chandelier | 69.84 | 82.09 | | awning | 39.52 | 47.58 | | streetlight | 25.4 | 31.28 | | booth | 59.66 | 74.3 | | television receiver | 70.9 | 90.2 | | airplane | 85.65 | 94.9 | | dirt track | 3.54 | 14.52 | | apparel | 41.52 | 55.75 | | pole | 21.62 | 29.77 | | land | 5.23 | 7.68 | | bannister | 15.69 | 19.05 | | escalator | 61.16 | 78.11 | | ottoman | 54.8 | 77.58 | | bottle | 40.02 | 64.45 | | buffet | 60.98 | 77.14 | | poster | 32.31 | 49.54 | | stage | 18.37 | 52.06 | | van | 51.08 | 62.68 | | ship | 70.8 | 74.67 | | fountain | 23.37 | 23.43 | | conveyer belt | 80.54 | 94.13 | | canopy | 51.75 | 62.08 | | washer | 81.14 | 85.73 | | plaything | 31.03 | 45.03 | | swimming pool | 50.4 | 70.57 | | stool | 52.12 | 63.75 | | barrel | 49.42 | 65.04 | | basket | 42.68 | 63.09 | | waterfall | 52.04 | 60.27 | | tent | 96.25 | 96.86 | | bag | 21.2 | 25.28 | | minibike | 73.6 | 85.96 | | cradle | 83.64 | 96.77 | | oven | 62.97 | 77.93 | | ball | 32.46 | 36.86 | | food | 64.2 | 74.09 | | step | 11.08 | 12.59 | | tank | 61.73 | 66.05 | | trade name | 16.22 | 17.38 | | microwave | 88.77 | 95.48 | | pot | 59.21 | 67.39 | | animal | 66.67 | 69.15 | | bicycle | 61.26 | 83.31 | | lake | 63.29 | 63.76 | | dishwasher | 74.39 | 82.76 | | screen | 59.38 | 90.06 | | blanket | 21.29 | 23.47 | | sculpture | 67.38 | 80.39 | | hood | 57.12 | 67.11 | | sconce | 57.52 | 70.69 | | vase | 46.59 | 62.78 | | traffic light | 35.79 | 58.03 | | tray | 17.95 | 22.78 | | ashcan | 50.11 | 63.81 | | fan | 61.16 | 69.45 | | pier | 34.35 | 44.39 | | crt screen | 8.08 | 18.5 | | plate | 58.08 | 78.12 | | monitor | 24.69 | 28.36 | | bulletin board | 60.1 | 71.38 | | shower | 9.58 | 15.66 | | radiator | 61.67 | 81.42 | | glass | 18.79 | 19.88 | | clock | 40.88 | 54.84 | | flag | 64.39 | 72.98 | +---------------------+-------+-------+ 2023-11-02 13:03:05,175 - mmseg - INFO - Summary: 2023-11-02 13:03:05,175 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 85.44 | 55.42 | 67.91 | +-------+-------+-------+ 2023-11-02 13:03:05,176 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 13:03:05,177 - mmseg - INFO - Iter(val) [250] aAcc: 0.8544, mIoU: 0.5542, mAcc: 0.6791, IoU.wall: 0.8063, IoU.building: 0.8455, IoU.sky: 0.9436, IoU.floor: 0.8384, IoU.tree: 0.7639, IoU.ceiling: 0.8601, IoU.road: 0.8678, IoU.bed : 0.9155, IoU.windowpane: 0.6534, IoU.grass: 0.6770, IoU.cabinet: 0.6467, IoU.sidewalk: 0.6929, IoU.person: 0.8353, IoU.earth: 0.4270, IoU.door: 0.5818, IoU.table: 0.6888, IoU.mountain: 0.6365, IoU.plant: 0.5548, IoU.curtain: 0.7730, IoU.chair: 0.6230, IoU.car: 0.8647, IoU.water: 0.5689, IoU.painting: 0.7865, IoU.sofa: 0.8224, IoU.shelf: 0.4692, IoU.house: 0.6103, IoU.sea: 0.6776, IoU.mirror: 0.7638, IoU.rug: 0.6071, IoU.field: 0.2855, IoU.armchair: 0.6102, IoU.seat: 0.6213, IoU.fence: 0.4957, IoU.desk: 0.5590, IoU.rock: 0.5485, IoU.wardrobe: 0.5531, IoU.lamp: 0.6926, IoU.bathtub: 0.8591, IoU.railing: 0.4371, IoU.cushion: 0.6563, IoU.base: 0.3710, IoU.box: 0.3745, IoU.column: 0.4900, IoU.signboard: 0.3852, IoU.chest of drawers: 0.4363, IoU.counter: 0.4277, IoU.sand: 0.5399, IoU.sink: 0.7747, IoU.skyscraper: 0.4619, IoU.fireplace: 0.7233, IoU.refrigerator: 0.8484, IoU.grandstand: 0.6147, IoU.path: 0.2528, IoU.stairs: 0.3185, IoU.runway: 0.7209, IoU.case: 0.5609, IoU.pool table: 0.9389, IoU.pillow: 0.6270, IoU.screen door: 0.8043, IoU.stairway: 0.4240, IoU.river: 0.1592, IoU.bridge: 0.7112, IoU.bookcase: 0.3933, IoU.blind: 0.4151, IoU.coffee table: 0.6669, IoU.toilet: 0.8827, IoU.flower: 0.3754, IoU.book: 0.5168, IoU.hill: 0.0911, IoU.bench: 0.5510, IoU.countertop: 0.6487, IoU.stove: 0.8356, IoU.palm: 0.5213, IoU.kitchen island: 0.4782, IoU.computer: 0.7567, IoU.swivel chair: 0.4411, IoU.boat: 0.7435, IoU.bar: 0.6243, IoU.arcade machine: 0.6289, IoU.hovel: 0.3126, IoU.bus: 0.9264, IoU.towel: 0.6982, IoU.light: 0.5141, IoU.truck: 0.4658, IoU.tower: 0.2066, IoU.chandelier: 0.6984, IoU.awning: 0.3952, IoU.streetlight: 0.2540, IoU.booth: 0.5966, IoU.television receiver: 0.7090, IoU.airplane: 0.8565, IoU.dirt track: 0.0354, IoU.apparel: 0.4152, IoU.pole: 0.2162, IoU.land: 0.0523, IoU.bannister: 0.1569, IoU.escalator: 0.6116, IoU.ottoman: 0.5480, IoU.bottle: 0.4002, IoU.buffet: 0.6098, IoU.poster: 0.3231, IoU.stage: 0.1837, IoU.van: 0.5108, IoU.ship: 0.7080, IoU.fountain: 0.2337, IoU.conveyer belt: 0.8054, IoU.canopy: 0.5175, IoU.washer: 0.8114, IoU.plaything: 0.3103, IoU.swimming pool: 0.5040, IoU.stool: 0.5212, IoU.barrel: 0.4942, IoU.basket: 0.4268, IoU.waterfall: 0.5204, IoU.tent: 0.9625, IoU.bag: 0.2120, IoU.minibike: 0.7360, IoU.cradle: 0.8364, IoU.oven: 0.6297, IoU.ball: 0.3246, IoU.food: 0.6420, IoU.step: 0.1108, IoU.tank: 0.6173, IoU.trade name: 0.1622, IoU.microwave: 0.8877, IoU.pot: 0.5921, IoU.animal: 0.6667, IoU.bicycle: 0.6126, IoU.lake: 0.6329, IoU.dishwasher: 0.7439, IoU.screen: 0.5938, IoU.blanket: 0.2129, IoU.sculpture: 0.6738, IoU.hood: 0.5712, IoU.sconce: 0.5752, IoU.vase: 0.4659, IoU.traffic light: 0.3579, IoU.tray: 0.1795, IoU.ashcan: 0.5011, IoU.fan: 0.6116, IoU.pier: 0.3435, IoU.crt screen: 0.0808, IoU.plate: 0.5808, IoU.monitor: 0.2469, IoU.bulletin board: 0.6010, IoU.shower: 0.0958, IoU.radiator: 0.6167, IoU.glass: 0.1879, IoU.clock: 0.4088, IoU.flag: 0.6439, Acc.wall: 0.8859, Acc.building: 0.9296, Acc.sky: 0.9746, Acc.floor: 0.9209, Acc.tree: 0.8914, Acc.ceiling: 0.9263, Acc.road: 0.8982, Acc.bed : 0.9712, Acc.windowpane: 0.8192, Acc.grass: 0.8347, Acc.cabinet: 0.7321, Acc.sidewalk: 0.8540, Acc.person: 0.9279, Acc.earth: 0.5860, Acc.door: 0.6968, Acc.table: 0.8032, Acc.mountain: 0.7394, Acc.plant: 0.6854, Acc.curtain: 0.8882, Acc.chair: 0.7513, Acc.car: 0.9447, Acc.water: 0.7130, Acc.painting: 0.8866, Acc.sofa: 0.9047, Acc.shelf: 0.6524, Acc.house: 0.8461, Acc.sea: 0.9105, Acc.mirror: 0.8618, Acc.rug: 0.6556, Acc.field: 0.4521, Acc.armchair: 0.8175, Acc.seat: 0.8763, Acc.fence: 0.7257, Acc.desk: 0.7470, Acc.rock: 0.8512, Acc.wardrobe: 0.7981, Acc.lamp: 0.8443, Acc.bathtub: 0.9069, Acc.railing: 0.6175, Acc.cushion: 0.7681, Acc.base: 0.4545, Acc.box: 0.5246, Acc.column: 0.5779, Acc.signboard: 0.5355, Acc.chest of drawers: 0.6428, Acc.counter: 0.5909, Acc.sand: 0.8318, Acc.sink: 0.8604, Acc.skyscraper: 0.5492, Acc.fireplace: 0.9511, Acc.refrigerator: 0.9224, Acc.grandstand: 0.8053, Acc.path: 0.3319, Acc.stairs: 0.4034, Acc.runway: 0.9171, Acc.case: 0.8335, Acc.pool table: 0.9722, Acc.pillow: 0.7394, Acc.screen door: 0.8312, Acc.stairway: 0.6311, Acc.river: 0.2567, Acc.bridge: 0.8154, Acc.bookcase: 0.5642, Acc.blind: 0.4833, Acc.coffee table: 0.8526, Acc.toilet: 0.9236, Acc.flower: 0.5489, Acc.book: 0.7236, Acc.hill: 0.1376, Acc.bench: 0.6189, Acc.countertop: 0.7992, Acc.stove: 0.8865, Acc.palm: 0.8061, Acc.kitchen island: 0.8482, Acc.computer: 0.9059, Acc.swivel chair: 0.5763, Acc.boat: 0.9006, Acc.bar: 0.8007, Acc.arcade machine: 0.6423, Acc.hovel: 0.3666, Acc.bus: 0.9600, Acc.towel: 0.7683, Acc.light: 0.6557, Acc.truck: 0.6222, Acc.tower: 0.3801, Acc.chandelier: 0.8209, Acc.awning: 0.4758, Acc.streetlight: 0.3128, Acc.booth: 0.7430, Acc.television receiver: 0.9020, Acc.airplane: 0.9490, Acc.dirt track: 0.1452, Acc.apparel: 0.5575, Acc.pole: 0.2977, Acc.land: 0.0768, Acc.bannister: 0.1905, Acc.escalator: 0.7811, Acc.ottoman: 0.7758, Acc.bottle: 0.6445, Acc.buffet: 0.7714, Acc.poster: 0.4954, Acc.stage: 0.5206, Acc.van: 0.6268, Acc.ship: 0.7467, Acc.fountain: 0.2343, Acc.conveyer belt: 0.9413, Acc.canopy: 0.6208, Acc.washer: 0.8573, Acc.plaything: 0.4503, Acc.swimming pool: 0.7057, Acc.stool: 0.6375, Acc.barrel: 0.6504, Acc.basket: 0.6309, Acc.waterfall: 0.6027, Acc.tent: 0.9686, Acc.bag: 0.2528, Acc.minibike: 0.8596, Acc.cradle: 0.9677, Acc.oven: 0.7793, Acc.ball: 0.3686, Acc.food: 0.7409, Acc.step: 0.1259, Acc.tank: 0.6605, Acc.trade name: 0.1738, Acc.microwave: 0.9548, Acc.pot: 0.6739, Acc.animal: 0.6915, Acc.bicycle: 0.8331, Acc.lake: 0.6376, Acc.dishwasher: 0.8276, Acc.screen: 0.9006, Acc.blanket: 0.2347, Acc.sculpture: 0.8039, Acc.hood: 0.6711, Acc.sconce: 0.7069, Acc.vase: 0.6278, Acc.traffic light: 0.5803, Acc.tray: 0.2278, Acc.ashcan: 0.6381, Acc.fan: 0.6945, Acc.pier: 0.4439, Acc.crt screen: 0.1850, Acc.plate: 0.7812, Acc.monitor: 0.2836, Acc.bulletin board: 0.7138, Acc.shower: 0.1566, Acc.radiator: 0.8142, Acc.glass: 0.1988, Acc.clock: 0.5484, Acc.flag: 0.7298 2023-11-02 13:04:05,940 - mmseg - INFO - Iter [30050/80000] lr: 2.023e-06, eta: 18:29:50, time: 2.362, data_time: 1.154, memory: 38534, decode.loss_ce: 0.2177, decode.acc_seg: 91.0590, loss: 0.2177 2023-11-02 13:05:06,639 - mmseg - INFO - Iter [30100/80000] lr: 2.021e-06, eta: 18:28:33, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2216, decode.acc_seg: 90.7247, loss: 0.2216 2023-11-02 13:06:07,403 - mmseg - INFO - Iter [30150/80000] lr: 2.019e-06, eta: 18:27:17, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2263, decode.acc_seg: 90.6461, loss: 0.2263 2023-11-02 13:07:08,120 - mmseg - INFO - Iter [30200/80000] lr: 2.017e-06, eta: 18:26:00, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2188, decode.acc_seg: 90.6405, loss: 0.2188 2023-11-02 13:08:08,757 - mmseg - INFO - Iter [30250/80000] lr: 2.015e-06, eta: 18:24:44, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2303, decode.acc_seg: 90.3170, loss: 0.2303 2023-11-02 13:09:09,422 - mmseg - INFO - Iter [30300/80000] lr: 2.013e-06, eta: 18:23:28, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2326, decode.acc_seg: 90.3767, loss: 0.2326 2023-11-02 13:10:12,645 - mmseg - INFO - Iter [30350/80000] lr: 2.011e-06, eta: 18:22:15, time: 1.264, data_time: 0.056, memory: 38534, decode.loss_ce: 0.2164, decode.acc_seg: 90.8246, loss: 0.2164 2023-11-02 13:11:13,375 - mmseg - INFO - Iter [30400/80000] lr: 2.009e-06, eta: 18:20:59, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2220, decode.acc_seg: 90.9687, loss: 0.2220 2023-11-02 13:12:14,090 - mmseg - INFO - Iter [30450/80000] lr: 2.007e-06, eta: 18:19:43, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2140, decode.acc_seg: 91.0871, loss: 0.2140 2023-11-02 13:13:14,778 - mmseg - INFO - Iter [30500/80000] lr: 2.005e-06, eta: 18:18:27, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2276, decode.acc_seg: 90.8718, loss: 0.2276 2023-11-02 13:14:15,448 - mmseg - INFO - Iter [30550/80000] lr: 2.003e-06, eta: 18:17:11, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2171, decode.acc_seg: 90.9937, loss: 0.2171 2023-11-02 13:15:16,160 - mmseg - INFO - Iter [30600/80000] lr: 2.001e-06, eta: 18:15:55, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2129, decode.acc_seg: 91.1866, loss: 0.2129 2023-11-02 13:16:16,893 - mmseg - INFO - Iter [30650/80000] lr: 1.999e-06, eta: 18:14:39, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2143, decode.acc_seg: 91.3260, loss: 0.2143 2023-11-02 13:17:17,636 - mmseg - INFO - Iter [30700/80000] lr: 1.997e-06, eta: 18:13:23, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2277, decode.acc_seg: 90.8428, loss: 0.2277 2023-11-02 13:18:18,368 - mmseg - INFO - Iter [30750/80000] lr: 1.995e-06, eta: 18:12:07, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2139, decode.acc_seg: 91.3870, loss: 0.2139 2023-11-02 13:19:19,136 - mmseg - INFO - Iter [30800/80000] lr: 1.993e-06, eta: 18:10:51, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2316, decode.acc_seg: 90.7132, loss: 0.2316 2023-11-02 13:20:19,878 - mmseg - INFO - Iter [30850/80000] lr: 1.990e-06, eta: 18:09:36, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2331, decode.acc_seg: 90.3179, loss: 0.2331 2023-11-02 13:21:20,536 - mmseg - INFO - Iter [30900/80000] lr: 1.988e-06, eta: 18:08:20, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2377, decode.acc_seg: 90.7378, loss: 0.2377 2023-11-02 13:22:21,269 - mmseg - INFO - Iter [30950/80000] lr: 1.986e-06, eta: 18:07:04, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2229, decode.acc_seg: 90.5593, loss: 0.2229 2023-11-02 13:23:22,011 - mmseg - INFO - Saving checkpoint at 31000 iterations 2023-11-02 13:24:16,038 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 13:24:16,038 - mmseg - INFO - Iter [31000/80000] lr: 1.984e-06, eta: 18:07:14, time: 2.295, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2177, decode.acc_seg: 91.0614, loss: 0.2177 2023-11-02 13:25:11,852 - mmseg - INFO - per class results: 2023-11-02 13:25:11,857 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 80.27 | 89.12 | | building | 84.15 | 92.39 | | sky | 94.43 | 97.28 | | floor | 84.18 | 90.76 | | tree | 76.62 | 88.63 | | ceiling | 86.17 | 93.84 | | road | 86.2 | 90.36 | | bed | 91.43 | 96.98 | | windowpane | 66.52 | 79.96 | | grass | 66.48 | 78.31 | | cabinet | 64.95 | 72.77 | | sidewalk | 69.22 | 87.29 | | person | 83.56 | 91.86 | | earth | 42.41 | 58.73 | | door | 57.86 | 72.27 | | table | 67.99 | 84.39 | | mountain | 62.04 | 73.93 | | plant | 54.84 | 66.04 | | curtain | 76.43 | 89.73 | | chair | 62.43 | 75.48 | | car | 86.94 | 93.54 | | water | 61.46 | 77.68 | | painting | 78.49 | 88.36 | | sofa | 81.68 | 90.51 | | shelf | 49.08 | 69.11 | | house | 56.71 | 77.98 | | sea | 72.8 | 92.07 | | mirror | 76.73 | 86.81 | | rug | 70.62 | 81.64 | | field | 29.98 | 53.76 | | armchair | 62.34 | 80.86 | | seat | 60.99 | 88.2 | | fence | 51.3 | 73.86 | | desk | 51.89 | 76.02 | | rock | 56.45 | 78.07 | | wardrobe | 53.91 | 77.34 | | lamp | 70.09 | 81.72 | | bathtub | 84.25 | 87.84 | | railing | 45.73 | 65.59 | | cushion | 66.31 | 77.42 | | base | 38.02 | 49.68 | | box | 37.27 | 56.33 | | column | 50.44 | 63.04 | | signboard | 41.85 | 54.43 | | chest of drawers | 47.51 | 76.75 | | counter | 37.16 | 51.12 | | sand | 56.58 | 86.76 | | sink | 78.31 | 85.42 | | skyscraper | 49.91 | 61.32 | | fireplace | 72.37 | 93.11 | | refrigerator | 85.38 | 91.16 | | grandstand | 51.09 | 84.24 | | path | 31.31 | 41.53 | | stairs | 33.23 | 41.28 | | runway | 74.49 | 96.51 | | case | 55.91 | 73.59 | | pool table | 93.82 | 97.2 | | pillow | 62.23 | 72.21 | | screen door | 65.89 | 68.48 | | stairway | 45.0 | 55.21 | | river | 14.97 | 20.48 | | bridge | 62.52 | 69.04 | | bookcase | 41.55 | 61.97 | | blind | 39.4 | 45.04 | | coffee table | 64.93 | 87.0 | | toilet | 88.45 | 92.6 | | flower | 40.17 | 66.26 | | book | 47.01 | 60.12 | | hill | 11.43 | 14.5 | | bench | 51.77 | 58.02 | | countertop | 63.03 | 81.3 | | stove | 86.03 | 94.59 | | palm | 48.16 | 85.27 | | kitchen island | 46.22 | 75.0 | | computer | 77.88 | 88.96 | | swivel chair | 42.3 | 59.08 | | boat | 71.15 | 89.09 | | bar | 60.53 | 78.1 | | arcade machine | 77.05 | 80.17 | | hovel | 20.87 | 22.14 | | bus | 92.21 | 97.13 | | towel | 71.46 | 82.48 | | light | 46.81 | 54.4 | | truck | 48.13 | 61.45 | | tower | 29.92 | 52.36 | | chandelier | 69.56 | 82.33 | | awning | 41.63 | 52.74 | | streetlight | 29.38 | 42.1 | | booth | 43.64 | 57.61 | | television receiver | 75.3 | 86.9 | | airplane | 73.79 | 78.96 | | dirt track | 8.91 | 17.37 | | apparel | 45.03 | 54.58 | | pole | 23.57 | 36.97 | | land | 3.71 | 5.66 | | bannister | 17.14 | 21.71 | | escalator | 54.24 | 66.78 | | ottoman | 55.56 | 75.84 | | bottle | 30.01 | 37.51 | | buffet | 57.74 | 65.44 | | poster | 39.47 | 45.41 | | stage | 17.58 | 28.25 | | van | 51.98 | 71.21 | | ship | 81.24 | 87.1 | | fountain | 38.26 | 38.46 | | conveyer belt | 79.49 | 93.41 | | canopy | 39.97 | 55.32 | | washer | 78.81 | 83.55 | | plaything | 32.46 | 42.67 | | swimming pool | 48.36 | 74.21 | | stool | 52.02 | 61.38 | | barrel | 45.94 | 65.02 | | basket | 39.45 | 50.45 | | waterfall | 55.16 | 65.62 | | tent | 94.8 | 98.61 | | bag | 18.46 | 20.44 | | minibike | 72.83 | 88.65 | | cradle | 83.75 | 97.46 | | oven | 69.19 | 73.52 | | ball | 27.65 | 29.0 | | food | 61.37 | 66.96 | | step | 11.13 | 13.14 | | tank | 63.76 | 66.22 | | trade name | 27.0 | 30.63 | | microwave | 89.98 | 94.42 | | pot | 57.44 | 65.21 | | animal | 64.6 | 66.18 | | bicycle | 60.94 | 82.2 | | lake | 60.61 | 65.79 | | dishwasher | 73.39 | 82.52 | | screen | 60.69 | 89.91 | | blanket | 21.69 | 24.95 | | sculpture | 73.0 | 82.73 | | hood | 57.31 | 67.48 | | sconce | 56.14 | 70.46 | | vase | 46.36 | 59.73 | | traffic light | 36.35 | 57.82 | | tray | 17.69 | 30.03 | | ashcan | 51.78 | 62.92 | | fan | 63.74 | 75.97 | | pier | 38.95 | 44.99 | | crt screen | 1.38 | 3.63 | | plate | 56.86 | 69.46 | | monitor | 11.35 | 12.26 | | bulletin board | 56.45 | 69.78 | | shower | 10.27 | 11.41 | | radiator | 64.73 | 76.26 | | glass | 18.99 | 20.52 | | clock | 45.18 | 56.63 | | flag | 55.55 | 62.52 | +---------------------+-------+-------+ 2023-11-02 13:25:11,857 - mmseg - INFO - Summary: 2023-11-02 13:25:11,858 - mmseg - INFO - +-------+-------+------+ | aAcc | mIoU | mAcc | +-------+-------+------+ | 85.42 | 55.26 | 67.2 | +-------+-------+------+ 2023-11-02 13:25:11,858 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 13:25:11,859 - mmseg - INFO - Iter(val) [250] aAcc: 0.8542, mIoU: 0.5526, mAcc: 0.6720, IoU.wall: 0.8027, IoU.building: 0.8415, IoU.sky: 0.9443, IoU.floor: 0.8418, IoU.tree: 0.7662, IoU.ceiling: 0.8617, IoU.road: 0.8620, IoU.bed : 0.9143, IoU.windowpane: 0.6652, IoU.grass: 0.6648, IoU.cabinet: 0.6495, IoU.sidewalk: 0.6922, IoU.person: 0.8356, IoU.earth: 0.4241, IoU.door: 0.5786, IoU.table: 0.6799, IoU.mountain: 0.6204, IoU.plant: 0.5484, IoU.curtain: 0.7643, IoU.chair: 0.6243, IoU.car: 0.8694, IoU.water: 0.6146, IoU.painting: 0.7849, IoU.sofa: 0.8168, IoU.shelf: 0.4908, IoU.house: 0.5671, IoU.sea: 0.7280, IoU.mirror: 0.7673, IoU.rug: 0.7062, IoU.field: 0.2998, IoU.armchair: 0.6234, IoU.seat: 0.6099, IoU.fence: 0.5130, IoU.desk: 0.5189, IoU.rock: 0.5645, IoU.wardrobe: 0.5391, IoU.lamp: 0.7009, IoU.bathtub: 0.8425, IoU.railing: 0.4573, IoU.cushion: 0.6631, IoU.base: 0.3802, IoU.box: 0.3727, IoU.column: 0.5044, IoU.signboard: 0.4185, IoU.chest of drawers: 0.4751, IoU.counter: 0.3716, IoU.sand: 0.5658, IoU.sink: 0.7831, IoU.skyscraper: 0.4991, IoU.fireplace: 0.7237, IoU.refrigerator: 0.8538, IoU.grandstand: 0.5109, IoU.path: 0.3131, IoU.stairs: 0.3323, IoU.runway: 0.7449, IoU.case: 0.5591, IoU.pool table: 0.9382, IoU.pillow: 0.6223, IoU.screen door: 0.6589, IoU.stairway: 0.4500, IoU.river: 0.1497, IoU.bridge: 0.6252, IoU.bookcase: 0.4155, IoU.blind: 0.3940, IoU.coffee table: 0.6493, IoU.toilet: 0.8845, IoU.flower: 0.4017, IoU.book: 0.4701, IoU.hill: 0.1143, IoU.bench: 0.5177, IoU.countertop: 0.6303, IoU.stove: 0.8603, IoU.palm: 0.4816, IoU.kitchen island: 0.4622, IoU.computer: 0.7788, IoU.swivel chair: 0.4230, IoU.boat: 0.7115, IoU.bar: 0.6053, IoU.arcade machine: 0.7705, IoU.hovel: 0.2087, IoU.bus: 0.9221, IoU.towel: 0.7146, IoU.light: 0.4681, IoU.truck: 0.4813, IoU.tower: 0.2992, IoU.chandelier: 0.6956, IoU.awning: 0.4163, IoU.streetlight: 0.2938, IoU.booth: 0.4364, IoU.television receiver: 0.7530, IoU.airplane: 0.7379, IoU.dirt track: 0.0891, IoU.apparel: 0.4503, IoU.pole: 0.2357, IoU.land: 0.0371, IoU.bannister: 0.1714, IoU.escalator: 0.5424, IoU.ottoman: 0.5556, IoU.bottle: 0.3001, IoU.buffet: 0.5774, IoU.poster: 0.3947, IoU.stage: 0.1758, IoU.van: 0.5198, IoU.ship: 0.8124, IoU.fountain: 0.3826, IoU.conveyer belt: 0.7949, IoU.canopy: 0.3997, IoU.washer: 0.7881, IoU.plaything: 0.3246, IoU.swimming pool: 0.4836, IoU.stool: 0.5202, IoU.barrel: 0.4594, IoU.basket: 0.3945, IoU.waterfall: 0.5516, IoU.tent: 0.9480, IoU.bag: 0.1846, IoU.minibike: 0.7283, IoU.cradle: 0.8375, IoU.oven: 0.6919, IoU.ball: 0.2765, IoU.food: 0.6137, IoU.step: 0.1113, IoU.tank: 0.6376, IoU.trade name: 0.2700, IoU.microwave: 0.8998, IoU.pot: 0.5744, IoU.animal: 0.6460, IoU.bicycle: 0.6094, IoU.lake: 0.6061, IoU.dishwasher: 0.7339, IoU.screen: 0.6069, IoU.blanket: 0.2169, IoU.sculpture: 0.7300, IoU.hood: 0.5731, IoU.sconce: 0.5614, IoU.vase: 0.4636, IoU.traffic light: 0.3635, IoU.tray: 0.1769, IoU.ashcan: 0.5178, IoU.fan: 0.6374, IoU.pier: 0.3895, IoU.crt screen: 0.0138, IoU.plate: 0.5686, IoU.monitor: 0.1135, IoU.bulletin board: 0.5645, IoU.shower: 0.1027, IoU.radiator: 0.6473, IoU.glass: 0.1899, IoU.clock: 0.4518, IoU.flag: 0.5555, Acc.wall: 0.8912, Acc.building: 0.9239, Acc.sky: 0.9728, Acc.floor: 0.9076, Acc.tree: 0.8863, Acc.ceiling: 0.9384, Acc.road: 0.9036, Acc.bed : 0.9698, Acc.windowpane: 0.7996, Acc.grass: 0.7831, Acc.cabinet: 0.7277, Acc.sidewalk: 0.8729, Acc.person: 0.9186, Acc.earth: 0.5873, Acc.door: 0.7227, Acc.table: 0.8439, Acc.mountain: 0.7393, Acc.plant: 0.6604, Acc.curtain: 0.8973, Acc.chair: 0.7548, Acc.car: 0.9354, Acc.water: 0.7768, Acc.painting: 0.8836, Acc.sofa: 0.9051, Acc.shelf: 0.6911, Acc.house: 0.7798, Acc.sea: 0.9207, Acc.mirror: 0.8681, Acc.rug: 0.8164, Acc.field: 0.5376, Acc.armchair: 0.8086, Acc.seat: 0.8820, Acc.fence: 0.7386, Acc.desk: 0.7602, Acc.rock: 0.7807, Acc.wardrobe: 0.7734, Acc.lamp: 0.8172, Acc.bathtub: 0.8784, Acc.railing: 0.6559, Acc.cushion: 0.7742, Acc.base: 0.4968, Acc.box: 0.5633, Acc.column: 0.6304, Acc.signboard: 0.5443, Acc.chest of drawers: 0.7675, Acc.counter: 0.5112, Acc.sand: 0.8676, Acc.sink: 0.8542, Acc.skyscraper: 0.6132, Acc.fireplace: 0.9311, Acc.refrigerator: 0.9116, Acc.grandstand: 0.8424, Acc.path: 0.4153, Acc.stairs: 0.4128, Acc.runway: 0.9651, Acc.case: 0.7359, Acc.pool table: 0.9720, Acc.pillow: 0.7221, Acc.screen door: 0.6848, Acc.stairway: 0.5521, Acc.river: 0.2048, Acc.bridge: 0.6904, Acc.bookcase: 0.6197, Acc.blind: 0.4504, Acc.coffee table: 0.8700, Acc.toilet: 0.9260, Acc.flower: 0.6626, Acc.book: 0.6012, Acc.hill: 0.1450, Acc.bench: 0.5802, Acc.countertop: 0.8130, Acc.stove: 0.9459, Acc.palm: 0.8527, Acc.kitchen island: 0.7500, Acc.computer: 0.8896, Acc.swivel chair: 0.5908, Acc.boat: 0.8909, Acc.bar: 0.7810, Acc.arcade machine: 0.8017, Acc.hovel: 0.2214, Acc.bus: 0.9713, Acc.towel: 0.8248, Acc.light: 0.5440, Acc.truck: 0.6145, Acc.tower: 0.5236, Acc.chandelier: 0.8233, Acc.awning: 0.5274, Acc.streetlight: 0.4210, Acc.booth: 0.5761, Acc.television receiver: 0.8690, Acc.airplane: 0.7896, Acc.dirt track: 0.1737, Acc.apparel: 0.5458, Acc.pole: 0.3697, Acc.land: 0.0566, Acc.bannister: 0.2171, Acc.escalator: 0.6678, Acc.ottoman: 0.7584, Acc.bottle: 0.3751, Acc.buffet: 0.6544, Acc.poster: 0.4541, Acc.stage: 0.2825, Acc.van: 0.7121, Acc.ship: 0.8710, Acc.fountain: 0.3846, Acc.conveyer belt: 0.9341, Acc.canopy: 0.5532, Acc.washer: 0.8355, Acc.plaything: 0.4267, Acc.swimming pool: 0.7421, Acc.stool: 0.6138, Acc.barrel: 0.6502, Acc.basket: 0.5045, Acc.waterfall: 0.6562, Acc.tent: 0.9861, Acc.bag: 0.2044, Acc.minibike: 0.8865, Acc.cradle: 0.9746, Acc.oven: 0.7352, Acc.ball: 0.2900, Acc.food: 0.6696, Acc.step: 0.1314, Acc.tank: 0.6622, Acc.trade name: 0.3063, Acc.microwave: 0.9442, Acc.pot: 0.6521, Acc.animal: 0.6618, Acc.bicycle: 0.8220, Acc.lake: 0.6579, Acc.dishwasher: 0.8252, Acc.screen: 0.8991, Acc.blanket: 0.2495, Acc.sculpture: 0.8273, Acc.hood: 0.6748, Acc.sconce: 0.7046, Acc.vase: 0.5973, Acc.traffic light: 0.5782, Acc.tray: 0.3003, Acc.ashcan: 0.6292, Acc.fan: 0.7597, Acc.pier: 0.4499, Acc.crt screen: 0.0363, Acc.plate: 0.6946, Acc.monitor: 0.1226, Acc.bulletin board: 0.6978, Acc.shower: 0.1141, Acc.radiator: 0.7626, Acc.glass: 0.2052, Acc.clock: 0.5663, Acc.flag: 0.6252 2023-11-02 13:26:12,680 - mmseg - INFO - Iter [31050/80000] lr: 1.982e-06, eta: 18:07:26, time: 2.333, data_time: 1.124, memory: 38534, decode.loss_ce: 0.2130, decode.acc_seg: 91.0668, loss: 0.2130 2023-11-02 13:27:13,487 - mmseg - INFO - Iter [31100/80000] lr: 1.980e-06, eta: 18:06:11, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2193, decode.acc_seg: 90.9111, loss: 0.2193 2023-11-02 13:28:14,251 - mmseg - INFO - Iter [31150/80000] lr: 1.978e-06, eta: 18:04:55, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2195, decode.acc_seg: 91.0055, loss: 0.2195 2023-11-02 13:29:14,987 - mmseg - INFO - Iter [31200/80000] lr: 1.976e-06, eta: 18:03:39, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2334, decode.acc_seg: 90.5618, loss: 0.2334 2023-11-02 13:30:15,739 - mmseg - INFO - Iter [31250/80000] lr: 1.974e-06, eta: 18:02:23, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2127, decode.acc_seg: 91.1760, loss: 0.2127 2023-11-02 13:31:16,503 - mmseg - INFO - Iter [31300/80000] lr: 1.972e-06, eta: 18:01:07, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2222, decode.acc_seg: 90.8579, loss: 0.2222 2023-11-02 13:32:17,311 - mmseg - INFO - Iter [31350/80000] lr: 1.970e-06, eta: 17:59:52, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2336, decode.acc_seg: 90.1439, loss: 0.2336 2023-11-02 13:33:18,083 - mmseg - INFO - Iter [31400/80000] lr: 1.968e-06, eta: 17:58:36, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2198, decode.acc_seg: 91.0116, loss: 0.2198 2023-11-02 13:34:18,883 - mmseg - INFO - Iter [31450/80000] lr: 1.966e-06, eta: 17:57:21, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2280, decode.acc_seg: 90.5278, loss: 0.2280 2023-11-02 13:35:19,677 - mmseg - INFO - Iter [31500/80000] lr: 1.964e-06, eta: 17:56:05, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2303, decode.acc_seg: 90.5387, loss: 0.2303 2023-11-02 13:36:20,385 - mmseg - INFO - Iter [31550/80000] lr: 1.962e-06, eta: 17:54:50, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2252, decode.acc_seg: 90.9938, loss: 0.2252 2023-11-02 13:37:23,519 - mmseg - INFO - Iter [31600/80000] lr: 1.960e-06, eta: 17:53:38, time: 1.263, data_time: 0.052, memory: 38534, decode.loss_ce: 0.2184, decode.acc_seg: 90.8672, loss: 0.2184 2023-11-02 13:38:24,285 - mmseg - INFO - Iter [31650/80000] lr: 1.958e-06, eta: 17:52:23, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2192, decode.acc_seg: 91.1404, loss: 0.2192 2023-11-02 13:39:25,035 - mmseg - INFO - Iter [31700/80000] lr: 1.956e-06, eta: 17:51:07, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2092, decode.acc_seg: 91.5666, loss: 0.2092 2023-11-02 13:40:25,831 - mmseg - INFO - Iter [31750/80000] lr: 1.954e-06, eta: 17:49:52, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2247, decode.acc_seg: 90.8073, loss: 0.2247 2023-11-02 13:41:26,595 - mmseg - INFO - Iter [31800/80000] lr: 1.952e-06, eta: 17:48:37, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2082, decode.acc_seg: 91.4244, loss: 0.2082 2023-11-02 13:42:27,368 - mmseg - INFO - Iter [31850/80000] lr: 1.950e-06, eta: 17:47:22, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2102, decode.acc_seg: 91.2587, loss: 0.2102 2023-11-02 13:43:28,132 - mmseg - INFO - Iter [31900/80000] lr: 1.948e-06, eta: 17:46:06, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2067, decode.acc_seg: 91.5213, loss: 0.2067 2023-11-02 13:44:28,894 - mmseg - INFO - Iter [31950/80000] lr: 1.946e-06, eta: 17:44:51, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2284, decode.acc_seg: 90.6662, loss: 0.2284 2023-11-02 13:45:29,655 - mmseg - INFO - Saving checkpoint at 32000 iterations 2023-11-02 13:46:28,658 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 13:46:28,658 - mmseg - INFO - Iter [32000/80000] lr: 1.944e-06, eta: 17:45:05, time: 2.395, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2066, decode.acc_seg: 91.4261, loss: 0.2066 2023-11-02 13:47:29,750 - mmseg - INFO - per class results: 2023-11-02 13:47:29,755 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 80.36 | 89.03 | | building | 83.54 | 92.9 | | sky | 94.35 | 97.71 | | floor | 84.11 | 91.12 | | tree | 76.18 | 89.31 | | ceiling | 86.09 | 94.38 | | road | 86.23 | 92.84 | | bed | 91.91 | 97.43 | | windowpane | 66.53 | 79.51 | | grass | 67.86 | 83.22 | | cabinet | 64.31 | 72.89 | | sidewalk | 68.44 | 78.28 | | person | 83.75 | 93.35 | | earth | 42.96 | 57.4 | | door | 61.01 | 73.8 | | table | 68.99 | 82.31 | | mountain | 58.75 | 66.14 | | plant | 55.84 | 68.13 | | curtain | 78.94 | 89.42 | | chair | 62.72 | 76.41 | | car | 86.46 | 93.59 | | water | 59.3 | 75.26 | | painting | 76.78 | 89.5 | | sofa | 80.72 | 92.76 | | shelf | 46.99 | 63.71 | | house | 46.47 | 53.58 | | sea | 68.51 | 85.22 | | mirror | 76.74 | 88.94 | | rug | 64.77 | 73.77 | | field | 30.81 | 49.39 | | armchair | 60.83 | 75.47 | | seat | 63.52 | 87.2 | | fence | 51.06 | 70.91 | | desk | 54.53 | 82.36 | | rock | 56.47 | 83.92 | | wardrobe | 54.16 | 76.72 | | lamp | 69.87 | 82.68 | | bathtub | 87.65 | 90.17 | | railing | 42.7 | 63.59 | | cushion | 64.75 | 75.05 | | base | 37.39 | 50.28 | | box | 38.12 | 49.35 | | column | 49.34 | 61.59 | | signboard | 39.32 | 49.65 | | chest of drawers | 47.59 | 76.34 | | counter | 35.41 | 43.31 | | sand | 61.7 | 86.93 | | sink | 81.2 | 87.95 | | skyscraper | 49.46 | 64.5 | | fireplace | 69.01 | 95.28 | | refrigerator | 84.73 | 93.4 | | grandstand | 60.38 | 84.38 | | path | 28.25 | 47.3 | | stairs | 37.01 | 46.3 | | runway | 69.17 | 88.29 | | case | 58.92 | 81.61 | | pool table | 93.83 | 97.36 | | pillow | 61.21 | 72.05 | | screen door | 81.89 | 84.66 | | stairway | 40.12 | 59.79 | | river | 11.34 | 19.66 | | bridge | 64.82 | 73.44 | | bookcase | 40.19 | 55.04 | | blind | 42.11 | 48.58 | | coffee table | 64.96 | 84.91 | | toilet | 88.68 | 91.96 | | flower | 37.23 | 56.7 | | book | 50.39 | 75.42 | | hill | 10.69 | 12.66 | | bench | 51.36 | 56.16 | | countertop | 65.55 | 82.51 | | stove | 83.65 | 92.07 | | palm | 53.62 | 75.82 | | kitchen island | 44.71 | 72.19 | | computer | 78.58 | 88.55 | | swivel chair | 45.46 | 70.7 | | boat | 55.32 | 70.91 | | bar | 59.28 | 81.74 | | arcade machine | 74.75 | 78.25 | | hovel | 54.1 | 58.91 | | bus | 92.6 | 96.4 | | towel | 76.04 | 84.16 | | light | 49.88 | 58.6 | | truck | 46.81 | 58.55 | | tower | 35.28 | 68.85 | | chandelier | 70.43 | 82.45 | | awning | 38.11 | 48.29 | | streetlight | 28.87 | 37.27 | | booth | 42.25 | 44.46 | | television receiver | 72.7 | 90.76 | | airplane | 70.72 | 76.37 | | dirt track | 0.05 | 0.08 | | apparel | 56.3 | 79.04 | | pole | 25.01 | 37.04 | | land | 3.11 | 4.09 | | bannister | 16.5 | 21.81 | | escalator | 42.74 | 51.74 | | ottoman | 38.09 | 49.74 | | bottle | 38.99 | 50.66 | | buffet | 54.01 | 65.41 | | poster | 39.04 | 46.08 | | stage | 15.86 | 37.28 | | van | 45.11 | 65.23 | | ship | 52.21 | 65.65 | | fountain | 25.92 | 26.01 | | conveyer belt | 84.54 | 92.64 | | canopy | 57.39 | 75.5 | | washer | 87.46 | 93.13 | | plaything | 32.75 | 47.64 | | swimming pool | 52.46 | 75.32 | | stool | 54.07 | 70.31 | | barrel | 46.02 | 79.47 | | basket | 42.86 | 60.77 | | waterfall | 51.47 | 58.91 | | tent | 94.12 | 98.25 | | bag | 24.58 | 28.52 | | minibike | 75.12 | 86.92 | | cradle | 82.29 | 96.59 | | oven | 66.78 | 78.46 | | ball | 42.05 | 45.78 | | food | 63.79 | 77.25 | | step | 10.2 | 12.82 | | tank | 62.97 | 66.87 | | trade name | 28.3 | 32.63 | | microwave | 89.67 | 95.57 | | pot | 58.79 | 67.67 | | animal | 69.48 | 72.24 | | bicycle | 60.46 | 76.42 | | lake | 60.82 | 72.74 | | dishwasher | 73.96 | 82.16 | | screen | 60.0 | 87.18 | | blanket | 27.21 | 30.24 | | sculpture | 72.59 | 81.22 | | hood | 55.88 | 65.06 | | sconce | 57.09 | 73.36 | | vase | 44.87 | 57.98 | | traffic light | 32.95 | 64.24 | | tray | 17.12 | 22.52 | | ashcan | 49.54 | 65.52 | | fan | 64.36 | 76.77 | | pier | 36.85 | 43.94 | | crt screen | 1.48 | 3.34 | | plate | 58.88 | 77.61 | | monitor | 21.84 | 25.27 | | bulletin board | 58.4 | 73.67 | | shower | 13.27 | 13.91 | | radiator | 66.05 | 77.43 | | glass | 19.47 | 21.37 | | clock | 43.79 | 52.76 | | flag | 66.52 | 73.6 | +---------------------+-------+-------+ 2023-11-02 13:47:29,755 - mmseg - INFO - Summary: 2023-11-02 13:47:29,755 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 85.43 | 55.49 | 67.76 | +-------+-------+-------+ 2023-11-02 13:47:29,756 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 13:47:29,756 - mmseg - INFO - Iter(val) [250] aAcc: 0.8543, mIoU: 0.5549, mAcc: 0.6776, IoU.wall: 0.8036, IoU.building: 0.8354, IoU.sky: 0.9435, IoU.floor: 0.8411, IoU.tree: 0.7618, IoU.ceiling: 0.8609, IoU.road: 0.8623, IoU.bed : 0.9191, IoU.windowpane: 0.6653, IoU.grass: 0.6786, IoU.cabinet: 0.6431, IoU.sidewalk: 0.6844, IoU.person: 0.8375, IoU.earth: 0.4296, IoU.door: 0.6101, IoU.table: 0.6899, IoU.mountain: 0.5875, IoU.plant: 0.5584, IoU.curtain: 0.7894, IoU.chair: 0.6272, IoU.car: 0.8646, IoU.water: 0.5930, IoU.painting: 0.7678, IoU.sofa: 0.8072, IoU.shelf: 0.4699, IoU.house: 0.4647, IoU.sea: 0.6851, IoU.mirror: 0.7674, IoU.rug: 0.6477, IoU.field: 0.3081, IoU.armchair: 0.6083, IoU.seat: 0.6352, IoU.fence: 0.5106, IoU.desk: 0.5453, IoU.rock: 0.5647, IoU.wardrobe: 0.5416, IoU.lamp: 0.6987, IoU.bathtub: 0.8765, IoU.railing: 0.4270, IoU.cushion: 0.6475, IoU.base: 0.3739, IoU.box: 0.3812, IoU.column: 0.4934, IoU.signboard: 0.3932, IoU.chest of drawers: 0.4759, IoU.counter: 0.3541, IoU.sand: 0.6170, IoU.sink: 0.8120, IoU.skyscraper: 0.4946, IoU.fireplace: 0.6901, IoU.refrigerator: 0.8473, IoU.grandstand: 0.6038, IoU.path: 0.2825, IoU.stairs: 0.3701, IoU.runway: 0.6917, IoU.case: 0.5892, IoU.pool table: 0.9383, IoU.pillow: 0.6121, IoU.screen door: 0.8189, IoU.stairway: 0.4012, IoU.river: 0.1134, IoU.bridge: 0.6482, IoU.bookcase: 0.4019, IoU.blind: 0.4211, IoU.coffee table: 0.6496, IoU.toilet: 0.8868, IoU.flower: 0.3723, IoU.book: 0.5039, IoU.hill: 0.1069, IoU.bench: 0.5136, IoU.countertop: 0.6555, IoU.stove: 0.8365, IoU.palm: 0.5362, IoU.kitchen island: 0.4471, IoU.computer: 0.7858, IoU.swivel chair: 0.4546, IoU.boat: 0.5532, IoU.bar: 0.5928, IoU.arcade machine: 0.7475, IoU.hovel: 0.5410, IoU.bus: 0.9260, IoU.towel: 0.7604, IoU.light: 0.4988, IoU.truck: 0.4681, IoU.tower: 0.3528, IoU.chandelier: 0.7043, IoU.awning: 0.3811, IoU.streetlight: 0.2887, IoU.booth: 0.4225, IoU.television receiver: 0.7270, IoU.airplane: 0.7072, IoU.dirt track: 0.0005, IoU.apparel: 0.5630, IoU.pole: 0.2501, IoU.land: 0.0311, IoU.bannister: 0.1650, IoU.escalator: 0.4274, IoU.ottoman: 0.3809, IoU.bottle: 0.3899, IoU.buffet: 0.5401, IoU.poster: 0.3904, IoU.stage: 0.1586, IoU.van: 0.4511, IoU.ship: 0.5221, IoU.fountain: 0.2592, IoU.conveyer belt: 0.8454, IoU.canopy: 0.5739, IoU.washer: 0.8746, IoU.plaything: 0.3275, IoU.swimming pool: 0.5246, IoU.stool: 0.5407, IoU.barrel: 0.4602, IoU.basket: 0.4286, IoU.waterfall: 0.5147, IoU.tent: 0.9412, IoU.bag: 0.2458, IoU.minibike: 0.7512, IoU.cradle: 0.8229, IoU.oven: 0.6678, IoU.ball: 0.4205, IoU.food: 0.6379, IoU.step: 0.1020, IoU.tank: 0.6297, IoU.trade name: 0.2830, IoU.microwave: 0.8967, IoU.pot: 0.5879, IoU.animal: 0.6948, IoU.bicycle: 0.6046, IoU.lake: 0.6082, IoU.dishwasher: 0.7396, IoU.screen: 0.6000, IoU.blanket: 0.2721, IoU.sculpture: 0.7259, IoU.hood: 0.5588, IoU.sconce: 0.5709, IoU.vase: 0.4487, IoU.traffic light: 0.3295, IoU.tray: 0.1712, IoU.ashcan: 0.4954, IoU.fan: 0.6436, IoU.pier: 0.3685, IoU.crt screen: 0.0148, IoU.plate: 0.5888, IoU.monitor: 0.2184, IoU.bulletin board: 0.5840, IoU.shower: 0.1327, IoU.radiator: 0.6605, IoU.glass: 0.1947, IoU.clock: 0.4379, IoU.flag: 0.6652, Acc.wall: 0.8903, Acc.building: 0.9290, Acc.sky: 0.9771, Acc.floor: 0.9112, Acc.tree: 0.8931, Acc.ceiling: 0.9438, Acc.road: 0.9284, Acc.bed : 0.9743, Acc.windowpane: 0.7951, Acc.grass: 0.8322, Acc.cabinet: 0.7289, Acc.sidewalk: 0.7828, Acc.person: 0.9335, Acc.earth: 0.5740, Acc.door: 0.7380, Acc.table: 0.8231, Acc.mountain: 0.6614, Acc.plant: 0.6813, Acc.curtain: 0.8942, Acc.chair: 0.7641, Acc.car: 0.9359, Acc.water: 0.7526, Acc.painting: 0.8950, Acc.sofa: 0.9276, Acc.shelf: 0.6371, Acc.house: 0.5358, Acc.sea: 0.8522, Acc.mirror: 0.8894, Acc.rug: 0.7377, Acc.field: 0.4939, Acc.armchair: 0.7547, Acc.seat: 0.8720, Acc.fence: 0.7091, Acc.desk: 0.8236, Acc.rock: 0.8392, Acc.wardrobe: 0.7672, Acc.lamp: 0.8268, Acc.bathtub: 0.9017, Acc.railing: 0.6359, Acc.cushion: 0.7505, Acc.base: 0.5028, Acc.box: 0.4935, Acc.column: 0.6159, Acc.signboard: 0.4965, Acc.chest of drawers: 0.7634, Acc.counter: 0.4331, Acc.sand: 0.8693, Acc.sink: 0.8795, Acc.skyscraper: 0.6450, Acc.fireplace: 0.9528, Acc.refrigerator: 0.9340, Acc.grandstand: 0.8438, Acc.path: 0.4730, Acc.stairs: 0.4630, Acc.runway: 0.8829, Acc.case: 0.8161, Acc.pool table: 0.9736, Acc.pillow: 0.7205, Acc.screen door: 0.8466, Acc.stairway: 0.5979, Acc.river: 0.1966, Acc.bridge: 0.7344, Acc.bookcase: 0.5504, Acc.blind: 0.4858, Acc.coffee table: 0.8491, Acc.toilet: 0.9196, Acc.flower: 0.5670, Acc.book: 0.7542, Acc.hill: 0.1266, Acc.bench: 0.5616, Acc.countertop: 0.8251, Acc.stove: 0.9207, Acc.palm: 0.7582, Acc.kitchen island: 0.7219, Acc.computer: 0.8855, Acc.swivel chair: 0.7070, Acc.boat: 0.7091, Acc.bar: 0.8174, Acc.arcade machine: 0.7825, Acc.hovel: 0.5891, Acc.bus: 0.9640, Acc.towel: 0.8416, Acc.light: 0.5860, Acc.truck: 0.5855, Acc.tower: 0.6885, Acc.chandelier: 0.8245, Acc.awning: 0.4829, Acc.streetlight: 0.3727, Acc.booth: 0.4446, Acc.television receiver: 0.9076, Acc.airplane: 0.7637, Acc.dirt track: 0.0008, Acc.apparel: 0.7904, Acc.pole: 0.3704, Acc.land: 0.0409, Acc.bannister: 0.2181, Acc.escalator: 0.5174, Acc.ottoman: 0.4974, Acc.bottle: 0.5066, Acc.buffet: 0.6541, Acc.poster: 0.4608, Acc.stage: 0.3728, Acc.van: 0.6523, Acc.ship: 0.6565, Acc.fountain: 0.2601, Acc.conveyer belt: 0.9264, Acc.canopy: 0.7550, Acc.washer: 0.9313, Acc.plaything: 0.4764, Acc.swimming pool: 0.7532, Acc.stool: 0.7031, Acc.barrel: 0.7947, Acc.basket: 0.6077, Acc.waterfall: 0.5891, Acc.tent: 0.9825, Acc.bag: 0.2852, Acc.minibike: 0.8692, Acc.cradle: 0.9659, Acc.oven: 0.7846, Acc.ball: 0.4578, Acc.food: 0.7725, Acc.step: 0.1282, Acc.tank: 0.6687, Acc.trade name: 0.3263, Acc.microwave: 0.9557, Acc.pot: 0.6767, Acc.animal: 0.7224, Acc.bicycle: 0.7642, Acc.lake: 0.7274, Acc.dishwasher: 0.8216, Acc.screen: 0.8718, Acc.blanket: 0.3024, Acc.sculpture: 0.8122, Acc.hood: 0.6506, Acc.sconce: 0.7336, Acc.vase: 0.5798, Acc.traffic light: 0.6424, Acc.tray: 0.2252, Acc.ashcan: 0.6552, Acc.fan: 0.7677, Acc.pier: 0.4394, Acc.crt screen: 0.0334, Acc.plate: 0.7761, Acc.monitor: 0.2527, Acc.bulletin board: 0.7367, Acc.shower: 0.1391, Acc.radiator: 0.7743, Acc.glass: 0.2137, Acc.clock: 0.5276, Acc.flag: 0.7360 2023-11-02 13:48:30,536 - mmseg - INFO - Iter [32050/80000] lr: 1.942e-06, eta: 17:45:21, time: 2.438, data_time: 1.229, memory: 38534, decode.loss_ce: 0.2138, decode.acc_seg: 91.1424, loss: 0.2138 2023-11-02 13:49:31,249 - mmseg - INFO - Iter [32100/80000] lr: 1.940e-06, eta: 17:44:05, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2171, decode.acc_seg: 91.3040, loss: 0.2171 2023-11-02 13:50:31,944 - mmseg - INFO - Iter [32150/80000] lr: 1.938e-06, eta: 17:42:50, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2240, decode.acc_seg: 90.7285, loss: 0.2240 2023-11-02 13:51:32,627 - mmseg - INFO - Iter [32200/80000] lr: 1.936e-06, eta: 17:41:34, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2091, decode.acc_seg: 91.1378, loss: 0.2091 2023-11-02 13:52:33,310 - mmseg - INFO - Iter [32250/80000] lr: 1.934e-06, eta: 17:40:19, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2088, decode.acc_seg: 91.2899, loss: 0.2088 2023-11-02 13:53:33,986 - mmseg - INFO - Iter [32300/80000] lr: 1.932e-06, eta: 17:39:04, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2046, decode.acc_seg: 91.4731, loss: 0.2046 2023-11-02 13:54:34,672 - mmseg - INFO - Iter [32350/80000] lr: 1.930e-06, eta: 17:37:48, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2233, decode.acc_seg: 90.3470, loss: 0.2233 2023-11-02 13:55:35,383 - mmseg - INFO - Iter [32400/80000] lr: 1.928e-06, eta: 17:36:33, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2212, decode.acc_seg: 91.0351, loss: 0.2212 2023-11-02 13:56:36,106 - mmseg - INFO - Iter [32450/80000] lr: 1.926e-06, eta: 17:35:18, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2307, decode.acc_seg: 90.4826, loss: 0.2307 2023-11-02 13:57:36,902 - mmseg - INFO - Iter [32500/80000] lr: 1.924e-06, eta: 17:34:03, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2124, decode.acc_seg: 91.1993, loss: 0.2124 2023-11-02 13:58:37,645 - mmseg - INFO - Iter [32550/80000] lr: 1.922e-06, eta: 17:32:48, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2118, decode.acc_seg: 91.5245, loss: 0.2118 2023-11-02 13:59:38,355 - mmseg - INFO - Iter [32600/80000] lr: 1.920e-06, eta: 17:31:33, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2125, decode.acc_seg: 91.1510, loss: 0.2125 2023-11-02 14:00:39,094 - mmseg - INFO - Iter [32650/80000] lr: 1.918e-06, eta: 17:30:18, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2093, decode.acc_seg: 91.3572, loss: 0.2093 2023-11-02 14:01:39,844 - mmseg - INFO - Iter [32700/80000] lr: 1.916e-06, eta: 17:29:03, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2150, decode.acc_seg: 90.9934, loss: 0.2150 2023-11-02 14:02:40,628 - mmseg - INFO - Iter [32750/80000] lr: 1.914e-06, eta: 17:27:48, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2163, decode.acc_seg: 91.0004, loss: 0.2163 2023-11-02 14:03:41,378 - mmseg - INFO - Iter [32800/80000] lr: 1.912e-06, eta: 17:26:33, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2390, decode.acc_seg: 90.3622, loss: 0.2390 2023-11-02 14:04:44,441 - mmseg - INFO - Iter [32850/80000] lr: 1.909e-06, eta: 17:25:22, time: 1.261, data_time: 0.051, memory: 38534, decode.loss_ce: 0.2173, decode.acc_seg: 91.0145, loss: 0.2173 2023-11-02 14:05:45,145 - mmseg - INFO - Iter [32900/80000] lr: 1.907e-06, eta: 17:24:07, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2201, decode.acc_seg: 91.0029, loss: 0.2201 2023-11-02 14:06:45,851 - mmseg - INFO - Iter [32950/80000] lr: 1.905e-06, eta: 17:22:52, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2048, decode.acc_seg: 91.6101, loss: 0.2048 2023-11-02 14:07:46,553 - mmseg - INFO - Saving checkpoint at 33000 iterations 2023-11-02 14:08:41,979 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 14:08:41,979 - mmseg - INFO - Iter [33000/80000] lr: 1.903e-06, eta: 17:22:56, time: 2.323, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2159, decode.acc_seg: 91.3216, loss: 0.2159 2023-11-02 14:09:45,901 - mmseg - INFO - per class results: 2023-11-02 14:09:45,910 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 80.35 | 88.83 | | building | 83.58 | 93.54 | | sky | 94.44 | 97.44 | | floor | 83.65 | 91.56 | | tree | 76.38 | 90.06 | | ceiling | 85.69 | 94.54 | | road | 86.87 | 90.65 | | bed | 91.95 | 97.69 | | windowpane | 66.66 | 80.64 | | grass | 66.44 | 81.36 | | cabinet | 65.73 | 75.62 | | sidewalk | 69.03 | 84.97 | | person | 83.37 | 92.47 | | earth | 42.32 | 56.62 | | door | 60.78 | 78.02 | | table | 69.32 | 82.18 | | mountain | 63.28 | 72.61 | | plant | 55.23 | 69.49 | | curtain | 76.88 | 87.97 | | chair | 62.39 | 73.31 | | car | 86.78 | 93.47 | | water | 63.19 | 79.79 | | painting | 78.33 | 87.21 | | sofa | 79.41 | 88.23 | | shelf | 45.83 | 60.94 | | house | 46.46 | 53.9 | | sea | 75.82 | 89.75 | | mirror | 75.98 | 85.86 | | rug | 64.22 | 75.32 | | field | 28.77 | 42.33 | | armchair | 60.56 | 83.35 | | seat | 63.61 | 86.81 | | fence | 51.62 | 70.87 | | desk | 57.43 | 76.1 | | rock | 58.57 | 84.89 | | wardrobe | 54.37 | 72.84 | | lamp | 69.57 | 83.79 | | bathtub | 85.74 | 87.91 | | railing | 43.23 | 61.32 | | cushion | 63.96 | 75.03 | | base | 38.28 | 51.13 | | box | 37.67 | 46.73 | | column | 49.03 | 65.2 | | signboard | 40.11 | 55.95 | | chest of drawers | 47.05 | 73.58 | | counter | 30.82 | 37.84 | | sand | 61.62 | 84.83 | | sink | 82.14 | 88.14 | | skyscraper | 44.4 | 51.86 | | fireplace | 71.38 | 93.69 | | refrigerator | 85.0 | 91.34 | | grandstand | 54.32 | 82.35 | | path | 31.95 | 41.73 | | stairs | 32.68 | 41.17 | | runway | 73.39 | 95.2 | | case | 62.68 | 85.23 | | pool table | 93.63 | 97.34 | | pillow | 58.37 | 66.7 | | screen door | 74.36 | 75.74 | | stairway | 46.15 | 64.22 | | river | 17.3 | 23.11 | | bridge | 62.58 | 71.59 | | bookcase | 40.74 | 62.4 | | blind | 38.56 | 43.46 | | coffee table | 64.85 | 86.64 | | toilet | 88.33 | 92.74 | | flower | 42.33 | 64.31 | | book | 49.85 | 68.19 | | hill | 17.89 | 23.03 | | bench | 53.81 | 60.45 | | countertop | 64.63 | 79.71 | | stove | 84.8 | 91.56 | | palm | 52.73 | 75.21 | | kitchen island | 53.13 | 69.38 | | computer | 77.27 | 90.18 | | swivel chair | 44.84 | 67.5 | | boat | 78.43 | 90.36 | | bar | 61.5 | 82.41 | | arcade machine | 73.18 | 76.32 | | hovel | 40.86 | 43.35 | | bus | 91.98 | 96.01 | | towel | 76.46 | 85.39 | | light | 49.02 | 58.76 | | truck | 47.77 | 58.97 | | tower | 21.62 | 36.72 | | chandelier | 70.6 | 84.32 | | awning | 34.38 | 42.77 | | streetlight | 26.51 | 36.98 | | booth | 50.47 | 52.22 | | television receiver | 71.82 | 87.92 | | airplane | 66.08 | 70.06 | | dirt track | 4.5 | 5.16 | | apparel | 51.16 | 82.68 | | pole | 23.8 | 34.17 | | land | 5.22 | 6.29 | | bannister | 15.08 | 20.52 | | escalator | 56.02 | 68.34 | | ottoman | 52.35 | 74.95 | | bottle | 41.85 | 69.32 | | buffet | 46.76 | 51.89 | | poster | 43.5 | 62.22 | | stage | 17.55 | 26.85 | | van | 47.15 | 73.25 | | ship | 69.71 | 71.47 | | fountain | 32.22 | 32.31 | | conveyer belt | 77.05 | 94.51 | | canopy | 41.46 | 55.62 | | washer | 88.44 | 93.74 | | plaything | 34.95 | 46.27 | | swimming pool | 51.57 | 72.82 | | stool | 53.02 | 67.15 | | barrel | 52.62 | 82.38 | | basket | 44.65 | 59.19 | | waterfall | 47.79 | 53.27 | | tent | 93.43 | 98.09 | | bag | 23.93 | 27.37 | | minibike | 74.48 | 86.31 | | cradle | 86.86 | 97.07 | | oven | 64.08 | 78.26 | | ball | 56.74 | 65.17 | | food | 63.41 | 74.73 | | step | 9.78 | 10.98 | | tank | 63.41 | 65.6 | | trade name | 24.82 | 27.31 | | microwave | 90.5 | 94.8 | | pot | 60.38 | 68.59 | | animal | 66.19 | 67.37 | | bicycle | 59.23 | 73.28 | | lake | 54.87 | 63.72 | | dishwasher | 75.44 | 79.83 | | screen | 58.73 | 92.54 | | blanket | 34.9 | 40.23 | | sculpture | 72.59 | 87.06 | | hood | 60.59 | 75.16 | | sconce | 55.2 | 71.97 | | vase | 46.11 | 60.62 | | traffic light | 36.29 | 50.68 | | tray | 16.38 | 18.36 | | ashcan | 49.43 | 59.36 | | fan | 64.63 | 84.63 | | pier | 37.98 | 40.62 | | crt screen | 2.27 | 4.97 | | plate | 59.34 | 75.76 | | monitor | 21.93 | 25.95 | | bulletin board | 57.19 | 70.03 | | shower | 12.42 | 14.62 | | radiator | 63.41 | 76.56 | | glass | 19.51 | 21.36 | | clock | 43.8 | 53.84 | | flag | 66.55 | 72.6 | +---------------------+-------+-------+ 2023-11-02 14:09:45,910 - mmseg - INFO - Summary: 2023-11-02 14:09:45,910 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 85.54 | 55.95 | 67.74 | +-------+-------+-------+ 2023-11-02 14:09:45,912 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 14:09:45,912 - mmseg - INFO - Iter(val) [250] aAcc: 0.8554, mIoU: 0.5595, mAcc: 0.6774, IoU.wall: 0.8035, IoU.building: 0.8358, IoU.sky: 0.9444, IoU.floor: 0.8365, IoU.tree: 0.7638, IoU.ceiling: 0.8569, IoU.road: 0.8687, IoU.bed : 0.9195, IoU.windowpane: 0.6666, IoU.grass: 0.6644, IoU.cabinet: 0.6573, IoU.sidewalk: 0.6903, IoU.person: 0.8337, IoU.earth: 0.4232, IoU.door: 0.6078, IoU.table: 0.6932, IoU.mountain: 0.6328, IoU.plant: 0.5523, IoU.curtain: 0.7688, IoU.chair: 0.6239, IoU.car: 0.8678, IoU.water: 0.6319, IoU.painting: 0.7833, IoU.sofa: 0.7941, IoU.shelf: 0.4583, IoU.house: 0.4646, IoU.sea: 0.7582, IoU.mirror: 0.7598, IoU.rug: 0.6422, IoU.field: 0.2877, IoU.armchair: 0.6056, IoU.seat: 0.6361, IoU.fence: 0.5162, IoU.desk: 0.5743, IoU.rock: 0.5857, IoU.wardrobe: 0.5437, IoU.lamp: 0.6957, IoU.bathtub: 0.8574, IoU.railing: 0.4323, IoU.cushion: 0.6396, IoU.base: 0.3828, IoU.box: 0.3767, IoU.column: 0.4903, IoU.signboard: 0.4011, IoU.chest of drawers: 0.4705, IoU.counter: 0.3082, IoU.sand: 0.6162, IoU.sink: 0.8214, IoU.skyscraper: 0.4440, IoU.fireplace: 0.7138, IoU.refrigerator: 0.8500, IoU.grandstand: 0.5432, IoU.path: 0.3195, IoU.stairs: 0.3268, IoU.runway: 0.7339, IoU.case: 0.6268, IoU.pool table: 0.9363, IoU.pillow: 0.5837, IoU.screen door: 0.7436, IoU.stairway: 0.4615, IoU.river: 0.1730, IoU.bridge: 0.6258, IoU.bookcase: 0.4074, IoU.blind: 0.3856, IoU.coffee table: 0.6485, IoU.toilet: 0.8833, IoU.flower: 0.4233, IoU.book: 0.4985, IoU.hill: 0.1789, IoU.bench: 0.5381, IoU.countertop: 0.6463, IoU.stove: 0.8480, IoU.palm: 0.5273, IoU.kitchen island: 0.5313, IoU.computer: 0.7727, IoU.swivel chair: 0.4484, IoU.boat: 0.7843, IoU.bar: 0.6150, IoU.arcade machine: 0.7318, IoU.hovel: 0.4086, IoU.bus: 0.9198, IoU.towel: 0.7646, IoU.light: 0.4902, IoU.truck: 0.4777, IoU.tower: 0.2162, IoU.chandelier: 0.7060, IoU.awning: 0.3438, IoU.streetlight: 0.2651, IoU.booth: 0.5047, IoU.television receiver: 0.7182, IoU.airplane: 0.6608, IoU.dirt track: 0.0450, IoU.apparel: 0.5116, IoU.pole: 0.2380, IoU.land: 0.0522, IoU.bannister: 0.1508, IoU.escalator: 0.5602, IoU.ottoman: 0.5235, IoU.bottle: 0.4185, IoU.buffet: 0.4676, IoU.poster: 0.4350, IoU.stage: 0.1755, IoU.van: 0.4715, IoU.ship: 0.6971, IoU.fountain: 0.3222, IoU.conveyer belt: 0.7705, IoU.canopy: 0.4146, IoU.washer: 0.8844, IoU.plaything: 0.3495, IoU.swimming pool: 0.5157, IoU.stool: 0.5302, IoU.barrel: 0.5262, IoU.basket: 0.4465, IoU.waterfall: 0.4779, IoU.tent: 0.9343, IoU.bag: 0.2393, IoU.minibike: 0.7448, IoU.cradle: 0.8686, IoU.oven: 0.6408, IoU.ball: 0.5674, IoU.food: 0.6341, IoU.step: 0.0978, IoU.tank: 0.6341, IoU.trade name: 0.2482, IoU.microwave: 0.9050, IoU.pot: 0.6038, IoU.animal: 0.6619, IoU.bicycle: 0.5923, IoU.lake: 0.5487, IoU.dishwasher: 0.7544, IoU.screen: 0.5873, IoU.blanket: 0.3490, IoU.sculpture: 0.7259, IoU.hood: 0.6059, IoU.sconce: 0.5520, IoU.vase: 0.4611, IoU.traffic light: 0.3629, IoU.tray: 0.1638, IoU.ashcan: 0.4943, IoU.fan: 0.6463, IoU.pier: 0.3798, IoU.crt screen: 0.0227, IoU.plate: 0.5934, IoU.monitor: 0.2193, IoU.bulletin board: 0.5719, IoU.shower: 0.1242, IoU.radiator: 0.6341, IoU.glass: 0.1951, IoU.clock: 0.4380, IoU.flag: 0.6655, Acc.wall: 0.8883, Acc.building: 0.9354, Acc.sky: 0.9744, Acc.floor: 0.9156, Acc.tree: 0.9006, Acc.ceiling: 0.9454, Acc.road: 0.9065, Acc.bed : 0.9769, Acc.windowpane: 0.8064, Acc.grass: 0.8136, Acc.cabinet: 0.7562, Acc.sidewalk: 0.8497, Acc.person: 0.9247, Acc.earth: 0.5662, Acc.door: 0.7802, Acc.table: 0.8218, Acc.mountain: 0.7261, Acc.plant: 0.6949, Acc.curtain: 0.8797, Acc.chair: 0.7331, Acc.car: 0.9347, Acc.water: 0.7979, Acc.painting: 0.8721, Acc.sofa: 0.8823, Acc.shelf: 0.6094, Acc.house: 0.5390, Acc.sea: 0.8975, Acc.mirror: 0.8586, Acc.rug: 0.7532, Acc.field: 0.4233, Acc.armchair: 0.8335, Acc.seat: 0.8681, Acc.fence: 0.7087, Acc.desk: 0.7610, Acc.rock: 0.8489, Acc.wardrobe: 0.7284, Acc.lamp: 0.8379, Acc.bathtub: 0.8791, Acc.railing: 0.6132, Acc.cushion: 0.7503, Acc.base: 0.5113, Acc.box: 0.4673, Acc.column: 0.6520, Acc.signboard: 0.5595, Acc.chest of drawers: 0.7358, Acc.counter: 0.3784, Acc.sand: 0.8483, Acc.sink: 0.8814, Acc.skyscraper: 0.5186, Acc.fireplace: 0.9369, Acc.refrigerator: 0.9134, Acc.grandstand: 0.8235, Acc.path: 0.4173, Acc.stairs: 0.4117, Acc.runway: 0.9520, Acc.case: 0.8523, Acc.pool table: 0.9734, Acc.pillow: 0.6670, Acc.screen door: 0.7574, Acc.stairway: 0.6422, Acc.river: 0.2311, Acc.bridge: 0.7159, Acc.bookcase: 0.6240, Acc.blind: 0.4346, Acc.coffee table: 0.8664, Acc.toilet: 0.9274, Acc.flower: 0.6431, Acc.book: 0.6819, Acc.hill: 0.2303, Acc.bench: 0.6045, Acc.countertop: 0.7971, Acc.stove: 0.9156, Acc.palm: 0.7521, Acc.kitchen island: 0.6938, Acc.computer: 0.9018, Acc.swivel chair: 0.6750, Acc.boat: 0.9036, Acc.bar: 0.8241, Acc.arcade machine: 0.7632, Acc.hovel: 0.4335, Acc.bus: 0.9601, Acc.towel: 0.8539, Acc.light: 0.5876, Acc.truck: 0.5897, Acc.tower: 0.3672, Acc.chandelier: 0.8432, Acc.awning: 0.4277, Acc.streetlight: 0.3698, Acc.booth: 0.5222, Acc.television receiver: 0.8792, Acc.airplane: 0.7006, Acc.dirt track: 0.0516, Acc.apparel: 0.8268, Acc.pole: 0.3417, Acc.land: 0.0629, Acc.bannister: 0.2052, Acc.escalator: 0.6834, Acc.ottoman: 0.7495, Acc.bottle: 0.6932, Acc.buffet: 0.5189, Acc.poster: 0.6222, Acc.stage: 0.2685, Acc.van: 0.7325, Acc.ship: 0.7147, Acc.fountain: 0.3231, Acc.conveyer belt: 0.9451, Acc.canopy: 0.5562, Acc.washer: 0.9374, Acc.plaything: 0.4627, Acc.swimming pool: 0.7282, Acc.stool: 0.6715, Acc.barrel: 0.8238, Acc.basket: 0.5919, Acc.waterfall: 0.5327, Acc.tent: 0.9809, Acc.bag: 0.2737, Acc.minibike: 0.8631, Acc.cradle: 0.9707, Acc.oven: 0.7826, Acc.ball: 0.6517, Acc.food: 0.7473, Acc.step: 0.1098, Acc.tank: 0.6560, Acc.trade name: 0.2731, Acc.microwave: 0.9480, Acc.pot: 0.6859, Acc.animal: 0.6737, Acc.bicycle: 0.7328, Acc.lake: 0.6372, Acc.dishwasher: 0.7983, Acc.screen: 0.9254, Acc.blanket: 0.4023, Acc.sculpture: 0.8706, Acc.hood: 0.7516, Acc.sconce: 0.7197, Acc.vase: 0.6062, Acc.traffic light: 0.5068, Acc.tray: 0.1836, Acc.ashcan: 0.5936, Acc.fan: 0.8463, Acc.pier: 0.4062, Acc.crt screen: 0.0497, Acc.plate: 0.7576, Acc.monitor: 0.2595, Acc.bulletin board: 0.7003, Acc.shower: 0.1462, Acc.radiator: 0.7656, Acc.glass: 0.2136, Acc.clock: 0.5384, Acc.flag: 0.7260 2023-11-02 14:10:46,723 - mmseg - INFO - Iter [33050/80000] lr: 1.901e-06, eta: 17:23:12, time: 2.495, data_time: 1.286, memory: 38534, decode.loss_ce: 0.2142, decode.acc_seg: 91.2948, loss: 0.2142 2023-11-02 14:11:47,431 - mmseg - INFO - Iter [33100/80000] lr: 1.899e-06, eta: 17:21:57, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2172, decode.acc_seg: 91.3565, loss: 0.2172 2023-11-02 14:12:48,200 - mmseg - INFO - Iter [33150/80000] lr: 1.897e-06, eta: 17:20:42, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2112, decode.acc_seg: 91.2651, loss: 0.2112 2023-11-02 14:13:48,981 - mmseg - INFO - Iter [33200/80000] lr: 1.895e-06, eta: 17:19:27, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2136, decode.acc_seg: 90.7837, loss: 0.2136 2023-11-02 14:14:49,695 - mmseg - INFO - Iter [33250/80000] lr: 1.893e-06, eta: 17:18:12, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2166, decode.acc_seg: 90.9731, loss: 0.2166 2023-11-02 14:15:50,472 - mmseg - INFO - Iter [33300/80000] lr: 1.891e-06, eta: 17:16:57, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2171, decode.acc_seg: 91.1959, loss: 0.2171 2023-11-02 14:16:51,202 - mmseg - INFO - Iter [33350/80000] lr: 1.889e-06, eta: 17:15:43, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1959, decode.acc_seg: 91.8233, loss: 0.1959 2023-11-02 14:17:51,874 - mmseg - INFO - Iter [33400/80000] lr: 1.887e-06, eta: 17:14:28, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2143, decode.acc_seg: 91.1393, loss: 0.2143 2023-11-02 14:18:52,563 - mmseg - INFO - Iter [33450/80000] lr: 1.885e-06, eta: 17:13:13, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2082, decode.acc_seg: 91.3325, loss: 0.2082 2023-11-02 14:19:53,322 - mmseg - INFO - Iter [33500/80000] lr: 1.883e-06, eta: 17:11:58, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2021, decode.acc_seg: 91.4458, loss: 0.2021 2023-11-02 14:20:54,100 - mmseg - INFO - Iter [33550/80000] lr: 1.881e-06, eta: 17:10:44, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2155, decode.acc_seg: 91.0330, loss: 0.2155 2023-11-02 14:21:54,817 - mmseg - INFO - Iter [33600/80000] lr: 1.879e-06, eta: 17:09:29, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2057, decode.acc_seg: 91.5315, loss: 0.2057 2023-11-02 14:22:55,568 - mmseg - INFO - Iter [33650/80000] lr: 1.877e-06, eta: 17:08:14, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2156, decode.acc_seg: 91.3111, loss: 0.2156 2023-11-02 14:23:56,310 - mmseg - INFO - Iter [33700/80000] lr: 1.875e-06, eta: 17:07:00, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2120, decode.acc_seg: 91.2558, loss: 0.2120 2023-11-02 14:24:57,067 - mmseg - INFO - Iter [33750/80000] lr: 1.873e-06, eta: 17:05:45, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2154, decode.acc_seg: 90.9528, loss: 0.2154 2023-11-02 14:25:57,732 - mmseg - INFO - Iter [33800/80000] lr: 1.871e-06, eta: 17:04:31, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2046, decode.acc_seg: 91.5120, loss: 0.2046 2023-11-02 14:26:58,368 - mmseg - INFO - Iter [33850/80000] lr: 1.869e-06, eta: 17:03:16, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2143, decode.acc_seg: 91.0418, loss: 0.2143 2023-11-02 14:27:59,039 - mmseg - INFO - Iter [33900/80000] lr: 1.867e-06, eta: 17:02:02, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2046, decode.acc_seg: 91.7644, loss: 0.2046 2023-11-02 14:28:59,734 - mmseg - INFO - Iter [33950/80000] lr: 1.865e-06, eta: 17:00:47, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2245, decode.acc_seg: 90.9184, loss: 0.2245 2023-11-02 14:30:00,422 - mmseg - INFO - Saving checkpoint at 34000 iterations 2023-11-02 14:30:56,111 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 14:30:56,111 - mmseg - INFO - Iter [34000/80000] lr: 1.863e-06, eta: 17:00:48, time: 2.328, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2235, decode.acc_seg: 90.8626, loss: 0.2235 2023-11-02 14:31:53,557 - mmseg - INFO - per class results: 2023-11-02 14:31:53,562 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 80.93 | 89.91 | | building | 84.14 | 93.49 | | sky | 94.44 | 96.91 | | floor | 83.73 | 92.57 | | tree | 76.71 | 89.92 | | ceiling | 86.45 | 93.22 | | road | 86.38 | 91.45 | | bed | 91.98 | 97.04 | | windowpane | 66.21 | 81.57 | | grass | 67.76 | 80.36 | | cabinet | 66.17 | 76.94 | | sidewalk | 70.23 | 82.39 | | person | 83.54 | 92.61 | | earth | 40.58 | 55.32 | | door | 61.02 | 77.34 | | table | 68.85 | 80.9 | | mountain | 62.36 | 74.75 | | plant | 56.07 | 71.03 | | curtain | 76.76 | 87.92 | | chair | 60.46 | 69.0 | | car | 86.84 | 93.48 | | water | 60.0 | 73.51 | | painting | 78.06 | 86.64 | | sofa | 81.27 | 89.84 | | shelf | 48.3 | 64.55 | | house | 45.91 | 58.02 | | sea | 73.44 | 91.56 | | mirror | 75.3 | 84.48 | | rug | 62.13 | 69.8 | | field | 29.73 | 52.46 | | armchair | 59.39 | 80.05 | | seat | 64.94 | 88.43 | | fence | 51.77 | 65.92 | | desk | 55.25 | 79.62 | | rock | 59.4 | 80.76 | | wardrobe | 56.45 | 75.24 | | lamp | 70.34 | 82.31 | | bathtub | 88.6 | 91.35 | | railing | 42.78 | 60.78 | | cushion | 64.18 | 77.73 | | base | 37.42 | 50.22 | | box | 40.77 | 53.15 | | column | 47.02 | 56.51 | | signboard | 39.54 | 50.76 | | chest of drawers | 44.29 | 61.6 | | counter | 36.95 | 53.33 | | sand | 59.42 | 84.63 | | sink | 79.54 | 85.28 | | skyscraper | 45.45 | 56.76 | | fireplace | 75.14 | 92.21 | | refrigerator | 82.69 | 88.43 | | grandstand | 47.88 | 75.63 | | path | 28.35 | 36.57 | | stairs | 30.36 | 41.57 | | runway | 67.83 | 86.79 | | case | 59.6 | 74.46 | | pool table | 91.95 | 97.52 | | pillow | 58.97 | 67.19 | | screen door | 64.85 | 65.47 | | stairway | 46.21 | 60.87 | | river | 14.98 | 28.42 | | bridge | 68.36 | 80.12 | | bookcase | 40.16 | 48.97 | | blind | 37.92 | 42.73 | | coffee table | 66.63 | 84.43 | | toilet | 88.06 | 92.23 | | flower | 41.88 | 55.58 | | book | 50.4 | 73.12 | | hill | 12.07 | 13.55 | | bench | 53.2 | 61.02 | | countertop | 62.23 | 76.44 | | stove | 83.35 | 88.89 | | palm | 52.31 | 75.79 | | kitchen island | 45.73 | 73.61 | | computer | 77.6 | 89.25 | | swivel chair | 47.97 | 79.9 | | boat | 73.89 | 91.05 | | bar | 57.84 | 77.05 | | arcade machine | 83.16 | 85.41 | | hovel | 34.61 | 36.9 | | bus | 92.24 | 95.56 | | towel | 74.45 | 86.08 | | light | 49.4 | 57.91 | | truck | 48.11 | 60.16 | | tower | 26.3 | 44.04 | | chandelier | 69.77 | 82.44 | | awning | 35.36 | 43.17 | | streetlight | 25.06 | 31.78 | | booth | 54.25 | 73.85 | | television receiver | 73.84 | 87.27 | | airplane | 77.62 | 85.75 | | dirt track | 12.04 | 47.91 | | apparel | 51.92 | 81.84 | | pole | 20.14 | 27.87 | | land | 4.74 | 7.15 | | bannister | 16.07 | 22.07 | | escalator | 43.48 | 50.85 | | ottoman | 49.79 | 65.06 | | bottle | 41.12 | 65.04 | | buffet | 49.87 | 56.3 | | poster | 42.14 | 54.37 | | stage | 14.33 | 25.83 | | van | 49.25 | 70.56 | | ship | 78.28 | 81.7 | | fountain | 16.76 | 16.8 | | conveyer belt | 79.82 | 92.48 | | canopy | 44.35 | 55.81 | | washer | 85.02 | 89.68 | | plaything | 33.5 | 49.4 | | swimming pool | 55.86 | 80.56 | | stool | 50.58 | 61.24 | | barrel | 52.17 | 69.07 | | basket | 42.27 | 57.17 | | waterfall | 53.15 | 68.84 | | tent | 96.29 | 97.0 | | bag | 25.47 | 28.97 | | minibike | 74.63 | 84.77 | | cradle | 84.38 | 96.45 | | oven | 67.06 | 79.23 | | ball | 40.56 | 42.98 | | food | 65.77 | 72.56 | | step | 10.02 | 11.06 | | tank | 63.27 | 65.12 | | trade name | 31.42 | 36.33 | | microwave | 89.88 | 94.19 | | pot | 57.42 | 64.22 | | animal | 68.58 | 70.6 | | bicycle | 60.48 | 73.08 | | lake | 47.24 | 70.37 | | dishwasher | 75.15 | 78.74 | | screen | 58.36 | 74.84 | | blanket | 36.17 | 43.41 | | sculpture | 73.69 | 84.45 | | hood | 54.78 | 62.4 | | sconce | 54.92 | 64.73 | | vase | 47.17 | 58.6 | | traffic light | 34.67 | 59.24 | | tray | 20.64 | 23.78 | | ashcan | 50.63 | 64.07 | | fan | 63.9 | 73.98 | | pier | 37.2 | 43.41 | | crt screen | 7.62 | 20.18 | | plate | 57.59 | 77.98 | | monitor | 17.81 | 20.97 | | bulletin board | 52.46 | 69.26 | | shower | 3.98 | 16.13 | | radiator | 63.28 | 78.45 | | glass | 20.51 | 22.75 | | clock | 41.61 | 47.72 | | flag | 65.3 | 74.7 | +---------------------+-------+-------+ 2023-11-02 14:31:53,562 - mmseg - INFO - Summary: 2023-11-02 14:31:53,562 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 85.51 | 55.52 | 67.38 | +-------+-------+-------+ 2023-11-02 14:31:53,563 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 14:31:53,564 - mmseg - INFO - Iter(val) [250] aAcc: 0.8551, mIoU: 0.5552, mAcc: 0.6738, IoU.wall: 0.8093, IoU.building: 0.8414, IoU.sky: 0.9444, IoU.floor: 0.8373, IoU.tree: 0.7671, IoU.ceiling: 0.8645, IoU.road: 0.8638, IoU.bed : 0.9198, IoU.windowpane: 0.6621, IoU.grass: 0.6776, IoU.cabinet: 0.6617, IoU.sidewalk: 0.7023, IoU.person: 0.8354, IoU.earth: 0.4058, IoU.door: 0.6102, IoU.table: 0.6885, IoU.mountain: 0.6236, IoU.plant: 0.5607, IoU.curtain: 0.7676, IoU.chair: 0.6046, IoU.car: 0.8684, IoU.water: 0.6000, IoU.painting: 0.7806, IoU.sofa: 0.8127, IoU.shelf: 0.4830, IoU.house: 0.4591, IoU.sea: 0.7344, IoU.mirror: 0.7530, IoU.rug: 0.6213, IoU.field: 0.2973, IoU.armchair: 0.5939, IoU.seat: 0.6494, IoU.fence: 0.5177, IoU.desk: 0.5525, IoU.rock: 0.5940, IoU.wardrobe: 0.5645, IoU.lamp: 0.7034, IoU.bathtub: 0.8860, IoU.railing: 0.4278, IoU.cushion: 0.6418, IoU.base: 0.3742, IoU.box: 0.4077, IoU.column: 0.4702, IoU.signboard: 0.3954, IoU.chest of drawers: 0.4429, IoU.counter: 0.3695, IoU.sand: 0.5942, IoU.sink: 0.7954, IoU.skyscraper: 0.4545, IoU.fireplace: 0.7514, IoU.refrigerator: 0.8269, IoU.grandstand: 0.4788, IoU.path: 0.2835, IoU.stairs: 0.3036, IoU.runway: 0.6783, IoU.case: 0.5960, IoU.pool table: 0.9195, IoU.pillow: 0.5897, IoU.screen door: 0.6485, IoU.stairway: 0.4621, IoU.river: 0.1498, IoU.bridge: 0.6836, IoU.bookcase: 0.4016, IoU.blind: 0.3792, IoU.coffee table: 0.6663, IoU.toilet: 0.8806, IoU.flower: 0.4188, IoU.book: 0.5040, IoU.hill: 0.1207, IoU.bench: 0.5320, IoU.countertop: 0.6223, IoU.stove: 0.8335, IoU.palm: 0.5231, IoU.kitchen island: 0.4573, IoU.computer: 0.7760, IoU.swivel chair: 0.4797, IoU.boat: 0.7389, IoU.bar: 0.5784, IoU.arcade machine: 0.8316, IoU.hovel: 0.3461, IoU.bus: 0.9224, IoU.towel: 0.7445, IoU.light: 0.4940, IoU.truck: 0.4811, IoU.tower: 0.2630, IoU.chandelier: 0.6977, IoU.awning: 0.3536, IoU.streetlight: 0.2506, IoU.booth: 0.5425, IoU.television receiver: 0.7384, IoU.airplane: 0.7762, IoU.dirt track: 0.1204, IoU.apparel: 0.5192, IoU.pole: 0.2014, IoU.land: 0.0474, IoU.bannister: 0.1607, IoU.escalator: 0.4348, IoU.ottoman: 0.4979, IoU.bottle: 0.4112, IoU.buffet: 0.4987, IoU.poster: 0.4214, IoU.stage: 0.1433, IoU.van: 0.4925, IoU.ship: 0.7828, IoU.fountain: 0.1676, IoU.conveyer belt: 0.7982, IoU.canopy: 0.4435, IoU.washer: 0.8502, IoU.plaything: 0.3350, IoU.swimming pool: 0.5586, IoU.stool: 0.5058, IoU.barrel: 0.5217, IoU.basket: 0.4227, IoU.waterfall: 0.5315, IoU.tent: 0.9629, IoU.bag: 0.2547, IoU.minibike: 0.7463, IoU.cradle: 0.8438, IoU.oven: 0.6706, IoU.ball: 0.4056, IoU.food: 0.6577, IoU.step: 0.1002, IoU.tank: 0.6327, IoU.trade name: 0.3142, IoU.microwave: 0.8988, IoU.pot: 0.5742, IoU.animal: 0.6858, IoU.bicycle: 0.6048, IoU.lake: 0.4724, IoU.dishwasher: 0.7515, IoU.screen: 0.5836, IoU.blanket: 0.3617, IoU.sculpture: 0.7369, IoU.hood: 0.5478, IoU.sconce: 0.5492, IoU.vase: 0.4717, IoU.traffic light: 0.3467, IoU.tray: 0.2064, IoU.ashcan: 0.5063, IoU.fan: 0.6390, IoU.pier: 0.3720, IoU.crt screen: 0.0762, IoU.plate: 0.5759, IoU.monitor: 0.1781, IoU.bulletin board: 0.5246, IoU.shower: 0.0398, IoU.radiator: 0.6328, IoU.glass: 0.2051, IoU.clock: 0.4161, IoU.flag: 0.6530, Acc.wall: 0.8991, Acc.building: 0.9349, Acc.sky: 0.9691, Acc.floor: 0.9257, Acc.tree: 0.8992, Acc.ceiling: 0.9322, Acc.road: 0.9145, Acc.bed : 0.9704, Acc.windowpane: 0.8157, Acc.grass: 0.8036, Acc.cabinet: 0.7694, Acc.sidewalk: 0.8239, Acc.person: 0.9261, Acc.earth: 0.5532, Acc.door: 0.7734, Acc.table: 0.8090, Acc.mountain: 0.7475, Acc.plant: 0.7103, Acc.curtain: 0.8792, Acc.chair: 0.6900, Acc.car: 0.9348, Acc.water: 0.7351, Acc.painting: 0.8664, Acc.sofa: 0.8984, Acc.shelf: 0.6455, Acc.house: 0.5802, Acc.sea: 0.9156, Acc.mirror: 0.8448, Acc.rug: 0.6980, Acc.field: 0.5246, Acc.armchair: 0.8005, Acc.seat: 0.8843, Acc.fence: 0.6592, Acc.desk: 0.7962, Acc.rock: 0.8076, Acc.wardrobe: 0.7524, Acc.lamp: 0.8231, Acc.bathtub: 0.9135, Acc.railing: 0.6078, Acc.cushion: 0.7773, Acc.base: 0.5022, Acc.box: 0.5315, Acc.column: 0.5651, Acc.signboard: 0.5076, Acc.chest of drawers: 0.6160, Acc.counter: 0.5333, Acc.sand: 0.8463, Acc.sink: 0.8528, Acc.skyscraper: 0.5676, Acc.fireplace: 0.9221, Acc.refrigerator: 0.8843, Acc.grandstand: 0.7563, Acc.path: 0.3657, Acc.stairs: 0.4157, Acc.runway: 0.8679, Acc.case: 0.7446, Acc.pool table: 0.9752, Acc.pillow: 0.6719, Acc.screen door: 0.6547, Acc.stairway: 0.6087, Acc.river: 0.2842, Acc.bridge: 0.8012, Acc.bookcase: 0.4897, Acc.blind: 0.4273, Acc.coffee table: 0.8443, Acc.toilet: 0.9223, Acc.flower: 0.5558, Acc.book: 0.7312, Acc.hill: 0.1355, Acc.bench: 0.6102, Acc.countertop: 0.7644, Acc.stove: 0.8889, Acc.palm: 0.7579, Acc.kitchen island: 0.7361, Acc.computer: 0.8925, Acc.swivel chair: 0.7990, Acc.boat: 0.9105, Acc.bar: 0.7705, Acc.arcade machine: 0.8541, Acc.hovel: 0.3690, Acc.bus: 0.9556, Acc.towel: 0.8608, Acc.light: 0.5791, Acc.truck: 0.6016, Acc.tower: 0.4404, Acc.chandelier: 0.8244, Acc.awning: 0.4317, Acc.streetlight: 0.3178, Acc.booth: 0.7385, Acc.television receiver: 0.8727, Acc.airplane: 0.8575, Acc.dirt track: 0.4791, Acc.apparel: 0.8184, Acc.pole: 0.2787, Acc.land: 0.0715, Acc.bannister: 0.2207, Acc.escalator: 0.5085, Acc.ottoman: 0.6506, Acc.bottle: 0.6504, Acc.buffet: 0.5630, Acc.poster: 0.5437, Acc.stage: 0.2583, Acc.van: 0.7056, Acc.ship: 0.8170, Acc.fountain: 0.1680, Acc.conveyer belt: 0.9248, Acc.canopy: 0.5581, Acc.washer: 0.8968, Acc.plaything: 0.4940, Acc.swimming pool: 0.8056, Acc.stool: 0.6124, Acc.barrel: 0.6907, Acc.basket: 0.5717, Acc.waterfall: 0.6884, Acc.tent: 0.9700, Acc.bag: 0.2897, Acc.minibike: 0.8477, Acc.cradle: 0.9645, Acc.oven: 0.7923, Acc.ball: 0.4298, Acc.food: 0.7256, Acc.step: 0.1106, Acc.tank: 0.6512, Acc.trade name: 0.3633, Acc.microwave: 0.9419, Acc.pot: 0.6422, Acc.animal: 0.7060, Acc.bicycle: 0.7308, Acc.lake: 0.7037, Acc.dishwasher: 0.7874, Acc.screen: 0.7484, Acc.blanket: 0.4341, Acc.sculpture: 0.8445, Acc.hood: 0.6240, Acc.sconce: 0.6473, Acc.vase: 0.5860, Acc.traffic light: 0.5924, Acc.tray: 0.2378, Acc.ashcan: 0.6407, Acc.fan: 0.7398, Acc.pier: 0.4341, Acc.crt screen: 0.2018, Acc.plate: 0.7798, Acc.monitor: 0.2097, Acc.bulletin board: 0.6926, Acc.shower: 0.1613, Acc.radiator: 0.7845, Acc.glass: 0.2275, Acc.clock: 0.4772, Acc.flag: 0.7470 2023-11-02 14:32:54,330 - mmseg - INFO - Iter [34050/80000] lr: 1.861e-06, eta: 17:00:51, time: 2.364, data_time: 1.156, memory: 38534, decode.loss_ce: 0.2066, decode.acc_seg: 91.2916, loss: 0.2066 2023-11-02 14:33:55,034 - mmseg - INFO - Iter [34100/80000] lr: 1.859e-06, eta: 16:59:37, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2092, decode.acc_seg: 91.2722, loss: 0.2092 2023-11-02 14:34:58,022 - mmseg - INFO - Iter [34150/80000] lr: 1.857e-06, eta: 16:58:25, time: 1.260, data_time: 0.053, memory: 38534, decode.loss_ce: 0.2098, decode.acc_seg: 91.3374, loss: 0.2098 2023-11-02 14:35:58,753 - mmseg - INFO - Iter [34200/80000] lr: 1.855e-06, eta: 16:57:11, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1978, decode.acc_seg: 91.6017, loss: 0.1978 2023-11-02 14:36:59,512 - mmseg - INFO - Iter [34250/80000] lr: 1.853e-06, eta: 16:55:56, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2029, decode.acc_seg: 91.7099, loss: 0.2029 2023-11-02 14:38:00,265 - mmseg - INFO - Iter [34300/80000] lr: 1.851e-06, eta: 16:54:42, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1988, decode.acc_seg: 91.7869, loss: 0.1988 2023-11-02 14:39:01,021 - mmseg - INFO - Iter [34350/80000] lr: 1.849e-06, eta: 16:53:27, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2107, decode.acc_seg: 91.2369, loss: 0.2107 2023-11-02 14:40:01,831 - mmseg - INFO - Iter [34400/80000] lr: 1.847e-06, eta: 16:52:13, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2138, decode.acc_seg: 91.2447, loss: 0.2138 2023-11-02 14:41:02,577 - mmseg - INFO - Iter [34450/80000] lr: 1.845e-06, eta: 16:50:59, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2068, decode.acc_seg: 91.5419, loss: 0.2068 2023-11-02 14:42:03,310 - mmseg - INFO - Iter [34500/80000] lr: 1.843e-06, eta: 16:49:45, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2072, decode.acc_seg: 91.6382, loss: 0.2072 2023-11-02 14:43:04,031 - mmseg - INFO - Iter [34550/80000] lr: 1.841e-06, eta: 16:48:30, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2001, decode.acc_seg: 91.5484, loss: 0.2001 2023-11-02 14:44:04,792 - mmseg - INFO - Iter [34600/80000] lr: 1.839e-06, eta: 16:47:16, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2010, decode.acc_seg: 91.3759, loss: 0.2010 2023-11-02 14:45:05,524 - mmseg - INFO - Iter [34650/80000] lr: 1.837e-06, eta: 16:46:02, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2075, decode.acc_seg: 91.4244, loss: 0.2075 2023-11-02 14:46:06,268 - mmseg - INFO - Iter [34700/80000] lr: 1.835e-06, eta: 16:44:48, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1990, decode.acc_seg: 91.5737, loss: 0.1990 2023-11-02 14:47:07,016 - mmseg - INFO - Iter [34750/80000] lr: 1.833e-06, eta: 16:43:34, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2071, decode.acc_seg: 91.4413, loss: 0.2071 2023-11-02 14:48:07,761 - mmseg - INFO - Iter [34800/80000] lr: 1.831e-06, eta: 16:42:20, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1988, decode.acc_seg: 91.6234, loss: 0.1988 2023-11-02 14:49:08,465 - mmseg - INFO - Iter [34850/80000] lr: 1.828e-06, eta: 16:41:06, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2109, decode.acc_seg: 91.0983, loss: 0.2109 2023-11-02 14:50:09,157 - mmseg - INFO - Iter [34900/80000] lr: 1.826e-06, eta: 16:39:51, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2154, decode.acc_seg: 91.2581, loss: 0.2154 2023-11-02 14:51:09,893 - mmseg - INFO - Iter [34950/80000] lr: 1.824e-06, eta: 16:38:38, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2110, decode.acc_seg: 91.2867, loss: 0.2110 2023-11-02 14:52:10,590 - mmseg - INFO - Saving checkpoint at 35000 iterations 2023-11-02 14:53:01,827 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 14:53:01,827 - mmseg - INFO - Iter [35000/80000] lr: 1.822e-06, eta: 16:38:29, time: 2.239, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2120, decode.acc_seg: 91.3201, loss: 0.2120 2023-11-02 14:54:00,513 - mmseg - INFO - per class results: 2023-11-02 14:54:00,518 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 80.93 | 89.82 | | building | 83.37 | 92.75 | | sky | 94.52 | 97.49 | | floor | 83.93 | 91.43 | | tree | 76.67 | 89.16 | | ceiling | 87.25 | 93.68 | | road | 86.13 | 89.61 | | bed | 91.02 | 97.1 | | windowpane | 66.46 | 81.27 | | grass | 69.41 | 82.76 | | cabinet | 66.51 | 76.35 | | sidewalk | 67.89 | 86.64 | | person | 83.1 | 90.94 | | earth | 41.43 | 55.64 | | door | 60.63 | 78.75 | | table | 69.48 | 82.3 | | mountain | 60.59 | 75.17 | | plant | 56.11 | 68.32 | | curtain | 78.74 | 87.43 | | chair | 62.67 | 73.82 | | car | 86.84 | 92.87 | | water | 60.63 | 75.73 | | painting | 76.94 | 87.38 | | sofa | 80.3 | 87.68 | | shelf | 43.37 | 55.28 | | house | 48.98 | 73.02 | | sea | 72.35 | 85.71 | | mirror | 76.47 | 86.63 | | rug | 65.54 | 75.61 | | field | 32.59 | 57.35 | | armchair | 60.29 | 77.25 | | seat | 63.8 | 87.21 | | fence | 51.83 | 64.44 | | desk | 56.98 | 75.24 | | rock | 51.9 | 67.76 | | wardrobe | 56.2 | 76.01 | | lamp | 69.9 | 81.37 | | bathtub | 87.89 | 91.32 | | railing | 42.6 | 57.15 | | cushion | 65.78 | 79.66 | | base | 37.38 | 55.83 | | box | 37.53 | 46.89 | | column | 44.72 | 54.17 | | signboard | 39.19 | 51.87 | | chest of drawers | 47.01 | 64.31 | | counter | 42.12 | 55.6 | | sand | 58.69 | 84.54 | | sink | 78.99 | 85.59 | | skyscraper | 46.46 | 57.37 | | fireplace | 71.36 | 94.67 | | refrigerator | 84.34 | 92.15 | | grandstand | 48.86 | 79.45 | | path | 33.64 | 43.88 | | stairs | 26.17 | 31.85 | | runway | 69.53 | 88.88 | | case | 60.31 | 79.18 | | pool table | 94.07 | 97.86 | | pillow | 58.38 | 65.73 | | screen door | 53.49 | 54.01 | | stairway | 41.79 | 55.58 | | river | 9.09 | 17.39 | | bridge | 63.61 | 72.45 | | bookcase | 33.81 | 61.62 | | blind | 43.6 | 48.92 | | coffee table | 66.29 | 85.0 | | toilet | 89.29 | 92.78 | | flower | 40.33 | 56.19 | | book | 49.01 | 66.59 | | hill | 11.81 | 16.25 | | bench | 51.14 | 56.2 | | countertop | 64.18 | 80.34 | | stove | 83.73 | 90.62 | | palm | 47.61 | 86.06 | | kitchen island | 46.91 | 71.7 | | computer | 75.05 | 92.29 | | swivel chair | 48.99 | 74.92 | | boat | 75.18 | 89.62 | | bar | 60.96 | 80.46 | | arcade machine | 80.37 | 84.86 | | hovel | 27.84 | 29.91 | | bus | 91.68 | 96.12 | | towel | 75.42 | 85.28 | | light | 46.85 | 53.24 | | truck | 48.24 | 57.81 | | tower | 29.88 | 45.83 | | chandelier | 69.97 | 80.97 | | awning | 37.0 | 45.51 | | streetlight | 27.66 | 37.38 | | booth | 53.62 | 64.73 | | television receiver | 74.25 | 87.4 | | airplane | 84.93 | 90.07 | | dirt track | 8.74 | 15.0 | | apparel | 53.83 | 83.95 | | pole | 18.9 | 30.5 | | land | 3.03 | 5.5 | | bannister | 14.95 | 18.99 | | escalator | 62.72 | 80.36 | | ottoman | 54.7 | 74.34 | | bottle | 41.62 | 66.59 | | buffet | 43.81 | 48.53 | | poster | 37.59 | 47.16 | | stage | 16.02 | 32.23 | | van | 48.13 | 72.4 | | ship | 76.62 | 82.34 | | fountain | 39.15 | 39.38 | | conveyer belt | 73.97 | 93.78 | | canopy | 47.3 | 55.85 | | washer | 88.05 | 93.26 | | plaything | 33.61 | 47.34 | | swimming pool | 58.04 | 82.55 | | stool | 53.89 | 68.01 | | barrel | 49.97 | 76.55 | | basket | 43.69 | 55.9 | | waterfall | 48.17 | 53.76 | | tent | 96.25 | 98.0 | | bag | 18.6 | 19.96 | | minibike | 74.53 | 84.8 | | cradle | 80.44 | 98.1 | | oven | 64.83 | 80.76 | | ball | 61.91 | 72.26 | | food | 62.25 | 76.8 | | step | 10.96 | 12.3 | | tank | 63.24 | 65.96 | | trade name | 24.7 | 27.65 | | microwave | 89.73 | 95.25 | | pot | 58.69 | 66.58 | | animal | 72.1 | 75.05 | | bicycle | 60.48 | 74.49 | | lake | 61.99 | 74.39 | | dishwasher | 73.25 | 83.57 | | screen | 60.89 | 86.56 | | blanket | 25.92 | 30.54 | | sculpture | 70.04 | 80.35 | | hood | 57.87 | 73.57 | | sconce | 53.19 | 62.73 | | vase | 45.66 | 60.88 | | traffic light | 34.25 | 61.54 | | tray | 16.91 | 18.88 | | ashcan | 50.18 | 63.02 | | fan | 64.59 | 77.89 | | pier | 38.2 | 44.81 | | crt screen | 7.48 | 19.13 | | plate | 58.33 | 73.63 | | monitor | 13.23 | 14.72 | | bulletin board | 56.05 | 73.8 | | shower | 7.83 | 9.52 | | radiator | 64.47 | 77.11 | | glass | 18.74 | 20.12 | | clock | 46.27 | 54.32 | | flag | 64.27 | 68.1 | +---------------------+-------+-------+ 2023-11-02 14:54:00,518 - mmseg - INFO - Summary: 2023-11-02 14:54:00,519 - mmseg - INFO - +-------+-------+------+ | aAcc | mIoU | mAcc | +-------+-------+------+ | 85.47 | 55.63 | 67.7 | +-------+-------+------+ 2023-11-02 14:54:00,520 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 14:54:00,520 - mmseg - INFO - Iter(val) [250] aAcc: 0.8547, mIoU: 0.5563, mAcc: 0.6770, IoU.wall: 0.8093, IoU.building: 0.8337, IoU.sky: 0.9452, IoU.floor: 0.8393, IoU.tree: 0.7667, IoU.ceiling: 0.8725, IoU.road: 0.8613, IoU.bed : 0.9102, IoU.windowpane: 0.6646, IoU.grass: 0.6941, IoU.cabinet: 0.6651, IoU.sidewalk: 0.6789, IoU.person: 0.8310, IoU.earth: 0.4143, IoU.door: 0.6063, IoU.table: 0.6948, IoU.mountain: 0.6059, IoU.plant: 0.5611, IoU.curtain: 0.7874, IoU.chair: 0.6267, IoU.car: 0.8684, IoU.water: 0.6063, IoU.painting: 0.7694, IoU.sofa: 0.8030, IoU.shelf: 0.4337, IoU.house: 0.4898, IoU.sea: 0.7235, IoU.mirror: 0.7647, IoU.rug: 0.6554, IoU.field: 0.3259, IoU.armchair: 0.6029, IoU.seat: 0.6380, IoU.fence: 0.5183, IoU.desk: 0.5698, IoU.rock: 0.5190, IoU.wardrobe: 0.5620, IoU.lamp: 0.6990, IoU.bathtub: 0.8789, IoU.railing: 0.4260, IoU.cushion: 0.6578, IoU.base: 0.3738, IoU.box: 0.3753, IoU.column: 0.4472, IoU.signboard: 0.3919, IoU.chest of drawers: 0.4701, IoU.counter: 0.4212, IoU.sand: 0.5869, IoU.sink: 0.7899, IoU.skyscraper: 0.4646, IoU.fireplace: 0.7136, IoU.refrigerator: 0.8434, IoU.grandstand: 0.4886, IoU.path: 0.3364, IoU.stairs: 0.2617, IoU.runway: 0.6953, IoU.case: 0.6031, IoU.pool table: 0.9407, IoU.pillow: 0.5838, IoU.screen door: 0.5349, IoU.stairway: 0.4179, IoU.river: 0.0909, IoU.bridge: 0.6361, IoU.bookcase: 0.3381, IoU.blind: 0.4360, IoU.coffee table: 0.6629, IoU.toilet: 0.8929, IoU.flower: 0.4033, IoU.book: 0.4901, IoU.hill: 0.1181, IoU.bench: 0.5114, IoU.countertop: 0.6418, IoU.stove: 0.8373, IoU.palm: 0.4761, IoU.kitchen island: 0.4691, IoU.computer: 0.7505, IoU.swivel chair: 0.4899, IoU.boat: 0.7518, IoU.bar: 0.6096, IoU.arcade machine: 0.8037, IoU.hovel: 0.2784, IoU.bus: 0.9168, IoU.towel: 0.7542, IoU.light: 0.4685, IoU.truck: 0.4824, IoU.tower: 0.2988, IoU.chandelier: 0.6997, IoU.awning: 0.3700, IoU.streetlight: 0.2766, IoU.booth: 0.5362, IoU.television receiver: 0.7425, IoU.airplane: 0.8493, IoU.dirt track: 0.0874, IoU.apparel: 0.5383, IoU.pole: 0.1890, IoU.land: 0.0303, IoU.bannister: 0.1495, IoU.escalator: 0.6272, IoU.ottoman: 0.5470, IoU.bottle: 0.4162, IoU.buffet: 0.4381, IoU.poster: 0.3759, IoU.stage: 0.1602, IoU.van: 0.4813, IoU.ship: 0.7662, IoU.fountain: 0.3915, IoU.conveyer belt: 0.7397, IoU.canopy: 0.4730, IoU.washer: 0.8805, IoU.plaything: 0.3361, IoU.swimming pool: 0.5804, IoU.stool: 0.5389, IoU.barrel: 0.4997, IoU.basket: 0.4369, IoU.waterfall: 0.4817, IoU.tent: 0.9625, IoU.bag: 0.1860, IoU.minibike: 0.7453, IoU.cradle: 0.8044, IoU.oven: 0.6483, IoU.ball: 0.6191, IoU.food: 0.6225, IoU.step: 0.1096, IoU.tank: 0.6324, IoU.trade name: 0.2470, IoU.microwave: 0.8973, IoU.pot: 0.5869, IoU.animal: 0.7210, IoU.bicycle: 0.6048, IoU.lake: 0.6199, IoU.dishwasher: 0.7325, IoU.screen: 0.6089, IoU.blanket: 0.2592, IoU.sculpture: 0.7004, IoU.hood: 0.5787, IoU.sconce: 0.5319, IoU.vase: 0.4566, IoU.traffic light: 0.3425, IoU.tray: 0.1691, IoU.ashcan: 0.5018, IoU.fan: 0.6459, IoU.pier: 0.3820, IoU.crt screen: 0.0748, IoU.plate: 0.5833, IoU.monitor: 0.1323, IoU.bulletin board: 0.5605, IoU.shower: 0.0783, IoU.radiator: 0.6447, IoU.glass: 0.1874, IoU.clock: 0.4627, IoU.flag: 0.6427, Acc.wall: 0.8982, Acc.building: 0.9275, Acc.sky: 0.9749, Acc.floor: 0.9143, Acc.tree: 0.8916, Acc.ceiling: 0.9368, Acc.road: 0.8961, Acc.bed : 0.9710, Acc.windowpane: 0.8127, Acc.grass: 0.8276, Acc.cabinet: 0.7635, Acc.sidewalk: 0.8664, Acc.person: 0.9094, Acc.earth: 0.5564, Acc.door: 0.7875, Acc.table: 0.8230, Acc.mountain: 0.7517, Acc.plant: 0.6832, Acc.curtain: 0.8743, Acc.chair: 0.7382, Acc.car: 0.9287, Acc.water: 0.7573, Acc.painting: 0.8738, Acc.sofa: 0.8768, Acc.shelf: 0.5528, Acc.house: 0.7302, Acc.sea: 0.8571, Acc.mirror: 0.8663, Acc.rug: 0.7561, Acc.field: 0.5735, Acc.armchair: 0.7725, Acc.seat: 0.8721, Acc.fence: 0.6444, Acc.desk: 0.7524, Acc.rock: 0.6776, Acc.wardrobe: 0.7601, Acc.lamp: 0.8137, Acc.bathtub: 0.9132, Acc.railing: 0.5715, Acc.cushion: 0.7966, Acc.base: 0.5583, Acc.box: 0.4689, Acc.column: 0.5417, Acc.signboard: 0.5187, Acc.chest of drawers: 0.6431, Acc.counter: 0.5560, Acc.sand: 0.8454, Acc.sink: 0.8559, Acc.skyscraper: 0.5737, Acc.fireplace: 0.9467, Acc.refrigerator: 0.9215, Acc.grandstand: 0.7945, Acc.path: 0.4388, Acc.stairs: 0.3185, Acc.runway: 0.8888, Acc.case: 0.7918, Acc.pool table: 0.9786, Acc.pillow: 0.6573, Acc.screen door: 0.5401, Acc.stairway: 0.5558, Acc.river: 0.1739, Acc.bridge: 0.7245, Acc.bookcase: 0.6162, Acc.blind: 0.4892, Acc.coffee table: 0.8500, Acc.toilet: 0.9278, Acc.flower: 0.5619, Acc.book: 0.6659, Acc.hill: 0.1625, Acc.bench: 0.5620, Acc.countertop: 0.8034, Acc.stove: 0.9062, Acc.palm: 0.8606, Acc.kitchen island: 0.7170, Acc.computer: 0.9229, Acc.swivel chair: 0.7492, Acc.boat: 0.8962, Acc.bar: 0.8046, Acc.arcade machine: 0.8486, Acc.hovel: 0.2991, Acc.bus: 0.9612, Acc.towel: 0.8528, Acc.light: 0.5324, Acc.truck: 0.5781, Acc.tower: 0.4583, Acc.chandelier: 0.8097, Acc.awning: 0.4551, Acc.streetlight: 0.3738, Acc.booth: 0.6473, Acc.television receiver: 0.8740, Acc.airplane: 0.9007, Acc.dirt track: 0.1500, Acc.apparel: 0.8395, Acc.pole: 0.3050, Acc.land: 0.0550, Acc.bannister: 0.1899, Acc.escalator: 0.8036, Acc.ottoman: 0.7434, Acc.bottle: 0.6659, Acc.buffet: 0.4853, Acc.poster: 0.4716, Acc.stage: 0.3223, Acc.van: 0.7240, Acc.ship: 0.8234, Acc.fountain: 0.3938, Acc.conveyer belt: 0.9378, Acc.canopy: 0.5585, Acc.washer: 0.9326, Acc.plaything: 0.4734, Acc.swimming pool: 0.8255, Acc.stool: 0.6801, Acc.barrel: 0.7655, Acc.basket: 0.5590, Acc.waterfall: 0.5376, Acc.tent: 0.9800, Acc.bag: 0.1996, Acc.minibike: 0.8480, Acc.cradle: 0.9810, Acc.oven: 0.8076, Acc.ball: 0.7226, Acc.food: 0.7680, Acc.step: 0.1230, Acc.tank: 0.6596, Acc.trade name: 0.2765, Acc.microwave: 0.9525, Acc.pot: 0.6658, Acc.animal: 0.7505, Acc.bicycle: 0.7449, Acc.lake: 0.7439, Acc.dishwasher: 0.8357, Acc.screen: 0.8656, Acc.blanket: 0.3054, Acc.sculpture: 0.8035, Acc.hood: 0.7357, Acc.sconce: 0.6273, Acc.vase: 0.6088, Acc.traffic light: 0.6154, Acc.tray: 0.1888, Acc.ashcan: 0.6302, Acc.fan: 0.7789, Acc.pier: 0.4481, Acc.crt screen: 0.1913, Acc.plate: 0.7363, Acc.monitor: 0.1472, Acc.bulletin board: 0.7380, Acc.shower: 0.0952, Acc.radiator: 0.7711, Acc.glass: 0.2012, Acc.clock: 0.5432, Acc.flag: 0.6810 2023-11-02 14:55:01,331 - mmseg - INFO - Iter [35050/80000] lr: 1.820e-06, eta: 16:38:31, time: 2.390, data_time: 1.181, memory: 38534, decode.loss_ce: 0.2108, decode.acc_seg: 91.3306, loss: 0.2108 2023-11-02 14:56:02,051 - mmseg - INFO - Iter [35100/80000] lr: 1.818e-06, eta: 16:37:17, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2093, decode.acc_seg: 91.4077, loss: 0.2093 2023-11-02 14:57:02,789 - mmseg - INFO - Iter [35150/80000] lr: 1.816e-06, eta: 16:36:02, time: 1.215, data_time: 0.008, memory: 38534, decode.loss_ce: 0.2230, decode.acc_seg: 90.9599, loss: 0.2230 2023-11-02 14:58:03,503 - mmseg - INFO - Iter [35200/80000] lr: 1.814e-06, eta: 16:34:48, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2045, decode.acc_seg: 91.5607, loss: 0.2045 2023-11-02 14:59:04,244 - mmseg - INFO - Iter [35250/80000] lr: 1.812e-06, eta: 16:33:34, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2140, decode.acc_seg: 90.8930, loss: 0.2140 2023-11-02 15:00:04,923 - mmseg - INFO - Iter [35300/80000] lr: 1.810e-06, eta: 16:32:20, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2067, decode.acc_seg: 91.2342, loss: 0.2067 2023-11-02 15:01:05,625 - mmseg - INFO - Iter [35350/80000] lr: 1.808e-06, eta: 16:31:06, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2141, decode.acc_seg: 91.1281, loss: 0.2141 2023-11-02 15:02:08,637 - mmseg - INFO - Iter [35400/80000] lr: 1.806e-06, eta: 16:29:55, time: 1.260, data_time: 0.050, memory: 38534, decode.loss_ce: 0.1948, decode.acc_seg: 91.7207, loss: 0.1948 2023-11-02 15:03:09,387 - mmseg - INFO - Iter [35450/80000] lr: 1.804e-06, eta: 16:28:41, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1949, decode.acc_seg: 91.8590, loss: 0.1949 2023-11-02 15:04:10,088 - mmseg - INFO - Iter [35500/80000] lr: 1.802e-06, eta: 16:27:27, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2017, decode.acc_seg: 91.5974, loss: 0.2017 2023-11-02 15:05:10,866 - mmseg - INFO - Iter [35550/80000] lr: 1.800e-06, eta: 16:26:13, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2068, decode.acc_seg: 91.4195, loss: 0.2068 2023-11-02 15:06:11,595 - mmseg - INFO - Iter [35600/80000] lr: 1.798e-06, eta: 16:24:59, time: 1.215, data_time: 0.008, memory: 38534, decode.loss_ce: 0.1912, decode.acc_seg: 91.9043, loss: 0.1912 2023-11-02 15:07:12,328 - mmseg - INFO - Iter [35650/80000] lr: 1.796e-06, eta: 16:23:46, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2044, decode.acc_seg: 91.5317, loss: 0.2044 2023-11-02 15:08:13,090 - mmseg - INFO - Iter [35700/80000] lr: 1.794e-06, eta: 16:22:32, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1977, decode.acc_seg: 91.6780, loss: 0.1977 2023-11-02 15:09:13,861 - mmseg - INFO - Iter [35750/80000] lr: 1.792e-06, eta: 16:21:18, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1981, decode.acc_seg: 91.9912, loss: 0.1981 2023-11-02 15:10:14,617 - mmseg - INFO - Iter [35800/80000] lr: 1.790e-06, eta: 16:20:05, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2016, decode.acc_seg: 91.7540, loss: 0.2016 2023-11-02 15:11:15,334 - mmseg - INFO - Iter [35850/80000] lr: 1.788e-06, eta: 16:18:51, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2122, decode.acc_seg: 91.4445, loss: 0.2122 2023-11-02 15:12:16,032 - mmseg - INFO - Iter [35900/80000] lr: 1.786e-06, eta: 16:17:37, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2063, decode.acc_seg: 91.5452, loss: 0.2063 2023-11-02 15:13:16,689 - mmseg - INFO - Iter [35950/80000] lr: 1.784e-06, eta: 16:16:24, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2097, decode.acc_seg: 91.3517, loss: 0.2097 2023-11-02 15:14:17,368 - mmseg - INFO - Saving checkpoint at 36000 iterations 2023-11-02 15:15:09,767 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 15:15:09,767 - mmseg - INFO - Iter [36000/80000] lr: 1.782e-06, eta: 16:16:14, time: 2.262, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1879, decode.acc_seg: 92.0487, loss: 0.1879 2023-11-02 15:16:08,273 - mmseg - INFO - per class results: 2023-11-02 15:16:08,278 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 81.06 | 89.89 | | building | 84.31 | 93.5 | | sky | 94.46 | 97.79 | | floor | 83.54 | 91.36 | | tree | 76.48 | 89.25 | | ceiling | 86.97 | 93.52 | | road | 86.17 | 91.95 | | bed | 91.51 | 96.66 | | windowpane | 65.37 | 81.1 | | grass | 67.97 | 82.02 | | cabinet | 66.33 | 75.35 | | sidewalk | 69.83 | 83.45 | | person | 83.61 | 92.25 | | earth | 40.31 | 52.9 | | door | 61.44 | 77.74 | | table | 69.84 | 83.47 | | mountain | 65.09 | 74.63 | | plant | 54.24 | 65.29 | | curtain | 76.51 | 85.47 | | chair | 62.59 | 73.02 | | car | 86.95 | 92.57 | | water | 61.21 | 77.18 | | painting | 79.61 | 88.19 | | sofa | 80.68 | 89.23 | | shelf | 46.06 | 63.08 | | house | 48.37 | 57.73 | | sea | 72.35 | 86.5 | | mirror | 75.55 | 83.16 | | rug | 64.72 | 74.34 | | field | 31.34 | 52.94 | | armchair | 62.79 | 79.99 | | seat | 60.43 | 88.12 | | fence | 48.99 | 69.63 | | desk | 56.95 | 76.63 | | rock | 57.95 | 85.43 | | wardrobe | 54.84 | 72.46 | | lamp | 70.35 | 80.11 | | bathtub | 87.79 | 90.71 | | railing | 43.25 | 66.35 | | cushion | 65.18 | 80.6 | | base | 36.46 | 48.26 | | box | 36.4 | 43.06 | | column | 46.84 | 56.34 | | signboard | 39.48 | 52.33 | | chest of drawers | 48.59 | 79.0 | | counter | 31.76 | 41.94 | | sand | 61.23 | 86.5 | | sink | 78.53 | 83.78 | | skyscraper | 47.12 | 60.73 | | fireplace | 72.32 | 93.06 | | refrigerator | 83.03 | 93.94 | | grandstand | 58.36 | 79.74 | | path | 32.67 | 40.8 | | stairs | 46.39 | 61.18 | | runway | 71.76 | 92.17 | | case | 54.84 | 80.64 | | pool table | 93.97 | 97.64 | | pillow | 60.29 | 69.5 | | screen door | 63.62 | 64.52 | | stairway | 49.89 | 65.02 | | river | 13.23 | 22.9 | | bridge | 65.71 | 74.19 | | bookcase | 40.02 | 60.81 | | blind | 39.84 | 47.79 | | coffee table | 66.31 | 80.26 | | toilet | 89.06 | 92.41 | | flower | 42.53 | 59.4 | | book | 46.76 | 64.67 | | hill | 15.26 | 26.33 | | bench | 50.93 | 57.4 | | countertop | 63.43 | 80.18 | | stove | 84.57 | 91.25 | | palm | 51.43 | 78.66 | | kitchen island | 48.58 | 75.09 | | computer | 77.05 | 89.52 | | swivel chair | 45.65 | 63.87 | | boat | 76.05 | 90.07 | | bar | 61.39 | 87.98 | | arcade machine | 73.85 | 76.39 | | hovel | 43.94 | 48.64 | | bus | 92.9 | 96.12 | | towel | 74.36 | 84.71 | | light | 49.72 | 58.12 | | truck | 48.18 | 60.99 | | tower | 30.28 | 50.45 | | chandelier | 68.59 | 78.46 | | awning | 36.6 | 45.86 | | streetlight | 26.01 | 33.51 | | booth | 54.17 | 67.34 | | television receiver | 74.83 | 88.94 | | airplane | 85.73 | 93.23 | | dirt track | 25.3 | 52.43 | | apparel | 53.19 | 69.48 | | pole | 21.28 | 36.66 | | land | 4.7 | 6.3 | | bannister | 17.9 | 24.28 | | escalator | 59.98 | 73.97 | | ottoman | 59.38 | 78.89 | | bottle | 42.17 | 62.15 | | buffet | 62.37 | 70.96 | | poster | 37.64 | 43.54 | | stage | 17.74 | 38.19 | | van | 47.71 | 73.48 | | ship | 71.22 | 75.07 | | fountain | 39.87 | 40.18 | | conveyer belt | 82.76 | 93.53 | | canopy | 47.54 | 61.76 | | washer | 88.41 | 93.34 | | plaything | 32.61 | 47.63 | | swimming pool | 58.27 | 76.02 | | stool | 51.51 | 62.28 | | barrel | 59.51 | 81.43 | | basket | 42.61 | 55.98 | | waterfall | 48.22 | 61.23 | | tent | 95.05 | 98.44 | | bag | 19.05 | 21.07 | | minibike | 73.55 | 87.02 | | cradle | 80.83 | 98.33 | | oven | 63.1 | 76.58 | | ball | 59.32 | 67.91 | | food | 62.08 | 73.56 | | step | 11.05 | 12.27 | | tank | 62.18 | 66.06 | | trade name | 23.53 | 25.53 | | microwave | 89.92 | 94.78 | | pot | 57.18 | 64.48 | | animal | 73.92 | 78.21 | | bicycle | 59.31 | 76.52 | | lake | 60.81 | 70.96 | | dishwasher | 74.1 | 82.59 | | screen | 64.15 | 90.35 | | blanket | 31.19 | 36.78 | | sculpture | 69.04 | 81.07 | | hood | 60.8 | 74.01 | | sconce | 55.04 | 68.12 | | vase | 45.22 | 57.03 | | traffic light | 36.69 | 57.61 | | tray | 21.73 | 26.72 | | ashcan | 52.01 | 66.62 | | fan | 64.91 | 79.79 | | pier | 37.87 | 43.19 | | crt screen | 1.9 | 2.84 | | plate | 59.16 | 75.06 | | monitor | 43.43 | 51.78 | | bulletin board | 55.92 | 64.99 | | shower | 11.31 | 14.39 | | radiator | 62.53 | 71.52 | | glass | 16.76 | 17.45 | | clock | 48.39 | 56.89 | | flag | 60.83 | 68.47 | +---------------------+-------+-------+ 2023-11-02 15:16:08,278 - mmseg - INFO - Summary: 2023-11-02 15:16:08,279 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 85.68 | 56.73 | 68.79 | +-------+-------+-------+ 2023-11-02 15:16:08,279 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 15:16:08,280 - mmseg - INFO - Iter(val) [250] aAcc: 0.8568, mIoU: 0.5673, mAcc: 0.6879, IoU.wall: 0.8106, IoU.building: 0.8431, IoU.sky: 0.9446, IoU.floor: 0.8354, IoU.tree: 0.7648, IoU.ceiling: 0.8697, IoU.road: 0.8617, IoU.bed : 0.9151, IoU.windowpane: 0.6537, IoU.grass: 0.6797, IoU.cabinet: 0.6633, IoU.sidewalk: 0.6983, IoU.person: 0.8361, IoU.earth: 0.4031, IoU.door: 0.6144, IoU.table: 0.6984, IoU.mountain: 0.6509, IoU.plant: 0.5424, IoU.curtain: 0.7651, IoU.chair: 0.6259, IoU.car: 0.8695, IoU.water: 0.6121, IoU.painting: 0.7961, IoU.sofa: 0.8068, IoU.shelf: 0.4606, IoU.house: 0.4837, IoU.sea: 0.7235, IoU.mirror: 0.7555, IoU.rug: 0.6472, IoU.field: 0.3134, IoU.armchair: 0.6279, IoU.seat: 0.6043, IoU.fence: 0.4899, IoU.desk: 0.5695, IoU.rock: 0.5795, IoU.wardrobe: 0.5484, IoU.lamp: 0.7035, IoU.bathtub: 0.8779, IoU.railing: 0.4325, IoU.cushion: 0.6518, IoU.base: 0.3646, IoU.box: 0.3640, IoU.column: 0.4684, IoU.signboard: 0.3948, IoU.chest of drawers: 0.4859, IoU.counter: 0.3176, IoU.sand: 0.6123, IoU.sink: 0.7853, IoU.skyscraper: 0.4712, IoU.fireplace: 0.7232, IoU.refrigerator: 0.8303, IoU.grandstand: 0.5836, IoU.path: 0.3267, IoU.stairs: 0.4639, IoU.runway: 0.7176, IoU.case: 0.5484, IoU.pool table: 0.9397, IoU.pillow: 0.6029, IoU.screen door: 0.6362, IoU.stairway: 0.4989, IoU.river: 0.1323, IoU.bridge: 0.6571, IoU.bookcase: 0.4002, IoU.blind: 0.3984, IoU.coffee table: 0.6631, IoU.toilet: 0.8906, IoU.flower: 0.4253, IoU.book: 0.4676, IoU.hill: 0.1526, IoU.bench: 0.5093, IoU.countertop: 0.6343, IoU.stove: 0.8457, IoU.palm: 0.5143, IoU.kitchen island: 0.4858, IoU.computer: 0.7705, IoU.swivel chair: 0.4565, IoU.boat: 0.7605, IoU.bar: 0.6139, IoU.arcade machine: 0.7385, IoU.hovel: 0.4394, IoU.bus: 0.9290, IoU.towel: 0.7436, IoU.light: 0.4972, IoU.truck: 0.4818, IoU.tower: 0.3028, IoU.chandelier: 0.6859, IoU.awning: 0.3660, IoU.streetlight: 0.2601, IoU.booth: 0.5417, IoU.television receiver: 0.7483, IoU.airplane: 0.8573, IoU.dirt track: 0.2530, IoU.apparel: 0.5319, IoU.pole: 0.2128, IoU.land: 0.0470, IoU.bannister: 0.1790, IoU.escalator: 0.5998, IoU.ottoman: 0.5938, IoU.bottle: 0.4217, IoU.buffet: 0.6237, IoU.poster: 0.3764, IoU.stage: 0.1774, IoU.van: 0.4771, IoU.ship: 0.7122, IoU.fountain: 0.3987, IoU.conveyer belt: 0.8276, IoU.canopy: 0.4754, IoU.washer: 0.8841, IoU.plaything: 0.3261, IoU.swimming pool: 0.5827, IoU.stool: 0.5151, IoU.barrel: 0.5951, IoU.basket: 0.4261, IoU.waterfall: 0.4822, IoU.tent: 0.9505, IoU.bag: 0.1905, IoU.minibike: 0.7355, IoU.cradle: 0.8083, IoU.oven: 0.6310, IoU.ball: 0.5932, IoU.food: 0.6208, IoU.step: 0.1105, IoU.tank: 0.6218, IoU.trade name: 0.2353, IoU.microwave: 0.8992, IoU.pot: 0.5718, IoU.animal: 0.7392, IoU.bicycle: 0.5931, IoU.lake: 0.6081, IoU.dishwasher: 0.7410, IoU.screen: 0.6415, IoU.blanket: 0.3119, IoU.sculpture: 0.6904, IoU.hood: 0.6080, IoU.sconce: 0.5504, IoU.vase: 0.4522, IoU.traffic light: 0.3669, IoU.tray: 0.2173, IoU.ashcan: 0.5201, IoU.fan: 0.6491, IoU.pier: 0.3787, IoU.crt screen: 0.0190, IoU.plate: 0.5916, IoU.monitor: 0.4343, IoU.bulletin board: 0.5592, IoU.shower: 0.1131, IoU.radiator: 0.6253, IoU.glass: 0.1676, IoU.clock: 0.4839, IoU.flag: 0.6083, Acc.wall: 0.8989, Acc.building: 0.9350, Acc.sky: 0.9779, Acc.floor: 0.9136, Acc.tree: 0.8925, Acc.ceiling: 0.9352, Acc.road: 0.9195, Acc.bed : 0.9666, Acc.windowpane: 0.8110, Acc.grass: 0.8202, Acc.cabinet: 0.7535, Acc.sidewalk: 0.8345, Acc.person: 0.9225, Acc.earth: 0.5290, Acc.door: 0.7774, Acc.table: 0.8347, Acc.mountain: 0.7463, Acc.plant: 0.6529, Acc.curtain: 0.8547, Acc.chair: 0.7302, Acc.car: 0.9257, Acc.water: 0.7718, Acc.painting: 0.8819, Acc.sofa: 0.8923, Acc.shelf: 0.6308, Acc.house: 0.5773, Acc.sea: 0.8650, Acc.mirror: 0.8316, Acc.rug: 0.7434, Acc.field: 0.5294, Acc.armchair: 0.7999, Acc.seat: 0.8812, Acc.fence: 0.6963, Acc.desk: 0.7663, Acc.rock: 0.8543, Acc.wardrobe: 0.7246, Acc.lamp: 0.8011, Acc.bathtub: 0.9071, Acc.railing: 0.6635, Acc.cushion: 0.8060, Acc.base: 0.4826, Acc.box: 0.4306, Acc.column: 0.5634, Acc.signboard: 0.5233, Acc.chest of drawers: 0.7900, Acc.counter: 0.4194, Acc.sand: 0.8650, Acc.sink: 0.8378, Acc.skyscraper: 0.6073, Acc.fireplace: 0.9306, Acc.refrigerator: 0.9394, Acc.grandstand: 0.7974, Acc.path: 0.4080, Acc.stairs: 0.6118, Acc.runway: 0.9217, Acc.case: 0.8064, Acc.pool table: 0.9764, Acc.pillow: 0.6950, Acc.screen door: 0.6452, Acc.stairway: 0.6502, Acc.river: 0.2290, Acc.bridge: 0.7419, Acc.bookcase: 0.6081, Acc.blind: 0.4779, Acc.coffee table: 0.8026, Acc.toilet: 0.9241, Acc.flower: 0.5940, Acc.book: 0.6467, Acc.hill: 0.2633, Acc.bench: 0.5740, Acc.countertop: 0.8018, Acc.stove: 0.9125, Acc.palm: 0.7866, Acc.kitchen island: 0.7509, Acc.computer: 0.8952, Acc.swivel chair: 0.6387, Acc.boat: 0.9007, Acc.bar: 0.8798, Acc.arcade machine: 0.7639, Acc.hovel: 0.4864, Acc.bus: 0.9612, Acc.towel: 0.8471, Acc.light: 0.5812, Acc.truck: 0.6099, Acc.tower: 0.5045, Acc.chandelier: 0.7846, Acc.awning: 0.4586, Acc.streetlight: 0.3351, Acc.booth: 0.6734, Acc.television receiver: 0.8894, Acc.airplane: 0.9323, Acc.dirt track: 0.5243, Acc.apparel: 0.6948, Acc.pole: 0.3666, Acc.land: 0.0630, Acc.bannister: 0.2428, Acc.escalator: 0.7397, Acc.ottoman: 0.7889, Acc.bottle: 0.6215, Acc.buffet: 0.7096, Acc.poster: 0.4354, Acc.stage: 0.3819, Acc.van: 0.7348, Acc.ship: 0.7507, Acc.fountain: 0.4018, Acc.conveyer belt: 0.9353, Acc.canopy: 0.6176, Acc.washer: 0.9334, Acc.plaything: 0.4763, Acc.swimming pool: 0.7602, Acc.stool: 0.6228, Acc.barrel: 0.8143, Acc.basket: 0.5598, Acc.waterfall: 0.6123, Acc.tent: 0.9844, Acc.bag: 0.2107, Acc.minibike: 0.8702, Acc.cradle: 0.9833, Acc.oven: 0.7658, Acc.ball: 0.6791, Acc.food: 0.7356, Acc.step: 0.1227, Acc.tank: 0.6606, Acc.trade name: 0.2553, Acc.microwave: 0.9478, Acc.pot: 0.6448, Acc.animal: 0.7821, Acc.bicycle: 0.7652, Acc.lake: 0.7096, Acc.dishwasher: 0.8259, Acc.screen: 0.9035, Acc.blanket: 0.3678, Acc.sculpture: 0.8107, Acc.hood: 0.7401, Acc.sconce: 0.6812, Acc.vase: 0.5703, Acc.traffic light: 0.5761, Acc.tray: 0.2672, Acc.ashcan: 0.6662, Acc.fan: 0.7979, Acc.pier: 0.4319, Acc.crt screen: 0.0284, Acc.plate: 0.7506, Acc.monitor: 0.5178, Acc.bulletin board: 0.6499, Acc.shower: 0.1439, Acc.radiator: 0.7152, Acc.glass: 0.1745, Acc.clock: 0.5689, Acc.flag: 0.6847 2023-11-02 15:17:09,083 - mmseg - INFO - Iter [36050/80000] lr: 1.780e-06, eta: 16:16:12, time: 2.386, data_time: 1.178, memory: 38534, decode.loss_ce: 0.2029, decode.acc_seg: 91.6109, loss: 0.2029 2023-11-02 15:18:09,797 - mmseg - INFO - Iter [36100/80000] lr: 1.778e-06, eta: 16:14:58, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2023, decode.acc_seg: 91.6336, loss: 0.2023 2023-11-02 15:19:10,497 - mmseg - INFO - Iter [36150/80000] lr: 1.776e-06, eta: 16:13:44, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1984, decode.acc_seg: 91.7953, loss: 0.1984 2023-11-02 15:20:11,221 - mmseg - INFO - Iter [36200/80000] lr: 1.774e-06, eta: 16:12:30, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2027, decode.acc_seg: 91.7373, loss: 0.2027 2023-11-02 15:21:11,955 - mmseg - INFO - Iter [36250/80000] lr: 1.772e-06, eta: 16:11:17, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1977, decode.acc_seg: 91.7537, loss: 0.1977 2023-11-02 15:22:12,682 - mmseg - INFO - Iter [36300/80000] lr: 1.770e-06, eta: 16:10:03, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2089, decode.acc_seg: 91.4390, loss: 0.2089 2023-11-02 15:23:13,344 - mmseg - INFO - Iter [36350/80000] lr: 1.768e-06, eta: 16:08:49, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2111, decode.acc_seg: 91.2084, loss: 0.2111 2023-11-02 15:24:14,054 - mmseg - INFO - Iter [36400/80000] lr: 1.766e-06, eta: 16:07:36, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2075, decode.acc_seg: 91.3699, loss: 0.2075 2023-11-02 15:25:14,798 - mmseg - INFO - Iter [36450/80000] lr: 1.764e-06, eta: 16:06:22, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2090, decode.acc_seg: 91.3563, loss: 0.2090 2023-11-02 15:26:15,490 - mmseg - INFO - Iter [36500/80000] lr: 1.762e-06, eta: 16:05:08, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1991, decode.acc_seg: 91.7566, loss: 0.1991 2023-11-02 15:27:16,167 - mmseg - INFO - Iter [36550/80000] lr: 1.760e-06, eta: 16:03:55, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2056, decode.acc_seg: 91.7861, loss: 0.2056 2023-11-02 15:28:16,910 - mmseg - INFO - Iter [36600/80000] lr: 1.758e-06, eta: 16:02:41, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1950, decode.acc_seg: 91.7795, loss: 0.1950 2023-11-02 15:29:20,705 - mmseg - INFO - Iter [36650/80000] lr: 1.756e-06, eta: 16:01:32, time: 1.276, data_time: 0.068, memory: 38534, decode.loss_ce: 0.2008, decode.acc_seg: 91.3872, loss: 0.2008 2023-11-02 15:30:21,407 - mmseg - INFO - Iter [36700/80000] lr: 1.754e-06, eta: 16:00:18, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2004, decode.acc_seg: 91.8884, loss: 0.2004 2023-11-02 15:31:22,128 - mmseg - INFO - Iter [36750/80000] lr: 1.752e-06, eta: 15:59:05, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1902, decode.acc_seg: 92.0903, loss: 0.1902 2023-11-02 15:32:22,888 - mmseg - INFO - Iter [36800/80000] lr: 1.750e-06, eta: 15:57:52, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1883, decode.acc_seg: 92.2385, loss: 0.1883 2023-11-02 15:33:23,601 - mmseg - INFO - Iter [36850/80000] lr: 1.748e-06, eta: 15:56:38, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2000, decode.acc_seg: 91.6896, loss: 0.2000 2023-11-02 15:34:24,256 - mmseg - INFO - Iter [36900/80000] lr: 1.745e-06, eta: 15:55:25, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2010, decode.acc_seg: 91.6755, loss: 0.2010 2023-11-02 15:35:24,949 - mmseg - INFO - Iter [36950/80000] lr: 1.743e-06, eta: 15:54:12, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1918, decode.acc_seg: 92.0171, loss: 0.1918 2023-11-02 15:36:25,662 - mmseg - INFO - Saving checkpoint at 37000 iterations 2023-11-02 15:37:25,324 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 15:37:25,324 - mmseg - INFO - Iter [37000/80000] lr: 1.741e-06, eta: 15:54:08, time: 2.407, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2203, decode.acc_seg: 91.1682, loss: 0.2203 2023-11-02 15:38:29,615 - mmseg - INFO - per class results: 2023-11-02 15:38:29,624 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 80.5 | 88.65 | | building | 83.78 | 92.78 | | sky | 94.53 | 97.83 | | floor | 84.13 | 90.84 | | tree | 77.25 | 90.13 | | ceiling | 86.2 | 93.9 | | road | 86.58 | 89.73 | | bed | 91.36 | 97.12 | | windowpane | 66.33 | 81.71 | | grass | 67.92 | 85.27 | | cabinet | 66.38 | 75.37 | | sidewalk | 67.74 | 82.98 | | person | 82.82 | 94.73 | | earth | 41.93 | 54.98 | | door | 60.16 | 77.64 | | table | 70.13 | 81.76 | | mountain | 62.37 | 74.85 | | plant | 55.28 | 71.53 | | curtain | 77.35 | 87.0 | | chair | 63.8 | 76.12 | | car | 86.58 | 94.27 | | water | 62.03 | 78.62 | | painting | 74.82 | 90.92 | | sofa | 81.84 | 90.78 | | shelf | 47.44 | 64.89 | | house | 45.04 | 53.04 | | sea | 72.68 | 84.06 | | mirror | 76.86 | 85.62 | | rug | 66.47 | 77.03 | | field | 29.08 | 45.77 | | armchair | 62.32 | 76.56 | | seat | 64.3 | 86.1 | | fence | 49.06 | 66.4 | | desk | 58.37 | 77.9 | | rock | 56.14 | 76.78 | | wardrobe | 57.67 | 81.49 | | lamp | 69.48 | 80.07 | | bathtub | 86.86 | 89.3 | | railing | 41.31 | 68.63 | | cushion | 65.02 | 76.02 | | base | 37.09 | 48.68 | | box | 38.93 | 50.74 | | column | 48.47 | 58.74 | | signboard | 40.71 | 57.96 | | chest of drawers | 49.88 | 79.23 | | counter | 45.33 | 58.31 | | sand | 60.73 | 87.53 | | sink | 79.85 | 86.41 | | skyscraper | 45.71 | 58.3 | | fireplace | 73.25 | 90.28 | | refrigerator | 84.45 | 92.22 | | grandstand | 61.33 | 79.64 | | path | 32.67 | 42.94 | | stairs | 46.16 | 58.29 | | runway | 75.25 | 95.24 | | case | 60.65 | 75.89 | | pool table | 94.05 | 97.5 | | pillow | 60.86 | 72.98 | | screen door | 65.39 | 66.45 | | stairway | 49.71 | 59.79 | | river | 12.58 | 20.51 | | bridge | 61.88 | 69.5 | | bookcase | 40.54 | 59.97 | | blind | 38.45 | 41.5 | | coffee table | 66.49 | 83.76 | | toilet | 89.17 | 93.77 | | flower | 42.28 | 58.38 | | book | 49.46 | 74.25 | | hill | 18.13 | 26.05 | | bench | 55.54 | 63.84 | | countertop | 64.07 | 80.45 | | stove | 84.44 | 90.68 | | palm | 52.97 | 78.64 | | kitchen island | 56.26 | 71.65 | | computer | 76.64 | 89.46 | | swivel chair | 45.3 | 65.13 | | boat | 76.08 | 88.57 | | bar | 65.3 | 84.19 | | arcade machine | 73.51 | 75.74 | | hovel | 33.73 | 36.01 | | bus | 92.26 | 93.97 | | towel | 77.37 | 89.8 | | light | 49.38 | 63.98 | | truck | 49.01 | 59.56 | | tower | 25.77 | 40.93 | | chandelier | 68.43 | 83.45 | | awning | 33.42 | 38.58 | | streetlight | 28.91 | 40.33 | | booth | 56.1 | 67.84 | | television receiver | 75.46 | 86.94 | | airplane | 80.7 | 87.25 | | dirt track | 23.88 | 50.2 | | apparel | 52.64 | 67.7 | | pole | 21.79 | 33.33 | | land | 4.09 | 6.64 | | bannister | 17.13 | 23.94 | | escalator | 52.13 | 63.19 | | ottoman | 56.32 | 75.71 | | bottle | 41.73 | 71.11 | | buffet | 61.78 | 71.45 | | poster | 36.83 | 43.25 | | stage | 17.88 | 31.1 | | van | 49.18 | 69.27 | | ship | 81.03 | 85.64 | | fountain | 39.47 | 39.86 | | conveyer belt | 83.63 | 93.3 | | canopy | 40.52 | 51.13 | | washer | 85.03 | 89.7 | | plaything | 34.82 | 48.06 | | swimming pool | 54.58 | 76.88 | | stool | 53.82 | 68.52 | | barrel | 49.65 | 86.7 | | basket | 43.71 | 61.25 | | waterfall | 46.78 | 49.85 | | tent | 95.43 | 97.41 | | bag | 26.16 | 31.25 | | minibike | 75.63 | 88.1 | | cradle | 80.91 | 97.12 | | oven | 62.27 | 79.52 | | ball | 57.67 | 69.81 | | food | 67.44 | 84.42 | | step | 12.9 | 14.46 | | tank | 62.86 | 65.54 | | trade name | 27.05 | 30.3 | | microwave | 89.8 | 94.28 | | pot | 59.33 | 69.84 | | animal | 71.86 | 74.4 | | bicycle | 59.66 | 77.24 | | lake | 56.03 | 63.7 | | dishwasher | 74.15 | 81.4 | | screen | 54.53 | 78.41 | | blanket | 33.17 | 41.64 | | sculpture | 70.42 | 82.46 | | hood | 59.36 | 73.13 | | sconce | 54.24 | 64.37 | | vase | 46.38 | 65.7 | | traffic light | 36.66 | 51.27 | | tray | 20.67 | 25.85 | | ashcan | 51.39 | 65.56 | | fan | 64.07 | 76.44 | | pier | 33.56 | 46.89 | | crt screen | 9.01 | 19.33 | | plate | 58.24 | 78.66 | | monitor | 29.6 | 37.11 | | bulletin board | 57.28 | 69.71 | | shower | 10.94 | 12.61 | | radiator | 65.09 | 77.9 | | glass | 19.75 | 21.54 | | clock | 47.45 | 60.44 | | flag | 64.14 | 75.25 | +---------------------+-------+-------+ 2023-11-02 15:38:29,624 - mmseg - INFO - Summary: 2023-11-02 15:38:29,624 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 85.64 | 56.82 | 69.01 | +-------+-------+-------+ 2023-11-02 15:38:29,626 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 15:38:29,626 - mmseg - INFO - Iter(val) [250] aAcc: 0.8564, mIoU: 0.5682, mAcc: 0.6901, IoU.wall: 0.8050, IoU.building: 0.8378, IoU.sky: 0.9453, IoU.floor: 0.8413, IoU.tree: 0.7725, IoU.ceiling: 0.8620, IoU.road: 0.8658, IoU.bed : 0.9136, IoU.windowpane: 0.6633, IoU.grass: 0.6792, IoU.cabinet: 0.6638, IoU.sidewalk: 0.6774, IoU.person: 0.8282, IoU.earth: 0.4193, IoU.door: 0.6016, IoU.table: 0.7013, IoU.mountain: 0.6237, IoU.plant: 0.5528, IoU.curtain: 0.7735, IoU.chair: 0.6380, IoU.car: 0.8658, IoU.water: 0.6203, IoU.painting: 0.7482, IoU.sofa: 0.8184, IoU.shelf: 0.4744, IoU.house: 0.4504, IoU.sea: 0.7268, IoU.mirror: 0.7686, IoU.rug: 0.6647, IoU.field: 0.2908, IoU.armchair: 0.6232, IoU.seat: 0.6430, IoU.fence: 0.4906, IoU.desk: 0.5837, IoU.rock: 0.5614, IoU.wardrobe: 0.5767, IoU.lamp: 0.6948, IoU.bathtub: 0.8686, IoU.railing: 0.4131, IoU.cushion: 0.6502, IoU.base: 0.3709, IoU.box: 0.3893, IoU.column: 0.4847, IoU.signboard: 0.4071, IoU.chest of drawers: 0.4988, IoU.counter: 0.4533, IoU.sand: 0.6073, IoU.sink: 0.7985, IoU.skyscraper: 0.4571, IoU.fireplace: 0.7325, IoU.refrigerator: 0.8445, IoU.grandstand: 0.6133, IoU.path: 0.3267, IoU.stairs: 0.4616, IoU.runway: 0.7525, IoU.case: 0.6065, IoU.pool table: 0.9405, IoU.pillow: 0.6086, IoU.screen door: 0.6539, IoU.stairway: 0.4971, IoU.river: 0.1258, IoU.bridge: 0.6188, IoU.bookcase: 0.4054, IoU.blind: 0.3845, IoU.coffee table: 0.6649, IoU.toilet: 0.8917, IoU.flower: 0.4228, IoU.book: 0.4946, IoU.hill: 0.1813, IoU.bench: 0.5554, IoU.countertop: 0.6407, IoU.stove: 0.8444, IoU.palm: 0.5297, IoU.kitchen island: 0.5626, IoU.computer: 0.7664, IoU.swivel chair: 0.4530, IoU.boat: 0.7608, IoU.bar: 0.6530, IoU.arcade machine: 0.7351, IoU.hovel: 0.3373, IoU.bus: 0.9226, IoU.towel: 0.7737, IoU.light: 0.4938, IoU.truck: 0.4901, IoU.tower: 0.2577, IoU.chandelier: 0.6843, IoU.awning: 0.3342, IoU.streetlight: 0.2891, IoU.booth: 0.5610, IoU.television receiver: 0.7546, IoU.airplane: 0.8070, IoU.dirt track: 0.2388, IoU.apparel: 0.5264, IoU.pole: 0.2179, IoU.land: 0.0409, IoU.bannister: 0.1713, IoU.escalator: 0.5213, IoU.ottoman: 0.5632, IoU.bottle: 0.4173, IoU.buffet: 0.6178, IoU.poster: 0.3683, IoU.stage: 0.1788, IoU.van: 0.4918, IoU.ship: 0.8103, IoU.fountain: 0.3947, IoU.conveyer belt: 0.8363, IoU.canopy: 0.4052, IoU.washer: 0.8503, IoU.plaything: 0.3482, IoU.swimming pool: 0.5458, IoU.stool: 0.5382, IoU.barrel: 0.4965, IoU.basket: 0.4371, IoU.waterfall: 0.4678, IoU.tent: 0.9543, IoU.bag: 0.2616, IoU.minibike: 0.7563, IoU.cradle: 0.8091, IoU.oven: 0.6227, IoU.ball: 0.5767, IoU.food: 0.6744, IoU.step: 0.1290, IoU.tank: 0.6286, IoU.trade name: 0.2705, IoU.microwave: 0.8980, IoU.pot: 0.5933, IoU.animal: 0.7186, IoU.bicycle: 0.5966, IoU.lake: 0.5603, IoU.dishwasher: 0.7415, IoU.screen: 0.5453, IoU.blanket: 0.3317, IoU.sculpture: 0.7042, IoU.hood: 0.5936, IoU.sconce: 0.5424, IoU.vase: 0.4638, IoU.traffic light: 0.3666, IoU.tray: 0.2067, IoU.ashcan: 0.5139, IoU.fan: 0.6407, IoU.pier: 0.3356, IoU.crt screen: 0.0901, IoU.plate: 0.5824, IoU.monitor: 0.2960, IoU.bulletin board: 0.5728, IoU.shower: 0.1094, IoU.radiator: 0.6509, IoU.glass: 0.1975, IoU.clock: 0.4745, IoU.flag: 0.6414, Acc.wall: 0.8865, Acc.building: 0.9278, Acc.sky: 0.9783, Acc.floor: 0.9084, Acc.tree: 0.9013, Acc.ceiling: 0.9390, Acc.road: 0.8973, Acc.bed : 0.9712, Acc.windowpane: 0.8171, Acc.grass: 0.8527, Acc.cabinet: 0.7537, Acc.sidewalk: 0.8298, Acc.person: 0.9473, Acc.earth: 0.5498, Acc.door: 0.7764, Acc.table: 0.8176, Acc.mountain: 0.7485, Acc.plant: 0.7153, Acc.curtain: 0.8700, Acc.chair: 0.7612, Acc.car: 0.9427, Acc.water: 0.7862, Acc.painting: 0.9092, Acc.sofa: 0.9078, Acc.shelf: 0.6489, Acc.house: 0.5304, Acc.sea: 0.8406, Acc.mirror: 0.8562, Acc.rug: 0.7703, Acc.field: 0.4577, Acc.armchair: 0.7656, Acc.seat: 0.8610, Acc.fence: 0.6640, Acc.desk: 0.7790, Acc.rock: 0.7678, Acc.wardrobe: 0.8149, Acc.lamp: 0.8007, Acc.bathtub: 0.8930, Acc.railing: 0.6863, Acc.cushion: 0.7602, Acc.base: 0.4868, Acc.box: 0.5074, Acc.column: 0.5874, Acc.signboard: 0.5796, Acc.chest of drawers: 0.7923, Acc.counter: 0.5831, Acc.sand: 0.8753, Acc.sink: 0.8641, Acc.skyscraper: 0.5830, Acc.fireplace: 0.9028, Acc.refrigerator: 0.9222, Acc.grandstand: 0.7964, Acc.path: 0.4294, Acc.stairs: 0.5829, Acc.runway: 0.9524, Acc.case: 0.7589, Acc.pool table: 0.9750, Acc.pillow: 0.7298, Acc.screen door: 0.6645, Acc.stairway: 0.5979, Acc.river: 0.2051, Acc.bridge: 0.6950, Acc.bookcase: 0.5997, Acc.blind: 0.4150, Acc.coffee table: 0.8376, Acc.toilet: 0.9377, Acc.flower: 0.5838, Acc.book: 0.7425, Acc.hill: 0.2605, Acc.bench: 0.6384, Acc.countertop: 0.8045, Acc.stove: 0.9068, Acc.palm: 0.7864, Acc.kitchen island: 0.7165, Acc.computer: 0.8946, Acc.swivel chair: 0.6513, Acc.boat: 0.8857, Acc.bar: 0.8419, Acc.arcade machine: 0.7574, Acc.hovel: 0.3601, Acc.bus: 0.9397, Acc.towel: 0.8980, Acc.light: 0.6398, Acc.truck: 0.5956, Acc.tower: 0.4093, Acc.chandelier: 0.8345, Acc.awning: 0.3858, Acc.streetlight: 0.4033, Acc.booth: 0.6784, Acc.television receiver: 0.8694, Acc.airplane: 0.8725, Acc.dirt track: 0.5020, Acc.apparel: 0.6770, Acc.pole: 0.3333, Acc.land: 0.0664, Acc.bannister: 0.2394, Acc.escalator: 0.6319, Acc.ottoman: 0.7571, Acc.bottle: 0.7111, Acc.buffet: 0.7145, Acc.poster: 0.4325, Acc.stage: 0.3110, Acc.van: 0.6927, Acc.ship: 0.8564, Acc.fountain: 0.3986, Acc.conveyer belt: 0.9330, Acc.canopy: 0.5113, Acc.washer: 0.8970, Acc.plaything: 0.4806, Acc.swimming pool: 0.7688, Acc.stool: 0.6852, Acc.barrel: 0.8670, Acc.basket: 0.6125, Acc.waterfall: 0.4985, Acc.tent: 0.9741, Acc.bag: 0.3125, Acc.minibike: 0.8810, Acc.cradle: 0.9712, Acc.oven: 0.7952, Acc.ball: 0.6981, Acc.food: 0.8442, Acc.step: 0.1446, Acc.tank: 0.6554, Acc.trade name: 0.3030, Acc.microwave: 0.9428, Acc.pot: 0.6984, Acc.animal: 0.7440, Acc.bicycle: 0.7724, Acc.lake: 0.6370, Acc.dishwasher: 0.8140, Acc.screen: 0.7841, Acc.blanket: 0.4164, Acc.sculpture: 0.8246, Acc.hood: 0.7313, Acc.sconce: 0.6437, Acc.vase: 0.6570, Acc.traffic light: 0.5127, Acc.tray: 0.2585, Acc.ashcan: 0.6556, Acc.fan: 0.7644, Acc.pier: 0.4689, Acc.crt screen: 0.1933, Acc.plate: 0.7866, Acc.monitor: 0.3711, Acc.bulletin board: 0.6971, Acc.shower: 0.1261, Acc.radiator: 0.7790, Acc.glass: 0.2154, Acc.clock: 0.6044, Acc.flag: 0.7525 2023-11-02 15:39:30,434 - mmseg - INFO - Iter [37050/80000] lr: 1.739e-06, eta: 15:54:09, time: 2.502, data_time: 1.293, memory: 38534, decode.loss_ce: 0.1993, decode.acc_seg: 91.6698, loss: 0.1993 2023-11-02 15:40:31,157 - mmseg - INFO - Iter [37100/80000] lr: 1.737e-06, eta: 15:52:56, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1951, decode.acc_seg: 91.8720, loss: 0.1951 2023-11-02 15:41:31,873 - mmseg - INFO - Iter [37150/80000] lr: 1.735e-06, eta: 15:51:42, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2077, decode.acc_seg: 91.4823, loss: 0.2077 2023-11-02 15:42:32,606 - mmseg - INFO - Iter [37200/80000] lr: 1.733e-06, eta: 15:50:29, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2004, decode.acc_seg: 91.6401, loss: 0.2004 2023-11-02 15:43:33,343 - mmseg - INFO - Iter [37250/80000] lr: 1.731e-06, eta: 15:49:15, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2104, decode.acc_seg: 91.3549, loss: 0.2104 2023-11-02 15:44:34,056 - mmseg - INFO - Iter [37300/80000] lr: 1.729e-06, eta: 15:48:02, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2169, decode.acc_seg: 91.0014, loss: 0.2169 2023-11-02 15:45:34,735 - mmseg - INFO - Iter [37350/80000] lr: 1.727e-06, eta: 15:46:48, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1941, decode.acc_seg: 92.0752, loss: 0.1941 2023-11-02 15:46:35,410 - mmseg - INFO - Iter [37400/80000] lr: 1.725e-06, eta: 15:45:35, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1895, decode.acc_seg: 91.9910, loss: 0.1895 2023-11-02 15:47:36,123 - mmseg - INFO - Iter [37450/80000] lr: 1.723e-06, eta: 15:44:22, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2066, decode.acc_seg: 91.4051, loss: 0.2066 2023-11-02 15:48:36,769 - mmseg - INFO - Iter [37500/80000] lr: 1.721e-06, eta: 15:43:09, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2027, decode.acc_seg: 91.7267, loss: 0.2027 2023-11-02 15:49:37,451 - mmseg - INFO - Iter [37550/80000] lr: 1.719e-06, eta: 15:41:55, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1764, decode.acc_seg: 92.4528, loss: 0.1764 2023-11-02 15:50:38,146 - mmseg - INFO - Iter [37600/80000] lr: 1.717e-06, eta: 15:40:42, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1956, decode.acc_seg: 91.6906, loss: 0.1956 2023-11-02 15:51:38,829 - mmseg - INFO - Iter [37650/80000] lr: 1.715e-06, eta: 15:39:29, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2161, decode.acc_seg: 90.9414, loss: 0.2161 2023-11-02 15:52:39,580 - mmseg - INFO - Iter [37700/80000] lr: 1.713e-06, eta: 15:38:16, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2001, decode.acc_seg: 91.5134, loss: 0.2001 2023-11-02 15:53:40,296 - mmseg - INFO - Iter [37750/80000] lr: 1.711e-06, eta: 15:37:03, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1953, decode.acc_seg: 91.7569, loss: 0.1953 2023-11-02 15:54:41,015 - mmseg - INFO - Iter [37800/80000] lr: 1.709e-06, eta: 15:35:50, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2111, decode.acc_seg: 91.5013, loss: 0.2111 2023-11-02 15:55:41,753 - mmseg - INFO - Iter [37850/80000] lr: 1.707e-06, eta: 15:34:37, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1995, decode.acc_seg: 91.7153, loss: 0.1995 2023-11-02 15:56:45,120 - mmseg - INFO - Iter [37900/80000] lr: 1.705e-06, eta: 15:33:27, time: 1.267, data_time: 0.054, memory: 38534, decode.loss_ce: 0.1934, decode.acc_seg: 91.8945, loss: 0.1934 2023-11-02 15:57:45,887 - mmseg - INFO - Iter [37950/80000] lr: 1.703e-06, eta: 15:32:14, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1954, decode.acc_seg: 91.7659, loss: 0.1954 2023-11-02 15:58:46,618 - mmseg - INFO - Saving checkpoint at 38000 iterations 2023-11-02 15:59:41,476 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 15:59:41,477 - mmseg - INFO - Iter [38000/80000] lr: 1.701e-06, eta: 15:32:02, time: 2.312, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2145, decode.acc_seg: 91.0862, loss: 0.2145 2023-11-02 16:00:42,404 - mmseg - INFO - per class results: 2023-11-02 16:00:42,409 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 80.65 | 89.08 | | building | 83.47 | 94.2 | | sky | 94.61 | 97.13 | | floor | 83.38 | 91.19 | | tree | 77.17 | 90.39 | | ceiling | 86.11 | 92.39 | | road | 85.59 | 90.1 | | bed | 91.64 | 97.42 | | windowpane | 66.34 | 79.98 | | grass | 66.6 | 77.95 | | cabinet | 66.49 | 75.7 | | sidewalk | 69.77 | 83.5 | | person | 83.41 | 92.47 | | earth | 38.8 | 55.27 | | door | 60.66 | 75.01 | | table | 69.45 | 81.95 | | mountain | 60.53 | 76.39 | | plant | 53.36 | 66.48 | | curtain | 77.71 | 89.11 | | chair | 62.41 | 73.84 | | car | 86.71 | 93.45 | | water | 60.89 | 77.17 | | painting | 78.34 | 89.09 | | sofa | 80.43 | 86.06 | | shelf | 45.26 | 60.65 | | house | 47.29 | 56.25 | | sea | 69.82 | 91.44 | | mirror | 76.38 | 85.07 | | rug | 64.19 | 72.64 | | field | 28.32 | 51.94 | | armchair | 60.94 | 76.66 | | seat | 62.77 | 89.24 | | fence | 51.46 | 67.99 | | desk | 57.02 | 80.64 | | rock | 49.45 | 61.17 | | wardrobe | 55.0 | 71.53 | | lamp | 70.68 | 81.6 | | bathtub | 87.96 | 90.38 | | railing | 42.13 | 57.1 | | cushion | 64.77 | 79.96 | | base | 39.93 | 61.34 | | box | 35.2 | 42.16 | | column | 48.19 | 60.27 | | signboard | 38.09 | 51.42 | | chest of drawers | 47.68 | 74.79 | | counter | 40.37 | 53.48 | | sand | 59.95 | 85.26 | | sink | 77.76 | 85.78 | | skyscraper | 36.14 | 43.63 | | fireplace | 72.36 | 95.58 | | refrigerator | 86.36 | 94.84 | | grandstand | 50.25 | 80.43 | | path | 29.18 | 44.54 | | stairs | 34.77 | 44.16 | | runway | 65.67 | 82.3 | | case | 59.06 | 80.77 | | pool table | 94.14 | 97.97 | | pillow | 58.19 | 67.33 | | screen door | 80.26 | 82.67 | | stairway | 47.0 | 57.11 | | river | 15.31 | 21.17 | | bridge | 72.98 | 82.22 | | bookcase | 36.29 | 60.08 | | blind | 41.71 | 46.52 | | coffee table | 66.21 | 86.08 | | toilet | 89.03 | 93.29 | | flower | 39.51 | 56.0 | | book | 51.3 | 71.72 | | hill | 20.54 | 25.95 | | bench | 52.87 | 61.94 | | countertop | 61.0 | 73.66 | | stove | 84.04 | 91.01 | | palm | 52.21 | 77.93 | | kitchen island | 49.45 | 86.03 | | computer | 77.62 | 87.3 | | swivel chair | 46.31 | 70.08 | | boat | 74.84 | 88.24 | | bar | 65.14 | 80.75 | | arcade machine | 79.85 | 82.62 | | hovel | 44.15 | 48.41 | | bus | 92.62 | 96.33 | | towel | 74.95 | 86.43 | | light | 47.94 | 56.32 | | truck | 48.42 | 62.74 | | tower | 22.42 | 35.8 | | chandelier | 69.26 | 82.71 | | awning | 37.45 | 45.41 | | streetlight | 28.81 | 41.11 | | booth | 56.5 | 64.77 | | television receiver | 77.01 | 90.93 | | airplane | 85.62 | 94.43 | | dirt track | 9.38 | 56.01 | | apparel | 53.06 | 68.33 | | pole | 22.39 | 31.52 | | land | 3.44 | 5.25 | | bannister | 15.37 | 19.61 | | escalator | 58.31 | 76.41 | | ottoman | 51.59 | 72.31 | | bottle | 41.14 | 68.0 | | buffet | 61.52 | 74.84 | | poster | 35.86 | 40.94 | | stage | 14.01 | 35.86 | | van | 47.47 | 69.54 | | ship | 76.85 | 84.22 | | fountain | 42.35 | 42.62 | | conveyer belt | 78.29 | 94.11 | | canopy | 45.79 | 66.89 | | washer | 87.74 | 93.42 | | plaything | 34.23 | 43.34 | | swimming pool | 55.52 | 73.05 | | stool | 50.31 | 67.21 | | barrel | 47.29 | 64.96 | | basket | 43.15 | 57.24 | | waterfall | 49.54 | 60.6 | | tent | 95.49 | 98.5 | | bag | 19.05 | 20.54 | | minibike | 73.08 | 87.57 | | cradle | 80.66 | 97.01 | | oven | 66.74 | 78.03 | | ball | 60.26 | 71.03 | | food | 64.64 | 85.0 | | step | 10.67 | 12.48 | | tank | 61.91 | 66.22 | | trade name | 22.34 | 23.7 | | microwave | 89.74 | 94.97 | | pot | 58.7 | 66.03 | | animal | 72.01 | 74.53 | | bicycle | 57.49 | 71.74 | | lake | 57.79 | 69.67 | | dishwasher | 76.05 | 81.61 | | screen | 60.2 | 89.41 | | blanket | 32.14 | 38.81 | | sculpture | 70.93 | 85.03 | | hood | 61.46 | 72.61 | | sconce | 55.02 | 66.52 | | vase | 45.06 | 60.58 | | traffic light | 36.93 | 54.38 | | tray | 19.71 | 26.12 | | ashcan | 50.14 | 67.28 | | fan | 64.31 | 78.32 | | pier | 39.45 | 43.03 | | crt screen | 3.55 | 7.2 | | plate | 58.8 | 75.83 | | monitor | 31.55 | 38.84 | | bulletin board | 60.65 | 73.91 | | shower | 12.53 | 13.73 | | radiator | 63.45 | 79.68 | | glass | 17.69 | 18.69 | | clock | 48.24 | 59.71 | | flag | 67.08 | 73.07 | +---------------------+-------+-------+ 2023-11-02 16:00:42,409 - mmseg - INFO - Summary: 2023-11-02 16:00:42,410 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 85.34 | 56.33 | 68.74 | +-------+-------+-------+ 2023-11-02 16:00:42,410 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 16:00:42,411 - mmseg - INFO - Iter(val) [250] aAcc: 0.8534, mIoU: 0.5633, mAcc: 0.6874, IoU.wall: 0.8065, IoU.building: 0.8347, IoU.sky: 0.9461, IoU.floor: 0.8338, IoU.tree: 0.7717, IoU.ceiling: 0.8611, IoU.road: 0.8559, IoU.bed : 0.9164, IoU.windowpane: 0.6634, IoU.grass: 0.6660, IoU.cabinet: 0.6649, IoU.sidewalk: 0.6977, IoU.person: 0.8341, IoU.earth: 0.3880, IoU.door: 0.6066, IoU.table: 0.6945, IoU.mountain: 0.6053, IoU.plant: 0.5336, IoU.curtain: 0.7771, IoU.chair: 0.6241, IoU.car: 0.8671, IoU.water: 0.6089, IoU.painting: 0.7834, IoU.sofa: 0.8043, IoU.shelf: 0.4526, IoU.house: 0.4729, IoU.sea: 0.6982, IoU.mirror: 0.7638, IoU.rug: 0.6419, IoU.field: 0.2832, IoU.armchair: 0.6094, IoU.seat: 0.6277, IoU.fence: 0.5146, IoU.desk: 0.5702, IoU.rock: 0.4945, IoU.wardrobe: 0.5500, IoU.lamp: 0.7068, IoU.bathtub: 0.8796, IoU.railing: 0.4213, IoU.cushion: 0.6477, IoU.base: 0.3993, IoU.box: 0.3520, IoU.column: 0.4819, IoU.signboard: 0.3809, IoU.chest of drawers: 0.4768, IoU.counter: 0.4037, IoU.sand: 0.5995, IoU.sink: 0.7776, IoU.skyscraper: 0.3614, IoU.fireplace: 0.7236, IoU.refrigerator: 0.8636, IoU.grandstand: 0.5025, IoU.path: 0.2918, IoU.stairs: 0.3477, IoU.runway: 0.6567, IoU.case: 0.5906, IoU.pool table: 0.9414, IoU.pillow: 0.5819, IoU.screen door: 0.8026, IoU.stairway: 0.4700, IoU.river: 0.1531, IoU.bridge: 0.7298, IoU.bookcase: 0.3629, IoU.blind: 0.4171, IoU.coffee table: 0.6621, IoU.toilet: 0.8903, IoU.flower: 0.3951, IoU.book: 0.5130, IoU.hill: 0.2054, IoU.bench: 0.5287, IoU.countertop: 0.6100, IoU.stove: 0.8404, IoU.palm: 0.5221, IoU.kitchen island: 0.4945, IoU.computer: 0.7762, IoU.swivel chair: 0.4631, IoU.boat: 0.7484, IoU.bar: 0.6514, IoU.arcade machine: 0.7985, IoU.hovel: 0.4415, IoU.bus: 0.9262, IoU.towel: 0.7495, IoU.light: 0.4794, IoU.truck: 0.4842, IoU.tower: 0.2242, IoU.chandelier: 0.6926, IoU.awning: 0.3745, IoU.streetlight: 0.2881, IoU.booth: 0.5650, IoU.television receiver: 0.7701, IoU.airplane: 0.8562, IoU.dirt track: 0.0938, IoU.apparel: 0.5306, IoU.pole: 0.2239, IoU.land: 0.0344, IoU.bannister: 0.1537, IoU.escalator: 0.5831, IoU.ottoman: 0.5159, IoU.bottle: 0.4114, IoU.buffet: 0.6152, IoU.poster: 0.3586, IoU.stage: 0.1401, IoU.van: 0.4747, IoU.ship: 0.7685, IoU.fountain: 0.4235, IoU.conveyer belt: 0.7829, IoU.canopy: 0.4579, IoU.washer: 0.8774, IoU.plaything: 0.3423, IoU.swimming pool: 0.5552, IoU.stool: 0.5031, IoU.barrel: 0.4729, IoU.basket: 0.4315, IoU.waterfall: 0.4954, IoU.tent: 0.9549, IoU.bag: 0.1905, IoU.minibike: 0.7308, IoU.cradle: 0.8066, IoU.oven: 0.6674, IoU.ball: 0.6026, IoU.food: 0.6464, IoU.step: 0.1067, IoU.tank: 0.6191, IoU.trade name: 0.2234, IoU.microwave: 0.8974, IoU.pot: 0.5870, IoU.animal: 0.7201, IoU.bicycle: 0.5749, IoU.lake: 0.5779, IoU.dishwasher: 0.7605, IoU.screen: 0.6020, IoU.blanket: 0.3214, IoU.sculpture: 0.7093, IoU.hood: 0.6146, IoU.sconce: 0.5502, IoU.vase: 0.4506, IoU.traffic light: 0.3693, IoU.tray: 0.1971, IoU.ashcan: 0.5014, IoU.fan: 0.6431, IoU.pier: 0.3945, IoU.crt screen: 0.0355, IoU.plate: 0.5880, IoU.monitor: 0.3155, IoU.bulletin board: 0.6065, IoU.shower: 0.1253, IoU.radiator: 0.6345, IoU.glass: 0.1769, IoU.clock: 0.4824, IoU.flag: 0.6708, Acc.wall: 0.8908, Acc.building: 0.9420, Acc.sky: 0.9713, Acc.floor: 0.9119, Acc.tree: 0.9039, Acc.ceiling: 0.9239, Acc.road: 0.9010, Acc.bed : 0.9742, Acc.windowpane: 0.7998, Acc.grass: 0.7795, Acc.cabinet: 0.7570, Acc.sidewalk: 0.8350, Acc.person: 0.9247, Acc.earth: 0.5527, Acc.door: 0.7501, Acc.table: 0.8195, Acc.mountain: 0.7639, Acc.plant: 0.6648, Acc.curtain: 0.8911, Acc.chair: 0.7384, Acc.car: 0.9345, Acc.water: 0.7717, Acc.painting: 0.8909, Acc.sofa: 0.8606, Acc.shelf: 0.6065, Acc.house: 0.5625, Acc.sea: 0.9144, Acc.mirror: 0.8507, Acc.rug: 0.7264, Acc.field: 0.5194, Acc.armchair: 0.7666, Acc.seat: 0.8924, Acc.fence: 0.6799, Acc.desk: 0.8064, Acc.rock: 0.6117, Acc.wardrobe: 0.7153, Acc.lamp: 0.8160, Acc.bathtub: 0.9038, Acc.railing: 0.5710, Acc.cushion: 0.7996, Acc.base: 0.6134, Acc.box: 0.4216, Acc.column: 0.6027, Acc.signboard: 0.5142, Acc.chest of drawers: 0.7479, Acc.counter: 0.5348, Acc.sand: 0.8526, Acc.sink: 0.8578, Acc.skyscraper: 0.4363, Acc.fireplace: 0.9558, Acc.refrigerator: 0.9484, Acc.grandstand: 0.8043, Acc.path: 0.4454, Acc.stairs: 0.4416, Acc.runway: 0.8230, Acc.case: 0.8077, Acc.pool table: 0.9797, Acc.pillow: 0.6733, Acc.screen door: 0.8267, Acc.stairway: 0.5711, Acc.river: 0.2117, Acc.bridge: 0.8222, Acc.bookcase: 0.6008, Acc.blind: 0.4652, Acc.coffee table: 0.8608, Acc.toilet: 0.9329, Acc.flower: 0.5600, Acc.book: 0.7172, Acc.hill: 0.2595, Acc.bench: 0.6194, Acc.countertop: 0.7366, Acc.stove: 0.9101, Acc.palm: 0.7793, Acc.kitchen island: 0.8603, Acc.computer: 0.8730, Acc.swivel chair: 0.7008, Acc.boat: 0.8824, Acc.bar: 0.8075, Acc.arcade machine: 0.8262, Acc.hovel: 0.4841, Acc.bus: 0.9633, Acc.towel: 0.8643, Acc.light: 0.5632, Acc.truck: 0.6274, Acc.tower: 0.3580, Acc.chandelier: 0.8271, Acc.awning: 0.4541, Acc.streetlight: 0.4111, Acc.booth: 0.6477, Acc.television receiver: 0.9093, Acc.airplane: 0.9443, Acc.dirt track: 0.5601, Acc.apparel: 0.6833, Acc.pole: 0.3152, Acc.land: 0.0525, Acc.bannister: 0.1961, Acc.escalator: 0.7641, Acc.ottoman: 0.7231, Acc.bottle: 0.6800, Acc.buffet: 0.7484, Acc.poster: 0.4094, Acc.stage: 0.3586, Acc.van: 0.6954, Acc.ship: 0.8422, Acc.fountain: 0.4262, Acc.conveyer belt: 0.9411, Acc.canopy: 0.6689, Acc.washer: 0.9342, Acc.plaything: 0.4334, Acc.swimming pool: 0.7305, Acc.stool: 0.6721, Acc.barrel: 0.6496, Acc.basket: 0.5724, Acc.waterfall: 0.6060, Acc.tent: 0.9850, Acc.bag: 0.2054, Acc.minibike: 0.8757, Acc.cradle: 0.9701, Acc.oven: 0.7803, Acc.ball: 0.7103, Acc.food: 0.8500, Acc.step: 0.1248, Acc.tank: 0.6622, Acc.trade name: 0.2370, Acc.microwave: 0.9497, Acc.pot: 0.6603, Acc.animal: 0.7453, Acc.bicycle: 0.7174, Acc.lake: 0.6967, Acc.dishwasher: 0.8161, Acc.screen: 0.8941, Acc.blanket: 0.3881, Acc.sculpture: 0.8503, Acc.hood: 0.7261, Acc.sconce: 0.6652, Acc.vase: 0.6058, Acc.traffic light: 0.5438, Acc.tray: 0.2612, Acc.ashcan: 0.6728, Acc.fan: 0.7832, Acc.pier: 0.4303, Acc.crt screen: 0.0720, Acc.plate: 0.7583, Acc.monitor: 0.3884, Acc.bulletin board: 0.7391, Acc.shower: 0.1373, Acc.radiator: 0.7968, Acc.glass: 0.1869, Acc.clock: 0.5971, Acc.flag: 0.7307 2023-11-02 16:01:43,243 - mmseg - INFO - Iter [38050/80000] lr: 1.699e-06, eta: 15:31:56, time: 2.435, data_time: 1.226, memory: 38534, decode.loss_ce: 0.1916, decode.acc_seg: 91.9163, loss: 0.1916 2023-11-02 16:02:43,996 - mmseg - INFO - Iter [38100/80000] lr: 1.697e-06, eta: 15:30:43, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1919, decode.acc_seg: 92.0630, loss: 0.1919 2023-11-02 16:03:44,712 - mmseg - INFO - Iter [38150/80000] lr: 1.695e-06, eta: 15:29:30, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1931, decode.acc_seg: 91.8562, loss: 0.1931 2023-11-02 16:04:45,391 - mmseg - INFO - Iter [38200/80000] lr: 1.693e-06, eta: 15:28:17, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1919, decode.acc_seg: 91.8728, loss: 0.1919 2023-11-02 16:05:46,064 - mmseg - INFO - Iter [38250/80000] lr: 1.691e-06, eta: 15:27:03, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1867, decode.acc_seg: 92.2839, loss: 0.1867 2023-11-02 16:06:46,757 - mmseg - INFO - Iter [38300/80000] lr: 1.689e-06, eta: 15:25:50, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1962, decode.acc_seg: 91.6581, loss: 0.1962 2023-11-02 16:07:47,462 - mmseg - INFO - Iter [38350/80000] lr: 1.687e-06, eta: 15:24:37, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1975, decode.acc_seg: 91.9257, loss: 0.1975 2023-11-02 16:08:48,189 - mmseg - INFO - Iter [38400/80000] lr: 1.685e-06, eta: 15:23:24, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1880, decode.acc_seg: 92.2114, loss: 0.1880 2023-11-02 16:09:48,947 - mmseg - INFO - Iter [38450/80000] lr: 1.683e-06, eta: 15:22:11, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1935, decode.acc_seg: 91.9088, loss: 0.1935 2023-11-02 16:10:49,611 - mmseg - INFO - Iter [38500/80000] lr: 1.681e-06, eta: 15:20:58, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1773, decode.acc_seg: 92.5852, loss: 0.1773 2023-11-02 16:11:50,332 - mmseg - INFO - Iter [38550/80000] lr: 1.679e-06, eta: 15:19:46, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1952, decode.acc_seg: 91.9426, loss: 0.1952 2023-11-02 16:12:51,052 - mmseg - INFO - Iter [38600/80000] lr: 1.677e-06, eta: 15:18:33, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1807, decode.acc_seg: 92.3178, loss: 0.1807 2023-11-02 16:13:51,747 - mmseg - INFO - Iter [38650/80000] lr: 1.675e-06, eta: 15:17:20, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1900, decode.acc_seg: 92.2601, loss: 0.1900 2023-11-02 16:14:52,439 - mmseg - INFO - Iter [38700/80000] lr: 1.673e-06, eta: 15:16:07, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1997, decode.acc_seg: 91.7630, loss: 0.1997 2023-11-02 16:15:53,171 - mmseg - INFO - Iter [38750/80000] lr: 1.671e-06, eta: 15:14:54, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1936, decode.acc_seg: 92.1072, loss: 0.1936 2023-11-02 16:16:53,830 - mmseg - INFO - Iter [38800/80000] lr: 1.669e-06, eta: 15:13:42, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1995, decode.acc_seg: 91.5181, loss: 0.1995 2023-11-02 16:17:54,497 - mmseg - INFO - Iter [38850/80000] lr: 1.667e-06, eta: 15:12:29, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2039, decode.acc_seg: 91.7500, loss: 0.2039 2023-11-02 16:18:55,224 - mmseg - INFO - Iter [38900/80000] lr: 1.664e-06, eta: 15:11:16, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2031, decode.acc_seg: 91.6081, loss: 0.2031 2023-11-02 16:19:55,898 - mmseg - INFO - Iter [38950/80000] lr: 1.662e-06, eta: 15:10:04, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1880, decode.acc_seg: 92.0481, loss: 0.1880 2023-11-02 16:20:56,615 - mmseg - INFO - Saving checkpoint at 39000 iterations 2023-11-02 16:21:49,924 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 16:21:49,924 - mmseg - INFO - Iter [39000/80000] lr: 1.660e-06, eta: 15:09:47, time: 2.281, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1943, decode.acc_seg: 91.7838, loss: 0.1943 2023-11-02 16:22:52,521 - mmseg - INFO - per class results: 2023-11-02 16:22:52,526 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 80.58 | 89.31 | | building | 84.32 | 92.82 | | sky | 94.56 | 96.97 | | floor | 84.02 | 91.8 | | tree | 76.56 | 91.23 | | ceiling | 86.46 | 92.56 | | road | 85.49 | 91.3 | | bed | 92.04 | 96.85 | | windowpane | 66.49 | 79.87 | | grass | 68.79 | 80.38 | | cabinet | 68.47 | 77.24 | | sidewalk | 69.59 | 84.24 | | person | 83.27 | 93.43 | | earth | 39.18 | 53.27 | | door | 58.91 | 77.02 | | table | 69.23 | 80.89 | | mountain | 61.69 | 72.28 | | plant | 54.0 | 68.56 | | curtain | 79.16 | 87.56 | | chair | 62.11 | 74.13 | | car | 86.64 | 94.06 | | water | 61.66 | 77.85 | | painting | 78.83 | 90.16 | | sofa | 81.84 | 90.75 | | shelf | 45.28 | 60.4 | | house | 55.88 | 74.73 | | sea | 71.64 | 91.04 | | mirror | 75.33 | 84.31 | | rug | 64.44 | 72.33 | | field | 33.72 | 54.5 | | armchair | 61.85 | 76.18 | | seat | 61.74 | 88.76 | | fence | 51.94 | 67.68 | | desk | 56.71 | 79.03 | | rock | 56.05 | 81.06 | | wardrobe | 62.14 | 75.34 | | lamp | 70.4 | 83.18 | | bathtub | 86.25 | 89.79 | | railing | 42.46 | 63.76 | | cushion | 62.96 | 79.07 | | base | 37.4 | 50.86 | | box | 40.93 | 52.59 | | column | 49.9 | 63.33 | | signboard | 39.72 | 53.32 | | chest of drawers | 50.82 | 75.28 | | counter | 46.38 | 60.09 | | sand | 60.74 | 84.68 | | sink | 78.46 | 83.31 | | skyscraper | 46.97 | 58.33 | | fireplace | 71.63 | 89.95 | | refrigerator | 86.39 | 94.26 | | grandstand | 59.74 | 78.21 | | path | 30.98 | 38.24 | | stairs | 30.45 | 37.04 | | runway | 67.93 | 88.29 | | case | 60.7 | 80.62 | | pool table | 94.15 | 97.09 | | pillow | 59.35 | 68.22 | | screen door | 69.82 | 70.76 | | stairway | 41.47 | 66.72 | | river | 13.88 | 19.11 | | bridge | 70.72 | 76.07 | | bookcase | 34.9 | 52.77 | | blind | 42.87 | 52.72 | | coffee table | 64.44 | 86.69 | | toilet | 89.22 | 93.51 | | flower | 39.71 | 53.99 | | book | 49.11 | 81.27 | | hill | 18.4 | 23.57 | | bench | 52.75 | 59.68 | | countertop | 61.31 | 86.29 | | stove | 84.82 | 92.09 | | palm | 51.37 | 76.26 | | kitchen island | 55.58 | 81.16 | | computer | 75.66 | 90.14 | | swivel chair | 46.22 | 73.24 | | boat | 76.1 | 89.36 | | bar | 64.88 | 83.53 | | arcade machine | 72.24 | 74.36 | | hovel | 38.46 | 43.11 | | bus | 92.94 | 95.87 | | towel | 75.55 | 84.1 | | light | 50.25 | 61.94 | | truck | 50.13 | 61.72 | | tower | 12.65 | 19.92 | | chandelier | 70.07 | 82.38 | | awning | 29.81 | 33.73 | | streetlight | 29.45 | 42.0 | | booth | 53.97 | 62.84 | | television receiver | 74.97 | 88.92 | | airplane | 82.27 | 88.56 | | dirt track | 7.61 | 29.57 | | apparel | 59.03 | 74.03 | | pole | 20.14 | 27.6 | | land | 4.02 | 5.22 | | bannister | 17.18 | 23.46 | | escalator | 56.86 | 70.43 | | ottoman | 49.12 | 68.96 | | bottle | 42.05 | 70.77 | | buffet | 63.38 | 75.38 | | poster | 39.9 | 49.07 | | stage | 15.24 | 31.79 | | van | 47.3 | 60.61 | | ship | 66.83 | 70.08 | | fountain | 34.15 | 34.28 | | conveyer belt | 78.21 | 94.83 | | canopy | 47.83 | 72.74 | | washer | 84.54 | 89.66 | | plaything | 34.87 | 50.44 | | swimming pool | 57.19 | 72.1 | | stool | 46.64 | 67.05 | | barrel | 57.71 | 68.45 | | basket | 43.19 | 57.8 | | waterfall | 46.51 | 59.33 | | tent | 94.93 | 97.71 | | bag | 19.3 | 20.46 | | minibike | 74.74 | 88.65 | | cradle | 81.3 | 98.05 | | oven | 67.07 | 79.83 | | ball | 58.26 | 66.96 | | food | 67.08 | 75.9 | | step | 12.5 | 14.48 | | tank | 62.94 | 64.63 | | trade name | 26.25 | 29.67 | | microwave | 89.55 | 95.75 | | pot | 57.47 | 65.56 | | animal | 73.89 | 77.65 | | bicycle | 60.63 | 75.87 | | lake | 55.63 | 63.69 | | dishwasher | 76.01 | 82.0 | | screen | 54.41 | 79.64 | | blanket | 29.76 | 33.69 | | sculpture | 73.98 | 85.86 | | hood | 62.13 | 72.4 | | sconce | 57.02 | 71.95 | | vase | 46.87 | 61.48 | | traffic light | 37.18 | 55.77 | | tray | 21.65 | 27.86 | | ashcan | 50.6 | 64.59 | | fan | 64.26 | 75.93 | | pier | 38.84 | 45.46 | | crt screen | 5.4 | 13.58 | | plate | 58.98 | 77.86 | | monitor | 21.37 | 24.13 | | bulletin board | 60.38 | 73.37 | | shower | 11.89 | 21.98 | | radiator | 63.44 | 75.49 | | glass | 20.28 | 22.37 | | clock | 46.69 | 62.5 | | flag | 67.02 | 78.94 | +---------------------+-------+-------+ 2023-11-02 16:22:52,526 - mmseg - INFO - Summary: 2023-11-02 16:22:52,526 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 85.64 | 56.47 | 68.62 | +-------+-------+-------+ 2023-11-02 16:22:52,527 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 16:22:52,527 - mmseg - INFO - Iter(val) [250] aAcc: 0.8564, mIoU: 0.5647, mAcc: 0.6862, IoU.wall: 0.8058, IoU.building: 0.8432, IoU.sky: 0.9456, IoU.floor: 0.8402, IoU.tree: 0.7656, IoU.ceiling: 0.8646, IoU.road: 0.8549, IoU.bed : 0.9204, IoU.windowpane: 0.6649, IoU.grass: 0.6879, IoU.cabinet: 0.6847, IoU.sidewalk: 0.6959, IoU.person: 0.8327, IoU.earth: 0.3918, IoU.door: 0.5891, IoU.table: 0.6923, IoU.mountain: 0.6169, IoU.plant: 0.5400, IoU.curtain: 0.7916, IoU.chair: 0.6211, IoU.car: 0.8664, IoU.water: 0.6166, IoU.painting: 0.7883, IoU.sofa: 0.8184, IoU.shelf: 0.4528, IoU.house: 0.5588, IoU.sea: 0.7164, IoU.mirror: 0.7533, IoU.rug: 0.6444, IoU.field: 0.3372, IoU.armchair: 0.6185, IoU.seat: 0.6174, IoU.fence: 0.5194, IoU.desk: 0.5671, IoU.rock: 0.5605, IoU.wardrobe: 0.6214, IoU.lamp: 0.7040, IoU.bathtub: 0.8625, IoU.railing: 0.4246, IoU.cushion: 0.6296, IoU.base: 0.3740, IoU.box: 0.4093, IoU.column: 0.4990, IoU.signboard: 0.3972, IoU.chest of drawers: 0.5082, IoU.counter: 0.4638, IoU.sand: 0.6074, IoU.sink: 0.7846, IoU.skyscraper: 0.4697, IoU.fireplace: 0.7163, IoU.refrigerator: 0.8639, IoU.grandstand: 0.5974, IoU.path: 0.3098, IoU.stairs: 0.3045, IoU.runway: 0.6793, IoU.case: 0.6070, IoU.pool table: 0.9415, IoU.pillow: 0.5935, IoU.screen door: 0.6982, IoU.stairway: 0.4147, IoU.river: 0.1388, IoU.bridge: 0.7072, IoU.bookcase: 0.3490, IoU.blind: 0.4287, IoU.coffee table: 0.6444, IoU.toilet: 0.8922, IoU.flower: 0.3971, IoU.book: 0.4911, IoU.hill: 0.1840, IoU.bench: 0.5275, IoU.countertop: 0.6131, IoU.stove: 0.8482, IoU.palm: 0.5137, IoU.kitchen island: 0.5558, IoU.computer: 0.7566, IoU.swivel chair: 0.4622, IoU.boat: 0.7610, IoU.bar: 0.6488, IoU.arcade machine: 0.7224, IoU.hovel: 0.3846, IoU.bus: 0.9294, IoU.towel: 0.7555, IoU.light: 0.5025, IoU.truck: 0.5013, IoU.tower: 0.1265, IoU.chandelier: 0.7007, IoU.awning: 0.2981, IoU.streetlight: 0.2945, IoU.booth: 0.5397, IoU.television receiver: 0.7497, IoU.airplane: 0.8227, IoU.dirt track: 0.0761, IoU.apparel: 0.5903, IoU.pole: 0.2014, IoU.land: 0.0402, IoU.bannister: 0.1718, IoU.escalator: 0.5686, IoU.ottoman: 0.4912, IoU.bottle: 0.4205, IoU.buffet: 0.6338, IoU.poster: 0.3990, IoU.stage: 0.1524, IoU.van: 0.4730, IoU.ship: 0.6683, IoU.fountain: 0.3415, IoU.conveyer belt: 0.7821, IoU.canopy: 0.4783, IoU.washer: 0.8454, IoU.plaything: 0.3487, IoU.swimming pool: 0.5719, IoU.stool: 0.4664, IoU.barrel: 0.5771, IoU.basket: 0.4319, IoU.waterfall: 0.4651, IoU.tent: 0.9493, IoU.bag: 0.1930, IoU.minibike: 0.7474, IoU.cradle: 0.8130, IoU.oven: 0.6707, IoU.ball: 0.5826, IoU.food: 0.6708, IoU.step: 0.1250, IoU.tank: 0.6294, IoU.trade name: 0.2625, IoU.microwave: 0.8955, IoU.pot: 0.5747, IoU.animal: 0.7389, IoU.bicycle: 0.6063, IoU.lake: 0.5563, IoU.dishwasher: 0.7601, IoU.screen: 0.5441, IoU.blanket: 0.2976, IoU.sculpture: 0.7398, IoU.hood: 0.6213, IoU.sconce: 0.5702, IoU.vase: 0.4687, IoU.traffic light: 0.3718, IoU.tray: 0.2165, IoU.ashcan: 0.5060, IoU.fan: 0.6426, IoU.pier: 0.3884, IoU.crt screen: 0.0540, IoU.plate: 0.5898, IoU.monitor: 0.2137, IoU.bulletin board: 0.6038, IoU.shower: 0.1189, IoU.radiator: 0.6344, IoU.glass: 0.2028, IoU.clock: 0.4669, IoU.flag: 0.6702, Acc.wall: 0.8931, Acc.building: 0.9282, Acc.sky: 0.9697, Acc.floor: 0.9180, Acc.tree: 0.9123, Acc.ceiling: 0.9256, Acc.road: 0.9130, Acc.bed : 0.9685, Acc.windowpane: 0.7987, Acc.grass: 0.8038, Acc.cabinet: 0.7724, Acc.sidewalk: 0.8424, Acc.person: 0.9343, Acc.earth: 0.5327, Acc.door: 0.7702, Acc.table: 0.8089, Acc.mountain: 0.7228, Acc.plant: 0.6856, Acc.curtain: 0.8756, Acc.chair: 0.7413, Acc.car: 0.9406, Acc.water: 0.7785, Acc.painting: 0.9016, Acc.sofa: 0.9075, Acc.shelf: 0.6040, Acc.house: 0.7473, Acc.sea: 0.9104, Acc.mirror: 0.8431, Acc.rug: 0.7233, Acc.field: 0.5450, Acc.armchair: 0.7618, Acc.seat: 0.8876, Acc.fence: 0.6768, Acc.desk: 0.7903, Acc.rock: 0.8106, Acc.wardrobe: 0.7534, Acc.lamp: 0.8318, Acc.bathtub: 0.8979, Acc.railing: 0.6376, Acc.cushion: 0.7907, Acc.base: 0.5086, Acc.box: 0.5259, Acc.column: 0.6333, Acc.signboard: 0.5332, Acc.chest of drawers: 0.7528, Acc.counter: 0.6009, Acc.sand: 0.8468, Acc.sink: 0.8331, Acc.skyscraper: 0.5833, Acc.fireplace: 0.8995, Acc.refrigerator: 0.9426, Acc.grandstand: 0.7821, Acc.path: 0.3824, Acc.stairs: 0.3704, Acc.runway: 0.8829, Acc.case: 0.8062, Acc.pool table: 0.9709, Acc.pillow: 0.6822, Acc.screen door: 0.7076, Acc.stairway: 0.6672, Acc.river: 0.1911, Acc.bridge: 0.7607, Acc.bookcase: 0.5277, Acc.blind: 0.5272, Acc.coffee table: 0.8669, Acc.toilet: 0.9351, Acc.flower: 0.5399, Acc.book: 0.8127, Acc.hill: 0.2357, Acc.bench: 0.5968, Acc.countertop: 0.8629, Acc.stove: 0.9209, Acc.palm: 0.7626, Acc.kitchen island: 0.8116, Acc.computer: 0.9014, Acc.swivel chair: 0.7324, Acc.boat: 0.8936, Acc.bar: 0.8353, Acc.arcade machine: 0.7436, Acc.hovel: 0.4311, Acc.bus: 0.9587, Acc.towel: 0.8410, Acc.light: 0.6194, Acc.truck: 0.6172, Acc.tower: 0.1992, Acc.chandelier: 0.8238, Acc.awning: 0.3373, Acc.streetlight: 0.4200, Acc.booth: 0.6284, Acc.television receiver: 0.8892, Acc.airplane: 0.8856, Acc.dirt track: 0.2957, Acc.apparel: 0.7403, Acc.pole: 0.2760, Acc.land: 0.0522, Acc.bannister: 0.2346, Acc.escalator: 0.7043, Acc.ottoman: 0.6896, Acc.bottle: 0.7077, Acc.buffet: 0.7538, Acc.poster: 0.4907, Acc.stage: 0.3179, Acc.van: 0.6061, Acc.ship: 0.7008, Acc.fountain: 0.3428, Acc.conveyer belt: 0.9483, Acc.canopy: 0.7274, Acc.washer: 0.8966, Acc.plaything: 0.5044, Acc.swimming pool: 0.7210, Acc.stool: 0.6705, Acc.barrel: 0.6845, Acc.basket: 0.5780, Acc.waterfall: 0.5933, Acc.tent: 0.9771, Acc.bag: 0.2046, Acc.minibike: 0.8865, Acc.cradle: 0.9805, Acc.oven: 0.7983, Acc.ball: 0.6696, Acc.food: 0.7590, Acc.step: 0.1448, Acc.tank: 0.6463, Acc.trade name: 0.2967, Acc.microwave: 0.9575, Acc.pot: 0.6556, Acc.animal: 0.7765, Acc.bicycle: 0.7587, Acc.lake: 0.6369, Acc.dishwasher: 0.8200, Acc.screen: 0.7964, Acc.blanket: 0.3369, Acc.sculpture: 0.8586, Acc.hood: 0.7240, Acc.sconce: 0.7195, Acc.vase: 0.6148, Acc.traffic light: 0.5577, Acc.tray: 0.2786, Acc.ashcan: 0.6459, Acc.fan: 0.7593, Acc.pier: 0.4546, Acc.crt screen: 0.1358, Acc.plate: 0.7786, Acc.monitor: 0.2413, Acc.bulletin board: 0.7337, Acc.shower: 0.2198, Acc.radiator: 0.7549, Acc.glass: 0.2237, Acc.clock: 0.6250, Acc.flag: 0.7894 2023-11-02 16:23:53,329 - mmseg - INFO - Iter [39050/80000] lr: 1.658e-06, eta: 15:09:40, time: 2.468, data_time: 1.259, memory: 38534, decode.loss_ce: 0.1976, decode.acc_seg: 91.6327, loss: 0.1976 2023-11-02 16:24:54,060 - mmseg - INFO - Iter [39100/80000] lr: 1.656e-06, eta: 15:08:27, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1945, decode.acc_seg: 91.7876, loss: 0.1945 2023-11-02 16:25:54,815 - mmseg - INFO - Iter [39150/80000] lr: 1.654e-06, eta: 15:07:14, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1821, decode.acc_seg: 92.2694, loss: 0.1821 2023-11-02 16:26:57,997 - mmseg - INFO - Iter [39200/80000] lr: 1.652e-06, eta: 15:06:04, time: 1.264, data_time: 0.054, memory: 38534, decode.loss_ce: 0.1908, decode.acc_seg: 92.0380, loss: 0.1908 2023-11-02 16:27:58,706 - mmseg - INFO - Iter [39250/80000] lr: 1.650e-06, eta: 15:04:51, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1951, decode.acc_seg: 92.0563, loss: 0.1951 2023-11-02 16:28:59,420 - mmseg - INFO - Iter [39300/80000] lr: 1.648e-06, eta: 15:03:39, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1848, decode.acc_seg: 92.3539, loss: 0.1848 2023-11-02 16:30:00,078 - mmseg - INFO - Iter [39350/80000] lr: 1.646e-06, eta: 15:02:26, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1985, decode.acc_seg: 91.8306, loss: 0.1985 2023-11-02 16:31:00,772 - mmseg - INFO - Iter [39400/80000] lr: 1.644e-06, eta: 15:01:13, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1831, decode.acc_seg: 92.4632, loss: 0.1831 2023-11-02 16:32:01,473 - mmseg - INFO - Iter [39450/80000] lr: 1.642e-06, eta: 15:00:01, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1898, decode.acc_seg: 91.8075, loss: 0.1898 2023-11-02 16:33:02,145 - mmseg - INFO - Iter [39500/80000] lr: 1.640e-06, eta: 14:58:48, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1787, decode.acc_seg: 92.4909, loss: 0.1787 2023-11-02 16:34:02,887 - mmseg - INFO - Iter [39550/80000] lr: 1.638e-06, eta: 14:57:35, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1864, decode.acc_seg: 92.1863, loss: 0.1864 2023-11-02 16:35:03,567 - mmseg - INFO - Iter [39600/80000] lr: 1.636e-06, eta: 14:56:23, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1897, decode.acc_seg: 92.1160, loss: 0.1897 2023-11-02 16:36:04,285 - mmseg - INFO - Iter [39650/80000] lr: 1.634e-06, eta: 14:55:10, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1762, decode.acc_seg: 92.4000, loss: 0.1762 2023-11-02 16:37:04,980 - mmseg - INFO - Iter [39700/80000] lr: 1.632e-06, eta: 14:53:58, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1936, decode.acc_seg: 91.7616, loss: 0.1936 2023-11-02 16:38:05,663 - mmseg - INFO - Iter [39750/80000] lr: 1.630e-06, eta: 14:52:45, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2022, decode.acc_seg: 91.4812, loss: 0.2022 2023-11-02 16:39:06,378 - mmseg - INFO - Iter [39800/80000] lr: 1.628e-06, eta: 14:51:33, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1917, decode.acc_seg: 91.9240, loss: 0.1917 2023-11-02 16:40:07,128 - mmseg - INFO - Iter [39850/80000] lr: 1.626e-06, eta: 14:50:21, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1947, decode.acc_seg: 91.9291, loss: 0.1947 2023-11-02 16:41:07,858 - mmseg - INFO - Iter [39900/80000] lr: 1.624e-06, eta: 14:49:08, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1828, decode.acc_seg: 92.4429, loss: 0.1828 2023-11-02 16:42:08,584 - mmseg - INFO - Iter [39950/80000] lr: 1.622e-06, eta: 14:47:56, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1917, decode.acc_seg: 92.0203, loss: 0.1917 2023-11-02 16:43:09,258 - mmseg - INFO - Saving checkpoint at 40000 iterations 2023-11-02 16:44:04,495 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 16:44:04,495 - mmseg - INFO - Iter [40000/80000] lr: 1.620e-06, eta: 14:47:39, time: 2.318, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1865, decode.acc_seg: 92.2254, loss: 0.1865 2023-11-02 16:45:05,181 - mmseg - INFO - per class results: 2023-11-02 16:45:05,186 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 80.5 | 89.04 | | building | 84.15 | 92.91 | | sky | 94.41 | 96.75 | | floor | 84.29 | 91.52 | | tree | 75.98 | 91.18 | | ceiling | 86.09 | 92.97 | | road | 86.33 | 90.59 | | bed | 91.82 | 97.1 | | windowpane | 66.23 | 78.43 | | grass | 68.69 | 85.68 | | cabinet | 65.84 | 75.62 | | sidewalk | 70.17 | 85.91 | | person | 83.4 | 93.03 | | earth | 42.27 | 53.34 | | door | 59.04 | 79.48 | | table | 69.81 | 81.44 | | mountain | 60.08 | 74.84 | | plant | 54.99 | 66.98 | | curtain | 77.06 | 90.18 | | chair | 62.72 | 77.2 | | car | 86.35 | 94.16 | | water | 61.35 | 77.63 | | painting | 78.6 | 90.51 | | sofa | 81.93 | 89.91 | | shelf | 45.14 | 55.44 | | house | 55.56 | 72.58 | | sea | 68.42 | 81.69 | | mirror | 75.84 | 85.49 | | rug | 64.74 | 73.75 | | field | 30.67 | 49.04 | | armchair | 62.25 | 77.52 | | seat | 63.02 | 88.42 | | fence | 50.78 | 66.95 | | desk | 58.41 | 80.39 | | rock | 53.04 | 76.3 | | wardrobe | 52.18 | 70.17 | | lamp | 69.98 | 82.4 | | bathtub | 86.72 | 89.88 | | railing | 42.25 | 61.77 | | cushion | 64.17 | 78.76 | | base | 35.63 | 44.93 | | box | 39.38 | 48.98 | | column | 49.61 | 60.21 | | signboard | 39.85 | 55.04 | | chest of drawers | 48.07 | 82.57 | | counter | 43.03 | 52.86 | | sand | 59.8 | 87.52 | | sink | 78.9 | 86.24 | | skyscraper | 39.84 | 51.88 | | fireplace | 72.05 | 90.74 | | refrigerator | 85.88 | 93.02 | | grandstand | 59.27 | 81.71 | | path | 32.72 | 41.07 | | stairs | 30.73 | 36.19 | | runway | 73.66 | 95.75 | | case | 58.75 | 81.54 | | pool table | 94.1 | 97.58 | | pillow | 61.52 | 72.09 | | screen door | 64.52 | 66.0 | | stairway | 42.59 | 63.81 | | river | 10.32 | 19.09 | | bridge | 75.24 | 85.28 | | bookcase | 38.56 | 56.94 | | blind | 44.02 | 54.3 | | coffee table | 64.26 | 87.5 | | toilet | 89.2 | 91.7 | | flower | 40.78 | 51.1 | | book | 52.01 | 74.14 | | hill | 14.87 | 21.05 | | bench | 50.37 | 57.13 | | countertop | 64.76 | 75.98 | | stove | 84.5 | 88.58 | | palm | 48.26 | 77.75 | | kitchen island | 49.96 | 80.77 | | computer | 77.7 | 88.5 | | swivel chair | 39.95 | 62.22 | | boat | 50.92 | 63.47 | | bar | 64.71 | 85.12 | | arcade machine | 74.29 | 76.6 | | hovel | 38.71 | 42.05 | | bus | 92.29 | 96.53 | | towel | 75.67 | 82.86 | | light | 50.12 | 59.61 | | truck | 50.22 | 58.46 | | tower | 15.81 | 24.19 | | chandelier | 69.34 | 83.86 | | awning | 36.46 | 45.05 | | streetlight | 28.95 | 39.47 | | booth | 49.16 | 63.18 | | television receiver | 73.75 | 86.31 | | airplane | 73.27 | 78.18 | | dirt track | 10.12 | 38.97 | | apparel | 55.73 | 79.45 | | pole | 18.67 | 29.61 | | land | 3.67 | 5.18 | | bannister | 17.08 | 21.59 | | escalator | 61.01 | 74.8 | | ottoman | 49.15 | 65.01 | | bottle | 41.84 | 69.24 | | buffet | 58.79 | 68.96 | | poster | 37.08 | 50.68 | | stage | 20.2 | 37.03 | | van | 44.69 | 56.97 | | ship | 56.83 | 77.56 | | fountain | 33.57 | 33.67 | | conveyer belt | 83.52 | 92.56 | | canopy | 43.87 | 58.0 | | washer | 79.53 | 84.22 | | plaything | 33.21 | 50.85 | | swimming pool | 58.83 | 71.4 | | stool | 52.6 | 63.85 | | barrel | 49.85 | 70.5 | | basket | 42.14 | 55.37 | | waterfall | 51.88 | 60.97 | | tent | 96.22 | 98.16 | | bag | 21.9 | 24.08 | | minibike | 72.56 | 85.13 | | cradle | 81.99 | 97.7 | | oven | 63.02 | 79.71 | | ball | 59.0 | 68.72 | | food | 63.69 | 76.76 | | step | 11.1 | 12.69 | | tank | 59.8 | 66.23 | | trade name | 28.43 | 33.28 | | microwave | 89.66 | 94.75 | | pot | 57.99 | 66.49 | | animal | 66.08 | 68.1 | | bicycle | 58.81 | 74.61 | | lake | 54.9 | 63.76 | | dishwasher | 76.33 | 82.9 | | screen | 61.28 | 89.67 | | blanket | 25.38 | 28.58 | | sculpture | 73.47 | 80.85 | | hood | 60.44 | 70.93 | | sconce | 54.26 | 64.7 | | vase | 46.93 | 63.26 | | traffic light | 35.87 | 47.67 | | tray | 20.35 | 24.7 | | ashcan | 50.06 | 61.2 | | fan | 64.31 | 79.25 | | pier | 37.97 | 44.21 | | crt screen | 2.25 | 5.33 | | plate | 60.32 | 74.07 | | monitor | 20.67 | 23.77 | | bulletin board | 52.13 | 68.97 | | shower | 11.9 | 16.8 | | radiator | 61.84 | 74.38 | | glass | 19.34 | 20.91 | | clock | 47.02 | 57.59 | | flag | 68.08 | 75.08 | +---------------------+-------+-------+ 2023-11-02 16:45:05,186 - mmseg - INFO - Summary: 2023-11-02 16:45:05,187 - mmseg - INFO - +-------+-------+------+ | aAcc | mIoU | mAcc | +-------+-------+------+ | 85.52 | 55.69 | 67.7 | +-------+-------+------+ 2023-11-02 16:45:05,187 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 16:45:05,188 - mmseg - INFO - Iter(val) [250] aAcc: 0.8552, mIoU: 0.5569, mAcc: 0.6770, IoU.wall: 0.8050, IoU.building: 0.8415, IoU.sky: 0.9441, IoU.floor: 0.8429, IoU.tree: 0.7598, IoU.ceiling: 0.8609, IoU.road: 0.8633, IoU.bed : 0.9182, IoU.windowpane: 0.6623, IoU.grass: 0.6869, IoU.cabinet: 0.6584, IoU.sidewalk: 0.7017, IoU.person: 0.8340, IoU.earth: 0.4227, IoU.door: 0.5904, IoU.table: 0.6981, IoU.mountain: 0.6008, IoU.plant: 0.5499, IoU.curtain: 0.7706, IoU.chair: 0.6272, IoU.car: 0.8635, IoU.water: 0.6135, IoU.painting: 0.7860, IoU.sofa: 0.8193, IoU.shelf: 0.4514, IoU.house: 0.5556, IoU.sea: 0.6842, IoU.mirror: 0.7584, IoU.rug: 0.6474, IoU.field: 0.3067, IoU.armchair: 0.6225, IoU.seat: 0.6302, IoU.fence: 0.5078, IoU.desk: 0.5841, IoU.rock: 0.5304, IoU.wardrobe: 0.5218, IoU.lamp: 0.6998, IoU.bathtub: 0.8672, IoU.railing: 0.4225, IoU.cushion: 0.6417, IoU.base: 0.3563, IoU.box: 0.3938, IoU.column: 0.4961, IoU.signboard: 0.3985, IoU.chest of drawers: 0.4807, IoU.counter: 0.4303, IoU.sand: 0.5980, IoU.sink: 0.7890, IoU.skyscraper: 0.3984, IoU.fireplace: 0.7205, IoU.refrigerator: 0.8588, IoU.grandstand: 0.5927, IoU.path: 0.3272, IoU.stairs: 0.3073, IoU.runway: 0.7366, IoU.case: 0.5875, IoU.pool table: 0.9410, IoU.pillow: 0.6152, IoU.screen door: 0.6452, IoU.stairway: 0.4259, IoU.river: 0.1032, IoU.bridge: 0.7524, IoU.bookcase: 0.3856, IoU.blind: 0.4402, IoU.coffee table: 0.6426, IoU.toilet: 0.8920, IoU.flower: 0.4078, IoU.book: 0.5201, IoU.hill: 0.1487, IoU.bench: 0.5037, IoU.countertop: 0.6476, IoU.stove: 0.8450, IoU.palm: 0.4826, IoU.kitchen island: 0.4996, IoU.computer: 0.7770, IoU.swivel chair: 0.3995, IoU.boat: 0.5092, IoU.bar: 0.6471, IoU.arcade machine: 0.7429, IoU.hovel: 0.3871, IoU.bus: 0.9229, IoU.towel: 0.7567, IoU.light: 0.5012, IoU.truck: 0.5022, IoU.tower: 0.1581, IoU.chandelier: 0.6934, IoU.awning: 0.3646, IoU.streetlight: 0.2895, IoU.booth: 0.4916, IoU.television receiver: 0.7375, IoU.airplane: 0.7327, IoU.dirt track: 0.1012, IoU.apparel: 0.5573, IoU.pole: 0.1867, IoU.land: 0.0367, IoU.bannister: 0.1708, IoU.escalator: 0.6101, IoU.ottoman: 0.4915, IoU.bottle: 0.4184, IoU.buffet: 0.5879, IoU.poster: 0.3708, IoU.stage: 0.2020, IoU.van: 0.4469, IoU.ship: 0.5683, IoU.fountain: 0.3357, IoU.conveyer belt: 0.8352, IoU.canopy: 0.4387, IoU.washer: 0.7953, IoU.plaything: 0.3321, IoU.swimming pool: 0.5883, IoU.stool: 0.5260, IoU.barrel: 0.4985, IoU.basket: 0.4214, IoU.waterfall: 0.5188, IoU.tent: 0.9622, IoU.bag: 0.2190, IoU.minibike: 0.7256, IoU.cradle: 0.8199, IoU.oven: 0.6302, IoU.ball: 0.5900, IoU.food: 0.6369, IoU.step: 0.1110, IoU.tank: 0.5980, IoU.trade name: 0.2843, IoU.microwave: 0.8966, IoU.pot: 0.5799, IoU.animal: 0.6608, IoU.bicycle: 0.5881, IoU.lake: 0.5490, IoU.dishwasher: 0.7633, IoU.screen: 0.6128, IoU.blanket: 0.2538, IoU.sculpture: 0.7347, IoU.hood: 0.6044, IoU.sconce: 0.5426, IoU.vase: 0.4693, IoU.traffic light: 0.3587, IoU.tray: 0.2035, IoU.ashcan: 0.5006, IoU.fan: 0.6431, IoU.pier: 0.3797, IoU.crt screen: 0.0225, IoU.plate: 0.6032, IoU.monitor: 0.2067, IoU.bulletin board: 0.5213, IoU.shower: 0.1190, IoU.radiator: 0.6184, IoU.glass: 0.1934, IoU.clock: 0.4702, IoU.flag: 0.6808, Acc.wall: 0.8904, Acc.building: 0.9291, Acc.sky: 0.9675, Acc.floor: 0.9152, Acc.tree: 0.9118, Acc.ceiling: 0.9297, Acc.road: 0.9059, Acc.bed : 0.9710, Acc.windowpane: 0.7843, Acc.grass: 0.8568, Acc.cabinet: 0.7562, Acc.sidewalk: 0.8591, Acc.person: 0.9303, Acc.earth: 0.5334, Acc.door: 0.7948, Acc.table: 0.8144, Acc.mountain: 0.7484, Acc.plant: 0.6698, Acc.curtain: 0.9018, Acc.chair: 0.7720, Acc.car: 0.9416, Acc.water: 0.7763, Acc.painting: 0.9051, Acc.sofa: 0.8991, Acc.shelf: 0.5544, Acc.house: 0.7258, Acc.sea: 0.8169, Acc.mirror: 0.8549, Acc.rug: 0.7375, Acc.field: 0.4904, Acc.armchair: 0.7752, Acc.seat: 0.8842, Acc.fence: 0.6695, Acc.desk: 0.8039, Acc.rock: 0.7630, Acc.wardrobe: 0.7017, Acc.lamp: 0.8240, Acc.bathtub: 0.8988, Acc.railing: 0.6177, Acc.cushion: 0.7876, Acc.base: 0.4493, Acc.box: 0.4898, Acc.column: 0.6021, Acc.signboard: 0.5504, Acc.chest of drawers: 0.8257, Acc.counter: 0.5286, Acc.sand: 0.8752, Acc.sink: 0.8624, Acc.skyscraper: 0.5188, Acc.fireplace: 0.9074, Acc.refrigerator: 0.9302, Acc.grandstand: 0.8171, Acc.path: 0.4107, Acc.stairs: 0.3619, Acc.runway: 0.9575, Acc.case: 0.8154, Acc.pool table: 0.9758, Acc.pillow: 0.7209, Acc.screen door: 0.6600, Acc.stairway: 0.6381, Acc.river: 0.1909, Acc.bridge: 0.8528, Acc.bookcase: 0.5694, Acc.blind: 0.5430, Acc.coffee table: 0.8750, Acc.toilet: 0.9170, Acc.flower: 0.5110, Acc.book: 0.7414, Acc.hill: 0.2105, Acc.bench: 0.5713, Acc.countertop: 0.7598, Acc.stove: 0.8858, Acc.palm: 0.7775, Acc.kitchen island: 0.8077, Acc.computer: 0.8850, Acc.swivel chair: 0.6222, Acc.boat: 0.6347, Acc.bar: 0.8512, Acc.arcade machine: 0.7660, Acc.hovel: 0.4205, Acc.bus: 0.9653, Acc.towel: 0.8286, Acc.light: 0.5961, Acc.truck: 0.5846, Acc.tower: 0.2419, Acc.chandelier: 0.8386, Acc.awning: 0.4505, Acc.streetlight: 0.3947, Acc.booth: 0.6318, Acc.television receiver: 0.8631, Acc.airplane: 0.7818, Acc.dirt track: 0.3897, Acc.apparel: 0.7945, Acc.pole: 0.2961, Acc.land: 0.0518, Acc.bannister: 0.2159, Acc.escalator: 0.7480, Acc.ottoman: 0.6501, Acc.bottle: 0.6924, Acc.buffet: 0.6896, Acc.poster: 0.5068, Acc.stage: 0.3703, Acc.van: 0.5697, Acc.ship: 0.7756, Acc.fountain: 0.3367, Acc.conveyer belt: 0.9256, Acc.canopy: 0.5800, Acc.washer: 0.8422, Acc.plaything: 0.5085, Acc.swimming pool: 0.7140, Acc.stool: 0.6385, Acc.barrel: 0.7050, Acc.basket: 0.5537, Acc.waterfall: 0.6097, Acc.tent: 0.9816, Acc.bag: 0.2408, Acc.minibike: 0.8513, Acc.cradle: 0.9770, Acc.oven: 0.7971, Acc.ball: 0.6872, Acc.food: 0.7676, Acc.step: 0.1269, Acc.tank: 0.6623, Acc.trade name: 0.3328, Acc.microwave: 0.9475, Acc.pot: 0.6649, Acc.animal: 0.6810, Acc.bicycle: 0.7461, Acc.lake: 0.6376, Acc.dishwasher: 0.8290, Acc.screen: 0.8967, Acc.blanket: 0.2858, Acc.sculpture: 0.8085, Acc.hood: 0.7093, Acc.sconce: 0.6470, Acc.vase: 0.6326, Acc.traffic light: 0.4767, Acc.tray: 0.2470, Acc.ashcan: 0.6120, Acc.fan: 0.7925, Acc.pier: 0.4421, Acc.crt screen: 0.0533, Acc.plate: 0.7407, Acc.monitor: 0.2377, Acc.bulletin board: 0.6897, Acc.shower: 0.1680, Acc.radiator: 0.7438, Acc.glass: 0.2091, Acc.clock: 0.5759, Acc.flag: 0.7508 2023-11-02 16:46:06,053 - mmseg - INFO - Iter [40050/80000] lr: 1.618e-06, eta: 14:47:27, time: 2.431, data_time: 1.221, memory: 38534, decode.loss_ce: 0.1891, decode.acc_seg: 91.9792, loss: 0.1891 2023-11-02 16:47:06,808 - mmseg - INFO - Iter [40100/80000] lr: 1.616e-06, eta: 14:46:14, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1923, decode.acc_seg: 91.9501, loss: 0.1923 2023-11-02 16:48:07,572 - mmseg - INFO - Iter [40150/80000] lr: 1.614e-06, eta: 14:45:02, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1886, decode.acc_seg: 92.1445, loss: 0.1886 2023-11-02 16:49:08,324 - mmseg - INFO - Iter [40200/80000] lr: 1.612e-06, eta: 14:43:50, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1855, decode.acc_seg: 92.1457, loss: 0.1855 2023-11-02 16:50:09,100 - mmseg - INFO - Iter [40250/80000] lr: 1.610e-06, eta: 14:42:37, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1956, decode.acc_seg: 91.8961, loss: 0.1956 2023-11-02 16:51:09,875 - mmseg - INFO - Iter [40300/80000] lr: 1.608e-06, eta: 14:41:25, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1865, decode.acc_seg: 92.1638, loss: 0.1865 2023-11-02 16:52:10,644 - mmseg - INFO - Iter [40350/80000] lr: 1.606e-06, eta: 14:40:12, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1932, decode.acc_seg: 91.8941, loss: 0.1932 2023-11-02 16:53:11,409 - mmseg - INFO - Iter [40400/80000] lr: 1.604e-06, eta: 14:39:00, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1897, decode.acc_seg: 92.1460, loss: 0.1897 2023-11-02 16:54:15,610 - mmseg - INFO - Iter [40450/80000] lr: 1.602e-06, eta: 14:37:51, time: 1.284, data_time: 0.075, memory: 38534, decode.loss_ce: 0.1952, decode.acc_seg: 92.0538, loss: 0.1952 2023-11-02 16:55:16,342 - mmseg - INFO - Iter [40500/80000] lr: 1.600e-06, eta: 14:36:39, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1812, decode.acc_seg: 92.4308, loss: 0.1812 2023-11-02 16:56:17,150 - mmseg - INFO - Iter [40550/80000] lr: 1.598e-06, eta: 14:35:27, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1840, decode.acc_seg: 92.3233, loss: 0.1840 2023-11-02 16:57:17,937 - mmseg - INFO - Iter [40600/80000] lr: 1.596e-06, eta: 14:34:15, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1957, decode.acc_seg: 91.7097, loss: 0.1957 2023-11-02 16:58:18,759 - mmseg - INFO - Iter [40650/80000] lr: 1.594e-06, eta: 14:33:02, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1846, decode.acc_seg: 92.0880, loss: 0.1846 2023-11-02 16:59:19,545 - mmseg - INFO - Iter [40700/80000] lr: 1.592e-06, eta: 14:31:50, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1967, decode.acc_seg: 91.8771, loss: 0.1967 2023-11-02 17:00:20,155 - mmseg - INFO - Iter [40750/80000] lr: 1.590e-06, eta: 14:30:38, time: 1.212, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1941, decode.acc_seg: 91.8676, loss: 0.1941 2023-11-02 17:01:20,772 - mmseg - INFO - Iter [40800/80000] lr: 1.588e-06, eta: 14:29:26, time: 1.212, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1881, decode.acc_seg: 92.0471, loss: 0.1881 2023-11-02 17:02:21,407 - mmseg - INFO - Iter [40850/80000] lr: 1.586e-06, eta: 14:28:14, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1878, decode.acc_seg: 92.1576, loss: 0.1878 2023-11-02 17:03:22,043 - mmseg - INFO - Iter [40900/80000] lr: 1.583e-06, eta: 14:27:01, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1734, decode.acc_seg: 92.8320, loss: 0.1734 2023-11-02 17:04:22,687 - mmseg - INFO - Iter [40950/80000] lr: 1.581e-06, eta: 14:25:49, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1930, decode.acc_seg: 91.8370, loss: 0.1930 2023-11-02 17:05:23,513 - mmseg - INFO - Saving checkpoint at 41000 iterations 2023-11-02 17:06:17,600 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 17:06:17,600 - mmseg - INFO - Iter [41000/80000] lr: 1.579e-06, eta: 14:25:29, time: 2.298, data_time: 0.011, memory: 38534, decode.loss_ce: 0.1866, decode.acc_seg: 92.0466, loss: 0.1866 2023-11-02 17:07:18,437 - mmseg - INFO - per class results: 2023-11-02 17:07:18,442 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 80.83 | 89.73 | | building | 84.38 | 93.83 | | sky | 94.46 | 97.41 | | floor | 83.66 | 92.13 | | tree | 76.09 | 86.83 | | ceiling | 85.66 | 92.46 | | road | 86.3 | 92.43 | | bed | 91.69 | 97.13 | | windowpane | 66.08 | 79.8 | | grass | 68.03 | 77.96 | | cabinet | 65.96 | 77.36 | | sidewalk | 69.56 | 83.17 | | person | 83.2 | 92.46 | | earth | 39.24 | 56.92 | | door | 60.63 | 77.44 | | table | 69.6 | 82.31 | | mountain | 58.97 | 71.69 | | plant | 57.15 | 68.73 | | curtain | 77.08 | 88.14 | | chair | 61.27 | 70.14 | | car | 86.63 | 91.97 | | water | 58.86 | 72.61 | | painting | 77.6 | 89.64 | | sofa | 79.38 | 92.71 | | shelf | 46.72 | 63.59 | | house | 49.77 | 65.91 | | sea | 71.37 | 90.25 | | mirror | 76.18 | 85.13 | | rug | 65.16 | 73.75 | | field | 28.99 | 47.3 | | armchair | 60.59 | 73.08 | | seat | 63.62 | 86.81 | | fence | 53.98 | 70.93 | | desk | 57.24 | 78.81 | | rock | 53.43 | 78.85 | | wardrobe | 54.4 | 74.44 | | lamp | 70.35 | 81.26 | | bathtub | 87.72 | 91.89 | | railing | 43.21 | 61.51 | | cushion | 64.5 | 80.12 | | base | 35.97 | 50.34 | | box | 38.95 | 47.95 | | column | 49.41 | 58.99 | | signboard | 39.59 | 51.83 | | chest of drawers | 45.26 | 57.62 | | counter | 37.55 | 49.46 | | sand | 59.47 | 83.57 | | sink | 78.14 | 86.39 | | skyscraper | 48.99 | 65.81 | | fireplace | 69.23 | 94.48 | | refrigerator | 85.22 | 93.39 | | grandstand | 48.91 | 84.99 | | path | 33.2 | 43.31 | | stairs | 26.37 | 32.49 | | runway | 71.53 | 91.19 | | case | 59.68 | 80.57 | | pool table | 93.75 | 97.97 | | pillow | 57.16 | 64.32 | | screen door | 69.05 | 70.68 | | stairway | 47.87 | 65.15 | | river | 14.25 | 26.41 | | bridge | 76.53 | 85.22 | | bookcase | 39.53 | 61.04 | | blind | 39.73 | 45.74 | | coffee table | 62.24 | 86.91 | | toilet | 88.51 | 93.4 | | flower | 40.22 | 56.22 | | book | 49.67 | 64.49 | | hill | 8.73 | 11.4 | | bench | 51.97 | 60.52 | | countertop | 64.81 | 81.37 | | stove | 86.21 | 92.81 | | palm | 51.5 | 75.9 | | kitchen island | 52.98 | 80.88 | | computer | 77.85 | 87.1 | | swivel chair | 43.12 | 67.04 | | boat | 59.15 | 68.48 | | bar | 64.74 | 83.33 | | arcade machine | 73.66 | 76.36 | | hovel | 34.86 | 39.06 | | bus | 93.17 | 96.04 | | towel | 75.48 | 81.78 | | light | 49.84 | 60.92 | | truck | 51.2 | 66.19 | | tower | 28.09 | 44.24 | | chandelier | 69.77 | 86.25 | | awning | 34.15 | 42.88 | | streetlight | 27.0 | 35.18 | | booth | 48.62 | 53.17 | | television receiver | 74.18 | 89.75 | | airplane | 71.84 | 76.23 | | dirt track | 10.46 | 17.17 | | apparel | 53.84 | 71.46 | | pole | 17.3 | 28.85 | | land | 6.7 | 10.13 | | bannister | 15.89 | 19.98 | | escalator | 66.59 | 81.48 | | ottoman | 53.11 | 72.09 | | bottle | 41.54 | 65.79 | | buffet | 64.42 | 76.91 | | poster | 37.57 | 49.18 | | stage | 18.59 | 30.63 | | van | 48.49 | 68.47 | | ship | 54.19 | 71.28 | | fountain | 42.26 | 42.93 | | conveyer belt | 79.49 | 94.54 | | canopy | 48.41 | 62.98 | | washer | 85.47 | 90.63 | | plaything | 33.64 | 46.92 | | swimming pool | 52.57 | 72.08 | | stool | 50.19 | 67.21 | | barrel | 47.54 | 73.42 | | basket | 41.9 | 56.38 | | waterfall | 53.14 | 59.16 | | tent | 95.54 | 98.52 | | bag | 17.81 | 18.87 | | minibike | 73.04 | 87.04 | | cradle | 81.79 | 97.99 | | oven | 66.66 | 79.68 | | ball | 60.52 | 73.17 | | food | 61.28 | 70.85 | | step | 13.85 | 15.59 | | tank | 60.11 | 65.54 | | trade name | 21.55 | 23.22 | | microwave | 90.39 | 94.11 | | pot | 56.12 | 62.7 | | animal | 68.66 | 71.97 | | bicycle | 60.31 | 82.49 | | lake | 57.7 | 68.98 | | dishwasher | 76.54 | 81.57 | | screen | 62.01 | 88.98 | | blanket | 30.53 | 35.53 | | sculpture | 67.4 | 78.78 | | hood | 61.93 | 74.48 | | sconce | 55.64 | 66.15 | | vase | 47.19 | 60.97 | | traffic light | 36.38 | 55.4 | | tray | 20.69 | 25.21 | | ashcan | 50.74 | 62.12 | | fan | 64.22 | 77.41 | | pier | 38.51 | 43.52 | | crt screen | 7.0 | 13.69 | | plate | 58.99 | 75.92 | | monitor | 36.34 | 43.14 | | bulletin board | 58.42 | 66.06 | | shower | 17.26 | 19.18 | | radiator | 64.77 | 75.94 | | glass | 17.94 | 19.04 | | clock | 47.72 | 58.68 | | flag | 67.14 | 73.12 | +---------------------+-------+-------+ 2023-11-02 17:07:18,442 - mmseg - INFO - Summary: 2023-11-02 17:07:18,442 - mmseg - INFO - +-------+-------+------+ | aAcc | mIoU | mAcc | +-------+-------+------+ | 85.46 | 56.03 | 68.0 | +-------+-------+------+ 2023-11-02 17:07:18,443 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 17:07:18,443 - mmseg - INFO - Iter(val) [250] aAcc: 0.8546, mIoU: 0.5603, mAcc: 0.6800, IoU.wall: 0.8083, IoU.building: 0.8438, IoU.sky: 0.9446, IoU.floor: 0.8366, IoU.tree: 0.7609, IoU.ceiling: 0.8566, IoU.road: 0.8630, IoU.bed : 0.9169, IoU.windowpane: 0.6608, IoU.grass: 0.6803, IoU.cabinet: 0.6596, IoU.sidewalk: 0.6956, IoU.person: 0.8320, IoU.earth: 0.3924, IoU.door: 0.6063, IoU.table: 0.6960, IoU.mountain: 0.5897, IoU.plant: 0.5715, IoU.curtain: 0.7708, IoU.chair: 0.6127, IoU.car: 0.8663, IoU.water: 0.5886, IoU.painting: 0.7760, IoU.sofa: 0.7938, IoU.shelf: 0.4672, IoU.house: 0.4977, IoU.sea: 0.7137, IoU.mirror: 0.7618, IoU.rug: 0.6516, IoU.field: 0.2899, IoU.armchair: 0.6059, IoU.seat: 0.6362, IoU.fence: 0.5398, IoU.desk: 0.5724, IoU.rock: 0.5343, IoU.wardrobe: 0.5440, IoU.lamp: 0.7035, IoU.bathtub: 0.8772, IoU.railing: 0.4321, IoU.cushion: 0.6450, IoU.base: 0.3597, IoU.box: 0.3895, IoU.column: 0.4941, IoU.signboard: 0.3959, IoU.chest of drawers: 0.4526, IoU.counter: 0.3755, IoU.sand: 0.5947, IoU.sink: 0.7814, IoU.skyscraper: 0.4899, IoU.fireplace: 0.6923, IoU.refrigerator: 0.8522, IoU.grandstand: 0.4891, IoU.path: 0.3320, IoU.stairs: 0.2637, IoU.runway: 0.7153, IoU.case: 0.5968, IoU.pool table: 0.9375, IoU.pillow: 0.5716, IoU.screen door: 0.6905, IoU.stairway: 0.4787, IoU.river: 0.1425, IoU.bridge: 0.7653, IoU.bookcase: 0.3953, IoU.blind: 0.3973, IoU.coffee table: 0.6224, IoU.toilet: 0.8851, IoU.flower: 0.4022, IoU.book: 0.4967, IoU.hill: 0.0873, IoU.bench: 0.5197, IoU.countertop: 0.6481, IoU.stove: 0.8621, IoU.palm: 0.5150, IoU.kitchen island: 0.5298, IoU.computer: 0.7785, IoU.swivel chair: 0.4312, IoU.boat: 0.5915, IoU.bar: 0.6474, IoU.arcade machine: 0.7366, IoU.hovel: 0.3486, IoU.bus: 0.9317, IoU.towel: 0.7548, IoU.light: 0.4984, IoU.truck: 0.5120, IoU.tower: 0.2809, IoU.chandelier: 0.6977, IoU.awning: 0.3415, IoU.streetlight: 0.2700, IoU.booth: 0.4862, IoU.television receiver: 0.7418, IoU.airplane: 0.7184, IoU.dirt track: 0.1046, IoU.apparel: 0.5384, IoU.pole: 0.1730, IoU.land: 0.0670, IoU.bannister: 0.1589, IoU.escalator: 0.6659, IoU.ottoman: 0.5311, IoU.bottle: 0.4154, IoU.buffet: 0.6442, IoU.poster: 0.3757, IoU.stage: 0.1859, IoU.van: 0.4849, IoU.ship: 0.5419, IoU.fountain: 0.4226, IoU.conveyer belt: 0.7949, IoU.canopy: 0.4841, IoU.washer: 0.8547, IoU.plaything: 0.3364, IoU.swimming pool: 0.5257, IoU.stool: 0.5019, IoU.barrel: 0.4754, IoU.basket: 0.4190, IoU.waterfall: 0.5314, IoU.tent: 0.9554, IoU.bag: 0.1781, IoU.minibike: 0.7304, IoU.cradle: 0.8179, IoU.oven: 0.6666, IoU.ball: 0.6052, IoU.food: 0.6128, IoU.step: 0.1385, IoU.tank: 0.6011, IoU.trade name: 0.2155, IoU.microwave: 0.9039, IoU.pot: 0.5612, IoU.animal: 0.6866, IoU.bicycle: 0.6031, IoU.lake: 0.5770, IoU.dishwasher: 0.7654, IoU.screen: 0.6201, IoU.blanket: 0.3053, IoU.sculpture: 0.6740, IoU.hood: 0.6193, IoU.sconce: 0.5564, IoU.vase: 0.4719, IoU.traffic light: 0.3638, IoU.tray: 0.2069, IoU.ashcan: 0.5074, IoU.fan: 0.6422, IoU.pier: 0.3851, IoU.crt screen: 0.0700, IoU.plate: 0.5899, IoU.monitor: 0.3634, IoU.bulletin board: 0.5842, IoU.shower: 0.1726, IoU.radiator: 0.6477, IoU.glass: 0.1794, IoU.clock: 0.4772, IoU.flag: 0.6714, Acc.wall: 0.8973, Acc.building: 0.9383, Acc.sky: 0.9741, Acc.floor: 0.9213, Acc.tree: 0.8683, Acc.ceiling: 0.9246, Acc.road: 0.9243, Acc.bed : 0.9713, Acc.windowpane: 0.7980, Acc.grass: 0.7796, Acc.cabinet: 0.7736, Acc.sidewalk: 0.8317, Acc.person: 0.9246, Acc.earth: 0.5692, Acc.door: 0.7744, Acc.table: 0.8231, Acc.mountain: 0.7169, Acc.plant: 0.6873, Acc.curtain: 0.8814, Acc.chair: 0.7014, Acc.car: 0.9197, Acc.water: 0.7261, Acc.painting: 0.8964, Acc.sofa: 0.9271, Acc.shelf: 0.6359, Acc.house: 0.6591, Acc.sea: 0.9025, Acc.mirror: 0.8513, Acc.rug: 0.7375, Acc.field: 0.4730, Acc.armchair: 0.7308, Acc.seat: 0.8681, Acc.fence: 0.7093, Acc.desk: 0.7881, Acc.rock: 0.7885, Acc.wardrobe: 0.7444, Acc.lamp: 0.8126, Acc.bathtub: 0.9189, Acc.railing: 0.6151, Acc.cushion: 0.8012, Acc.base: 0.5034, Acc.box: 0.4795, Acc.column: 0.5899, Acc.signboard: 0.5183, Acc.chest of drawers: 0.5762, Acc.counter: 0.4946, Acc.sand: 0.8357, Acc.sink: 0.8639, Acc.skyscraper: 0.6581, Acc.fireplace: 0.9448, Acc.refrigerator: 0.9339, Acc.grandstand: 0.8499, Acc.path: 0.4331, Acc.stairs: 0.3249, Acc.runway: 0.9119, Acc.case: 0.8057, Acc.pool table: 0.9797, Acc.pillow: 0.6432, Acc.screen door: 0.7068, Acc.stairway: 0.6515, Acc.river: 0.2641, Acc.bridge: 0.8522, Acc.bookcase: 0.6104, Acc.blind: 0.4574, Acc.coffee table: 0.8691, Acc.toilet: 0.9340, Acc.flower: 0.5622, Acc.book: 0.6449, Acc.hill: 0.1140, Acc.bench: 0.6052, Acc.countertop: 0.8137, Acc.stove: 0.9281, Acc.palm: 0.7590, Acc.kitchen island: 0.8088, Acc.computer: 0.8710, Acc.swivel chair: 0.6704, Acc.boat: 0.6848, Acc.bar: 0.8333, Acc.arcade machine: 0.7636, Acc.hovel: 0.3906, Acc.bus: 0.9604, Acc.towel: 0.8178, Acc.light: 0.6092, Acc.truck: 0.6619, Acc.tower: 0.4424, Acc.chandelier: 0.8625, Acc.awning: 0.4288, Acc.streetlight: 0.3518, Acc.booth: 0.5317, Acc.television receiver: 0.8975, Acc.airplane: 0.7623, Acc.dirt track: 0.1717, Acc.apparel: 0.7146, Acc.pole: 0.2885, Acc.land: 0.1013, Acc.bannister: 0.1998, Acc.escalator: 0.8148, Acc.ottoman: 0.7209, Acc.bottle: 0.6579, Acc.buffet: 0.7691, Acc.poster: 0.4918, Acc.stage: 0.3063, Acc.van: 0.6847, Acc.ship: 0.7128, Acc.fountain: 0.4293, Acc.conveyer belt: 0.9454, Acc.canopy: 0.6298, Acc.washer: 0.9063, Acc.plaything: 0.4692, Acc.swimming pool: 0.7208, Acc.stool: 0.6721, Acc.barrel: 0.7342, Acc.basket: 0.5638, Acc.waterfall: 0.5916, Acc.tent: 0.9852, Acc.bag: 0.1887, Acc.minibike: 0.8704, Acc.cradle: 0.9799, Acc.oven: 0.7968, Acc.ball: 0.7317, Acc.food: 0.7085, Acc.step: 0.1559, Acc.tank: 0.6554, Acc.trade name: 0.2322, Acc.microwave: 0.9411, Acc.pot: 0.6270, Acc.animal: 0.7197, Acc.bicycle: 0.8249, Acc.lake: 0.6898, Acc.dishwasher: 0.8157, Acc.screen: 0.8898, Acc.blanket: 0.3553, Acc.sculpture: 0.7878, Acc.hood: 0.7448, Acc.sconce: 0.6615, Acc.vase: 0.6097, Acc.traffic light: 0.5540, Acc.tray: 0.2521, Acc.ashcan: 0.6212, Acc.fan: 0.7741, Acc.pier: 0.4352, Acc.crt screen: 0.1369, Acc.plate: 0.7592, Acc.monitor: 0.4314, Acc.bulletin board: 0.6606, Acc.shower: 0.1918, Acc.radiator: 0.7594, Acc.glass: 0.1904, Acc.clock: 0.5868, Acc.flag: 0.7312 2023-11-02 17:08:19,188 - mmseg - INFO - Iter [41050/80000] lr: 1.577e-06, eta: 14:25:14, time: 2.432, data_time: 1.224, memory: 38534, decode.loss_ce: 0.1963, decode.acc_seg: 91.7422, loss: 0.1963 2023-11-02 17:09:19,945 - mmseg - INFO - Iter [41100/80000] lr: 1.575e-06, eta: 14:24:02, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1881, decode.acc_seg: 92.0603, loss: 0.1881 2023-11-02 17:10:20,722 - mmseg - INFO - Iter [41150/80000] lr: 1.573e-06, eta: 14:22:50, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1817, decode.acc_seg: 92.2571, loss: 0.1817 2023-11-02 17:11:21,462 - mmseg - INFO - Iter [41200/80000] lr: 1.571e-06, eta: 14:21:38, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1983, decode.acc_seg: 91.8421, loss: 0.1983 2023-11-02 17:12:22,235 - mmseg - INFO - Iter [41250/80000] lr: 1.569e-06, eta: 14:20:26, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1707, decode.acc_seg: 92.8493, loss: 0.1707 2023-11-02 17:13:22,978 - mmseg - INFO - Iter [41300/80000] lr: 1.567e-06, eta: 14:19:14, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1805, decode.acc_seg: 92.2491, loss: 0.1805 2023-11-02 17:14:23,738 - mmseg - INFO - Iter [41350/80000] lr: 1.565e-06, eta: 14:18:02, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1771, decode.acc_seg: 92.8224, loss: 0.1771 2023-11-02 17:15:24,529 - mmseg - INFO - Iter [41400/80000] lr: 1.563e-06, eta: 14:16:50, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1862, decode.acc_seg: 92.1940, loss: 0.1862 2023-11-02 17:16:25,287 - mmseg - INFO - Iter [41450/80000] lr: 1.561e-06, eta: 14:15:37, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1986, decode.acc_seg: 91.8760, loss: 0.1986 2023-11-02 17:17:26,094 - mmseg - INFO - Iter [41500/80000] lr: 1.559e-06, eta: 14:14:26, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1849, decode.acc_seg: 92.2311, loss: 0.1849 2023-11-02 17:18:26,866 - mmseg - INFO - Iter [41550/80000] lr: 1.557e-06, eta: 14:13:14, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1985, decode.acc_seg: 91.6661, loss: 0.1985 2023-11-02 17:19:27,668 - mmseg - INFO - Iter [41600/80000] lr: 1.555e-06, eta: 14:12:02, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1736, decode.acc_seg: 92.5995, loss: 0.1736 2023-11-02 17:20:28,297 - mmseg - INFO - Iter [41650/80000] lr: 1.553e-06, eta: 14:10:50, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1943, decode.acc_seg: 91.8680, loss: 0.1943 2023-11-02 17:21:31,328 - mmseg - INFO - Iter [41700/80000] lr: 1.551e-06, eta: 14:09:40, time: 1.261, data_time: 0.055, memory: 38534, decode.loss_ce: 0.1943, decode.acc_seg: 91.7949, loss: 0.1943 2023-11-02 17:22:31,922 - mmseg - INFO - Iter [41750/80000] lr: 1.549e-06, eta: 14:08:28, time: 1.212, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1790, decode.acc_seg: 92.3859, loss: 0.1790 2023-11-02 17:23:32,547 - mmseg - INFO - Iter [41800/80000] lr: 1.547e-06, eta: 14:07:16, time: 1.212, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1938, decode.acc_seg: 91.9005, loss: 0.1938 2023-11-02 17:24:33,189 - mmseg - INFO - Iter [41850/80000] lr: 1.545e-06, eta: 14:06:04, time: 1.213, data_time: 0.008, memory: 38534, decode.loss_ce: 0.1931, decode.acc_seg: 91.8488, loss: 0.1931 2023-11-02 17:25:33,886 - mmseg - INFO - Iter [41900/80000] lr: 1.543e-06, eta: 14:04:52, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1935, decode.acc_seg: 91.9762, loss: 0.1935 2023-11-02 17:26:34,620 - mmseg - INFO - Iter [41950/80000] lr: 1.541e-06, eta: 14:03:40, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1858, decode.acc_seg: 92.2890, loss: 0.1858 2023-11-02 17:27:35,306 - mmseg - INFO - Saving checkpoint at 42000 iterations 2023-11-02 17:28:30,432 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 17:28:30,433 - mmseg - INFO - Iter [42000/80000] lr: 1.539e-06, eta: 14:03:18, time: 2.316, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1915, decode.acc_seg: 91.9362, loss: 0.1915 2023-11-02 17:29:31,228 - mmseg - INFO - per class results: 2023-11-02 17:29:31,233 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 81.01 | 89.09 | | building | 85.55 | 93.17 | | sky | 94.42 | 97.23 | | floor | 83.84 | 91.75 | | tree | 76.62 | 90.45 | | ceiling | 86.26 | 94.06 | | road | 86.28 | 90.35 | | bed | 91.84 | 96.92 | | windowpane | 66.37 | 81.51 | | grass | 65.89 | 78.27 | | cabinet | 65.45 | 73.57 | | sidewalk | 69.71 | 84.27 | | person | 83.29 | 94.08 | | earth | 40.49 | 53.14 | | door | 60.78 | 76.75 | | table | 69.15 | 83.07 | | mountain | 61.02 | 73.13 | | plant | 55.09 | 68.87 | | curtain | 76.98 | 88.62 | | chair | 63.04 | 74.46 | | car | 86.67 | 93.87 | | water | 60.77 | 76.98 | | painting | 79.21 | 91.37 | | sofa | 79.34 | 87.76 | | shelf | 46.59 | 60.57 | | house | 58.1 | 74.65 | | sea | 71.97 | 85.9 | | mirror | 74.71 | 82.45 | | rug | 64.82 | 75.82 | | field | 30.09 | 56.66 | | armchair | 61.42 | 82.91 | | seat | 63.94 | 86.63 | | fence | 49.34 | 66.9 | | desk | 55.71 | 78.65 | | rock | 57.19 | 83.94 | | wardrobe | 52.75 | 70.39 | | lamp | 70.21 | 83.15 | | bathtub | 86.13 | 88.65 | | railing | 43.07 | 58.78 | | cushion | 63.41 | 76.92 | | base | 39.22 | 53.27 | | box | 37.66 | 46.45 | | column | 49.61 | 57.92 | | signboard | 39.43 | 57.62 | | chest of drawers | 47.11 | 70.15 | | counter | 34.64 | 45.57 | | sand | 59.32 | 85.99 | | sink | 76.57 | 86.85 | | skyscraper | 49.7 | 65.77 | | fireplace | 72.55 | 93.97 | | refrigerator | 84.7 | 94.61 | | grandstand | 59.59 | 79.34 | | path | 30.49 | 43.32 | | stairs | 43.08 | 56.55 | | runway | 73.68 | 95.1 | | case | 55.68 | 81.68 | | pool table | 94.13 | 97.73 | | pillow | 58.51 | 66.68 | | screen door | 69.32 | 70.96 | | stairway | 51.32 | 61.02 | | river | 14.44 | 26.31 | | bridge | 69.57 | 87.55 | | bookcase | 38.4 | 52.18 | | blind | 41.61 | 49.13 | | coffee table | 65.77 | 84.66 | | toilet | 88.95 | 92.67 | | flower | 42.57 | 63.85 | | book | 51.34 | 76.19 | | hill | 16.19 | 21.79 | | bench | 56.05 | 63.65 | | countertop | 65.54 | 81.82 | | stove | 85.21 | 92.14 | | palm | 53.28 | 78.37 | | kitchen island | 49.78 | 85.61 | | computer | 77.31 | 88.29 | | swivel chair | 44.08 | 65.51 | | boat | 76.34 | 85.16 | | bar | 62.3 | 86.44 | | arcade machine | 53.29 | 54.83 | | hovel | 32.68 | 35.31 | | bus | 92.96 | 95.93 | | towel | 76.34 | 87.16 | | light | 48.69 | 61.73 | | truck | 50.18 | 60.31 | | tower | 25.48 | 34.66 | | chandelier | 70.5 | 83.85 | | awning | 33.87 | 43.6 | | streetlight | 29.6 | 43.65 | | booth | 58.85 | 69.58 | | television receiver | 70.66 | 88.45 | | airplane | 73.06 | 78.13 | | dirt track | 7.38 | 27.44 | | apparel | 51.38 | 69.83 | | pole | 20.04 | 28.18 | | land | 5.81 | 8.0 | | bannister | 17.54 | 25.29 | | escalator | 66.05 | 83.44 | | ottoman | 54.4 | 72.66 | | bottle | 43.5 | 62.9 | | buffet | 62.68 | 78.0 | | poster | 36.7 | 49.66 | | stage | 17.7 | 38.0 | | van | 47.2 | 62.31 | | ship | 49.66 | 54.67 | | fountain | 42.41 | 42.85 | | conveyer belt | 81.81 | 94.14 | | canopy | 62.04 | 77.55 | | washer | 82.15 | 86.92 | | plaything | 34.33 | 48.72 | | swimming pool | 50.76 | 74.37 | | stool | 49.29 | 69.19 | | barrel | 52.55 | 68.75 | | basket | 44.73 | 58.46 | | waterfall | 52.59 | 60.13 | | tent | 95.97 | 98.31 | | bag | 22.39 | 24.77 | | minibike | 73.94 | 84.59 | | cradle | 81.65 | 98.59 | | oven | 62.81 | 74.64 | | ball | 58.35 | 66.03 | | food | 64.26 | 73.98 | | step | 12.22 | 14.53 | | tank | 59.54 | 64.85 | | trade name | 14.98 | 15.55 | | microwave | 90.01 | 95.34 | | pot | 58.49 | 66.5 | | animal | 71.47 | 74.77 | | bicycle | 60.71 | 81.33 | | lake | 53.26 | 63.98 | | dishwasher | 71.72 | 83.87 | | screen | 61.37 | 92.07 | | blanket | 24.05 | 27.61 | | sculpture | 72.16 | 85.01 | | hood | 60.89 | 74.01 | | sconce | 55.77 | 70.43 | | vase | 46.96 | 60.97 | | traffic light | 37.09 | 56.98 | | tray | 17.2 | 22.84 | | ashcan | 50.33 | 63.69 | | fan | 64.97 | 82.3 | | pier | 34.77 | 46.42 | | crt screen | 6.95 | 16.38 | | plate | 60.02 | 76.02 | | monitor | 20.31 | 24.1 | | bulletin board | 58.84 | 67.3 | | shower | 10.02 | 14.54 | | radiator | 65.14 | 79.49 | | glass | 18.95 | 20.08 | | clock | 45.85 | 59.86 | | flag | 65.46 | 71.62 | +---------------------+-------+-------+ 2023-11-02 17:29:31,233 - mmseg - INFO - Summary: 2023-11-02 17:29:31,233 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 85.65 | 56.14 | 68.66 | +-------+-------+-------+ 2023-11-02 17:29:31,234 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 17:29:31,234 - mmseg - INFO - Iter(val) [250] aAcc: 0.8565, mIoU: 0.5614, mAcc: 0.6866, IoU.wall: 0.8101, IoU.building: 0.8555, IoU.sky: 0.9442, IoU.floor: 0.8384, IoU.tree: 0.7662, IoU.ceiling: 0.8626, IoU.road: 0.8628, IoU.bed : 0.9184, IoU.windowpane: 0.6637, IoU.grass: 0.6589, IoU.cabinet: 0.6545, IoU.sidewalk: 0.6971, IoU.person: 0.8329, IoU.earth: 0.4049, IoU.door: 0.6078, IoU.table: 0.6915, IoU.mountain: 0.6102, IoU.plant: 0.5509, IoU.curtain: 0.7698, IoU.chair: 0.6304, IoU.car: 0.8667, IoU.water: 0.6077, IoU.painting: 0.7921, IoU.sofa: 0.7934, IoU.shelf: 0.4659, IoU.house: 0.5810, IoU.sea: 0.7197, IoU.mirror: 0.7471, IoU.rug: 0.6482, IoU.field: 0.3009, IoU.armchair: 0.6142, IoU.seat: 0.6394, IoU.fence: 0.4934, IoU.desk: 0.5571, IoU.rock: 0.5719, IoU.wardrobe: 0.5275, IoU.lamp: 0.7021, IoU.bathtub: 0.8613, IoU.railing: 0.4307, IoU.cushion: 0.6341, IoU.base: 0.3922, IoU.box: 0.3766, IoU.column: 0.4961, IoU.signboard: 0.3943, IoU.chest of drawers: 0.4711, IoU.counter: 0.3464, IoU.sand: 0.5932, IoU.sink: 0.7657, IoU.skyscraper: 0.4970, IoU.fireplace: 0.7255, IoU.refrigerator: 0.8470, IoU.grandstand: 0.5959, IoU.path: 0.3049, IoU.stairs: 0.4308, IoU.runway: 0.7368, IoU.case: 0.5568, IoU.pool table: 0.9413, IoU.pillow: 0.5851, IoU.screen door: 0.6932, IoU.stairway: 0.5132, IoU.river: 0.1444, IoU.bridge: 0.6957, IoU.bookcase: 0.3840, IoU.blind: 0.4161, IoU.coffee table: 0.6577, IoU.toilet: 0.8895, IoU.flower: 0.4257, IoU.book: 0.5134, IoU.hill: 0.1619, IoU.bench: 0.5605, IoU.countertop: 0.6554, IoU.stove: 0.8521, IoU.palm: 0.5328, IoU.kitchen island: 0.4978, IoU.computer: 0.7731, IoU.swivel chair: 0.4408, IoU.boat: 0.7634, IoU.bar: 0.6230, IoU.arcade machine: 0.5329, IoU.hovel: 0.3268, IoU.bus: 0.9296, IoU.towel: 0.7634, IoU.light: 0.4869, IoU.truck: 0.5018, IoU.tower: 0.2548, IoU.chandelier: 0.7050, IoU.awning: 0.3387, IoU.streetlight: 0.2960, IoU.booth: 0.5885, IoU.television receiver: 0.7066, IoU.airplane: 0.7306, IoU.dirt track: 0.0738, IoU.apparel: 0.5138, IoU.pole: 0.2004, IoU.land: 0.0581, IoU.bannister: 0.1754, IoU.escalator: 0.6605, IoU.ottoman: 0.5440, IoU.bottle: 0.4350, IoU.buffet: 0.6268, IoU.poster: 0.3670, IoU.stage: 0.1770, IoU.van: 0.4720, IoU.ship: 0.4966, IoU.fountain: 0.4241, IoU.conveyer belt: 0.8181, IoU.canopy: 0.6204, IoU.washer: 0.8215, IoU.plaything: 0.3433, IoU.swimming pool: 0.5076, IoU.stool: 0.4929, IoU.barrel: 0.5255, IoU.basket: 0.4473, IoU.waterfall: 0.5259, IoU.tent: 0.9597, IoU.bag: 0.2239, IoU.minibike: 0.7394, IoU.cradle: 0.8165, IoU.oven: 0.6281, IoU.ball: 0.5835, IoU.food: 0.6426, IoU.step: 0.1222, IoU.tank: 0.5954, IoU.trade name: 0.1498, IoU.microwave: 0.9001, IoU.pot: 0.5849, IoU.animal: 0.7147, IoU.bicycle: 0.6071, IoU.lake: 0.5326, IoU.dishwasher: 0.7172, IoU.screen: 0.6137, IoU.blanket: 0.2405, IoU.sculpture: 0.7216, IoU.hood: 0.6089, IoU.sconce: 0.5577, IoU.vase: 0.4696, IoU.traffic light: 0.3709, IoU.tray: 0.1720, IoU.ashcan: 0.5033, IoU.fan: 0.6497, IoU.pier: 0.3477, IoU.crt screen: 0.0695, IoU.plate: 0.6002, IoU.monitor: 0.2031, IoU.bulletin board: 0.5884, IoU.shower: 0.1002, IoU.radiator: 0.6514, IoU.glass: 0.1895, IoU.clock: 0.4585, IoU.flag: 0.6546, Acc.wall: 0.8909, Acc.building: 0.9317, Acc.sky: 0.9723, Acc.floor: 0.9175, Acc.tree: 0.9045, Acc.ceiling: 0.9406, Acc.road: 0.9035, Acc.bed : 0.9692, Acc.windowpane: 0.8151, Acc.grass: 0.7827, Acc.cabinet: 0.7357, Acc.sidewalk: 0.8427, Acc.person: 0.9408, Acc.earth: 0.5314, Acc.door: 0.7675, Acc.table: 0.8307, Acc.mountain: 0.7313, Acc.plant: 0.6887, Acc.curtain: 0.8862, Acc.chair: 0.7446, Acc.car: 0.9387, Acc.water: 0.7698, Acc.painting: 0.9137, Acc.sofa: 0.8776, Acc.shelf: 0.6057, Acc.house: 0.7465, Acc.sea: 0.8590, Acc.mirror: 0.8245, Acc.rug: 0.7582, Acc.field: 0.5666, Acc.armchair: 0.8291, Acc.seat: 0.8663, Acc.fence: 0.6690, Acc.desk: 0.7865, Acc.rock: 0.8394, Acc.wardrobe: 0.7039, Acc.lamp: 0.8315, Acc.bathtub: 0.8865, Acc.railing: 0.5878, Acc.cushion: 0.7692, Acc.base: 0.5327, Acc.box: 0.4645, Acc.column: 0.5792, Acc.signboard: 0.5762, Acc.chest of drawers: 0.7015, Acc.counter: 0.4557, Acc.sand: 0.8599, Acc.sink: 0.8685, Acc.skyscraper: 0.6577, Acc.fireplace: 0.9397, Acc.refrigerator: 0.9461, Acc.grandstand: 0.7934, Acc.path: 0.4332, Acc.stairs: 0.5655, Acc.runway: 0.9510, Acc.case: 0.8168, Acc.pool table: 0.9773, Acc.pillow: 0.6668, Acc.screen door: 0.7096, Acc.stairway: 0.6102, Acc.river: 0.2631, Acc.bridge: 0.8755, Acc.bookcase: 0.5218, Acc.blind: 0.4913, Acc.coffee table: 0.8466, Acc.toilet: 0.9267, Acc.flower: 0.6385, Acc.book: 0.7619, Acc.hill: 0.2179, Acc.bench: 0.6365, Acc.countertop: 0.8182, Acc.stove: 0.9214, Acc.palm: 0.7837, Acc.kitchen island: 0.8561, Acc.computer: 0.8829, Acc.swivel chair: 0.6551, Acc.boat: 0.8516, Acc.bar: 0.8644, Acc.arcade machine: 0.5483, Acc.hovel: 0.3531, Acc.bus: 0.9593, Acc.towel: 0.8716, Acc.light: 0.6173, Acc.truck: 0.6031, Acc.tower: 0.3466, Acc.chandelier: 0.8385, Acc.awning: 0.4360, Acc.streetlight: 0.4365, Acc.booth: 0.6958, Acc.television receiver: 0.8845, Acc.airplane: 0.7813, Acc.dirt track: 0.2744, Acc.apparel: 0.6983, Acc.pole: 0.2818, Acc.land: 0.0800, Acc.bannister: 0.2529, Acc.escalator: 0.8344, Acc.ottoman: 0.7266, Acc.bottle: 0.6290, Acc.buffet: 0.7800, Acc.poster: 0.4966, Acc.stage: 0.3800, Acc.van: 0.6231, Acc.ship: 0.5467, Acc.fountain: 0.4285, Acc.conveyer belt: 0.9414, Acc.canopy: 0.7755, Acc.washer: 0.8692, Acc.plaything: 0.4872, Acc.swimming pool: 0.7437, Acc.stool: 0.6919, Acc.barrel: 0.6875, Acc.basket: 0.5846, Acc.waterfall: 0.6013, Acc.tent: 0.9831, Acc.bag: 0.2477, Acc.minibike: 0.8459, Acc.cradle: 0.9859, Acc.oven: 0.7464, Acc.ball: 0.6603, Acc.food: 0.7398, Acc.step: 0.1453, Acc.tank: 0.6485, Acc.trade name: 0.1555, Acc.microwave: 0.9534, Acc.pot: 0.6650, Acc.animal: 0.7477, Acc.bicycle: 0.8133, Acc.lake: 0.6398, Acc.dishwasher: 0.8387, Acc.screen: 0.9207, Acc.blanket: 0.2761, Acc.sculpture: 0.8501, Acc.hood: 0.7401, Acc.sconce: 0.7043, Acc.vase: 0.6097, Acc.traffic light: 0.5698, Acc.tray: 0.2284, Acc.ashcan: 0.6369, Acc.fan: 0.8230, Acc.pier: 0.4642, Acc.crt screen: 0.1638, Acc.plate: 0.7602, Acc.monitor: 0.2410, Acc.bulletin board: 0.6730, Acc.shower: 0.1454, Acc.radiator: 0.7949, Acc.glass: 0.2008, Acc.clock: 0.5986, Acc.flag: 0.7162 2023-11-02 17:30:32,068 - mmseg - INFO - Iter [42050/80000] lr: 1.537e-06, eta: 14:03:02, time: 2.433, data_time: 1.223, memory: 38534, decode.loss_ce: 0.1930, decode.acc_seg: 91.8490, loss: 0.1930 2023-11-02 17:31:32,795 - mmseg - INFO - Iter [42100/80000] lr: 1.535e-06, eta: 14:01:50, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1950, decode.acc_seg: 91.6803, loss: 0.1950 2023-11-02 17:32:33,546 - mmseg - INFO - Iter [42150/80000] lr: 1.533e-06, eta: 14:00:38, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.2013, decode.acc_seg: 91.6292, loss: 0.2013 2023-11-02 17:33:34,307 - mmseg - INFO - Iter [42200/80000] lr: 1.531e-06, eta: 13:59:26, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1872, decode.acc_seg: 92.1727, loss: 0.1872 2023-11-02 17:34:35,090 - mmseg - INFO - Iter [42250/80000] lr: 1.529e-06, eta: 13:58:14, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1793, decode.acc_seg: 92.5211, loss: 0.1793 2023-11-02 17:35:35,834 - mmseg - INFO - Iter [42300/80000] lr: 1.527e-06, eta: 13:57:02, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1891, decode.acc_seg: 92.1520, loss: 0.1891 2023-11-02 17:36:36,591 - mmseg - INFO - Iter [42350/80000] lr: 1.525e-06, eta: 13:55:50, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1872, decode.acc_seg: 92.1505, loss: 0.1872 2023-11-02 17:37:37,360 - mmseg - INFO - Iter [42400/80000] lr: 1.523e-06, eta: 13:54:38, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1861, decode.acc_seg: 92.2524, loss: 0.1861 2023-11-02 17:38:38,158 - mmseg - INFO - Iter [42450/80000] lr: 1.521e-06, eta: 13:53:27, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1760, decode.acc_seg: 92.6552, loss: 0.1760 2023-11-02 17:39:38,882 - mmseg - INFO - Iter [42500/80000] lr: 1.519e-06, eta: 13:52:15, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1783, decode.acc_seg: 92.5363, loss: 0.1783 2023-11-02 17:40:39,547 - mmseg - INFO - Iter [42550/80000] lr: 1.517e-06, eta: 13:51:03, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1892, decode.acc_seg: 91.9141, loss: 0.1892 2023-11-02 17:41:40,218 - mmseg - INFO - Iter [42600/80000] lr: 1.515e-06, eta: 13:49:51, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1828, decode.acc_seg: 92.1837, loss: 0.1828 2023-11-02 17:42:40,903 - mmseg - INFO - Iter [42650/80000] lr: 1.513e-06, eta: 13:48:40, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1824, decode.acc_seg: 92.4826, loss: 0.1824 2023-11-02 17:43:41,565 - mmseg - INFO - Iter [42700/80000] lr: 1.511e-06, eta: 13:47:28, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1900, decode.acc_seg: 91.8591, loss: 0.1900 2023-11-02 17:44:42,211 - mmseg - INFO - Iter [42750/80000] lr: 1.509e-06, eta: 13:46:16, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1836, decode.acc_seg: 92.3031, loss: 0.1836 2023-11-02 17:45:42,928 - mmseg - INFO - Iter [42800/80000] lr: 1.507e-06, eta: 13:45:05, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1833, decode.acc_seg: 92.3152, loss: 0.1833 2023-11-02 17:46:43,695 - mmseg - INFO - Iter [42850/80000] lr: 1.505e-06, eta: 13:43:53, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1818, decode.acc_seg: 92.2865, loss: 0.1818 2023-11-02 17:47:44,454 - mmseg - INFO - Iter [42900/80000] lr: 1.502e-06, eta: 13:42:42, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1886, decode.acc_seg: 92.0117, loss: 0.1886 2023-11-02 17:48:47,611 - mmseg - INFO - Iter [42950/80000] lr: 1.500e-06, eta: 13:41:32, time: 1.263, data_time: 0.054, memory: 38534, decode.loss_ce: 0.1851, decode.acc_seg: 92.0943, loss: 0.1851 2023-11-02 17:49:48,342 - mmseg - INFO - Saving checkpoint at 43000 iterations 2023-11-02 17:50:41,102 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 17:50:41,102 - mmseg - INFO - Iter [43000/80000] lr: 1.498e-06, eta: 13:41:06, time: 2.270, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1896, decode.acc_seg: 92.0826, loss: 0.1896 2023-11-02 17:51:39,749 - mmseg - INFO - per class results: 2023-11-02 17:51:39,754 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 80.77 | 88.54 | | building | 84.29 | 93.12 | | sky | 94.62 | 97.29 | | floor | 84.36 | 92.38 | | tree | 76.19 | 89.86 | | ceiling | 86.21 | 94.22 | | road | 85.24 | 91.03 | | bed | 91.98 | 97.15 | | windowpane | 65.58 | 83.14 | | grass | 67.18 | 78.7 | | cabinet | 65.96 | 75.18 | | sidewalk | 69.98 | 84.26 | | person | 83.32 | 93.1 | | earth | 39.68 | 55.63 | | door | 60.59 | 76.21 | | table | 70.32 | 81.45 | | mountain | 62.36 | 76.45 | | plant | 54.21 | 68.14 | | curtain | 76.73 | 87.44 | | chair | 61.88 | 73.27 | | car | 86.3 | 93.74 | | water | 61.18 | 76.88 | | painting | 78.66 | 89.84 | | sofa | 78.56 | 83.98 | | shelf | 48.51 | 64.23 | | house | 53.31 | 72.75 | | sea | 69.72 | 81.2 | | mirror | 77.52 | 86.39 | | rug | 65.12 | 75.11 | | field | 29.94 | 44.89 | | armchair | 60.97 | 80.47 | | seat | 64.01 | 87.11 | | fence | 52.19 | 69.24 | | desk | 58.94 | 77.54 | | rock | 56.91 | 85.23 | | wardrobe | 53.83 | 74.63 | | lamp | 70.97 | 82.25 | | bathtub | 87.26 | 90.1 | | railing | 42.09 | 62.12 | | cushion | 64.84 | 79.81 | | base | 39.31 | 49.54 | | box | 38.76 | 47.97 | | column | 51.6 | 62.89 | | signboard | 38.59 | 51.03 | | chest of drawers | 49.19 | 74.45 | | counter | 41.38 | 53.12 | | sand | 56.9 | 86.0 | | sink | 79.15 | 86.81 | | skyscraper | 49.29 | 64.4 | | fireplace | 74.18 | 93.17 | | refrigerator | 85.04 | 94.12 | | grandstand | 48.76 | 82.44 | | path | 27.02 | 35.15 | | stairs | 30.63 | 37.33 | | runway | 72.42 | 92.59 | | case | 62.31 | 82.78 | | pool table | 94.27 | 96.89 | | pillow | 61.71 | 71.96 | | screen door | 82.71 | 85.86 | | stairway | 46.49 | 57.87 | | river | 10.35 | 22.25 | | bridge | 73.69 | 84.39 | | bookcase | 39.13 | 55.56 | | blind | 42.52 | 48.17 | | coffee table | 65.94 | 85.14 | | toilet | 89.49 | 92.19 | | flower | 41.9 | 55.7 | | book | 53.29 | 76.32 | | hill | 8.14 | 10.14 | | bench | 53.95 | 60.47 | | countertop | 66.22 | 79.81 | | stove | 84.58 | 92.03 | | palm | 52.49 | 76.11 | | kitchen island | 57.39 | 77.24 | | computer | 77.81 | 89.09 | | swivel chair | 41.41 | 67.64 | | boat | 65.35 | 71.21 | | bar | 62.25 | 90.53 | | arcade machine | 64.5 | 66.81 | | hovel | 29.67 | 32.08 | | bus | 93.0 | 96.62 | | towel | 75.94 | 89.39 | | light | 45.72 | 51.41 | | truck | 50.11 | 64.22 | | tower | 30.01 | 50.99 | | chandelier | 70.49 | 85.08 | | awning | 34.46 | 42.47 | | streetlight | 28.8 | 38.08 | | booth | 58.36 | 64.84 | | television receiver | 72.84 | 88.41 | | airplane | 83.77 | 91.27 | | dirt track | 8.46 | 28.13 | | apparel | 49.14 | 70.08 | | pole | 23.92 | 33.61 | | land | 3.22 | 4.34 | | bannister | 14.36 | 17.79 | | escalator | 67.3 | 83.29 | | ottoman | 57.07 | 79.46 | | bottle | 42.86 | 64.26 | | buffet | 54.38 | 63.28 | | poster | 34.98 | 53.58 | | stage | 13.68 | 21.96 | | van | 53.93 | 71.16 | | ship | 55.78 | 68.74 | | fountain | 32.12 | 32.32 | | conveyer belt | 84.02 | 92.7 | | canopy | 49.36 | 67.91 | | washer | 84.32 | 89.13 | | plaything | 34.58 | 46.63 | | swimming pool | 51.78 | 71.87 | | stool | 50.1 | 63.9 | | barrel | 51.53 | 70.69 | | basket | 43.19 | 56.39 | | waterfall | 53.86 | 59.53 | | tent | 96.09 | 98.47 | | bag | 26.18 | 31.4 | | minibike | 73.12 | 84.32 | | cradle | 84.2 | 97.62 | | oven | 64.15 | 78.15 | | ball | 46.48 | 50.02 | | food | 61.64 | 73.58 | | step | 10.95 | 12.31 | | tank | 63.07 | 66.12 | | trade name | 23.94 | 26.01 | | microwave | 90.25 | 95.34 | | pot | 58.47 | 66.32 | | animal | 68.96 | 70.73 | | bicycle | 60.64 | 76.54 | | lake | 53.14 | 64.22 | | dishwasher | 77.08 | 81.46 | | screen | 61.19 | 88.06 | | blanket | 28.76 | 33.7 | | sculpture | 74.21 | 87.39 | | hood | 63.99 | 78.89 | | sconce | 54.82 | 67.3 | | vase | 47.45 | 61.25 | | traffic light | 36.52 | 51.55 | | tray | 20.32 | 29.2 | | ashcan | 52.41 | 64.44 | | fan | 60.65 | 69.33 | | pier | 38.71 | 43.93 | | crt screen | 6.68 | 13.03 | | plate | 59.96 | 77.02 | | monitor | 34.5 | 41.15 | | bulletin board | 55.11 | 65.67 | | shower | 10.31 | 11.09 | | radiator | 64.54 | 75.63 | | glass | 18.86 | 19.92 | | clock | 47.99 | 60.61 | | flag | 66.7 | 71.68 | +---------------------+-------+-------+ 2023-11-02 17:51:39,754 - mmseg - INFO - Summary: 2023-11-02 17:51:39,754 - mmseg - INFO - +-------+-------+------+ | aAcc | mIoU | mAcc | +-------+-------+------+ | 85.58 | 56.34 | 68.2 | +-------+-------+------+ 2023-11-02 17:51:39,755 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 17:51:39,755 - mmseg - INFO - Iter(val) [250] aAcc: 0.8558, mIoU: 0.5634, mAcc: 0.6820, IoU.wall: 0.8077, IoU.building: 0.8429, IoU.sky: 0.9462, IoU.floor: 0.8436, IoU.tree: 0.7619, IoU.ceiling: 0.8621, IoU.road: 0.8524, IoU.bed : 0.9198, IoU.windowpane: 0.6558, IoU.grass: 0.6718, IoU.cabinet: 0.6596, IoU.sidewalk: 0.6998, IoU.person: 0.8332, IoU.earth: 0.3968, IoU.door: 0.6059, IoU.table: 0.7032, IoU.mountain: 0.6236, IoU.plant: 0.5421, IoU.curtain: 0.7673, IoU.chair: 0.6188, IoU.car: 0.8630, IoU.water: 0.6118, IoU.painting: 0.7866, IoU.sofa: 0.7856, IoU.shelf: 0.4851, IoU.house: 0.5331, IoU.sea: 0.6972, IoU.mirror: 0.7752, IoU.rug: 0.6512, IoU.field: 0.2994, IoU.armchair: 0.6097, IoU.seat: 0.6401, IoU.fence: 0.5219, IoU.desk: 0.5894, IoU.rock: 0.5691, IoU.wardrobe: 0.5383, IoU.lamp: 0.7097, IoU.bathtub: 0.8726, IoU.railing: 0.4209, IoU.cushion: 0.6484, IoU.base: 0.3931, IoU.box: 0.3876, IoU.column: 0.5160, IoU.signboard: 0.3859, IoU.chest of drawers: 0.4919, IoU.counter: 0.4138, IoU.sand: 0.5690, IoU.sink: 0.7915, IoU.skyscraper: 0.4929, IoU.fireplace: 0.7418, IoU.refrigerator: 0.8504, IoU.grandstand: 0.4876, IoU.path: 0.2702, IoU.stairs: 0.3063, IoU.runway: 0.7242, IoU.case: 0.6231, IoU.pool table: 0.9427, IoU.pillow: 0.6171, IoU.screen door: 0.8271, IoU.stairway: 0.4649, IoU.river: 0.1035, IoU.bridge: 0.7369, IoU.bookcase: 0.3913, IoU.blind: 0.4252, IoU.coffee table: 0.6594, IoU.toilet: 0.8949, IoU.flower: 0.4190, IoU.book: 0.5329, IoU.hill: 0.0814, IoU.bench: 0.5395, IoU.countertop: 0.6622, IoU.stove: 0.8458, IoU.palm: 0.5249, IoU.kitchen island: 0.5739, IoU.computer: 0.7781, IoU.swivel chair: 0.4141, IoU.boat: 0.6535, IoU.bar: 0.6225, IoU.arcade machine: 0.6450, IoU.hovel: 0.2967, IoU.bus: 0.9300, IoU.towel: 0.7594, IoU.light: 0.4572, IoU.truck: 0.5011, IoU.tower: 0.3001, IoU.chandelier: 0.7049, IoU.awning: 0.3446, IoU.streetlight: 0.2880, IoU.booth: 0.5836, IoU.television receiver: 0.7284, IoU.airplane: 0.8377, IoU.dirt track: 0.0846, IoU.apparel: 0.4914, IoU.pole: 0.2392, IoU.land: 0.0322, IoU.bannister: 0.1436, IoU.escalator: 0.6730, IoU.ottoman: 0.5707, IoU.bottle: 0.4286, IoU.buffet: 0.5438, IoU.poster: 0.3498, IoU.stage: 0.1368, IoU.van: 0.5393, IoU.ship: 0.5578, IoU.fountain: 0.3212, IoU.conveyer belt: 0.8402, IoU.canopy: 0.4936, IoU.washer: 0.8432, IoU.plaything: 0.3458, IoU.swimming pool: 0.5178, IoU.stool: 0.5010, IoU.barrel: 0.5153, IoU.basket: 0.4319, IoU.waterfall: 0.5386, IoU.tent: 0.9609, IoU.bag: 0.2618, IoU.minibike: 0.7312, IoU.cradle: 0.8420, IoU.oven: 0.6415, IoU.ball: 0.4648, IoU.food: 0.6164, IoU.step: 0.1095, IoU.tank: 0.6307, IoU.trade name: 0.2394, IoU.microwave: 0.9025, IoU.pot: 0.5847, IoU.animal: 0.6896, IoU.bicycle: 0.6064, IoU.lake: 0.5314, IoU.dishwasher: 0.7708, IoU.screen: 0.6119, IoU.blanket: 0.2876, IoU.sculpture: 0.7421, IoU.hood: 0.6399, IoU.sconce: 0.5482, IoU.vase: 0.4745, IoU.traffic light: 0.3652, IoU.tray: 0.2032, IoU.ashcan: 0.5241, IoU.fan: 0.6065, IoU.pier: 0.3871, IoU.crt screen: 0.0668, IoU.plate: 0.5996, IoU.monitor: 0.3450, IoU.bulletin board: 0.5511, IoU.shower: 0.1031, IoU.radiator: 0.6454, IoU.glass: 0.1886, IoU.clock: 0.4799, IoU.flag: 0.6670, Acc.wall: 0.8854, Acc.building: 0.9312, Acc.sky: 0.9729, Acc.floor: 0.9238, Acc.tree: 0.8986, Acc.ceiling: 0.9422, Acc.road: 0.9103, Acc.bed : 0.9715, Acc.windowpane: 0.8314, Acc.grass: 0.7870, Acc.cabinet: 0.7518, Acc.sidewalk: 0.8426, Acc.person: 0.9310, Acc.earth: 0.5563, Acc.door: 0.7621, Acc.table: 0.8145, Acc.mountain: 0.7645, Acc.plant: 0.6814, Acc.curtain: 0.8744, Acc.chair: 0.7327, Acc.car: 0.9374, Acc.water: 0.7688, Acc.painting: 0.8984, Acc.sofa: 0.8398, Acc.shelf: 0.6423, Acc.house: 0.7275, Acc.sea: 0.8120, Acc.mirror: 0.8639, Acc.rug: 0.7511, Acc.field: 0.4489, Acc.armchair: 0.8047, Acc.seat: 0.8711, Acc.fence: 0.6924, Acc.desk: 0.7754, Acc.rock: 0.8523, Acc.wardrobe: 0.7463, Acc.lamp: 0.8225, Acc.bathtub: 0.9010, Acc.railing: 0.6212, Acc.cushion: 0.7981, Acc.base: 0.4954, Acc.box: 0.4797, Acc.column: 0.6289, Acc.signboard: 0.5103, Acc.chest of drawers: 0.7445, Acc.counter: 0.5312, Acc.sand: 0.8600, Acc.sink: 0.8681, Acc.skyscraper: 0.6440, Acc.fireplace: 0.9317, Acc.refrigerator: 0.9412, Acc.grandstand: 0.8244, Acc.path: 0.3515, Acc.stairs: 0.3733, Acc.runway: 0.9259, Acc.case: 0.8278, Acc.pool table: 0.9689, Acc.pillow: 0.7196, Acc.screen door: 0.8586, Acc.stairway: 0.5787, Acc.river: 0.2225, Acc.bridge: 0.8439, Acc.bookcase: 0.5556, Acc.blind: 0.4817, Acc.coffee table: 0.8514, Acc.toilet: 0.9219, Acc.flower: 0.5570, Acc.book: 0.7632, Acc.hill: 0.1014, Acc.bench: 0.6047, Acc.countertop: 0.7981, Acc.stove: 0.9203, Acc.palm: 0.7611, Acc.kitchen island: 0.7724, Acc.computer: 0.8909, Acc.swivel chair: 0.6764, Acc.boat: 0.7121, Acc.bar: 0.9053, Acc.arcade machine: 0.6681, Acc.hovel: 0.3208, Acc.bus: 0.9662, Acc.towel: 0.8939, Acc.light: 0.5141, Acc.truck: 0.6422, Acc.tower: 0.5099, Acc.chandelier: 0.8508, Acc.awning: 0.4247, Acc.streetlight: 0.3808, Acc.booth: 0.6484, Acc.television receiver: 0.8841, Acc.airplane: 0.9127, Acc.dirt track: 0.2813, Acc.apparel: 0.7008, Acc.pole: 0.3361, Acc.land: 0.0434, Acc.bannister: 0.1779, Acc.escalator: 0.8329, Acc.ottoman: 0.7946, Acc.bottle: 0.6426, Acc.buffet: 0.6328, Acc.poster: 0.5358, Acc.stage: 0.2196, Acc.van: 0.7116, Acc.ship: 0.6874, Acc.fountain: 0.3232, Acc.conveyer belt: 0.9270, Acc.canopy: 0.6791, Acc.washer: 0.8913, Acc.plaything: 0.4663, Acc.swimming pool: 0.7187, Acc.stool: 0.6390, Acc.barrel: 0.7069, Acc.basket: 0.5639, Acc.waterfall: 0.5953, Acc.tent: 0.9847, Acc.bag: 0.3140, Acc.minibike: 0.8432, Acc.cradle: 0.9762, Acc.oven: 0.7815, Acc.ball: 0.5002, Acc.food: 0.7358, Acc.step: 0.1231, Acc.tank: 0.6612, Acc.trade name: 0.2601, Acc.microwave: 0.9534, Acc.pot: 0.6632, Acc.animal: 0.7073, Acc.bicycle: 0.7654, Acc.lake: 0.6422, Acc.dishwasher: 0.8146, Acc.screen: 0.8806, Acc.blanket: 0.3370, Acc.sculpture: 0.8739, Acc.hood: 0.7889, Acc.sconce: 0.6730, Acc.vase: 0.6125, Acc.traffic light: 0.5155, Acc.tray: 0.2920, Acc.ashcan: 0.6444, Acc.fan: 0.6933, Acc.pier: 0.4393, Acc.crt screen: 0.1303, Acc.plate: 0.7702, Acc.monitor: 0.4115, Acc.bulletin board: 0.6567, Acc.shower: 0.1109, Acc.radiator: 0.7563, Acc.glass: 0.1992, Acc.clock: 0.6061, Acc.flag: 0.7168 2023-11-02 17:52:41,089 - mmseg - INFO - Iter [43050/80000] lr: 1.496e-06, eta: 13:40:45, time: 2.400, data_time: 1.180, memory: 38534, decode.loss_ce: 0.1819, decode.acc_seg: 92.3299, loss: 0.1819 2023-11-02 17:53:41,817 - mmseg - INFO - Iter [43100/80000] lr: 1.494e-06, eta: 13:39:34, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1773, decode.acc_seg: 92.6096, loss: 0.1773 2023-11-02 17:54:42,563 - mmseg - INFO - Iter [43150/80000] lr: 1.492e-06, eta: 13:38:22, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1789, decode.acc_seg: 92.4489, loss: 0.1789 2023-11-02 17:55:43,341 - mmseg - INFO - Iter [43200/80000] lr: 1.490e-06, eta: 13:37:10, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1908, decode.acc_seg: 91.9704, loss: 0.1908 2023-11-02 17:56:44,119 - mmseg - INFO - Iter [43250/80000] lr: 1.488e-06, eta: 13:35:59, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1939, decode.acc_seg: 92.1022, loss: 0.1939 2023-11-02 17:57:44,852 - mmseg - INFO - Iter [43300/80000] lr: 1.486e-06, eta: 13:34:47, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1773, decode.acc_seg: 92.3397, loss: 0.1773 2023-11-02 17:58:45,636 - mmseg - INFO - Iter [43350/80000] lr: 1.484e-06, eta: 13:33:36, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1775, decode.acc_seg: 92.3330, loss: 0.1775 2023-11-02 17:59:46,388 - mmseg - INFO - Iter [43400/80000] lr: 1.482e-06, eta: 13:32:24, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1789, decode.acc_seg: 92.5210, loss: 0.1789 2023-11-02 18:00:47,151 - mmseg - INFO - Iter [43450/80000] lr: 1.480e-06, eta: 13:31:13, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1938, decode.acc_seg: 92.1742, loss: 0.1938 2023-11-02 18:01:47,931 - mmseg - INFO - Iter [43500/80000] lr: 1.478e-06, eta: 13:30:01, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1802, decode.acc_seg: 92.3607, loss: 0.1802 2023-11-02 18:02:48,667 - mmseg - INFO - Iter [43550/80000] lr: 1.476e-06, eta: 13:28:50, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1861, decode.acc_seg: 92.2616, loss: 0.1861 2023-11-02 18:03:49,437 - mmseg - INFO - Iter [43600/80000] lr: 1.474e-06, eta: 13:27:38, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1841, decode.acc_seg: 92.0586, loss: 0.1841 2023-11-02 18:04:50,229 - mmseg - INFO - Iter [43650/80000] lr: 1.472e-06, eta: 13:26:27, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1854, decode.acc_seg: 92.4237, loss: 0.1854 2023-11-02 18:05:51,009 - mmseg - INFO - Iter [43700/80000] lr: 1.470e-06, eta: 13:25:16, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1806, decode.acc_seg: 92.3987, loss: 0.1806 2023-11-02 18:06:51,745 - mmseg - INFO - Iter [43750/80000] lr: 1.468e-06, eta: 13:24:04, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1859, decode.acc_seg: 92.2910, loss: 0.1859 2023-11-02 18:07:52,546 - mmseg - INFO - Iter [43800/80000] lr: 1.466e-06, eta: 13:22:53, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1885, decode.acc_seg: 92.1981, loss: 0.1885 2023-11-02 18:08:53,344 - mmseg - INFO - Iter [43850/80000] lr: 1.464e-06, eta: 13:21:42, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1668, decode.acc_seg: 93.0020, loss: 0.1668 2023-11-02 18:09:54,108 - mmseg - INFO - Iter [43900/80000] lr: 1.462e-06, eta: 13:20:30, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1850, decode.acc_seg: 92.3374, loss: 0.1850 2023-11-02 18:10:54,876 - mmseg - INFO - Iter [43950/80000] lr: 1.460e-06, eta: 13:19:19, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1870, decode.acc_seg: 92.1117, loss: 0.1870 2023-11-02 18:11:55,663 - mmseg - INFO - Saving checkpoint at 44000 iterations 2023-11-02 18:12:48,062 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 18:12:48,062 - mmseg - INFO - Iter [44000/80000] lr: 1.458e-06, eta: 13:18:51, time: 2.264, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1768, decode.acc_seg: 92.4501, loss: 0.1768 2023-11-02 18:13:51,740 - mmseg - INFO - per class results: 2023-11-02 18:13:51,745 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 80.63 | 89.09 | | building | 84.2 | 92.28 | | sky | 94.51 | 97.34 | | floor | 84.15 | 91.48 | | tree | 76.63 | 90.62 | | ceiling | 85.83 | 94.1 | | road | 85.86 | 91.43 | | bed | 91.98 | 97.22 | | windowpane | 65.95 | 82.7 | | grass | 67.49 | 83.56 | | cabinet | 66.14 | 74.75 | | sidewalk | 69.88 | 82.94 | | person | 83.51 | 93.71 | | earth | 38.49 | 49.66 | | door | 61.17 | 77.14 | | table | 69.98 | 82.66 | | mountain | 60.98 | 73.2 | | plant | 54.06 | 67.32 | | curtain | 77.14 | 89.14 | | chair | 62.39 | 73.01 | | car | 86.65 | 93.67 | | water | 59.96 | 75.39 | | painting | 79.45 | 87.51 | | sofa | 79.11 | 86.46 | | shelf | 45.57 | 56.84 | | house | 51.49 | 65.9 | | sea | 71.07 | 91.56 | | mirror | 74.38 | 81.23 | | rug | 66.26 | 78.08 | | field | 27.0 | 45.48 | | armchair | 60.8 | 82.51 | | seat | 65.09 | 87.17 | | fence | 49.32 | 62.59 | | desk | 58.18 | 75.82 | | rock | 55.79 | 84.9 | | wardrobe | 54.44 | 73.56 | | lamp | 70.07 | 83.28 | | bathtub | 86.46 | 89.21 | | railing | 41.52 | 55.98 | | cushion | 65.26 | 79.13 | | base | 41.66 | 55.36 | | box | 38.71 | 48.37 | | column | 48.57 | 59.98 | | signboard | 40.16 | 53.81 | | chest of drawers | 47.13 | 70.69 | | counter | 36.49 | 46.07 | | sand | 58.13 | 86.94 | | sink | 77.44 | 85.7 | | skyscraper | 48.28 | 64.97 | | fireplace | 73.54 | 90.89 | | refrigerator | 85.95 | 95.88 | | grandstand | 49.09 | 85.58 | | path | 30.1 | 43.91 | | stairs | 32.25 | 44.07 | | runway | 71.45 | 91.27 | | case | 55.68 | 83.08 | | pool table | 94.07 | 97.59 | | pillow | 61.37 | 71.93 | | screen door | 81.6 | 83.6 | | stairway | 44.1 | 55.66 | | river | 12.37 | 18.51 | | bridge | 74.94 | 84.5 | | bookcase | 39.83 | 57.16 | | blind | 39.97 | 44.18 | | coffee table | 65.34 | 86.29 | | toilet | 89.4 | 93.64 | | flower | 42.41 | 57.39 | | book | 49.18 | 71.25 | | hill | 14.74 | 21.35 | | bench | 55.3 | 66.19 | | countertop | 64.61 | 83.43 | | stove | 85.27 | 91.89 | | palm | 53.25 | 78.15 | | kitchen island | 50.36 | 83.1 | | computer | 76.34 | 89.36 | | swivel chair | 45.1 | 77.99 | | boat | 72.72 | 81.96 | | bar | 66.76 | 85.69 | | arcade machine | 50.04 | 52.17 | | hovel | 30.06 | 32.18 | | bus | 92.59 | 96.62 | | towel | 75.77 | 91.58 | | light | 48.83 | 59.99 | | truck | 50.04 | 64.11 | | tower | 26.72 | 50.67 | | chandelier | 70.12 | 82.96 | | awning | 33.58 | 42.72 | | streetlight | 29.5 | 40.62 | | booth | 55.85 | 80.77 | | television receiver | 75.41 | 89.45 | | airplane | 71.85 | 78.27 | | dirt track | 13.69 | 16.15 | | apparel | 48.06 | 72.56 | | pole | 23.26 | 32.36 | | land | 3.78 | 5.35 | | bannister | 16.8 | 24.33 | | escalator | 59.23 | 72.78 | | ottoman | 55.14 | 75.54 | | bottle | 41.13 | 71.31 | | buffet | 60.63 | 69.1 | | poster | 36.33 | 44.99 | | stage | 15.47 | 24.5 | | van | 50.96 | 72.66 | | ship | 72.22 | 80.96 | | fountain | 22.25 | 22.31 | | conveyer belt | 83.79 | 93.77 | | canopy | 49.88 | 64.46 | | washer | 84.13 | 89.47 | | plaything | 34.41 | 49.45 | | swimming pool | 50.07 | 74.12 | | stool | 50.3 | 65.11 | | barrel | 63.39 | 78.81 | | basket | 43.0 | 57.5 | | waterfall | 50.35 | 57.61 | | tent | 96.29 | 98.26 | | bag | 26.24 | 30.45 | | minibike | 73.86 | 85.96 | | cradle | 84.6 | 98.02 | | oven | 66.25 | 77.95 | | ball | 61.77 | 75.33 | | food | 62.17 | 74.04 | | step | 11.49 | 13.99 | | tank | 60.05 | 61.19 | | trade name | 33.24 | 41.38 | | microwave | 90.25 | 94.69 | | pot | 59.63 | 69.88 | | animal | 72.79 | 75.6 | | bicycle | 59.68 | 80.35 | | lake | 48.43 | 63.75 | | dishwasher | 69.69 | 83.78 | | screen | 53.57 | 83.69 | | blanket | 30.86 | 35.91 | | sculpture | 72.01 | 87.66 | | hood | 61.92 | 71.77 | | sconce | 55.27 | 69.47 | | vase | 47.88 | 62.55 | | traffic light | 37.53 | 57.48 | | tray | 21.79 | 29.92 | | ashcan | 48.54 | 67.74 | | fan | 63.93 | 77.91 | | pier | 39.01 | 44.59 | | crt screen | 1.42 | 3.32 | | plate | 60.12 | 74.53 | | monitor | 29.63 | 34.76 | | bulletin board | 50.2 | 56.87 | | shower | 12.61 | 15.52 | | radiator | 64.05 | 76.31 | | glass | 20.77 | 22.52 | | clock | 47.4 | 56.31 | | flag | 66.43 | 74.96 | +---------------------+-------+-------+ 2023-11-02 18:13:51,745 - mmseg - INFO - Summary: 2023-11-02 18:13:51,746 - mmseg - INFO - +------+-------+-------+ | aAcc | mIoU | mAcc | +------+-------+-------+ | 85.5 | 56.15 | 68.68 | +------+-------+-------+ 2023-11-02 18:13:51,746 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 18:13:51,746 - mmseg - INFO - Iter(val) [250] aAcc: 0.8550, mIoU: 0.5615, mAcc: 0.6868, IoU.wall: 0.8063, IoU.building: 0.8420, IoU.sky: 0.9451, IoU.floor: 0.8415, IoU.tree: 0.7663, IoU.ceiling: 0.8583, IoU.road: 0.8586, IoU.bed : 0.9198, IoU.windowpane: 0.6595, IoU.grass: 0.6749, IoU.cabinet: 0.6614, IoU.sidewalk: 0.6988, IoU.person: 0.8351, IoU.earth: 0.3849, IoU.door: 0.6117, IoU.table: 0.6998, IoU.mountain: 0.6098, IoU.plant: 0.5406, IoU.curtain: 0.7714, IoU.chair: 0.6239, IoU.car: 0.8665, IoU.water: 0.5996, IoU.painting: 0.7945, IoU.sofa: 0.7911, IoU.shelf: 0.4557, IoU.house: 0.5149, IoU.sea: 0.7107, IoU.mirror: 0.7438, IoU.rug: 0.6626, IoU.field: 0.2700, IoU.armchair: 0.6080, IoU.seat: 0.6509, IoU.fence: 0.4932, IoU.desk: 0.5818, IoU.rock: 0.5579, IoU.wardrobe: 0.5444, IoU.lamp: 0.7007, IoU.bathtub: 0.8646, IoU.railing: 0.4152, IoU.cushion: 0.6526, IoU.base: 0.4166, IoU.box: 0.3871, IoU.column: 0.4857, IoU.signboard: 0.4016, IoU.chest of drawers: 0.4713, IoU.counter: 0.3649, IoU.sand: 0.5813, IoU.sink: 0.7744, IoU.skyscraper: 0.4828, IoU.fireplace: 0.7354, IoU.refrigerator: 0.8595, IoU.grandstand: 0.4909, IoU.path: 0.3010, IoU.stairs: 0.3225, IoU.runway: 0.7145, IoU.case: 0.5568, IoU.pool table: 0.9407, IoU.pillow: 0.6137, IoU.screen door: 0.8160, IoU.stairway: 0.4410, IoU.river: 0.1237, IoU.bridge: 0.7494, IoU.bookcase: 0.3983, IoU.blind: 0.3997, IoU.coffee table: 0.6534, IoU.toilet: 0.8940, IoU.flower: 0.4241, IoU.book: 0.4918, IoU.hill: 0.1474, IoU.bench: 0.5530, IoU.countertop: 0.6461, IoU.stove: 0.8527, IoU.palm: 0.5325, IoU.kitchen island: 0.5036, IoU.computer: 0.7634, IoU.swivel chair: 0.4510, IoU.boat: 0.7272, IoU.bar: 0.6676, IoU.arcade machine: 0.5004, IoU.hovel: 0.3006, IoU.bus: 0.9259, IoU.towel: 0.7577, IoU.light: 0.4883, IoU.truck: 0.5004, IoU.tower: 0.2672, IoU.chandelier: 0.7012, IoU.awning: 0.3358, IoU.streetlight: 0.2950, IoU.booth: 0.5585, IoU.television receiver: 0.7541, IoU.airplane: 0.7185, IoU.dirt track: 0.1369, IoU.apparel: 0.4806, IoU.pole: 0.2326, IoU.land: 0.0378, IoU.bannister: 0.1680, IoU.escalator: 0.5923, IoU.ottoman: 0.5514, IoU.bottle: 0.4113, IoU.buffet: 0.6063, IoU.poster: 0.3633, IoU.stage: 0.1547, IoU.van: 0.5096, IoU.ship: 0.7222, IoU.fountain: 0.2225, IoU.conveyer belt: 0.8379, IoU.canopy: 0.4988, IoU.washer: 0.8413, IoU.plaything: 0.3441, IoU.swimming pool: 0.5007, IoU.stool: 0.5030, IoU.barrel: 0.6339, IoU.basket: 0.4300, IoU.waterfall: 0.5035, IoU.tent: 0.9629, IoU.bag: 0.2624, IoU.minibike: 0.7386, IoU.cradle: 0.8460, IoU.oven: 0.6625, IoU.ball: 0.6177, IoU.food: 0.6217, IoU.step: 0.1149, IoU.tank: 0.6005, IoU.trade name: 0.3324, IoU.microwave: 0.9025, IoU.pot: 0.5963, IoU.animal: 0.7279, IoU.bicycle: 0.5968, IoU.lake: 0.4843, IoU.dishwasher: 0.6969, IoU.screen: 0.5357, IoU.blanket: 0.3086, IoU.sculpture: 0.7201, IoU.hood: 0.6192, IoU.sconce: 0.5527, IoU.vase: 0.4788, IoU.traffic light: 0.3753, IoU.tray: 0.2179, IoU.ashcan: 0.4854, IoU.fan: 0.6393, IoU.pier: 0.3901, IoU.crt screen: 0.0142, IoU.plate: 0.6012, IoU.monitor: 0.2963, IoU.bulletin board: 0.5020, IoU.shower: 0.1261, IoU.radiator: 0.6405, IoU.glass: 0.2077, IoU.clock: 0.4740, IoU.flag: 0.6643, Acc.wall: 0.8909, Acc.building: 0.9228, Acc.sky: 0.9734, Acc.floor: 0.9148, Acc.tree: 0.9062, Acc.ceiling: 0.9410, Acc.road: 0.9143, Acc.bed : 0.9722, Acc.windowpane: 0.8270, Acc.grass: 0.8356, Acc.cabinet: 0.7475, Acc.sidewalk: 0.8294, Acc.person: 0.9371, Acc.earth: 0.4966, Acc.door: 0.7714, Acc.table: 0.8266, Acc.mountain: 0.7320, Acc.plant: 0.6732, Acc.curtain: 0.8914, Acc.chair: 0.7301, Acc.car: 0.9367, Acc.water: 0.7539, Acc.painting: 0.8751, Acc.sofa: 0.8646, Acc.shelf: 0.5684, Acc.house: 0.6590, Acc.sea: 0.9156, Acc.mirror: 0.8123, Acc.rug: 0.7808, Acc.field: 0.4548, Acc.armchair: 0.8251, Acc.seat: 0.8717, Acc.fence: 0.6259, Acc.desk: 0.7582, Acc.rock: 0.8490, Acc.wardrobe: 0.7356, Acc.lamp: 0.8328, Acc.bathtub: 0.8921, Acc.railing: 0.5598, Acc.cushion: 0.7913, Acc.base: 0.5536, Acc.box: 0.4837, Acc.column: 0.5998, Acc.signboard: 0.5381, Acc.chest of drawers: 0.7069, Acc.counter: 0.4607, Acc.sand: 0.8694, Acc.sink: 0.8570, Acc.skyscraper: 0.6497, Acc.fireplace: 0.9089, Acc.refrigerator: 0.9588, Acc.grandstand: 0.8558, Acc.path: 0.4391, Acc.stairs: 0.4407, Acc.runway: 0.9127, Acc.case: 0.8308, Acc.pool table: 0.9759, Acc.pillow: 0.7193, Acc.screen door: 0.8360, Acc.stairway: 0.5566, Acc.river: 0.1851, Acc.bridge: 0.8450, Acc.bookcase: 0.5716, Acc.blind: 0.4418, Acc.coffee table: 0.8629, Acc.toilet: 0.9364, Acc.flower: 0.5739, Acc.book: 0.7125, Acc.hill: 0.2135, Acc.bench: 0.6619, Acc.countertop: 0.8343, Acc.stove: 0.9189, Acc.palm: 0.7815, Acc.kitchen island: 0.8310, Acc.computer: 0.8936, Acc.swivel chair: 0.7799, Acc.boat: 0.8196, Acc.bar: 0.8569, Acc.arcade machine: 0.5217, Acc.hovel: 0.3218, Acc.bus: 0.9662, Acc.towel: 0.9158, Acc.light: 0.5999, Acc.truck: 0.6411, Acc.tower: 0.5067, Acc.chandelier: 0.8296, Acc.awning: 0.4272, Acc.streetlight: 0.4062, Acc.booth: 0.8077, Acc.television receiver: 0.8945, Acc.airplane: 0.7827, Acc.dirt track: 0.1615, Acc.apparel: 0.7256, Acc.pole: 0.3236, Acc.land: 0.0535, Acc.bannister: 0.2433, Acc.escalator: 0.7278, Acc.ottoman: 0.7554, Acc.bottle: 0.7131, Acc.buffet: 0.6910, Acc.poster: 0.4499, Acc.stage: 0.2450, Acc.van: 0.7266, Acc.ship: 0.8096, Acc.fountain: 0.2231, Acc.conveyer belt: 0.9377, Acc.canopy: 0.6446, Acc.washer: 0.8947, Acc.plaything: 0.4945, Acc.swimming pool: 0.7412, Acc.stool: 0.6511, Acc.barrel: 0.7881, Acc.basket: 0.5750, Acc.waterfall: 0.5761, Acc.tent: 0.9826, Acc.bag: 0.3045, Acc.minibike: 0.8596, Acc.cradle: 0.9802, Acc.oven: 0.7795, Acc.ball: 0.7533, Acc.food: 0.7404, Acc.step: 0.1399, Acc.tank: 0.6119, Acc.trade name: 0.4138, Acc.microwave: 0.9469, Acc.pot: 0.6988, Acc.animal: 0.7560, Acc.bicycle: 0.8035, Acc.lake: 0.6375, Acc.dishwasher: 0.8378, Acc.screen: 0.8369, Acc.blanket: 0.3591, Acc.sculpture: 0.8766, Acc.hood: 0.7177, Acc.sconce: 0.6947, Acc.vase: 0.6255, Acc.traffic light: 0.5748, Acc.tray: 0.2992, Acc.ashcan: 0.6774, Acc.fan: 0.7791, Acc.pier: 0.4459, Acc.crt screen: 0.0332, Acc.plate: 0.7453, Acc.monitor: 0.3476, Acc.bulletin board: 0.5687, Acc.shower: 0.1552, Acc.radiator: 0.7631, Acc.glass: 0.2252, Acc.clock: 0.5631, Acc.flag: 0.7496 2023-11-02 18:14:52,526 - mmseg - INFO - Iter [44050/80000] lr: 1.456e-06, eta: 13:18:32, time: 2.489, data_time: 1.281, memory: 38534, decode.loss_ce: 0.1804, decode.acc_seg: 92.4191, loss: 0.1804 2023-11-02 18:15:53,282 - mmseg - INFO - Iter [44100/80000] lr: 1.454e-06, eta: 13:17:20, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1742, decode.acc_seg: 92.3585, loss: 0.1742 2023-11-02 18:16:54,001 - mmseg - INFO - Iter [44150/80000] lr: 1.452e-06, eta: 13:16:09, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1921, decode.acc_seg: 92.2716, loss: 0.1921 2023-11-02 18:17:54,740 - mmseg - INFO - Iter [44200/80000] lr: 1.450e-06, eta: 13:14:57, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1828, decode.acc_seg: 92.2505, loss: 0.1828 2023-11-02 18:18:57,734 - mmseg - INFO - Iter [44250/80000] lr: 1.448e-06, eta: 13:13:48, time: 1.260, data_time: 0.053, memory: 38534, decode.loss_ce: 0.1739, decode.acc_seg: 92.5241, loss: 0.1739 2023-11-02 18:19:58,420 - mmseg - INFO - Iter [44300/80000] lr: 1.446e-06, eta: 13:12:36, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1861, decode.acc_seg: 92.2218, loss: 0.1861 2023-11-02 18:20:59,179 - mmseg - INFO - Iter [44350/80000] lr: 1.444e-06, eta: 13:11:25, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1682, decode.acc_seg: 92.8397, loss: 0.1682 2023-11-02 18:21:59,937 - mmseg - INFO - Iter [44400/80000] lr: 1.442e-06, eta: 13:10:14, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1809, decode.acc_seg: 92.3535, loss: 0.1809 2023-11-02 18:23:00,712 - mmseg - INFO - Iter [44450/80000] lr: 1.440e-06, eta: 13:09:02, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1663, decode.acc_seg: 92.9293, loss: 0.1663 2023-11-02 18:24:01,453 - mmseg - INFO - Iter [44500/80000] lr: 1.438e-06, eta: 13:07:51, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1747, decode.acc_seg: 92.6259, loss: 0.1747 2023-11-02 18:25:02,205 - mmseg - INFO - Iter [44550/80000] lr: 1.436e-06, eta: 13:06:40, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1757, decode.acc_seg: 92.4815, loss: 0.1757 2023-11-02 18:26:02,963 - mmseg - INFO - Iter [44600/80000] lr: 1.434e-06, eta: 13:05:29, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1985, decode.acc_seg: 91.8470, loss: 0.1985 2023-11-02 18:27:03,719 - mmseg - INFO - Iter [44650/80000] lr: 1.432e-06, eta: 13:04:18, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1795, decode.acc_seg: 92.3281, loss: 0.1795 2023-11-02 18:28:04,442 - mmseg - INFO - Iter [44700/80000] lr: 1.430e-06, eta: 13:03:07, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1776, decode.acc_seg: 92.6342, loss: 0.1776 2023-11-02 18:29:05,157 - mmseg - INFO - Iter [44750/80000] lr: 1.428e-06, eta: 13:01:55, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1839, decode.acc_seg: 92.2368, loss: 0.1839 2023-11-02 18:30:05,910 - mmseg - INFO - Iter [44800/80000] lr: 1.426e-06, eta: 13:00:44, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1756, decode.acc_seg: 92.6236, loss: 0.1756 2023-11-02 18:31:06,670 - mmseg - INFO - Iter [44850/80000] lr: 1.424e-06, eta: 12:59:33, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1822, decode.acc_seg: 92.3717, loss: 0.1822 2023-11-02 18:32:07,424 - mmseg - INFO - Iter [44900/80000] lr: 1.421e-06, eta: 12:58:22, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1731, decode.acc_seg: 92.6384, loss: 0.1731 2023-11-02 18:33:08,182 - mmseg - INFO - Iter [44950/80000] lr: 1.419e-06, eta: 12:57:11, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1738, decode.acc_seg: 92.5920, loss: 0.1738 2023-11-02 18:34:11,635 - mmseg - INFO - Saving checkpoint at 45000 iterations 2023-11-02 18:35:08,284 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 18:35:08,284 - mmseg - INFO - Iter [45000/80000] lr: 1.417e-06, eta: 12:56:46, time: 2.402, data_time: 0.062, memory: 38534, decode.loss_ce: 0.1822, decode.acc_seg: 92.1787, loss: 0.1822 2023-11-02 18:36:06,866 - mmseg - INFO - per class results: 2023-11-02 18:36:06,871 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 80.37 | 88.46 | | building | 83.44 | 93.88 | | sky | 94.55 | 97.34 | | floor | 83.83 | 91.9 | | tree | 76.75 | 89.36 | | ceiling | 86.06 | 94.01 | | road | 86.57 | 90.7 | | bed | 92.16 | 96.95 | | windowpane | 65.95 | 81.16 | | grass | 66.38 | 78.49 | | cabinet | 66.01 | 74.35 | | sidewalk | 70.43 | 84.28 | | person | 83.58 | 92.61 | | earth | 41.35 | 57.08 | | door | 59.7 | 78.63 | | table | 70.1 | 82.7 | | mountain | 59.76 | 70.53 | | plant | 55.27 | 66.26 | | curtain | 77.65 | 89.64 | | chair | 62.35 | 72.77 | | car | 86.66 | 93.52 | | water | 59.53 | 76.13 | | painting | 77.91 | 86.98 | | sofa | 80.57 | 87.29 | | shelf | 47.21 | 60.84 | | house | 43.64 | 54.79 | | sea | 68.65 | 90.37 | | mirror | 78.19 | 87.91 | | rug | 66.38 | 78.07 | | field | 31.48 | 58.9 | | armchair | 63.35 | 82.29 | | seat | 63.4 | 90.17 | | fence | 50.83 | 67.56 | | desk | 60.17 | 75.77 | | rock | 55.92 | 83.46 | | wardrobe | 56.72 | 82.87 | | lamp | 70.83 | 81.77 | | bathtub | 87.99 | 91.12 | | railing | 39.21 | 54.62 | | cushion | 64.9 | 79.11 | | base | 38.39 | 52.0 | | box | 37.26 | 45.03 | | column | 49.83 | 60.41 | | signboard | 39.48 | 50.89 | | chest of drawers | 53.76 | 74.56 | | counter | 43.87 | 57.53 | | sand | 59.78 | 86.06 | | sink | 78.15 | 84.45 | | skyscraper | 46.44 | 59.96 | | fireplace | 74.34 | 94.17 | | refrigerator | 85.02 | 94.66 | | grandstand | 48.33 | 81.04 | | path | 30.16 | 39.79 | | stairs | 29.98 | 38.68 | | runway | 74.49 | 95.98 | | case | 60.56 | 78.63 | | pool table | 94.24 | 97.62 | | pillow | 61.93 | 72.96 | | screen door | 73.02 | 75.53 | | stairway | 43.12 | 56.49 | | river | 13.4 | 16.41 | | bridge | 72.34 | 83.27 | | bookcase | 38.24 | 51.3 | | blind | 43.73 | 48.69 | | coffee table | 66.61 | 85.07 | | toilet | 89.2 | 92.4 | | flower | 38.73 | 54.87 | | book | 50.65 | 72.81 | | hill | 18.03 | 23.89 | | bench | 54.98 | 61.82 | | countertop | 63.63 | 85.4 | | stove | 84.98 | 92.38 | | palm | 53.06 | 73.8 | | kitchen island | 47.93 | 75.27 | | computer | 76.54 | 88.1 | | swivel chair | 41.8 | 65.23 | | boat | 75.97 | 90.14 | | bar | 67.03 | 82.03 | | arcade machine | 66.9 | 68.84 | | hovel | 34.84 | 37.8 | | bus | 92.37 | 96.79 | | towel | 77.14 | 85.71 | | light | 46.17 | 52.74 | | truck | 49.97 | 63.4 | | tower | 27.15 | 48.1 | | chandelier | 69.04 | 79.6 | | awning | 35.97 | 44.25 | | streetlight | 26.52 | 35.86 | | booth | 54.03 | 73.72 | | television receiver | 76.76 | 89.7 | | airplane | 86.39 | 94.13 | | dirt track | 9.66 | 45.6 | | apparel | 53.15 | 78.5 | | pole | 23.23 | 32.64 | | land | 5.1 | 6.69 | | bannister | 17.17 | 22.73 | | escalator | 67.09 | 83.24 | | ottoman | 53.19 | 71.03 | | bottle | 40.47 | 68.63 | | buffet | 56.89 | 65.57 | | poster | 39.53 | 47.88 | | stage | 11.55 | 25.72 | | van | 51.15 | 70.15 | | ship | 68.69 | 69.64 | | fountain | 32.86 | 33.08 | | conveyer belt | 83.13 | 94.29 | | canopy | 44.74 | 62.2 | | washer | 83.3 | 88.02 | | plaything | 31.85 | 49.73 | | swimming pool | 53.55 | 74.11 | | stool | 53.08 | 63.52 | | barrel | 58.9 | 79.67 | | basket | 43.84 | 61.02 | | waterfall | 49.99 | 56.16 | | tent | 94.27 | 98.74 | | bag | 19.15 | 20.41 | | minibike | 74.01 | 85.59 | | cradle | 86.64 | 97.42 | | oven | 59.2 | 71.22 | | ball | 60.24 | 70.18 | | food | 64.01 | 74.81 | | step | 11.49 | 13.98 | | tank | 61.47 | 63.95 | | trade name | 28.22 | 31.54 | | microwave | 89.74 | 93.92 | | pot | 57.79 | 64.27 | | animal | 73.79 | 75.91 | | bicycle | 60.45 | 78.23 | | lake | 54.81 | 63.68 | | dishwasher | 70.11 | 83.31 | | screen | 58.45 | 94.21 | | blanket | 28.61 | 32.94 | | sculpture | 75.83 | 85.5 | | hood | 61.31 | 71.6 | | sconce | 52.69 | 66.3 | | vase | 46.51 | 61.14 | | traffic light | 37.27 | 53.28 | | tray | 22.5 | 29.91 | | ashcan | 49.85 | 62.58 | | fan | 64.01 | 76.14 | | pier | 39.65 | 41.97 | | crt screen | 1.49 | 3.26 | | plate | 60.21 | 75.1 | | monitor | 23.64 | 27.16 | | bulletin board | 52.55 | 63.49 | | shower | 11.24 | 12.13 | | radiator | 64.96 | 76.89 | | glass | 18.58 | 19.77 | | clock | 49.82 | 60.1 | | flag | 66.34 | 73.05 | +---------------------+-------+-------+ 2023-11-02 18:36:06,871 - mmseg - INFO - Summary: 2023-11-02 18:36:06,871 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 85.49 | 56.41 | 68.45 | +-------+-------+-------+ 2023-11-02 18:36:06,872 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 18:36:06,872 - mmseg - INFO - Iter(val) [250] aAcc: 0.8549, mIoU: 0.5641, mAcc: 0.6845, IoU.wall: 0.8037, IoU.building: 0.8344, IoU.sky: 0.9455, IoU.floor: 0.8383, IoU.tree: 0.7675, IoU.ceiling: 0.8606, IoU.road: 0.8657, IoU.bed : 0.9216, IoU.windowpane: 0.6595, IoU.grass: 0.6638, IoU.cabinet: 0.6601, IoU.sidewalk: 0.7043, IoU.person: 0.8358, IoU.earth: 0.4135, IoU.door: 0.5970, IoU.table: 0.7010, IoU.mountain: 0.5976, IoU.plant: 0.5527, IoU.curtain: 0.7765, IoU.chair: 0.6235, IoU.car: 0.8666, IoU.water: 0.5953, IoU.painting: 0.7791, IoU.sofa: 0.8057, IoU.shelf: 0.4721, IoU.house: 0.4364, IoU.sea: 0.6865, IoU.mirror: 0.7819, IoU.rug: 0.6638, IoU.field: 0.3148, IoU.armchair: 0.6335, IoU.seat: 0.6340, IoU.fence: 0.5083, IoU.desk: 0.6017, IoU.rock: 0.5592, IoU.wardrobe: 0.5672, IoU.lamp: 0.7083, IoU.bathtub: 0.8799, IoU.railing: 0.3921, IoU.cushion: 0.6490, IoU.base: 0.3839, IoU.box: 0.3726, IoU.column: 0.4983, IoU.signboard: 0.3948, IoU.chest of drawers: 0.5376, IoU.counter: 0.4387, IoU.sand: 0.5978, IoU.sink: 0.7815, IoU.skyscraper: 0.4644, IoU.fireplace: 0.7434, IoU.refrigerator: 0.8502, IoU.grandstand: 0.4833, IoU.path: 0.3016, IoU.stairs: 0.2998, IoU.runway: 0.7449, IoU.case: 0.6056, IoU.pool table: 0.9424, IoU.pillow: 0.6193, IoU.screen door: 0.7302, IoU.stairway: 0.4312, IoU.river: 0.1340, IoU.bridge: 0.7234, IoU.bookcase: 0.3824, IoU.blind: 0.4373, IoU.coffee table: 0.6661, IoU.toilet: 0.8920, IoU.flower: 0.3873, IoU.book: 0.5065, IoU.hill: 0.1803, IoU.bench: 0.5498, IoU.countertop: 0.6363, IoU.stove: 0.8498, IoU.palm: 0.5306, IoU.kitchen island: 0.4793, IoU.computer: 0.7654, IoU.swivel chair: 0.4180, IoU.boat: 0.7597, IoU.bar: 0.6703, IoU.arcade machine: 0.6690, IoU.hovel: 0.3484, IoU.bus: 0.9237, IoU.towel: 0.7714, IoU.light: 0.4617, IoU.truck: 0.4997, IoU.tower: 0.2715, IoU.chandelier: 0.6904, IoU.awning: 0.3597, IoU.streetlight: 0.2652, IoU.booth: 0.5403, IoU.television receiver: 0.7676, IoU.airplane: 0.8639, IoU.dirt track: 0.0966, IoU.apparel: 0.5315, IoU.pole: 0.2323, IoU.land: 0.0510, IoU.bannister: 0.1717, IoU.escalator: 0.6709, IoU.ottoman: 0.5319, IoU.bottle: 0.4047, IoU.buffet: 0.5689, IoU.poster: 0.3953, IoU.stage: 0.1155, IoU.van: 0.5115, IoU.ship: 0.6869, IoU.fountain: 0.3286, IoU.conveyer belt: 0.8313, IoU.canopy: 0.4474, IoU.washer: 0.8330, IoU.plaything: 0.3185, IoU.swimming pool: 0.5355, IoU.stool: 0.5308, IoU.barrel: 0.5890, IoU.basket: 0.4384, IoU.waterfall: 0.4999, IoU.tent: 0.9427, IoU.bag: 0.1915, IoU.minibike: 0.7401, IoU.cradle: 0.8664, IoU.oven: 0.5920, IoU.ball: 0.6024, IoU.food: 0.6401, IoU.step: 0.1149, IoU.tank: 0.6147, IoU.trade name: 0.2822, IoU.microwave: 0.8974, IoU.pot: 0.5779, IoU.animal: 0.7379, IoU.bicycle: 0.6045, IoU.lake: 0.5481, IoU.dishwasher: 0.7011, IoU.screen: 0.5845, IoU.blanket: 0.2861, IoU.sculpture: 0.7583, IoU.hood: 0.6131, IoU.sconce: 0.5269, IoU.vase: 0.4651, IoU.traffic light: 0.3727, IoU.tray: 0.2250, IoU.ashcan: 0.4985, IoU.fan: 0.6401, IoU.pier: 0.3965, IoU.crt screen: 0.0149, IoU.plate: 0.6021, IoU.monitor: 0.2364, IoU.bulletin board: 0.5255, IoU.shower: 0.1124, IoU.radiator: 0.6496, IoU.glass: 0.1858, IoU.clock: 0.4982, IoU.flag: 0.6634, Acc.wall: 0.8846, Acc.building: 0.9388, Acc.sky: 0.9734, Acc.floor: 0.9190, Acc.tree: 0.8936, Acc.ceiling: 0.9401, Acc.road: 0.9070, Acc.bed : 0.9695, Acc.windowpane: 0.8116, Acc.grass: 0.7849, Acc.cabinet: 0.7435, Acc.sidewalk: 0.8428, Acc.person: 0.9261, Acc.earth: 0.5708, Acc.door: 0.7863, Acc.table: 0.8270, Acc.mountain: 0.7053, Acc.plant: 0.6626, Acc.curtain: 0.8964, Acc.chair: 0.7277, Acc.car: 0.9352, Acc.water: 0.7613, Acc.painting: 0.8698, Acc.sofa: 0.8729, Acc.shelf: 0.6084, Acc.house: 0.5479, Acc.sea: 0.9037, Acc.mirror: 0.8791, Acc.rug: 0.7807, Acc.field: 0.5890, Acc.armchair: 0.8229, Acc.seat: 0.9017, Acc.fence: 0.6756, Acc.desk: 0.7577, Acc.rock: 0.8346, Acc.wardrobe: 0.8287, Acc.lamp: 0.8177, Acc.bathtub: 0.9112, Acc.railing: 0.5462, Acc.cushion: 0.7911, Acc.base: 0.5200, Acc.box: 0.4503, Acc.column: 0.6041, Acc.signboard: 0.5089, Acc.chest of drawers: 0.7456, Acc.counter: 0.5753, Acc.sand: 0.8606, Acc.sink: 0.8445, Acc.skyscraper: 0.5996, Acc.fireplace: 0.9417, Acc.refrigerator: 0.9466, Acc.grandstand: 0.8104, Acc.path: 0.3979, Acc.stairs: 0.3868, Acc.runway: 0.9598, Acc.case: 0.7863, Acc.pool table: 0.9762, Acc.pillow: 0.7296, Acc.screen door: 0.7553, Acc.stairway: 0.5649, Acc.river: 0.1641, Acc.bridge: 0.8327, Acc.bookcase: 0.5130, Acc.blind: 0.4869, Acc.coffee table: 0.8507, Acc.toilet: 0.9240, Acc.flower: 0.5487, Acc.book: 0.7281, Acc.hill: 0.2389, Acc.bench: 0.6182, Acc.countertop: 0.8540, Acc.stove: 0.9238, Acc.palm: 0.7380, Acc.kitchen island: 0.7527, Acc.computer: 0.8810, Acc.swivel chair: 0.6523, Acc.boat: 0.9014, Acc.bar: 0.8203, Acc.arcade machine: 0.6884, Acc.hovel: 0.3780, Acc.bus: 0.9679, Acc.towel: 0.8571, Acc.light: 0.5274, Acc.truck: 0.6340, Acc.tower: 0.4810, Acc.chandelier: 0.7960, Acc.awning: 0.4425, Acc.streetlight: 0.3586, Acc.booth: 0.7372, Acc.television receiver: 0.8970, Acc.airplane: 0.9413, Acc.dirt track: 0.4560, Acc.apparel: 0.7850, Acc.pole: 0.3264, Acc.land: 0.0669, Acc.bannister: 0.2273, Acc.escalator: 0.8324, Acc.ottoman: 0.7103, Acc.bottle: 0.6863, Acc.buffet: 0.6557, Acc.poster: 0.4788, Acc.stage: 0.2572, Acc.van: 0.7015, Acc.ship: 0.6964, Acc.fountain: 0.3308, Acc.conveyer belt: 0.9429, Acc.canopy: 0.6220, Acc.washer: 0.8802, Acc.plaything: 0.4973, Acc.swimming pool: 0.7411, Acc.stool: 0.6352, Acc.barrel: 0.7967, Acc.basket: 0.6102, Acc.waterfall: 0.5616, Acc.tent: 0.9874, Acc.bag: 0.2041, Acc.minibike: 0.8559, Acc.cradle: 0.9742, Acc.oven: 0.7122, Acc.ball: 0.7018, Acc.food: 0.7481, Acc.step: 0.1398, Acc.tank: 0.6395, Acc.trade name: 0.3154, Acc.microwave: 0.9392, Acc.pot: 0.6427, Acc.animal: 0.7591, Acc.bicycle: 0.7823, Acc.lake: 0.6368, Acc.dishwasher: 0.8331, Acc.screen: 0.9421, Acc.blanket: 0.3294, Acc.sculpture: 0.8550, Acc.hood: 0.7160, Acc.sconce: 0.6630, Acc.vase: 0.6114, Acc.traffic light: 0.5328, Acc.tray: 0.2991, Acc.ashcan: 0.6258, Acc.fan: 0.7614, Acc.pier: 0.4197, Acc.crt screen: 0.0326, Acc.plate: 0.7510, Acc.monitor: 0.2716, Acc.bulletin board: 0.6349, Acc.shower: 0.1213, Acc.radiator: 0.7689, Acc.glass: 0.1977, Acc.clock: 0.6010, Acc.flag: 0.7305 2023-11-02 18:37:07,724 - mmseg - INFO - Iter [45050/80000] lr: 1.415e-06, eta: 12:56:21, time: 2.389, data_time: 1.179, memory: 38534, decode.loss_ce: 0.1779, decode.acc_seg: 92.4743, loss: 0.1779 2023-11-02 18:38:08,477 - mmseg - INFO - Iter [45100/80000] lr: 1.413e-06, eta: 12:55:09, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1647, decode.acc_seg: 92.8736, loss: 0.1647 2023-11-02 18:39:09,262 - mmseg - INFO - Iter [45150/80000] lr: 1.411e-06, eta: 12:53:58, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1739, decode.acc_seg: 92.6009, loss: 0.1739 2023-11-02 18:40:10,035 - mmseg - INFO - Iter [45200/80000] lr: 1.409e-06, eta: 12:52:47, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1816, decode.acc_seg: 92.2904, loss: 0.1816 2023-11-02 18:41:10,750 - mmseg - INFO - Iter [45250/80000] lr: 1.407e-06, eta: 12:51:36, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1854, decode.acc_seg: 92.3652, loss: 0.1854 2023-11-02 18:42:11,490 - mmseg - INFO - Iter [45300/80000] lr: 1.405e-06, eta: 12:50:25, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1769, decode.acc_seg: 92.4191, loss: 0.1769 2023-11-02 18:43:12,248 - mmseg - INFO - Iter [45350/80000] lr: 1.403e-06, eta: 12:49:14, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1830, decode.acc_seg: 92.2122, loss: 0.1830 2023-11-02 18:44:12,986 - mmseg - INFO - Iter [45400/80000] lr: 1.401e-06, eta: 12:48:03, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1742, decode.acc_seg: 92.8452, loss: 0.1742 2023-11-02 18:45:13,743 - mmseg - INFO - Iter [45450/80000] lr: 1.399e-06, eta: 12:46:52, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1817, decode.acc_seg: 92.4315, loss: 0.1817 2023-11-02 18:46:16,789 - mmseg - INFO - Iter [45500/80000] lr: 1.397e-06, eta: 12:45:42, time: 1.261, data_time: 0.052, memory: 38534, decode.loss_ce: 0.1760, decode.acc_seg: 92.4567, loss: 0.1760 2023-11-02 18:47:17,551 - mmseg - INFO - Iter [45550/80000] lr: 1.395e-06, eta: 12:44:31, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1720, decode.acc_seg: 92.8351, loss: 0.1720 2023-11-02 18:48:18,274 - mmseg - INFO - Iter [45600/80000] lr: 1.393e-06, eta: 12:43:20, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1864, decode.acc_seg: 92.1975, loss: 0.1864 2023-11-02 18:49:18,949 - mmseg - INFO - Iter [45650/80000] lr: 1.391e-06, eta: 12:42:09, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1723, decode.acc_seg: 92.5872, loss: 0.1723 2023-11-02 18:50:19,710 - mmseg - INFO - Iter [45700/80000] lr: 1.389e-06, eta: 12:40:59, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1739, decode.acc_seg: 92.7663, loss: 0.1739 2023-11-02 18:51:20,442 - mmseg - INFO - Iter [45750/80000] lr: 1.387e-06, eta: 12:39:48, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1706, decode.acc_seg: 92.6221, loss: 0.1706 2023-11-02 18:52:21,182 - mmseg - INFO - Iter [45800/80000] lr: 1.385e-06, eta: 12:38:37, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1767, decode.acc_seg: 92.4392, loss: 0.1767 2023-11-02 18:53:21,940 - mmseg - INFO - Iter [45850/80000] lr: 1.383e-06, eta: 12:37:26, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1770, decode.acc_seg: 92.5286, loss: 0.1770 2023-11-02 18:54:22,679 - mmseg - INFO - Iter [45900/80000] lr: 1.381e-06, eta: 12:36:15, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1789, decode.acc_seg: 92.5682, loss: 0.1789 2023-11-02 18:55:23,422 - mmseg - INFO - Iter [45950/80000] lr: 1.379e-06, eta: 12:35:04, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1753, decode.acc_seg: 92.3249, loss: 0.1753 2023-11-02 18:56:24,164 - mmseg - INFO - Saving checkpoint at 46000 iterations 2023-11-02 18:57:20,465 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 18:57:20,465 - mmseg - INFO - Iter [46000/80000] lr: 1.377e-06, eta: 12:34:35, time: 2.341, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1714, decode.acc_seg: 92.5376, loss: 0.1714 2023-11-02 18:58:21,142 - mmseg - INFO - per class results: 2023-11-02 18:58:21,147 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 81.0 | 88.97 | | building | 84.21 | 93.57 | | sky | 94.45 | 97.25 | | floor | 83.87 | 90.73 | | tree | 76.81 | 88.23 | | ceiling | 85.94 | 94.01 | | road | 85.57 | 91.74 | | bed | 92.1 | 97.46 | | windowpane | 65.29 | 78.8 | | grass | 69.77 | 79.58 | | cabinet | 65.79 | 74.31 | | sidewalk | 69.25 | 80.98 | | person | 83.4 | 94.27 | | earth | 40.31 | 53.63 | | door | 61.83 | 77.89 | | table | 69.7 | 82.57 | | mountain | 60.82 | 75.59 | | plant | 56.06 | 70.34 | | curtain | 77.88 | 89.4 | | chair | 62.99 | 73.69 | | car | 86.64 | 94.06 | | water | 60.48 | 76.58 | | painting | 77.62 | 89.94 | | sofa | 81.16 | 89.45 | | shelf | 47.6 | 62.68 | | house | 50.73 | 62.82 | | sea | 67.86 | 85.38 | | mirror | 78.38 | 88.39 | | rug | 65.0 | 78.15 | | field | 34.57 | 61.75 | | armchair | 63.28 | 80.53 | | seat | 63.09 | 88.18 | | fence | 49.39 | 66.25 | | desk | 58.04 | 79.84 | | rock | 55.87 | 79.5 | | wardrobe | 56.52 | 82.27 | | lamp | 71.11 | 82.87 | | bathtub | 87.02 | 90.75 | | railing | 41.04 | 58.77 | | cushion | 65.63 | 78.8 | | base | 41.47 | 53.67 | | box | 39.32 | 48.24 | | column | 53.41 | 69.55 | | signboard | 38.81 | 50.95 | | chest of drawers | 54.06 | 81.43 | | counter | 47.52 | 62.34 | | sand | 59.23 | 87.49 | | sink | 80.62 | 88.92 | | skyscraper | 44.84 | 56.56 | | fireplace | 71.84 | 91.38 | | refrigerator | 85.61 | 94.79 | | grandstand | 50.26 | 81.33 | | path | 25.2 | 34.61 | | stairs | 28.2 | 34.16 | | runway | 73.43 | 94.41 | | case | 58.6 | 83.19 | | pool table | 94.13 | 97.05 | | pillow | 63.1 | 74.84 | | screen door | 75.68 | 77.29 | | stairway | 45.95 | 65.01 | | river | 12.71 | 19.78 | | bridge | 74.67 | 84.85 | | bookcase | 36.31 | 51.88 | | blind | 40.51 | 46.13 | | coffee table | 65.25 | 85.62 | | toilet | 89.95 | 94.34 | | flower | 39.19 | 54.88 | | book | 50.3 | 78.44 | | hill | 11.51 | 16.35 | | bench | 54.06 | 61.49 | | countertop | 65.69 | 84.24 | | stove | 85.64 | 92.54 | | palm | 52.7 | 82.28 | | kitchen island | 58.95 | 80.76 | | computer | 77.84 | 88.81 | | swivel chair | 42.95 | 68.72 | | boat | 75.89 | 90.16 | | bar | 64.87 | 85.88 | | arcade machine | 54.19 | 56.16 | | hovel | 23.75 | 25.54 | | bus | 91.98 | 96.74 | | towel | 77.0 | 88.3 | | light | 49.51 | 57.95 | | truck | 48.4 | 62.04 | | tower | 27.34 | 53.34 | | chandelier | 70.62 | 84.09 | | awning | 34.31 | 43.96 | | streetlight | 28.95 | 40.54 | | booth | 55.65 | 66.01 | | television receiver | 76.54 | 88.09 | | airplane | 84.4 | 91.61 | | dirt track | 9.33 | 52.63 | | apparel | 55.11 | 73.26 | | pole | 22.21 | 29.68 | | land | 3.79 | 4.94 | | bannister | 19.26 | 25.3 | | escalator | 66.94 | 84.99 | | ottoman | 50.81 | 71.63 | | bottle | 41.24 | 72.39 | | buffet | 52.53 | 63.79 | | poster | 31.7 | 35.89 | | stage | 14.42 | 23.97 | | van | 49.0 | 68.23 | | ship | 76.45 | 79.89 | | fountain | 32.6 | 32.7 | | conveyer belt | 75.14 | 96.0 | | canopy | 54.27 | 71.27 | | washer | 86.2 | 92.21 | | plaything | 32.83 | 48.35 | | swimming pool | 51.83 | 74.35 | | stool | 46.78 | 68.49 | | barrel | 51.54 | 81.03 | | basket | 44.01 | 58.96 | | waterfall | 47.6 | 58.83 | | tent | 95.79 | 98.59 | | bag | 22.54 | 24.98 | | minibike | 74.06 | 87.61 | | cradle | 86.39 | 98.3 | | oven | 65.52 | 75.18 | | ball | 61.29 | 69.86 | | food | 59.67 | 70.16 | | step | 12.23 | 14.25 | | tank | 61.46 | 64.91 | | trade name | 26.74 | 29.41 | | microwave | 90.11 | 94.06 | | pot | 58.17 | 66.82 | | animal | 75.06 | 78.96 | | bicycle | 60.29 | 81.26 | | lake | 57.94 | 69.59 | | dishwasher | 68.39 | 83.33 | | screen | 59.87 | 89.07 | | blanket | 32.69 | 38.51 | | sculpture | 74.96 | 85.06 | | hood | 62.35 | 75.78 | | sconce | 53.89 | 69.39 | | vase | 45.88 | 64.07 | | traffic light | 35.45 | 57.47 | | tray | 20.69 | 27.49 | | ashcan | 49.85 | 67.35 | | fan | 60.27 | 68.64 | | pier | 43.53 | 48.13 | | crt screen | 3.44 | 10.31 | | plate | 59.76 | 78.27 | | monitor | 9.98 | 11.35 | | bulletin board | 49.15 | 54.82 | | shower | 11.49 | 15.79 | | radiator | 65.79 | 77.28 | | glass | 20.38 | 22.24 | | clock | 51.23 | 63.57 | | flag | 65.04 | 79.81 | +---------------------+-------+-------+ 2023-11-02 18:58:21,147 - mmseg - INFO - Summary: 2023-11-02 18:58:21,147 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 85.64 | 56.32 | 69.19 | +-------+-------+-------+ 2023-11-02 18:58:21,148 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 18:58:21,149 - mmseg - INFO - Iter(val) [250] aAcc: 0.8564, mIoU: 0.5632, mAcc: 0.6919, IoU.wall: 0.8100, IoU.building: 0.8421, IoU.sky: 0.9445, IoU.floor: 0.8387, IoU.tree: 0.7681, IoU.ceiling: 0.8594, IoU.road: 0.8557, IoU.bed : 0.9210, IoU.windowpane: 0.6529, IoU.grass: 0.6977, IoU.cabinet: 0.6579, IoU.sidewalk: 0.6925, IoU.person: 0.8340, IoU.earth: 0.4031, IoU.door: 0.6183, IoU.table: 0.6970, IoU.mountain: 0.6082, IoU.plant: 0.5606, IoU.curtain: 0.7788, IoU.chair: 0.6299, IoU.car: 0.8664, IoU.water: 0.6048, IoU.painting: 0.7762, IoU.sofa: 0.8116, IoU.shelf: 0.4760, IoU.house: 0.5073, IoU.sea: 0.6786, IoU.mirror: 0.7838, IoU.rug: 0.6500, IoU.field: 0.3457, IoU.armchair: 0.6328, IoU.seat: 0.6309, IoU.fence: 0.4939, IoU.desk: 0.5804, IoU.rock: 0.5587, IoU.wardrobe: 0.5652, IoU.lamp: 0.7111, IoU.bathtub: 0.8702, IoU.railing: 0.4104, IoU.cushion: 0.6563, IoU.base: 0.4147, IoU.box: 0.3932, IoU.column: 0.5341, IoU.signboard: 0.3881, IoU.chest of drawers: 0.5406, IoU.counter: 0.4752, IoU.sand: 0.5923, IoU.sink: 0.8062, IoU.skyscraper: 0.4484, IoU.fireplace: 0.7184, IoU.refrigerator: 0.8561, IoU.grandstand: 0.5026, IoU.path: 0.2520, IoU.stairs: 0.2820, IoU.runway: 0.7343, IoU.case: 0.5860, IoU.pool table: 0.9413, IoU.pillow: 0.6310, IoU.screen door: 0.7568, IoU.stairway: 0.4595, IoU.river: 0.1271, IoU.bridge: 0.7467, IoU.bookcase: 0.3631, IoU.blind: 0.4051, IoU.coffee table: 0.6525, IoU.toilet: 0.8995, IoU.flower: 0.3919, IoU.book: 0.5030, IoU.hill: 0.1151, IoU.bench: 0.5406, IoU.countertop: 0.6569, IoU.stove: 0.8564, IoU.palm: 0.5270, IoU.kitchen island: 0.5895, IoU.computer: 0.7784, IoU.swivel chair: 0.4295, IoU.boat: 0.7589, IoU.bar: 0.6487, IoU.arcade machine: 0.5419, IoU.hovel: 0.2375, IoU.bus: 0.9198, IoU.towel: 0.7700, IoU.light: 0.4951, IoU.truck: 0.4840, IoU.tower: 0.2734, IoU.chandelier: 0.7062, IoU.awning: 0.3431, IoU.streetlight: 0.2895, IoU.booth: 0.5565, IoU.television receiver: 0.7654, IoU.airplane: 0.8440, IoU.dirt track: 0.0933, IoU.apparel: 0.5511, IoU.pole: 0.2221, IoU.land: 0.0379, IoU.bannister: 0.1926, IoU.escalator: 0.6694, IoU.ottoman: 0.5081, IoU.bottle: 0.4124, IoU.buffet: 0.5253, IoU.poster: 0.3170, IoU.stage: 0.1442, IoU.van: 0.4900, IoU.ship: 0.7645, IoU.fountain: 0.3260, IoU.conveyer belt: 0.7514, IoU.canopy: 0.5427, IoU.washer: 0.8620, IoU.plaything: 0.3283, IoU.swimming pool: 0.5183, IoU.stool: 0.4678, IoU.barrel: 0.5154, IoU.basket: 0.4401, IoU.waterfall: 0.4760, IoU.tent: 0.9579, IoU.bag: 0.2254, IoU.minibike: 0.7406, IoU.cradle: 0.8639, IoU.oven: 0.6552, IoU.ball: 0.6129, IoU.food: 0.5967, IoU.step: 0.1223, IoU.tank: 0.6146, IoU.trade name: 0.2674, IoU.microwave: 0.9011, IoU.pot: 0.5817, IoU.animal: 0.7506, IoU.bicycle: 0.6029, IoU.lake: 0.5794, IoU.dishwasher: 0.6839, IoU.screen: 0.5987, IoU.blanket: 0.3269, IoU.sculpture: 0.7496, IoU.hood: 0.6235, IoU.sconce: 0.5389, IoU.vase: 0.4588, IoU.traffic light: 0.3545, IoU.tray: 0.2069, IoU.ashcan: 0.4985, IoU.fan: 0.6027, IoU.pier: 0.4353, IoU.crt screen: 0.0344, IoU.plate: 0.5976, IoU.monitor: 0.0998, IoU.bulletin board: 0.4915, IoU.shower: 0.1149, IoU.radiator: 0.6579, IoU.glass: 0.2038, IoU.clock: 0.5123, IoU.flag: 0.6504, Acc.wall: 0.8897, Acc.building: 0.9357, Acc.sky: 0.9725, Acc.floor: 0.9073, Acc.tree: 0.8823, Acc.ceiling: 0.9401, Acc.road: 0.9174, Acc.bed : 0.9746, Acc.windowpane: 0.7880, Acc.grass: 0.7958, Acc.cabinet: 0.7431, Acc.sidewalk: 0.8098, Acc.person: 0.9427, Acc.earth: 0.5363, Acc.door: 0.7789, Acc.table: 0.8257, Acc.mountain: 0.7559, Acc.plant: 0.7034, Acc.curtain: 0.8940, Acc.chair: 0.7369, Acc.car: 0.9406, Acc.water: 0.7658, Acc.painting: 0.8994, Acc.sofa: 0.8945, Acc.shelf: 0.6268, Acc.house: 0.6282, Acc.sea: 0.8538, Acc.mirror: 0.8839, Acc.rug: 0.7815, Acc.field: 0.6175, Acc.armchair: 0.8053, Acc.seat: 0.8818, Acc.fence: 0.6625, Acc.desk: 0.7984, Acc.rock: 0.7950, Acc.wardrobe: 0.8227, Acc.lamp: 0.8287, Acc.bathtub: 0.9075, Acc.railing: 0.5877, Acc.cushion: 0.7880, Acc.base: 0.5367, Acc.box: 0.4824, Acc.column: 0.6955, Acc.signboard: 0.5095, Acc.chest of drawers: 0.8143, Acc.counter: 0.6234, Acc.sand: 0.8749, Acc.sink: 0.8892, Acc.skyscraper: 0.5656, Acc.fireplace: 0.9138, Acc.refrigerator: 0.9479, Acc.grandstand: 0.8133, Acc.path: 0.3461, Acc.stairs: 0.3416, Acc.runway: 0.9441, Acc.case: 0.8319, Acc.pool table: 0.9705, Acc.pillow: 0.7484, Acc.screen door: 0.7729, Acc.stairway: 0.6501, Acc.river: 0.1978, Acc.bridge: 0.8485, Acc.bookcase: 0.5188, Acc.blind: 0.4613, Acc.coffee table: 0.8562, Acc.toilet: 0.9434, Acc.flower: 0.5488, Acc.book: 0.7844, Acc.hill: 0.1635, Acc.bench: 0.6149, Acc.countertop: 0.8424, Acc.stove: 0.9254, Acc.palm: 0.8228, Acc.kitchen island: 0.8076, Acc.computer: 0.8881, Acc.swivel chair: 0.6872, Acc.boat: 0.9016, Acc.bar: 0.8588, Acc.arcade machine: 0.5616, Acc.hovel: 0.2554, Acc.bus: 0.9674, Acc.towel: 0.8830, Acc.light: 0.5795, Acc.truck: 0.6204, Acc.tower: 0.5334, Acc.chandelier: 0.8409, Acc.awning: 0.4396, Acc.streetlight: 0.4054, Acc.booth: 0.6601, Acc.television receiver: 0.8809, Acc.airplane: 0.9161, Acc.dirt track: 0.5263, Acc.apparel: 0.7326, Acc.pole: 0.2968, Acc.land: 0.0494, Acc.bannister: 0.2530, Acc.escalator: 0.8499, Acc.ottoman: 0.7163, Acc.bottle: 0.7239, Acc.buffet: 0.6379, Acc.poster: 0.3589, Acc.stage: 0.2397, Acc.van: 0.6823, Acc.ship: 0.7989, Acc.fountain: 0.3270, Acc.conveyer belt: 0.9600, Acc.canopy: 0.7127, Acc.washer: 0.9221, Acc.plaything: 0.4835, Acc.swimming pool: 0.7435, Acc.stool: 0.6849, Acc.barrel: 0.8103, Acc.basket: 0.5896, Acc.waterfall: 0.5883, Acc.tent: 0.9859, Acc.bag: 0.2498, Acc.minibike: 0.8761, Acc.cradle: 0.9830, Acc.oven: 0.7518, Acc.ball: 0.6986, Acc.food: 0.7016, Acc.step: 0.1425, Acc.tank: 0.6491, Acc.trade name: 0.2941, Acc.microwave: 0.9406, Acc.pot: 0.6682, Acc.animal: 0.7896, Acc.bicycle: 0.8126, Acc.lake: 0.6959, Acc.dishwasher: 0.8333, Acc.screen: 0.8907, Acc.blanket: 0.3851, Acc.sculpture: 0.8506, Acc.hood: 0.7578, Acc.sconce: 0.6939, Acc.vase: 0.6407, Acc.traffic light: 0.5747, Acc.tray: 0.2749, Acc.ashcan: 0.6735, Acc.fan: 0.6864, Acc.pier: 0.4813, Acc.crt screen: 0.1031, Acc.plate: 0.7827, Acc.monitor: 0.1135, Acc.bulletin board: 0.5482, Acc.shower: 0.1579, Acc.radiator: 0.7728, Acc.glass: 0.2224, Acc.clock: 0.6357, Acc.flag: 0.7981 2023-11-02 18:59:22,088 - mmseg - INFO - Iter [46050/80000] lr: 1.375e-06, eta: 12:34:09, time: 2.432, data_time: 1.222, memory: 38534, decode.loss_ce: 0.1716, decode.acc_seg: 92.7304, loss: 0.1716 2023-11-02 19:00:22,883 - mmseg - INFO - Iter [46100/80000] lr: 1.373e-06, eta: 12:32:58, time: 1.216, data_time: 0.008, memory: 38534, decode.loss_ce: 0.1811, decode.acc_seg: 92.4838, loss: 0.1811 2023-11-02 19:01:23,662 - mmseg - INFO - Iter [46150/80000] lr: 1.371e-06, eta: 12:31:47, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1781, decode.acc_seg: 92.5410, loss: 0.1781 2023-11-02 19:02:24,416 - mmseg - INFO - Iter [46200/80000] lr: 1.369e-06, eta: 12:30:36, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1796, decode.acc_seg: 92.6805, loss: 0.1796 2023-11-02 19:03:25,153 - mmseg - INFO - Iter [46250/80000] lr: 1.367e-06, eta: 12:29:25, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1723, decode.acc_seg: 92.5874, loss: 0.1723 2023-11-02 19:04:25,910 - mmseg - INFO - Iter [46300/80000] lr: 1.365e-06, eta: 12:28:14, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1689, decode.acc_seg: 92.8777, loss: 0.1689 2023-11-02 19:05:26,667 - mmseg - INFO - Iter [46350/80000] lr: 1.363e-06, eta: 12:27:04, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1646, decode.acc_seg: 92.9271, loss: 0.1646 2023-11-02 19:06:27,435 - mmseg - INFO - Iter [46400/80000] lr: 1.361e-06, eta: 12:25:53, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1765, decode.acc_seg: 92.7416, loss: 0.1765 2023-11-02 19:07:28,226 - mmseg - INFO - Iter [46450/80000] lr: 1.359e-06, eta: 12:24:42, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1700, decode.acc_seg: 92.7467, loss: 0.1700 2023-11-02 19:08:28,990 - mmseg - INFO - Iter [46500/80000] lr: 1.357e-06, eta: 12:23:31, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1800, decode.acc_seg: 92.3614, loss: 0.1800 2023-11-02 19:09:29,748 - mmseg - INFO - Iter [46550/80000] lr: 1.355e-06, eta: 12:22:20, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1730, decode.acc_seg: 92.4877, loss: 0.1730 2023-11-02 19:10:30,556 - mmseg - INFO - Iter [46600/80000] lr: 1.353e-06, eta: 12:21:10, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1785, decode.acc_seg: 92.2938, loss: 0.1785 2023-11-02 19:11:31,356 - mmseg - INFO - Iter [46650/80000] lr: 1.351e-06, eta: 12:19:59, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1761, decode.acc_seg: 92.5739, loss: 0.1761 2023-11-02 19:12:32,121 - mmseg - INFO - Iter [46700/80000] lr: 1.349e-06, eta: 12:18:48, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1745, decode.acc_seg: 92.7294, loss: 0.1745 2023-11-02 19:13:35,223 - mmseg - INFO - Iter [46750/80000] lr: 1.347e-06, eta: 12:17:39, time: 1.262, data_time: 0.052, memory: 38534, decode.loss_ce: 0.1821, decode.acc_seg: 92.3423, loss: 0.1821 2023-11-02 19:14:35,998 - mmseg - INFO - Iter [46800/80000] lr: 1.345e-06, eta: 12:16:29, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1759, decode.acc_seg: 92.6885, loss: 0.1759 2023-11-02 19:15:36,756 - mmseg - INFO - Iter [46850/80000] lr: 1.343e-06, eta: 12:15:18, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1774, decode.acc_seg: 92.5768, loss: 0.1774 2023-11-02 19:16:37,480 - mmseg - INFO - Iter [46900/80000] lr: 1.341e-06, eta: 12:14:07, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1686, decode.acc_seg: 92.9725, loss: 0.1686 2023-11-02 19:17:38,252 - mmseg - INFO - Iter [46950/80000] lr: 1.338e-06, eta: 12:12:57, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1731, decode.acc_seg: 92.7976, loss: 0.1731 2023-11-02 19:18:39,032 - mmseg - INFO - Saving checkpoint at 47000 iterations 2023-11-02 19:19:34,855 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 19:19:34,855 - mmseg - INFO - Iter [47000/80000] lr: 1.336e-06, eta: 12:12:25, time: 2.332, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1800, decode.acc_seg: 92.5769, loss: 0.1800 2023-11-02 19:20:38,087 - mmseg - INFO - per class results: 2023-11-02 19:20:38,093 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 80.84 | 89.63 | | building | 84.0 | 93.91 | | sky | 94.39 | 97.45 | | floor | 84.48 | 91.3 | | tree | 76.19 | 88.28 | | ceiling | 86.71 | 93.4 | | road | 86.15 | 92.38 | | bed | 92.37 | 97.01 | | windowpane | 66.34 | 81.39 | | grass | 70.34 | 81.87 | | cabinet | 66.06 | 77.15 | | sidewalk | 70.04 | 82.96 | | person | 83.26 | 92.88 | | earth | 40.74 | 53.98 | | door | 60.48 | 77.45 | | table | 70.57 | 81.48 | | mountain | 61.31 | 74.47 | | plant | 55.73 | 71.3 | | curtain | 77.48 | 88.34 | | chair | 63.32 | 73.53 | | car | 86.65 | 93.14 | | water | 61.24 | 78.3 | | painting | 78.61 | 89.72 | | sofa | 81.2 | 91.29 | | shelf | 45.33 | 57.66 | | house | 41.39 | 48.38 | | sea | 71.38 | 83.63 | | mirror | 77.12 | 85.86 | | rug | 66.89 | 79.37 | | field | 33.48 | 52.54 | | armchair | 63.75 | 81.08 | | seat | 65.09 | 88.26 | | fence | 49.34 | 68.32 | | desk | 57.18 | 74.67 | | rock | 57.13 | 86.84 | | wardrobe | 52.23 | 67.8 | | lamp | 71.38 | 83.18 | | bathtub | 86.94 | 90.1 | | railing | 40.23 | 57.47 | | cushion | 65.11 | 79.8 | | base | 39.68 | 51.29 | | box | 39.8 | 45.52 | | column | 52.6 | 66.54 | | signboard | 38.27 | 49.74 | | chest of drawers | 51.84 | 76.58 | | counter | 45.34 | 61.23 | | sand | 59.82 | 86.85 | | sink | 79.37 | 87.25 | | skyscraper | 43.24 | 54.36 | | fireplace | 72.14 | 91.39 | | refrigerator | 88.06 | 92.79 | | grandstand | 51.38 | 81.81 | | path | 28.66 | 38.42 | | stairs | 28.56 | 36.97 | | runway | 70.12 | 91.23 | | case | 58.96 | 80.95 | | pool table | 94.02 | 97.85 | | pillow | 61.73 | 70.91 | | screen door | 67.92 | 68.73 | | stairway | 42.44 | 58.9 | | river | 12.17 | 25.61 | | bridge | 75.48 | 86.39 | | bookcase | 37.71 | 53.47 | | blind | 39.64 | 44.88 | | coffee table | 65.44 | 83.2 | | toilet | 89.66 | 93.2 | | flower | 41.51 | 61.0 | | book | 50.93 | 74.96 | | hill | 16.79 | 20.89 | | bench | 53.45 | 61.07 | | countertop | 65.22 | 78.01 | | stove | 84.89 | 90.99 | | palm | 51.51 | 83.45 | | kitchen island | 51.0 | 80.49 | | computer | 77.9 | 88.3 | | swivel chair | 44.49 | 66.92 | | boat | 68.71 | 79.29 | | bar | 66.25 | 81.46 | | arcade machine | 56.12 | 58.57 | | hovel | 28.72 | 30.95 | | bus | 91.72 | 96.58 | | towel | 72.61 | 84.99 | | light | 49.34 | 59.2 | | truck | 48.34 | 64.56 | | tower | 23.08 | 37.68 | | chandelier | 70.57 | 82.29 | | awning | 34.38 | 42.04 | | streetlight | 29.79 | 41.47 | | booth | 58.19 | 76.59 | | television receiver | 76.18 | 88.34 | | airplane | 84.87 | 92.28 | | dirt track | 22.13 | 44.71 | | apparel | 48.89 | 65.88 | | pole | 23.45 | 31.71 | | land | 3.91 | 4.82 | | bannister | 18.74 | 23.6 | | escalator | 64.39 | 78.05 | | ottoman | 53.6 | 71.69 | | bottle | 40.44 | 67.81 | | buffet | 41.68 | 45.09 | | poster | 39.11 | 48.69 | | stage | 15.17 | 28.49 | | van | 50.22 | 69.86 | | ship | 59.51 | 69.78 | | fountain | 20.38 | 20.44 | | conveyer belt | 80.87 | 94.37 | | canopy | 50.74 | 66.21 | | washer | 89.12 | 95.12 | | plaything | 33.75 | 47.38 | | swimming pool | 58.89 | 74.67 | | stool | 49.37 | 68.69 | | barrel | 30.9 | 82.66 | | basket | 44.29 | 55.94 | | waterfall | 50.46 | 60.21 | | tent | 95.97 | 98.76 | | bag | 17.46 | 18.38 | | minibike | 71.86 | 90.57 | | cradle | 83.68 | 97.85 | | oven | 66.11 | 79.78 | | ball | 61.27 | 71.7 | | food | 60.07 | 70.42 | | step | 12.91 | 15.68 | | tank | 62.62 | 66.31 | | trade name | 31.27 | 38.38 | | microwave | 90.4 | 95.28 | | pot | 59.62 | 68.16 | | animal | 71.09 | 73.07 | | bicycle | 60.84 | 78.42 | | lake | 54.7 | 63.76 | | dishwasher | 73.02 | 82.63 | | screen | 53.47 | 74.79 | | blanket | 27.99 | 39.09 | | sculpture | 70.78 | 88.75 | | hood | 61.42 | 71.79 | | sconce | 54.17 | 68.47 | | vase | 46.71 | 61.31 | | traffic light | 35.91 | 58.8 | | tray | 20.17 | 28.58 | | ashcan | 49.58 | 64.23 | | fan | 64.69 | 77.97 | | pier | 39.9 | 45.06 | | crt screen | 7.33 | 20.36 | | plate | 58.79 | 79.87 | | monitor | 18.54 | 21.41 | | bulletin board | 50.93 | 64.98 | | shower | 15.69 | 22.29 | | radiator | 66.69 | 79.16 | | glass | 20.85 | 22.63 | | clock | 50.18 | 61.13 | | flag | 66.12 | 76.52 | +---------------------+-------+-------+ 2023-11-02 19:20:38,093 - mmseg - INFO - Summary: 2023-11-02 19:20:38,093 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 85.66 | 55.97 | 68.45 | +-------+-------+-------+ 2023-11-02 19:20:38,094 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 19:20:38,094 - mmseg - INFO - Iter(val) [250] aAcc: 0.8566, mIoU: 0.5597, mAcc: 0.6845, IoU.wall: 0.8084, IoU.building: 0.8400, IoU.sky: 0.9439, IoU.floor: 0.8448, IoU.tree: 0.7619, IoU.ceiling: 0.8671, IoU.road: 0.8615, IoU.bed : 0.9237, IoU.windowpane: 0.6634, IoU.grass: 0.7034, IoU.cabinet: 0.6606, IoU.sidewalk: 0.7004, IoU.person: 0.8326, IoU.earth: 0.4074, IoU.door: 0.6048, IoU.table: 0.7057, IoU.mountain: 0.6131, IoU.plant: 0.5573, IoU.curtain: 0.7748, IoU.chair: 0.6332, IoU.car: 0.8665, IoU.water: 0.6124, IoU.painting: 0.7861, IoU.sofa: 0.8120, IoU.shelf: 0.4533, IoU.house: 0.4139, IoU.sea: 0.7138, IoU.mirror: 0.7712, IoU.rug: 0.6689, IoU.field: 0.3348, IoU.armchair: 0.6375, IoU.seat: 0.6509, IoU.fence: 0.4934, IoU.desk: 0.5718, IoU.rock: 0.5713, IoU.wardrobe: 0.5223, IoU.lamp: 0.7138, IoU.bathtub: 0.8694, IoU.railing: 0.4023, IoU.cushion: 0.6511, IoU.base: 0.3968, IoU.box: 0.3980, IoU.column: 0.5260, IoU.signboard: 0.3827, IoU.chest of drawers: 0.5184, IoU.counter: 0.4534, IoU.sand: 0.5982, IoU.sink: 0.7937, IoU.skyscraper: 0.4324, IoU.fireplace: 0.7214, IoU.refrigerator: 0.8806, IoU.grandstand: 0.5138, IoU.path: 0.2866, IoU.stairs: 0.2856, IoU.runway: 0.7012, IoU.case: 0.5896, IoU.pool table: 0.9402, IoU.pillow: 0.6173, IoU.screen door: 0.6792, IoU.stairway: 0.4244, IoU.river: 0.1217, IoU.bridge: 0.7548, IoU.bookcase: 0.3771, IoU.blind: 0.3964, IoU.coffee table: 0.6544, IoU.toilet: 0.8966, IoU.flower: 0.4151, IoU.book: 0.5093, IoU.hill: 0.1679, IoU.bench: 0.5345, IoU.countertop: 0.6522, IoU.stove: 0.8489, IoU.palm: 0.5151, IoU.kitchen island: 0.5100, IoU.computer: 0.7790, IoU.swivel chair: 0.4449, IoU.boat: 0.6871, IoU.bar: 0.6625, IoU.arcade machine: 0.5612, IoU.hovel: 0.2872, IoU.bus: 0.9172, IoU.towel: 0.7261, IoU.light: 0.4934, IoU.truck: 0.4834, IoU.tower: 0.2308, IoU.chandelier: 0.7057, IoU.awning: 0.3438, IoU.streetlight: 0.2979, IoU.booth: 0.5819, IoU.television receiver: 0.7618, IoU.airplane: 0.8487, IoU.dirt track: 0.2213, IoU.apparel: 0.4889, IoU.pole: 0.2345, IoU.land: 0.0391, IoU.bannister: 0.1874, IoU.escalator: 0.6439, IoU.ottoman: 0.5360, IoU.bottle: 0.4044, IoU.buffet: 0.4168, IoU.poster: 0.3911, IoU.stage: 0.1517, IoU.van: 0.5022, IoU.ship: 0.5951, IoU.fountain: 0.2038, IoU.conveyer belt: 0.8087, IoU.canopy: 0.5074, IoU.washer: 0.8912, IoU.plaything: 0.3375, IoU.swimming pool: 0.5889, IoU.stool: 0.4937, IoU.barrel: 0.3090, IoU.basket: 0.4429, IoU.waterfall: 0.5046, IoU.tent: 0.9597, IoU.bag: 0.1746, IoU.minibike: 0.7186, IoU.cradle: 0.8368, IoU.oven: 0.6611, IoU.ball: 0.6127, IoU.food: 0.6007, IoU.step: 0.1291, IoU.tank: 0.6262, IoU.trade name: 0.3127, IoU.microwave: 0.9040, IoU.pot: 0.5962, IoU.animal: 0.7109, IoU.bicycle: 0.6084, IoU.lake: 0.5470, IoU.dishwasher: 0.7302, IoU.screen: 0.5347, IoU.blanket: 0.2799, IoU.sculpture: 0.7078, IoU.hood: 0.6142, IoU.sconce: 0.5417, IoU.vase: 0.4671, IoU.traffic light: 0.3591, IoU.tray: 0.2017, IoU.ashcan: 0.4958, IoU.fan: 0.6469, IoU.pier: 0.3990, IoU.crt screen: 0.0733, IoU.plate: 0.5879, IoU.monitor: 0.1854, IoU.bulletin board: 0.5093, IoU.shower: 0.1569, IoU.radiator: 0.6669, IoU.glass: 0.2085, IoU.clock: 0.5018, IoU.flag: 0.6612, Acc.wall: 0.8963, Acc.building: 0.9391, Acc.sky: 0.9745, Acc.floor: 0.9130, Acc.tree: 0.8828, Acc.ceiling: 0.9340, Acc.road: 0.9238, Acc.bed : 0.9701, Acc.windowpane: 0.8139, Acc.grass: 0.8187, Acc.cabinet: 0.7715, Acc.sidewalk: 0.8296, Acc.person: 0.9288, Acc.earth: 0.5398, Acc.door: 0.7745, Acc.table: 0.8148, Acc.mountain: 0.7447, Acc.plant: 0.7130, Acc.curtain: 0.8834, Acc.chair: 0.7353, Acc.car: 0.9314, Acc.water: 0.7830, Acc.painting: 0.8972, Acc.sofa: 0.9129, Acc.shelf: 0.5766, Acc.house: 0.4838, Acc.sea: 0.8363, Acc.mirror: 0.8586, Acc.rug: 0.7937, Acc.field: 0.5254, Acc.armchair: 0.8108, Acc.seat: 0.8826, Acc.fence: 0.6832, Acc.desk: 0.7467, Acc.rock: 0.8684, Acc.wardrobe: 0.6780, Acc.lamp: 0.8318, Acc.bathtub: 0.9010, Acc.railing: 0.5747, Acc.cushion: 0.7980, Acc.base: 0.5129, Acc.box: 0.4552, Acc.column: 0.6654, Acc.signboard: 0.4974, Acc.chest of drawers: 0.7658, Acc.counter: 0.6123, Acc.sand: 0.8685, Acc.sink: 0.8725, Acc.skyscraper: 0.5436, Acc.fireplace: 0.9139, Acc.refrigerator: 0.9279, Acc.grandstand: 0.8181, Acc.path: 0.3842, Acc.stairs: 0.3697, Acc.runway: 0.9123, Acc.case: 0.8095, Acc.pool table: 0.9785, Acc.pillow: 0.7091, Acc.screen door: 0.6873, Acc.stairway: 0.5890, Acc.river: 0.2561, Acc.bridge: 0.8639, Acc.bookcase: 0.5347, Acc.blind: 0.4488, Acc.coffee table: 0.8320, Acc.toilet: 0.9320, Acc.flower: 0.6100, Acc.book: 0.7496, Acc.hill: 0.2089, Acc.bench: 0.6107, Acc.countertop: 0.7801, Acc.stove: 0.9099, Acc.palm: 0.8345, Acc.kitchen island: 0.8049, Acc.computer: 0.8830, Acc.swivel chair: 0.6692, Acc.boat: 0.7929, Acc.bar: 0.8146, Acc.arcade machine: 0.5857, Acc.hovel: 0.3095, Acc.bus: 0.9658, Acc.towel: 0.8499, Acc.light: 0.5920, Acc.truck: 0.6456, Acc.tower: 0.3768, Acc.chandelier: 0.8229, Acc.awning: 0.4204, Acc.streetlight: 0.4147, Acc.booth: 0.7659, Acc.television receiver: 0.8834, Acc.airplane: 0.9228, Acc.dirt track: 0.4471, Acc.apparel: 0.6588, Acc.pole: 0.3171, Acc.land: 0.0482, Acc.bannister: 0.2360, Acc.escalator: 0.7805, Acc.ottoman: 0.7169, Acc.bottle: 0.6781, Acc.buffet: 0.4509, Acc.poster: 0.4869, Acc.stage: 0.2849, Acc.van: 0.6986, Acc.ship: 0.6978, Acc.fountain: 0.2044, Acc.conveyer belt: 0.9437, Acc.canopy: 0.6621, Acc.washer: 0.9512, Acc.plaything: 0.4738, Acc.swimming pool: 0.7467, Acc.stool: 0.6869, Acc.barrel: 0.8266, Acc.basket: 0.5594, Acc.waterfall: 0.6021, Acc.tent: 0.9876, Acc.bag: 0.1838, Acc.minibike: 0.9057, Acc.cradle: 0.9785, Acc.oven: 0.7978, Acc.ball: 0.7170, Acc.food: 0.7042, Acc.step: 0.1568, Acc.tank: 0.6631, Acc.trade name: 0.3838, Acc.microwave: 0.9528, Acc.pot: 0.6816, Acc.animal: 0.7307, Acc.bicycle: 0.7842, Acc.lake: 0.6376, Acc.dishwasher: 0.8263, Acc.screen: 0.7479, Acc.blanket: 0.3909, Acc.sculpture: 0.8875, Acc.hood: 0.7179, Acc.sconce: 0.6847, Acc.vase: 0.6131, Acc.traffic light: 0.5880, Acc.tray: 0.2858, Acc.ashcan: 0.6423, Acc.fan: 0.7797, Acc.pier: 0.4506, Acc.crt screen: 0.2036, Acc.plate: 0.7987, Acc.monitor: 0.2141, Acc.bulletin board: 0.6498, Acc.shower: 0.2229, Acc.radiator: 0.7916, Acc.glass: 0.2263, Acc.clock: 0.6113, Acc.flag: 0.7652 2023-11-02 19:21:38,965 - mmseg - INFO - Iter [47050/80000] lr: 1.334e-06, eta: 12:11:59, time: 2.482, data_time: 1.272, memory: 38534, decode.loss_ce: 0.1709, decode.acc_seg: 92.8502, loss: 0.1709 2023-11-02 19:22:39,761 - mmseg - INFO - Iter [47100/80000] lr: 1.332e-06, eta: 12:10:48, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1684, decode.acc_seg: 92.9733, loss: 0.1684 2023-11-02 19:23:40,548 - mmseg - INFO - Iter [47150/80000] lr: 1.330e-06, eta: 12:09:38, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1764, decode.acc_seg: 92.5463, loss: 0.1764 2023-11-02 19:24:41,328 - mmseg - INFO - Iter [47200/80000] lr: 1.328e-06, eta: 12:08:27, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1753, decode.acc_seg: 92.6148, loss: 0.1753 2023-11-02 19:25:42,126 - mmseg - INFO - Iter [47250/80000] lr: 1.326e-06, eta: 12:07:16, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1723, decode.acc_seg: 92.5828, loss: 0.1723 2023-11-02 19:26:42,956 - mmseg - INFO - Iter [47300/80000] lr: 1.324e-06, eta: 12:06:06, time: 1.217, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1819, decode.acc_seg: 92.2689, loss: 0.1819 2023-11-02 19:27:43,812 - mmseg - INFO - Iter [47350/80000] lr: 1.322e-06, eta: 12:04:55, time: 1.217, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1782, decode.acc_seg: 92.5348, loss: 0.1782 2023-11-02 19:28:44,587 - mmseg - INFO - Iter [47400/80000] lr: 1.320e-06, eta: 12:03:44, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1676, decode.acc_seg: 92.8174, loss: 0.1676 2023-11-02 19:29:45,397 - mmseg - INFO - Iter [47450/80000] lr: 1.318e-06, eta: 12:02:34, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1716, decode.acc_seg: 92.7273, loss: 0.1716 2023-11-02 19:30:46,154 - mmseg - INFO - Iter [47500/80000] lr: 1.316e-06, eta: 12:01:23, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1699, decode.acc_seg: 92.7408, loss: 0.1699 2023-11-02 19:31:46,952 - mmseg - INFO - Iter [47550/80000] lr: 1.314e-06, eta: 12:00:13, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1734, decode.acc_seg: 92.5241, loss: 0.1734 2023-11-02 19:32:47,740 - mmseg - INFO - Iter [47600/80000] lr: 1.312e-06, eta: 11:59:02, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1713, decode.acc_seg: 92.5694, loss: 0.1713 2023-11-02 19:33:48,523 - mmseg - INFO - Iter [47650/80000] lr: 1.310e-06, eta: 11:57:52, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1764, decode.acc_seg: 92.5838, loss: 0.1764 2023-11-02 19:34:49,319 - mmseg - INFO - Iter [47700/80000] lr: 1.308e-06, eta: 11:56:41, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1712, decode.acc_seg: 92.6442, loss: 0.1712 2023-11-02 19:35:50,087 - mmseg - INFO - Iter [47750/80000] lr: 1.306e-06, eta: 11:55:31, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1790, decode.acc_seg: 92.3602, loss: 0.1790 2023-11-02 19:36:50,836 - mmseg - INFO - Iter [47800/80000] lr: 1.304e-06, eta: 11:54:20, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1809, decode.acc_seg: 92.4769, loss: 0.1809 2023-11-02 19:37:51,655 - mmseg - INFO - Iter [47850/80000] lr: 1.302e-06, eta: 11:53:10, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1730, decode.acc_seg: 92.5415, loss: 0.1730 2023-11-02 19:38:52,454 - mmseg - INFO - Iter [47900/80000] lr: 1.300e-06, eta: 11:51:59, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1773, decode.acc_seg: 92.2612, loss: 0.1773 2023-11-02 19:39:53,262 - mmseg - INFO - Iter [47950/80000] lr: 1.298e-06, eta: 11:50:49, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1786, decode.acc_seg: 92.2272, loss: 0.1786 2023-11-02 19:40:56,443 - mmseg - INFO - Saving checkpoint at 48000 iterations 2023-11-02 19:41:50,866 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 19:41:50,866 - mmseg - INFO - Iter [48000/80000] lr: 1.296e-06, eta: 11:50:17, time: 2.352, data_time: 0.052, memory: 38534, decode.loss_ce: 0.1705, decode.acc_seg: 92.7727, loss: 0.1705 2023-11-02 19:42:48,906 - mmseg - INFO - per class results: 2023-11-02 19:42:48,912 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 80.94 | 89.67 | | building | 84.0 | 93.99 | | sky | 94.53 | 97.58 | | floor | 84.33 | 91.32 | | tree | 76.26 | 89.9 | | ceiling | 86.28 | 94.5 | | road | 86.12 | 92.48 | | bed | 91.75 | 97.42 | | windowpane | 65.76 | 80.87 | | grass | 70.39 | 83.76 | | cabinet | 66.55 | 74.98 | | sidewalk | 70.65 | 83.34 | | person | 83.26 | 91.98 | | earth | 41.07 | 53.11 | | door | 61.31 | 77.43 | | table | 70.0 | 82.3 | | mountain | 63.36 | 78.02 | | plant | 54.18 | 65.21 | | curtain | 78.32 | 88.96 | | chair | 63.41 | 74.69 | | car | 86.43 | 93.76 | | water | 61.35 | 78.3 | | painting | 79.21 | 89.25 | | sofa | 80.07 | 87.14 | | shelf | 47.85 | 63.9 | | house | 45.47 | 55.13 | | sea | 70.91 | 87.68 | | mirror | 77.25 | 86.52 | | rug | 65.09 | 74.82 | | field | 36.12 | 59.57 | | armchair | 63.79 | 82.81 | | seat | 64.12 | 87.92 | | fence | 48.1 | 59.44 | | desk | 58.31 | 76.29 | | rock | 57.39 | 83.71 | | wardrobe | 56.76 | 75.24 | | lamp | 70.89 | 83.22 | | bathtub | 87.98 | 91.4 | | railing | 42.37 | 63.24 | | cushion | 66.01 | 82.52 | | base | 38.37 | 52.26 | | box | 41.46 | 47.63 | | column | 51.9 | 64.78 | | signboard | 39.07 | 49.37 | | chest of drawers | 46.11 | 67.15 | | counter | 45.87 | 56.06 | | sand | 60.37 | 84.22 | | sink | 81.55 | 87.69 | | skyscraper | 44.56 | 57.09 | | fireplace | 73.48 | 90.11 | | refrigerator | 85.72 | 95.22 | | grandstand | 63.57 | 82.29 | | path | 30.04 | 40.71 | | stairs | 22.42 | 25.44 | | runway | 71.38 | 91.57 | | case | 57.64 | 82.15 | | pool table | 94.13 | 97.41 | | pillow | 59.09 | 66.43 | | screen door | 69.19 | 70.1 | | stairway | 29.37 | 54.07 | | river | 13.07 | 19.44 | | bridge | 73.7 | 83.12 | | bookcase | 40.33 | 58.06 | | blind | 37.68 | 41.85 | | coffee table | 64.0 | 83.17 | | toilet | 89.88 | 92.98 | | flower | 40.64 | 59.81 | | book | 51.43 | 72.38 | | hill | 10.17 | 12.41 | | bench | 51.44 | 59.15 | | countertop | 62.07 | 82.68 | | stove | 84.81 | 89.97 | | palm | 52.09 | 75.73 | | kitchen island | 46.05 | 74.86 | | computer | 78.37 | 87.45 | | swivel chair | 43.68 | 66.63 | | boat | 56.19 | 63.51 | | bar | 64.6 | 78.89 | | arcade machine | 50.49 | 51.75 | | hovel | 22.6 | 23.93 | | bus | 92.36 | 96.71 | | towel | 73.25 | 84.54 | | light | 46.95 | 52.73 | | truck | 51.01 | 63.09 | | tower | 22.4 | 34.97 | | chandelier | 70.61 | 83.68 | | awning | 33.0 | 39.64 | | streetlight | 26.9 | 34.86 | | booth | 59.55 | 69.07 | | television receiver | 77.1 | 87.79 | | airplane | 79.75 | 84.61 | | dirt track | 20.7 | 30.31 | | apparel | 47.28 | 61.49 | | pole | 21.03 | 27.26 | | land | 4.54 | 5.57 | | bannister | 18.24 | 22.49 | | escalator | 66.44 | 83.11 | | ottoman | 53.66 | 74.69 | | bottle | 41.66 | 60.89 | | buffet | 57.54 | 65.46 | | poster | 32.4 | 37.78 | | stage | 18.63 | 47.83 | | van | 49.5 | 66.4 | | ship | 58.06 | 77.0 | | fountain | 20.16 | 20.2 | | conveyer belt | 80.04 | 94.29 | | canopy | 53.04 | 68.76 | | washer | 86.91 | 92.51 | | plaything | 33.69 | 47.33 | | swimming pool | 52.93 | 73.43 | | stool | 51.16 | 67.94 | | barrel | 58.94 | 85.25 | | basket | 41.66 | 54.23 | | waterfall | 47.65 | 58.71 | | tent | 96.74 | 98.39 | | bag | 26.86 | 30.76 | | minibike | 73.98 | 84.91 | | cradle | 83.97 | 97.11 | | oven | 64.2 | 77.6 | | ball | 61.02 | 72.67 | | food | 58.57 | 68.32 | | step | 12.69 | 15.3 | | tank | 63.13 | 66.29 | | trade name | 29.58 | 33.36 | | microwave | 90.62 | 94.43 | | pot | 58.69 | 66.54 | | animal | 69.3 | 71.04 | | bicycle | 59.44 | 73.96 | | lake | 53.07 | 63.77 | | dishwasher | 72.7 | 81.31 | | screen | 61.81 | 92.76 | | blanket | 28.38 | 32.72 | | sculpture | 73.14 | 87.09 | | hood | 62.18 | 74.09 | | sconce | 54.57 | 69.31 | | vase | 47.03 | 61.53 | | traffic light | 34.0 | 53.37 | | tray | 20.11 | 27.16 | | ashcan | 50.39 | 64.6 | | fan | 64.4 | 76.6 | | pier | 40.46 | 43.22 | | crt screen | 1.51 | 3.5 | | plate | 61.43 | 74.17 | | monitor | 19.98 | 23.34 | | bulletin board | 55.27 | 66.63 | | shower | 10.01 | 16.41 | | radiator | 65.6 | 77.8 | | glass | 19.17 | 20.71 | | clock | 49.34 | 58.38 | | flag | 66.87 | 72.67 | +---------------------+-------+-------+ 2023-11-02 19:42:48,912 - mmseg - INFO - Summary: 2023-11-02 19:42:48,912 - mmseg - INFO - +-------+------+-------+ | aAcc | mIoU | mAcc | +-------+------+-------+ | 85.74 | 55.9 | 67.53 | +-------+------+-------+ 2023-11-02 19:42:48,913 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 19:42:48,913 - mmseg - INFO - Iter(val) [250] aAcc: 0.8574, mIoU: 0.5590, mAcc: 0.6753, IoU.wall: 0.8094, IoU.building: 0.8400, IoU.sky: 0.9453, IoU.floor: 0.8433, IoU.tree: 0.7626, IoU.ceiling: 0.8628, IoU.road: 0.8612, IoU.bed : 0.9175, IoU.windowpane: 0.6576, IoU.grass: 0.7039, IoU.cabinet: 0.6655, IoU.sidewalk: 0.7065, IoU.person: 0.8326, IoU.earth: 0.4107, IoU.door: 0.6131, IoU.table: 0.7000, IoU.mountain: 0.6336, IoU.plant: 0.5418, IoU.curtain: 0.7832, IoU.chair: 0.6341, IoU.car: 0.8643, IoU.water: 0.6135, IoU.painting: 0.7921, IoU.sofa: 0.8007, IoU.shelf: 0.4785, IoU.house: 0.4547, IoU.sea: 0.7091, IoU.mirror: 0.7725, IoU.rug: 0.6509, IoU.field: 0.3612, IoU.armchair: 0.6379, IoU.seat: 0.6412, IoU.fence: 0.4810, IoU.desk: 0.5831, IoU.rock: 0.5739, IoU.wardrobe: 0.5676, IoU.lamp: 0.7089, IoU.bathtub: 0.8798, IoU.railing: 0.4237, IoU.cushion: 0.6601, IoU.base: 0.3837, IoU.box: 0.4146, IoU.column: 0.5190, IoU.signboard: 0.3907, IoU.chest of drawers: 0.4611, IoU.counter: 0.4587, IoU.sand: 0.6037, IoU.sink: 0.8155, IoU.skyscraper: 0.4456, IoU.fireplace: 0.7348, IoU.refrigerator: 0.8572, IoU.grandstand: 0.6357, IoU.path: 0.3004, IoU.stairs: 0.2242, IoU.runway: 0.7138, IoU.case: 0.5764, IoU.pool table: 0.9413, IoU.pillow: 0.5909, IoU.screen door: 0.6919, IoU.stairway: 0.2937, IoU.river: 0.1307, IoU.bridge: 0.7370, IoU.bookcase: 0.4033, IoU.blind: 0.3768, IoU.coffee table: 0.6400, IoU.toilet: 0.8988, IoU.flower: 0.4064, IoU.book: 0.5143, IoU.hill: 0.1017, IoU.bench: 0.5144, IoU.countertop: 0.6207, IoU.stove: 0.8481, IoU.palm: 0.5209, IoU.kitchen island: 0.4605, IoU.computer: 0.7837, IoU.swivel chair: 0.4368, IoU.boat: 0.5619, IoU.bar: 0.6460, IoU.arcade machine: 0.5049, IoU.hovel: 0.2260, IoU.bus: 0.9236, IoU.towel: 0.7325, IoU.light: 0.4695, IoU.truck: 0.5101, IoU.tower: 0.2240, IoU.chandelier: 0.7061, IoU.awning: 0.3300, IoU.streetlight: 0.2690, IoU.booth: 0.5955, IoU.television receiver: 0.7710, IoU.airplane: 0.7975, IoU.dirt track: 0.2070, IoU.apparel: 0.4728, IoU.pole: 0.2103, IoU.land: 0.0454, IoU.bannister: 0.1824, IoU.escalator: 0.6644, IoU.ottoman: 0.5366, IoU.bottle: 0.4166, IoU.buffet: 0.5754, IoU.poster: 0.3240, IoU.stage: 0.1863, IoU.van: 0.4950, IoU.ship: 0.5806, IoU.fountain: 0.2016, IoU.conveyer belt: 0.8004, IoU.canopy: 0.5304, IoU.washer: 0.8691, IoU.plaything: 0.3369, IoU.swimming pool: 0.5293, IoU.stool: 0.5116, IoU.barrel: 0.5894, IoU.basket: 0.4166, IoU.waterfall: 0.4765, IoU.tent: 0.9674, IoU.bag: 0.2686, IoU.minibike: 0.7398, IoU.cradle: 0.8397, IoU.oven: 0.6420, IoU.ball: 0.6102, IoU.food: 0.5857, IoU.step: 0.1269, IoU.tank: 0.6313, IoU.trade name: 0.2958, IoU.microwave: 0.9062, IoU.pot: 0.5869, IoU.animal: 0.6930, IoU.bicycle: 0.5944, IoU.lake: 0.5307, IoU.dishwasher: 0.7270, IoU.screen: 0.6181, IoU.blanket: 0.2838, IoU.sculpture: 0.7314, IoU.hood: 0.6218, IoU.sconce: 0.5457, IoU.vase: 0.4703, IoU.traffic light: 0.3400, IoU.tray: 0.2011, IoU.ashcan: 0.5039, IoU.fan: 0.6440, IoU.pier: 0.4046, IoU.crt screen: 0.0151, IoU.plate: 0.6143, IoU.monitor: 0.1998, IoU.bulletin board: 0.5527, IoU.shower: 0.1001, IoU.radiator: 0.6560, IoU.glass: 0.1917, IoU.clock: 0.4934, IoU.flag: 0.6687, Acc.wall: 0.8967, Acc.building: 0.9399, Acc.sky: 0.9758, Acc.floor: 0.9132, Acc.tree: 0.8990, Acc.ceiling: 0.9450, Acc.road: 0.9248, Acc.bed : 0.9742, Acc.windowpane: 0.8087, Acc.grass: 0.8376, Acc.cabinet: 0.7498, Acc.sidewalk: 0.8334, Acc.person: 0.9198, Acc.earth: 0.5311, Acc.door: 0.7743, Acc.table: 0.8230, Acc.mountain: 0.7802, Acc.plant: 0.6521, Acc.curtain: 0.8896, Acc.chair: 0.7469, Acc.car: 0.9376, Acc.water: 0.7830, Acc.painting: 0.8925, Acc.sofa: 0.8714, Acc.shelf: 0.6390, Acc.house: 0.5513, Acc.sea: 0.8768, Acc.mirror: 0.8652, Acc.rug: 0.7482, Acc.field: 0.5957, Acc.armchair: 0.8281, Acc.seat: 0.8792, Acc.fence: 0.5944, Acc.desk: 0.7629, Acc.rock: 0.8371, Acc.wardrobe: 0.7524, Acc.lamp: 0.8322, Acc.bathtub: 0.9140, Acc.railing: 0.6324, Acc.cushion: 0.8252, Acc.base: 0.5226, Acc.box: 0.4763, Acc.column: 0.6478, Acc.signboard: 0.4937, Acc.chest of drawers: 0.6715, Acc.counter: 0.5606, Acc.sand: 0.8422, Acc.sink: 0.8769, Acc.skyscraper: 0.5709, Acc.fireplace: 0.9011, Acc.refrigerator: 0.9522, Acc.grandstand: 0.8229, Acc.path: 0.4071, Acc.stairs: 0.2544, Acc.runway: 0.9157, Acc.case: 0.8215, Acc.pool table: 0.9741, Acc.pillow: 0.6643, Acc.screen door: 0.7010, Acc.stairway: 0.5407, Acc.river: 0.1944, Acc.bridge: 0.8312, Acc.bookcase: 0.5806, Acc.blind: 0.4185, Acc.coffee table: 0.8317, Acc.toilet: 0.9298, Acc.flower: 0.5981, Acc.book: 0.7238, Acc.hill: 0.1241, Acc.bench: 0.5915, Acc.countertop: 0.8268, Acc.stove: 0.8997, Acc.palm: 0.7573, Acc.kitchen island: 0.7486, Acc.computer: 0.8745, Acc.swivel chair: 0.6663, Acc.boat: 0.6351, Acc.bar: 0.7889, Acc.arcade machine: 0.5175, Acc.hovel: 0.2393, Acc.bus: 0.9671, Acc.towel: 0.8454, Acc.light: 0.5273, Acc.truck: 0.6309, Acc.tower: 0.3497, Acc.chandelier: 0.8368, Acc.awning: 0.3964, Acc.streetlight: 0.3486, Acc.booth: 0.6907, Acc.television receiver: 0.8779, Acc.airplane: 0.8461, Acc.dirt track: 0.3031, Acc.apparel: 0.6149, Acc.pole: 0.2726, Acc.land: 0.0557, Acc.bannister: 0.2249, Acc.escalator: 0.8311, Acc.ottoman: 0.7469, Acc.bottle: 0.6089, Acc.buffet: 0.6546, Acc.poster: 0.3778, Acc.stage: 0.4783, Acc.van: 0.6640, Acc.ship: 0.7700, Acc.fountain: 0.2020, Acc.conveyer belt: 0.9429, Acc.canopy: 0.6876, Acc.washer: 0.9251, Acc.plaything: 0.4733, Acc.swimming pool: 0.7343, Acc.stool: 0.6794, Acc.barrel: 0.8525, Acc.basket: 0.5423, Acc.waterfall: 0.5871, Acc.tent: 0.9839, Acc.bag: 0.3076, Acc.minibike: 0.8491, Acc.cradle: 0.9711, Acc.oven: 0.7760, Acc.ball: 0.7267, Acc.food: 0.6832, Acc.step: 0.1530, Acc.tank: 0.6629, Acc.trade name: 0.3336, Acc.microwave: 0.9443, Acc.pot: 0.6654, Acc.animal: 0.7104, Acc.bicycle: 0.7396, Acc.lake: 0.6377, Acc.dishwasher: 0.8131, Acc.screen: 0.9276, Acc.blanket: 0.3272, Acc.sculpture: 0.8709, Acc.hood: 0.7409, Acc.sconce: 0.6931, Acc.vase: 0.6153, Acc.traffic light: 0.5337, Acc.tray: 0.2716, Acc.ashcan: 0.6460, Acc.fan: 0.7660, Acc.pier: 0.4322, Acc.crt screen: 0.0350, Acc.plate: 0.7417, Acc.monitor: 0.2334, Acc.bulletin board: 0.6663, Acc.shower: 0.1641, Acc.radiator: 0.7780, Acc.glass: 0.2071, Acc.clock: 0.5838, Acc.flag: 0.7267 2023-11-02 19:43:49,750 - mmseg - INFO - Iter [48050/80000] lr: 1.294e-06, eta: 11:49:45, time: 2.378, data_time: 1.168, memory: 38534, decode.loss_ce: 0.1695, decode.acc_seg: 92.8777, loss: 0.1695 2023-11-02 19:44:50,523 - mmseg - INFO - Iter [48100/80000] lr: 1.292e-06, eta: 11:48:34, time: 1.215, data_time: 0.008, memory: 38534, decode.loss_ce: 0.1665, decode.acc_seg: 92.9011, loss: 0.1665 2023-11-02 19:45:51,269 - mmseg - INFO - Iter [48150/80000] lr: 1.290e-06, eta: 11:47:24, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1744, decode.acc_seg: 92.7372, loss: 0.1744 2023-11-02 19:46:52,030 - mmseg - INFO - Iter [48200/80000] lr: 1.288e-06, eta: 11:46:13, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1625, decode.acc_seg: 93.0907, loss: 0.1625 2023-11-02 19:47:52,782 - mmseg - INFO - Iter [48250/80000] lr: 1.286e-06, eta: 11:45:03, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1639, decode.acc_seg: 93.1003, loss: 0.1639 2023-11-02 19:48:53,525 - mmseg - INFO - Iter [48300/80000] lr: 1.284e-06, eta: 11:43:52, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1612, decode.acc_seg: 93.0877, loss: 0.1612 2023-11-02 19:49:54,266 - mmseg - INFO - Iter [48350/80000] lr: 1.282e-06, eta: 11:42:42, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1687, decode.acc_seg: 92.7913, loss: 0.1687 2023-11-02 19:50:55,043 - mmseg - INFO - Iter [48400/80000] lr: 1.280e-06, eta: 11:41:31, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1662, decode.acc_seg: 92.8854, loss: 0.1662 2023-11-02 19:51:55,795 - mmseg - INFO - Iter [48450/80000] lr: 1.278e-06, eta: 11:40:21, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1665, decode.acc_seg: 92.8674, loss: 0.1665 2023-11-02 19:52:56,576 - mmseg - INFO - Iter [48500/80000] lr: 1.276e-06, eta: 11:39:10, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1714, decode.acc_seg: 92.5903, loss: 0.1714 2023-11-02 19:53:57,298 - mmseg - INFO - Iter [48550/80000] lr: 1.274e-06, eta: 11:38:00, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1673, decode.acc_seg: 92.9745, loss: 0.1673 2023-11-02 19:54:57,908 - mmseg - INFO - Iter [48600/80000] lr: 1.272e-06, eta: 11:36:50, time: 1.212, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1650, decode.acc_seg: 92.8480, loss: 0.1650 2023-11-02 19:55:58,556 - mmseg - INFO - Iter [48650/80000] lr: 1.270e-06, eta: 11:35:39, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1644, decode.acc_seg: 92.8413, loss: 0.1644 2023-11-02 19:56:59,191 - mmseg - INFO - Iter [48700/80000] lr: 1.268e-06, eta: 11:34:29, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1617, decode.acc_seg: 93.1766, loss: 0.1617 2023-11-02 19:57:59,844 - mmseg - INFO - Iter [48750/80000] lr: 1.266e-06, eta: 11:33:19, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1778, decode.acc_seg: 92.3427, loss: 0.1778 2023-11-02 19:59:00,505 - mmseg - INFO - Iter [48800/80000] lr: 1.264e-06, eta: 11:32:08, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1757, decode.acc_seg: 92.5962, loss: 0.1757 2023-11-02 20:00:01,166 - mmseg - INFO - Iter [48850/80000] lr: 1.262e-06, eta: 11:30:58, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1738, decode.acc_seg: 92.6281, loss: 0.1738 2023-11-02 20:01:01,855 - mmseg - INFO - Iter [48900/80000] lr: 1.260e-06, eta: 11:29:48, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1723, decode.acc_seg: 92.6951, loss: 0.1723 2023-11-02 20:02:02,572 - mmseg - INFO - Iter [48950/80000] lr: 1.257e-06, eta: 11:28:37, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1799, decode.acc_seg: 92.5419, loss: 0.1799 2023-11-02 20:03:03,371 - mmseg - INFO - Saving checkpoint at 49000 iterations 2023-11-02 20:03:56,242 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 20:03:56,243 - mmseg - INFO - Iter [49000/80000] lr: 1.255e-06, eta: 11:28:01, time: 2.273, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1687, decode.acc_seg: 92.7254, loss: 0.1687 2023-11-02 20:04:55,644 - mmseg - INFO - per class results: 2023-11-02 20:04:55,649 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 81.17 | 89.77 | | building | 84.77 | 93.1 | | sky | 94.55 | 97.24 | | floor | 84.32 | 91.57 | | tree | 76.72 | 90.27 | | ceiling | 86.34 | 93.9 | | road | 86.2 | 91.92 | | bed | 91.98 | 97.28 | | windowpane | 66.41 | 83.33 | | grass | 69.38 | 81.53 | | cabinet | 66.67 | 75.82 | | sidewalk | 70.39 | 83.07 | | person | 83.46 | 92.58 | | earth | 39.23 | 52.11 | | door | 60.55 | 74.7 | | table | 69.28 | 83.06 | | mountain | 63.31 | 76.31 | | plant | 54.45 | 66.38 | | curtain | 77.35 | 89.29 | | chair | 62.65 | 73.15 | | car | 86.85 | 93.01 | | water | 62.83 | 79.69 | | painting | 79.72 | 89.08 | | sofa | 80.0 | 87.54 | | shelf | 47.55 | 67.55 | | house | 52.86 | 66.4 | | sea | 73.04 | 84.46 | | mirror | 76.7 | 86.81 | | rug | 64.88 | 76.61 | | field | 35.05 | 59.59 | | armchair | 61.22 | 79.12 | | seat | 64.52 | 87.16 | | fence | 50.52 | 67.25 | | desk | 60.3 | 76.52 | | rock | 57.34 | 87.07 | | wardrobe | 55.31 | 73.94 | | lamp | 70.75 | 83.36 | | bathtub | 88.24 | 91.81 | | railing | 40.24 | 56.89 | | cushion | 65.93 | 80.24 | | base | 36.63 | 47.38 | | box | 39.36 | 45.17 | | column | 50.89 | 62.5 | | signboard | 39.52 | 55.45 | | chest of drawers | 44.24 | 62.95 | | counter | 46.55 | 59.24 | | sand | 59.38 | 85.47 | | sink | 79.55 | 83.84 | | skyscraper | 53.91 | 73.41 | | fireplace | 73.99 | 91.96 | | refrigerator | 86.27 | 93.66 | | grandstand | 52.17 | 81.09 | | path | 32.93 | 43.35 | | stairs | 26.79 | 33.47 | | runway | 73.46 | 94.41 | | case | 59.19 | 79.21 | | pool table | 94.25 | 97.6 | | pillow | 61.0 | 70.05 | | screen door | 73.06 | 74.53 | | stairway | 37.69 | 53.56 | | river | 9.43 | 18.44 | | bridge | 75.96 | 87.19 | | bookcase | 43.3 | 60.67 | | blind | 38.26 | 40.82 | | coffee table | 64.11 | 83.56 | | toilet | 90.12 | 93.22 | | flower | 40.72 | 59.9 | | book | 51.78 | 70.03 | | hill | 17.94 | 22.78 | | bench | 53.16 | 61.04 | | countertop | 66.68 | 82.68 | | stove | 85.4 | 90.81 | | palm | 52.6 | 78.16 | | kitchen island | 47.41 | 73.85 | | computer | 78.2 | 88.09 | | swivel chair | 46.42 | 74.39 | | boat | 79.21 | 89.57 | | bar | 64.0 | 81.38 | | arcade machine | 62.84 | 64.92 | | hovel | 32.92 | 38.24 | | bus | 92.7 | 96.24 | | towel | 73.55 | 82.96 | | light | 47.2 | 53.67 | | truck | 50.7 | 60.39 | | tower | 27.86 | 41.37 | | chandelier | 70.64 | 84.55 | | awning | 33.94 | 46.09 | | streetlight | 28.32 | 37.96 | | booth | 65.28 | 78.63 | | television receiver | 77.44 | 87.08 | | airplane | 72.47 | 78.18 | | dirt track | 12.35 | 39.22 | | apparel | 43.73 | 58.56 | | pole | 21.64 | 32.19 | | land | 5.46 | 7.01 | | bannister | 17.95 | 22.56 | | escalator | 64.48 | 80.95 | | ottoman | 54.2 | 76.65 | | bottle | 41.19 | 68.66 | | buffet | 66.99 | 84.18 | | poster | 31.32 | 37.75 | | stage | 13.48 | 24.53 | | van | 50.71 | 70.72 | | ship | 69.82 | 72.95 | | fountain | 20.99 | 21.11 | | conveyer belt | 79.51 | 94.23 | | canopy | 53.66 | 67.15 | | washer | 88.19 | 93.34 | | plaything | 31.12 | 47.89 | | swimming pool | 63.57 | 73.71 | | stool | 51.07 | 67.85 | | barrel | 58.49 | 84.3 | | basket | 44.04 | 60.67 | | waterfall | 48.42 | 58.38 | | tent | 96.11 | 98.72 | | bag | 22.56 | 25.8 | | minibike | 74.02 | 85.66 | | cradle | 83.0 | 96.69 | | oven | 63.12 | 76.12 | | ball | 61.55 | 70.97 | | food | 60.4 | 72.37 | | step | 11.51 | 13.25 | | tank | 63.01 | 66.01 | | trade name | 28.96 | 33.34 | | microwave | 90.24 | 94.49 | | pot | 57.56 | 65.39 | | animal | 72.69 | 75.03 | | bicycle | 57.44 | 68.96 | | lake | 53.41 | 63.77 | | dishwasher | 73.54 | 81.84 | | screen | 54.78 | 73.21 | | blanket | 24.04 | 29.16 | | sculpture | 73.51 | 87.12 | | hood | 61.18 | 72.08 | | sconce | 55.21 | 68.7 | | vase | 46.65 | 61.35 | | traffic light | 36.08 | 59.39 | | tray | 20.06 | 27.39 | | ashcan | 49.89 | 66.7 | | fan | 63.93 | 74.58 | | pier | 40.28 | 43.64 | | crt screen | 10.62 | 32.69 | | plate | 60.56 | 75.8 | | monitor | 11.61 | 13.23 | | bulletin board | 52.7 | 61.75 | | shower | 14.65 | 20.87 | | radiator | 65.1 | 78.83 | | glass | 18.97 | 20.41 | | clock | 50.53 | 61.19 | | flag | 67.82 | 74.39 | +---------------------+-------+-------+ 2023-11-02 20:04:55,649 - mmseg - INFO - Summary: 2023-11-02 20:04:55,649 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 85.82 | 56.56 | 68.54 | +-------+-------+-------+ 2023-11-02 20:04:55,650 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 20:04:55,650 - mmseg - INFO - Iter(val) [250] aAcc: 0.8582, mIoU: 0.5656, mAcc: 0.6854, IoU.wall: 0.8117, IoU.building: 0.8477, IoU.sky: 0.9455, IoU.floor: 0.8432, IoU.tree: 0.7672, IoU.ceiling: 0.8634, IoU.road: 0.8620, IoU.bed : 0.9198, IoU.windowpane: 0.6641, IoU.grass: 0.6938, IoU.cabinet: 0.6667, IoU.sidewalk: 0.7039, IoU.person: 0.8346, IoU.earth: 0.3923, IoU.door: 0.6055, IoU.table: 0.6928, IoU.mountain: 0.6331, IoU.plant: 0.5445, IoU.curtain: 0.7735, IoU.chair: 0.6265, IoU.car: 0.8685, IoU.water: 0.6283, IoU.painting: 0.7972, IoU.sofa: 0.8000, IoU.shelf: 0.4755, IoU.house: 0.5286, IoU.sea: 0.7304, IoU.mirror: 0.7670, IoU.rug: 0.6488, IoU.field: 0.3505, IoU.armchair: 0.6122, IoU.seat: 0.6452, IoU.fence: 0.5052, IoU.desk: 0.6030, IoU.rock: 0.5734, IoU.wardrobe: 0.5531, IoU.lamp: 0.7075, IoU.bathtub: 0.8824, IoU.railing: 0.4024, IoU.cushion: 0.6593, IoU.base: 0.3663, IoU.box: 0.3936, IoU.column: 0.5089, IoU.signboard: 0.3952, IoU.chest of drawers: 0.4424, IoU.counter: 0.4655, IoU.sand: 0.5938, IoU.sink: 0.7955, IoU.skyscraper: 0.5391, IoU.fireplace: 0.7399, IoU.refrigerator: 0.8627, IoU.grandstand: 0.5217, IoU.path: 0.3293, IoU.stairs: 0.2679, IoU.runway: 0.7346, IoU.case: 0.5919, IoU.pool table: 0.9425, IoU.pillow: 0.6100, IoU.screen door: 0.7306, IoU.stairway: 0.3769, IoU.river: 0.0943, IoU.bridge: 0.7596, IoU.bookcase: 0.4330, IoU.blind: 0.3826, IoU.coffee table: 0.6411, IoU.toilet: 0.9012, IoU.flower: 0.4072, IoU.book: 0.5178, IoU.hill: 0.1794, IoU.bench: 0.5316, IoU.countertop: 0.6668, IoU.stove: 0.8540, IoU.palm: 0.5260, IoU.kitchen island: 0.4741, IoU.computer: 0.7820, IoU.swivel chair: 0.4642, IoU.boat: 0.7921, IoU.bar: 0.6400, IoU.arcade machine: 0.6284, IoU.hovel: 0.3292, IoU.bus: 0.9270, IoU.towel: 0.7355, IoU.light: 0.4720, IoU.truck: 0.5070, IoU.tower: 0.2786, IoU.chandelier: 0.7064, IoU.awning: 0.3394, IoU.streetlight: 0.2832, IoU.booth: 0.6528, IoU.television receiver: 0.7744, IoU.airplane: 0.7247, IoU.dirt track: 0.1235, IoU.apparel: 0.4373, IoU.pole: 0.2164, IoU.land: 0.0546, IoU.bannister: 0.1795, IoU.escalator: 0.6448, IoU.ottoman: 0.5420, IoU.bottle: 0.4119, IoU.buffet: 0.6699, IoU.poster: 0.3132, IoU.stage: 0.1348, IoU.van: 0.5071, IoU.ship: 0.6982, IoU.fountain: 0.2099, IoU.conveyer belt: 0.7951, IoU.canopy: 0.5366, IoU.washer: 0.8819, IoU.plaything: 0.3112, IoU.swimming pool: 0.6357, IoU.stool: 0.5107, IoU.barrel: 0.5849, IoU.basket: 0.4404, IoU.waterfall: 0.4842, IoU.tent: 0.9611, IoU.bag: 0.2256, IoU.minibike: 0.7402, IoU.cradle: 0.8300, IoU.oven: 0.6312, IoU.ball: 0.6155, IoU.food: 0.6040, IoU.step: 0.1151, IoU.tank: 0.6301, IoU.trade name: 0.2896, IoU.microwave: 0.9024, IoU.pot: 0.5756, IoU.animal: 0.7269, IoU.bicycle: 0.5744, IoU.lake: 0.5341, IoU.dishwasher: 0.7354, IoU.screen: 0.5478, IoU.blanket: 0.2404, IoU.sculpture: 0.7351, IoU.hood: 0.6118, IoU.sconce: 0.5521, IoU.vase: 0.4665, IoU.traffic light: 0.3608, IoU.tray: 0.2006, IoU.ashcan: 0.4989, IoU.fan: 0.6393, IoU.pier: 0.4028, IoU.crt screen: 0.1062, IoU.plate: 0.6056, IoU.monitor: 0.1161, IoU.bulletin board: 0.5270, IoU.shower: 0.1465, IoU.radiator: 0.6510, IoU.glass: 0.1897, IoU.clock: 0.5053, IoU.flag: 0.6782, Acc.wall: 0.8977, Acc.building: 0.9310, Acc.sky: 0.9724, Acc.floor: 0.9157, Acc.tree: 0.9027, Acc.ceiling: 0.9390, Acc.road: 0.9192, Acc.bed : 0.9728, Acc.windowpane: 0.8333, Acc.grass: 0.8153, Acc.cabinet: 0.7582, Acc.sidewalk: 0.8307, Acc.person: 0.9258, Acc.earth: 0.5211, Acc.door: 0.7470, Acc.table: 0.8306, Acc.mountain: 0.7631, Acc.plant: 0.6638, Acc.curtain: 0.8929, Acc.chair: 0.7315, Acc.car: 0.9301, Acc.water: 0.7969, Acc.painting: 0.8908, Acc.sofa: 0.8754, Acc.shelf: 0.6755, Acc.house: 0.6640, Acc.sea: 0.8446, Acc.mirror: 0.8681, Acc.rug: 0.7661, Acc.field: 0.5959, Acc.armchair: 0.7912, Acc.seat: 0.8716, Acc.fence: 0.6725, Acc.desk: 0.7652, Acc.rock: 0.8707, Acc.wardrobe: 0.7394, Acc.lamp: 0.8336, Acc.bathtub: 0.9181, Acc.railing: 0.5689, Acc.cushion: 0.8024, Acc.base: 0.4738, Acc.box: 0.4517, Acc.column: 0.6250, Acc.signboard: 0.5545, Acc.chest of drawers: 0.6295, Acc.counter: 0.5924, Acc.sand: 0.8547, Acc.sink: 0.8384, Acc.skyscraper: 0.7341, Acc.fireplace: 0.9196, Acc.refrigerator: 0.9366, Acc.grandstand: 0.8109, Acc.path: 0.4335, Acc.stairs: 0.3347, Acc.runway: 0.9441, Acc.case: 0.7921, Acc.pool table: 0.9760, Acc.pillow: 0.7005, Acc.screen door: 0.7453, Acc.stairway: 0.5356, Acc.river: 0.1844, Acc.bridge: 0.8719, Acc.bookcase: 0.6067, Acc.blind: 0.4082, Acc.coffee table: 0.8356, Acc.toilet: 0.9322, Acc.flower: 0.5990, Acc.book: 0.7003, Acc.hill: 0.2278, Acc.bench: 0.6104, Acc.countertop: 0.8268, Acc.stove: 0.9081, Acc.palm: 0.7816, Acc.kitchen island: 0.7385, Acc.computer: 0.8809, Acc.swivel chair: 0.7439, Acc.boat: 0.8957, Acc.bar: 0.8138, Acc.arcade machine: 0.6492, Acc.hovel: 0.3824, Acc.bus: 0.9624, Acc.towel: 0.8296, Acc.light: 0.5367, Acc.truck: 0.6039, Acc.tower: 0.4137, Acc.chandelier: 0.8455, Acc.awning: 0.4609, Acc.streetlight: 0.3796, Acc.booth: 0.7863, Acc.television receiver: 0.8708, Acc.airplane: 0.7818, Acc.dirt track: 0.3922, Acc.apparel: 0.5856, Acc.pole: 0.3219, Acc.land: 0.0701, Acc.bannister: 0.2256, Acc.escalator: 0.8095, Acc.ottoman: 0.7665, Acc.bottle: 0.6866, Acc.buffet: 0.8418, Acc.poster: 0.3775, Acc.stage: 0.2453, Acc.van: 0.7072, Acc.ship: 0.7295, Acc.fountain: 0.2111, Acc.conveyer belt: 0.9423, Acc.canopy: 0.6715, Acc.washer: 0.9334, Acc.plaything: 0.4789, Acc.swimming pool: 0.7371, Acc.stool: 0.6785, Acc.barrel: 0.8430, Acc.basket: 0.6067, Acc.waterfall: 0.5838, Acc.tent: 0.9872, Acc.bag: 0.2580, Acc.minibike: 0.8566, Acc.cradle: 0.9669, Acc.oven: 0.7612, Acc.ball: 0.7097, Acc.food: 0.7237, Acc.step: 0.1325, Acc.tank: 0.6601, Acc.trade name: 0.3334, Acc.microwave: 0.9449, Acc.pot: 0.6539, Acc.animal: 0.7503, Acc.bicycle: 0.6896, Acc.lake: 0.6377, Acc.dishwasher: 0.8184, Acc.screen: 0.7321, Acc.blanket: 0.2916, Acc.sculpture: 0.8712, Acc.hood: 0.7208, Acc.sconce: 0.6870, Acc.vase: 0.6135, Acc.traffic light: 0.5939, Acc.tray: 0.2739, Acc.ashcan: 0.6670, Acc.fan: 0.7458, Acc.pier: 0.4364, Acc.crt screen: 0.3269, Acc.plate: 0.7580, Acc.monitor: 0.1323, Acc.bulletin board: 0.6175, Acc.shower: 0.2087, Acc.radiator: 0.7883, Acc.glass: 0.2041, Acc.clock: 0.6119, Acc.flag: 0.7439 2023-11-02 20:05:56,444 - mmseg - INFO - Iter [49050/80000] lr: 1.253e-06, eta: 11:27:28, time: 2.404, data_time: 1.196, memory: 38534, decode.loss_ce: 0.1813, decode.acc_seg: 92.4953, loss: 0.1813 2023-11-02 20:06:57,120 - mmseg - INFO - Iter [49100/80000] lr: 1.251e-06, eta: 11:26:18, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1756, decode.acc_seg: 92.6507, loss: 0.1756 2023-11-02 20:07:57,790 - mmseg - INFO - Iter [49150/80000] lr: 1.249e-06, eta: 11:25:07, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1677, decode.acc_seg: 92.9334, loss: 0.1677 2023-11-02 20:08:58,488 - mmseg - INFO - Iter [49200/80000] lr: 1.247e-06, eta: 11:23:57, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1657, decode.acc_seg: 92.8702, loss: 0.1657 2023-11-02 20:09:59,211 - mmseg - INFO - Iter [49250/80000] lr: 1.245e-06, eta: 11:22:47, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1715, decode.acc_seg: 92.6436, loss: 0.1715 2023-11-02 20:11:02,282 - mmseg - INFO - Iter [49300/80000] lr: 1.243e-06, eta: 11:21:38, time: 1.261, data_time: 0.053, memory: 38534, decode.loss_ce: 0.1708, decode.acc_seg: 92.9774, loss: 0.1708 2023-11-02 20:12:03,016 - mmseg - INFO - Iter [49350/80000] lr: 1.241e-06, eta: 11:20:27, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1720, decode.acc_seg: 92.6315, loss: 0.1720 2023-11-02 20:13:03,735 - mmseg - INFO - Iter [49400/80000] lr: 1.239e-06, eta: 11:19:17, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1738, decode.acc_seg: 92.5955, loss: 0.1738 2023-11-02 20:14:04,482 - mmseg - INFO - Iter [49450/80000] lr: 1.237e-06, eta: 11:18:07, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1751, decode.acc_seg: 92.7652, loss: 0.1751 2023-11-02 20:15:05,235 - mmseg - INFO - Iter [49500/80000] lr: 1.235e-06, eta: 11:16:57, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1686, decode.acc_seg: 92.9229, loss: 0.1686 2023-11-02 20:16:05,898 - mmseg - INFO - Iter [49550/80000] lr: 1.233e-06, eta: 11:15:47, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1691, decode.acc_seg: 92.6644, loss: 0.1691 2023-11-02 20:17:06,618 - mmseg - INFO - Iter [49600/80000] lr: 1.231e-06, eta: 11:14:36, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1718, decode.acc_seg: 92.7481, loss: 0.1718 2023-11-02 20:18:07,446 - mmseg - INFO - Iter [49650/80000] lr: 1.229e-06, eta: 11:13:26, time: 1.217, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1641, decode.acc_seg: 93.1019, loss: 0.1641 2023-11-02 20:19:08,289 - mmseg - INFO - Iter [49700/80000] lr: 1.227e-06, eta: 11:12:16, time: 1.217, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1765, decode.acc_seg: 92.5698, loss: 0.1765 2023-11-02 20:20:09,074 - mmseg - INFO - Iter [49750/80000] lr: 1.225e-06, eta: 11:11:06, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1742, decode.acc_seg: 92.4590, loss: 0.1742 2023-11-02 20:21:09,859 - mmseg - INFO - Iter [49800/80000] lr: 1.223e-06, eta: 11:09:56, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1707, decode.acc_seg: 92.6653, loss: 0.1707 2023-11-02 20:22:10,583 - mmseg - INFO - Iter [49850/80000] lr: 1.221e-06, eta: 11:08:46, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1701, decode.acc_seg: 92.7552, loss: 0.1701 2023-11-02 20:23:11,333 - mmseg - INFO - Iter [49900/80000] lr: 1.219e-06, eta: 11:07:36, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1762, decode.acc_seg: 92.6905, loss: 0.1762 2023-11-02 20:24:12,063 - mmseg - INFO - Iter [49950/80000] lr: 1.217e-06, eta: 11:06:26, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1531, decode.acc_seg: 93.3271, loss: 0.1531 2023-11-02 20:25:12,863 - mmseg - INFO - Saving checkpoint at 50000 iterations 2023-11-02 20:26:07,300 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 20:26:07,301 - mmseg - INFO - Iter [50000/80000] lr: 1.215e-06, eta: 11:05:49, time: 2.305, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1639, decode.acc_seg: 93.0367, loss: 0.1639 2023-11-02 20:27:09,466 - mmseg - INFO - per class results: 2023-11-02 20:27:09,471 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 81.08 | 89.15 | | building | 84.86 | 93.28 | | sky | 94.51 | 97.72 | | floor | 83.85 | 91.85 | | tree | 76.63 | 89.23 | | ceiling | 86.39 | 94.0 | | road | 86.52 | 91.9 | | bed | 92.05 | 97.14 | | windowpane | 66.12 | 79.79 | | grass | 69.5 | 82.97 | | cabinet | 65.75 | 77.14 | | sidewalk | 69.52 | 83.95 | | person | 83.11 | 92.78 | | earth | 39.44 | 53.62 | | door | 61.07 | 76.17 | | table | 70.05 | 81.76 | | mountain | 62.78 | 75.02 | | plant | 54.47 | 68.59 | | curtain | 77.57 | 89.0 | | chair | 62.95 | 72.99 | | car | 86.78 | 92.84 | | water | 61.86 | 79.84 | | painting | 77.89 | 90.48 | | sofa | 81.19 | 90.62 | | shelf | 45.79 | 63.08 | | house | 58.55 | 74.37 | | sea | 71.45 | 81.98 | | mirror | 77.46 | 87.3 | | rug | 64.56 | 76.21 | | field | 32.86 | 51.0 | | armchair | 62.69 | 79.4 | | seat | 64.14 | 86.68 | | fence | 49.95 | 63.62 | | desk | 57.72 | 81.35 | | rock | 57.72 | 82.2 | | wardrobe | 52.98 | 68.16 | | lamp | 71.41 | 83.51 | | bathtub | 86.38 | 89.72 | | railing | 39.04 | 54.67 | | cushion | 64.49 | 81.69 | | base | 34.88 | 46.8 | | box | 42.87 | 52.67 | | column | 48.22 | 59.27 | | signboard | 40.26 | 55.07 | | chest of drawers | 48.07 | 73.44 | | counter | 43.16 | 55.42 | | sand | 60.66 | 85.18 | | sink | 79.73 | 86.01 | | skyscraper | 48.55 | 61.87 | | fireplace | 73.22 | 90.69 | | refrigerator | 86.89 | 92.54 | | grandstand | 50.62 | 85.88 | | path | 29.29 | 37.99 | | stairs | 26.73 | 34.02 | | runway | 73.17 | 94.24 | | case | 57.33 | 79.28 | | pool table | 94.26 | 97.48 | | pillow | 60.52 | 69.5 | | screen door | 75.93 | 78.06 | | stairway | 32.89 | 48.32 | | river | 9.91 | 18.92 | | bridge | 76.4 | 89.65 | | bookcase | 40.25 | 57.46 | | blind | 44.0 | 52.85 | | coffee table | 63.6 | 84.92 | | toilet | 89.58 | 93.94 | | flower | 41.12 | 58.93 | | book | 51.36 | 71.96 | | hill | 10.63 | 14.49 | | bench | 52.63 | 61.93 | | countertop | 65.33 | 82.88 | | stove | 86.68 | 92.62 | | palm | 52.13 | 79.95 | | kitchen island | 51.77 | 83.36 | | computer | 77.56 | 88.28 | | swivel chair | 44.65 | 67.89 | | boat | 79.46 | 87.65 | | bar | 61.91 | 83.48 | | arcade machine | 57.19 | 58.82 | | hovel | 27.48 | 29.93 | | bus | 92.26 | 96.65 | | towel | 75.29 | 84.45 | | light | 50.66 | 60.11 | | truck | 49.02 | 63.16 | | tower | 14.26 | 19.43 | | chandelier | 70.72 | 81.44 | | awning | 33.89 | 46.53 | | streetlight | 28.97 | 40.37 | | booth | 60.67 | 65.01 | | television receiver | 75.25 | 88.42 | | airplane | 76.54 | 83.46 | | dirt track | 25.24 | 56.62 | | apparel | 49.04 | 68.21 | | pole | 20.64 | 26.1 | | land | 4.94 | 6.51 | | bannister | 18.18 | 23.58 | | escalator | 54.66 | 66.64 | | ottoman | 54.98 | 77.36 | | bottle | 41.74 | 68.94 | | buffet | 46.75 | 52.29 | | poster | 28.32 | 32.16 | | stage | 28.77 | 51.52 | | van | 49.49 | 71.75 | | ship | 79.95 | 84.94 | | fountain | 23.57 | 23.73 | | conveyer belt | 79.86 | 93.14 | | canopy | 53.5 | 68.46 | | washer | 85.68 | 90.55 | | plaything | 35.83 | 47.13 | | swimming pool | 56.51 | 76.49 | | stool | 49.65 | 66.35 | | barrel | 59.85 | 79.39 | | basket | 43.02 | 59.38 | | waterfall | 48.54 | 56.01 | | tent | 96.26 | 98.46 | | bag | 21.55 | 24.18 | | minibike | 73.66 | 88.22 | | cradle | 85.42 | 97.51 | | oven | 61.37 | 72.39 | | ball | 61.27 | 69.82 | | food | 63.98 | 77.11 | | step | 10.18 | 11.73 | | tank | 62.59 | 66.3 | | trade name | 28.17 | 32.14 | | microwave | 90.66 | 94.35 | | pot | 59.25 | 68.63 | | animal | 71.41 | 73.45 | | bicycle | 59.63 | 79.69 | | lake | 53.46 | 63.71 | | dishwasher | 73.57 | 82.0 | | screen | 53.97 | 79.02 | | blanket | 20.53 | 24.98 | | sculpture | 76.75 | 87.61 | | hood | 60.68 | 72.13 | | sconce | 56.02 | 70.94 | | vase | 46.08 | 60.77 | | traffic light | 37.64 | 56.0 | | tray | 19.93 | 29.51 | | ashcan | 50.88 | 65.29 | | fan | 63.54 | 75.67 | | pier | 39.23 | 43.82 | | crt screen | 7.61 | 21.35 | | plate | 60.2 | 75.47 | | monitor | 15.99 | 18.4 | | bulletin board | 54.3 | 69.81 | | shower | 5.34 | 17.71 | | radiator | 64.58 | 80.03 | | glass | 19.08 | 20.71 | | clock | 48.95 | 61.49 | | flag | 67.33 | 74.09 | +---------------------+-------+-------+ 2023-11-02 20:27:09,471 - mmseg - INFO - Summary: 2023-11-02 20:27:09,471 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 85.73 | 56.21 | 68.41 | +-------+-------+-------+ 2023-11-02 20:27:09,472 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 20:27:09,472 - mmseg - INFO - Iter(val) [250] aAcc: 0.8573, mIoU: 0.5621, mAcc: 0.6841, IoU.wall: 0.8108, IoU.building: 0.8486, IoU.sky: 0.9451, IoU.floor: 0.8385, IoU.tree: 0.7663, IoU.ceiling: 0.8639, IoU.road: 0.8652, IoU.bed : 0.9205, IoU.windowpane: 0.6612, IoU.grass: 0.6950, IoU.cabinet: 0.6575, IoU.sidewalk: 0.6952, IoU.person: 0.8311, IoU.earth: 0.3944, IoU.door: 0.6107, IoU.table: 0.7005, IoU.mountain: 0.6278, IoU.plant: 0.5447, IoU.curtain: 0.7757, IoU.chair: 0.6295, IoU.car: 0.8678, IoU.water: 0.6186, IoU.painting: 0.7789, IoU.sofa: 0.8119, IoU.shelf: 0.4579, IoU.house: 0.5855, IoU.sea: 0.7145, IoU.mirror: 0.7746, IoU.rug: 0.6456, IoU.field: 0.3286, IoU.armchair: 0.6269, IoU.seat: 0.6414, IoU.fence: 0.4995, IoU.desk: 0.5772, IoU.rock: 0.5772, IoU.wardrobe: 0.5298, IoU.lamp: 0.7141, IoU.bathtub: 0.8638, IoU.railing: 0.3904, IoU.cushion: 0.6449, IoU.base: 0.3488, IoU.box: 0.4287, IoU.column: 0.4822, IoU.signboard: 0.4026, IoU.chest of drawers: 0.4807, IoU.counter: 0.4316, IoU.sand: 0.6066, IoU.sink: 0.7973, IoU.skyscraper: 0.4855, IoU.fireplace: 0.7322, IoU.refrigerator: 0.8689, IoU.grandstand: 0.5062, IoU.path: 0.2929, IoU.stairs: 0.2673, IoU.runway: 0.7317, IoU.case: 0.5733, IoU.pool table: 0.9426, IoU.pillow: 0.6052, IoU.screen door: 0.7593, IoU.stairway: 0.3289, IoU.river: 0.0991, IoU.bridge: 0.7640, IoU.bookcase: 0.4025, IoU.blind: 0.4400, IoU.coffee table: 0.6360, IoU.toilet: 0.8958, IoU.flower: 0.4112, IoU.book: 0.5136, IoU.hill: 0.1063, IoU.bench: 0.5263, IoU.countertop: 0.6533, IoU.stove: 0.8668, IoU.palm: 0.5213, IoU.kitchen island: 0.5177, IoU.computer: 0.7756, IoU.swivel chair: 0.4465, IoU.boat: 0.7946, IoU.bar: 0.6191, IoU.arcade machine: 0.5719, IoU.hovel: 0.2748, IoU.bus: 0.9226, IoU.towel: 0.7529, IoU.light: 0.5066, IoU.truck: 0.4902, IoU.tower: 0.1426, IoU.chandelier: 0.7072, IoU.awning: 0.3389, IoU.streetlight: 0.2897, IoU.booth: 0.6067, IoU.television receiver: 0.7525, IoU.airplane: 0.7654, IoU.dirt track: 0.2524, IoU.apparel: 0.4904, IoU.pole: 0.2064, IoU.land: 0.0494, IoU.bannister: 0.1818, IoU.escalator: 0.5466, IoU.ottoman: 0.5498, IoU.bottle: 0.4174, IoU.buffet: 0.4675, IoU.poster: 0.2832, IoU.stage: 0.2877, IoU.van: 0.4949, IoU.ship: 0.7995, IoU.fountain: 0.2357, IoU.conveyer belt: 0.7986, IoU.canopy: 0.5350, IoU.washer: 0.8568, IoU.plaything: 0.3583, IoU.swimming pool: 0.5651, IoU.stool: 0.4965, IoU.barrel: 0.5985, IoU.basket: 0.4302, IoU.waterfall: 0.4854, IoU.tent: 0.9626, IoU.bag: 0.2155, IoU.minibike: 0.7366, IoU.cradle: 0.8542, IoU.oven: 0.6137, IoU.ball: 0.6127, IoU.food: 0.6398, IoU.step: 0.1018, IoU.tank: 0.6259, IoU.trade name: 0.2817, IoU.microwave: 0.9066, IoU.pot: 0.5925, IoU.animal: 0.7141, IoU.bicycle: 0.5963, IoU.lake: 0.5346, IoU.dishwasher: 0.7357, IoU.screen: 0.5397, IoU.blanket: 0.2053, IoU.sculpture: 0.7675, IoU.hood: 0.6068, IoU.sconce: 0.5602, IoU.vase: 0.4608, IoU.traffic light: 0.3764, IoU.tray: 0.1993, IoU.ashcan: 0.5088, IoU.fan: 0.6354, IoU.pier: 0.3923, IoU.crt screen: 0.0761, IoU.plate: 0.6020, IoU.monitor: 0.1599, IoU.bulletin board: 0.5430, IoU.shower: 0.0534, IoU.radiator: 0.6458, IoU.glass: 0.1908, IoU.clock: 0.4895, IoU.flag: 0.6733, Acc.wall: 0.8915, Acc.building: 0.9328, Acc.sky: 0.9772, Acc.floor: 0.9185, Acc.tree: 0.8923, Acc.ceiling: 0.9400, Acc.road: 0.9190, Acc.bed : 0.9714, Acc.windowpane: 0.7979, Acc.grass: 0.8297, Acc.cabinet: 0.7714, Acc.sidewalk: 0.8395, Acc.person: 0.9278, Acc.earth: 0.5362, Acc.door: 0.7617, Acc.table: 0.8176, Acc.mountain: 0.7502, Acc.plant: 0.6859, Acc.curtain: 0.8900, Acc.chair: 0.7299, Acc.car: 0.9284, Acc.water: 0.7984, Acc.painting: 0.9048, Acc.sofa: 0.9062, Acc.shelf: 0.6308, Acc.house: 0.7437, Acc.sea: 0.8198, Acc.mirror: 0.8730, Acc.rug: 0.7621, Acc.field: 0.5100, Acc.armchair: 0.7940, Acc.seat: 0.8668, Acc.fence: 0.6362, Acc.desk: 0.8135, Acc.rock: 0.8220, Acc.wardrobe: 0.6816, Acc.lamp: 0.8351, Acc.bathtub: 0.8972, Acc.railing: 0.5467, Acc.cushion: 0.8169, Acc.base: 0.4680, Acc.box: 0.5267, Acc.column: 0.5927, Acc.signboard: 0.5507, Acc.chest of drawers: 0.7344, Acc.counter: 0.5542, Acc.sand: 0.8518, Acc.sink: 0.8601, Acc.skyscraper: 0.6187, Acc.fireplace: 0.9069, Acc.refrigerator: 0.9254, Acc.grandstand: 0.8588, Acc.path: 0.3799, Acc.stairs: 0.3402, Acc.runway: 0.9424, Acc.case: 0.7928, Acc.pool table: 0.9748, Acc.pillow: 0.6950, Acc.screen door: 0.7806, Acc.stairway: 0.4832, Acc.river: 0.1892, Acc.bridge: 0.8965, Acc.bookcase: 0.5746, Acc.blind: 0.5285, Acc.coffee table: 0.8492, Acc.toilet: 0.9394, Acc.flower: 0.5893, Acc.book: 0.7196, Acc.hill: 0.1449, Acc.bench: 0.6193, Acc.countertop: 0.8288, Acc.stove: 0.9262, Acc.palm: 0.7995, Acc.kitchen island: 0.8336, Acc.computer: 0.8828, Acc.swivel chair: 0.6789, Acc.boat: 0.8765, Acc.bar: 0.8348, Acc.arcade machine: 0.5882, Acc.hovel: 0.2993, Acc.bus: 0.9665, Acc.towel: 0.8445, Acc.light: 0.6011, Acc.truck: 0.6316, Acc.tower: 0.1943, Acc.chandelier: 0.8144, Acc.awning: 0.4653, Acc.streetlight: 0.4037, Acc.booth: 0.6501, Acc.television receiver: 0.8842, Acc.airplane: 0.8346, Acc.dirt track: 0.5662, Acc.apparel: 0.6821, Acc.pole: 0.2610, Acc.land: 0.0651, Acc.bannister: 0.2358, Acc.escalator: 0.6664, Acc.ottoman: 0.7736, Acc.bottle: 0.6894, Acc.buffet: 0.5229, Acc.poster: 0.3216, Acc.stage: 0.5152, Acc.van: 0.7175, Acc.ship: 0.8494, Acc.fountain: 0.2373, Acc.conveyer belt: 0.9314, Acc.canopy: 0.6846, Acc.washer: 0.9055, Acc.plaything: 0.4713, Acc.swimming pool: 0.7649, Acc.stool: 0.6635, Acc.barrel: 0.7939, Acc.basket: 0.5938, Acc.waterfall: 0.5601, Acc.tent: 0.9846, Acc.bag: 0.2418, Acc.minibike: 0.8822, Acc.cradle: 0.9751, Acc.oven: 0.7239, Acc.ball: 0.6982, Acc.food: 0.7711, Acc.step: 0.1173, Acc.tank: 0.6630, Acc.trade name: 0.3214, Acc.microwave: 0.9435, Acc.pot: 0.6863, Acc.animal: 0.7345, Acc.bicycle: 0.7969, Acc.lake: 0.6371, Acc.dishwasher: 0.8200, Acc.screen: 0.7902, Acc.blanket: 0.2498, Acc.sculpture: 0.8761, Acc.hood: 0.7213, Acc.sconce: 0.7094, Acc.vase: 0.6077, Acc.traffic light: 0.5600, Acc.tray: 0.2951, Acc.ashcan: 0.6529, Acc.fan: 0.7567, Acc.pier: 0.4382, Acc.crt screen: 0.2135, Acc.plate: 0.7547, Acc.monitor: 0.1840, Acc.bulletin board: 0.6981, Acc.shower: 0.1771, Acc.radiator: 0.8003, Acc.glass: 0.2071, Acc.clock: 0.6149, Acc.flag: 0.7409 2023-11-02 20:28:10,296 - mmseg - INFO - Iter [50050/80000] lr: 1.213e-06, eta: 11:05:16, time: 2.460, data_time: 1.251, memory: 38534, decode.loss_ce: 0.1556, decode.acc_seg: 93.2509, loss: 0.1556 2023-11-02 20:29:11,062 - mmseg - INFO - Iter [50100/80000] lr: 1.211e-06, eta: 11:04:06, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1663, decode.acc_seg: 92.9433, loss: 0.1663 2023-11-02 20:30:11,860 - mmseg - INFO - Iter [50150/80000] lr: 1.209e-06, eta: 11:02:56, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1647, decode.acc_seg: 92.9342, loss: 0.1647 2023-11-02 20:31:12,611 - mmseg - INFO - Iter [50200/80000] lr: 1.207e-06, eta: 11:01:45, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1762, decode.acc_seg: 92.6499, loss: 0.1762 2023-11-02 20:32:13,345 - mmseg - INFO - Iter [50250/80000] lr: 1.205e-06, eta: 11:00:35, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1676, decode.acc_seg: 93.0119, loss: 0.1676 2023-11-02 20:33:14,094 - mmseg - INFO - Iter [50300/80000] lr: 1.203e-06, eta: 10:59:25, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1574, decode.acc_seg: 93.4799, loss: 0.1574 2023-11-02 20:34:14,826 - mmseg - INFO - Iter [50350/80000] lr: 1.201e-06, eta: 10:58:15, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1683, decode.acc_seg: 92.9520, loss: 0.1683 2023-11-02 20:35:15,571 - mmseg - INFO - Iter [50400/80000] lr: 1.199e-06, eta: 10:57:05, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1695, decode.acc_seg: 92.8466, loss: 0.1695 2023-11-02 20:36:16,357 - mmseg - INFO - Iter [50450/80000] lr: 1.197e-06, eta: 10:55:55, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1655, decode.acc_seg: 92.9861, loss: 0.1655 2023-11-02 20:37:17,158 - mmseg - INFO - Iter [50500/80000] lr: 1.195e-06, eta: 10:54:45, time: 1.216, data_time: 0.008, memory: 38534, decode.loss_ce: 0.1591, decode.acc_seg: 93.2433, loss: 0.1591 2023-11-02 20:38:20,339 - mmseg - INFO - Iter [50550/80000] lr: 1.193e-06, eta: 10:53:37, time: 1.264, data_time: 0.056, memory: 38534, decode.loss_ce: 0.1595, decode.acc_seg: 93.1490, loss: 0.1595 2023-11-02 20:39:21,060 - mmseg - INFO - Iter [50600/80000] lr: 1.191e-06, eta: 10:52:27, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1696, decode.acc_seg: 92.8458, loss: 0.1696 2023-11-02 20:40:21,801 - mmseg - INFO - Iter [50650/80000] lr: 1.189e-06, eta: 10:51:17, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1694, decode.acc_seg: 93.0072, loss: 0.1694 2023-11-02 20:41:22,551 - mmseg - INFO - Iter [50700/80000] lr: 1.187e-06, eta: 10:50:07, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1653, decode.acc_seg: 92.8692, loss: 0.1653 2023-11-02 20:42:23,288 - mmseg - INFO - Iter [50750/80000] lr: 1.185e-06, eta: 10:48:57, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1650, decode.acc_seg: 93.0372, loss: 0.1650 2023-11-02 20:43:24,000 - mmseg - INFO - Iter [50800/80000] lr: 1.183e-06, eta: 10:47:47, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1662, decode.acc_seg: 92.9553, loss: 0.1662 2023-11-02 20:44:24,758 - mmseg - INFO - Iter [50850/80000] lr: 1.181e-06, eta: 10:46:37, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1603, decode.acc_seg: 93.1438, loss: 0.1603 2023-11-02 20:45:25,539 - mmseg - INFO - Iter [50900/80000] lr: 1.179e-06, eta: 10:45:27, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1689, decode.acc_seg: 92.6743, loss: 0.1689 2023-11-02 20:46:26,306 - mmseg - INFO - Iter [50950/80000] lr: 1.176e-06, eta: 10:44:17, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1653, decode.acc_seg: 92.7913, loss: 0.1653 2023-11-02 20:47:27,046 - mmseg - INFO - Saving checkpoint at 51000 iterations 2023-11-02 20:48:20,120 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 20:48:20,121 - mmseg - INFO - Iter [51000/80000] lr: 1.174e-06, eta: 10:43:38, time: 2.276, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1658, decode.acc_seg: 92.9804, loss: 0.1658 2023-11-02 20:49:22,060 - mmseg - INFO - per class results: 2023-11-02 20:49:22,065 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 81.11 | 89.26 | | building | 84.81 | 93.18 | | sky | 94.65 | 97.5 | | floor | 84.2 | 91.33 | | tree | 77.14 | 88.31 | | ceiling | 85.79 | 95.14 | | road | 85.84 | 91.97 | | bed | 91.95 | 97.33 | | windowpane | 65.53 | 80.4 | | grass | 67.42 | 81.8 | | cabinet | 65.88 | 77.0 | | sidewalk | 69.23 | 85.29 | | person | 83.35 | 91.9 | | earth | 40.15 | 50.89 | | door | 59.86 | 71.94 | | table | 70.01 | 82.5 | | mountain | 63.57 | 78.22 | | plant | 54.92 | 69.13 | | curtain | 77.49 | 88.04 | | chair | 63.29 | 74.35 | | car | 86.72 | 93.7 | | water | 61.92 | 79.35 | | painting | 79.06 | 89.95 | | sofa | 81.02 | 88.93 | | shelf | 45.86 | 62.07 | | house | 52.25 | 66.84 | | sea | 69.79 | 85.85 | | mirror | 78.1 | 85.82 | | rug | 65.07 | 76.79 | | field | 29.08 | 51.04 | | armchair | 62.66 | 81.21 | | seat | 64.69 | 88.09 | | fence | 51.63 | 67.87 | | desk | 59.89 | 77.92 | | rock | 58.76 | 83.72 | | wardrobe | 57.14 | 77.62 | | lamp | 71.43 | 82.01 | | bathtub | 86.47 | 89.75 | | railing | 39.62 | 57.27 | | cushion | 65.23 | 76.67 | | base | 35.02 | 47.43 | | box | 40.47 | 47.03 | | column | 53.82 | 70.18 | | signboard | 38.28 | 56.43 | | chest of drawers | 45.23 | 61.77 | | counter | 39.54 | 47.32 | | sand | 57.54 | 86.33 | | sink | 79.65 | 86.24 | | skyscraper | 47.07 | 61.77 | | fireplace | 72.08 | 89.62 | | refrigerator | 83.87 | 88.19 | | grandstand | 51.04 | 82.97 | | path | 22.24 | 27.37 | | stairs | 27.49 | 32.98 | | runway | 71.68 | 91.33 | | case | 58.54 | 78.18 | | pool table | 93.96 | 98.12 | | pillow | 63.05 | 75.28 | | screen door | 73.31 | 75.93 | | stairway | 40.08 | 56.3 | | river | 13.56 | 23.46 | | bridge | 76.19 | 87.96 | | bookcase | 41.02 | 66.07 | | blind | 41.77 | 51.43 | | coffee table | 64.22 | 86.36 | | toilet | 89.55 | 93.33 | | flower | 41.91 | 63.76 | | book | 49.44 | 69.29 | | hill | 7.31 | 12.11 | | bench | 52.29 | 60.98 | | countertop | 64.93 | 83.41 | | stove | 85.49 | 90.19 | | palm | 50.92 | 79.63 | | kitchen island | 51.11 | 78.71 | | computer | 78.19 | 89.41 | | swivel chair | 44.01 | 69.61 | | boat | 75.52 | 92.41 | | bar | 64.01 | 85.02 | | arcade machine | 52.6 | 54.31 | | hovel | 32.35 | 36.43 | | bus | 92.53 | 96.43 | | towel | 75.71 | 84.22 | | light | 47.82 | 55.4 | | truck | 49.29 | 60.84 | | tower | 31.2 | 55.44 | | chandelier | 69.35 | 81.97 | | awning | 31.84 | 40.28 | | streetlight | 28.31 | 37.86 | | booth | 65.51 | 67.98 | | television receiver | 73.57 | 89.77 | | airplane | 74.24 | 81.04 | | dirt track | 19.51 | 43.32 | | apparel | 53.45 | 80.95 | | pole | 24.5 | 35.5 | | land | 5.38 | 7.18 | | bannister | 17.46 | 23.41 | | escalator | 62.5 | 77.98 | | ottoman | 51.84 | 70.29 | | bottle | 43.04 | 68.08 | | buffet | 61.52 | 70.5 | | poster | 35.99 | 42.21 | | stage | 26.56 | 57.48 | | van | 50.52 | 70.06 | | ship | 73.64 | 75.24 | | fountain | 21.33 | 21.37 | | conveyer belt | 78.46 | 94.46 | | canopy | 51.9 | 68.04 | | washer | 86.87 | 92.06 | | plaything | 32.21 | 51.16 | | swimming pool | 63.72 | 73.32 | | stool | 50.83 | 63.96 | | barrel | 61.12 | 81.98 | | basket | 43.14 | 57.93 | | waterfall | 47.42 | 57.61 | | tent | 94.01 | 98.49 | | bag | 23.04 | 26.31 | | minibike | 71.82 | 88.32 | | cradle | 84.14 | 98.16 | | oven | 60.9 | 76.96 | | ball | 62.23 | 71.79 | | food | 63.06 | 77.1 | | step | 10.73 | 12.48 | | tank | 61.98 | 65.5 | | trade name | 21.97 | 25.33 | | microwave | 90.45 | 94.61 | | pot | 58.11 | 65.87 | | animal | 69.92 | 71.54 | | bicycle | 60.1 | 77.65 | | lake | 53.67 | 63.74 | | dishwasher | 74.5 | 81.98 | | screen | 51.74 | 78.18 | | blanket | 29.21 | 35.34 | | sculpture | 75.82 | 88.51 | | hood | 61.3 | 73.59 | | sconce | 54.54 | 67.4 | | vase | 47.37 | 64.44 | | traffic light | 36.93 | 60.17 | | tray | 21.9 | 29.63 | | ashcan | 50.39 | 61.95 | | fan | 63.13 | 74.36 | | pier | 39.61 | 43.64 | | crt screen | 10.27 | 19.61 | | plate | 60.28 | 76.54 | | monitor | 51.0 | 60.38 | | bulletin board | 52.65 | 63.95 | | shower | 11.14 | 17.37 | | radiator | 65.03 | 76.15 | | glass | 17.97 | 18.96 | | clock | 50.01 | 61.26 | | flag | 65.18 | 71.95 | +---------------------+-------+-------+ 2023-11-02 20:49:22,065 - mmseg - INFO - Summary: 2023-11-02 20:49:22,065 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 85.69 | 56.54 | 68.98 | +-------+-------+-------+ 2023-11-02 20:49:22,066 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 20:49:22,066 - mmseg - INFO - Iter(val) [250] aAcc: 0.8569, mIoU: 0.5654, mAcc: 0.6898, IoU.wall: 0.8111, IoU.building: 0.8481, IoU.sky: 0.9465, IoU.floor: 0.8420, IoU.tree: 0.7714, IoU.ceiling: 0.8579, IoU.road: 0.8584, IoU.bed : 0.9195, IoU.windowpane: 0.6553, IoU.grass: 0.6742, IoU.cabinet: 0.6588, IoU.sidewalk: 0.6923, IoU.person: 0.8335, IoU.earth: 0.4015, IoU.door: 0.5986, IoU.table: 0.7001, IoU.mountain: 0.6357, IoU.plant: 0.5492, IoU.curtain: 0.7749, IoU.chair: 0.6329, IoU.car: 0.8672, IoU.water: 0.6192, IoU.painting: 0.7906, IoU.sofa: 0.8102, IoU.shelf: 0.4586, IoU.house: 0.5225, IoU.sea: 0.6979, IoU.mirror: 0.7810, IoU.rug: 0.6507, IoU.field: 0.2908, IoU.armchair: 0.6266, IoU.seat: 0.6469, IoU.fence: 0.5163, IoU.desk: 0.5989, IoU.rock: 0.5876, IoU.wardrobe: 0.5714, IoU.lamp: 0.7143, IoU.bathtub: 0.8647, IoU.railing: 0.3962, IoU.cushion: 0.6523, IoU.base: 0.3502, IoU.box: 0.4047, IoU.column: 0.5382, IoU.signboard: 0.3828, IoU.chest of drawers: 0.4523, IoU.counter: 0.3954, IoU.sand: 0.5754, IoU.sink: 0.7965, IoU.skyscraper: 0.4707, IoU.fireplace: 0.7208, IoU.refrigerator: 0.8387, IoU.grandstand: 0.5104, IoU.path: 0.2224, IoU.stairs: 0.2749, IoU.runway: 0.7168, IoU.case: 0.5854, IoU.pool table: 0.9396, IoU.pillow: 0.6305, IoU.screen door: 0.7331, IoU.stairway: 0.4008, IoU.river: 0.1356, IoU.bridge: 0.7619, IoU.bookcase: 0.4102, IoU.blind: 0.4177, IoU.coffee table: 0.6422, IoU.toilet: 0.8955, IoU.flower: 0.4191, IoU.book: 0.4944, IoU.hill: 0.0731, IoU.bench: 0.5229, IoU.countertop: 0.6493, IoU.stove: 0.8549, IoU.palm: 0.5092, IoU.kitchen island: 0.5111, IoU.computer: 0.7819, IoU.swivel chair: 0.4401, IoU.boat: 0.7552, IoU.bar: 0.6401, IoU.arcade machine: 0.5260, IoU.hovel: 0.3235, IoU.bus: 0.9253, IoU.towel: 0.7571, IoU.light: 0.4782, IoU.truck: 0.4929, IoU.tower: 0.3120, IoU.chandelier: 0.6935, IoU.awning: 0.3184, IoU.streetlight: 0.2831, IoU.booth: 0.6551, IoU.television receiver: 0.7357, IoU.airplane: 0.7424, IoU.dirt track: 0.1951, IoU.apparel: 0.5345, IoU.pole: 0.2450, IoU.land: 0.0538, IoU.bannister: 0.1746, IoU.escalator: 0.6250, IoU.ottoman: 0.5184, IoU.bottle: 0.4304, IoU.buffet: 0.6152, IoU.poster: 0.3599, IoU.stage: 0.2656, IoU.van: 0.5052, IoU.ship: 0.7364, IoU.fountain: 0.2133, IoU.conveyer belt: 0.7846, IoU.canopy: 0.5190, IoU.washer: 0.8687, IoU.plaything: 0.3221, IoU.swimming pool: 0.6372, IoU.stool: 0.5083, IoU.barrel: 0.6112, IoU.basket: 0.4314, IoU.waterfall: 0.4742, IoU.tent: 0.9401, IoU.bag: 0.2304, IoU.minibike: 0.7182, IoU.cradle: 0.8414, IoU.oven: 0.6090, IoU.ball: 0.6223, IoU.food: 0.6306, IoU.step: 0.1073, IoU.tank: 0.6198, IoU.trade name: 0.2197, IoU.microwave: 0.9045, IoU.pot: 0.5811, IoU.animal: 0.6992, IoU.bicycle: 0.6010, IoU.lake: 0.5367, IoU.dishwasher: 0.7450, IoU.screen: 0.5174, IoU.blanket: 0.2921, IoU.sculpture: 0.7582, IoU.hood: 0.6130, IoU.sconce: 0.5454, IoU.vase: 0.4737, IoU.traffic light: 0.3693, IoU.tray: 0.2190, IoU.ashcan: 0.5039, IoU.fan: 0.6313, IoU.pier: 0.3961, IoU.crt screen: 0.1027, IoU.plate: 0.6028, IoU.monitor: 0.5100, IoU.bulletin board: 0.5265, IoU.shower: 0.1114, IoU.radiator: 0.6503, IoU.glass: 0.1797, IoU.clock: 0.5001, IoU.flag: 0.6518, Acc.wall: 0.8926, Acc.building: 0.9318, Acc.sky: 0.9750, Acc.floor: 0.9133, Acc.tree: 0.8831, Acc.ceiling: 0.9514, Acc.road: 0.9197, Acc.bed : 0.9733, Acc.windowpane: 0.8040, Acc.grass: 0.8180, Acc.cabinet: 0.7700, Acc.sidewalk: 0.8529, Acc.person: 0.9190, Acc.earth: 0.5089, Acc.door: 0.7194, Acc.table: 0.8250, Acc.mountain: 0.7822, Acc.plant: 0.6913, Acc.curtain: 0.8804, Acc.chair: 0.7435, Acc.car: 0.9370, Acc.water: 0.7935, Acc.painting: 0.8995, Acc.sofa: 0.8893, Acc.shelf: 0.6207, Acc.house: 0.6684, Acc.sea: 0.8585, Acc.mirror: 0.8582, Acc.rug: 0.7679, Acc.field: 0.5104, Acc.armchair: 0.8121, Acc.seat: 0.8809, Acc.fence: 0.6787, Acc.desk: 0.7792, Acc.rock: 0.8372, Acc.wardrobe: 0.7762, Acc.lamp: 0.8201, Acc.bathtub: 0.8975, Acc.railing: 0.5727, Acc.cushion: 0.7667, Acc.base: 0.4743, Acc.box: 0.4703, Acc.column: 0.7018, Acc.signboard: 0.5643, Acc.chest of drawers: 0.6177, Acc.counter: 0.4732, Acc.sand: 0.8633, Acc.sink: 0.8624, Acc.skyscraper: 0.6177, Acc.fireplace: 0.8962, Acc.refrigerator: 0.8819, Acc.grandstand: 0.8297, Acc.path: 0.2737, Acc.stairs: 0.3298, Acc.runway: 0.9133, Acc.case: 0.7818, Acc.pool table: 0.9812, Acc.pillow: 0.7528, Acc.screen door: 0.7593, Acc.stairway: 0.5630, Acc.river: 0.2346, Acc.bridge: 0.8796, Acc.bookcase: 0.6607, Acc.blind: 0.5143, Acc.coffee table: 0.8636, Acc.toilet: 0.9333, Acc.flower: 0.6376, Acc.book: 0.6929, Acc.hill: 0.1211, Acc.bench: 0.6098, Acc.countertop: 0.8341, Acc.stove: 0.9019, Acc.palm: 0.7963, Acc.kitchen island: 0.7871, Acc.computer: 0.8941, Acc.swivel chair: 0.6961, Acc.boat: 0.9241, Acc.bar: 0.8502, Acc.arcade machine: 0.5431, Acc.hovel: 0.3643, Acc.bus: 0.9643, Acc.towel: 0.8422, Acc.light: 0.5540, Acc.truck: 0.6084, Acc.tower: 0.5544, Acc.chandelier: 0.8197, Acc.awning: 0.4028, Acc.streetlight: 0.3786, Acc.booth: 0.6798, Acc.television receiver: 0.8977, Acc.airplane: 0.8104, Acc.dirt track: 0.4332, Acc.apparel: 0.8095, Acc.pole: 0.3550, Acc.land: 0.0718, Acc.bannister: 0.2341, Acc.escalator: 0.7798, Acc.ottoman: 0.7029, Acc.bottle: 0.6808, Acc.buffet: 0.7050, Acc.poster: 0.4221, Acc.stage: 0.5748, Acc.van: 0.7006, Acc.ship: 0.7524, Acc.fountain: 0.2137, Acc.conveyer belt: 0.9446, Acc.canopy: 0.6804, Acc.washer: 0.9206, Acc.plaything: 0.5116, Acc.swimming pool: 0.7332, Acc.stool: 0.6396, Acc.barrel: 0.8198, Acc.basket: 0.5793, Acc.waterfall: 0.5761, Acc.tent: 0.9849, Acc.bag: 0.2631, Acc.minibike: 0.8832, Acc.cradle: 0.9816, Acc.oven: 0.7696, Acc.ball: 0.7179, Acc.food: 0.7710, Acc.step: 0.1248, Acc.tank: 0.6550, Acc.trade name: 0.2533, Acc.microwave: 0.9461, Acc.pot: 0.6587, Acc.animal: 0.7154, Acc.bicycle: 0.7765, Acc.lake: 0.6374, Acc.dishwasher: 0.8198, Acc.screen: 0.7818, Acc.blanket: 0.3534, Acc.sculpture: 0.8851, Acc.hood: 0.7359, Acc.sconce: 0.6740, Acc.vase: 0.6444, Acc.traffic light: 0.6017, Acc.tray: 0.2963, Acc.ashcan: 0.6195, Acc.fan: 0.7436, Acc.pier: 0.4364, Acc.crt screen: 0.1961, Acc.plate: 0.7654, Acc.monitor: 0.6038, Acc.bulletin board: 0.6395, Acc.shower: 0.1737, Acc.radiator: 0.7615, Acc.glass: 0.1896, Acc.clock: 0.6126, Acc.flag: 0.7195 2023-11-02 20:50:22,846 - mmseg - INFO - Iter [51050/80000] lr: 1.172e-06, eta: 10:43:03, time: 2.455, data_time: 1.246, memory: 38534, decode.loss_ce: 0.1648, decode.acc_seg: 93.0230, loss: 0.1648 2023-11-02 20:51:23,582 - mmseg - INFO - Iter [51100/80000] lr: 1.170e-06, eta: 10:41:53, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1703, decode.acc_seg: 92.9516, loss: 0.1703 2023-11-02 20:52:24,277 - mmseg - INFO - Iter [51150/80000] lr: 1.168e-06, eta: 10:40:43, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1654, decode.acc_seg: 92.9271, loss: 0.1654 2023-11-02 20:53:24,944 - mmseg - INFO - Iter [51200/80000] lr: 1.166e-06, eta: 10:39:33, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1655, decode.acc_seg: 92.9520, loss: 0.1655 2023-11-02 20:54:25,704 - mmseg - INFO - Iter [51250/80000] lr: 1.164e-06, eta: 10:38:23, time: 1.215, data_time: 0.008, memory: 38534, decode.loss_ce: 0.1568, decode.acc_seg: 93.2902, loss: 0.1568 2023-11-02 20:55:26,418 - mmseg - INFO - Iter [51300/80000] lr: 1.162e-06, eta: 10:37:13, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1749, decode.acc_seg: 92.8668, loss: 0.1749 2023-11-02 20:56:27,155 - mmseg - INFO - Iter [51350/80000] lr: 1.160e-06, eta: 10:36:03, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1623, decode.acc_seg: 92.8911, loss: 0.1623 2023-11-02 20:57:27,979 - mmseg - INFO - Iter [51400/80000] lr: 1.158e-06, eta: 10:34:53, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1595, decode.acc_seg: 93.0875, loss: 0.1595 2023-11-02 20:58:28,760 - mmseg - INFO - Iter [51450/80000] lr: 1.156e-06, eta: 10:33:44, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1713, decode.acc_seg: 92.6330, loss: 0.1713 2023-11-02 20:59:29,523 - mmseg - INFO - Iter [51500/80000] lr: 1.154e-06, eta: 10:32:34, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1681, decode.acc_seg: 92.7481, loss: 0.1681 2023-11-02 21:00:30,296 - mmseg - INFO - Iter [51550/80000] lr: 1.152e-06, eta: 10:31:24, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1664, decode.acc_seg: 93.0311, loss: 0.1664 2023-11-02 21:01:31,112 - mmseg - INFO - Iter [51600/80000] lr: 1.150e-06, eta: 10:30:14, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1632, decode.acc_seg: 92.9254, loss: 0.1632 2023-11-02 21:02:31,852 - mmseg - INFO - Iter [51650/80000] lr: 1.148e-06, eta: 10:29:04, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1701, decode.acc_seg: 92.8007, loss: 0.1701 2023-11-02 21:03:32,620 - mmseg - INFO - Iter [51700/80000] lr: 1.146e-06, eta: 10:27:55, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1622, decode.acc_seg: 93.0346, loss: 0.1622 2023-11-02 21:04:33,368 - mmseg - INFO - Iter [51750/80000] lr: 1.144e-06, eta: 10:26:45, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1657, decode.acc_seg: 93.0712, loss: 0.1657 2023-11-02 21:05:36,569 - mmseg - INFO - Iter [51800/80000] lr: 1.142e-06, eta: 10:25:37, time: 1.264, data_time: 0.055, memory: 38534, decode.loss_ce: 0.1707, decode.acc_seg: 92.6936, loss: 0.1707 2023-11-02 21:06:37,317 - mmseg - INFO - Iter [51850/80000] lr: 1.140e-06, eta: 10:24:27, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1552, decode.acc_seg: 93.3348, loss: 0.1552 2023-11-02 21:07:38,108 - mmseg - INFO - Iter [51900/80000] lr: 1.138e-06, eta: 10:23:17, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1663, decode.acc_seg: 92.9007, loss: 0.1663 2023-11-02 21:08:38,863 - mmseg - INFO - Iter [51950/80000] lr: 1.136e-06, eta: 10:22:08, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1558, decode.acc_seg: 93.1476, loss: 0.1558 2023-11-02 21:09:39,603 - mmseg - INFO - Saving checkpoint at 52000 iterations 2023-11-02 21:10:33,695 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 21:10:33,695 - mmseg - INFO - Iter [52000/80000] lr: 1.134e-06, eta: 10:21:27, time: 2.297, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1634, decode.acc_seg: 93.0045, loss: 0.1634 2023-11-02 21:11:33,440 - mmseg - INFO - per class results: 2023-11-02 21:11:33,445 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 81.12 | 89.87 | | building | 84.25 | 93.59 | | sky | 94.54 | 97.68 | | floor | 84.03 | 91.37 | | tree | 76.77 | 88.18 | | ceiling | 86.16 | 93.77 | | road | 85.58 | 90.57 | | bed | 91.62 | 97.64 | | windowpane | 65.47 | 79.91 | | grass | 68.42 | 81.78 | | cabinet | 66.34 | 74.9 | | sidewalk | 68.74 | 85.92 | | person | 83.28 | 94.17 | | earth | 39.91 | 51.95 | | door | 60.31 | 77.31 | | table | 69.46 | 82.06 | | mountain | 65.67 | 78.05 | | plant | 54.18 | 68.2 | | curtain | 77.33 | 87.99 | | chair | 62.7 | 73.84 | | car | 86.73 | 94.02 | | water | 59.58 | 72.04 | | painting | 78.48 | 88.86 | | sofa | 79.4 | 86.45 | | shelf | 47.29 | 61.92 | | house | 51.09 | 63.11 | | sea | 67.54 | 87.21 | | mirror | 78.53 | 87.46 | | rug | 63.56 | 74.31 | | field | 32.68 | 55.58 | | armchair | 60.12 | 80.19 | | seat | 65.44 | 87.08 | | fence | 49.87 | 65.14 | | desk | 60.61 | 78.93 | | rock | 59.36 | 83.71 | | wardrobe | 52.47 | 68.74 | | lamp | 71.41 | 82.55 | | bathtub | 84.98 | 88.42 | | railing | 41.22 | 57.44 | | cushion | 65.82 | 80.92 | | base | 38.16 | 48.49 | | box | 42.91 | 53.72 | | column | 50.6 | 62.22 | | signboard | 39.05 | 53.48 | | chest of drawers | 50.49 | 78.75 | | counter | 37.82 | 48.05 | | sand | 59.55 | 84.79 | | sink | 80.35 | 86.4 | | skyscraper | 43.97 | 56.97 | | fireplace | 70.89 | 89.79 | | refrigerator | 87.01 | 94.0 | | grandstand | 53.63 | 83.0 | | path | 24.1 | 31.46 | | stairs | 26.11 | 31.78 | | runway | 74.73 | 96.83 | | case | 61.39 | 82.92 | | pool table | 94.29 | 97.36 | | pillow | 59.42 | 67.25 | | screen door | 72.14 | 74.97 | | stairway | 36.63 | 55.88 | | river | 15.3 | 27.33 | | bridge | 77.65 | 87.3 | | bookcase | 41.02 | 60.09 | | blind | 40.26 | 44.95 | | coffee table | 62.6 | 84.35 | | toilet | 89.64 | 92.74 | | flower | 40.47 | 56.81 | | book | 51.63 | 73.75 | | hill | 15.03 | 19.49 | | bench | 52.15 | 60.27 | | countertop | 63.6 | 82.27 | | stove | 85.69 | 93.11 | | palm | 52.13 | 84.2 | | kitchen island | 50.7 | 81.21 | | computer | 78.14 | 88.1 | | swivel chair | 41.03 | 62.42 | | boat | 76.27 | 89.42 | | bar | 63.4 | 85.13 | | arcade machine | 68.47 | 70.61 | | hovel | 22.18 | 24.0 | | bus | 92.59 | 96.77 | | towel | 74.96 | 83.23 | | light | 44.45 | 50.44 | | truck | 50.46 | 61.71 | | tower | 31.3 | 46.5 | | chandelier | 69.3 | 86.24 | | awning | 34.4 | 42.48 | | streetlight | 27.63 | 36.12 | | booth | 68.68 | 73.36 | | television receiver | 73.54 | 89.22 | | airplane | 75.6 | 80.81 | | dirt track | 27.48 | 37.26 | | apparel | 56.64 | 82.12 | | pole | 24.68 | 34.7 | | land | 4.93 | 7.67 | | bannister | 15.58 | 19.7 | | escalator | 66.79 | 82.42 | | ottoman | 54.88 | 71.73 | | bottle | 41.39 | 58.89 | | buffet | 65.71 | 76.73 | | poster | 31.05 | 36.65 | | stage | 24.7 | 41.5 | | van | 51.19 | 68.09 | | ship | 76.9 | 80.33 | | fountain | 36.57 | 36.83 | | conveyer belt | 79.18 | 94.26 | | canopy | 51.54 | 66.15 | | washer | 85.28 | 89.94 | | plaything | 31.7 | 44.96 | | swimming pool | 44.48 | 89.87 | | stool | 50.71 | 65.62 | | barrel | 59.59 | 81.6 | | basket | 44.6 | 58.89 | | waterfall | 48.06 | 59.69 | | tent | 95.76 | 98.45 | | bag | 27.98 | 32.68 | | minibike | 73.82 | 87.26 | | cradle | 86.91 | 97.69 | | oven | 64.26 | 78.31 | | ball | 47.95 | 49.83 | | food | 62.52 | 74.09 | | step | 12.96 | 15.36 | | tank | 62.73 | 65.28 | | trade name | 29.25 | 34.91 | | microwave | 90.14 | 95.14 | | pot | 58.35 | 66.45 | | animal | 71.51 | 73.45 | | bicycle | 60.86 | 78.93 | | lake | 53.13 | 63.71 | | dishwasher | 72.23 | 82.86 | | screen | 52.09 | 73.61 | | blanket | 28.65 | 36.25 | | sculpture | 74.31 | 88.13 | | hood | 61.2 | 72.96 | | sconce | 54.18 | 67.96 | | vase | 46.73 | 61.55 | | traffic light | 36.7 | 57.29 | | tray | 21.22 | 25.33 | | ashcan | 51.19 | 65.31 | | fan | 63.1 | 73.64 | | pier | 38.84 | 45.27 | | crt screen | 10.13 | 21.22 | | plate | 60.04 | 73.46 | | monitor | 45.05 | 53.11 | | bulletin board | 53.49 | 63.81 | | shower | 11.83 | 17.06 | | radiator | 64.37 | 77.79 | | glass | 18.18 | 19.29 | | clock | 47.92 | 63.51 | | flag | 60.1 | 67.72 | +---------------------+-------+-------+ 2023-11-02 21:11:33,445 - mmseg - INFO - Summary: 2023-11-02 21:11:33,445 - mmseg - INFO - +-------+-------+------+ | aAcc | mIoU | mAcc | +-------+-------+------+ | 85.68 | 56.66 | 68.8 | +-------+-------+------+ 2023-11-02 21:11:33,446 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 21:11:33,446 - mmseg - INFO - Iter(val) [250] aAcc: 0.8568, mIoU: 0.5666, mAcc: 0.6880, IoU.wall: 0.8112, IoU.building: 0.8425, IoU.sky: 0.9454, IoU.floor: 0.8403, IoU.tree: 0.7677, IoU.ceiling: 0.8616, IoU.road: 0.8558, IoU.bed : 0.9162, IoU.windowpane: 0.6547, IoU.grass: 0.6842, IoU.cabinet: 0.6634, IoU.sidewalk: 0.6874, IoU.person: 0.8328, IoU.earth: 0.3991, IoU.door: 0.6031, IoU.table: 0.6946, IoU.mountain: 0.6567, IoU.plant: 0.5418, IoU.curtain: 0.7733, IoU.chair: 0.6270, IoU.car: 0.8673, IoU.water: 0.5958, IoU.painting: 0.7848, IoU.sofa: 0.7940, IoU.shelf: 0.4729, IoU.house: 0.5109, IoU.sea: 0.6754, IoU.mirror: 0.7853, IoU.rug: 0.6356, IoU.field: 0.3268, IoU.armchair: 0.6012, IoU.seat: 0.6544, IoU.fence: 0.4987, IoU.desk: 0.6061, IoU.rock: 0.5936, IoU.wardrobe: 0.5247, IoU.lamp: 0.7141, IoU.bathtub: 0.8498, IoU.railing: 0.4122, IoU.cushion: 0.6582, IoU.base: 0.3816, IoU.box: 0.4291, IoU.column: 0.5060, IoU.signboard: 0.3905, IoU.chest of drawers: 0.5049, IoU.counter: 0.3782, IoU.sand: 0.5955, IoU.sink: 0.8035, IoU.skyscraper: 0.4397, IoU.fireplace: 0.7089, IoU.refrigerator: 0.8701, IoU.grandstand: 0.5363, IoU.path: 0.2410, IoU.stairs: 0.2611, IoU.runway: 0.7473, IoU.case: 0.6139, IoU.pool table: 0.9429, IoU.pillow: 0.5942, IoU.screen door: 0.7214, IoU.stairway: 0.3663, IoU.river: 0.1530, IoU.bridge: 0.7765, IoU.bookcase: 0.4102, IoU.blind: 0.4026, IoU.coffee table: 0.6260, IoU.toilet: 0.8964, IoU.flower: 0.4047, IoU.book: 0.5163, IoU.hill: 0.1503, IoU.bench: 0.5215, IoU.countertop: 0.6360, IoU.stove: 0.8569, IoU.palm: 0.5213, IoU.kitchen island: 0.5070, IoU.computer: 0.7814, IoU.swivel chair: 0.4103, IoU.boat: 0.7627, IoU.bar: 0.6340, IoU.arcade machine: 0.6847, IoU.hovel: 0.2218, IoU.bus: 0.9259, IoU.towel: 0.7496, IoU.light: 0.4445, IoU.truck: 0.5046, IoU.tower: 0.3130, IoU.chandelier: 0.6930, IoU.awning: 0.3440, IoU.streetlight: 0.2763, IoU.booth: 0.6868, IoU.television receiver: 0.7354, IoU.airplane: 0.7560, IoU.dirt track: 0.2748, IoU.apparel: 0.5664, IoU.pole: 0.2468, IoU.land: 0.0493, IoU.bannister: 0.1558, IoU.escalator: 0.6679, IoU.ottoman: 0.5488, IoU.bottle: 0.4139, IoU.buffet: 0.6571, IoU.poster: 0.3105, IoU.stage: 0.2470, IoU.van: 0.5119, IoU.ship: 0.7690, IoU.fountain: 0.3657, IoU.conveyer belt: 0.7918, IoU.canopy: 0.5154, IoU.washer: 0.8528, IoU.plaything: 0.3170, IoU.swimming pool: 0.4448, IoU.stool: 0.5071, IoU.barrel: 0.5959, IoU.basket: 0.4460, IoU.waterfall: 0.4806, IoU.tent: 0.9576, IoU.bag: 0.2798, IoU.minibike: 0.7382, IoU.cradle: 0.8691, IoU.oven: 0.6426, IoU.ball: 0.4795, IoU.food: 0.6252, IoU.step: 0.1296, IoU.tank: 0.6273, IoU.trade name: 0.2925, IoU.microwave: 0.9014, IoU.pot: 0.5835, IoU.animal: 0.7151, IoU.bicycle: 0.6086, IoU.lake: 0.5313, IoU.dishwasher: 0.7223, IoU.screen: 0.5209, IoU.blanket: 0.2865, IoU.sculpture: 0.7431, IoU.hood: 0.6120, IoU.sconce: 0.5418, IoU.vase: 0.4673, IoU.traffic light: 0.3670, IoU.tray: 0.2122, IoU.ashcan: 0.5119, IoU.fan: 0.6310, IoU.pier: 0.3884, IoU.crt screen: 0.1013, IoU.plate: 0.6004, IoU.monitor: 0.4505, IoU.bulletin board: 0.5349, IoU.shower: 0.1183, IoU.radiator: 0.6437, IoU.glass: 0.1818, IoU.clock: 0.4792, IoU.flag: 0.6010, Acc.wall: 0.8987, Acc.building: 0.9359, Acc.sky: 0.9768, Acc.floor: 0.9137, Acc.tree: 0.8818, Acc.ceiling: 0.9377, Acc.road: 0.9057, Acc.bed : 0.9764, Acc.windowpane: 0.7991, Acc.grass: 0.8178, Acc.cabinet: 0.7490, Acc.sidewalk: 0.8592, Acc.person: 0.9417, Acc.earth: 0.5195, Acc.door: 0.7731, Acc.table: 0.8206, Acc.mountain: 0.7805, Acc.plant: 0.6820, Acc.curtain: 0.8799, Acc.chair: 0.7384, Acc.car: 0.9402, Acc.water: 0.7204, Acc.painting: 0.8886, Acc.sofa: 0.8645, Acc.shelf: 0.6192, Acc.house: 0.6311, Acc.sea: 0.8721, Acc.mirror: 0.8746, Acc.rug: 0.7431, Acc.field: 0.5558, Acc.armchair: 0.8019, Acc.seat: 0.8708, Acc.fence: 0.6514, Acc.desk: 0.7893, Acc.rock: 0.8371, Acc.wardrobe: 0.6874, Acc.lamp: 0.8255, Acc.bathtub: 0.8842, Acc.railing: 0.5744, Acc.cushion: 0.8092, Acc.base: 0.4849, Acc.box: 0.5372, Acc.column: 0.6222, Acc.signboard: 0.5348, Acc.chest of drawers: 0.7875, Acc.counter: 0.4805, Acc.sand: 0.8479, Acc.sink: 0.8640, Acc.skyscraper: 0.5697, Acc.fireplace: 0.8979, Acc.refrigerator: 0.9400, Acc.grandstand: 0.8300, Acc.path: 0.3146, Acc.stairs: 0.3178, Acc.runway: 0.9683, Acc.case: 0.8292, Acc.pool table: 0.9736, Acc.pillow: 0.6725, Acc.screen door: 0.7497, Acc.stairway: 0.5588, Acc.river: 0.2733, Acc.bridge: 0.8730, Acc.bookcase: 0.6009, Acc.blind: 0.4495, Acc.coffee table: 0.8435, Acc.toilet: 0.9274, Acc.flower: 0.5681, Acc.book: 0.7375, Acc.hill: 0.1949, Acc.bench: 0.6027, Acc.countertop: 0.8227, Acc.stove: 0.9311, Acc.palm: 0.8420, Acc.kitchen island: 0.8121, Acc.computer: 0.8810, Acc.swivel chair: 0.6242, Acc.boat: 0.8942, Acc.bar: 0.8513, Acc.arcade machine: 0.7061, Acc.hovel: 0.2400, Acc.bus: 0.9677, Acc.towel: 0.8323, Acc.light: 0.5044, Acc.truck: 0.6171, Acc.tower: 0.4650, Acc.chandelier: 0.8624, Acc.awning: 0.4248, Acc.streetlight: 0.3612, Acc.booth: 0.7336, Acc.television receiver: 0.8922, Acc.airplane: 0.8081, Acc.dirt track: 0.3726, Acc.apparel: 0.8212, Acc.pole: 0.3470, Acc.land: 0.0767, Acc.bannister: 0.1970, Acc.escalator: 0.8242, Acc.ottoman: 0.7173, Acc.bottle: 0.5889, Acc.buffet: 0.7673, Acc.poster: 0.3665, Acc.stage: 0.4150, Acc.van: 0.6809, Acc.ship: 0.8033, Acc.fountain: 0.3683, Acc.conveyer belt: 0.9426, Acc.canopy: 0.6615, Acc.washer: 0.8994, Acc.plaything: 0.4496, Acc.swimming pool: 0.8987, Acc.stool: 0.6562, Acc.barrel: 0.8160, Acc.basket: 0.5889, Acc.waterfall: 0.5969, Acc.tent: 0.9845, Acc.bag: 0.3268, Acc.minibike: 0.8726, Acc.cradle: 0.9769, Acc.oven: 0.7831, Acc.ball: 0.4983, Acc.food: 0.7409, Acc.step: 0.1536, Acc.tank: 0.6528, Acc.trade name: 0.3491, Acc.microwave: 0.9514, Acc.pot: 0.6645, Acc.animal: 0.7345, Acc.bicycle: 0.7893, Acc.lake: 0.6371, Acc.dishwasher: 0.8286, Acc.screen: 0.7361, Acc.blanket: 0.3625, Acc.sculpture: 0.8813, Acc.hood: 0.7296, Acc.sconce: 0.6796, Acc.vase: 0.6155, Acc.traffic light: 0.5729, Acc.tray: 0.2533, Acc.ashcan: 0.6531, Acc.fan: 0.7364, Acc.pier: 0.4527, Acc.crt screen: 0.2122, Acc.plate: 0.7346, Acc.monitor: 0.5311, Acc.bulletin board: 0.6381, Acc.shower: 0.1706, Acc.radiator: 0.7779, Acc.glass: 0.1929, Acc.clock: 0.6351, Acc.flag: 0.6772 2023-11-02 21:12:34,248 - mmseg - INFO - Iter [52050/80000] lr: 1.132e-06, eta: 10:20:49, time: 2.411, data_time: 1.202, memory: 38534, decode.loss_ce: 0.1603, decode.acc_seg: 93.1205, loss: 0.1603 2023-11-02 21:13:35,003 - mmseg - INFO - Iter [52100/80000] lr: 1.130e-06, eta: 10:19:40, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1482, decode.acc_seg: 93.6515, loss: 0.1482 2023-11-02 21:14:35,751 - mmseg - INFO - Iter [52150/80000] lr: 1.128e-06, eta: 10:18:30, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1642, decode.acc_seg: 92.8315, loss: 0.1642 2023-11-02 21:15:36,498 - mmseg - INFO - Iter [52200/80000] lr: 1.126e-06, eta: 10:17:20, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1646, decode.acc_seg: 93.0504, loss: 0.1646 2023-11-02 21:16:37,258 - mmseg - INFO - Iter [52250/80000] lr: 1.124e-06, eta: 10:16:10, time: 1.215, data_time: 0.008, memory: 38534, decode.loss_ce: 0.1679, decode.acc_seg: 93.0704, loss: 0.1679 2023-11-02 21:17:38,010 - mmseg - INFO - Iter [52300/80000] lr: 1.122e-06, eta: 10:15:01, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1612, decode.acc_seg: 93.1105, loss: 0.1612 2023-11-02 21:18:38,764 - mmseg - INFO - Iter [52350/80000] lr: 1.120e-06, eta: 10:13:51, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1672, decode.acc_seg: 92.6446, loss: 0.1672 2023-11-02 21:19:39,511 - mmseg - INFO - Iter [52400/80000] lr: 1.118e-06, eta: 10:12:41, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1623, decode.acc_seg: 93.2061, loss: 0.1623 2023-11-02 21:20:40,260 - mmseg - INFO - Iter [52450/80000] lr: 1.116e-06, eta: 10:11:32, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1610, decode.acc_seg: 93.1587, loss: 0.1610 2023-11-02 21:21:41,024 - mmseg - INFO - Iter [52500/80000] lr: 1.114e-06, eta: 10:10:22, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1629, decode.acc_seg: 93.0583, loss: 0.1629 2023-11-02 21:22:41,757 - mmseg - INFO - Iter [52550/80000] lr: 1.112e-06, eta: 10:09:12, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1605, decode.acc_seg: 93.0063, loss: 0.1605 2023-11-02 21:23:42,474 - mmseg - INFO - Iter [52600/80000] lr: 1.110e-06, eta: 10:08:03, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1594, decode.acc_seg: 93.2768, loss: 0.1594 2023-11-02 21:24:43,248 - mmseg - INFO - Iter [52650/80000] lr: 1.108e-06, eta: 10:06:53, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1567, decode.acc_seg: 93.2151, loss: 0.1567 2023-11-02 21:25:43,953 - mmseg - INFO - Iter [52700/80000] lr: 1.106e-06, eta: 10:05:43, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1654, decode.acc_seg: 92.9332, loss: 0.1654 2023-11-02 21:26:44,629 - mmseg - INFO - Iter [52750/80000] lr: 1.104e-06, eta: 10:04:34, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1566, decode.acc_seg: 93.2904, loss: 0.1566 2023-11-02 21:27:45,352 - mmseg - INFO - Iter [52800/80000] lr: 1.102e-06, eta: 10:03:24, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1662, decode.acc_seg: 92.6948, loss: 0.1662 2023-11-02 21:28:46,066 - mmseg - INFO - Iter [52850/80000] lr: 1.100e-06, eta: 10:02:15, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1566, decode.acc_seg: 93.2956, loss: 0.1566 2023-11-02 21:29:46,807 - mmseg - INFO - Iter [52900/80000] lr: 1.098e-06, eta: 10:01:05, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1740, decode.acc_seg: 92.6221, loss: 0.1740 2023-11-02 21:30:47,632 - mmseg - INFO - Iter [52950/80000] lr: 1.095e-06, eta: 9:59:56, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1583, decode.acc_seg: 93.1060, loss: 0.1583 2023-11-02 21:31:48,408 - mmseg - INFO - Saving checkpoint at 53000 iterations 2023-11-02 21:32:43,795 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 21:32:43,795 - mmseg - INFO - Iter [53000/80000] lr: 1.093e-06, eta: 9:59:15, time: 2.323, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1664, decode.acc_seg: 92.8745, loss: 0.1664 2023-11-02 21:33:46,449 - mmseg - INFO - per class results: 2023-11-02 21:33:46,455 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 81.21 | 90.17 | | building | 84.8 | 93.41 | | sky | 94.39 | 97.51 | | floor | 84.19 | 91.34 | | tree | 77.07 | 89.66 | | ceiling | 86.53 | 93.47 | | road | 85.86 | 91.22 | | bed | 92.36 | 96.74 | | windowpane | 66.31 | 79.99 | | grass | 67.11 | 83.71 | | cabinet | 66.69 | 76.36 | | sidewalk | 69.59 | 83.86 | | person | 83.55 | 93.37 | | earth | 40.66 | 53.92 | | door | 59.76 | 75.26 | | table | 69.59 | 82.86 | | mountain | 65.85 | 82.02 | | plant | 53.46 | 66.53 | | curtain | 77.95 | 89.21 | | chair | 63.57 | 75.34 | | car | 86.98 | 92.65 | | water | 61.71 | 76.94 | | painting | 79.84 | 88.34 | | sofa | 80.98 | 89.88 | | shelf | 48.85 | 65.2 | | house | 61.2 | 75.34 | | sea | 68.83 | 89.35 | | mirror | 77.53 | 85.46 | | rug | 65.08 | 74.33 | | field | 32.66 | 47.0 | | armchair | 63.37 | 81.94 | | seat | 65.16 | 87.46 | | fence | 49.07 | 64.55 | | desk | 59.5 | 78.72 | | rock | 58.4 | 80.22 | | wardrobe | 53.15 | 71.45 | | lamp | 71.82 | 83.41 | | bathtub | 86.99 | 89.89 | | railing | 40.48 | 57.76 | | cushion | 66.1 | 77.25 | | base | 36.78 | 53.17 | | box | 41.46 | 48.75 | | column | 50.41 | 64.67 | | signboard | 37.76 | 51.75 | | chest of drawers | 50.17 | 71.35 | | counter | 45.23 | 57.49 | | sand | 58.34 | 86.53 | | sink | 79.62 | 86.9 | | skyscraper | 43.07 | 55.54 | | fireplace | 72.47 | 89.48 | | refrigerator | 87.17 | 95.17 | | grandstand | 50.6 | 82.79 | | path | 31.88 | 42.06 | | stairs | 28.15 | 33.57 | | runway | 74.08 | 94.7 | | case | 60.34 | 77.06 | | pool table | 94.08 | 97.43 | | pillow | 63.87 | 75.52 | | screen door | 72.95 | 74.04 | | stairway | 38.77 | 52.2 | | river | 10.46 | 14.11 | | bridge | 75.78 | 84.69 | | bookcase | 38.56 | 52.27 | | blind | 42.83 | 48.95 | | coffee table | 63.39 | 85.08 | | toilet | 89.8 | 92.92 | | flower | 43.68 | 67.91 | | book | 50.54 | 76.52 | | hill | 10.28 | 12.5 | | bench | 54.66 | 61.85 | | countertop | 64.77 | 80.69 | | stove | 86.02 | 93.06 | | palm | 53.8 | 78.72 | | kitchen island | 51.44 | 81.28 | | computer | 77.7 | 88.34 | | swivel chair | 43.76 | 70.79 | | boat | 77.21 | 90.66 | | bar | 64.91 | 72.92 | | arcade machine | 49.96 | 50.78 | | hovel | 22.63 | 24.72 | | bus | 92.77 | 96.6 | | towel | 75.53 | 85.37 | | light | 47.86 | 55.96 | | truck | 50.84 | 71.1 | | tower | 30.05 | 46.26 | | chandelier | 70.15 | 81.95 | | awning | 34.57 | 44.8 | | streetlight | 28.38 | 38.35 | | booth | 53.84 | 60.58 | | television receiver | 75.45 | 90.36 | | airplane | 72.09 | 77.29 | | dirt track | 14.55 | 22.41 | | apparel | 54.88 | 85.96 | | pole | 23.97 | 32.49 | | land | 4.78 | 7.44 | | bannister | 17.89 | 23.45 | | escalator | 62.11 | 75.58 | | ottoman | 51.97 | 71.24 | | bottle | 42.73 | 58.72 | | buffet | 63.3 | 71.29 | | poster | 35.49 | 41.88 | | stage | 21.85 | 34.61 | | van | 53.4 | 70.66 | | ship | 77.53 | 80.15 | | fountain | 29.65 | 29.79 | | conveyer belt | 82.16 | 93.11 | | canopy | 53.06 | 70.4 | | washer | 87.4 | 92.23 | | plaything | 32.22 | 44.85 | | swimming pool | 70.18 | 76.0 | | stool | 50.27 | 68.23 | | barrel | 57.63 | 76.99 | | basket | 44.6 | 56.65 | | waterfall | 46.11 | 60.21 | | tent | 95.76 | 97.96 | | bag | 28.07 | 31.22 | | minibike | 73.34 | 86.67 | | cradle | 86.78 | 98.11 | | oven | 61.8 | 71.19 | | ball | 63.6 | 73.61 | | food | 65.36 | 76.26 | | step | 10.57 | 11.96 | | tank | 62.9 | 66.62 | | trade name | 23.45 | 25.57 | | microwave | 90.36 | 95.76 | | pot | 58.36 | 65.35 | | animal | 64.39 | 65.3 | | bicycle | 59.35 | 75.78 | | lake | 53.97 | 63.68 | | dishwasher | 74.82 | 81.78 | | screen | 60.71 | 85.4 | | blanket | 28.93 | 33.86 | | sculpture | 76.47 | 87.95 | | hood | 61.67 | 73.32 | | sconce | 52.54 | 66.15 | | vase | 47.42 | 62.89 | | traffic light | 35.27 | 59.96 | | tray | 20.78 | 27.94 | | ashcan | 50.31 | 63.22 | | fan | 64.31 | 76.52 | | pier | 38.82 | 46.87 | | crt screen | 9.0 | 18.89 | | plate | 60.67 | 75.47 | | monitor | 31.07 | 35.11 | | bulletin board | 54.2 | 69.54 | | shower | 10.6 | 12.33 | | radiator | 64.91 | 73.47 | | glass | 18.52 | 19.66 | | clock | 48.73 | 59.06 | | flag | 65.02 | 76.28 | +---------------------+-------+-------+ 2023-11-02 21:33:46,455 - mmseg - INFO - Summary: 2023-11-02 21:33:46,455 - mmseg - INFO - +-------+------+-------+ | aAcc | mIoU | mAcc | +-------+------+-------+ | 85.92 | 56.8 | 68.44 | +-------+------+-------+ 2023-11-02 21:33:46,456 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 21:33:46,456 - mmseg - INFO - Iter(val) [250] aAcc: 0.8592, mIoU: 0.5680, mAcc: 0.6844, IoU.wall: 0.8121, IoU.building: 0.8480, IoU.sky: 0.9439, IoU.floor: 0.8419, IoU.tree: 0.7707, IoU.ceiling: 0.8653, IoU.road: 0.8586, IoU.bed : 0.9236, IoU.windowpane: 0.6631, IoU.grass: 0.6711, IoU.cabinet: 0.6669, IoU.sidewalk: 0.6959, IoU.person: 0.8355, IoU.earth: 0.4066, IoU.door: 0.5976, IoU.table: 0.6959, IoU.mountain: 0.6585, IoU.plant: 0.5346, IoU.curtain: 0.7795, IoU.chair: 0.6357, IoU.car: 0.8698, IoU.water: 0.6171, IoU.painting: 0.7984, IoU.sofa: 0.8098, IoU.shelf: 0.4885, IoU.house: 0.6120, IoU.sea: 0.6883, IoU.mirror: 0.7753, IoU.rug: 0.6508, IoU.field: 0.3266, IoU.armchair: 0.6337, IoU.seat: 0.6516, IoU.fence: 0.4907, IoU.desk: 0.5950, IoU.rock: 0.5840, IoU.wardrobe: 0.5315, IoU.lamp: 0.7182, IoU.bathtub: 0.8699, IoU.railing: 0.4048, IoU.cushion: 0.6610, IoU.base: 0.3678, IoU.box: 0.4146, IoU.column: 0.5041, IoU.signboard: 0.3776, IoU.chest of drawers: 0.5017, IoU.counter: 0.4523, IoU.sand: 0.5834, IoU.sink: 0.7962, IoU.skyscraper: 0.4307, IoU.fireplace: 0.7247, IoU.refrigerator: 0.8717, IoU.grandstand: 0.5060, IoU.path: 0.3188, IoU.stairs: 0.2815, IoU.runway: 0.7408, IoU.case: 0.6034, IoU.pool table: 0.9408, IoU.pillow: 0.6387, IoU.screen door: 0.7295, IoU.stairway: 0.3877, IoU.river: 0.1046, IoU.bridge: 0.7578, IoU.bookcase: 0.3856, IoU.blind: 0.4283, IoU.coffee table: 0.6339, IoU.toilet: 0.8980, IoU.flower: 0.4368, IoU.book: 0.5054, IoU.hill: 0.1028, IoU.bench: 0.5466, IoU.countertop: 0.6477, IoU.stove: 0.8602, IoU.palm: 0.5380, IoU.kitchen island: 0.5144, IoU.computer: 0.7770, IoU.swivel chair: 0.4376, IoU.boat: 0.7721, IoU.bar: 0.6491, IoU.arcade machine: 0.4996, IoU.hovel: 0.2263, IoU.bus: 0.9277, IoU.towel: 0.7553, IoU.light: 0.4786, IoU.truck: 0.5084, IoU.tower: 0.3005, IoU.chandelier: 0.7015, IoU.awning: 0.3457, IoU.streetlight: 0.2838, IoU.booth: 0.5384, IoU.television receiver: 0.7545, IoU.airplane: 0.7209, IoU.dirt track: 0.1455, IoU.apparel: 0.5488, IoU.pole: 0.2397, IoU.land: 0.0478, IoU.bannister: 0.1789, IoU.escalator: 0.6211, IoU.ottoman: 0.5197, IoU.bottle: 0.4273, IoU.buffet: 0.6330, IoU.poster: 0.3549, IoU.stage: 0.2185, IoU.van: 0.5340, IoU.ship: 0.7753, IoU.fountain: 0.2965, IoU.conveyer belt: 0.8216, IoU.canopy: 0.5306, IoU.washer: 0.8740, IoU.plaything: 0.3222, IoU.swimming pool: 0.7018, IoU.stool: 0.5027, IoU.barrel: 0.5763, IoU.basket: 0.4460, IoU.waterfall: 0.4611, IoU.tent: 0.9576, IoU.bag: 0.2807, IoU.minibike: 0.7334, IoU.cradle: 0.8678, IoU.oven: 0.6180, IoU.ball: 0.6360, IoU.food: 0.6536, IoU.step: 0.1057, IoU.tank: 0.6290, IoU.trade name: 0.2345, IoU.microwave: 0.9036, IoU.pot: 0.5836, IoU.animal: 0.6439, IoU.bicycle: 0.5935, IoU.lake: 0.5397, IoU.dishwasher: 0.7482, IoU.screen: 0.6071, IoU.blanket: 0.2893, IoU.sculpture: 0.7647, IoU.hood: 0.6167, IoU.sconce: 0.5254, IoU.vase: 0.4742, IoU.traffic light: 0.3527, IoU.tray: 0.2078, IoU.ashcan: 0.5031, IoU.fan: 0.6431, IoU.pier: 0.3882, IoU.crt screen: 0.0900, IoU.plate: 0.6067, IoU.monitor: 0.3107, IoU.bulletin board: 0.5420, IoU.shower: 0.1060, IoU.radiator: 0.6491, IoU.glass: 0.1852, IoU.clock: 0.4873, IoU.flag: 0.6502, Acc.wall: 0.9017, Acc.building: 0.9341, Acc.sky: 0.9751, Acc.floor: 0.9134, Acc.tree: 0.8966, Acc.ceiling: 0.9347, Acc.road: 0.9122, Acc.bed : 0.9674, Acc.windowpane: 0.7999, Acc.grass: 0.8371, Acc.cabinet: 0.7636, Acc.sidewalk: 0.8386, Acc.person: 0.9337, Acc.earth: 0.5392, Acc.door: 0.7526, Acc.table: 0.8286, Acc.mountain: 0.8202, Acc.plant: 0.6653, Acc.curtain: 0.8921, Acc.chair: 0.7534, Acc.car: 0.9265, Acc.water: 0.7694, Acc.painting: 0.8834, Acc.sofa: 0.8988, Acc.shelf: 0.6520, Acc.house: 0.7534, Acc.sea: 0.8935, Acc.mirror: 0.8546, Acc.rug: 0.7433, Acc.field: 0.4700, Acc.armchair: 0.8194, Acc.seat: 0.8746, Acc.fence: 0.6455, Acc.desk: 0.7872, Acc.rock: 0.8022, Acc.wardrobe: 0.7145, Acc.lamp: 0.8341, Acc.bathtub: 0.8989, Acc.railing: 0.5776, Acc.cushion: 0.7725, Acc.base: 0.5317, Acc.box: 0.4875, Acc.column: 0.6467, Acc.signboard: 0.5175, Acc.chest of drawers: 0.7135, Acc.counter: 0.5749, Acc.sand: 0.8653, Acc.sink: 0.8690, Acc.skyscraper: 0.5554, Acc.fireplace: 0.8948, Acc.refrigerator: 0.9517, Acc.grandstand: 0.8279, Acc.path: 0.4206, Acc.stairs: 0.3357, Acc.runway: 0.9470, Acc.case: 0.7706, Acc.pool table: 0.9743, Acc.pillow: 0.7552, Acc.screen door: 0.7404, Acc.stairway: 0.5220, Acc.river: 0.1411, Acc.bridge: 0.8469, Acc.bookcase: 0.5227, Acc.blind: 0.4895, Acc.coffee table: 0.8508, Acc.toilet: 0.9292, Acc.flower: 0.6791, Acc.book: 0.7652, Acc.hill: 0.1250, Acc.bench: 0.6185, Acc.countertop: 0.8069, Acc.stove: 0.9306, Acc.palm: 0.7872, Acc.kitchen island: 0.8128, Acc.computer: 0.8834, Acc.swivel chair: 0.7079, Acc.boat: 0.9066, Acc.bar: 0.7292, Acc.arcade machine: 0.5078, Acc.hovel: 0.2472, Acc.bus: 0.9660, Acc.towel: 0.8537, Acc.light: 0.5596, Acc.truck: 0.7110, Acc.tower: 0.4626, Acc.chandelier: 0.8195, Acc.awning: 0.4480, Acc.streetlight: 0.3835, Acc.booth: 0.6058, Acc.television receiver: 0.9036, Acc.airplane: 0.7729, Acc.dirt track: 0.2241, Acc.apparel: 0.8596, Acc.pole: 0.3249, Acc.land: 0.0744, Acc.bannister: 0.2345, Acc.escalator: 0.7558, Acc.ottoman: 0.7124, Acc.bottle: 0.5872, Acc.buffet: 0.7129, Acc.poster: 0.4188, Acc.stage: 0.3461, Acc.van: 0.7066, Acc.ship: 0.8015, Acc.fountain: 0.2979, Acc.conveyer belt: 0.9311, Acc.canopy: 0.7040, Acc.washer: 0.9223, Acc.plaything: 0.4485, Acc.swimming pool: 0.7600, Acc.stool: 0.6823, Acc.barrel: 0.7699, Acc.basket: 0.5665, Acc.waterfall: 0.6021, Acc.tent: 0.9796, Acc.bag: 0.3122, Acc.minibike: 0.8667, Acc.cradle: 0.9811, Acc.oven: 0.7119, Acc.ball: 0.7361, Acc.food: 0.7626, Acc.step: 0.1196, Acc.tank: 0.6662, Acc.trade name: 0.2557, Acc.microwave: 0.9576, Acc.pot: 0.6535, Acc.animal: 0.6530, Acc.bicycle: 0.7578, Acc.lake: 0.6368, Acc.dishwasher: 0.8178, Acc.screen: 0.8540, Acc.blanket: 0.3386, Acc.sculpture: 0.8795, Acc.hood: 0.7332, Acc.sconce: 0.6615, Acc.vase: 0.6289, Acc.traffic light: 0.5996, Acc.tray: 0.2794, Acc.ashcan: 0.6322, Acc.fan: 0.7652, Acc.pier: 0.4687, Acc.crt screen: 0.1889, Acc.plate: 0.7547, Acc.monitor: 0.3511, Acc.bulletin board: 0.6954, Acc.shower: 0.1233, Acc.radiator: 0.7347, Acc.glass: 0.1966, Acc.clock: 0.5906, Acc.flag: 0.7628 2023-11-02 21:34:49,673 - mmseg - INFO - Iter [53050/80000] lr: 1.091e-06, eta: 9:58:38, time: 2.518, data_time: 1.307, memory: 38534, decode.loss_ce: 0.1674, decode.acc_seg: 92.7976, loss: 0.1674 2023-11-02 21:35:50,453 - mmseg - INFO - Iter [53100/80000] lr: 1.089e-06, eta: 9:57:28, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1607, decode.acc_seg: 92.9239, loss: 0.1607 2023-11-02 21:36:51,196 - mmseg - INFO - Iter [53150/80000] lr: 1.087e-06, eta: 9:56:19, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1601, decode.acc_seg: 93.2449, loss: 0.1601 2023-11-02 21:37:51,926 - mmseg - INFO - Iter [53200/80000] lr: 1.085e-06, eta: 9:55:09, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1631, decode.acc_seg: 93.0665, loss: 0.1631 2023-11-02 21:38:52,677 - mmseg - INFO - Iter [53250/80000] lr: 1.083e-06, eta: 9:54:00, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1544, decode.acc_seg: 93.3934, loss: 0.1544 2023-11-02 21:39:53,400 - mmseg - INFO - Iter [53300/80000] lr: 1.081e-06, eta: 9:52:50, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1590, decode.acc_seg: 93.2259, loss: 0.1590 2023-11-02 21:40:54,135 - mmseg - INFO - Iter [53350/80000] lr: 1.079e-06, eta: 9:51:41, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1594, decode.acc_seg: 93.1076, loss: 0.1594 2023-11-02 21:41:54,876 - mmseg - INFO - Iter [53400/80000] lr: 1.077e-06, eta: 9:50:31, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1558, decode.acc_seg: 93.3547, loss: 0.1558 2023-11-02 21:42:55,622 - mmseg - INFO - Iter [53450/80000] lr: 1.075e-06, eta: 9:49:22, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1556, decode.acc_seg: 93.3664, loss: 0.1556 2023-11-02 21:43:56,420 - mmseg - INFO - Iter [53500/80000] lr: 1.073e-06, eta: 9:48:12, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1528, decode.acc_seg: 93.5872, loss: 0.1528 2023-11-02 21:44:57,189 - mmseg - INFO - Iter [53550/80000] lr: 1.071e-06, eta: 9:47:03, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1602, decode.acc_seg: 93.2075, loss: 0.1602 2023-11-02 21:45:57,941 - mmseg - INFO - Iter [53600/80000] lr: 1.069e-06, eta: 9:45:53, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1664, decode.acc_seg: 92.8860, loss: 0.1664 2023-11-02 21:46:58,663 - mmseg - INFO - Iter [53650/80000] lr: 1.067e-06, eta: 9:44:44, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1517, decode.acc_seg: 93.5364, loss: 0.1517 2023-11-02 21:47:59,447 - mmseg - INFO - Iter [53700/80000] lr: 1.065e-06, eta: 9:43:34, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1564, decode.acc_seg: 93.2260, loss: 0.1564 2023-11-02 21:49:00,196 - mmseg - INFO - Iter [53750/80000] lr: 1.063e-06, eta: 9:42:25, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1679, decode.acc_seg: 92.9653, loss: 0.1679 2023-11-02 21:50:00,966 - mmseg - INFO - Iter [53800/80000] lr: 1.061e-06, eta: 9:41:15, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1726, decode.acc_seg: 92.6306, loss: 0.1726 2023-11-02 21:51:01,714 - mmseg - INFO - Iter [53850/80000] lr: 1.059e-06, eta: 9:40:06, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1665, decode.acc_seg: 92.9112, loss: 0.1665 2023-11-02 21:52:02,473 - mmseg - INFO - Iter [53900/80000] lr: 1.057e-06, eta: 9:38:57, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1626, decode.acc_seg: 93.0502, loss: 0.1626 2023-11-02 21:53:03,230 - mmseg - INFO - Iter [53950/80000] lr: 1.055e-06, eta: 9:37:47, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1534, decode.acc_seg: 93.5237, loss: 0.1534 2023-11-02 21:54:03,981 - mmseg - INFO - Saving checkpoint at 54000 iterations 2023-11-02 21:54:57,939 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 21:54:57,939 - mmseg - INFO - Iter [54000/80000] lr: 1.053e-06, eta: 9:37:04, time: 2.294, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1624, decode.acc_seg: 93.2064, loss: 0.1624 2023-11-02 21:56:07,845 - mmseg - INFO - per class results: 2023-11-02 21:56:07,850 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 81.23 | 89.76 | | building | 84.15 | 93.48 | | sky | 94.55 | 97.44 | | floor | 83.72 | 90.74 | | tree | 76.58 | 90.06 | | ceiling | 86.43 | 92.78 | | road | 86.63 | 91.53 | | bed | 91.93 | 97.02 | | windowpane | 66.94 | 83.31 | | grass | 69.05 | 81.61 | | cabinet | 66.78 | 76.1 | | sidewalk | 69.43 | 83.45 | | person | 83.54 | 93.08 | | earth | 39.99 | 55.05 | | door | 60.44 | 76.61 | | table | 70.48 | 82.69 | | mountain | 66.11 | 78.51 | | plant | 54.7 | 68.35 | | curtain | 78.22 | 87.62 | | chair | 63.55 | 76.23 | | car | 86.88 | 93.08 | | water | 62.1 | 78.84 | | painting | 80.31 | 89.73 | | sofa | 83.17 | 91.86 | | shelf | 44.83 | 59.42 | | house | 50.51 | 61.65 | | sea | 70.77 | 83.73 | | mirror | 76.77 | 86.0 | | rug | 64.93 | 77.43 | | field | 33.11 | 51.56 | | armchair | 64.1 | 80.61 | | seat | 65.25 | 88.49 | | fence | 50.41 | 65.25 | | desk | 59.64 | 76.97 | | rock | 60.31 | 79.32 | | wardrobe | 53.45 | 74.34 | | lamp | 72.03 | 83.44 | | bathtub | 85.18 | 88.16 | | railing | 40.39 | 57.76 | | cushion | 66.17 | 78.4 | | base | 37.59 | 51.96 | | box | 40.17 | 47.32 | | column | 48.86 | 58.6 | | signboard | 39.0 | 52.22 | | chest of drawers | 50.12 | 70.75 | | counter | 37.73 | 47.58 | | sand | 58.74 | 85.02 | | sink | 79.88 | 86.48 | | skyscraper | 46.69 | 61.47 | | fireplace | 72.35 | 92.48 | | refrigerator | 87.08 | 94.67 | | grandstand | 51.95 | 80.76 | | path | 32.32 | 45.19 | | stairs | 25.45 | 30.11 | | runway | 73.76 | 93.91 | | case | 59.46 | 80.32 | | pool table | 93.86 | 97.75 | | pillow | 62.23 | 72.7 | | screen door | 71.31 | 72.51 | | stairway | 37.89 | 56.18 | | river | 10.63 | 20.68 | | bridge | 73.88 | 84.19 | | bookcase | 40.82 | 60.16 | | blind | 41.57 | 45.48 | | coffee table | 64.4 | 84.04 | | toilet | 89.22 | 93.2 | | flower | 45.57 | 64.18 | | book | 51.8 | 74.45 | | hill | 13.74 | 20.09 | | bench | 55.13 | 63.38 | | countertop | 64.53 | 82.98 | | stove | 86.06 | 91.96 | | palm | 54.56 | 80.22 | | kitchen island | 53.54 | 77.23 | | computer | 77.82 | 89.9 | | swivel chair | 42.29 | 67.02 | | boat | 72.71 | 84.62 | | bar | 63.1 | 83.74 | | arcade machine | 56.88 | 58.49 | | hovel | 21.74 | 23.23 | | bus | 91.82 | 97.52 | | towel | 76.3 | 84.79 | | light | 49.15 | 58.42 | | truck | 50.56 | 60.03 | | tower | 34.11 | 66.91 | | chandelier | 70.55 | 82.31 | | awning | 32.18 | 40.93 | | streetlight | 27.09 | 35.23 | | booth | 60.5 | 68.86 | | television receiver | 75.09 | 89.95 | | airplane | 67.33 | 72.72 | | dirt track | 23.5 | 28.97 | | apparel | 54.6 | 80.84 | | pole | 23.62 | 34.05 | | land | 4.36 | 6.52 | | bannister | 15.94 | 21.62 | | escalator | 61.18 | 74.46 | | ottoman | 57.49 | 72.48 | | bottle | 42.9 | 62.45 | | buffet | 70.2 | 81.94 | | poster | 38.04 | 44.91 | | stage | 21.67 | 34.75 | | van | 47.88 | 72.84 | | ship | 69.87 | 78.14 | | fountain | 31.21 | 31.36 | | conveyer belt | 77.28 | 94.98 | | canopy | 50.58 | 66.42 | | washer | 85.52 | 90.32 | | plaything | 31.85 | 47.67 | | swimming pool | 64.26 | 81.65 | | stool | 53.23 | 66.98 | | barrel | 55.07 | 75.78 | | basket | 42.11 | 54.34 | | waterfall | 48.73 | 58.63 | | tent | 96.16 | 97.6 | | bag | 26.24 | 29.35 | | minibike | 72.38 | 87.89 | | cradle | 83.2 | 98.26 | | oven | 64.21 | 75.58 | | ball | 59.73 | 64.52 | | food | 64.07 | 77.88 | | step | 10.05 | 11.38 | | tank | 61.94 | 65.26 | | trade name | 29.24 | 33.75 | | microwave | 90.89 | 95.28 | | pot | 58.07 | 66.69 | | animal | 72.1 | 74.27 | | bicycle | 59.53 | 78.54 | | lake | 53.33 | 63.74 | | dishwasher | 73.69 | 80.98 | | screen | 58.4 | 87.97 | | blanket | 27.13 | 31.45 | | sculpture | 78.81 | 86.74 | | hood | 62.35 | 75.12 | | sconce | 54.83 | 68.33 | | vase | 47.02 | 65.68 | | traffic light | 37.16 | 55.24 | | tray | 22.07 | 29.47 | | ashcan | 50.93 | 66.01 | | fan | 64.6 | 76.27 | | pier | 39.25 | 44.01 | | crt screen | 6.98 | 13.09 | | plate | 60.62 | 76.39 | | monitor | 38.81 | 45.24 | | bulletin board | 55.06 | 73.48 | | shower | 10.9 | 20.18 | | radiator | 66.19 | 77.33 | | glass | 19.51 | 20.93 | | clock | 46.88 | 61.33 | | flag | 65.01 | 70.43 | +---------------------+-------+-------+ 2023-11-02 21:56:07,850 - mmseg - INFO - Summary: 2023-11-02 21:56:07,850 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 85.82 | 56.83 | 68.83 | +-------+-------+-------+ 2023-11-02 21:56:07,851 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 21:56:07,851 - mmseg - INFO - Iter(val) [250] aAcc: 0.8582, mIoU: 0.5683, mAcc: 0.6883, IoU.wall: 0.8123, IoU.building: 0.8415, IoU.sky: 0.9455, IoU.floor: 0.8372, IoU.tree: 0.7658, IoU.ceiling: 0.8643, IoU.road: 0.8663, IoU.bed : 0.9193, IoU.windowpane: 0.6694, IoU.grass: 0.6905, IoU.cabinet: 0.6678, IoU.sidewalk: 0.6943, IoU.person: 0.8354, IoU.earth: 0.3999, IoU.door: 0.6044, IoU.table: 0.7048, IoU.mountain: 0.6611, IoU.plant: 0.5470, IoU.curtain: 0.7822, IoU.chair: 0.6355, IoU.car: 0.8688, IoU.water: 0.6210, IoU.painting: 0.8031, IoU.sofa: 0.8317, IoU.shelf: 0.4483, IoU.house: 0.5051, IoU.sea: 0.7077, IoU.mirror: 0.7677, IoU.rug: 0.6493, IoU.field: 0.3311, IoU.armchair: 0.6410, IoU.seat: 0.6525, IoU.fence: 0.5041, IoU.desk: 0.5964, IoU.rock: 0.6031, IoU.wardrobe: 0.5345, IoU.lamp: 0.7203, IoU.bathtub: 0.8518, IoU.railing: 0.4039, IoU.cushion: 0.6617, IoU.base: 0.3759, IoU.box: 0.4017, IoU.column: 0.4886, IoU.signboard: 0.3900, IoU.chest of drawers: 0.5012, IoU.counter: 0.3773, IoU.sand: 0.5874, IoU.sink: 0.7988, IoU.skyscraper: 0.4669, IoU.fireplace: 0.7235, IoU.refrigerator: 0.8708, IoU.grandstand: 0.5195, IoU.path: 0.3232, IoU.stairs: 0.2545, IoU.runway: 0.7376, IoU.case: 0.5946, IoU.pool table: 0.9386, IoU.pillow: 0.6223, IoU.screen door: 0.7131, IoU.stairway: 0.3789, IoU.river: 0.1063, IoU.bridge: 0.7388, IoU.bookcase: 0.4082, IoU.blind: 0.4157, IoU.coffee table: 0.6440, IoU.toilet: 0.8922, IoU.flower: 0.4557, IoU.book: 0.5180, IoU.hill: 0.1374, IoU.bench: 0.5513, IoU.countertop: 0.6453, IoU.stove: 0.8606, IoU.palm: 0.5456, IoU.kitchen island: 0.5354, IoU.computer: 0.7782, IoU.swivel chair: 0.4229, IoU.boat: 0.7271, IoU.bar: 0.6310, IoU.arcade machine: 0.5688, IoU.hovel: 0.2174, IoU.bus: 0.9182, IoU.towel: 0.7630, IoU.light: 0.4915, IoU.truck: 0.5056, IoU.tower: 0.3411, IoU.chandelier: 0.7055, IoU.awning: 0.3218, IoU.streetlight: 0.2709, IoU.booth: 0.6050, IoU.television receiver: 0.7509, IoU.airplane: 0.6733, IoU.dirt track: 0.2350, IoU.apparel: 0.5460, IoU.pole: 0.2362, IoU.land: 0.0436, IoU.bannister: 0.1594, IoU.escalator: 0.6118, IoU.ottoman: 0.5749, IoU.bottle: 0.4290, IoU.buffet: 0.7020, IoU.poster: 0.3804, IoU.stage: 0.2167, IoU.van: 0.4788, IoU.ship: 0.6987, IoU.fountain: 0.3121, IoU.conveyer belt: 0.7728, IoU.canopy: 0.5058, IoU.washer: 0.8552, IoU.plaything: 0.3185, IoU.swimming pool: 0.6426, IoU.stool: 0.5323, IoU.barrel: 0.5507, IoU.basket: 0.4211, IoU.waterfall: 0.4873, IoU.tent: 0.9616, IoU.bag: 0.2624, IoU.minibike: 0.7238, IoU.cradle: 0.8320, IoU.oven: 0.6421, IoU.ball: 0.5973, IoU.food: 0.6407, IoU.step: 0.1005, IoU.tank: 0.6194, IoU.trade name: 0.2924, IoU.microwave: 0.9089, IoU.pot: 0.5807, IoU.animal: 0.7210, IoU.bicycle: 0.5953, IoU.lake: 0.5333, IoU.dishwasher: 0.7369, IoU.screen: 0.5840, IoU.blanket: 0.2713, IoU.sculpture: 0.7881, IoU.hood: 0.6235, IoU.sconce: 0.5483, IoU.vase: 0.4702, IoU.traffic light: 0.3716, IoU.tray: 0.2207, IoU.ashcan: 0.5093, IoU.fan: 0.6460, IoU.pier: 0.3925, IoU.crt screen: 0.0698, IoU.plate: 0.6062, IoU.monitor: 0.3881, IoU.bulletin board: 0.5506, IoU.shower: 0.1090, IoU.radiator: 0.6619, IoU.glass: 0.1951, IoU.clock: 0.4688, IoU.flag: 0.6501, Acc.wall: 0.8976, Acc.building: 0.9348, Acc.sky: 0.9744, Acc.floor: 0.9074, Acc.tree: 0.9006, Acc.ceiling: 0.9278, Acc.road: 0.9153, Acc.bed : 0.9702, Acc.windowpane: 0.8331, Acc.grass: 0.8161, Acc.cabinet: 0.7610, Acc.sidewalk: 0.8345, Acc.person: 0.9308, Acc.earth: 0.5505, Acc.door: 0.7661, Acc.table: 0.8269, Acc.mountain: 0.7851, Acc.plant: 0.6835, Acc.curtain: 0.8762, Acc.chair: 0.7623, Acc.car: 0.9308, Acc.water: 0.7884, Acc.painting: 0.8973, Acc.sofa: 0.9186, Acc.shelf: 0.5942, Acc.house: 0.6165, Acc.sea: 0.8373, Acc.mirror: 0.8600, Acc.rug: 0.7743, Acc.field: 0.5156, Acc.armchair: 0.8061, Acc.seat: 0.8849, Acc.fence: 0.6525, Acc.desk: 0.7697, Acc.rock: 0.7932, Acc.wardrobe: 0.7434, Acc.lamp: 0.8344, Acc.bathtub: 0.8816, Acc.railing: 0.5776, Acc.cushion: 0.7840, Acc.base: 0.5196, Acc.box: 0.4732, Acc.column: 0.5860, Acc.signboard: 0.5222, Acc.chest of drawers: 0.7075, Acc.counter: 0.4758, Acc.sand: 0.8502, Acc.sink: 0.8648, Acc.skyscraper: 0.6147, Acc.fireplace: 0.9248, Acc.refrigerator: 0.9467, Acc.grandstand: 0.8076, Acc.path: 0.4519, Acc.stairs: 0.3011, Acc.runway: 0.9391, Acc.case: 0.8032, Acc.pool table: 0.9775, Acc.pillow: 0.7270, Acc.screen door: 0.7251, Acc.stairway: 0.5618, Acc.river: 0.2068, Acc.bridge: 0.8419, Acc.bookcase: 0.6016, Acc.blind: 0.4548, Acc.coffee table: 0.8404, Acc.toilet: 0.9320, Acc.flower: 0.6418, Acc.book: 0.7445, Acc.hill: 0.2009, Acc.bench: 0.6338, Acc.countertop: 0.8298, Acc.stove: 0.9196, Acc.palm: 0.8022, Acc.kitchen island: 0.7723, Acc.computer: 0.8990, Acc.swivel chair: 0.6702, Acc.boat: 0.8462, Acc.bar: 0.8374, Acc.arcade machine: 0.5849, Acc.hovel: 0.2323, Acc.bus: 0.9752, Acc.towel: 0.8479, Acc.light: 0.5842, Acc.truck: 0.6003, Acc.tower: 0.6691, Acc.chandelier: 0.8231, Acc.awning: 0.4093, Acc.streetlight: 0.3523, Acc.booth: 0.6886, Acc.television receiver: 0.8995, Acc.airplane: 0.7272, Acc.dirt track: 0.2897, Acc.apparel: 0.8084, Acc.pole: 0.3405, Acc.land: 0.0652, Acc.bannister: 0.2162, Acc.escalator: 0.7446, Acc.ottoman: 0.7248, Acc.bottle: 0.6245, Acc.buffet: 0.8194, Acc.poster: 0.4491, Acc.stage: 0.3475, Acc.van: 0.7284, Acc.ship: 0.7814, Acc.fountain: 0.3136, Acc.conveyer belt: 0.9498, Acc.canopy: 0.6642, Acc.washer: 0.9032, Acc.plaything: 0.4767, Acc.swimming pool: 0.8165, Acc.stool: 0.6698, Acc.barrel: 0.7578, Acc.basket: 0.5434, Acc.waterfall: 0.5863, Acc.tent: 0.9760, Acc.bag: 0.2935, Acc.minibike: 0.8789, Acc.cradle: 0.9826, Acc.oven: 0.7558, Acc.ball: 0.6452, Acc.food: 0.7788, Acc.step: 0.1138, Acc.tank: 0.6526, Acc.trade name: 0.3375, Acc.microwave: 0.9528, Acc.pot: 0.6669, Acc.animal: 0.7427, Acc.bicycle: 0.7854, Acc.lake: 0.6374, Acc.dishwasher: 0.8098, Acc.screen: 0.8797, Acc.blanket: 0.3145, Acc.sculpture: 0.8674, Acc.hood: 0.7512, Acc.sconce: 0.6833, Acc.vase: 0.6568, Acc.traffic light: 0.5524, Acc.tray: 0.2947, Acc.ashcan: 0.6601, Acc.fan: 0.7627, Acc.pier: 0.4401, Acc.crt screen: 0.1309, Acc.plate: 0.7639, Acc.monitor: 0.4524, Acc.bulletin board: 0.7348, Acc.shower: 0.2018, Acc.radiator: 0.7733, Acc.glass: 0.2093, Acc.clock: 0.6133, Acc.flag: 0.7043 2023-11-02 21:57:08,668 - mmseg - INFO - Iter [54050/80000] lr: 1.051e-06, eta: 9:36:28, time: 2.615, data_time: 1.406, memory: 38534, decode.loss_ce: 0.1541, decode.acc_seg: 93.3573, loss: 0.1541 2023-11-02 21:58:09,389 - mmseg - INFO - Iter [54100/80000] lr: 1.049e-06, eta: 9:35:19, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1621, decode.acc_seg: 92.8679, loss: 0.1621 2023-11-02 21:59:10,150 - mmseg - INFO - Iter [54150/80000] lr: 1.047e-06, eta: 9:34:09, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1676, decode.acc_seg: 92.7996, loss: 0.1676 2023-11-02 22:00:10,958 - mmseg - INFO - Iter [54200/80000] lr: 1.045e-06, eta: 9:33:00, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1644, decode.acc_seg: 93.1286, loss: 0.1644 2023-11-02 22:01:13,361 - mmseg - INFO - Iter [54250/80000] lr: 1.043e-06, eta: 9:31:51, time: 1.248, data_time: 0.040, memory: 38534, decode.loss_ce: 0.1596, decode.acc_seg: 93.3206, loss: 0.1596 2023-11-02 22:02:14,140 - mmseg - INFO - Iter [54300/80000] lr: 1.041e-06, eta: 9:30:42, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1599, decode.acc_seg: 93.2730, loss: 0.1599 2023-11-02 22:03:17,446 - mmseg - INFO - Iter [54350/80000] lr: 1.039e-06, eta: 9:29:34, time: 1.266, data_time: 0.056, memory: 38534, decode.loss_ce: 0.1499, decode.acc_seg: 93.5065, loss: 0.1499 2023-11-02 22:04:18,195 - mmseg - INFO - Iter [54400/80000] lr: 1.037e-06, eta: 9:28:24, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1630, decode.acc_seg: 93.1126, loss: 0.1630 2023-11-02 22:05:18,933 - mmseg - INFO - Iter [54450/80000] lr: 1.035e-06, eta: 9:27:15, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1524, decode.acc_seg: 93.5403, loss: 0.1524 2023-11-02 22:06:19,688 - mmseg - INFO - Iter [54500/80000] lr: 1.033e-06, eta: 9:26:06, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1617, decode.acc_seg: 93.1524, loss: 0.1617 2023-11-02 22:07:20,446 - mmseg - INFO - Iter [54550/80000] lr: 1.031e-06, eta: 9:24:56, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1607, decode.acc_seg: 93.1643, loss: 0.1607 2023-11-02 22:08:21,234 - mmseg - INFO - Iter [54600/80000] lr: 1.029e-06, eta: 9:23:47, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1583, decode.acc_seg: 93.2697, loss: 0.1583 2023-11-02 22:09:21,994 - mmseg - INFO - Iter [54650/80000] lr: 1.027e-06, eta: 9:22:38, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1611, decode.acc_seg: 93.3283, loss: 0.1611 2023-11-02 22:10:22,771 - mmseg - INFO - Iter [54700/80000] lr: 1.025e-06, eta: 9:21:28, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1605, decode.acc_seg: 93.1741, loss: 0.1605 2023-11-02 22:11:23,467 - mmseg - INFO - Iter [54750/80000] lr: 1.023e-06, eta: 9:20:19, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1613, decode.acc_seg: 93.1994, loss: 0.1613 2023-11-02 22:12:24,172 - mmseg - INFO - Iter [54800/80000] lr: 1.021e-06, eta: 9:19:10, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1436, decode.acc_seg: 93.7064, loss: 0.1436 2023-11-02 22:13:24,915 - mmseg - INFO - Iter [54850/80000] lr: 1.019e-06, eta: 9:18:01, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1544, decode.acc_seg: 93.2485, loss: 0.1544 2023-11-02 22:14:25,650 - mmseg - INFO - Iter [54900/80000] lr: 1.017e-06, eta: 9:16:51, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1500, decode.acc_seg: 93.3986, loss: 0.1500 2023-11-02 22:15:26,352 - mmseg - INFO - Iter [54950/80000] lr: 1.014e-06, eta: 9:15:42, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1601, decode.acc_seg: 93.3361, loss: 0.1601 2023-11-02 22:16:27,097 - mmseg - INFO - Saving checkpoint at 55000 iterations 2023-11-02 22:17:22,850 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 22:17:22,850 - mmseg - INFO - Iter [55000/80000] lr: 1.012e-06, eta: 9:14:58, time: 2.330, data_time: 0.008, memory: 38534, decode.loss_ce: 0.1607, decode.acc_seg: 93.0766, loss: 0.1607 2023-11-02 22:18:20,901 - mmseg - INFO - per class results: 2023-11-02 22:18:20,906 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 81.01 | 89.14 | | building | 84.65 | 93.32 | | sky | 94.58 | 97.53 | | floor | 84.06 | 91.31 | | tree | 76.69 | 89.91 | | ceiling | 86.41 | 93.69 | | road | 86.1 | 90.75 | | bed | 92.22 | 97.05 | | windowpane | 66.92 | 81.47 | | grass | 68.81 | 83.11 | | cabinet | 66.91 | 76.39 | | sidewalk | 70.27 | 86.02 | | person | 83.39 | 93.37 | | earth | 40.61 | 54.9 | | door | 60.37 | 74.5 | | table | 70.2 | 83.2 | | mountain | 62.52 | 72.92 | | plant | 55.12 | 67.78 | | curtain | 78.08 | 89.98 | | chair | 63.87 | 75.78 | | car | 86.8 | 93.44 | | water | 63.66 | 80.5 | | painting | 78.45 | 89.8 | | sofa | 81.9 | 90.32 | | shelf | 49.17 | 66.73 | | house | 54.3 | 67.3 | | sea | 70.27 | 83.37 | | mirror | 78.45 | 88.22 | | rug | 64.42 | 77.75 | | field | 30.17 | 48.45 | | armchair | 64.26 | 80.94 | | seat | 64.12 | 89.09 | | fence | 51.2 | 70.97 | | desk | 60.06 | 76.0 | | rock | 60.24 | 85.05 | | wardrobe | 52.87 | 70.15 | | lamp | 71.52 | 82.9 | | bathtub | 84.51 | 87.45 | | railing | 40.88 | 59.31 | | cushion | 66.21 | 80.09 | | base | 38.89 | 50.23 | | box | 40.39 | 48.87 | | column | 51.4 | 65.8 | | signboard | 39.0 | 51.97 | | chest of drawers | 49.41 | 74.94 | | counter | 44.24 | 56.81 | | sand | 59.02 | 84.87 | | sink | 80.0 | 86.7 | | skyscraper | 42.83 | 52.83 | | fireplace | 71.19 | 89.17 | | refrigerator | 86.34 | 94.46 | | grandstand | 48.55 | 84.2 | | path | 30.12 | 39.16 | | stairs | 28.65 | 36.09 | | runway | 74.78 | 96.29 | | case | 60.1 | 81.37 | | pool table | 94.01 | 97.62 | | pillow | 63.57 | 75.16 | | screen door | 76.76 | 78.26 | | stairway | 40.35 | 54.15 | | river | 12.02 | 20.05 | | bridge | 78.31 | 87.12 | | bookcase | 41.98 | 56.29 | | blind | 41.68 | 47.78 | | coffee table | 64.78 | 82.91 | | toilet | 89.81 | 92.96 | | flower | 43.35 | 62.6 | | book | 51.23 | 74.08 | | hill | 14.91 | 20.62 | | bench | 53.69 | 62.68 | | countertop | 64.27 | 80.97 | | stove | 86.36 | 91.75 | | palm | 52.9 | 81.4 | | kitchen island | 54.31 | 73.7 | | computer | 76.18 | 89.27 | | swivel chair | 43.4 | 65.54 | | boat | 76.81 | 90.81 | | bar | 62.0 | 85.45 | | arcade machine | 63.0 | 64.77 | | hovel | 28.01 | 30.02 | | bus | 91.92 | 97.14 | | towel | 76.3 | 85.57 | | light | 46.96 | 54.56 | | truck | 49.73 | 62.07 | | tower | 32.86 | 46.73 | | chandelier | 70.74 | 82.72 | | awning | 35.36 | 45.54 | | streetlight | 27.35 | 36.11 | | booth | 55.78 | 79.17 | | television receiver | 75.81 | 90.75 | | airplane | 78.1 | 84.34 | | dirt track | 24.44 | 50.88 | | apparel | 53.54 | 79.58 | | pole | 19.91 | 29.71 | | land | 5.27 | 7.77 | | bannister | 17.79 | 23.58 | | escalator | 65.77 | 81.75 | | ottoman | 56.16 | 72.55 | | bottle | 43.49 | 60.7 | | buffet | 64.38 | 75.63 | | poster | 38.4 | 45.98 | | stage | 17.18 | 29.76 | | van | 49.58 | 71.77 | | ship | 71.97 | 73.96 | | fountain | 35.72 | 35.89 | | conveyer belt | 78.09 | 94.35 | | canopy | 48.73 | 62.16 | | washer | 86.46 | 91.85 | | plaything | 32.89 | 49.07 | | swimming pool | 56.39 | 76.85 | | stool | 47.68 | 68.11 | | barrel | 51.06 | 86.15 | | basket | 43.18 | 57.01 | | waterfall | 47.96 | 60.43 | | tent | 96.25 | 98.03 | | bag | 27.96 | 32.59 | | minibike | 71.79 | 87.4 | | cradle | 87.81 | 97.36 | | oven | 63.28 | 77.67 | | ball | 62.8 | 74.32 | | food | 63.65 | 74.68 | | step | 12.55 | 14.8 | | tank | 62.28 | 66.17 | | trade name | 26.51 | 30.54 | | microwave | 90.54 | 95.33 | | pot | 58.25 | 65.97 | | animal | 73.28 | 75.8 | | bicycle | 60.06 | 82.81 | | lake | 52.9 | 64.04 | | dishwasher | 73.12 | 83.06 | | screen | 56.91 | 77.32 | | blanket | 27.72 | 32.31 | | sculpture | 74.82 | 88.99 | | hood | 61.77 | 71.71 | | sconce | 55.34 | 70.75 | | vase | 46.88 | 64.41 | | traffic light | 35.51 | 59.58 | | tray | 21.52 | 27.75 | | ashcan | 50.96 | 64.68 | | fan | 65.26 | 81.41 | | pier | 38.19 | 43.69 | | crt screen | 8.31 | 19.67 | | plate | 61.15 | 75.61 | | monitor | 30.1 | 34.69 | | bulletin board | 55.39 | 72.39 | | shower | 11.94 | 15.36 | | radiator | 65.16 | 79.32 | | glass | 19.4 | 20.94 | | clock | 49.32 | 66.46 | | flag | 66.15 | 72.96 | +---------------------+-------+-------+ 2023-11-02 22:18:20,906 - mmseg - INFO - Summary: 2023-11-02 22:18:20,906 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 85.87 | 56.98 | 69.47 | +-------+-------+-------+ 2023-11-02 22:18:20,907 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 22:18:20,907 - mmseg - INFO - Iter(val) [250] aAcc: 0.8587, mIoU: 0.5698, mAcc: 0.6947, IoU.wall: 0.8101, IoU.building: 0.8465, IoU.sky: 0.9458, IoU.floor: 0.8406, IoU.tree: 0.7669, IoU.ceiling: 0.8641, IoU.road: 0.8610, IoU.bed : 0.9222, IoU.windowpane: 0.6692, IoU.grass: 0.6881, IoU.cabinet: 0.6691, IoU.sidewalk: 0.7027, IoU.person: 0.8339, IoU.earth: 0.4061, IoU.door: 0.6037, IoU.table: 0.7020, IoU.mountain: 0.6252, IoU.plant: 0.5512, IoU.curtain: 0.7808, IoU.chair: 0.6387, IoU.car: 0.8680, IoU.water: 0.6366, IoU.painting: 0.7845, IoU.sofa: 0.8190, IoU.shelf: 0.4917, IoU.house: 0.5430, IoU.sea: 0.7027, IoU.mirror: 0.7845, IoU.rug: 0.6442, IoU.field: 0.3017, IoU.armchair: 0.6426, IoU.seat: 0.6412, IoU.fence: 0.5120, IoU.desk: 0.6006, IoU.rock: 0.6024, IoU.wardrobe: 0.5287, IoU.lamp: 0.7152, IoU.bathtub: 0.8451, IoU.railing: 0.4088, IoU.cushion: 0.6621, IoU.base: 0.3889, IoU.box: 0.4039, IoU.column: 0.5140, IoU.signboard: 0.3900, IoU.chest of drawers: 0.4941, IoU.counter: 0.4424, IoU.sand: 0.5902, IoU.sink: 0.8000, IoU.skyscraper: 0.4283, IoU.fireplace: 0.7119, IoU.refrigerator: 0.8634, IoU.grandstand: 0.4855, IoU.path: 0.3012, IoU.stairs: 0.2865, IoU.runway: 0.7478, IoU.case: 0.6010, IoU.pool table: 0.9401, IoU.pillow: 0.6357, IoU.screen door: 0.7676, IoU.stairway: 0.4035, IoU.river: 0.1202, IoU.bridge: 0.7831, IoU.bookcase: 0.4198, IoU.blind: 0.4168, IoU.coffee table: 0.6478, IoU.toilet: 0.8981, IoU.flower: 0.4335, IoU.book: 0.5123, IoU.hill: 0.1491, IoU.bench: 0.5369, IoU.countertop: 0.6427, IoU.stove: 0.8636, IoU.palm: 0.5290, IoU.kitchen island: 0.5431, IoU.computer: 0.7618, IoU.swivel chair: 0.4340, IoU.boat: 0.7681, IoU.bar: 0.6200, IoU.arcade machine: 0.6300, IoU.hovel: 0.2801, IoU.bus: 0.9192, IoU.towel: 0.7630, IoU.light: 0.4696, IoU.truck: 0.4973, IoU.tower: 0.3286, IoU.chandelier: 0.7074, IoU.awning: 0.3536, IoU.streetlight: 0.2735, IoU.booth: 0.5578, IoU.television receiver: 0.7581, IoU.airplane: 0.7810, IoU.dirt track: 0.2444, IoU.apparel: 0.5354, IoU.pole: 0.1991, IoU.land: 0.0527, IoU.bannister: 0.1779, IoU.escalator: 0.6577, IoU.ottoman: 0.5616, IoU.bottle: 0.4349, IoU.buffet: 0.6438, IoU.poster: 0.3840, IoU.stage: 0.1718, IoU.van: 0.4958, IoU.ship: 0.7197, IoU.fountain: 0.3572, IoU.conveyer belt: 0.7809, IoU.canopy: 0.4873, IoU.washer: 0.8646, IoU.plaything: 0.3289, IoU.swimming pool: 0.5639, IoU.stool: 0.4768, IoU.barrel: 0.5106, IoU.basket: 0.4318, IoU.waterfall: 0.4796, IoU.tent: 0.9625, IoU.bag: 0.2796, IoU.minibike: 0.7179, IoU.cradle: 0.8781, IoU.oven: 0.6328, IoU.ball: 0.6280, IoU.food: 0.6365, IoU.step: 0.1255, IoU.tank: 0.6228, IoU.trade name: 0.2651, IoU.microwave: 0.9054, IoU.pot: 0.5825, IoU.animal: 0.7328, IoU.bicycle: 0.6006, IoU.lake: 0.5290, IoU.dishwasher: 0.7312, IoU.screen: 0.5691, IoU.blanket: 0.2772, IoU.sculpture: 0.7482, IoU.hood: 0.6177, IoU.sconce: 0.5534, IoU.vase: 0.4688, IoU.traffic light: 0.3551, IoU.tray: 0.2152, IoU.ashcan: 0.5096, IoU.fan: 0.6526, IoU.pier: 0.3819, IoU.crt screen: 0.0831, IoU.plate: 0.6115, IoU.monitor: 0.3010, IoU.bulletin board: 0.5539, IoU.shower: 0.1194, IoU.radiator: 0.6516, IoU.glass: 0.1940, IoU.clock: 0.4932, IoU.flag: 0.6615, Acc.wall: 0.8914, Acc.building: 0.9332, Acc.sky: 0.9753, Acc.floor: 0.9131, Acc.tree: 0.8991, Acc.ceiling: 0.9369, Acc.road: 0.9075, Acc.bed : 0.9705, Acc.windowpane: 0.8147, Acc.grass: 0.8311, Acc.cabinet: 0.7639, Acc.sidewalk: 0.8602, Acc.person: 0.9337, Acc.earth: 0.5490, Acc.door: 0.7450, Acc.table: 0.8320, Acc.mountain: 0.7292, Acc.plant: 0.6778, Acc.curtain: 0.8998, Acc.chair: 0.7578, Acc.car: 0.9344, Acc.water: 0.8050, Acc.painting: 0.8980, Acc.sofa: 0.9032, Acc.shelf: 0.6673, Acc.house: 0.6730, Acc.sea: 0.8337, Acc.mirror: 0.8822, Acc.rug: 0.7775, Acc.field: 0.4845, Acc.armchair: 0.8094, Acc.seat: 0.8909, Acc.fence: 0.7097, Acc.desk: 0.7600, Acc.rock: 0.8505, Acc.wardrobe: 0.7015, Acc.lamp: 0.8290, Acc.bathtub: 0.8745, Acc.railing: 0.5931, Acc.cushion: 0.8009, Acc.base: 0.5023, Acc.box: 0.4887, Acc.column: 0.6580, Acc.signboard: 0.5197, Acc.chest of drawers: 0.7494, Acc.counter: 0.5681, Acc.sand: 0.8487, Acc.sink: 0.8670, Acc.skyscraper: 0.5283, Acc.fireplace: 0.8917, Acc.refrigerator: 0.9446, Acc.grandstand: 0.8420, Acc.path: 0.3916, Acc.stairs: 0.3609, Acc.runway: 0.9629, Acc.case: 0.8137, Acc.pool table: 0.9762, Acc.pillow: 0.7516, Acc.screen door: 0.7826, Acc.stairway: 0.5415, Acc.river: 0.2005, Acc.bridge: 0.8712, Acc.bookcase: 0.5629, Acc.blind: 0.4778, Acc.coffee table: 0.8291, Acc.toilet: 0.9296, Acc.flower: 0.6260, Acc.book: 0.7408, Acc.hill: 0.2062, Acc.bench: 0.6268, Acc.countertop: 0.8097, Acc.stove: 0.9175, Acc.palm: 0.8140, Acc.kitchen island: 0.7370, Acc.computer: 0.8927, Acc.swivel chair: 0.6554, Acc.boat: 0.9081, Acc.bar: 0.8545, Acc.arcade machine: 0.6477, Acc.hovel: 0.3002, Acc.bus: 0.9714, Acc.towel: 0.8557, Acc.light: 0.5456, Acc.truck: 0.6207, Acc.tower: 0.4673, Acc.chandelier: 0.8272, Acc.awning: 0.4554, Acc.streetlight: 0.3611, Acc.booth: 0.7917, Acc.television receiver: 0.9075, Acc.airplane: 0.8434, Acc.dirt track: 0.5088, Acc.apparel: 0.7958, Acc.pole: 0.2971, Acc.land: 0.0777, Acc.bannister: 0.2358, Acc.escalator: 0.8175, Acc.ottoman: 0.7255, Acc.bottle: 0.6070, Acc.buffet: 0.7563, Acc.poster: 0.4598, Acc.stage: 0.2976, Acc.van: 0.7177, Acc.ship: 0.7396, Acc.fountain: 0.3589, Acc.conveyer belt: 0.9435, Acc.canopy: 0.6216, Acc.washer: 0.9185, Acc.plaything: 0.4907, Acc.swimming pool: 0.7685, Acc.stool: 0.6811, Acc.barrel: 0.8615, Acc.basket: 0.5701, Acc.waterfall: 0.6043, Acc.tent: 0.9803, Acc.bag: 0.3259, Acc.minibike: 0.8740, Acc.cradle: 0.9736, Acc.oven: 0.7767, Acc.ball: 0.7432, Acc.food: 0.7468, Acc.step: 0.1480, Acc.tank: 0.6617, Acc.trade name: 0.3054, Acc.microwave: 0.9533, Acc.pot: 0.6597, Acc.animal: 0.7580, Acc.bicycle: 0.8281, Acc.lake: 0.6404, Acc.dishwasher: 0.8306, Acc.screen: 0.7732, Acc.blanket: 0.3231, Acc.sculpture: 0.8899, Acc.hood: 0.7171, Acc.sconce: 0.7075, Acc.vase: 0.6441, Acc.traffic light: 0.5958, Acc.tray: 0.2775, Acc.ashcan: 0.6468, Acc.fan: 0.8141, Acc.pier: 0.4369, Acc.crt screen: 0.1967, Acc.plate: 0.7561, Acc.monitor: 0.3469, Acc.bulletin board: 0.7239, Acc.shower: 0.1536, Acc.radiator: 0.7932, Acc.glass: 0.2094, Acc.clock: 0.6646, Acc.flag: 0.7296 2023-11-02 22:19:21,618 - mmseg - INFO - Iter [55050/80000] lr: 1.010e-06, eta: 9:14:15, time: 2.375, data_time: 1.169, memory: 38534, decode.loss_ce: 0.1680, decode.acc_seg: 92.9169, loss: 0.1680 2023-11-02 22:20:22,232 - mmseg - INFO - Iter [55100/80000] lr: 1.008e-06, eta: 9:13:06, time: 1.212, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1538, decode.acc_seg: 93.3721, loss: 0.1538 2023-11-02 22:21:22,866 - mmseg - INFO - Iter [55150/80000] lr: 1.006e-06, eta: 9:11:57, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1620, decode.acc_seg: 93.1100, loss: 0.1620 2023-11-02 22:22:23,521 - mmseg - INFO - Iter [55200/80000] lr: 1.004e-06, eta: 9:10:47, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1560, decode.acc_seg: 93.3411, loss: 0.1560 2023-11-02 22:23:24,170 - mmseg - INFO - Iter [55250/80000] lr: 1.002e-06, eta: 9:09:38, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1580, decode.acc_seg: 93.2345, loss: 0.1580 2023-11-02 22:24:24,815 - mmseg - INFO - Iter [55300/80000] lr: 1.000e-06, eta: 9:08:29, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1647, decode.acc_seg: 93.0657, loss: 0.1647 2023-11-02 22:25:25,522 - mmseg - INFO - Iter [55350/80000] lr: 9.983e-07, eta: 9:07:19, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1631, decode.acc_seg: 93.0435, loss: 0.1631 2023-11-02 22:26:26,242 - mmseg - INFO - Iter [55400/80000] lr: 9.963e-07, eta: 9:06:10, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1594, decode.acc_seg: 93.2527, loss: 0.1594 2023-11-02 22:27:26,970 - mmseg - INFO - Iter [55450/80000] lr: 9.943e-07, eta: 9:05:01, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1469, decode.acc_seg: 93.5670, loss: 0.1469 2023-11-02 22:28:27,694 - mmseg - INFO - Iter [55500/80000] lr: 9.922e-07, eta: 9:03:52, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1565, decode.acc_seg: 93.3526, loss: 0.1565 2023-11-02 22:29:28,433 - mmseg - INFO - Iter [55550/80000] lr: 9.902e-07, eta: 9:02:43, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1591, decode.acc_seg: 93.0794, loss: 0.1591 2023-11-02 22:30:31,516 - mmseg - INFO - Iter [55600/80000] lr: 9.882e-07, eta: 9:01:35, time: 1.262, data_time: 0.053, memory: 38534, decode.loss_ce: 0.1602, decode.acc_seg: 93.2528, loss: 0.1602 2023-11-02 22:31:32,204 - mmseg - INFO - Iter [55650/80000] lr: 9.862e-07, eta: 9:00:25, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1603, decode.acc_seg: 93.2970, loss: 0.1603 2023-11-02 22:32:32,898 - mmseg - INFO - Iter [55700/80000] lr: 9.841e-07, eta: 8:59:16, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1548, decode.acc_seg: 93.3796, loss: 0.1548 2023-11-02 22:33:33,564 - mmseg - INFO - Iter [55750/80000] lr: 9.821e-07, eta: 8:58:07, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1461, decode.acc_seg: 93.6636, loss: 0.1461 2023-11-02 22:34:34,310 - mmseg - INFO - Iter [55800/80000] lr: 9.801e-07, eta: 8:56:58, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1556, decode.acc_seg: 93.4204, loss: 0.1556 2023-11-02 22:35:35,059 - mmseg - INFO - Iter [55850/80000] lr: 9.781e-07, eta: 8:55:49, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1568, decode.acc_seg: 93.3254, loss: 0.1568 2023-11-02 22:36:35,750 - mmseg - INFO - Iter [55900/80000] lr: 9.760e-07, eta: 8:54:40, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1477, decode.acc_seg: 93.4933, loss: 0.1477 2023-11-02 22:37:36,403 - mmseg - INFO - Iter [55950/80000] lr: 9.740e-07, eta: 8:53:31, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1496, decode.acc_seg: 93.3213, loss: 0.1496 2023-11-02 22:38:37,136 - mmseg - INFO - Saving checkpoint at 56000 iterations 2023-11-02 22:39:35,326 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 22:39:35,326 - mmseg - INFO - Iter [56000/80000] lr: 9.720e-07, eta: 8:52:47, time: 2.378, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1538, decode.acc_seg: 93.3123, loss: 0.1538 2023-11-02 22:40:36,675 - mmseg - INFO - per class results: 2023-11-02 22:40:36,680 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 81.16 | 89.8 | | building | 84.6 | 92.81 | | sky | 94.56 | 97.29 | | floor | 84.06 | 90.78 | | tree | 76.28 | 91.07 | | ceiling | 86.46 | 94.02 | | road | 86.17 | 90.79 | | bed | 92.11 | 97.24 | | windowpane | 66.78 | 80.9 | | grass | 69.34 | 83.63 | | cabinet | 66.44 | 76.16 | | sidewalk | 70.24 | 83.9 | | person | 83.73 | 93.18 | | earth | 41.42 | 54.95 | | door | 61.28 | 75.48 | | table | 70.49 | 82.89 | | mountain | 63.87 | 75.5 | | plant | 54.0 | 66.85 | | curtain | 77.17 | 88.76 | | chair | 63.97 | 77.34 | | car | 86.77 | 93.52 | | water | 63.24 | 80.21 | | painting | 78.42 | 88.71 | | sofa | 81.46 | 90.34 | | shelf | 49.06 | 65.18 | | house | 56.59 | 74.13 | | sea | 70.22 | 85.67 | | mirror | 77.47 | 87.36 | | rug | 63.97 | 74.71 | | field | 31.0 | 48.77 | | armchair | 62.91 | 82.44 | | seat | 65.33 | 88.46 | | fence | 52.19 | 71.18 | | desk | 57.64 | 77.76 | | rock | 58.5 | 84.59 | | wardrobe | 52.4 | 70.44 | | lamp | 70.81 | 83.12 | | bathtub | 88.03 | 90.95 | | railing | 40.24 | 55.11 | | cushion | 64.97 | 76.66 | | base | 40.51 | 53.37 | | box | 40.36 | 49.1 | | column | 50.56 | 60.72 | | signboard | 37.7 | 52.29 | | chest of drawers | 50.38 | 73.01 | | counter | 40.72 | 50.91 | | sand | 60.39 | 85.82 | | sink | 80.56 | 87.1 | | skyscraper | 39.11 | 51.74 | | fireplace | 71.37 | 90.93 | | refrigerator | 85.99 | 94.28 | | grandstand | 50.93 | 83.0 | | path | 28.45 | 39.39 | | stairs | 27.85 | 35.55 | | runway | 75.34 | 96.09 | | case | 59.01 | 78.52 | | pool table | 94.03 | 97.9 | | pillow | 63.15 | 74.46 | | screen door | 79.87 | 81.48 | | stairway | 41.75 | 55.6 | | river | 12.14 | 18.5 | | bridge | 77.72 | 85.97 | | bookcase | 42.6 | 57.94 | | blind | 42.08 | 50.18 | | coffee table | 64.69 | 82.36 | | toilet | 89.93 | 93.6 | | flower | 44.21 | 61.91 | | book | 51.32 | 73.64 | | hill | 9.43 | 12.32 | | bench | 52.97 | 59.6 | | countertop | 63.36 | 82.34 | | stove | 86.45 | 92.87 | | palm | 53.27 | 78.48 | | kitchen island | 46.53 | 70.09 | | computer | 77.66 | 89.36 | | swivel chair | 44.68 | 66.81 | | boat | 76.28 | 91.24 | | bar | 59.57 | 77.25 | | arcade machine | 71.9 | 74.57 | | hovel | 33.32 | 36.24 | | bus | 92.59 | 96.51 | | towel | 76.62 | 86.39 | | light | 46.89 | 54.23 | | truck | 48.9 | 66.68 | | tower | 33.1 | 50.62 | | chandelier | 69.37 | 82.98 | | awning | 36.07 | 46.64 | | streetlight | 29.29 | 40.34 | | booth | 59.68 | 74.3 | | television receiver | 76.04 | 88.96 | | airplane | 80.93 | 87.09 | | dirt track | 13.56 | 49.01 | | apparel | 50.73 | 67.75 | | pole | 22.46 | 30.76 | | land | 4.08 | 5.7 | | bannister | 18.29 | 24.05 | | escalator | 66.53 | 82.93 | | ottoman | 50.31 | 61.27 | | bottle | 43.05 | 62.26 | | buffet | 51.68 | 57.58 | | poster | 38.91 | 51.06 | | stage | 17.91 | 27.73 | | van | 51.81 | 70.03 | | ship | 76.56 | 82.25 | | fountain | 25.95 | 26.04 | | conveyer belt | 79.07 | 94.04 | | canopy | 48.88 | 60.96 | | washer | 86.21 | 91.27 | | plaything | 33.44 | 47.06 | | swimming pool | 61.99 | 75.66 | | stool | 50.6 | 65.44 | | barrel | 52.6 | 84.88 | | basket | 44.59 | 60.7 | | waterfall | 49.75 | 56.72 | | tent | 95.99 | 98.18 | | bag | 26.19 | 29.52 | | minibike | 73.13 | 85.26 | | cradle | 88.07 | 97.18 | | oven | 63.53 | 74.97 | | ball | 63.09 | 73.95 | | food | 65.19 | 75.57 | | step | 9.99 | 11.22 | | tank | 63.18 | 66.26 | | trade name | 23.01 | 26.05 | | microwave | 90.2 | 95.7 | | pot | 61.19 | 70.38 | | animal | 70.1 | 71.65 | | bicycle | 61.4 | 80.43 | | lake | 53.43 | 63.76 | | dishwasher | 74.01 | 81.88 | | screen | 65.97 | 91.12 | | blanket | 29.52 | 34.88 | | sculpture | 77.59 | 87.3 | | hood | 62.01 | 73.98 | | sconce | 54.7 | 69.82 | | vase | 47.37 | 63.29 | | traffic light | 34.91 | 56.83 | | tray | 22.2 | 35.97 | | ashcan | 51.62 | 63.18 | | fan | 62.51 | 72.58 | | pier | 40.13 | 44.91 | | crt screen | 2.6 | 6.21 | | plate | 60.3 | 75.94 | | monitor | 19.0 | 22.44 | | bulletin board | 53.01 | 65.37 | | shower | 10.55 | 17.56 | | radiator | 65.06 | 80.86 | | glass | 19.21 | 21.17 | | clock | 48.22 | 66.03 | | flag | 66.32 | 75.35 | +---------------------+-------+-------+ 2023-11-02 22:40:36,680 - mmseg - INFO - Summary: 2023-11-02 22:40:36,680 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 85.88 | 56.84 | 68.91 | +-------+-------+-------+ 2023-11-02 22:40:36,681 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 22:40:36,681 - mmseg - INFO - Iter(val) [250] aAcc: 0.8588, mIoU: 0.5684, mAcc: 0.6891, IoU.wall: 0.8116, IoU.building: 0.8460, IoU.sky: 0.9456, IoU.floor: 0.8406, IoU.tree: 0.7628, IoU.ceiling: 0.8646, IoU.road: 0.8617, IoU.bed : 0.9211, IoU.windowpane: 0.6678, IoU.grass: 0.6934, IoU.cabinet: 0.6644, IoU.sidewalk: 0.7024, IoU.person: 0.8373, IoU.earth: 0.4142, IoU.door: 0.6128, IoU.table: 0.7049, IoU.mountain: 0.6387, IoU.plant: 0.5400, IoU.curtain: 0.7717, IoU.chair: 0.6397, IoU.car: 0.8677, IoU.water: 0.6324, IoU.painting: 0.7842, IoU.sofa: 0.8146, IoU.shelf: 0.4906, IoU.house: 0.5659, IoU.sea: 0.7022, IoU.mirror: 0.7747, IoU.rug: 0.6397, IoU.field: 0.3100, IoU.armchair: 0.6291, IoU.seat: 0.6533, IoU.fence: 0.5219, IoU.desk: 0.5764, IoU.rock: 0.5850, IoU.wardrobe: 0.5240, IoU.lamp: 0.7081, IoU.bathtub: 0.8803, IoU.railing: 0.4024, IoU.cushion: 0.6497, IoU.base: 0.4051, IoU.box: 0.4036, IoU.column: 0.5056, IoU.signboard: 0.3770, IoU.chest of drawers: 0.5038, IoU.counter: 0.4072, IoU.sand: 0.6039, IoU.sink: 0.8056, IoU.skyscraper: 0.3911, IoU.fireplace: 0.7137, IoU.refrigerator: 0.8599, IoU.grandstand: 0.5093, IoU.path: 0.2845, IoU.stairs: 0.2785, IoU.runway: 0.7534, IoU.case: 0.5901, IoU.pool table: 0.9403, IoU.pillow: 0.6315, IoU.screen door: 0.7987, IoU.stairway: 0.4175, IoU.river: 0.1214, IoU.bridge: 0.7772, IoU.bookcase: 0.4260, IoU.blind: 0.4208, IoU.coffee table: 0.6469, IoU.toilet: 0.8993, IoU.flower: 0.4421, IoU.book: 0.5132, IoU.hill: 0.0943, IoU.bench: 0.5297, IoU.countertop: 0.6336, IoU.stove: 0.8645, IoU.palm: 0.5327, IoU.kitchen island: 0.4653, IoU.computer: 0.7766, IoU.swivel chair: 0.4468, IoU.boat: 0.7628, IoU.bar: 0.5957, IoU.arcade machine: 0.7190, IoU.hovel: 0.3332, IoU.bus: 0.9259, IoU.towel: 0.7662, IoU.light: 0.4689, IoU.truck: 0.4890, IoU.tower: 0.3310, IoU.chandelier: 0.6937, IoU.awning: 0.3607, IoU.streetlight: 0.2929, IoU.booth: 0.5968, IoU.television receiver: 0.7604, IoU.airplane: 0.8093, IoU.dirt track: 0.1356, IoU.apparel: 0.5073, IoU.pole: 0.2246, IoU.land: 0.0408, IoU.bannister: 0.1829, IoU.escalator: 0.6653, IoU.ottoman: 0.5031, IoU.bottle: 0.4305, IoU.buffet: 0.5168, IoU.poster: 0.3891, IoU.stage: 0.1791, IoU.van: 0.5181, IoU.ship: 0.7656, IoU.fountain: 0.2595, IoU.conveyer belt: 0.7907, IoU.canopy: 0.4888, IoU.washer: 0.8621, IoU.plaything: 0.3344, IoU.swimming pool: 0.6199, IoU.stool: 0.5060, IoU.barrel: 0.5260, IoU.basket: 0.4459, IoU.waterfall: 0.4975, IoU.tent: 0.9599, IoU.bag: 0.2619, IoU.minibike: 0.7313, IoU.cradle: 0.8807, IoU.oven: 0.6353, IoU.ball: 0.6309, IoU.food: 0.6519, IoU.step: 0.0999, IoU.tank: 0.6318, IoU.trade name: 0.2301, IoU.microwave: 0.9020, IoU.pot: 0.6119, IoU.animal: 0.7010, IoU.bicycle: 0.6140, IoU.lake: 0.5343, IoU.dishwasher: 0.7401, IoU.screen: 0.6597, IoU.blanket: 0.2952, IoU.sculpture: 0.7759, IoU.hood: 0.6201, IoU.sconce: 0.5470, IoU.vase: 0.4737, IoU.traffic light: 0.3491, IoU.tray: 0.2220, IoU.ashcan: 0.5162, IoU.fan: 0.6251, IoU.pier: 0.4013, IoU.crt screen: 0.0260, IoU.plate: 0.6030, IoU.monitor: 0.1900, IoU.bulletin board: 0.5301, IoU.shower: 0.1055, IoU.radiator: 0.6506, IoU.glass: 0.1921, IoU.clock: 0.4822, IoU.flag: 0.6632, Acc.wall: 0.8980, Acc.building: 0.9281, Acc.sky: 0.9729, Acc.floor: 0.9078, Acc.tree: 0.9107, Acc.ceiling: 0.9402, Acc.road: 0.9079, Acc.bed : 0.9724, Acc.windowpane: 0.8090, Acc.grass: 0.8363, Acc.cabinet: 0.7616, Acc.sidewalk: 0.8390, Acc.person: 0.9318, Acc.earth: 0.5495, Acc.door: 0.7548, Acc.table: 0.8289, Acc.mountain: 0.7550, Acc.plant: 0.6685, Acc.curtain: 0.8876, Acc.chair: 0.7734, Acc.car: 0.9352, Acc.water: 0.8021, Acc.painting: 0.8871, Acc.sofa: 0.9034, Acc.shelf: 0.6518, Acc.house: 0.7413, Acc.sea: 0.8567, Acc.mirror: 0.8736, Acc.rug: 0.7471, Acc.field: 0.4877, Acc.armchair: 0.8244, Acc.seat: 0.8846, Acc.fence: 0.7118, Acc.desk: 0.7776, Acc.rock: 0.8459, Acc.wardrobe: 0.7044, Acc.lamp: 0.8312, Acc.bathtub: 0.9095, Acc.railing: 0.5511, Acc.cushion: 0.7666, Acc.base: 0.5337, Acc.box: 0.4910, Acc.column: 0.6072, Acc.signboard: 0.5229, Acc.chest of drawers: 0.7301, Acc.counter: 0.5091, Acc.sand: 0.8582, Acc.sink: 0.8710, Acc.skyscraper: 0.5174, Acc.fireplace: 0.9093, Acc.refrigerator: 0.9428, Acc.grandstand: 0.8300, Acc.path: 0.3939, Acc.stairs: 0.3555, Acc.runway: 0.9609, Acc.case: 0.7852, Acc.pool table: 0.9790, Acc.pillow: 0.7446, Acc.screen door: 0.8148, Acc.stairway: 0.5560, Acc.river: 0.1850, Acc.bridge: 0.8597, Acc.bookcase: 0.5794, Acc.blind: 0.5018, Acc.coffee table: 0.8236, Acc.toilet: 0.9360, Acc.flower: 0.6191, Acc.book: 0.7364, Acc.hill: 0.1232, Acc.bench: 0.5960, Acc.countertop: 0.8234, Acc.stove: 0.9287, Acc.palm: 0.7848, Acc.kitchen island: 0.7009, Acc.computer: 0.8936, Acc.swivel chair: 0.6681, Acc.boat: 0.9124, Acc.bar: 0.7725, Acc.arcade machine: 0.7457, Acc.hovel: 0.3624, Acc.bus: 0.9651, Acc.towel: 0.8639, Acc.light: 0.5423, Acc.truck: 0.6668, Acc.tower: 0.5062, Acc.chandelier: 0.8298, Acc.awning: 0.4664, Acc.streetlight: 0.4034, Acc.booth: 0.7430, Acc.television receiver: 0.8896, Acc.airplane: 0.8709, Acc.dirt track: 0.4901, Acc.apparel: 0.6775, Acc.pole: 0.3076, Acc.land: 0.0570, Acc.bannister: 0.2405, Acc.escalator: 0.8293, Acc.ottoman: 0.6127, Acc.bottle: 0.6226, Acc.buffet: 0.5758, Acc.poster: 0.5106, Acc.stage: 0.2773, Acc.van: 0.7003, Acc.ship: 0.8225, Acc.fountain: 0.2604, Acc.conveyer belt: 0.9404, Acc.canopy: 0.6096, Acc.washer: 0.9127, Acc.plaything: 0.4706, Acc.swimming pool: 0.7566, Acc.stool: 0.6544, Acc.barrel: 0.8488, Acc.basket: 0.6070, Acc.waterfall: 0.5672, Acc.tent: 0.9818, Acc.bag: 0.2952, Acc.minibike: 0.8526, Acc.cradle: 0.9718, Acc.oven: 0.7497, Acc.ball: 0.7395, Acc.food: 0.7557, Acc.step: 0.1122, Acc.tank: 0.6626, Acc.trade name: 0.2605, Acc.microwave: 0.9570, Acc.pot: 0.7038, Acc.animal: 0.7165, Acc.bicycle: 0.8043, Acc.lake: 0.6376, Acc.dishwasher: 0.8188, Acc.screen: 0.9112, Acc.blanket: 0.3488, Acc.sculpture: 0.8730, Acc.hood: 0.7398, Acc.sconce: 0.6982, Acc.vase: 0.6329, Acc.traffic light: 0.5683, Acc.tray: 0.3597, Acc.ashcan: 0.6318, Acc.fan: 0.7258, Acc.pier: 0.4491, Acc.crt screen: 0.0621, Acc.plate: 0.7594, Acc.monitor: 0.2244, Acc.bulletin board: 0.6537, Acc.shower: 0.1756, Acc.radiator: 0.8086, Acc.glass: 0.2117, Acc.clock: 0.6603, Acc.flag: 0.7535 2023-11-02 22:41:37,541 - mmseg - INFO - Iter [56050/80000] lr: 9.700e-07, eta: 8:52:04, time: 2.444, data_time: 1.234, memory: 38534, decode.loss_ce: 0.1739, decode.acc_seg: 92.7237, loss: 0.1739 2023-11-02 22:42:38,329 - mmseg - INFO - Iter [56100/80000] lr: 9.679e-07, eta: 8:50:55, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1624, decode.acc_seg: 93.0424, loss: 0.1624 2023-11-02 22:43:39,070 - mmseg - INFO - Iter [56150/80000] lr: 9.659e-07, eta: 8:49:45, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1582, decode.acc_seg: 93.1550, loss: 0.1582 2023-11-02 22:44:39,864 - mmseg - INFO - Iter [56200/80000] lr: 9.639e-07, eta: 8:48:36, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1575, decode.acc_seg: 93.4466, loss: 0.1575 2023-11-02 22:45:40,690 - mmseg - INFO - Iter [56250/80000] lr: 9.619e-07, eta: 8:47:27, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1657, decode.acc_seg: 92.8580, loss: 0.1657 2023-11-02 22:46:41,444 - mmseg - INFO - Iter [56300/80000] lr: 9.598e-07, eta: 8:46:18, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1579, decode.acc_seg: 93.2170, loss: 0.1579 2023-11-02 22:47:42,209 - mmseg - INFO - Iter [56350/80000] lr: 9.578e-07, eta: 8:45:09, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1528, decode.acc_seg: 93.3832, loss: 0.1528 2023-11-02 22:48:42,955 - mmseg - INFO - Iter [56400/80000] lr: 9.558e-07, eta: 8:44:00, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1556, decode.acc_seg: 93.3227, loss: 0.1556 2023-11-02 22:49:43,762 - mmseg - INFO - Iter [56450/80000] lr: 9.538e-07, eta: 8:42:51, time: 1.216, data_time: 0.008, memory: 38534, decode.loss_ce: 0.1536, decode.acc_seg: 93.4986, loss: 0.1536 2023-11-02 22:50:44,518 - mmseg - INFO - Iter [56500/80000] lr: 9.517e-07, eta: 8:41:42, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1610, decode.acc_seg: 93.1374, loss: 0.1610 2023-11-02 22:51:45,272 - mmseg - INFO - Iter [56550/80000] lr: 9.497e-07, eta: 8:40:33, time: 1.215, data_time: 0.008, memory: 38534, decode.loss_ce: 0.1512, decode.acc_seg: 93.4254, loss: 0.1512 2023-11-02 22:52:46,094 - mmseg - INFO - Iter [56600/80000] lr: 9.477e-07, eta: 8:39:24, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1508, decode.acc_seg: 93.3086, loss: 0.1508 2023-11-02 22:53:46,837 - mmseg - INFO - Iter [56650/80000] lr: 9.457e-07, eta: 8:38:15, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1581, decode.acc_seg: 93.1019, loss: 0.1581 2023-11-02 22:54:47,572 - mmseg - INFO - Iter [56700/80000] lr: 9.436e-07, eta: 8:37:06, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1657, decode.acc_seg: 92.7624, loss: 0.1657 2023-11-02 22:55:48,290 - mmseg - INFO - Iter [56750/80000] lr: 9.416e-07, eta: 8:35:57, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1661, decode.acc_seg: 93.0537, loss: 0.1661 2023-11-02 22:56:49,077 - mmseg - INFO - Iter [56800/80000] lr: 9.396e-07, eta: 8:34:48, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1488, decode.acc_seg: 93.3542, loss: 0.1488 2023-11-02 22:57:52,643 - mmseg - INFO - Iter [56850/80000] lr: 9.376e-07, eta: 8:33:40, time: 1.271, data_time: 0.061, memory: 38534, decode.loss_ce: 0.1538, decode.acc_seg: 93.5022, loss: 0.1538 2023-11-02 22:58:53,446 - mmseg - INFO - Iter [56900/80000] lr: 9.355e-07, eta: 8:32:31, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1534, decode.acc_seg: 93.4285, loss: 0.1534 2023-11-02 22:59:54,196 - mmseg - INFO - Iter [56950/80000] lr: 9.335e-07, eta: 8:31:22, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1528, decode.acc_seg: 93.4593, loss: 0.1528 2023-11-02 23:00:54,943 - mmseg - INFO - Saving checkpoint at 57000 iterations 2023-11-02 23:01:50,456 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 23:01:50,456 - mmseg - INFO - Iter [57000/80000] lr: 9.315e-07, eta: 8:30:36, time: 2.325, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1427, decode.acc_seg: 93.7279, loss: 0.1427 2023-11-02 23:02:49,707 - mmseg - INFO - per class results: 2023-11-02 23:02:49,712 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 81.05 | 89.48 | | building | 84.5 | 93.31 | | sky | 94.64 | 97.37 | | floor | 84.0 | 91.41 | | tree | 76.94 | 90.31 | | ceiling | 86.38 | 93.1 | | road | 85.97 | 90.93 | | bed | 92.0 | 97.26 | | windowpane | 66.81 | 81.15 | | grass | 69.87 | 83.8 | | cabinet | 67.63 | 77.48 | | sidewalk | 70.37 | 84.52 | | person | 83.53 | 93.71 | | earth | 41.12 | 55.82 | | door | 61.7 | 76.5 | | table | 69.97 | 83.36 | | mountain | 64.93 | 78.07 | | plant | 54.2 | 67.25 | | curtain | 77.94 | 87.42 | | chair | 63.52 | 76.98 | | car | 86.93 | 93.7 | | water | 59.37 | 74.71 | | painting | 78.79 | 89.9 | | sofa | 81.55 | 89.8 | | shelf | 49.27 | 66.16 | | house | 55.23 | 69.42 | | sea | 67.1 | 88.03 | | mirror | 76.88 | 86.18 | | rug | 65.12 | 76.43 | | field | 28.63 | 42.46 | | armchair | 63.5 | 79.88 | | seat | 64.28 | 89.07 | | fence | 53.31 | 69.82 | | desk | 57.19 | 76.33 | | rock | 58.75 | 81.8 | | wardrobe | 54.21 | 68.09 | | lamp | 71.28 | 83.03 | | bathtub | 85.31 | 88.4 | | railing | 39.32 | 53.76 | | cushion | 65.81 | 79.28 | | base | 39.08 | 51.26 | | box | 40.86 | 49.89 | | column | 50.59 | 64.52 | | signboard | 38.99 | 53.63 | | chest of drawers | 48.82 | 68.06 | | counter | 39.28 | 50.6 | | sand | 60.21 | 86.23 | | sink | 80.52 | 87.95 | | skyscraper | 40.12 | 51.01 | | fireplace | 70.39 | 91.18 | | refrigerator | 86.28 | 93.91 | | grandstand | 51.0 | 82.71 | | path | 25.4 | 32.9 | | stairs | 27.07 | 33.98 | | runway | 74.63 | 95.95 | | case | 60.4 | 80.24 | | pool table | 94.23 | 97.76 | | pillow | 59.51 | 68.23 | | screen door | 82.56 | 84.36 | | stairway | 44.64 | 62.51 | | river | 12.88 | 20.65 | | bridge | 77.05 | 85.3 | | bookcase | 42.0 | 59.24 | | blind | 40.72 | 47.4 | | coffee table | 63.93 | 83.48 | | toilet | 89.72 | 92.97 | | flower | 43.66 | 62.8 | | book | 52.26 | 73.22 | | hill | 8.65 | 12.46 | | bench | 53.18 | 60.97 | | countertop | 63.13 | 81.4 | | stove | 85.93 | 92.99 | | palm | 54.05 | 79.34 | | kitchen island | 46.29 | 71.63 | | computer | 77.23 | 89.6 | | swivel chair | 42.91 | 66.61 | | boat | 78.43 | 91.35 | | bar | 62.77 | 84.91 | | arcade machine | 69.23 | 71.19 | | hovel | 23.88 | 25.49 | | bus | 92.67 | 96.52 | | towel | 76.77 | 85.61 | | light | 48.21 | 57.08 | | truck | 49.09 | 58.41 | | tower | 25.16 | 35.0 | | chandelier | 69.91 | 85.63 | | awning | 35.63 | 45.65 | | streetlight | 27.13 | 35.17 | | booth | 64.62 | 75.81 | | television receiver | 74.68 | 88.77 | | airplane | 84.16 | 90.64 | | dirt track | 11.98 | 50.48 | | apparel | 53.22 | 77.18 | | pole | 24.41 | 34.41 | | land | 5.66 | 7.53 | | bannister | 18.32 | 25.67 | | escalator | 65.07 | 81.25 | | ottoman | 52.13 | 65.88 | | bottle | 42.04 | 62.55 | | buffet | 62.57 | 70.01 | | poster | 36.8 | 45.14 | | stage | 20.3 | 40.58 | | van | 50.8 | 74.4 | | ship | 74.83 | 77.69 | | fountain | 34.58 | 35.73 | | conveyer belt | 76.94 | 94.29 | | canopy | 57.07 | 73.41 | | washer | 84.0 | 88.62 | | plaything | 31.41 | 45.48 | | swimming pool | 60.47 | 78.61 | | stool | 50.48 | 66.02 | | barrel | 57.88 | 84.37 | | basket | 42.99 | 55.86 | | waterfall | 47.16 | 58.49 | | tent | 96.03 | 98.03 | | bag | 26.82 | 29.97 | | minibike | 71.93 | 88.8 | | cradle | 80.73 | 98.17 | | oven | 65.82 | 75.42 | | ball | 62.7 | 72.42 | | food | 62.82 | 73.05 | | step | 13.39 | 16.01 | | tank | 61.76 | 65.43 | | trade name | 27.09 | 31.19 | | microwave | 90.91 | 95.18 | | pot | 59.43 | 66.48 | | animal | 71.86 | 74.14 | | bicycle | 60.91 | 82.88 | | lake | 52.9 | 63.78 | | dishwasher | 74.57 | 82.66 | | screen | 53.61 | 75.04 | | blanket | 26.63 | 31.11 | | sculpture | 73.58 | 88.81 | | hood | 62.73 | 73.6 | | sconce | 55.35 | 69.84 | | vase | 47.96 | 66.11 | | traffic light | 36.18 | 51.58 | | tray | 20.25 | 28.45 | | ashcan | 50.95 | 66.86 | | fan | 64.73 | 79.35 | | pier | 40.57 | 44.13 | | crt screen | 7.08 | 21.95 | | plate | 60.02 | 77.34 | | monitor | 13.45 | 15.01 | | bulletin board | 54.35 | 61.91 | | shower | 12.38 | 17.98 | | radiator | 65.2 | 79.69 | | glass | 18.65 | 20.3 | | clock | 47.76 | 64.47 | | flag | 66.0 | 73.46 | +---------------------+-------+-------+ 2023-11-02 23:02:49,712 - mmseg - INFO - Summary: 2023-11-02 23:02:49,712 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 85.85 | 56.72 | 68.96 | +-------+-------+-------+ 2023-11-02 23:02:49,713 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 23:02:49,713 - mmseg - INFO - Iter(val) [250] aAcc: 0.8585, mIoU: 0.5672, mAcc: 0.6896, IoU.wall: 0.8105, IoU.building: 0.8450, IoU.sky: 0.9464, IoU.floor: 0.8400, IoU.tree: 0.7694, IoU.ceiling: 0.8638, IoU.road: 0.8597, IoU.bed : 0.9200, IoU.windowpane: 0.6681, IoU.grass: 0.6987, IoU.cabinet: 0.6763, IoU.sidewalk: 0.7037, IoU.person: 0.8353, IoU.earth: 0.4112, IoU.door: 0.6170, IoU.table: 0.6997, IoU.mountain: 0.6493, IoU.plant: 0.5420, IoU.curtain: 0.7794, IoU.chair: 0.6352, IoU.car: 0.8693, IoU.water: 0.5937, IoU.painting: 0.7879, IoU.sofa: 0.8155, IoU.shelf: 0.4927, IoU.house: 0.5523, IoU.sea: 0.6710, IoU.mirror: 0.7688, IoU.rug: 0.6512, IoU.field: 0.2863, IoU.armchair: 0.6350, IoU.seat: 0.6428, IoU.fence: 0.5331, IoU.desk: 0.5719, IoU.rock: 0.5875, IoU.wardrobe: 0.5421, IoU.lamp: 0.7128, IoU.bathtub: 0.8531, IoU.railing: 0.3932, IoU.cushion: 0.6581, IoU.base: 0.3908, IoU.box: 0.4086, IoU.column: 0.5059, IoU.signboard: 0.3899, IoU.chest of drawers: 0.4882, IoU.counter: 0.3928, IoU.sand: 0.6021, IoU.sink: 0.8052, IoU.skyscraper: 0.4012, IoU.fireplace: 0.7039, IoU.refrigerator: 0.8628, IoU.grandstand: 0.5100, IoU.path: 0.2540, IoU.stairs: 0.2707, IoU.runway: 0.7463, IoU.case: 0.6040, IoU.pool table: 0.9423, IoU.pillow: 0.5951, IoU.screen door: 0.8256, IoU.stairway: 0.4464, IoU.river: 0.1288, IoU.bridge: 0.7705, IoU.bookcase: 0.4200, IoU.blind: 0.4072, IoU.coffee table: 0.6393, IoU.toilet: 0.8972, IoU.flower: 0.4366, IoU.book: 0.5226, IoU.hill: 0.0865, IoU.bench: 0.5318, IoU.countertop: 0.6313, IoU.stove: 0.8593, IoU.palm: 0.5405, IoU.kitchen island: 0.4629, IoU.computer: 0.7723, IoU.swivel chair: 0.4291, IoU.boat: 0.7843, IoU.bar: 0.6277, IoU.arcade machine: 0.6923, IoU.hovel: 0.2388, IoU.bus: 0.9267, IoU.towel: 0.7677, IoU.light: 0.4821, IoU.truck: 0.4909, IoU.tower: 0.2516, IoU.chandelier: 0.6991, IoU.awning: 0.3563, IoU.streetlight: 0.2713, IoU.booth: 0.6462, IoU.television receiver: 0.7468, IoU.airplane: 0.8416, IoU.dirt track: 0.1198, IoU.apparel: 0.5322, IoU.pole: 0.2441, IoU.land: 0.0566, IoU.bannister: 0.1832, IoU.escalator: 0.6507, IoU.ottoman: 0.5213, IoU.bottle: 0.4204, IoU.buffet: 0.6257, IoU.poster: 0.3680, IoU.stage: 0.2030, IoU.van: 0.5080, IoU.ship: 0.7483, IoU.fountain: 0.3458, IoU.conveyer belt: 0.7694, IoU.canopy: 0.5707, IoU.washer: 0.8400, IoU.plaything: 0.3141, IoU.swimming pool: 0.6047, IoU.stool: 0.5048, IoU.barrel: 0.5788, IoU.basket: 0.4299, IoU.waterfall: 0.4716, IoU.tent: 0.9603, IoU.bag: 0.2682, IoU.minibike: 0.7193, IoU.cradle: 0.8073, IoU.oven: 0.6582, IoU.ball: 0.6270, IoU.food: 0.6282, IoU.step: 0.1339, IoU.tank: 0.6176, IoU.trade name: 0.2709, IoU.microwave: 0.9091, IoU.pot: 0.5943, IoU.animal: 0.7186, IoU.bicycle: 0.6091, IoU.lake: 0.5290, IoU.dishwasher: 0.7457, IoU.screen: 0.5361, IoU.blanket: 0.2663, IoU.sculpture: 0.7358, IoU.hood: 0.6273, IoU.sconce: 0.5535, IoU.vase: 0.4796, IoU.traffic light: 0.3618, IoU.tray: 0.2025, IoU.ashcan: 0.5095, IoU.fan: 0.6473, IoU.pier: 0.4057, IoU.crt screen: 0.0708, IoU.plate: 0.6002, IoU.monitor: 0.1345, IoU.bulletin board: 0.5435, IoU.shower: 0.1238, IoU.radiator: 0.6520, IoU.glass: 0.1865, IoU.clock: 0.4776, IoU.flag: 0.6600, Acc.wall: 0.8948, Acc.building: 0.9331, Acc.sky: 0.9737, Acc.floor: 0.9141, Acc.tree: 0.9031, Acc.ceiling: 0.9310, Acc.road: 0.9093, Acc.bed : 0.9726, Acc.windowpane: 0.8115, Acc.grass: 0.8380, Acc.cabinet: 0.7748, Acc.sidewalk: 0.8452, Acc.person: 0.9371, Acc.earth: 0.5582, Acc.door: 0.7650, Acc.table: 0.8336, Acc.mountain: 0.7807, Acc.plant: 0.6725, Acc.curtain: 0.8742, Acc.chair: 0.7698, Acc.car: 0.9370, Acc.water: 0.7471, Acc.painting: 0.8990, Acc.sofa: 0.8980, Acc.shelf: 0.6616, Acc.house: 0.6942, Acc.sea: 0.8803, Acc.mirror: 0.8618, Acc.rug: 0.7643, Acc.field: 0.4246, Acc.armchair: 0.7988, Acc.seat: 0.8907, Acc.fence: 0.6982, Acc.desk: 0.7633, Acc.rock: 0.8180, Acc.wardrobe: 0.6809, Acc.lamp: 0.8303, Acc.bathtub: 0.8840, Acc.railing: 0.5376, Acc.cushion: 0.7928, Acc.base: 0.5126, Acc.box: 0.4989, Acc.column: 0.6452, Acc.signboard: 0.5363, Acc.chest of drawers: 0.6806, Acc.counter: 0.5060, Acc.sand: 0.8623, Acc.sink: 0.8795, Acc.skyscraper: 0.5101, Acc.fireplace: 0.9118, Acc.refrigerator: 0.9391, Acc.grandstand: 0.8271, Acc.path: 0.3290, Acc.stairs: 0.3398, Acc.runway: 0.9595, Acc.case: 0.8024, Acc.pool table: 0.9776, Acc.pillow: 0.6823, Acc.screen door: 0.8436, Acc.stairway: 0.6251, Acc.river: 0.2065, Acc.bridge: 0.8530, Acc.bookcase: 0.5924, Acc.blind: 0.4740, Acc.coffee table: 0.8348, Acc.toilet: 0.9297, Acc.flower: 0.6280, Acc.book: 0.7322, Acc.hill: 0.1246, Acc.bench: 0.6097, Acc.countertop: 0.8140, Acc.stove: 0.9299, Acc.palm: 0.7934, Acc.kitchen island: 0.7163, Acc.computer: 0.8960, Acc.swivel chair: 0.6661, Acc.boat: 0.9135, Acc.bar: 0.8491, Acc.arcade machine: 0.7119, Acc.hovel: 0.2549, Acc.bus: 0.9652, Acc.towel: 0.8561, Acc.light: 0.5708, Acc.truck: 0.5841, Acc.tower: 0.3500, Acc.chandelier: 0.8563, Acc.awning: 0.4565, Acc.streetlight: 0.3517, Acc.booth: 0.7581, Acc.television receiver: 0.8877, Acc.airplane: 0.9064, Acc.dirt track: 0.5048, Acc.apparel: 0.7718, Acc.pole: 0.3441, Acc.land: 0.0753, Acc.bannister: 0.2567, Acc.escalator: 0.8125, Acc.ottoman: 0.6588, Acc.bottle: 0.6255, Acc.buffet: 0.7001, Acc.poster: 0.4514, Acc.stage: 0.4058, Acc.van: 0.7440, Acc.ship: 0.7769, Acc.fountain: 0.3573, Acc.conveyer belt: 0.9429, Acc.canopy: 0.7341, Acc.washer: 0.8862, Acc.plaything: 0.4548, Acc.swimming pool: 0.7861, Acc.stool: 0.6602, Acc.barrel: 0.8437, Acc.basket: 0.5586, Acc.waterfall: 0.5849, Acc.tent: 0.9803, Acc.bag: 0.2997, Acc.minibike: 0.8880, Acc.cradle: 0.9817, Acc.oven: 0.7542, Acc.ball: 0.7242, Acc.food: 0.7305, Acc.step: 0.1601, Acc.tank: 0.6543, Acc.trade name: 0.3119, Acc.microwave: 0.9518, Acc.pot: 0.6648, Acc.animal: 0.7414, Acc.bicycle: 0.8288, Acc.lake: 0.6378, Acc.dishwasher: 0.8266, Acc.screen: 0.7504, Acc.blanket: 0.3111, Acc.sculpture: 0.8881, Acc.hood: 0.7360, Acc.sconce: 0.6984, Acc.vase: 0.6611, Acc.traffic light: 0.5158, Acc.tray: 0.2845, Acc.ashcan: 0.6686, Acc.fan: 0.7935, Acc.pier: 0.4413, Acc.crt screen: 0.2195, Acc.plate: 0.7734, Acc.monitor: 0.1501, Acc.bulletin board: 0.6191, Acc.shower: 0.1798, Acc.radiator: 0.7969, Acc.glass: 0.2030, Acc.clock: 0.6447, Acc.flag: 0.7346 2023-11-02 23:03:50,572 - mmseg - INFO - Iter [57050/80000] lr: 9.295e-07, eta: 8:29:51, time: 2.402, data_time: 1.192, memory: 38534, decode.loss_ce: 0.1508, decode.acc_seg: 93.4497, loss: 0.1508 2023-11-02 23:04:51,346 - mmseg - INFO - Iter [57100/80000] lr: 9.274e-07, eta: 8:28:42, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1634, decode.acc_seg: 93.0902, loss: 0.1634 2023-11-02 23:05:52,081 - mmseg - INFO - Iter [57150/80000] lr: 9.254e-07, eta: 8:27:33, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1528, decode.acc_seg: 93.4892, loss: 0.1528 2023-11-02 23:06:52,830 - mmseg - INFO - Iter [57200/80000] lr: 9.234e-07, eta: 8:26:24, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1583, decode.acc_seg: 93.2829, loss: 0.1583 2023-11-02 23:07:53,593 - mmseg - INFO - Iter [57250/80000] lr: 9.214e-07, eta: 8:25:15, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1493, decode.acc_seg: 93.5293, loss: 0.1493 2023-11-02 23:08:54,341 - mmseg - INFO - Iter [57300/80000] lr: 9.193e-07, eta: 8:24:06, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1546, decode.acc_seg: 93.4806, loss: 0.1546 2023-11-02 23:09:55,049 - mmseg - INFO - Iter [57350/80000] lr: 9.173e-07, eta: 8:22:57, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1525, decode.acc_seg: 93.4544, loss: 0.1525 2023-11-02 23:10:55,808 - mmseg - INFO - Iter [57400/80000] lr: 9.153e-07, eta: 8:21:48, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1607, decode.acc_seg: 93.0476, loss: 0.1607 2023-11-02 23:11:56,575 - mmseg - INFO - Iter [57450/80000] lr: 9.133e-07, eta: 8:20:39, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1466, decode.acc_seg: 93.6181, loss: 0.1466 2023-11-02 23:12:57,293 - mmseg - INFO - Iter [57500/80000] lr: 9.112e-07, eta: 8:19:30, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1560, decode.acc_seg: 93.2269, loss: 0.1560 2023-11-02 23:13:58,052 - mmseg - INFO - Iter [57550/80000] lr: 9.092e-07, eta: 8:18:21, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1599, decode.acc_seg: 93.0121, loss: 0.1599 2023-11-02 23:14:58,769 - mmseg - INFO - Iter [57600/80000] lr: 9.072e-07, eta: 8:17:12, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1683, decode.acc_seg: 92.8856, loss: 0.1683 2023-11-02 23:15:59,541 - mmseg - INFO - Iter [57650/80000] lr: 9.052e-07, eta: 8:16:04, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1488, decode.acc_seg: 93.4873, loss: 0.1488 2023-11-02 23:17:00,308 - mmseg - INFO - Iter [57700/80000] lr: 9.031e-07, eta: 8:14:55, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1589, decode.acc_seg: 93.4123, loss: 0.1589 2023-11-02 23:18:01,053 - mmseg - INFO - Iter [57750/80000] lr: 9.011e-07, eta: 8:13:46, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1484, decode.acc_seg: 93.3235, loss: 0.1484 2023-11-02 23:19:01,781 - mmseg - INFO - Iter [57800/80000] lr: 8.991e-07, eta: 8:12:37, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1648, decode.acc_seg: 92.8702, loss: 0.1648 2023-11-02 23:20:02,558 - mmseg - INFO - Iter [57850/80000] lr: 8.971e-07, eta: 8:11:28, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1553, decode.acc_seg: 93.4665, loss: 0.1553 2023-11-02 23:21:03,301 - mmseg - INFO - Iter [57900/80000] lr: 8.950e-07, eta: 8:10:20, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1562, decode.acc_seg: 93.3545, loss: 0.1562 2023-11-02 23:22:04,045 - mmseg - INFO - Iter [57950/80000] lr: 8.930e-07, eta: 8:09:11, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1444, decode.acc_seg: 93.7706, loss: 0.1444 2023-11-02 23:23:04,798 - mmseg - INFO - Saving checkpoint at 58000 iterations 2023-11-02 23:24:01,687 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 23:24:01,687 - mmseg - INFO - Iter [58000/80000] lr: 8.910e-07, eta: 8:08:24, time: 2.353, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1523, decode.acc_seg: 93.4735, loss: 0.1523 2023-11-02 23:25:02,278 - mmseg - INFO - per class results: 2023-11-02 23:25:02,284 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 81.4 | 89.71 | | building | 84.51 | 93.77 | | sky | 94.6 | 97.47 | | floor | 84.17 | 91.98 | | tree | 76.58 | 89.74 | | ceiling | 86.62 | 93.46 | | road | 85.58 | 90.85 | | bed | 92.15 | 97.22 | | windowpane | 66.97 | 82.0 | | grass | 69.62 | 81.22 | | cabinet | 66.82 | 76.68 | | sidewalk | 70.06 | 83.96 | | person | 83.51 | 93.03 | | earth | 40.94 | 56.68 | | door | 61.37 | 74.55 | | table | 70.22 | 82.03 | | mountain | 61.24 | 72.7 | | plant | 54.63 | 68.68 | | curtain | 77.89 | 88.42 | | chair | 63.68 | 77.79 | | car | 86.73 | 93.72 | | water | 62.01 | 79.08 | | painting | 80.29 | 89.53 | | sofa | 82.53 | 90.83 | | shelf | 48.06 | 63.8 | | house | 46.39 | 55.75 | | sea | 71.54 | 91.17 | | mirror | 76.49 | 86.5 | | rug | 64.1 | 73.86 | | field | 33.34 | 53.99 | | armchair | 62.47 | 79.91 | | seat | 65.01 | 87.66 | | fence | 49.84 | 63.55 | | desk | 57.19 | 77.94 | | rock | 55.65 | 84.7 | | wardrobe | 53.74 | 70.22 | | lamp | 71.26 | 85.75 | | bathtub | 85.82 | 89.44 | | railing | 41.29 | 60.19 | | cushion | 64.91 | 77.14 | | base | 37.72 | 52.07 | | box | 40.56 | 47.36 | | column | 51.21 | 62.49 | | signboard | 38.47 | 53.75 | | chest of drawers | 50.11 | 70.75 | | counter | 43.73 | 56.48 | | sand | 60.74 | 85.67 | | sink | 80.41 | 86.95 | | skyscraper | 44.07 | 55.16 | | fireplace | 72.7 | 90.84 | | refrigerator | 85.8 | 94.13 | | grandstand | 53.65 | 84.06 | | path | 26.1 | 35.6 | | stairs | 28.83 | 35.94 | | runway | 69.14 | 87.76 | | case | 55.17 | 78.08 | | pool table | 94.25 | 97.85 | | pillow | 62.48 | 73.43 | | screen door | 75.19 | 81.14 | | stairway | 44.52 | 61.58 | | river | 14.21 | 19.86 | | bridge | 75.75 | 85.61 | | bookcase | 40.31 | 58.11 | | blind | 42.95 | 49.5 | | coffee table | 65.18 | 82.72 | | toilet | 90.03 | 93.34 | | flower | 40.64 | 57.35 | | book | 51.54 | 73.32 | | hill | 8.58 | 11.35 | | bench | 53.97 | 62.02 | | countertop | 64.24 | 84.35 | | stove | 86.54 | 92.63 | | palm | 53.95 | 74.33 | | kitchen island | 46.75 | 70.65 | | computer | 76.63 | 89.46 | | swivel chair | 43.6 | 65.3 | | boat | 81.18 | 89.19 | | bar | 62.62 | 83.99 | | arcade machine | 70.96 | 73.27 | | hovel | 26.69 | 28.91 | | bus | 93.12 | 96.46 | | towel | 75.66 | 87.03 | | light | 48.61 | 56.9 | | truck | 49.15 | 60.64 | | tower | 41.99 | 63.15 | | chandelier | 70.46 | 80.87 | | awning | 35.52 | 44.71 | | streetlight | 29.78 | 41.87 | | booth | 69.26 | 76.56 | | television receiver | 73.9 | 88.91 | | airplane | 84.87 | 92.24 | | dirt track | 12.79 | 41.86 | | apparel | 49.77 | 68.16 | | pole | 22.69 | 32.03 | | land | 4.69 | 6.98 | | bannister | 16.56 | 21.45 | | escalator | 65.31 | 81.82 | | ottoman | 52.51 | 71.61 | | bottle | 42.77 | 67.0 | | buffet | 57.49 | 63.27 | | poster | 38.32 | 49.5 | | stage | 23.08 | 36.2 | | van | 51.13 | 68.5 | | ship | 73.59 | 75.88 | | fountain | 19.23 | 19.28 | | conveyer belt | 79.26 | 93.72 | | canopy | 55.4 | 67.06 | | washer | 85.76 | 90.6 | | plaything | 33.75 | 48.01 | | swimming pool | 63.64 | 74.64 | | stool | 51.63 | 66.71 | | barrel | 57.24 | 89.25 | | basket | 45.02 | 59.75 | | waterfall | 48.16 | 57.35 | | tent | 96.06 | 98.07 | | bag | 25.82 | 28.64 | | minibike | 73.92 | 86.27 | | cradle | 83.79 | 98.24 | | oven | 62.09 | 72.51 | | ball | 59.21 | 64.45 | | food | 60.1 | 69.53 | | step | 11.78 | 13.8 | | tank | 61.5 | 65.81 | | trade name | 22.66 | 24.87 | | microwave | 90.85 | 95.6 | | pot | 58.24 | 65.5 | | animal | 69.66 | 71.42 | | bicycle | 60.92 | 77.27 | | lake | 59.21 | 63.72 | | dishwasher | 70.8 | 83.4 | | screen | 60.15 | 83.92 | | blanket | 29.05 | 34.27 | | sculpture | 76.47 | 88.02 | | hood | 62.7 | 73.54 | | sconce | 55.62 | 70.94 | | vase | 46.95 | 64.58 | | traffic light | 37.62 | 54.91 | | tray | 21.43 | 28.51 | | ashcan | 51.32 | 64.9 | | fan | 64.07 | 78.1 | | pier | 40.09 | 43.55 | | crt screen | 7.32 | 18.21 | | plate | 60.44 | 75.32 | | monitor | 20.55 | 23.26 | | bulletin board | 56.64 | 68.36 | | shower | 15.05 | 17.14 | | radiator | 63.86 | 76.82 | | glass | 19.18 | 20.73 | | clock | 49.13 | 61.7 | | flag | 68.27 | 74.52 | +---------------------+-------+-------+ 2023-11-02 23:25:02,284 - mmseg - INFO - Summary: 2023-11-02 23:25:02,285 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 85.85 | 56.91 | 68.76 | +-------+-------+-------+ 2023-11-02 23:25:02,285 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 23:25:02,286 - mmseg - INFO - Iter(val) [250] aAcc: 0.8585, mIoU: 0.5691, mAcc: 0.6876, IoU.wall: 0.8140, IoU.building: 0.8451, IoU.sky: 0.9460, IoU.floor: 0.8417, IoU.tree: 0.7658, IoU.ceiling: 0.8662, IoU.road: 0.8558, IoU.bed : 0.9215, IoU.windowpane: 0.6697, IoU.grass: 0.6962, IoU.cabinet: 0.6682, IoU.sidewalk: 0.7006, IoU.person: 0.8351, IoU.earth: 0.4094, IoU.door: 0.6137, IoU.table: 0.7022, IoU.mountain: 0.6124, IoU.plant: 0.5463, IoU.curtain: 0.7789, IoU.chair: 0.6368, IoU.car: 0.8673, IoU.water: 0.6201, IoU.painting: 0.8029, IoU.sofa: 0.8253, IoU.shelf: 0.4806, IoU.house: 0.4639, IoU.sea: 0.7154, IoU.mirror: 0.7649, IoU.rug: 0.6410, IoU.field: 0.3334, IoU.armchair: 0.6247, IoU.seat: 0.6501, IoU.fence: 0.4984, IoU.desk: 0.5719, IoU.rock: 0.5565, IoU.wardrobe: 0.5374, IoU.lamp: 0.7126, IoU.bathtub: 0.8582, IoU.railing: 0.4129, IoU.cushion: 0.6491, IoU.base: 0.3772, IoU.box: 0.4056, IoU.column: 0.5121, IoU.signboard: 0.3847, IoU.chest of drawers: 0.5011, IoU.counter: 0.4373, IoU.sand: 0.6074, IoU.sink: 0.8041, IoU.skyscraper: 0.4407, IoU.fireplace: 0.7270, IoU.refrigerator: 0.8580, IoU.grandstand: 0.5365, IoU.path: 0.2610, IoU.stairs: 0.2883, IoU.runway: 0.6914, IoU.case: 0.5517, IoU.pool table: 0.9425, IoU.pillow: 0.6248, IoU.screen door: 0.7519, IoU.stairway: 0.4452, IoU.river: 0.1421, IoU.bridge: 0.7575, IoU.bookcase: 0.4031, IoU.blind: 0.4295, IoU.coffee table: 0.6518, IoU.toilet: 0.9003, IoU.flower: 0.4064, IoU.book: 0.5154, IoU.hill: 0.0858, IoU.bench: 0.5397, IoU.countertop: 0.6424, IoU.stove: 0.8654, IoU.palm: 0.5395, IoU.kitchen island: 0.4675, IoU.computer: 0.7663, IoU.swivel chair: 0.4360, IoU.boat: 0.8118, IoU.bar: 0.6262, IoU.arcade machine: 0.7096, IoU.hovel: 0.2669, IoU.bus: 0.9312, IoU.towel: 0.7566, IoU.light: 0.4861, IoU.truck: 0.4915, IoU.tower: 0.4199, IoU.chandelier: 0.7046, IoU.awning: 0.3552, IoU.streetlight: 0.2978, IoU.booth: 0.6926, IoU.television receiver: 0.7390, IoU.airplane: 0.8487, IoU.dirt track: 0.1279, IoU.apparel: 0.4977, IoU.pole: 0.2269, IoU.land: 0.0469, IoU.bannister: 0.1656, IoU.escalator: 0.6531, IoU.ottoman: 0.5251, IoU.bottle: 0.4277, IoU.buffet: 0.5749, IoU.poster: 0.3832, IoU.stage: 0.2308, IoU.van: 0.5113, IoU.ship: 0.7359, IoU.fountain: 0.1923, IoU.conveyer belt: 0.7926, IoU.canopy: 0.5540, IoU.washer: 0.8576, IoU.plaything: 0.3375, IoU.swimming pool: 0.6364, IoU.stool: 0.5163, IoU.barrel: 0.5724, IoU.basket: 0.4502, IoU.waterfall: 0.4816, IoU.tent: 0.9606, IoU.bag: 0.2582, IoU.minibike: 0.7392, IoU.cradle: 0.8379, IoU.oven: 0.6209, IoU.ball: 0.5921, IoU.food: 0.6010, IoU.step: 0.1178, IoU.tank: 0.6150, IoU.trade name: 0.2266, IoU.microwave: 0.9085, IoU.pot: 0.5824, IoU.animal: 0.6966, IoU.bicycle: 0.6092, IoU.lake: 0.5921, IoU.dishwasher: 0.7080, IoU.screen: 0.6015, IoU.blanket: 0.2905, IoU.sculpture: 0.7647, IoU.hood: 0.6270, IoU.sconce: 0.5562, IoU.vase: 0.4695, IoU.traffic light: 0.3762, IoU.tray: 0.2143, IoU.ashcan: 0.5132, IoU.fan: 0.6407, IoU.pier: 0.4009, IoU.crt screen: 0.0732, IoU.plate: 0.6044, IoU.monitor: 0.2055, IoU.bulletin board: 0.5664, IoU.shower: 0.1505, IoU.radiator: 0.6386, IoU.glass: 0.1918, IoU.clock: 0.4913, IoU.flag: 0.6827, Acc.wall: 0.8971, Acc.building: 0.9377, Acc.sky: 0.9747, Acc.floor: 0.9198, Acc.tree: 0.8974, Acc.ceiling: 0.9346, Acc.road: 0.9085, Acc.bed : 0.9722, Acc.windowpane: 0.8200, Acc.grass: 0.8122, Acc.cabinet: 0.7668, Acc.sidewalk: 0.8396, Acc.person: 0.9303, Acc.earth: 0.5668, Acc.door: 0.7455, Acc.table: 0.8203, Acc.mountain: 0.7270, Acc.plant: 0.6868, Acc.curtain: 0.8842, Acc.chair: 0.7779, Acc.car: 0.9372, Acc.water: 0.7908, Acc.painting: 0.8953, Acc.sofa: 0.9083, Acc.shelf: 0.6380, Acc.house: 0.5575, Acc.sea: 0.9117, Acc.mirror: 0.8650, Acc.rug: 0.7386, Acc.field: 0.5399, Acc.armchair: 0.7991, Acc.seat: 0.8766, Acc.fence: 0.6355, Acc.desk: 0.7794, Acc.rock: 0.8470, Acc.wardrobe: 0.7022, Acc.lamp: 0.8575, Acc.bathtub: 0.8944, Acc.railing: 0.6019, Acc.cushion: 0.7714, Acc.base: 0.5207, Acc.box: 0.4736, Acc.column: 0.6249, Acc.signboard: 0.5375, Acc.chest of drawers: 0.7075, Acc.counter: 0.5648, Acc.sand: 0.8567, Acc.sink: 0.8695, Acc.skyscraper: 0.5516, Acc.fireplace: 0.9084, Acc.refrigerator: 0.9413, Acc.grandstand: 0.8406, Acc.path: 0.3560, Acc.stairs: 0.3594, Acc.runway: 0.8776, Acc.case: 0.7808, Acc.pool table: 0.9785, Acc.pillow: 0.7343, Acc.screen door: 0.8114, Acc.stairway: 0.6158, Acc.river: 0.1986, Acc.bridge: 0.8561, Acc.bookcase: 0.5811, Acc.blind: 0.4950, Acc.coffee table: 0.8272, Acc.toilet: 0.9334, Acc.flower: 0.5735, Acc.book: 0.7332, Acc.hill: 0.1135, Acc.bench: 0.6202, Acc.countertop: 0.8435, Acc.stove: 0.9263, Acc.palm: 0.7433, Acc.kitchen island: 0.7065, Acc.computer: 0.8946, Acc.swivel chair: 0.6530, Acc.boat: 0.8919, Acc.bar: 0.8399, Acc.arcade machine: 0.7327, Acc.hovel: 0.2891, Acc.bus: 0.9646, Acc.towel: 0.8703, Acc.light: 0.5690, Acc.truck: 0.6064, Acc.tower: 0.6315, Acc.chandelier: 0.8087, Acc.awning: 0.4471, Acc.streetlight: 0.4187, Acc.booth: 0.7656, Acc.television receiver: 0.8891, Acc.airplane: 0.9224, Acc.dirt track: 0.4186, Acc.apparel: 0.6816, Acc.pole: 0.3203, Acc.land: 0.0698, Acc.bannister: 0.2145, Acc.escalator: 0.8182, Acc.ottoman: 0.7161, Acc.bottle: 0.6700, Acc.buffet: 0.6327, Acc.poster: 0.4950, Acc.stage: 0.3620, Acc.van: 0.6850, Acc.ship: 0.7588, Acc.fountain: 0.1928, Acc.conveyer belt: 0.9372, Acc.canopy: 0.6706, Acc.washer: 0.9060, Acc.plaything: 0.4801, Acc.swimming pool: 0.7464, Acc.stool: 0.6671, Acc.barrel: 0.8925, Acc.basket: 0.5975, Acc.waterfall: 0.5735, Acc.tent: 0.9807, Acc.bag: 0.2864, Acc.minibike: 0.8627, Acc.cradle: 0.9824, Acc.oven: 0.7251, Acc.ball: 0.6445, Acc.food: 0.6953, Acc.step: 0.1380, Acc.tank: 0.6581, Acc.trade name: 0.2487, Acc.microwave: 0.9560, Acc.pot: 0.6550, Acc.animal: 0.7142, Acc.bicycle: 0.7727, Acc.lake: 0.6372, Acc.dishwasher: 0.8340, Acc.screen: 0.8392, Acc.blanket: 0.3427, Acc.sculpture: 0.8802, Acc.hood: 0.7354, Acc.sconce: 0.7094, Acc.vase: 0.6458, Acc.traffic light: 0.5491, Acc.tray: 0.2851, Acc.ashcan: 0.6490, Acc.fan: 0.7810, Acc.pier: 0.4355, Acc.crt screen: 0.1821, Acc.plate: 0.7532, Acc.monitor: 0.2326, Acc.bulletin board: 0.6836, Acc.shower: 0.1714, Acc.radiator: 0.7682, Acc.glass: 0.2073, Acc.clock: 0.6170, Acc.flag: 0.7452 2023-11-02 23:26:03,116 - mmseg - INFO - Iter [58050/80000] lr: 8.890e-07, eta: 8:07:38, time: 2.429, data_time: 1.219, memory: 38534, decode.loss_ce: 0.1558, decode.acc_seg: 93.2871, loss: 0.1558 2023-11-02 23:27:06,190 - mmseg - INFO - Iter [58100/80000] lr: 8.869e-07, eta: 8:06:30, time: 1.262, data_time: 0.053, memory: 38534, decode.loss_ce: 0.1563, decode.acc_seg: 93.2396, loss: 0.1563 2023-11-02 23:28:06,950 - mmseg - INFO - Iter [58150/80000] lr: 8.849e-07, eta: 8:05:21, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1511, decode.acc_seg: 93.4024, loss: 0.1511 2023-11-02 23:29:07,731 - mmseg - INFO - Iter [58200/80000] lr: 8.829e-07, eta: 8:04:12, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1631, decode.acc_seg: 93.0419, loss: 0.1631 2023-11-02 23:30:08,508 - mmseg - INFO - Iter [58250/80000] lr: 8.809e-07, eta: 8:03:03, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1513, decode.acc_seg: 93.4682, loss: 0.1513 2023-11-02 23:31:09,243 - mmseg - INFO - Iter [58300/80000] lr: 8.788e-07, eta: 8:01:54, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1501, decode.acc_seg: 93.4938, loss: 0.1501 2023-11-02 23:32:10,008 - mmseg - INFO - Iter [58350/80000] lr: 8.768e-07, eta: 8:00:46, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1626, decode.acc_seg: 93.1347, loss: 0.1626 2023-11-02 23:33:10,735 - mmseg - INFO - Iter [58400/80000] lr: 8.748e-07, eta: 7:59:37, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1460, decode.acc_seg: 93.7407, loss: 0.1460 2023-11-02 23:34:11,455 - mmseg - INFO - Iter [58450/80000] lr: 8.728e-07, eta: 7:58:28, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1590, decode.acc_seg: 93.0877, loss: 0.1590 2023-11-02 23:35:12,215 - mmseg - INFO - Iter [58500/80000] lr: 8.707e-07, eta: 7:57:19, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1498, decode.acc_seg: 93.6333, loss: 0.1498 2023-11-02 23:36:12,986 - mmseg - INFO - Iter [58550/80000] lr: 8.687e-07, eta: 7:56:11, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1508, decode.acc_seg: 93.3178, loss: 0.1508 2023-11-02 23:37:13,717 - mmseg - INFO - Iter [58600/80000] lr: 8.667e-07, eta: 7:55:02, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1477, decode.acc_seg: 93.6937, loss: 0.1477 2023-11-02 23:38:14,511 - mmseg - INFO - Iter [58650/80000] lr: 8.647e-07, eta: 7:53:53, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1514, decode.acc_seg: 93.5445, loss: 0.1514 2023-11-02 23:39:15,304 - mmseg - INFO - Iter [58700/80000] lr: 8.626e-07, eta: 7:52:44, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1474, decode.acc_seg: 93.6850, loss: 0.1474 2023-11-02 23:40:16,079 - mmseg - INFO - Iter [58750/80000] lr: 8.606e-07, eta: 7:51:36, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1473, decode.acc_seg: 93.5536, loss: 0.1473 2023-11-02 23:41:16,834 - mmseg - INFO - Iter [58800/80000] lr: 8.586e-07, eta: 7:50:27, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1490, decode.acc_seg: 93.5484, loss: 0.1490 2023-11-02 23:42:17,593 - mmseg - INFO - Iter [58850/80000] lr: 8.566e-07, eta: 7:49:18, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1538, decode.acc_seg: 93.4432, loss: 0.1538 2023-11-02 23:43:18,322 - mmseg - INFO - Iter [58900/80000] lr: 8.545e-07, eta: 7:48:10, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1485, decode.acc_seg: 93.5188, loss: 0.1485 2023-11-02 23:44:19,041 - mmseg - INFO - Iter [58950/80000] lr: 8.525e-07, eta: 7:47:01, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1560, decode.acc_seg: 93.4798, loss: 0.1560 2023-11-02 23:45:19,797 - mmseg - INFO - Saving checkpoint at 59000 iterations 2023-11-02 23:46:18,763 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 23:46:18,763 - mmseg - INFO - Iter [59000/80000] lr: 8.505e-07, eta: 7:46:13, time: 2.394, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1516, decode.acc_seg: 93.4377, loss: 0.1516 2023-11-02 23:47:24,302 - mmseg - INFO - per class results: 2023-11-02 23:47:24,307 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 81.33 | 88.99 | | building | 84.35 | 94.26 | | sky | 94.64 | 97.42 | | floor | 84.29 | 92.51 | | tree | 77.09 | 89.03 | | ceiling | 86.69 | 94.43 | | road | 85.85 | 91.61 | | bed | 91.72 | 97.03 | | windowpane | 67.1 | 80.56 | | grass | 69.2 | 84.44 | | cabinet | 65.77 | 74.71 | | sidewalk | 70.43 | 84.64 | | person | 83.65 | 92.96 | | earth | 40.6 | 52.51 | | door | 61.0 | 75.48 | | table | 70.76 | 82.81 | | mountain | 63.82 | 79.16 | | plant | 53.7 | 66.75 | | curtain | 77.07 | 89.17 | | chair | 62.79 | 73.94 | | car | 86.91 | 93.62 | | water | 61.08 | 75.53 | | painting | 79.33 | 90.05 | | sofa | 80.18 | 86.06 | | shelf | 49.77 | 68.21 | | house | 52.92 | 66.75 | | sea | 69.97 | 88.08 | | mirror | 76.24 | 86.85 | | rug | 64.88 | 74.81 | | field | 31.78 | 50.12 | | armchair | 62.44 | 82.32 | | seat | 63.4 | 88.37 | | fence | 51.62 | 66.06 | | desk | 57.85 | 77.93 | | rock | 52.78 | 79.11 | | wardrobe | 53.07 | 69.37 | | lamp | 71.49 | 81.65 | | bathtub | 87.21 | 90.48 | | railing | 41.41 | 57.71 | | cushion | 65.81 | 80.09 | | base | 39.41 | 54.77 | | box | 39.84 | 48.49 | | column | 51.84 | 63.65 | | signboard | 39.25 | 51.04 | | chest of drawers | 48.93 | 82.0 | | counter | 38.75 | 50.69 | | sand | 60.15 | 85.77 | | sink | 80.29 | 86.18 | | skyscraper | 43.76 | 57.67 | | fireplace | 72.37 | 89.81 | | refrigerator | 86.76 | 93.61 | | grandstand | 50.76 | 83.5 | | path | 21.61 | 26.67 | | stairs | 28.04 | 32.92 | | runway | 71.12 | 90.73 | | case | 57.85 | 78.08 | | pool table | 94.39 | 97.25 | | pillow | 59.48 | 67.81 | | screen door | 77.15 | 79.07 | | stairway | 44.92 | 62.0 | | river | 15.01 | 24.84 | | bridge | 77.77 | 86.9 | | bookcase | 38.11 | 48.37 | | blind | 41.99 | 47.83 | | coffee table | 64.82 | 82.64 | | toilet | 89.72 | 92.99 | | flower | 43.05 | 61.07 | | book | 51.71 | 77.93 | | hill | 10.18 | 16.05 | | bench | 53.68 | 62.04 | | countertop | 64.03 | 81.74 | | stove | 86.36 | 92.76 | | palm | 53.59 | 80.13 | | kitchen island | 47.31 | 73.63 | | computer | 75.78 | 90.15 | | swivel chair | 41.97 | 67.81 | | boat | 77.85 | 91.63 | | bar | 61.77 | 84.17 | | arcade machine | 72.01 | 74.12 | | hovel | 26.21 | 28.7 | | bus | 92.68 | 96.76 | | towel | 76.48 | 85.09 | | light | 48.87 | 56.94 | | truck | 49.31 | 64.21 | | tower | 38.64 | 51.23 | | chandelier | 70.4 | 84.58 | | awning | 35.56 | 43.89 | | streetlight | 28.62 | 38.25 | | booth | 65.33 | 77.98 | | television receiver | 76.2 | 88.11 | | airplane | 83.31 | 90.18 | | dirt track | 15.34 | 52.08 | | apparel | 53.96 | 74.2 | | pole | 24.29 | 34.3 | | land | 5.07 | 7.84 | | bannister | 17.28 | 22.34 | | escalator | 62.72 | 77.85 | | ottoman | 53.48 | 67.36 | | bottle | 41.95 | 61.55 | | buffet | 65.96 | 75.48 | | poster | 37.36 | 48.93 | | stage | 21.12 | 36.96 | | van | 52.84 | 71.0 | | ship | 77.21 | 81.98 | | fountain | 41.87 | 42.37 | | conveyer belt | 78.89 | 93.91 | | canopy | 50.86 | 63.98 | | washer | 84.94 | 89.75 | | plaything | 32.39 | 52.13 | | swimming pool | 64.34 | 75.51 | | stool | 49.72 | 60.96 | | barrel | 62.83 | 87.95 | | basket | 43.51 | 56.89 | | waterfall | 47.15 | 59.44 | | tent | 96.23 | 98.18 | | bag | 24.26 | 27.46 | | minibike | 73.06 | 87.86 | | cradle | 86.17 | 97.27 | | oven | 67.02 | 77.73 | | ball | 55.14 | 58.98 | | food | 61.07 | 70.47 | | step | 10.86 | 12.4 | | tank | 63.4 | 67.49 | | trade name | 28.59 | 33.21 | | microwave | 90.77 | 95.86 | | pot | 58.93 | 66.69 | | animal | 71.02 | 73.43 | | bicycle | 60.87 | 80.54 | | lake | 53.47 | 63.74 | | dishwasher | 75.2 | 81.88 | | screen | 62.25 | 88.95 | | blanket | 29.36 | 35.01 | | sculpture | 77.03 | 88.37 | | hood | 62.47 | 74.68 | | sconce | 57.44 | 72.48 | | vase | 47.87 | 64.74 | | traffic light | 37.58 | 53.97 | | tray | 21.33 | 29.76 | | ashcan | 51.48 | 64.16 | | fan | 64.69 | 77.68 | | pier | 40.14 | 45.24 | | crt screen | 6.03 | 16.0 | | plate | 61.37 | 74.13 | | monitor | 14.69 | 16.71 | | bulletin board | 54.29 | 66.92 | | shower | 13.99 | 19.11 | | radiator | 64.85 | 77.79 | | glass | 18.95 | 20.5 | | clock | 49.56 | 61.79 | | flag | 67.97 | 75.72 | +---------------------+-------+-------+ 2023-11-02 23:47:24,307 - mmseg - INFO - Summary: 2023-11-02 23:47:24,308 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 85.86 | 57.08 | 69.14 | +-------+-------+-------+ 2023-11-02 23:47:24,308 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-02 23:47:24,309 - mmseg - INFO - Iter(val) [250] aAcc: 0.8586, mIoU: 0.5708, mAcc: 0.6914, IoU.wall: 0.8133, IoU.building: 0.8435, IoU.sky: 0.9464, IoU.floor: 0.8429, IoU.tree: 0.7709, IoU.ceiling: 0.8669, IoU.road: 0.8585, IoU.bed : 0.9172, IoU.windowpane: 0.6710, IoU.grass: 0.6920, IoU.cabinet: 0.6577, IoU.sidewalk: 0.7043, IoU.person: 0.8365, IoU.earth: 0.4060, IoU.door: 0.6100, IoU.table: 0.7076, IoU.mountain: 0.6382, IoU.plant: 0.5370, IoU.curtain: 0.7707, IoU.chair: 0.6279, IoU.car: 0.8691, IoU.water: 0.6108, IoU.painting: 0.7933, IoU.sofa: 0.8018, IoU.shelf: 0.4977, IoU.house: 0.5292, IoU.sea: 0.6997, IoU.mirror: 0.7624, IoU.rug: 0.6488, IoU.field: 0.3178, IoU.armchair: 0.6244, IoU.seat: 0.6340, IoU.fence: 0.5162, IoU.desk: 0.5785, IoU.rock: 0.5278, IoU.wardrobe: 0.5307, IoU.lamp: 0.7149, IoU.bathtub: 0.8721, IoU.railing: 0.4141, IoU.cushion: 0.6581, IoU.base: 0.3941, IoU.box: 0.3984, IoU.column: 0.5184, IoU.signboard: 0.3925, IoU.chest of drawers: 0.4893, IoU.counter: 0.3875, IoU.sand: 0.6015, IoU.sink: 0.8029, IoU.skyscraper: 0.4376, IoU.fireplace: 0.7237, IoU.refrigerator: 0.8676, IoU.grandstand: 0.5076, IoU.path: 0.2161, IoU.stairs: 0.2804, IoU.runway: 0.7112, IoU.case: 0.5785, IoU.pool table: 0.9439, IoU.pillow: 0.5948, IoU.screen door: 0.7715, IoU.stairway: 0.4492, IoU.river: 0.1501, IoU.bridge: 0.7777, IoU.bookcase: 0.3811, IoU.blind: 0.4199, IoU.coffee table: 0.6482, IoU.toilet: 0.8972, IoU.flower: 0.4305, IoU.book: 0.5171, IoU.hill: 0.1018, IoU.bench: 0.5368, IoU.countertop: 0.6403, IoU.stove: 0.8636, IoU.palm: 0.5359, IoU.kitchen island: 0.4731, IoU.computer: 0.7578, IoU.swivel chair: 0.4197, IoU.boat: 0.7785, IoU.bar: 0.6177, IoU.arcade machine: 0.7201, IoU.hovel: 0.2621, IoU.bus: 0.9268, IoU.towel: 0.7648, IoU.light: 0.4887, IoU.truck: 0.4931, IoU.tower: 0.3864, IoU.chandelier: 0.7040, IoU.awning: 0.3556, IoU.streetlight: 0.2862, IoU.booth: 0.6533, IoU.television receiver: 0.7620, IoU.airplane: 0.8331, IoU.dirt track: 0.1534, IoU.apparel: 0.5396, IoU.pole: 0.2429, IoU.land: 0.0507, IoU.bannister: 0.1728, IoU.escalator: 0.6272, IoU.ottoman: 0.5348, IoU.bottle: 0.4195, IoU.buffet: 0.6596, IoU.poster: 0.3736, IoU.stage: 0.2112, IoU.van: 0.5284, IoU.ship: 0.7721, IoU.fountain: 0.4187, IoU.conveyer belt: 0.7889, IoU.canopy: 0.5086, IoU.washer: 0.8494, IoU.plaything: 0.3239, IoU.swimming pool: 0.6434, IoU.stool: 0.4972, IoU.barrel: 0.6283, IoU.basket: 0.4351, IoU.waterfall: 0.4715, IoU.tent: 0.9623, IoU.bag: 0.2426, IoU.minibike: 0.7306, IoU.cradle: 0.8617, IoU.oven: 0.6702, IoU.ball: 0.5514, IoU.food: 0.6107, IoU.step: 0.1086, IoU.tank: 0.6340, IoU.trade name: 0.2859, IoU.microwave: 0.9077, IoU.pot: 0.5893, IoU.animal: 0.7102, IoU.bicycle: 0.6087, IoU.lake: 0.5347, IoU.dishwasher: 0.7520, IoU.screen: 0.6225, IoU.blanket: 0.2936, IoU.sculpture: 0.7703, IoU.hood: 0.6247, IoU.sconce: 0.5744, IoU.vase: 0.4787, IoU.traffic light: 0.3758, IoU.tray: 0.2133, IoU.ashcan: 0.5148, IoU.fan: 0.6469, IoU.pier: 0.4014, IoU.crt screen: 0.0603, IoU.plate: 0.6137, IoU.monitor: 0.1469, IoU.bulletin board: 0.5429, IoU.shower: 0.1399, IoU.radiator: 0.6485, IoU.glass: 0.1895, IoU.clock: 0.4956, IoU.flag: 0.6797, Acc.wall: 0.8899, Acc.building: 0.9426, Acc.sky: 0.9742, Acc.floor: 0.9251, Acc.tree: 0.8903, Acc.ceiling: 0.9443, Acc.road: 0.9161, Acc.bed : 0.9703, Acc.windowpane: 0.8056, Acc.grass: 0.8444, Acc.cabinet: 0.7471, Acc.sidewalk: 0.8464, Acc.person: 0.9296, Acc.earth: 0.5251, Acc.door: 0.7548, Acc.table: 0.8281, Acc.mountain: 0.7916, Acc.plant: 0.6675, Acc.curtain: 0.8917, Acc.chair: 0.7394, Acc.car: 0.9362, Acc.water: 0.7553, Acc.painting: 0.9005, Acc.sofa: 0.8606, Acc.shelf: 0.6821, Acc.house: 0.6675, Acc.sea: 0.8808, Acc.mirror: 0.8685, Acc.rug: 0.7481, Acc.field: 0.5012, Acc.armchair: 0.8232, Acc.seat: 0.8837, Acc.fence: 0.6606, Acc.desk: 0.7793, Acc.rock: 0.7911, Acc.wardrobe: 0.6937, Acc.lamp: 0.8165, Acc.bathtub: 0.9048, Acc.railing: 0.5771, Acc.cushion: 0.8009, Acc.base: 0.5477, Acc.box: 0.4849, Acc.column: 0.6365, Acc.signboard: 0.5104, Acc.chest of drawers: 0.8200, Acc.counter: 0.5069, Acc.sand: 0.8577, Acc.sink: 0.8618, Acc.skyscraper: 0.5767, Acc.fireplace: 0.8981, Acc.refrigerator: 0.9361, Acc.grandstand: 0.8350, Acc.path: 0.2667, Acc.stairs: 0.3292, Acc.runway: 0.9073, Acc.case: 0.7808, Acc.pool table: 0.9725, Acc.pillow: 0.6781, Acc.screen door: 0.7907, Acc.stairway: 0.6200, Acc.river: 0.2484, Acc.bridge: 0.8690, Acc.bookcase: 0.4837, Acc.blind: 0.4783, Acc.coffee table: 0.8264, Acc.toilet: 0.9299, Acc.flower: 0.6107, Acc.book: 0.7793, Acc.hill: 0.1605, Acc.bench: 0.6204, Acc.countertop: 0.8174, Acc.stove: 0.9276, Acc.palm: 0.8013, Acc.kitchen island: 0.7363, Acc.computer: 0.9015, Acc.swivel chair: 0.6781, Acc.boat: 0.9163, Acc.bar: 0.8417, Acc.arcade machine: 0.7412, Acc.hovel: 0.2870, Acc.bus: 0.9676, Acc.towel: 0.8509, Acc.light: 0.5694, Acc.truck: 0.6421, Acc.tower: 0.5123, Acc.chandelier: 0.8458, Acc.awning: 0.4389, Acc.streetlight: 0.3825, Acc.booth: 0.7798, Acc.television receiver: 0.8811, Acc.airplane: 0.9018, Acc.dirt track: 0.5208, Acc.apparel: 0.7420, Acc.pole: 0.3430, Acc.land: 0.0784, Acc.bannister: 0.2234, Acc.escalator: 0.7785, Acc.ottoman: 0.6736, Acc.bottle: 0.6155, Acc.buffet: 0.7548, Acc.poster: 0.4893, Acc.stage: 0.3696, Acc.van: 0.7100, Acc.ship: 0.8198, Acc.fountain: 0.4237, Acc.conveyer belt: 0.9391, Acc.canopy: 0.6398, Acc.washer: 0.8975, Acc.plaything: 0.5213, Acc.swimming pool: 0.7551, Acc.stool: 0.6096, Acc.barrel: 0.8795, Acc.basket: 0.5689, Acc.waterfall: 0.5944, Acc.tent: 0.9818, Acc.bag: 0.2746, Acc.minibike: 0.8786, Acc.cradle: 0.9727, Acc.oven: 0.7773, Acc.ball: 0.5898, Acc.food: 0.7047, Acc.step: 0.1240, Acc.tank: 0.6749, Acc.trade name: 0.3321, Acc.microwave: 0.9586, Acc.pot: 0.6669, Acc.animal: 0.7343, Acc.bicycle: 0.8054, Acc.lake: 0.6374, Acc.dishwasher: 0.8188, Acc.screen: 0.8895, Acc.blanket: 0.3501, Acc.sculpture: 0.8837, Acc.hood: 0.7468, Acc.sconce: 0.7248, Acc.vase: 0.6474, Acc.traffic light: 0.5397, Acc.tray: 0.2976, Acc.ashcan: 0.6416, Acc.fan: 0.7768, Acc.pier: 0.4524, Acc.crt screen: 0.1600, Acc.plate: 0.7413, Acc.monitor: 0.1671, Acc.bulletin board: 0.6692, Acc.shower: 0.1911, Acc.radiator: 0.7779, Acc.glass: 0.2050, Acc.clock: 0.6179, Acc.flag: 0.7572 2023-11-02 23:48:25,077 - mmseg - INFO - Iter [59050/80000] lr: 8.485e-07, eta: 7:45:28, time: 2.526, data_time: 1.318, memory: 38534, decode.loss_ce: 0.1586, decode.acc_seg: 93.0954, loss: 0.1586 2023-11-02 23:49:25,852 - mmseg - INFO - Iter [59100/80000] lr: 8.464e-07, eta: 7:44:19, time: 1.216, data_time: 0.009, memory: 38534, decode.loss_ce: 0.1525, decode.acc_seg: 93.5473, loss: 0.1525 2023-11-02 23:50:26,586 - mmseg - INFO - Iter [59150/80000] lr: 8.444e-07, eta: 7:43:10, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1466, decode.acc_seg: 93.6678, loss: 0.1466 2023-11-02 23:51:27,349 - mmseg - INFO - Iter [59200/80000] lr: 8.424e-07, eta: 7:42:02, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1598, decode.acc_seg: 93.1271, loss: 0.1598 2023-11-02 23:52:28,115 - mmseg - INFO - Iter [59250/80000] lr: 8.404e-07, eta: 7:40:53, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1439, decode.acc_seg: 93.8555, loss: 0.1439 2023-11-02 23:53:28,887 - mmseg - INFO - Iter [59300/80000] lr: 8.383e-07, eta: 7:39:44, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1508, decode.acc_seg: 93.5984, loss: 0.1508 2023-11-02 23:54:29,665 - mmseg - INFO - Iter [59350/80000] lr: 8.363e-07, eta: 7:38:36, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1547, decode.acc_seg: 93.3656, loss: 0.1547 2023-11-02 23:55:32,693 - mmseg - INFO - Iter [59400/80000] lr: 8.343e-07, eta: 7:37:28, time: 1.261, data_time: 0.052, memory: 38534, decode.loss_ce: 0.1499, decode.acc_seg: 93.4444, loss: 0.1499 2023-11-02 23:56:33,393 - mmseg - INFO - Iter [59450/80000] lr: 8.323e-07, eta: 7:36:19, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1541, decode.acc_seg: 93.5469, loss: 0.1541 2023-11-02 23:57:34,132 - mmseg - INFO - Iter [59500/80000] lr: 8.302e-07, eta: 7:35:11, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1524, decode.acc_seg: 93.5174, loss: 0.1524 2023-11-02 23:58:34,892 - mmseg - INFO - Iter [59550/80000] lr: 8.282e-07, eta: 7:34:02, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1507, decode.acc_seg: 93.3643, loss: 0.1507 2023-11-02 23:59:35,660 - mmseg - INFO - Iter [59600/80000] lr: 8.262e-07, eta: 7:32:53, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1541, decode.acc_seg: 93.3383, loss: 0.1541 2023-11-03 00:00:36,417 - mmseg - INFO - Iter [59650/80000] lr: 8.242e-07, eta: 7:31:45, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1528, decode.acc_seg: 93.3638, loss: 0.1528 2023-11-03 00:01:37,169 - mmseg - INFO - Iter [59700/80000] lr: 8.221e-07, eta: 7:30:36, time: 1.215, data_time: 0.008, memory: 38534, decode.loss_ce: 0.1436, decode.acc_seg: 93.6438, loss: 0.1436 2023-11-03 00:02:37,934 - mmseg - INFO - Iter [59750/80000] lr: 8.201e-07, eta: 7:29:28, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1527, decode.acc_seg: 93.3498, loss: 0.1527 2023-11-03 00:03:38,683 - mmseg - INFO - Iter [59800/80000] lr: 8.181e-07, eta: 7:28:19, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1511, decode.acc_seg: 93.4924, loss: 0.1511 2023-11-03 00:04:39,417 - mmseg - INFO - Iter [59850/80000] lr: 8.161e-07, eta: 7:27:10, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1554, decode.acc_seg: 93.2329, loss: 0.1554 2023-11-03 00:05:40,157 - mmseg - INFO - Iter [59900/80000] lr: 8.140e-07, eta: 7:26:02, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1516, decode.acc_seg: 93.4356, loss: 0.1516 2023-11-03 00:06:40,904 - mmseg - INFO - Iter [59950/80000] lr: 8.120e-07, eta: 7:24:53, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1555, decode.acc_seg: 93.2395, loss: 0.1555 2023-11-03 00:07:41,629 - mmseg - INFO - Saving checkpoint at 60000 iterations 2023-11-03 00:08:42,491 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-03 00:08:42,491 - mmseg - INFO - Iter [60000/80000] lr: 8.100e-07, eta: 7:24:05, time: 2.432, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1519, decode.acc_seg: 93.5755, loss: 0.1519 2023-11-03 00:09:41,943 - mmseg - INFO - per class results: 2023-11-03 00:09:41,948 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 81.15 | 90.12 | | building | 84.71 | 93.67 | | sky | 94.6 | 97.62 | | floor | 84.54 | 91.89 | | tree | 77.17 | 89.61 | | ceiling | 86.79 | 92.48 | | road | 86.54 | 91.19 | | bed | 92.01 | 96.94 | | windowpane | 66.38 | 81.87 | | grass | 68.5 | 83.31 | | cabinet | 66.84 | 76.54 | | sidewalk | 70.23 | 84.59 | | person | 83.66 | 92.07 | | earth | 41.24 | 54.58 | | door | 60.39 | 73.83 | | table | 70.51 | 81.92 | | mountain | 64.27 | 76.45 | | plant | 55.4 | 69.89 | | curtain | 75.74 | 86.61 | | chair | 63.64 | 75.92 | | car | 86.98 | 93.25 | | water | 62.4 | 79.32 | | painting | 77.72 | 89.47 | | sofa | 82.53 | 89.72 | | shelf | 48.55 | 66.56 | | house | 54.83 | 68.31 | | sea | 71.1 | 88.71 | | mirror | 77.57 | 87.05 | | rug | 65.56 | 77.28 | | field | 31.24 | 50.52 | | armchair | 64.15 | 80.9 | | seat | 63.66 | 88.81 | | fence | 51.57 | 68.35 | | desk | 59.67 | 76.24 | | rock | 54.98 | 84.18 | | wardrobe | 55.9 | 73.22 | | lamp | 71.39 | 80.66 | | bathtub | 86.18 | 89.12 | | railing | 40.29 | 58.37 | | cushion | 66.47 | 78.98 | | base | 39.59 | 50.85 | | box | 40.95 | 50.77 | | column | 50.51 | 61.44 | | signboard | 37.97 | 51.23 | | chest of drawers | 50.05 | 70.87 | | counter | 38.16 | 49.45 | | sand | 59.16 | 86.63 | | sink | 78.98 | 84.42 | | skyscraper | 44.72 | 58.97 | | fireplace | 73.84 | 88.84 | | refrigerator | 85.9 | 92.12 | | grandstand | 51.09 | 84.27 | | path | 27.04 | 33.72 | | stairs | 28.77 | 35.42 | | runway | 72.85 | 93.1 | | case | 56.31 | 78.33 | | pool table | 94.35 | 97.45 | | pillow | 62.98 | 73.95 | | screen door | 74.24 | 75.41 | | stairway | 47.43 | 65.21 | | river | 15.06 | 20.56 | | bridge | 76.01 | 87.62 | | bookcase | 42.94 | 59.4 | | blind | 38.87 | 43.12 | | coffee table | 63.29 | 84.81 | | toilet | 89.72 | 93.0 | | flower | 41.69 | 57.69 | | book | 49.44 | 75.31 | | hill | 11.06 | 16.29 | | bench | 53.82 | 59.81 | | countertop | 64.36 | 79.39 | | stove | 86.14 | 92.13 | | palm | 53.53 | 74.07 | | kitchen island | 49.34 | 72.18 | | computer | 76.43 | 89.14 | | swivel chair | 43.23 | 65.65 | | boat | 81.26 | 87.94 | | bar | 61.9 | 81.9 | | arcade machine | 66.33 | 67.87 | | hovel | 27.03 | 29.18 | | bus | 93.15 | 96.81 | | towel | 75.57 | 84.49 | | light | 48.07 | 56.96 | | truck | 49.12 | 59.28 | | tower | 39.59 | 61.18 | | chandelier | 69.89 | 84.21 | | awning | 34.67 | 42.64 | | streetlight | 27.1 | 34.4 | | booth | 69.79 | 75.61 | | television receiver | 75.24 | 88.02 | | airplane | 85.14 | 91.22 | | dirt track | 16.49 | 49.45 | | apparel | 49.43 | 65.14 | | pole | 22.36 | 30.61 | | land | 4.84 | 5.8 | | bannister | 16.77 | 21.96 | | escalator | 65.88 | 82.69 | | ottoman | 52.22 | 65.8 | | bottle | 42.77 | 63.69 | | buffet | 62.56 | 71.69 | | poster | 37.74 | 44.54 | | stage | 22.94 | 37.56 | | van | 51.06 | 69.19 | | ship | 77.01 | 80.88 | | fountain | 32.95 | 33.06 | | conveyer belt | 80.9 | 93.01 | | canopy | 47.03 | 62.71 | | washer | 84.1 | 88.67 | | plaything | 33.51 | 51.53 | | swimming pool | 63.41 | 78.06 | | stool | 50.75 | 64.94 | | barrel | 57.81 | 84.47 | | basket | 43.78 | 56.81 | | waterfall | 47.41 | 57.75 | | tent | 96.15 | 98.09 | | bag | 22.67 | 24.94 | | minibike | 73.41 | 87.63 | | cradle | 86.81 | 97.26 | | oven | 60.76 | 70.21 | | ball | 60.61 | 68.82 | | food | 59.61 | 69.41 | | step | 12.76 | 14.88 | | tank | 62.61 | 65.58 | | trade name | 26.25 | 29.5 | | microwave | 90.71 | 94.92 | | pot | 58.41 | 66.2 | | animal | 71.06 | 73.3 | | bicycle | 60.79 | 77.79 | | lake | 53.65 | 63.69 | | dishwasher | 71.86 | 83.04 | | screen | 61.1 | 93.46 | | blanket | 29.59 | 35.51 | | sculpture | 77.41 | 88.76 | | hood | 61.87 | 71.74 | | sconce | 55.48 | 65.73 | | vase | 47.73 | 63.26 | | traffic light | 35.48 | 53.32 | | tray | 20.75 | 25.97 | | ashcan | 50.9 | 62.43 | | fan | 65.37 | 80.74 | | pier | 39.96 | 43.5 | | crt screen | 1.68 | 3.2 | | plate | 58.85 | 82.15 | | monitor | 35.34 | 40.98 | | bulletin board | 54.81 | 66.6 | | shower | 14.09 | 19.44 | | radiator | 65.49 | 77.06 | | glass | 20.16 | 22.23 | | clock | 47.95 | 61.68 | | flag | 67.3 | 73.92 | +---------------------+-------+-------+ 2023-11-03 00:09:41,948 - mmseg - INFO - Summary: 2023-11-03 00:09:41,949 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 85.96 | 57.09 | 68.81 | +-------+-------+-------+ 2023-11-03 00:09:41,949 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-03 00:09:41,950 - mmseg - INFO - Iter(val) [250] aAcc: 0.8596, mIoU: 0.5709, mAcc: 0.6881, IoU.wall: 0.8115, IoU.building: 0.8471, IoU.sky: 0.9460, IoU.floor: 0.8454, IoU.tree: 0.7717, IoU.ceiling: 0.8679, IoU.road: 0.8654, IoU.bed : 0.9201, IoU.windowpane: 0.6638, IoU.grass: 0.6850, IoU.cabinet: 0.6684, IoU.sidewalk: 0.7023, IoU.person: 0.8366, IoU.earth: 0.4124, IoU.door: 0.6039, IoU.table: 0.7051, IoU.mountain: 0.6427, IoU.plant: 0.5540, IoU.curtain: 0.7574, IoU.chair: 0.6364, IoU.car: 0.8698, IoU.water: 0.6240, IoU.painting: 0.7772, IoU.sofa: 0.8253, IoU.shelf: 0.4855, IoU.house: 0.5483, IoU.sea: 0.7110, IoU.mirror: 0.7757, IoU.rug: 0.6556, IoU.field: 0.3124, IoU.armchair: 0.6415, IoU.seat: 0.6366, IoU.fence: 0.5157, IoU.desk: 0.5967, IoU.rock: 0.5498, IoU.wardrobe: 0.5590, IoU.lamp: 0.7139, IoU.bathtub: 0.8618, IoU.railing: 0.4029, IoU.cushion: 0.6647, IoU.base: 0.3959, IoU.box: 0.4095, IoU.column: 0.5051, IoU.signboard: 0.3797, IoU.chest of drawers: 0.5005, IoU.counter: 0.3816, IoU.sand: 0.5916, IoU.sink: 0.7898, IoU.skyscraper: 0.4472, IoU.fireplace: 0.7384, IoU.refrigerator: 0.8590, IoU.grandstand: 0.5109, IoU.path: 0.2704, IoU.stairs: 0.2877, IoU.runway: 0.7285, IoU.case: 0.5631, IoU.pool table: 0.9435, IoU.pillow: 0.6298, IoU.screen door: 0.7424, IoU.stairway: 0.4743, IoU.river: 0.1506, IoU.bridge: 0.7601, IoU.bookcase: 0.4294, IoU.blind: 0.3887, IoU.coffee table: 0.6329, IoU.toilet: 0.8972, IoU.flower: 0.4169, IoU.book: 0.4944, IoU.hill: 0.1106, IoU.bench: 0.5382, IoU.countertop: 0.6436, IoU.stove: 0.8614, IoU.palm: 0.5353, IoU.kitchen island: 0.4934, IoU.computer: 0.7643, IoU.swivel chair: 0.4323, IoU.boat: 0.8126, IoU.bar: 0.6190, IoU.arcade machine: 0.6633, IoU.hovel: 0.2703, IoU.bus: 0.9315, IoU.towel: 0.7557, IoU.light: 0.4807, IoU.truck: 0.4912, IoU.tower: 0.3959, IoU.chandelier: 0.6989, IoU.awning: 0.3467, IoU.streetlight: 0.2710, IoU.booth: 0.6979, IoU.television receiver: 0.7524, IoU.airplane: 0.8514, IoU.dirt track: 0.1649, IoU.apparel: 0.4943, IoU.pole: 0.2236, IoU.land: 0.0484, IoU.bannister: 0.1677, IoU.escalator: 0.6588, IoU.ottoman: 0.5222, IoU.bottle: 0.4277, IoU.buffet: 0.6256, IoU.poster: 0.3774, IoU.stage: 0.2294, IoU.van: 0.5106, IoU.ship: 0.7701, IoU.fountain: 0.3295, IoU.conveyer belt: 0.8090, IoU.canopy: 0.4703, IoU.washer: 0.8410, IoU.plaything: 0.3351, IoU.swimming pool: 0.6341, IoU.stool: 0.5075, IoU.barrel: 0.5781, IoU.basket: 0.4378, IoU.waterfall: 0.4741, IoU.tent: 0.9615, IoU.bag: 0.2267, IoU.minibike: 0.7341, IoU.cradle: 0.8681, IoU.oven: 0.6076, IoU.ball: 0.6061, IoU.food: 0.5961, IoU.step: 0.1276, IoU.tank: 0.6261, IoU.trade name: 0.2625, IoU.microwave: 0.9071, IoU.pot: 0.5841, IoU.animal: 0.7106, IoU.bicycle: 0.6079, IoU.lake: 0.5365, IoU.dishwasher: 0.7186, IoU.screen: 0.6110, IoU.blanket: 0.2959, IoU.sculpture: 0.7741, IoU.hood: 0.6187, IoU.sconce: 0.5548, IoU.vase: 0.4773, IoU.traffic light: 0.3548, IoU.tray: 0.2075, IoU.ashcan: 0.5090, IoU.fan: 0.6537, IoU.pier: 0.3996, IoU.crt screen: 0.0168, IoU.plate: 0.5885, IoU.monitor: 0.3534, IoU.bulletin board: 0.5481, IoU.shower: 0.1409, IoU.radiator: 0.6549, IoU.glass: 0.2016, IoU.clock: 0.4795, IoU.flag: 0.6730, Acc.wall: 0.9012, Acc.building: 0.9367, Acc.sky: 0.9762, Acc.floor: 0.9189, Acc.tree: 0.8961, Acc.ceiling: 0.9248, Acc.road: 0.9119, Acc.bed : 0.9694, Acc.windowpane: 0.8187, Acc.grass: 0.8331, Acc.cabinet: 0.7654, Acc.sidewalk: 0.8459, Acc.person: 0.9207, Acc.earth: 0.5458, Acc.door: 0.7383, Acc.table: 0.8192, Acc.mountain: 0.7645, Acc.plant: 0.6989, Acc.curtain: 0.8661, Acc.chair: 0.7592, Acc.car: 0.9325, Acc.water: 0.7932, Acc.painting: 0.8947, Acc.sofa: 0.8972, Acc.shelf: 0.6656, Acc.house: 0.6831, Acc.sea: 0.8871, Acc.mirror: 0.8705, Acc.rug: 0.7728, Acc.field: 0.5052, Acc.armchair: 0.8090, Acc.seat: 0.8881, Acc.fence: 0.6835, Acc.desk: 0.7624, Acc.rock: 0.8418, Acc.wardrobe: 0.7322, Acc.lamp: 0.8066, Acc.bathtub: 0.8912, Acc.railing: 0.5837, Acc.cushion: 0.7898, Acc.base: 0.5085, Acc.box: 0.5077, Acc.column: 0.6144, Acc.signboard: 0.5123, Acc.chest of drawers: 0.7087, Acc.counter: 0.4945, Acc.sand: 0.8663, Acc.sink: 0.8442, Acc.skyscraper: 0.5897, Acc.fireplace: 0.8884, Acc.refrigerator: 0.9212, Acc.grandstand: 0.8427, Acc.path: 0.3372, Acc.stairs: 0.3542, Acc.runway: 0.9310, Acc.case: 0.7833, Acc.pool table: 0.9745, Acc.pillow: 0.7395, Acc.screen door: 0.7541, Acc.stairway: 0.6521, Acc.river: 0.2056, Acc.bridge: 0.8762, Acc.bookcase: 0.5940, Acc.blind: 0.4312, Acc.coffee table: 0.8481, Acc.toilet: 0.9300, Acc.flower: 0.5769, Acc.book: 0.7531, Acc.hill: 0.1629, Acc.bench: 0.5981, Acc.countertop: 0.7939, Acc.stove: 0.9213, Acc.palm: 0.7407, Acc.kitchen island: 0.7218, Acc.computer: 0.8914, Acc.swivel chair: 0.6565, Acc.boat: 0.8794, Acc.bar: 0.8190, Acc.arcade machine: 0.6787, Acc.hovel: 0.2918, Acc.bus: 0.9681, Acc.towel: 0.8449, Acc.light: 0.5696, Acc.truck: 0.5928, Acc.tower: 0.6118, Acc.chandelier: 0.8421, Acc.awning: 0.4264, Acc.streetlight: 0.3440, Acc.booth: 0.7561, Acc.television receiver: 0.8802, Acc.airplane: 0.9122, Acc.dirt track: 0.4945, Acc.apparel: 0.6514, Acc.pole: 0.3061, Acc.land: 0.0580, Acc.bannister: 0.2196, Acc.escalator: 0.8269, Acc.ottoman: 0.6580, Acc.bottle: 0.6369, Acc.buffet: 0.7169, Acc.poster: 0.4454, Acc.stage: 0.3756, Acc.van: 0.6919, Acc.ship: 0.8088, Acc.fountain: 0.3306, Acc.conveyer belt: 0.9301, Acc.canopy: 0.6271, Acc.washer: 0.8867, Acc.plaything: 0.5153, Acc.swimming pool: 0.7806, Acc.stool: 0.6494, Acc.barrel: 0.8447, Acc.basket: 0.5681, Acc.waterfall: 0.5775, Acc.tent: 0.9809, Acc.bag: 0.2494, Acc.minibike: 0.8763, Acc.cradle: 0.9726, Acc.oven: 0.7021, Acc.ball: 0.6882, Acc.food: 0.6941, Acc.step: 0.1488, Acc.tank: 0.6558, Acc.trade name: 0.2950, Acc.microwave: 0.9492, Acc.pot: 0.6620, Acc.animal: 0.7330, Acc.bicycle: 0.7779, Acc.lake: 0.6369, Acc.dishwasher: 0.8304, Acc.screen: 0.9346, Acc.blanket: 0.3551, Acc.sculpture: 0.8876, Acc.hood: 0.7174, Acc.sconce: 0.6573, Acc.vase: 0.6326, Acc.traffic light: 0.5332, Acc.tray: 0.2597, Acc.ashcan: 0.6243, Acc.fan: 0.8074, Acc.pier: 0.4350, Acc.crt screen: 0.0320, Acc.plate: 0.8215, Acc.monitor: 0.4098, Acc.bulletin board: 0.6660, Acc.shower: 0.1944, Acc.radiator: 0.7706, Acc.glass: 0.2223, Acc.clock: 0.6168, Acc.flag: 0.7392 2023-11-03 00:10:42,789 - mmseg - INFO - Iter [60050/80000] lr: 8.080e-07, eta: 7:23:16, time: 2.406, data_time: 1.197, memory: 38534, decode.loss_ce: 0.1505, decode.acc_seg: 93.5440, loss: 0.1505 2023-11-03 00:11:43,557 - mmseg - INFO - Iter [60100/80000] lr: 8.059e-07, eta: 7:22:08, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1602, decode.acc_seg: 93.2073, loss: 0.1602 2023-11-03 00:12:44,317 - mmseg - INFO - Iter [60150/80000] lr: 8.039e-07, eta: 7:20:59, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1512, decode.acc_seg: 93.4685, loss: 0.1512 2023-11-03 00:13:45,048 - mmseg - INFO - Iter [60200/80000] lr: 8.019e-07, eta: 7:19:51, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1513, decode.acc_seg: 93.4198, loss: 0.1513 2023-11-03 00:14:45,775 - mmseg - INFO - Iter [60250/80000] lr: 7.999e-07, eta: 7:18:42, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1599, decode.acc_seg: 93.1518, loss: 0.1599 2023-11-03 00:15:50,591 - mmseg - INFO - Iter [60300/80000] lr: 7.978e-07, eta: 7:17:35, time: 1.296, data_time: 0.085, memory: 38534, decode.loss_ce: 0.1510, decode.acc_seg: 93.5601, loss: 0.1510 2023-11-03 00:16:51,293 - mmseg - INFO - Iter [60350/80000] lr: 7.958e-07, eta: 7:16:26, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1475, decode.acc_seg: 93.6779, loss: 0.1475 2023-11-03 00:17:52,019 - mmseg - INFO - Iter [60400/80000] lr: 7.938e-07, eta: 7:15:18, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1502, decode.acc_seg: 93.5620, loss: 0.1502 2023-11-03 00:18:52,754 - mmseg - INFO - Iter [60450/80000] lr: 7.918e-07, eta: 7:14:09, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1432, decode.acc_seg: 93.6632, loss: 0.1432 2023-11-03 00:19:53,475 - mmseg - INFO - Iter [60500/80000] lr: 7.897e-07, eta: 7:13:01, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1591, decode.acc_seg: 93.2489, loss: 0.1591 2023-11-03 00:20:54,176 - mmseg - INFO - Iter [60550/80000] lr: 7.877e-07, eta: 7:11:52, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1533, decode.acc_seg: 93.3374, loss: 0.1533 2023-11-03 00:21:54,893 - mmseg - INFO - Iter [60600/80000] lr: 7.857e-07, eta: 7:10:44, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1491, decode.acc_seg: 93.5972, loss: 0.1491 2023-11-03 00:22:57,991 - mmseg - INFO - Iter [60650/80000] lr: 7.837e-07, eta: 7:09:36, time: 1.262, data_time: 0.054, memory: 38534, decode.loss_ce: 0.1586, decode.acc_seg: 93.2015, loss: 0.1586 2023-11-03 00:23:58,720 - mmseg - INFO - Iter [60700/80000] lr: 7.816e-07, eta: 7:08:27, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1445, decode.acc_seg: 93.6746, loss: 0.1445 2023-11-03 00:24:59,467 - mmseg - INFO - Iter [60750/80000] lr: 7.796e-07, eta: 7:07:19, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1427, decode.acc_seg: 93.6498, loss: 0.1427 2023-11-03 00:26:00,201 - mmseg - INFO - Iter [60800/80000] lr: 7.776e-07, eta: 7:06:10, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1523, decode.acc_seg: 93.6531, loss: 0.1523 2023-11-03 00:27:01,023 - mmseg - INFO - Iter [60850/80000] lr: 7.756e-07, eta: 7:05:02, time: 1.216, data_time: 0.010, memory: 38534, decode.loss_ce: 0.1596, decode.acc_seg: 93.0759, loss: 0.1596 2023-11-03 00:28:01,775 - mmseg - INFO - Iter [60900/80000] lr: 7.735e-07, eta: 7:03:54, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1354, decode.acc_seg: 94.0336, loss: 0.1354 2023-11-03 00:29:02,497 - mmseg - INFO - Iter [60950/80000] lr: 7.715e-07, eta: 7:02:45, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1519, decode.acc_seg: 93.5065, loss: 0.1519 2023-11-03 00:30:03,210 - mmseg - INFO - Saving checkpoint at 61000 iterations 2023-11-03 00:30:57,188 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-03 00:30:57,188 - mmseg - INFO - Iter [61000/80000] lr: 7.695e-07, eta: 7:01:54, time: 2.294, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1512, decode.acc_seg: 93.4368, loss: 0.1512 2023-11-03 00:31:59,082 - mmseg - INFO - per class results: 2023-11-03 00:31:59,087 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 80.89 | 89.39 | | building | 84.43 | 93.76 | | sky | 94.6 | 97.71 | | floor | 84.28 | 91.69 | | tree | 76.77 | 89.1 | | ceiling | 86.89 | 93.79 | | road | 86.6 | 91.71 | | bed | 92.0 | 96.55 | | windowpane | 66.3 | 82.6 | | grass | 70.61 | 82.09 | | cabinet | 66.51 | 75.21 | | sidewalk | 70.43 | 84.35 | | person | 83.61 | 93.43 | | earth | 41.97 | 58.09 | | door | 60.72 | 76.85 | | table | 69.63 | 81.22 | | mountain | 58.57 | 70.39 | | plant | 54.42 | 66.95 | | curtain | 76.52 | 88.22 | | chair | 63.37 | 75.81 | | car | 87.04 | 93.39 | | water | 61.62 | 76.58 | | painting | 77.96 | 90.36 | | sofa | 80.75 | 89.0 | | shelf | 47.21 | 60.3 | | house | 53.17 | 66.1 | | sea | 70.08 | 90.23 | | mirror | 77.05 | 87.5 | | rug | 63.88 | 73.17 | | field | 33.59 | 50.88 | | armchair | 62.31 | 81.41 | | seat | 63.49 | 89.07 | | fence | 53.17 | 68.62 | | desk | 57.74 | 79.36 | | rock | 53.93 | 82.95 | | wardrobe | 55.66 | 74.39 | | lamp | 71.68 | 83.95 | | bathtub | 86.78 | 90.35 | | railing | 40.45 | 55.43 | | cushion | 66.18 | 79.22 | | base | 39.1 | 52.92 | | box | 39.92 | 49.07 | | column | 50.71 | 60.82 | | signboard | 38.95 | 54.64 | | chest of drawers | 49.66 | 72.98 | | counter | 35.57 | 45.96 | | sand | 60.22 | 86.61 | | sink | 80.42 | 87.44 | | skyscraper | 43.91 | 55.71 | | fireplace | 73.53 | 90.01 | | refrigerator | 87.08 | 92.7 | | grandstand | 51.83 | 77.18 | | path | 26.8 | 34.64 | | stairs | 27.6 | 34.74 | | runway | 72.17 | 92.31 | | case | 57.12 | 80.51 | | pool table | 93.97 | 98.15 | | pillow | 64.41 | 76.81 | | screen door | 75.57 | 77.13 | | stairway | 44.4 | 64.02 | | river | 15.83 | 22.31 | | bridge | 72.77 | 80.12 | | bookcase | 41.26 | 59.0 | | blind | 39.09 | 41.47 | | coffee table | 60.83 | 87.71 | | toilet | 89.99 | 93.91 | | flower | 44.21 | 62.63 | | book | 48.88 | 74.3 | | hill | 8.48 | 11.27 | | bench | 53.99 | 61.12 | | countertop | 64.44 | 83.56 | | stove | 86.34 | 93.6 | | palm | 53.48 | 77.28 | | kitchen island | 50.12 | 78.41 | | computer | 76.2 | 89.4 | | swivel chair | 43.61 | 65.97 | | boat | 80.22 | 91.06 | | bar | 63.06 | 87.39 | | arcade machine | 67.14 | 68.8 | | hovel | 18.25 | 19.39 | | bus | 92.75 | 96.91 | | towel | 75.17 | 86.62 | | light | 48.33 | 55.44 | | truck | 50.93 | 63.03 | | tower | 38.42 | 60.57 | | chandelier | 69.83 | 79.87 | | awning | 36.55 | 46.82 | | streetlight | 27.41 | 35.8 | | booth | 66.63 | 71.1 | | television receiver | 74.65 | 89.49 | | airplane | 82.67 | 88.17 | | dirt track | 13.98 | 52.89 | | apparel | 49.67 | 64.66 | | pole | 21.51 | 30.1 | | land | 4.99 | 6.4 | | bannister | 18.38 | 24.71 | | escalator | 64.4 | 80.01 | | ottoman | 49.46 | 64.42 | | bottle | 42.9 | 66.88 | | buffet | 62.78 | 71.86 | | poster | 32.91 | 40.15 | | stage | 19.12 | 33.56 | | van | 52.37 | 70.04 | | ship | 77.64 | 80.29 | | fountain | 38.58 | 38.9 | | conveyer belt | 80.25 | 93.24 | | canopy | 48.23 | 62.19 | | washer | 86.4 | 91.4 | | plaything | 33.24 | 50.19 | | swimming pool | 58.85 | 74.54 | | stool | 49.11 | 65.52 | | barrel | 61.18 | 88.83 | | basket | 42.72 | 54.83 | | waterfall | 48.74 | 55.66 | | tent | 96.09 | 98.02 | | bag | 25.64 | 29.35 | | minibike | 73.74 | 88.17 | | cradle | 85.26 | 97.62 | | oven | 64.57 | 75.54 | | ball | 58.5 | 63.19 | | food | 60.21 | 70.85 | | step | 12.04 | 13.97 | | tank | 62.06 | 66.71 | | trade name | 25.65 | 28.59 | | microwave | 90.74 | 96.42 | | pot | 59.29 | 67.8 | | animal | 69.74 | 71.74 | | bicycle | 60.7 | 76.5 | | lake | 53.34 | 63.81 | | dishwasher | 72.94 | 83.74 | | screen | 59.23 | 84.63 | | blanket | 26.22 | 29.43 | | sculpture | 75.4 | 88.6 | | hood | 63.2 | 75.28 | | sconce | 56.85 | 69.95 | | vase | 46.33 | 60.94 | | traffic light | 35.45 | 56.53 | | tray | 20.55 | 29.12 | | ashcan | 50.41 | 66.23 | | fan | 63.0 | 73.58 | | pier | 39.7 | 46.54 | | crt screen | 5.97 | 14.28 | | plate | 60.81 | 79.84 | | monitor | 24.55 | 28.44 | | bulletin board | 50.57 | 61.41 | | shower | 12.54 | 19.86 | | radiator | 64.17 | 76.91 | | glass | 19.25 | 20.71 | | clock | 48.29 | 64.18 | | flag | 68.88 | 77.11 | +---------------------+-------+-------+ 2023-11-03 00:31:59,087 - mmseg - INFO - Summary: 2023-11-03 00:31:59,088 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 85.81 | 56.71 | 68.83 | +-------+-------+-------+ 2023-11-03 00:31:59,088 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-03 00:31:59,089 - mmseg - INFO - Iter(val) [250] aAcc: 0.8581, mIoU: 0.5671, mAcc: 0.6883, IoU.wall: 0.8089, IoU.building: 0.8443, IoU.sky: 0.9460, IoU.floor: 0.8428, IoU.tree: 0.7677, IoU.ceiling: 0.8689, IoU.road: 0.8660, IoU.bed : 0.9200, IoU.windowpane: 0.6630, IoU.grass: 0.7061, IoU.cabinet: 0.6651, IoU.sidewalk: 0.7043, IoU.person: 0.8361, IoU.earth: 0.4197, IoU.door: 0.6072, IoU.table: 0.6963, IoU.mountain: 0.5857, IoU.plant: 0.5442, IoU.curtain: 0.7652, IoU.chair: 0.6337, IoU.car: 0.8704, IoU.water: 0.6162, IoU.painting: 0.7796, IoU.sofa: 0.8075, IoU.shelf: 0.4721, IoU.house: 0.5317, IoU.sea: 0.7008, IoU.mirror: 0.7705, IoU.rug: 0.6388, IoU.field: 0.3359, IoU.armchair: 0.6231, IoU.seat: 0.6349, IoU.fence: 0.5317, IoU.desk: 0.5774, IoU.rock: 0.5393, IoU.wardrobe: 0.5566, IoU.lamp: 0.7168, IoU.bathtub: 0.8678, IoU.railing: 0.4045, IoU.cushion: 0.6618, IoU.base: 0.3910, IoU.box: 0.3992, IoU.column: 0.5071, IoU.signboard: 0.3895, IoU.chest of drawers: 0.4966, IoU.counter: 0.3557, IoU.sand: 0.6022, IoU.sink: 0.8042, IoU.skyscraper: 0.4391, IoU.fireplace: 0.7353, IoU.refrigerator: 0.8708, IoU.grandstand: 0.5183, IoU.path: 0.2680, IoU.stairs: 0.2760, IoU.runway: 0.7217, IoU.case: 0.5712, IoU.pool table: 0.9397, IoU.pillow: 0.6441, IoU.screen door: 0.7557, IoU.stairway: 0.4440, IoU.river: 0.1583, IoU.bridge: 0.7277, IoU.bookcase: 0.4126, IoU.blind: 0.3909, IoU.coffee table: 0.6083, IoU.toilet: 0.8999, IoU.flower: 0.4421, IoU.book: 0.4888, IoU.hill: 0.0848, IoU.bench: 0.5399, IoU.countertop: 0.6444, IoU.stove: 0.8634, IoU.palm: 0.5348, IoU.kitchen island: 0.5012, IoU.computer: 0.7620, IoU.swivel chair: 0.4361, IoU.boat: 0.8022, IoU.bar: 0.6306, IoU.arcade machine: 0.6714, IoU.hovel: 0.1825, IoU.bus: 0.9275, IoU.towel: 0.7517, IoU.light: 0.4833, IoU.truck: 0.5093, IoU.tower: 0.3842, IoU.chandelier: 0.6983, IoU.awning: 0.3655, IoU.streetlight: 0.2741, IoU.booth: 0.6663, IoU.television receiver: 0.7465, IoU.airplane: 0.8267, IoU.dirt track: 0.1398, IoU.apparel: 0.4967, IoU.pole: 0.2151, IoU.land: 0.0499, IoU.bannister: 0.1838, IoU.escalator: 0.6440, IoU.ottoman: 0.4946, IoU.bottle: 0.4290, IoU.buffet: 0.6278, IoU.poster: 0.3291, IoU.stage: 0.1912, IoU.van: 0.5237, IoU.ship: 0.7764, IoU.fountain: 0.3858, IoU.conveyer belt: 0.8025, IoU.canopy: 0.4823, IoU.washer: 0.8640, IoU.plaything: 0.3324, IoU.swimming pool: 0.5885, IoU.stool: 0.4911, IoU.barrel: 0.6118, IoU.basket: 0.4272, IoU.waterfall: 0.4874, IoU.tent: 0.9609, IoU.bag: 0.2564, IoU.minibike: 0.7374, IoU.cradle: 0.8526, IoU.oven: 0.6457, IoU.ball: 0.5850, IoU.food: 0.6021, IoU.step: 0.1204, IoU.tank: 0.6206, IoU.trade name: 0.2565, IoU.microwave: 0.9074, IoU.pot: 0.5929, IoU.animal: 0.6974, IoU.bicycle: 0.6070, IoU.lake: 0.5334, IoU.dishwasher: 0.7294, IoU.screen: 0.5923, IoU.blanket: 0.2622, IoU.sculpture: 0.7540, IoU.hood: 0.6320, IoU.sconce: 0.5685, IoU.vase: 0.4633, IoU.traffic light: 0.3545, IoU.tray: 0.2055, IoU.ashcan: 0.5041, IoU.fan: 0.6300, IoU.pier: 0.3970, IoU.crt screen: 0.0597, IoU.plate: 0.6081, IoU.monitor: 0.2455, IoU.bulletin board: 0.5057, IoU.shower: 0.1254, IoU.radiator: 0.6417, IoU.glass: 0.1925, IoU.clock: 0.4829, IoU.flag: 0.6888, Acc.wall: 0.8939, Acc.building: 0.9376, Acc.sky: 0.9771, Acc.floor: 0.9169, Acc.tree: 0.8910, Acc.ceiling: 0.9379, Acc.road: 0.9171, Acc.bed : 0.9655, Acc.windowpane: 0.8260, Acc.grass: 0.8209, Acc.cabinet: 0.7521, Acc.sidewalk: 0.8435, Acc.person: 0.9343, Acc.earth: 0.5809, Acc.door: 0.7685, Acc.table: 0.8122, Acc.mountain: 0.7039, Acc.plant: 0.6695, Acc.curtain: 0.8822, Acc.chair: 0.7581, Acc.car: 0.9339, Acc.water: 0.7658, Acc.painting: 0.9036, Acc.sofa: 0.8900, Acc.shelf: 0.6030, Acc.house: 0.6610, Acc.sea: 0.9023, Acc.mirror: 0.8750, Acc.rug: 0.7317, Acc.field: 0.5088, Acc.armchair: 0.8141, Acc.seat: 0.8907, Acc.fence: 0.6862, Acc.desk: 0.7936, Acc.rock: 0.8295, Acc.wardrobe: 0.7439, Acc.lamp: 0.8395, Acc.bathtub: 0.9035, Acc.railing: 0.5543, Acc.cushion: 0.7922, Acc.base: 0.5292, Acc.box: 0.4907, Acc.column: 0.6082, Acc.signboard: 0.5464, Acc.chest of drawers: 0.7298, Acc.counter: 0.4596, Acc.sand: 0.8661, Acc.sink: 0.8744, Acc.skyscraper: 0.5571, Acc.fireplace: 0.9001, Acc.refrigerator: 0.9270, Acc.grandstand: 0.7718, Acc.path: 0.3464, Acc.stairs: 0.3474, Acc.runway: 0.9231, Acc.case: 0.8051, Acc.pool table: 0.9815, Acc.pillow: 0.7681, Acc.screen door: 0.7713, Acc.stairway: 0.6402, Acc.river: 0.2231, Acc.bridge: 0.8012, Acc.bookcase: 0.5900, Acc.blind: 0.4147, Acc.coffee table: 0.8771, Acc.toilet: 0.9391, Acc.flower: 0.6263, Acc.book: 0.7430, Acc.hill: 0.1127, Acc.bench: 0.6112, Acc.countertop: 0.8356, Acc.stove: 0.9360, Acc.palm: 0.7728, Acc.kitchen island: 0.7841, Acc.computer: 0.8940, Acc.swivel chair: 0.6597, Acc.boat: 0.9106, Acc.bar: 0.8739, Acc.arcade machine: 0.6880, Acc.hovel: 0.1939, Acc.bus: 0.9691, Acc.towel: 0.8662, Acc.light: 0.5544, Acc.truck: 0.6303, Acc.tower: 0.6057, Acc.chandelier: 0.7987, Acc.awning: 0.4682, Acc.streetlight: 0.3580, Acc.booth: 0.7110, Acc.television receiver: 0.8949, Acc.airplane: 0.8817, Acc.dirt track: 0.5289, Acc.apparel: 0.6466, Acc.pole: 0.3010, Acc.land: 0.0640, Acc.bannister: 0.2471, Acc.escalator: 0.8001, Acc.ottoman: 0.6442, Acc.bottle: 0.6688, Acc.buffet: 0.7186, Acc.poster: 0.4015, Acc.stage: 0.3356, Acc.van: 0.7004, Acc.ship: 0.8029, Acc.fountain: 0.3890, Acc.conveyer belt: 0.9324, Acc.canopy: 0.6219, Acc.washer: 0.9140, Acc.plaything: 0.5019, Acc.swimming pool: 0.7454, Acc.stool: 0.6552, Acc.barrel: 0.8883, Acc.basket: 0.5483, Acc.waterfall: 0.5566, Acc.tent: 0.9802, Acc.bag: 0.2935, Acc.minibike: 0.8817, Acc.cradle: 0.9762, Acc.oven: 0.7554, Acc.ball: 0.6319, Acc.food: 0.7085, Acc.step: 0.1397, Acc.tank: 0.6671, Acc.trade name: 0.2859, Acc.microwave: 0.9642, Acc.pot: 0.6780, Acc.animal: 0.7174, Acc.bicycle: 0.7650, Acc.lake: 0.6381, Acc.dishwasher: 0.8374, Acc.screen: 0.8463, Acc.blanket: 0.2943, Acc.sculpture: 0.8860, Acc.hood: 0.7528, Acc.sconce: 0.6995, Acc.vase: 0.6094, Acc.traffic light: 0.5653, Acc.tray: 0.2912, Acc.ashcan: 0.6623, Acc.fan: 0.7358, Acc.pier: 0.4654, Acc.crt screen: 0.1428, Acc.plate: 0.7984, Acc.monitor: 0.2844, Acc.bulletin board: 0.6141, Acc.shower: 0.1986, Acc.radiator: 0.7691, Acc.glass: 0.2071, Acc.clock: 0.6418, Acc.flag: 0.7711 2023-11-03 00:32:59,894 - mmseg - INFO - Iter [61050/80000] lr: 7.675e-07, eta: 7:01:04, time: 2.454, data_time: 1.245, memory: 38534, decode.loss_ce: 0.1462, decode.acc_seg: 93.4405, loss: 0.1462 2023-11-03 00:34:00,692 - mmseg - INFO - Iter [61100/80000] lr: 7.654e-07, eta: 6:59:56, time: 1.216, data_time: 0.008, memory: 38534, decode.loss_ce: 0.1496, decode.acc_seg: 93.4687, loss: 0.1496 2023-11-03 00:35:01,429 - mmseg - INFO - Iter [61150/80000] lr: 7.634e-07, eta: 6:58:47, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1565, decode.acc_seg: 93.2462, loss: 0.1565 2023-11-03 00:36:02,172 - mmseg - INFO - Iter [61200/80000] lr: 7.614e-07, eta: 6:57:39, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1477, decode.acc_seg: 93.6232, loss: 0.1477 2023-11-03 00:37:02,867 - mmseg - INFO - Iter [61250/80000] lr: 7.594e-07, eta: 6:56:31, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1472, decode.acc_seg: 93.5704, loss: 0.1472 2023-11-03 00:38:03,574 - mmseg - INFO - Iter [61300/80000] lr: 7.573e-07, eta: 6:55:22, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1424, decode.acc_seg: 93.7577, loss: 0.1424 2023-11-03 00:39:04,289 - mmseg - INFO - Iter [61350/80000] lr: 7.553e-07, eta: 6:54:14, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1386, decode.acc_seg: 93.8331, loss: 0.1386 2023-11-03 00:40:05,014 - mmseg - INFO - Iter [61400/80000] lr: 7.533e-07, eta: 6:53:05, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1450, decode.acc_seg: 93.7091, loss: 0.1450 2023-11-03 00:41:05,732 - mmseg - INFO - Iter [61450/80000] lr: 7.513e-07, eta: 6:51:57, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1526, decode.acc_seg: 93.5082, loss: 0.1526 2023-11-03 00:42:07,380 - mmseg - INFO - Iter [61500/80000] lr: 7.492e-07, eta: 6:50:49, time: 1.233, data_time: 0.027, memory: 38534, decode.loss_ce: 0.1477, decode.acc_seg: 93.7634, loss: 0.1477 2023-11-03 00:43:08,106 - mmseg - INFO - Iter [61550/80000] lr: 7.472e-07, eta: 6:49:40, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1421, decode.acc_seg: 93.7896, loss: 0.1421 2023-11-03 00:44:08,803 - mmseg - INFO - Iter [61600/80000] lr: 7.452e-07, eta: 6:48:32, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1505, decode.acc_seg: 93.4571, loss: 0.1505 2023-11-03 00:45:09,519 - mmseg - INFO - Iter [61650/80000] lr: 7.432e-07, eta: 6:47:24, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1529, decode.acc_seg: 93.3944, loss: 0.1529 2023-11-03 00:46:10,249 - mmseg - INFO - Iter [61700/80000] lr: 7.411e-07, eta: 6:46:15, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1484, decode.acc_seg: 93.6480, loss: 0.1484 2023-11-03 00:47:10,916 - mmseg - INFO - Iter [61750/80000] lr: 7.391e-07, eta: 6:45:07, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1637, decode.acc_seg: 92.9410, loss: 0.1637 2023-11-03 00:48:11,590 - mmseg - INFO - Iter [61800/80000] lr: 7.371e-07, eta: 6:43:59, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1578, decode.acc_seg: 93.2230, loss: 0.1578 2023-11-03 00:49:12,232 - mmseg - INFO - Iter [61850/80000] lr: 7.351e-07, eta: 6:42:50, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1517, decode.acc_seg: 93.4710, loss: 0.1517 2023-11-03 00:50:15,261 - mmseg - INFO - Iter [61900/80000] lr: 7.330e-07, eta: 6:41:43, time: 1.261, data_time: 0.053, memory: 38534, decode.loss_ce: 0.1483, decode.acc_seg: 93.6601, loss: 0.1483 2023-11-03 00:51:15,914 - mmseg - INFO - Iter [61950/80000] lr: 7.310e-07, eta: 6:40:34, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1480, decode.acc_seg: 93.6581, loss: 0.1480 2023-11-03 00:52:16,571 - mmseg - INFO - Saving checkpoint at 62000 iterations 2023-11-03 00:53:11,270 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-03 00:53:11,270 - mmseg - INFO - Iter [62000/80000] lr: 7.290e-07, eta: 6:39:42, time: 2.307, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1493, decode.acc_seg: 93.5674, loss: 0.1493 2023-11-03 00:54:09,203 - mmseg - INFO - per class results: 2023-11-03 00:54:09,208 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 80.84 | 89.29 | | building | 84.65 | 93.75 | | sky | 94.61 | 97.35 | | floor | 84.3 | 91.72 | | tree | 76.91 | 90.79 | | ceiling | 86.67 | 93.8 | | road | 86.54 | 91.48 | | bed | 91.8 | 96.82 | | windowpane | 66.25 | 81.56 | | grass | 67.92 | 82.34 | | cabinet | 66.08 | 74.17 | | sidewalk | 70.44 | 83.55 | | person | 83.56 | 94.09 | | earth | 41.35 | 53.7 | | door | 60.2 | 73.16 | | table | 70.28 | 82.07 | | mountain | 61.47 | 72.74 | | plant | 53.35 | 66.78 | | curtain | 77.02 | 88.37 | | chair | 62.97 | 75.53 | | car | 87.03 | 93.36 | | water | 59.85 | 74.38 | | painting | 77.98 | 90.03 | | sofa | 81.45 | 89.12 | | shelf | 48.43 | 63.62 | | house | 57.57 | 71.7 | | sea | 69.38 | 87.92 | | mirror | 77.95 | 88.73 | | rug | 64.99 | 74.62 | | field | 31.78 | 54.35 | | armchair | 61.39 | 77.37 | | seat | 62.61 | 88.22 | | fence | 53.22 | 67.45 | | desk | 58.26 | 79.05 | | rock | 54.44 | 80.74 | | wardrobe | 54.45 | 73.33 | | lamp | 70.88 | 82.18 | | bathtub | 88.32 | 92.56 | | railing | 39.25 | 52.59 | | cushion | 65.38 | 78.78 | | base | 39.38 | 50.39 | | box | 40.59 | 48.8 | | column | 52.8 | 64.47 | | signboard | 38.34 | 52.19 | | chest of drawers | 47.4 | 76.7 | | counter | 33.1 | 40.71 | | sand | 59.58 | 85.8 | | sink | 80.55 | 87.54 | | skyscraper | 44.01 | 56.93 | | fireplace | 73.36 | 89.5 | | refrigerator | 86.05 | 95.24 | | grandstand | 54.29 | 79.54 | | path | 27.7 | 38.48 | | stairs | 28.51 | 35.45 | | runway | 72.73 | 93.5 | | case | 56.43 | 81.44 | | pool table | 94.27 | 97.69 | | pillow | 62.89 | 74.01 | | screen door | 77.95 | 79.82 | | stairway | 42.24 | 62.56 | | river | 14.67 | 25.56 | | bridge | 74.3 | 83.0 | | bookcase | 41.58 | 59.12 | | blind | 41.48 | 46.59 | | coffee table | 64.62 | 84.56 | | toilet | 89.96 | 93.57 | | flower | 45.86 | 66.86 | | book | 50.32 | 73.67 | | hill | 8.18 | 12.63 | | bench | 54.4 | 61.75 | | countertop | 63.91 | 83.04 | | stove | 86.23 | 92.67 | | palm | 54.19 | 77.37 | | kitchen island | 52.43 | 82.05 | | computer | 75.82 | 89.2 | | swivel chair | 42.83 | 67.82 | | boat | 78.78 | 90.9 | | bar | 61.63 | 83.57 | | arcade machine | 69.52 | 71.78 | | hovel | 21.5 | 22.66 | | bus | 92.5 | 96.76 | | towel | 75.91 | 85.89 | | light | 51.82 | 63.06 | | truck | 51.4 | 62.75 | | tower | 37.68 | 56.08 | | chandelier | 68.96 | 84.23 | | awning | 35.08 | 41.83 | | streetlight | 28.63 | 38.28 | | booth | 61.45 | 72.58 | | television receiver | 75.38 | 88.48 | | airplane | 85.09 | 91.47 | | dirt track | 14.1 | 54.0 | | apparel | 52.08 | 70.13 | | pole | 21.76 | 30.55 | | land | 4.74 | 6.39 | | bannister | 16.69 | 21.6 | | escalator | 64.18 | 79.29 | | ottoman | 53.91 | 68.72 | | bottle | 43.85 | 69.41 | | buffet | 63.11 | 74.33 | | poster | 34.01 | 40.95 | | stage | 22.0 | 42.07 | | van | 52.74 | 70.88 | | ship | 75.13 | 77.29 | | fountain | 40.08 | 40.34 | | conveyer belt | 77.37 | 94.49 | | canopy | 46.65 | 61.17 | | washer | 88.26 | 93.28 | | plaything | 33.7 | 49.54 | | swimming pool | 58.13 | 82.81 | | stool | 50.35 | 63.6 | | barrel | 55.37 | 87.72 | | basket | 44.24 | 57.8 | | waterfall | 47.68 | 57.38 | | tent | 96.13 | 97.98 | | bag | 24.85 | 27.4 | | minibike | 74.45 | 87.54 | | cradle | 85.86 | 97.52 | | oven | 61.94 | 74.21 | | ball | 54.31 | 57.35 | | food | 61.58 | 73.26 | | step | 16.33 | 19.39 | | tank | 62.34 | 67.49 | | trade name | 23.8 | 26.08 | | microwave | 90.83 | 95.75 | | pot | 58.33 | 66.21 | | animal | 71.01 | 73.31 | | bicycle | 60.74 | 80.98 | | lake | 53.5 | 63.73 | | dishwasher | 76.22 | 82.39 | | screen | 62.68 | 90.9 | | blanket | 24.76 | 29.21 | | sculpture | 76.0 | 88.69 | | hood | 63.09 | 74.51 | | sconce | 57.19 | 73.73 | | vase | 47.01 | 64.61 | | traffic light | 36.71 | 55.37 | | tray | 22.34 | 27.76 | | ashcan | 50.47 | 63.45 | | fan | 64.51 | 79.57 | | pier | 39.66 | 45.64 | | crt screen | 5.63 | 12.59 | | plate | 60.96 | 79.35 | | monitor | 26.42 | 30.42 | | bulletin board | 56.04 | 65.89 | | shower | 11.42 | 20.02 | | radiator | 63.92 | 76.79 | | glass | 19.52 | 20.99 | | clock | 48.32 | 64.7 | | flag | 68.06 | 73.77 | +---------------------+-------+-------+ 2023-11-03 00:54:09,208 - mmseg - INFO - Summary: 2023-11-03 00:54:09,208 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 85.79 | 56.91 | 69.31 | +-------+-------+-------+ 2023-11-03 00:54:09,209 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-03 00:54:09,209 - mmseg - INFO - Iter(val) [250] aAcc: 0.8579, mIoU: 0.5691, mAcc: 0.6931, IoU.wall: 0.8084, IoU.building: 0.8465, IoU.sky: 0.9461, IoU.floor: 0.8430, IoU.tree: 0.7691, IoU.ceiling: 0.8667, IoU.road: 0.8654, IoU.bed : 0.9180, IoU.windowpane: 0.6625, IoU.grass: 0.6792, IoU.cabinet: 0.6608, IoU.sidewalk: 0.7044, IoU.person: 0.8356, IoU.earth: 0.4135, IoU.door: 0.6020, IoU.table: 0.7028, IoU.mountain: 0.6147, IoU.plant: 0.5335, IoU.curtain: 0.7702, IoU.chair: 0.6297, IoU.car: 0.8703, IoU.water: 0.5985, IoU.painting: 0.7798, IoU.sofa: 0.8145, IoU.shelf: 0.4843, IoU.house: 0.5757, IoU.sea: 0.6938, IoU.mirror: 0.7795, IoU.rug: 0.6499, IoU.field: 0.3178, IoU.armchair: 0.6139, IoU.seat: 0.6261, IoU.fence: 0.5322, IoU.desk: 0.5826, IoU.rock: 0.5444, IoU.wardrobe: 0.5445, IoU.lamp: 0.7088, IoU.bathtub: 0.8832, IoU.railing: 0.3925, IoU.cushion: 0.6538, IoU.base: 0.3938, IoU.box: 0.4059, IoU.column: 0.5280, IoU.signboard: 0.3834, IoU.chest of drawers: 0.4740, IoU.counter: 0.3310, IoU.sand: 0.5958, IoU.sink: 0.8055, IoU.skyscraper: 0.4401, IoU.fireplace: 0.7336, IoU.refrigerator: 0.8605, IoU.grandstand: 0.5429, IoU.path: 0.2770, IoU.stairs: 0.2851, IoU.runway: 0.7273, IoU.case: 0.5643, IoU.pool table: 0.9427, IoU.pillow: 0.6289, IoU.screen door: 0.7795, IoU.stairway: 0.4224, IoU.river: 0.1467, IoU.bridge: 0.7430, IoU.bookcase: 0.4158, IoU.blind: 0.4148, IoU.coffee table: 0.6462, IoU.toilet: 0.8996, IoU.flower: 0.4586, IoU.book: 0.5032, IoU.hill: 0.0818, IoU.bench: 0.5440, IoU.countertop: 0.6391, IoU.stove: 0.8623, IoU.palm: 0.5419, IoU.kitchen island: 0.5243, IoU.computer: 0.7582, IoU.swivel chair: 0.4283, IoU.boat: 0.7878, IoU.bar: 0.6163, IoU.arcade machine: 0.6952, IoU.hovel: 0.2150, IoU.bus: 0.9250, IoU.towel: 0.7591, IoU.light: 0.5182, IoU.truck: 0.5140, IoU.tower: 0.3768, IoU.chandelier: 0.6896, IoU.awning: 0.3508, IoU.streetlight: 0.2863, IoU.booth: 0.6145, IoU.television receiver: 0.7538, IoU.airplane: 0.8509, IoU.dirt track: 0.1410, IoU.apparel: 0.5208, IoU.pole: 0.2176, IoU.land: 0.0474, IoU.bannister: 0.1669, IoU.escalator: 0.6418, IoU.ottoman: 0.5391, IoU.bottle: 0.4385, IoU.buffet: 0.6311, IoU.poster: 0.3401, IoU.stage: 0.2200, IoU.van: 0.5274, IoU.ship: 0.7513, IoU.fountain: 0.4008, IoU.conveyer belt: 0.7737, IoU.canopy: 0.4665, IoU.washer: 0.8826, IoU.plaything: 0.3370, IoU.swimming pool: 0.5813, IoU.stool: 0.5035, IoU.barrel: 0.5537, IoU.basket: 0.4424, IoU.waterfall: 0.4768, IoU.tent: 0.9613, IoU.bag: 0.2485, IoU.minibike: 0.7445, IoU.cradle: 0.8586, IoU.oven: 0.6194, IoU.ball: 0.5431, IoU.food: 0.6158, IoU.step: 0.1633, IoU.tank: 0.6234, IoU.trade name: 0.2380, IoU.microwave: 0.9083, IoU.pot: 0.5833, IoU.animal: 0.7101, IoU.bicycle: 0.6074, IoU.lake: 0.5350, IoU.dishwasher: 0.7622, IoU.screen: 0.6268, IoU.blanket: 0.2476, IoU.sculpture: 0.7600, IoU.hood: 0.6309, IoU.sconce: 0.5719, IoU.vase: 0.4701, IoU.traffic light: 0.3671, IoU.tray: 0.2234, IoU.ashcan: 0.5047, IoU.fan: 0.6451, IoU.pier: 0.3966, IoU.crt screen: 0.0563, IoU.plate: 0.6096, IoU.monitor: 0.2642, IoU.bulletin board: 0.5604, IoU.shower: 0.1142, IoU.radiator: 0.6392, IoU.glass: 0.1952, IoU.clock: 0.4832, IoU.flag: 0.6806, Acc.wall: 0.8929, Acc.building: 0.9375, Acc.sky: 0.9735, Acc.floor: 0.9172, Acc.tree: 0.9079, Acc.ceiling: 0.9380, Acc.road: 0.9148, Acc.bed : 0.9682, Acc.windowpane: 0.8156, Acc.grass: 0.8234, Acc.cabinet: 0.7417, Acc.sidewalk: 0.8355, Acc.person: 0.9409, Acc.earth: 0.5370, Acc.door: 0.7316, Acc.table: 0.8207, Acc.mountain: 0.7274, Acc.plant: 0.6678, Acc.curtain: 0.8837, Acc.chair: 0.7553, Acc.car: 0.9336, Acc.water: 0.7438, Acc.painting: 0.9003, Acc.sofa: 0.8912, Acc.shelf: 0.6362, Acc.house: 0.7170, Acc.sea: 0.8792, Acc.mirror: 0.8873, Acc.rug: 0.7462, Acc.field: 0.5435, Acc.armchair: 0.7737, Acc.seat: 0.8822, Acc.fence: 0.6745, Acc.desk: 0.7905, Acc.rock: 0.8074, Acc.wardrobe: 0.7333, Acc.lamp: 0.8218, Acc.bathtub: 0.9256, Acc.railing: 0.5259, Acc.cushion: 0.7878, Acc.base: 0.5039, Acc.box: 0.4880, Acc.column: 0.6447, Acc.signboard: 0.5219, Acc.chest of drawers: 0.7670, Acc.counter: 0.4071, Acc.sand: 0.8580, Acc.sink: 0.8754, Acc.skyscraper: 0.5693, Acc.fireplace: 0.8950, Acc.refrigerator: 0.9524, Acc.grandstand: 0.7954, Acc.path: 0.3848, Acc.stairs: 0.3545, Acc.runway: 0.9350, Acc.case: 0.8144, Acc.pool table: 0.9769, Acc.pillow: 0.7401, Acc.screen door: 0.7982, Acc.stairway: 0.6256, Acc.river: 0.2556, Acc.bridge: 0.8300, Acc.bookcase: 0.5912, Acc.blind: 0.4659, Acc.coffee table: 0.8456, Acc.toilet: 0.9357, Acc.flower: 0.6686, Acc.book: 0.7367, Acc.hill: 0.1263, Acc.bench: 0.6175, Acc.countertop: 0.8304, Acc.stove: 0.9267, Acc.palm: 0.7737, Acc.kitchen island: 0.8205, Acc.computer: 0.8920, Acc.swivel chair: 0.6782, Acc.boat: 0.9090, Acc.bar: 0.8357, Acc.arcade machine: 0.7178, Acc.hovel: 0.2266, Acc.bus: 0.9676, Acc.towel: 0.8589, Acc.light: 0.6306, Acc.truck: 0.6275, Acc.tower: 0.5608, Acc.chandelier: 0.8423, Acc.awning: 0.4183, Acc.streetlight: 0.3828, Acc.booth: 0.7258, Acc.television receiver: 0.8848, Acc.airplane: 0.9147, Acc.dirt track: 0.5400, Acc.apparel: 0.7013, Acc.pole: 0.3055, Acc.land: 0.0639, Acc.bannister: 0.2160, Acc.escalator: 0.7929, Acc.ottoman: 0.6872, Acc.bottle: 0.6941, Acc.buffet: 0.7433, Acc.poster: 0.4095, Acc.stage: 0.4207, Acc.van: 0.7088, Acc.ship: 0.7729, Acc.fountain: 0.4034, Acc.conveyer belt: 0.9449, Acc.canopy: 0.6117, Acc.washer: 0.9328, Acc.plaything: 0.4954, Acc.swimming pool: 0.8281, Acc.stool: 0.6360, Acc.barrel: 0.8772, Acc.basket: 0.5780, Acc.waterfall: 0.5738, Acc.tent: 0.9798, Acc.bag: 0.2740, Acc.minibike: 0.8754, Acc.cradle: 0.9752, Acc.oven: 0.7421, Acc.ball: 0.5735, Acc.food: 0.7326, Acc.step: 0.1939, Acc.tank: 0.6749, Acc.trade name: 0.2608, Acc.microwave: 0.9575, Acc.pot: 0.6621, Acc.animal: 0.7331, Acc.bicycle: 0.8098, Acc.lake: 0.6373, Acc.dishwasher: 0.8239, Acc.screen: 0.9090, Acc.blanket: 0.2921, Acc.sculpture: 0.8869, Acc.hood: 0.7451, Acc.sconce: 0.7373, Acc.vase: 0.6461, Acc.traffic light: 0.5537, Acc.tray: 0.2776, Acc.ashcan: 0.6345, Acc.fan: 0.7957, Acc.pier: 0.4564, Acc.crt screen: 0.1259, Acc.plate: 0.7935, Acc.monitor: 0.3042, Acc.bulletin board: 0.6589, Acc.shower: 0.2002, Acc.radiator: 0.7679, Acc.glass: 0.2099, Acc.clock: 0.6470, Acc.flag: 0.7377 2023-11-03 00:55:09,997 - mmseg - INFO - Iter [62050/80000] lr: 7.270e-07, eta: 6:38:50, time: 2.375, data_time: 1.166, memory: 38534, decode.loss_ce: 0.1493, decode.acc_seg: 93.6055, loss: 0.1493 2023-11-03 00:56:10,741 - mmseg - INFO - Iter [62100/80000] lr: 7.249e-07, eta: 6:37:42, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1548, decode.acc_seg: 93.2997, loss: 0.1548 2023-11-03 00:57:11,488 - mmseg - INFO - Iter [62150/80000] lr: 7.229e-07, eta: 6:36:34, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1448, decode.acc_seg: 93.8067, loss: 0.1448 2023-11-03 00:58:12,127 - mmseg - INFO - Iter [62200/80000] lr: 7.209e-07, eta: 6:35:25, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1437, decode.acc_seg: 93.6925, loss: 0.1437 2023-11-03 00:59:12,825 - mmseg - INFO - Iter [62250/80000] lr: 7.189e-07, eta: 6:34:17, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1515, decode.acc_seg: 93.4838, loss: 0.1515 2023-11-03 01:00:13,560 - mmseg - INFO - Iter [62300/80000] lr: 7.168e-07, eta: 6:33:09, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1491, decode.acc_seg: 93.3612, loss: 0.1491 2023-11-03 01:01:14,255 - mmseg - INFO - Iter [62350/80000] lr: 7.148e-07, eta: 6:32:00, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1510, decode.acc_seg: 93.5820, loss: 0.1510 2023-11-03 01:02:14,930 - mmseg - INFO - Iter [62400/80000] lr: 7.128e-07, eta: 6:30:52, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1461, decode.acc_seg: 93.5849, loss: 0.1461 2023-11-03 01:03:15,627 - mmseg - INFO - Iter [62450/80000] lr: 7.108e-07, eta: 6:29:44, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1455, decode.acc_seg: 93.6632, loss: 0.1455 2023-11-03 01:04:16,320 - mmseg - INFO - Iter [62500/80000] lr: 7.087e-07, eta: 6:28:35, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1372, decode.acc_seg: 94.0313, loss: 0.1372 2023-11-03 01:05:17,015 - mmseg - INFO - Iter [62550/80000] lr: 7.067e-07, eta: 6:27:27, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1444, decode.acc_seg: 93.5608, loss: 0.1444 2023-11-03 01:06:17,838 - mmseg - INFO - Iter [62600/80000] lr: 7.047e-07, eta: 6:26:19, time: 1.216, data_time: 0.010, memory: 38534, decode.loss_ce: 0.1520, decode.acc_seg: 93.5765, loss: 0.1520 2023-11-03 01:07:18,576 - mmseg - INFO - Iter [62650/80000] lr: 7.027e-07, eta: 6:25:11, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1499, decode.acc_seg: 93.3934, loss: 0.1499 2023-11-03 01:08:19,285 - mmseg - INFO - Iter [62700/80000] lr: 7.006e-07, eta: 6:24:02, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1520, decode.acc_seg: 93.3240, loss: 0.1520 2023-11-03 01:09:19,938 - mmseg - INFO - Iter [62750/80000] lr: 6.986e-07, eta: 6:22:54, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1513, decode.acc_seg: 93.1333, loss: 0.1513 2023-11-03 01:10:20,668 - mmseg - INFO - Iter [62800/80000] lr: 6.966e-07, eta: 6:21:46, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1496, decode.acc_seg: 93.4208, loss: 0.1496 2023-11-03 01:11:21,357 - mmseg - INFO - Iter [62850/80000] lr: 6.946e-07, eta: 6:20:38, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1418, decode.acc_seg: 93.7157, loss: 0.1418 2023-11-03 01:12:21,996 - mmseg - INFO - Iter [62900/80000] lr: 6.925e-07, eta: 6:19:30, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1447, decode.acc_seg: 93.6981, loss: 0.1447 2023-11-03 01:13:22,744 - mmseg - INFO - Iter [62950/80000] lr: 6.905e-07, eta: 6:18:21, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1442, decode.acc_seg: 93.7459, loss: 0.1442 2023-11-03 01:14:23,425 - mmseg - INFO - Saving checkpoint at 63000 iterations 2023-11-03 01:15:17,860 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-03 01:15:17,860 - mmseg - INFO - Iter [63000/80000] lr: 6.885e-07, eta: 6:17:28, time: 2.302, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1514, decode.acc_seg: 93.4059, loss: 0.1514 2023-11-03 01:16:20,402 - mmseg - INFO - per class results: 2023-11-03 01:16:20,407 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 81.04 | 89.26 | | building | 84.83 | 93.49 | | sky | 94.56 | 97.72 | | floor | 84.49 | 91.93 | | tree | 76.86 | 89.72 | | ceiling | 87.04 | 94.38 | | road | 86.21 | 90.02 | | bed | 92.32 | 97.06 | | windowpane | 66.7 | 81.4 | | grass | 68.43 | 83.81 | | cabinet | 66.39 | 75.93 | | sidewalk | 69.41 | 85.65 | | person | 83.64 | 92.51 | | earth | 42.64 | 55.47 | | door | 61.25 | 76.84 | | table | 70.3 | 81.66 | | mountain | 62.24 | 73.11 | | plant | 54.65 | 66.99 | | curtain | 77.72 | 89.17 | | chair | 63.2 | 75.33 | | car | 86.78 | 93.14 | | water | 58.58 | 72.58 | | painting | 78.41 | 90.07 | | sofa | 82.52 | 90.49 | | shelf | 48.68 | 66.37 | | house | 57.87 | 76.21 | | sea | 68.57 | 90.33 | | mirror | 76.97 | 86.29 | | rug | 66.03 | 77.24 | | field | 31.89 | 52.36 | | armchair | 62.78 | 77.26 | | seat | 63.93 | 88.24 | | fence | 50.85 | 62.45 | | desk | 58.53 | 77.33 | | rock | 54.93 | 83.33 | | wardrobe | 54.24 | 73.88 | | lamp | 71.16 | 82.62 | | bathtub | 88.23 | 91.18 | | railing | 40.08 | 55.91 | | cushion | 66.15 | 80.91 | | base | 40.74 | 55.0 | | box | 39.43 | 46.2 | | column | 51.9 | 63.8 | | signboard | 38.51 | 49.75 | | chest of drawers | 48.29 | 75.43 | | counter | 46.98 | 63.91 | | sand | 59.87 | 85.98 | | sink | 81.87 | 88.6 | | skyscraper | 47.85 | 62.0 | | fireplace | 73.92 | 90.18 | | refrigerator | 87.56 | 92.7 | | grandstand | 50.88 | 82.74 | | path | 30.44 | 41.46 | | stairs | 29.72 | 36.23 | | runway | 73.49 | 94.19 | | case | 57.43 | 75.5 | | pool table | 94.36 | 97.58 | | pillow | 64.2 | 75.54 | | screen door | 78.15 | 79.54 | | stairway | 46.64 | 63.09 | | river | 14.76 | 23.4 | | bridge | 76.66 | 85.18 | | bookcase | 42.13 | 60.22 | | blind | 41.76 | 45.35 | | coffee table | 62.68 | 83.79 | | toilet | 90.0 | 93.71 | | flower | 42.44 | 58.12 | | book | 50.48 | 73.02 | | hill | 10.22 | 16.41 | | bench | 55.09 | 61.2 | | countertop | 64.67 | 82.87 | | stove | 86.54 | 92.62 | | palm | 53.64 | 78.16 | | kitchen island | 51.47 | 77.47 | | computer | 75.93 | 89.31 | | swivel chair | 44.27 | 66.53 | | boat | 77.54 | 91.39 | | bar | 64.29 | 78.16 | | arcade machine | 69.47 | 71.64 | | hovel | 32.71 | 35.76 | | bus | 92.49 | 97.06 | | towel | 76.9 | 85.87 | | light | 51.05 | 62.68 | | truck | 53.24 | 67.62 | | tower | 41.26 | 65.69 | | chandelier | 69.32 | 82.86 | | awning | 34.75 | 41.48 | | streetlight | 26.0 | 33.24 | | booth | 61.03 | 70.87 | | television receiver | 75.47 | 89.42 | | airplane | 85.49 | 90.98 | | dirt track | 15.58 | 53.24 | | apparel | 46.76 | 62.41 | | pole | 22.12 | 33.07 | | land | 5.56 | 8.07 | | bannister | 17.31 | 23.45 | | escalator | 58.26 | 71.95 | | ottoman | 53.09 | 68.57 | | bottle | 43.67 | 65.37 | | buffet | 62.19 | 72.45 | | poster | 38.17 | 46.75 | | stage | 18.24 | 29.78 | | van | 53.01 | 68.4 | | ship | 76.72 | 81.02 | | fountain | 40.81 | 41.1 | | conveyer belt | 77.96 | 94.38 | | canopy | 52.22 | 66.59 | | washer | 86.02 | 91.09 | | plaything | 34.56 | 51.33 | | swimming pool | 58.77 | 84.78 | | stool | 51.46 | 63.98 | | barrel | 58.98 | 85.85 | | basket | 45.69 | 58.71 | | waterfall | 49.1 | 58.58 | | tent | 96.27 | 97.91 | | bag | 26.89 | 29.48 | | minibike | 73.53 | 86.28 | | cradle | 84.69 | 98.03 | | oven | 65.99 | 76.27 | | ball | 62.13 | 68.2 | | food | 61.82 | 71.32 | | step | 12.81 | 15.43 | | tank | 62.5 | 66.88 | | trade name | 26.52 | 29.63 | | microwave | 90.98 | 95.53 | | pot | 57.51 | 64.36 | | animal | 69.79 | 71.95 | | bicycle | 59.83 | 74.63 | | lake | 53.73 | 64.5 | | dishwasher | 75.38 | 81.87 | | screen | 55.03 | 78.06 | | blanket | 28.58 | 33.8 | | sculpture | 76.34 | 87.75 | | hood | 62.85 | 73.9 | | sconce | 56.31 | 71.5 | | vase | 47.4 | 64.15 | | traffic light | 36.41 | 54.18 | | tray | 22.57 | 27.57 | | ashcan | 51.36 | 63.29 | | fan | 63.35 | 75.7 | | pier | 40.72 | 45.38 | | crt screen | 6.82 | 17.98 | | plate | 61.63 | 76.46 | | monitor | 23.94 | 27.42 | | bulletin board | 59.47 | 70.82 | | shower | 10.18 | 19.36 | | radiator | 64.59 | 78.59 | | glass | 19.99 | 22.07 | | clock | 48.76 | 62.77 | | flag | 68.41 | 74.18 | +---------------------+-------+-------+ 2023-11-03 01:16:20,407 - mmseg - INFO - Summary: 2023-11-03 01:16:20,408 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 85.95 | 57.39 | 69.46 | +-------+-------+-------+ 2023-11-03 01:16:20,408 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-03 01:16:20,409 - mmseg - INFO - Iter(val) [250] aAcc: 0.8595, mIoU: 0.5739, mAcc: 0.6946, IoU.wall: 0.8104, IoU.building: 0.8483, IoU.sky: 0.9456, IoU.floor: 0.8449, IoU.tree: 0.7686, IoU.ceiling: 0.8704, IoU.road: 0.8621, IoU.bed : 0.9232, IoU.windowpane: 0.6670, IoU.grass: 0.6843, IoU.cabinet: 0.6639, IoU.sidewalk: 0.6941, IoU.person: 0.8364, IoU.earth: 0.4264, IoU.door: 0.6125, IoU.table: 0.7030, IoU.mountain: 0.6224, IoU.plant: 0.5465, IoU.curtain: 0.7772, IoU.chair: 0.6320, IoU.car: 0.8678, IoU.water: 0.5858, IoU.painting: 0.7841, IoU.sofa: 0.8252, IoU.shelf: 0.4868, IoU.house: 0.5787, IoU.sea: 0.6857, IoU.mirror: 0.7697, IoU.rug: 0.6603, IoU.field: 0.3189, IoU.armchair: 0.6278, IoU.seat: 0.6393, IoU.fence: 0.5085, IoU.desk: 0.5853, IoU.rock: 0.5493, IoU.wardrobe: 0.5424, IoU.lamp: 0.7116, IoU.bathtub: 0.8823, IoU.railing: 0.4008, IoU.cushion: 0.6615, IoU.base: 0.4074, IoU.box: 0.3943, IoU.column: 0.5190, IoU.signboard: 0.3851, IoU.chest of drawers: 0.4829, IoU.counter: 0.4698, IoU.sand: 0.5987, IoU.sink: 0.8187, IoU.skyscraper: 0.4785, IoU.fireplace: 0.7392, IoU.refrigerator: 0.8756, IoU.grandstand: 0.5088, IoU.path: 0.3044, IoU.stairs: 0.2972, IoU.runway: 0.7349, IoU.case: 0.5743, IoU.pool table: 0.9436, IoU.pillow: 0.6420, IoU.screen door: 0.7815, IoU.stairway: 0.4664, IoU.river: 0.1476, IoU.bridge: 0.7666, IoU.bookcase: 0.4213, IoU.blind: 0.4176, IoU.coffee table: 0.6268, IoU.toilet: 0.9000, IoU.flower: 0.4244, IoU.book: 0.5048, IoU.hill: 0.1022, IoU.bench: 0.5509, IoU.countertop: 0.6467, IoU.stove: 0.8654, IoU.palm: 0.5364, IoU.kitchen island: 0.5147, IoU.computer: 0.7593, IoU.swivel chair: 0.4427, IoU.boat: 0.7754, IoU.bar: 0.6429, IoU.arcade machine: 0.6947, IoU.hovel: 0.3271, IoU.bus: 0.9249, IoU.towel: 0.7690, IoU.light: 0.5105, IoU.truck: 0.5324, IoU.tower: 0.4126, IoU.chandelier: 0.6932, IoU.awning: 0.3475, IoU.streetlight: 0.2600, IoU.booth: 0.6103, IoU.television receiver: 0.7547, IoU.airplane: 0.8549, IoU.dirt track: 0.1558, IoU.apparel: 0.4676, IoU.pole: 0.2212, IoU.land: 0.0556, IoU.bannister: 0.1731, IoU.escalator: 0.5826, IoU.ottoman: 0.5309, IoU.bottle: 0.4367, IoU.buffet: 0.6219, IoU.poster: 0.3817, IoU.stage: 0.1824, IoU.van: 0.5301, IoU.ship: 0.7672, IoU.fountain: 0.4081, IoU.conveyer belt: 0.7796, IoU.canopy: 0.5222, IoU.washer: 0.8602, IoU.plaything: 0.3456, IoU.swimming pool: 0.5877, IoU.stool: 0.5146, IoU.barrel: 0.5898, IoU.basket: 0.4569, IoU.waterfall: 0.4910, IoU.tent: 0.9627, IoU.bag: 0.2689, IoU.minibike: 0.7353, IoU.cradle: 0.8469, IoU.oven: 0.6599, IoU.ball: 0.6213, IoU.food: 0.6182, IoU.step: 0.1281, IoU.tank: 0.6250, IoU.trade name: 0.2652, IoU.microwave: 0.9098, IoU.pot: 0.5751, IoU.animal: 0.6979, IoU.bicycle: 0.5983, IoU.lake: 0.5373, IoU.dishwasher: 0.7538, IoU.screen: 0.5503, IoU.blanket: 0.2858, IoU.sculpture: 0.7634, IoU.hood: 0.6285, IoU.sconce: 0.5631, IoU.vase: 0.4740, IoU.traffic light: 0.3641, IoU.tray: 0.2257, IoU.ashcan: 0.5136, IoU.fan: 0.6335, IoU.pier: 0.4072, IoU.crt screen: 0.0682, IoU.plate: 0.6163, IoU.monitor: 0.2394, IoU.bulletin board: 0.5947, IoU.shower: 0.1018, IoU.radiator: 0.6459, IoU.glass: 0.1999, IoU.clock: 0.4876, IoU.flag: 0.6841, Acc.wall: 0.8926, Acc.building: 0.9349, Acc.sky: 0.9772, Acc.floor: 0.9193, Acc.tree: 0.8972, Acc.ceiling: 0.9438, Acc.road: 0.9002, Acc.bed : 0.9706, Acc.windowpane: 0.8140, Acc.grass: 0.8381, Acc.cabinet: 0.7593, Acc.sidewalk: 0.8565, Acc.person: 0.9251, Acc.earth: 0.5547, Acc.door: 0.7684, Acc.table: 0.8166, Acc.mountain: 0.7311, Acc.plant: 0.6699, Acc.curtain: 0.8917, Acc.chair: 0.7533, Acc.car: 0.9314, Acc.water: 0.7258, Acc.painting: 0.9007, Acc.sofa: 0.9049, Acc.shelf: 0.6637, Acc.house: 0.7621, Acc.sea: 0.9033, Acc.mirror: 0.8629, Acc.rug: 0.7724, Acc.field: 0.5236, Acc.armchair: 0.7726, Acc.seat: 0.8824, Acc.fence: 0.6245, Acc.desk: 0.7733, Acc.rock: 0.8333, Acc.wardrobe: 0.7388, Acc.lamp: 0.8262, Acc.bathtub: 0.9118, Acc.railing: 0.5591, Acc.cushion: 0.8091, Acc.base: 0.5500, Acc.box: 0.4620, Acc.column: 0.6380, Acc.signboard: 0.4975, Acc.chest of drawers: 0.7543, Acc.counter: 0.6391, Acc.sand: 0.8598, Acc.sink: 0.8860, Acc.skyscraper: 0.6200, Acc.fireplace: 0.9018, Acc.refrigerator: 0.9270, Acc.grandstand: 0.8274, Acc.path: 0.4146, Acc.stairs: 0.3623, Acc.runway: 0.9419, Acc.case: 0.7550, Acc.pool table: 0.9758, Acc.pillow: 0.7554, Acc.screen door: 0.7954, Acc.stairway: 0.6309, Acc.river: 0.2340, Acc.bridge: 0.8518, Acc.bookcase: 0.6022, Acc.blind: 0.4535, Acc.coffee table: 0.8379, Acc.toilet: 0.9371, Acc.flower: 0.5812, Acc.book: 0.7302, Acc.hill: 0.1641, Acc.bench: 0.6120, Acc.countertop: 0.8287, Acc.stove: 0.9262, Acc.palm: 0.7816, Acc.kitchen island: 0.7747, Acc.computer: 0.8931, Acc.swivel chair: 0.6653, Acc.boat: 0.9139, Acc.bar: 0.7816, Acc.arcade machine: 0.7164, Acc.hovel: 0.3576, Acc.bus: 0.9706, Acc.towel: 0.8587, Acc.light: 0.6268, Acc.truck: 0.6762, Acc.tower: 0.6569, Acc.chandelier: 0.8286, Acc.awning: 0.4148, Acc.streetlight: 0.3324, Acc.booth: 0.7087, Acc.television receiver: 0.8942, Acc.airplane: 0.9098, Acc.dirt track: 0.5324, Acc.apparel: 0.6241, Acc.pole: 0.3307, Acc.land: 0.0807, Acc.bannister: 0.2345, Acc.escalator: 0.7195, Acc.ottoman: 0.6857, Acc.bottle: 0.6537, Acc.buffet: 0.7245, Acc.poster: 0.4675, Acc.stage: 0.2978, Acc.van: 0.6840, Acc.ship: 0.8102, Acc.fountain: 0.4110, Acc.conveyer belt: 0.9438, Acc.canopy: 0.6659, Acc.washer: 0.9109, Acc.plaything: 0.5133, Acc.swimming pool: 0.8478, Acc.stool: 0.6398, Acc.barrel: 0.8585, Acc.basket: 0.5871, Acc.waterfall: 0.5858, Acc.tent: 0.9791, Acc.bag: 0.2948, Acc.minibike: 0.8628, Acc.cradle: 0.9803, Acc.oven: 0.7627, Acc.ball: 0.6820, Acc.food: 0.7132, Acc.step: 0.1543, Acc.tank: 0.6688, Acc.trade name: 0.2963, Acc.microwave: 0.9553, Acc.pot: 0.6436, Acc.animal: 0.7195, Acc.bicycle: 0.7463, Acc.lake: 0.6450, Acc.dishwasher: 0.8187, Acc.screen: 0.7806, Acc.blanket: 0.3380, Acc.sculpture: 0.8775, Acc.hood: 0.7390, Acc.sconce: 0.7150, Acc.vase: 0.6415, Acc.traffic light: 0.5418, Acc.tray: 0.2757, Acc.ashcan: 0.6329, Acc.fan: 0.7570, Acc.pier: 0.4538, Acc.crt screen: 0.1798, Acc.plate: 0.7646, Acc.monitor: 0.2742, Acc.bulletin board: 0.7082, Acc.shower: 0.1936, Acc.radiator: 0.7859, Acc.glass: 0.2207, Acc.clock: 0.6277, Acc.flag: 0.7418 2023-11-03 01:17:21,219 - mmseg - INFO - Iter [63050/80000] lr: 6.865e-07, eta: 6:16:37, time: 2.467, data_time: 1.258, memory: 38534, decode.loss_ce: 0.1440, decode.acc_seg: 93.5843, loss: 0.1440 2023-11-03 01:18:21,914 - mmseg - INFO - Iter [63100/80000] lr: 6.844e-07, eta: 6:15:28, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1513, decode.acc_seg: 93.4943, loss: 0.1513 2023-11-03 01:19:22,573 - mmseg - INFO - Iter [63150/80000] lr: 6.824e-07, eta: 6:14:20, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1421, decode.acc_seg: 93.9348, loss: 0.1421 2023-11-03 01:20:25,647 - mmseg - INFO - Iter [63200/80000] lr: 6.804e-07, eta: 6:13:12, time: 1.261, data_time: 0.053, memory: 38534, decode.loss_ce: 0.1425, decode.acc_seg: 93.8185, loss: 0.1425 2023-11-03 01:21:26,297 - mmseg - INFO - Iter [63250/80000] lr: 6.784e-07, eta: 6:12:04, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1530, decode.acc_seg: 93.3435, loss: 0.1530 2023-11-03 01:22:27,026 - mmseg - INFO - Iter [63300/80000] lr: 6.763e-07, eta: 6:10:56, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1466, decode.acc_seg: 93.7426, loss: 0.1466 2023-11-03 01:23:27,746 - mmseg - INFO - Iter [63350/80000] lr: 6.743e-07, eta: 6:09:48, time: 1.214, data_time: 0.008, memory: 38534, decode.loss_ce: 0.1542, decode.acc_seg: 93.5422, loss: 0.1542 2023-11-03 01:24:28,419 - mmseg - INFO - Iter [63400/80000] lr: 6.723e-07, eta: 6:08:40, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1468, decode.acc_seg: 93.6176, loss: 0.1468 2023-11-03 01:25:29,167 - mmseg - INFO - Iter [63450/80000] lr: 6.703e-07, eta: 6:07:31, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1365, decode.acc_seg: 94.1216, loss: 0.1365 2023-11-03 01:26:29,910 - mmseg - INFO - Iter [63500/80000] lr: 6.682e-07, eta: 6:06:23, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1396, decode.acc_seg: 93.8892, loss: 0.1396 2023-11-03 01:27:30,677 - mmseg - INFO - Iter [63550/80000] lr: 6.662e-07, eta: 6:05:15, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1489, decode.acc_seg: 93.5729, loss: 0.1489 2023-11-03 01:28:31,417 - mmseg - INFO - Iter [63600/80000] lr: 6.642e-07, eta: 6:04:07, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1446, decode.acc_seg: 93.9065, loss: 0.1446 2023-11-03 01:29:32,142 - mmseg - INFO - Iter [63650/80000] lr: 6.622e-07, eta: 6:02:59, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1407, decode.acc_seg: 93.7125, loss: 0.1407 2023-11-03 01:30:32,811 - mmseg - INFO - Iter [63700/80000] lr: 6.601e-07, eta: 6:01:51, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1519, decode.acc_seg: 93.4449, loss: 0.1519 2023-11-03 01:31:33,536 - mmseg - INFO - Iter [63750/80000] lr: 6.581e-07, eta: 6:00:43, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1503, decode.acc_seg: 93.5441, loss: 0.1503 2023-11-03 01:32:34,264 - mmseg - INFO - Iter [63800/80000] lr: 6.561e-07, eta: 5:59:35, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1482, decode.acc_seg: 93.6077, loss: 0.1482 2023-11-03 01:33:34,936 - mmseg - INFO - Iter [63850/80000] lr: 6.541e-07, eta: 5:58:27, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1410, decode.acc_seg: 93.8866, loss: 0.1410 2023-11-03 01:34:35,624 - mmseg - INFO - Iter [63900/80000] lr: 6.520e-07, eta: 5:57:18, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1540, decode.acc_seg: 93.4641, loss: 0.1540 2023-11-03 01:35:36,388 - mmseg - INFO - Iter [63950/80000] lr: 6.500e-07, eta: 5:56:10, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1487, decode.acc_seg: 93.5806, loss: 0.1487 2023-11-03 01:36:37,125 - mmseg - INFO - Saving checkpoint at 64000 iterations 2023-11-03 01:37:35,743 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-03 01:37:35,743 - mmseg - INFO - Iter [64000/80000] lr: 6.480e-07, eta: 5:55:17, time: 2.387, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1427, decode.acc_seg: 93.9350, loss: 0.1427 2023-11-03 01:38:34,279 - mmseg - INFO - per class results: 2023-11-03 01:38:34,284 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 81.36 | 90.52 | | building | 85.0 | 93.74 | | sky | 94.6 | 97.53 | | floor | 84.25 | 91.6 | | tree | 76.77 | 89.89 | | ceiling | 87.06 | 94.22 | | road | 85.74 | 91.77 | | bed | 92.12 | 96.91 | | windowpane | 66.55 | 81.18 | | grass | 69.88 | 82.38 | | cabinet | 66.61 | 74.82 | | sidewalk | 69.83 | 83.6 | | person | 83.79 | 92.68 | | earth | 39.87 | 51.56 | | door | 60.56 | 72.65 | | table | 69.44 | 81.72 | | mountain | 63.73 | 77.27 | | plant | 54.46 | 67.62 | | curtain | 77.83 | 89.03 | | chair | 62.82 | 73.88 | | car | 86.99 | 93.47 | | water | 61.12 | 77.08 | | painting | 78.32 | 88.32 | | sofa | 82.03 | 90.77 | | shelf | 48.41 | 63.51 | | house | 57.35 | 71.24 | | sea | 69.69 | 83.89 | | mirror | 79.04 | 88.69 | | rug | 65.49 | 76.33 | | field | 36.79 | 65.76 | | armchair | 64.27 | 80.27 | | seat | 64.23 | 88.42 | | fence | 53.11 | 64.88 | | desk | 58.78 | 78.23 | | rock | 57.42 | 78.53 | | wardrobe | 54.78 | 74.87 | | lamp | 71.17 | 81.4 | | bathtub | 88.31 | 90.82 | | railing | 41.12 | 58.0 | | cushion | 65.44 | 80.85 | | base | 38.32 | 54.1 | | box | 39.9 | 46.3 | | column | 51.23 | 60.27 | | signboard | 39.45 | 52.12 | | chest of drawers | 47.9 | 71.21 | | counter | 33.28 | 40.41 | | sand | 58.88 | 87.29 | | sink | 80.86 | 87.24 | | skyscraper | 44.1 | 56.94 | | fireplace | 73.84 | 90.39 | | refrigerator | 85.58 | 94.65 | | grandstand | 50.88 | 82.48 | | path | 30.39 | 42.41 | | stairs | 30.98 | 38.85 | | runway | 69.37 | 88.97 | | case | 57.77 | 76.34 | | pool table | 94.29 | 97.6 | | pillow | 62.39 | 73.7 | | screen door | 77.45 | 79.22 | | stairway | 40.42 | 52.08 | | river | 10.71 | 21.8 | | bridge | 75.79 | 87.05 | | bookcase | 42.04 | 56.43 | | blind | 40.0 | 43.56 | | coffee table | 60.83 | 85.02 | | toilet | 90.27 | 93.44 | | flower | 41.7 | 58.94 | | book | 50.4 | 75.61 | | hill | 11.87 | 16.11 | | bench | 53.76 | 62.01 | | countertop | 64.09 | 83.84 | | stove | 86.13 | 92.16 | | palm | 53.82 | 79.29 | | kitchen island | 52.77 | 80.83 | | computer | 76.63 | 88.28 | | swivel chair | 42.53 | 66.48 | | boat | 77.04 | 87.11 | | bar | 58.14 | 79.48 | | arcade machine | 69.6 | 72.18 | | hovel | 24.23 | 25.6 | | bus | 92.7 | 96.72 | | towel | 77.11 | 87.79 | | light | 49.07 | 57.57 | | truck | 54.18 | 64.11 | | tower | 34.32 | 53.04 | | chandelier | 68.51 | 81.52 | | awning | 35.34 | 43.84 | | streetlight | 26.74 | 34.71 | | booth | 61.06 | 70.0 | | television receiver | 74.76 | 88.93 | | airplane | 84.98 | 90.76 | | dirt track | 31.17 | 39.53 | | apparel | 53.25 | 72.61 | | pole | 20.92 | 29.34 | | land | 5.79 | 8.45 | | bannister | 14.64 | 18.52 | | escalator | 62.27 | 77.68 | | ottoman | 50.93 | 69.96 | | bottle | 42.87 | 65.88 | | buffet | 64.38 | 76.24 | | poster | 38.08 | 45.83 | | stage | 22.24 | 37.94 | | van | 53.49 | 70.48 | | ship | 73.35 | 78.36 | | fountain | 39.43 | 39.7 | | conveyer belt | 78.72 | 95.24 | | canopy | 46.42 | 59.02 | | washer | 82.29 | 86.49 | | plaything | 34.35 | 49.19 | | swimming pool | 68.25 | 78.94 | | stool | 48.72 | 63.85 | | barrel | 62.67 | 85.97 | | basket | 43.7 | 55.84 | | waterfall | 46.38 | 58.36 | | tent | 96.24 | 98.11 | | bag | 26.48 | 28.86 | | minibike | 73.22 | 87.09 | | cradle | 87.02 | 97.55 | | oven | 61.67 | 71.43 | | ball | 62.81 | 68.95 | | food | 63.83 | 74.39 | | step | 10.77 | 12.35 | | tank | 62.53 | 66.66 | | trade name | 26.77 | 29.92 | | microwave | 90.32 | 94.25 | | pot | 58.96 | 66.92 | | animal | 67.34 | 69.22 | | bicycle | 60.48 | 79.35 | | lake | 53.22 | 63.75 | | dishwasher | 74.51 | 82.26 | | screen | 60.56 | 80.19 | | blanket | 26.53 | 30.69 | | sculpture | 78.83 | 86.79 | | hood | 62.77 | 73.39 | | sconce | 55.86 | 67.41 | | vase | 46.57 | 63.42 | | traffic light | 35.83 | 51.58 | | tray | 23.74 | 29.76 | | ashcan | 51.25 | 64.77 | | fan | 63.62 | 74.35 | | pier | 40.16 | 45.25 | | crt screen | 6.77 | 17.42 | | plate | 60.78 | 78.88 | | monitor | 19.0 | 21.26 | | bulletin board | 58.11 | 65.47 | | shower | 10.72 | 15.41 | | radiator | 64.52 | 77.94 | | glass | 19.98 | 22.01 | | clock | 49.53 | 60.66 | | flag | 67.91 | 73.17 | +---------------------+-------+-------+ 2023-11-03 01:38:34,284 - mmseg - INFO - Summary: 2023-11-03 01:38:34,285 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 85.97 | 57.12 | 68.67 | +-------+-------+-------+ 2023-11-03 01:38:34,285 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-03 01:38:34,286 - mmseg - INFO - Iter(val) [250] aAcc: 0.8597, mIoU: 0.5712, mAcc: 0.6867, IoU.wall: 0.8136, IoU.building: 0.8500, IoU.sky: 0.9460, IoU.floor: 0.8425, IoU.tree: 0.7677, IoU.ceiling: 0.8706, IoU.road: 0.8574, IoU.bed : 0.9212, IoU.windowpane: 0.6655, IoU.grass: 0.6988, IoU.cabinet: 0.6661, IoU.sidewalk: 0.6983, IoU.person: 0.8379, IoU.earth: 0.3987, IoU.door: 0.6056, IoU.table: 0.6944, IoU.mountain: 0.6373, IoU.plant: 0.5446, IoU.curtain: 0.7783, IoU.chair: 0.6282, IoU.car: 0.8699, IoU.water: 0.6112, IoU.painting: 0.7832, IoU.sofa: 0.8203, IoU.shelf: 0.4841, IoU.house: 0.5735, IoU.sea: 0.6969, IoU.mirror: 0.7904, IoU.rug: 0.6549, IoU.field: 0.3679, IoU.armchair: 0.6427, IoU.seat: 0.6423, IoU.fence: 0.5311, IoU.desk: 0.5878, IoU.rock: 0.5742, IoU.wardrobe: 0.5478, IoU.lamp: 0.7117, IoU.bathtub: 0.8831, IoU.railing: 0.4112, IoU.cushion: 0.6544, IoU.base: 0.3832, IoU.box: 0.3990, IoU.column: 0.5123, IoU.signboard: 0.3945, IoU.chest of drawers: 0.4790, IoU.counter: 0.3328, IoU.sand: 0.5888, IoU.sink: 0.8086, IoU.skyscraper: 0.4410, IoU.fireplace: 0.7384, IoU.refrigerator: 0.8558, IoU.grandstand: 0.5088, IoU.path: 0.3039, IoU.stairs: 0.3098, IoU.runway: 0.6937, IoU.case: 0.5777, IoU.pool table: 0.9429, IoU.pillow: 0.6239, IoU.screen door: 0.7745, IoU.stairway: 0.4042, IoU.river: 0.1071, IoU.bridge: 0.7579, IoU.bookcase: 0.4204, IoU.blind: 0.4000, IoU.coffee table: 0.6083, IoU.toilet: 0.9027, IoU.flower: 0.4170, IoU.book: 0.5040, IoU.hill: 0.1187, IoU.bench: 0.5376, IoU.countertop: 0.6409, IoU.stove: 0.8613, IoU.palm: 0.5382, IoU.kitchen island: 0.5277, IoU.computer: 0.7663, IoU.swivel chair: 0.4253, IoU.boat: 0.7704, IoU.bar: 0.5814, IoU.arcade machine: 0.6960, IoU.hovel: 0.2423, IoU.bus: 0.9270, IoU.towel: 0.7711, IoU.light: 0.4907, IoU.truck: 0.5418, IoU.tower: 0.3432, IoU.chandelier: 0.6851, IoU.awning: 0.3534, IoU.streetlight: 0.2674, IoU.booth: 0.6106, IoU.television receiver: 0.7476, IoU.airplane: 0.8498, IoU.dirt track: 0.3117, IoU.apparel: 0.5325, IoU.pole: 0.2092, IoU.land: 0.0579, IoU.bannister: 0.1464, IoU.escalator: 0.6227, IoU.ottoman: 0.5093, IoU.bottle: 0.4287, IoU.buffet: 0.6438, IoU.poster: 0.3808, IoU.stage: 0.2224, IoU.van: 0.5349, IoU.ship: 0.7335, IoU.fountain: 0.3943, IoU.conveyer belt: 0.7872, IoU.canopy: 0.4642, IoU.washer: 0.8229, IoU.plaything: 0.3435, IoU.swimming pool: 0.6825, IoU.stool: 0.4872, IoU.barrel: 0.6267, IoU.basket: 0.4370, IoU.waterfall: 0.4638, IoU.tent: 0.9624, IoU.bag: 0.2648, IoU.minibike: 0.7322, IoU.cradle: 0.8702, IoU.oven: 0.6167, IoU.ball: 0.6281, IoU.food: 0.6383, IoU.step: 0.1077, IoU.tank: 0.6253, IoU.trade name: 0.2677, IoU.microwave: 0.9032, IoU.pot: 0.5896, IoU.animal: 0.6734, IoU.bicycle: 0.6048, IoU.lake: 0.5322, IoU.dishwasher: 0.7451, IoU.screen: 0.6056, IoU.blanket: 0.2653, IoU.sculpture: 0.7883, IoU.hood: 0.6277, IoU.sconce: 0.5586, IoU.vase: 0.4657, IoU.traffic light: 0.3583, IoU.tray: 0.2374, IoU.ashcan: 0.5125, IoU.fan: 0.6362, IoU.pier: 0.4016, IoU.crt screen: 0.0677, IoU.plate: 0.6078, IoU.monitor: 0.1900, IoU.bulletin board: 0.5811, IoU.shower: 0.1072, IoU.radiator: 0.6452, IoU.glass: 0.1998, IoU.clock: 0.4953, IoU.flag: 0.6791, Acc.wall: 0.9052, Acc.building: 0.9374, Acc.sky: 0.9753, Acc.floor: 0.9160, Acc.tree: 0.8989, Acc.ceiling: 0.9422, Acc.road: 0.9177, Acc.bed : 0.9691, Acc.windowpane: 0.8118, Acc.grass: 0.8238, Acc.cabinet: 0.7482, Acc.sidewalk: 0.8360, Acc.person: 0.9268, Acc.earth: 0.5156, Acc.door: 0.7265, Acc.table: 0.8172, Acc.mountain: 0.7727, Acc.plant: 0.6762, Acc.curtain: 0.8903, Acc.chair: 0.7388, Acc.car: 0.9347, Acc.water: 0.7708, Acc.painting: 0.8832, Acc.sofa: 0.9077, Acc.shelf: 0.6351, Acc.house: 0.7124, Acc.sea: 0.8389, Acc.mirror: 0.8869, Acc.rug: 0.7633, Acc.field: 0.6576, Acc.armchair: 0.8027, Acc.seat: 0.8842, Acc.fence: 0.6488, Acc.desk: 0.7823, Acc.rock: 0.7853, Acc.wardrobe: 0.7487, Acc.lamp: 0.8140, Acc.bathtub: 0.9082, Acc.railing: 0.5800, Acc.cushion: 0.8085, Acc.base: 0.5410, Acc.box: 0.4630, Acc.column: 0.6027, Acc.signboard: 0.5212, Acc.chest of drawers: 0.7121, Acc.counter: 0.4041, Acc.sand: 0.8729, Acc.sink: 0.8724, Acc.skyscraper: 0.5694, Acc.fireplace: 0.9039, Acc.refrigerator: 0.9465, Acc.grandstand: 0.8248, Acc.path: 0.4241, Acc.stairs: 0.3885, Acc.runway: 0.8897, Acc.case: 0.7634, Acc.pool table: 0.9760, Acc.pillow: 0.7370, Acc.screen door: 0.7922, Acc.stairway: 0.5208, Acc.river: 0.2180, Acc.bridge: 0.8705, Acc.bookcase: 0.5643, Acc.blind: 0.4356, Acc.coffee table: 0.8502, Acc.toilet: 0.9344, Acc.flower: 0.5894, Acc.book: 0.7561, Acc.hill: 0.1611, Acc.bench: 0.6201, Acc.countertop: 0.8384, Acc.stove: 0.9216, Acc.palm: 0.7929, Acc.kitchen island: 0.8083, Acc.computer: 0.8828, Acc.swivel chair: 0.6648, Acc.boat: 0.8711, Acc.bar: 0.7948, Acc.arcade machine: 0.7218, Acc.hovel: 0.2560, Acc.bus: 0.9672, Acc.towel: 0.8779, Acc.light: 0.5757, Acc.truck: 0.6411, Acc.tower: 0.5304, Acc.chandelier: 0.8152, Acc.awning: 0.4384, Acc.streetlight: 0.3471, Acc.booth: 0.7000, Acc.television receiver: 0.8893, Acc.airplane: 0.9076, Acc.dirt track: 0.3953, Acc.apparel: 0.7261, Acc.pole: 0.2934, Acc.land: 0.0845, Acc.bannister: 0.1852, Acc.escalator: 0.7768, Acc.ottoman: 0.6996, Acc.bottle: 0.6588, Acc.buffet: 0.7624, Acc.poster: 0.4583, Acc.stage: 0.3794, Acc.van: 0.7048, Acc.ship: 0.7836, Acc.fountain: 0.3970, Acc.conveyer belt: 0.9524, Acc.canopy: 0.5902, Acc.washer: 0.8649, Acc.plaything: 0.4919, Acc.swimming pool: 0.7894, Acc.stool: 0.6385, Acc.barrel: 0.8597, Acc.basket: 0.5584, Acc.waterfall: 0.5836, Acc.tent: 0.9811, Acc.bag: 0.2886, Acc.minibike: 0.8709, Acc.cradle: 0.9755, Acc.oven: 0.7143, Acc.ball: 0.6895, Acc.food: 0.7439, Acc.step: 0.1235, Acc.tank: 0.6666, Acc.trade name: 0.2992, Acc.microwave: 0.9425, Acc.pot: 0.6692, Acc.animal: 0.6922, Acc.bicycle: 0.7935, Acc.lake: 0.6375, Acc.dishwasher: 0.8226, Acc.screen: 0.8019, Acc.blanket: 0.3069, Acc.sculpture: 0.8679, Acc.hood: 0.7339, Acc.sconce: 0.6741, Acc.vase: 0.6342, Acc.traffic light: 0.5158, Acc.tray: 0.2976, Acc.ashcan: 0.6477, Acc.fan: 0.7435, Acc.pier: 0.4525, Acc.crt screen: 0.1742, Acc.plate: 0.7888, Acc.monitor: 0.2126, Acc.bulletin board: 0.6547, Acc.shower: 0.1541, Acc.radiator: 0.7794, Acc.glass: 0.2201, Acc.clock: 0.6066, Acc.flag: 0.7317 2023-11-03 01:39:35,050 - mmseg - INFO - Iter [64050/80000] lr: 6.460e-07, eta: 5:54:24, time: 2.386, data_time: 1.178, memory: 38534, decode.loss_ce: 0.1435, decode.acc_seg: 93.6752, loss: 0.1435 2023-11-03 01:40:35,791 - mmseg - INFO - Iter [64100/80000] lr: 6.439e-07, eta: 5:53:15, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1393, decode.acc_seg: 94.0027, loss: 0.1393 2023-11-03 01:41:36,527 - mmseg - INFO - Iter [64150/80000] lr: 6.419e-07, eta: 5:52:07, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1475, decode.acc_seg: 93.5555, loss: 0.1475 2023-11-03 01:42:37,223 - mmseg - INFO - Iter [64200/80000] lr: 6.399e-07, eta: 5:50:59, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1439, decode.acc_seg: 93.5616, loss: 0.1439 2023-11-03 01:43:37,953 - mmseg - INFO - Iter [64250/80000] lr: 6.379e-07, eta: 5:49:51, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1479, decode.acc_seg: 93.5848, loss: 0.1479 2023-11-03 01:44:38,651 - mmseg - INFO - Iter [64300/80000] lr: 6.358e-07, eta: 5:48:43, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1460, decode.acc_seg: 93.7215, loss: 0.1460 2023-11-03 01:45:39,381 - mmseg - INFO - Iter [64350/80000] lr: 6.338e-07, eta: 5:47:35, time: 1.215, data_time: 0.008, memory: 38534, decode.loss_ce: 0.1413, decode.acc_seg: 93.7659, loss: 0.1413 2023-11-03 01:46:40,122 - mmseg - INFO - Iter [64400/80000] lr: 6.318e-07, eta: 5:46:27, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1467, decode.acc_seg: 93.6210, loss: 0.1467 2023-11-03 01:47:43,145 - mmseg - INFO - Iter [64450/80000] lr: 6.298e-07, eta: 5:45:19, time: 1.260, data_time: 0.052, memory: 38534, decode.loss_ce: 0.1463, decode.acc_seg: 93.7492, loss: 0.1463 2023-11-03 01:48:43,838 - mmseg - INFO - Iter [64500/80000] lr: 6.277e-07, eta: 5:44:11, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1343, decode.acc_seg: 94.1363, loss: 0.1343 2023-11-03 01:49:44,570 - mmseg - INFO - Iter [64550/80000] lr: 6.257e-07, eta: 5:43:03, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1393, decode.acc_seg: 93.7871, loss: 0.1393 2023-11-03 01:50:45,312 - mmseg - INFO - Iter [64600/80000] lr: 6.237e-07, eta: 5:41:55, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1440, decode.acc_seg: 93.7818, loss: 0.1440 2023-11-03 01:51:46,082 - mmseg - INFO - Iter [64650/80000] lr: 6.217e-07, eta: 5:40:47, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1428, decode.acc_seg: 93.7964, loss: 0.1428 2023-11-03 01:52:46,808 - mmseg - INFO - Iter [64700/80000] lr: 6.197e-07, eta: 5:39:39, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1429, decode.acc_seg: 93.7871, loss: 0.1429 2023-11-03 01:53:47,500 - mmseg - INFO - Iter [64750/80000] lr: 6.176e-07, eta: 5:38:31, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1518, decode.acc_seg: 93.4874, loss: 0.1518 2023-11-03 01:54:48,164 - mmseg - INFO - Iter [64800/80000] lr: 6.156e-07, eta: 5:37:23, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1455, decode.acc_seg: 93.6618, loss: 0.1455 2023-11-03 01:55:48,898 - mmseg - INFO - Iter [64850/80000] lr: 6.136e-07, eta: 5:36:15, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1470, decode.acc_seg: 93.6918, loss: 0.1470 2023-11-03 01:56:50,710 - mmseg - INFO - Iter [64900/80000] lr: 6.116e-07, eta: 5:35:08, time: 1.236, data_time: 0.029, memory: 38534, decode.loss_ce: 0.1385, decode.acc_seg: 93.9956, loss: 0.1385 2023-11-03 01:57:51,427 - mmseg - INFO - Iter [64950/80000] lr: 6.095e-07, eta: 5:34:00, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1424, decode.acc_seg: 93.7279, loss: 0.1424 2023-11-03 01:58:52,138 - mmseg - INFO - Saving checkpoint at 65000 iterations 2023-11-03 01:59:49,573 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-03 01:59:49,573 - mmseg - INFO - Iter [65000/80000] lr: 6.075e-07, eta: 5:33:05, time: 2.363, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1412, decode.acc_seg: 93.9564, loss: 0.1412 2023-11-03 02:00:55,676 - mmseg - INFO - per class results: 2023-11-03 02:00:55,681 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 81.11 | 89.56 | | building | 84.67 | 93.42 | | sky | 94.58 | 97.53 | | floor | 84.12 | 91.0 | | tree | 76.62 | 90.93 | | ceiling | 86.86 | 94.07 | | road | 86.05 | 92.69 | | bed | 91.9 | 97.09 | | windowpane | 66.78 | 81.63 | | grass | 68.85 | 82.28 | | cabinet | 67.62 | 77.88 | | sidewalk | 70.3 | 82.96 | | person | 83.72 | 92.8 | | earth | 40.23 | 53.16 | | door | 60.8 | 73.72 | | table | 70.15 | 82.52 | | mountain | 63.27 | 74.25 | | plant | 54.28 | 67.19 | | curtain | 77.98 | 89.38 | | chair | 63.99 | 77.13 | | car | 87.12 | 93.2 | | water | 61.76 | 77.74 | | painting | 78.38 | 89.58 | | sofa | 82.4 | 89.68 | | shelf | 48.14 | 63.88 | | house | 55.37 | 68.48 | | sea | 70.12 | 84.56 | | mirror | 79.41 | 89.74 | | rug | 65.54 | 78.85 | | field | 31.82 | 54.22 | | armchair | 64.83 | 81.56 | | seat | 61.92 | 89.33 | | fence | 51.66 | 65.94 | | desk | 58.44 | 79.25 | | rock | 55.9 | 83.01 | | wardrobe | 54.32 | 69.85 | | lamp | 71.16 | 81.86 | | bathtub | 88.82 | 92.16 | | railing | 39.31 | 53.38 | | cushion | 66.15 | 81.03 | | base | 38.27 | 51.86 | | box | 39.05 | 45.68 | | column | 51.79 | 62.82 | | signboard | 38.89 | 50.79 | | chest of drawers | 49.07 | 72.67 | | counter | 33.94 | 42.2 | | sand | 59.08 | 86.93 | | sink | 80.29 | 86.5 | | skyscraper | 44.5 | 56.86 | | fireplace | 74.54 | 89.18 | | refrigerator | 86.1 | 94.0 | | grandstand | 50.96 | 82.75 | | path | 24.57 | 32.72 | | stairs | 28.75 | 34.52 | | runway | 71.64 | 91.19 | | case | 59.44 | 83.13 | | pool table | 94.26 | 97.82 | | pillow | 61.46 | 71.06 | | screen door | 81.1 | 83.86 | | stairway | 41.85 | 58.2 | | river | 10.83 | 20.44 | | bridge | 76.42 | 84.73 | | bookcase | 42.94 | 60.49 | | blind | 41.13 | 45.97 | | coffee table | 62.9 | 83.69 | | toilet | 90.12 | 93.43 | | flower | 42.69 | 63.12 | | book | 51.31 | 73.31 | | hill | 11.83 | 16.32 | | bench | 53.67 | 60.1 | | countertop | 64.88 | 80.89 | | stove | 85.93 | 93.0 | | palm | 53.32 | 76.53 | | kitchen island | 52.38 | 78.47 | | computer | 77.0 | 89.17 | | swivel chair | 44.63 | 66.33 | | boat | 78.35 | 91.25 | | bar | 58.22 | 74.91 | | arcade machine | 70.64 | 73.87 | | hovel | 26.63 | 28.64 | | bus | 92.71 | 96.71 | | towel | 77.57 | 85.47 | | light | 49.77 | 58.34 | | truck | 52.77 | 64.79 | | tower | 36.3 | 55.58 | | chandelier | 69.36 | 82.73 | | awning | 36.02 | 45.31 | | streetlight | 29.13 | 38.71 | | booth | 60.18 | 73.14 | | television receiver | 74.57 | 88.94 | | airplane | 83.82 | 90.09 | | dirt track | 27.92 | 52.91 | | apparel | 51.43 | 71.6 | | pole | 21.71 | 30.18 | | land | 5.01 | 6.86 | | bannister | 14.52 | 18.04 | | escalator | 66.09 | 84.48 | | ottoman | 52.69 | 67.61 | | bottle | 42.88 | 63.44 | | buffet | 61.03 | 70.52 | | poster | 38.8 | 46.0 | | stage | 21.17 | 32.98 | | van | 53.05 | 71.48 | | ship | 74.74 | 77.96 | | fountain | 36.06 | 36.35 | | conveyer belt | 77.69 | 95.03 | | canopy | 50.52 | 67.72 | | washer | 84.67 | 89.19 | | plaything | 33.88 | 48.89 | | swimming pool | 65.73 | 79.27 | | stool | 51.39 | 65.87 | | barrel | 62.42 | 87.43 | | basket | 42.49 | 54.54 | | waterfall | 47.14 | 58.37 | | tent | 96.01 | 98.29 | | bag | 23.66 | 26.02 | | minibike | 74.24 | 85.82 | | cradle | 87.19 | 97.56 | | oven | 64.0 | 77.33 | | ball | 63.41 | 71.28 | | food | 63.15 | 77.57 | | step | 12.27 | 14.1 | | tank | 62.37 | 66.38 | | trade name | 23.99 | 26.31 | | microwave | 90.59 | 95.21 | | pot | 58.69 | 67.08 | | animal | 69.29 | 71.24 | | bicycle | 59.38 | 74.78 | | lake | 53.42 | 63.73 | | dishwasher | 74.29 | 83.1 | | screen | 62.73 | 89.59 | | blanket | 24.65 | 28.54 | | sculpture | 77.33 | 88.56 | | hood | 62.74 | 75.18 | | sconce | 55.5 | 67.57 | | vase | 47.25 | 61.59 | | traffic light | 36.59 | 58.43 | | tray | 22.68 | 27.87 | | ashcan | 51.31 | 65.19 | | fan | 64.77 | 80.4 | | pier | 40.03 | 44.87 | | crt screen | 7.56 | 16.85 | | plate | 61.54 | 77.62 | | monitor | 28.5 | 33.07 | | bulletin board | 58.01 | 70.41 | | shower | 13.01 | 15.95 | | radiator | 64.12 | 76.72 | | glass | 19.41 | 21.2 | | clock | 49.11 | 59.05 | | flag | 68.97 | 77.58 | +---------------------+-------+-------+ 2023-11-03 02:00:55,681 - mmseg - INFO - Summary: 2023-11-03 02:00:55,681 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 85.91 | 57.26 | 69.11 | +-------+-------+-------+ 2023-11-03 02:00:55,682 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-03 02:00:55,682 - mmseg - INFO - Iter(val) [250] aAcc: 0.8591, mIoU: 0.5726, mAcc: 0.6911, IoU.wall: 0.8111, IoU.building: 0.8467, IoU.sky: 0.9458, IoU.floor: 0.8412, IoU.tree: 0.7662, IoU.ceiling: 0.8686, IoU.road: 0.8605, IoU.bed : 0.9190, IoU.windowpane: 0.6678, IoU.grass: 0.6885, IoU.cabinet: 0.6762, IoU.sidewalk: 0.7030, IoU.person: 0.8372, IoU.earth: 0.4023, IoU.door: 0.6080, IoU.table: 0.7015, IoU.mountain: 0.6327, IoU.plant: 0.5428, IoU.curtain: 0.7798, IoU.chair: 0.6399, IoU.car: 0.8712, IoU.water: 0.6176, IoU.painting: 0.7838, IoU.sofa: 0.8240, IoU.shelf: 0.4814, IoU.house: 0.5537, IoU.sea: 0.7012, IoU.mirror: 0.7941, IoU.rug: 0.6554, IoU.field: 0.3182, IoU.armchair: 0.6483, IoU.seat: 0.6192, IoU.fence: 0.5166, IoU.desk: 0.5844, IoU.rock: 0.5590, IoU.wardrobe: 0.5432, IoU.lamp: 0.7116, IoU.bathtub: 0.8882, IoU.railing: 0.3931, IoU.cushion: 0.6615, IoU.base: 0.3827, IoU.box: 0.3905, IoU.column: 0.5179, IoU.signboard: 0.3889, IoU.chest of drawers: 0.4907, IoU.counter: 0.3394, IoU.sand: 0.5908, IoU.sink: 0.8029, IoU.skyscraper: 0.4450, IoU.fireplace: 0.7454, IoU.refrigerator: 0.8610, IoU.grandstand: 0.5096, IoU.path: 0.2457, IoU.stairs: 0.2875, IoU.runway: 0.7164, IoU.case: 0.5944, IoU.pool table: 0.9426, IoU.pillow: 0.6146, IoU.screen door: 0.8110, IoU.stairway: 0.4185, IoU.river: 0.1083, IoU.bridge: 0.7642, IoU.bookcase: 0.4294, IoU.blind: 0.4113, IoU.coffee table: 0.6290, IoU.toilet: 0.9012, IoU.flower: 0.4269, IoU.book: 0.5131, IoU.hill: 0.1183, IoU.bench: 0.5367, IoU.countertop: 0.6488, IoU.stove: 0.8593, IoU.palm: 0.5332, IoU.kitchen island: 0.5238, IoU.computer: 0.7700, IoU.swivel chair: 0.4463, IoU.boat: 0.7835, IoU.bar: 0.5822, IoU.arcade machine: 0.7064, IoU.hovel: 0.2663, IoU.bus: 0.9271, IoU.towel: 0.7757, IoU.light: 0.4977, IoU.truck: 0.5277, IoU.tower: 0.3630, IoU.chandelier: 0.6936, IoU.awning: 0.3602, IoU.streetlight: 0.2913, IoU.booth: 0.6018, IoU.television receiver: 0.7457, IoU.airplane: 0.8382, IoU.dirt track: 0.2792, IoU.apparel: 0.5143, IoU.pole: 0.2171, IoU.land: 0.0501, IoU.bannister: 0.1452, IoU.escalator: 0.6609, IoU.ottoman: 0.5269, IoU.bottle: 0.4288, IoU.buffet: 0.6103, IoU.poster: 0.3880, IoU.stage: 0.2117, IoU.van: 0.5305, IoU.ship: 0.7474, IoU.fountain: 0.3606, IoU.conveyer belt: 0.7769, IoU.canopy: 0.5052, IoU.washer: 0.8467, IoU.plaything: 0.3388, IoU.swimming pool: 0.6573, IoU.stool: 0.5139, IoU.barrel: 0.6242, IoU.basket: 0.4249, IoU.waterfall: 0.4714, IoU.tent: 0.9601, IoU.bag: 0.2366, IoU.minibike: 0.7424, IoU.cradle: 0.8719, IoU.oven: 0.6400, IoU.ball: 0.6341, IoU.food: 0.6315, IoU.step: 0.1227, IoU.tank: 0.6237, IoU.trade name: 0.2399, IoU.microwave: 0.9059, IoU.pot: 0.5869, IoU.animal: 0.6929, IoU.bicycle: 0.5938, IoU.lake: 0.5342, IoU.dishwasher: 0.7429, IoU.screen: 0.6273, IoU.blanket: 0.2465, IoU.sculpture: 0.7733, IoU.hood: 0.6274, IoU.sconce: 0.5550, IoU.vase: 0.4725, IoU.traffic light: 0.3659, IoU.tray: 0.2268, IoU.ashcan: 0.5131, IoU.fan: 0.6477, IoU.pier: 0.4003, IoU.crt screen: 0.0756, IoU.plate: 0.6154, IoU.monitor: 0.2850, IoU.bulletin board: 0.5801, IoU.shower: 0.1301, IoU.radiator: 0.6412, IoU.glass: 0.1941, IoU.clock: 0.4911, IoU.flag: 0.6897, Acc.wall: 0.8956, Acc.building: 0.9342, Acc.sky: 0.9753, Acc.floor: 0.9100, Acc.tree: 0.9093, Acc.ceiling: 0.9407, Acc.road: 0.9269, Acc.bed : 0.9709, Acc.windowpane: 0.8163, Acc.grass: 0.8228, Acc.cabinet: 0.7788, Acc.sidewalk: 0.8296, Acc.person: 0.9280, Acc.earth: 0.5316, Acc.door: 0.7372, Acc.table: 0.8252, Acc.mountain: 0.7425, Acc.plant: 0.6719, Acc.curtain: 0.8938, Acc.chair: 0.7713, Acc.car: 0.9320, Acc.water: 0.7774, Acc.painting: 0.8958, Acc.sofa: 0.8968, Acc.shelf: 0.6388, Acc.house: 0.6848, Acc.sea: 0.8456, Acc.mirror: 0.8974, Acc.rug: 0.7885, Acc.field: 0.5422, Acc.armchair: 0.8156, Acc.seat: 0.8933, Acc.fence: 0.6594, Acc.desk: 0.7925, Acc.rock: 0.8301, Acc.wardrobe: 0.6985, Acc.lamp: 0.8186, Acc.bathtub: 0.9216, Acc.railing: 0.5338, Acc.cushion: 0.8103, Acc.base: 0.5186, Acc.box: 0.4568, Acc.column: 0.6282, Acc.signboard: 0.5079, Acc.chest of drawers: 0.7267, Acc.counter: 0.4220, Acc.sand: 0.8693, Acc.sink: 0.8650, Acc.skyscraper: 0.5686, Acc.fireplace: 0.8918, Acc.refrigerator: 0.9400, Acc.grandstand: 0.8275, Acc.path: 0.3272, Acc.stairs: 0.3452, Acc.runway: 0.9119, Acc.case: 0.8313, Acc.pool table: 0.9782, Acc.pillow: 0.7106, Acc.screen door: 0.8386, Acc.stairway: 0.5820, Acc.river: 0.2044, Acc.bridge: 0.8473, Acc.bookcase: 0.6049, Acc.blind: 0.4597, Acc.coffee table: 0.8369, Acc.toilet: 0.9343, Acc.flower: 0.6312, Acc.book: 0.7331, Acc.hill: 0.1632, Acc.bench: 0.6010, Acc.countertop: 0.8089, Acc.stove: 0.9300, Acc.palm: 0.7653, Acc.kitchen island: 0.7847, Acc.computer: 0.8917, Acc.swivel chair: 0.6633, Acc.boat: 0.9125, Acc.bar: 0.7491, Acc.arcade machine: 0.7387, Acc.hovel: 0.2864, Acc.bus: 0.9671, Acc.towel: 0.8547, Acc.light: 0.5834, Acc.truck: 0.6479, Acc.tower: 0.5558, Acc.chandelier: 0.8273, Acc.awning: 0.4531, Acc.streetlight: 0.3871, Acc.booth: 0.7314, Acc.television receiver: 0.8894, Acc.airplane: 0.9009, Acc.dirt track: 0.5291, Acc.apparel: 0.7160, Acc.pole: 0.3018, Acc.land: 0.0686, Acc.bannister: 0.1804, Acc.escalator: 0.8448, Acc.ottoman: 0.6761, Acc.bottle: 0.6344, Acc.buffet: 0.7052, Acc.poster: 0.4600, Acc.stage: 0.3298, Acc.van: 0.7148, Acc.ship: 0.7796, Acc.fountain: 0.3635, Acc.conveyer belt: 0.9503, Acc.canopy: 0.6772, Acc.washer: 0.8919, Acc.plaything: 0.4889, Acc.swimming pool: 0.7927, Acc.stool: 0.6587, Acc.barrel: 0.8743, Acc.basket: 0.5454, Acc.waterfall: 0.5837, Acc.tent: 0.9829, Acc.bag: 0.2602, Acc.minibike: 0.8582, Acc.cradle: 0.9756, Acc.oven: 0.7733, Acc.ball: 0.7128, Acc.food: 0.7757, Acc.step: 0.1410, Acc.tank: 0.6638, Acc.trade name: 0.2631, Acc.microwave: 0.9521, Acc.pot: 0.6708, Acc.animal: 0.7124, Acc.bicycle: 0.7478, Acc.lake: 0.6373, Acc.dishwasher: 0.8310, Acc.screen: 0.8959, Acc.blanket: 0.2854, Acc.sculpture: 0.8856, Acc.hood: 0.7518, Acc.sconce: 0.6757, Acc.vase: 0.6159, Acc.traffic light: 0.5843, Acc.tray: 0.2787, Acc.ashcan: 0.6519, Acc.fan: 0.8040, Acc.pier: 0.4487, Acc.crt screen: 0.1685, Acc.plate: 0.7762, Acc.monitor: 0.3307, Acc.bulletin board: 0.7041, Acc.shower: 0.1595, Acc.radiator: 0.7672, Acc.glass: 0.2120, Acc.clock: 0.5905, Acc.flag: 0.7758 2023-11-03 02:01:56,484 - mmseg - INFO - Iter [65050/80000] lr: 6.055e-07, eta: 5:32:12, time: 2.538, data_time: 1.329, memory: 38534, decode.loss_ce: 0.1508, decode.acc_seg: 93.5990, loss: 0.1508 2023-11-03 02:02:57,236 - mmseg - INFO - Iter [65100/80000] lr: 6.035e-07, eta: 5:31:04, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1451, decode.acc_seg: 93.6752, loss: 0.1451 2023-11-03 02:03:57,942 - mmseg - INFO - Iter [65150/80000] lr: 6.014e-07, eta: 5:29:56, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1511, decode.acc_seg: 93.4801, loss: 0.1511 2023-11-03 02:04:58,632 - mmseg - INFO - Iter [65200/80000] lr: 5.994e-07, eta: 5:28:48, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1538, decode.acc_seg: 93.4344, loss: 0.1538 2023-11-03 02:05:59,358 - mmseg - INFO - Iter [65250/80000] lr: 5.974e-07, eta: 5:27:40, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1407, decode.acc_seg: 93.7227, loss: 0.1407 2023-11-03 02:07:00,038 - mmseg - INFO - Iter [65300/80000] lr: 5.954e-07, eta: 5:26:32, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1417, decode.acc_seg: 93.8430, loss: 0.1417 2023-11-03 02:08:00,769 - mmseg - INFO - Iter [65350/80000] lr: 5.933e-07, eta: 5:25:24, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1420, decode.acc_seg: 93.6984, loss: 0.1420 2023-11-03 02:09:01,484 - mmseg - INFO - Iter [65400/80000] lr: 5.913e-07, eta: 5:24:16, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1362, decode.acc_seg: 93.8856, loss: 0.1362 2023-11-03 02:10:02,213 - mmseg - INFO - Iter [65450/80000] lr: 5.893e-07, eta: 5:23:08, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1372, decode.acc_seg: 94.0454, loss: 0.1372 2023-11-03 02:11:02,940 - mmseg - INFO - Iter [65500/80000] lr: 5.873e-07, eta: 5:22:00, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1415, decode.acc_seg: 93.7494, loss: 0.1415 2023-11-03 02:12:03,650 - mmseg - INFO - Iter [65550/80000] lr: 5.852e-07, eta: 5:20:53, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1526, decode.acc_seg: 93.2768, loss: 0.1526 2023-11-03 02:13:04,318 - mmseg - INFO - Iter [65600/80000] lr: 5.832e-07, eta: 5:19:45, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1437, decode.acc_seg: 93.7205, loss: 0.1437 2023-11-03 02:14:04,988 - mmseg - INFO - Iter [65650/80000] lr: 5.812e-07, eta: 5:18:37, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1417, decode.acc_seg: 93.7175, loss: 0.1417 2023-11-03 02:15:08,090 - mmseg - INFO - Iter [65700/80000] lr: 5.792e-07, eta: 5:17:29, time: 1.262, data_time: 0.054, memory: 38534, decode.loss_ce: 0.1446, decode.acc_seg: 93.6532, loss: 0.1446 2023-11-03 02:16:08,785 - mmseg - INFO - Iter [65750/80000] lr: 5.771e-07, eta: 5:16:21, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1402, decode.acc_seg: 93.8026, loss: 0.1402 2023-11-03 02:17:09,524 - mmseg - INFO - Iter [65800/80000] lr: 5.751e-07, eta: 5:15:14, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1516, decode.acc_seg: 93.5845, loss: 0.1516 2023-11-03 02:18:10,175 - mmseg - INFO - Iter [65850/80000] lr: 5.731e-07, eta: 5:14:06, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1377, decode.acc_seg: 94.1052, loss: 0.1377 2023-11-03 02:19:10,861 - mmseg - INFO - Iter [65900/80000] lr: 5.711e-07, eta: 5:12:58, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1392, decode.acc_seg: 93.9830, loss: 0.1392 2023-11-03 02:20:11,592 - mmseg - INFO - Iter [65950/80000] lr: 5.690e-07, eta: 5:11:50, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1451, decode.acc_seg: 93.7892, loss: 0.1451 2023-11-03 02:21:12,331 - mmseg - INFO - Saving checkpoint at 66000 iterations 2023-11-03 02:22:10,638 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-03 02:22:10,638 - mmseg - INFO - Iter [66000/80000] lr: 5.670e-07, eta: 5:10:55, time: 2.381, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1451, decode.acc_seg: 93.7690, loss: 0.1451 2023-11-03 02:23:09,745 - mmseg - INFO - per class results: 2023-11-03 02:23:09,751 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 81.21 | 89.7 | | building | 84.49 | 93.81 | | sky | 94.58 | 97.78 | | floor | 84.21 | 92.08 | | tree | 76.72 | 89.59 | | ceiling | 87.01 | 93.92 | | road | 86.29 | 91.73 | | bed | 92.12 | 97.15 | | windowpane | 66.72 | 81.59 | | grass | 68.37 | 81.28 | | cabinet | 66.4 | 75.7 | | sidewalk | 69.92 | 84.9 | | person | 83.71 | 92.51 | | earth | 40.67 | 53.47 | | door | 61.39 | 76.81 | | table | 70.0 | 81.46 | | mountain | 61.69 | 73.23 | | plant | 54.39 | 68.02 | | curtain | 76.46 | 89.1 | | chair | 64.35 | 77.79 | | car | 87.09 | 93.54 | | water | 62.48 | 78.14 | | painting | 76.65 | 89.05 | | sofa | 81.71 | 88.59 | | shelf | 48.31 | 63.93 | | house | 50.29 | 62.05 | | sea | 74.41 | 86.76 | | mirror | 78.27 | 86.59 | | rug | 65.4 | 76.17 | | field | 30.59 | 55.65 | | armchair | 62.35 | 82.02 | | seat | 65.79 | 86.52 | | fence | 52.37 | 64.31 | | desk | 58.35 | 78.01 | | rock | 55.89 | 84.56 | | wardrobe | 53.03 | 71.22 | | lamp | 70.79 | 80.57 | | bathtub | 89.0 | 92.46 | | railing | 40.65 | 57.01 | | cushion | 66.1 | 79.7 | | base | 38.81 | 51.18 | | box | 40.63 | 49.3 | | column | 51.88 | 62.52 | | signboard | 38.73 | 52.74 | | chest of drawers | 49.76 | 73.81 | | counter | 36.57 | 46.51 | | sand | 59.49 | 86.94 | | sink | 80.54 | 87.35 | | skyscraper | 43.59 | 54.97 | | fireplace | 74.01 | 89.77 | | refrigerator | 84.98 | 94.7 | | grandstand | 52.05 | 79.71 | | path | 27.3 | 36.91 | | stairs | 29.27 | 35.76 | | runway | 72.62 | 92.84 | | case | 61.31 | 81.93 | | pool table | 94.45 | 97.3 | | pillow | 63.45 | 74.14 | | screen door | 75.62 | 77.39 | | stairway | 40.47 | 54.71 | | river | 12.51 | 24.59 | | bridge | 76.33 | 85.58 | | bookcase | 42.49 | 58.51 | | blind | 40.06 | 43.27 | | coffee table | 63.02 | 83.65 | | toilet | 90.25 | 93.67 | | flower | 41.03 | 57.81 | | book | 50.81 | 73.99 | | hill | 16.09 | 20.08 | | bench | 54.33 | 61.03 | | countertop | 63.48 | 79.93 | | stove | 86.29 | 92.59 | | palm | 53.06 | 75.87 | | kitchen island | 51.69 | 79.31 | | computer | 77.38 | 88.14 | | swivel chair | 44.83 | 61.16 | | boat | 79.73 | 90.85 | | bar | 59.98 | 80.34 | | arcade machine | 70.34 | 72.62 | | hovel | 26.31 | 28.36 | | bus | 92.6 | 96.91 | | towel | 76.3 | 83.6 | | light | 47.65 | 55.35 | | truck | 51.67 | 63.02 | | tower | 24.94 | 32.92 | | chandelier | 67.83 | 80.28 | | awning | 34.41 | 41.53 | | streetlight | 27.61 | 35.67 | | booth | 60.03 | 69.9 | | television receiver | 74.87 | 88.1 | | airplane | 85.33 | 92.74 | | dirt track | 33.69 | 50.97 | | apparel | 55.54 | 73.02 | | pole | 22.43 | 31.36 | | land | 4.46 | 6.36 | | bannister | 13.77 | 17.67 | | escalator | 63.39 | 79.58 | | ottoman | 52.04 | 65.28 | | bottle | 42.54 | 68.71 | | buffet | 58.58 | 66.03 | | poster | 39.85 | 49.67 | | stage | 16.5 | 26.07 | | van | 52.87 | 70.34 | | ship | 68.34 | 71.31 | | fountain | 37.62 | 37.94 | | conveyer belt | 79.6 | 94.28 | | canopy | 44.59 | 58.67 | | washer | 86.77 | 91.61 | | plaything | 34.37 | 49.23 | | swimming pool | 60.73 | 75.89 | | stool | 48.59 | 65.57 | | barrel | 63.46 | 85.03 | | basket | 40.71 | 53.15 | | waterfall | 49.6 | 57.41 | | tent | 96.12 | 98.38 | | bag | 25.76 | 28.88 | | minibike | 73.73 | 85.72 | | cradle | 87.23 | 97.73 | | oven | 60.98 | 71.43 | | ball | 58.81 | 62.83 | | food | 62.39 | 73.1 | | step | 12.29 | 14.18 | | tank | 62.79 | 65.91 | | trade name | 24.12 | 26.53 | | microwave | 90.58 | 95.52 | | pot | 58.42 | 67.54 | | animal | 69.99 | 71.87 | | bicycle | 59.63 | 74.93 | | lake | 53.48 | 63.87 | | dishwasher | 73.64 | 82.09 | | screen | 63.61 | 89.79 | | blanket | 26.38 | 30.21 | | sculpture | 76.77 | 87.89 | | hood | 62.28 | 72.91 | | sconce | 54.45 | 65.02 | | vase | 47.3 | 61.84 | | traffic light | 37.09 | 51.05 | | tray | 22.32 | 29.95 | | ashcan | 51.88 | 65.86 | | fan | 63.14 | 74.24 | | pier | 38.97 | 45.47 | | crt screen | 8.43 | 17.58 | | plate | 61.09 | 79.1 | | monitor | 33.0 | 37.81 | | bulletin board | 55.71 | 67.05 | | shower | 16.68 | 18.5 | | radiator | 63.35 | 75.18 | | glass | 20.32 | 22.61 | | clock | 49.73 | 62.62 | | flag | 69.27 | 78.01 | +---------------------+-------+-------+ 2023-11-03 02:23:09,751 - mmseg - INFO - Summary: 2023-11-03 02:23:09,751 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 85.87 | 57.07 | 68.46 | +-------+-------+-------+ 2023-11-03 02:23:09,752 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-03 02:23:09,752 - mmseg - INFO - Iter(val) [250] aAcc: 0.8587, mIoU: 0.5707, mAcc: 0.6846, IoU.wall: 0.8121, IoU.building: 0.8449, IoU.sky: 0.9458, IoU.floor: 0.8421, IoU.tree: 0.7672, IoU.ceiling: 0.8701, IoU.road: 0.8629, IoU.bed : 0.9212, IoU.windowpane: 0.6672, IoU.grass: 0.6837, IoU.cabinet: 0.6640, IoU.sidewalk: 0.6992, IoU.person: 0.8371, IoU.earth: 0.4067, IoU.door: 0.6139, IoU.table: 0.7000, IoU.mountain: 0.6169, IoU.plant: 0.5439, IoU.curtain: 0.7646, IoU.chair: 0.6435, IoU.car: 0.8709, IoU.water: 0.6248, IoU.painting: 0.7665, IoU.sofa: 0.8171, IoU.shelf: 0.4831, IoU.house: 0.5029, IoU.sea: 0.7441, IoU.mirror: 0.7827, IoU.rug: 0.6540, IoU.field: 0.3059, IoU.armchair: 0.6235, IoU.seat: 0.6579, IoU.fence: 0.5237, IoU.desk: 0.5835, IoU.rock: 0.5589, IoU.wardrobe: 0.5303, IoU.lamp: 0.7079, IoU.bathtub: 0.8900, IoU.railing: 0.4065, IoU.cushion: 0.6610, IoU.base: 0.3881, IoU.box: 0.4063, IoU.column: 0.5188, IoU.signboard: 0.3873, IoU.chest of drawers: 0.4976, IoU.counter: 0.3657, IoU.sand: 0.5949, IoU.sink: 0.8054, IoU.skyscraper: 0.4359, IoU.fireplace: 0.7401, IoU.refrigerator: 0.8498, IoU.grandstand: 0.5205, IoU.path: 0.2730, IoU.stairs: 0.2927, IoU.runway: 0.7262, IoU.case: 0.6131, IoU.pool table: 0.9445, IoU.pillow: 0.6345, IoU.screen door: 0.7562, IoU.stairway: 0.4047, IoU.river: 0.1251, IoU.bridge: 0.7633, IoU.bookcase: 0.4249, IoU.blind: 0.4006, IoU.coffee table: 0.6302, IoU.toilet: 0.9025, IoU.flower: 0.4103, IoU.book: 0.5081, IoU.hill: 0.1609, IoU.bench: 0.5433, IoU.countertop: 0.6348, IoU.stove: 0.8629, IoU.palm: 0.5306, IoU.kitchen island: 0.5169, IoU.computer: 0.7738, IoU.swivel chair: 0.4483, IoU.boat: 0.7973, IoU.bar: 0.5998, IoU.arcade machine: 0.7034, IoU.hovel: 0.2631, IoU.bus: 0.9260, IoU.towel: 0.7630, IoU.light: 0.4765, IoU.truck: 0.5167, IoU.tower: 0.2494, IoU.chandelier: 0.6783, IoU.awning: 0.3441, IoU.streetlight: 0.2761, IoU.booth: 0.6003, IoU.television receiver: 0.7487, IoU.airplane: 0.8533, IoU.dirt track: 0.3369, IoU.apparel: 0.5554, IoU.pole: 0.2243, IoU.land: 0.0446, IoU.bannister: 0.1377, IoU.escalator: 0.6339, IoU.ottoman: 0.5204, IoU.bottle: 0.4254, IoU.buffet: 0.5858, IoU.poster: 0.3985, IoU.stage: 0.1650, IoU.van: 0.5287, IoU.ship: 0.6834, IoU.fountain: 0.3762, IoU.conveyer belt: 0.7960, IoU.canopy: 0.4459, IoU.washer: 0.8677, IoU.plaything: 0.3437, IoU.swimming pool: 0.6073, IoU.stool: 0.4859, IoU.barrel: 0.6346, IoU.basket: 0.4071, IoU.waterfall: 0.4960, IoU.tent: 0.9612, IoU.bag: 0.2576, IoU.minibike: 0.7373, IoU.cradle: 0.8723, IoU.oven: 0.6098, IoU.ball: 0.5881, IoU.food: 0.6239, IoU.step: 0.1229, IoU.tank: 0.6279, IoU.trade name: 0.2412, IoU.microwave: 0.9058, IoU.pot: 0.5842, IoU.animal: 0.6999, IoU.bicycle: 0.5963, IoU.lake: 0.5348, IoU.dishwasher: 0.7364, IoU.screen: 0.6361, IoU.blanket: 0.2638, IoU.sculpture: 0.7677, IoU.hood: 0.6228, IoU.sconce: 0.5445, IoU.vase: 0.4730, IoU.traffic light: 0.3709, IoU.tray: 0.2232, IoU.ashcan: 0.5188, IoU.fan: 0.6314, IoU.pier: 0.3897, IoU.crt screen: 0.0843, IoU.plate: 0.6109, IoU.monitor: 0.3300, IoU.bulletin board: 0.5571, IoU.shower: 0.1668, IoU.radiator: 0.6335, IoU.glass: 0.2032, IoU.clock: 0.4973, IoU.flag: 0.6927, Acc.wall: 0.8970, Acc.building: 0.9381, Acc.sky: 0.9778, Acc.floor: 0.9208, Acc.tree: 0.8959, Acc.ceiling: 0.9392, Acc.road: 0.9173, Acc.bed : 0.9715, Acc.windowpane: 0.8159, Acc.grass: 0.8128, Acc.cabinet: 0.7570, Acc.sidewalk: 0.8490, Acc.person: 0.9251, Acc.earth: 0.5347, Acc.door: 0.7681, Acc.table: 0.8146, Acc.mountain: 0.7323, Acc.plant: 0.6802, Acc.curtain: 0.8910, Acc.chair: 0.7779, Acc.car: 0.9354, Acc.water: 0.7814, Acc.painting: 0.8905, Acc.sofa: 0.8859, Acc.shelf: 0.6393, Acc.house: 0.6205, Acc.sea: 0.8676, Acc.mirror: 0.8659, Acc.rug: 0.7617, Acc.field: 0.5565, Acc.armchair: 0.8202, Acc.seat: 0.8652, Acc.fence: 0.6431, Acc.desk: 0.7801, Acc.rock: 0.8456, Acc.wardrobe: 0.7122, Acc.lamp: 0.8057, Acc.bathtub: 0.9246, Acc.railing: 0.5701, Acc.cushion: 0.7970, Acc.base: 0.5118, Acc.box: 0.4930, Acc.column: 0.6252, Acc.signboard: 0.5274, Acc.chest of drawers: 0.7381, Acc.counter: 0.4651, Acc.sand: 0.8694, Acc.sink: 0.8735, Acc.skyscraper: 0.5497, Acc.fireplace: 0.8977, Acc.refrigerator: 0.9470, Acc.grandstand: 0.7971, Acc.path: 0.3691, Acc.stairs: 0.3576, Acc.runway: 0.9284, Acc.case: 0.8193, Acc.pool table: 0.9730, Acc.pillow: 0.7414, Acc.screen door: 0.7739, Acc.stairway: 0.5471, Acc.river: 0.2459, Acc.bridge: 0.8558, Acc.bookcase: 0.5851, Acc.blind: 0.4327, Acc.coffee table: 0.8365, Acc.toilet: 0.9367, Acc.flower: 0.5781, Acc.book: 0.7399, Acc.hill: 0.2008, Acc.bench: 0.6103, Acc.countertop: 0.7993, Acc.stove: 0.9259, Acc.palm: 0.7587, Acc.kitchen island: 0.7931, Acc.computer: 0.8814, Acc.swivel chair: 0.6116, Acc.boat: 0.9085, Acc.bar: 0.8034, Acc.arcade machine: 0.7262, Acc.hovel: 0.2836, Acc.bus: 0.9691, Acc.towel: 0.8360, Acc.light: 0.5535, Acc.truck: 0.6302, Acc.tower: 0.3292, Acc.chandelier: 0.8028, Acc.awning: 0.4153, Acc.streetlight: 0.3567, Acc.booth: 0.6990, Acc.television receiver: 0.8810, Acc.airplane: 0.9274, Acc.dirt track: 0.5097, Acc.apparel: 0.7302, Acc.pole: 0.3136, Acc.land: 0.0636, Acc.bannister: 0.1767, Acc.escalator: 0.7958, Acc.ottoman: 0.6528, Acc.bottle: 0.6871, Acc.buffet: 0.6603, Acc.poster: 0.4967, Acc.stage: 0.2607, Acc.van: 0.7034, Acc.ship: 0.7131, Acc.fountain: 0.3794, Acc.conveyer belt: 0.9428, Acc.canopy: 0.5867, Acc.washer: 0.9161, Acc.plaything: 0.4923, Acc.swimming pool: 0.7589, Acc.stool: 0.6557, Acc.barrel: 0.8503, Acc.basket: 0.5315, Acc.waterfall: 0.5741, Acc.tent: 0.9838, Acc.bag: 0.2888, Acc.minibike: 0.8572, Acc.cradle: 0.9773, Acc.oven: 0.7143, Acc.ball: 0.6283, Acc.food: 0.7310, Acc.step: 0.1418, Acc.tank: 0.6591, Acc.trade name: 0.2653, Acc.microwave: 0.9552, Acc.pot: 0.6754, Acc.animal: 0.7187, Acc.bicycle: 0.7493, Acc.lake: 0.6387, Acc.dishwasher: 0.8209, Acc.screen: 0.8979, Acc.blanket: 0.3021, Acc.sculpture: 0.8789, Acc.hood: 0.7291, Acc.sconce: 0.6502, Acc.vase: 0.6184, Acc.traffic light: 0.5105, Acc.tray: 0.2995, Acc.ashcan: 0.6586, Acc.fan: 0.7424, Acc.pier: 0.4547, Acc.crt screen: 0.1758, Acc.plate: 0.7910, Acc.monitor: 0.3781, Acc.bulletin board: 0.6705, Acc.shower: 0.1850, Acc.radiator: 0.7518, Acc.glass: 0.2261, Acc.clock: 0.6262, Acc.flag: 0.7801 2023-11-03 02:24:10,543 - mmseg - INFO - Iter [66050/80000] lr: 5.650e-07, eta: 5:09:59, time: 2.398, data_time: 1.190, memory: 38534, decode.loss_ce: 0.1418, decode.acc_seg: 93.6540, loss: 0.1418 2023-11-03 02:25:11,315 - mmseg - INFO - Iter [66100/80000] lr: 5.630e-07, eta: 5:08:51, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1495, decode.acc_seg: 93.3992, loss: 0.1495 2023-11-03 02:26:12,011 - mmseg - INFO - Iter [66150/80000] lr: 5.609e-07, eta: 5:07:43, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1449, decode.acc_seg: 93.6980, loss: 0.1449 2023-11-03 02:27:12,771 - mmseg - INFO - Iter [66200/80000] lr: 5.589e-07, eta: 5:06:35, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1394, decode.acc_seg: 93.7270, loss: 0.1394 2023-11-03 02:28:13,545 - mmseg - INFO - Iter [66250/80000] lr: 5.569e-07, eta: 5:05:28, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1450, decode.acc_seg: 93.7024, loss: 0.1450 2023-11-03 02:29:14,298 - mmseg - INFO - Iter [66300/80000] lr: 5.549e-07, eta: 5:04:20, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1333, decode.acc_seg: 94.0203, loss: 0.1333 2023-11-03 02:30:15,035 - mmseg - INFO - Iter [66350/80000] lr: 5.528e-07, eta: 5:03:12, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1371, decode.acc_seg: 94.1023, loss: 0.1371 2023-11-03 02:31:15,766 - mmseg - INFO - Iter [66400/80000] lr: 5.508e-07, eta: 5:02:04, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1371, decode.acc_seg: 94.0376, loss: 0.1371 2023-11-03 02:32:16,456 - mmseg - INFO - Iter [66450/80000] lr: 5.488e-07, eta: 5:00:56, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1401, decode.acc_seg: 93.9468, loss: 0.1401 2023-11-03 02:33:17,166 - mmseg - INFO - Iter [66500/80000] lr: 5.468e-07, eta: 4:59:48, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1473, decode.acc_seg: 93.6660, loss: 0.1473 2023-11-03 02:34:17,915 - mmseg - INFO - Iter [66550/80000] lr: 5.447e-07, eta: 4:58:41, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1510, decode.acc_seg: 93.6683, loss: 0.1510 2023-11-03 02:35:18,659 - mmseg - INFO - Iter [66600/80000] lr: 5.427e-07, eta: 4:57:33, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1486, decode.acc_seg: 93.7243, loss: 0.1486 2023-11-03 02:36:19,377 - mmseg - INFO - Iter [66650/80000] lr: 5.407e-07, eta: 4:56:25, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1373, decode.acc_seg: 93.8380, loss: 0.1373 2023-11-03 02:37:20,060 - mmseg - INFO - Iter [66700/80000] lr: 5.387e-07, eta: 4:55:17, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1452, decode.acc_seg: 93.7941, loss: 0.1452 2023-11-03 02:38:20,748 - mmseg - INFO - Iter [66750/80000] lr: 5.366e-07, eta: 4:54:09, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1450, decode.acc_seg: 93.7763, loss: 0.1450 2023-11-03 02:39:21,460 - mmseg - INFO - Iter [66800/80000] lr: 5.346e-07, eta: 4:53:02, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1439, decode.acc_seg: 93.7387, loss: 0.1439 2023-11-03 02:40:22,117 - mmseg - INFO - Iter [66850/80000] lr: 5.326e-07, eta: 4:51:54, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1436, decode.acc_seg: 93.8048, loss: 0.1436 2023-11-03 02:41:22,848 - mmseg - INFO - Iter [66900/80000] lr: 5.306e-07, eta: 4:50:46, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1433, decode.acc_seg: 93.8703, loss: 0.1433 2023-11-03 02:42:25,953 - mmseg - INFO - Iter [66950/80000] lr: 5.285e-07, eta: 4:49:39, time: 1.262, data_time: 0.051, memory: 38534, decode.loss_ce: 0.1434, decode.acc_seg: 93.8400, loss: 0.1434 2023-11-03 02:43:26,609 - mmseg - INFO - Saving checkpoint at 67000 iterations 2023-11-03 02:44:21,731 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-03 02:44:21,732 - mmseg - INFO - Iter [67000/80000] lr: 5.265e-07, eta: 4:48:42, time: 2.316, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1456, decode.acc_seg: 93.7203, loss: 0.1456 2023-11-03 02:45:20,757 - mmseg - INFO - per class results: 2023-11-03 02:45:20,762 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 81.29 | 89.7 | | building | 84.31 | 93.93 | | sky | 94.62 | 97.48 | | floor | 84.32 | 91.79 | | tree | 77.11 | 89.3 | | ceiling | 87.03 | 94.49 | | road | 86.45 | 92.0 | | bed | 92.1 | 97.05 | | windowpane | 66.77 | 81.69 | | grass | 68.07 | 81.74 | | cabinet | 66.75 | 76.91 | | sidewalk | 70.66 | 84.58 | | person | 83.76 | 91.81 | | earth | 40.76 | 55.0 | | door | 61.17 | 74.9 | | table | 70.19 | 81.51 | | mountain | 62.57 | 74.13 | | plant | 54.9 | 69.56 | | curtain | 77.15 | 88.12 | | chair | 64.13 | 77.41 | | car | 87.2 | 93.01 | | water | 62.36 | 78.4 | | painting | 77.48 | 88.95 | | sofa | 83.29 | 92.1 | | shelf | 47.37 | 61.99 | | house | 47.48 | 57.03 | | sea | 74.04 | 87.42 | | mirror | 78.8 | 88.46 | | rug | 65.87 | 76.39 | | field | 30.03 | 47.44 | | armchair | 65.45 | 78.54 | | seat | 62.38 | 89.64 | | fence | 51.54 | 69.09 | | desk | 58.64 | 78.79 | | rock | 56.19 | 85.69 | | wardrobe | 53.95 | 72.43 | | lamp | 71.72 | 81.35 | | bathtub | 88.9 | 92.53 | | railing | 40.31 | 55.83 | | cushion | 65.41 | 79.74 | | base | 39.24 | 52.27 | | box | 40.42 | 50.1 | | column | 52.18 | 63.32 | | signboard | 39.74 | 54.1 | | chest of drawers | 48.98 | 73.18 | | counter | 36.48 | 46.06 | | sand | 60.08 | 86.94 | | sink | 80.61 | 86.19 | | skyscraper | 43.36 | 55.88 | | fireplace | 74.1 | 90.52 | | refrigerator | 86.48 | 93.79 | | grandstand | 51.91 | 82.98 | | path | 22.74 | 29.51 | | stairs | 29.3 | 36.53 | | runway | 71.1 | 91.16 | | case | 59.34 | 82.89 | | pool table | 94.39 | 97.26 | | pillow | 62.16 | 72.67 | | screen door | 77.61 | 78.96 | | stairway | 38.81 | 52.77 | | river | 12.46 | 22.34 | | bridge | 77.2 | 85.56 | | bookcase | 42.1 | 58.52 | | blind | 41.31 | 45.43 | | coffee table | 61.81 | 84.81 | | toilet | 90.15 | 93.65 | | flower | 43.73 | 61.15 | | book | 51.64 | 73.89 | | hill | 15.47 | 23.31 | | bench | 53.81 | 60.24 | | countertop | 65.14 | 80.98 | | stove | 86.37 | 93.03 | | palm | 53.54 | 78.78 | | kitchen island | 58.26 | 76.62 | | computer | 77.13 | 88.73 | | swivel chair | 46.41 | 66.06 | | boat | 80.35 | 91.18 | | bar | 60.8 | 87.01 | | arcade machine | 69.4 | 71.37 | | hovel | 24.99 | 26.97 | | bus | 92.99 | 96.7 | | towel | 75.49 | 85.08 | | light | 49.68 | 58.95 | | truck | 51.78 | 63.78 | | tower | 31.09 | 46.27 | | chandelier | 70.26 | 83.0 | | awning | 34.76 | 43.65 | | streetlight | 27.51 | 35.68 | | booth | 63.3 | 71.28 | | television receiver | 75.12 | 88.63 | | airplane | 84.76 | 89.79 | | dirt track | 28.21 | 52.74 | | apparel | 48.76 | 60.97 | | pole | 21.53 | 29.85 | | land | 3.39 | 4.64 | | bannister | 14.32 | 18.79 | | escalator | 63.65 | 77.94 | | ottoman | 52.98 | 66.82 | | bottle | 42.46 | 60.9 | | buffet | 56.1 | 63.25 | | poster | 38.25 | 46.13 | | stage | 21.6 | 36.02 | | van | 53.1 | 72.93 | | ship | 75.24 | 78.89 | | fountain | 39.8 | 40.37 | | conveyer belt | 78.41 | 94.35 | | canopy | 44.74 | 58.44 | | washer | 85.58 | 90.16 | | plaything | 33.68 | 50.11 | | swimming pool | 62.69 | 78.06 | | stool | 49.28 | 62.66 | | barrel | 64.62 | 84.5 | | basket | 41.13 | 52.9 | | waterfall | 47.9 | 58.74 | | tent | 96.24 | 98.53 | | bag | 24.47 | 27.29 | | minibike | 73.44 | 86.76 | | cradle | 84.13 | 98.12 | | oven | 64.88 | 75.81 | | ball | 63.72 | 72.5 | | food | 61.21 | 70.65 | | step | 13.94 | 16.12 | | tank | 62.51 | 66.04 | | trade name | 25.31 | 27.83 | | microwave | 90.93 | 95.86 | | pot | 58.54 | 66.74 | | animal | 69.72 | 71.97 | | bicycle | 60.25 | 76.31 | | lake | 53.28 | 63.76 | | dishwasher | 74.34 | 83.38 | | screen | 62.51 | 90.46 | | blanket | 26.23 | 30.46 | | sculpture | 76.21 | 88.07 | | hood | 62.56 | 74.04 | | sconce | 55.97 | 70.96 | | vase | 48.14 | 64.64 | | traffic light | 36.67 | 53.39 | | tray | 20.92 | 25.88 | | ashcan | 51.07 | 64.93 | | fan | 63.99 | 75.92 | | pier | 39.41 | 46.12 | | crt screen | 6.02 | 12.26 | | plate | 60.98 | 77.77 | | monitor | 36.7 | 42.54 | | bulletin board | 55.29 | 69.88 | | shower | 14.14 | 20.57 | | radiator | 63.93 | 76.87 | | glass | 18.97 | 20.77 | | clock | 49.95 | 63.52 | | flag | 68.13 | 74.75 | +---------------------+-------+-------+ 2023-11-03 02:45:20,762 - mmseg - INFO - Summary: 2023-11-03 02:45:20,762 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 85.92 | 57.22 | 68.86 | +-------+-------+-------+ 2023-11-03 02:45:20,763 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-03 02:45:20,763 - mmseg - INFO - Iter(val) [250] aAcc: 0.8592, mIoU: 0.5722, mAcc: 0.6886, IoU.wall: 0.8129, IoU.building: 0.8431, IoU.sky: 0.9462, IoU.floor: 0.8432, IoU.tree: 0.7711, IoU.ceiling: 0.8703, IoU.road: 0.8645, IoU.bed : 0.9210, IoU.windowpane: 0.6677, IoU.grass: 0.6807, IoU.cabinet: 0.6675, IoU.sidewalk: 0.7066, IoU.person: 0.8376, IoU.earth: 0.4076, IoU.door: 0.6117, IoU.table: 0.7019, IoU.mountain: 0.6257, IoU.plant: 0.5490, IoU.curtain: 0.7715, IoU.chair: 0.6413, IoU.car: 0.8720, IoU.water: 0.6236, IoU.painting: 0.7748, IoU.sofa: 0.8329, IoU.shelf: 0.4737, IoU.house: 0.4748, IoU.sea: 0.7404, IoU.mirror: 0.7880, IoU.rug: 0.6587, IoU.field: 0.3003, IoU.armchair: 0.6545, IoU.seat: 0.6238, IoU.fence: 0.5154, IoU.desk: 0.5864, IoU.rock: 0.5619, IoU.wardrobe: 0.5395, IoU.lamp: 0.7172, IoU.bathtub: 0.8890, IoU.railing: 0.4031, IoU.cushion: 0.6541, IoU.base: 0.3924, IoU.box: 0.4042, IoU.column: 0.5218, IoU.signboard: 0.3974, IoU.chest of drawers: 0.4898, IoU.counter: 0.3648, IoU.sand: 0.6008, IoU.sink: 0.8061, IoU.skyscraper: 0.4336, IoU.fireplace: 0.7410, IoU.refrigerator: 0.8648, IoU.grandstand: 0.5191, IoU.path: 0.2274, IoU.stairs: 0.2930, IoU.runway: 0.7110, IoU.case: 0.5934, IoU.pool table: 0.9439, IoU.pillow: 0.6216, IoU.screen door: 0.7761, IoU.stairway: 0.3881, IoU.river: 0.1246, IoU.bridge: 0.7720, IoU.bookcase: 0.4210, IoU.blind: 0.4131, IoU.coffee table: 0.6181, IoU.toilet: 0.9015, IoU.flower: 0.4373, IoU.book: 0.5164, IoU.hill: 0.1547, IoU.bench: 0.5381, IoU.countertop: 0.6514, IoU.stove: 0.8637, IoU.palm: 0.5354, IoU.kitchen island: 0.5826, IoU.computer: 0.7713, IoU.swivel chair: 0.4641, IoU.boat: 0.8035, IoU.bar: 0.6080, IoU.arcade machine: 0.6940, IoU.hovel: 0.2499, IoU.bus: 0.9299, IoU.towel: 0.7549, IoU.light: 0.4968, IoU.truck: 0.5178, IoU.tower: 0.3109, IoU.chandelier: 0.7026, IoU.awning: 0.3476, IoU.streetlight: 0.2751, IoU.booth: 0.6330, IoU.television receiver: 0.7512, IoU.airplane: 0.8476, IoU.dirt track: 0.2821, IoU.apparel: 0.4876, IoU.pole: 0.2153, IoU.land: 0.0339, IoU.bannister: 0.1432, IoU.escalator: 0.6365, IoU.ottoman: 0.5298, IoU.bottle: 0.4246, IoU.buffet: 0.5610, IoU.poster: 0.3825, IoU.stage: 0.2160, IoU.van: 0.5310, IoU.ship: 0.7524, IoU.fountain: 0.3980, IoU.conveyer belt: 0.7841, IoU.canopy: 0.4474, IoU.washer: 0.8558, IoU.plaything: 0.3368, IoU.swimming pool: 0.6269, IoU.stool: 0.4928, IoU.barrel: 0.6462, IoU.basket: 0.4113, IoU.waterfall: 0.4790, IoU.tent: 0.9624, IoU.bag: 0.2447, IoU.minibike: 0.7344, IoU.cradle: 0.8413, IoU.oven: 0.6488, IoU.ball: 0.6372, IoU.food: 0.6121, IoU.step: 0.1394, IoU.tank: 0.6251, IoU.trade name: 0.2531, IoU.microwave: 0.9093, IoU.pot: 0.5854, IoU.animal: 0.6972, IoU.bicycle: 0.6025, IoU.lake: 0.5328, IoU.dishwasher: 0.7434, IoU.screen: 0.6251, IoU.blanket: 0.2623, IoU.sculpture: 0.7621, IoU.hood: 0.6256, IoU.sconce: 0.5597, IoU.vase: 0.4814, IoU.traffic light: 0.3667, IoU.tray: 0.2092, IoU.ashcan: 0.5107, IoU.fan: 0.6399, IoU.pier: 0.3941, IoU.crt screen: 0.0602, IoU.plate: 0.6098, IoU.monitor: 0.3670, IoU.bulletin board: 0.5529, IoU.shower: 0.1414, IoU.radiator: 0.6393, IoU.glass: 0.1897, IoU.clock: 0.4995, IoU.flag: 0.6813, Acc.wall: 0.8970, Acc.building: 0.9393, Acc.sky: 0.9748, Acc.floor: 0.9179, Acc.tree: 0.8930, Acc.ceiling: 0.9449, Acc.road: 0.9200, Acc.bed : 0.9705, Acc.windowpane: 0.8169, Acc.grass: 0.8174, Acc.cabinet: 0.7691, Acc.sidewalk: 0.8458, Acc.person: 0.9181, Acc.earth: 0.5500, Acc.door: 0.7490, Acc.table: 0.8151, Acc.mountain: 0.7413, Acc.plant: 0.6956, Acc.curtain: 0.8812, Acc.chair: 0.7741, Acc.car: 0.9301, Acc.water: 0.7840, Acc.painting: 0.8895, Acc.sofa: 0.9210, Acc.shelf: 0.6199, Acc.house: 0.5703, Acc.sea: 0.8742, Acc.mirror: 0.8846, Acc.rug: 0.7639, Acc.field: 0.4744, Acc.armchair: 0.7854, Acc.seat: 0.8964, Acc.fence: 0.6909, Acc.desk: 0.7879, Acc.rock: 0.8569, Acc.wardrobe: 0.7243, Acc.lamp: 0.8135, Acc.bathtub: 0.9253, Acc.railing: 0.5583, Acc.cushion: 0.7974, Acc.base: 0.5227, Acc.box: 0.5010, Acc.column: 0.6332, Acc.signboard: 0.5410, Acc.chest of drawers: 0.7318, Acc.counter: 0.4606, Acc.sand: 0.8694, Acc.sink: 0.8619, Acc.skyscraper: 0.5588, Acc.fireplace: 0.9052, Acc.refrigerator: 0.9379, Acc.grandstand: 0.8298, Acc.path: 0.2951, Acc.stairs: 0.3653, Acc.runway: 0.9116, Acc.case: 0.8289, Acc.pool table: 0.9726, Acc.pillow: 0.7267, Acc.screen door: 0.7896, Acc.stairway: 0.5277, Acc.river: 0.2234, Acc.bridge: 0.8556, Acc.bookcase: 0.5852, Acc.blind: 0.4543, Acc.coffee table: 0.8481, Acc.toilet: 0.9365, Acc.flower: 0.6115, Acc.book: 0.7389, Acc.hill: 0.2331, Acc.bench: 0.6024, Acc.countertop: 0.8098, Acc.stove: 0.9303, Acc.palm: 0.7878, Acc.kitchen island: 0.7662, Acc.computer: 0.8873, Acc.swivel chair: 0.6606, Acc.boat: 0.9118, Acc.bar: 0.8701, Acc.arcade machine: 0.7137, Acc.hovel: 0.2697, Acc.bus: 0.9670, Acc.towel: 0.8508, Acc.light: 0.5895, Acc.truck: 0.6378, Acc.tower: 0.4627, Acc.chandelier: 0.8300, Acc.awning: 0.4365, Acc.streetlight: 0.3568, Acc.booth: 0.7128, Acc.television receiver: 0.8863, Acc.airplane: 0.8979, Acc.dirt track: 0.5274, Acc.apparel: 0.6097, Acc.pole: 0.2985, Acc.land: 0.0464, Acc.bannister: 0.1879, Acc.escalator: 0.7794, Acc.ottoman: 0.6682, Acc.bottle: 0.6090, Acc.buffet: 0.6325, Acc.poster: 0.4613, Acc.stage: 0.3602, Acc.van: 0.7293, Acc.ship: 0.7889, Acc.fountain: 0.4037, Acc.conveyer belt: 0.9435, Acc.canopy: 0.5844, Acc.washer: 0.9016, Acc.plaything: 0.5011, Acc.swimming pool: 0.7806, Acc.stool: 0.6266, Acc.barrel: 0.8450, Acc.basket: 0.5290, Acc.waterfall: 0.5874, Acc.tent: 0.9853, Acc.bag: 0.2729, Acc.minibike: 0.8676, Acc.cradle: 0.9812, Acc.oven: 0.7581, Acc.ball: 0.7250, Acc.food: 0.7065, Acc.step: 0.1612, Acc.tank: 0.6604, Acc.trade name: 0.2783, Acc.microwave: 0.9586, Acc.pot: 0.6674, Acc.animal: 0.7197, Acc.bicycle: 0.7631, Acc.lake: 0.6376, Acc.dishwasher: 0.8338, Acc.screen: 0.9046, Acc.blanket: 0.3046, Acc.sculpture: 0.8807, Acc.hood: 0.7404, Acc.sconce: 0.7096, Acc.vase: 0.6464, Acc.traffic light: 0.5339, Acc.tray: 0.2588, Acc.ashcan: 0.6493, Acc.fan: 0.7592, Acc.pier: 0.4612, Acc.crt screen: 0.1226, Acc.plate: 0.7777, Acc.monitor: 0.4254, Acc.bulletin board: 0.6988, Acc.shower: 0.2057, Acc.radiator: 0.7687, Acc.glass: 0.2077, Acc.clock: 0.6352, Acc.flag: 0.7475 2023-11-03 02:46:21,596 - mmseg - INFO - Iter [67050/80000] lr: 5.245e-07, eta: 4:47:45, time: 2.397, data_time: 1.188, memory: 38534, decode.loss_ce: 0.1417, decode.acc_seg: 93.7945, loss: 0.1417 2023-11-03 02:47:22,347 - mmseg - INFO - Iter [67100/80000] lr: 5.225e-07, eta: 4:46:38, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1465, decode.acc_seg: 93.8918, loss: 0.1465 2023-11-03 02:48:23,009 - mmseg - INFO - Iter [67150/80000] lr: 5.204e-07, eta: 4:45:30, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1506, decode.acc_seg: 93.3805, loss: 0.1506 2023-11-03 02:49:23,649 - mmseg - INFO - Iter [67200/80000] lr: 5.184e-07, eta: 4:44:22, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1467, decode.acc_seg: 93.6211, loss: 0.1467 2023-11-03 02:50:24,320 - mmseg - INFO - Iter [67250/80000] lr: 5.164e-07, eta: 4:43:14, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1380, decode.acc_seg: 93.8594, loss: 0.1380 2023-11-03 02:51:24,978 - mmseg - INFO - Iter [67300/80000] lr: 5.144e-07, eta: 4:42:06, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1410, decode.acc_seg: 93.8008, loss: 0.1410 2023-11-03 02:52:25,622 - mmseg - INFO - Iter [67350/80000] lr: 5.123e-07, eta: 4:40:59, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1397, decode.acc_seg: 93.9105, loss: 0.1397 2023-11-03 02:53:26,291 - mmseg - INFO - Iter [67400/80000] lr: 5.103e-07, eta: 4:39:51, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1406, decode.acc_seg: 93.9961, loss: 0.1406 2023-11-03 02:54:26,938 - mmseg - INFO - Iter [67450/80000] lr: 5.083e-07, eta: 4:38:43, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1457, decode.acc_seg: 93.8405, loss: 0.1457 2023-11-03 02:55:27,612 - mmseg - INFO - Iter [67500/80000] lr: 5.063e-07, eta: 4:37:35, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1487, decode.acc_seg: 93.5081, loss: 0.1487 2023-11-03 02:56:28,299 - mmseg - INFO - Iter [67550/80000] lr: 5.042e-07, eta: 4:36:28, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1433, decode.acc_seg: 93.8394, loss: 0.1433 2023-11-03 02:57:28,944 - mmseg - INFO - Iter [67600/80000] lr: 5.022e-07, eta: 4:35:20, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1423, decode.acc_seg: 93.9349, loss: 0.1423 2023-11-03 02:58:29,674 - mmseg - INFO - Iter [67650/80000] lr: 5.002e-07, eta: 4:34:12, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1410, decode.acc_seg: 93.9999, loss: 0.1410 2023-11-03 02:59:30,393 - mmseg - INFO - Iter [67700/80000] lr: 4.982e-07, eta: 4:33:05, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1436, decode.acc_seg: 93.7818, loss: 0.1436 2023-11-03 03:00:31,074 - mmseg - INFO - Iter [67750/80000] lr: 4.961e-07, eta: 4:31:57, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1426, decode.acc_seg: 93.6666, loss: 0.1426 2023-11-03 03:01:31,721 - mmseg - INFO - Iter [67800/80000] lr: 4.941e-07, eta: 4:30:49, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1339, decode.acc_seg: 94.1072, loss: 0.1339 2023-11-03 03:02:32,407 - mmseg - INFO - Iter [67850/80000] lr: 4.921e-07, eta: 4:29:42, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1366, decode.acc_seg: 93.9265, loss: 0.1366 2023-11-03 03:03:33,072 - mmseg - INFO - Iter [67900/80000] lr: 4.901e-07, eta: 4:28:34, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1385, decode.acc_seg: 93.8940, loss: 0.1385 2023-11-03 03:04:33,735 - mmseg - INFO - Iter [67950/80000] lr: 4.880e-07, eta: 4:27:26, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1406, decode.acc_seg: 93.8627, loss: 0.1406 2023-11-03 03:05:34,423 - mmseg - INFO - Saving checkpoint at 68000 iterations 2023-11-03 03:06:32,587 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-03 03:06:32,587 - mmseg - INFO - Iter [68000/80000] lr: 4.860e-07, eta: 4:26:29, time: 2.377, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1445, decode.acc_seg: 93.7184, loss: 0.1445 2023-11-03 03:07:32,736 - mmseg - INFO - per class results: 2023-11-03 03:07:32,742 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 81.27 | 89.73 | | building | 84.37 | 94.25 | | sky | 94.67 | 97.44 | | floor | 84.41 | 91.79 | | tree | 77.01 | 89.5 | | ceiling | 87.02 | 93.98 | | road | 86.84 | 92.09 | | bed | 92.15 | 97.27 | | windowpane | 66.5 | 80.92 | | grass | 68.82 | 82.52 | | cabinet | 66.01 | 75.76 | | sidewalk | 70.26 | 83.2 | | person | 83.68 | 92.97 | | earth | 41.87 | 55.69 | | door | 61.38 | 75.1 | | table | 70.49 | 81.92 | | mountain | 63.18 | 74.68 | | plant | 54.78 | 66.81 | | curtain | 77.58 | 89.62 | | chair | 63.56 | 75.5 | | car | 87.09 | 93.2 | | water | 58.96 | 73.66 | | painting | 78.11 | 89.04 | | sofa | 83.99 | 92.04 | | shelf | 47.79 | 64.97 | | house | 51.55 | 62.64 | | sea | 68.66 | 91.5 | | mirror | 77.18 | 86.32 | | rug | 66.57 | 76.41 | | field | 31.74 | 55.25 | | armchair | 65.36 | 80.85 | | seat | 64.32 | 87.94 | | fence | 52.98 | 67.32 | | desk | 58.35 | 79.72 | | rock | 56.03 | 83.08 | | wardrobe | 53.16 | 71.11 | | lamp | 71.99 | 82.16 | | bathtub | 87.4 | 90.34 | | railing | 40.75 | 55.44 | | cushion | 65.59 | 78.35 | | base | 38.34 | 50.17 | | box | 40.33 | 48.45 | | column | 51.36 | 60.96 | | signboard | 39.16 | 52.6 | | chest of drawers | 50.32 | 76.99 | | counter | 38.38 | 48.99 | | sand | 60.45 | 86.25 | | sink | 81.73 | 88.27 | | skyscraper | 43.46 | 55.63 | | fireplace | 72.91 | 91.51 | | refrigerator | 85.92 | 94.27 | | grandstand | 51.05 | 82.54 | | path | 23.24 | 29.63 | | stairs | 29.19 | 35.5 | | runway | 75.35 | 96.91 | | case | 59.47 | 82.33 | | pool table | 94.29 | 97.69 | | pillow | 63.12 | 74.91 | | screen door | 79.78 | 81.24 | | stairway | 41.36 | 57.11 | | river | 15.66 | 23.16 | | bridge | 77.43 | 85.76 | | bookcase | 40.76 | 58.36 | | blind | 41.71 | 46.31 | | coffee table | 63.64 | 83.46 | | toilet | 90.18 | 93.33 | | flower | 42.5 | 58.96 | | book | 50.85 | 74.56 | | hill | 14.99 | 23.01 | | bench | 54.06 | 60.53 | | countertop | 65.06 | 81.72 | | stove | 86.52 | 93.1 | | palm | 52.73 | 75.51 | | kitchen island | 52.8 | 83.21 | | computer | 77.16 | 88.15 | | swivel chair | 44.69 | 69.12 | | boat | 79.66 | 90.35 | | bar | 61.95 | 83.74 | | arcade machine | 73.56 | 76.08 | | hovel | 21.64 | 23.08 | | bus | 93.18 | 96.83 | | towel | 77.32 | 85.31 | | light | 47.77 | 54.8 | | truck | 53.12 | 63.69 | | tower | 32.27 | 49.04 | | chandelier | 70.58 | 81.41 | | awning | 33.07 | 40.41 | | streetlight | 27.88 | 36.14 | | booth | 61.75 | 73.58 | | television receiver | 74.81 | 88.54 | | airplane | 85.13 | 91.04 | | dirt track | 26.69 | 52.38 | | apparel | 53.98 | 71.27 | | pole | 19.35 | 28.3 | | land | 4.99 | 7.55 | | bannister | 14.23 | 18.23 | | escalator | 65.86 | 84.01 | | ottoman | 54.83 | 70.96 | | bottle | 42.75 | 57.18 | | buffet | 59.4 | 67.52 | | poster | 38.4 | 46.75 | | stage | 22.48 | 36.96 | | van | 53.14 | 72.41 | | ship | 75.11 | 77.7 | | fountain | 36.9 | 37.06 | | conveyer belt | 78.18 | 94.63 | | canopy | 46.98 | 61.49 | | washer | 89.69 | 95.02 | | plaything | 34.75 | 48.66 | | swimming pool | 59.21 | 79.14 | | stool | 50.38 | 62.95 | | barrel | 64.53 | 87.63 | | basket | 39.21 | 49.79 | | waterfall | 47.79 | 58.67 | | tent | 96.49 | 97.96 | | bag | 24.71 | 26.82 | | minibike | 73.87 | 84.69 | | cradle | 85.68 | 98.1 | | oven | 65.64 | 77.61 | | ball | 62.2 | 69.74 | | food | 60.9 | 71.06 | | step | 10.99 | 12.62 | | tank | 62.4 | 66.24 | | trade name | 26.15 | 29.37 | | microwave | 90.89 | 95.72 | | pot | 58.88 | 67.07 | | animal | 71.6 | 74.09 | | bicycle | 60.34 | 76.9 | | lake | 53.2 | 63.76 | | dishwasher | 73.86 | 82.63 | | screen | 59.42 | 85.58 | | blanket | 28.89 | 33.17 | | sculpture | 75.28 | 88.13 | | hood | 62.62 | 73.73 | | sconce | 53.61 | 64.91 | | vase | 47.99 | 63.23 | | traffic light | 36.18 | 55.99 | | tray | 22.26 | 27.51 | | ashcan | 50.46 | 63.86 | | fan | 64.68 | 78.25 | | pier | 40.16 | 44.31 | | crt screen | 5.92 | 12.97 | | plate | 61.53 | 74.13 | | monitor | 32.56 | 37.74 | | bulletin board | 57.1 | 69.03 | | shower | 10.85 | 19.16 | | radiator | 63.72 | 76.23 | | glass | 18.71 | 20.14 | | clock | 48.24 | 61.31 | | flag | 67.77 | 75.22 | +---------------------+-------+-------+ 2023-11-03 03:07:32,742 - mmseg - INFO - Summary: 2023-11-03 03:07:32,742 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 85.97 | 57.28 | 69.01 | +-------+-------+-------+ 2023-11-03 03:07:32,743 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-03 03:07:32,743 - mmseg - INFO - Iter(val) [250] aAcc: 0.8597, mIoU: 0.5728, mAcc: 0.6901, IoU.wall: 0.8127, IoU.building: 0.8437, IoU.sky: 0.9467, IoU.floor: 0.8441, IoU.tree: 0.7701, IoU.ceiling: 0.8702, IoU.road: 0.8684, IoU.bed : 0.9215, IoU.windowpane: 0.6650, IoU.grass: 0.6882, IoU.cabinet: 0.6601, IoU.sidewalk: 0.7026, IoU.person: 0.8368, IoU.earth: 0.4187, IoU.door: 0.6138, IoU.table: 0.7049, IoU.mountain: 0.6318, IoU.plant: 0.5478, IoU.curtain: 0.7758, IoU.chair: 0.6356, IoU.car: 0.8709, IoU.water: 0.5896, IoU.painting: 0.7811, IoU.sofa: 0.8399, IoU.shelf: 0.4779, IoU.house: 0.5155, IoU.sea: 0.6866, IoU.mirror: 0.7718, IoU.rug: 0.6657, IoU.field: 0.3174, IoU.armchair: 0.6536, IoU.seat: 0.6432, IoU.fence: 0.5298, IoU.desk: 0.5835, IoU.rock: 0.5603, IoU.wardrobe: 0.5316, IoU.lamp: 0.7199, IoU.bathtub: 0.8740, IoU.railing: 0.4075, IoU.cushion: 0.6559, IoU.base: 0.3834, IoU.box: 0.4033, IoU.column: 0.5136, IoU.signboard: 0.3916, IoU.chest of drawers: 0.5032, IoU.counter: 0.3838, IoU.sand: 0.6045, IoU.sink: 0.8173, IoU.skyscraper: 0.4346, IoU.fireplace: 0.7291, IoU.refrigerator: 0.8592, IoU.grandstand: 0.5105, IoU.path: 0.2324, IoU.stairs: 0.2919, IoU.runway: 0.7535, IoU.case: 0.5947, IoU.pool table: 0.9429, IoU.pillow: 0.6312, IoU.screen door: 0.7978, IoU.stairway: 0.4136, IoU.river: 0.1566, IoU.bridge: 0.7743, IoU.bookcase: 0.4076, IoU.blind: 0.4171, IoU.coffee table: 0.6364, IoU.toilet: 0.9018, IoU.flower: 0.4250, IoU.book: 0.5085, IoU.hill: 0.1499, IoU.bench: 0.5406, IoU.countertop: 0.6506, IoU.stove: 0.8652, IoU.palm: 0.5273, IoU.kitchen island: 0.5280, IoU.computer: 0.7716, IoU.swivel chair: 0.4469, IoU.boat: 0.7966, IoU.bar: 0.6195, IoU.arcade machine: 0.7356, IoU.hovel: 0.2164, IoU.bus: 0.9318, IoU.towel: 0.7732, IoU.light: 0.4777, IoU.truck: 0.5312, IoU.tower: 0.3227, IoU.chandelier: 0.7058, IoU.awning: 0.3307, IoU.streetlight: 0.2788, IoU.booth: 0.6175, IoU.television receiver: 0.7481, IoU.airplane: 0.8513, IoU.dirt track: 0.2669, IoU.apparel: 0.5398, IoU.pole: 0.1935, IoU.land: 0.0499, IoU.bannister: 0.1423, IoU.escalator: 0.6586, IoU.ottoman: 0.5483, IoU.bottle: 0.4275, IoU.buffet: 0.5940, IoU.poster: 0.3840, IoU.stage: 0.2248, IoU.van: 0.5314, IoU.ship: 0.7511, IoU.fountain: 0.3690, IoU.conveyer belt: 0.7818, IoU.canopy: 0.4698, IoU.washer: 0.8969, IoU.plaything: 0.3475, IoU.swimming pool: 0.5921, IoU.stool: 0.5038, IoU.barrel: 0.6453, IoU.basket: 0.3921, IoU.waterfall: 0.4779, IoU.tent: 0.9649, IoU.bag: 0.2471, IoU.minibike: 0.7387, IoU.cradle: 0.8568, IoU.oven: 0.6564, IoU.ball: 0.6220, IoU.food: 0.6090, IoU.step: 0.1099, IoU.tank: 0.6240, IoU.trade name: 0.2615, IoU.microwave: 0.9089, IoU.pot: 0.5888, IoU.animal: 0.7160, IoU.bicycle: 0.6034, IoU.lake: 0.5320, IoU.dishwasher: 0.7386, IoU.screen: 0.5942, IoU.blanket: 0.2889, IoU.sculpture: 0.7528, IoU.hood: 0.6262, IoU.sconce: 0.5361, IoU.vase: 0.4799, IoU.traffic light: 0.3618, IoU.tray: 0.2226, IoU.ashcan: 0.5046, IoU.fan: 0.6468, IoU.pier: 0.4016, IoU.crt screen: 0.0592, IoU.plate: 0.6153, IoU.monitor: 0.3256, IoU.bulletin board: 0.5710, IoU.shower: 0.1085, IoU.radiator: 0.6372, IoU.glass: 0.1871, IoU.clock: 0.4824, IoU.flag: 0.6777, Acc.wall: 0.8973, Acc.building: 0.9425, Acc.sky: 0.9744, Acc.floor: 0.9179, Acc.tree: 0.8950, Acc.ceiling: 0.9398, Acc.road: 0.9209, Acc.bed : 0.9727, Acc.windowpane: 0.8092, Acc.grass: 0.8252, Acc.cabinet: 0.7576, Acc.sidewalk: 0.8320, Acc.person: 0.9297, Acc.earth: 0.5569, Acc.door: 0.7510, Acc.table: 0.8192, Acc.mountain: 0.7468, Acc.plant: 0.6681, Acc.curtain: 0.8962, Acc.chair: 0.7550, Acc.car: 0.9320, Acc.water: 0.7366, Acc.painting: 0.8904, Acc.sofa: 0.9204, Acc.shelf: 0.6497, Acc.house: 0.6264, Acc.sea: 0.9150, Acc.mirror: 0.8632, Acc.rug: 0.7641, Acc.field: 0.5525, Acc.armchair: 0.8085, Acc.seat: 0.8794, Acc.fence: 0.6732, Acc.desk: 0.7972, Acc.rock: 0.8308, Acc.wardrobe: 0.7111, Acc.lamp: 0.8216, Acc.bathtub: 0.9034, Acc.railing: 0.5544, Acc.cushion: 0.7835, Acc.base: 0.5017, Acc.box: 0.4845, Acc.column: 0.6096, Acc.signboard: 0.5260, Acc.chest of drawers: 0.7699, Acc.counter: 0.4899, Acc.sand: 0.8625, Acc.sink: 0.8827, Acc.skyscraper: 0.5563, Acc.fireplace: 0.9151, Acc.refrigerator: 0.9427, Acc.grandstand: 0.8254, Acc.path: 0.2963, Acc.stairs: 0.3550, Acc.runway: 0.9691, Acc.case: 0.8233, Acc.pool table: 0.9769, Acc.pillow: 0.7491, Acc.screen door: 0.8124, Acc.stairway: 0.5711, Acc.river: 0.2316, Acc.bridge: 0.8576, Acc.bookcase: 0.5836, Acc.blind: 0.4631, Acc.coffee table: 0.8346, Acc.toilet: 0.9333, Acc.flower: 0.5896, Acc.book: 0.7456, Acc.hill: 0.2301, Acc.bench: 0.6053, Acc.countertop: 0.8172, Acc.stove: 0.9310, Acc.palm: 0.7551, Acc.kitchen island: 0.8321, Acc.computer: 0.8815, Acc.swivel chair: 0.6912, Acc.boat: 0.9035, Acc.bar: 0.8374, Acc.arcade machine: 0.7608, Acc.hovel: 0.2308, Acc.bus: 0.9683, Acc.towel: 0.8531, Acc.light: 0.5480, Acc.truck: 0.6369, Acc.tower: 0.4904, Acc.chandelier: 0.8141, Acc.awning: 0.4041, Acc.streetlight: 0.3614, Acc.booth: 0.7358, Acc.television receiver: 0.8854, Acc.airplane: 0.9104, Acc.dirt track: 0.5238, Acc.apparel: 0.7127, Acc.pole: 0.2830, Acc.land: 0.0755, Acc.bannister: 0.1823, Acc.escalator: 0.8401, Acc.ottoman: 0.7096, Acc.bottle: 0.5718, Acc.buffet: 0.6752, Acc.poster: 0.4675, Acc.stage: 0.3696, Acc.van: 0.7241, Acc.ship: 0.7770, Acc.fountain: 0.3706, Acc.conveyer belt: 0.9463, Acc.canopy: 0.6149, Acc.washer: 0.9502, Acc.plaything: 0.4866, Acc.swimming pool: 0.7914, Acc.stool: 0.6295, Acc.barrel: 0.8763, Acc.basket: 0.4979, Acc.waterfall: 0.5867, Acc.tent: 0.9796, Acc.bag: 0.2682, Acc.minibike: 0.8469, Acc.cradle: 0.9810, Acc.oven: 0.7761, Acc.ball: 0.6974, Acc.food: 0.7106, Acc.step: 0.1262, Acc.tank: 0.6624, Acc.trade name: 0.2937, Acc.microwave: 0.9572, Acc.pot: 0.6707, Acc.animal: 0.7409, Acc.bicycle: 0.7690, Acc.lake: 0.6376, Acc.dishwasher: 0.8263, Acc.screen: 0.8558, Acc.blanket: 0.3317, Acc.sculpture: 0.8813, Acc.hood: 0.7373, Acc.sconce: 0.6491, Acc.vase: 0.6323, Acc.traffic light: 0.5599, Acc.tray: 0.2751, Acc.ashcan: 0.6386, Acc.fan: 0.7825, Acc.pier: 0.4431, Acc.crt screen: 0.1297, Acc.plate: 0.7413, Acc.monitor: 0.3774, Acc.bulletin board: 0.6903, Acc.shower: 0.1916, Acc.radiator: 0.7623, Acc.glass: 0.2014, Acc.clock: 0.6131, Acc.flag: 0.7522 2023-11-03 03:08:33,494 - mmseg - INFO - Iter [68050/80000] lr: 4.840e-07, eta: 4:25:32, time: 2.418, data_time: 1.210, memory: 38534, decode.loss_ce: 0.1434, decode.acc_seg: 93.7554, loss: 0.1434 2023-11-03 03:09:34,227 - mmseg - INFO - Iter [68100/80000] lr: 4.820e-07, eta: 4:24:24, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1452, decode.acc_seg: 93.7418, loss: 0.1452 2023-11-03 03:10:34,909 - mmseg - INFO - Iter [68150/80000] lr: 4.799e-07, eta: 4:23:16, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1379, decode.acc_seg: 93.9870, loss: 0.1379 2023-11-03 03:11:35,623 - mmseg - INFO - Iter [68200/80000] lr: 4.779e-07, eta: 4:22:09, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1342, decode.acc_seg: 94.1350, loss: 0.1342 2023-11-03 03:12:38,683 - mmseg - INFO - Iter [68250/80000] lr: 4.759e-07, eta: 4:21:02, time: 1.261, data_time: 0.050, memory: 38534, decode.loss_ce: 0.1398, decode.acc_seg: 93.7784, loss: 0.1398 2023-11-03 03:13:39,382 - mmseg - INFO - Iter [68300/80000] lr: 4.739e-07, eta: 4:19:54, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1360, decode.acc_seg: 94.0290, loss: 0.1360 2023-11-03 03:14:40,035 - mmseg - INFO - Iter [68350/80000] lr: 4.718e-07, eta: 4:18:46, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1292, decode.acc_seg: 94.1426, loss: 0.1292 2023-11-03 03:15:40,758 - mmseg - INFO - Iter [68400/80000] lr: 4.698e-07, eta: 4:17:39, time: 1.214, data_time: 0.008, memory: 38534, decode.loss_ce: 0.1377, decode.acc_seg: 93.9973, loss: 0.1377 2023-11-03 03:16:41,479 - mmseg - INFO - Iter [68450/80000] lr: 4.678e-07, eta: 4:16:31, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1441, decode.acc_seg: 93.6502, loss: 0.1441 2023-11-03 03:17:42,187 - mmseg - INFO - Iter [68500/80000] lr: 4.658e-07, eta: 4:15:23, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1427, decode.acc_seg: 93.8328, loss: 0.1427 2023-11-03 03:18:42,928 - mmseg - INFO - Iter [68550/80000] lr: 4.637e-07, eta: 4:14:16, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1360, decode.acc_seg: 93.9229, loss: 0.1360 2023-11-03 03:19:43,644 - mmseg - INFO - Iter [68600/80000] lr: 4.617e-07, eta: 4:13:08, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1390, decode.acc_seg: 94.1313, loss: 0.1390 2023-11-03 03:20:44,384 - mmseg - INFO - Iter [68650/80000] lr: 4.597e-07, eta: 4:12:01, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1444, decode.acc_seg: 93.8298, loss: 0.1444 2023-11-03 03:21:45,071 - mmseg - INFO - Iter [68700/80000] lr: 4.577e-07, eta: 4:10:53, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1327, decode.acc_seg: 94.1761, loss: 0.1327 2023-11-03 03:22:45,798 - mmseg - INFO - Iter [68750/80000] lr: 4.556e-07, eta: 4:09:45, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1420, decode.acc_seg: 93.8019, loss: 0.1420 2023-11-03 03:23:46,487 - mmseg - INFO - Iter [68800/80000] lr: 4.536e-07, eta: 4:08:38, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1461, decode.acc_seg: 93.6237, loss: 0.1461 2023-11-03 03:24:47,229 - mmseg - INFO - Iter [68850/80000] lr: 4.516e-07, eta: 4:07:30, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1351, decode.acc_seg: 93.9856, loss: 0.1351 2023-11-03 03:25:47,968 - mmseg - INFO - Iter [68900/80000] lr: 4.496e-07, eta: 4:06:23, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1408, decode.acc_seg: 94.0082, loss: 0.1408 2023-11-03 03:26:48,722 - mmseg - INFO - Iter [68950/80000] lr: 4.475e-07, eta: 4:05:15, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1455, decode.acc_seg: 93.7489, loss: 0.1455 2023-11-03 03:27:49,476 - mmseg - INFO - Saving checkpoint at 69000 iterations 2023-11-03 03:28:48,495 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-03 03:28:48,496 - mmseg - INFO - Iter [69000/80000] lr: 4.455e-07, eta: 4:04:17, time: 2.395, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1375, decode.acc_seg: 94.0036, loss: 0.1375 2023-11-03 03:29:46,755 - mmseg - INFO - per class results: 2023-11-03 03:29:46,761 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 81.38 | 89.79 | | building | 84.55 | 93.85 | | sky | 94.67 | 97.28 | | floor | 84.41 | 92.38 | | tree | 76.96 | 89.32 | | ceiling | 86.89 | 94.55 | | road | 87.11 | 91.31 | | bed | 91.97 | 97.17 | | windowpane | 66.91 | 81.91 | | grass | 70.03 | 82.79 | | cabinet | 66.37 | 76.72 | | sidewalk | 70.18 | 85.44 | | person | 83.65 | 92.64 | | earth | 41.87 | 54.66 | | door | 62.01 | 75.45 | | table | 70.41 | 82.69 | | mountain | 64.29 | 76.21 | | plant | 54.53 | 67.98 | | curtain | 77.86 | 88.89 | | chair | 63.72 | 75.49 | | car | 86.99 | 93.66 | | water | 58.6 | 73.51 | | painting | 79.39 | 88.34 | | sofa | 83.59 | 92.59 | | shelf | 47.57 | 64.23 | | house | 48.13 | 60.53 | | sea | 67.9 | 91.61 | | mirror | 78.23 | 88.4 | | rug | 66.49 | 75.74 | | field | 32.6 | 54.87 | | armchair | 64.55 | 79.45 | | seat | 64.31 | 87.92 | | fence | 52.0 | 64.93 | | desk | 58.71 | 78.59 | | rock | 56.96 | 86.19 | | wardrobe | 53.82 | 71.89 | | lamp | 71.84 | 83.74 | | bathtub | 88.14 | 91.5 | | railing | 41.06 | 57.35 | | cushion | 66.12 | 78.99 | | base | 38.53 | 51.09 | | box | 39.93 | 47.99 | | column | 51.72 | 62.28 | | signboard | 39.76 | 56.07 | | chest of drawers | 48.93 | 67.56 | | counter | 39.09 | 50.87 | | sand | 60.12 | 85.72 | | sink | 82.51 | 89.01 | | skyscraper | 45.35 | 58.53 | | fireplace | 74.05 | 91.17 | | refrigerator | 86.39 | 94.23 | | grandstand | 51.97 | 82.7 | | path | 27.56 | 35.31 | | stairs | 29.51 | 36.26 | | runway | 75.4 | 96.5 | | case | 60.23 | 79.84 | | pool table | 94.33 | 97.46 | | pillow | 63.7 | 74.85 | | screen door | 78.44 | 79.67 | | stairway | 40.94 | 56.33 | | river | 15.43 | 23.13 | | bridge | 78.24 | 86.98 | | bookcase | 41.77 | 55.16 | | blind | 40.81 | 44.18 | | coffee table | 63.02 | 83.43 | | toilet | 89.84 | 93.65 | | flower | 42.08 | 59.37 | | book | 51.7 | 76.66 | | hill | 8.7 | 12.95 | | bench | 55.2 | 62.54 | | countertop | 65.12 | 80.93 | | stove | 86.68 | 92.81 | | palm | 53.67 | 80.52 | | kitchen island | 52.99 | 82.4 | | computer | 77.01 | 88.88 | | swivel chair | 44.91 | 65.03 | | boat | 78.43 | 91.47 | | bar | 61.11 | 80.56 | | arcade machine | 68.81 | 70.51 | | hovel | 23.58 | 25.11 | | bus | 92.83 | 96.94 | | towel | 77.0 | 84.46 | | light | 49.6 | 58.78 | | truck | 51.19 | 64.04 | | tower | 32.44 | 48.56 | | chandelier | 70.65 | 81.27 | | awning | 35.67 | 44.04 | | streetlight | 27.79 | 36.15 | | booth | 62.2 | 72.69 | | television receiver | 74.82 | 88.11 | | airplane | 83.43 | 91.07 | | dirt track | 28.9 | 52.64 | | apparel | 52.56 | 68.36 | | pole | 22.5 | 33.51 | | land | 3.26 | 4.5 | | bannister | 15.64 | 21.05 | | escalator | 63.9 | 79.13 | | ottoman | 53.56 | 68.35 | | bottle | 43.76 | 65.99 | | buffet | 53.71 | 59.65 | | poster | 38.4 | 45.62 | | stage | 20.41 | 31.92 | | van | 52.54 | 71.8 | | ship | 75.49 | 78.22 | | fountain | 35.13 | 35.45 | | conveyer belt | 79.28 | 93.99 | | canopy | 46.77 | 62.42 | | washer | 83.85 | 88.5 | | plaything | 34.76 | 49.48 | | swimming pool | 62.51 | 77.03 | | stool | 50.62 | 62.96 | | barrel | 65.32 | 88.45 | | basket | 42.98 | 56.74 | | waterfall | 47.09 | 58.79 | | tent | 96.46 | 98.36 | | bag | 24.78 | 27.58 | | minibike | 73.43 | 87.99 | | cradle | 87.06 | 97.91 | | oven | 65.43 | 76.52 | | ball | 62.18 | 69.43 | | food | 62.15 | 73.62 | | step | 11.34 | 13.13 | | tank | 62.42 | 66.3 | | trade name | 25.84 | 29.05 | | microwave | 91.12 | 95.55 | | pot | 58.89 | 66.53 | | animal | 68.87 | 70.84 | | bicycle | 60.0 | 74.59 | | lake | 53.44 | 63.76 | | dishwasher | 75.52 | 81.83 | | screen | 59.63 | 81.95 | | blanket | 25.0 | 28.89 | | sculpture | 76.92 | 87.58 | | hood | 62.87 | 74.21 | | sconce | 52.98 | 64.3 | | vase | 47.75 | 64.68 | | traffic light | 35.87 | 57.67 | | tray | 21.1 | 30.2 | | ashcan | 51.03 | 63.85 | | fan | 64.75 | 78.99 | | pier | 40.19 | 45.56 | | crt screen | 4.86 | 11.01 | | plate | 61.0 | 75.77 | | monitor | 31.8 | 37.03 | | bulletin board | 55.07 | 67.88 | | shower | 11.66 | 21.32 | | radiator | 64.06 | 75.85 | | glass | 18.31 | 19.68 | | clock | 48.99 | 61.77 | | flag | 67.84 | 75.97 | +---------------------+-------+-------+ 2023-11-03 03:29:46,761 - mmseg - INFO - Summary: 2023-11-03 03:29:46,761 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 86.02 | 57.24 | 68.92 | +-------+-------+-------+ 2023-11-03 03:29:46,762 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-03 03:29:46,762 - mmseg - INFO - Iter(val) [250] aAcc: 0.8602, mIoU: 0.5724, mAcc: 0.6892, IoU.wall: 0.8138, IoU.building: 0.8455, IoU.sky: 0.9467, IoU.floor: 0.8441, IoU.tree: 0.7696, IoU.ceiling: 0.8689, IoU.road: 0.8711, IoU.bed : 0.9197, IoU.windowpane: 0.6691, IoU.grass: 0.7003, IoU.cabinet: 0.6637, IoU.sidewalk: 0.7018, IoU.person: 0.8365, IoU.earth: 0.4187, IoU.door: 0.6201, IoU.table: 0.7041, IoU.mountain: 0.6429, IoU.plant: 0.5453, IoU.curtain: 0.7786, IoU.chair: 0.6372, IoU.car: 0.8699, IoU.water: 0.5860, IoU.painting: 0.7939, IoU.sofa: 0.8359, IoU.shelf: 0.4757, IoU.house: 0.4813, IoU.sea: 0.6790, IoU.mirror: 0.7823, IoU.rug: 0.6649, IoU.field: 0.3260, IoU.armchair: 0.6455, IoU.seat: 0.6431, IoU.fence: 0.5200, IoU.desk: 0.5871, IoU.rock: 0.5696, IoU.wardrobe: 0.5382, IoU.lamp: 0.7184, IoU.bathtub: 0.8814, IoU.railing: 0.4106, IoU.cushion: 0.6612, IoU.base: 0.3853, IoU.box: 0.3993, IoU.column: 0.5172, IoU.signboard: 0.3976, IoU.chest of drawers: 0.4893, IoU.counter: 0.3909, IoU.sand: 0.6012, IoU.sink: 0.8251, IoU.skyscraper: 0.4535, IoU.fireplace: 0.7405, IoU.refrigerator: 0.8639, IoU.grandstand: 0.5197, IoU.path: 0.2756, IoU.stairs: 0.2951, IoU.runway: 0.7540, IoU.case: 0.6023, IoU.pool table: 0.9433, IoU.pillow: 0.6370, IoU.screen door: 0.7844, IoU.stairway: 0.4094, IoU.river: 0.1543, IoU.bridge: 0.7824, IoU.bookcase: 0.4177, IoU.blind: 0.4081, IoU.coffee table: 0.6302, IoU.toilet: 0.8984, IoU.flower: 0.4208, IoU.book: 0.5170, IoU.hill: 0.0870, IoU.bench: 0.5520, IoU.countertop: 0.6512, IoU.stove: 0.8668, IoU.palm: 0.5367, IoU.kitchen island: 0.5299, IoU.computer: 0.7701, IoU.swivel chair: 0.4491, IoU.boat: 0.7843, IoU.bar: 0.6111, IoU.arcade machine: 0.6881, IoU.hovel: 0.2358, IoU.bus: 0.9283, IoU.towel: 0.7700, IoU.light: 0.4960, IoU.truck: 0.5119, IoU.tower: 0.3244, IoU.chandelier: 0.7065, IoU.awning: 0.3567, IoU.streetlight: 0.2779, IoU.booth: 0.6220, IoU.television receiver: 0.7482, IoU.airplane: 0.8343, IoU.dirt track: 0.2890, IoU.apparel: 0.5256, IoU.pole: 0.2250, IoU.land: 0.0326, IoU.bannister: 0.1564, IoU.escalator: 0.6390, IoU.ottoman: 0.5356, IoU.bottle: 0.4376, IoU.buffet: 0.5371, IoU.poster: 0.3840, IoU.stage: 0.2041, IoU.van: 0.5254, IoU.ship: 0.7549, IoU.fountain: 0.3513, IoU.conveyer belt: 0.7928, IoU.canopy: 0.4677, IoU.washer: 0.8385, IoU.plaything: 0.3476, IoU.swimming pool: 0.6251, IoU.stool: 0.5062, IoU.barrel: 0.6532, IoU.basket: 0.4298, IoU.waterfall: 0.4709, IoU.tent: 0.9646, IoU.bag: 0.2478, IoU.minibike: 0.7343, IoU.cradle: 0.8706, IoU.oven: 0.6543, IoU.ball: 0.6218, IoU.food: 0.6215, IoU.step: 0.1134, IoU.tank: 0.6242, IoU.trade name: 0.2584, IoU.microwave: 0.9112, IoU.pot: 0.5889, IoU.animal: 0.6887, IoU.bicycle: 0.6000, IoU.lake: 0.5344, IoU.dishwasher: 0.7552, IoU.screen: 0.5963, IoU.blanket: 0.2500, IoU.sculpture: 0.7692, IoU.hood: 0.6287, IoU.sconce: 0.5298, IoU.vase: 0.4775, IoU.traffic light: 0.3587, IoU.tray: 0.2110, IoU.ashcan: 0.5103, IoU.fan: 0.6475, IoU.pier: 0.4019, IoU.crt screen: 0.0486, IoU.plate: 0.6100, IoU.monitor: 0.3180, IoU.bulletin board: 0.5507, IoU.shower: 0.1166, IoU.radiator: 0.6406, IoU.glass: 0.1831, IoU.clock: 0.4899, IoU.flag: 0.6784, Acc.wall: 0.8979, Acc.building: 0.9385, Acc.sky: 0.9728, Acc.floor: 0.9238, Acc.tree: 0.8932, Acc.ceiling: 0.9455, Acc.road: 0.9131, Acc.bed : 0.9717, Acc.windowpane: 0.8191, Acc.grass: 0.8279, Acc.cabinet: 0.7672, Acc.sidewalk: 0.8544, Acc.person: 0.9264, Acc.earth: 0.5466, Acc.door: 0.7545, Acc.table: 0.8269, Acc.mountain: 0.7621, Acc.plant: 0.6798, Acc.curtain: 0.8889, Acc.chair: 0.7549, Acc.car: 0.9366, Acc.water: 0.7351, Acc.painting: 0.8834, Acc.sofa: 0.9259, Acc.shelf: 0.6423, Acc.house: 0.6053, Acc.sea: 0.9161, Acc.mirror: 0.8840, Acc.rug: 0.7574, Acc.field: 0.5487, Acc.armchair: 0.7945, Acc.seat: 0.8792, Acc.fence: 0.6493, Acc.desk: 0.7859, Acc.rock: 0.8619, Acc.wardrobe: 0.7189, Acc.lamp: 0.8374, Acc.bathtub: 0.9150, Acc.railing: 0.5735, Acc.cushion: 0.7899, Acc.base: 0.5109, Acc.box: 0.4799, Acc.column: 0.6228, Acc.signboard: 0.5607, Acc.chest of drawers: 0.6756, Acc.counter: 0.5087, Acc.sand: 0.8572, Acc.sink: 0.8901, Acc.skyscraper: 0.5853, Acc.fireplace: 0.9117, Acc.refrigerator: 0.9423, Acc.grandstand: 0.8270, Acc.path: 0.3531, Acc.stairs: 0.3626, Acc.runway: 0.9650, Acc.case: 0.7984, Acc.pool table: 0.9746, Acc.pillow: 0.7485, Acc.screen door: 0.7967, Acc.stairway: 0.5633, Acc.river: 0.2313, Acc.bridge: 0.8698, Acc.bookcase: 0.5516, Acc.blind: 0.4418, Acc.coffee table: 0.8343, Acc.toilet: 0.9365, Acc.flower: 0.5937, Acc.book: 0.7666, Acc.hill: 0.1295, Acc.bench: 0.6254, Acc.countertop: 0.8093, Acc.stove: 0.9281, Acc.palm: 0.8052, Acc.kitchen island: 0.8240, Acc.computer: 0.8888, Acc.swivel chair: 0.6503, Acc.boat: 0.9147, Acc.bar: 0.8056, Acc.arcade machine: 0.7051, Acc.hovel: 0.2511, Acc.bus: 0.9694, Acc.towel: 0.8446, Acc.light: 0.5878, Acc.truck: 0.6404, Acc.tower: 0.4856, Acc.chandelier: 0.8127, Acc.awning: 0.4404, Acc.streetlight: 0.3615, Acc.booth: 0.7269, Acc.television receiver: 0.8811, Acc.airplane: 0.9107, Acc.dirt track: 0.5264, Acc.apparel: 0.6836, Acc.pole: 0.3351, Acc.land: 0.0450, Acc.bannister: 0.2105, Acc.escalator: 0.7913, Acc.ottoman: 0.6835, Acc.bottle: 0.6599, Acc.buffet: 0.5965, Acc.poster: 0.4562, Acc.stage: 0.3192, Acc.van: 0.7180, Acc.ship: 0.7822, Acc.fountain: 0.3545, Acc.conveyer belt: 0.9399, Acc.canopy: 0.6242, Acc.washer: 0.8850, Acc.plaything: 0.4948, Acc.swimming pool: 0.7703, Acc.stool: 0.6296, Acc.barrel: 0.8845, Acc.basket: 0.5674, Acc.waterfall: 0.5879, Acc.tent: 0.9836, Acc.bag: 0.2758, Acc.minibike: 0.8799, Acc.cradle: 0.9791, Acc.oven: 0.7652, Acc.ball: 0.6943, Acc.food: 0.7362, Acc.step: 0.1313, Acc.tank: 0.6630, Acc.trade name: 0.2905, Acc.microwave: 0.9555, Acc.pot: 0.6653, Acc.animal: 0.7084, Acc.bicycle: 0.7459, Acc.lake: 0.6376, Acc.dishwasher: 0.8183, Acc.screen: 0.8195, Acc.blanket: 0.2889, Acc.sculpture: 0.8758, Acc.hood: 0.7421, Acc.sconce: 0.6430, Acc.vase: 0.6468, Acc.traffic light: 0.5767, Acc.tray: 0.3020, Acc.ashcan: 0.6385, Acc.fan: 0.7899, Acc.pier: 0.4556, Acc.crt screen: 0.1101, Acc.plate: 0.7577, Acc.monitor: 0.3703, Acc.bulletin board: 0.6788, Acc.shower: 0.2132, Acc.radiator: 0.7585, Acc.glass: 0.1968, Acc.clock: 0.6177, Acc.flag: 0.7597 2023-11-03 03:30:48,411 - mmseg - INFO - Iter [69050/80000] lr: 4.435e-07, eta: 4:03:19, time: 2.398, data_time: 1.172, memory: 38534, decode.loss_ce: 0.1484, decode.acc_seg: 93.5529, loss: 0.1484 2023-11-03 03:31:49,120 - mmseg - INFO - Iter [69100/80000] lr: 4.415e-07, eta: 4:02:11, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1400, decode.acc_seg: 93.8152, loss: 0.1400 2023-11-03 03:32:49,820 - mmseg - INFO - Iter [69150/80000] lr: 4.394e-07, eta: 4:01:04, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1427, decode.acc_seg: 93.8836, loss: 0.1427 2023-11-03 03:33:50,481 - mmseg - INFO - Iter [69200/80000] lr: 4.374e-07, eta: 3:59:56, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1432, decode.acc_seg: 93.7383, loss: 0.1432 2023-11-03 03:34:51,177 - mmseg - INFO - Iter [69250/80000] lr: 4.354e-07, eta: 3:58:49, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1464, decode.acc_seg: 93.7694, loss: 0.1464 2023-11-03 03:35:51,877 - mmseg - INFO - Iter [69300/80000] lr: 4.334e-07, eta: 3:57:41, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1434, decode.acc_seg: 93.6195, loss: 0.1434 2023-11-03 03:36:52,534 - mmseg - INFO - Iter [69350/80000] lr: 4.313e-07, eta: 3:56:33, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1376, decode.acc_seg: 94.0477, loss: 0.1376 2023-11-03 03:37:53,222 - mmseg - INFO - Iter [69400/80000] lr: 4.293e-07, eta: 3:55:26, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1465, decode.acc_seg: 93.6045, loss: 0.1465 2023-11-03 03:38:53,907 - mmseg - INFO - Iter [69450/80000] lr: 4.273e-07, eta: 3:54:18, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1349, decode.acc_seg: 93.9255, loss: 0.1349 2023-11-03 03:39:56,990 - mmseg - INFO - Iter [69500/80000] lr: 4.253e-07, eta: 3:53:11, time: 1.262, data_time: 0.054, memory: 38534, decode.loss_ce: 0.1416, decode.acc_seg: 93.9218, loss: 0.1416 2023-11-03 03:40:57,665 - mmseg - INFO - Iter [69550/80000] lr: 4.232e-07, eta: 3:52:04, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1345, decode.acc_seg: 94.1385, loss: 0.1345 2023-11-03 03:41:58,345 - mmseg - INFO - Iter [69600/80000] lr: 4.212e-07, eta: 3:50:56, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1400, decode.acc_seg: 93.8850, loss: 0.1400 2023-11-03 03:42:58,994 - mmseg - INFO - Iter [69650/80000] lr: 4.192e-07, eta: 3:49:49, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1395, decode.acc_seg: 93.8689, loss: 0.1395 2023-11-03 03:43:59,704 - mmseg - INFO - Iter [69700/80000] lr: 4.172e-07, eta: 3:48:41, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1386, decode.acc_seg: 93.9313, loss: 0.1386 2023-11-03 03:45:00,429 - mmseg - INFO - Iter [69750/80000] lr: 4.151e-07, eta: 3:47:34, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1421, decode.acc_seg: 93.8672, loss: 0.1421 2023-11-03 03:46:01,138 - mmseg - INFO - Iter [69800/80000] lr: 4.131e-07, eta: 3:46:26, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1378, decode.acc_seg: 93.9709, loss: 0.1378 2023-11-03 03:47:01,823 - mmseg - INFO - Iter [69850/80000] lr: 4.111e-07, eta: 3:45:19, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1348, decode.acc_seg: 94.0520, loss: 0.1348 2023-11-03 03:48:02,566 - mmseg - INFO - Iter [69900/80000] lr: 4.091e-07, eta: 3:44:11, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1386, decode.acc_seg: 93.8562, loss: 0.1386 2023-11-03 03:49:03,313 - mmseg - INFO - Iter [69950/80000] lr: 4.070e-07, eta: 3:43:04, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1360, decode.acc_seg: 94.1186, loss: 0.1360 2023-11-03 03:50:04,041 - mmseg - INFO - Saving checkpoint at 70000 iterations 2023-11-03 03:51:01,395 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-03 03:51:01,395 - mmseg - INFO - Iter [70000/80000] lr: 4.050e-07, eta: 3:42:05, time: 2.362, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1444, decode.acc_seg: 93.7414, loss: 0.1444 2023-11-03 03:52:00,649 - mmseg - INFO - per class results: 2023-11-03 03:52:00,654 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 81.48 | 89.86 | | building | 84.87 | 93.27 | | sky | 94.62 | 97.62 | | floor | 84.6 | 92.05 | | tree | 77.16 | 89.48 | | ceiling | 87.27 | 94.05 | | road | 86.98 | 91.72 | | bed | 92.29 | 97.16 | | windowpane | 66.71 | 82.45 | | grass | 69.31 | 81.62 | | cabinet | 66.38 | 75.75 | | sidewalk | 70.62 | 84.2 | | person | 83.82 | 93.17 | | earth | 41.92 | 55.34 | | door | 61.54 | 76.45 | | table | 70.57 | 81.85 | | mountain | 62.94 | 75.02 | | plant | 54.95 | 68.38 | | curtain | 77.56 | 88.7 | | chair | 63.66 | 76.49 | | car | 87.12 | 93.49 | | water | 61.46 | 77.98 | | painting | 78.24 | 89.8 | | sofa | 83.35 | 91.79 | | shelf | 47.94 | 64.01 | | house | 55.38 | 69.42 | | sea | 70.92 | 87.72 | | mirror | 78.46 | 89.27 | | rug | 65.05 | 73.82 | | field | 33.13 | 56.55 | | armchair | 64.27 | 80.11 | | seat | 65.47 | 88.46 | | fence | 52.39 | 68.82 | | desk | 59.19 | 79.3 | | rock | 57.08 | 83.89 | | wardrobe | 53.78 | 72.28 | | lamp | 72.01 | 83.47 | | bathtub | 88.19 | 91.26 | | railing | 41.92 | 57.47 | | cushion | 66.03 | 79.46 | | base | 37.83 | 49.96 | | box | 40.44 | 49.8 | | column | 52.32 | 62.41 | | signboard | 40.11 | 53.98 | | chest of drawers | 50.91 | 75.05 | | counter | 43.39 | 58.19 | | sand | 59.72 | 87.21 | | sink | 82.35 | 89.12 | | skyscraper | 45.43 | 59.65 | | fireplace | 74.2 | 91.4 | | refrigerator | 87.0 | 94.21 | | grandstand | 53.48 | 82.68 | | path | 26.06 | 35.35 | | stairs | 29.1 | 36.35 | | runway | 75.07 | 95.61 | | case | 60.77 | 81.77 | | pool table | 94.29 | 97.52 | | pillow | 63.89 | 75.61 | | screen door | 75.51 | 76.85 | | stairway | 42.09 | 61.3 | | river | 12.97 | 21.7 | | bridge | 75.98 | 85.99 | | bookcase | 42.1 | 57.32 | | blind | 40.9 | 44.54 | | coffee table | 63.06 | 84.11 | | toilet | 90.04 | 93.66 | | flower | 42.12 | 60.22 | | book | 51.86 | 75.57 | | hill | 8.63 | 12.69 | | bench | 54.93 | 61.48 | | countertop | 63.76 | 81.27 | | stove | 86.76 | 92.93 | | palm | 53.2 | 77.71 | | kitchen island | 54.52 | 81.13 | | computer | 77.18 | 88.71 | | swivel chair | 43.78 | 67.61 | | boat | 79.03 | 90.54 | | bar | 60.65 | 79.99 | | arcade machine | 68.75 | 70.64 | | hovel | 23.55 | 25.16 | | bus | 93.21 | 96.8 | | towel | 77.43 | 85.75 | | light | 48.66 | 56.56 | | truck | 50.43 | 63.16 | | tower | 30.44 | 48.57 | | chandelier | 71.06 | 82.38 | | awning | 36.53 | 45.81 | | streetlight | 27.67 | 36.64 | | booth | 63.62 | 73.27 | | television receiver | 74.65 | 87.95 | | airplane | 84.04 | 90.9 | | dirt track | 20.27 | 52.87 | | apparel | 51.9 | 67.47 | | pole | 22.64 | 33.88 | | land | 3.47 | 5.01 | | bannister | 16.6 | 22.35 | | escalator | 66.09 | 81.78 | | ottoman | 53.86 | 69.4 | | bottle | 43.72 | 67.21 | | buffet | 54.07 | 60.48 | | poster | 39.5 | 48.75 | | stage | 19.7 | 30.25 | | van | 52.96 | 72.89 | | ship | 75.89 | 78.75 | | fountain | 36.57 | 37.29 | | conveyer belt | 79.93 | 94.06 | | canopy | 44.99 | 60.64 | | washer | 83.69 | 88.39 | | plaything | 35.27 | 50.83 | | swimming pool | 62.98 | 76.65 | | stool | 49.91 | 67.2 | | barrel | 63.27 | 89.36 | | basket | 43.09 | 53.92 | | waterfall | 46.98 | 58.28 | | tent | 96.27 | 98.48 | | bag | 28.25 | 32.28 | | minibike | 73.45 | 88.69 | | cradle | 86.58 | 97.6 | | oven | 65.05 | 75.88 | | ball | 63.19 | 72.01 | | food | 62.22 | 72.73 | | step | 13.09 | 15.15 | | tank | 62.75 | 66.25 | | trade name | 26.43 | 30.63 | | microwave | 90.99 | 95.86 | | pot | 58.83 | 67.29 | | animal | 70.71 | 73.13 | | bicycle | 60.58 | 78.09 | | lake | 53.43 | 63.77 | | dishwasher | 74.46 | 83.07 | | screen | 61.78 | 87.14 | | blanket | 29.04 | 33.61 | | sculpture | 75.45 | 88.2 | | hood | 62.93 | 74.24 | | sconce | 55.08 | 68.21 | | vase | 47.8 | 64.29 | | traffic light | 37.05 | 56.48 | | tray | 22.6 | 29.64 | | ashcan | 51.43 | 65.01 | | fan | 64.27 | 76.69 | | pier | 40.33 | 45.2 | | crt screen | 4.39 | 9.52 | | plate | 61.69 | 74.93 | | monitor | 29.66 | 34.37 | | bulletin board | 55.95 | 68.89 | | shower | 14.49 | 21.47 | | radiator | 65.15 | 79.36 | | glass | 19.18 | 20.95 | | clock | 49.52 | 64.74 | | flag | 67.36 | 76.17 | +---------------------+-------+-------+ 2023-11-03 03:52:00,655 - mmseg - INFO - Summary: 2023-11-03 03:52:00,655 - mmseg - INFO - +------+-------+-------+ | aAcc | mIoU | mAcc | +------+-------+-------+ | 86.1 | 57.43 | 69.44 | +------+-------+-------+ 2023-11-03 03:52:00,655 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-03 03:52:00,656 - mmseg - INFO - Iter(val) [250] aAcc: 0.8610, mIoU: 0.5743, mAcc: 0.6944, IoU.wall: 0.8148, IoU.building: 0.8487, IoU.sky: 0.9462, IoU.floor: 0.8460, IoU.tree: 0.7716, IoU.ceiling: 0.8727, IoU.road: 0.8698, IoU.bed : 0.9229, IoU.windowpane: 0.6671, IoU.grass: 0.6931, IoU.cabinet: 0.6638, IoU.sidewalk: 0.7062, IoU.person: 0.8382, IoU.earth: 0.4192, IoU.door: 0.6154, IoU.table: 0.7057, IoU.mountain: 0.6294, IoU.plant: 0.5495, IoU.curtain: 0.7756, IoU.chair: 0.6366, IoU.car: 0.8712, IoU.water: 0.6146, IoU.painting: 0.7824, IoU.sofa: 0.8335, IoU.shelf: 0.4794, IoU.house: 0.5538, IoU.sea: 0.7092, IoU.mirror: 0.7846, IoU.rug: 0.6505, IoU.field: 0.3313, IoU.armchair: 0.6427, IoU.seat: 0.6547, IoU.fence: 0.5239, IoU.desk: 0.5919, IoU.rock: 0.5708, IoU.wardrobe: 0.5378, IoU.lamp: 0.7201, IoU.bathtub: 0.8819, IoU.railing: 0.4192, IoU.cushion: 0.6603, IoU.base: 0.3783, IoU.box: 0.4044, IoU.column: 0.5232, IoU.signboard: 0.4011, IoU.chest of drawers: 0.5091, IoU.counter: 0.4339, IoU.sand: 0.5972, IoU.sink: 0.8235, IoU.skyscraper: 0.4543, IoU.fireplace: 0.7420, IoU.refrigerator: 0.8700, IoU.grandstand: 0.5348, IoU.path: 0.2606, IoU.stairs: 0.2910, IoU.runway: 0.7507, IoU.case: 0.6077, IoU.pool table: 0.9429, IoU.pillow: 0.6389, IoU.screen door: 0.7551, IoU.stairway: 0.4209, IoU.river: 0.1297, IoU.bridge: 0.7598, IoU.bookcase: 0.4210, IoU.blind: 0.4090, IoU.coffee table: 0.6306, IoU.toilet: 0.9004, IoU.flower: 0.4212, IoU.book: 0.5186, IoU.hill: 0.0863, IoU.bench: 0.5493, IoU.countertop: 0.6376, IoU.stove: 0.8676, IoU.palm: 0.5320, IoU.kitchen island: 0.5452, IoU.computer: 0.7718, IoU.swivel chair: 0.4378, IoU.boat: 0.7903, IoU.bar: 0.6065, IoU.arcade machine: 0.6875, IoU.hovel: 0.2355, IoU.bus: 0.9321, IoU.towel: 0.7743, IoU.light: 0.4866, IoU.truck: 0.5043, IoU.tower: 0.3044, IoU.chandelier: 0.7106, IoU.awning: 0.3653, IoU.streetlight: 0.2767, IoU.booth: 0.6362, IoU.television receiver: 0.7465, IoU.airplane: 0.8404, IoU.dirt track: 0.2027, IoU.apparel: 0.5190, IoU.pole: 0.2264, IoU.land: 0.0347, IoU.bannister: 0.1660, IoU.escalator: 0.6609, IoU.ottoman: 0.5386, IoU.bottle: 0.4372, IoU.buffet: 0.5407, IoU.poster: 0.3950, IoU.stage: 0.1970, IoU.van: 0.5296, IoU.ship: 0.7589, IoU.fountain: 0.3657, IoU.conveyer belt: 0.7993, IoU.canopy: 0.4499, IoU.washer: 0.8369, IoU.plaything: 0.3527, IoU.swimming pool: 0.6298, IoU.stool: 0.4991, IoU.barrel: 0.6327, IoU.basket: 0.4309, IoU.waterfall: 0.4698, IoU.tent: 0.9627, IoU.bag: 0.2825, IoU.minibike: 0.7345, IoU.cradle: 0.8658, IoU.oven: 0.6505, IoU.ball: 0.6319, IoU.food: 0.6222, IoU.step: 0.1309, IoU.tank: 0.6275, IoU.trade name: 0.2643, IoU.microwave: 0.9099, IoU.pot: 0.5883, IoU.animal: 0.7071, IoU.bicycle: 0.6058, IoU.lake: 0.5343, IoU.dishwasher: 0.7446, IoU.screen: 0.6178, IoU.blanket: 0.2904, IoU.sculpture: 0.7545, IoU.hood: 0.6293, IoU.sconce: 0.5508, IoU.vase: 0.4780, IoU.traffic light: 0.3705, IoU.tray: 0.2260, IoU.ashcan: 0.5143, IoU.fan: 0.6427, IoU.pier: 0.4033, IoU.crt screen: 0.0439, IoU.plate: 0.6169, IoU.monitor: 0.2966, IoU.bulletin board: 0.5595, IoU.shower: 0.1449, IoU.radiator: 0.6515, IoU.glass: 0.1918, IoU.clock: 0.4952, IoU.flag: 0.6736, Acc.wall: 0.8986, Acc.building: 0.9327, Acc.sky: 0.9762, Acc.floor: 0.9205, Acc.tree: 0.8948, Acc.ceiling: 0.9405, Acc.road: 0.9172, Acc.bed : 0.9716, Acc.windowpane: 0.8245, Acc.grass: 0.8162, Acc.cabinet: 0.7575, Acc.sidewalk: 0.8420, Acc.person: 0.9317, Acc.earth: 0.5534, Acc.door: 0.7645, Acc.table: 0.8185, Acc.mountain: 0.7502, Acc.plant: 0.6838, Acc.curtain: 0.8870, Acc.chair: 0.7649, Acc.car: 0.9349, Acc.water: 0.7798, Acc.painting: 0.8980, Acc.sofa: 0.9179, Acc.shelf: 0.6401, Acc.house: 0.6942, Acc.sea: 0.8772, Acc.mirror: 0.8927, Acc.rug: 0.7382, Acc.field: 0.5655, Acc.armchair: 0.8011, Acc.seat: 0.8846, Acc.fence: 0.6882, Acc.desk: 0.7930, Acc.rock: 0.8389, Acc.wardrobe: 0.7228, Acc.lamp: 0.8347, Acc.bathtub: 0.9126, Acc.railing: 0.5747, Acc.cushion: 0.7946, Acc.base: 0.4996, Acc.box: 0.4980, Acc.column: 0.6241, Acc.signboard: 0.5398, Acc.chest of drawers: 0.7505, Acc.counter: 0.5819, Acc.sand: 0.8721, Acc.sink: 0.8912, Acc.skyscraper: 0.5965, Acc.fireplace: 0.9140, Acc.refrigerator: 0.9421, Acc.grandstand: 0.8268, Acc.path: 0.3535, Acc.stairs: 0.3635, Acc.runway: 0.9561, Acc.case: 0.8177, Acc.pool table: 0.9752, Acc.pillow: 0.7561, Acc.screen door: 0.7685, Acc.stairway: 0.6130, Acc.river: 0.2170, Acc.bridge: 0.8599, Acc.bookcase: 0.5732, Acc.blind: 0.4454, Acc.coffee table: 0.8411, Acc.toilet: 0.9366, Acc.flower: 0.6022, Acc.book: 0.7557, Acc.hill: 0.1269, Acc.bench: 0.6148, Acc.countertop: 0.8127, Acc.stove: 0.9293, Acc.palm: 0.7771, Acc.kitchen island: 0.8113, Acc.computer: 0.8871, Acc.swivel chair: 0.6761, Acc.boat: 0.9054, Acc.bar: 0.7999, Acc.arcade machine: 0.7064, Acc.hovel: 0.2516, Acc.bus: 0.9680, Acc.towel: 0.8575, Acc.light: 0.5656, Acc.truck: 0.6316, Acc.tower: 0.4857, Acc.chandelier: 0.8238, Acc.awning: 0.4581, Acc.streetlight: 0.3664, Acc.booth: 0.7327, Acc.television receiver: 0.8795, Acc.airplane: 0.9090, Acc.dirt track: 0.5287, Acc.apparel: 0.6747, Acc.pole: 0.3388, Acc.land: 0.0501, Acc.bannister: 0.2235, Acc.escalator: 0.8178, Acc.ottoman: 0.6940, Acc.bottle: 0.6721, Acc.buffet: 0.6048, Acc.poster: 0.4875, Acc.stage: 0.3025, Acc.van: 0.7289, Acc.ship: 0.7875, Acc.fountain: 0.3729, Acc.conveyer belt: 0.9406, Acc.canopy: 0.6064, Acc.washer: 0.8839, Acc.plaything: 0.5083, Acc.swimming pool: 0.7665, Acc.stool: 0.6720, Acc.barrel: 0.8936, Acc.basket: 0.5392, Acc.waterfall: 0.5828, Acc.tent: 0.9848, Acc.bag: 0.3228, Acc.minibike: 0.8869, Acc.cradle: 0.9760, Acc.oven: 0.7588, Acc.ball: 0.7201, Acc.food: 0.7273, Acc.step: 0.1515, Acc.tank: 0.6625, Acc.trade name: 0.3063, Acc.microwave: 0.9586, Acc.pot: 0.6729, Acc.animal: 0.7313, Acc.bicycle: 0.7809, Acc.lake: 0.6377, Acc.dishwasher: 0.8307, Acc.screen: 0.8714, Acc.blanket: 0.3361, Acc.sculpture: 0.8820, Acc.hood: 0.7424, Acc.sconce: 0.6821, Acc.vase: 0.6429, Acc.traffic light: 0.5648, Acc.tray: 0.2964, Acc.ashcan: 0.6501, Acc.fan: 0.7669, Acc.pier: 0.4520, Acc.crt screen: 0.0952, Acc.plate: 0.7493, Acc.monitor: 0.3437, Acc.bulletin board: 0.6889, Acc.shower: 0.2147, Acc.radiator: 0.7936, Acc.glass: 0.2095, Acc.clock: 0.6474, Acc.flag: 0.7617 2023-11-03 03:53:01,474 - mmseg - INFO - Iter [70050/80000] lr: 4.030e-07, eta: 3:41:06, time: 2.402, data_time: 1.192, memory: 38534, decode.loss_ce: 0.1378, decode.acc_seg: 93.9527, loss: 0.1378 2023-11-03 03:54:02,203 - mmseg - INFO - Iter [70100/80000] lr: 4.010e-07, eta: 3:39:58, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1354, decode.acc_seg: 94.2416, loss: 0.1354 2023-11-03 03:55:02,931 - mmseg - INFO - Iter [70150/80000] lr: 3.989e-07, eta: 3:38:51, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1375, decode.acc_seg: 93.8647, loss: 0.1375 2023-11-03 03:56:03,666 - mmseg - INFO - Iter [70200/80000] lr: 3.969e-07, eta: 3:37:43, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1387, decode.acc_seg: 93.9309, loss: 0.1387 2023-11-03 03:57:04,382 - mmseg - INFO - Iter [70250/80000] lr: 3.949e-07, eta: 3:36:36, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1427, decode.acc_seg: 93.8047, loss: 0.1427 2023-11-03 03:58:05,046 - mmseg - INFO - Iter [70300/80000] lr: 3.929e-07, eta: 3:35:28, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1507, decode.acc_seg: 93.5475, loss: 0.1507 2023-11-03 03:59:05,710 - mmseg - INFO - Iter [70350/80000] lr: 3.908e-07, eta: 3:34:21, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1345, decode.acc_seg: 94.2219, loss: 0.1345 2023-11-03 04:00:06,365 - mmseg - INFO - Iter [70400/80000] lr: 3.888e-07, eta: 3:33:13, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1395, decode.acc_seg: 93.7882, loss: 0.1395 2023-11-03 04:01:07,077 - mmseg - INFO - Iter [70450/80000] lr: 3.868e-07, eta: 3:32:06, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1335, decode.acc_seg: 94.0733, loss: 0.1335 2023-11-03 04:02:07,867 - mmseg - INFO - Iter [70500/80000] lr: 3.848e-07, eta: 3:30:58, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1452, decode.acc_seg: 93.6562, loss: 0.1452 2023-11-03 04:03:08,670 - mmseg - INFO - Iter [70550/80000] lr: 3.827e-07, eta: 3:29:51, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1460, decode.acc_seg: 93.6817, loss: 0.1460 2023-11-03 04:04:09,455 - mmseg - INFO - Iter [70600/80000] lr: 3.807e-07, eta: 3:28:44, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1405, decode.acc_seg: 93.9536, loss: 0.1405 2023-11-03 04:05:10,223 - mmseg - INFO - Iter [70650/80000] lr: 3.787e-07, eta: 3:27:36, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1405, decode.acc_seg: 94.0650, loss: 0.1405 2023-11-03 04:06:10,988 - mmseg - INFO - Iter [70700/80000] lr: 3.767e-07, eta: 3:26:29, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1420, decode.acc_seg: 93.9069, loss: 0.1420 2023-11-03 04:07:14,150 - mmseg - INFO - Iter [70750/80000] lr: 3.746e-07, eta: 3:25:22, time: 1.263, data_time: 0.052, memory: 38534, decode.loss_ce: 0.1380, decode.acc_seg: 94.0123, loss: 0.1380 2023-11-03 04:08:14,948 - mmseg - INFO - Iter [70800/80000] lr: 3.726e-07, eta: 3:24:14, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1398, decode.acc_seg: 93.8471, loss: 0.1398 2023-11-03 04:09:15,722 - mmseg - INFO - Iter [70850/80000] lr: 3.706e-07, eta: 3:23:07, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1453, decode.acc_seg: 93.7146, loss: 0.1453 2023-11-03 04:10:16,531 - mmseg - INFO - Iter [70900/80000] lr: 3.686e-07, eta: 3:22:00, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1373, decode.acc_seg: 94.0116, loss: 0.1373 2023-11-03 04:11:17,376 - mmseg - INFO - Iter [70950/80000] lr: 3.665e-07, eta: 3:20:52, time: 1.217, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1378, decode.acc_seg: 94.0907, loss: 0.1378 2023-11-03 04:12:18,201 - mmseg - INFO - Saving checkpoint at 71000 iterations 2023-11-03 04:13:15,378 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-03 04:13:15,378 - mmseg - INFO - Iter [71000/80000] lr: 3.645e-07, eta: 3:19:52, time: 2.360, data_time: 0.008, memory: 38534, decode.loss_ce: 0.1432, decode.acc_seg: 93.6947, loss: 0.1432 2023-11-03 04:14:18,853 - mmseg - INFO - per class results: 2023-11-03 04:14:18,858 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 81.17 | 89.48 | | building | 84.23 | 93.98 | | sky | 94.66 | 97.41 | | floor | 84.69 | 92.08 | | tree | 76.96 | 89.5 | | ceiling | 87.01 | 94.37 | | road | 86.9 | 91.86 | | bed | 92.08 | 97.52 | | windowpane | 67.0 | 82.32 | | grass | 68.04 | 83.36 | | cabinet | 66.97 | 77.43 | | sidewalk | 70.61 | 83.92 | | person | 83.73 | 93.34 | | earth | 41.76 | 54.19 | | door | 61.28 | 74.79 | | table | 70.85 | 81.77 | | mountain | 63.53 | 76.35 | | plant | 54.26 | 67.01 | | curtain | 77.82 | 89.21 | | chair | 63.54 | 75.87 | | car | 86.99 | 93.78 | | water | 60.49 | 75.39 | | painting | 78.18 | 89.28 | | sofa | 83.77 | 91.72 | | shelf | 47.55 | 64.51 | | house | 48.25 | 58.26 | | sea | 70.34 | 88.79 | | mirror | 77.13 | 87.58 | | rug | 67.2 | 77.85 | | field | 27.12 | 44.75 | | armchair | 65.25 | 78.58 | | seat | 64.37 | 88.95 | | fence | 51.86 | 66.74 | | desk | 59.12 | 78.83 | | rock | 56.28 | 84.28 | | wardrobe | 53.69 | 72.66 | | lamp | 72.2 | 82.73 | | bathtub | 87.68 | 90.89 | | railing | 40.61 | 55.76 | | cushion | 65.78 | 78.99 | | base | 37.58 | 50.46 | | box | 40.83 | 49.64 | | column | 51.78 | 63.71 | | signboard | 39.26 | 52.11 | | chest of drawers | 51.7 | 72.4 | | counter | 37.34 | 47.18 | | sand | 60.04 | 87.45 | | sink | 82.33 | 89.03 | | skyscraper | 44.26 | 56.11 | | fireplace | 73.26 | 90.48 | | refrigerator | 87.3 | 93.26 | | grandstand | 52.48 | 83.32 | | path | 25.95 | 34.13 | | stairs | 28.5 | 35.28 | | runway | 73.7 | 94.2 | | case | 60.14 | 81.83 | | pool table | 94.31 | 97.54 | | pillow | 62.59 | 73.8 | | screen door | 80.65 | 82.58 | | stairway | 40.16 | 56.95 | | river | 14.84 | 24.94 | | bridge | 76.31 | 85.55 | | bookcase | 40.37 | 57.93 | | blind | 41.71 | 46.07 | | coffee table | 64.28 | 83.12 | | toilet | 89.98 | 93.86 | | flower | 41.82 | 59.93 | | book | 52.29 | 75.76 | | hill | 7.79 | 10.8 | | bench | 54.5 | 61.06 | | countertop | 64.84 | 82.18 | | stove | 86.73 | 92.87 | | palm | 53.44 | 79.02 | | kitchen island | 55.56 | 81.55 | | computer | 78.11 | 88.91 | | swivel chair | 43.35 | 63.95 | | boat | 80.41 | 91.21 | | bar | 61.52 | 81.97 | | arcade machine | 66.77 | 68.36 | | hovel | 22.96 | 24.48 | | bus | 93.15 | 97.03 | | towel | 75.87 | 84.99 | | light | 49.44 | 58.67 | | truck | 51.4 | 62.21 | | tower | 32.91 | 54.17 | | chandelier | 71.23 | 85.01 | | awning | 35.96 | 44.11 | | streetlight | 26.8 | 34.91 | | booth | 62.21 | 72.75 | | television receiver | 75.9 | 87.86 | | airplane | 83.74 | 90.42 | | dirt track | 23.85 | 52.65 | | apparel | 50.48 | 65.77 | | pole | 22.23 | 31.84 | | land | 3.4 | 4.75 | | bannister | 15.39 | 20.23 | | escalator | 66.89 | 82.66 | | ottoman | 54.05 | 69.29 | | bottle | 43.44 | 67.59 | | buffet | 52.68 | 59.29 | | poster | 34.89 | 40.87 | | stage | 21.31 | 33.63 | | van | 52.46 | 70.56 | | ship | 73.6 | 77.33 | | fountain | 35.24 | 36.29 | | conveyer belt | 78.61 | 94.57 | | canopy | 47.77 | 63.31 | | washer | 85.22 | 89.99 | | plaything | 35.57 | 49.04 | | swimming pool | 58.57 | 76.83 | | stool | 50.18 | 62.41 | | barrel | 64.59 | 89.61 | | basket | 43.11 | 56.33 | | waterfall | 48.22 | 57.58 | | tent | 96.25 | 98.44 | | bag | 25.59 | 27.63 | | minibike | 73.58 | 87.41 | | cradle | 84.91 | 97.76 | | oven | 65.34 | 76.31 | | ball | 61.57 | 67.98 | | food | 61.19 | 70.12 | | step | 13.6 | 15.72 | | tank | 62.33 | 66.05 | | trade name | 25.19 | 28.39 | | microwave | 91.1 | 95.21 | | pot | 59.29 | 67.33 | | animal | 69.51 | 71.36 | | bicycle | 59.86 | 77.39 | | lake | 53.72 | 64.1 | | dishwasher | 74.77 | 82.75 | | screen | 61.8 | 87.13 | | blanket | 26.7 | 30.88 | | sculpture | 76.06 | 87.98 | | hood | 63.08 | 74.38 | | sconce | 54.49 | 67.6 | | vase | 47.45 | 64.64 | | traffic light | 36.71 | 54.16 | | tray | 22.82 | 28.66 | | ashcan | 51.69 | 64.39 | | fan | 64.07 | 76.67 | | pier | 39.64 | 46.02 | | crt screen | 7.4 | 17.83 | | plate | 60.81 | 77.58 | | monitor | 23.57 | 27.16 | | bulletin board | 53.9 | 68.14 | | shower | 14.41 | 20.05 | | radiator | 64.51 | 77.34 | | glass | 19.78 | 21.75 | | clock | 49.92 | 65.93 | | flag | 68.7 | 76.14 | +---------------------+-------+-------+ 2023-11-03 04:14:18,859 - mmseg - INFO - Summary: 2023-11-03 04:14:18,859 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 85.95 | 57.12 | 68.89 | +-------+-------+-------+ 2023-11-03 04:14:18,859 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-03 04:14:18,860 - mmseg - INFO - Iter(val) [250] aAcc: 0.8595, mIoU: 0.5712, mAcc: 0.6889, IoU.wall: 0.8117, IoU.building: 0.8423, IoU.sky: 0.9466, IoU.floor: 0.8469, IoU.tree: 0.7696, IoU.ceiling: 0.8701, IoU.road: 0.8690, IoU.bed : 0.9208, IoU.windowpane: 0.6700, IoU.grass: 0.6804, IoU.cabinet: 0.6697, IoU.sidewalk: 0.7061, IoU.person: 0.8373, IoU.earth: 0.4176, IoU.door: 0.6128, IoU.table: 0.7085, IoU.mountain: 0.6353, IoU.plant: 0.5426, IoU.curtain: 0.7782, IoU.chair: 0.6354, IoU.car: 0.8699, IoU.water: 0.6049, IoU.painting: 0.7818, IoU.sofa: 0.8377, IoU.shelf: 0.4755, IoU.house: 0.4825, IoU.sea: 0.7034, IoU.mirror: 0.7713, IoU.rug: 0.6720, IoU.field: 0.2712, IoU.armchair: 0.6525, IoU.seat: 0.6437, IoU.fence: 0.5186, IoU.desk: 0.5912, IoU.rock: 0.5628, IoU.wardrobe: 0.5369, IoU.lamp: 0.7220, IoU.bathtub: 0.8768, IoU.railing: 0.4061, IoU.cushion: 0.6578, IoU.base: 0.3758, IoU.box: 0.4083, IoU.column: 0.5178, IoU.signboard: 0.3926, IoU.chest of drawers: 0.5170, IoU.counter: 0.3734, IoU.sand: 0.6004, IoU.sink: 0.8233, IoU.skyscraper: 0.4426, IoU.fireplace: 0.7326, IoU.refrigerator: 0.8730, IoU.grandstand: 0.5248, IoU.path: 0.2595, IoU.stairs: 0.2850, IoU.runway: 0.7370, IoU.case: 0.6014, IoU.pool table: 0.9431, IoU.pillow: 0.6259, IoU.screen door: 0.8065, IoU.stairway: 0.4016, IoU.river: 0.1484, IoU.bridge: 0.7631, IoU.bookcase: 0.4037, IoU.blind: 0.4171, IoU.coffee table: 0.6428, IoU.toilet: 0.8998, IoU.flower: 0.4182, IoU.book: 0.5229, IoU.hill: 0.0779, IoU.bench: 0.5450, IoU.countertop: 0.6484, IoU.stove: 0.8673, IoU.palm: 0.5344, IoU.kitchen island: 0.5556, IoU.computer: 0.7811, IoU.swivel chair: 0.4335, IoU.boat: 0.8041, IoU.bar: 0.6152, IoU.arcade machine: 0.6677, IoU.hovel: 0.2296, IoU.bus: 0.9315, IoU.towel: 0.7587, IoU.light: 0.4944, IoU.truck: 0.5140, IoU.tower: 0.3291, IoU.chandelier: 0.7123, IoU.awning: 0.3596, IoU.streetlight: 0.2680, IoU.booth: 0.6221, IoU.television receiver: 0.7590, IoU.airplane: 0.8374, IoU.dirt track: 0.2385, IoU.apparel: 0.5048, IoU.pole: 0.2223, IoU.land: 0.0340, IoU.bannister: 0.1539, IoU.escalator: 0.6689, IoU.ottoman: 0.5405, IoU.bottle: 0.4344, IoU.buffet: 0.5268, IoU.poster: 0.3489, IoU.stage: 0.2131, IoU.van: 0.5246, IoU.ship: 0.7360, IoU.fountain: 0.3524, IoU.conveyer belt: 0.7861, IoU.canopy: 0.4777, IoU.washer: 0.8522, IoU.plaything: 0.3557, IoU.swimming pool: 0.5857, IoU.stool: 0.5018, IoU.barrel: 0.6459, IoU.basket: 0.4311, IoU.waterfall: 0.4822, IoU.tent: 0.9625, IoU.bag: 0.2559, IoU.minibike: 0.7358, IoU.cradle: 0.8491, IoU.oven: 0.6534, IoU.ball: 0.6157, IoU.food: 0.6119, IoU.step: 0.1360, IoU.tank: 0.6233, IoU.trade name: 0.2519, IoU.microwave: 0.9110, IoU.pot: 0.5929, IoU.animal: 0.6951, IoU.bicycle: 0.5986, IoU.lake: 0.5372, IoU.dishwasher: 0.7477, IoU.screen: 0.6180, IoU.blanket: 0.2670, IoU.sculpture: 0.7606, IoU.hood: 0.6308, IoU.sconce: 0.5449, IoU.vase: 0.4745, IoU.traffic light: 0.3671, IoU.tray: 0.2282, IoU.ashcan: 0.5169, IoU.fan: 0.6407, IoU.pier: 0.3964, IoU.crt screen: 0.0740, IoU.plate: 0.6081, IoU.monitor: 0.2357, IoU.bulletin board: 0.5390, IoU.shower: 0.1441, IoU.radiator: 0.6451, IoU.glass: 0.1978, IoU.clock: 0.4992, IoU.flag: 0.6870, Acc.wall: 0.8948, Acc.building: 0.9398, Acc.sky: 0.9741, Acc.floor: 0.9208, Acc.tree: 0.8950, Acc.ceiling: 0.9437, Acc.road: 0.9186, Acc.bed : 0.9752, Acc.windowpane: 0.8232, Acc.grass: 0.8336, Acc.cabinet: 0.7743, Acc.sidewalk: 0.8392, Acc.person: 0.9334, Acc.earth: 0.5419, Acc.door: 0.7479, Acc.table: 0.8177, Acc.mountain: 0.7635, Acc.plant: 0.6701, Acc.curtain: 0.8921, Acc.chair: 0.7587, Acc.car: 0.9378, Acc.water: 0.7539, Acc.painting: 0.8928, Acc.sofa: 0.9172, Acc.shelf: 0.6451, Acc.house: 0.5826, Acc.sea: 0.8879, Acc.mirror: 0.8758, Acc.rug: 0.7785, Acc.field: 0.4475, Acc.armchair: 0.7858, Acc.seat: 0.8895, Acc.fence: 0.6674, Acc.desk: 0.7883, Acc.rock: 0.8428, Acc.wardrobe: 0.7266, Acc.lamp: 0.8273, Acc.bathtub: 0.9089, Acc.railing: 0.5576, Acc.cushion: 0.7899, Acc.base: 0.5046, Acc.box: 0.4964, Acc.column: 0.6371, Acc.signboard: 0.5211, Acc.chest of drawers: 0.7240, Acc.counter: 0.4718, Acc.sand: 0.8745, Acc.sink: 0.8903, Acc.skyscraper: 0.5611, Acc.fireplace: 0.9048, Acc.refrigerator: 0.9326, Acc.grandstand: 0.8332, Acc.path: 0.3413, Acc.stairs: 0.3528, Acc.runway: 0.9420, Acc.case: 0.8183, Acc.pool table: 0.9754, Acc.pillow: 0.7380, Acc.screen door: 0.8258, Acc.stairway: 0.5695, Acc.river: 0.2494, Acc.bridge: 0.8555, Acc.bookcase: 0.5793, Acc.blind: 0.4607, Acc.coffee table: 0.8312, Acc.toilet: 0.9386, Acc.flower: 0.5993, Acc.book: 0.7576, Acc.hill: 0.1080, Acc.bench: 0.6106, Acc.countertop: 0.8218, Acc.stove: 0.9287, Acc.palm: 0.7902, Acc.kitchen island: 0.8155, Acc.computer: 0.8891, Acc.swivel chair: 0.6395, Acc.boat: 0.9121, Acc.bar: 0.8197, Acc.arcade machine: 0.6836, Acc.hovel: 0.2448, Acc.bus: 0.9703, Acc.towel: 0.8499, Acc.light: 0.5867, Acc.truck: 0.6221, Acc.tower: 0.5417, Acc.chandelier: 0.8501, Acc.awning: 0.4411, Acc.streetlight: 0.3491, Acc.booth: 0.7275, Acc.television receiver: 0.8786, Acc.airplane: 0.9042, Acc.dirt track: 0.5265, Acc.apparel: 0.6577, Acc.pole: 0.3184, Acc.land: 0.0475, Acc.bannister: 0.2023, Acc.escalator: 0.8266, Acc.ottoman: 0.6929, Acc.bottle: 0.6759, Acc.buffet: 0.5929, Acc.poster: 0.4087, Acc.stage: 0.3363, Acc.van: 0.7056, Acc.ship: 0.7733, Acc.fountain: 0.3629, Acc.conveyer belt: 0.9457, Acc.canopy: 0.6331, Acc.washer: 0.8999, Acc.plaything: 0.4904, Acc.swimming pool: 0.7683, Acc.stool: 0.6241, Acc.barrel: 0.8961, Acc.basket: 0.5633, Acc.waterfall: 0.5758, Acc.tent: 0.9844, Acc.bag: 0.2763, Acc.minibike: 0.8741, Acc.cradle: 0.9776, Acc.oven: 0.7631, Acc.ball: 0.6798, Acc.food: 0.7012, Acc.step: 0.1572, Acc.tank: 0.6605, Acc.trade name: 0.2839, Acc.microwave: 0.9521, Acc.pot: 0.6733, Acc.animal: 0.7136, Acc.bicycle: 0.7739, Acc.lake: 0.6410, Acc.dishwasher: 0.8275, Acc.screen: 0.8713, Acc.blanket: 0.3088, Acc.sculpture: 0.8798, Acc.hood: 0.7438, Acc.sconce: 0.6760, Acc.vase: 0.6464, Acc.traffic light: 0.5416, Acc.tray: 0.2866, Acc.ashcan: 0.6439, Acc.fan: 0.7667, Acc.pier: 0.4602, Acc.crt screen: 0.1783, Acc.plate: 0.7758, Acc.monitor: 0.2716, Acc.bulletin board: 0.6814, Acc.shower: 0.2005, Acc.radiator: 0.7734, Acc.glass: 0.2175, Acc.clock: 0.6593, Acc.flag: 0.7614 2023-11-03 04:15:19,629 - mmseg - INFO - Iter [71050/80000] lr: 3.625e-07, eta: 3:18:53, time: 2.485, data_time: 1.277, memory: 38534, decode.loss_ce: 0.1385, decode.acc_seg: 93.9962, loss: 0.1385 2023-11-03 04:16:20,308 - mmseg - INFO - Iter [71100/80000] lr: 3.605e-07, eta: 3:17:46, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1357, decode.acc_seg: 94.0131, loss: 0.1357 2023-11-03 04:17:20,966 - mmseg - INFO - Iter [71150/80000] lr: 3.584e-07, eta: 3:16:38, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1394, decode.acc_seg: 93.9086, loss: 0.1394 2023-11-03 04:18:21,651 - mmseg - INFO - Iter [71200/80000] lr: 3.564e-07, eta: 3:15:31, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1378, decode.acc_seg: 93.9395, loss: 0.1378 2023-11-03 04:19:22,309 - mmseg - INFO - Iter [71250/80000] lr: 3.544e-07, eta: 3:14:23, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1367, decode.acc_seg: 94.1121, loss: 0.1367 2023-11-03 04:20:23,021 - mmseg - INFO - Iter [71300/80000] lr: 3.524e-07, eta: 3:13:16, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1333, decode.acc_seg: 93.9442, loss: 0.1333 2023-11-03 04:21:23,734 - mmseg - INFO - Iter [71350/80000] lr: 3.503e-07, eta: 3:12:09, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1454, decode.acc_seg: 93.7476, loss: 0.1454 2023-11-03 04:22:24,492 - mmseg - INFO - Iter [71400/80000] lr: 3.483e-07, eta: 3:11:01, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1339, decode.acc_seg: 94.1287, loss: 0.1339 2023-11-03 04:23:25,228 - mmseg - INFO - Iter [71450/80000] lr: 3.463e-07, eta: 3:09:54, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1505, decode.acc_seg: 93.4758, loss: 0.1505 2023-11-03 04:24:25,928 - mmseg - INFO - Iter [71500/80000] lr: 3.443e-07, eta: 3:08:47, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1364, decode.acc_seg: 93.8944, loss: 0.1364 2023-11-03 04:25:26,625 - mmseg - INFO - Iter [71550/80000] lr: 3.422e-07, eta: 3:07:39, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1319, decode.acc_seg: 94.1599, loss: 0.1319 2023-11-03 04:26:27,334 - mmseg - INFO - Iter [71600/80000] lr: 3.402e-07, eta: 3:06:32, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1403, decode.acc_seg: 93.7731, loss: 0.1403 2023-11-03 04:27:28,000 - mmseg - INFO - Iter [71650/80000] lr: 3.382e-07, eta: 3:05:25, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1349, decode.acc_seg: 94.1306, loss: 0.1349 2023-11-03 04:28:28,673 - mmseg - INFO - Iter [71700/80000] lr: 3.362e-07, eta: 3:04:17, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1311, decode.acc_seg: 94.3608, loss: 0.1311 2023-11-03 04:29:29,343 - mmseg - INFO - Iter [71750/80000] lr: 3.341e-07, eta: 3:03:10, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1456, decode.acc_seg: 93.7713, loss: 0.1456 2023-11-03 04:30:30,017 - mmseg - INFO - Iter [71800/80000] lr: 3.321e-07, eta: 3:02:03, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1354, decode.acc_seg: 94.0283, loss: 0.1354 2023-11-03 04:31:30,692 - mmseg - INFO - Iter [71850/80000] lr: 3.301e-07, eta: 3:00:55, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1417, decode.acc_seg: 93.7773, loss: 0.1417 2023-11-03 04:32:31,353 - mmseg - INFO - Iter [71900/80000] lr: 3.281e-07, eta: 2:59:48, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1362, decode.acc_seg: 94.0331, loss: 0.1362 2023-11-03 04:33:32,070 - mmseg - INFO - Iter [71950/80000] lr: 3.260e-07, eta: 2:58:41, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1340, decode.acc_seg: 94.1095, loss: 0.1340 2023-11-03 04:34:35,063 - mmseg - INFO - Saving checkpoint at 72000 iterations 2023-11-03 04:35:31,622 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-03 04:35:31,622 - mmseg - INFO - Iter [72000/80000] lr: 3.240e-07, eta: 2:57:40, time: 2.391, data_time: 0.051, memory: 38534, decode.loss_ce: 0.1382, decode.acc_seg: 93.9296, loss: 0.1382 2023-11-03 04:36:33,721 - mmseg - INFO - per class results: 2023-11-03 04:36:33,726 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 81.31 | 90.1 | | building | 84.2 | 93.89 | | sky | 94.64 | 97.47 | | floor | 84.48 | 91.6 | | tree | 76.9 | 90.06 | | ceiling | 87.05 | 94.31 | | road | 87.04 | 91.68 | | bed | 92.11 | 97.37 | | windowpane | 67.2 | 82.03 | | grass | 68.43 | 80.94 | | cabinet | 66.73 | 76.47 | | sidewalk | 71.34 | 84.6 | | person | 83.7 | 93.06 | | earth | 41.6 | 56.51 | | door | 61.22 | 74.29 | | table | 70.66 | 83.07 | | mountain | 63.55 | 75.09 | | plant | 53.56 | 65.24 | | curtain | 77.8 | 88.78 | | chair | 63.61 | 75.96 | | car | 87.15 | 93.07 | | water | 59.98 | 75.51 | | painting | 78.06 | 88.77 | | sofa | 83.51 | 92.11 | | shelf | 48.61 | 64.1 | | house | 45.99 | 56.36 | | sea | 70.87 | 91.34 | | mirror | 76.8 | 87.04 | | rug | 66.07 | 77.01 | | field | 28.1 | 46.7 | | armchair | 65.27 | 80.34 | | seat | 64.34 | 88.3 | | fence | 52.26 | 66.86 | | desk | 58.67 | 79.31 | | rock | 55.82 | 84.97 | | wardrobe | 54.14 | 71.6 | | lamp | 72.12 | 83.16 | | bathtub | 88.18 | 91.32 | | railing | 41.66 | 58.79 | | cushion | 65.87 | 78.72 | | base | 38.86 | 51.1 | | box | 40.45 | 48.66 | | column | 51.63 | 62.13 | | signboard | 38.53 | 50.3 | | chest of drawers | 51.04 | 76.31 | | counter | 38.66 | 48.57 | | sand | 60.24 | 86.77 | | sink | 82.14 | 88.58 | | skyscraper | 44.65 | 57.25 | | fireplace | 74.59 | 90.41 | | refrigerator | 87.25 | 92.87 | | grandstand | 52.35 | 82.49 | | path | 23.56 | 29.87 | | stairs | 29.19 | 35.69 | | runway | 75.04 | 95.94 | | case | 59.15 | 79.82 | | pool table | 94.26 | 97.71 | | pillow | 62.08 | 72.49 | | screen door | 79.47 | 80.93 | | stairway | 39.97 | 55.97 | | river | 13.78 | 20.03 | | bridge | 75.25 | 84.9 | | bookcase | 41.68 | 58.56 | | blind | 40.1 | 43.97 | | coffee table | 63.66 | 84.22 | | toilet | 90.19 | 93.78 | | flower | 41.75 | 60.76 | | book | 51.94 | 73.95 | | hill | 11.79 | 16.82 | | bench | 54.09 | 60.03 | | countertop | 65.18 | 81.81 | | stove | 86.58 | 93.04 | | palm | 53.27 | 78.8 | | kitchen island | 57.62 | 81.28 | | computer | 77.12 | 89.24 | | swivel chair | 43.59 | 65.76 | | boat | 80.76 | 91.22 | | bar | 60.15 | 79.3 | | arcade machine | 67.6 | 69.34 | | hovel | 24.47 | 26.09 | | bus | 93.42 | 96.67 | | towel | 76.21 | 85.79 | | light | 48.41 | 56.36 | | truck | 51.25 | 63.88 | | tower | 32.51 | 52.41 | | chandelier | 71.04 | 82.5 | | awning | 36.36 | 46.23 | | streetlight | 28.16 | 37.17 | | booth | 61.91 | 72.04 | | television receiver | 73.88 | 88.15 | | airplane | 84.4 | 92.54 | | dirt track | 16.95 | 52.81 | | apparel | 52.25 | 65.92 | | pole | 20.88 | 30.51 | | land | 3.68 | 4.88 | | bannister | 16.09 | 20.84 | | escalator | 65.12 | 80.45 | | ottoman | 54.84 | 70.15 | | bottle | 43.43 | 63.1 | | buffet | 54.44 | 61.7 | | poster | 33.74 | 39.75 | | stage | 20.84 | 32.21 | | van | 52.57 | 73.03 | | ship | 70.58 | 73.09 | | fountain | 36.56 | 37.02 | | conveyer belt | 78.89 | 94.55 | | canopy | 46.27 | 61.15 | | washer | 85.09 | 89.56 | | plaything | 35.08 | 50.56 | | swimming pool | 54.91 | 78.97 | | stool | 50.57 | 64.77 | | barrel | 63.59 | 89.85 | | basket | 43.57 | 57.19 | | waterfall | 48.84 | 58.03 | | tent | 96.23 | 98.43 | | bag | 25.9 | 28.59 | | minibike | 73.72 | 86.79 | | cradle | 83.91 | 97.97 | | oven | 66.09 | 77.58 | | ball | 61.41 | 68.05 | | food | 61.47 | 73.11 | | step | 13.37 | 15.4 | | tank | 62.43 | 66.22 | | trade name | 24.96 | 28.19 | | microwave | 91.25 | 95.4 | | pot | 58.6 | 66.01 | | animal | 69.29 | 71.24 | | bicycle | 60.03 | 75.92 | | lake | 53.42 | 63.78 | | dishwasher | 74.72 | 82.54 | | screen | 61.31 | 90.12 | | blanket | 26.41 | 30.59 | | sculpture | 76.12 | 87.91 | | hood | 63.23 | 74.47 | | sconce | 53.0 | 64.21 | | vase | 47.4 | 63.83 | | traffic light | 35.42 | 52.86 | | tray | 22.43 | 29.34 | | ashcan | 51.53 | 64.12 | | fan | 64.09 | 76.91 | | pier | 40.55 | 45.21 | | crt screen | 2.17 | 4.59 | | plate | 60.57 | 76.12 | | monitor | 27.28 | 31.39 | | bulletin board | 53.27 | 65.15 | | shower | 14.81 | 18.62 | | radiator | 64.37 | 76.6 | | glass | 18.92 | 20.54 | | clock | 49.57 | 63.84 | | flag | 67.23 | 73.01 | +---------------------+-------+-------+ 2023-11-03 04:36:33,726 - mmseg - INFO - Summary: 2023-11-03 04:36:33,726 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 85.94 | 56.98 | 68.69 | +-------+-------+-------+ 2023-11-03 04:36:33,727 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-03 04:36:33,727 - mmseg - INFO - Iter(val) [250] aAcc: 0.8594, mIoU: 0.5698, mAcc: 0.6869, IoU.wall: 0.8131, IoU.building: 0.8420, IoU.sky: 0.9464, IoU.floor: 0.8448, IoU.tree: 0.7690, IoU.ceiling: 0.8705, IoU.road: 0.8704, IoU.bed : 0.9211, IoU.windowpane: 0.6720, IoU.grass: 0.6843, IoU.cabinet: 0.6673, IoU.sidewalk: 0.7134, IoU.person: 0.8370, IoU.earth: 0.4160, IoU.door: 0.6122, IoU.table: 0.7066, IoU.mountain: 0.6355, IoU.plant: 0.5356, IoU.curtain: 0.7780, IoU.chair: 0.6361, IoU.car: 0.8715, IoU.water: 0.5998, IoU.painting: 0.7806, IoU.sofa: 0.8351, IoU.shelf: 0.4861, IoU.house: 0.4599, IoU.sea: 0.7087, IoU.mirror: 0.7680, IoU.rug: 0.6607, IoU.field: 0.2810, IoU.armchair: 0.6527, IoU.seat: 0.6434, IoU.fence: 0.5226, IoU.desk: 0.5867, IoU.rock: 0.5582, IoU.wardrobe: 0.5414, IoU.lamp: 0.7212, IoU.bathtub: 0.8818, IoU.railing: 0.4166, IoU.cushion: 0.6587, IoU.base: 0.3886, IoU.box: 0.4045, IoU.column: 0.5163, IoU.signboard: 0.3853, IoU.chest of drawers: 0.5104, IoU.counter: 0.3866, IoU.sand: 0.6024, IoU.sink: 0.8214, IoU.skyscraper: 0.4465, IoU.fireplace: 0.7459, IoU.refrigerator: 0.8725, IoU.grandstand: 0.5235, IoU.path: 0.2356, IoU.stairs: 0.2919, IoU.runway: 0.7504, IoU.case: 0.5915, IoU.pool table: 0.9426, IoU.pillow: 0.6208, IoU.screen door: 0.7947, IoU.stairway: 0.3997, IoU.river: 0.1378, IoU.bridge: 0.7525, IoU.bookcase: 0.4168, IoU.blind: 0.4010, IoU.coffee table: 0.6366, IoU.toilet: 0.9019, IoU.flower: 0.4175, IoU.book: 0.5194, IoU.hill: 0.1179, IoU.bench: 0.5409, IoU.countertop: 0.6518, IoU.stove: 0.8658, IoU.palm: 0.5327, IoU.kitchen island: 0.5762, IoU.computer: 0.7712, IoU.swivel chair: 0.4359, IoU.boat: 0.8076, IoU.bar: 0.6015, IoU.arcade machine: 0.6760, IoU.hovel: 0.2447, IoU.bus: 0.9342, IoU.towel: 0.7621, IoU.light: 0.4841, IoU.truck: 0.5125, IoU.tower: 0.3251, IoU.chandelier: 0.7104, IoU.awning: 0.3636, IoU.streetlight: 0.2816, IoU.booth: 0.6191, IoU.television receiver: 0.7388, IoU.airplane: 0.8440, IoU.dirt track: 0.1695, IoU.apparel: 0.5225, IoU.pole: 0.2088, IoU.land: 0.0368, IoU.bannister: 0.1609, IoU.escalator: 0.6512, IoU.ottoman: 0.5484, IoU.bottle: 0.4343, IoU.buffet: 0.5444, IoU.poster: 0.3374, IoU.stage: 0.2084, IoU.van: 0.5257, IoU.ship: 0.7058, IoU.fountain: 0.3656, IoU.conveyer belt: 0.7889, IoU.canopy: 0.4627, IoU.washer: 0.8509, IoU.plaything: 0.3508, IoU.swimming pool: 0.5491, IoU.stool: 0.5057, IoU.barrel: 0.6359, IoU.basket: 0.4357, IoU.waterfall: 0.4884, IoU.tent: 0.9623, IoU.bag: 0.2590, IoU.minibike: 0.7372, IoU.cradle: 0.8391, IoU.oven: 0.6609, IoU.ball: 0.6141, IoU.food: 0.6147, IoU.step: 0.1337, IoU.tank: 0.6243, IoU.trade name: 0.2496, IoU.microwave: 0.9125, IoU.pot: 0.5860, IoU.animal: 0.6929, IoU.bicycle: 0.6003, IoU.lake: 0.5342, IoU.dishwasher: 0.7472, IoU.screen: 0.6131, IoU.blanket: 0.2641, IoU.sculpture: 0.7612, IoU.hood: 0.6323, IoU.sconce: 0.5300, IoU.vase: 0.4740, IoU.traffic light: 0.3542, IoU.tray: 0.2243, IoU.ashcan: 0.5153, IoU.fan: 0.6409, IoU.pier: 0.4055, IoU.crt screen: 0.0217, IoU.plate: 0.6057, IoU.monitor: 0.2728, IoU.bulletin board: 0.5327, IoU.shower: 0.1481, IoU.radiator: 0.6437, IoU.glass: 0.1892, IoU.clock: 0.4957, IoU.flag: 0.6723, Acc.wall: 0.9010, Acc.building: 0.9389, Acc.sky: 0.9747, Acc.floor: 0.9160, Acc.tree: 0.9006, Acc.ceiling: 0.9431, Acc.road: 0.9168, Acc.bed : 0.9737, Acc.windowpane: 0.8203, Acc.grass: 0.8094, Acc.cabinet: 0.7647, Acc.sidewalk: 0.8460, Acc.person: 0.9306, Acc.earth: 0.5651, Acc.door: 0.7429, Acc.table: 0.8307, Acc.mountain: 0.7509, Acc.plant: 0.6524, Acc.curtain: 0.8878, Acc.chair: 0.7596, Acc.car: 0.9307, Acc.water: 0.7551, Acc.painting: 0.8877, Acc.sofa: 0.9211, Acc.shelf: 0.6410, Acc.house: 0.5636, Acc.sea: 0.9134, Acc.mirror: 0.8704, Acc.rug: 0.7701, Acc.field: 0.4670, Acc.armchair: 0.8034, Acc.seat: 0.8830, Acc.fence: 0.6686, Acc.desk: 0.7931, Acc.rock: 0.8497, Acc.wardrobe: 0.7160, Acc.lamp: 0.8316, Acc.bathtub: 0.9132, Acc.railing: 0.5879, Acc.cushion: 0.7872, Acc.base: 0.5110, Acc.box: 0.4866, Acc.column: 0.6213, Acc.signboard: 0.5030, Acc.chest of drawers: 0.7631, Acc.counter: 0.4857, Acc.sand: 0.8677, Acc.sink: 0.8858, Acc.skyscraper: 0.5725, Acc.fireplace: 0.9041, Acc.refrigerator: 0.9287, Acc.grandstand: 0.8249, Acc.path: 0.2987, Acc.stairs: 0.3569, Acc.runway: 0.9594, Acc.case: 0.7982, Acc.pool table: 0.9771, Acc.pillow: 0.7249, Acc.screen door: 0.8093, Acc.stairway: 0.5597, Acc.river: 0.2003, Acc.bridge: 0.8490, Acc.bookcase: 0.5856, Acc.blind: 0.4397, Acc.coffee table: 0.8422, Acc.toilet: 0.9378, Acc.flower: 0.6076, Acc.book: 0.7395, Acc.hill: 0.1682, Acc.bench: 0.6003, Acc.countertop: 0.8181, Acc.stove: 0.9304, Acc.palm: 0.7880, Acc.kitchen island: 0.8128, Acc.computer: 0.8924, Acc.swivel chair: 0.6576, Acc.boat: 0.9122, Acc.bar: 0.7930, Acc.arcade machine: 0.6934, Acc.hovel: 0.2609, Acc.bus: 0.9667, Acc.towel: 0.8579, Acc.light: 0.5636, Acc.truck: 0.6388, Acc.tower: 0.5241, Acc.chandelier: 0.8250, Acc.awning: 0.4623, Acc.streetlight: 0.3717, Acc.booth: 0.7204, Acc.television receiver: 0.8815, Acc.airplane: 0.9254, Acc.dirt track: 0.5281, Acc.apparel: 0.6592, Acc.pole: 0.3051, Acc.land: 0.0488, Acc.bannister: 0.2084, Acc.escalator: 0.8045, Acc.ottoman: 0.7015, Acc.bottle: 0.6310, Acc.buffet: 0.6170, Acc.poster: 0.3975, Acc.stage: 0.3221, Acc.van: 0.7303, Acc.ship: 0.7309, Acc.fountain: 0.3702, Acc.conveyer belt: 0.9455, Acc.canopy: 0.6115, Acc.washer: 0.8956, Acc.plaything: 0.5056, Acc.swimming pool: 0.7897, Acc.stool: 0.6477, Acc.barrel: 0.8985, Acc.basket: 0.5719, Acc.waterfall: 0.5803, Acc.tent: 0.9843, Acc.bag: 0.2859, Acc.minibike: 0.8679, Acc.cradle: 0.9797, Acc.oven: 0.7758, Acc.ball: 0.6805, Acc.food: 0.7311, Acc.step: 0.1540, Acc.tank: 0.6622, Acc.trade name: 0.2819, Acc.microwave: 0.9540, Acc.pot: 0.6601, Acc.animal: 0.7124, Acc.bicycle: 0.7592, Acc.lake: 0.6378, Acc.dishwasher: 0.8254, Acc.screen: 0.9012, Acc.blanket: 0.3059, Acc.sculpture: 0.8791, Acc.hood: 0.7447, Acc.sconce: 0.6421, Acc.vase: 0.6383, Acc.traffic light: 0.5286, Acc.tray: 0.2934, Acc.ashcan: 0.6412, Acc.fan: 0.7691, Acc.pier: 0.4521, Acc.crt screen: 0.0459, Acc.plate: 0.7612, Acc.monitor: 0.3139, Acc.bulletin board: 0.6515, Acc.shower: 0.1862, Acc.radiator: 0.7660, Acc.glass: 0.2054, Acc.clock: 0.6384, Acc.flag: 0.7301 2023-11-03 04:37:34,598 - mmseg - INFO - Iter [72050/80000] lr: 3.220e-07, eta: 2:56:40, time: 2.460, data_time: 1.249, memory: 38534, decode.loss_ce: 0.1347, decode.acc_seg: 94.1687, loss: 0.1347 2023-11-03 04:38:35,329 - mmseg - INFO - Iter [72100/80000] lr: 3.200e-07, eta: 2:55:32, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1450, decode.acc_seg: 93.6589, loss: 0.1450 2023-11-03 04:39:36,010 - mmseg - INFO - Iter [72150/80000] lr: 3.179e-07, eta: 2:54:25, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1436, decode.acc_seg: 93.6793, loss: 0.1436 2023-11-03 04:40:36,672 - mmseg - INFO - Iter [72200/80000] lr: 3.159e-07, eta: 2:53:18, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1322, decode.acc_seg: 94.1408, loss: 0.1322 2023-11-03 04:41:37,378 - mmseg - INFO - Iter [72250/80000] lr: 3.139e-07, eta: 2:52:11, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1405, decode.acc_seg: 93.8819, loss: 0.1405 2023-11-03 04:42:38,089 - mmseg - INFO - Iter [72300/80000] lr: 3.119e-07, eta: 2:51:03, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1375, decode.acc_seg: 93.8852, loss: 0.1375 2023-11-03 04:43:38,760 - mmseg - INFO - Iter [72350/80000] lr: 3.098e-07, eta: 2:49:56, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1433, decode.acc_seg: 93.7267, loss: 0.1433 2023-11-03 04:44:39,474 - mmseg - INFO - Iter [72400/80000] lr: 3.078e-07, eta: 2:48:49, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1397, decode.acc_seg: 93.8092, loss: 0.1397 2023-11-03 04:45:40,193 - mmseg - INFO - Iter [72450/80000] lr: 3.058e-07, eta: 2:47:41, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1395, decode.acc_seg: 93.7732, loss: 0.1395 2023-11-03 04:46:40,915 - mmseg - INFO - Iter [72500/80000] lr: 3.038e-07, eta: 2:46:34, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1288, decode.acc_seg: 94.2884, loss: 0.1288 2023-11-03 04:47:41,643 - mmseg - INFO - Iter [72550/80000] lr: 3.017e-07, eta: 2:45:27, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1398, decode.acc_seg: 93.9526, loss: 0.1398 2023-11-03 04:48:42,380 - mmseg - INFO - Iter [72600/80000] lr: 2.997e-07, eta: 2:44:20, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1320, decode.acc_seg: 94.2577, loss: 0.1320 2023-11-03 04:49:43,075 - mmseg - INFO - Iter [72650/80000] lr: 2.977e-07, eta: 2:43:12, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1321, decode.acc_seg: 94.0814, loss: 0.1321 2023-11-03 04:50:43,817 - mmseg - INFO - Iter [72700/80000] lr: 2.957e-07, eta: 2:42:05, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1322, decode.acc_seg: 94.1802, loss: 0.1322 2023-11-03 04:51:44,488 - mmseg - INFO - Iter [72750/80000] lr: 2.936e-07, eta: 2:40:58, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1340, decode.acc_seg: 93.8434, loss: 0.1340 2023-11-03 04:52:45,157 - mmseg - INFO - Iter [72800/80000] lr: 2.916e-07, eta: 2:39:51, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1384, decode.acc_seg: 93.8204, loss: 0.1384 2023-11-03 04:53:45,877 - mmseg - INFO - Iter [72850/80000] lr: 2.896e-07, eta: 2:38:44, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1387, decode.acc_seg: 93.9163, loss: 0.1387 2023-11-03 04:54:46,573 - mmseg - INFO - Iter [72900/80000] lr: 2.876e-07, eta: 2:37:37, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1356, decode.acc_seg: 93.9662, loss: 0.1356 2023-11-03 04:55:47,231 - mmseg - INFO - Iter [72950/80000] lr: 2.855e-07, eta: 2:36:29, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1327, decode.acc_seg: 94.1339, loss: 0.1327 2023-11-03 04:56:47,940 - mmseg - INFO - Saving checkpoint at 73000 iterations 2023-11-03 04:57:44,864 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-03 04:57:44,864 - mmseg - INFO - Iter [73000/80000] lr: 2.835e-07, eta: 2:35:28, time: 2.353, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1359, decode.acc_seg: 94.1548, loss: 0.1359 2023-11-03 04:58:46,323 - mmseg - INFO - per class results: 2023-11-03 04:58:46,328 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 81.46 | 90.04 | | building | 84.63 | 93.23 | | sky | 94.59 | 97.62 | | floor | 84.56 | 91.95 | | tree | 77.15 | 90.09 | | ceiling | 87.05 | 93.93 | | road | 87.17 | 91.8 | | bed | 92.08 | 97.11 | | windowpane | 66.88 | 82.09 | | grass | 68.43 | 81.13 | | cabinet | 67.3 | 76.16 | | sidewalk | 71.57 | 85.4 | | person | 83.74 | 93.14 | | earth | 41.89 | 55.95 | | door | 61.69 | 76.16 | | table | 70.58 | 82.72 | | mountain | 63.42 | 75.64 | | plant | 54.79 | 67.93 | | curtain | 77.56 | 88.19 | | chair | 63.98 | 76.82 | | car | 87.17 | 93.59 | | water | 61.14 | 77.21 | | painting | 77.46 | 89.47 | | sofa | 83.49 | 91.8 | | shelf | 48.49 | 64.49 | | house | 50.53 | 62.94 | | sea | 70.6 | 88.87 | | mirror | 77.93 | 88.98 | | rug | 66.32 | 76.34 | | field | 31.6 | 51.26 | | armchair | 65.0 | 80.35 | | seat | 64.16 | 88.99 | | fence | 52.69 | 66.46 | | desk | 58.33 | 79.89 | | rock | 55.15 | 84.05 | | wardrobe | 53.14 | 71.79 | | lamp | 72.25 | 82.51 | | bathtub | 88.39 | 91.61 | | railing | 41.17 | 56.61 | | cushion | 65.68 | 78.04 | | base | 37.35 | 49.92 | | box | 40.16 | 48.16 | | column | 52.47 | 65.62 | | signboard | 39.59 | 55.01 | | chest of drawers | 51.63 | 74.49 | | counter | 36.4 | 44.47 | | sand | 59.62 | 87.21 | | sink | 81.19 | 88.3 | | skyscraper | 44.47 | 57.7 | | fireplace | 73.76 | 90.05 | | refrigerator | 86.86 | 94.4 | | grandstand | 52.99 | 82.92 | | path | 24.65 | 31.29 | | stairs | 29.46 | 36.63 | | runway | 74.37 | 95.25 | | case | 59.9 | 80.77 | | pool table | 94.2 | 97.74 | | pillow | 62.26 | 72.76 | | screen door | 80.51 | 82.51 | | stairway | 41.54 | 58.81 | | river | 14.65 | 22.31 | | bridge | 75.66 | 84.67 | | bookcase | 41.12 | 58.38 | | blind | 40.81 | 45.6 | | coffee table | 63.61 | 83.72 | | toilet | 90.14 | 93.74 | | flower | 42.36 | 60.55 | | book | 52.06 | 74.97 | | hill | 10.27 | 14.89 | | bench | 54.69 | 60.78 | | countertop | 64.49 | 81.53 | | stove | 86.28 | 92.34 | | palm | 53.44 | 80.44 | | kitchen island | 57.01 | 81.19 | | computer | 77.28 | 89.04 | | swivel chair | 43.75 | 63.57 | | boat | 80.11 | 90.05 | | bar | 59.29 | 77.16 | | arcade machine | 69.06 | 71.33 | | hovel | 24.81 | 26.5 | | bus | 93.03 | 96.89 | | towel | 76.61 | 85.3 | | light | 49.23 | 58.44 | | truck | 52.18 | 62.67 | | tower | 30.99 | 49.56 | | chandelier | 71.19 | 83.55 | | awning | 36.28 | 46.66 | | streetlight | 29.09 | 39.24 | | booth | 60.93 | 71.52 | | television receiver | 74.2 | 88.37 | | airplane | 85.19 | 91.62 | | dirt track | 20.19 | 52.64 | | apparel | 52.01 | 69.48 | | pole | 21.16 | 30.97 | | land | 3.89 | 5.12 | | bannister | 15.86 | 20.63 | | escalator | 63.89 | 79.24 | | ottoman | 56.01 | 72.83 | | bottle | 43.63 | 64.32 | | buffet | 60.91 | 71.34 | | poster | 36.56 | 43.26 | | stage | 19.34 | 29.73 | | van | 52.55 | 72.74 | | ship | 72.14 | 75.45 | | fountain | 36.1 | 36.28 | | conveyer belt | 81.1 | 93.96 | | canopy | 48.28 | 63.29 | | washer | 85.15 | 89.97 | | plaything | 34.59 | 50.66 | | swimming pool | 59.51 | 75.77 | | stool | 51.46 | 66.02 | | barrel | 64.45 | 89.74 | | basket | 43.32 | 56.53 | | waterfall | 49.25 | 57.93 | | tent | 96.28 | 98.42 | | bag | 26.75 | 29.73 | | minibike | 73.95 | 86.45 | | cradle | 83.36 | 98.38 | | oven | 64.41 | 77.65 | | ball | 63.88 | 73.1 | | food | 61.7 | 72.82 | | step | 12.99 | 15.15 | | tank | 63.24 | 66.01 | | trade name | 23.68 | 26.39 | | microwave | 90.97 | 96.06 | | pot | 58.96 | 66.87 | | animal | 68.3 | 70.18 | | bicycle | 60.16 | 75.83 | | lake | 53.36 | 63.77 | | dishwasher | 74.93 | 83.2 | | screen | 62.8 | 91.65 | | blanket | 26.39 | 30.66 | | sculpture | 76.3 | 87.46 | | hood | 63.39 | 74.56 | | sconce | 53.57 | 65.5 | | vase | 47.53 | 63.47 | | traffic light | 37.0 | 53.53 | | tray | 22.81 | 29.14 | | ashcan | 51.13 | 64.79 | | fan | 64.14 | 77.58 | | pier | 40.05 | 44.94 | | crt screen | 1.57 | 3.35 | | plate | 60.87 | 75.71 | | monitor | 26.51 | 30.22 | | bulletin board | 54.51 | 67.55 | | shower | 14.45 | 19.63 | | radiator | 65.27 | 79.66 | | glass | 19.06 | 20.69 | | clock | 49.63 | 63.15 | | flag | 67.72 | 75.71 | +---------------------+-------+-------+ 2023-11-03 04:58:46,328 - mmseg - INFO - Summary: 2023-11-03 04:58:46,328 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 86.06 | 57.25 | 69.07 | +-------+-------+-------+ 2023-11-03 04:58:46,329 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-03 04:58:46,329 - mmseg - INFO - Iter(val) [250] aAcc: 0.8606, mIoU: 0.5725, mAcc: 0.6907, IoU.wall: 0.8146, IoU.building: 0.8463, IoU.sky: 0.9459, IoU.floor: 0.8456, IoU.tree: 0.7715, IoU.ceiling: 0.8705, IoU.road: 0.8717, IoU.bed : 0.9208, IoU.windowpane: 0.6688, IoU.grass: 0.6843, IoU.cabinet: 0.6730, IoU.sidewalk: 0.7157, IoU.person: 0.8374, IoU.earth: 0.4189, IoU.door: 0.6169, IoU.table: 0.7058, IoU.mountain: 0.6342, IoU.plant: 0.5479, IoU.curtain: 0.7756, IoU.chair: 0.6398, IoU.car: 0.8717, IoU.water: 0.6114, IoU.painting: 0.7746, IoU.sofa: 0.8349, IoU.shelf: 0.4849, IoU.house: 0.5053, IoU.sea: 0.7060, IoU.mirror: 0.7793, IoU.rug: 0.6632, IoU.field: 0.3160, IoU.armchair: 0.6500, IoU.seat: 0.6416, IoU.fence: 0.5269, IoU.desk: 0.5833, IoU.rock: 0.5515, IoU.wardrobe: 0.5314, IoU.lamp: 0.7225, IoU.bathtub: 0.8839, IoU.railing: 0.4117, IoU.cushion: 0.6568, IoU.base: 0.3735, IoU.box: 0.4016, IoU.column: 0.5247, IoU.signboard: 0.3959, IoU.chest of drawers: 0.5163, IoU.counter: 0.3640, IoU.sand: 0.5962, IoU.sink: 0.8119, IoU.skyscraper: 0.4447, IoU.fireplace: 0.7376, IoU.refrigerator: 0.8686, IoU.grandstand: 0.5299, IoU.path: 0.2465, IoU.stairs: 0.2946, IoU.runway: 0.7437, IoU.case: 0.5990, IoU.pool table: 0.9420, IoU.pillow: 0.6226, IoU.screen door: 0.8051, IoU.stairway: 0.4154, IoU.river: 0.1465, IoU.bridge: 0.7566, IoU.bookcase: 0.4112, IoU.blind: 0.4081, IoU.coffee table: 0.6361, IoU.toilet: 0.9014, IoU.flower: 0.4236, IoU.book: 0.5206, IoU.hill: 0.1027, IoU.bench: 0.5469, IoU.countertop: 0.6449, IoU.stove: 0.8628, IoU.palm: 0.5344, IoU.kitchen island: 0.5701, IoU.computer: 0.7728, IoU.swivel chair: 0.4375, IoU.boat: 0.8011, IoU.bar: 0.5929, IoU.arcade machine: 0.6906, IoU.hovel: 0.2481, IoU.bus: 0.9303, IoU.towel: 0.7661, IoU.light: 0.4923, IoU.truck: 0.5218, IoU.tower: 0.3099, IoU.chandelier: 0.7119, IoU.awning: 0.3628, IoU.streetlight: 0.2909, IoU.booth: 0.6093, IoU.television receiver: 0.7420, IoU.airplane: 0.8519, IoU.dirt track: 0.2019, IoU.apparel: 0.5201, IoU.pole: 0.2116, IoU.land: 0.0389, IoU.bannister: 0.1586, IoU.escalator: 0.6389, IoU.ottoman: 0.5601, IoU.bottle: 0.4363, IoU.buffet: 0.6091, IoU.poster: 0.3656, IoU.stage: 0.1934, IoU.van: 0.5255, IoU.ship: 0.7214, IoU.fountain: 0.3610, IoU.conveyer belt: 0.8110, IoU.canopy: 0.4828, IoU.washer: 0.8515, IoU.plaything: 0.3459, IoU.swimming pool: 0.5951, IoU.stool: 0.5146, IoU.barrel: 0.6445, IoU.basket: 0.4332, IoU.waterfall: 0.4925, IoU.tent: 0.9628, IoU.bag: 0.2675, IoU.minibike: 0.7395, IoU.cradle: 0.8336, IoU.oven: 0.6441, IoU.ball: 0.6388, IoU.food: 0.6170, IoU.step: 0.1299, IoU.tank: 0.6324, IoU.trade name: 0.2368, IoU.microwave: 0.9097, IoU.pot: 0.5896, IoU.animal: 0.6830, IoU.bicycle: 0.6016, IoU.lake: 0.5336, IoU.dishwasher: 0.7493, IoU.screen: 0.6280, IoU.blanket: 0.2639, IoU.sculpture: 0.7630, IoU.hood: 0.6339, IoU.sconce: 0.5357, IoU.vase: 0.4753, IoU.traffic light: 0.3700, IoU.tray: 0.2281, IoU.ashcan: 0.5113, IoU.fan: 0.6414, IoU.pier: 0.4005, IoU.crt screen: 0.0157, IoU.plate: 0.6087, IoU.monitor: 0.2651, IoU.bulletin board: 0.5451, IoU.shower: 0.1445, IoU.radiator: 0.6527, IoU.glass: 0.1906, IoU.clock: 0.4963, IoU.flag: 0.6772, Acc.wall: 0.9004, Acc.building: 0.9323, Acc.sky: 0.9762, Acc.floor: 0.9195, Acc.tree: 0.9009, Acc.ceiling: 0.9393, Acc.road: 0.9180, Acc.bed : 0.9711, Acc.windowpane: 0.8209, Acc.grass: 0.8113, Acc.cabinet: 0.7616, Acc.sidewalk: 0.8540, Acc.person: 0.9314, Acc.earth: 0.5595, Acc.door: 0.7616, Acc.table: 0.8272, Acc.mountain: 0.7564, Acc.plant: 0.6793, Acc.curtain: 0.8819, Acc.chair: 0.7682, Acc.car: 0.9359, Acc.water: 0.7721, Acc.painting: 0.8947, Acc.sofa: 0.9180, Acc.shelf: 0.6449, Acc.house: 0.6294, Acc.sea: 0.8887, Acc.mirror: 0.8898, Acc.rug: 0.7634, Acc.field: 0.5126, Acc.armchair: 0.8035, Acc.seat: 0.8899, Acc.fence: 0.6646, Acc.desk: 0.7989, Acc.rock: 0.8405, Acc.wardrobe: 0.7179, Acc.lamp: 0.8251, Acc.bathtub: 0.9161, Acc.railing: 0.5661, Acc.cushion: 0.7804, Acc.base: 0.4992, Acc.box: 0.4816, Acc.column: 0.6562, Acc.signboard: 0.5501, Acc.chest of drawers: 0.7449, Acc.counter: 0.4447, Acc.sand: 0.8721, Acc.sink: 0.8830, Acc.skyscraper: 0.5770, Acc.fireplace: 0.9005, Acc.refrigerator: 0.9440, Acc.grandstand: 0.8292, Acc.path: 0.3129, Acc.stairs: 0.3663, Acc.runway: 0.9525, Acc.case: 0.8077, Acc.pool table: 0.9774, Acc.pillow: 0.7276, Acc.screen door: 0.8251, Acc.stairway: 0.5881, Acc.river: 0.2231, Acc.bridge: 0.8467, Acc.bookcase: 0.5838, Acc.blind: 0.4560, Acc.coffee table: 0.8372, Acc.toilet: 0.9374, Acc.flower: 0.6055, Acc.book: 0.7497, Acc.hill: 0.1489, Acc.bench: 0.6078, Acc.countertop: 0.8153, Acc.stove: 0.9234, Acc.palm: 0.8044, Acc.kitchen island: 0.8119, Acc.computer: 0.8904, Acc.swivel chair: 0.6357, Acc.boat: 0.9005, Acc.bar: 0.7716, Acc.arcade machine: 0.7133, Acc.hovel: 0.2650, Acc.bus: 0.9689, Acc.towel: 0.8530, Acc.light: 0.5844, Acc.truck: 0.6267, Acc.tower: 0.4956, Acc.chandelier: 0.8355, Acc.awning: 0.4666, Acc.streetlight: 0.3924, Acc.booth: 0.7152, Acc.television receiver: 0.8837, Acc.airplane: 0.9162, Acc.dirt track: 0.5264, Acc.apparel: 0.6948, Acc.pole: 0.3097, Acc.land: 0.0512, Acc.bannister: 0.2063, Acc.escalator: 0.7924, Acc.ottoman: 0.7283, Acc.bottle: 0.6432, Acc.buffet: 0.7134, Acc.poster: 0.4326, Acc.stage: 0.2973, Acc.van: 0.7274, Acc.ship: 0.7545, Acc.fountain: 0.3628, Acc.conveyer belt: 0.9396, Acc.canopy: 0.6329, Acc.washer: 0.8997, Acc.plaything: 0.5066, Acc.swimming pool: 0.7577, Acc.stool: 0.6602, Acc.barrel: 0.8974, Acc.basket: 0.5653, Acc.waterfall: 0.5793, Acc.tent: 0.9842, Acc.bag: 0.2973, Acc.minibike: 0.8645, Acc.cradle: 0.9838, Acc.oven: 0.7765, Acc.ball: 0.7310, Acc.food: 0.7282, Acc.step: 0.1515, Acc.tank: 0.6601, Acc.trade name: 0.2639, Acc.microwave: 0.9606, Acc.pot: 0.6687, Acc.animal: 0.7018, Acc.bicycle: 0.7583, Acc.lake: 0.6377, Acc.dishwasher: 0.8320, Acc.screen: 0.9165, Acc.blanket: 0.3066, Acc.sculpture: 0.8746, Acc.hood: 0.7456, Acc.sconce: 0.6550, Acc.vase: 0.6347, Acc.traffic light: 0.5353, Acc.tray: 0.2914, Acc.ashcan: 0.6479, Acc.fan: 0.7758, Acc.pier: 0.4494, Acc.crt screen: 0.0335, Acc.plate: 0.7571, Acc.monitor: 0.3022, Acc.bulletin board: 0.6755, Acc.shower: 0.1963, Acc.radiator: 0.7966, Acc.glass: 0.2069, Acc.clock: 0.6315, Acc.flag: 0.7571 2023-11-03 04:59:47,107 - mmseg - INFO - Iter [73050/80000] lr: 2.815e-07, eta: 2:34:26, time: 2.445, data_time: 1.237, memory: 38534, decode.loss_ce: 0.1369, decode.acc_seg: 93.9794, loss: 0.1369 2023-11-03 05:00:47,889 - mmseg - INFO - Iter [73100/80000] lr: 2.795e-07, eta: 2:33:19, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1309, decode.acc_seg: 94.2289, loss: 0.1309 2023-11-03 05:01:48,639 - mmseg - INFO - Iter [73150/80000] lr: 2.774e-07, eta: 2:32:12, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1380, decode.acc_seg: 93.8534, loss: 0.1380 2023-11-03 05:02:49,363 - mmseg - INFO - Iter [73200/80000] lr: 2.754e-07, eta: 2:31:05, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1400, decode.acc_seg: 93.9148, loss: 0.1400 2023-11-03 05:03:50,098 - mmseg - INFO - Iter [73250/80000] lr: 2.734e-07, eta: 2:29:57, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1328, decode.acc_seg: 94.1827, loss: 0.1328 2023-11-03 05:04:53,179 - mmseg - INFO - Iter [73300/80000] lr: 2.714e-07, eta: 2:28:50, time: 1.262, data_time: 0.051, memory: 38534, decode.loss_ce: 0.1405, decode.acc_seg: 93.8409, loss: 0.1405 2023-11-03 05:05:53,911 - mmseg - INFO - Iter [73350/80000] lr: 2.693e-07, eta: 2:27:43, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1384, decode.acc_seg: 93.8574, loss: 0.1384 2023-11-03 05:06:54,692 - mmseg - INFO - Iter [73400/80000] lr: 2.673e-07, eta: 2:26:36, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1375, decode.acc_seg: 93.9649, loss: 0.1375 2023-11-03 05:07:55,449 - mmseg - INFO - Iter [73450/80000] lr: 2.653e-07, eta: 2:25:29, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1317, decode.acc_seg: 94.1027, loss: 0.1317 2023-11-03 05:08:56,167 - mmseg - INFO - Iter [73500/80000] lr: 2.633e-07, eta: 2:24:22, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1407, decode.acc_seg: 93.9754, loss: 0.1407 2023-11-03 05:09:56,890 - mmseg - INFO - Iter [73550/80000] lr: 2.612e-07, eta: 2:23:15, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1392, decode.acc_seg: 93.9449, loss: 0.1392 2023-11-03 05:10:57,643 - mmseg - INFO - Iter [73600/80000] lr: 2.592e-07, eta: 2:22:08, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1299, decode.acc_seg: 94.3105, loss: 0.1299 2023-11-03 05:11:58,396 - mmseg - INFO - Iter [73650/80000] lr: 2.572e-07, eta: 2:21:00, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1381, decode.acc_seg: 93.9480, loss: 0.1381 2023-11-03 05:12:59,109 - mmseg - INFO - Iter [73700/80000] lr: 2.552e-07, eta: 2:19:53, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1379, decode.acc_seg: 93.9406, loss: 0.1379 2023-11-03 05:13:59,877 - mmseg - INFO - Iter [73750/80000] lr: 2.531e-07, eta: 2:18:46, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1286, decode.acc_seg: 94.4782, loss: 0.1286 2023-11-03 05:15:00,642 - mmseg - INFO - Iter [73800/80000] lr: 2.511e-07, eta: 2:17:39, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1352, decode.acc_seg: 94.1233, loss: 0.1352 2023-11-03 05:16:01,344 - mmseg - INFO - Iter [73850/80000] lr: 2.491e-07, eta: 2:16:32, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1363, decode.acc_seg: 94.0881, loss: 0.1363 2023-11-03 05:17:02,043 - mmseg - INFO - Iter [73900/80000] lr: 2.471e-07, eta: 2:15:25, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1378, decode.acc_seg: 93.7000, loss: 0.1378 2023-11-03 05:18:02,763 - mmseg - INFO - Iter [73950/80000] lr: 2.450e-07, eta: 2:14:18, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1377, decode.acc_seg: 94.0465, loss: 0.1377 2023-11-03 05:19:03,532 - mmseg - INFO - Saving checkpoint at 74000 iterations 2023-11-03 05:20:00,009 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-03 05:20:00,009 - mmseg - INFO - Iter [74000/80000] lr: 2.430e-07, eta: 2:13:15, time: 2.345, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1346, decode.acc_seg: 94.0616, loss: 0.1346 2023-11-03 05:20:57,992 - mmseg - INFO - per class results: 2023-11-03 05:20:57,998 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 81.36 | 89.93 | | building | 84.16 | 94.07 | | sky | 94.64 | 97.49 | | floor | 84.72 | 92.37 | | tree | 77.05 | 90.15 | | ceiling | 87.06 | 94.34 | | road | 87.0 | 91.94 | | bed | 92.05 | 97.55 | | windowpane | 67.18 | 82.07 | | grass | 68.35 | 82.78 | | cabinet | 66.83 | 75.78 | | sidewalk | 70.76 | 84.08 | | person | 83.8 | 93.07 | | earth | 41.97 | 55.39 | | door | 61.95 | 74.91 | | table | 70.42 | 82.36 | | mountain | 63.56 | 74.7 | | plant | 54.29 | 67.53 | | curtain | 78.06 | 89.28 | | chair | 63.32 | 74.74 | | car | 87.28 | 93.38 | | water | 61.05 | 76.64 | | painting | 77.86 | 88.78 | | sofa | 83.71 | 92.27 | | shelf | 48.41 | 63.62 | | house | 45.58 | 55.25 | | sea | 71.3 | 90.71 | | mirror | 77.17 | 87.03 | | rug | 67.08 | 76.58 | | field | 30.33 | 49.39 | | armchair | 64.76 | 79.27 | | seat | 64.96 | 88.19 | | fence | 52.65 | 67.54 | | desk | 59.51 | 79.21 | | rock | 56.33 | 84.58 | | wardrobe | 53.4 | 71.1 | | lamp | 72.27 | 82.3 | | bathtub | 88.9 | 92.08 | | railing | 40.47 | 55.56 | | cushion | 65.86 | 79.12 | | base | 37.68 | 49.06 | | box | 40.85 | 49.06 | | column | 51.76 | 63.03 | | signboard | 38.79 | 52.48 | | chest of drawers | 51.01 | 78.14 | | counter | 36.66 | 45.35 | | sand | 59.56 | 87.42 | | sink | 81.4 | 88.04 | | skyscraper | 44.43 | 56.55 | | fireplace | 74.34 | 90.23 | | refrigerator | 86.96 | 93.77 | | grandstand | 52.93 | 81.75 | | path | 24.19 | 31.56 | | stairs | 29.77 | 36.39 | | runway | 75.2 | 96.64 | | case | 59.99 | 80.37 | | pool table | 94.17 | 97.81 | | pillow | 60.79 | 70.3 | | screen door | 81.9 | 83.78 | | stairway | 39.92 | 56.15 | | river | 14.17 | 20.38 | | bridge | 75.05 | 82.23 | | bookcase | 41.33 | 57.86 | | blind | 40.82 | 44.79 | | coffee table | 63.4 | 84.58 | | toilet | 90.07 | 93.6 | | flower | 41.56 | 58.56 | | book | 52.11 | 74.84 | | hill | 13.2 | 18.91 | | bench | 54.7 | 61.1 | | countertop | 64.4 | 81.44 | | stove | 86.53 | 92.27 | | palm | 53.33 | 77.1 | | kitchen island | 56.58 | 82.68 | | computer | 78.16 | 88.8 | | swivel chair | 42.67 | 63.23 | | boat | 79.87 | 91.06 | | bar | 59.98 | 80.56 | | arcade machine | 69.69 | 71.77 | | hovel | 24.43 | 26.32 | | bus | 93.23 | 96.78 | | towel | 76.21 | 84.59 | | light | 48.89 | 56.76 | | truck | 52.78 | 62.75 | | tower | 29.12 | 44.95 | | chandelier | 70.83 | 81.49 | | awning | 35.23 | 44.09 | | streetlight | 27.33 | 35.21 | | booth | 61.32 | 71.45 | | television receiver | 74.21 | 88.13 | | airplane | 84.94 | 90.92 | | dirt track | 20.03 | 52.37 | | apparel | 52.71 | 69.23 | | pole | 20.99 | 29.27 | | land | 3.71 | 5.02 | | bannister | 16.18 | 20.49 | | escalator | 65.79 | 81.64 | | ottoman | 55.19 | 72.59 | | bottle | 43.33 | 63.11 | | buffet | 58.76 | 68.5 | | poster | 35.89 | 42.53 | | stage | 20.69 | 32.46 | | van | 52.21 | 71.56 | | ship | 74.31 | 78.2 | | fountain | 33.89 | 34.15 | | conveyer belt | 80.91 | 94.01 | | canopy | 48.91 | 62.24 | | washer | 85.3 | 90.21 | | plaything | 35.14 | 49.39 | | swimming pool | 57.0 | 74.97 | | stool | 51.0 | 63.71 | | barrel | 65.68 | 88.69 | | basket | 44.43 | 57.41 | | waterfall | 49.26 | 57.53 | | tent | 96.42 | 98.28 | | bag | 25.85 | 28.59 | | minibike | 74.57 | 84.89 | | cradle | 83.73 | 98.27 | | oven | 65.44 | 77.24 | | ball | 62.15 | 69.28 | | food | 62.12 | 72.97 | | step | 12.43 | 14.44 | | tank | 63.14 | 65.5 | | trade name | 24.1 | 26.63 | | microwave | 91.2 | 95.43 | | pot | 59.32 | 67.0 | | animal | 67.07 | 68.56 | | bicycle | 59.96 | 75.18 | | lake | 53.33 | 63.77 | | dishwasher | 74.53 | 83.26 | | screen | 63.19 | 90.96 | | blanket | 25.53 | 29.64 | | sculpture | 76.92 | 87.53 | | hood | 63.54 | 74.61 | | sconce | 53.25 | 64.67 | | vase | 47.2 | 63.46 | | traffic light | 35.99 | 55.84 | | tray | 21.88 | 26.43 | | ashcan | 51.6 | 63.66 | | fan | 63.94 | 75.95 | | pier | 39.91 | 45.31 | | crt screen | 2.14 | 4.57 | | plate | 61.07 | 75.49 | | monitor | 29.26 | 34.35 | | bulletin board | 52.97 | 68.4 | | shower | 16.22 | 19.08 | | radiator | 64.68 | 77.52 | | glass | 19.04 | 20.53 | | clock | 49.46 | 62.14 | | flag | 67.11 | 73.83 | +---------------------+-------+-------+ 2023-11-03 05:20:57,998 - mmseg - INFO - Summary: 2023-11-03 05:20:57,998 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 86.03 | 57.18 | 68.64 | +-------+-------+-------+ 2023-11-03 05:20:57,999 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-03 05:20:57,999 - mmseg - INFO - Iter(val) [250] aAcc: 0.8603, mIoU: 0.5718, mAcc: 0.6864, IoU.wall: 0.8136, IoU.building: 0.8416, IoU.sky: 0.9464, IoU.floor: 0.8472, IoU.tree: 0.7705, IoU.ceiling: 0.8706, IoU.road: 0.8700, IoU.bed : 0.9205, IoU.windowpane: 0.6718, IoU.grass: 0.6835, IoU.cabinet: 0.6683, IoU.sidewalk: 0.7076, IoU.person: 0.8380, IoU.earth: 0.4197, IoU.door: 0.6195, IoU.table: 0.7042, IoU.mountain: 0.6356, IoU.plant: 0.5429, IoU.curtain: 0.7806, IoU.chair: 0.6332, IoU.car: 0.8728, IoU.water: 0.6105, IoU.painting: 0.7786, IoU.sofa: 0.8371, IoU.shelf: 0.4841, IoU.house: 0.4558, IoU.sea: 0.7130, IoU.mirror: 0.7717, IoU.rug: 0.6708, IoU.field: 0.3033, IoU.armchair: 0.6476, IoU.seat: 0.6496, IoU.fence: 0.5265, IoU.desk: 0.5951, IoU.rock: 0.5633, IoU.wardrobe: 0.5340, IoU.lamp: 0.7227, IoU.bathtub: 0.8890, IoU.railing: 0.4047, IoU.cushion: 0.6586, IoU.base: 0.3768, IoU.box: 0.4085, IoU.column: 0.5176, IoU.signboard: 0.3879, IoU.chest of drawers: 0.5101, IoU.counter: 0.3666, IoU.sand: 0.5956, IoU.sink: 0.8140, IoU.skyscraper: 0.4443, IoU.fireplace: 0.7434, IoU.refrigerator: 0.8696, IoU.grandstand: 0.5293, IoU.path: 0.2419, IoU.stairs: 0.2977, IoU.runway: 0.7520, IoU.case: 0.5999, IoU.pool table: 0.9417, IoU.pillow: 0.6079, IoU.screen door: 0.8190, IoU.stairway: 0.3992, IoU.river: 0.1417, IoU.bridge: 0.7505, IoU.bookcase: 0.4133, IoU.blind: 0.4082, IoU.coffee table: 0.6340, IoU.toilet: 0.9007, IoU.flower: 0.4156, IoU.book: 0.5211, IoU.hill: 0.1320, IoU.bench: 0.5470, IoU.countertop: 0.6440, IoU.stove: 0.8653, IoU.palm: 0.5333, IoU.kitchen island: 0.5658, IoU.computer: 0.7816, IoU.swivel chair: 0.4267, IoU.boat: 0.7987, IoU.bar: 0.5998, IoU.arcade machine: 0.6969, IoU.hovel: 0.2443, IoU.bus: 0.9323, IoU.towel: 0.7621, IoU.light: 0.4889, IoU.truck: 0.5278, IoU.tower: 0.2912, IoU.chandelier: 0.7083, IoU.awning: 0.3523, IoU.streetlight: 0.2733, IoU.booth: 0.6132, IoU.television receiver: 0.7421, IoU.airplane: 0.8494, IoU.dirt track: 0.2003, IoU.apparel: 0.5271, IoU.pole: 0.2099, IoU.land: 0.0371, IoU.bannister: 0.1618, IoU.escalator: 0.6579, IoU.ottoman: 0.5519, IoU.bottle: 0.4333, IoU.buffet: 0.5876, IoU.poster: 0.3589, IoU.stage: 0.2069, IoU.van: 0.5221, IoU.ship: 0.7431, IoU.fountain: 0.3389, IoU.conveyer belt: 0.8091, IoU.canopy: 0.4891, IoU.washer: 0.8530, IoU.plaything: 0.3514, IoU.swimming pool: 0.5700, IoU.stool: 0.5100, IoU.barrel: 0.6568, IoU.basket: 0.4443, IoU.waterfall: 0.4926, IoU.tent: 0.9642, IoU.bag: 0.2585, IoU.minibike: 0.7457, IoU.cradle: 0.8373, IoU.oven: 0.6544, IoU.ball: 0.6215, IoU.food: 0.6212, IoU.step: 0.1243, IoU.tank: 0.6314, IoU.trade name: 0.2410, IoU.microwave: 0.9120, IoU.pot: 0.5932, IoU.animal: 0.6707, IoU.bicycle: 0.5996, IoU.lake: 0.5333, IoU.dishwasher: 0.7453, IoU.screen: 0.6319, IoU.blanket: 0.2553, IoU.sculpture: 0.7692, IoU.hood: 0.6354, IoU.sconce: 0.5325, IoU.vase: 0.4720, IoU.traffic light: 0.3599, IoU.tray: 0.2188, IoU.ashcan: 0.5160, IoU.fan: 0.6394, IoU.pier: 0.3991, IoU.crt screen: 0.0214, IoU.plate: 0.6107, IoU.monitor: 0.2926, IoU.bulletin board: 0.5297, IoU.shower: 0.1622, IoU.radiator: 0.6468, IoU.glass: 0.1904, IoU.clock: 0.4946, IoU.flag: 0.6711, Acc.wall: 0.8993, Acc.building: 0.9407, Acc.sky: 0.9749, Acc.floor: 0.9237, Acc.tree: 0.9015, Acc.ceiling: 0.9434, Acc.road: 0.9194, Acc.bed : 0.9755, Acc.windowpane: 0.8207, Acc.grass: 0.8278, Acc.cabinet: 0.7578, Acc.sidewalk: 0.8408, Acc.person: 0.9307, Acc.earth: 0.5539, Acc.door: 0.7491, Acc.table: 0.8236, Acc.mountain: 0.7470, Acc.plant: 0.6753, Acc.curtain: 0.8928, Acc.chair: 0.7474, Acc.car: 0.9338, Acc.water: 0.7664, Acc.painting: 0.8878, Acc.sofa: 0.9227, Acc.shelf: 0.6362, Acc.house: 0.5525, Acc.sea: 0.9071, Acc.mirror: 0.8703, Acc.rug: 0.7658, Acc.field: 0.4939, Acc.armchair: 0.7927, Acc.seat: 0.8819, Acc.fence: 0.6754, Acc.desk: 0.7921, Acc.rock: 0.8458, Acc.wardrobe: 0.7110, Acc.lamp: 0.8230, Acc.bathtub: 0.9208, Acc.railing: 0.5556, Acc.cushion: 0.7912, Acc.base: 0.4906, Acc.box: 0.4906, Acc.column: 0.6303, Acc.signboard: 0.5248, Acc.chest of drawers: 0.7814, Acc.counter: 0.4535, Acc.sand: 0.8742, Acc.sink: 0.8804, Acc.skyscraper: 0.5655, Acc.fireplace: 0.9023, Acc.refrigerator: 0.9377, Acc.grandstand: 0.8175, Acc.path: 0.3156, Acc.stairs: 0.3639, Acc.runway: 0.9664, Acc.case: 0.8037, Acc.pool table: 0.9781, Acc.pillow: 0.7030, Acc.screen door: 0.8378, Acc.stairway: 0.5615, Acc.river: 0.2038, Acc.bridge: 0.8223, Acc.bookcase: 0.5786, Acc.blind: 0.4479, Acc.coffee table: 0.8458, Acc.toilet: 0.9360, Acc.flower: 0.5856, Acc.book: 0.7484, Acc.hill: 0.1891, Acc.bench: 0.6110, Acc.countertop: 0.8144, Acc.stove: 0.9227, Acc.palm: 0.7710, Acc.kitchen island: 0.8268, Acc.computer: 0.8880, Acc.swivel chair: 0.6323, Acc.boat: 0.9106, Acc.bar: 0.8056, Acc.arcade machine: 0.7177, Acc.hovel: 0.2632, Acc.bus: 0.9678, Acc.towel: 0.8459, Acc.light: 0.5676, Acc.truck: 0.6275, Acc.tower: 0.4495, Acc.chandelier: 0.8149, Acc.awning: 0.4409, Acc.streetlight: 0.3521, Acc.booth: 0.7145, Acc.television receiver: 0.8813, Acc.airplane: 0.9092, Acc.dirt track: 0.5237, Acc.apparel: 0.6923, Acc.pole: 0.2927, Acc.land: 0.0502, Acc.bannister: 0.2049, Acc.escalator: 0.8164, Acc.ottoman: 0.7259, Acc.bottle: 0.6311, Acc.buffet: 0.6850, Acc.poster: 0.4253, Acc.stage: 0.3246, Acc.van: 0.7156, Acc.ship: 0.7820, Acc.fountain: 0.3415, Acc.conveyer belt: 0.9401, Acc.canopy: 0.6224, Acc.washer: 0.9021, Acc.plaything: 0.4939, Acc.swimming pool: 0.7497, Acc.stool: 0.6371, Acc.barrel: 0.8869, Acc.basket: 0.5741, Acc.waterfall: 0.5753, Acc.tent: 0.9828, Acc.bag: 0.2859, Acc.minibike: 0.8489, Acc.cradle: 0.9827, Acc.oven: 0.7724, Acc.ball: 0.6928, Acc.food: 0.7297, Acc.step: 0.1444, Acc.tank: 0.6550, Acc.trade name: 0.2663, Acc.microwave: 0.9543, Acc.pot: 0.6700, Acc.animal: 0.6856, Acc.bicycle: 0.7518, Acc.lake: 0.6377, Acc.dishwasher: 0.8326, Acc.screen: 0.9096, Acc.blanket: 0.2964, Acc.sculpture: 0.8753, Acc.hood: 0.7461, Acc.sconce: 0.6467, Acc.vase: 0.6346, Acc.traffic light: 0.5584, Acc.tray: 0.2643, Acc.ashcan: 0.6366, Acc.fan: 0.7595, Acc.pier: 0.4531, Acc.crt screen: 0.0457, Acc.plate: 0.7549, Acc.monitor: 0.3435, Acc.bulletin board: 0.6840, Acc.shower: 0.1908, Acc.radiator: 0.7752, Acc.glass: 0.2053, Acc.clock: 0.6214, Acc.flag: 0.7383 2023-11-03 05:21:58,761 - mmseg - INFO - Iter [74050/80000] lr: 2.410e-07, eta: 2:12:13, time: 2.375, data_time: 1.167, memory: 38534, decode.loss_ce: 0.1353, decode.acc_seg: 94.1591, loss: 0.1353 2023-11-03 05:22:59,502 - mmseg - INFO - Iter [74100/80000] lr: 2.390e-07, eta: 2:11:06, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1297, decode.acc_seg: 94.3497, loss: 0.1297 2023-11-03 05:24:00,267 - mmseg - INFO - Iter [74150/80000] lr: 2.370e-07, eta: 2:09:59, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1386, decode.acc_seg: 94.0857, loss: 0.1386 2023-11-03 05:25:00,993 - mmseg - INFO - Iter [74200/80000] lr: 2.349e-07, eta: 2:08:51, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1277, decode.acc_seg: 94.3109, loss: 0.1277 2023-11-03 05:26:01,772 - mmseg - INFO - Iter [74250/80000] lr: 2.329e-07, eta: 2:07:44, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1411, decode.acc_seg: 93.8885, loss: 0.1411 2023-11-03 05:27:02,504 - mmseg - INFO - Iter [74300/80000] lr: 2.309e-07, eta: 2:06:37, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1368, decode.acc_seg: 93.9481, loss: 0.1368 2023-11-03 05:28:03,278 - mmseg - INFO - Iter [74350/80000] lr: 2.289e-07, eta: 2:05:30, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1346, decode.acc_seg: 93.9441, loss: 0.1346 2023-11-03 05:29:03,996 - mmseg - INFO - Iter [74400/80000] lr: 2.268e-07, eta: 2:04:23, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1441, decode.acc_seg: 93.6709, loss: 0.1441 2023-11-03 05:30:04,763 - mmseg - INFO - Iter [74450/80000] lr: 2.248e-07, eta: 2:03:16, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1391, decode.acc_seg: 93.8306, loss: 0.1391 2023-11-03 05:31:05,502 - mmseg - INFO - Iter [74500/80000] lr: 2.228e-07, eta: 2:02:09, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1386, decode.acc_seg: 94.0384, loss: 0.1386 2023-11-03 05:32:09,073 - mmseg - INFO - Iter [74550/80000] lr: 2.208e-07, eta: 2:01:02, time: 1.271, data_time: 0.060, memory: 38534, decode.loss_ce: 0.1334, decode.acc_seg: 94.0991, loss: 0.1334 2023-11-03 05:33:09,809 - mmseg - INFO - Iter [74600/80000] lr: 2.187e-07, eta: 1:59:55, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1337, decode.acc_seg: 94.1774, loss: 0.1337 2023-11-03 05:34:10,553 - mmseg - INFO - Iter [74650/80000] lr: 2.167e-07, eta: 1:58:48, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1368, decode.acc_seg: 94.1865, loss: 0.1368 2023-11-03 05:35:11,290 - mmseg - INFO - Iter [74700/80000] lr: 2.147e-07, eta: 1:57:41, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1291, decode.acc_seg: 94.3701, loss: 0.1291 2023-11-03 05:36:12,061 - mmseg - INFO - Iter [74750/80000] lr: 2.127e-07, eta: 1:56:34, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1384, decode.acc_seg: 93.9286, loss: 0.1384 2023-11-03 05:37:12,815 - mmseg - INFO - Iter [74800/80000] lr: 2.106e-07, eta: 1:55:27, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1398, decode.acc_seg: 94.0457, loss: 0.1398 2023-11-03 05:38:13,570 - mmseg - INFO - Iter [74850/80000] lr: 2.086e-07, eta: 1:54:20, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1332, decode.acc_seg: 93.9815, loss: 0.1332 2023-11-03 05:39:14,336 - mmseg - INFO - Iter [74900/80000] lr: 2.066e-07, eta: 1:53:13, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1332, decode.acc_seg: 94.1518, loss: 0.1332 2023-11-03 05:40:15,105 - mmseg - INFO - Iter [74950/80000] lr: 2.046e-07, eta: 1:52:06, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1303, decode.acc_seg: 94.1602, loss: 0.1303 2023-11-03 05:41:15,891 - mmseg - INFO - Saving checkpoint at 75000 iterations 2023-11-03 05:42:12,069 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-03 05:42:12,069 - mmseg - INFO - Iter [75000/80000] lr: 2.025e-07, eta: 1:51:03, time: 2.339, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1367, decode.acc_seg: 94.0795, loss: 0.1367 2023-11-03 05:43:10,728 - mmseg - INFO - per class results: 2023-11-03 05:43:10,733 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 81.43 | 89.82 | | building | 84.02 | 94.16 | | sky | 94.66 | 97.51 | | floor | 84.56 | 92.56 | | tree | 77.07 | 89.92 | | ceiling | 87.33 | 94.27 | | road | 86.97 | 91.86 | | bed | 92.19 | 97.09 | | windowpane | 67.04 | 82.02 | | grass | 68.35 | 82.59 | | cabinet | 67.3 | 77.13 | | sidewalk | 71.08 | 84.63 | | person | 83.67 | 92.95 | | earth | 41.95 | 55.95 | | door | 61.68 | 75.23 | | table | 70.63 | 82.06 | | mountain | 63.24 | 75.38 | | plant | 54.37 | 67.61 | | curtain | 77.53 | 87.85 | | chair | 63.86 | 76.7 | | car | 87.18 | 93.54 | | water | 61.33 | 77.92 | | painting | 77.9 | 88.68 | | sofa | 83.81 | 92.07 | | shelf | 48.28 | 63.4 | | house | 44.66 | 53.9 | | sea | 70.33 | 84.55 | | mirror | 77.26 | 87.29 | | rug | 65.38 | 73.38 | | field | 30.69 | 48.96 | | armchair | 64.61 | 78.52 | | seat | 64.43 | 88.71 | | fence | 52.15 | 66.46 | | desk | 59.63 | 78.56 | | rock | 56.16 | 84.43 | | wardrobe | 53.62 | 69.93 | | lamp | 72.32 | 82.7 | | bathtub | 88.3 | 91.42 | | railing | 40.96 | 58.59 | | cushion | 66.06 | 80.34 | | base | 37.33 | 48.37 | | box | 40.38 | 48.48 | | column | 51.97 | 63.38 | | signboard | 38.85 | 52.16 | | chest of drawers | 51.53 | 73.27 | | counter | 37.41 | 47.29 | | sand | 60.22 | 86.91 | | sink | 81.17 | 88.25 | | skyscraper | 43.37 | 55.05 | | fireplace | 73.89 | 90.54 | | refrigerator | 86.79 | 93.65 | | grandstand | 52.4 | 81.4 | | path | 24.06 | 30.57 | | stairs | 29.5 | 35.59 | | runway | 74.41 | 95.03 | | case | 59.29 | 80.58 | | pool table | 94.31 | 97.43 | | pillow | 61.92 | 72.2 | | screen door | 79.98 | 81.57 | | stairway | 40.01 | 55.72 | | river | 10.57 | 20.07 | | bridge | 75.44 | 82.84 | | bookcase | 41.82 | 57.17 | | blind | 41.06 | 46.11 | | coffee table | 63.48 | 83.85 | | toilet | 90.19 | 93.61 | | flower | 41.98 | 59.86 | | book | 52.03 | 75.32 | | hill | 10.9 | 15.36 | | bench | 55.41 | 62.32 | | countertop | 65.36 | 81.79 | | stove | 86.67 | 92.51 | | palm | 53.15 | 77.47 | | kitchen island | 58.81 | 82.41 | | computer | 77.34 | 89.41 | | swivel chair | 43.55 | 63.92 | | boat | 80.29 | 89.55 | | bar | 59.95 | 81.56 | | arcade machine | 68.52 | 70.51 | | hovel | 23.5 | 25.33 | | bus | 93.62 | 96.49 | | towel | 76.03 | 86.35 | | light | 49.96 | 58.77 | | truck | 52.63 | 62.75 | | tower | 29.66 | 47.23 | | chandelier | 71.13 | 82.51 | | awning | 35.18 | 43.83 | | streetlight | 27.72 | 36.55 | | booth | 61.21 | 69.78 | | television receiver | 74.83 | 88.11 | | airplane | 83.88 | 89.39 | | dirt track | 26.06 | 51.16 | | apparel | 51.38 | 67.6 | | pole | 21.02 | 29.72 | | land | 3.61 | 4.64 | | bannister | 16.33 | 20.99 | | escalator | 65.9 | 81.8 | | ottoman | 53.84 | 68.53 | | bottle | 43.49 | 67.41 | | buffet | 54.06 | 61.61 | | poster | 33.65 | 39.16 | | stage | 21.44 | 33.57 | | van | 51.83 | 70.03 | | ship | 70.43 | 73.33 | | fountain | 27.03 | 27.23 | | conveyer belt | 81.23 | 93.62 | | canopy | 49.66 | 63.03 | | washer | 84.76 | 89.53 | | plaything | 34.97 | 50.2 | | swimming pool | 59.07 | 72.43 | | stool | 50.74 | 64.47 | | barrel | 66.36 | 91.32 | | basket | 44.0 | 57.79 | | waterfall | 49.43 | 57.05 | | tent | 96.31 | 98.21 | | bag | 26.09 | 29.41 | | minibike | 74.18 | 86.29 | | cradle | 85.19 | 97.78 | | oven | 62.49 | 72.36 | | ball | 63.04 | 70.68 | | food | 62.01 | 74.52 | | step | 12.72 | 14.93 | | tank | 62.58 | 65.5 | | trade name | 24.2 | 26.83 | | microwave | 90.99 | 95.55 | | pot | 59.38 | 67.1 | | animal | 67.8 | 69.52 | | bicycle | 60.39 | 75.33 | | lake | 53.43 | 63.77 | | dishwasher | 75.14 | 82.68 | | screen | 62.48 | 92.83 | | blanket | 26.79 | 30.99 | | sculpture | 76.74 | 87.74 | | hood | 63.61 | 74.88 | | sconce | 54.59 | 66.76 | | vase | 47.49 | 63.19 | | traffic light | 36.9 | 53.89 | | tray | 22.4 | 27.29 | | ashcan | 51.29 | 63.79 | | fan | 63.71 | 75.98 | | pier | 40.23 | 44.55 | | crt screen | 1.64 | 3.62 | | plate | 61.01 | 77.07 | | monitor | 25.35 | 29.23 | | bulletin board | 53.56 | 66.73 | | shower | 16.14 | 20.25 | | radiator | 64.54 | 77.32 | | glass | 19.61 | 21.35 | | clock | 49.9 | 63.35 | | flag | 67.4 | 74.15 | +---------------------+-------+-------+ 2023-11-03 05:43:10,733 - mmseg - INFO - Summary: 2023-11-03 05:43:10,733 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 85.99 | 57.07 | 68.42 | +-------+-------+-------+ 2023-11-03 05:43:10,734 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-03 05:43:10,735 - mmseg - INFO - Iter(val) [250] aAcc: 0.8599, mIoU: 0.5707, mAcc: 0.6842, IoU.wall: 0.8143, IoU.building: 0.8402, IoU.sky: 0.9466, IoU.floor: 0.8456, IoU.tree: 0.7707, IoU.ceiling: 0.8733, IoU.road: 0.8697, IoU.bed : 0.9219, IoU.windowpane: 0.6704, IoU.grass: 0.6835, IoU.cabinet: 0.6730, IoU.sidewalk: 0.7108, IoU.person: 0.8367, IoU.earth: 0.4195, IoU.door: 0.6168, IoU.table: 0.7063, IoU.mountain: 0.6324, IoU.plant: 0.5437, IoU.curtain: 0.7753, IoU.chair: 0.6386, IoU.car: 0.8718, IoU.water: 0.6133, IoU.painting: 0.7790, IoU.sofa: 0.8381, IoU.shelf: 0.4828, IoU.house: 0.4466, IoU.sea: 0.7033, IoU.mirror: 0.7726, IoU.rug: 0.6538, IoU.field: 0.3069, IoU.armchair: 0.6461, IoU.seat: 0.6443, IoU.fence: 0.5215, IoU.desk: 0.5963, IoU.rock: 0.5616, IoU.wardrobe: 0.5362, IoU.lamp: 0.7232, IoU.bathtub: 0.8830, IoU.railing: 0.4096, IoU.cushion: 0.6606, IoU.base: 0.3733, IoU.box: 0.4038, IoU.column: 0.5197, IoU.signboard: 0.3885, IoU.chest of drawers: 0.5153, IoU.counter: 0.3741, IoU.sand: 0.6022, IoU.sink: 0.8117, IoU.skyscraper: 0.4337, IoU.fireplace: 0.7389, IoU.refrigerator: 0.8679, IoU.grandstand: 0.5240, IoU.path: 0.2406, IoU.stairs: 0.2950, IoU.runway: 0.7441, IoU.case: 0.5929, IoU.pool table: 0.9431, IoU.pillow: 0.6192, IoU.screen door: 0.7998, IoU.stairway: 0.4001, IoU.river: 0.1057, IoU.bridge: 0.7544, IoU.bookcase: 0.4182, IoU.blind: 0.4106, IoU.coffee table: 0.6348, IoU.toilet: 0.9019, IoU.flower: 0.4198, IoU.book: 0.5203, IoU.hill: 0.1090, IoU.bench: 0.5541, IoU.countertop: 0.6536, IoU.stove: 0.8667, IoU.palm: 0.5315, IoU.kitchen island: 0.5881, IoU.computer: 0.7734, IoU.swivel chair: 0.4355, IoU.boat: 0.8029, IoU.bar: 0.5995, IoU.arcade machine: 0.6852, IoU.hovel: 0.2350, IoU.bus: 0.9362, IoU.towel: 0.7603, IoU.light: 0.4996, IoU.truck: 0.5263, IoU.tower: 0.2966, IoU.chandelier: 0.7113, IoU.awning: 0.3518, IoU.streetlight: 0.2772, IoU.booth: 0.6121, IoU.television receiver: 0.7483, IoU.airplane: 0.8388, IoU.dirt track: 0.2606, IoU.apparel: 0.5138, IoU.pole: 0.2102, IoU.land: 0.0361, IoU.bannister: 0.1633, IoU.escalator: 0.6590, IoU.ottoman: 0.5384, IoU.bottle: 0.4349, IoU.buffet: 0.5406, IoU.poster: 0.3365, IoU.stage: 0.2144, IoU.van: 0.5183, IoU.ship: 0.7043, IoU.fountain: 0.2703, IoU.conveyer belt: 0.8123, IoU.canopy: 0.4966, IoU.washer: 0.8476, IoU.plaything: 0.3497, IoU.swimming pool: 0.5907, IoU.stool: 0.5074, IoU.barrel: 0.6636, IoU.basket: 0.4400, IoU.waterfall: 0.4943, IoU.tent: 0.9631, IoU.bag: 0.2609, IoU.minibike: 0.7418, IoU.cradle: 0.8519, IoU.oven: 0.6249, IoU.ball: 0.6304, IoU.food: 0.6201, IoU.step: 0.1272, IoU.tank: 0.6258, IoU.trade name: 0.2420, IoU.microwave: 0.9099, IoU.pot: 0.5938, IoU.animal: 0.6780, IoU.bicycle: 0.6039, IoU.lake: 0.5343, IoU.dishwasher: 0.7514, IoU.screen: 0.6248, IoU.blanket: 0.2679, IoU.sculpture: 0.7674, IoU.hood: 0.6361, IoU.sconce: 0.5459, IoU.vase: 0.4749, IoU.traffic light: 0.3690, IoU.tray: 0.2240, IoU.ashcan: 0.5129, IoU.fan: 0.6371, IoU.pier: 0.4023, IoU.crt screen: 0.0164, IoU.plate: 0.6101, IoU.monitor: 0.2535, IoU.bulletin board: 0.5356, IoU.shower: 0.1614, IoU.radiator: 0.6454, IoU.glass: 0.1961, IoU.clock: 0.4990, IoU.flag: 0.6740, Acc.wall: 0.8982, Acc.building: 0.9416, Acc.sky: 0.9751, Acc.floor: 0.9256, Acc.tree: 0.8992, Acc.ceiling: 0.9427, Acc.road: 0.9186, Acc.bed : 0.9709, Acc.windowpane: 0.8202, Acc.grass: 0.8259, Acc.cabinet: 0.7713, Acc.sidewalk: 0.8463, Acc.person: 0.9295, Acc.earth: 0.5595, Acc.door: 0.7523, Acc.table: 0.8206, Acc.mountain: 0.7538, Acc.plant: 0.6761, Acc.curtain: 0.8785, Acc.chair: 0.7670, Acc.car: 0.9354, Acc.water: 0.7792, Acc.painting: 0.8868, Acc.sofa: 0.9207, Acc.shelf: 0.6340, Acc.house: 0.5390, Acc.sea: 0.8455, Acc.mirror: 0.8729, Acc.rug: 0.7338, Acc.field: 0.4896, Acc.armchair: 0.7852, Acc.seat: 0.8871, Acc.fence: 0.6646, Acc.desk: 0.7856, Acc.rock: 0.8443, Acc.wardrobe: 0.6993, Acc.lamp: 0.8270, Acc.bathtub: 0.9142, Acc.railing: 0.5859, Acc.cushion: 0.8034, Acc.base: 0.4837, Acc.box: 0.4848, Acc.column: 0.6338, Acc.signboard: 0.5216, Acc.chest of drawers: 0.7327, Acc.counter: 0.4729, Acc.sand: 0.8691, Acc.sink: 0.8825, Acc.skyscraper: 0.5505, Acc.fireplace: 0.9054, Acc.refrigerator: 0.9365, Acc.grandstand: 0.8140, Acc.path: 0.3057, Acc.stairs: 0.3559, Acc.runway: 0.9503, Acc.case: 0.8058, Acc.pool table: 0.9743, Acc.pillow: 0.7220, Acc.screen door: 0.8157, Acc.stairway: 0.5572, Acc.river: 0.2007, Acc.bridge: 0.8284, Acc.bookcase: 0.5717, Acc.blind: 0.4611, Acc.coffee table: 0.8385, Acc.toilet: 0.9361, Acc.flower: 0.5986, Acc.book: 0.7532, Acc.hill: 0.1536, Acc.bench: 0.6232, Acc.countertop: 0.8179, Acc.stove: 0.9251, Acc.palm: 0.7747, Acc.kitchen island: 0.8241, Acc.computer: 0.8941, Acc.swivel chair: 0.6392, Acc.boat: 0.8955, Acc.bar: 0.8156, Acc.arcade machine: 0.7051, Acc.hovel: 0.2533, Acc.bus: 0.9649, Acc.towel: 0.8635, Acc.light: 0.5877, Acc.truck: 0.6275, Acc.tower: 0.4723, Acc.chandelier: 0.8251, Acc.awning: 0.4383, Acc.streetlight: 0.3655, Acc.booth: 0.6978, Acc.television receiver: 0.8811, Acc.airplane: 0.8939, Acc.dirt track: 0.5116, Acc.apparel: 0.6760, Acc.pole: 0.2972, Acc.land: 0.0464, Acc.bannister: 0.2099, Acc.escalator: 0.8180, Acc.ottoman: 0.6853, Acc.bottle: 0.6741, Acc.buffet: 0.6161, Acc.poster: 0.3916, Acc.stage: 0.3357, Acc.van: 0.7003, Acc.ship: 0.7333, Acc.fountain: 0.2723, Acc.conveyer belt: 0.9362, Acc.canopy: 0.6303, Acc.washer: 0.8953, Acc.plaything: 0.5020, Acc.swimming pool: 0.7243, Acc.stool: 0.6447, Acc.barrel: 0.9132, Acc.basket: 0.5779, Acc.waterfall: 0.5705, Acc.tent: 0.9821, Acc.bag: 0.2941, Acc.minibike: 0.8629, Acc.cradle: 0.9778, Acc.oven: 0.7236, Acc.ball: 0.7068, Acc.food: 0.7452, Acc.step: 0.1493, Acc.tank: 0.6550, Acc.trade name: 0.2683, Acc.microwave: 0.9555, Acc.pot: 0.6710, Acc.animal: 0.6952, Acc.bicycle: 0.7533, Acc.lake: 0.6377, Acc.dishwasher: 0.8268, Acc.screen: 0.9283, Acc.blanket: 0.3099, Acc.sculpture: 0.8774, Acc.hood: 0.7488, Acc.sconce: 0.6676, Acc.vase: 0.6319, Acc.traffic light: 0.5389, Acc.tray: 0.2729, Acc.ashcan: 0.6379, Acc.fan: 0.7598, Acc.pier: 0.4455, Acc.crt screen: 0.0362, Acc.plate: 0.7707, Acc.monitor: 0.2923, Acc.bulletin board: 0.6673, Acc.shower: 0.2025, Acc.radiator: 0.7732, Acc.glass: 0.2135, Acc.clock: 0.6335, Acc.flag: 0.7415 2023-11-03 05:44:11,494 - mmseg - INFO - Iter [75050/80000] lr: 2.005e-07, eta: 1:49:59, time: 2.388, data_time: 1.180, memory: 38534, decode.loss_ce: 0.1380, decode.acc_seg: 93.9700, loss: 0.1380 2023-11-03 05:45:12,176 - mmseg - INFO - Iter [75100/80000] lr: 1.985e-07, eta: 1:48:52, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1346, decode.acc_seg: 94.3352, loss: 0.1346 2023-11-03 05:46:12,828 - mmseg - INFO - Iter [75150/80000] lr: 1.965e-07, eta: 1:47:45, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1307, decode.acc_seg: 94.1538, loss: 0.1307 2023-11-03 05:47:13,564 - mmseg - INFO - Iter [75200/80000] lr: 1.944e-07, eta: 1:46:38, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1385, decode.acc_seg: 93.8569, loss: 0.1385 2023-11-03 05:48:14,296 - mmseg - INFO - Iter [75250/80000] lr: 1.924e-07, eta: 1:45:31, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1402, decode.acc_seg: 93.9280, loss: 0.1402 2023-11-03 05:49:15,056 - mmseg - INFO - Iter [75300/80000] lr: 1.904e-07, eta: 1:44:24, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1349, decode.acc_seg: 93.9713, loss: 0.1349 2023-11-03 05:50:15,823 - mmseg - INFO - Iter [75350/80000] lr: 1.884e-07, eta: 1:43:17, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1390, decode.acc_seg: 93.8338, loss: 0.1390 2023-11-03 05:51:16,618 - mmseg - INFO - Iter [75400/80000] lr: 1.863e-07, eta: 1:42:10, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1336, decode.acc_seg: 94.1757, loss: 0.1336 2023-11-03 05:52:17,376 - mmseg - INFO - Iter [75450/80000] lr: 1.843e-07, eta: 1:41:03, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1316, decode.acc_seg: 94.2229, loss: 0.1316 2023-11-03 05:53:18,111 - mmseg - INFO - Iter [75500/80000] lr: 1.823e-07, eta: 1:39:56, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1455, decode.acc_seg: 93.8004, loss: 0.1455 2023-11-03 05:54:18,880 - mmseg - INFO - Iter [75550/80000] lr: 1.803e-07, eta: 1:38:49, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1342, decode.acc_seg: 94.0540, loss: 0.1342 2023-11-03 05:55:19,670 - mmseg - INFO - Iter [75600/80000] lr: 1.782e-07, eta: 1:37:42, time: 1.216, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1314, decode.acc_seg: 94.2469, loss: 0.1314 2023-11-03 05:56:20,393 - mmseg - INFO - Iter [75650/80000] lr: 1.762e-07, eta: 1:36:35, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1389, decode.acc_seg: 93.9957, loss: 0.1389 2023-11-03 05:57:21,103 - mmseg - INFO - Iter [75700/80000] lr: 1.742e-07, eta: 1:35:28, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1377, decode.acc_seg: 94.0449, loss: 0.1377 2023-11-03 05:58:21,851 - mmseg - INFO - Iter [75750/80000] lr: 1.722e-07, eta: 1:34:21, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1325, decode.acc_seg: 94.1597, loss: 0.1325 2023-11-03 05:59:24,935 - mmseg - INFO - Iter [75800/80000] lr: 1.701e-07, eta: 1:33:15, time: 1.262, data_time: 0.051, memory: 38534, decode.loss_ce: 0.1354, decode.acc_seg: 93.8763, loss: 0.1354 2023-11-03 06:00:25,683 - mmseg - INFO - Iter [75850/80000] lr: 1.681e-07, eta: 1:32:08, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1321, decode.acc_seg: 94.2181, loss: 0.1321 2023-11-03 06:01:26,442 - mmseg - INFO - Iter [75900/80000] lr: 1.661e-07, eta: 1:31:01, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1307, decode.acc_seg: 94.2316, loss: 0.1307 2023-11-03 06:02:27,268 - mmseg - INFO - Iter [75950/80000] lr: 1.641e-07, eta: 1:29:54, time: 1.217, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1310, decode.acc_seg: 94.3287, loss: 0.1310 2023-11-03 06:03:27,986 - mmseg - INFO - Saving checkpoint at 76000 iterations 2023-11-03 06:04:25,780 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-03 06:04:25,781 - mmseg - INFO - Iter [76000/80000] lr: 1.620e-07, eta: 1:28:50, time: 2.370, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1354, decode.acc_seg: 94.0508, loss: 0.1354 2023-11-03 06:05:24,016 - mmseg - INFO - per class results: 2023-11-03 06:05:24,021 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 81.47 | 89.83 | | building | 84.45 | 93.62 | | sky | 94.68 | 97.41 | | floor | 84.6 | 91.42 | | tree | 77.18 | 90.19 | | ceiling | 87.19 | 94.11 | | road | 87.04 | 91.99 | | bed | 92.14 | 97.36 | | windowpane | 66.99 | 82.61 | | grass | 68.62 | 82.83 | | cabinet | 66.88 | 76.49 | | sidewalk | 70.93 | 84.47 | | person | 83.7 | 93.34 | | earth | 42.45 | 55.41 | | door | 62.01 | 75.37 | | table | 70.33 | 82.16 | | mountain | 63.56 | 75.94 | | plant | 54.71 | 68.6 | | curtain | 77.81 | 89.0 | | chair | 63.61 | 77.11 | | car | 87.16 | 93.66 | | water | 61.17 | 76.68 | | painting | 77.93 | 89.2 | | sofa | 83.69 | 92.23 | | shelf | 48.18 | 63.43 | | house | 47.75 | 58.42 | | sea | 70.04 | 84.99 | | mirror | 77.05 | 86.88 | | rug | 66.8 | 78.47 | | field | 31.31 | 51.41 | | armchair | 64.67 | 79.13 | | seat | 64.68 | 88.76 | | fence | 52.13 | 67.08 | | desk | 59.2 | 79.39 | | rock | 55.42 | 83.3 | | wardrobe | 53.52 | 70.82 | | lamp | 72.29 | 83.8 | | bathtub | 88.64 | 92.05 | | railing | 41.25 | 57.64 | | cushion | 66.12 | 80.22 | | base | 38.33 | 51.69 | | box | 40.09 | 48.21 | | column | 51.96 | 63.7 | | signboard | 39.65 | 54.49 | | chest of drawers | 51.46 | 75.91 | | counter | 38.02 | 47.77 | | sand | 59.98 | 87.16 | | sink | 81.69 | 88.35 | | skyscraper | 43.6 | 56.4 | | fireplace | 72.94 | 91.29 | | refrigerator | 86.99 | 93.84 | | grandstand | 52.21 | 83.08 | | path | 26.23 | 34.12 | | stairs | 29.29 | 35.61 | | runway | 74.42 | 95.18 | | case | 59.99 | 81.1 | | pool table | 94.17 | 97.85 | | pillow | 61.48 | 71.4 | | screen door | 81.17 | 83.05 | | stairway | 42.95 | 60.66 | | river | 10.81 | 20.13 | | bridge | 75.44 | 82.82 | | bookcase | 41.88 | 59.2 | | blind | 41.49 | 45.91 | | coffee table | 61.6 | 84.56 | | toilet | 90.13 | 93.73 | | flower | 42.74 | 62.01 | | book | 51.8 | 73.69 | | hill | 10.08 | 14.16 | | bench | 54.63 | 60.84 | | countertop | 65.2 | 81.79 | | stove | 86.64 | 92.38 | | palm | 53.26 | 78.21 | | kitchen island | 56.39 | 82.9 | | computer | 77.03 | 89.02 | | swivel chair | 43.05 | 66.71 | | boat | 79.7 | 89.96 | | bar | 61.03 | 82.39 | | arcade machine | 69.3 | 71.45 | | hovel | 24.5 | 26.38 | | bus | 93.49 | 96.54 | | towel | 76.43 | 85.77 | | light | 48.32 | 56.24 | | truck | 52.75 | 63.02 | | tower | 30.17 | 47.2 | | chandelier | 71.21 | 82.77 | | awning | 35.77 | 44.61 | | streetlight | 27.59 | 35.83 | | booth | 61.26 | 69.98 | | television receiver | 74.94 | 88.29 | | airplane | 83.72 | 89.74 | | dirt track | 29.51 | 51.11 | | apparel | 53.26 | 69.63 | | pole | 22.33 | 33.21 | | land | 3.62 | 4.44 | | bannister | 15.9 | 20.17 | | escalator | 67.16 | 83.7 | | ottoman | 54.04 | 70.23 | | bottle | 43.11 | 65.57 | | buffet | 55.79 | 63.34 | | poster | 38.17 | 45.55 | | stage | 22.08 | 34.49 | | van | 51.87 | 71.34 | | ship | 73.58 | 77.35 | | fountain | 33.18 | 33.66 | | conveyer belt | 80.93 | 93.73 | | canopy | 49.41 | 64.07 | | washer | 85.43 | 90.37 | | plaything | 34.63 | 51.06 | | swimming pool | 57.66 | 74.92 | | stool | 50.72 | 67.75 | | barrel | 65.25 | 89.23 | | basket | 43.73 | 57.6 | | waterfall | 48.85 | 57.82 | | tent | 96.27 | 98.24 | | bag | 25.06 | 27.47 | | minibike | 74.79 | 87.06 | | cradle | 85.23 | 97.92 | | oven | 62.6 | 72.56 | | ball | 63.17 | 70.79 | | food | 61.94 | 74.25 | | step | 11.08 | 13.04 | | tank | 62.55 | 65.69 | | trade name | 26.22 | 30.57 | | microwave | 91.07 | 95.46 | | pot | 59.22 | 67.05 | | animal | 69.93 | 72.02 | | bicycle | 60.33 | 76.88 | | lake | 53.18 | 63.78 | | dishwasher | 74.76 | 82.79 | | screen | 62.58 | 92.13 | | blanket | 26.47 | 30.69 | | sculpture | 75.87 | 88.27 | | hood | 63.54 | 74.49 | | sconce | 55.85 | 71.04 | | vase | 47.3 | 63.75 | | traffic light | 37.63 | 55.62 | | tray | 22.48 | 28.22 | | ashcan | 51.62 | 63.96 | | fan | 63.6 | 76.12 | | pier | 40.06 | 44.98 | | crt screen | 1.78 | 4.01 | | plate | 61.13 | 75.68 | | monitor | 24.7 | 28.27 | | bulletin board | 54.53 | 66.39 | | shower | 14.71 | 20.89 | | radiator | 64.84 | 77.63 | | glass | 19.77 | 21.61 | | clock | 49.59 | 62.42 | | flag | 67.96 | 76.18 | +---------------------+-------+-------+ 2023-11-03 06:05:24,021 - mmseg - INFO - Summary: 2023-11-03 06:05:24,022 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 86.04 | 57.28 | 69.03 | +-------+-------+-------+ 2023-11-03 06:05:24,022 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-03 06:05:24,023 - mmseg - INFO - Iter(val) [250] aAcc: 0.8604, mIoU: 0.5728, mAcc: 0.6903, IoU.wall: 0.8147, IoU.building: 0.8445, IoU.sky: 0.9468, IoU.floor: 0.8460, IoU.tree: 0.7718, IoU.ceiling: 0.8719, IoU.road: 0.8704, IoU.bed : 0.9214, IoU.windowpane: 0.6699, IoU.grass: 0.6862, IoU.cabinet: 0.6688, IoU.sidewalk: 0.7093, IoU.person: 0.8370, IoU.earth: 0.4245, IoU.door: 0.6201, IoU.table: 0.7033, IoU.mountain: 0.6356, IoU.plant: 0.5471, IoU.curtain: 0.7781, IoU.chair: 0.6361, IoU.car: 0.8716, IoU.water: 0.6117, IoU.painting: 0.7793, IoU.sofa: 0.8369, IoU.shelf: 0.4818, IoU.house: 0.4775, IoU.sea: 0.7004, IoU.mirror: 0.7705, IoU.rug: 0.6680, IoU.field: 0.3131, IoU.armchair: 0.6467, IoU.seat: 0.6468, IoU.fence: 0.5213, IoU.desk: 0.5920, IoU.rock: 0.5542, IoU.wardrobe: 0.5352, IoU.lamp: 0.7229, IoU.bathtub: 0.8864, IoU.railing: 0.4125, IoU.cushion: 0.6612, IoU.base: 0.3833, IoU.box: 0.4009, IoU.column: 0.5196, IoU.signboard: 0.3965, IoU.chest of drawers: 0.5146, IoU.counter: 0.3802, IoU.sand: 0.5998, IoU.sink: 0.8169, IoU.skyscraper: 0.4360, IoU.fireplace: 0.7294, IoU.refrigerator: 0.8699, IoU.grandstand: 0.5221, IoU.path: 0.2623, IoU.stairs: 0.2929, IoU.runway: 0.7442, IoU.case: 0.5999, IoU.pool table: 0.9417, IoU.pillow: 0.6148, IoU.screen door: 0.8117, IoU.stairway: 0.4295, IoU.river: 0.1081, IoU.bridge: 0.7544, IoU.bookcase: 0.4188, IoU.blind: 0.4149, IoU.coffee table: 0.6160, IoU.toilet: 0.9013, IoU.flower: 0.4274, IoU.book: 0.5180, IoU.hill: 0.1008, IoU.bench: 0.5463, IoU.countertop: 0.6520, IoU.stove: 0.8664, IoU.palm: 0.5326, IoU.kitchen island: 0.5639, IoU.computer: 0.7703, IoU.swivel chair: 0.4305, IoU.boat: 0.7970, IoU.bar: 0.6103, IoU.arcade machine: 0.6930, IoU.hovel: 0.2450, IoU.bus: 0.9349, IoU.towel: 0.7643, IoU.light: 0.4832, IoU.truck: 0.5275, IoU.tower: 0.3017, IoU.chandelier: 0.7121, IoU.awning: 0.3577, IoU.streetlight: 0.2759, IoU.booth: 0.6126, IoU.television receiver: 0.7494, IoU.airplane: 0.8372, IoU.dirt track: 0.2951, IoU.apparel: 0.5326, IoU.pole: 0.2233, IoU.land: 0.0362, IoU.bannister: 0.1590, IoU.escalator: 0.6716, IoU.ottoman: 0.5404, IoU.bottle: 0.4311, IoU.buffet: 0.5579, IoU.poster: 0.3817, IoU.stage: 0.2208, IoU.van: 0.5187, IoU.ship: 0.7358, IoU.fountain: 0.3318, IoU.conveyer belt: 0.8093, IoU.canopy: 0.4941, IoU.washer: 0.8543, IoU.plaything: 0.3463, IoU.swimming pool: 0.5766, IoU.stool: 0.5072, IoU.barrel: 0.6525, IoU.basket: 0.4373, IoU.waterfall: 0.4885, IoU.tent: 0.9627, IoU.bag: 0.2506, IoU.minibike: 0.7479, IoU.cradle: 0.8523, IoU.oven: 0.6260, IoU.ball: 0.6317, IoU.food: 0.6194, IoU.step: 0.1108, IoU.tank: 0.6255, IoU.trade name: 0.2622, IoU.microwave: 0.9107, IoU.pot: 0.5922, IoU.animal: 0.6993, IoU.bicycle: 0.6033, IoU.lake: 0.5318, IoU.dishwasher: 0.7476, IoU.screen: 0.6258, IoU.blanket: 0.2647, IoU.sculpture: 0.7587, IoU.hood: 0.6354, IoU.sconce: 0.5585, IoU.vase: 0.4730, IoU.traffic light: 0.3763, IoU.tray: 0.2248, IoU.ashcan: 0.5162, IoU.fan: 0.6360, IoU.pier: 0.4006, IoU.crt screen: 0.0178, IoU.plate: 0.6113, IoU.monitor: 0.2470, IoU.bulletin board: 0.5453, IoU.shower: 0.1471, IoU.radiator: 0.6484, IoU.glass: 0.1977, IoU.clock: 0.4959, IoU.flag: 0.6796, Acc.wall: 0.8983, Acc.building: 0.9362, Acc.sky: 0.9741, Acc.floor: 0.9142, Acc.tree: 0.9019, Acc.ceiling: 0.9411, Acc.road: 0.9199, Acc.bed : 0.9736, Acc.windowpane: 0.8261, Acc.grass: 0.8283, Acc.cabinet: 0.7649, Acc.sidewalk: 0.8447, Acc.person: 0.9334, Acc.earth: 0.5541, Acc.door: 0.7537, Acc.table: 0.8216, Acc.mountain: 0.7594, Acc.plant: 0.6860, Acc.curtain: 0.8900, Acc.chair: 0.7711, Acc.car: 0.9366, Acc.water: 0.7668, Acc.painting: 0.8920, Acc.sofa: 0.9223, Acc.shelf: 0.6343, Acc.house: 0.5842, Acc.sea: 0.8499, Acc.mirror: 0.8688, Acc.rug: 0.7847, Acc.field: 0.5141, Acc.armchair: 0.7913, Acc.seat: 0.8876, Acc.fence: 0.6708, Acc.desk: 0.7939, Acc.rock: 0.8330, Acc.wardrobe: 0.7082, Acc.lamp: 0.8380, Acc.bathtub: 0.9205, Acc.railing: 0.5764, Acc.cushion: 0.8022, Acc.base: 0.5169, Acc.box: 0.4821, Acc.column: 0.6370, Acc.signboard: 0.5449, Acc.chest of drawers: 0.7591, Acc.counter: 0.4777, Acc.sand: 0.8716, Acc.sink: 0.8835, Acc.skyscraper: 0.5640, Acc.fireplace: 0.9129, Acc.refrigerator: 0.9384, Acc.grandstand: 0.8308, Acc.path: 0.3412, Acc.stairs: 0.3561, Acc.runway: 0.9518, Acc.case: 0.8110, Acc.pool table: 0.9785, Acc.pillow: 0.7140, Acc.screen door: 0.8305, Acc.stairway: 0.6066, Acc.river: 0.2013, Acc.bridge: 0.8282, Acc.bookcase: 0.5920, Acc.blind: 0.4591, Acc.coffee table: 0.8456, Acc.toilet: 0.9373, Acc.flower: 0.6201, Acc.book: 0.7369, Acc.hill: 0.1416, Acc.bench: 0.6084, Acc.countertop: 0.8179, Acc.stove: 0.9238, Acc.palm: 0.7821, Acc.kitchen island: 0.8290, Acc.computer: 0.8902, Acc.swivel chair: 0.6671, Acc.boat: 0.8996, Acc.bar: 0.8239, Acc.arcade machine: 0.7145, Acc.hovel: 0.2638, Acc.bus: 0.9654, Acc.towel: 0.8577, Acc.light: 0.5624, Acc.truck: 0.6302, Acc.tower: 0.4720, Acc.chandelier: 0.8277, Acc.awning: 0.4461, Acc.streetlight: 0.3583, Acc.booth: 0.6998, Acc.television receiver: 0.8829, Acc.airplane: 0.8974, Acc.dirt track: 0.5111, Acc.apparel: 0.6963, Acc.pole: 0.3321, Acc.land: 0.0444, Acc.bannister: 0.2017, Acc.escalator: 0.8370, Acc.ottoman: 0.7023, Acc.bottle: 0.6557, Acc.buffet: 0.6334, Acc.poster: 0.4555, Acc.stage: 0.3449, Acc.van: 0.7134, Acc.ship: 0.7735, Acc.fountain: 0.3366, Acc.conveyer belt: 0.9373, Acc.canopy: 0.6407, Acc.washer: 0.9037, Acc.plaything: 0.5106, Acc.swimming pool: 0.7492, Acc.stool: 0.6775, Acc.barrel: 0.8923, Acc.basket: 0.5760, Acc.waterfall: 0.5782, Acc.tent: 0.9824, Acc.bag: 0.2747, Acc.minibike: 0.8706, Acc.cradle: 0.9792, Acc.oven: 0.7256, Acc.ball: 0.7079, Acc.food: 0.7425, Acc.step: 0.1304, Acc.tank: 0.6569, Acc.trade name: 0.3057, Acc.microwave: 0.9546, Acc.pot: 0.6705, Acc.animal: 0.7202, Acc.bicycle: 0.7688, Acc.lake: 0.6378, Acc.dishwasher: 0.8279, Acc.screen: 0.9213, Acc.blanket: 0.3069, Acc.sculpture: 0.8827, Acc.hood: 0.7449, Acc.sconce: 0.7104, Acc.vase: 0.6375, Acc.traffic light: 0.5562, Acc.tray: 0.2822, Acc.ashcan: 0.6396, Acc.fan: 0.7612, Acc.pier: 0.4498, Acc.crt screen: 0.0401, Acc.plate: 0.7568, Acc.monitor: 0.2827, Acc.bulletin board: 0.6639, Acc.shower: 0.2089, Acc.radiator: 0.7763, Acc.glass: 0.2161, Acc.clock: 0.6242, Acc.flag: 0.7618 2023-11-03 06:06:24,799 - mmseg - INFO - Iter [76050/80000] lr: 1.600e-07, eta: 1:27:46, time: 2.380, data_time: 1.172, memory: 38534, decode.loss_ce: 0.1359, decode.acc_seg: 94.0003, loss: 0.1359 2023-11-03 06:07:25,539 - mmseg - INFO - Iter [76100/80000] lr: 1.580e-07, eta: 1:26:39, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1359, decode.acc_seg: 93.9418, loss: 0.1359 2023-11-03 06:08:26,248 - mmseg - INFO - Iter [76150/80000] lr: 1.560e-07, eta: 1:25:32, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1435, decode.acc_seg: 93.8701, loss: 0.1435 2023-11-03 06:09:26,957 - mmseg - INFO - Iter [76200/80000] lr: 1.539e-07, eta: 1:24:25, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1326, decode.acc_seg: 94.1087, loss: 0.1326 2023-11-03 06:10:27,655 - mmseg - INFO - Iter [76250/80000] lr: 1.519e-07, eta: 1:23:18, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1343, decode.acc_seg: 93.8394, loss: 0.1343 2023-11-03 06:11:28,329 - mmseg - INFO - Iter [76300/80000] lr: 1.499e-07, eta: 1:22:11, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1367, decode.acc_seg: 94.1975, loss: 0.1367 2023-11-03 06:12:28,915 - mmseg - INFO - Iter [76350/80000] lr: 1.479e-07, eta: 1:21:04, time: 1.212, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1329, decode.acc_seg: 94.0759, loss: 0.1329 2023-11-03 06:13:29,431 - mmseg - INFO - Iter [76400/80000] lr: 1.458e-07, eta: 1:19:57, time: 1.210, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1393, decode.acc_seg: 93.8416, loss: 0.1393 2023-11-03 06:14:29,987 - mmseg - INFO - Iter [76450/80000] lr: 1.438e-07, eta: 1:18:51, time: 1.211, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1346, decode.acc_seg: 94.1419, loss: 0.1346 2023-11-03 06:15:30,546 - mmseg - INFO - Iter [76500/80000] lr: 1.418e-07, eta: 1:17:44, time: 1.211, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1358, decode.acc_seg: 93.9154, loss: 0.1358 2023-11-03 06:16:31,157 - mmseg - INFO - Iter [76550/80000] lr: 1.398e-07, eta: 1:16:37, time: 1.212, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1388, decode.acc_seg: 93.8462, loss: 0.1388 2023-11-03 06:17:31,779 - mmseg - INFO - Iter [76600/80000] lr: 1.377e-07, eta: 1:15:30, time: 1.212, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1374, decode.acc_seg: 93.8862, loss: 0.1374 2023-11-03 06:18:32,460 - mmseg - INFO - Iter [76650/80000] lr: 1.357e-07, eta: 1:14:23, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1316, decode.acc_seg: 94.3223, loss: 0.1316 2023-11-03 06:19:33,104 - mmseg - INFO - Iter [76700/80000] lr: 1.337e-07, eta: 1:13:16, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1330, decode.acc_seg: 94.1621, loss: 0.1330 2023-11-03 06:20:33,786 - mmseg - INFO - Iter [76750/80000] lr: 1.317e-07, eta: 1:12:09, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1296, decode.acc_seg: 94.2905, loss: 0.1296 2023-11-03 06:21:37,072 - mmseg - INFO - Iter [76800/80000] lr: 1.296e-07, eta: 1:11:02, time: 1.266, data_time: 0.059, memory: 38534, decode.loss_ce: 0.1351, decode.acc_seg: 93.9003, loss: 0.1351 2023-11-03 06:22:37,743 - mmseg - INFO - Iter [76850/80000] lr: 1.276e-07, eta: 1:09:56, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1362, decode.acc_seg: 94.0146, loss: 0.1362 2023-11-03 06:23:38,466 - mmseg - INFO - Iter [76900/80000] lr: 1.256e-07, eta: 1:08:49, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1334, decode.acc_seg: 94.0411, loss: 0.1334 2023-11-03 06:24:39,160 - mmseg - INFO - Iter [76950/80000] lr: 1.236e-07, eta: 1:07:42, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1364, decode.acc_seg: 93.9739, loss: 0.1364 2023-11-03 06:25:39,862 - mmseg - INFO - Saving checkpoint at 77000 iterations 2023-11-03 06:26:36,171 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-03 06:26:36,171 - mmseg - INFO - Iter [77000/80000] lr: 1.215e-07, eta: 1:06:37, time: 2.340, data_time: 0.008, memory: 38534, decode.loss_ce: 0.1364, decode.acc_seg: 93.9512, loss: 0.1364 2023-11-03 06:27:37,735 - mmseg - INFO - per class results: 2023-11-03 06:27:37,740 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 81.43 | 89.79 | | building | 84.09 | 93.76 | | sky | 94.66 | 97.6 | | floor | 84.66 | 91.64 | | tree | 77.08 | 89.83 | | ceiling | 87.25 | 94.14 | | road | 86.76 | 92.07 | | bed | 92.09 | 97.45 | | windowpane | 67.26 | 82.3 | | grass | 68.6 | 83.21 | | cabinet | 67.18 | 76.88 | | sidewalk | 70.56 | 83.66 | | person | 83.64 | 93.66 | | earth | 41.86 | 53.89 | | door | 61.87 | 75.57 | | table | 70.38 | 82.76 | | mountain | 63.57 | 76.09 | | plant | 54.33 | 67.6 | | curtain | 77.72 | 89.3 | | chair | 63.33 | 75.14 | | car | 87.09 | 93.61 | | water | 60.81 | 76.92 | | painting | 77.84 | 89.82 | | sofa | 83.51 | 92.5 | | shelf | 48.13 | 62.95 | | house | 44.22 | 53.74 | | sea | 69.98 | 85.22 | | mirror | 77.91 | 88.27 | | rug | 66.99 | 77.41 | | field | 30.97 | 52.1 | | armchair | 64.6 | 79.31 | | seat | 65.05 | 88.75 | | fence | 51.94 | 66.95 | | desk | 59.56 | 79.17 | | rock | 55.3 | 85.43 | | wardrobe | 53.72 | 71.2 | | lamp | 72.22 | 82.77 | | bathtub | 88.43 | 91.81 | | railing | 41.43 | 57.76 | | cushion | 65.92 | 78.96 | | base | 37.89 | 48.03 | | box | 40.7 | 49.56 | | column | 51.86 | 62.86 | | signboard | 39.36 | 54.53 | | chest of drawers | 51.61 | 75.43 | | counter | 40.61 | 51.36 | | sand | 60.23 | 86.86 | | sink | 82.19 | 89.13 | | skyscraper | 43.22 | 54.68 | | fireplace | 73.89 | 90.57 | | refrigerator | 86.69 | 93.95 | | grandstand | 54.47 | 81.51 | | path | 26.2 | 35.12 | | stairs | 29.95 | 36.47 | | runway | 74.57 | 95.3 | | case | 59.31 | 78.58 | | pool table | 94.18 | 97.81 | | pillow | 61.87 | 71.88 | | screen door | 78.75 | 80.3 | | stairway | 40.29 | 57.24 | | river | 10.83 | 20.4 | | bridge | 75.2 | 82.94 | | bookcase | 41.73 | 57.77 | | blind | 41.75 | 46.37 | | coffee table | 62.43 | 84.26 | | toilet | 90.11 | 93.71 | | flower | 42.43 | 61.02 | | book | 51.2 | 76.12 | | hill | 10.6 | 14.81 | | bench | 54.78 | 60.96 | | countertop | 64.95 | 80.62 | | stove | 86.56 | 91.83 | | palm | 52.89 | 80.04 | | kitchen island | 57.5 | 83.19 | | computer | 77.34 | 89.03 | | swivel chair | 43.7 | 67.65 | | boat | 80.11 | 89.3 | | bar | 60.17 | 81.11 | | arcade machine | 68.07 | 70.05 | | hovel | 23.75 | 25.56 | | bus | 93.27 | 96.76 | | towel | 76.28 | 84.96 | | light | 49.44 | 58.48 | | truck | 52.88 | 63.68 | | tower | 26.95 | 40.61 | | chandelier | 71.14 | 83.5 | | awning | 35.74 | 45.32 | | streetlight | 28.67 | 38.24 | | booth | 61.55 | 71.69 | | television receiver | 75.18 | 87.86 | | airplane | 83.6 | 89.36 | | dirt track | 27.39 | 52.32 | | apparel | 53.55 | 69.39 | | pole | 20.73 | 30.15 | | land | 3.72 | 4.78 | | bannister | 16.86 | 22.42 | | escalator | 66.88 | 83.14 | | ottoman | 54.28 | 69.67 | | bottle | 43.37 | 67.23 | | buffet | 53.81 | 60.75 | | poster | 37.99 | 45.69 | | stage | 20.54 | 31.91 | | van | 51.65 | 69.65 | | ship | 73.12 | 76.85 | | fountain | 28.93 | 29.09 | | conveyer belt | 79.89 | 93.99 | | canopy | 49.43 | 63.0 | | washer | 85.38 | 90.51 | | plaything | 34.73 | 50.55 | | swimming pool | 58.22 | 77.16 | | stool | 50.37 | 66.18 | | barrel | 64.16 | 90.26 | | basket | 44.22 | 57.76 | | waterfall | 49.16 | 57.57 | | tent | 96.33 | 98.26 | | bag | 25.8 | 28.97 | | minibike | 73.93 | 87.96 | | cradle | 85.0 | 98.03 | | oven | 61.68 | 71.76 | | ball | 63.03 | 70.96 | | food | 62.51 | 75.12 | | step | 11.27 | 12.99 | | tank | 62.47 | 65.63 | | trade name | 25.4 | 28.96 | | microwave | 90.88 | 95.04 | | pot | 59.5 | 67.07 | | animal | 68.03 | 69.78 | | bicycle | 60.65 | 78.93 | | lake | 53.25 | 63.77 | | dishwasher | 75.09 | 82.89 | | screen | 62.56 | 92.15 | | blanket | 24.81 | 28.7 | | sculpture | 76.78 | 87.33 | | hood | 63.3 | 73.94 | | sconce | 55.2 | 68.48 | | vase | 47.35 | 62.66 | | traffic light | 37.45 | 56.74 | | tray | 22.89 | 29.27 | | ashcan | 51.58 | 64.67 | | fan | 63.97 | 77.22 | | pier | 40.15 | 45.01 | | crt screen | 3.31 | 7.67 | | plate | 61.05 | 75.68 | | monitor | 23.97 | 27.32 | | bulletin board | 55.68 | 67.16 | | shower | 15.27 | 20.01 | | radiator | 64.68 | 77.76 | | glass | 19.53 | 21.25 | | clock | 49.9 | 63.63 | | flag | 67.89 | 75.5 | +---------------------+-------+-------+ 2023-11-03 06:27:37,740 - mmseg - INFO - Summary: 2023-11-03 06:27:37,740 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 85.99 | 57.15 | 68.85 | +-------+-------+-------+ 2023-11-03 06:27:37,741 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-03 06:27:37,741 - mmseg - INFO - Iter(val) [250] aAcc: 0.8599, mIoU: 0.5715, mAcc: 0.6885, IoU.wall: 0.8143, IoU.building: 0.8409, IoU.sky: 0.9466, IoU.floor: 0.8466, IoU.tree: 0.7708, IoU.ceiling: 0.8725, IoU.road: 0.8676, IoU.bed : 0.9209, IoU.windowpane: 0.6726, IoU.grass: 0.6860, IoU.cabinet: 0.6718, IoU.sidewalk: 0.7056, IoU.person: 0.8364, IoU.earth: 0.4186, IoU.door: 0.6187, IoU.table: 0.7038, IoU.mountain: 0.6357, IoU.plant: 0.5433, IoU.curtain: 0.7772, IoU.chair: 0.6333, IoU.car: 0.8709, IoU.water: 0.6081, IoU.painting: 0.7784, IoU.sofa: 0.8351, IoU.shelf: 0.4813, IoU.house: 0.4422, IoU.sea: 0.6998, IoU.mirror: 0.7791, IoU.rug: 0.6699, IoU.field: 0.3097, IoU.armchair: 0.6460, IoU.seat: 0.6505, IoU.fence: 0.5194, IoU.desk: 0.5956, IoU.rock: 0.5530, IoU.wardrobe: 0.5372, IoU.lamp: 0.7222, IoU.bathtub: 0.8843, IoU.railing: 0.4143, IoU.cushion: 0.6592, IoU.base: 0.3789, IoU.box: 0.4070, IoU.column: 0.5186, IoU.signboard: 0.3936, IoU.chest of drawers: 0.5161, IoU.counter: 0.4061, IoU.sand: 0.6023, IoU.sink: 0.8219, IoU.skyscraper: 0.4322, IoU.fireplace: 0.7389, IoU.refrigerator: 0.8669, IoU.grandstand: 0.5447, IoU.path: 0.2620, IoU.stairs: 0.2995, IoU.runway: 0.7457, IoU.case: 0.5931, IoU.pool table: 0.9418, IoU.pillow: 0.6187, IoU.screen door: 0.7875, IoU.stairway: 0.4029, IoU.river: 0.1083, IoU.bridge: 0.7520, IoU.bookcase: 0.4173, IoU.blind: 0.4175, IoU.coffee table: 0.6243, IoU.toilet: 0.9011, IoU.flower: 0.4243, IoU.book: 0.5120, IoU.hill: 0.1060, IoU.bench: 0.5478, IoU.countertop: 0.6495, IoU.stove: 0.8656, IoU.palm: 0.5289, IoU.kitchen island: 0.5750, IoU.computer: 0.7734, IoU.swivel chair: 0.4370, IoU.boat: 0.8011, IoU.bar: 0.6017, IoU.arcade machine: 0.6807, IoU.hovel: 0.2375, IoU.bus: 0.9327, IoU.towel: 0.7628, IoU.light: 0.4944, IoU.truck: 0.5288, IoU.tower: 0.2695, IoU.chandelier: 0.7114, IoU.awning: 0.3574, IoU.streetlight: 0.2867, IoU.booth: 0.6155, IoU.television receiver: 0.7518, IoU.airplane: 0.8360, IoU.dirt track: 0.2739, IoU.apparel: 0.5355, IoU.pole: 0.2073, IoU.land: 0.0372, IoU.bannister: 0.1686, IoU.escalator: 0.6688, IoU.ottoman: 0.5428, IoU.bottle: 0.4337, IoU.buffet: 0.5381, IoU.poster: 0.3799, IoU.stage: 0.2054, IoU.van: 0.5165, IoU.ship: 0.7312, IoU.fountain: 0.2893, IoU.conveyer belt: 0.7989, IoU.canopy: 0.4943, IoU.washer: 0.8538, IoU.plaything: 0.3473, IoU.swimming pool: 0.5822, IoU.stool: 0.5037, IoU.barrel: 0.6416, IoU.basket: 0.4422, IoU.waterfall: 0.4916, IoU.tent: 0.9633, IoU.bag: 0.2580, IoU.minibike: 0.7393, IoU.cradle: 0.8500, IoU.oven: 0.6168, IoU.ball: 0.6303, IoU.food: 0.6251, IoU.step: 0.1127, IoU.tank: 0.6247, IoU.trade name: 0.2540, IoU.microwave: 0.9088, IoU.pot: 0.5950, IoU.animal: 0.6803, IoU.bicycle: 0.6065, IoU.lake: 0.5325, IoU.dishwasher: 0.7509, IoU.screen: 0.6256, IoU.blanket: 0.2481, IoU.sculpture: 0.7678, IoU.hood: 0.6330, IoU.sconce: 0.5520, IoU.vase: 0.4735, IoU.traffic light: 0.3745, IoU.tray: 0.2289, IoU.ashcan: 0.5158, IoU.fan: 0.6397, IoU.pier: 0.4015, IoU.crt screen: 0.0331, IoU.plate: 0.6105, IoU.monitor: 0.2397, IoU.bulletin board: 0.5568, IoU.shower: 0.1527, IoU.radiator: 0.6468, IoU.glass: 0.1953, IoU.clock: 0.4990, IoU.flag: 0.6789, Acc.wall: 0.8979, Acc.building: 0.9376, Acc.sky: 0.9760, Acc.floor: 0.9164, Acc.tree: 0.8983, Acc.ceiling: 0.9414, Acc.road: 0.9207, Acc.bed : 0.9745, Acc.windowpane: 0.8230, Acc.grass: 0.8321, Acc.cabinet: 0.7688, Acc.sidewalk: 0.8366, Acc.person: 0.9366, Acc.earth: 0.5389, Acc.door: 0.7557, Acc.table: 0.8276, Acc.mountain: 0.7609, Acc.plant: 0.6760, Acc.curtain: 0.8930, Acc.chair: 0.7514, Acc.car: 0.9361, Acc.water: 0.7692, Acc.painting: 0.8982, Acc.sofa: 0.9250, Acc.shelf: 0.6295, Acc.house: 0.5374, Acc.sea: 0.8522, Acc.mirror: 0.8827, Acc.rug: 0.7741, Acc.field: 0.5210, Acc.armchair: 0.7931, Acc.seat: 0.8875, Acc.fence: 0.6695, Acc.desk: 0.7917, Acc.rock: 0.8543, Acc.wardrobe: 0.7120, Acc.lamp: 0.8277, Acc.bathtub: 0.9181, Acc.railing: 0.5776, Acc.cushion: 0.7896, Acc.base: 0.4803, Acc.box: 0.4956, Acc.column: 0.6286, Acc.signboard: 0.5453, Acc.chest of drawers: 0.7543, Acc.counter: 0.5136, Acc.sand: 0.8686, Acc.sink: 0.8913, Acc.skyscraper: 0.5468, Acc.fireplace: 0.9057, Acc.refrigerator: 0.9395, Acc.grandstand: 0.8151, Acc.path: 0.3512, Acc.stairs: 0.3647, Acc.runway: 0.9530, Acc.case: 0.7858, Acc.pool table: 0.9781, Acc.pillow: 0.7188, Acc.screen door: 0.8030, Acc.stairway: 0.5724, Acc.river: 0.2040, Acc.bridge: 0.8294, Acc.bookcase: 0.5777, Acc.blind: 0.4637, Acc.coffee table: 0.8426, Acc.toilet: 0.9371, Acc.flower: 0.6102, Acc.book: 0.7612, Acc.hill: 0.1481, Acc.bench: 0.6096, Acc.countertop: 0.8062, Acc.stove: 0.9183, Acc.palm: 0.8004, Acc.kitchen island: 0.8319, Acc.computer: 0.8903, Acc.swivel chair: 0.6765, Acc.boat: 0.8930, Acc.bar: 0.8111, Acc.arcade machine: 0.7005, Acc.hovel: 0.2556, Acc.bus: 0.9676, Acc.towel: 0.8496, Acc.light: 0.5848, Acc.truck: 0.6368, Acc.tower: 0.4061, Acc.chandelier: 0.8350, Acc.awning: 0.4532, Acc.streetlight: 0.3824, Acc.booth: 0.7169, Acc.television receiver: 0.8786, Acc.airplane: 0.8936, Acc.dirt track: 0.5232, Acc.apparel: 0.6939, Acc.pole: 0.3015, Acc.land: 0.0478, Acc.bannister: 0.2242, Acc.escalator: 0.8314, Acc.ottoman: 0.6967, Acc.bottle: 0.6723, Acc.buffet: 0.6075, Acc.poster: 0.4569, Acc.stage: 0.3191, Acc.van: 0.6965, Acc.ship: 0.7685, Acc.fountain: 0.2909, Acc.conveyer belt: 0.9399, Acc.canopy: 0.6300, Acc.washer: 0.9051, Acc.plaything: 0.5055, Acc.swimming pool: 0.7716, Acc.stool: 0.6618, Acc.barrel: 0.9026, Acc.basket: 0.5776, Acc.waterfall: 0.5757, Acc.tent: 0.9826, Acc.bag: 0.2897, Acc.minibike: 0.8796, Acc.cradle: 0.9803, Acc.oven: 0.7176, Acc.ball: 0.7096, Acc.food: 0.7512, Acc.step: 0.1299, Acc.tank: 0.6563, Acc.trade name: 0.2896, Acc.microwave: 0.9504, Acc.pot: 0.6707, Acc.animal: 0.6978, Acc.bicycle: 0.7893, Acc.lake: 0.6377, Acc.dishwasher: 0.8289, Acc.screen: 0.9215, Acc.blanket: 0.2870, Acc.sculpture: 0.8733, Acc.hood: 0.7394, Acc.sconce: 0.6848, Acc.vase: 0.6266, Acc.traffic light: 0.5674, Acc.tray: 0.2927, Acc.ashcan: 0.6467, Acc.fan: 0.7722, Acc.pier: 0.4501, Acc.crt screen: 0.0767, Acc.plate: 0.7568, Acc.monitor: 0.2732, Acc.bulletin board: 0.6716, Acc.shower: 0.2001, Acc.radiator: 0.7776, Acc.glass: 0.2125, Acc.clock: 0.6363, Acc.flag: 0.7550 2023-11-03 06:28:40,894 - mmseg - INFO - Iter [77050/80000] lr: 1.195e-07, eta: 1:05:33, time: 2.494, data_time: 1.284, memory: 38534, decode.loss_ce: 0.1315, decode.acc_seg: 94.2820, loss: 0.1315 2023-11-03 06:29:41,620 - mmseg - INFO - Iter [77100/80000] lr: 1.175e-07, eta: 1:04:26, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1314, decode.acc_seg: 94.1514, loss: 0.1314 2023-11-03 06:30:42,312 - mmseg - INFO - Iter [77150/80000] lr: 1.155e-07, eta: 1:03:19, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1362, decode.acc_seg: 94.1737, loss: 0.1362 2023-11-03 06:31:43,030 - mmseg - INFO - Iter [77200/80000] lr: 1.134e-07, eta: 1:02:12, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1401, decode.acc_seg: 93.9243, loss: 0.1401 2023-11-03 06:32:43,656 - mmseg - INFO - Iter [77250/80000] lr: 1.114e-07, eta: 1:01:05, time: 1.212, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1383, decode.acc_seg: 94.0337, loss: 0.1383 2023-11-03 06:33:44,333 - mmseg - INFO - Iter [77300/80000] lr: 1.094e-07, eta: 0:59:59, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1332, decode.acc_seg: 94.3166, loss: 0.1332 2023-11-03 06:34:44,971 - mmseg - INFO - Iter [77350/80000] lr: 1.074e-07, eta: 0:58:52, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1480, decode.acc_seg: 93.8233, loss: 0.1480 2023-11-03 06:35:45,687 - mmseg - INFO - Iter [77400/80000] lr: 1.053e-07, eta: 0:57:45, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1267, decode.acc_seg: 94.4406, loss: 0.1267 2023-11-03 06:36:46,349 - mmseg - INFO - Iter [77450/80000] lr: 1.033e-07, eta: 0:56:38, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1276, decode.acc_seg: 94.1986, loss: 0.1276 2023-11-03 06:37:47,076 - mmseg - INFO - Iter [77500/80000] lr: 1.013e-07, eta: 0:55:31, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1349, decode.acc_seg: 94.0765, loss: 0.1349 2023-11-03 06:38:47,820 - mmseg - INFO - Iter [77550/80000] lr: 9.926e-08, eta: 0:54:24, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1381, decode.acc_seg: 94.0930, loss: 0.1381 2023-11-03 06:39:48,541 - mmseg - INFO - Iter [77600/80000] lr: 9.723e-08, eta: 0:53:18, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1281, decode.acc_seg: 94.4281, loss: 0.1281 2023-11-03 06:40:49,275 - mmseg - INFO - Iter [77650/80000] lr: 9.521e-08, eta: 0:52:11, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1348, decode.acc_seg: 94.1222, loss: 0.1348 2023-11-03 06:41:50,012 - mmseg - INFO - Iter [77700/80000] lr: 9.318e-08, eta: 0:51:04, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1406, decode.acc_seg: 94.0349, loss: 0.1406 2023-11-03 06:42:50,698 - mmseg - INFO - Iter [77750/80000] lr: 9.116e-08, eta: 0:49:57, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1419, decode.acc_seg: 93.9035, loss: 0.1419 2023-11-03 06:43:51,338 - mmseg - INFO - Iter [77800/80000] lr: 8.913e-08, eta: 0:48:50, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1287, decode.acc_seg: 94.2717, loss: 0.1287 2023-11-03 06:44:52,056 - mmseg - INFO - Iter [77850/80000] lr: 8.711e-08, eta: 0:47:44, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1315, decode.acc_seg: 94.0793, loss: 0.1315 2023-11-03 06:45:52,723 - mmseg - INFO - Iter [77900/80000] lr: 8.508e-08, eta: 0:46:37, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1371, decode.acc_seg: 93.9580, loss: 0.1371 2023-11-03 06:46:53,427 - mmseg - INFO - Iter [77950/80000] lr: 8.306e-08, eta: 0:45:30, time: 1.214, data_time: 0.008, memory: 38534, decode.loss_ce: 0.1246, decode.acc_seg: 94.4866, loss: 0.1246 2023-11-03 06:47:56,843 - mmseg - INFO - Saving checkpoint at 78000 iterations 2023-11-03 06:48:58,867 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-03 06:48:58,867 - mmseg - INFO - Iter [78000/80000] lr: 8.104e-08, eta: 0:44:25, time: 2.509, data_time: 0.062, memory: 38534, decode.loss_ce: 0.1375, decode.acc_seg: 93.9349, loss: 0.1375 2023-11-03 06:49:57,799 - mmseg - INFO - per class results: 2023-11-03 06:49:57,805 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 81.36 | 89.69 | | building | 84.22 | 93.79 | | sky | 94.65 | 97.63 | | floor | 84.55 | 92.14 | | tree | 76.89 | 89.87 | | ceiling | 87.28 | 94.42 | | road | 86.94 | 91.2 | | bed | 91.98 | 97.36 | | windowpane | 67.17 | 82.24 | | grass | 68.84 | 82.45 | | cabinet | 66.96 | 76.3 | | sidewalk | 71.07 | 84.56 | | person | 83.83 | 92.84 | | earth | 42.55 | 55.16 | | door | 61.82 | 75.34 | | table | 70.61 | 81.86 | | mountain | 63.4 | 76.67 | | plant | 54.17 | 66.69 | | curtain | 77.85 | 88.9 | | chair | 63.54 | 76.11 | | car | 87.11 | 93.57 | | water | 60.38 | 76.01 | | painting | 78.12 | 89.04 | | sofa | 83.79 | 91.5 | | shelf | 48.29 | 63.56 | | house | 48.56 | 59.7 | | sea | 67.88 | 85.76 | | mirror | 77.91 | 88.54 | | rug | 66.91 | 77.2 | | field | 31.7 | 54.01 | | armchair | 64.73 | 79.48 | | seat | 64.53 | 89.01 | | fence | 52.04 | 68.53 | | desk | 59.13 | 79.56 | | rock | 55.58 | 84.07 | | wardrobe | 53.01 | 69.44 | | lamp | 72.2 | 82.71 | | bathtub | 88.38 | 91.62 | | railing | 41.51 | 57.52 | | cushion | 65.97 | 79.11 | | base | 38.85 | 51.45 | | box | 40.29 | 48.95 | | column | 51.86 | 62.99 | | signboard | 39.33 | 54.17 | | chest of drawers | 51.55 | 77.11 | | counter | 39.26 | 50.78 | | sand | 59.68 | 87.42 | | sink | 82.01 | 88.5 | | skyscraper | 43.57 | 55.85 | | fireplace | 73.97 | 90.43 | | refrigerator | 86.7 | 94.14 | | grandstand | 53.79 | 82.29 | | path | 25.41 | 32.81 | | stairs | 28.89 | 35.07 | | runway | 75.04 | 96.17 | | case | 60.06 | 80.69 | | pool table | 94.24 | 97.81 | | pillow | 61.82 | 71.98 | | screen door | 80.14 | 81.81 | | stairway | 40.94 | 59.21 | | river | 11.63 | 19.9 | | bridge | 75.35 | 83.31 | | bookcase | 42.73 | 60.08 | | blind | 41.83 | 47.11 | | coffee table | 63.42 | 83.53 | | toilet | 90.04 | 93.74 | | flower | 41.89 | 59.34 | | book | 51.47 | 73.71 | | hill | 9.71 | 13.11 | | bench | 54.92 | 61.8 | | countertop | 64.88 | 82.09 | | stove | 86.49 | 92.11 | | palm | 52.86 | 79.61 | | kitchen island | 57.57 | 82.9 | | computer | 77.42 | 88.93 | | swivel chair | 43.54 | 67.22 | | boat | 79.93 | 90.18 | | bar | 59.4 | 79.18 | | arcade machine | 69.9 | 72.08 | | hovel | 24.85 | 26.9 | | bus | 93.09 | 96.91 | | towel | 76.15 | 85.65 | | light | 48.61 | 56.54 | | truck | 52.53 | 63.38 | | tower | 25.1 | 37.14 | | chandelier | 70.9 | 82.09 | | awning | 35.51 | 44.82 | | streetlight | 27.87 | 36.83 | | booth | 60.27 | 72.51 | | television receiver | 75.23 | 88.06 | | airplane | 84.4 | 90.98 | | dirt track | 19.35 | 52.21 | | apparel | 52.69 | 68.32 | | pole | 20.36 | 31.2 | | land | 3.54 | 4.5 | | bannister | 16.32 | 21.29 | | escalator | 67.09 | 83.97 | | ottoman | 54.08 | 69.18 | | bottle | 43.09 | 65.45 | | buffet | 54.28 | 61.55 | | poster | 36.34 | 43.14 | | stage | 20.51 | 31.81 | | van | 51.92 | 71.39 | | ship | 73.36 | 76.94 | | fountain | 35.33 | 35.83 | | conveyer belt | 79.73 | 93.92 | | canopy | 50.27 | 64.34 | | washer | 84.79 | 89.77 | | plaything | 34.61 | 51.13 | | swimming pool | 56.43 | 76.78 | | stool | 50.41 | 65.68 | | barrel | 64.26 | 89.83 | | basket | 43.04 | 56.38 | | waterfall | 49.05 | 58.0 | | tent | 96.2 | 98.33 | | bag | 25.8 | 28.82 | | minibike | 73.66 | 88.47 | | cradle | 84.22 | 98.05 | | oven | 62.38 | 73.37 | | ball | 62.74 | 70.04 | | food | 62.38 | 74.81 | | step | 11.58 | 13.45 | | tank | 62.41 | 65.92 | | trade name | 25.09 | 28.29 | | microwave | 90.99 | 95.65 | | pot | 59.66 | 67.41 | | animal | 69.54 | 71.59 | | bicycle | 60.8 | 79.96 | | lake | 53.21 | 63.79 | | dishwasher | 74.78 | 83.14 | | screen | 61.61 | 89.27 | | blanket | 25.23 | 29.11 | | sculpture | 76.35 | 87.94 | | hood | 63.53 | 74.94 | | sconce | 54.84 | 67.72 | | vase | 47.37 | 62.9 | | traffic light | 37.33 | 54.81 | | tray | 22.85 | 29.08 | | ashcan | 51.69 | 64.73 | | fan | 63.45 | 75.3 | | pier | 40.17 | 45.3 | | crt screen | 4.87 | 11.37 | | plate | 61.14 | 76.74 | | monitor | 25.77 | 29.59 | | bulletin board | 54.82 | 65.85 | | shower | 14.22 | 20.68 | | radiator | 64.65 | 77.94 | | glass | 19.6 | 21.39 | | clock | 49.57 | 64.14 | | flag | 67.72 | 75.62 | +---------------------+-------+-------+ 2023-11-03 06:49:57,805 - mmseg - INFO - Summary: 2023-11-03 06:49:57,805 - mmseg - INFO - +------+-------+-------+ | aAcc | mIoU | mAcc | +------+-------+-------+ | 86.0 | 57.12 | 68.96 | +------+-------+-------+ 2023-11-03 06:49:57,806 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-03 06:49:57,806 - mmseg - INFO - Iter(val) [250] aAcc: 0.8600, mIoU: 0.5712, mAcc: 0.6896, IoU.wall: 0.8136, IoU.building: 0.8422, IoU.sky: 0.9465, IoU.floor: 0.8455, IoU.tree: 0.7689, IoU.ceiling: 0.8728, IoU.road: 0.8694, IoU.bed : 0.9198, IoU.windowpane: 0.6717, IoU.grass: 0.6884, IoU.cabinet: 0.6696, IoU.sidewalk: 0.7107, IoU.person: 0.8383, IoU.earth: 0.4255, IoU.door: 0.6182, IoU.table: 0.7061, IoU.mountain: 0.6340, IoU.plant: 0.5417, IoU.curtain: 0.7785, IoU.chair: 0.6354, IoU.car: 0.8711, IoU.water: 0.6038, IoU.painting: 0.7812, IoU.sofa: 0.8379, IoU.shelf: 0.4829, IoU.house: 0.4856, IoU.sea: 0.6788, IoU.mirror: 0.7791, IoU.rug: 0.6691, IoU.field: 0.3170, IoU.armchair: 0.6473, IoU.seat: 0.6453, IoU.fence: 0.5204, IoU.desk: 0.5913, IoU.rock: 0.5558, IoU.wardrobe: 0.5301, IoU.lamp: 0.7220, IoU.bathtub: 0.8838, IoU.railing: 0.4151, IoU.cushion: 0.6597, IoU.base: 0.3885, IoU.box: 0.4029, IoU.column: 0.5186, IoU.signboard: 0.3933, IoU.chest of drawers: 0.5155, IoU.counter: 0.3926, IoU.sand: 0.5968, IoU.sink: 0.8201, IoU.skyscraper: 0.4357, IoU.fireplace: 0.7397, IoU.refrigerator: 0.8670, IoU.grandstand: 0.5379, IoU.path: 0.2541, IoU.stairs: 0.2889, IoU.runway: 0.7504, IoU.case: 0.6006, IoU.pool table: 0.9424, IoU.pillow: 0.6182, IoU.screen door: 0.8014, IoU.stairway: 0.4094, IoU.river: 0.1163, IoU.bridge: 0.7535, IoU.bookcase: 0.4273, IoU.blind: 0.4183, IoU.coffee table: 0.6342, IoU.toilet: 0.9004, IoU.flower: 0.4189, IoU.book: 0.5147, IoU.hill: 0.0971, IoU.bench: 0.5492, IoU.countertop: 0.6488, IoU.stove: 0.8649, IoU.palm: 0.5286, IoU.kitchen island: 0.5757, IoU.computer: 0.7742, IoU.swivel chair: 0.4354, IoU.boat: 0.7993, IoU.bar: 0.5940, IoU.arcade machine: 0.6990, IoU.hovel: 0.2485, IoU.bus: 0.9309, IoU.towel: 0.7615, IoU.light: 0.4861, IoU.truck: 0.5253, IoU.tower: 0.2510, IoU.chandelier: 0.7090, IoU.awning: 0.3551, IoU.streetlight: 0.2787, IoU.booth: 0.6027, IoU.television receiver: 0.7523, IoU.airplane: 0.8440, IoU.dirt track: 0.1935, IoU.apparel: 0.5269, IoU.pole: 0.2036, IoU.land: 0.0354, IoU.bannister: 0.1632, IoU.escalator: 0.6709, IoU.ottoman: 0.5408, IoU.bottle: 0.4309, IoU.buffet: 0.5428, IoU.poster: 0.3634, IoU.stage: 0.2051, IoU.van: 0.5192, IoU.ship: 0.7336, IoU.fountain: 0.3533, IoU.conveyer belt: 0.7973, IoU.canopy: 0.5027, IoU.washer: 0.8479, IoU.plaything: 0.3461, IoU.swimming pool: 0.5643, IoU.stool: 0.5041, IoU.barrel: 0.6426, IoU.basket: 0.4304, IoU.waterfall: 0.4905, IoU.tent: 0.9620, IoU.bag: 0.2580, IoU.minibike: 0.7366, IoU.cradle: 0.8422, IoU.oven: 0.6238, IoU.ball: 0.6274, IoU.food: 0.6238, IoU.step: 0.1158, IoU.tank: 0.6241, IoU.trade name: 0.2509, IoU.microwave: 0.9099, IoU.pot: 0.5966, IoU.animal: 0.6954, IoU.bicycle: 0.6080, IoU.lake: 0.5321, IoU.dishwasher: 0.7478, IoU.screen: 0.6161, IoU.blanket: 0.2523, IoU.sculpture: 0.7635, IoU.hood: 0.6353, IoU.sconce: 0.5484, IoU.vase: 0.4737, IoU.traffic light: 0.3733, IoU.tray: 0.2285, IoU.ashcan: 0.5169, IoU.fan: 0.6345, IoU.pier: 0.4017, IoU.crt screen: 0.0487, IoU.plate: 0.6114, IoU.monitor: 0.2577, IoU.bulletin board: 0.5482, IoU.shower: 0.1422, IoU.radiator: 0.6465, IoU.glass: 0.1960, IoU.clock: 0.4957, IoU.flag: 0.6772, Acc.wall: 0.8969, Acc.building: 0.9379, Acc.sky: 0.9763, Acc.floor: 0.9214, Acc.tree: 0.8987, Acc.ceiling: 0.9442, Acc.road: 0.9120, Acc.bed : 0.9736, Acc.windowpane: 0.8224, Acc.grass: 0.8245, Acc.cabinet: 0.7630, Acc.sidewalk: 0.8456, Acc.person: 0.9284, Acc.earth: 0.5516, Acc.door: 0.7534, Acc.table: 0.8186, Acc.mountain: 0.7667, Acc.plant: 0.6669, Acc.curtain: 0.8890, Acc.chair: 0.7611, Acc.car: 0.9357, Acc.water: 0.7601, Acc.painting: 0.8904, Acc.sofa: 0.9150, Acc.shelf: 0.6356, Acc.house: 0.5970, Acc.sea: 0.8576, Acc.mirror: 0.8854, Acc.rug: 0.7720, Acc.field: 0.5401, Acc.armchair: 0.7948, Acc.seat: 0.8901, Acc.fence: 0.6853, Acc.desk: 0.7956, Acc.rock: 0.8407, Acc.wardrobe: 0.6944, Acc.lamp: 0.8271, Acc.bathtub: 0.9162, Acc.railing: 0.5752, Acc.cushion: 0.7911, Acc.base: 0.5145, Acc.box: 0.4895, Acc.column: 0.6299, Acc.signboard: 0.5417, Acc.chest of drawers: 0.7711, Acc.counter: 0.5078, Acc.sand: 0.8742, Acc.sink: 0.8850, Acc.skyscraper: 0.5585, Acc.fireplace: 0.9043, Acc.refrigerator: 0.9414, Acc.grandstand: 0.8229, Acc.path: 0.3281, Acc.stairs: 0.3507, Acc.runway: 0.9617, Acc.case: 0.8069, Acc.pool table: 0.9781, Acc.pillow: 0.7198, Acc.screen door: 0.8181, Acc.stairway: 0.5921, Acc.river: 0.1990, Acc.bridge: 0.8331, Acc.bookcase: 0.6008, Acc.blind: 0.4711, Acc.coffee table: 0.8353, Acc.toilet: 0.9374, Acc.flower: 0.5934, Acc.book: 0.7371, Acc.hill: 0.1311, Acc.bench: 0.6180, Acc.countertop: 0.8209, Acc.stove: 0.9211, Acc.palm: 0.7961, Acc.kitchen island: 0.8290, Acc.computer: 0.8893, Acc.swivel chair: 0.6722, Acc.boat: 0.9018, Acc.bar: 0.7918, Acc.arcade machine: 0.7208, Acc.hovel: 0.2690, Acc.bus: 0.9691, Acc.towel: 0.8565, Acc.light: 0.5654, Acc.truck: 0.6338, Acc.tower: 0.3714, Acc.chandelier: 0.8209, Acc.awning: 0.4482, Acc.streetlight: 0.3683, Acc.booth: 0.7251, Acc.television receiver: 0.8806, Acc.airplane: 0.9098, Acc.dirt track: 0.5221, Acc.apparel: 0.6832, Acc.pole: 0.3120, Acc.land: 0.0450, Acc.bannister: 0.2129, Acc.escalator: 0.8397, Acc.ottoman: 0.6918, Acc.bottle: 0.6545, Acc.buffet: 0.6155, Acc.poster: 0.4314, Acc.stage: 0.3181, Acc.van: 0.7139, Acc.ship: 0.7694, Acc.fountain: 0.3583, Acc.conveyer belt: 0.9392, Acc.canopy: 0.6434, Acc.washer: 0.8977, Acc.plaything: 0.5113, Acc.swimming pool: 0.7678, Acc.stool: 0.6568, Acc.barrel: 0.8983, Acc.basket: 0.5638, Acc.waterfall: 0.5800, Acc.tent: 0.9833, Acc.bag: 0.2882, Acc.minibike: 0.8847, Acc.cradle: 0.9805, Acc.oven: 0.7337, Acc.ball: 0.7004, Acc.food: 0.7481, Acc.step: 0.1345, Acc.tank: 0.6592, Acc.trade name: 0.2829, Acc.microwave: 0.9565, Acc.pot: 0.6741, Acc.animal: 0.7159, Acc.bicycle: 0.7996, Acc.lake: 0.6379, Acc.dishwasher: 0.8314, Acc.screen: 0.8927, Acc.blanket: 0.2911, Acc.sculpture: 0.8794, Acc.hood: 0.7494, Acc.sconce: 0.6772, Acc.vase: 0.6290, Acc.traffic light: 0.5481, Acc.tray: 0.2908, Acc.ashcan: 0.6473, Acc.fan: 0.7530, Acc.pier: 0.4530, Acc.crt screen: 0.1137, Acc.plate: 0.7674, Acc.monitor: 0.2959, Acc.bulletin board: 0.6585, Acc.shower: 0.2068, Acc.radiator: 0.7794, Acc.glass: 0.2139, Acc.clock: 0.6414, Acc.flag: 0.7562 2023-11-03 06:50:58,611 - mmseg - INFO - Iter [78050/80000] lr: 7.901e-08, eta: 0:43:20, time: 2.395, data_time: 1.186, memory: 38534, decode.loss_ce: 0.1317, decode.acc_seg: 94.1554, loss: 0.1317 2023-11-03 06:51:59,307 - mmseg - INFO - Iter [78100/80000] lr: 7.699e-08, eta: 0:42:13, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1372, decode.acc_seg: 93.9207, loss: 0.1372 2023-11-03 06:53:00,004 - mmseg - INFO - Iter [78150/80000] lr: 7.496e-08, eta: 0:41:06, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1419, decode.acc_seg: 93.8017, loss: 0.1419 2023-11-03 06:54:00,730 - mmseg - INFO - Iter [78200/80000] lr: 7.294e-08, eta: 0:39:59, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1378, decode.acc_seg: 93.9872, loss: 0.1378 2023-11-03 06:55:01,418 - mmseg - INFO - Iter [78250/80000] lr: 7.091e-08, eta: 0:38:52, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1388, decode.acc_seg: 94.0547, loss: 0.1388 2023-11-03 06:56:02,124 - mmseg - INFO - Iter [78300/80000] lr: 6.889e-08, eta: 0:37:46, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1350, decode.acc_seg: 94.1030, loss: 0.1350 2023-11-03 06:57:05,185 - mmseg - INFO - Iter [78350/80000] lr: 6.686e-08, eta: 0:36:39, time: 1.261, data_time: 0.055, memory: 38534, decode.loss_ce: 0.1427, decode.acc_seg: 93.6871, loss: 0.1427 2023-11-03 06:58:05,841 - mmseg - INFO - Iter [78400/80000] lr: 6.484e-08, eta: 0:35:32, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1340, decode.acc_seg: 93.9712, loss: 0.1340 2023-11-03 06:59:06,537 - mmseg - INFO - Iter [78450/80000] lr: 6.281e-08, eta: 0:34:25, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1357, decode.acc_seg: 93.9252, loss: 0.1357 2023-11-03 07:00:07,204 - mmseg - INFO - Iter [78500/80000] lr: 6.079e-08, eta: 0:33:19, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1302, decode.acc_seg: 94.1568, loss: 0.1302 2023-11-03 07:01:07,898 - mmseg - INFO - Iter [78550/80000] lr: 5.876e-08, eta: 0:32:12, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1246, decode.acc_seg: 94.4568, loss: 0.1246 2023-11-03 07:02:08,596 - mmseg - INFO - Iter [78600/80000] lr: 5.674e-08, eta: 0:31:05, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1338, decode.acc_seg: 94.0682, loss: 0.1338 2023-11-03 07:03:09,322 - mmseg - INFO - Iter [78650/80000] lr: 5.471e-08, eta: 0:29:58, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1410, decode.acc_seg: 93.8793, loss: 0.1410 2023-11-03 07:04:09,963 - mmseg - INFO - Iter [78700/80000] lr: 5.269e-08, eta: 0:28:52, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1454, decode.acc_seg: 94.0540, loss: 0.1454 2023-11-03 07:05:10,644 - mmseg - INFO - Iter [78750/80000] lr: 5.066e-08, eta: 0:27:45, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1349, decode.acc_seg: 94.0042, loss: 0.1349 2023-11-03 07:06:11,335 - mmseg - INFO - Iter [78800/80000] lr: 4.864e-08, eta: 0:26:38, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1333, decode.acc_seg: 94.0546, loss: 0.1333 2023-11-03 07:07:11,984 - mmseg - INFO - Iter [78850/80000] lr: 4.661e-08, eta: 0:25:32, time: 1.213, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1418, decode.acc_seg: 93.8067, loss: 0.1418 2023-11-03 07:08:12,672 - mmseg - INFO - Iter [78900/80000] lr: 4.459e-08, eta: 0:24:25, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1393, decode.acc_seg: 94.0053, loss: 0.1393 2023-11-03 07:09:13,369 - mmseg - INFO - Iter [78950/80000] lr: 4.256e-08, eta: 0:23:18, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1328, decode.acc_seg: 94.1448, loss: 0.1328 2023-11-03 07:10:14,034 - mmseg - INFO - Saving checkpoint at 79000 iterations 2023-11-03 07:11:11,533 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-03 07:11:11,533 - mmseg - INFO - Iter [79000/80000] lr: 4.054e-08, eta: 0:22:12, time: 2.363, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1342, decode.acc_seg: 93.9673, loss: 0.1342 2023-11-03 07:12:10,734 - mmseg - INFO - per class results: 2023-11-03 07:12:10,739 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 81.35 | 89.62 | | building | 84.22 | 93.92 | | sky | 94.68 | 97.53 | | floor | 84.64 | 91.75 | | tree | 76.91 | 89.92 | | ceiling | 87.32 | 94.24 | | road | 86.88 | 91.6 | | bed | 92.04 | 97.29 | | windowpane | 67.13 | 82.52 | | grass | 69.06 | 81.98 | | cabinet | 67.29 | 77.53 | | sidewalk | 70.93 | 84.27 | | person | 83.82 | 93.17 | | earth | 42.3 | 54.76 | | door | 61.54 | 75.83 | | table | 70.63 | 82.51 | | mountain | 63.38 | 75.42 | | plant | 54.46 | 68.73 | | curtain | 77.83 | 89.11 | | chair | 63.64 | 76.5 | | car | 87.17 | 93.48 | | water | 60.41 | 75.65 | | painting | 78.22 | 89.17 | | sofa | 83.53 | 91.49 | | shelf | 48.38 | 63.39 | | house | 48.66 | 60.11 | | sea | 68.32 | 85.55 | | mirror | 77.93 | 88.04 | | rug | 66.88 | 76.76 | | field | 32.32 | 54.99 | | armchair | 64.7 | 79.33 | | seat | 64.19 | 89.47 | | fence | 51.98 | 68.99 | | desk | 59.13 | 79.55 | | rock | 55.81 | 84.32 | | wardrobe | 53.03 | 69.65 | | lamp | 72.24 | 83.29 | | bathtub | 88.34 | 91.56 | | railing | 41.49 | 58.36 | | cushion | 65.99 | 79.72 | | base | 38.84 | 51.72 | | box | 40.42 | 49.16 | | column | 51.88 | 62.85 | | signboard | 39.12 | 53.54 | | chest of drawers | 51.64 | 75.74 | | counter | 36.04 | 44.98 | | sand | 59.76 | 87.3 | | sink | 82.05 | 88.39 | | skyscraper | 43.65 | 56.15 | | fireplace | 73.71 | 90.62 | | refrigerator | 86.85 | 93.42 | | grandstand | 54.44 | 81.99 | | path | 25.64 | 33.33 | | stairs | 28.77 | 35.13 | | runway | 74.95 | 96.01 | | case | 60.05 | 80.81 | | pool table | 94.25 | 97.76 | | pillow | 61.9 | 71.97 | | screen door | 79.63 | 81.27 | | stairway | 40.36 | 59.01 | | river | 11.56 | 20.92 | | bridge | 75.34 | 83.03 | | bookcase | 42.47 | 58.52 | | blind | 41.63 | 47.04 | | coffee table | 63.08 | 84.13 | | toilet | 90.03 | 93.51 | | flower | 41.36 | 57.6 | | book | 51.72 | 75.09 | | hill | 10.13 | 14.34 | | bench | 55.01 | 61.85 | | countertop | 65.41 | 81.63 | | stove | 86.58 | 92.3 | | palm | 53.08 | 80.15 | | kitchen island | 58.35 | 83.04 | | computer | 77.81 | 88.7 | | swivel chair | 43.63 | 66.37 | | boat | 80.13 | 90.48 | | bar | 60.15 | 81.14 | | arcade machine | 69.01 | 71.03 | | hovel | 24.41 | 26.28 | | bus | 93.29 | 96.83 | | towel | 76.25 | 85.07 | | light | 48.45 | 56.2 | | truck | 52.85 | 62.56 | | tower | 25.23 | 37.17 | | chandelier | 71.16 | 82.65 | | awning | 35.23 | 44.29 | | streetlight | 28.83 | 38.54 | | booth | 61.64 | 70.89 | | television receiver | 75.46 | 87.9 | | airplane | 84.04 | 90.24 | | dirt track | 21.4 | 52.07 | | apparel | 53.47 | 69.57 | | pole | 21.5 | 30.61 | | land | 3.45 | 4.41 | | bannister | 16.2 | 21.07 | | escalator | 67.1 | 83.5 | | ottoman | 53.94 | 68.82 | | bottle | 43.09 | 64.33 | | buffet | 52.38 | 59.06 | | poster | 36.94 | 44.09 | | stage | 20.02 | 30.17 | | van | 51.96 | 70.86 | | ship | 73.48 | 76.97 | | fountain | 33.73 | 33.87 | | conveyer belt | 80.01 | 93.83 | | canopy | 48.65 | 61.75 | | washer | 84.66 | 89.4 | | plaything | 35.12 | 50.49 | | swimming pool | 56.94 | 76.04 | | stool | 50.51 | 66.43 | | barrel | 64.55 | 89.32 | | basket | 42.88 | 55.92 | | waterfall | 48.86 | 57.96 | | tent | 96.27 | 98.19 | | bag | 25.07 | 27.54 | | minibike | 74.19 | 87.04 | | cradle | 84.55 | 98.03 | | oven | 63.19 | 74.01 | | ball | 61.85 | 68.34 | | food | 62.29 | 74.46 | | step | 11.21 | 13.03 | | tank | 62.56 | 65.78 | | trade name | 24.82 | 27.76 | | microwave | 90.96 | 95.23 | | pot | 59.78 | 67.61 | | animal | 68.75 | 70.6 | | bicycle | 60.67 | 77.17 | | lake | 53.24 | 63.78 | | dishwasher | 75.12 | 82.64 | | screen | 61.2 | 88.54 | | blanket | 25.33 | 29.23 | | sculpture | 76.05 | 88.16 | | hood | 63.38 | 74.28 | | sconce | 55.28 | 69.1 | | vase | 47.54 | 63.57 | | traffic light | 37.11 | 53.84 | | tray | 23.06 | 29.1 | | ashcan | 51.52 | 64.33 | | fan | 63.51 | 75.43 | | pier | 40.14 | 45.16 | | crt screen | 4.92 | 11.56 | | plate | 61.04 | 76.34 | | monitor | 25.6 | 29.56 | | bulletin board | 55.07 | 66.38 | | shower | 15.13 | 20.31 | | radiator | 64.6 | 77.89 | | glass | 19.63 | 21.43 | | clock | 49.44 | 63.1 | | flag | 67.56 | 74.43 | +---------------------+-------+-------+ 2023-11-03 07:12:10,739 - mmseg - INFO - Summary: 2023-11-03 07:12:10,740 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 86.01 | 57.12 | 68.77 | +-------+-------+-------+ 2023-11-03 07:12:10,740 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-03 07:12:10,741 - mmseg - INFO - Iter(val) [250] aAcc: 0.8601, mIoU: 0.5712, mAcc: 0.6877, IoU.wall: 0.8135, IoU.building: 0.8422, IoU.sky: 0.9468, IoU.floor: 0.8464, IoU.tree: 0.7691, IoU.ceiling: 0.8732, IoU.road: 0.8688, IoU.bed : 0.9204, IoU.windowpane: 0.6713, IoU.grass: 0.6906, IoU.cabinet: 0.6729, IoU.sidewalk: 0.7093, IoU.person: 0.8382, IoU.earth: 0.4230, IoU.door: 0.6154, IoU.table: 0.7063, IoU.mountain: 0.6338, IoU.plant: 0.5446, IoU.curtain: 0.7783, IoU.chair: 0.6364, IoU.car: 0.8717, IoU.water: 0.6041, IoU.painting: 0.7822, IoU.sofa: 0.8353, IoU.shelf: 0.4838, IoU.house: 0.4866, IoU.sea: 0.6832, IoU.mirror: 0.7793, IoU.rug: 0.6688, IoU.field: 0.3232, IoU.armchair: 0.6470, IoU.seat: 0.6419, IoU.fence: 0.5198, IoU.desk: 0.5913, IoU.rock: 0.5581, IoU.wardrobe: 0.5303, IoU.lamp: 0.7224, IoU.bathtub: 0.8834, IoU.railing: 0.4149, IoU.cushion: 0.6599, IoU.base: 0.3884, IoU.box: 0.4042, IoU.column: 0.5188, IoU.signboard: 0.3912, IoU.chest of drawers: 0.5164, IoU.counter: 0.3604, IoU.sand: 0.5976, IoU.sink: 0.8205, IoU.skyscraper: 0.4365, IoU.fireplace: 0.7371, IoU.refrigerator: 0.8685, IoU.grandstand: 0.5444, IoU.path: 0.2564, IoU.stairs: 0.2877, IoU.runway: 0.7495, IoU.case: 0.6005, IoU.pool table: 0.9425, IoU.pillow: 0.6190, IoU.screen door: 0.7963, IoU.stairway: 0.4036, IoU.river: 0.1156, IoU.bridge: 0.7534, IoU.bookcase: 0.4247, IoU.blind: 0.4163, IoU.coffee table: 0.6308, IoU.toilet: 0.9003, IoU.flower: 0.4136, IoU.book: 0.5172, IoU.hill: 0.1013, IoU.bench: 0.5501, IoU.countertop: 0.6541, IoU.stove: 0.8658, IoU.palm: 0.5308, IoU.kitchen island: 0.5835, IoU.computer: 0.7781, IoU.swivel chair: 0.4363, IoU.boat: 0.8013, IoU.bar: 0.6015, IoU.arcade machine: 0.6901, IoU.hovel: 0.2441, IoU.bus: 0.9329, IoU.towel: 0.7625, IoU.light: 0.4845, IoU.truck: 0.5285, IoU.tower: 0.2523, IoU.chandelier: 0.7116, IoU.awning: 0.3523, IoU.streetlight: 0.2883, IoU.booth: 0.6164, IoU.television receiver: 0.7546, IoU.airplane: 0.8404, IoU.dirt track: 0.2140, IoU.apparel: 0.5347, IoU.pole: 0.2150, IoU.land: 0.0345, IoU.bannister: 0.1620, IoU.escalator: 0.6710, IoU.ottoman: 0.5394, IoU.bottle: 0.4309, IoU.buffet: 0.5238, IoU.poster: 0.3694, IoU.stage: 0.2002, IoU.van: 0.5196, IoU.ship: 0.7348, IoU.fountain: 0.3373, IoU.conveyer belt: 0.8001, IoU.canopy: 0.4865, IoU.washer: 0.8466, IoU.plaything: 0.3512, IoU.swimming pool: 0.5694, IoU.stool: 0.5051, IoU.barrel: 0.6455, IoU.basket: 0.4288, IoU.waterfall: 0.4886, IoU.tent: 0.9627, IoU.bag: 0.2507, IoU.minibike: 0.7419, IoU.cradle: 0.8455, IoU.oven: 0.6319, IoU.ball: 0.6185, IoU.food: 0.6229, IoU.step: 0.1121, IoU.tank: 0.6256, IoU.trade name: 0.2482, IoU.microwave: 0.9096, IoU.pot: 0.5978, IoU.animal: 0.6875, IoU.bicycle: 0.6067, IoU.lake: 0.5324, IoU.dishwasher: 0.7512, IoU.screen: 0.6120, IoU.blanket: 0.2533, IoU.sculpture: 0.7605, IoU.hood: 0.6338, IoU.sconce: 0.5528, IoU.vase: 0.4754, IoU.traffic light: 0.3711, IoU.tray: 0.2306, IoU.ashcan: 0.5152, IoU.fan: 0.6351, IoU.pier: 0.4014, IoU.crt screen: 0.0492, IoU.plate: 0.6104, IoU.monitor: 0.2560, IoU.bulletin board: 0.5507, IoU.shower: 0.1513, IoU.radiator: 0.6460, IoU.glass: 0.1963, IoU.clock: 0.4944, IoU.flag: 0.6756, Acc.wall: 0.8962, Acc.building: 0.9392, Acc.sky: 0.9753, Acc.floor: 0.9175, Acc.tree: 0.8992, Acc.ceiling: 0.9424, Acc.road: 0.9160, Acc.bed : 0.9729, Acc.windowpane: 0.8252, Acc.grass: 0.8198, Acc.cabinet: 0.7753, Acc.sidewalk: 0.8427, Acc.person: 0.9317, Acc.earth: 0.5476, Acc.door: 0.7583, Acc.table: 0.8251, Acc.mountain: 0.7542, Acc.plant: 0.6873, Acc.curtain: 0.8911, Acc.chair: 0.7650, Acc.car: 0.9348, Acc.water: 0.7565, Acc.painting: 0.8917, Acc.sofa: 0.9149, Acc.shelf: 0.6339, Acc.house: 0.6011, Acc.sea: 0.8555, Acc.mirror: 0.8804, Acc.rug: 0.7676, Acc.field: 0.5499, Acc.armchair: 0.7933, Acc.seat: 0.8947, Acc.fence: 0.6899, Acc.desk: 0.7955, Acc.rock: 0.8432, Acc.wardrobe: 0.6965, Acc.lamp: 0.8329, Acc.bathtub: 0.9156, Acc.railing: 0.5836, Acc.cushion: 0.7972, Acc.base: 0.5172, Acc.box: 0.4916, Acc.column: 0.6285, Acc.signboard: 0.5354, Acc.chest of drawers: 0.7574, Acc.counter: 0.4498, Acc.sand: 0.8730, Acc.sink: 0.8839, Acc.skyscraper: 0.5615, Acc.fireplace: 0.9062, Acc.refrigerator: 0.9342, Acc.grandstand: 0.8199, Acc.path: 0.3333, Acc.stairs: 0.3513, Acc.runway: 0.9601, Acc.case: 0.8081, Acc.pool table: 0.9776, Acc.pillow: 0.7197, Acc.screen door: 0.8127, Acc.stairway: 0.5901, Acc.river: 0.2092, Acc.bridge: 0.8303, Acc.bookcase: 0.5852, Acc.blind: 0.4704, Acc.coffee table: 0.8413, Acc.toilet: 0.9351, Acc.flower: 0.5760, Acc.book: 0.7509, Acc.hill: 0.1434, Acc.bench: 0.6185, Acc.countertop: 0.8163, Acc.stove: 0.9230, Acc.palm: 0.8015, Acc.kitchen island: 0.8304, Acc.computer: 0.8870, Acc.swivel chair: 0.6637, Acc.boat: 0.9048, Acc.bar: 0.8114, Acc.arcade machine: 0.7103, Acc.hovel: 0.2628, Acc.bus: 0.9683, Acc.towel: 0.8507, Acc.light: 0.5620, Acc.truck: 0.6256, Acc.tower: 0.3717, Acc.chandelier: 0.8265, Acc.awning: 0.4429, Acc.streetlight: 0.3854, Acc.booth: 0.7089, Acc.television receiver: 0.8790, Acc.airplane: 0.9024, Acc.dirt track: 0.5207, Acc.apparel: 0.6957, Acc.pole: 0.3061, Acc.land: 0.0441, Acc.bannister: 0.2107, Acc.escalator: 0.8350, Acc.ottoman: 0.6882, Acc.bottle: 0.6433, Acc.buffet: 0.5906, Acc.poster: 0.4409, Acc.stage: 0.3017, Acc.van: 0.7086, Acc.ship: 0.7697, Acc.fountain: 0.3387, Acc.conveyer belt: 0.9383, Acc.canopy: 0.6175, Acc.washer: 0.8940, Acc.plaything: 0.5049, Acc.swimming pool: 0.7604, Acc.stool: 0.6643, Acc.barrel: 0.8932, Acc.basket: 0.5592, Acc.waterfall: 0.5796, Acc.tent: 0.9819, Acc.bag: 0.2754, Acc.minibike: 0.8704, Acc.cradle: 0.9803, Acc.oven: 0.7401, Acc.ball: 0.6834, Acc.food: 0.7446, Acc.step: 0.1303, Acc.tank: 0.6578, Acc.trade name: 0.2776, Acc.microwave: 0.9523, Acc.pot: 0.6761, Acc.animal: 0.7060, Acc.bicycle: 0.7717, Acc.lake: 0.6378, Acc.dishwasher: 0.8264, Acc.screen: 0.8854, Acc.blanket: 0.2923, Acc.sculpture: 0.8816, Acc.hood: 0.7428, Acc.sconce: 0.6910, Acc.vase: 0.6357, Acc.traffic light: 0.5384, Acc.tray: 0.2910, Acc.ashcan: 0.6433, Acc.fan: 0.7543, Acc.pier: 0.4516, Acc.crt screen: 0.1156, Acc.plate: 0.7634, Acc.monitor: 0.2956, Acc.bulletin board: 0.6638, Acc.shower: 0.2031, Acc.radiator: 0.7789, Acc.glass: 0.2143, Acc.clock: 0.6310, Acc.flag: 0.7443 2023-11-03 07:13:11,535 - mmseg - INFO - Iter [79050/80000] lr: 3.851e-08, eta: 0:21:06, time: 2.400, data_time: 1.191, memory: 38534, decode.loss_ce: 0.1321, decode.acc_seg: 94.0859, loss: 0.1321 2023-11-03 07:14:12,243 - mmseg - INFO - Iter [79100/80000] lr: 3.649e-08, eta: 0:19:59, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1320, decode.acc_seg: 94.2399, loss: 0.1320 2023-11-03 07:15:12,963 - mmseg - INFO - Iter [79150/80000] lr: 3.446e-08, eta: 0:18:53, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1290, decode.acc_seg: 94.3203, loss: 0.1290 2023-11-03 07:16:13,759 - mmseg - INFO - Iter [79200/80000] lr: 3.244e-08, eta: 0:17:46, time: 1.216, data_time: 0.008, memory: 38534, decode.loss_ce: 0.1337, decode.acc_seg: 94.0693, loss: 0.1337 2023-11-03 07:17:14,474 - mmseg - INFO - Iter [79250/80000] lr: 3.041e-08, eta: 0:16:39, time: 1.214, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1328, decode.acc_seg: 94.2549, loss: 0.1328 2023-11-03 07:18:15,232 - mmseg - INFO - Iter [79300/80000] lr: 2.839e-08, eta: 0:15:33, time: 1.215, data_time: 0.008, memory: 38534, decode.loss_ce: 0.1372, decode.acc_seg: 93.9600, loss: 0.1372 2023-11-03 07:19:15,977 - mmseg - INFO - Iter [79350/80000] lr: 2.636e-08, eta: 0:14:26, time: 1.215, data_time: 0.008, memory: 38534, decode.loss_ce: 0.1275, decode.acc_seg: 94.2830, loss: 0.1275 2023-11-03 07:20:16,705 - mmseg - INFO - Iter [79400/80000] lr: 2.434e-08, eta: 0:13:19, time: 1.215, data_time: 0.007, memory: 38534, decode.loss_ce: 0.1327, decode.acc_seg: 94.2113, loss: 0.1327 2023-11-03 07:21:17,473 - mmseg - INFO - Iter [79450/80000] lr: 2.231e-08, eta: 0:12:13, time: 1.215, data_time: 0.008, memory: 38534, decode.loss_ce: 0.1360, decode.acc_seg: 94.2305, loss: 0.1360 2023-11-03 07:22:18,199 - mmseg - INFO - Iter [79500/80000] lr: 2.029e-08, eta: 0:11:06, time: 1.214, data_time: 0.008, memory: 38534, decode.loss_ce: 0.1377, decode.acc_seg: 94.0959, loss: 0.1377 2023-11-03 07:23:18,940 - mmseg - INFO - Iter [79550/80000] lr: 1.826e-08, eta: 0:09:59, time: 1.215, data_time: 0.008, memory: 38534, decode.loss_ce: 0.1273, decode.acc_seg: 94.2880, loss: 0.1273 2023-11-03 07:24:22,282 - mmseg - INFO - Iter [79600/80000] lr: 1.624e-08, eta: 0:08:53, time: 1.267, data_time: 0.057, memory: 38534, decode.loss_ce: 0.1269, decode.acc_seg: 94.4389, loss: 0.1269 2023-11-03 07:25:23,030 - mmseg - INFO - Iter [79650/80000] lr: 1.421e-08, eta: 0:07:46, time: 1.215, data_time: 0.008, memory: 38534, decode.loss_ce: 0.1315, decode.acc_seg: 94.2792, loss: 0.1315 2023-11-03 07:26:23,790 - mmseg - INFO - Iter [79700/80000] lr: 1.219e-08, eta: 0:06:39, time: 1.215, data_time: 0.008, memory: 38534, decode.loss_ce: 0.1284, decode.acc_seg: 94.1501, loss: 0.1284 2023-11-03 07:27:24,558 - mmseg - INFO - Iter [79750/80000] lr: 1.016e-08, eta: 0:05:33, time: 1.215, data_time: 0.008, memory: 38534, decode.loss_ce: 0.1362, decode.acc_seg: 94.1095, loss: 0.1362 2023-11-03 07:28:25,314 - mmseg - INFO - Iter [79800/80000] lr: 8.140e-09, eta: 0:04:26, time: 1.215, data_time: 0.008, memory: 38534, decode.loss_ce: 0.1377, decode.acc_seg: 93.9580, loss: 0.1377 2023-11-03 07:29:26,063 - mmseg - INFO - Iter [79850/80000] lr: 6.115e-09, eta: 0:03:19, time: 1.215, data_time: 0.008, memory: 38534, decode.loss_ce: 0.1386, decode.acc_seg: 93.9080, loss: 0.1386 2023-11-03 07:30:26,864 - mmseg - INFO - Iter [79900/80000] lr: 4.090e-09, eta: 0:02:13, time: 1.216, data_time: 0.008, memory: 38534, decode.loss_ce: 0.1384, decode.acc_seg: 93.8295, loss: 0.1384 2023-11-03 07:31:27,627 - mmseg - INFO - Iter [79950/80000] lr: 2.065e-09, eta: 0:01:06, time: 1.215, data_time: 0.008, memory: 38534, decode.loss_ce: 0.1389, decode.acc_seg: 93.8516, loss: 0.1389 2023-11-03 07:32:28,393 - mmseg - INFO - Saving checkpoint at 80000 iterations 2023-11-03 07:33:27,335 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-03 07:33:27,336 - mmseg - INFO - Iter [80000/80000] lr: 4.050e-11, eta: 0:00:00, time: 2.394, data_time: 0.008, memory: 38534, decode.loss_ce: 0.1314, decode.acc_seg: 94.1964, loss: 0.1314 2023-11-03 07:34:30,416 - mmseg - INFO - per class results: 2023-11-03 07:34:30,422 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 81.43 | 90.02 | | building | 84.28 | 94.01 | | sky | 94.69 | 97.43 | | floor | 84.62 | 92.11 | | tree | 77.11 | 89.22 | | ceiling | 87.35 | 93.94 | | road | 86.87 | 91.71 | | bed | 92.11 | 97.1 | | windowpane | 67.23 | 81.76 | | grass | 68.95 | 82.27 | | cabinet | 67.08 | 76.93 | | sidewalk | 71.02 | 84.12 | | person | 83.79 | 93.12 | | earth | 42.29 | 56.18 | | door | 61.69 | 75.02 | | table | 70.57 | 81.61 | | mountain | 63.47 | 75.99 | | plant | 54.47 | 68.08 | | curtain | 77.91 | 88.96 | | chair | 63.5 | 75.61 | | car | 87.21 | 93.31 | | water | 61.03 | 77.27 | | painting | 78.03 | 89.24 | | sofa | 83.51 | 91.56 | | shelf | 48.72 | 64.99 | | house | 48.74 | 60.17 | | sea | 69.34 | 84.86 | | mirror | 78.0 | 88.18 | | rug | 66.73 | 76.56 | | field | 31.9 | 52.78 | | armchair | 64.47 | 79.68 | | seat | 64.61 | 89.05 | | fence | 52.13 | 68.09 | | desk | 58.94 | 79.56 | | rock | 55.76 | 84.17 | | wardrobe | 52.92 | 70.02 | | lamp | 72.22 | 83.1 | | bathtub | 87.98 | 91.09 | | railing | 41.44 | 57.3 | | cushion | 65.82 | 78.83 | | base | 38.64 | 51.14 | | box | 40.53 | 49.34 | | column | 51.89 | 62.94 | | signboard | 39.27 | 53.39 | | chest of drawers | 51.82 | 75.96 | | counter | 36.83 | 46.22 | | sand | 60.15 | 87.26 | | sink | 81.51 | 87.7 | | skyscraper | 43.77 | 56.5 | | fireplace | 73.74 | 90.57 | | refrigerator | 86.68 | 93.91 | | grandstand | 53.64 | 82.34 | | path | 24.82 | 31.79 | | stairs | 29.1 | 35.36 | | runway | 75.04 | 96.23 | | case | 60.16 | 81.03 | | pool table | 94.29 | 97.69 | | pillow | 62.38 | 72.91 | | screen door | 79.89 | 81.46 | | stairway | 40.8 | 58.44 | | river | 11.27 | 20.55 | | bridge | 75.47 | 83.46 | | bookcase | 42.82 | 57.94 | | blind | 41.88 | 47.24 | | coffee table | 62.81 | 84.04 | | toilet | 90.01 | 93.6 | | flower | 42.25 | 59.77 | | book | 51.99 | 74.87 | | hill | 10.61 | 15.42 | | bench | 54.78 | 61.12 | | countertop | 65.24 | 81.77 | | stove | 86.55 | 92.26 | | palm | 53.34 | 80.36 | | kitchen island | 57.67 | 83.22 | | computer | 77.57 | 88.93 | | swivel chair | 43.52 | 66.28 | | boat | 79.78 | 89.94 | | bar | 59.37 | 79.63 | | arcade machine | 69.4 | 71.46 | | hovel | 24.81 | 26.79 | | bus | 93.19 | 96.91 | | towel | 76.23 | 84.94 | | light | 49.05 | 57.44 | | truck | 52.79 | 63.34 | | tower | 27.57 | 41.37 | | chandelier | 71.04 | 82.25 | | awning | 35.19 | 44.05 | | streetlight | 28.73 | 38.17 | | booth | 61.51 | 72.15 | | television receiver | 74.99 | 87.85 | | airplane | 84.42 | 90.97 | | dirt track | 19.5 | 51.93 | | apparel | 53.22 | 69.3 | | pole | 21.27 | 30.92 | | land | 3.48 | 4.52 | | bannister | 16.23 | 21.14 | | escalator | 66.99 | 83.47 | | ottoman | 53.9 | 68.6 | | bottle | 43.13 | 62.88 | | buffet | 52.9 | 59.83 | | poster | 35.52 | 42.01 | | stage | 20.48 | 31.24 | | van | 52.21 | 71.44 | | ship | 74.13 | 77.87 | | fountain | 31.39 | 31.53 | | conveyer belt | 79.92 | 94.02 | | canopy | 48.86 | 62.05 | | washer | 84.77 | 89.63 | | plaything | 35.38 | 50.4 | | swimming pool | 59.4 | 75.92 | | stool | 50.41 | 66.3 | | barrel | 64.81 | 89.17 | | basket | 43.41 | 56.87 | | waterfall | 48.77 | 58.1 | | tent | 96.36 | 98.33 | | bag | 25.5 | 28.26 | | minibike | 73.93 | 87.57 | | cradle | 84.45 | 97.87 | | oven | 62.35 | 73.09 | | ball | 61.95 | 68.67 | | food | 62.22 | 73.92 | | step | 11.09 | 12.8 | | tank | 62.63 | 65.84 | | trade name | 25.03 | 28.15 | | microwave | 90.96 | 95.47 | | pot | 59.85 | 68.05 | | animal | 68.94 | 70.87 | | bicycle | 60.55 | 77.73 | | lake | 53.28 | 63.77 | | dishwasher | 75.01 | 82.8 | | screen | 61.71 | 89.36 | | blanket | 25.87 | 29.87 | | sculpture | 76.18 | 88.03 | | hood | 63.4 | 74.31 | | sconce | 54.68 | 67.23 | | vase | 47.47 | 63.76 | | traffic light | 37.13 | 55.5 | | tray | 23.21 | 29.68 | | ashcan | 51.63 | 64.51 | | fan | 63.94 | 76.89 | | pier | 40.06 | 45.07 | | crt screen | 4.78 | 10.89 | | plate | 61.04 | 76.56 | | monitor | 26.98 | 31.22 | | bulletin board | 55.3 | 66.08 | | shower | 14.15 | 20.25 | | radiator | 64.73 | 77.58 | | glass | 19.58 | 21.36 | | clock | 49.49 | 63.1 | | flag | 67.28 | 74.34 | +---------------------+-------+-------+ 2023-11-03 07:34:30,422 - mmseg - INFO - Summary: 2023-11-03 07:34:30,422 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 86.03 | 57.16 | 68.82 | +-------+-------+-------+ 2023-11-03 07:34:30,423 - mmseg - INFO - Exp name: segmenter_linear_intern_vit_6b_504_80k_ade20k_bs16_lr4e-5_norm_dp04.py 2023-11-03 07:34:30,423 - mmseg - INFO - Iter(val) [250] aAcc: 0.8603, mIoU: 0.5716, mAcc: 0.6882, IoU.wall: 0.8143, IoU.building: 0.8428, IoU.sky: 0.9469, IoU.floor: 0.8462, IoU.tree: 0.7711, IoU.ceiling: 0.8735, IoU.road: 0.8687, IoU.bed : 0.9211, IoU.windowpane: 0.6723, IoU.grass: 0.6895, IoU.cabinet: 0.6708, IoU.sidewalk: 0.7102, IoU.person: 0.8379, IoU.earth: 0.4229, IoU.door: 0.6169, IoU.table: 0.7057, IoU.mountain: 0.6347, IoU.plant: 0.5447, IoU.curtain: 0.7791, IoU.chair: 0.6350, IoU.car: 0.8721, IoU.water: 0.6103, IoU.painting: 0.7803, IoU.sofa: 0.8351, IoU.shelf: 0.4872, IoU.house: 0.4874, IoU.sea: 0.6934, IoU.mirror: 0.7800, IoU.rug: 0.6673, IoU.field: 0.3190, IoU.armchair: 0.6447, IoU.seat: 0.6461, IoU.fence: 0.5213, IoU.desk: 0.5894, IoU.rock: 0.5576, IoU.wardrobe: 0.5292, IoU.lamp: 0.7222, IoU.bathtub: 0.8798, IoU.railing: 0.4144, IoU.cushion: 0.6582, IoU.base: 0.3864, IoU.box: 0.4053, IoU.column: 0.5189, IoU.signboard: 0.3927, IoU.chest of drawers: 0.5182, IoU.counter: 0.3683, IoU.sand: 0.6015, IoU.sink: 0.8151, IoU.skyscraper: 0.4377, IoU.fireplace: 0.7374, IoU.refrigerator: 0.8668, IoU.grandstand: 0.5364, IoU.path: 0.2482, IoU.stairs: 0.2910, IoU.runway: 0.7504, IoU.case: 0.6016, IoU.pool table: 0.9429, IoU.pillow: 0.6238, IoU.screen door: 0.7989, IoU.stairway: 0.4080, IoU.river: 0.1127, IoU.bridge: 0.7547, IoU.bookcase: 0.4282, IoU.blind: 0.4188, IoU.coffee table: 0.6281, IoU.toilet: 0.9001, IoU.flower: 0.4225, IoU.book: 0.5199, IoU.hill: 0.1061, IoU.bench: 0.5478, IoU.countertop: 0.6524, IoU.stove: 0.8655, IoU.palm: 0.5334, IoU.kitchen island: 0.5767, IoU.computer: 0.7757, IoU.swivel chair: 0.4352, IoU.boat: 0.7978, IoU.bar: 0.5937, IoU.arcade machine: 0.6940, IoU.hovel: 0.2481, IoU.bus: 0.9319, IoU.towel: 0.7623, IoU.light: 0.4905, IoU.truck: 0.5279, IoU.tower: 0.2757, IoU.chandelier: 0.7104, IoU.awning: 0.3519, IoU.streetlight: 0.2873, IoU.booth: 0.6151, IoU.television receiver: 0.7499, IoU.airplane: 0.8442, IoU.dirt track: 0.1950, IoU.apparel: 0.5322, IoU.pole: 0.2127, IoU.land: 0.0348, IoU.bannister: 0.1623, IoU.escalator: 0.6699, IoU.ottoman: 0.5390, IoU.bottle: 0.4313, IoU.buffet: 0.5290, IoU.poster: 0.3552, IoU.stage: 0.2048, IoU.van: 0.5221, IoU.ship: 0.7413, IoU.fountain: 0.3139, IoU.conveyer belt: 0.7992, IoU.canopy: 0.4886, IoU.washer: 0.8477, IoU.plaything: 0.3538, IoU.swimming pool: 0.5940, IoU.stool: 0.5041, IoU.barrel: 0.6481, IoU.basket: 0.4341, IoU.waterfall: 0.4877, IoU.tent: 0.9636, IoU.bag: 0.2550, IoU.minibike: 0.7393, IoU.cradle: 0.8445, IoU.oven: 0.6235, IoU.ball: 0.6195, IoU.food: 0.6222, IoU.step: 0.1109, IoU.tank: 0.6263, IoU.trade name: 0.2503, IoU.microwave: 0.9096, IoU.pot: 0.5985, IoU.animal: 0.6894, IoU.bicycle: 0.6055, IoU.lake: 0.5328, IoU.dishwasher: 0.7501, IoU.screen: 0.6171, IoU.blanket: 0.2587, IoU.sculpture: 0.7618, IoU.hood: 0.6340, IoU.sconce: 0.5468, IoU.vase: 0.4747, IoU.traffic light: 0.3713, IoU.tray: 0.2321, IoU.ashcan: 0.5163, IoU.fan: 0.6394, IoU.pier: 0.4006, IoU.crt screen: 0.0478, IoU.plate: 0.6104, IoU.monitor: 0.2698, IoU.bulletin board: 0.5530, IoU.shower: 0.1415, IoU.radiator: 0.6473, IoU.glass: 0.1958, IoU.clock: 0.4949, IoU.flag: 0.6728, Acc.wall: 0.9002, Acc.building: 0.9401, Acc.sky: 0.9743, Acc.floor: 0.9211, Acc.tree: 0.8922, Acc.ceiling: 0.9394, Acc.road: 0.9171, Acc.bed : 0.9710, Acc.windowpane: 0.8176, Acc.grass: 0.8227, Acc.cabinet: 0.7693, Acc.sidewalk: 0.8412, Acc.person: 0.9312, Acc.earth: 0.5618, Acc.door: 0.7502, Acc.table: 0.8161, Acc.mountain: 0.7599, Acc.plant: 0.6808, Acc.curtain: 0.8896, Acc.chair: 0.7561, Acc.car: 0.9331, Acc.water: 0.7727, Acc.painting: 0.8924, Acc.sofa: 0.9156, Acc.shelf: 0.6499, Acc.house: 0.6017, Acc.sea: 0.8486, Acc.mirror: 0.8818, Acc.rug: 0.7656, Acc.field: 0.5278, Acc.armchair: 0.7968, Acc.seat: 0.8905, Acc.fence: 0.6809, Acc.desk: 0.7956, Acc.rock: 0.8417, Acc.wardrobe: 0.7002, Acc.lamp: 0.8310, Acc.bathtub: 0.9109, Acc.railing: 0.5730, Acc.cushion: 0.7883, Acc.base: 0.5114, Acc.box: 0.4934, Acc.column: 0.6294, Acc.signboard: 0.5339, Acc.chest of drawers: 0.7596, Acc.counter: 0.4622, Acc.sand: 0.8726, Acc.sink: 0.8770, Acc.skyscraper: 0.5650, Acc.fireplace: 0.9057, Acc.refrigerator: 0.9391, Acc.grandstand: 0.8234, Acc.path: 0.3179, Acc.stairs: 0.3536, Acc.runway: 0.9623, Acc.case: 0.8103, Acc.pool table: 0.9769, Acc.pillow: 0.7291, Acc.screen door: 0.8146, Acc.stairway: 0.5844, Acc.river: 0.2055, Acc.bridge: 0.8346, Acc.bookcase: 0.5794, Acc.blind: 0.4724, Acc.coffee table: 0.8404, Acc.toilet: 0.9360, Acc.flower: 0.5977, Acc.book: 0.7487, Acc.hill: 0.1542, Acc.bench: 0.6112, Acc.countertop: 0.8177, Acc.stove: 0.9226, Acc.palm: 0.8036, Acc.kitchen island: 0.8322, Acc.computer: 0.8893, Acc.swivel chair: 0.6628, Acc.boat: 0.8994, Acc.bar: 0.7963, Acc.arcade machine: 0.7146, Acc.hovel: 0.2679, Acc.bus: 0.9691, Acc.towel: 0.8494, Acc.light: 0.5744, Acc.truck: 0.6334, Acc.tower: 0.4137, Acc.chandelier: 0.8225, Acc.awning: 0.4405, Acc.streetlight: 0.3817, Acc.booth: 0.7215, Acc.television receiver: 0.8785, Acc.airplane: 0.9097, Acc.dirt track: 0.5193, Acc.apparel: 0.6930, Acc.pole: 0.3092, Acc.land: 0.0452, Acc.bannister: 0.2114, Acc.escalator: 0.8347, Acc.ottoman: 0.6860, Acc.bottle: 0.6288, Acc.buffet: 0.5983, Acc.poster: 0.4201, Acc.stage: 0.3124, Acc.van: 0.7144, Acc.ship: 0.7787, Acc.fountain: 0.3153, Acc.conveyer belt: 0.9402, Acc.canopy: 0.6205, Acc.washer: 0.8963, Acc.plaything: 0.5040, Acc.swimming pool: 0.7592, Acc.stool: 0.6630, Acc.barrel: 0.8917, Acc.basket: 0.5687, Acc.waterfall: 0.5810, Acc.tent: 0.9833, Acc.bag: 0.2826, Acc.minibike: 0.8757, Acc.cradle: 0.9787, Acc.oven: 0.7309, Acc.ball: 0.6867, Acc.food: 0.7392, Acc.step: 0.1280, Acc.tank: 0.6584, Acc.trade name: 0.2815, Acc.microwave: 0.9547, Acc.pot: 0.6805, Acc.animal: 0.7087, Acc.bicycle: 0.7773, Acc.lake: 0.6377, Acc.dishwasher: 0.8280, Acc.screen: 0.8936, Acc.blanket: 0.2987, Acc.sculpture: 0.8803, Acc.hood: 0.7431, Acc.sconce: 0.6723, Acc.vase: 0.6376, Acc.traffic light: 0.5550, Acc.tray: 0.2968, Acc.ashcan: 0.6451, Acc.fan: 0.7689, Acc.pier: 0.4507, Acc.crt screen: 0.1089, Acc.plate: 0.7656, Acc.monitor: 0.3122, Acc.bulletin board: 0.6608, Acc.shower: 0.2025, Acc.radiator: 0.7758, Acc.glass: 0.2136, Acc.clock: 0.6310, Acc.flag: 0.7434