2023-03-03 20:50:44,079 - mmseg - INFO - Multi-processing start method is `None` 2023-03-03 20:50:44,096 - mmseg - INFO - OpenCV num_threads is `128 2023-03-03 20:50:44,096 - mmseg - INFO - OMP num threads is 1 2023-03-03 20:50:44,145 - mmseg - INFO - Environment info: ------------------------------------------------------------ sys.platform: linux Python: 3.7.16 (default, Jan 17 2023, 22:20:44) [GCC 11.2.0] CUDA available: True GPU 0,1,2,3,4,5,6,7: NVIDIA A100-SXM4-80GB CUDA_HOME: /mnt/petrelfs/laizeqiang/miniconda3/envs/torch NVCC: Cuda compilation tools, release 11.6, V11.6.124 GCC: gcc (GCC) 4.8.5 20150623 (Red Hat 4.8.5-44) PyTorch: 1.13.1 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 11.6 - 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 8.3.2 (built against CUDA 11.5) - Magma 2.6.1 - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.6, CUDNN_VERSION=8.3.2, 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=1.13.1, 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: 0.14.1 OpenCV: 4.7.0 MMCV: 1.7.1 MMCV Compiler: GCC 9.3 MMCV CUDA Compiler: 11.6 MMSegmentation: 0.30.0+c844fc6 ------------------------------------------------------------ 2023-03-03 20:50:44,145 - mmseg - INFO - Distributed training: True 2023-03-03 20:50:44,837 - mmseg - INFO - Config: norm_cfg = dict(type='SyncBN', requires_grad=True) model = dict( type='EncoderDecoderDiffusion', pretrained= 'work_dirs2/deeplabv3plus_r50-d8_aspp_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth', backbone=dict( type='ResNetV1cCustomInitWeights', depth=50, num_stages=4, out_indices=(0, 1, 2, 3), dilations=(1, 1, 2, 4), strides=(1, 2, 1, 1), norm_cfg=dict(type='SyncBN', requires_grad=True), norm_eval=False, style='pytorch', contract_dilation=True), decode_head=dict( type='DepthwiseSeparableASPPHeadUnetFCHeadMultiStep', pretrained= 'work_dirs2/deeplabv3plus_r50-d8_aspp_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth', dim=128, out_dim=256, unet_channels=528, dim_mults=[1, 1, 1], cat_embedding_dim=16, ignore_index=0, diffusion_timesteps=100, collect_timesteps=[0, 10, 20, 30, 40, 50, 60, 70, 80, 90, 99], in_channels=2048, in_index=3, channels=512, dilations=(1, 12, 24, 36), c1_in_channels=256, c1_channels=48, dropout_ratio=0.1, num_classes=151, norm_cfg=dict(type='SyncBN', requires_grad=True), align_corners=False, loss_decode=dict( type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0)), auxiliary_head=None, train_cfg=dict(), test_cfg=dict(mode='whole'), freeze_parameters=['backbone', 'decode_head']) dataset_type = 'ADE20K151Dataset' 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 = (512, 512) train_pipeline = [ dict(type='LoadImageFromFile'), dict(type='LoadAnnotations', reduce_zero_label=False), dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)), dict(type='RandomCrop', crop_size=(512, 512), 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=(512, 512), pad_val=0, seg_pad_val=0), dict(type='DefaultFormatBundle'), dict(type='Collect', keys=['img', 'gt_semantic_seg']) ] test_pipeline = [ dict(type='LoadImageFromFile'), dict( type='MultiScaleFlipAug', img_scale=(2048, 512), flip=False, transforms=[ dict(type='Resize', keep_ratio=True), 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='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), dict(type='ImageToTensor', keys=['img']), dict(type='Collect', keys=['img']) ]) ] data = dict( samples_per_gpu=4, workers_per_gpu=4, train=dict( type='ADE20K151Dataset', data_root='data/ade/ADEChallengeData2016', img_dir='images/training', ann_dir='annotations/training', pipeline=[ dict(type='LoadImageFromFile'), dict(type='LoadAnnotations', reduce_zero_label=False), dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)), dict(type='RandomCrop', crop_size=(512, 512), 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=(512, 512), pad_val=0, seg_pad_val=0), dict(type='DefaultFormatBundle'), dict(type='Collect', keys=['img', 'gt_semantic_seg']) ]), val=dict( type='ADE20K151Dataset', data_root='data/ade/ADEChallengeData2016', img_dir='images/validation', ann_dir='annotations/validation', pipeline=[ dict(type='LoadImageFromFile'), dict( type='MultiScaleFlipAug', img_scale=(2048, 512), flip=False, transforms=[ dict(type='Resize', keep_ratio=True), 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='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), dict(type='ImageToTensor', keys=['img']), dict(type='Collect', keys=['img']) ]) ]), test=dict( type='ADE20K151Dataset', data_root='data/ade/ADEChallengeData2016', img_dir='images/validation', ann_dir='annotations/validation', pipeline=[ dict(type='LoadImageFromFile'), dict( type='MultiScaleFlipAug', img_scale=(2048, 512), flip=False, transforms=[ dict(type='Resize', keep_ratio=True), 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='Pad', size_divisor=16, pad_val=0, seg_pad_val=0), dict(type='ImageToTensor', keys=['img']), dict(type='Collect', keys=['img']) ]) ])) log_config = dict( interval=50, hooks=[dict(type='TextLoggerHook', by_epoch=False)]) 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=0.00015, betas=[0.9, 0.96], weight_decay=0.045) optimizer_config = dict() lr_config = dict( policy='step', warmup='linear', warmup_iters=1000, warmup_ratio=1e-06, step=20000, gamma=0.5, min_lr=1e-06, by_epoch=False) runner = dict(type='IterBasedRunner', max_iters=160000) checkpoint_config = dict(by_epoch=False, interval=16000, max_keep_ckpts=1) evaluation = dict( interval=16000, metric='mIoU', pre_eval=True, save_best='mIoU') checkpoint = 'work_dirs2/deeplabv3plus_r50-d8_aspp_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth' custom_hooks = [ dict( type='ConstantMomentumEMAHook', momentum=0.01, interval=25, eval_interval=16000, auto_resume=True, priority=49) ] work_dir = './work_dirs2/deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune' gpu_ids = range(0, 8) auto_resume = True 2023-03-03 20:50:49,171 - mmseg - INFO - Set random seed to 670392038, deterministic: False 2023-03-03 20:50:50,252 - mmseg - INFO - Parameters in backbone freezed! 2023-03-03 20:50:50,254 - mmseg - INFO - Trainable parameters in DepthwiseSeparableASPPHeadUnetFCHeadMultiStep: ['unet.init_conv.weight', 'unet.init_conv.bias', 'unet.time_mlp.1.weight', 'unet.time_mlp.1.bias', 'unet.time_mlp.3.weight', 'unet.time_mlp.3.bias', 'unet.downs.0.0.mlp.1.weight', 'unet.downs.0.0.mlp.1.bias', 'unet.downs.0.0.block1.proj.weight', 'unet.downs.0.0.block1.proj.bias', 'unet.downs.0.0.block1.norm.weight', 'unet.downs.0.0.block1.norm.bias', 'unet.downs.0.0.block2.proj.weight', 'unet.downs.0.0.block2.proj.bias', 'unet.downs.0.0.block2.norm.weight', 'unet.downs.0.0.block2.norm.bias', 'unet.downs.0.1.mlp.1.weight', 'unet.downs.0.1.mlp.1.bias', 'unet.downs.0.1.block1.proj.weight', 'unet.downs.0.1.block1.proj.bias', 'unet.downs.0.1.block1.norm.weight', 'unet.downs.0.1.block1.norm.bias', 'unet.downs.0.1.block2.proj.weight', 'unet.downs.0.1.block2.proj.bias', 'unet.downs.0.1.block2.norm.weight', 'unet.downs.0.1.block2.norm.bias', 'unet.downs.0.2.fn.fn.to_qkv.weight', 'unet.downs.0.2.fn.fn.to_out.0.weight', 'unet.downs.0.2.fn.fn.to_out.0.bias', 'unet.downs.0.2.fn.fn.to_out.1.g', 'unet.downs.0.2.fn.norm.g', 'unet.downs.0.3.weight', 'unet.downs.0.3.bias', 'unet.downs.1.0.mlp.1.weight', 'unet.downs.1.0.mlp.1.bias', 'unet.downs.1.0.block1.proj.weight', 'unet.downs.1.0.block1.proj.bias', 'unet.downs.1.0.block1.norm.weight', 'unet.downs.1.0.block1.norm.bias', 'unet.downs.1.0.block2.proj.weight', 'unet.downs.1.0.block2.proj.bias', 'unet.downs.1.0.block2.norm.weight', 'unet.downs.1.0.block2.norm.bias', 'unet.downs.1.1.mlp.1.weight', 'unet.downs.1.1.mlp.1.bias', 'unet.downs.1.1.block1.proj.weight', 'unet.downs.1.1.block1.proj.bias', 'unet.downs.1.1.block1.norm.weight', 'unet.downs.1.1.block1.norm.bias', 'unet.downs.1.1.block2.proj.weight', 'unet.downs.1.1.block2.proj.bias', 'unet.downs.1.1.block2.norm.weight', 'unet.downs.1.1.block2.norm.bias', 'unet.downs.1.2.fn.fn.to_qkv.weight', 'unet.downs.1.2.fn.fn.to_out.0.weight', 'unet.downs.1.2.fn.fn.to_out.0.bias', 'unet.downs.1.2.fn.fn.to_out.1.g', 'unet.downs.1.2.fn.norm.g', 'unet.downs.1.3.weight', 'unet.downs.1.3.bias', 'unet.downs.2.0.mlp.1.weight', 'unet.downs.2.0.mlp.1.bias', 'unet.downs.2.0.block1.proj.weight', 'unet.downs.2.0.block1.proj.bias', 'unet.downs.2.0.block1.norm.weight', 'unet.downs.2.0.block1.norm.bias', 'unet.downs.2.0.block2.proj.weight', 'unet.downs.2.0.block2.proj.bias', 'unet.downs.2.0.block2.norm.weight', 'unet.downs.2.0.block2.norm.bias', 'unet.downs.2.1.mlp.1.weight', 'unet.downs.2.1.mlp.1.bias', 'unet.downs.2.1.block1.proj.weight', 'unet.downs.2.1.block1.proj.bias', 'unet.downs.2.1.block1.norm.weight', 'unet.downs.2.1.block1.norm.bias', 'unet.downs.2.1.block2.proj.weight', 'unet.downs.2.1.block2.proj.bias', 'unet.downs.2.1.block2.norm.weight', 'unet.downs.2.1.block2.norm.bias', 'unet.downs.2.2.fn.fn.to_qkv.weight', 'unet.downs.2.2.fn.fn.to_out.0.weight', 'unet.downs.2.2.fn.fn.to_out.0.bias', 'unet.downs.2.2.fn.fn.to_out.1.g', 'unet.downs.2.2.fn.norm.g', 'unet.downs.2.3.weight', 'unet.downs.2.3.bias', 'unet.ups.0.0.mlp.1.weight', 'unet.ups.0.0.mlp.1.bias', 'unet.ups.0.0.block1.proj.weight', 'unet.ups.0.0.block1.proj.bias', 'unet.ups.0.0.block1.norm.weight', 'unet.ups.0.0.block1.norm.bias', 'unet.ups.0.0.block2.proj.weight', 'unet.ups.0.0.block2.proj.bias', 'unet.ups.0.0.block2.norm.weight', 'unet.ups.0.0.block2.norm.bias', 'unet.ups.0.0.res_conv.weight', 'unet.ups.0.0.res_conv.bias', 'unet.ups.0.1.mlp.1.weight', 'unet.ups.0.1.mlp.1.bias', 'unet.ups.0.1.block1.proj.weight', 'unet.ups.0.1.block1.proj.bias', 'unet.ups.0.1.block1.norm.weight', 'unet.ups.0.1.block1.norm.bias', 'unet.ups.0.1.block2.proj.weight', 'unet.ups.0.1.block2.proj.bias', 'unet.ups.0.1.block2.norm.weight', 'unet.ups.0.1.block2.norm.bias', 'unet.ups.0.1.res_conv.weight', 'unet.ups.0.1.res_conv.bias', 'unet.ups.0.2.fn.fn.to_qkv.weight', 'unet.ups.0.2.fn.fn.to_out.0.weight', 'unet.ups.0.2.fn.fn.to_out.0.bias', 'unet.ups.0.2.fn.fn.to_out.1.g', 'unet.ups.0.2.fn.norm.g', 'unet.ups.0.3.1.weight', 'unet.ups.0.3.1.bias', 'unet.ups.1.0.mlp.1.weight', 'unet.ups.1.0.mlp.1.bias', 'unet.ups.1.0.block1.proj.weight', 'unet.ups.1.0.block1.proj.bias', 'unet.ups.1.0.block1.norm.weight', 'unet.ups.1.0.block1.norm.bias', 'unet.ups.1.0.block2.proj.weight', 'unet.ups.1.0.block2.proj.bias', 'unet.ups.1.0.block2.norm.weight', 'unet.ups.1.0.block2.norm.bias', 'unet.ups.1.0.res_conv.weight', 'unet.ups.1.0.res_conv.bias', 'unet.ups.1.1.mlp.1.weight', 'unet.ups.1.1.mlp.1.bias', 'unet.ups.1.1.block1.proj.weight', 'unet.ups.1.1.block1.proj.bias', 'unet.ups.1.1.block1.norm.weight', 'unet.ups.1.1.block1.norm.bias', 'unet.ups.1.1.block2.proj.weight', 'unet.ups.1.1.block2.proj.bias', 'unet.ups.1.1.block2.norm.weight', 'unet.ups.1.1.block2.norm.bias', 'unet.ups.1.1.res_conv.weight', 'unet.ups.1.1.res_conv.bias', 'unet.ups.1.2.fn.fn.to_qkv.weight', 'unet.ups.1.2.fn.fn.to_out.0.weight', 'unet.ups.1.2.fn.fn.to_out.0.bias', 'unet.ups.1.2.fn.fn.to_out.1.g', 'unet.ups.1.2.fn.norm.g', 'unet.ups.1.3.1.weight', 'unet.ups.1.3.1.bias', 'unet.ups.2.0.mlp.1.weight', 'unet.ups.2.0.mlp.1.bias', 'unet.ups.2.0.block1.proj.weight', 'unet.ups.2.0.block1.proj.bias', 'unet.ups.2.0.block1.norm.weight', 'unet.ups.2.0.block1.norm.bias', 'unet.ups.2.0.block2.proj.weight', 'unet.ups.2.0.block2.proj.bias', 'unet.ups.2.0.block2.norm.weight', 'unet.ups.2.0.block2.norm.bias', 'unet.ups.2.0.res_conv.weight', 'unet.ups.2.0.res_conv.bias', 'unet.ups.2.1.mlp.1.weight', 'unet.ups.2.1.mlp.1.bias', 'unet.ups.2.1.block1.proj.weight', 'unet.ups.2.1.block1.proj.bias', 'unet.ups.2.1.block1.norm.weight', 'unet.ups.2.1.block1.norm.bias', 'unet.ups.2.1.block2.proj.weight', 'unet.ups.2.1.block2.proj.bias', 'unet.ups.2.1.block2.norm.weight', 'unet.ups.2.1.block2.norm.bias', 'unet.ups.2.1.res_conv.weight', 'unet.ups.2.1.res_conv.bias', 'unet.ups.2.2.fn.fn.to_qkv.weight', 'unet.ups.2.2.fn.fn.to_out.0.weight', 'unet.ups.2.2.fn.fn.to_out.0.bias', 'unet.ups.2.2.fn.fn.to_out.1.g', 'unet.ups.2.2.fn.norm.g', 'unet.ups.2.3.weight', 'unet.ups.2.3.bias', 'unet.mid_block1.mlp.1.weight', 'unet.mid_block1.mlp.1.bias', 'unet.mid_block1.block1.proj.weight', 'unet.mid_block1.block1.proj.bias', 'unet.mid_block1.block1.norm.weight', 'unet.mid_block1.block1.norm.bias', 'unet.mid_block1.block2.proj.weight', 'unet.mid_block1.block2.proj.bias', 'unet.mid_block1.block2.norm.weight', 'unet.mid_block1.block2.norm.bias', 'unet.mid_attn.fn.fn.to_qkv.weight', 'unet.mid_attn.fn.fn.to_out.weight', 'unet.mid_attn.fn.fn.to_out.bias', 'unet.mid_attn.fn.norm.g', 'unet.mid_block2.mlp.1.weight', 'unet.mid_block2.mlp.1.bias', 'unet.mid_block2.block1.proj.weight', 'unet.mid_block2.block1.proj.bias', 'unet.mid_block2.block1.norm.weight', 'unet.mid_block2.block1.norm.bias', 'unet.mid_block2.block2.proj.weight', 'unet.mid_block2.block2.proj.bias', 'unet.mid_block2.block2.norm.weight', 'unet.mid_block2.block2.norm.bias', 'unet.final_res_block.mlp.1.weight', 'unet.final_res_block.mlp.1.bias', 'unet.final_res_block.block1.proj.weight', 'unet.final_res_block.block1.proj.bias', 'unet.final_res_block.block1.norm.weight', 'unet.final_res_block.block1.norm.bias', 'unet.final_res_block.block2.proj.weight', 'unet.final_res_block.block2.proj.bias', 'unet.final_res_block.block2.norm.weight', 'unet.final_res_block.block2.norm.bias', 'unet.final_res_block.res_conv.weight', 'unet.final_res_block.res_conv.bias', 'unet.final_conv.weight', 'unet.final_conv.bias', 'conv_seg_new.weight', 'conv_seg_new.bias'] 2023-03-03 20:50:50,254 - mmseg - INFO - Parameters in decode_head freezed! 2023-03-03 20:50:50,285 - mmseg - INFO - load checkpoint from local path: work_dirs2/deeplabv3plus_r50-d8_aspp_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth 2023-03-03 20:50:51,184 - mmseg - WARNING - The model and loaded state dict do not match exactly unexpected key in source state_dict: decode_head.image_pool.1.conv.weight, decode_head.image_pool.1.bn.weight, decode_head.image_pool.1.bn.bias, 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backbone.layer4.2.bn3.num_batches_tracked missing keys in source state_dict: log_cumprod_at, log_cumprod_bt 2023-03-03 20:50:51,788 - mmseg - INFO - EncoderDecoderDiffusion( (backbone): ResNetV1cCustomInitWeights( (stem): Sequential( (0): Conv2d(3, 32, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False) (1): SyncBatchNorm(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (2): ReLU(inplace=True) (3): Conv2d(32, 32, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (4): SyncBatchNorm(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (5): ReLU(inplace=True) (6): Conv2d(32, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (7): SyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (8): ReLU(inplace=True) ) (maxpool): MaxPool2d(kernel_size=3, stride=2, padding=1, dilation=1, ceil_mode=False) (layer1): ResLayer( (0): Bottleneck( (conv1): Conv2d(64, 64, kernel_size=(1, 1), stride=(1, 1), bias=False) (bn1): SyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (bn2): SyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (conv3): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) (bn3): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (downsample): Sequential( (0): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) (1): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (1): Bottleneck( (conv1): Conv2d(256, 64, kernel_size=(1, 1), stride=(1, 1), bias=False) (bn1): SyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (bn2): SyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (conv3): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) (bn3): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) ) (2): Bottleneck( (conv1): Conv2d(256, 64, kernel_size=(1, 1), stride=(1, 1), bias=False) (bn1): SyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (bn2): SyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (conv3): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) (bn3): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) ) ) (layer2): ResLayer( (0): Bottleneck( (conv1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1), bias=False) (bn1): SyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False) (bn2): SyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (conv3): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False) (bn3): SyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (downsample): Sequential( (0): Conv2d(256, 512, kernel_size=(1, 1), stride=(2, 2), bias=False) (1): SyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (1): Bottleneck( (conv1): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False) (bn1): SyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (bn2): SyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (conv3): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False) (bn3): SyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) ) (2): Bottleneck( (conv1): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False) (bn1): SyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (bn2): SyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (conv3): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False) (bn3): SyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) ) (3): Bottleneck( (conv1): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False) (bn1): SyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (bn2): SyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (conv3): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False) (bn3): SyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) ) ) (layer3): ResLayer( (0): Bottleneck( (conv1): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) (bn1): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (bn2): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False) (bn3): SyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (downsample): Sequential( (0): Conv2d(512, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False) (1): SyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (1): Bottleneck( (conv1): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) (bn1): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(2, 2), dilation=(2, 2), bias=False) (bn2): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False) (bn3): SyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) ) (2): Bottleneck( (conv1): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) (bn1): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(2, 2), dilation=(2, 2), bias=False) (bn2): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False) (bn3): SyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) ) (3): Bottleneck( (conv1): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) (bn1): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(2, 2), dilation=(2, 2), bias=False) (bn2): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False) (bn3): SyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) ) (4): Bottleneck( (conv1): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) (bn1): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(2, 2), dilation=(2, 2), bias=False) (bn2): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False) (bn3): SyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) ) (5): Bottleneck( (conv1): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) (bn1): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(2, 2), dilation=(2, 2), bias=False) (bn2): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False) (bn3): SyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) ) ) (layer4): ResLayer( (0): Bottleneck( (conv1): Conv2d(1024, 512, kernel_size=(1, 1), stride=(1, 1), bias=False) (bn1): SyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (conv2): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(2, 2), dilation=(2, 2), bias=False) (bn2): SyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (conv3): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False) (bn3): SyncBatchNorm(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) (downsample): Sequential( (0): Conv2d(1024, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False) (1): SyncBatchNorm(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) ) (1): Bottleneck( (conv1): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1), bias=False) (bn1): SyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (conv2): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(4, 4), dilation=(4, 4), bias=False) (bn2): SyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (conv3): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False) (bn3): SyncBatchNorm(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) ) (2): Bottleneck( (conv1): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1), bias=False) (bn1): SyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (conv2): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(4, 4), dilation=(4, 4), bias=False) (bn2): SyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (conv3): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False) (bn3): SyncBatchNorm(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (relu): ReLU(inplace=True) ) ) ) init_cfg={'type': 'Pretrained', 'checkpoint': 'work_dirs2/deeplabv3plus_r50-d8_aspp_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth'} (decode_head): DepthwiseSeparableASPPHeadUnetFCHeadMultiStep( input_transform=None, ignore_index=0, align_corners=False (loss_decode): CrossEntropyLoss(avg_non_ignore=False) (conv_seg): None (dropout): Dropout2d(p=0.1, inplace=False) (image_pool): Sequential( (0): AdaptiveAvgPool2d(output_size=1) (1): ConvModule( (conv): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1), bias=False) (bn): SyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (activate): ReLU(inplace=True) ) ) (aspp_modules): DepthwiseSeparableASPPModule( (0): ConvModule( (conv): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1), bias=False) (bn): SyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (activate): ReLU(inplace=True) ) (1): DepthwiseSeparableConvModule( (depthwise_conv): ConvModule( (conv): Conv2d(2048, 2048, kernel_size=(3, 3), stride=(1, 1), padding=(12, 12), dilation=(12, 12), groups=2048, bias=False) (bn): SyncBatchNorm(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (activate): ReLU(inplace=True) ) (pointwise_conv): ConvModule( (conv): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1), bias=False) (bn): SyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (activate): ReLU(inplace=True) ) ) (2): DepthwiseSeparableConvModule( (depthwise_conv): ConvModule( (conv): Conv2d(2048, 2048, kernel_size=(3, 3), stride=(1, 1), padding=(24, 24), dilation=(24, 24), groups=2048, bias=False) (bn): SyncBatchNorm(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (activate): ReLU(inplace=True) ) (pointwise_conv): ConvModule( (conv): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1), bias=False) (bn): SyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (activate): ReLU(inplace=True) ) ) (3): DepthwiseSeparableConvModule( (depthwise_conv): ConvModule( (conv): Conv2d(2048, 2048, kernel_size=(3, 3), stride=(1, 1), padding=(36, 36), dilation=(36, 36), groups=2048, bias=False) (bn): SyncBatchNorm(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (activate): ReLU(inplace=True) ) (pointwise_conv): ConvModule( (conv): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1), bias=False) (bn): SyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (activate): ReLU(inplace=True) ) ) ) (bottleneck): ConvModule( (conv): Conv2d(2560, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (bn): SyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (activate): ReLU(inplace=True) ) (c1_bottleneck): ConvModule( (conv): Conv2d(256, 48, kernel_size=(1, 1), stride=(1, 1), bias=False) (bn): SyncBatchNorm(48, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (activate): ReLU(inplace=True) ) (sep_bottleneck): Sequential( (0): DepthwiseSeparableConvModule( (depthwise_conv): ConvModule( (conv): Conv2d(560, 560, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=560, bias=False) (bn): SyncBatchNorm(560, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (activate): ReLU(inplace=True) ) (pointwise_conv): ConvModule( (conv): Conv2d(560, 512, kernel_size=(1, 1), stride=(1, 1), bias=False) (bn): SyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (activate): ReLU(inplace=True) ) ) (1): DepthwiseSeparableConvModule( (depthwise_conv): ConvModule( (conv): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=512, bias=False) (bn): SyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (activate): ReLU(inplace=True) ) (pointwise_conv): ConvModule( (conv): Conv2d(512, 512, kernel_size=(1, 1), stride=(1, 1), bias=False) (bn): SyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (activate): ReLU(inplace=True) ) ) ) (unet): Unet( (init_conv): Conv2d(528, 128, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3)) (time_mlp): Sequential( (0): SinusoidalPosEmb() (1): Linear(in_features=128, out_features=512, bias=True) (2): GELU(approximate='none') (3): Linear(in_features=512, out_features=512, bias=True) ) (downs): ModuleList( (0): ModuleList( (0): ResnetBlock( (mlp): Sequential( (0): SiLU() (1): Linear(in_features=512, out_features=256, bias=True) ) (block1): Block( (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (norm): GroupNorm(8, 128, eps=1e-05, affine=True) (act): SiLU() ) (block2): Block( (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (norm): GroupNorm(8, 128, eps=1e-05, affine=True) (act): SiLU() ) (res_conv): Identity() ) (1): ResnetBlock( (mlp): Sequential( (0): SiLU() (1): Linear(in_features=512, out_features=256, bias=True) ) (block1): Block( (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (norm): GroupNorm(8, 128, eps=1e-05, affine=True) (act): SiLU() ) (block2): Block( (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (norm): GroupNorm(8, 128, eps=1e-05, affine=True) (act): SiLU() ) (res_conv): Identity() ) (2): Residual( (fn): PreNorm( (fn): LinearAttention( (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) (to_out): Sequential( (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) (1): LayerNorm() ) ) (norm): LayerNorm() ) ) (3): Conv2d(128, 128, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1)) ) (1): ModuleList( (0): ResnetBlock( (mlp): Sequential( (0): SiLU() (1): Linear(in_features=512, out_features=256, bias=True) ) (block1): Block( (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (norm): GroupNorm(8, 128, eps=1e-05, affine=True) (act): SiLU() ) (block2): Block( (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (norm): GroupNorm(8, 128, eps=1e-05, affine=True) (act): SiLU() ) (res_conv): Identity() ) (1): ResnetBlock( (mlp): Sequential( (0): SiLU() (1): Linear(in_features=512, out_features=256, bias=True) ) (block1): Block( (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (norm): GroupNorm(8, 128, eps=1e-05, affine=True) (act): SiLU() ) (block2): Block( (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (norm): GroupNorm(8, 128, eps=1e-05, affine=True) (act): SiLU() ) (res_conv): Identity() ) (2): Residual( (fn): PreNorm( (fn): LinearAttention( (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) (to_out): Sequential( (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) (1): LayerNorm() ) ) (norm): LayerNorm() ) ) (3): Conv2d(128, 128, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1)) ) (2): ModuleList( (0): ResnetBlock( (mlp): Sequential( (0): SiLU() (1): Linear(in_features=512, out_features=256, bias=True) ) (block1): Block( (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (norm): GroupNorm(8, 128, eps=1e-05, affine=True) (act): SiLU() ) (block2): Block( (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (norm): GroupNorm(8, 128, eps=1e-05, affine=True) (act): SiLU() ) (res_conv): Identity() ) (1): ResnetBlock( (mlp): Sequential( (0): SiLU() (1): Linear(in_features=512, out_features=256, bias=True) ) (block1): Block( (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (norm): GroupNorm(8, 128, eps=1e-05, affine=True) (act): SiLU() ) (block2): Block( (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (norm): GroupNorm(8, 128, eps=1e-05, affine=True) (act): SiLU() ) (res_conv): Identity() ) (2): Residual( (fn): PreNorm( (fn): LinearAttention( (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) (to_out): Sequential( (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) (1): LayerNorm() ) ) (norm): LayerNorm() ) ) (3): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) ) ) (ups): ModuleList( (0): ModuleList( (0): ResnetBlock( (mlp): Sequential( (0): SiLU() (1): Linear(in_features=512, out_features=256, bias=True) ) (block1): Block( (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (norm): GroupNorm(8, 128, eps=1e-05, affine=True) (act): SiLU() ) (block2): Block( (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (norm): GroupNorm(8, 128, eps=1e-05, affine=True) (act): SiLU() ) (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) ) (1): ResnetBlock( (mlp): Sequential( (0): SiLU() (1): Linear(in_features=512, out_features=256, bias=True) ) (block1): Block( (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (norm): GroupNorm(8, 128, eps=1e-05, affine=True) (act): SiLU() ) (block2): Block( (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (norm): GroupNorm(8, 128, eps=1e-05, affine=True) (act): SiLU() ) (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) ) (2): Residual( (fn): PreNorm( (fn): LinearAttention( (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) (to_out): Sequential( (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) (1): LayerNorm() ) ) (norm): LayerNorm() ) ) (3): Sequential( (0): Upsample(scale_factor=2.0, mode=nearest) (1): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) ) ) (1): ModuleList( (0): ResnetBlock( (mlp): Sequential( (0): SiLU() (1): Linear(in_features=512, out_features=256, bias=True) ) (block1): Block( (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (norm): GroupNorm(8, 128, eps=1e-05, affine=True) (act): SiLU() ) (block2): Block( (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (norm): GroupNorm(8, 128, eps=1e-05, affine=True) (act): SiLU() ) (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) ) (1): ResnetBlock( (mlp): Sequential( (0): SiLU() (1): Linear(in_features=512, out_features=256, bias=True) ) (block1): Block( (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (norm): GroupNorm(8, 128, eps=1e-05, affine=True) (act): SiLU() ) (block2): Block( (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (norm): GroupNorm(8, 128, eps=1e-05, affine=True) (act): SiLU() ) (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) ) (2): Residual( (fn): PreNorm( (fn): LinearAttention( (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) (to_out): Sequential( (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) (1): LayerNorm() ) ) (norm): LayerNorm() ) ) (3): Sequential( (0): Upsample(scale_factor=2.0, mode=nearest) (1): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) ) ) (2): ModuleList( (0): ResnetBlock( (mlp): Sequential( (0): SiLU() (1): Linear(in_features=512, out_features=256, bias=True) ) (block1): Block( (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (norm): GroupNorm(8, 128, eps=1e-05, affine=True) (act): SiLU() ) (block2): Block( (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (norm): GroupNorm(8, 128, eps=1e-05, affine=True) (act): SiLU() ) (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) ) (1): ResnetBlock( (mlp): Sequential( (0): SiLU() (1): Linear(in_features=512, out_features=256, bias=True) ) (block1): Block( (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (norm): GroupNorm(8, 128, eps=1e-05, affine=True) (act): SiLU() ) (block2): Block( (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (norm): GroupNorm(8, 128, eps=1e-05, affine=True) (act): SiLU() ) (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) ) (2): Residual( (fn): PreNorm( (fn): LinearAttention( (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) (to_out): Sequential( (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) (1): LayerNorm() ) ) (norm): LayerNorm() ) ) (3): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) ) ) (mid_block1): ResnetBlock( (mlp): Sequential( (0): SiLU() (1): Linear(in_features=512, out_features=256, bias=True) ) (block1): Block( (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (norm): GroupNorm(8, 128, eps=1e-05, affine=True) (act): SiLU() ) (block2): Block( (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (norm): GroupNorm(8, 128, eps=1e-05, affine=True) (act): SiLU() ) (res_conv): Identity() ) (mid_attn): Residual( (fn): PreNorm( (fn): Attention( (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) (to_out): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) ) (norm): LayerNorm() ) ) (mid_block2): ResnetBlock( (mlp): Sequential( (0): SiLU() (1): Linear(in_features=512, out_features=256, bias=True) ) (block1): Block( (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (norm): GroupNorm(8, 128, eps=1e-05, affine=True) (act): SiLU() ) (block2): Block( (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (norm): GroupNorm(8, 128, eps=1e-05, affine=True) (act): SiLU() ) (res_conv): Identity() ) (final_res_block): ResnetBlock( (mlp): Sequential( (0): SiLU() (1): Linear(in_features=512, out_features=256, bias=True) ) (block1): Block( (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (norm): GroupNorm(8, 128, eps=1e-05, affine=True) (act): SiLU() ) (block2): Block( (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (norm): GroupNorm(8, 128, eps=1e-05, affine=True) (act): SiLU() ) (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) ) (final_conv): Conv2d(128, 256, kernel_size=(1, 1), stride=(1, 1)) ) (conv_seg_new): Conv2d(256, 151, kernel_size=(1, 1), stride=(1, 1)) (embed): Embedding(151, 16) ) init_cfg={'type': 'Pretrained', 'checkpoint': 'work_dirs2/deeplabv3plus_r50-d8_aspp_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151/best_mIoU_iter_64000.pth'} ) 2023-03-03 20:50:52,282 - mmseg - INFO - Loaded 20210 images 2023-03-03 20:50:56,189 - mmseg - INFO - Loaded 2000 images 2023-03-03 20:50:56,191 - mmseg - INFO - Start running, host: laizeqiang@SH-IDC1-10-140-37-154, work_dir: /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune 2023-03-03 20:50:56,191 - mmseg - INFO - Hooks will be executed in the following order: before_run: (VERY_HIGH ) StepLrUpdaterHook (49 ) ConstantMomentumEMAHook (NORMAL ) CheckpointHook (LOW ) DistEvalHookMultiSteps (VERY_LOW ) TextLoggerHook -------------------- before_train_epoch: (VERY_HIGH ) StepLrUpdaterHook (LOW ) IterTimerHook (LOW ) DistEvalHookMultiSteps (VERY_LOW ) TextLoggerHook -------------------- before_train_iter: (VERY_HIGH ) StepLrUpdaterHook (49 ) ConstantMomentumEMAHook (LOW ) IterTimerHook (LOW ) DistEvalHookMultiSteps -------------------- after_train_iter: (ABOVE_NORMAL) OptimizerHook (49 ) ConstantMomentumEMAHook (NORMAL ) CheckpointHook (LOW ) IterTimerHook (LOW ) DistEvalHookMultiSteps (VERY_LOW ) TextLoggerHook -------------------- after_train_epoch: (NORMAL ) CheckpointHook (LOW ) DistEvalHookMultiSteps (VERY_LOW ) TextLoggerHook -------------------- before_val_epoch: (LOW ) IterTimerHook (VERY_LOW ) TextLoggerHook -------------------- before_val_iter: (LOW ) IterTimerHook -------------------- after_val_iter: (LOW ) IterTimerHook -------------------- after_val_epoch: (VERY_LOW ) TextLoggerHook -------------------- after_run: (VERY_LOW ) TextLoggerHook -------------------- 2023-03-03 20:50:56,191 - mmseg - INFO - workflow: [('train', 1)], max: 160000 iters 2023-03-03 20:50:56,221 - mmseg - INFO - Checkpoints will be saved to /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune by HardDiskBackend. 2023-03-03 20:51:20,254 - mmseg - INFO - Swap parameters (before train) before iter [1] 2023-03-03 20:51:54,834 - mmseg - INFO - Iter [50/160000] lr: 7.350e-06, eta: 1 day, 7:01:38, time: 0.698, data_time: 0.013, memory: 38042, decode.loss_ce: 0.2065, decode.acc_seg: 91.8212, loss: 0.2065 2023-03-03 20:52:06,617 - mmseg - INFO - Iter [100/160000] lr: 1.485e-05, eta: 20:44:28, time: 0.236, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2171, decode.acc_seg: 91.4913, loss: 0.2171 2023-03-03 20:52:18,433 - mmseg - INFO - Iter [150/160000] lr: 2.235e-05, eta: 17:19:13, time: 0.236, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2129, decode.acc_seg: 91.5790, loss: 0.2129 2023-03-03 20:52:30,227 - mmseg - INFO - Iter [200/160000] lr: 2.985e-05, eta: 15:36:15, time: 0.236, data_time: 0.006, memory: 38042, decode.loss_ce: 0.2186, decode.acc_seg: 91.4267, loss: 0.2186 2023-03-03 20:52:41,906 - mmseg - INFO - Iter [250/160000] lr: 3.735e-05, eta: 14:33:08, time: 0.234, data_time: 0.006, memory: 38042, decode.loss_ce: 0.2067, decode.acc_seg: 91.7343, loss: 0.2067 2023-03-03 20:52:53,463 - mmseg - INFO - Iter [300/160000] lr: 4.485e-05, eta: 13:49:55, time: 0.231, data_time: 0.006, memory: 38042, decode.loss_ce: 0.2185, decode.acc_seg: 91.2975, loss: 0.2185 2023-03-03 20:53:05,012 - mmseg - INFO - Iter [350/160000] lr: 5.235e-05, eta: 13:18:55, time: 0.231, data_time: 0.006, memory: 38042, decode.loss_ce: 0.2118, decode.acc_seg: 91.4698, loss: 0.2118 2023-03-03 20:53:16,636 - mmseg - INFO - Iter [400/160000] lr: 5.985e-05, eta: 12:56:09, time: 0.233, data_time: 0.006, memory: 38042, decode.loss_ce: 0.2257, decode.acc_seg: 91.0003, loss: 0.2257 2023-03-03 20:53:28,122 - mmseg - INFO - Iter [450/160000] lr: 6.735e-05, eta: 12:37:34, time: 0.230, data_time: 0.006, memory: 38042, decode.loss_ce: 0.2252, decode.acc_seg: 91.1172, loss: 0.2252 2023-03-03 20:53:39,690 - mmseg - INFO - Iter [500/160000] lr: 7.485e-05, eta: 12:23:05, time: 0.231, data_time: 0.006, memory: 38042, decode.loss_ce: 0.2159, decode.acc_seg: 91.3655, loss: 0.2159 2023-03-03 20:53:51,124 - mmseg - INFO - Iter [550/160000] lr: 8.235e-05, eta: 12:10:34, time: 0.229, data_time: 0.006, memory: 38042, decode.loss_ce: 0.2166, decode.acc_seg: 91.2250, loss: 0.2166 2023-03-03 20:54:02,857 - mmseg - INFO - Iter [600/160000] lr: 8.985e-05, eta: 12:01:26, time: 0.235, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2205, decode.acc_seg: 91.1660, loss: 0.2205 2023-03-03 20:54:16,872 - mmseg - INFO - Iter [650/160000] lr: 9.735e-05, eta: 12:02:59, time: 0.280, data_time: 0.052, memory: 38042, decode.loss_ce: 0.2289, decode.acc_seg: 90.9805, loss: 0.2289 2023-03-03 20:54:28,558 - mmseg - INFO - Iter [700/160000] lr: 1.049e-04, eta: 11:55:27, time: 0.234, data_time: 0.006, memory: 38042, decode.loss_ce: 0.2217, decode.acc_seg: 91.2450, loss: 0.2217 2023-03-03 20:54:40,316 - mmseg - INFO - Iter [750/160000] lr: 1.124e-04, eta: 11:49:10, time: 0.235, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2204, decode.acc_seg: 91.3485, loss: 0.2204 2023-03-03 20:54:51,912 - mmseg - INFO - Iter [800/160000] lr: 1.199e-04, eta: 11:43:05, time: 0.232, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2244, decode.acc_seg: 91.0358, loss: 0.2244 2023-03-03 20:55:03,735 - mmseg - INFO - Iter [850/160000] lr: 1.274e-04, eta: 11:38:25, time: 0.236, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2314, decode.acc_seg: 90.8387, loss: 0.2314 2023-03-03 20:55:15,304 - mmseg - INFO - Iter [900/160000] lr: 1.349e-04, eta: 11:33:29, time: 0.231, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2266, decode.acc_seg: 90.8733, loss: 0.2266 2023-03-03 20:55:26,795 - mmseg - INFO - Iter [950/160000] lr: 1.424e-04, eta: 11:28:51, time: 0.230, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2218, decode.acc_seg: 91.1657, loss: 0.2218 2023-03-03 20:55:38,239 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-03 20:55:38,239 - mmseg - INFO - Iter [1000/160000] lr: 1.499e-04, eta: 11:24:31, time: 0.229, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2194, decode.acc_seg: 91.3142, loss: 0.2194 2023-03-03 20:55:49,824 - mmseg - INFO - Iter [1050/160000] lr: 1.500e-04, eta: 11:20:57, time: 0.232, data_time: 0.006, memory: 38042, decode.loss_ce: 0.2301, decode.acc_seg: 90.8521, loss: 0.2301 2023-03-03 20:56:01,557 - mmseg - INFO - Iter [1100/160000] lr: 1.500e-04, eta: 11:18:02, time: 0.235, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2314, decode.acc_seg: 90.8335, loss: 0.2314 2023-03-03 20:56:13,326 - mmseg - INFO - Iter [1150/160000] lr: 1.500e-04, eta: 11:15:27, time: 0.235, data_time: 0.006, memory: 38042, decode.loss_ce: 0.2315, decode.acc_seg: 90.7784, loss: 0.2315 2023-03-03 20:56:32,625 - mmseg - INFO - Iter [1200/160000] lr: 1.500e-04, eta: 11:29:40, time: 0.386, data_time: 0.006, memory: 38042, decode.loss_ce: 0.2298, decode.acc_seg: 90.9831, loss: 0.2298 2023-03-03 20:56:44,193 - mmseg - INFO - Iter [1250/160000] lr: 1.500e-04, eta: 11:26:21, time: 0.231, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2271, decode.acc_seg: 91.0366, loss: 0.2271 2023-03-03 20:56:58,220 - mmseg - INFO - Iter [1300/160000] lr: 1.500e-04, eta: 11:28:17, time: 0.281, data_time: 0.053, memory: 38042, decode.loss_ce: 0.2278, decode.acc_seg: 91.0521, loss: 0.2278 2023-03-03 20:57:09,842 - mmseg - INFO - Iter [1350/160000] lr: 1.500e-04, eta: 11:25:21, time: 0.232, data_time: 0.006, memory: 38042, decode.loss_ce: 0.2199, decode.acc_seg: 91.3830, loss: 0.2199 2023-03-03 20:57:21,416 - mmseg - INFO - Iter [1400/160000] lr: 1.500e-04, eta: 11:22:31, time: 0.231, data_time: 0.006, memory: 38042, decode.loss_ce: 0.2289, decode.acc_seg: 90.9370, loss: 0.2289 2023-03-03 20:57:32,948 - mmseg - INFO - Iter [1450/160000] lr: 1.500e-04, eta: 11:19:47, time: 0.231, data_time: 0.006, memory: 38042, decode.loss_ce: 0.2221, decode.acc_seg: 91.2795, loss: 0.2221 2023-03-03 20:57:44,594 - mmseg - INFO - Iter [1500/160000] lr: 1.500e-04, eta: 11:17:26, time: 0.233, data_time: 0.006, memory: 38042, decode.loss_ce: 0.2348, decode.acc_seg: 90.8075, loss: 0.2348 2023-03-03 20:57:56,343 - mmseg - INFO - Iter [1550/160000] lr: 1.500e-04, eta: 11:15:23, time: 0.235, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2330, decode.acc_seg: 90.8012, loss: 0.2330 2023-03-03 20:58:08,034 - mmseg - INFO - Iter [1600/160000] lr: 1.500e-04, eta: 11:13:20, time: 0.233, data_time: 0.006, memory: 38042, decode.loss_ce: 0.2201, decode.acc_seg: 91.2317, loss: 0.2201 2023-03-03 20:58:19,740 - mmseg - INFO - Iter [1650/160000] lr: 1.500e-04, eta: 11:11:29, time: 0.234, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2353, decode.acc_seg: 90.8664, loss: 0.2353 2023-03-03 20:58:31,618 - mmseg - INFO - Iter [1700/160000] lr: 1.500e-04, eta: 11:09:57, time: 0.238, data_time: 0.006, memory: 38042, decode.loss_ce: 0.2304, decode.acc_seg: 91.0257, loss: 0.2304 2023-03-03 20:58:43,319 - mmseg - INFO - Iter [1750/160000] lr: 1.500e-04, eta: 11:08:15, time: 0.234, data_time: 0.006, memory: 38042, decode.loss_ce: 0.2283, decode.acc_seg: 91.0043, loss: 0.2283 2023-03-03 20:58:54,891 - mmseg - INFO - Iter [1800/160000] lr: 1.500e-04, eta: 11:06:26, time: 0.231, data_time: 0.006, memory: 38042, decode.loss_ce: 0.2292, decode.acc_seg: 90.9602, loss: 0.2292 2023-03-03 20:59:06,433 - mmseg - INFO - Iter [1850/160000] lr: 1.500e-04, eta: 11:04:39, time: 0.231, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2287, decode.acc_seg: 91.0269, loss: 0.2287 2023-03-03 20:59:20,800 - mmseg - INFO - Iter [1900/160000] lr: 1.500e-04, eta: 11:06:53, time: 0.287, data_time: 0.055, memory: 38042, decode.loss_ce: 0.2354, decode.acc_seg: 90.7166, loss: 0.2354 2023-03-03 20:59:32,675 - mmseg - INFO - Iter [1950/160000] lr: 1.500e-04, eta: 11:05:37, time: 0.238, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2378, decode.acc_seg: 90.8221, loss: 0.2378 2023-03-03 20:59:44,373 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-03 20:59:44,374 - mmseg - INFO - Iter [2000/160000] lr: 1.500e-04, eta: 11:04:11, time: 0.234, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2314, decode.acc_seg: 90.8887, loss: 0.2314 2023-03-03 20:59:56,079 - mmseg - INFO - Iter [2050/160000] lr: 1.500e-04, eta: 11:02:48, time: 0.234, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2323, decode.acc_seg: 90.5895, loss: 0.2323 2023-03-03 21:00:07,576 - mmseg - INFO - Iter [2100/160000] lr: 1.500e-04, eta: 11:01:13, time: 0.230, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2333, decode.acc_seg: 90.9047, loss: 0.2333 2023-03-03 21:00:19,062 - mmseg - INFO - Iter [2150/160000] lr: 1.500e-04, eta: 10:59:42, time: 0.230, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2419, decode.acc_seg: 90.5795, loss: 0.2419 2023-03-03 21:00:30,578 - mmseg - INFO - Iter [2200/160000] lr: 1.500e-04, eta: 10:58:16, time: 0.230, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2281, decode.acc_seg: 91.0043, loss: 0.2281 2023-03-03 21:00:42,141 - mmseg - INFO - Iter [2250/160000] lr: 1.500e-04, eta: 10:56:57, time: 0.231, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2280, decode.acc_seg: 90.9430, loss: 0.2280 2023-03-03 21:00:53,724 - mmseg - INFO - Iter [2300/160000] lr: 1.500e-04, eta: 10:55:41, time: 0.231, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2246, decode.acc_seg: 90.9807, loss: 0.2246 2023-03-03 21:01:05,197 - mmseg - INFO - Iter [2350/160000] lr: 1.500e-04, eta: 10:54:22, time: 0.230, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2344, decode.acc_seg: 90.6860, loss: 0.2344 2023-03-03 21:01:16,760 - mmseg - INFO - Iter [2400/160000] lr: 1.500e-04, eta: 10:53:11, time: 0.231, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2386, decode.acc_seg: 90.5721, loss: 0.2386 2023-03-03 21:01:28,272 - mmseg - INFO - Iter [2450/160000] lr: 1.500e-04, eta: 10:51:59, time: 0.230, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2240, decode.acc_seg: 91.0917, loss: 0.2240 2023-03-03 21:01:39,780 - mmseg - INFO - Iter [2500/160000] lr: 1.500e-04, eta: 10:50:49, time: 0.230, data_time: 0.006, memory: 38042, decode.loss_ce: 0.2278, decode.acc_seg: 91.0320, loss: 0.2278 2023-03-03 21:01:53,873 - mmseg - INFO - Iter [2550/160000] lr: 1.500e-04, eta: 10:52:22, time: 0.282, data_time: 0.055, memory: 38042, decode.loss_ce: 0.2276, decode.acc_seg: 90.9515, loss: 0.2276 2023-03-03 21:02:05,457 - mmseg - INFO - Iter [2600/160000] lr: 1.500e-04, eta: 10:51:19, time: 0.232, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2359, decode.acc_seg: 90.7640, loss: 0.2359 2023-03-03 21:02:17,099 - mmseg - INFO - Iter [2650/160000] lr: 1.500e-04, eta: 10:50:20, time: 0.233, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2358, decode.acc_seg: 90.7325, loss: 0.2358 2023-03-03 21:02:28,550 - mmseg - INFO - Iter [2700/160000] lr: 1.500e-04, eta: 10:49:13, time: 0.229, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2379, decode.acc_seg: 90.7138, loss: 0.2379 2023-03-03 21:02:40,080 - mmseg - INFO - Iter [2750/160000] lr: 1.500e-04, eta: 10:48:11, time: 0.231, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2208, decode.acc_seg: 91.4469, loss: 0.2208 2023-03-03 21:02:51,579 - mmseg - INFO - Iter [2800/160000] lr: 1.500e-04, eta: 10:47:10, time: 0.230, data_time: 0.006, memory: 38042, decode.loss_ce: 0.2277, decode.acc_seg: 90.9864, loss: 0.2277 2023-03-03 21:03:03,228 - mmseg - INFO - Iter [2850/160000] lr: 1.500e-04, eta: 10:46:19, time: 0.233, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2253, decode.acc_seg: 90.9951, loss: 0.2253 2023-03-03 21:03:15,090 - mmseg - INFO - Iter [2900/160000] lr: 1.500e-04, eta: 10:45:41, time: 0.237, data_time: 0.006, memory: 38042, decode.loss_ce: 0.2354, decode.acc_seg: 90.7554, loss: 0.2354 2023-03-03 21:03:26,578 - mmseg - INFO - Iter [2950/160000] lr: 1.500e-04, eta: 10:44:44, time: 0.230, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2356, decode.acc_seg: 90.8363, loss: 0.2356 2023-03-03 21:03:38,079 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-03 21:03:38,079 - mmseg - INFO - Iter [3000/160000] lr: 1.500e-04, eta: 10:43:48, time: 0.230, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2286, decode.acc_seg: 90.8695, loss: 0.2286 2023-03-03 21:03:49,727 - mmseg - INFO - Iter [3050/160000] lr: 1.500e-04, eta: 10:43:03, time: 0.233, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2380, decode.acc_seg: 90.6445, loss: 0.2380 2023-03-03 21:04:01,433 - mmseg - INFO - Iter [3100/160000] lr: 1.500e-04, eta: 10:42:21, time: 0.234, data_time: 0.006, memory: 38042, decode.loss_ce: 0.2325, decode.acc_seg: 90.8852, loss: 0.2325 2023-03-03 21:04:13,035 - mmseg - INFO - Iter [3150/160000] lr: 1.500e-04, eta: 10:41:35, time: 0.232, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2351, decode.acc_seg: 90.5494, loss: 0.2351 2023-03-03 21:04:27,115 - mmseg - INFO - Iter [3200/160000] lr: 1.500e-04, eta: 10:42:51, time: 0.282, data_time: 0.054, memory: 38042, decode.loss_ce: 0.2277, decode.acc_seg: 91.1092, loss: 0.2277 2023-03-03 21:04:38,567 - mmseg - INFO - Iter [3250/160000] lr: 1.500e-04, eta: 10:41:58, time: 0.229, data_time: 0.006, memory: 38042, decode.loss_ce: 0.2286, decode.acc_seg: 90.9816, loss: 0.2286 2023-03-03 21:04:50,355 - mmseg - INFO - Iter [3300/160000] lr: 1.500e-04, eta: 10:41:22, time: 0.236, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2244, decode.acc_seg: 91.1484, loss: 0.2244 2023-03-03 21:05:01,918 - mmseg - INFO - Iter [3350/160000] lr: 1.500e-04, eta: 10:40:36, time: 0.231, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2396, decode.acc_seg: 90.5492, loss: 0.2396 2023-03-03 21:05:13,387 - mmseg - INFO - Iter [3400/160000] lr: 1.500e-04, eta: 10:39:47, time: 0.229, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2326, decode.acc_seg: 90.7134, loss: 0.2326 2023-03-03 21:05:24,862 - mmseg - INFO - Iter [3450/160000] lr: 1.500e-04, eta: 10:38:59, time: 0.230, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2226, decode.acc_seg: 91.1020, loss: 0.2226 2023-03-03 21:05:36,307 - mmseg - INFO - Iter [3500/160000] lr: 1.500e-04, eta: 10:38:11, time: 0.229, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2328, decode.acc_seg: 91.0037, loss: 0.2328 2023-03-03 21:05:47,887 - mmseg - INFO - Iter [3550/160000] lr: 1.500e-04, eta: 10:37:30, time: 0.232, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2350, decode.acc_seg: 90.7744, loss: 0.2350 2023-03-03 21:05:59,516 - mmseg - INFO - Iter [3600/160000] lr: 1.500e-04, eta: 10:36:52, time: 0.233, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2369, decode.acc_seg: 90.6546, loss: 0.2369 2023-03-03 21:06:11,026 - mmseg - INFO - Iter [3650/160000] lr: 1.500e-04, eta: 10:36:10, time: 0.230, data_time: 0.006, memory: 38042, decode.loss_ce: 0.2218, decode.acc_seg: 91.2630, loss: 0.2218 2023-03-03 21:06:22,480 - mmseg - INFO - Iter [3700/160000] lr: 1.500e-04, eta: 10:35:26, time: 0.229, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2272, decode.acc_seg: 91.0902, loss: 0.2272 2023-03-03 21:06:33,932 - mmseg - INFO - Iter [3750/160000] lr: 1.500e-04, eta: 10:34:43, time: 0.229, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2285, decode.acc_seg: 91.1234, loss: 0.2285 2023-03-03 21:06:47,954 - mmseg - INFO - Iter [3800/160000] lr: 1.500e-04, eta: 10:35:46, time: 0.280, data_time: 0.053, memory: 38042, decode.loss_ce: 0.2196, decode.acc_seg: 91.2107, loss: 0.2196 2023-03-03 21:06:59,600 - mmseg - INFO - Iter [3850/160000] lr: 1.500e-04, eta: 10:35:11, time: 0.233, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2385, decode.acc_seg: 90.6002, loss: 0.2385 2023-03-03 21:07:11,287 - mmseg - INFO - Iter [3900/160000] lr: 1.500e-04, eta: 10:34:38, time: 0.234, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2321, decode.acc_seg: 90.8384, loss: 0.2321 2023-03-03 21:07:22,750 - mmseg - INFO - Iter [3950/160000] lr: 1.500e-04, eta: 10:33:57, time: 0.229, data_time: 0.006, memory: 38042, decode.loss_ce: 0.2343, decode.acc_seg: 90.7950, loss: 0.2343 2023-03-03 21:07:34,224 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-03 21:07:34,224 - mmseg - INFO - Iter [4000/160000] lr: 1.500e-04, eta: 10:33:17, time: 0.229, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2415, decode.acc_seg: 90.4259, loss: 0.2415 2023-03-03 21:07:45,892 - mmseg - INFO - Iter [4050/160000] lr: 1.500e-04, eta: 10:32:45, time: 0.233, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2234, decode.acc_seg: 90.9288, loss: 0.2234 2023-03-03 21:07:57,601 - mmseg - INFO - Iter [4100/160000] lr: 1.500e-04, eta: 10:32:15, time: 0.234, data_time: 0.006, memory: 38042, decode.loss_ce: 0.2471, decode.acc_seg: 90.5796, loss: 0.2471 2023-03-03 21:08:09,123 - mmseg - INFO - Iter [4150/160000] lr: 1.500e-04, eta: 10:31:39, time: 0.230, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2228, decode.acc_seg: 91.1857, loss: 0.2228 2023-03-03 21:08:20,575 - mmseg - INFO - Iter [4200/160000] lr: 1.500e-04, eta: 10:31:00, time: 0.229, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2264, decode.acc_seg: 90.9293, loss: 0.2264 2023-03-03 21:08:32,087 - mmseg - INFO - Iter [4250/160000] lr: 1.500e-04, eta: 10:30:25, time: 0.230, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2291, decode.acc_seg: 90.9773, loss: 0.2291 2023-03-03 21:08:43,643 - mmseg - INFO - Iter [4300/160000] lr: 1.500e-04, eta: 10:29:51, time: 0.231, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2306, decode.acc_seg: 90.9854, loss: 0.2306 2023-03-03 21:08:55,246 - mmseg - INFO - Iter [4350/160000] lr: 1.500e-04, eta: 10:29:20, time: 0.232, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2236, decode.acc_seg: 91.1612, loss: 0.2236 2023-03-03 21:09:06,671 - mmseg - INFO - Iter [4400/160000] lr: 1.500e-04, eta: 10:28:43, time: 0.228, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2259, decode.acc_seg: 90.9786, loss: 0.2259 2023-03-03 21:09:20,567 - mmseg - INFO - Iter [4450/160000] lr: 1.500e-04, eta: 10:29:33, time: 0.278, data_time: 0.053, memory: 38042, decode.loss_ce: 0.2273, decode.acc_seg: 91.0579, loss: 0.2273 2023-03-03 21:09:32,003 - mmseg - INFO - Iter [4500/160000] lr: 1.500e-04, eta: 10:28:56, time: 0.229, data_time: 0.006, memory: 38042, decode.loss_ce: 0.2366, decode.acc_seg: 90.6781, loss: 0.2366 2023-03-03 21:09:43,455 - mmseg - INFO - Iter [4550/160000] lr: 1.500e-04, eta: 10:28:21, time: 0.229, data_time: 0.006, memory: 38042, decode.loss_ce: 0.2292, decode.acc_seg: 90.9451, loss: 0.2292 2023-03-03 21:09:54,967 - mmseg - INFO - Iter [4600/160000] lr: 1.500e-04, eta: 10:27:48, time: 0.230, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2297, decode.acc_seg: 90.7955, loss: 0.2297 2023-03-03 21:10:06,479 - mmseg - INFO - Iter [4650/160000] lr: 1.500e-04, eta: 10:27:15, time: 0.230, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2291, decode.acc_seg: 90.8260, loss: 0.2291 2023-03-03 21:10:17,940 - mmseg - INFO - Iter [4700/160000] lr: 1.500e-04, eta: 10:26:42, time: 0.229, data_time: 0.006, memory: 38042, decode.loss_ce: 0.2312, decode.acc_seg: 90.8498, loss: 0.2312 2023-03-03 21:10:29,502 - mmseg - INFO - Iter [4750/160000] lr: 1.500e-04, eta: 10:26:12, time: 0.231, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2323, decode.acc_seg: 91.0001, loss: 0.2323 2023-03-03 21:10:40,993 - mmseg - INFO - Iter [4800/160000] lr: 1.500e-04, eta: 10:25:40, time: 0.230, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2265, decode.acc_seg: 91.0933, loss: 0.2265 2023-03-03 21:10:52,467 - mmseg - INFO - Iter [4850/160000] lr: 1.500e-04, eta: 10:25:08, time: 0.229, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2293, decode.acc_seg: 90.9802, loss: 0.2293 2023-03-03 21:11:03,981 - mmseg - INFO - Iter [4900/160000] lr: 1.500e-04, eta: 10:24:38, time: 0.230, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2296, decode.acc_seg: 90.8715, loss: 0.2296 2023-03-03 21:11:15,443 - mmseg - INFO - Iter [4950/160000] lr: 1.500e-04, eta: 10:24:06, time: 0.229, data_time: 0.006, memory: 38042, decode.loss_ce: 0.2409, decode.acc_seg: 90.2955, loss: 0.2409 2023-03-03 21:11:26,909 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-03 21:11:26,909 - mmseg - INFO - Iter [5000/160000] lr: 1.500e-04, eta: 10:23:35, time: 0.229, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2257, decode.acc_seg: 91.1728, loss: 0.2257 2023-03-03 21:11:41,009 - mmseg - INFO - Iter [5050/160000] lr: 1.500e-04, eta: 10:24:26, time: 0.282, data_time: 0.052, memory: 38042, decode.loss_ce: 0.2272, decode.acc_seg: 91.1795, loss: 0.2272 2023-03-03 21:11:52,688 - mmseg - INFO - Iter [5100/160000] lr: 1.500e-04, eta: 10:24:01, time: 0.234, data_time: 0.006, memory: 38042, decode.loss_ce: 0.2303, decode.acc_seg: 90.9977, loss: 0.2303 2023-03-03 21:12:04,284 - mmseg - INFO - Iter [5150/160000] lr: 1.500e-04, eta: 10:23:34, time: 0.232, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2236, decode.acc_seg: 91.1625, loss: 0.2236 2023-03-03 21:12:15,891 - mmseg - INFO - Iter [5200/160000] lr: 1.500e-04, eta: 10:23:08, time: 0.232, data_time: 0.006, memory: 38042, decode.loss_ce: 0.2286, decode.acc_seg: 90.9177, loss: 0.2286 2023-03-03 21:12:27,534 - mmseg - INFO - Iter [5250/160000] lr: 1.500e-04, eta: 10:22:43, time: 0.233, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2318, decode.acc_seg: 90.8201, loss: 0.2318 2023-03-03 21:12:39,074 - mmseg - INFO - Iter [5300/160000] lr: 1.500e-04, eta: 10:22:16, time: 0.231, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2310, decode.acc_seg: 90.8258, loss: 0.2310 2023-03-03 21:12:50,623 - mmseg - INFO - Iter [5350/160000] lr: 1.500e-04, eta: 10:21:48, time: 0.231, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2311, decode.acc_seg: 90.9494, loss: 0.2311 2023-03-03 21:13:02,171 - mmseg - INFO - Iter [5400/160000] lr: 1.500e-04, eta: 10:21:22, time: 0.231, data_time: 0.006, memory: 38042, decode.loss_ce: 0.2249, decode.acc_seg: 91.1022, loss: 0.2249 2023-03-03 21:13:13,785 - mmseg - INFO - Iter [5450/160000] lr: 1.500e-04, eta: 10:20:57, time: 0.232, data_time: 0.006, memory: 38042, decode.loss_ce: 0.2361, decode.acc_seg: 90.6116, loss: 0.2361 2023-03-03 21:13:25,286 - mmseg - INFO - Iter [5500/160000] lr: 1.500e-04, eta: 10:20:29, time: 0.230, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2294, decode.acc_seg: 91.0238, loss: 0.2294 2023-03-03 21:13:36,909 - mmseg - INFO - Iter [5550/160000] lr: 1.500e-04, eta: 10:20:06, time: 0.232, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2421, decode.acc_seg: 90.5589, loss: 0.2421 2023-03-03 21:13:48,386 - mmseg - INFO - Iter [5600/160000] lr: 1.500e-04, eta: 10:19:38, time: 0.230, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2312, decode.acc_seg: 90.9515, loss: 0.2312 2023-03-03 21:13:59,894 - mmseg - INFO - Iter [5650/160000] lr: 1.500e-04, eta: 10:19:11, time: 0.230, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2317, decode.acc_seg: 90.9432, loss: 0.2317 2023-03-03 21:14:14,014 - mmseg - INFO - Iter [5700/160000] lr: 1.500e-04, eta: 10:19:56, time: 0.282, data_time: 0.055, memory: 38042, decode.loss_ce: 0.2251, decode.acc_seg: 90.9431, loss: 0.2251 2023-03-03 21:14:25,602 - mmseg - INFO - Iter [5750/160000] lr: 1.500e-04, eta: 10:19:31, time: 0.232, data_time: 0.006, memory: 38042, decode.loss_ce: 0.2236, decode.acc_seg: 91.2873, loss: 0.2236 2023-03-03 21:14:37,192 - mmseg - INFO - Iter [5800/160000] lr: 1.500e-04, eta: 10:19:07, time: 0.232, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2295, decode.acc_seg: 91.0304, loss: 0.2295 2023-03-03 21:14:48,791 - mmseg - INFO - Iter [5850/160000] lr: 1.500e-04, eta: 10:18:43, time: 0.232, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2297, decode.acc_seg: 90.9369, loss: 0.2297 2023-03-03 21:15:00,517 - mmseg - INFO - Iter [5900/160000] lr: 1.500e-04, eta: 10:18:23, time: 0.235, data_time: 0.006, memory: 38042, decode.loss_ce: 0.2391, decode.acc_seg: 90.5549, loss: 0.2391 2023-03-03 21:15:12,184 - mmseg - INFO - Iter [5950/160000] lr: 1.500e-04, eta: 10:18:01, time: 0.233, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2173, decode.acc_seg: 91.3531, loss: 0.2173 2023-03-03 21:15:23,639 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-03 21:15:23,639 - mmseg - INFO - Iter [6000/160000] lr: 1.500e-04, eta: 10:17:34, time: 0.229, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2324, decode.acc_seg: 90.7416, loss: 0.2324 2023-03-03 21:15:35,189 - mmseg - INFO - Iter [6050/160000] lr: 1.500e-04, eta: 10:17:10, time: 0.231, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2272, decode.acc_seg: 91.0939, loss: 0.2272 2023-03-03 21:15:46,630 - mmseg - INFO - Iter [6100/160000] lr: 1.500e-04, eta: 10:16:43, time: 0.229, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2303, decode.acc_seg: 90.9308, loss: 0.2303 2023-03-03 21:15:58,306 - mmseg - INFO - Iter [6150/160000] lr: 1.500e-04, eta: 10:16:22, time: 0.234, data_time: 0.006, memory: 38042, decode.loss_ce: 0.2330, decode.acc_seg: 90.9244, loss: 0.2330 2023-03-03 21:16:09,971 - mmseg - INFO - Iter [6200/160000] lr: 1.500e-04, eta: 10:16:02, time: 0.233, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2380, decode.acc_seg: 90.6588, loss: 0.2380 2023-03-03 21:16:21,413 - mmseg - INFO - Iter [6250/160000] lr: 1.500e-04, eta: 10:15:35, time: 0.229, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2273, decode.acc_seg: 90.8418, loss: 0.2273 2023-03-03 21:16:32,954 - mmseg - INFO - Iter [6300/160000] lr: 1.500e-04, eta: 10:15:12, time: 0.231, data_time: 0.006, memory: 38042, decode.loss_ce: 0.2216, decode.acc_seg: 91.0953, loss: 0.2216 2023-03-03 21:16:47,047 - mmseg - INFO - Iter [6350/160000] lr: 1.500e-04, eta: 10:15:50, time: 0.282, data_time: 0.055, memory: 38042, decode.loss_ce: 0.2300, decode.acc_seg: 91.0940, loss: 0.2300 2023-03-03 21:16:58,772 - mmseg - INFO - Iter [6400/160000] lr: 1.500e-04, eta: 10:15:31, time: 0.234, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2229, decode.acc_seg: 91.2322, loss: 0.2229 2023-03-03 21:17:10,286 - mmseg - INFO - Iter [6450/160000] lr: 1.500e-04, eta: 10:15:07, time: 0.230, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2249, decode.acc_seg: 91.0958, loss: 0.2249 2023-03-03 21:17:22,010 - mmseg - INFO - Iter [6500/160000] lr: 1.500e-04, eta: 10:14:48, time: 0.234, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2269, decode.acc_seg: 91.0080, loss: 0.2269 2023-03-03 21:17:33,463 - mmseg - INFO - Iter [6550/160000] lr: 1.500e-04, eta: 10:14:23, time: 0.229, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2227, decode.acc_seg: 91.2049, loss: 0.2227 2023-03-03 21:17:45,264 - mmseg - INFO - Iter [6600/160000] lr: 1.500e-04, eta: 10:14:06, time: 0.236, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2275, decode.acc_seg: 90.8391, loss: 0.2275 2023-03-03 21:17:56,958 - mmseg - INFO - Iter [6650/160000] lr: 1.500e-04, eta: 10:13:47, time: 0.234, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2284, decode.acc_seg: 91.0272, loss: 0.2284 2023-03-03 21:18:08,525 - mmseg - INFO - Iter [6700/160000] lr: 1.500e-04, eta: 10:13:25, time: 0.231, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2226, decode.acc_seg: 91.0722, loss: 0.2226 2023-03-03 21:18:20,042 - mmseg - INFO - Iter [6750/160000] lr: 1.500e-04, eta: 10:13:02, time: 0.230, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2254, decode.acc_seg: 90.9410, loss: 0.2254 2023-03-03 21:18:31,492 - mmseg - INFO - Iter [6800/160000] lr: 1.500e-04, eta: 10:12:37, time: 0.229, data_time: 0.006, memory: 38042, decode.loss_ce: 0.2335, decode.acc_seg: 90.5997, loss: 0.2335 2023-03-03 21:18:42,947 - mmseg - INFO - Iter [6850/160000] lr: 1.500e-04, eta: 10:12:13, time: 0.229, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2350, decode.acc_seg: 90.7788, loss: 0.2350 2023-03-03 21:18:54,665 - mmseg - INFO - Iter [6900/160000] lr: 1.500e-04, eta: 10:11:55, time: 0.234, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2305, decode.acc_seg: 90.8607, loss: 0.2305 2023-03-03 21:19:08,751 - mmseg - INFO - Iter [6950/160000] lr: 1.500e-04, eta: 10:12:29, time: 0.282, data_time: 0.054, memory: 38042, decode.loss_ce: 0.2289, decode.acc_seg: 90.7548, loss: 0.2289 2023-03-03 21:19:20,425 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-03 21:19:20,426 - mmseg - INFO - Iter [7000/160000] lr: 1.500e-04, eta: 10:12:10, time: 0.233, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2274, decode.acc_seg: 91.0695, loss: 0.2274 2023-03-03 21:19:31,935 - mmseg - INFO - Iter [7050/160000] lr: 1.500e-04, eta: 10:11:47, time: 0.230, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2313, decode.acc_seg: 90.8433, loss: 0.2313 2023-03-03 21:19:43,591 - mmseg - INFO - Iter [7100/160000] lr: 1.500e-04, eta: 10:11:28, time: 0.233, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2331, decode.acc_seg: 90.7416, loss: 0.2331 2023-03-03 21:19:55,168 - mmseg - INFO - Iter [7150/160000] lr: 1.500e-04, eta: 10:11:07, time: 0.232, data_time: 0.006, memory: 38042, decode.loss_ce: 0.2286, decode.acc_seg: 90.8492, loss: 0.2286 2023-03-03 21:20:06,668 - mmseg - INFO - Iter [7200/160000] lr: 1.500e-04, eta: 10:10:44, time: 0.230, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2350, decode.acc_seg: 90.7212, loss: 0.2350 2023-03-03 21:20:18,220 - mmseg - INFO - Iter [7250/160000] lr: 1.500e-04, eta: 10:10:23, time: 0.231, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2304, decode.acc_seg: 90.9572, loss: 0.2304 2023-03-03 21:20:29,700 - mmseg - INFO - Iter [7300/160000] lr: 1.500e-04, eta: 10:10:00, time: 0.230, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2261, decode.acc_seg: 91.1728, loss: 0.2261 2023-03-03 21:20:41,290 - mmseg - INFO - Iter [7350/160000] lr: 1.500e-04, eta: 10:09:40, time: 0.232, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2326, decode.acc_seg: 90.9241, loss: 0.2326 2023-03-03 21:20:52,925 - mmseg - INFO - Iter [7400/160000] lr: 1.500e-04, eta: 10:09:21, time: 0.233, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2285, decode.acc_seg: 91.0086, loss: 0.2285 2023-03-03 21:21:04,525 - mmseg - INFO - Iter [7450/160000] lr: 1.500e-04, eta: 10:09:01, time: 0.232, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2351, decode.acc_seg: 90.6470, loss: 0.2351 2023-03-03 21:21:16,083 - mmseg - INFO - Iter [7500/160000] lr: 1.500e-04, eta: 10:08:41, time: 0.231, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2282, decode.acc_seg: 91.0780, loss: 0.2282 2023-03-03 21:21:27,929 - mmseg - INFO - Iter [7550/160000] lr: 1.500e-04, eta: 10:08:26, time: 0.237, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2288, decode.acc_seg: 90.9100, loss: 0.2288 2023-03-03 21:21:42,128 - mmseg - INFO - Iter [7600/160000] lr: 1.500e-04, eta: 10:08:59, time: 0.284, data_time: 0.055, memory: 38042, decode.loss_ce: 0.2249, decode.acc_seg: 91.1141, loss: 0.2249 2023-03-03 21:21:53,686 - mmseg - INFO - Iter [7650/160000] lr: 1.500e-04, eta: 10:08:38, time: 0.231, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2346, decode.acc_seg: 90.7558, loss: 0.2346 2023-03-03 21:22:05,170 - mmseg - INFO - Iter [7700/160000] lr: 1.500e-04, eta: 10:08:16, time: 0.230, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2340, decode.acc_seg: 90.6649, loss: 0.2340 2023-03-03 21:22:16,808 - mmseg - INFO - Iter [7750/160000] lr: 1.500e-04, eta: 10:07:58, time: 0.233, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2291, decode.acc_seg: 91.0265, loss: 0.2291 2023-03-03 21:22:28,281 - mmseg - INFO - Iter [7800/160000] lr: 1.500e-04, eta: 10:07:36, time: 0.229, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2265, decode.acc_seg: 91.1032, loss: 0.2265 2023-03-03 21:22:39,752 - mmseg - INFO - Iter [7850/160000] lr: 1.500e-04, eta: 10:07:14, time: 0.229, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2334, decode.acc_seg: 90.7561, loss: 0.2334 2023-03-03 21:22:51,214 - mmseg - INFO - Iter [7900/160000] lr: 1.500e-04, eta: 10:06:52, time: 0.229, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2379, decode.acc_seg: 90.6484, loss: 0.2379 2023-03-03 21:23:02,815 - mmseg - INFO - Iter [7950/160000] lr: 1.500e-04, eta: 10:06:33, time: 0.232, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2377, decode.acc_seg: 90.8888, loss: 0.2377 2023-03-03 21:23:14,314 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-03 21:23:14,315 - mmseg - INFO - Iter [8000/160000] lr: 1.500e-04, eta: 10:06:12, time: 0.230, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2291, decode.acc_seg: 91.0144, loss: 0.2291 2023-03-03 21:23:25,908 - mmseg - INFO - Iter [8050/160000] lr: 1.500e-04, eta: 10:05:53, time: 0.232, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2291, decode.acc_seg: 90.9463, loss: 0.2291 2023-03-03 21:23:37,388 - mmseg - INFO - Iter [8100/160000] lr: 1.500e-04, eta: 10:05:32, time: 0.230, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2288, decode.acc_seg: 91.0051, loss: 0.2288 2023-03-03 21:23:48,949 - mmseg - INFO - Iter [8150/160000] lr: 1.500e-04, eta: 10:05:13, time: 0.231, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2218, decode.acc_seg: 91.2772, loss: 0.2218 2023-03-03 21:24:00,471 - mmseg - INFO - Iter [8200/160000] lr: 1.500e-04, eta: 10:04:53, time: 0.230, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2393, decode.acc_seg: 90.5997, loss: 0.2393 2023-03-03 21:24:14,613 - mmseg - INFO - Iter [8250/160000] lr: 1.500e-04, eta: 10:05:21, time: 0.283, data_time: 0.055, memory: 38042, decode.loss_ce: 0.2315, decode.acc_seg: 90.9177, loss: 0.2315 2023-03-03 21:24:26,157 - mmseg - INFO - Iter [8300/160000] lr: 1.500e-04, eta: 10:05:01, time: 0.231, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2347, decode.acc_seg: 90.8125, loss: 0.2347 2023-03-03 21:24:37,815 - mmseg - INFO - Iter [8350/160000] lr: 1.500e-04, eta: 10:04:44, time: 0.233, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2273, decode.acc_seg: 91.0544, loss: 0.2273 2023-03-03 21:24:49,416 - mmseg - INFO - Iter [8400/160000] lr: 1.500e-04, eta: 10:04:25, time: 0.232, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2245, decode.acc_seg: 91.1736, loss: 0.2245 2023-03-03 21:25:01,218 - mmseg - INFO - Iter [8450/160000] lr: 1.500e-04, eta: 10:04:11, time: 0.236, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2346, decode.acc_seg: 90.8819, loss: 0.2346 2023-03-03 21:25:12,679 - mmseg - INFO - Iter [8500/160000] lr: 1.500e-04, eta: 10:03:50, time: 0.229, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2287, decode.acc_seg: 90.8432, loss: 0.2287 2023-03-03 21:25:24,191 - mmseg - INFO - Iter [8550/160000] lr: 1.500e-04, eta: 10:03:30, time: 0.230, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2245, decode.acc_seg: 91.0582, loss: 0.2245 2023-03-03 21:25:35,613 - mmseg - INFO - Iter [8600/160000] lr: 1.500e-04, eta: 10:03:08, time: 0.228, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2229, decode.acc_seg: 91.0625, loss: 0.2229 2023-03-03 21:25:47,113 - mmseg - INFO - Iter [8650/160000] lr: 1.500e-04, eta: 10:02:49, time: 0.230, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2216, decode.acc_seg: 91.1450, loss: 0.2216 2023-03-03 21:25:58,620 - mmseg - INFO - Iter [8700/160000] lr: 1.500e-04, eta: 10:02:29, time: 0.230, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2302, decode.acc_seg: 90.9622, loss: 0.2302 2023-03-03 21:26:10,129 - mmseg - INFO - Iter [8750/160000] lr: 1.500e-04, eta: 10:02:10, time: 0.230, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2325, decode.acc_seg: 90.8584, loss: 0.2325 2023-03-03 21:26:21,566 - mmseg - INFO - Iter [8800/160000] lr: 1.500e-04, eta: 10:01:49, time: 0.229, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2225, decode.acc_seg: 91.1562, loss: 0.2225 2023-03-03 21:26:35,833 - mmseg - INFO - Iter [8850/160000] lr: 1.500e-04, eta: 10:02:17, time: 0.285, data_time: 0.054, memory: 38042, decode.loss_ce: 0.2284, decode.acc_seg: 91.0154, loss: 0.2284 2023-03-03 21:26:47,302 - mmseg - INFO - Iter [8900/160000] lr: 1.500e-04, eta: 10:01:56, time: 0.229, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2215, decode.acc_seg: 91.2004, loss: 0.2215 2023-03-03 21:26:58,780 - mmseg - INFO - Iter [8950/160000] lr: 1.500e-04, eta: 10:01:36, time: 0.230, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2236, decode.acc_seg: 91.0672, loss: 0.2236 2023-03-03 21:27:10,280 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-03 21:27:10,280 - mmseg - INFO - Iter [9000/160000] lr: 1.500e-04, eta: 10:01:17, time: 0.230, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2261, decode.acc_seg: 91.0555, loss: 0.2261 2023-03-03 21:27:21,919 - mmseg - INFO - Iter [9050/160000] lr: 1.500e-04, eta: 10:01:00, time: 0.233, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2328, decode.acc_seg: 90.9285, loss: 0.2328 2023-03-03 21:27:33,454 - mmseg - INFO - Iter [9100/160000] lr: 1.500e-04, eta: 10:00:41, time: 0.231, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2326, decode.acc_seg: 91.0821, loss: 0.2326 2023-03-03 21:27:45,025 - mmseg - INFO - Iter [9150/160000] lr: 1.500e-04, eta: 10:00:23, time: 0.231, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2323, decode.acc_seg: 90.7231, loss: 0.2323 2023-03-03 21:27:56,593 - mmseg - INFO - Iter [9200/160000] lr: 1.500e-04, eta: 10:00:05, time: 0.231, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2243, decode.acc_seg: 91.2519, loss: 0.2243 2023-03-03 21:28:08,116 - mmseg - INFO - Iter [9250/160000] lr: 1.500e-04, eta: 9:59:46, time: 0.230, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2227, decode.acc_seg: 91.2505, loss: 0.2227 2023-03-03 21:28:19,589 - mmseg - INFO - Iter [9300/160000] lr: 1.500e-04, eta: 9:59:27, time: 0.229, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2198, decode.acc_seg: 91.3979, loss: 0.2198 2023-03-03 21:28:30,998 - mmseg - INFO - Iter [9350/160000] lr: 1.500e-04, eta: 9:59:07, time: 0.228, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2343, decode.acc_seg: 90.9481, loss: 0.2343 2023-03-03 21:28:42,399 - mmseg - INFO - Iter [9400/160000] lr: 1.500e-04, eta: 9:58:46, time: 0.228, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2283, decode.acc_seg: 90.9628, loss: 0.2283 2023-03-03 21:28:53,907 - mmseg - INFO - Iter [9450/160000] lr: 1.500e-04, eta: 9:58:28, time: 0.230, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2303, decode.acc_seg: 90.9490, loss: 0.2303 2023-03-03 21:29:08,198 - mmseg - INFO - Iter [9500/160000] lr: 1.500e-04, eta: 9:58:53, time: 0.286, data_time: 0.055, memory: 38042, decode.loss_ce: 0.2245, decode.acc_seg: 91.0729, loss: 0.2245 2023-03-03 21:29:19,626 - mmseg - INFO - Iter [9550/160000] lr: 1.500e-04, eta: 9:58:33, time: 0.229, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2304, decode.acc_seg: 90.7861, loss: 0.2304 2023-03-03 21:29:31,074 - mmseg - INFO - Iter [9600/160000] lr: 1.500e-04, eta: 9:58:13, time: 0.229, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2297, decode.acc_seg: 90.8556, loss: 0.2297 2023-03-03 21:29:42,562 - mmseg - INFO - Iter [9650/160000] lr: 1.500e-04, eta: 9:57:55, time: 0.230, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2145, decode.acc_seg: 91.5010, loss: 0.2145 2023-03-03 21:29:54,316 - mmseg - INFO - Iter [9700/160000] lr: 1.500e-04, eta: 9:57:40, time: 0.235, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2185, decode.acc_seg: 91.2918, loss: 0.2185 2023-03-03 21:30:05,931 - mmseg - INFO - Iter [9750/160000] lr: 1.500e-04, eta: 9:57:23, time: 0.232, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2301, decode.acc_seg: 90.9569, loss: 0.2301 2023-03-03 21:30:17,587 - mmseg - INFO - Iter [9800/160000] lr: 1.500e-04, eta: 9:57:07, time: 0.233, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2297, decode.acc_seg: 90.9153, loss: 0.2297 2023-03-03 21:30:29,076 - mmseg - INFO - Iter [9850/160000] lr: 1.500e-04, eta: 9:56:48, time: 0.230, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2307, decode.acc_seg: 90.9826, loss: 0.2307 2023-03-03 21:30:40,569 - mmseg - INFO - Iter [9900/160000] lr: 1.500e-04, eta: 9:56:30, time: 0.230, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2309, decode.acc_seg: 90.8202, loss: 0.2309 2023-03-03 21:30:52,226 - mmseg - INFO - Iter [9950/160000] lr: 1.500e-04, eta: 9:56:14, time: 0.233, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2321, decode.acc_seg: 90.7930, loss: 0.2321 2023-03-03 21:31:03,840 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-03 21:31:03,840 - mmseg - INFO - Iter [10000/160000] lr: 1.500e-04, eta: 9:55:58, time: 0.232, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2334, decode.acc_seg: 90.8567, loss: 0.2334 2023-03-03 21:31:15,332 - mmseg - INFO - Iter [10050/160000] lr: 1.500e-04, eta: 9:55:39, time: 0.230, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2266, decode.acc_seg: 90.9844, loss: 0.2266 2023-03-03 21:31:29,438 - mmseg - INFO - Iter [10100/160000] lr: 1.500e-04, eta: 9:56:00, time: 0.282, data_time: 0.053, memory: 38042, decode.loss_ce: 0.2299, decode.acc_seg: 90.9121, loss: 0.2299 2023-03-03 21:31:40,934 - mmseg - INFO - Iter [10150/160000] lr: 1.500e-04, eta: 9:55:41, time: 0.230, data_time: 0.006, memory: 38042, decode.loss_ce: 0.2334, decode.acc_seg: 90.8291, loss: 0.2334 2023-03-03 21:31:52,484 - mmseg - INFO - Iter [10200/160000] lr: 1.500e-04, eta: 9:55:24, time: 0.231, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2223, decode.acc_seg: 91.1823, loss: 0.2223 2023-03-03 21:32:04,027 - mmseg - INFO - Iter [10250/160000] lr: 1.500e-04, eta: 9:55:07, time: 0.231, data_time: 0.006, memory: 38042, decode.loss_ce: 0.2232, decode.acc_seg: 91.0914, loss: 0.2232 2023-03-03 21:32:15,647 - mmseg - INFO - Iter [10300/160000] lr: 1.500e-04, eta: 9:54:50, time: 0.232, data_time: 0.006, memory: 38042, decode.loss_ce: 0.2219, decode.acc_seg: 91.0455, loss: 0.2219 2023-03-03 21:32:27,144 - mmseg - INFO - Iter [10350/160000] lr: 1.500e-04, eta: 9:54:32, time: 0.230, data_time: 0.006, memory: 38042, decode.loss_ce: 0.2250, decode.acc_seg: 90.9452, loss: 0.2250 2023-03-03 21:32:38,786 - mmseg - INFO - Iter [10400/160000] lr: 1.500e-04, eta: 9:54:16, time: 0.233, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2309, decode.acc_seg: 90.9723, loss: 0.2309 2023-03-03 21:32:50,238 - mmseg - INFO - Iter [10450/160000] lr: 1.500e-04, eta: 9:53:58, time: 0.229, data_time: 0.006, memory: 38042, decode.loss_ce: 0.2289, decode.acc_seg: 91.1020, loss: 0.2289 2023-03-03 21:33:01,799 - mmseg - INFO - Iter [10500/160000] lr: 1.500e-04, eta: 9:53:41, time: 0.231, data_time: 0.006, memory: 38042, decode.loss_ce: 0.2193, decode.acc_seg: 91.2076, loss: 0.2193 2023-03-03 21:33:13,387 - mmseg - INFO - Iter [10550/160000] lr: 1.500e-04, eta: 9:53:24, time: 0.232, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2266, decode.acc_seg: 90.7075, loss: 0.2266 2023-03-03 21:33:24,873 - mmseg - INFO - Iter [10600/160000] lr: 1.500e-04, eta: 9:53:06, time: 0.230, data_time: 0.006, memory: 38042, decode.loss_ce: 0.2347, decode.acc_seg: 90.6818, loss: 0.2347 2023-03-03 21:33:36,471 - mmseg - INFO - Iter [10650/160000] lr: 1.500e-04, eta: 9:52:50, time: 0.232, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2201, decode.acc_seg: 91.2097, loss: 0.2201 2023-03-03 21:33:47,993 - mmseg - INFO - Iter [10700/160000] lr: 1.500e-04, eta: 9:52:33, time: 0.230, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2221, decode.acc_seg: 91.1479, loss: 0.2221 2023-03-03 21:34:02,154 - mmseg - INFO - Iter [10750/160000] lr: 1.500e-04, eta: 9:52:52, time: 0.283, data_time: 0.056, memory: 38042, decode.loss_ce: 0.2277, decode.acc_seg: 90.9480, loss: 0.2277 2023-03-03 21:34:13,923 - mmseg - INFO - Iter [10800/160000] lr: 1.500e-04, eta: 9:52:38, time: 0.236, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2318, decode.acc_seg: 90.9120, loss: 0.2318 2023-03-03 21:34:25,445 - mmseg - INFO - Iter [10850/160000] lr: 1.500e-04, eta: 9:52:21, time: 0.230, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2242, decode.acc_seg: 91.0906, loss: 0.2242 2023-03-03 21:34:36,866 - mmseg - INFO - Iter [10900/160000] lr: 1.500e-04, eta: 9:52:02, time: 0.228, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2200, decode.acc_seg: 91.0712, loss: 0.2200 2023-03-03 21:34:48,434 - mmseg - INFO - Iter [10950/160000] lr: 1.500e-04, eta: 9:51:46, time: 0.231, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2340, decode.acc_seg: 90.7802, loss: 0.2340 2023-03-03 21:34:59,934 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-03 21:34:59,934 - mmseg - INFO - Iter [11000/160000] lr: 1.500e-04, eta: 9:51:28, time: 0.230, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2270, decode.acc_seg: 90.9312, loss: 0.2270 2023-03-03 21:35:11,438 - mmseg - INFO - Iter [11050/160000] lr: 1.500e-04, eta: 9:51:11, time: 0.230, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2273, decode.acc_seg: 91.0844, loss: 0.2273 2023-03-03 21:35:22,885 - mmseg - INFO - Iter [11100/160000] lr: 1.500e-04, eta: 9:50:53, time: 0.229, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2297, decode.acc_seg: 90.8887, loss: 0.2297 2023-03-03 21:35:34,426 - mmseg - INFO - Iter [11150/160000] lr: 1.500e-04, eta: 9:50:36, time: 0.231, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2345, decode.acc_seg: 90.7539, loss: 0.2345 2023-03-03 21:35:46,326 - mmseg - INFO - Iter [11200/160000] lr: 1.500e-04, eta: 9:50:24, time: 0.238, data_time: 0.006, memory: 38042, decode.loss_ce: 0.2230, decode.acc_seg: 91.0419, loss: 0.2230 2023-03-03 21:35:58,023 - mmseg - INFO - Iter [11250/160000] lr: 1.500e-04, eta: 9:50:09, time: 0.234, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2256, decode.acc_seg: 91.1362, loss: 0.2256 2023-03-03 21:36:09,454 - mmseg - INFO - Iter [11300/160000] lr: 1.500e-04, eta: 9:49:51, time: 0.229, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2289, decode.acc_seg: 90.9857, loss: 0.2289 2023-03-03 21:36:20,913 - mmseg - INFO - Iter [11350/160000] lr: 1.500e-04, eta: 9:49:33, time: 0.229, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2171, decode.acc_seg: 91.3789, loss: 0.2171 2023-03-03 21:36:35,097 - mmseg - INFO - Iter [11400/160000] lr: 1.500e-04, eta: 9:49:51, time: 0.284, data_time: 0.055, memory: 38042, decode.loss_ce: 0.2233, decode.acc_seg: 91.2270, loss: 0.2233 2023-03-03 21:36:46,595 - mmseg - INFO - Iter [11450/160000] lr: 1.500e-04, eta: 9:49:34, time: 0.230, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2213, decode.acc_seg: 91.0709, loss: 0.2213 2023-03-03 21:36:58,282 - mmseg - INFO - Iter [11500/160000] lr: 1.500e-04, eta: 9:49:19, time: 0.234, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2219, decode.acc_seg: 91.0893, loss: 0.2219 2023-03-03 21:37:09,779 - mmseg - INFO - Iter [11550/160000] lr: 1.500e-04, eta: 9:49:02, time: 0.230, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2222, decode.acc_seg: 91.0955, loss: 0.2222 2023-03-03 21:37:21,430 - mmseg - INFO - Iter [11600/160000] lr: 1.500e-04, eta: 9:48:47, time: 0.233, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2349, decode.acc_seg: 90.9548, loss: 0.2349 2023-03-03 21:37:33,361 - mmseg - INFO - Iter [11650/160000] lr: 1.500e-04, eta: 9:48:35, time: 0.239, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2222, decode.acc_seg: 91.1578, loss: 0.2222 2023-03-03 21:37:44,945 - mmseg - INFO - Iter [11700/160000] lr: 1.500e-04, eta: 9:48:20, time: 0.232, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2216, decode.acc_seg: 91.0587, loss: 0.2216 2023-03-03 21:37:56,646 - mmseg - INFO - Iter [11750/160000] lr: 1.500e-04, eta: 9:48:05, time: 0.234, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2202, decode.acc_seg: 91.3604, loss: 0.2202 2023-03-03 21:38:08,164 - mmseg - INFO - Iter [11800/160000] lr: 1.500e-04, eta: 9:47:48, time: 0.230, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2242, decode.acc_seg: 91.3543, loss: 0.2242 2023-03-03 21:38:19,671 - mmseg - INFO - Iter [11850/160000] lr: 1.500e-04, eta: 9:47:32, time: 0.230, data_time: 0.006, memory: 38042, decode.loss_ce: 0.2335, decode.acc_seg: 90.8756, loss: 0.2335 2023-03-03 21:38:31,173 - mmseg - INFO - Iter [11900/160000] lr: 1.500e-04, eta: 9:47:15, time: 0.230, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2322, decode.acc_seg: 90.8597, loss: 0.2322 2023-03-03 21:38:42,592 - mmseg - INFO - Iter [11950/160000] lr: 1.500e-04, eta: 9:46:57, time: 0.228, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2301, decode.acc_seg: 91.0367, loss: 0.2301 2023-03-03 21:38:56,529 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-03 21:38:56,529 - mmseg - INFO - Iter [12000/160000] lr: 1.500e-04, eta: 9:47:10, time: 0.279, data_time: 0.053, memory: 38042, decode.loss_ce: 0.2252, decode.acc_seg: 90.9512, loss: 0.2252 2023-03-03 21:39:07,988 - mmseg - INFO - Iter [12050/160000] lr: 1.500e-04, eta: 9:46:53, time: 0.229, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2251, decode.acc_seg: 91.2936, loss: 0.2251 2023-03-03 21:39:19,445 - mmseg - INFO - Iter [12100/160000] lr: 1.500e-04, eta: 9:46:36, time: 0.229, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2211, decode.acc_seg: 91.2228, loss: 0.2211 2023-03-03 21:39:30,930 - mmseg - INFO - Iter [12150/160000] lr: 1.500e-04, eta: 9:46:19, time: 0.230, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2262, decode.acc_seg: 90.8756, loss: 0.2262 2023-03-03 21:39:42,470 - mmseg - INFO - Iter [12200/160000] lr: 1.500e-04, eta: 9:46:02, time: 0.231, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2245, decode.acc_seg: 91.2267, loss: 0.2245 2023-03-03 21:39:54,014 - mmseg - INFO - Iter [12250/160000] lr: 1.500e-04, eta: 9:45:46, time: 0.231, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2247, decode.acc_seg: 90.9244, loss: 0.2247 2023-03-03 21:40:05,711 - mmseg - INFO - Iter [12300/160000] lr: 1.500e-04, eta: 9:45:32, time: 0.234, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2253, decode.acc_seg: 91.2292, loss: 0.2253 2023-03-03 21:40:17,300 - mmseg - INFO - Iter [12350/160000] lr: 1.500e-04, eta: 9:45:17, time: 0.232, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2248, decode.acc_seg: 91.2613, loss: 0.2248 2023-03-03 21:40:28,884 - mmseg - INFO - Iter [12400/160000] lr: 1.500e-04, eta: 9:45:01, time: 0.232, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2248, decode.acc_seg: 91.1989, loss: 0.2248 2023-03-03 21:40:40,342 - mmseg - INFO - Iter [12450/160000] lr: 1.500e-04, eta: 9:44:44, time: 0.229, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2187, decode.acc_seg: 91.4199, loss: 0.2187 2023-03-03 21:40:52,151 - mmseg - INFO - Iter [12500/160000] lr: 1.500e-04, eta: 9:44:31, time: 0.236, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2316, decode.acc_seg: 90.8611, loss: 0.2316 2023-03-03 21:41:03,660 - mmseg - INFO - Iter [12550/160000] lr: 1.500e-04, eta: 9:44:15, time: 0.230, data_time: 0.006, memory: 38042, decode.loss_ce: 0.2354, decode.acc_seg: 90.7637, loss: 0.2354 2023-03-03 21:41:15,142 - mmseg - INFO - Iter [12600/160000] lr: 1.500e-04, eta: 9:43:58, time: 0.230, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2335, decode.acc_seg: 90.6978, loss: 0.2335 2023-03-03 21:41:29,245 - mmseg - INFO - Iter [12650/160000] lr: 1.500e-04, eta: 9:44:12, time: 0.282, data_time: 0.057, memory: 38042, decode.loss_ce: 0.2291, decode.acc_seg: 91.0494, loss: 0.2291 2023-03-03 21:41:40,796 - mmseg - INFO - Iter [12700/160000] lr: 1.500e-04, eta: 9:43:56, time: 0.231, data_time: 0.006, memory: 38042, decode.loss_ce: 0.2330, decode.acc_seg: 90.8442, loss: 0.2330 2023-03-03 21:41:52,321 - mmseg - INFO - Iter [12750/160000] lr: 1.500e-04, eta: 9:43:40, time: 0.230, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2226, decode.acc_seg: 91.3604, loss: 0.2226 2023-03-03 21:42:03,889 - mmseg - INFO - Iter [12800/160000] lr: 1.500e-04, eta: 9:43:24, time: 0.231, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2202, decode.acc_seg: 91.1127, loss: 0.2202 2023-03-03 21:42:15,476 - mmseg - INFO - Iter [12850/160000] lr: 1.500e-04, eta: 9:43:09, time: 0.232, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2269, decode.acc_seg: 91.0267, loss: 0.2269 2023-03-03 21:42:27,066 - mmseg - INFO - Iter [12900/160000] lr: 1.500e-04, eta: 9:42:54, time: 0.232, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2191, decode.acc_seg: 91.3232, loss: 0.2191 2023-03-03 21:42:38,640 - mmseg - INFO - Iter [12950/160000] lr: 1.500e-04, eta: 9:42:38, time: 0.231, data_time: 0.006, memory: 38042, decode.loss_ce: 0.2324, decode.acc_seg: 90.8773, loss: 0.2324 2023-03-03 21:42:50,067 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-03 21:42:50,068 - mmseg - INFO - Iter [13000/160000] lr: 1.500e-04, eta: 9:42:21, time: 0.229, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2285, decode.acc_seg: 91.0696, loss: 0.2285 2023-03-03 21:43:01,665 - mmseg - INFO - Iter [13050/160000] lr: 1.500e-04, eta: 9:42:06, time: 0.232, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2216, decode.acc_seg: 91.2443, loss: 0.2216 2023-03-03 21:43:13,087 - mmseg - INFO - Iter [13100/160000] lr: 1.500e-04, eta: 9:41:49, time: 0.228, data_time: 0.006, memory: 38042, decode.loss_ce: 0.2324, decode.acc_seg: 90.7907, loss: 0.2324 2023-03-03 21:43:24,522 - mmseg - INFO - Iter [13150/160000] lr: 1.500e-04, eta: 9:41:32, time: 0.229, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2286, decode.acc_seg: 90.9649, loss: 0.2286 2023-03-03 21:43:36,046 - mmseg - INFO - Iter [13200/160000] lr: 1.500e-04, eta: 9:41:16, time: 0.230, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2298, decode.acc_seg: 90.8525, loss: 0.2298 2023-03-03 21:43:47,610 - mmseg - INFO - Iter [13250/160000] lr: 1.500e-04, eta: 9:41:01, time: 0.231, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2251, decode.acc_seg: 91.1833, loss: 0.2251 2023-03-03 21:44:01,771 - mmseg - INFO - Iter [13300/160000] lr: 1.500e-04, eta: 9:41:14, time: 0.283, data_time: 0.054, memory: 38042, decode.loss_ce: 0.2294, decode.acc_seg: 91.1213, loss: 0.2294 2023-03-03 21:44:13,502 - mmseg - INFO - Iter [13350/160000] lr: 1.500e-04, eta: 9:41:01, time: 0.235, data_time: 0.006, memory: 38042, decode.loss_ce: 0.2247, decode.acc_seg: 91.1512, loss: 0.2247 2023-03-03 21:44:25,088 - mmseg - INFO - Iter [13400/160000] lr: 1.500e-04, eta: 9:40:45, time: 0.232, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2349, decode.acc_seg: 90.8338, loss: 0.2349 2023-03-03 21:44:36,958 - mmseg - INFO - Iter [13450/160000] lr: 1.500e-04, eta: 9:40:33, time: 0.237, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2377, decode.acc_seg: 90.6476, loss: 0.2377 2023-03-03 21:44:48,400 - mmseg - INFO - Iter [13500/160000] lr: 1.500e-04, eta: 9:40:17, time: 0.229, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2350, decode.acc_seg: 90.8676, loss: 0.2350 2023-03-03 21:44:59,886 - mmseg - INFO - Iter [13550/160000] lr: 1.500e-04, eta: 9:40:01, time: 0.230, data_time: 0.006, memory: 38042, decode.loss_ce: 0.2326, decode.acc_seg: 90.7769, loss: 0.2326 2023-03-03 21:45:11,489 - mmseg - INFO - Iter [13600/160000] lr: 1.500e-04, eta: 9:39:46, time: 0.232, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2252, decode.acc_seg: 91.0109, loss: 0.2252 2023-03-03 21:45:23,003 - mmseg - INFO - Iter [13650/160000] lr: 1.500e-04, eta: 9:39:30, time: 0.230, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2186, decode.acc_seg: 91.5255, loss: 0.2186 2023-03-03 21:45:34,469 - mmseg - INFO - Iter [13700/160000] lr: 1.500e-04, eta: 9:39:14, time: 0.229, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2186, decode.acc_seg: 91.3375, loss: 0.2186 2023-03-03 21:45:46,163 - mmseg - INFO - Iter [13750/160000] lr: 1.500e-04, eta: 9:39:00, time: 0.234, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2230, decode.acc_seg: 91.2144, loss: 0.2230 2023-03-03 21:45:57,684 - mmseg - INFO - Iter [13800/160000] lr: 1.500e-04, eta: 9:38:44, time: 0.230, data_time: 0.006, memory: 38042, decode.loss_ce: 0.2265, decode.acc_seg: 91.1109, loss: 0.2265 2023-03-03 21:46:09,135 - mmseg - INFO - Iter [13850/160000] lr: 1.500e-04, eta: 9:38:28, time: 0.229, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2296, decode.acc_seg: 90.9162, loss: 0.2296 2023-03-03 21:46:23,172 - mmseg - INFO - Iter [13900/160000] lr: 1.500e-04, eta: 9:38:39, time: 0.281, data_time: 0.056, memory: 38042, decode.loss_ce: 0.2291, decode.acc_seg: 90.8859, loss: 0.2291 2023-03-03 21:46:34,620 - mmseg - INFO - Iter [13950/160000] lr: 1.500e-04, eta: 9:38:22, time: 0.229, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2253, decode.acc_seg: 91.0796, loss: 0.2253 2023-03-03 21:46:46,224 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-03 21:46:46,224 - mmseg - INFO - Iter [14000/160000] lr: 1.500e-04, eta: 9:38:07, time: 0.232, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2182, decode.acc_seg: 91.4060, loss: 0.2182 2023-03-03 21:46:57,788 - mmseg - INFO - Iter [14050/160000] lr: 1.500e-04, eta: 9:37:52, time: 0.231, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2202, decode.acc_seg: 91.3217, loss: 0.2202 2023-03-03 21:47:09,259 - mmseg - INFO - Iter [14100/160000] lr: 1.500e-04, eta: 9:37:36, time: 0.229, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2257, decode.acc_seg: 91.0056, loss: 0.2257 2023-03-03 21:47:20,973 - mmseg - INFO - Iter [14150/160000] lr: 1.500e-04, eta: 9:37:23, time: 0.234, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2337, decode.acc_seg: 90.8928, loss: 0.2337 2023-03-03 21:47:32,520 - mmseg - INFO - Iter [14200/160000] lr: 1.500e-04, eta: 9:37:07, time: 0.231, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2257, decode.acc_seg: 90.9793, loss: 0.2257 2023-03-03 21:47:43,975 - mmseg - INFO - Iter [14250/160000] lr: 1.500e-04, eta: 9:36:51, time: 0.229, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2253, decode.acc_seg: 91.0583, loss: 0.2253 2023-03-03 21:47:55,410 - mmseg - INFO - Iter [14300/160000] lr: 1.500e-04, eta: 9:36:35, time: 0.229, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2287, decode.acc_seg: 91.0851, loss: 0.2287 2023-03-03 21:48:06,992 - mmseg - INFO - Iter [14350/160000] lr: 1.500e-04, eta: 9:36:20, time: 0.232, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2380, decode.acc_seg: 90.9111, loss: 0.2380 2023-03-03 21:48:18,454 - mmseg - INFO - Iter [14400/160000] lr: 1.500e-04, eta: 9:36:04, time: 0.229, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2260, decode.acc_seg: 91.1359, loss: 0.2260 2023-03-03 21:48:30,019 - mmseg - INFO - Iter [14450/160000] lr: 1.500e-04, eta: 9:35:49, time: 0.231, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2266, decode.acc_seg: 91.2553, loss: 0.2266 2023-03-03 21:48:41,501 - mmseg - INFO - Iter [14500/160000] lr: 1.500e-04, eta: 9:35:33, time: 0.230, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2314, decode.acc_seg: 90.8243, loss: 0.2314 2023-03-03 21:48:55,507 - mmseg - INFO - Iter [14550/160000] lr: 1.500e-04, eta: 9:35:43, time: 0.280, data_time: 0.055, memory: 38042, decode.loss_ce: 0.2091, decode.acc_seg: 91.5579, loss: 0.2091 2023-03-03 21:49:06,977 - mmseg - INFO - Iter [14600/160000] lr: 1.500e-04, eta: 9:35:27, time: 0.229, data_time: 0.006, memory: 38042, decode.loss_ce: 0.2151, decode.acc_seg: 91.4612, loss: 0.2151 2023-03-03 21:49:18,486 - mmseg - INFO - Iter [14650/160000] lr: 1.500e-04, eta: 9:35:11, time: 0.230, data_time: 0.006, memory: 38042, decode.loss_ce: 0.2275, decode.acc_seg: 91.1108, loss: 0.2275 2023-03-03 21:49:30,183 - mmseg - INFO - Iter [14700/160000] lr: 1.500e-04, eta: 9:34:58, time: 0.234, data_time: 0.006, memory: 38042, decode.loss_ce: 0.2310, decode.acc_seg: 90.9448, loss: 0.2310 2023-03-03 21:49:41,618 - mmseg - INFO - Iter [14750/160000] lr: 1.500e-04, eta: 9:34:42, time: 0.229, data_time: 0.006, memory: 38042, decode.loss_ce: 0.2240, decode.acc_seg: 91.0211, loss: 0.2240 2023-03-03 21:49:53,089 - mmseg - INFO - Iter [14800/160000] lr: 1.500e-04, eta: 9:34:26, time: 0.229, data_time: 0.006, memory: 38042, decode.loss_ce: 0.2257, decode.acc_seg: 91.1523, loss: 0.2257 2023-03-03 21:50:04,831 - mmseg - INFO - Iter [14850/160000] lr: 1.500e-04, eta: 9:34:13, time: 0.235, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2244, decode.acc_seg: 91.0949, loss: 0.2244 2023-03-03 21:50:16,473 - mmseg - INFO - Iter [14900/160000] lr: 1.500e-04, eta: 9:33:59, time: 0.233, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2281, decode.acc_seg: 90.9943, loss: 0.2281 2023-03-03 21:50:28,012 - mmseg - INFO - Iter [14950/160000] lr: 1.500e-04, eta: 9:33:44, time: 0.231, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2256, decode.acc_seg: 91.1349, loss: 0.2256 2023-03-03 21:50:39,425 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-03 21:50:39,425 - mmseg - INFO - Iter [15000/160000] lr: 1.500e-04, eta: 9:33:27, time: 0.228, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2239, decode.acc_seg: 91.0761, loss: 0.2239 2023-03-03 21:50:50,940 - mmseg - INFO - Iter [15050/160000] lr: 1.500e-04, eta: 9:33:12, time: 0.230, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2247, decode.acc_seg: 91.1770, loss: 0.2247 2023-03-03 21:51:02,537 - mmseg - INFO - Iter [15100/160000] lr: 1.500e-04, eta: 9:32:58, time: 0.232, data_time: 0.006, memory: 38042, decode.loss_ce: 0.2228, decode.acc_seg: 91.1866, loss: 0.2228 2023-03-03 21:51:16,465 - mmseg - INFO - Iter [15150/160000] lr: 1.500e-04, eta: 9:33:06, time: 0.279, data_time: 0.054, memory: 38042, decode.loss_ce: 0.2281, decode.acc_seg: 90.9967, loss: 0.2281 2023-03-03 21:51:27,951 - mmseg - INFO - Iter [15200/160000] lr: 1.500e-04, eta: 9:32:50, time: 0.230, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2181, decode.acc_seg: 91.2725, loss: 0.2181 2023-03-03 21:51:39,394 - mmseg - INFO - Iter [15250/160000] lr: 1.500e-04, eta: 9:32:34, time: 0.229, data_time: 0.006, memory: 38042, decode.loss_ce: 0.2318, decode.acc_seg: 90.7672, loss: 0.2318 2023-03-03 21:51:50,908 - mmseg - INFO - Iter [15300/160000] lr: 1.500e-04, eta: 9:32:19, time: 0.230, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2218, decode.acc_seg: 91.2081, loss: 0.2218 2023-03-03 21:52:02,528 - mmseg - INFO - Iter [15350/160000] lr: 1.500e-04, eta: 9:32:05, time: 0.232, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2155, decode.acc_seg: 91.4535, loss: 0.2155 2023-03-03 21:52:14,199 - mmseg - INFO - Iter [15400/160000] lr: 1.500e-04, eta: 9:31:51, time: 0.233, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2359, decode.acc_seg: 90.8206, loss: 0.2359 2023-03-03 21:52:25,841 - mmseg - INFO - Iter [15450/160000] lr: 1.500e-04, eta: 9:31:37, time: 0.233, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2177, decode.acc_seg: 91.3497, loss: 0.2177 2023-03-03 21:52:37,307 - mmseg - INFO - Iter [15500/160000] lr: 1.500e-04, eta: 9:31:22, time: 0.229, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2252, decode.acc_seg: 91.1407, loss: 0.2252 2023-03-03 21:52:48,867 - mmseg - INFO - Iter [15550/160000] lr: 1.500e-04, eta: 9:31:07, time: 0.231, data_time: 0.006, memory: 38042, decode.loss_ce: 0.2239, decode.acc_seg: 91.2506, loss: 0.2239 2023-03-03 21:53:00,428 - mmseg - INFO - Iter [15600/160000] lr: 1.500e-04, eta: 9:30:52, time: 0.231, data_time: 0.006, memory: 38042, decode.loss_ce: 0.2330, decode.acc_seg: 90.9106, loss: 0.2330 2023-03-03 21:53:11,845 - mmseg - INFO - Iter [15650/160000] lr: 1.500e-04, eta: 9:30:36, time: 0.228, data_time: 0.006, memory: 38042, decode.loss_ce: 0.2270, decode.acc_seg: 91.0580, loss: 0.2270 2023-03-03 21:53:23,249 - mmseg - INFO - Iter [15700/160000] lr: 1.500e-04, eta: 9:30:20, time: 0.228, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2251, decode.acc_seg: 91.1430, loss: 0.2251 2023-03-03 21:53:34,692 - mmseg - INFO - Iter [15750/160000] lr: 1.500e-04, eta: 9:30:05, time: 0.229, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2243, decode.acc_seg: 91.2491, loss: 0.2243 2023-03-03 21:53:48,956 - mmseg - INFO - Iter [15800/160000] lr: 1.500e-04, eta: 9:30:15, time: 0.285, data_time: 0.053, memory: 38042, decode.loss_ce: 0.2174, decode.acc_seg: 91.3825, loss: 0.2174 2023-03-03 21:54:00,736 - mmseg - INFO - Iter [15850/160000] lr: 1.500e-04, eta: 9:30:02, time: 0.236, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2278, decode.acc_seg: 90.8960, loss: 0.2278 2023-03-03 21:54:12,319 - mmseg - INFO - Iter [15900/160000] lr: 1.500e-04, eta: 9:29:48, time: 0.232, data_time: 0.006, memory: 38042, decode.loss_ce: 0.2178, decode.acc_seg: 91.3953, loss: 0.2178 2023-03-03 21:54:23,748 - mmseg - INFO - Iter [15950/160000] lr: 1.500e-04, eta: 9:29:32, time: 0.229, data_time: 0.007, memory: 38042, decode.loss_ce: 0.2156, decode.acc_seg: 91.4913, loss: 0.2156 2023-03-03 21:54:35,298 - mmseg - INFO - Swap parameters (after train) after iter [16000] 2023-03-03 21:54:35,312 - mmseg - INFO - Saving checkpoint at 16000 iterations 2023-03-03 21:54:36,781 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-03 21:54:36,781 - mmseg - INFO - Iter [16000/160000] lr: 1.500e-04, eta: 9:29:30, time: 0.260, data_time: 0.006, memory: 38042, decode.loss_ce: 0.2228, decode.acc_seg: 91.1555, loss: 0.2228 2023-03-03 22:13:23,959 - mmseg - INFO - per class results: 2023-03-03 22:13:23,967 - mmseg - INFO - +---------------------+-------------------------------------------------------------------+ | Class | IoU 0,10,20,30,40,50,60,70,80,90,99 | +---------------------+-------------------------------------------------------------------+ | background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | | wall | 75.83,75.83,75.84,75.84,75.85,75.85,75.86,75.86,75.85,75.84,75.82 | | building | 82.36,82.36,82.36,82.36,82.36,82.35,82.36,82.34,82.32,82.33,82.34 | | sky | 94.14,94.14,94.14,94.14,94.14,94.14,94.14,94.15,94.15,94.15,94.12 | | floor | 78.81,78.83,78.82,78.84,78.84,78.84,78.87,78.87,78.85,78.85,78.83 | | tree | 73.27,73.26,73.25,73.25,73.25,73.24,73.23,73.23,73.21,73.22,73.19 | | ceiling | 82.32,82.32,82.32,82.34,82.34,82.34,82.34,82.35,82.35,82.34,82.3 | | road | 80.85,80.86,80.87,80.89,80.9,80.9,80.91,80.92,80.92,80.91,80.89 | | bed | 87.73,87.72,87.73,87.73,87.73,87.73,87.73,87.73,87.73,87.71,87.73 | | windowpane | 59.72,59.74,59.75,59.74,59.78,59.75,59.78,59.75,59.71,59.71,59.75 | | grass | 65.43,65.42,65.42,65.42,65.41,65.42,65.39,65.42,65.39,65.36,65.42 | | cabinet | 57.94,57.93,57.96,57.9,57.96,57.92,57.9,57.9,57.88,57.89,57.88 | | sidewalk | 64.53,64.51,64.52,64.54,64.54,64.57,64.56,64.6,64.58,64.58,64.47 | | person | 77.85,77.87,77.87,77.86,77.86,77.9,77.86,77.85,77.83,77.81,77.9 | | earth | 32.22,32.22,32.22,32.21,32.22,32.22,32.21,32.16,32.17,32.12,32.14 | | door | 45.95,45.89,45.87,45.83,45.87,45.84,45.85,45.82,45.78,45.77,45.63 | | table | 59.93,59.93,59.98,59.93,59.93,59.93,59.95,59.94,59.93,59.91,59.97 | | mountain | 51.33,51.29,51.32,51.3,51.26,51.25,51.25,51.24,51.19,51.2,51.23 | | plant | 51.22,51.21,51.22,51.17,51.13,51.17,51.1,51.05,50.99,50.93,50.98 | | curtain | 71.19,71.22,71.24,71.28,71.21,71.22,71.23,71.22,71.21,71.21,71.14 | | chair | 54.97,54.95,54.94,54.96,54.95,54.95,54.92,54.9,54.91,54.91,54.92 | | car | 81.32,81.29,81.31,81.33,81.33,81.3,81.29,81.31,81.3,81.31,81.29 | | water | 45.29,45.27,45.26,45.22,45.21,45.18,45.16,45.16,45.11,45.1,45.17 | | painting | 71.35,71.33,71.34,71.31,71.34,71.29,71.22,71.23,71.27,71.23,71.28 | | sofa | 63.0,63.03,63.03,63.04,63.04,63.02,63.09,63.04,63.15,63.11,63.01 | | shelf | 38.51,38.54,38.54,38.59,38.55,38.59,38.64,38.6,38.59,38.66,38.72 | | house | 46.18,46.21,46.23,46.25,46.22,46.22,46.22,46.26,46.28,46.24,46.22 | | sea | 42.93,42.92,42.92,42.87,42.89,42.88,42.89,42.88,42.83,42.85,42.78 | | mirror | 63.43,63.49,63.57,63.58,63.55,63.56,63.55,63.53,63.5,63.47,63.67 | | rug | 55.23,55.33,55.26,55.34,55.35,55.15,55.32,55.52,55.21,55.12,55.7 | | field | 22.88,22.93,23.02,23.08,23.06,23.15,23.2,23.2,23.22,23.26,23.33 | | armchair | 41.31,41.39,41.38,41.32,41.37,41.36,41.42,41.35,41.4,41.4,41.38 | | seat | 58.48,58.52,58.48,58.55,58.49,58.5,58.43,58.43,58.49,58.46,58.46 | | fence | 33.58,33.56,33.54,33.59,33.52,33.63,33.62,33.55,33.51,33.53,33.54 | | desk | 48.86,48.86,48.89,48.84,48.97,49.0,48.9,49.01,49.05,49.0,49.16 | | rock | 29.94,29.96,29.94,29.97,29.92,29.88,29.88,29.95,29.95,29.95,29.82 | | wardrobe | 44.12,44.13,44.18,44.08,44.22,44.13,44.14,44.15,44.14,44.17,44.19 | | lamp | 62.42,62.45,62.43,62.45,62.45,62.46,62.48,62.51,62.42,62.43,62.45 | | bathtub | 73.62,73.5,73.58,73.42,73.43,73.24,73.24,73.22,73.11,73.19,72.94 | | railing | 28.08,28.11,28.02,28.03,28.03,27.98,27.99,28.0,27.94,27.93,27.96 | | cushion | 52.91,52.85,52.91,52.92,52.9,52.89,52.89,52.95,53.07,53.01,52.72 | | base | 20.27,20.21,20.34,20.42,20.45,20.5,20.63,20.6,20.71,20.71,20.6 | | box | 21.98,21.98,21.9,21.93,21.91,21.87,21.76,21.81,21.69,21.74,21.7 | | column | 44.74,44.82,44.77,44.78,44.81,44.86,44.77,44.85,44.74,44.74,44.72 | | signboard | 35.82,35.81,35.83,35.75,35.7,35.71,35.78,35.84,35.87,35.94,35.47 | | chest of drawers | 38.66,38.68,38.79,38.77,38.73,38.78,38.77,38.81,38.79,38.81,38.56 | | counter | 27.37,27.43,27.1,27.08,26.89,27.08,27.1,26.97,26.92,26.9,26.32 | | sand | 32.44,32.4,32.4,32.3,32.31,32.22,32.13,32.04,32.06,32.0,32.04 | | sink | 67.25,67.23,67.23,67.19,67.18,67.13,67.1,67.06,67.07,66.98,67.06 | | skyscraper | 64.14,64.2,64.29,64.26,64.59,64.43,64.43,64.14,64.01,64.07,64.02 | | fireplace | 70.93,70.87,70.9,70.84,70.86,70.84,70.78,70.77,70.78,70.8,70.87 | | refrigerator | 70.89,70.77,70.9,71.05,71.03,70.94,71.16,71.21,71.17,71.26,71.72 | | grandstand | 38.72,38.78,38.72,38.79,38.77,38.81,38.66,38.7,38.6,38.59,38.58 | | path | 15.44,15.42,15.45,15.38,15.44,15.44,15.49,15.5,15.57,15.61,15.44 | | stairs | 29.89,29.95,29.94,29.93,29.94,29.95,29.9,29.97,29.95,29.94,30.0 | | runway | 60.12,60.15,60.16,60.15,60.16,60.13,60.19,60.15,60.18,60.18,60.19 | | case | 45.17,45.15,45.16,45.03,45.11,45.04,45.02,45.03,45.03,45.01,45.03 | | pool table | 91.37,91.35,91.37,91.39,91.37,91.4,91.39,91.39,91.4,91.39,91.39 | | pillow | 54.47,54.43,54.52,54.44,54.46,54.56,54.5,54.48,54.5,54.46,54.53 | | screen door | 68.09,67.88,67.89,68.11,67.74,67.76,67.85,67.82,67.78,67.71,66.98 | | stairway | 31.31,31.33,31.29,31.31,31.25,31.23,31.21,31.14,31.18,31.17,31.1 | | river | 12.28,12.27,12.26,12.24,12.25,12.26,12.24,12.23,12.21,12.21,12.23 | | bridge | 59.71,59.94,59.96,60.01,59.94,60.04,60.04,59.94,59.7,59.55,59.53 | | bookcase | 38.63,38.62,38.8,38.72,38.71,38.83,38.97,39.11,39.17,39.12,38.96 | | blind | 41.09,41.09,41.06,41.01,41.07,40.98,40.9,41.02,40.82,40.8,40.69 | | coffee table | 57.79,57.85,58.05,58.01,58.04,58.2,58.29,58.4,58.47,58.54,58.48 | | toilet | 85.44,85.41,85.42,85.43,85.4,85.45,85.38,85.36,85.35,85.35,85.37 | | flower | 34.35,34.36,34.36,34.35,34.32,34.4,34.38,34.33,34.34,34.36,34.17 | | book | 44.98,44.86,44.88,44.97,44.89,44.87,44.95,44.95,44.85,44.92,44.91 | | hill | 4.91,4.95,4.96,4.98,4.95,4.96,4.92,4.95,4.94,4.92,4.96 | | bench | 36.83,36.88,36.92,36.9,36.92,37.06,37.05,37.23,37.38,37.48,37.37 | | countertop | 55.27,55.24,55.28,54.95,55.28,55.34,55.23,55.32,55.17,55.22,55.28 | | stove | 72.61,72.66,72.71,72.74,72.7,72.65,72.76,72.7,72.69,72.64,72.67 | | palm | 50.11,50.11,50.12,50.07,50.2,50.15,50.16,50.19,50.22,50.25,50.13 | | kitchen island | 46.06,46.25,46.4,46.45,46.48,46.41,46.41,46.39,46.53,46.62,46.54 | | computer | 54.89,54.89,54.91,54.86,54.92,54.88,54.8,54.84,54.85,54.88,54.8 | | swivel chair | 44.58,44.6,44.57,44.54,44.53,44.55,44.46,44.53,44.44,44.43,44.39 | | boat | 50.59,50.51,50.51,50.76,50.7,50.81,50.82,50.85,51.02,51.11,50.83 | | bar | 24.36,24.38,24.41,24.39,24.4,24.43,24.47,24.55,24.6,24.63,24.38 | | arcade machine | 28.15,28.27,28.24,28.3,28.18,28.35,28.44,28.49,28.34,28.36,28.81 | | hovel | 35.22,35.19,35.12,35.28,35.15,34.98,34.99,34.82,34.82,34.69,34.61 | | bus | 78.1,78.04,78.04,78.02,78.04,78.01,78.01,78.03,77.98,78.0,77.99 | | towel | 56.29,56.32,56.36,56.34,56.35,56.31,56.26,56.28,56.47,56.35,56.45 | | light | 53.14,53.05,53.1,53.19,53.12,53.18,53.01,53.12,53.19,53.13,53.01 | | truck | 31.41,31.42,31.54,31.48,31.54,31.34,31.36,31.44,31.42,31.44,31.92 | | tower | 34.32,34.16,34.25,34.23,33.99,33.89,33.9,34.01,33.74,33.78,34.14 | | chandelier | 67.6,67.56,67.57,67.62,67.63,67.61,67.55,67.56,67.63,67.63,67.56 | | awning | 24.63,24.61,24.86,24.78,24.81,25.09,25.3,25.39,25.37,25.8,25.32 | | streetlight | 25.64,25.61,25.65,25.7,25.67,25.74,25.79,25.78,25.78,25.83,25.81 | | booth | 41.0,41.06,40.95,41.01,41.14,41.01,40.82,40.77,40.82,40.68,40.61 | | television receiver | 68.21,68.2,68.25,68.33,68.4,68.39,68.41,68.46,68.56,68.59,68.27 | | airplane | 51.34,51.1,51.11,51.07,51.09,50.89,50.94,50.78,50.82,50.66,50.32 | | dirt track | 3.45,3.44,3.42,3.39,3.42,3.38,3.36,3.38,3.37,3.37,3.37 | | apparel | 28.95,28.93,29.01,28.93,28.97,28.88,28.92,28.73,28.66,28.63,28.59 | | pole | 24.12,24.1,24.05,24.01,23.94,23.93,23.92,23.84,23.88,23.83,23.86 | | land | 0.65,0.65,0.64,0.65,0.66,0.63,0.6,0.6,0.6,0.6,0.67 | | bannister | 10.1,9.98,9.89,9.84,9.91,10.01,9.96,10.03,9.93,10.02,9.8 | | escalator | 21.01,21.08,20.94,21.02,20.93,21.02,20.89,20.92,20.88,20.83,20.95 | | ottoman | 43.66,43.66,43.75,43.69,43.68,43.6,43.62,43.61,43.49,43.49,43.34 | | bottle | 12.94,12.94,12.87,12.8,12.81,12.84,12.71,12.67,12.53,12.48,12.84 | | buffet | 34.81,34.79,34.84,34.79,34.75,34.78,34.81,34.76,34.66,34.62,34.66 | | poster | 25.24,25.27,25.23,25.17,25.17,25.15,25.08,25.03,25.01,24.94,24.95 | | stage | 8.65,8.71,8.71,8.69,8.72,8.75,8.64,8.68,8.61,8.58,8.69 | | van | 40.88,40.73,41.04,40.99,40.87,40.87,40.8,40.84,40.86,40.95,40.81 | | ship | 66.99,67.15,67.03,67.49,67.76,68.12,68.14,68.54,68.61,68.81,69.22 | | fountain | 0.55,0.55,0.55,0.54,0.54,0.55,0.54,0.55,0.55,0.53,0.54 | | conveyer belt | 67.71,67.79,67.85,67.96,67.8,67.7,67.59,67.59,67.64,67.52,67.76 | | canopy | 15.75,15.7,15.66,15.77,15.67,15.62,15.66,15.62,15.61,15.55,15.56 | | washer | 63.52,63.48,63.54,63.48,63.47,63.46,63.45,63.44,63.45,63.49,63.52 | | plaything | 23.25,23.19,23.21,23.03,23.08,23.04,23.16,23.08,22.91,22.82,22.51 | | swimming pool | 29.25,29.2,29.19,29.31,29.25,29.35,29.2,29.35,29.2,29.29,29.37 | | stool | 40.66,40.62,40.7,40.72,40.72,40.67,40.74,40.88,40.89,40.91,40.75 | | barrel | 40.18,40.11,40.03,39.97,39.24,39.36,39.37,39.41,39.43,39.23,38.12 | | basket | 23.03,22.97,22.98,23.02,22.96,23.01,22.9,22.91,22.91,22.85,22.9 | | waterfall | 60.98,61.16,60.86,60.8,60.89,60.8,60.58,60.44,60.62,60.61,60.64 | | tent | 93.84,93.76,93.74,93.85,93.82,93.74,93.7,93.7,93.62,93.63,93.81 | | bag | 8.82,8.9,8.91,8.95,9.0,9.0,9.0,9.01,9.09,9.16,9.14 | | minibike | 50.07,50.03,50.06,50.18,50.31,50.27,50.29,50.24,50.28,50.39,50.43 | | cradle | 76.84,76.87,76.88,76.96,76.9,76.88,76.88,77.0,76.92,76.94,76.85 | | oven | 21.63,21.7,21.63,21.61,21.66,21.71,21.62,21.57,21.63,21.62,21.59 | | ball | 44.86,44.86,44.76,44.71,44.68,44.51,44.5,44.39,44.35,44.3,44.14 | | food | 51.87,51.9,51.91,51.84,51.71,51.72,51.53,51.5,51.47,51.36,51.36 | | step | 4.12,4.1,4.06,4.06,4.15,4.18,4.16,4.2,4.13,4.16,4.35 | | tank | 43.15,43.46,43.34,43.61,43.75,43.81,44.06,43.99,44.05,44.16,44.17 | | trade name | 22.07,22.05,22.02,21.92,22.05,21.87,22.01,22.03,22.05,22.02,21.79 | | microwave | 38.62,38.59,38.57,38.56,38.59,38.6,38.62,38.64,38.55,38.59,38.47 | | pot | 37.54,37.6,37.56,37.59,37.48,37.59,37.53,37.5,37.48,37.48,37.38 | | animal | 50.95,50.87,50.86,50.88,50.91,51.09,50.98,51.13,51.15,51.17,51.08 | | bicycle | 45.21,45.22,45.24,45.26,45.19,45.28,45.28,45.21,45.33,45.38,45.31 | | lake | 61.22,61.19,61.22,61.21,61.25,61.25,61.21,61.31,61.32,61.36,61.39 | | dishwasher | 71.3,71.36,71.46,71.38,71.49,71.6,71.75,71.77,71.98,71.93,72.07 | | screen | 59.72,59.71,59.72,59.81,59.81,59.78,59.86,59.85,59.83,59.78,59.81 | | blanket | 7.78,7.77,7.79,7.83,7.8,7.83,7.84,7.9,7.9,7.9,7.88 | | sculpture | 42.1,42.03,41.7,41.79,41.56,41.49,41.3,41.17,41.06,40.88,40.73 | | hood | 59.43,59.31,59.32,59.26,59.21,59.18,59.07,59.1,59.2,59.06,58.89 | | sconce | 40.75,40.84,40.85,40.76,40.9,40.84,40.83,40.9,40.93,40.91,40.99 | | vase | 32.35,32.31,32.38,32.38,32.37,32.32,32.33,32.3,32.33,32.34,32.34 | | traffic light | 25.77,25.67,25.72,25.68,25.81,25.93,25.87,25.84,25.67,25.77,25.92 | | tray | 4.6,4.7,4.75,4.85,4.9,4.93,5.06,5.12,5.23,5.26,5.34 | | ashcan | 42.93,42.99,43.09,43.07,43.13,43.1,43.05,43.08,43.32,43.24,43.1 | | fan | 57.5,57.38,57.31,57.32,57.24,57.19,57.03,57.14,57.0,56.96,56.96 | | pier | 21.93,22.28,22.06,22.28,22.04,22.16,22.25,22.16,22.24,22.11,22.38 | | crt screen | 3.42,3.49,3.48,3.6,3.58,3.52,3.63,3.48,3.4,3.39,3.77 | | plate | 40.13,40.16,40.19,40.24,40.32,40.21,40.26,40.36,40.09,40.2,40.43 | | monitor | 62.3,62.25,62.1,61.88,61.73,61.69,61.57,61.13,61.12,60.93,61.76 | | bulletin board | 35.33,35.33,35.45,35.51,35.52,35.56,35.62,35.63,35.59,35.74,35.58 | | shower | 0.85,0.87,0.87,0.87,0.89,0.88,0.91,0.96,0.92,0.99,1.01 | | radiator | 41.61,41.64,41.61,41.74,41.72,41.67,41.7,41.68,41.68,41.7,41.77 | | glass | 10.39,10.34,10.28,10.26,10.28,10.25,10.2,10.16,10.16,10.09,10.14 | | clock | 20.03,19.78,19.99,19.75,19.91,19.72,19.67,19.68,19.66,19.55,19.4 | | flag | 38.05,38.03,38.08,38.0,38.07,38.03,37.93,38.02,37.99,38.06,37.84 | +---------------------+-------------------------------------------------------------------+ 2023-03-03 22:13:23,967 - mmseg - INFO - Summary: 2023-03-03 22:13:23,967 - mmseg - INFO - +-------------------------------------------------------------------+ | mIoU 0,10,20,30,40,50,60,70,80,90,99 | +-------------------------------------------------------------------+ | 44.97,44.97,44.97,44.98,44.97,44.97,44.96,44.97,44.95,44.95,44.93 | +-------------------------------------------------------------------+ 2023-03-03 22:13:25,317 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_16000.pth. 2023-03-03 22:13:25,317 - mmseg - INFO - Best mIoU is 0.4493 at 16000 iter. 2023-03-03 22:13:25,318 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-03 22:13:25,318 - mmseg - INFO - Iter(val) [250] mIoU: [0.4497, 0.4497, 0.4497, 0.4498, 0.4497, 0.4497, 0.4496, 0.4497, 0.4495, 0.4495, 0.4493], copy_paste: 44.97,44.97,44.97,44.98,44.97,44.97,44.96,44.97,44.95,44.95,44.93 2023-03-03 22:13:25,324 - mmseg - INFO - Swap parameters (before train) before iter [16001] 2023-03-03 22:13:37,285 - mmseg - INFO - Iter [16050/160000] lr: 1.500e-04, eta: 12:18:01, time: 22.810, data_time: 22.578, memory: 67409, decode.loss_ce: 0.2213, decode.acc_seg: 91.1203, loss: 0.2213 2023-03-03 22:13:49,222 - mmseg - INFO - Iter [16100/160000] lr: 1.500e-04, eta: 12:17:15, time: 0.239, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2295, decode.acc_seg: 90.8815, loss: 0.2295 2023-03-03 22:14:01,064 - mmseg - INFO - Iter [16150/160000] lr: 1.500e-04, eta: 12:16:28, time: 0.237, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2329, decode.acc_seg: 90.8808, loss: 0.2329 2023-03-03 22:14:12,813 - mmseg - INFO - Iter [16200/160000] lr: 1.500e-04, eta: 12:15:41, time: 0.235, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2277, decode.acc_seg: 90.9777, loss: 0.2277 2023-03-03 22:14:24,462 - mmseg - INFO - Iter [16250/160000] lr: 1.500e-04, eta: 12:14:53, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2251, decode.acc_seg: 91.0738, loss: 0.2251 2023-03-03 22:14:36,119 - mmseg - INFO - Iter [16300/160000] lr: 1.500e-04, eta: 12:14:05, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2280, decode.acc_seg: 90.9760, loss: 0.2280 2023-03-03 22:14:47,769 - mmseg - INFO - Iter [16350/160000] lr: 1.500e-04, eta: 12:13:17, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2323, decode.acc_seg: 90.8774, loss: 0.2323 2023-03-03 22:14:59,360 - mmseg - INFO - Iter [16400/160000] lr: 1.500e-04, eta: 12:12:29, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2339, decode.acc_seg: 90.8203, loss: 0.2339 2023-03-03 22:15:13,629 - mmseg - INFO - Iter [16450/160000] lr: 1.500e-04, eta: 12:12:05, time: 0.285, data_time: 0.052, memory: 67409, decode.loss_ce: 0.2320, decode.acc_seg: 90.8883, loss: 0.2320 2023-03-03 22:15:25,224 - mmseg - INFO - Iter [16500/160000] lr: 1.500e-04, eta: 12:11:18, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2214, decode.acc_seg: 91.0879, loss: 0.2214 2023-03-03 22:15:36,740 - mmseg - INFO - Iter [16550/160000] lr: 1.500e-04, eta: 12:10:30, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2185, decode.acc_seg: 91.3331, loss: 0.2185 2023-03-03 22:15:48,316 - mmseg - INFO - Iter [16600/160000] lr: 1.500e-04, eta: 12:09:42, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2296, decode.acc_seg: 90.8847, loss: 0.2296 2023-03-03 22:15:59,876 - mmseg - INFO - Iter [16650/160000] lr: 1.500e-04, eta: 12:08:55, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2310, decode.acc_seg: 91.0382, loss: 0.2310 2023-03-03 22:16:11,379 - mmseg - INFO - Iter [16700/160000] lr: 1.500e-04, eta: 12:08:08, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2249, decode.acc_seg: 91.3193, loss: 0.2249 2023-03-03 22:16:23,050 - mmseg - INFO - Iter [16750/160000] lr: 1.500e-04, eta: 12:07:22, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2187, decode.acc_seg: 91.1857, loss: 0.2187 2023-03-03 22:16:34,654 - mmseg - INFO - Iter [16800/160000] lr: 1.500e-04, eta: 12:06:36, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2223, decode.acc_seg: 91.1642, loss: 0.2223 2023-03-03 22:16:46,273 - mmseg - INFO - Iter [16850/160000] lr: 1.500e-04, eta: 12:05:50, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2184, decode.acc_seg: 91.3832, loss: 0.2184 2023-03-03 22:16:57,784 - mmseg - INFO - Iter [16900/160000] lr: 1.500e-04, eta: 12:05:03, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2247, decode.acc_seg: 91.2926, loss: 0.2247 2023-03-03 22:17:09,345 - mmseg - INFO - Iter [16950/160000] lr: 1.500e-04, eta: 12:04:17, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2300, decode.acc_seg: 90.9921, loss: 0.2300 2023-03-03 22:17:20,850 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-03 22:17:20,850 - mmseg - INFO - Iter [17000/160000] lr: 1.500e-04, eta: 12:03:31, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2154, decode.acc_seg: 91.5605, loss: 0.2154 2023-03-03 22:17:34,982 - mmseg - INFO - Iter [17050/160000] lr: 1.500e-04, eta: 12:03:07, time: 0.283, data_time: 0.055, memory: 67409, decode.loss_ce: 0.2387, decode.acc_seg: 90.7949, loss: 0.2387 2023-03-03 22:17:46,552 - mmseg - INFO - Iter [17100/160000] lr: 1.500e-04, eta: 12:02:22, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2164, decode.acc_seg: 91.4100, loss: 0.2164 2023-03-03 22:17:58,247 - mmseg - INFO - Iter [17150/160000] lr: 1.500e-04, eta: 12:01:38, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2165, decode.acc_seg: 91.3681, loss: 0.2165 2023-03-03 22:18:09,779 - mmseg - INFO - Iter [17200/160000] lr: 1.500e-04, eta: 12:00:53, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2260, decode.acc_seg: 91.0727, loss: 0.2260 2023-03-03 22:18:21,405 - mmseg - INFO - Iter [17250/160000] lr: 1.500e-04, eta: 12:00:08, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2314, decode.acc_seg: 90.7616, loss: 0.2314 2023-03-03 22:18:32,846 - mmseg - INFO - Iter [17300/160000] lr: 1.500e-04, eta: 11:59:23, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2253, decode.acc_seg: 91.0145, loss: 0.2253 2023-03-03 22:18:44,321 - mmseg - INFO - Iter [17350/160000] lr: 1.500e-04, eta: 11:58:38, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2299, decode.acc_seg: 90.9155, loss: 0.2299 2023-03-03 22:18:55,830 - mmseg - INFO - Iter [17400/160000] lr: 1.500e-04, eta: 11:57:53, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2236, decode.acc_seg: 91.2554, loss: 0.2236 2023-03-03 22:19:07,416 - mmseg - INFO - Iter [17450/160000] lr: 1.500e-04, eta: 11:57:09, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2277, decode.acc_seg: 91.1033, loss: 0.2277 2023-03-03 22:19:19,153 - mmseg - INFO - Iter [17500/160000] lr: 1.500e-04, eta: 11:56:27, time: 0.235, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2168, decode.acc_seg: 91.3931, loss: 0.2168 2023-03-03 22:19:30,854 - mmseg - INFO - Iter [17550/160000] lr: 1.500e-04, eta: 11:55:44, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2203, decode.acc_seg: 91.1891, loss: 0.2203 2023-03-03 22:19:42,585 - mmseg - INFO - Iter [17600/160000] lr: 1.500e-04, eta: 11:55:02, time: 0.235, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2245, decode.acc_seg: 91.0872, loss: 0.2245 2023-03-03 22:19:54,222 - mmseg - INFO - Iter [17650/160000] lr: 1.500e-04, eta: 11:54:19, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2284, decode.acc_seg: 90.9281, loss: 0.2284 2023-03-03 22:20:08,585 - mmseg - INFO - Iter [17700/160000] lr: 1.500e-04, eta: 11:53:59, time: 0.287, data_time: 0.054, memory: 67409, decode.loss_ce: 0.2275, decode.acc_seg: 91.0319, loss: 0.2275 2023-03-03 22:20:20,172 - mmseg - INFO - Iter [17750/160000] lr: 1.500e-04, eta: 11:53:16, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2388, decode.acc_seg: 90.5558, loss: 0.2388 2023-03-03 22:20:31,958 - mmseg - INFO - Iter [17800/160000] lr: 1.500e-04, eta: 11:52:35, time: 0.236, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2206, decode.acc_seg: 91.3749, loss: 0.2206 2023-03-03 22:20:43,748 - mmseg - INFO - Iter [17850/160000] lr: 1.500e-04, eta: 11:51:54, time: 0.236, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2256, decode.acc_seg: 91.0554, loss: 0.2256 2023-03-03 22:20:55,232 - mmseg - INFO - Iter [17900/160000] lr: 1.500e-04, eta: 11:51:11, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2166, decode.acc_seg: 91.3059, loss: 0.2166 2023-03-03 22:21:06,807 - mmseg - INFO - Iter [17950/160000] lr: 1.500e-04, eta: 11:50:29, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2270, decode.acc_seg: 90.9652, loss: 0.2270 2023-03-03 22:21:18,307 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-03 22:21:18,307 - mmseg - INFO - Iter [18000/160000] lr: 1.500e-04, eta: 11:49:46, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2216, decode.acc_seg: 91.1604, loss: 0.2216 2023-03-03 22:21:29,816 - mmseg - INFO - Iter [18050/160000] lr: 1.500e-04, eta: 11:49:04, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2274, decode.acc_seg: 91.1269, loss: 0.2274 2023-03-03 22:21:41,315 - mmseg - INFO - Iter [18100/160000] lr: 1.500e-04, eta: 11:48:21, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2342, decode.acc_seg: 90.7974, loss: 0.2342 2023-03-03 22:21:53,164 - mmseg - INFO - Iter [18150/160000] lr: 1.500e-04, eta: 11:47:42, time: 0.237, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2140, decode.acc_seg: 91.5872, loss: 0.2140 2023-03-03 22:22:05,052 - mmseg - INFO - Iter [18200/160000] lr: 1.500e-04, eta: 11:47:03, time: 0.238, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2235, decode.acc_seg: 91.1752, loss: 0.2235 2023-03-03 22:22:16,663 - mmseg - INFO - Iter [18250/160000] lr: 1.500e-04, eta: 11:46:22, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2270, decode.acc_seg: 91.2207, loss: 0.2270 2023-03-03 22:22:30,517 - mmseg - INFO - Iter [18300/160000] lr: 1.500e-04, eta: 11:45:58, time: 0.277, data_time: 0.055, memory: 67409, decode.loss_ce: 0.2243, decode.acc_seg: 91.0763, loss: 0.2243 2023-03-03 22:22:42,219 - mmseg - INFO - Iter [18350/160000] lr: 1.500e-04, eta: 11:45:19, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2225, decode.acc_seg: 91.2281, loss: 0.2225 2023-03-03 22:22:53,844 - mmseg - INFO - Iter [18400/160000] lr: 1.500e-04, eta: 11:44:38, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2117, decode.acc_seg: 91.4875, loss: 0.2117 2023-03-03 22:23:05,419 - mmseg - INFO - Iter [18450/160000] lr: 1.500e-04, eta: 11:43:57, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2277, decode.acc_seg: 90.9261, loss: 0.2277 2023-03-03 22:23:16,901 - mmseg - INFO - Iter [18500/160000] lr: 1.500e-04, eta: 11:43:16, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2328, decode.acc_seg: 90.8440, loss: 0.2328 2023-03-03 22:23:28,635 - mmseg - INFO - Iter [18550/160000] lr: 1.500e-04, eta: 11:42:37, time: 0.235, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2258, decode.acc_seg: 90.8924, loss: 0.2258 2023-03-03 22:23:40,107 - mmseg - INFO - Iter [18600/160000] lr: 1.500e-04, eta: 11:41:56, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2234, decode.acc_seg: 91.1428, loss: 0.2234 2023-03-03 22:23:51,629 - mmseg - INFO - Iter [18650/160000] lr: 1.500e-04, eta: 11:41:16, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2352, decode.acc_seg: 90.9242, loss: 0.2352 2023-03-03 22:24:03,145 - mmseg - INFO - Iter [18700/160000] lr: 1.500e-04, eta: 11:40:35, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2262, decode.acc_seg: 91.0784, loss: 0.2262 2023-03-03 22:24:14,631 - mmseg - INFO - Iter [18750/160000] lr: 1.500e-04, eta: 11:39:55, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2286, decode.acc_seg: 90.9902, loss: 0.2286 2023-03-03 22:24:26,441 - mmseg - INFO - Iter [18800/160000] lr: 1.500e-04, eta: 11:39:17, time: 0.236, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2431, decode.acc_seg: 90.4937, loss: 0.2431 2023-03-03 22:24:38,005 - mmseg - INFO - Iter [18850/160000] lr: 1.500e-04, eta: 11:38:37, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2236, decode.acc_seg: 91.1327, loss: 0.2236 2023-03-03 22:24:49,658 - mmseg - INFO - Iter [18900/160000] lr: 1.500e-04, eta: 11:37:59, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2197, decode.acc_seg: 91.3055, loss: 0.2197 2023-03-03 22:25:03,920 - mmseg - INFO - Iter [18950/160000] lr: 1.500e-04, eta: 11:37:40, time: 0.285, data_time: 0.052, memory: 67409, decode.loss_ce: 0.2208, decode.acc_seg: 91.4075, loss: 0.2208 2023-03-03 22:25:15,649 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-03 22:25:15,649 - mmseg - INFO - Iter [19000/160000] lr: 1.500e-04, eta: 11:37:02, time: 0.235, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2134, decode.acc_seg: 91.6298, loss: 0.2134 2023-03-03 22:25:27,159 - mmseg - INFO - Iter [19050/160000] lr: 1.500e-04, eta: 11:36:22, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2181, decode.acc_seg: 91.1317, loss: 0.2181 2023-03-03 22:25:38,794 - mmseg - INFO - Iter [19100/160000] lr: 1.500e-04, eta: 11:35:44, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2264, decode.acc_seg: 91.0481, loss: 0.2264 2023-03-03 22:25:50,298 - mmseg - INFO - Iter [19150/160000] lr: 1.500e-04, eta: 11:35:05, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2181, decode.acc_seg: 91.4379, loss: 0.2181 2023-03-03 22:26:01,820 - mmseg - INFO - Iter [19200/160000] lr: 1.500e-04, eta: 11:34:26, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2292, decode.acc_seg: 91.1141, loss: 0.2292 2023-03-03 22:26:13,387 - mmseg - INFO - Iter [19250/160000] lr: 1.500e-04, eta: 11:33:48, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2313, decode.acc_seg: 91.0416, loss: 0.2313 2023-03-03 22:26:24,958 - mmseg - INFO - Iter [19300/160000] lr: 1.500e-04, eta: 11:33:09, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2241, decode.acc_seg: 91.0728, loss: 0.2241 2023-03-03 22:26:36,716 - mmseg - INFO - Iter [19350/160000] lr: 1.500e-04, eta: 11:32:33, time: 0.235, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2236, decode.acc_seg: 91.1673, loss: 0.2236 2023-03-03 22:26:48,262 - mmseg - INFO - Iter [19400/160000] lr: 1.500e-04, eta: 11:31:54, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2259, decode.acc_seg: 91.1703, loss: 0.2259 2023-03-03 22:26:59,815 - mmseg - INFO - Iter [19450/160000] lr: 1.500e-04, eta: 11:31:17, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2235, decode.acc_seg: 90.9769, loss: 0.2235 2023-03-03 22:27:11,357 - mmseg - INFO - Iter [19500/160000] lr: 1.500e-04, eta: 11:30:39, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2243, decode.acc_seg: 91.0949, loss: 0.2243 2023-03-03 22:27:22,839 - mmseg - INFO - Iter [19550/160000] lr: 1.500e-04, eta: 11:30:00, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2322, decode.acc_seg: 90.8605, loss: 0.2322 2023-03-03 22:27:36,861 - mmseg - INFO - Iter [19600/160000] lr: 1.500e-04, eta: 11:29:41, time: 0.280, data_time: 0.054, memory: 67409, decode.loss_ce: 0.2266, decode.acc_seg: 91.1810, loss: 0.2266 2023-03-03 22:27:48,296 - mmseg - INFO - Iter [19650/160000] lr: 1.500e-04, eta: 11:29:02, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2235, decode.acc_seg: 91.0194, loss: 0.2235 2023-03-03 22:27:59,947 - mmseg - INFO - Iter [19700/160000] lr: 1.500e-04, eta: 11:28:26, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2208, decode.acc_seg: 91.2442, loss: 0.2208 2023-03-03 22:28:11,450 - mmseg - INFO - Iter [19750/160000] lr: 1.500e-04, eta: 11:27:48, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2190, decode.acc_seg: 91.1500, loss: 0.2190 2023-03-03 22:28:23,023 - mmseg - INFO - Iter [19800/160000] lr: 1.500e-04, eta: 11:27:11, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2160, decode.acc_seg: 91.3606, loss: 0.2160 2023-03-03 22:28:34,630 - mmseg - INFO - Iter [19850/160000] lr: 1.500e-04, eta: 11:26:34, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2261, decode.acc_seg: 91.0415, loss: 0.2261 2023-03-03 22:28:46,158 - mmseg - INFO - Iter [19900/160000] lr: 1.500e-04, eta: 11:25:57, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2208, decode.acc_seg: 91.2365, loss: 0.2208 2023-03-03 22:28:57,898 - mmseg - INFO - Iter [19950/160000] lr: 1.500e-04, eta: 11:25:22, time: 0.235, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2237, decode.acc_seg: 91.2248, loss: 0.2237 2023-03-03 22:29:09,521 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-03 22:29:09,521 - mmseg - INFO - Iter [20000/160000] lr: 1.500e-04, eta: 11:24:46, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2282, decode.acc_seg: 91.0598, loss: 0.2282 2023-03-03 22:29:21,070 - mmseg - INFO - Iter [20050/160000] lr: 7.500e-05, eta: 11:24:09, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2250, decode.acc_seg: 91.1313, loss: 0.2250 2023-03-03 22:29:32,519 - mmseg - INFO - Iter [20100/160000] lr: 7.500e-05, eta: 11:23:32, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2172, decode.acc_seg: 91.3477, loss: 0.2172 2023-03-03 22:29:44,012 - mmseg - INFO - Iter [20150/160000] lr: 7.500e-05, eta: 11:22:56, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2217, decode.acc_seg: 91.3473, loss: 0.2217 2023-03-03 22:29:58,031 - mmseg - INFO - Iter [20200/160000] lr: 7.500e-05, eta: 11:22:37, time: 0.280, data_time: 0.056, memory: 67409, decode.loss_ce: 0.2096, decode.acc_seg: 91.6640, loss: 0.2096 2023-03-03 22:30:09,590 - mmseg - INFO - Iter [20250/160000] lr: 7.500e-05, eta: 11:22:01, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2212, decode.acc_seg: 91.1228, loss: 0.2212 2023-03-03 22:30:21,096 - mmseg - INFO - Iter [20300/160000] lr: 7.500e-05, eta: 11:21:25, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2240, decode.acc_seg: 91.1388, loss: 0.2240 2023-03-03 22:30:32,803 - mmseg - INFO - Iter [20350/160000] lr: 7.500e-05, eta: 11:20:50, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2168, decode.acc_seg: 91.3243, loss: 0.2168 2023-03-03 22:30:44,332 - mmseg - INFO - Iter [20400/160000] lr: 7.500e-05, eta: 11:20:14, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2288, decode.acc_seg: 91.1767, loss: 0.2288 2023-03-03 22:30:55,858 - mmseg - INFO - Iter [20450/160000] lr: 7.500e-05, eta: 11:19:38, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2113, decode.acc_seg: 91.5359, loss: 0.2113 2023-03-03 22:31:07,365 - mmseg - INFO - Iter [20500/160000] lr: 7.500e-05, eta: 11:19:03, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2175, decode.acc_seg: 91.2893, loss: 0.2175 2023-03-03 22:31:18,816 - mmseg - INFO - Iter [20550/160000] lr: 7.500e-05, eta: 11:18:27, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2067, decode.acc_seg: 91.8891, loss: 0.2067 2023-03-03 22:31:30,402 - mmseg - INFO - Iter [20600/160000] lr: 7.500e-05, eta: 11:17:52, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2070, decode.acc_seg: 91.7877, loss: 0.2070 2023-03-03 22:31:41,867 - mmseg - INFO - Iter [20650/160000] lr: 7.500e-05, eta: 11:17:16, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2274, decode.acc_seg: 91.2063, loss: 0.2274 2023-03-03 22:31:53,469 - mmseg - INFO - Iter [20700/160000] lr: 7.500e-05, eta: 11:16:41, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2184, decode.acc_seg: 91.2363, loss: 0.2184 2023-03-03 22:32:04,962 - mmseg - INFO - Iter [20750/160000] lr: 7.500e-05, eta: 11:16:06, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2186, decode.acc_seg: 91.3008, loss: 0.2186 2023-03-03 22:32:16,408 - mmseg - INFO - Iter [20800/160000] lr: 7.500e-05, eta: 11:15:31, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2146, decode.acc_seg: 91.2489, loss: 0.2146 2023-03-03 22:32:30,524 - mmseg - INFO - Iter [20850/160000] lr: 7.500e-05, eta: 11:15:13, time: 0.282, data_time: 0.056, memory: 67409, decode.loss_ce: 0.2133, decode.acc_seg: 91.5243, loss: 0.2133 2023-03-03 22:32:42,100 - mmseg - INFO - Iter [20900/160000] lr: 7.500e-05, eta: 11:14:39, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2158, decode.acc_seg: 91.2792, loss: 0.2158 2023-03-03 22:32:53,617 - mmseg - INFO - Iter [20950/160000] lr: 7.500e-05, eta: 11:14:04, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2106, decode.acc_seg: 91.5499, loss: 0.2106 2023-03-03 22:33:05,063 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-03 22:33:05,063 - mmseg - INFO - Iter [21000/160000] lr: 7.500e-05, eta: 11:13:29, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2180, decode.acc_seg: 91.6146, loss: 0.2180 2023-03-03 22:33:16,627 - mmseg - INFO - Iter [21050/160000] lr: 7.500e-05, eta: 11:12:55, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2188, decode.acc_seg: 91.3737, loss: 0.2188 2023-03-03 22:33:28,347 - mmseg - INFO - Iter [21100/160000] lr: 7.500e-05, eta: 11:12:22, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2145, decode.acc_seg: 91.3438, loss: 0.2145 2023-03-03 22:33:39,943 - mmseg - INFO - Iter [21150/160000] lr: 7.500e-05, eta: 11:11:48, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2178, decode.acc_seg: 91.2678, loss: 0.2178 2023-03-03 22:33:51,436 - mmseg - INFO - Iter [21200/160000] lr: 7.500e-05, eta: 11:11:14, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2142, decode.acc_seg: 91.3191, loss: 0.2142 2023-03-03 22:34:03,061 - mmseg - INFO - Iter [21250/160000] lr: 7.500e-05, eta: 11:10:40, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2178, decode.acc_seg: 91.4063, loss: 0.2178 2023-03-03 22:34:14,656 - mmseg - INFO - Iter [21300/160000] lr: 7.500e-05, eta: 11:10:07, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2100, decode.acc_seg: 91.5454, loss: 0.2100 2023-03-03 22:34:26,504 - mmseg - INFO - Iter [21350/160000] lr: 7.500e-05, eta: 11:09:35, time: 0.237, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2150, decode.acc_seg: 91.3661, loss: 0.2150 2023-03-03 22:34:38,091 - mmseg - INFO - Iter [21400/160000] lr: 7.500e-05, eta: 11:09:02, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2130, decode.acc_seg: 91.3900, loss: 0.2130 2023-03-03 22:34:49,582 - mmseg - INFO - Iter [21450/160000] lr: 7.500e-05, eta: 11:08:28, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2138, decode.acc_seg: 91.3246, loss: 0.2138 2023-03-03 22:35:03,612 - mmseg - INFO - Iter [21500/160000] lr: 7.500e-05, eta: 11:08:11, time: 0.281, data_time: 0.056, memory: 67409, decode.loss_ce: 0.2155, decode.acc_seg: 91.4182, loss: 0.2155 2023-03-03 22:35:15,148 - mmseg - INFO - Iter [21550/160000] lr: 7.500e-05, eta: 11:07:38, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2210, decode.acc_seg: 91.1679, loss: 0.2210 2023-03-03 22:35:26,679 - mmseg - INFO - Iter [21600/160000] lr: 7.500e-05, eta: 11:07:04, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2168, decode.acc_seg: 91.4111, loss: 0.2168 2023-03-03 22:35:38,306 - mmseg - INFO - Iter [21650/160000] lr: 7.500e-05, eta: 11:06:32, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2114, decode.acc_seg: 91.6164, loss: 0.2114 2023-03-03 22:35:49,910 - mmseg - INFO - Iter [21700/160000] lr: 7.500e-05, eta: 11:05:59, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2131, decode.acc_seg: 91.5002, loss: 0.2131 2023-03-03 22:36:01,466 - mmseg - INFO - Iter [21750/160000] lr: 7.500e-05, eta: 11:05:26, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2083, decode.acc_seg: 91.5662, loss: 0.2083 2023-03-03 22:36:12,978 - mmseg - INFO - Iter [21800/160000] lr: 7.500e-05, eta: 11:04:53, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2244, decode.acc_seg: 91.1469, loss: 0.2244 2023-03-03 22:36:24,487 - mmseg - INFO - Iter [21850/160000] lr: 7.500e-05, eta: 11:04:20, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2121, decode.acc_seg: 91.4901, loss: 0.2121 2023-03-03 22:36:35,933 - mmseg - INFO - Iter [21900/160000] lr: 7.500e-05, eta: 11:03:47, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2136, decode.acc_seg: 91.4685, loss: 0.2136 2023-03-03 22:36:47,528 - mmseg - INFO - Iter [21950/160000] lr: 7.500e-05, eta: 11:03:15, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2015, decode.acc_seg: 91.9330, loss: 0.2015 2023-03-03 22:36:59,020 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-03 22:36:59,020 - mmseg - INFO - Iter [22000/160000] lr: 7.500e-05, eta: 11:02:42, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2167, decode.acc_seg: 91.4787, loss: 0.2167 2023-03-03 22:37:10,518 - mmseg - INFO - Iter [22050/160000] lr: 7.500e-05, eta: 11:02:10, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2191, decode.acc_seg: 91.3910, loss: 0.2191 2023-03-03 22:37:24,532 - mmseg - INFO - Iter [22100/160000] lr: 7.500e-05, eta: 11:01:53, time: 0.280, data_time: 0.053, memory: 67409, decode.loss_ce: 0.2222, decode.acc_seg: 91.2924, loss: 0.2222 2023-03-03 22:37:36,283 - mmseg - INFO - Iter [22150/160000] lr: 7.500e-05, eta: 11:01:22, time: 0.235, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2160, decode.acc_seg: 91.3603, loss: 0.2160 2023-03-03 22:37:47,934 - mmseg - INFO - Iter [22200/160000] lr: 7.500e-05, eta: 11:00:50, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2116, decode.acc_seg: 91.5011, loss: 0.2116 2023-03-03 22:37:59,394 - mmseg - INFO - Iter [22250/160000] lr: 7.500e-05, eta: 11:00:18, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2130, decode.acc_seg: 91.5054, loss: 0.2130 2023-03-03 22:38:10,990 - mmseg - INFO - Iter [22300/160000] lr: 7.500e-05, eta: 10:59:46, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2145, decode.acc_seg: 91.2785, loss: 0.2145 2023-03-03 22:38:22,452 - mmseg - INFO - Iter [22350/160000] lr: 7.500e-05, eta: 10:59:14, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2191, decode.acc_seg: 91.3115, loss: 0.2191 2023-03-03 22:38:33,977 - mmseg - INFO - Iter [22400/160000] lr: 7.500e-05, eta: 10:58:42, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2189, decode.acc_seg: 91.2235, loss: 0.2189 2023-03-03 22:38:45,496 - mmseg - INFO - Iter [22450/160000] lr: 7.500e-05, eta: 10:58:10, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2159, decode.acc_seg: 91.4556, loss: 0.2159 2023-03-03 22:38:56,964 - mmseg - INFO - Iter [22500/160000] lr: 7.500e-05, eta: 10:57:38, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2219, decode.acc_seg: 91.2363, loss: 0.2219 2023-03-03 22:39:08,400 - mmseg - INFO - Iter [22550/160000] lr: 7.500e-05, eta: 10:57:06, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2098, decode.acc_seg: 91.5350, loss: 0.2098 2023-03-03 22:39:20,038 - mmseg - INFO - Iter [22600/160000] lr: 7.500e-05, eta: 10:56:36, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2040, decode.acc_seg: 91.8135, loss: 0.2040 2023-03-03 22:39:31,559 - mmseg - INFO - Iter [22650/160000] lr: 7.500e-05, eta: 10:56:04, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2222, decode.acc_seg: 91.2011, loss: 0.2222 2023-03-03 22:39:43,342 - mmseg - INFO - Iter [22700/160000] lr: 7.500e-05, eta: 10:55:34, time: 0.236, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2205, decode.acc_seg: 91.3488, loss: 0.2205 2023-03-03 22:39:57,603 - mmseg - INFO - Iter [22750/160000] lr: 7.500e-05, eta: 10:55:20, time: 0.285, data_time: 0.052, memory: 67409, decode.loss_ce: 0.2145, decode.acc_seg: 91.4775, loss: 0.2145 2023-03-03 22:40:09,346 - mmseg - INFO - Iter [22800/160000] lr: 7.500e-05, eta: 10:54:50, time: 0.235, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2139, decode.acc_seg: 91.5396, loss: 0.2139 2023-03-03 22:40:20,973 - mmseg - INFO - Iter [22850/160000] lr: 7.500e-05, eta: 10:54:19, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2152, decode.acc_seg: 91.3974, loss: 0.2152 2023-03-03 22:40:32,495 - mmseg - INFO - Iter [22900/160000] lr: 7.500e-05, eta: 10:53:48, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2066, decode.acc_seg: 91.6432, loss: 0.2066 2023-03-03 22:40:44,299 - mmseg - INFO - Iter [22950/160000] lr: 7.500e-05, eta: 10:53:19, time: 0.236, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2132, decode.acc_seg: 91.3596, loss: 0.2132 2023-03-03 22:40:56,023 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-03 22:40:56,023 - mmseg - INFO - Iter [23000/160000] lr: 7.500e-05, eta: 10:52:49, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2159, decode.acc_seg: 91.3687, loss: 0.2159 2023-03-03 22:41:07,487 - mmseg - INFO - Iter [23050/160000] lr: 7.500e-05, eta: 10:52:18, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2146, decode.acc_seg: 91.4565, loss: 0.2146 2023-03-03 22:41:19,060 - mmseg - INFO - Iter [23100/160000] lr: 7.500e-05, eta: 10:51:48, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2166, decode.acc_seg: 91.3459, loss: 0.2166 2023-03-03 22:41:30,669 - mmseg - INFO - Iter [23150/160000] lr: 7.500e-05, eta: 10:51:18, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2131, decode.acc_seg: 91.5675, loss: 0.2131 2023-03-03 22:41:42,153 - mmseg - INFO - Iter [23200/160000] lr: 7.500e-05, eta: 10:50:47, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2227, decode.acc_seg: 91.1792, loss: 0.2227 2023-03-03 22:41:53,615 - mmseg - INFO - Iter [23250/160000] lr: 7.500e-05, eta: 10:50:16, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2160, decode.acc_seg: 91.3329, loss: 0.2160 2023-03-03 22:42:05,110 - mmseg - INFO - Iter [23300/160000] lr: 7.500e-05, eta: 10:49:46, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2108, decode.acc_seg: 91.6159, loss: 0.2108 2023-03-03 22:42:19,205 - mmseg - INFO - Iter [23350/160000] lr: 7.500e-05, eta: 10:49:31, time: 0.282, data_time: 0.055, memory: 67409, decode.loss_ce: 0.2129, decode.acc_seg: 91.7381, loss: 0.2129 2023-03-03 22:42:30,844 - mmseg - INFO - Iter [23400/160000] lr: 7.500e-05, eta: 10:49:01, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2203, decode.acc_seg: 91.3376, loss: 0.2203 2023-03-03 22:42:42,401 - mmseg - INFO - Iter [23450/160000] lr: 7.500e-05, eta: 10:48:31, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2153, decode.acc_seg: 91.3245, loss: 0.2153 2023-03-03 22:42:54,151 - mmseg - INFO - Iter [23500/160000] lr: 7.500e-05, eta: 10:48:02, time: 0.235, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2243, decode.acc_seg: 91.1644, loss: 0.2243 2023-03-03 22:43:05,678 - mmseg - INFO - Iter [23550/160000] lr: 7.500e-05, eta: 10:47:32, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2133, decode.acc_seg: 91.5185, loss: 0.2133 2023-03-03 22:43:17,237 - mmseg - INFO - Iter [23600/160000] lr: 7.500e-05, eta: 10:47:03, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2172, decode.acc_seg: 91.3439, loss: 0.2172 2023-03-03 22:43:28,765 - mmseg - INFO - Iter [23650/160000] lr: 7.500e-05, eta: 10:46:33, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2143, decode.acc_seg: 91.5179, loss: 0.2143 2023-03-03 22:43:40,305 - mmseg - INFO - Iter [23700/160000] lr: 7.500e-05, eta: 10:46:03, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2083, decode.acc_seg: 91.6829, loss: 0.2083 2023-03-03 22:43:51,769 - mmseg - INFO - Iter [23750/160000] lr: 7.500e-05, eta: 10:45:33, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2190, decode.acc_seg: 91.4014, loss: 0.2190 2023-03-03 22:44:03,281 - mmseg - INFO - Iter [23800/160000] lr: 7.500e-05, eta: 10:45:03, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2199, decode.acc_seg: 91.3160, loss: 0.2199 2023-03-03 22:44:14,885 - mmseg - INFO - Iter [23850/160000] lr: 7.500e-05, eta: 10:44:34, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2109, decode.acc_seg: 91.5667, loss: 0.2109 2023-03-03 22:44:26,342 - mmseg - INFO - Iter [23900/160000] lr: 7.500e-05, eta: 10:44:04, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2113, decode.acc_seg: 91.3964, loss: 0.2113 2023-03-03 22:44:37,968 - mmseg - INFO - Iter [23950/160000] lr: 7.500e-05, eta: 10:43:36, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2158, decode.acc_seg: 91.4598, loss: 0.2158 2023-03-03 22:44:52,312 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-03 22:44:52,312 - mmseg - INFO - Iter [24000/160000] lr: 7.500e-05, eta: 10:43:22, time: 0.287, data_time: 0.051, memory: 67409, decode.loss_ce: 0.2180, decode.acc_seg: 91.3011, loss: 0.2180 2023-03-03 22:45:03,793 - mmseg - INFO - Iter [24050/160000] lr: 7.500e-05, eta: 10:42:53, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2144, decode.acc_seg: 91.4835, loss: 0.2144 2023-03-03 22:45:15,289 - mmseg - INFO - Iter [24100/160000] lr: 7.500e-05, eta: 10:42:23, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2138, decode.acc_seg: 91.3921, loss: 0.2138 2023-03-03 22:45:27,142 - mmseg - INFO - Iter [24150/160000] lr: 7.500e-05, eta: 10:41:56, time: 0.237, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2157, decode.acc_seg: 91.2164, loss: 0.2157 2023-03-03 22:45:38,600 - mmseg - INFO - Iter [24200/160000] lr: 7.500e-05, eta: 10:41:27, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2152, decode.acc_seg: 91.2589, loss: 0.2152 2023-03-03 22:45:50,035 - mmseg - INFO - Iter [24250/160000] lr: 7.500e-05, eta: 10:40:57, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2182, decode.acc_seg: 91.3033, loss: 0.2182 2023-03-03 22:46:01,542 - mmseg - INFO - Iter [24300/160000] lr: 7.500e-05, eta: 10:40:28, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2161, decode.acc_seg: 91.4188, loss: 0.2161 2023-03-03 22:46:13,078 - mmseg - INFO - Iter [24350/160000] lr: 7.500e-05, eta: 10:39:59, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2214, decode.acc_seg: 91.2820, loss: 0.2214 2023-03-03 22:46:24,623 - mmseg - INFO - Iter [24400/160000] lr: 7.500e-05, eta: 10:39:31, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2052, decode.acc_seg: 91.8259, loss: 0.2052 2023-03-03 22:46:36,305 - mmseg - INFO - Iter [24450/160000] lr: 7.500e-05, eta: 10:39:03, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2062, decode.acc_seg: 91.7271, loss: 0.2062 2023-03-03 22:46:47,810 - mmseg - INFO - Iter [24500/160000] lr: 7.500e-05, eta: 10:38:34, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2091, decode.acc_seg: 91.5744, loss: 0.2091 2023-03-03 22:46:59,311 - mmseg - INFO - Iter [24550/160000] lr: 7.500e-05, eta: 10:38:06, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2116, decode.acc_seg: 91.4042, loss: 0.2116 2023-03-03 22:47:11,066 - mmseg - INFO - Iter [24600/160000] lr: 7.500e-05, eta: 10:37:38, time: 0.235, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2217, decode.acc_seg: 91.2578, loss: 0.2217 2023-03-03 22:47:25,131 - mmseg - INFO - Iter [24650/160000] lr: 7.500e-05, eta: 10:37:24, time: 0.281, data_time: 0.058, memory: 67409, decode.loss_ce: 0.2139, decode.acc_seg: 91.4459, loss: 0.2139 2023-03-03 22:47:36,787 - mmseg - INFO - Iter [24700/160000] lr: 7.500e-05, eta: 10:36:56, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2084, decode.acc_seg: 91.6609, loss: 0.2084 2023-03-03 22:47:48,305 - mmseg - INFO - Iter [24750/160000] lr: 7.500e-05, eta: 10:36:28, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2157, decode.acc_seg: 91.3491, loss: 0.2157 2023-03-03 22:47:59,954 - mmseg - INFO - Iter [24800/160000] lr: 7.500e-05, eta: 10:36:00, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2159, decode.acc_seg: 91.3054, loss: 0.2159 2023-03-03 22:48:11,520 - mmseg - INFO - Iter [24850/160000] lr: 7.500e-05, eta: 10:35:32, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2184, decode.acc_seg: 91.2506, loss: 0.2184 2023-03-03 22:48:22,984 - mmseg - INFO - Iter [24900/160000] lr: 7.500e-05, eta: 10:35:04, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2083, decode.acc_seg: 91.5736, loss: 0.2083 2023-03-03 22:48:34,607 - mmseg - INFO - Iter [24950/160000] lr: 7.500e-05, eta: 10:34:36, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2152, decode.acc_seg: 91.3642, loss: 0.2152 2023-03-03 22:48:46,144 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-03 22:48:46,145 - mmseg - INFO - Iter [25000/160000] lr: 7.500e-05, eta: 10:34:08, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2222, decode.acc_seg: 91.1975, loss: 0.2222 2023-03-03 22:48:57,854 - mmseg - INFO - Iter [25050/160000] lr: 7.500e-05, eta: 10:33:41, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2091, decode.acc_seg: 91.5142, loss: 0.2091 2023-03-03 22:49:09,443 - mmseg - INFO - Iter [25100/160000] lr: 7.500e-05, eta: 10:33:14, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2099, decode.acc_seg: 91.5602, loss: 0.2099 2023-03-03 22:49:21,060 - mmseg - INFO - Iter [25150/160000] lr: 7.500e-05, eta: 10:32:47, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2110, decode.acc_seg: 91.5745, loss: 0.2110 2023-03-03 22:49:32,732 - mmseg - INFO - Iter [25200/160000] lr: 7.500e-05, eta: 10:32:20, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2089, decode.acc_seg: 91.6459, loss: 0.2089 2023-03-03 22:49:46,918 - mmseg - INFO - Iter [25250/160000] lr: 7.500e-05, eta: 10:32:06, time: 0.284, data_time: 0.054, memory: 67409, decode.loss_ce: 0.2228, decode.acc_seg: 91.0669, loss: 0.2228 2023-03-03 22:49:58,459 - mmseg - INFO - Iter [25300/160000] lr: 7.500e-05, eta: 10:31:39, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2137, decode.acc_seg: 91.5731, loss: 0.2137 2023-03-03 22:50:10,272 - mmseg - INFO - Iter [25350/160000] lr: 7.500e-05, eta: 10:31:13, time: 0.236, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2161, decode.acc_seg: 91.4839, loss: 0.2161 2023-03-03 22:50:21,882 - mmseg - INFO - Iter [25400/160000] lr: 7.500e-05, eta: 10:30:46, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2062, decode.acc_seg: 91.7364, loss: 0.2062 2023-03-03 22:50:33,582 - mmseg - INFO - Iter [25450/160000] lr: 7.500e-05, eta: 10:30:19, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2089, decode.acc_seg: 91.5987, loss: 0.2089 2023-03-03 22:50:45,108 - mmseg - INFO - Iter [25500/160000] lr: 7.500e-05, eta: 10:29:52, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2216, decode.acc_seg: 91.2706, loss: 0.2216 2023-03-03 22:50:56,689 - mmseg - INFO - Iter [25550/160000] lr: 7.500e-05, eta: 10:29:25, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2242, decode.acc_seg: 91.1958, loss: 0.2242 2023-03-03 22:51:08,316 - mmseg - INFO - Iter [25600/160000] lr: 7.500e-05, eta: 10:28:58, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2025, decode.acc_seg: 91.7056, loss: 0.2025 2023-03-03 22:51:19,838 - mmseg - INFO - Iter [25650/160000] lr: 7.500e-05, eta: 10:28:31, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2115, decode.acc_seg: 91.6484, loss: 0.2115 2023-03-03 22:51:31,424 - mmseg - INFO - Iter [25700/160000] lr: 7.500e-05, eta: 10:28:04, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2212, decode.acc_seg: 91.3148, loss: 0.2212 2023-03-03 22:51:43,148 - mmseg - INFO - Iter [25750/160000] lr: 7.500e-05, eta: 10:27:38, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2133, decode.acc_seg: 91.5732, loss: 0.2133 2023-03-03 22:51:54,965 - mmseg - INFO - Iter [25800/160000] lr: 7.500e-05, eta: 10:27:12, time: 0.236, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2159, decode.acc_seg: 91.3596, loss: 0.2159 2023-03-03 22:52:06,678 - mmseg - INFO - Iter [25850/160000] lr: 7.500e-05, eta: 10:26:46, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2137, decode.acc_seg: 91.4675, loss: 0.2137 2023-03-03 22:52:20,715 - mmseg - INFO - Iter [25900/160000] lr: 7.500e-05, eta: 10:26:32, time: 0.281, data_time: 0.056, memory: 67409, decode.loss_ce: 0.2108, decode.acc_seg: 91.4461, loss: 0.2108 2023-03-03 22:52:32,180 - mmseg - INFO - Iter [25950/160000] lr: 7.500e-05, eta: 10:26:05, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2185, decode.acc_seg: 91.4179, loss: 0.2185 2023-03-03 22:52:43,662 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-03 22:52:43,662 - mmseg - INFO - Iter [26000/160000] lr: 7.500e-05, eta: 10:25:38, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2141, decode.acc_seg: 91.3995, loss: 0.2141 2023-03-03 22:52:55,192 - mmseg - INFO - Iter [26050/160000] lr: 7.500e-05, eta: 10:25:11, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2166, decode.acc_seg: 91.3416, loss: 0.2166 2023-03-03 22:53:06,905 - mmseg - INFO - Iter [26100/160000] lr: 7.500e-05, eta: 10:24:46, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2139, decode.acc_seg: 91.3695, loss: 0.2139 2023-03-03 22:53:18,472 - mmseg - INFO - Iter [26150/160000] lr: 7.500e-05, eta: 10:24:19, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2160, decode.acc_seg: 91.4306, loss: 0.2160 2023-03-03 22:53:30,074 - mmseg - INFO - Iter [26200/160000] lr: 7.500e-05, eta: 10:23:53, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2181, decode.acc_seg: 91.4257, loss: 0.2181 2023-03-03 22:53:41,661 - mmseg - INFO - Iter [26250/160000] lr: 7.500e-05, eta: 10:23:27, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2235, decode.acc_seg: 91.3593, loss: 0.2235 2023-03-03 22:53:53,222 - mmseg - INFO - Iter [26300/160000] lr: 7.500e-05, eta: 10:23:00, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2200, decode.acc_seg: 91.2710, loss: 0.2200 2023-03-03 22:54:04,910 - mmseg - INFO - Iter [26350/160000] lr: 7.500e-05, eta: 10:22:35, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2156, decode.acc_seg: 91.2235, loss: 0.2156 2023-03-03 22:54:16,447 - mmseg - INFO - Iter [26400/160000] lr: 7.500e-05, eta: 10:22:08, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2152, decode.acc_seg: 91.5040, loss: 0.2152 2023-03-03 22:54:28,097 - mmseg - INFO - Iter [26450/160000] lr: 7.500e-05, eta: 10:21:43, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2091, decode.acc_seg: 91.5012, loss: 0.2091 2023-03-03 22:54:39,602 - mmseg - INFO - Iter [26500/160000] lr: 7.500e-05, eta: 10:21:16, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2206, decode.acc_seg: 91.2301, loss: 0.2206 2023-03-03 22:54:53,886 - mmseg - INFO - Iter [26550/160000] lr: 7.500e-05, eta: 10:21:04, time: 0.286, data_time: 0.054, memory: 67409, decode.loss_ce: 0.2092, decode.acc_seg: 91.6137, loss: 0.2092 2023-03-03 22:55:05,358 - mmseg - INFO - Iter [26600/160000] lr: 7.500e-05, eta: 10:20:38, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2157, decode.acc_seg: 91.5684, loss: 0.2157 2023-03-03 22:55:16,989 - mmseg - INFO - Iter [26650/160000] lr: 7.500e-05, eta: 10:20:12, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2212, decode.acc_seg: 91.0645, loss: 0.2212 2023-03-03 22:55:28,576 - mmseg - INFO - Iter [26700/160000] lr: 7.500e-05, eta: 10:19:46, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2149, decode.acc_seg: 91.4528, loss: 0.2149 2023-03-03 22:55:40,264 - mmseg - INFO - Iter [26750/160000] lr: 7.500e-05, eta: 10:19:21, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2103, decode.acc_seg: 91.6052, loss: 0.2103 2023-03-03 22:55:51,758 - mmseg - INFO - Iter [26800/160000] lr: 7.500e-05, eta: 10:18:55, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2234, decode.acc_seg: 91.2596, loss: 0.2234 2023-03-03 22:56:03,348 - mmseg - INFO - Iter [26850/160000] lr: 7.500e-05, eta: 10:18:29, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2087, decode.acc_seg: 91.5229, loss: 0.2087 2023-03-03 22:56:14,809 - mmseg - INFO - Iter [26900/160000] lr: 7.500e-05, eta: 10:18:03, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2143, decode.acc_seg: 91.5316, loss: 0.2143 2023-03-03 22:56:26,305 - mmseg - INFO - Iter [26950/160000] lr: 7.500e-05, eta: 10:17:37, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2207, decode.acc_seg: 91.2952, loss: 0.2207 2023-03-03 22:56:37,845 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-03 22:56:37,845 - mmseg - INFO - Iter [27000/160000] lr: 7.500e-05, eta: 10:17:12, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2068, decode.acc_seg: 91.7264, loss: 0.2068 2023-03-03 22:56:49,353 - mmseg - INFO - Iter [27050/160000] lr: 7.500e-05, eta: 10:16:46, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2151, decode.acc_seg: 91.4838, loss: 0.2151 2023-03-03 22:57:00,856 - mmseg - INFO - Iter [27100/160000] lr: 7.500e-05, eta: 10:16:20, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2185, decode.acc_seg: 91.3306, loss: 0.2185 2023-03-03 22:57:15,052 - mmseg - INFO - Iter [27150/160000] lr: 7.500e-05, eta: 10:16:07, time: 0.284, data_time: 0.054, memory: 67409, decode.loss_ce: 0.2268, decode.acc_seg: 91.0007, loss: 0.2268 2023-03-03 22:57:26,550 - mmseg - INFO - Iter [27200/160000] lr: 7.500e-05, eta: 10:15:42, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2135, decode.acc_seg: 91.5538, loss: 0.2135 2023-03-03 22:57:38,117 - mmseg - INFO - Iter [27250/160000] lr: 7.500e-05, eta: 10:15:16, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2156, decode.acc_seg: 91.3759, loss: 0.2156 2023-03-03 22:57:49,851 - mmseg - INFO - Iter [27300/160000] lr: 7.500e-05, eta: 10:14:52, time: 0.235, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2095, decode.acc_seg: 91.6440, loss: 0.2095 2023-03-03 22:58:01,436 - mmseg - INFO - Iter [27350/160000] lr: 7.500e-05, eta: 10:14:27, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2122, decode.acc_seg: 91.5613, loss: 0.2122 2023-03-03 22:58:12,957 - mmseg - INFO - Iter [27400/160000] lr: 7.500e-05, eta: 10:14:01, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2113, decode.acc_seg: 91.5873, loss: 0.2113 2023-03-03 22:58:24,482 - mmseg - INFO - Iter [27450/160000] lr: 7.500e-05, eta: 10:13:36, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2076, decode.acc_seg: 91.7543, loss: 0.2076 2023-03-03 22:58:36,264 - mmseg - INFO - Iter [27500/160000] lr: 7.500e-05, eta: 10:13:12, time: 0.236, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2224, decode.acc_seg: 91.2139, loss: 0.2224 2023-03-03 22:58:48,100 - mmseg - INFO - Iter [27550/160000] lr: 7.500e-05, eta: 10:12:48, time: 0.237, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2221, decode.acc_seg: 91.2051, loss: 0.2221 2023-03-03 22:58:59,675 - mmseg - INFO - Iter [27600/160000] lr: 7.500e-05, eta: 10:12:23, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2115, decode.acc_seg: 91.6686, loss: 0.2115 2023-03-03 22:59:11,380 - mmseg - INFO - Iter [27650/160000] lr: 7.500e-05, eta: 10:11:59, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2107, decode.acc_seg: 91.7376, loss: 0.2107 2023-03-03 22:59:22,984 - mmseg - INFO - Iter [27700/160000] lr: 7.500e-05, eta: 10:11:34, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2137, decode.acc_seg: 91.5304, loss: 0.2137 2023-03-03 22:59:34,560 - mmseg - INFO - Iter [27750/160000] lr: 7.500e-05, eta: 10:11:10, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2135, decode.acc_seg: 91.5727, loss: 0.2135 2023-03-03 22:59:48,638 - mmseg - INFO - Iter [27800/160000] lr: 7.500e-05, eta: 10:10:57, time: 0.282, data_time: 0.054, memory: 67409, decode.loss_ce: 0.2088, decode.acc_seg: 91.6425, loss: 0.2088 2023-03-03 23:00:00,118 - mmseg - INFO - Iter [27850/160000] lr: 7.500e-05, eta: 10:10:32, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2182, decode.acc_seg: 91.2850, loss: 0.2182 2023-03-03 23:00:11,515 - mmseg - INFO - Iter [27900/160000] lr: 7.500e-05, eta: 10:10:06, time: 0.228, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2106, decode.acc_seg: 91.7063, loss: 0.2106 2023-03-03 23:00:22,965 - mmseg - INFO - Iter [27950/160000] lr: 7.500e-05, eta: 10:09:41, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2124, decode.acc_seg: 91.5546, loss: 0.2124 2023-03-03 23:00:34,393 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-03 23:00:34,394 - mmseg - INFO - Iter [28000/160000] lr: 7.500e-05, eta: 10:09:16, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2149, decode.acc_seg: 91.2839, loss: 0.2149 2023-03-03 23:00:45,994 - mmseg - INFO - Iter [28050/160000] lr: 7.500e-05, eta: 10:08:51, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2095, decode.acc_seg: 91.5535, loss: 0.2095 2023-03-03 23:00:57,718 - mmseg - INFO - Iter [28100/160000] lr: 7.500e-05, eta: 10:08:27, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2240, decode.acc_seg: 91.0358, loss: 0.2240 2023-03-03 23:01:09,422 - mmseg - INFO - Iter [28150/160000] lr: 7.500e-05, eta: 10:08:04, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2088, decode.acc_seg: 91.7361, loss: 0.2088 2023-03-03 23:01:20,855 - mmseg - INFO - Iter [28200/160000] lr: 7.500e-05, eta: 10:07:38, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2113, decode.acc_seg: 91.5268, loss: 0.2113 2023-03-03 23:01:32,421 - mmseg - INFO - Iter [28250/160000] lr: 7.500e-05, eta: 10:07:14, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2165, decode.acc_seg: 91.4919, loss: 0.2165 2023-03-03 23:01:44,044 - mmseg - INFO - Iter [28300/160000] lr: 7.500e-05, eta: 10:06:50, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2251, decode.acc_seg: 91.2080, loss: 0.2251 2023-03-03 23:01:55,667 - mmseg - INFO - Iter [28350/160000] lr: 7.500e-05, eta: 10:06:26, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2066, decode.acc_seg: 91.8157, loss: 0.2066 2023-03-03 23:02:09,731 - mmseg - INFO - Iter [28400/160000] lr: 7.500e-05, eta: 10:06:13, time: 0.281, data_time: 0.054, memory: 67409, decode.loss_ce: 0.2138, decode.acc_seg: 91.4188, loss: 0.2138 2023-03-03 23:02:21,182 - mmseg - INFO - Iter [28450/160000] lr: 7.500e-05, eta: 10:05:48, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2138, decode.acc_seg: 91.5269, loss: 0.2138 2023-03-03 23:02:32,788 - mmseg - INFO - Iter [28500/160000] lr: 7.500e-05, eta: 10:05:24, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2064, decode.acc_seg: 91.7162, loss: 0.2064 2023-03-03 23:02:44,472 - mmseg - INFO - Iter [28550/160000] lr: 7.500e-05, eta: 10:05:01, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2105, decode.acc_seg: 91.7561, loss: 0.2105 2023-03-03 23:02:55,944 - mmseg - INFO - Iter [28600/160000] lr: 7.500e-05, eta: 10:04:36, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2154, decode.acc_seg: 91.3945, loss: 0.2154 2023-03-03 23:03:07,583 - mmseg - INFO - Iter [28650/160000] lr: 7.500e-05, eta: 10:04:13, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2196, decode.acc_seg: 91.3778, loss: 0.2196 2023-03-03 23:03:19,252 - mmseg - INFO - Iter [28700/160000] lr: 7.500e-05, eta: 10:03:49, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2171, decode.acc_seg: 91.3276, loss: 0.2171 2023-03-03 23:03:30,775 - mmseg - INFO - Iter [28750/160000] lr: 7.500e-05, eta: 10:03:25, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2183, decode.acc_seg: 91.3509, loss: 0.2183 2023-03-03 23:03:42,361 - mmseg - INFO - Iter [28800/160000] lr: 7.500e-05, eta: 10:03:01, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2201, decode.acc_seg: 91.1997, loss: 0.2201 2023-03-03 23:03:53,965 - mmseg - INFO - Iter [28850/160000] lr: 7.500e-05, eta: 10:02:37, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2161, decode.acc_seg: 91.3789, loss: 0.2161 2023-03-03 23:04:05,495 - mmseg - INFO - Iter [28900/160000] lr: 7.500e-05, eta: 10:02:13, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2174, decode.acc_seg: 91.3052, loss: 0.2174 2023-03-03 23:04:16,940 - mmseg - INFO - Iter [28950/160000] lr: 7.500e-05, eta: 10:01:49, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2104, decode.acc_seg: 91.5591, loss: 0.2104 2023-03-03 23:04:28,418 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-03 23:04:28,418 - mmseg - INFO - Iter [29000/160000] lr: 7.500e-05, eta: 10:01:25, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2164, decode.acc_seg: 91.5847, loss: 0.2164 2023-03-03 23:04:42,413 - mmseg - INFO - Iter [29050/160000] lr: 7.500e-05, eta: 10:01:12, time: 0.280, data_time: 0.056, memory: 67409, decode.loss_ce: 0.2092, decode.acc_seg: 91.5622, loss: 0.2092 2023-03-03 23:04:54,052 - mmseg - INFO - Iter [29100/160000] lr: 7.500e-05, eta: 10:00:49, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2160, decode.acc_seg: 91.3347, loss: 0.2160 2023-03-03 23:05:05,585 - mmseg - INFO - Iter [29150/160000] lr: 7.500e-05, eta: 10:00:25, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2139, decode.acc_seg: 91.2162, loss: 0.2139 2023-03-03 23:05:17,148 - mmseg - INFO - Iter [29200/160000] lr: 7.500e-05, eta: 10:00:01, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2202, decode.acc_seg: 91.2844, loss: 0.2202 2023-03-03 23:05:28,828 - mmseg - INFO - Iter [29250/160000] lr: 7.500e-05, eta: 9:59:38, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2096, decode.acc_seg: 91.5021, loss: 0.2096 2023-03-03 23:05:40,329 - mmseg - INFO - Iter [29300/160000] lr: 7.500e-05, eta: 9:59:14, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2114, decode.acc_seg: 91.4832, loss: 0.2114 2023-03-03 23:05:52,059 - mmseg - INFO - Iter [29350/160000] lr: 7.500e-05, eta: 9:58:52, time: 0.235, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2150, decode.acc_seg: 91.3387, loss: 0.2150 2023-03-03 23:06:03,729 - mmseg - INFO - Iter [29400/160000] lr: 7.500e-05, eta: 9:58:29, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2107, decode.acc_seg: 91.8190, loss: 0.2107 2023-03-03 23:06:15,311 - mmseg - INFO - Iter [29450/160000] lr: 7.500e-05, eta: 9:58:05, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2142, decode.acc_seg: 91.3949, loss: 0.2142 2023-03-03 23:06:26,876 - mmseg - INFO - Iter [29500/160000] lr: 7.500e-05, eta: 9:57:42, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2136, decode.acc_seg: 91.5023, loss: 0.2136 2023-03-03 23:06:38,346 - mmseg - INFO - Iter [29550/160000] lr: 7.500e-05, eta: 9:57:18, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2091, decode.acc_seg: 91.8169, loss: 0.2091 2023-03-03 23:06:49,813 - mmseg - INFO - Iter [29600/160000] lr: 7.500e-05, eta: 9:56:54, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2161, decode.acc_seg: 91.3801, loss: 0.2161 2023-03-03 23:07:01,677 - mmseg - INFO - Iter [29650/160000] lr: 7.500e-05, eta: 9:56:32, time: 0.237, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2126, decode.acc_seg: 91.4783, loss: 0.2126 2023-03-03 23:07:15,786 - mmseg - INFO - Iter [29700/160000] lr: 7.500e-05, eta: 9:56:20, time: 0.282, data_time: 0.053, memory: 67409, decode.loss_ce: 0.2132, decode.acc_seg: 91.6326, loss: 0.2132 2023-03-03 23:07:27,388 - mmseg - INFO - Iter [29750/160000] lr: 7.500e-05, eta: 9:55:57, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2082, decode.acc_seg: 91.5667, loss: 0.2082 2023-03-03 23:07:39,070 - mmseg - INFO - Iter [29800/160000] lr: 7.500e-05, eta: 9:55:35, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2084, decode.acc_seg: 91.7190, loss: 0.2084 2023-03-03 23:07:50,518 - mmseg - INFO - Iter [29850/160000] lr: 7.500e-05, eta: 9:55:11, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2144, decode.acc_seg: 91.3484, loss: 0.2144 2023-03-03 23:08:02,164 - mmseg - INFO - Iter [29900/160000] lr: 7.500e-05, eta: 9:54:48, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2127, decode.acc_seg: 91.5624, loss: 0.2127 2023-03-03 23:08:13,796 - mmseg - INFO - Iter [29950/160000] lr: 7.500e-05, eta: 9:54:25, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2115, decode.acc_seg: 91.5593, loss: 0.2115 2023-03-03 23:08:25,374 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-03 23:08:25,374 - mmseg - INFO - Iter [30000/160000] lr: 7.500e-05, eta: 9:54:02, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2070, decode.acc_seg: 91.7948, loss: 0.2070 2023-03-03 23:08:36,808 - mmseg - INFO - Iter [30050/160000] lr: 7.500e-05, eta: 9:53:39, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2189, decode.acc_seg: 91.2188, loss: 0.2189 2023-03-03 23:08:48,494 - mmseg - INFO - Iter [30100/160000] lr: 7.500e-05, eta: 9:53:16, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2138, decode.acc_seg: 91.4154, loss: 0.2138 2023-03-03 23:08:59,989 - mmseg - INFO - Iter [30150/160000] lr: 7.500e-05, eta: 9:52:53, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2063, decode.acc_seg: 91.5815, loss: 0.2063 2023-03-03 23:09:11,490 - mmseg - INFO - Iter [30200/160000] lr: 7.500e-05, eta: 9:52:30, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2224, decode.acc_seg: 91.3541, loss: 0.2224 2023-03-03 23:09:23,239 - mmseg - INFO - Iter [30250/160000] lr: 7.500e-05, eta: 9:52:08, time: 0.235, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2200, decode.acc_seg: 91.3753, loss: 0.2200 2023-03-03 23:09:37,305 - mmseg - INFO - Iter [30300/160000] lr: 7.500e-05, eta: 9:51:56, time: 0.281, data_time: 0.056, memory: 67409, decode.loss_ce: 0.2076, decode.acc_seg: 91.5688, loss: 0.2076 2023-03-03 23:09:48,800 - mmseg - INFO - Iter [30350/160000] lr: 7.500e-05, eta: 9:51:33, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2086, decode.acc_seg: 91.7286, loss: 0.2086 2023-03-03 23:10:00,686 - mmseg - INFO - Iter [30400/160000] lr: 7.500e-05, eta: 9:51:12, time: 0.238, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2127, decode.acc_seg: 91.6599, loss: 0.2127 2023-03-03 23:10:12,142 - mmseg - INFO - Iter [30450/160000] lr: 7.500e-05, eta: 9:50:48, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2138, decode.acc_seg: 91.5215, loss: 0.2138 2023-03-03 23:10:23,787 - mmseg - INFO - Iter [30500/160000] lr: 7.500e-05, eta: 9:50:26, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2172, decode.acc_seg: 91.3510, loss: 0.2172 2023-03-03 23:10:35,386 - mmseg - INFO - Iter [30550/160000] lr: 7.500e-05, eta: 9:50:04, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2231, decode.acc_seg: 91.1601, loss: 0.2231 2023-03-03 23:10:46,930 - mmseg - INFO - Iter [30600/160000] lr: 7.500e-05, eta: 9:49:41, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2159, decode.acc_seg: 91.5811, loss: 0.2159 2023-03-03 23:10:58,460 - mmseg - INFO - Iter [30650/160000] lr: 7.500e-05, eta: 9:49:18, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2094, decode.acc_seg: 91.5500, loss: 0.2094 2023-03-03 23:11:10,006 - mmseg - INFO - Iter [30700/160000] lr: 7.500e-05, eta: 9:48:56, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2054, decode.acc_seg: 91.8735, loss: 0.2054 2023-03-03 23:11:21,735 - mmseg - INFO - Iter [30750/160000] lr: 7.500e-05, eta: 9:48:34, time: 0.235, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2148, decode.acc_seg: 91.4464, loss: 0.2148 2023-03-03 23:11:33,298 - mmseg - INFO - Iter [30800/160000] lr: 7.500e-05, eta: 9:48:11, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2214, decode.acc_seg: 90.9023, loss: 0.2214 2023-03-03 23:11:44,951 - mmseg - INFO - Iter [30850/160000] lr: 7.500e-05, eta: 9:47:49, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2166, decode.acc_seg: 91.4957, loss: 0.2166 2023-03-03 23:11:56,462 - mmseg - INFO - Iter [30900/160000] lr: 7.500e-05, eta: 9:47:27, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2208, decode.acc_seg: 91.2590, loss: 0.2208 2023-03-03 23:12:10,467 - mmseg - INFO - Iter [30950/160000] lr: 7.500e-05, eta: 9:47:14, time: 0.280, data_time: 0.054, memory: 67409, decode.loss_ce: 0.2165, decode.acc_seg: 91.1759, loss: 0.2165 2023-03-03 23:12:22,082 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-03 23:12:22,083 - mmseg - INFO - Iter [31000/160000] lr: 7.500e-05, eta: 9:46:52, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2079, decode.acc_seg: 91.6139, loss: 0.2079 2023-03-03 23:12:33,676 - mmseg - INFO - Iter [31050/160000] lr: 7.500e-05, eta: 9:46:30, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2186, decode.acc_seg: 91.4716, loss: 0.2186 2023-03-03 23:12:45,247 - mmseg - INFO - Iter [31100/160000] lr: 7.500e-05, eta: 9:46:08, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2133, decode.acc_seg: 91.5809, loss: 0.2133 2023-03-03 23:12:56,801 - mmseg - INFO - Iter [31150/160000] lr: 7.500e-05, eta: 9:45:46, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2208, decode.acc_seg: 91.3266, loss: 0.2208 2023-03-03 23:13:08,473 - mmseg - INFO - Iter [31200/160000] lr: 7.500e-05, eta: 9:45:24, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2183, decode.acc_seg: 91.2427, loss: 0.2183 2023-03-03 23:13:20,009 - mmseg - INFO - Iter [31250/160000] lr: 7.500e-05, eta: 9:45:02, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2161, decode.acc_seg: 91.3118, loss: 0.2161 2023-03-03 23:13:31,506 - mmseg - INFO - Iter [31300/160000] lr: 7.500e-05, eta: 9:44:39, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2045, decode.acc_seg: 91.8322, loss: 0.2045 2023-03-03 23:13:42,997 - mmseg - INFO - Iter [31350/160000] lr: 7.500e-05, eta: 9:44:17, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2180, decode.acc_seg: 91.3463, loss: 0.2180 2023-03-03 23:13:54,751 - mmseg - INFO - Iter [31400/160000] lr: 7.500e-05, eta: 9:43:55, time: 0.235, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2119, decode.acc_seg: 91.5792, loss: 0.2119 2023-03-03 23:14:06,283 - mmseg - INFO - Iter [31450/160000] lr: 7.500e-05, eta: 9:43:33, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2197, decode.acc_seg: 91.2790, loss: 0.2197 2023-03-03 23:14:17,789 - mmseg - INFO - Iter [31500/160000] lr: 7.500e-05, eta: 9:43:11, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2143, decode.acc_seg: 91.5152, loss: 0.2143 2023-03-03 23:14:29,224 - mmseg - INFO - Iter [31550/160000] lr: 7.500e-05, eta: 9:42:49, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2155, decode.acc_seg: 91.4023, loss: 0.2155 2023-03-03 23:14:43,434 - mmseg - INFO - Iter [31600/160000] lr: 7.500e-05, eta: 9:42:37, time: 0.284, data_time: 0.058, memory: 67409, decode.loss_ce: 0.2077, decode.acc_seg: 91.6468, loss: 0.2077 2023-03-03 23:14:55,382 - mmseg - INFO - Iter [31650/160000] lr: 7.500e-05, eta: 9:42:17, time: 0.239, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2164, decode.acc_seg: 91.4704, loss: 0.2164 2023-03-03 23:15:06,973 - mmseg - INFO - Iter [31700/160000] lr: 7.500e-05, eta: 9:41:55, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2139, decode.acc_seg: 91.4200, loss: 0.2139 2023-03-03 23:15:18,379 - mmseg - INFO - Iter [31750/160000] lr: 7.500e-05, eta: 9:41:33, time: 0.228, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2160, decode.acc_seg: 91.4493, loss: 0.2160 2023-03-03 23:15:29,950 - mmseg - INFO - Iter [31800/160000] lr: 7.500e-05, eta: 9:41:11, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2157, decode.acc_seg: 91.3997, loss: 0.2157 2023-03-03 23:15:41,400 - mmseg - INFO - Iter [31850/160000] lr: 7.500e-05, eta: 9:40:49, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2203, decode.acc_seg: 91.3067, loss: 0.2203 2023-03-03 23:15:52,980 - mmseg - INFO - Iter [31900/160000] lr: 7.500e-05, eta: 9:40:27, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2136, decode.acc_seg: 91.4779, loss: 0.2136 2023-03-03 23:16:04,890 - mmseg - INFO - Iter [31950/160000] lr: 7.500e-05, eta: 9:40:07, time: 0.238, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2039, decode.acc_seg: 91.8656, loss: 0.2039 2023-03-03 23:16:16,310 - mmseg - INFO - Swap parameters (after train) after iter [32000] 2023-03-03 23:16:16,325 - mmseg - INFO - Saving checkpoint at 32000 iterations 2023-03-03 23:16:17,787 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-03 23:16:17,787 - mmseg - INFO - Iter [32000/160000] lr: 7.500e-05, eta: 9:39:50, time: 0.258, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1984, decode.acc_seg: 92.0851, loss: 0.1984 2023-03-03 23:27:09,562 - mmseg - INFO - per class results: 2023-03-03 23:27:09,570 - mmseg - INFO - +---------------------+-------------------------------------------------------------------+ | Class | IoU 0,10,20,30,40,50,60,70,80,90,99 | +---------------------+-------------------------------------------------------------------+ | background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | | wall | 76.08,76.09,76.09,76.11,76.11,76.09,76.1,76.12,76.1,76.1,76.11 | | building | 82.56,82.56,82.56,82.56,82.57,82.56,82.57,82.57,82.57,82.56,82.55 | | sky | 94.17,94.17,94.17,94.17,94.17,94.17,94.18,94.18,94.18,94.18,94.17 | | floor | 78.9,78.91,78.88,78.9,78.89,78.89,78.9,78.9,78.91,78.9,79.0 | | tree | 73.3,73.31,73.31,73.31,73.31,73.31,73.32,73.34,73.35,73.36,73.34 | | ceiling | 82.53,82.53,82.54,82.56,82.58,82.58,82.58,82.6,82.57,82.6,82.56 | | road | 81.06,81.06,81.08,81.1,81.1,81.12,81.11,81.12,81.12,81.12,81.22 | | bed | 87.95,87.95,87.97,87.97,87.99,88.0,88.0,88.02,88.02,88.04,88.02 | | windowpane | 59.72,59.72,59.71,59.74,59.76,59.75,59.75,59.75,59.76,59.77,59.78 | | grass | 65.4,65.37,65.34,65.38,65.36,65.39,65.36,65.35,65.36,65.37,65.38 | | cabinet | 57.89,57.87,57.85,57.78,57.82,57.79,57.73,57.75,57.67,57.68,57.65 | | sidewalk | 65.17,65.15,65.14,65.25,65.22,65.27,65.3,65.31,65.3,65.32,65.33 | | person | 78.23,78.22,78.2,78.22,78.23,78.2,78.2,78.2,78.21,78.17,78.2 | | earth | 32.28,32.27,32.25,32.27,32.22,32.22,32.24,32.22,32.21,32.16,32.21 | | door | 46.07,46.03,46.04,46.02,45.97,45.91,45.97,45.97,45.95,45.96,46.08 | | table | 60.29,60.24,60.26,60.23,60.22,60.22,60.2,60.23,60.2,60.21,60.19 | | mountain | 51.47,51.47,51.41,51.42,51.41,51.37,51.32,51.32,51.28,51.28,51.24 | | plant | 51.57,51.56,51.54,51.47,51.52,51.5,51.43,51.42,51.42,51.4,51.46 | | curtain | 71.7,71.67,71.72,71.76,71.7,71.74,71.69,71.66,71.69,71.66,71.68 | | chair | 54.91,54.9,54.87,54.85,54.86,54.84,54.85,54.86,54.86,54.85,54.8 | | car | 81.42,81.39,81.39,81.39,81.37,81.38,81.39,81.37,81.33,81.34,81.3 | | water | 44.53,44.49,44.47,44.44,44.42,44.4,44.31,44.31,44.31,44.26,44.21 | | painting | 70.99,71.01,71.02,71.0,71.06,71.04,71.07,71.08,71.07,71.09,71.13 | | sofa | 64.21,64.24,64.31,64.32,64.36,64.3,64.34,64.4,64.33,64.3,64.22 | | shelf | 39.13,39.11,39.15,39.13,39.13,39.15,39.18,39.21,39.16,39.15,39.17 | | house | 46.27,46.28,46.31,46.32,46.33,46.33,46.33,46.3,46.31,46.29,46.35 | | sea | 42.14,42.11,42.07,42.06,42.06,42.06,42.05,42.02,42.01,42.01,41.97 | | mirror | 63.55,63.61,63.62,63.62,63.62,63.64,63.62,63.58,63.59,63.57,63.36 | | rug | 55.75,55.73,55.63,55.86,55.69,55.52,55.59,55.62,55.83,55.72,56.22 | | field | 22.76,22.78,22.86,22.9,23.05,23.15,23.05,23.12,23.23,23.27,23.31 | | armchair | 41.99,42.0,42.03,42.03,42.12,41.99,42.01,42.16,42.07,42.03,42.15 | | seat | 58.55,58.52,58.57,58.46,58.53,58.49,58.54,58.45,58.42,58.42,58.73 | | fence | 33.65,33.67,33.69,33.68,33.69,33.73,33.71,33.75,33.76,33.77,33.76 | | desk | 48.66,48.65,48.6,48.64,48.56,48.54,48.58,48.57,48.63,48.64,48.74 | | rock | 30.26,30.27,30.26,30.35,30.34,30.29,30.3,30.22,30.24,30.19,30.59 | | wardrobe | 43.58,43.45,43.42,43.24,43.31,43.39,43.18,43.24,43.17,43.15,43.37 | | lamp | 62.66,62.67,62.67,62.71,62.75,62.69,62.79,62.81,62.82,62.83,62.77 | | bathtub | 74.65,74.52,74.44,74.49,74.3,74.15,74.09,73.82,73.87,73.71,73.92 | | railing | 28.7,28.76,28.74,28.72,28.76,28.72,28.72,28.72,28.67,28.66,28.75 | | cushion | 53.72,53.73,53.75,53.75,53.78,53.68,53.74,53.73,53.76,53.79,53.85 | | base | 20.07,20.14,20.26,20.29,20.31,20.27,20.44,20.43,20.47,20.49,20.83 | | box | 21.71,21.68,21.7,21.8,21.76,21.58,21.73,21.79,21.83,21.83,21.76 | | column | 44.89,44.93,44.94,44.95,44.98,45.04,45.08,45.16,45.18,45.3,44.88 | | signboard | 35.69,35.67,35.72,35.75,35.76,35.69,35.69,35.67,35.64,35.72,35.88 | | chest of drawers | 38.1,37.99,38.03,37.95,38.08,38.08,37.94,37.88,37.89,37.84,37.75 | | counter | 26.36,26.22,26.05,26.18,26.06,26.16,26.13,26.1,26.04,26.06,26.1 | | sand | 31.85,31.78,31.84,31.76,31.78,31.8,31.71,31.68,31.71,31.63,31.48 | | sink | 67.54,67.6,67.54,67.48,67.55,67.51,67.51,67.47,67.47,67.48,67.51 | | skyscraper | 65.14,65.08,65.15,65.21,65.2,65.21,65.25,65.35,65.2,65.12,65.04 | | fireplace | 70.3,70.34,70.25,70.29,70.22,70.19,70.15,70.12,70.09,70.1,70.06 | | refrigerator | 72.15,72.13,72.3,72.25,72.34,72.41,72.38,72.51,72.52,72.51,72.4 | | grandstand | 38.56,38.45,38.31,38.3,38.21,38.23,38.36,38.07,38.03,38.01,38.03 | | path | 15.93,15.81,15.87,16.14,16.25,16.27,16.28,16.32,16.36,16.28,16.12 | | stairs | 30.12,30.14,30.14,30.16,30.14,30.11,30.11,30.1,30.08,30.12,30.12 | | runway | 59.98,60.04,60.04,60.07,60.08,60.09,60.13,60.15,60.19,60.16,60.22 | | case | 44.94,44.93,44.94,44.93,44.95,44.83,44.9,44.82,44.8,44.79,44.82 | | pool table | 91.67,91.68,91.68,91.7,91.71,91.72,91.71,91.74,91.73,91.75,91.72 | | pillow | 55.35,55.36,55.43,55.36,55.44,55.35,55.4,55.37,55.35,55.32,55.48 | | screen door | 70.11,70.09,70.41,70.19,70.19,70.07,70.08,70.52,70.25,70.23,69.46 | | stairway | 31.15,31.08,31.1,31.02,31.0,30.97,30.9,30.87,30.91,30.88,30.8 | | river | 12.12,12.11,12.11,12.1,12.1,12.09,12.06,12.08,12.05,12.04,12.1 | | bridge | 63.19,63.45,63.35,63.98,63.82,63.78,64.11,63.95,64.11,64.02,64.28 | | bookcase | 39.12,39.2,39.19,39.23,39.26,39.21,39.3,39.24,39.25,39.16,39.53 | | blind | 41.01,40.97,41.05,40.96,40.96,40.99,40.92,40.94,40.96,40.97,40.91 | | coffee table | 58.35,58.54,58.43,58.55,58.7,58.65,58.58,58.58,58.63,58.59,58.61 | | toilet | 85.81,85.77,85.77,85.77,85.8,85.79,85.75,85.71,85.77,85.71,85.7 | | flower | 34.17,34.18,34.1,34.06,34.07,34.0,33.94,34.07,33.94,33.92,34.13 | | book | 45.41,45.35,45.38,45.45,45.39,45.39,45.37,45.4,45.35,45.33,45.49 | | hill | 4.68,4.68,4.67,4.77,4.8,4.73,4.74,4.79,4.76,4.76,4.91 | | bench | 37.15,37.1,37.05,37.12,37.25,37.41,37.53,37.54,37.59,37.62,37.67 | | countertop | 56.32,56.39,56.49,56.52,56.55,56.41,56.63,56.58,56.74,56.62,56.42 | | stove | 72.68,72.64,72.65,72.68,72.68,72.64,72.64,72.7,72.74,72.73,72.57 | | palm | 50.48,50.58,50.64,50.54,50.46,50.67,50.58,50.67,50.59,50.62,50.76 | | kitchen island | 46.74,46.59,46.54,46.48,46.49,46.47,46.55,46.67,46.8,46.83,46.56 | | computer | 54.85,54.85,54.88,54.85,54.91,54.86,54.87,54.84,54.83,54.84,54.81 | | swivel chair | 44.47,44.55,44.45,44.51,44.43,44.48,44.43,44.45,44.39,44.36,44.49 | | boat | 48.68,48.42,48.32,48.4,48.2,48.36,48.33,48.44,48.53,48.39,48.28 | | bar | 24.27,24.24,24.27,24.26,24.24,24.34,24.34,24.34,24.39,24.39,24.25 | | arcade machine | 28.38,28.59,28.05,28.47,28.31,28.08,28.3,28.27,28.14,28.08,28.06 | | hovel | 36.68,36.69,36.52,36.54,36.6,36.53,36.33,36.38,36.32,36.21,36.09 | | bus | 78.36,78.36,78.37,78.39,78.4,78.38,78.36,78.39,78.41,78.46,78.42 | | towel | 56.8,56.91,57.03,56.92,56.95,56.9,56.87,56.99,56.97,56.91,56.95 | | light | 54.31,54.21,54.22,54.22,54.19,54.13,54.07,54.06,54.01,53.95,53.88 | | truck | 32.54,32.51,32.52,32.51,32.53,32.49,32.48,32.68,32.72,32.63,32.34 | | tower | 33.46,33.17,33.32,33.74,33.58,33.52,33.47,33.71,34.1,34.06,34.16 | | chandelier | 67.98,68.02,68.05,68.03,68.06,68.0,68.11,68.04,68.09,68.1,68.02 | | awning | 24.14,24.21,24.24,24.15,24.28,24.37,24.34,24.54,24.72,24.6,24.6 | | streetlight | 25.76,25.78,25.76,25.75,25.72,25.71,25.71,25.74,25.71,25.74,25.74 | | booth | 43.78,43.89,44.19,43.9,44.46,44.59,44.81,44.82,44.8,45.07,45.18 | | television receiver | 67.68,67.65,67.74,67.7,67.7,67.74,67.85,67.84,67.82,68.02,67.74 | | airplane | 50.97,50.89,50.69,50.83,50.63,50.67,50.67,50.6,50.63,50.51,50.53 | | dirt track | 3.25,3.25,3.24,3.25,3.26,3.28,3.25,3.25,3.24,3.23,3.24 | | apparel | 28.44,28.51,28.46,28.4,28.45,28.34,28.36,28.35,28.33,28.42,28.19 | | pole | 23.88,23.93,23.81,23.86,23.79,23.73,23.68,23.6,23.57,23.56,23.52 | | land | 0.67,0.68,0.68,0.7,0.68,0.69,0.7,0.69,0.73,0.71,0.7 | | bannister | 9.04,9.14,8.99,9.1,9.21,9.26,9.22,9.24,9.22,9.32,9.36 | | escalator | 21.5,21.5,21.48,21.42,21.48,21.58,21.45,21.45,21.36,21.38,21.46 | | ottoman | 45.01,44.96,45.03,45.01,44.95,45.1,44.92,44.99,44.84,44.93,44.8 | | bottle | 12.65,12.52,12.49,12.47,12.5,12.48,12.45,12.57,12.68,12.68,12.05 | | buffet | 34.3,34.38,34.36,34.34,34.31,34.37,34.31,34.39,34.38,34.32,34.37 | | poster | 24.13,24.13,24.1,24.18,24.16,24.15,24.09,24.25,24.15,24.13,24.12 | | stage | 10.01,9.97,9.99,10.03,10.01,9.91,9.89,9.99,9.9,9.87,9.91 | | van | 41.03,40.92,41.01,40.84,40.94,41.11,40.99,40.99,40.68,40.9,41.04 | | ship | 68.45,68.62,68.83,69.03,69.18,69.24,69.5,69.6,69.68,69.8,69.81 | | fountain | 0.53,0.52,0.53,0.54,0.54,0.54,0.55,0.54,0.54,0.53,0.54 | | conveyer belt | 66.32,66.43,66.53,66.62,66.55,66.67,66.79,66.66,66.46,66.53,65.73 | | canopy | 15.96,15.91,15.97,15.97,15.94,15.92,15.93,16.02,15.93,15.99,15.9 | | washer | 63.77,63.77,63.72,63.72,63.75,63.72,63.71,63.63,63.54,63.58,63.83 | | plaything | 23.07,23.19,23.11,23.26,23.2,23.25,23.07,23.16,23.15,23.18,23.21 | | swimming pool | 28.97,28.85,28.92,29.02,28.86,28.91,28.99,28.91,28.99,28.89,28.8 | | stool | 41.99,42.01,42.1,42.11,42.12,42.05,42.06,42.11,42.06,42.06,42.3 | | barrel | 41.77,41.47,41.3,40.96,40.89,40.61,40.13,40.01,39.89,39.7,39.41 | | basket | 22.65,22.61,22.58,22.51,22.39,22.34,22.31,22.23,22.23,22.14,22.01 | | waterfall | 60.63,60.67,60.63,60.35,60.63,60.44,60.33,60.39,60.35,60.35,59.79 | | tent | 93.09,93.07,93.03,92.99,92.99,92.9,92.86,92.77,92.77,92.67,92.66 | | bag | 8.67,8.74,8.67,8.84,8.8,8.91,8.93,8.94,9.01,8.98,9.08 | | minibike | 49.49,49.43,49.62,49.72,49.72,49.85,49.97,49.94,49.82,49.7,49.79 | | cradle | 76.3,76.38,76.38,76.46,76.48,76.48,76.53,76.56,76.58,76.67,76.6 | | oven | 22.08,22.12,22.18,22.25,22.27,22.25,22.24,22.34,22.5,22.56,22.15 | | ball | 45.95,45.9,45.95,45.86,45.88,45.9,45.82,45.77,45.74,45.68,45.54 | | food | 50.67,50.63,50.53,50.5,50.36,50.26,50.19,49.98,49.95,49.77,49.62 | | step | 4.86,4.86,4.81,4.88,4.89,4.96,4.96,4.93,4.98,4.98,5.01 | | tank | 45.59,45.66,45.82,46.04,46.03,46.23,46.36,46.3,46.33,46.39,46.71 | | trade name | 22.59,22.58,22.58,22.63,22.64,22.57,22.69,22.63,22.77,22.71,22.42 | | microwave | 39.08,39.05,38.95,38.94,38.91,38.79,38.76,38.71,38.68,38.64,38.49 | | pot | 37.24,37.23,37.17,37.18,37.12,37.1,37.05,37.03,36.97,36.92,36.9 | | animal | 51.77,51.95,51.97,52.05,52.08,52.07,52.14,52.16,52.28,52.22,52.36 | | bicycle | 45.65,45.66,45.64,45.77,45.57,45.56,45.53,45.33,45.29,45.05,45.36 | | lake | 59.41,59.27,59.48,59.43,59.54,59.73,59.15,59.45,59.58,59.45,59.34 | | dishwasher | 71.3,71.14,71.17,71.17,70.95,70.96,70.86,70.73,71.03,70.73,70.57 | | screen | 60.53,60.58,60.55,60.64,60.49,60.42,60.44,60.4,60.52,60.68,60.53 | | blanket | 6.94,7.04,7.0,7.09,7.09,7.08,7.15,7.25,7.27,7.28,7.32 | | sculpture | 42.21,42.06,42.0,41.85,41.7,41.81,41.89,41.78,41.54,41.46,41.36 | | hood | 60.22,60.08,60.04,59.95,59.93,59.82,59.71,59.66,59.63,59.66,59.7 | | sconce | 40.89,40.99,41.15,41.03,41.02,41.24,41.24,41.24,41.38,41.35,41.54 | | vase | 32.36,32.36,32.31,32.31,32.31,32.31,32.3,32.34,32.29,32.35,32.3 | | traffic light | 26.55,26.6,26.57,26.61,26.34,26.4,26.48,26.51,26.51,26.5,26.45 | | tray | 4.99,5.01,5.14,5.18,5.34,5.36,5.56,5.55,5.52,5.65,5.76 | | ashcan | 42.82,42.84,42.91,43.07,42.98,43.13,43.15,43.26,43.29,43.34,43.31 | | fan | 57.6,57.49,57.63,57.55,57.35,57.21,57.22,57.21,57.01,57.04,57.32 | | pier | 22.16,22.35,22.34,22.65,22.55,22.64,22.72,22.89,22.76,22.86,23.02 | | crt screen | 4.19,4.27,4.33,4.47,4.17,4.18,4.17,4.16,4.26,4.28,5.03 | | plate | 40.63,40.76,40.94,41.01,40.91,40.96,41.03,40.96,41.05,41.11,41.03 | | monitor | 61.63,61.74,61.79,61.81,61.66,61.87,61.96,61.92,61.95,62.1,62.01 | | bulletin board | 35.57,35.47,35.62,35.63,35.69,35.68,35.82,35.84,35.88,35.97,36.12 | | shower | 1.04,1.04,1.08,1.13,1.12,1.16,1.14,1.15,1.18,1.2,1.23 | | radiator | 41.63,41.53,41.57,41.65,41.56,41.64,41.62,41.61,41.49,41.36,41.46 | | glass | 10.08,10.06,10.03,9.97,9.95,9.91,9.86,9.85,9.75,9.78,9.79 | | clock | 18.39,18.25,18.19,18.3,18.18,18.26,18.17,18.2,18.24,18.1,18.2 | | flag | 39.68,39.57,39.58,39.58,39.6,39.56,39.6,39.56,39.71,39.69,39.48 | +---------------------+-------------------------------------------------------------------+ 2023-03-03 23:27:09,570 - mmseg - INFO - Summary: 2023-03-03 23:27:09,571 - mmseg - INFO - +-------------------------------------------------------------------+ | mIoU 0,10,20,30,40,50,60,70,80,90,99 | +-------------------------------------------------------------------+ | 45.15,45.14,45.15,45.17,45.16,45.16,45.16,45.16,45.16,45.15,45.15 | +-------------------------------------------------------------------+ 2023-03-03 23:27:09,618 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune/best_mIoU_iter_16000.pth was removed 2023-03-03 23:27:10,880 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_32000.pth. 2023-03-03 23:27:10,881 - mmseg - INFO - Best mIoU is 0.4515 at 32000 iter. 2023-03-03 23:27:10,881 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-03 23:27:10,881 - mmseg - INFO - Iter(val) [250] mIoU: [0.4515, 0.4514, 0.4515, 0.4517, 0.4516, 0.4516, 0.4516, 0.4516, 0.4516, 0.4515, 0.4515], copy_paste: 45.15,45.14,45.15,45.17,45.16,45.16,45.16,45.16,45.16,45.15,45.15 2023-03-03 23:27:10,887 - mmseg - INFO - Swap parameters (before train) before iter [32001] 2023-03-03 23:27:22,869 - mmseg - INFO - Iter [32050/160000] lr: 7.500e-05, eta: 10:22:58, time: 13.302, data_time: 13.070, memory: 67409, decode.loss_ce: 0.2156, decode.acc_seg: 91.4174, loss: 0.2156 2023-03-03 23:27:34,681 - mmseg - INFO - Iter [32100/160000] lr: 7.500e-05, eta: 10:22:32, time: 0.236, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2133, decode.acc_seg: 91.5666, loss: 0.2133 2023-03-03 23:27:46,576 - mmseg - INFO - Iter [32150/160000] lr: 7.500e-05, eta: 10:22:06, time: 0.238, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2125, decode.acc_seg: 91.6102, loss: 0.2125 2023-03-03 23:28:00,763 - mmseg - INFO - Iter [32200/160000] lr: 7.500e-05, eta: 10:21:50, time: 0.284, data_time: 0.057, memory: 67409, decode.loss_ce: 0.2082, decode.acc_seg: 91.5574, loss: 0.2082 2023-03-03 23:28:12,440 - mmseg - INFO - Iter [32250/160000] lr: 7.500e-05, eta: 10:21:24, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2162, decode.acc_seg: 91.3290, loss: 0.2162 2023-03-03 23:28:24,009 - mmseg - INFO - Iter [32300/160000] lr: 7.500e-05, eta: 10:20:58, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2090, decode.acc_seg: 91.7249, loss: 0.2090 2023-03-03 23:28:35,618 - mmseg - INFO - Iter [32350/160000] lr: 7.500e-05, eta: 10:20:31, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2074, decode.acc_seg: 91.6717, loss: 0.2074 2023-03-03 23:28:47,388 - mmseg - INFO - Iter [32400/160000] lr: 7.500e-05, eta: 10:20:06, time: 0.235, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2099, decode.acc_seg: 91.5239, loss: 0.2099 2023-03-03 23:28:58,880 - mmseg - INFO - Iter [32450/160000] lr: 7.500e-05, eta: 10:19:39, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2147, decode.acc_seg: 91.4679, loss: 0.2147 2023-03-03 23:29:10,433 - mmseg - INFO - Iter [32500/160000] lr: 7.500e-05, eta: 10:19:12, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2210, decode.acc_seg: 91.1519, loss: 0.2210 2023-03-03 23:29:21,915 - mmseg - INFO - Iter [32550/160000] lr: 7.500e-05, eta: 10:18:46, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2169, decode.acc_seg: 91.4597, loss: 0.2169 2023-03-03 23:29:33,424 - mmseg - INFO - Iter [32600/160000] lr: 7.500e-05, eta: 10:18:19, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2187, decode.acc_seg: 91.3821, loss: 0.2187 2023-03-03 23:29:44,923 - mmseg - INFO - Iter [32650/160000] lr: 7.500e-05, eta: 10:17:53, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2126, decode.acc_seg: 91.4619, loss: 0.2126 2023-03-03 23:29:56,562 - mmseg - INFO - Iter [32700/160000] lr: 7.500e-05, eta: 10:17:27, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2100, decode.acc_seg: 91.6028, loss: 0.2100 2023-03-03 23:30:08,127 - mmseg - INFO - Iter [32750/160000] lr: 7.500e-05, eta: 10:17:01, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2158, decode.acc_seg: 91.4888, loss: 0.2158 2023-03-03 23:30:19,817 - mmseg - INFO - Iter [32800/160000] lr: 7.500e-05, eta: 10:16:35, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2055, decode.acc_seg: 91.7098, loss: 0.2055 2023-03-03 23:30:33,813 - mmseg - INFO - Iter [32850/160000] lr: 7.500e-05, eta: 10:16:18, time: 0.280, data_time: 0.056, memory: 67409, decode.loss_ce: 0.2075, decode.acc_seg: 91.7297, loss: 0.2075 2023-03-03 23:30:45,354 - mmseg - INFO - Iter [32900/160000] lr: 7.500e-05, eta: 10:15:52, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2163, decode.acc_seg: 91.3465, loss: 0.2163 2023-03-03 23:30:56,883 - mmseg - INFO - Iter [32950/160000] lr: 7.500e-05, eta: 10:15:26, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2089, decode.acc_seg: 91.6003, loss: 0.2089 2023-03-03 23:31:08,565 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-03 23:31:08,565 - mmseg - INFO - Iter [33000/160000] lr: 7.500e-05, eta: 10:15:01, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2248, decode.acc_seg: 91.1339, loss: 0.2248 2023-03-03 23:31:20,198 - mmseg - INFO - Iter [33050/160000] lr: 7.500e-05, eta: 10:14:35, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2108, decode.acc_seg: 91.7127, loss: 0.2108 2023-03-03 23:31:31,665 - mmseg - INFO - Iter [33100/160000] lr: 7.500e-05, eta: 10:14:09, time: 0.230, data_time: 0.008, memory: 67409, decode.loss_ce: 0.2055, decode.acc_seg: 91.8074, loss: 0.2055 2023-03-03 23:31:43,396 - mmseg - INFO - Iter [33150/160000] lr: 7.500e-05, eta: 10:13:43, time: 0.235, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2123, decode.acc_seg: 91.4925, loss: 0.2123 2023-03-03 23:31:54,839 - mmseg - INFO - Iter [33200/160000] lr: 7.500e-05, eta: 10:13:17, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2126, decode.acc_seg: 91.5421, loss: 0.2126 2023-03-03 23:32:06,405 - mmseg - INFO - Iter [33250/160000] lr: 7.500e-05, eta: 10:12:51, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2235, decode.acc_seg: 91.1679, loss: 0.2235 2023-03-03 23:32:18,085 - mmseg - INFO - Iter [33300/160000] lr: 7.500e-05, eta: 10:12:26, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2190, decode.acc_seg: 91.2809, loss: 0.2190 2023-03-03 23:32:29,772 - mmseg - INFO - Iter [33350/160000] lr: 7.500e-05, eta: 10:12:01, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2242, decode.acc_seg: 91.1066, loss: 0.2242 2023-03-03 23:32:41,300 - mmseg - INFO - Iter [33400/160000] lr: 7.500e-05, eta: 10:11:35, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2109, decode.acc_seg: 91.5562, loss: 0.2109 2023-03-03 23:32:55,306 - mmseg - INFO - Iter [33450/160000] lr: 7.500e-05, eta: 10:11:19, time: 0.280, data_time: 0.055, memory: 67409, decode.loss_ce: 0.2125, decode.acc_seg: 91.5007, loss: 0.2125 2023-03-03 23:33:06,924 - mmseg - INFO - Iter [33500/160000] lr: 7.500e-05, eta: 10:10:54, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2101, decode.acc_seg: 91.5505, loss: 0.2101 2023-03-03 23:33:18,535 - mmseg - INFO - Iter [33550/160000] lr: 7.500e-05, eta: 10:10:28, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2148, decode.acc_seg: 91.4004, loss: 0.2148 2023-03-03 23:33:30,008 - mmseg - INFO - Iter [33600/160000] lr: 7.500e-05, eta: 10:10:02, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2112, decode.acc_seg: 91.6203, loss: 0.2112 2023-03-03 23:33:41,603 - mmseg - INFO - Iter [33650/160000] lr: 7.500e-05, eta: 10:09:37, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2058, decode.acc_seg: 91.8236, loss: 0.2058 2023-03-03 23:33:53,084 - mmseg - INFO - Iter [33700/160000] lr: 7.500e-05, eta: 10:09:11, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2145, decode.acc_seg: 91.5007, loss: 0.2145 2023-03-03 23:34:04,547 - mmseg - INFO - Iter [33750/160000] lr: 7.500e-05, eta: 10:08:46, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2154, decode.acc_seg: 91.6117, loss: 0.2154 2023-03-03 23:34:16,249 - mmseg - INFO - Iter [33800/160000] lr: 7.500e-05, eta: 10:08:21, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2047, decode.acc_seg: 91.7561, loss: 0.2047 2023-03-03 23:34:27,791 - mmseg - INFO - Iter [33850/160000] lr: 7.500e-05, eta: 10:07:56, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2194, decode.acc_seg: 91.3269, loss: 0.2194 2023-03-03 23:34:39,220 - mmseg - INFO - Iter [33900/160000] lr: 7.500e-05, eta: 10:07:30, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2121, decode.acc_seg: 91.6910, loss: 0.2121 2023-03-03 23:34:50,761 - mmseg - INFO - Iter [33950/160000] lr: 7.500e-05, eta: 10:07:05, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2098, decode.acc_seg: 91.7385, loss: 0.2098 2023-03-03 23:35:02,264 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-03 23:35:02,265 - mmseg - INFO - Iter [34000/160000] lr: 7.500e-05, eta: 10:06:39, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2116, decode.acc_seg: 91.6571, loss: 0.2116 2023-03-03 23:35:13,757 - mmseg - INFO - Iter [34050/160000] lr: 7.500e-05, eta: 10:06:14, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2136, decode.acc_seg: 91.4275, loss: 0.2136 2023-03-03 23:35:27,662 - mmseg - INFO - Iter [34100/160000] lr: 7.500e-05, eta: 10:05:57, time: 0.278, data_time: 0.050, memory: 67409, decode.loss_ce: 0.2146, decode.acc_seg: 91.4196, loss: 0.2146 2023-03-03 23:35:39,112 - mmseg - INFO - Iter [34150/160000] lr: 7.500e-05, eta: 10:05:32, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2147, decode.acc_seg: 91.5202, loss: 0.2147 2023-03-03 23:35:50,559 - mmseg - INFO - Iter [34200/160000] lr: 7.500e-05, eta: 10:05:07, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2155, decode.acc_seg: 91.4223, loss: 0.2155 2023-03-03 23:36:02,068 - mmseg - INFO - Iter [34250/160000] lr: 7.500e-05, eta: 10:04:41, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2174, decode.acc_seg: 91.4675, loss: 0.2174 2023-03-03 23:36:13,530 - mmseg - INFO - Iter [34300/160000] lr: 7.500e-05, eta: 10:04:16, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2148, decode.acc_seg: 91.5133, loss: 0.2148 2023-03-03 23:36:24,998 - mmseg - INFO - Iter [34350/160000] lr: 7.500e-05, eta: 10:03:51, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2177, decode.acc_seg: 91.2628, loss: 0.2177 2023-03-03 23:36:36,542 - mmseg - INFO - Iter [34400/160000] lr: 7.500e-05, eta: 10:03:26, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2103, decode.acc_seg: 91.7455, loss: 0.2103 2023-03-03 23:36:48,001 - mmseg - INFO - Iter [34450/160000] lr: 7.500e-05, eta: 10:03:01, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2125, decode.acc_seg: 91.5406, loss: 0.2125 2023-03-03 23:36:59,575 - mmseg - INFO - Iter [34500/160000] lr: 7.500e-05, eta: 10:02:36, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2197, decode.acc_seg: 91.3798, loss: 0.2197 2023-03-03 23:37:11,004 - mmseg - INFO - Iter [34550/160000] lr: 7.500e-05, eta: 10:02:11, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2169, decode.acc_seg: 91.3182, loss: 0.2169 2023-03-03 23:37:22,538 - mmseg - INFO - Iter [34600/160000] lr: 7.500e-05, eta: 10:01:46, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2121, decode.acc_seg: 91.6515, loss: 0.2121 2023-03-03 23:37:34,023 - mmseg - INFO - Iter [34650/160000] lr: 7.500e-05, eta: 10:01:21, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1995, decode.acc_seg: 91.9056, loss: 0.1995 2023-03-03 23:37:45,512 - mmseg - INFO - Iter [34700/160000] lr: 7.500e-05, eta: 10:00:56, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2115, decode.acc_seg: 91.5256, loss: 0.2115 2023-03-03 23:37:59,542 - mmseg - INFO - Iter [34750/160000] lr: 7.500e-05, eta: 10:00:41, time: 0.281, data_time: 0.057, memory: 67409, decode.loss_ce: 0.2114, decode.acc_seg: 91.5205, loss: 0.2114 2023-03-03 23:38:11,299 - mmseg - INFO - Iter [34800/160000] lr: 7.500e-05, eta: 10:00:17, time: 0.235, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2146, decode.acc_seg: 91.4859, loss: 0.2146 2023-03-03 23:38:22,914 - mmseg - INFO - Iter [34850/160000] lr: 7.500e-05, eta: 9:59:52, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2126, decode.acc_seg: 91.5289, loss: 0.2126 2023-03-03 23:38:34,546 - mmseg - INFO - Iter [34900/160000] lr: 7.500e-05, eta: 9:59:28, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2132, decode.acc_seg: 91.4960, loss: 0.2132 2023-03-03 23:38:46,099 - mmseg - INFO - Iter [34950/160000] lr: 7.500e-05, eta: 9:59:04, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2033, decode.acc_seg: 91.8273, loss: 0.2033 2023-03-03 23:38:57,743 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-03 23:38:57,743 - mmseg - INFO - Iter [35000/160000] lr: 7.500e-05, eta: 9:58:40, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2103, decode.acc_seg: 91.4569, loss: 0.2103 2023-03-03 23:39:09,499 - mmseg - INFO - Iter [35050/160000] lr: 7.500e-05, eta: 9:58:16, time: 0.235, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2139, decode.acc_seg: 91.6066, loss: 0.2139 2023-03-03 23:39:21,163 - mmseg - INFO - Iter [35100/160000] lr: 7.500e-05, eta: 9:57:52, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2152, decode.acc_seg: 91.3906, loss: 0.2152 2023-03-03 23:39:32,638 - mmseg - INFO - Iter [35150/160000] lr: 7.500e-05, eta: 9:57:27, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2093, decode.acc_seg: 91.7177, loss: 0.2093 2023-03-03 23:39:44,049 - mmseg - INFO - Iter [35200/160000] lr: 7.500e-05, eta: 9:57:03, time: 0.228, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2131, decode.acc_seg: 91.6247, loss: 0.2131 2023-03-03 23:39:55,779 - mmseg - INFO - Iter [35250/160000] lr: 7.500e-05, eta: 9:56:39, time: 0.235, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2051, decode.acc_seg: 91.8264, loss: 0.2051 2023-03-03 23:40:07,505 - mmseg - INFO - Iter [35300/160000] lr: 7.500e-05, eta: 9:56:15, time: 0.235, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2219, decode.acc_seg: 91.2871, loss: 0.2219 2023-03-03 23:40:21,522 - mmseg - INFO - Iter [35350/160000] lr: 7.500e-05, eta: 9:56:00, time: 0.280, data_time: 0.054, memory: 67409, decode.loss_ce: 0.2127, decode.acc_seg: 91.3888, loss: 0.2127 2023-03-03 23:40:32,996 - mmseg - INFO - Iter [35400/160000] lr: 7.500e-05, eta: 9:55:35, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2121, decode.acc_seg: 91.4284, loss: 0.2121 2023-03-03 23:40:44,454 - mmseg - INFO - Iter [35450/160000] lr: 7.500e-05, eta: 9:55:11, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2057, decode.acc_seg: 91.6794, loss: 0.2057 2023-03-03 23:40:55,946 - mmseg - INFO - Iter [35500/160000] lr: 7.500e-05, eta: 9:54:47, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2218, decode.acc_seg: 91.1341, loss: 0.2218 2023-03-03 23:41:07,502 - mmseg - INFO - Iter [35550/160000] lr: 7.500e-05, eta: 9:54:23, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2053, decode.acc_seg: 91.6841, loss: 0.2053 2023-03-03 23:41:19,178 - mmseg - INFO - Iter [35600/160000] lr: 7.500e-05, eta: 9:53:59, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2133, decode.acc_seg: 91.4841, loss: 0.2133 2023-03-03 23:41:30,680 - mmseg - INFO - Iter [35650/160000] lr: 7.500e-05, eta: 9:53:35, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2115, decode.acc_seg: 91.3975, loss: 0.2115 2023-03-03 23:41:42,290 - mmseg - INFO - Iter [35700/160000] lr: 7.500e-05, eta: 9:53:11, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2146, decode.acc_seg: 91.5948, loss: 0.2146 2023-03-03 23:41:53,881 - mmseg - INFO - Iter [35750/160000] lr: 7.500e-05, eta: 9:52:47, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2085, decode.acc_seg: 91.6852, loss: 0.2085 2023-03-03 23:42:05,491 - mmseg - INFO - Iter [35800/160000] lr: 7.500e-05, eta: 9:52:23, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2161, decode.acc_seg: 91.3766, loss: 0.2161 2023-03-03 23:42:17,133 - mmseg - INFO - Iter [35850/160000] lr: 7.500e-05, eta: 9:52:00, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2107, decode.acc_seg: 91.7124, loss: 0.2107 2023-03-03 23:42:28,704 - mmseg - INFO - Iter [35900/160000] lr: 7.500e-05, eta: 9:51:36, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2230, decode.acc_seg: 91.1886, loss: 0.2230 2023-03-03 23:42:40,301 - mmseg - INFO - Iter [35950/160000] lr: 7.500e-05, eta: 9:51:13, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2146, decode.acc_seg: 91.4684, loss: 0.2146 2023-03-03 23:42:54,358 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-03 23:42:54,358 - mmseg - INFO - Iter [36000/160000] lr: 7.500e-05, eta: 9:50:57, time: 0.281, data_time: 0.055, memory: 67409, decode.loss_ce: 0.2096, decode.acc_seg: 91.6679, loss: 0.2096 2023-03-03 23:43:06,025 - mmseg - INFO - Iter [36050/160000] lr: 7.500e-05, eta: 9:50:34, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2106, decode.acc_seg: 91.5554, loss: 0.2106 2023-03-03 23:43:17,500 - mmseg - INFO - Iter [36100/160000] lr: 7.500e-05, eta: 9:50:10, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1970, decode.acc_seg: 91.9919, loss: 0.1970 2023-03-03 23:43:28,951 - mmseg - INFO - Iter [36150/160000] lr: 7.500e-05, eta: 9:49:46, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2091, decode.acc_seg: 91.7421, loss: 0.2091 2023-03-03 23:43:40,663 - mmseg - INFO - Iter [36200/160000] lr: 7.500e-05, eta: 9:49:23, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2099, decode.acc_seg: 91.6450, loss: 0.2099 2023-03-03 23:43:52,169 - mmseg - INFO - Iter [36250/160000] lr: 7.500e-05, eta: 9:48:59, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2169, decode.acc_seg: 91.3423, loss: 0.2169 2023-03-03 23:44:03,742 - mmseg - INFO - Iter [36300/160000] lr: 7.500e-05, eta: 9:48:36, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2032, decode.acc_seg: 91.9175, loss: 0.2032 2023-03-03 23:44:15,182 - mmseg - INFO - Iter [36350/160000] lr: 7.500e-05, eta: 9:48:12, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2290, decode.acc_seg: 90.7752, loss: 0.2290 2023-03-03 23:44:26,629 - mmseg - INFO - Iter [36400/160000] lr: 7.500e-05, eta: 9:47:48, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2165, decode.acc_seg: 91.5012, loss: 0.2165 2023-03-03 23:44:38,210 - mmseg - INFO - Iter [36450/160000] lr: 7.500e-05, eta: 9:47:25, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2168, decode.acc_seg: 91.3163, loss: 0.2168 2023-03-03 23:44:49,822 - mmseg - INFO - Iter [36500/160000] lr: 7.500e-05, eta: 9:47:01, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2107, decode.acc_seg: 91.5730, loss: 0.2107 2023-03-03 23:45:01,677 - mmseg - INFO - Iter [36550/160000] lr: 7.500e-05, eta: 9:46:39, time: 0.237, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2149, decode.acc_seg: 91.6057, loss: 0.2149 2023-03-03 23:45:15,699 - mmseg - INFO - Iter [36600/160000] lr: 7.500e-05, eta: 9:46:24, time: 0.280, data_time: 0.053, memory: 67409, decode.loss_ce: 0.2097, decode.acc_seg: 91.5034, loss: 0.2097 2023-03-03 23:45:27,170 - mmseg - INFO - Iter [36650/160000] lr: 7.500e-05, eta: 9:46:00, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2100, decode.acc_seg: 91.5452, loss: 0.2100 2023-03-03 23:45:38,688 - mmseg - INFO - Iter [36700/160000] lr: 7.500e-05, eta: 9:45:37, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2090, decode.acc_seg: 91.6705, loss: 0.2090 2023-03-03 23:45:50,300 - mmseg - INFO - Iter [36750/160000] lr: 7.500e-05, eta: 9:45:14, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2119, decode.acc_seg: 91.7401, loss: 0.2119 2023-03-03 23:46:01,894 - mmseg - INFO - Iter [36800/160000] lr: 7.500e-05, eta: 9:44:51, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2103, decode.acc_seg: 91.6089, loss: 0.2103 2023-03-03 23:46:13,554 - mmseg - INFO - Iter [36850/160000] lr: 7.500e-05, eta: 9:44:28, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2121, decode.acc_seg: 91.5272, loss: 0.2121 2023-03-03 23:46:25,121 - mmseg - INFO - Iter [36900/160000] lr: 7.500e-05, eta: 9:44:05, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2157, decode.acc_seg: 91.4131, loss: 0.2157 2023-03-03 23:46:36,577 - mmseg - INFO - Iter [36950/160000] lr: 7.500e-05, eta: 9:43:41, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2172, decode.acc_seg: 91.3217, loss: 0.2172 2023-03-03 23:46:48,475 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-03 23:46:48,475 - mmseg - INFO - Iter [37000/160000] lr: 7.500e-05, eta: 9:43:19, time: 0.238, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2089, decode.acc_seg: 91.4644, loss: 0.2089 2023-03-03 23:47:00,175 - mmseg - INFO - Iter [37050/160000] lr: 7.500e-05, eta: 9:42:57, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2030, decode.acc_seg: 91.9479, loss: 0.2030 2023-03-03 23:47:11,658 - mmseg - INFO - Iter [37100/160000] lr: 7.500e-05, eta: 9:42:33, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2142, decode.acc_seg: 91.4225, loss: 0.2142 2023-03-03 23:47:23,203 - mmseg - INFO - Iter [37150/160000] lr: 7.500e-05, eta: 9:42:10, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2146, decode.acc_seg: 91.4574, loss: 0.2146 2023-03-03 23:47:34,794 - mmseg - INFO - Iter [37200/160000] lr: 7.500e-05, eta: 9:41:47, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2075, decode.acc_seg: 91.7197, loss: 0.2075 2023-03-03 23:47:48,824 - mmseg - INFO - Iter [37250/160000] lr: 7.500e-05, eta: 9:41:32, time: 0.281, data_time: 0.053, memory: 67409, decode.loss_ce: 0.2135, decode.acc_seg: 91.3806, loss: 0.2135 2023-03-03 23:48:00,483 - mmseg - INFO - Iter [37300/160000] lr: 7.500e-05, eta: 9:41:10, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2090, decode.acc_seg: 91.5970, loss: 0.2090 2023-03-03 23:48:12,199 - mmseg - INFO - Iter [37350/160000] lr: 7.500e-05, eta: 9:40:47, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2127, decode.acc_seg: 91.2944, loss: 0.2127 2023-03-03 23:48:24,053 - mmseg - INFO - Iter [37400/160000] lr: 7.500e-05, eta: 9:40:26, time: 0.237, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2179, decode.acc_seg: 91.2954, loss: 0.2179 2023-03-03 23:48:35,925 - mmseg - INFO - Iter [37450/160000] lr: 7.500e-05, eta: 9:40:04, time: 0.237, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2081, decode.acc_seg: 91.6371, loss: 0.2081 2023-03-03 23:48:47,370 - mmseg - INFO - Iter [37500/160000] lr: 7.500e-05, eta: 9:39:40, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2203, decode.acc_seg: 91.2684, loss: 0.2203 2023-03-03 23:48:59,020 - mmseg - INFO - Iter [37550/160000] lr: 7.500e-05, eta: 9:39:18, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2123, decode.acc_seg: 91.4841, loss: 0.2123 2023-03-03 23:49:10,546 - mmseg - INFO - Iter [37600/160000] lr: 7.500e-05, eta: 9:38:55, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2180, decode.acc_seg: 91.4726, loss: 0.2180 2023-03-03 23:49:22,062 - mmseg - INFO - Iter [37650/160000] lr: 7.500e-05, eta: 9:38:32, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2170, decode.acc_seg: 91.4857, loss: 0.2170 2023-03-03 23:49:33,665 - mmseg - INFO - Iter [37700/160000] lr: 7.500e-05, eta: 9:38:10, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2122, decode.acc_seg: 91.6082, loss: 0.2122 2023-03-03 23:49:45,150 - mmseg - INFO - Iter [37750/160000] lr: 7.500e-05, eta: 9:37:47, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2199, decode.acc_seg: 91.2352, loss: 0.2199 2023-03-03 23:49:56,713 - mmseg - INFO - Iter [37800/160000] lr: 7.500e-05, eta: 9:37:24, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2106, decode.acc_seg: 91.6908, loss: 0.2106 2023-03-03 23:50:08,169 - mmseg - INFO - Iter [37850/160000] lr: 7.500e-05, eta: 9:37:01, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2139, decode.acc_seg: 91.4652, loss: 0.2139 2023-03-03 23:50:22,481 - mmseg - INFO - Iter [37900/160000] lr: 7.500e-05, eta: 9:36:47, time: 0.286, data_time: 0.053, memory: 67409, decode.loss_ce: 0.2064, decode.acc_seg: 91.8260, loss: 0.2064 2023-03-03 23:50:34,013 - mmseg - INFO - Iter [37950/160000] lr: 7.500e-05, eta: 9:36:25, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2124, decode.acc_seg: 91.6010, loss: 0.2124 2023-03-03 23:50:45,712 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-03 23:50:45,712 - mmseg - INFO - Iter [38000/160000] lr: 7.500e-05, eta: 9:36:03, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2106, decode.acc_seg: 91.6184, loss: 0.2106 2023-03-03 23:50:57,494 - mmseg - INFO - Iter [38050/160000] lr: 7.500e-05, eta: 9:35:41, time: 0.236, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2090, decode.acc_seg: 91.5628, loss: 0.2090 2023-03-03 23:51:09,038 - mmseg - INFO - Iter [38100/160000] lr: 7.500e-05, eta: 9:35:18, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2118, decode.acc_seg: 91.5653, loss: 0.2118 2023-03-03 23:51:20,590 - mmseg - INFO - Iter [38150/160000] lr: 7.500e-05, eta: 9:34:56, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2193, decode.acc_seg: 91.3467, loss: 0.2193 2023-03-03 23:51:32,126 - mmseg - INFO - Iter [38200/160000] lr: 7.500e-05, eta: 9:34:33, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2210, decode.acc_seg: 91.2765, loss: 0.2210 2023-03-03 23:51:43,735 - mmseg - INFO - Iter [38250/160000] lr: 7.500e-05, eta: 9:34:11, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2284, decode.acc_seg: 91.0536, loss: 0.2284 2023-03-03 23:51:55,309 - mmseg - INFO - Iter [38300/160000] lr: 7.500e-05, eta: 9:33:49, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2176, decode.acc_seg: 91.3341, loss: 0.2176 2023-03-03 23:52:06,898 - mmseg - INFO - Iter [38350/160000] lr: 7.500e-05, eta: 9:33:27, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2115, decode.acc_seg: 91.5858, loss: 0.2115 2023-03-03 23:52:18,895 - mmseg - INFO - Iter [38400/160000] lr: 7.500e-05, eta: 9:33:06, time: 0.240, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2024, decode.acc_seg: 92.0040, loss: 0.2024 2023-03-03 23:52:30,344 - mmseg - INFO - Iter [38450/160000] lr: 7.500e-05, eta: 9:32:43, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2167, decode.acc_seg: 91.5576, loss: 0.2167 2023-03-03 23:52:44,435 - mmseg - INFO - Iter [38500/160000] lr: 7.500e-05, eta: 9:32:29, time: 0.282, data_time: 0.055, memory: 67409, decode.loss_ce: 0.2081, decode.acc_seg: 91.7693, loss: 0.2081 2023-03-03 23:52:56,138 - mmseg - INFO - Iter [38550/160000] lr: 7.500e-05, eta: 9:32:07, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2140, decode.acc_seg: 91.4319, loss: 0.2140 2023-03-03 23:53:07,719 - mmseg - INFO - Iter [38600/160000] lr: 7.500e-05, eta: 9:31:45, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2238, decode.acc_seg: 91.1153, loss: 0.2238 2023-03-03 23:53:19,468 - mmseg - INFO - Iter [38650/160000] lr: 7.500e-05, eta: 9:31:23, time: 0.235, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2129, decode.acc_seg: 91.5800, loss: 0.2129 2023-03-03 23:53:31,076 - mmseg - INFO - Iter [38700/160000] lr: 7.500e-05, eta: 9:31:01, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2040, decode.acc_seg: 91.7857, loss: 0.2040 2023-03-03 23:53:42,649 - mmseg - INFO - Iter [38750/160000] lr: 7.500e-05, eta: 9:30:39, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2170, decode.acc_seg: 91.4929, loss: 0.2170 2023-03-03 23:53:54,095 - mmseg - INFO - Iter [38800/160000] lr: 7.500e-05, eta: 9:30:16, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2073, decode.acc_seg: 91.7749, loss: 0.2073 2023-03-03 23:54:05,688 - mmseg - INFO - Iter [38850/160000] lr: 7.500e-05, eta: 9:29:55, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2039, decode.acc_seg: 91.8246, loss: 0.2039 2023-03-03 23:54:17,088 - mmseg - INFO - Iter [38900/160000] lr: 7.500e-05, eta: 9:29:32, time: 0.228, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2103, decode.acc_seg: 91.4999, loss: 0.2103 2023-03-03 23:54:28,955 - mmseg - INFO - Iter [38950/160000] lr: 7.500e-05, eta: 9:29:11, time: 0.237, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2213, decode.acc_seg: 91.3175, loss: 0.2213 2023-03-03 23:54:40,755 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-03 23:54:40,755 - mmseg - INFO - Iter [39000/160000] lr: 7.500e-05, eta: 9:28:50, time: 0.236, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2183, decode.acc_seg: 91.4445, loss: 0.2183 2023-03-03 23:54:52,392 - mmseg - INFO - Iter [39050/160000] lr: 7.500e-05, eta: 9:28:28, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2111, decode.acc_seg: 91.7431, loss: 0.2111 2023-03-03 23:55:03,940 - mmseg - INFO - Iter [39100/160000] lr: 7.500e-05, eta: 9:28:06, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2223, decode.acc_seg: 91.2070, loss: 0.2223 2023-03-03 23:55:18,141 - mmseg - INFO - Iter [39150/160000] lr: 7.500e-05, eta: 9:27:52, time: 0.284, data_time: 0.056, memory: 67409, decode.loss_ce: 0.2118, decode.acc_seg: 91.6465, loss: 0.2118 2023-03-03 23:55:29,680 - mmseg - INFO - Iter [39200/160000] lr: 7.500e-05, eta: 9:27:30, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2013, decode.acc_seg: 91.9156, loss: 0.2013 2023-03-03 23:55:41,301 - mmseg - INFO - Iter [39250/160000] lr: 7.500e-05, eta: 9:27:08, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2188, decode.acc_seg: 91.3445, loss: 0.2188 2023-03-03 23:55:52,901 - mmseg - INFO - Iter [39300/160000] lr: 7.500e-05, eta: 9:26:47, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2135, decode.acc_seg: 91.4409, loss: 0.2135 2023-03-03 23:56:04,460 - mmseg - INFO - Iter [39350/160000] lr: 7.500e-05, eta: 9:26:25, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2117, decode.acc_seg: 91.6406, loss: 0.2117 2023-03-03 23:56:16,039 - mmseg - INFO - Iter [39400/160000] lr: 7.500e-05, eta: 9:26:03, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2111, decode.acc_seg: 91.5632, loss: 0.2111 2023-03-03 23:56:27,559 - mmseg - INFO - Iter [39450/160000] lr: 7.500e-05, eta: 9:25:41, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2131, decode.acc_seg: 91.5599, loss: 0.2131 2023-03-03 23:56:39,161 - mmseg - INFO - Iter [39500/160000] lr: 7.500e-05, eta: 9:25:20, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2107, decode.acc_seg: 91.6059, loss: 0.2107 2023-03-03 23:56:51,112 - mmseg - INFO - Iter [39550/160000] lr: 7.500e-05, eta: 9:24:59, time: 0.239, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2096, decode.acc_seg: 91.5968, loss: 0.2096 2023-03-03 23:57:02,669 - mmseg - INFO - Iter [39600/160000] lr: 7.500e-05, eta: 9:24:37, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2182, decode.acc_seg: 91.4138, loss: 0.2182 2023-03-03 23:57:14,138 - mmseg - INFO - Iter [39650/160000] lr: 7.500e-05, eta: 9:24:15, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2200, decode.acc_seg: 91.2972, loss: 0.2200 2023-03-03 23:57:25,616 - mmseg - INFO - Iter [39700/160000] lr: 7.500e-05, eta: 9:23:53, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2119, decode.acc_seg: 91.5159, loss: 0.2119 2023-03-03 23:57:37,058 - mmseg - INFO - Iter [39750/160000] lr: 7.500e-05, eta: 9:23:31, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2155, decode.acc_seg: 91.4115, loss: 0.2155 2023-03-03 23:57:51,343 - mmseg - INFO - Iter [39800/160000] lr: 7.500e-05, eta: 9:23:18, time: 0.285, data_time: 0.054, memory: 67409, decode.loss_ce: 0.2087, decode.acc_seg: 91.5632, loss: 0.2087 2023-03-03 23:58:02,918 - mmseg - INFO - Iter [39850/160000] lr: 7.500e-05, eta: 9:22:56, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2214, decode.acc_seg: 91.2455, loss: 0.2214 2023-03-03 23:58:14,711 - mmseg - INFO - Iter [39900/160000] lr: 7.500e-05, eta: 9:22:36, time: 0.236, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2102, decode.acc_seg: 91.7147, loss: 0.2102 2023-03-03 23:58:26,304 - mmseg - INFO - Iter [39950/160000] lr: 7.500e-05, eta: 9:22:14, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2110, decode.acc_seg: 91.4257, loss: 0.2110 2023-03-03 23:58:37,866 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-03 23:58:37,866 - mmseg - INFO - Iter [40000/160000] lr: 7.500e-05, eta: 9:21:53, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2149, decode.acc_seg: 91.4098, loss: 0.2149 2023-03-03 23:58:49,319 - mmseg - INFO - Iter [40050/160000] lr: 3.750e-05, eta: 9:21:31, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2098, decode.acc_seg: 91.6126, loss: 0.2098 2023-03-03 23:59:00,873 - mmseg - INFO - Iter [40100/160000] lr: 3.750e-05, eta: 9:21:09, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2027, decode.acc_seg: 91.7714, loss: 0.2027 2023-03-03 23:59:12,529 - mmseg - INFO - Iter [40150/160000] lr: 3.750e-05, eta: 9:20:48, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2118, decode.acc_seg: 91.4694, loss: 0.2118 2023-03-03 23:59:23,985 - mmseg - INFO - Iter [40200/160000] lr: 3.750e-05, eta: 9:20:26, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2079, decode.acc_seg: 91.6012, loss: 0.2079 2023-03-03 23:59:35,509 - mmseg - INFO - Iter [40250/160000] lr: 3.750e-05, eta: 9:20:05, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2022, decode.acc_seg: 91.8875, loss: 0.2022 2023-03-03 23:59:47,082 - mmseg - INFO - Iter [40300/160000] lr: 3.750e-05, eta: 9:19:44, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2057, decode.acc_seg: 91.7165, loss: 0.2057 2023-03-03 23:59:58,656 - mmseg - INFO - Iter [40350/160000] lr: 3.750e-05, eta: 9:19:22, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2108, decode.acc_seg: 91.6829, loss: 0.2108 2023-03-04 00:00:12,617 - mmseg - INFO - Iter [40400/160000] lr: 3.750e-05, eta: 9:19:08, time: 0.279, data_time: 0.051, memory: 67409, decode.loss_ce: 0.2069, decode.acc_seg: 91.7258, loss: 0.2069 2023-03-04 00:00:24,269 - mmseg - INFO - Iter [40450/160000] lr: 3.750e-05, eta: 9:18:47, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2177, decode.acc_seg: 91.3443, loss: 0.2177 2023-03-04 00:00:35,900 - mmseg - INFO - Iter [40500/160000] lr: 3.750e-05, eta: 9:18:26, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2063, decode.acc_seg: 91.9963, loss: 0.2063 2023-03-04 00:00:47,502 - mmseg - INFO - Iter [40550/160000] lr: 3.750e-05, eta: 9:18:05, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2053, decode.acc_seg: 91.7742, loss: 0.2053 2023-03-04 00:00:59,000 - mmseg - INFO - Iter [40600/160000] lr: 3.750e-05, eta: 9:17:43, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2030, decode.acc_seg: 91.9432, loss: 0.2030 2023-03-04 00:01:10,526 - mmseg - INFO - Iter [40650/160000] lr: 3.750e-05, eta: 9:17:22, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2026, decode.acc_seg: 91.8041, loss: 0.2026 2023-03-04 00:01:22,186 - mmseg - INFO - Iter [40700/160000] lr: 3.750e-05, eta: 9:17:01, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2086, decode.acc_seg: 91.5578, loss: 0.2086 2023-03-04 00:01:33,690 - mmseg - INFO - Iter [40750/160000] lr: 3.750e-05, eta: 9:16:40, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2031, decode.acc_seg: 91.7967, loss: 0.2031 2023-03-04 00:01:45,203 - mmseg - INFO - Iter [40800/160000] lr: 3.750e-05, eta: 9:16:19, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2169, decode.acc_seg: 91.5805, loss: 0.2169 2023-03-04 00:01:56,694 - mmseg - INFO - Iter [40850/160000] lr: 3.750e-05, eta: 9:15:57, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2046, decode.acc_seg: 91.7685, loss: 0.2046 2023-03-04 00:02:08,239 - mmseg - INFO - Iter [40900/160000] lr: 3.750e-05, eta: 9:15:36, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2093, decode.acc_seg: 91.6281, loss: 0.2093 2023-03-04 00:02:19,731 - mmseg - INFO - Iter [40950/160000] lr: 3.750e-05, eta: 9:15:15, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2000, decode.acc_seg: 91.9794, loss: 0.2000 2023-03-04 00:02:31,306 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 00:02:31,306 - mmseg - INFO - Iter [41000/160000] lr: 3.750e-05, eta: 9:14:54, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2081, decode.acc_seg: 91.7528, loss: 0.2081 2023-03-04 00:02:45,487 - mmseg - INFO - Iter [41050/160000] lr: 3.750e-05, eta: 9:14:40, time: 0.284, data_time: 0.056, memory: 67409, decode.loss_ce: 0.2064, decode.acc_seg: 91.7310, loss: 0.2064 2023-03-04 00:02:57,272 - mmseg - INFO - Iter [41100/160000] lr: 3.750e-05, eta: 9:14:20, time: 0.236, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2037, decode.acc_seg: 91.7974, loss: 0.2037 2023-03-04 00:03:08,870 - mmseg - INFO - Iter [41150/160000] lr: 3.750e-05, eta: 9:13:59, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1921, decode.acc_seg: 92.2290, loss: 0.1921 2023-03-04 00:03:20,517 - mmseg - INFO - Iter [41200/160000] lr: 3.750e-05, eta: 9:13:38, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2109, decode.acc_seg: 91.4435, loss: 0.2109 2023-03-04 00:03:32,091 - mmseg - INFO - Iter [41250/160000] lr: 3.750e-05, eta: 9:13:18, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2131, decode.acc_seg: 91.4738, loss: 0.2131 2023-03-04 00:03:43,779 - mmseg - INFO - Iter [41300/160000] lr: 3.750e-05, eta: 9:12:57, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2042, decode.acc_seg: 91.8413, loss: 0.2042 2023-03-04 00:03:55,352 - mmseg - INFO - Iter [41350/160000] lr: 3.750e-05, eta: 9:12:36, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2102, decode.acc_seg: 91.5501, loss: 0.2102 2023-03-04 00:04:07,102 - mmseg - INFO - Iter [41400/160000] lr: 3.750e-05, eta: 9:12:16, time: 0.235, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2146, decode.acc_seg: 91.5676, loss: 0.2146 2023-03-04 00:04:18,565 - mmseg - INFO - Iter [41450/160000] lr: 3.750e-05, eta: 9:11:55, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2128, decode.acc_seg: 91.6510, loss: 0.2128 2023-03-04 00:04:30,143 - mmseg - INFO - Iter [41500/160000] lr: 3.750e-05, eta: 9:11:34, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2058, decode.acc_seg: 91.8107, loss: 0.2058 2023-03-04 00:04:41,868 - mmseg - INFO - Iter [41550/160000] lr: 3.750e-05, eta: 9:11:13, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2036, decode.acc_seg: 91.8534, loss: 0.2036 2023-03-04 00:04:53,487 - mmseg - INFO - Iter [41600/160000] lr: 3.750e-05, eta: 9:10:53, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2097, decode.acc_seg: 91.4915, loss: 0.2097 2023-03-04 00:05:07,578 - mmseg - INFO - Iter [41650/160000] lr: 3.750e-05, eta: 9:10:39, time: 0.282, data_time: 0.056, memory: 67409, decode.loss_ce: 0.2129, decode.acc_seg: 91.4187, loss: 0.2129 2023-03-04 00:05:19,203 - mmseg - INFO - Iter [41700/160000] lr: 3.750e-05, eta: 9:10:19, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2049, decode.acc_seg: 91.7092, loss: 0.2049 2023-03-04 00:05:30,755 - mmseg - INFO - Iter [41750/160000] lr: 3.750e-05, eta: 9:09:58, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2083, decode.acc_seg: 91.6785, loss: 0.2083 2023-03-04 00:05:42,356 - mmseg - INFO - Iter [41800/160000] lr: 3.750e-05, eta: 9:09:37, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2082, decode.acc_seg: 91.6965, loss: 0.2082 2023-03-04 00:05:54,007 - mmseg - INFO - Iter [41850/160000] lr: 3.750e-05, eta: 9:09:17, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2110, decode.acc_seg: 91.6232, loss: 0.2110 2023-03-04 00:06:05,621 - mmseg - INFO - Iter [41900/160000] lr: 3.750e-05, eta: 9:08:56, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2135, decode.acc_seg: 91.5695, loss: 0.2135 2023-03-04 00:06:17,569 - mmseg - INFO - Iter [41950/160000] lr: 3.750e-05, eta: 9:08:37, time: 0.239, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2077, decode.acc_seg: 91.6550, loss: 0.2077 2023-03-04 00:06:29,202 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 00:06:29,202 - mmseg - INFO - Iter [42000/160000] lr: 3.750e-05, eta: 9:08:16, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2013, decode.acc_seg: 91.8393, loss: 0.2013 2023-03-04 00:06:40,669 - mmseg - INFO - Iter [42050/160000] lr: 3.750e-05, eta: 9:07:55, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2043, decode.acc_seg: 91.8282, loss: 0.2043 2023-03-04 00:06:52,348 - mmseg - INFO - Iter [42100/160000] lr: 3.750e-05, eta: 9:07:35, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2026, decode.acc_seg: 91.7230, loss: 0.2026 2023-03-04 00:07:04,047 - mmseg - INFO - Iter [42150/160000] lr: 3.750e-05, eta: 9:07:15, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2113, decode.acc_seg: 91.6061, loss: 0.2113 2023-03-04 00:07:15,591 - mmseg - INFO - Iter [42200/160000] lr: 3.750e-05, eta: 9:06:54, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2109, decode.acc_seg: 91.7267, loss: 0.2109 2023-03-04 00:07:27,126 - mmseg - INFO - Iter [42250/160000] lr: 3.750e-05, eta: 9:06:34, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2141, decode.acc_seg: 91.3896, loss: 0.2141 2023-03-04 00:07:41,208 - mmseg - INFO - Iter [42300/160000] lr: 3.750e-05, eta: 9:06:20, time: 0.282, data_time: 0.056, memory: 67409, decode.loss_ce: 0.2002, decode.acc_seg: 91.9873, loss: 0.2002 2023-03-04 00:07:52,675 - mmseg - INFO - Iter [42350/160000] lr: 3.750e-05, eta: 9:06:00, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2062, decode.acc_seg: 91.7678, loss: 0.2062 2023-03-04 00:08:04,329 - mmseg - INFO - Iter [42400/160000] lr: 3.750e-05, eta: 9:05:39, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2067, decode.acc_seg: 91.7251, loss: 0.2067 2023-03-04 00:08:15,870 - mmseg - INFO - Iter [42450/160000] lr: 3.750e-05, eta: 9:05:19, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2054, decode.acc_seg: 91.6425, loss: 0.2054 2023-03-04 00:08:27,366 - mmseg - INFO - Iter [42500/160000] lr: 3.750e-05, eta: 9:04:58, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2126, decode.acc_seg: 91.5254, loss: 0.2126 2023-03-04 00:08:38,866 - mmseg - INFO - Iter [42550/160000] lr: 3.750e-05, eta: 9:04:38, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2102, decode.acc_seg: 91.5855, loss: 0.2102 2023-03-04 00:08:50,412 - mmseg - INFO - Iter [42600/160000] lr: 3.750e-05, eta: 9:04:17, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2112, decode.acc_seg: 91.5358, loss: 0.2112 2023-03-04 00:09:01,911 - mmseg - INFO - Iter 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[42900/160000] lr: 3.750e-05, eta: 9:02:17, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2029, decode.acc_seg: 91.8320, loss: 0.2029 2023-03-04 00:10:14,531 - mmseg - INFO - Iter [42950/160000] lr: 3.750e-05, eta: 9:02:04, time: 0.285, data_time: 0.053, memory: 67409, decode.loss_ce: 0.1978, decode.acc_seg: 91.8840, loss: 0.1978 2023-03-04 00:10:26,220 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 00:10:26,220 - mmseg - INFO - Iter [43000/160000] lr: 3.750e-05, eta: 9:01:44, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2126, decode.acc_seg: 91.4990, loss: 0.2126 2023-03-04 00:10:37,792 - mmseg - INFO - Iter [43050/160000] lr: 3.750e-05, eta: 9:01:24, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2071, decode.acc_seg: 91.5944, loss: 0.2071 2023-03-04 00:10:49,399 - mmseg - INFO - Iter [43100/160000] lr: 3.750e-05, eta: 9:01:04, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2110, decode.acc_seg: 91.6107, loss: 0.2110 2023-03-04 00:11:00,934 - mmseg - INFO - Iter [43150/160000] lr: 3.750e-05, eta: 9:00:43, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2039, decode.acc_seg: 91.9153, loss: 0.2039 2023-03-04 00:11:12,394 - mmseg - INFO - Iter [43200/160000] lr: 3.750e-05, eta: 9:00:23, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2086, decode.acc_seg: 91.6116, loss: 0.2086 2023-03-04 00:11:23,972 - mmseg - INFO - Iter [43250/160000] lr: 3.750e-05, eta: 9:00:03, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2106, decode.acc_seg: 91.7046, loss: 0.2106 2023-03-04 00:11:35,473 - mmseg - INFO - Iter [43300/160000] lr: 3.750e-05, eta: 8:59:43, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2006, decode.acc_seg: 91.8693, loss: 0.2006 2023-03-04 00:11:47,023 - mmseg - INFO - Iter [43350/160000] lr: 3.750e-05, eta: 8:59:22, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2002, decode.acc_seg: 92.0389, loss: 0.2002 2023-03-04 00:11:58,590 - mmseg - INFO - Iter [43400/160000] lr: 3.750e-05, eta: 8:59:02, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2088, decode.acc_seg: 91.4357, loss: 0.2088 2023-03-04 00:12:10,137 - mmseg - INFO - Iter [43450/160000] lr: 3.750e-05, eta: 8:58:42, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2131, decode.acc_seg: 91.6243, loss: 0.2131 2023-03-04 00:12:21,683 - mmseg - INFO - Iter [43500/160000] lr: 3.750e-05, eta: 8:58:22, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2093, decode.acc_seg: 91.5663, loss: 0.2093 2023-03-04 00:12:35,865 - mmseg - INFO - Iter [43550/160000] lr: 3.750e-05, eta: 8:58:09, time: 0.284, data_time: 0.052, memory: 67409, decode.loss_ce: 0.2018, decode.acc_seg: 91.8665, loss: 0.2018 2023-03-04 00:12:47,758 - mmseg - INFO - Iter [43600/160000] lr: 3.750e-05, eta: 8:57:50, time: 0.238, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2124, decode.acc_seg: 91.5688, loss: 0.2124 2023-03-04 00:12:59,317 - mmseg - INFO - Iter [43650/160000] lr: 3.750e-05, eta: 8:57:30, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2142, decode.acc_seg: 91.3713, loss: 0.2142 2023-03-04 00:13:11,215 - mmseg - INFO - Iter [43700/160000] lr: 3.750e-05, eta: 8:57:11, time: 0.238, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2112, decode.acc_seg: 91.7253, loss: 0.2112 2023-03-04 00:13:22,741 - mmseg - INFO - Iter [43750/160000] lr: 3.750e-05, eta: 8:56:51, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2060, decode.acc_seg: 91.6964, loss: 0.2060 2023-03-04 00:13:34,208 - mmseg - INFO - Iter [43800/160000] lr: 3.750e-05, eta: 8:56:31, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2020, decode.acc_seg: 91.9144, loss: 0.2020 2023-03-04 00:13:45,643 - mmseg - INFO - Iter [43850/160000] lr: 3.750e-05, eta: 8:56:10, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2053, decode.acc_seg: 91.7265, loss: 0.2053 2023-03-04 00:13:57,047 - mmseg - INFO - Iter [43900/160000] lr: 3.750e-05, eta: 8:55:50, time: 0.228, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2143, decode.acc_seg: 91.3203, loss: 0.2143 2023-03-04 00:14:08,496 - mmseg - INFO - Iter [43950/160000] lr: 3.750e-05, eta: 8:55:30, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2047, decode.acc_seg: 91.7142, loss: 0.2047 2023-03-04 00:14:19,990 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 00:14:19,990 - mmseg - INFO - Iter [44000/160000] lr: 3.750e-05, eta: 8:55:10, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2044, decode.acc_seg: 91.7111, loss: 0.2044 2023-03-04 00:14:31,443 - mmseg - INFO - Iter [44050/160000] lr: 3.750e-05, eta: 8:54:50, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2038, decode.acc_seg: 91.8773, loss: 0.2038 2023-03-04 00:14:43,063 - mmseg - INFO - Iter [44100/160000] lr: 3.750e-05, eta: 8:54:30, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2120, decode.acc_seg: 91.6429, loss: 0.2120 2023-03-04 00:14:54,682 - mmseg - INFO - Iter [44150/160000] lr: 3.750e-05, eta: 8:54:10, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2092, decode.acc_seg: 91.6354, loss: 0.2092 2023-03-04 00:15:08,795 - mmseg - INFO - Iter [44200/160000] lr: 3.750e-05, eta: 8:53:57, time: 0.282, data_time: 0.057, memory: 67409, decode.loss_ce: 0.2031, decode.acc_seg: 91.7617, loss: 0.2031 2023-03-04 00:15:20,342 - mmseg - INFO - Iter [44250/160000] lr: 3.750e-05, eta: 8:53:38, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2039, decode.acc_seg: 91.7833, loss: 0.2039 2023-03-04 00:15:31,802 - mmseg - INFO - Iter [44300/160000] lr: 3.750e-05, eta: 8:53:18, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2111, decode.acc_seg: 91.4583, loss: 0.2111 2023-03-04 00:15:43,402 - mmseg - INFO - Iter [44350/160000] lr: 3.750e-05, eta: 8:52:58, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2079, decode.acc_seg: 91.7941, loss: 0.2079 2023-03-04 00:15:55,492 - mmseg - INFO - Iter [44400/160000] lr: 3.750e-05, eta: 8:52:40, time: 0.242, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2117, decode.acc_seg: 91.6620, loss: 0.2117 2023-03-04 00:16:07,027 - mmseg - INFO - Iter [44450/160000] lr: 3.750e-05, eta: 8:52:20, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2110, decode.acc_seg: 91.6635, loss: 0.2110 2023-03-04 00:16:18,772 - mmseg - INFO - Iter [44500/160000] lr: 3.750e-05, eta: 8:52:01, time: 0.235, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2087, decode.acc_seg: 91.5877, loss: 0.2087 2023-03-04 00:16:30,226 - mmseg - INFO - Iter [44550/160000] lr: 3.750e-05, eta: 8:51:41, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2059, decode.acc_seg: 91.8769, loss: 0.2059 2023-03-04 00:16:41,689 - mmseg - INFO - Iter [44600/160000] lr: 3.750e-05, eta: 8:51:21, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2049, decode.acc_seg: 91.7254, loss: 0.2049 2023-03-04 00:16:53,309 - mmseg - INFO - Iter [44650/160000] lr: 3.750e-05, eta: 8:51:01, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2046, decode.acc_seg: 91.7374, loss: 0.2046 2023-03-04 00:17:04,852 - mmseg - INFO - Iter [44700/160000] lr: 3.750e-05, eta: 8:50:42, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2164, decode.acc_seg: 91.5975, loss: 0.2164 2023-03-04 00:17:16,597 - mmseg - INFO - Iter [44750/160000] lr: 3.750e-05, eta: 8:50:22, time: 0.235, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1913, decode.acc_seg: 92.1623, loss: 0.1913 2023-03-04 00:17:28,415 - mmseg - INFO - Iter [44800/160000] lr: 3.750e-05, eta: 8:50:04, time: 0.236, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2016, decode.acc_seg: 91.8455, loss: 0.2016 2023-03-04 00:17:42,917 - mmseg - INFO - Iter [44850/160000] lr: 3.750e-05, eta: 8:49:52, time: 0.290, data_time: 0.055, memory: 67409, decode.loss_ce: 0.2098, decode.acc_seg: 91.6222, loss: 0.2098 2023-03-04 00:17:54,602 - mmseg - INFO - Iter [44900/160000] lr: 3.750e-05, eta: 8:49:32, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2036, decode.acc_seg: 91.7853, loss: 0.2036 2023-03-04 00:18:06,200 - mmseg - INFO - Iter [44950/160000] lr: 3.750e-05, eta: 8:49:13, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2062, decode.acc_seg: 91.6756, loss: 0.2062 2023-03-04 00:18:17,748 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 00:18:17,749 - mmseg - INFO - Iter [45000/160000] lr: 3.750e-05, eta: 8:48:53, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2051, decode.acc_seg: 91.9007, loss: 0.2051 2023-03-04 00:18:29,239 - mmseg - INFO - Iter [45050/160000] lr: 3.750e-05, eta: 8:48:34, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2013, decode.acc_seg: 92.0022, loss: 0.2013 2023-03-04 00:18:40,819 - mmseg - INFO - Iter [45100/160000] lr: 3.750e-05, eta: 8:48:14, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2050, decode.acc_seg: 91.6893, loss: 0.2050 2023-03-04 00:18:52,367 - mmseg - INFO - Iter [45150/160000] lr: 3.750e-05, eta: 8:47:55, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2010, decode.acc_seg: 92.0578, loss: 0.2010 2023-03-04 00:19:04,038 - mmseg - INFO - Iter [45200/160000] lr: 3.750e-05, eta: 8:47:36, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2106, decode.acc_seg: 91.6540, loss: 0.2106 2023-03-04 00:19:15,604 - mmseg - INFO - Iter [45250/160000] lr: 3.750e-05, eta: 8:47:16, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2116, decode.acc_seg: 91.4361, loss: 0.2116 2023-03-04 00:19:27,143 - mmseg - INFO - Iter [45300/160000] lr: 3.750e-05, eta: 8:46:57, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2064, decode.acc_seg: 91.7583, loss: 0.2064 2023-03-04 00:19:38,573 - mmseg - INFO - Iter [45350/160000] lr: 3.750e-05, eta: 8:46:37, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2168, decode.acc_seg: 91.3663, loss: 0.2168 2023-03-04 00:19:50,189 - mmseg - INFO - Iter [45400/160000] lr: 3.750e-05, eta: 8:46:18, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2050, decode.acc_seg: 91.7316, loss: 0.2050 2023-03-04 00:20:04,132 - mmseg - INFO - Iter [45450/160000] lr: 3.750e-05, eta: 8:46:04, time: 0.279, data_time: 0.056, memory: 67409, decode.loss_ce: 0.2002, decode.acc_seg: 91.9034, loss: 0.2002 2023-03-04 00:20:15,626 - mmseg - INFO - Iter [45500/160000] lr: 3.750e-05, eta: 8:45:45, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2124, decode.acc_seg: 91.6714, loss: 0.2124 2023-03-04 00:20:27,366 - mmseg - INFO - Iter [45550/160000] lr: 3.750e-05, eta: 8:45:26, time: 0.235, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2028, decode.acc_seg: 91.9598, loss: 0.2028 2023-03-04 00:20:38,959 - mmseg - INFO - Iter [45600/160000] lr: 3.750e-05, eta: 8:45:07, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2077, decode.acc_seg: 91.6752, loss: 0.2077 2023-03-04 00:20:50,410 - mmseg - INFO - Iter [45650/160000] lr: 3.750e-05, eta: 8:44:47, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2101, decode.acc_seg: 91.6306, loss: 0.2101 2023-03-04 00:21:01,821 - mmseg - INFO - Iter [45700/160000] lr: 3.750e-05, eta: 8:44:27, time: 0.228, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2114, decode.acc_seg: 91.6131, loss: 0.2114 2023-03-04 00:21:13,544 - mmseg - INFO - Iter [45750/160000] lr: 3.750e-05, eta: 8:44:09, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2090, decode.acc_seg: 91.6930, loss: 0.2090 2023-03-04 00:21:25,029 - mmseg - INFO - Iter [45800/160000] lr: 3.750e-05, eta: 8:43:49, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2011, decode.acc_seg: 91.8680, loss: 0.2011 2023-03-04 00:21:36,666 - mmseg - INFO - Iter [45850/160000] lr: 3.750e-05, eta: 8:43:30, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2066, decode.acc_seg: 91.7684, loss: 0.2066 2023-03-04 00:21:48,178 - mmseg - INFO - Iter [45900/160000] lr: 3.750e-05, eta: 8:43:11, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2043, decode.acc_seg: 91.8470, loss: 0.2043 2023-03-04 00:21:59,732 - mmseg - INFO - Iter [45950/160000] lr: 3.750e-05, eta: 8:42:51, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2062, decode.acc_seg: 91.7821, loss: 0.2062 2023-03-04 00:22:11,228 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 00:22:11,228 - mmseg - INFO - Iter [46000/160000] lr: 3.750e-05, eta: 8:42:32, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2081, decode.acc_seg: 91.7195, loss: 0.2081 2023-03-04 00:22:22,714 - mmseg - INFO - Iter [46050/160000] lr: 3.750e-05, eta: 8:42:13, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2141, decode.acc_seg: 91.3904, loss: 0.2141 2023-03-04 00:22:36,818 - mmseg - INFO - Iter [46100/160000] lr: 3.750e-05, eta: 8:42:00, time: 0.282, data_time: 0.057, memory: 67409, decode.loss_ce: 0.2027, decode.acc_seg: 91.9441, loss: 0.2027 2023-03-04 00:22:48,342 - mmseg - INFO - Iter [46150/160000] lr: 3.750e-05, eta: 8:41:41, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2017, decode.acc_seg: 91.9519, loss: 0.2017 2023-03-04 00:22:59,882 - mmseg - INFO - Iter [46200/160000] lr: 3.750e-05, eta: 8:41:21, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2067, decode.acc_seg: 91.9197, loss: 0.2067 2023-03-04 00:23:11,397 - mmseg - INFO - Iter [46250/160000] lr: 3.750e-05, eta: 8:41:02, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2159, decode.acc_seg: 91.4291, loss: 0.2159 2023-03-04 00:23:22,963 - mmseg - INFO - Iter [46300/160000] lr: 3.750e-05, eta: 8:40:43, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2052, decode.acc_seg: 91.7403, loss: 0.2052 2023-03-04 00:23:34,518 - mmseg - INFO - Iter [46350/160000] lr: 3.750e-05, eta: 8:40:24, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2092, decode.acc_seg: 91.7535, loss: 0.2092 2023-03-04 00:23:46,109 - mmseg - INFO - Iter [46400/160000] lr: 3.750e-05, eta: 8:40:05, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2063, decode.acc_seg: 91.7933, loss: 0.2063 2023-03-04 00:23:57,794 - mmseg - INFO - Iter [46450/160000] lr: 3.750e-05, eta: 8:39:46, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2098, decode.acc_seg: 91.6382, loss: 0.2098 2023-03-04 00:24:09,290 - mmseg - INFO - Iter [46500/160000] lr: 3.750e-05, eta: 8:39:27, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2092, decode.acc_seg: 91.4705, loss: 0.2092 2023-03-04 00:24:20,888 - mmseg - INFO - Iter [46550/160000] lr: 3.750e-05, eta: 8:39:08, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2044, decode.acc_seg: 91.7539, loss: 0.2044 2023-03-04 00:24:32,408 - mmseg - INFO - Iter [46600/160000] lr: 3.750e-05, eta: 8:38:49, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2086, decode.acc_seg: 91.7651, loss: 0.2086 2023-03-04 00:24:43,846 - mmseg - INFO - Iter [46650/160000] lr: 3.750e-05, eta: 8:38:30, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1997, decode.acc_seg: 92.0569, loss: 0.1997 2023-03-04 00:24:58,016 - mmseg - INFO - Iter [46700/160000] lr: 3.750e-05, eta: 8:38:17, time: 0.283, data_time: 0.056, memory: 67409, decode.loss_ce: 0.2055, decode.acc_seg: 91.7649, loss: 0.2055 2023-03-04 00:25:09,749 - mmseg - INFO - Iter [46750/160000] lr: 3.750e-05, eta: 8:37:59, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2062, decode.acc_seg: 91.7199, loss: 0.2062 2023-03-04 00:25:21,309 - mmseg - INFO - Iter [46800/160000] lr: 3.750e-05, eta: 8:37:40, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2065, decode.acc_seg: 91.6241, loss: 0.2065 2023-03-04 00:25:32,874 - mmseg - INFO - Iter [46850/160000] lr: 3.750e-05, eta: 8:37:21, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2090, decode.acc_seg: 91.5921, loss: 0.2090 2023-03-04 00:25:44,265 - mmseg - INFO - Iter [46900/160000] lr: 3.750e-05, eta: 8:37:01, time: 0.228, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2101, decode.acc_seg: 91.7316, loss: 0.2101 2023-03-04 00:25:55,942 - mmseg - INFO - Iter [46950/160000] lr: 3.750e-05, eta: 8:36:43, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2098, decode.acc_seg: 91.6950, loss: 0.2098 2023-03-04 00:26:07,511 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 00:26:07,511 - mmseg - INFO - Iter [47000/160000] lr: 3.750e-05, eta: 8:36:24, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2126, decode.acc_seg: 91.5822, loss: 0.2126 2023-03-04 00:26:19,137 - mmseg - INFO - Iter [47050/160000] lr: 3.750e-05, eta: 8:36:05, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2041, decode.acc_seg: 91.8008, loss: 0.2041 2023-03-04 00:26:30,558 - mmseg - INFO - Iter [47100/160000] lr: 3.750e-05, eta: 8:35:46, time: 0.228, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2061, decode.acc_seg: 91.7734, loss: 0.2061 2023-03-04 00:26:42,068 - mmseg - INFO - Iter [47150/160000] lr: 3.750e-05, eta: 8:35:27, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2067, decode.acc_seg: 91.6778, loss: 0.2067 2023-03-04 00:26:53,686 - mmseg - INFO - Iter [47200/160000] lr: 3.750e-05, eta: 8:35:08, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2020, decode.acc_seg: 91.8027, loss: 0.2020 2023-03-04 00:27:05,421 - mmseg - INFO - Iter [47250/160000] lr: 3.750e-05, eta: 8:34:50, time: 0.235, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2095, decode.acc_seg: 91.7453, loss: 0.2095 2023-03-04 00:27:16,858 - mmseg - INFO - Iter [47300/160000] lr: 3.750e-05, eta: 8:34:31, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1999, decode.acc_seg: 91.9489, loss: 0.1999 2023-03-04 00:27:31,262 - mmseg - INFO - Iter [47350/160000] lr: 3.750e-05, eta: 8:34:19, time: 0.288, data_time: 0.056, memory: 67409, decode.loss_ce: 0.2079, decode.acc_seg: 91.8613, loss: 0.2079 2023-03-04 00:27:42,752 - mmseg - INFO - Iter [47400/160000] lr: 3.750e-05, eta: 8:34:00, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2034, decode.acc_seg: 91.9476, loss: 0.2034 2023-03-04 00:27:54,289 - mmseg - INFO - Iter [47450/160000] lr: 3.750e-05, eta: 8:33:41, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2118, decode.acc_seg: 91.6860, loss: 0.2118 2023-03-04 00:28:05,781 - mmseg - INFO - Iter [47500/160000] lr: 3.750e-05, eta: 8:33:22, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2071, decode.acc_seg: 91.7086, loss: 0.2071 2023-03-04 00:28:17,292 - mmseg - INFO - Iter [47550/160000] lr: 3.750e-05, eta: 8:33:03, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2080, decode.acc_seg: 91.5780, loss: 0.2080 2023-03-04 00:28:28,988 - mmseg - INFO - Iter [47600/160000] lr: 3.750e-05, eta: 8:32:45, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2072, decode.acc_seg: 91.6448, loss: 0.2072 2023-03-04 00:28:40,757 - mmseg - INFO - Iter [47650/160000] lr: 3.750e-05, eta: 8:32:27, time: 0.235, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2119, decode.acc_seg: 91.5789, loss: 0.2119 2023-03-04 00:28:52,178 - mmseg - INFO - Iter [47700/160000] lr: 3.750e-05, eta: 8:32:08, time: 0.228, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2102, decode.acc_seg: 91.6403, loss: 0.2102 2023-03-04 00:29:03,732 - mmseg - INFO - Iter [47750/160000] lr: 3.750e-05, eta: 8:31:49, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2079, decode.acc_seg: 91.8217, loss: 0.2079 2023-03-04 00:29:15,185 - mmseg - INFO - Iter [47800/160000] lr: 3.750e-05, eta: 8:31:30, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2033, decode.acc_seg: 91.9131, loss: 0.2033 2023-03-04 00:29:26,652 - mmseg - INFO - Iter [47850/160000] lr: 3.750e-05, eta: 8:31:11, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2042, decode.acc_seg: 91.6838, loss: 0.2042 2023-03-04 00:29:38,530 - mmseg - INFO - Iter [47900/160000] lr: 3.750e-05, eta: 8:30:53, time: 0.238, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2108, decode.acc_seg: 91.5348, loss: 0.2108 2023-03-04 00:29:50,164 - mmseg - INFO - Iter [47950/160000] lr: 3.750e-05, eta: 8:30:35, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2140, decode.acc_seg: 91.4447, loss: 0.2140 2023-03-04 00:30:04,342 - mmseg - INFO - Swap parameters (after train) after iter [48000] 2023-03-04 00:30:04,356 - mmseg - INFO - Saving checkpoint at 48000 iterations 2023-03-04 00:30:05,758 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 00:30:05,758 - mmseg - INFO - Iter [48000/160000] lr: 3.750e-05, eta: 8:30:26, time: 0.312, data_time: 0.056, memory: 67409, decode.loss_ce: 0.2155, decode.acc_seg: 91.4741, loss: 0.2155 2023-03-04 00:40:59,283 - mmseg - INFO - per class results: 2023-03-04 00:40:59,292 - mmseg - INFO - +---------------------+-------------------------------------------------------------------+ | Class | IoU 0,10,20,30,40,50,60,70,80,90,99 | +---------------------+-------------------------------------------------------------------+ | background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | | wall | 76.2,76.23,76.22,76.23,76.23,76.21,76.22,76.24,76.23,76.24,76.25 | | building | 82.59,82.62,82.62,82.64,82.65,82.65,82.64,82.64,82.64,82.65,82.64 | | sky | 94.18,94.18,94.19,94.19,94.19,94.2,94.19,94.2,94.2,94.2,94.2 | | floor | 78.99,79.01,79.0,79.02,79.05,79.03,79.05,79.07,79.06,79.06,79.08 | | tree | 73.38,73.39,73.41,73.42,73.44,73.45,73.43,73.44,73.42,73.43,73.44 | | ceiling | 82.66,82.69,82.69,82.69,82.7,82.66,82.69,82.68,82.65,82.66,82.69 | | road | 81.02,81.04,81.08,81.08,81.14,81.13,81.07,81.09,81.08,81.11,81.16 | | bed | 88.07,88.08,88.09,88.07,88.1,88.1,88.11,88.13,88.12,88.14,88.11 | | windowpane | 59.75,59.76,59.76,59.74,59.76,59.78,59.77,59.81,59.81,59.81,59.79 | | grass | 65.38,65.43,65.39,65.39,65.39,65.39,65.38,65.37,65.37,65.38,65.41 | | cabinet | 58.8,58.73,58.79,58.61,58.64,58.56,58.48,58.52,58.48,58.45,58.24 | | sidewalk | 64.78,64.81,64.84,64.9,64.92,64.94,64.84,64.89,64.9,64.96,64.96 | | person | 78.4,78.4,78.39,78.39,78.37,78.38,78.38,78.37,78.38,78.39,78.33 | | earth | 32.1,32.01,32.03,32.04,32.04,32.07,32.01,32.01,32.01,31.94,32.01 | | door | 46.41,46.41,46.45,46.44,46.46,46.5,46.46,46.53,46.51,46.51,46.43 | | table | 60.26,60.26,60.26,60.24,60.27,60.27,60.21,60.27,60.25,60.24,60.35 | | mountain | 51.4,51.39,51.36,51.37,51.39,51.36,51.43,51.45,51.47,51.49,51.4 | | plant | 51.66,51.65,51.66,51.68,51.73,51.67,51.65,51.59,51.57,51.53,51.51 | | curtain | 71.76,71.8,71.8,71.79,71.81,71.83,71.8,71.77,71.76,71.75,71.82 | | chair | 55.49,55.51,55.48,55.47,55.44,55.44,55.41,55.4,55.38,55.37,55.38 | | car | 81.64,81.62,81.63,81.62,81.6,81.58,81.55,81.53,81.51,81.49,81.52 | | water | 45.07,45.04,45.03,45.02,44.98,44.91,44.84,44.85,44.77,44.74,44.73 | | painting | 70.75,70.76,70.8,70.76,70.83,70.82,70.75,70.79,70.79,70.87,70.82 | | sofa | 64.15,64.21,64.27,64.3,64.33,64.36,64.38,64.46,64.5,64.53,64.55 | | shelf | 39.45,39.44,39.47,39.44,39.51,39.5,39.51,39.6,39.68,39.73,39.44 | | house | 46.2,46.27,46.24,46.29,46.39,46.32,46.3,46.34,46.35,46.37,46.33 | | sea | 42.72,42.69,42.7,42.68,42.72,42.68,42.61,42.62,42.59,42.59,42.55 | | mirror | 64.01,64.0,64.06,64.04,64.13,64.06,64.05,64.02,63.98,63.9,63.95 | | rug | 55.85,56.03,56.06,56.26,56.3,56.33,56.43,56.41,56.33,56.38,56.26 | | field | 23.86,23.9,23.98,24.08,24.06,24.27,24.21,24.19,24.25,24.25,24.29 | | armchair | 42.37,42.46,42.44,42.32,42.41,42.44,42.4,42.49,42.59,42.65,42.86 | | seat | 58.7,58.69,58.71,58.75,58.72,58.69,58.74,58.74,58.83,58.83,58.54 | | fence | 34.74,34.79,34.82,34.89,35.01,35.0,35.01,35.08,35.09,35.24,35.28 | | desk | 49.17,49.13,49.12,49.23,49.19,49.25,49.28,49.26,49.3,49.23,49.24 | | rock | 28.9,28.99,28.72,28.81,28.84,28.73,28.78,28.82,28.88,28.92,28.85 | | wardrobe | 43.92,43.74,43.77,43.32,43.26,43.04,42.85,42.89,42.8,42.71,42.41 | | lamp | 63.0,63.02,63.03,63.03,63.06,63.03,63.05,63.11,63.09,63.09,63.12 | | bathtub | 76.47,76.55,76.61,76.42,76.54,76.43,76.36,76.43,76.29,76.09,75.96 | | railing | 28.73,28.73,28.72,28.68,28.76,28.69,28.69,28.67,28.62,28.61,28.62 | | cushion | 53.53,53.56,53.59,53.61,53.54,53.71,53.65,53.74,53.7,53.8,53.75 | | base | 20.83,20.89,21.04,20.97,21.12,21.17,21.17,21.21,21.19,21.29,21.47 | | box | 22.09,22.07,22.03,22.1,22.14,22.04,22.03,22.14,22.2,22.18,22.06 | | column | 44.8,44.83,44.91,44.97,44.94,45.04,45.11,45.15,45.15,45.17,45.0 | | signboard | 36.08,36.07,36.08,36.07,36.1,36.15,36.07,36.15,36.15,36.16,36.14 | | chest of drawers | 37.98,37.93,37.95,37.94,37.97,37.94,37.96,37.98,37.92,37.92,37.9 | | counter | 25.73,25.67,25.48,25.49,25.19,24.84,24.94,24.71,24.67,24.59,24.84 | | sand | 31.11,31.0,31.03,31.08,30.96,31.03,31.02,30.9,30.93,30.84,30.69 | | sink | 68.21,68.15,68.19,68.11,68.15,67.99,68.05,68.0,68.04,68.06,67.92 | | skyscraper | 64.07,64.26,64.37,64.22,64.23,64.24,64.36,64.28,64.26,64.4,63.66 | | fireplace | 70.36,70.27,70.28,70.23,70.19,70.22,70.13,70.12,70.05,70.0,70.05 | | refrigerator | 71.87,71.91,71.92,72.01,71.98,71.99,72.03,72.01,72.06,72.08,72.11 | | grandstand | 38.22,38.3,38.27,38.31,38.29,38.32,38.35,38.21,38.33,38.25,38.2 | | path | 15.33,15.4,15.32,15.36,15.34,15.5,15.34,15.48,15.41,15.39,15.41 | | stairs | 30.2,30.17,30.17,30.18,30.15,30.1,30.12,30.09,30.09,30.06,30.08 | | runway | 59.93,60.02,60.08,60.11,60.17,60.2,60.23,60.33,60.38,60.44,60.52 | | case | 44.73,44.81,44.7,44.66,44.67,44.64,44.53,44.63,44.6,44.63,44.59 | | pool table | 91.76,91.77,91.77,91.76,91.75,91.75,91.77,91.75,91.82,91.84,91.71 | | pillow | 55.68,55.78,55.77,55.74,55.65,55.78,55.78,55.76,55.7,55.69,55.71 | | screen door | 71.49,71.38,71.64,71.38,71.38,71.65,70.75,70.43,70.81,70.11,72.09 | | stairway | 31.48,31.44,31.38,31.36,31.34,31.27,31.25,31.13,31.23,31.13,31.06 | | river | 12.13,12.12,12.08,12.12,12.09,12.08,12.08,12.04,12.02,12.0,12.02 | | bridge | 64.54,64.72,64.95,64.93,65.04,65.17,65.22,65.29,65.47,65.61,65.66 | | bookcase | 39.32,39.43,39.45,39.37,39.28,39.37,39.41,39.35,39.36,39.35,39.18 | | blind | 40.94,41.04,41.0,40.9,40.97,40.93,40.93,40.87,40.86,40.84,40.83 | | coffee table | 58.02,58.16,58.18,58.23,58.53,58.4,58.46,58.4,58.48,58.47,58.43 | | toilet | 85.95,85.98,86.0,86.03,86.01,86.06,86.01,86.06,86.08,86.03,86.07 | | flower | 33.83,33.77,33.75,33.66,33.69,33.72,33.6,33.65,33.71,33.68,33.69 | | book | 45.52,45.51,45.53,45.66,45.72,45.69,45.71,45.73,45.78,45.75,45.7 | | hill | 4.39,4.4,4.42,4.34,4.46,4.35,4.44,4.49,4.49,4.49,4.53 | | bench | 36.96,36.88,36.98,37.03,36.98,37.1,37.07,37.5,37.56,37.58,37.81 | | countertop | 56.25,56.4,56.33,56.33,56.3,56.39,56.32,56.29,56.37,56.42,56.01 | | stove | 72.78,72.81,72.84,72.83,72.84,72.76,72.87,72.83,72.82,72.82,72.92 | | palm | 50.57,50.63,50.65,50.63,50.63,50.65,50.65,50.71,50.64,50.62,50.71 | | kitchen island | 46.67,46.74,46.77,46.68,46.79,46.76,46.87,46.8,46.87,46.79,46.59 | | computer | 55.49,55.5,55.46,55.42,55.48,55.46,55.35,55.27,55.36,55.27,55.19 | | swivel chair | 44.59,44.65,44.55,44.57,44.5,44.46,44.57,44.48,44.53,44.45,44.49 | | boat | 48.28,48.25,48.09,47.97,47.91,47.95,47.89,48.02,47.96,47.97,47.9 | | bar | 23.95,23.94,23.91,23.97,23.95,23.96,23.91,23.91,23.91,23.92,23.99 | | arcade machine | 25.98,25.99,26.29,26.15,26.41,26.24,26.56,26.65,26.47,26.83,27.31 | | hovel | 36.91,36.91,36.85,36.71,36.79,36.55,36.61,36.4,36.4,36.15,36.06 | | bus | 78.69,78.66,78.69,78.71,78.75,78.72,78.78,78.76,78.77,78.77,78.73 | | towel | 57.38,57.32,57.28,57.33,57.35,57.27,57.33,57.42,57.29,57.26,57.35 | | light | 54.93,54.8,54.76,54.77,54.72,54.55,54.49,54.5,54.59,54.51,54.53 | | truck | 33.05,33.08,33.16,33.18,33.16,33.11,33.1,33.02,33.02,33.03,32.87 | | tower | 32.09,32.38,32.89,33.26,33.63,33.72,33.54,33.9,34.29,34.9,34.82 | | chandelier | 68.13,68.13,68.19,68.18,68.22,68.23,68.26,68.3,68.25,68.31,68.32 | | awning | 23.53,23.58,23.44,23.75,23.66,23.78,23.76,23.7,23.94,23.94,24.41 | | streetlight | 26.33,26.31,26.39,26.31,26.37,26.31,26.34,26.33,26.34,26.35,26.41 | | booth | 43.62,43.71,43.95,43.83,44.13,44.21,44.26,44.15,44.3,44.51,44.6 | | television receiver | 68.52,68.52,68.54,68.55,68.57,68.55,68.54,68.53,68.6,68.63,68.44 | | airplane | 50.82,51.01,50.81,51.04,50.95,51.0,50.94,50.92,50.95,50.88,50.94 | | dirt track | 3.29,3.3,3.32,3.32,3.33,3.31,3.33,3.35,3.34,3.35,3.36 | | apparel | 28.82,28.81,28.92,29.02,28.81,28.97,29.0,29.0,29.06,29.15,29.22 | | pole | 24.03,23.95,23.95,23.84,23.89,23.81,23.79,23.68,23.7,23.65,23.6 | | land | 0.7,0.7,0.69,0.7,0.7,0.71,0.71,0.71,0.71,0.72,0.7 | | bannister | 8.94,8.88,8.93,8.99,9.07,9.11,9.12,9.19,9.09,9.21,9.29 | | escalator | 22.23,22.3,22.4,22.28,22.22,22.29,22.16,22.07,21.97,22.08,22.32 | | ottoman | 46.64,46.92,47.08,47.02,47.29,46.95,47.09,46.9,46.74,46.78,46.83 | | bottle | 12.31,12.33,12.22,12.23,12.17,12.21,12.19,12.16,12.2,12.14,12.32 | | buffet | 34.17,34.23,34.22,34.24,34.23,34.18,34.18,34.23,34.25,34.24,34.28 | | poster | 24.4,24.41,24.37,24.37,24.38,24.3,24.29,24.3,24.32,24.33,24.46 | | stage | 10.74,10.65,10.58,10.68,10.53,10.53,10.6,10.59,10.62,10.56,10.44 | | van | 41.62,41.97,41.86,41.71,42.07,41.95,41.91,42.03,41.97,42.07,42.27 | | ship | 69.87,70.07,69.98,70.11,70.22,70.22,70.28,70.36,70.45,70.57,70.54 | | fountain | 0.55,0.55,0.57,0.54,0.56,0.56,0.57,0.55,0.57,0.56,0.57 | | conveyer belt | 62.13,62.06,62.19,62.24,62.19,62.39,62.3,62.24,62.47,62.47,62.51 | | canopy | 15.19,15.26,15.23,15.35,15.35,15.42,15.33,15.42,15.48,15.49,15.46 | | washer | 64.53,64.56,64.5,64.59,64.48,64.48,64.39,64.34,64.16,64.08,64.32 | | plaything | 24.84,24.87,24.8,24.78,24.83,24.68,24.68,24.57,24.62,24.63,24.42 | | swimming pool | 29.24,28.78,28.83,29.09,28.92,28.99,28.91,28.83,29.06,29.0,28.99 | | stool | 42.17,42.09,42.25,42.39,42.38,42.26,42.28,42.4,42.44,42.32,42.6 | | barrel | 42.92,42.88,42.06,42.14,41.95,41.55,41.2,40.85,40.52,40.13,39.93 | | basket | 21.8,21.68,21.58,21.48,21.39,21.36,21.32,21.21,21.2,21.07,20.97 | | waterfall | 58.04,57.72,57.97,57.82,57.95,58.05,57.87,58.12,58.13,58.94,59.0 | | tent | 92.86,92.69,92.69,92.77,92.65,92.66,92.48,92.6,92.62,92.52,92.28 | | bag | 8.6,8.8,8.78,8.87,8.95,9.01,9.05,9.16,9.2,9.22,9.17 | | minibike | 52.28,52.2,52.34,52.5,52.35,52.4,52.09,52.08,52.01,51.9,51.82 | | cradle | 76.07,76.05,76.07,76.08,76.1,76.1,76.16,76.18,76.16,76.25,76.19 | | oven | 22.14,22.36,22.3,22.22,22.25,22.0,22.08,22.04,22.1,22.1,22.39 | | ball | 46.84,46.83,46.82,46.86,46.78,46.83,46.88,46.78,46.82,46.76,46.61 | | food | 49.3,49.08,48.95,48.76,48.72,48.59,48.53,48.46,48.48,48.33,48.06 | | step | 4.72,4.65,4.57,4.64,4.58,4.65,4.57,4.68,4.53,4.44,4.44 | | tank | 47.02,47.33,47.42,47.49,47.57,47.59,47.63,47.66,47.65,47.68,47.69 | | trade name | 21.91,21.71,21.81,21.75,21.81,21.96,21.78,21.77,21.74,21.75,21.77 | | microwave | 38.29,38.26,38.25,38.17,38.15,38.18,38.11,38.06,38.05,38.03,38.03 | | pot | 37.33,37.2,37.23,37.21,37.14,37.11,37.2,37.1,37.05,37.09,37.01 | | animal | 51.7,51.86,51.72,51.74,51.69,51.7,51.73,51.69,51.72,51.62,51.5 | | bicycle | 46.0,46.02,45.98,45.97,45.82,45.84,45.83,45.76,45.8,45.74,45.66 | | lake | 59.78,59.43,59.64,59.81,59.68,59.75,59.63,59.65,59.66,59.55,59.55 | | dishwasher | 70.56,70.54,70.63,70.54,70.6,70.28,70.2,70.38,70.2,70.26,70.45 | | screen | 59.96,59.93,60.01,60.04,59.96,60.0,60.1,60.1,60.04,59.97,60.41 | | blanket | 6.12,6.2,6.2,6.21,6.25,6.27,6.39,6.39,6.44,6.47,6.54 | | sculpture | 41.83,41.87,41.92,41.53,41.52,41.47,41.29,41.16,41.03,40.95,40.81 | | hood | 60.67,60.65,60.6,60.61,60.63,60.66,60.56,60.54,60.58,60.62,60.11 | | sconce | 40.69,40.65,40.77,40.64,40.68,40.8,40.79,40.86,40.82,40.88,40.77 | | vase | 32.56,32.54,32.55,32.51,32.57,32.6,32.6,32.65,32.69,32.64,32.67 | | traffic light | 27.41,27.35,27.43,27.23,27.31,27.29,27.2,27.13,27.06,27.09,26.96 | | tray | 5.74,5.77,5.97,6.0,6.14,6.21,6.3,6.46,6.56,6.73,6.63 | | ashcan | 43.16,43.16,43.25,43.26,43.47,43.29,43.54,43.5,43.52,43.61,43.56 | | fan | 57.99,57.92,57.92,57.89,57.79,57.72,57.59,57.52,57.52,57.4,57.45 | | pier | 21.33,21.18,21.13,21.16,21.24,21.18,21.42,21.27,21.26,21.45,21.46 | | crt screen | 4.6,4.76,4.75,4.96,4.86,4.98,5.26,5.24,5.15,5.15,6.0 | | plate | 40.65,40.41,40.56,40.61,40.83,40.71,40.96,41.17,41.1,40.98,41.17 | | monitor | 62.8,62.82,62.94,62.86,62.87,63.24,63.25,63.21,63.33,63.42,63.37 | | bulletin board | 33.77,33.9,34.14,34.15,34.35,34.36,34.42,34.42,34.47,34.55,34.56 | | shower | 1.02,1.03,1.04,1.03,1.04,1.04,1.05,1.04,1.08,1.07,1.07 | | radiator | 41.21,41.15,41.21,41.13,41.18,40.96,41.07,40.86,40.73,40.56,41.13 | | glass | 10.11,10.08,10.04,9.95,9.99,9.91,9.88,9.77,9.71,9.61,9.69 | | clock | 18.77,18.84,18.78,18.73,18.68,18.66,18.52,18.66,18.65,18.51,18.56 | | flag | 40.38,40.48,40.36,40.38,40.34,40.29,40.1,40.21,40.07,39.99,40.13 | +---------------------+-------------------------------------------------------------------+ 2023-03-04 00:40:59,292 - mmseg - INFO - Summary: 2023-03-04 00:40:59,292 - mmseg - INFO - +-------------------------------------------------------------------+ | mIoU 0,10,20,30,40,50,60,70,80,90,99 | +-------------------------------------------------------------------+ | 45.23,45.23,45.25,45.24,45.26,45.25,45.24,45.24,45.24,45.24,45.25 | +-------------------------------------------------------------------+ 2023-03-04 00:40:59,341 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune/best_mIoU_iter_32000.pth was removed 2023-03-04 00:41:00,852 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_48000.pth. 2023-03-04 00:41:00,853 - mmseg - INFO - Best mIoU is 0.4525 at 48000 iter. 2023-03-04 00:41:00,853 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 00:41:00,853 - mmseg - INFO - Iter(val) [250] mIoU: [0.4523, 0.4523, 0.4525, 0.4524, 0.4526, 0.4525, 0.4524, 0.4524, 0.4524, 0.4524, 0.4525], copy_paste: 45.23,45.23,45.25,45.24,45.26,45.25,45.24,45.24,45.24,45.24,45.25 2023-03-04 00:41:00,860 - mmseg - INFO - Swap parameters (before train) before iter [48001] 2023-03-04 00:41:12,862 - mmseg - INFO - Iter [48050/160000] lr: 3.750e-05, eta: 8:55:35, time: 13.342, data_time: 13.110, memory: 67409, decode.loss_ce: 0.2074, decode.acc_seg: 91.8052, loss: 0.2074 2023-03-04 00:41:24,768 - mmseg - INFO - Iter [48100/160000] lr: 3.750e-05, eta: 8:55:15, time: 0.238, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1948, decode.acc_seg: 92.2563, loss: 0.1948 2023-03-04 00:41:36,641 - mmseg - INFO - Iter [48150/160000] lr: 3.750e-05, eta: 8:54:54, time: 0.237, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2046, decode.acc_seg: 91.8169, loss: 0.2046 2023-03-04 00:41:48,169 - mmseg - INFO - Iter [48200/160000] lr: 3.750e-05, eta: 8:54:34, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2124, decode.acc_seg: 91.4858, loss: 0.2124 2023-03-04 00:41:59,687 - mmseg - INFO - Iter [48250/160000] lr: 3.750e-05, eta: 8:54:13, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2034, decode.acc_seg: 91.8364, loss: 0.2034 2023-03-04 00:42:11,243 - mmseg - INFO - Iter [48300/160000] lr: 3.750e-05, eta: 8:53:52, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2014, decode.acc_seg: 91.9645, loss: 0.2014 2023-03-04 00:42:22,916 - mmseg - INFO - Iter [48350/160000] lr: 3.750e-05, eta: 8:53:31, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2143, decode.acc_seg: 91.3642, loss: 0.2143 2023-03-04 00:42:34,396 - mmseg - INFO - Iter [48400/160000] lr: 3.750e-05, eta: 8:53:10, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2031, decode.acc_seg: 91.9239, loss: 0.2031 2023-03-04 00:42:45,966 - mmseg - INFO - Iter [48450/160000] lr: 3.750e-05, eta: 8:52:50, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2097, decode.acc_seg: 91.5419, loss: 0.2097 2023-03-04 00:42:57,616 - mmseg - INFO - Iter [48500/160000] lr: 3.750e-05, eta: 8:52:29, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2144, decode.acc_seg: 91.5522, loss: 0.2144 2023-03-04 00:43:09,178 - mmseg - INFO - Iter [48550/160000] lr: 3.750e-05, eta: 8:52:09, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2047, decode.acc_seg: 91.7350, loss: 0.2047 2023-03-04 00:43:23,307 - mmseg - INFO - Iter [48600/160000] lr: 3.750e-05, eta: 8:51:54, time: 0.283, data_time: 0.058, memory: 67409, decode.loss_ce: 0.2079, decode.acc_seg: 91.6863, loss: 0.2079 2023-03-04 00:43:34,863 - mmseg - INFO - Iter [48650/160000] lr: 3.750e-05, eta: 8:51:33, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2120, decode.acc_seg: 91.6622, loss: 0.2120 2023-03-04 00:43:46,568 - mmseg - INFO - Iter [48700/160000] lr: 3.750e-05, eta: 8:51:13, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2010, decode.acc_seg: 91.8719, loss: 0.2010 2023-03-04 00:43:58,333 - mmseg - INFO - Iter [48750/160000] lr: 3.750e-05, eta: 8:50:53, time: 0.236, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2117, decode.acc_seg: 91.6315, loss: 0.2117 2023-03-04 00:44:10,137 - mmseg - INFO - Iter [48800/160000] lr: 3.750e-05, eta: 8:50:33, time: 0.236, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2042, decode.acc_seg: 91.9104, loss: 0.2042 2023-03-04 00:44:21,603 - mmseg - INFO - Iter [48850/160000] lr: 3.750e-05, eta: 8:50:12, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1976, decode.acc_seg: 91.9603, loss: 0.1976 2023-03-04 00:44:33,128 - mmseg - INFO - Iter [48900/160000] lr: 3.750e-05, eta: 8:49:51, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2086, decode.acc_seg: 91.7063, loss: 0.2086 2023-03-04 00:44:44,781 - mmseg - INFO - Iter [48950/160000] lr: 3.750e-05, eta: 8:49:31, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2169, decode.acc_seg: 91.2859, loss: 0.2169 2023-03-04 00:44:56,361 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 00:44:56,361 - mmseg - INFO - Iter [49000/160000] lr: 3.750e-05, eta: 8:49:10, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2090, decode.acc_seg: 91.6782, loss: 0.2090 2023-03-04 00:45:07,932 - mmseg - INFO - Iter [49050/160000] lr: 3.750e-05, eta: 8:48:50, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2034, decode.acc_seg: 91.9190, loss: 0.2034 2023-03-04 00:45:19,432 - mmseg - INFO - Iter [49100/160000] lr: 3.750e-05, eta: 8:48:29, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1992, decode.acc_seg: 91.9650, loss: 0.1992 2023-03-04 00:45:30,967 - mmseg - INFO - Iter [49150/160000] lr: 3.750e-05, eta: 8:48:09, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2049, decode.acc_seg: 91.7081, loss: 0.2049 2023-03-04 00:45:42,665 - mmseg - INFO - Iter [49200/160000] lr: 3.750e-05, eta: 8:47:49, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2115, decode.acc_seg: 91.7271, loss: 0.2115 2023-03-04 00:45:57,068 - mmseg - INFO - Iter [49250/160000] lr: 3.750e-05, eta: 8:47:35, time: 0.288, data_time: 0.054, memory: 67409, decode.loss_ce: 0.2069, decode.acc_seg: 91.8206, loss: 0.2069 2023-03-04 00:46:08,580 - mmseg - INFO - Iter [49300/160000] lr: 3.750e-05, eta: 8:47:14, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2078, decode.acc_seg: 91.7282, loss: 0.2078 2023-03-04 00:46:19,994 - mmseg - INFO - Iter [49350/160000] lr: 3.750e-05, eta: 8:46:53, time: 0.228, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2108, decode.acc_seg: 91.5449, loss: 0.2108 2023-03-04 00:46:31,579 - mmseg - INFO - Iter [49400/160000] lr: 3.750e-05, eta: 8:46:33, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2014, decode.acc_seg: 91.6465, loss: 0.2014 2023-03-04 00:46:43,196 - mmseg - INFO - Iter [49450/160000] lr: 3.750e-05, eta: 8:46:13, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2100, decode.acc_seg: 91.6556, loss: 0.2100 2023-03-04 00:46:54,654 - mmseg - INFO - Iter [49500/160000] lr: 3.750e-05, eta: 8:45:52, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2084, decode.acc_seg: 91.7649, loss: 0.2084 2023-03-04 00:47:06,403 - mmseg - INFO - Iter [49550/160000] lr: 3.750e-05, eta: 8:45:32, time: 0.235, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2088, decode.acc_seg: 91.6263, loss: 0.2088 2023-03-04 00:47:17,963 - mmseg - INFO - Iter [49600/160000] lr: 3.750e-05, eta: 8:45:12, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2104, decode.acc_seg: 91.5783, loss: 0.2104 2023-03-04 00:47:29,471 - mmseg - INFO - Iter [49650/160000] lr: 3.750e-05, eta: 8:44:52, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2059, decode.acc_seg: 91.6708, loss: 0.2059 2023-03-04 00:47:40,943 - mmseg - INFO - Iter [49700/160000] lr: 3.750e-05, eta: 8:44:31, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2057, decode.acc_seg: 91.6951, loss: 0.2057 2023-03-04 00:47:52,427 - mmseg - INFO - Iter [49750/160000] lr: 3.750e-05, eta: 8:44:11, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2071, decode.acc_seg: 91.8045, loss: 0.2071 2023-03-04 00:48:04,098 - mmseg - INFO - Iter [49800/160000] lr: 3.750e-05, eta: 8:43:51, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2048, decode.acc_seg: 91.8398, loss: 0.2048 2023-03-04 00:48:18,116 - mmseg - INFO - Iter [49850/160000] lr: 3.750e-05, eta: 8:43:36, time: 0.281, data_time: 0.054, memory: 67409, decode.loss_ce: 0.2084, decode.acc_seg: 91.6936, loss: 0.2084 2023-03-04 00:48:29,914 - mmseg - INFO - Iter [49900/160000] lr: 3.750e-05, eta: 8:43:16, time: 0.236, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2040, decode.acc_seg: 91.7526, loss: 0.2040 2023-03-04 00:48:41,748 - mmseg - INFO - Iter [49950/160000] lr: 3.750e-05, eta: 8:42:57, time: 0.237, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2130, decode.acc_seg: 91.6525, loss: 0.2130 2023-03-04 00:48:53,358 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 00:48:53,358 - mmseg - INFO - Iter [50000/160000] lr: 3.750e-05, eta: 8:42:36, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2039, decode.acc_seg: 91.9421, loss: 0.2039 2023-03-04 00:49:04,876 - mmseg - INFO - Iter [50050/160000] lr: 3.750e-05, eta: 8:42:16, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2130, decode.acc_seg: 91.7118, loss: 0.2130 2023-03-04 00:49:16,576 - mmseg - INFO - Iter [50100/160000] lr: 3.750e-05, eta: 8:41:56, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2088, decode.acc_seg: 91.6853, loss: 0.2088 2023-03-04 00:49:28,284 - mmseg - INFO - Iter [50150/160000] lr: 3.750e-05, eta: 8:41:36, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2136, decode.acc_seg: 91.4304, loss: 0.2136 2023-03-04 00:49:39,915 - mmseg - INFO - Iter [50200/160000] lr: 3.750e-05, eta: 8:41:17, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1996, decode.acc_seg: 92.0162, loss: 0.1996 2023-03-04 00:49:51,846 - mmseg - INFO - Iter [50250/160000] lr: 3.750e-05, eta: 8:40:57, time: 0.239, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2159, decode.acc_seg: 91.3354, loss: 0.2159 2023-03-04 00:50:03,521 - mmseg - INFO - Iter [50300/160000] lr: 3.750e-05, eta: 8:40:37, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2057, decode.acc_seg: 91.7430, loss: 0.2057 2023-03-04 00:50:15,139 - mmseg - INFO - Iter [50350/160000] lr: 3.750e-05, eta: 8:40:17, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2073, decode.acc_seg: 91.8202, loss: 0.2073 2023-03-04 00:50:26,769 - mmseg - INFO - Iter [50400/160000] lr: 3.750e-05, eta: 8:39:58, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1953, decode.acc_seg: 92.2523, loss: 0.1953 2023-03-04 00:50:38,322 - mmseg - INFO - Iter [50450/160000] lr: 3.750e-05, eta: 8:39:38, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2129, decode.acc_seg: 91.6454, loss: 0.2129 2023-03-04 00:50:52,504 - mmseg - INFO - Iter [50500/160000] lr: 3.750e-05, eta: 8:39:23, time: 0.284, data_time: 0.054, memory: 67409, decode.loss_ce: 0.1996, decode.acc_seg: 91.9551, loss: 0.1996 2023-03-04 00:51:04,003 - mmseg - INFO - Iter [50550/160000] lr: 3.750e-05, eta: 8:39:03, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2133, decode.acc_seg: 91.4816, loss: 0.2133 2023-03-04 00:51:15,670 - mmseg - INFO - Iter [50600/160000] lr: 3.750e-05, eta: 8:38:43, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2029, decode.acc_seg: 91.8188, loss: 0.2029 2023-03-04 00:51:27,279 - mmseg - INFO - Iter [50650/160000] lr: 3.750e-05, eta: 8:38:23, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2099, decode.acc_seg: 91.5434, loss: 0.2099 2023-03-04 00:51:38,783 - mmseg - INFO - Iter [50700/160000] lr: 3.750e-05, eta: 8:38:03, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2028, decode.acc_seg: 91.9708, loss: 0.2028 2023-03-04 00:51:50,442 - mmseg - INFO - Iter [50750/160000] lr: 3.750e-05, eta: 8:37:44, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2112, decode.acc_seg: 91.5312, loss: 0.2112 2023-03-04 00:52:02,273 - mmseg - INFO - Iter [50800/160000] lr: 3.750e-05, eta: 8:37:24, time: 0.237, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1984, decode.acc_seg: 92.1193, loss: 0.1984 2023-03-04 00:52:13,710 - mmseg - INFO - Iter [50850/160000] lr: 3.750e-05, eta: 8:37:04, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2005, decode.acc_seg: 91.8137, loss: 0.2005 2023-03-04 00:52:25,151 - mmseg - INFO - Iter [50900/160000] lr: 3.750e-05, eta: 8:36:44, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2117, decode.acc_seg: 91.4823, loss: 0.2117 2023-03-04 00:52:36,701 - mmseg - INFO - Iter [50950/160000] lr: 3.750e-05, eta: 8:36:24, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2088, decode.acc_seg: 91.6866, loss: 0.2088 2023-03-04 00:52:48,314 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 00:52:48,314 - mmseg - INFO - Iter [51000/160000] lr: 3.750e-05, eta: 8:36:04, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2157, decode.acc_seg: 91.3395, loss: 0.2157 2023-03-04 00:52:59,779 - mmseg - INFO - Iter [51050/160000] lr: 3.750e-05, eta: 8:35:44, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2043, decode.acc_seg: 91.7962, loss: 0.2043 2023-03-04 00:53:11,305 - mmseg - INFO - Iter [51100/160000] lr: 3.750e-05, eta: 8:35:24, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2068, decode.acc_seg: 91.7233, loss: 0.2068 2023-03-04 00:53:25,627 - mmseg - INFO - Iter [51150/160000] lr: 3.750e-05, eta: 8:35:10, time: 0.286, data_time: 0.053, memory: 67409, decode.loss_ce: 0.2115, decode.acc_seg: 91.5757, loss: 0.2115 2023-03-04 00:53:37,111 - mmseg - INFO - Iter [51200/160000] lr: 3.750e-05, eta: 8:34:50, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2027, decode.acc_seg: 91.7917, loss: 0.2027 2023-03-04 00:53:48,620 - mmseg - INFO - Iter [51250/160000] lr: 3.750e-05, eta: 8:34:31, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1988, decode.acc_seg: 92.0960, loss: 0.1988 2023-03-04 00:54:00,051 - mmseg - INFO - Iter [51300/160000] lr: 3.750e-05, eta: 8:34:10, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2043, decode.acc_seg: 91.9590, loss: 0.2043 2023-03-04 00:54:11,499 - mmseg - INFO - Iter [51350/160000] lr: 3.750e-05, eta: 8:33:50, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2142, decode.acc_seg: 91.4619, loss: 0.2142 2023-03-04 00:54:23,118 - mmseg - INFO - Iter [51400/160000] lr: 3.750e-05, eta: 8:33:31, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2008, decode.acc_seg: 92.0636, loss: 0.2008 2023-03-04 00:54:34,721 - mmseg - INFO - Iter [51450/160000] lr: 3.750e-05, eta: 8:33:11, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2059, decode.acc_seg: 91.8687, loss: 0.2059 2023-03-04 00:54:46,374 - mmseg - INFO - Iter [51500/160000] lr: 3.750e-05, eta: 8:32:52, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2062, decode.acc_seg: 91.7099, loss: 0.2062 2023-03-04 00:54:58,132 - mmseg - INFO - Iter [51550/160000] lr: 3.750e-05, eta: 8:32:32, time: 0.235, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2075, decode.acc_seg: 91.7422, loss: 0.2075 2023-03-04 00:55:09,630 - mmseg - INFO - Iter [51600/160000] lr: 3.750e-05, eta: 8:32:13, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2086, decode.acc_seg: 91.7052, loss: 0.2086 2023-03-04 00:55:21,314 - mmseg - INFO - Iter [51650/160000] lr: 3.750e-05, eta: 8:31:53, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2063, decode.acc_seg: 91.7186, loss: 0.2063 2023-03-04 00:55:32,845 - mmseg - INFO - Iter [51700/160000] lr: 3.750e-05, eta: 8:31:33, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2112, decode.acc_seg: 91.4097, loss: 0.2112 2023-03-04 00:55:46,812 - mmseg - INFO - Iter [51750/160000] lr: 3.750e-05, eta: 8:31:19, time: 0.279, data_time: 0.053, memory: 67409, decode.loss_ce: 0.2042, decode.acc_seg: 91.9000, loss: 0.2042 2023-03-04 00:55:58,612 - mmseg - INFO - Iter [51800/160000] lr: 3.750e-05, eta: 8:31:00, time: 0.236, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2149, decode.acc_seg: 91.4084, loss: 0.2149 2023-03-04 00:56:10,075 - mmseg - INFO - Iter [51850/160000] lr: 3.750e-05, eta: 8:30:40, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2083, decode.acc_seg: 91.7405, loss: 0.2083 2023-03-04 00:56:21,615 - mmseg - INFO - Iter [51900/160000] lr: 3.750e-05, eta: 8:30:20, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1985, decode.acc_seg: 91.9338, loss: 0.1985 2023-03-04 00:56:33,212 - mmseg - INFO - Iter [51950/160000] lr: 3.750e-05, eta: 8:30:01, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2026, decode.acc_seg: 91.8478, loss: 0.2026 2023-03-04 00:56:44,704 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 00:56:44,704 - mmseg - INFO - Iter [52000/160000] lr: 3.750e-05, eta: 8:29:41, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2073, decode.acc_seg: 91.5699, loss: 0.2073 2023-03-04 00:56:56,222 - mmseg - INFO - Iter [52050/160000] lr: 3.750e-05, eta: 8:29:21, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2045, decode.acc_seg: 91.8016, loss: 0.2045 2023-03-04 00:57:07,766 - mmseg - INFO - Iter [52100/160000] lr: 3.750e-05, eta: 8:29:02, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2093, decode.acc_seg: 91.5810, loss: 0.2093 2023-03-04 00:57:19,292 - mmseg - INFO - Iter [52150/160000] lr: 3.750e-05, eta: 8:28:42, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2024, decode.acc_seg: 91.9927, loss: 0.2024 2023-03-04 00:57:30,753 - mmseg - INFO - Iter [52200/160000] lr: 3.750e-05, eta: 8:28:23, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2107, decode.acc_seg: 91.4745, loss: 0.2107 2023-03-04 00:57:42,706 - mmseg - INFO - Iter [52250/160000] lr: 3.750e-05, eta: 8:28:04, time: 0.239, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2203, decode.acc_seg: 91.1894, loss: 0.2203 2023-03-04 00:57:54,164 - mmseg - INFO - Iter [52300/160000] lr: 3.750e-05, eta: 8:27:44, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2131, decode.acc_seg: 91.5332, loss: 0.2131 2023-03-04 00:58:05,648 - mmseg - INFO - Iter [52350/160000] lr: 3.750e-05, eta: 8:27:25, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2086, decode.acc_seg: 91.5386, loss: 0.2086 2023-03-04 00:58:19,831 - mmseg - INFO - Iter [52400/160000] lr: 3.750e-05, eta: 8:27:11, time: 0.284, data_time: 0.054, memory: 67409, decode.loss_ce: 0.2086, decode.acc_seg: 91.6837, loss: 0.2086 2023-03-04 00:58:31,391 - mmseg - INFO - Iter [52450/160000] lr: 3.750e-05, eta: 8:26:51, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2053, decode.acc_seg: 91.6157, loss: 0.2053 2023-03-04 00:58:42,900 - mmseg - INFO - Iter [52500/160000] lr: 3.750e-05, eta: 8:26:32, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2101, decode.acc_seg: 91.5079, loss: 0.2101 2023-03-04 00:58:54,543 - mmseg - INFO - Iter [52550/160000] lr: 3.750e-05, eta: 8:26:12, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1980, decode.acc_seg: 92.0404, loss: 0.1980 2023-03-04 00:59:06,037 - mmseg - INFO - Iter [52600/160000] lr: 3.750e-05, eta: 8:25:53, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2054, decode.acc_seg: 91.7698, loss: 0.2054 2023-03-04 00:59:17,603 - mmseg - INFO - Iter [52650/160000] lr: 3.750e-05, eta: 8:25:34, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2101, decode.acc_seg: 91.7157, loss: 0.2101 2023-03-04 00:59:29,349 - mmseg - INFO - Iter [52700/160000] lr: 3.750e-05, eta: 8:25:15, time: 0.235, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2074, decode.acc_seg: 91.5765, loss: 0.2074 2023-03-04 00:59:40,924 - mmseg - INFO - Iter [52750/160000] lr: 3.750e-05, eta: 8:24:55, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2080, decode.acc_seg: 91.7783, loss: 0.2080 2023-03-04 00:59:52,376 - mmseg - INFO - Iter [52800/160000] lr: 3.750e-05, eta: 8:24:36, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2092, decode.acc_seg: 91.5995, loss: 0.2092 2023-03-04 01:00:03,958 - mmseg - INFO - Iter [52850/160000] lr: 3.750e-05, eta: 8:24:16, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2069, decode.acc_seg: 91.8014, loss: 0.2069 2023-03-04 01:00:15,509 - mmseg - INFO - Iter [52900/160000] lr: 3.750e-05, eta: 8:23:57, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2093, decode.acc_seg: 91.6542, loss: 0.2093 2023-03-04 01:00:26,978 - mmseg - INFO - Iter [52950/160000] lr: 3.750e-05, eta: 8:23:38, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2051, decode.acc_seg: 91.9489, loss: 0.2051 2023-03-04 01:00:38,521 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 01:00:38,521 - mmseg - INFO - Iter [53000/160000] lr: 3.750e-05, eta: 8:23:18, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2061, decode.acc_seg: 91.7275, loss: 0.2061 2023-03-04 01:00:52,597 - mmseg - INFO - Iter [53050/160000] lr: 3.750e-05, eta: 8:23:04, time: 0.281, data_time: 0.053, memory: 67409, decode.loss_ce: 0.2072, decode.acc_seg: 91.6707, loss: 0.2072 2023-03-04 01:01:04,109 - mmseg - INFO - Iter [53100/160000] lr: 3.750e-05, eta: 8:22:45, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2097, decode.acc_seg: 91.6775, loss: 0.2097 2023-03-04 01:01:15,788 - mmseg - INFO - Iter [53150/160000] lr: 3.750e-05, eta: 8:22:26, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2162, decode.acc_seg: 91.3471, loss: 0.2162 2023-03-04 01:01:27,357 - mmseg - INFO - Iter [53200/160000] lr: 3.750e-05, eta: 8:22:07, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2058, decode.acc_seg: 91.8036, loss: 0.2058 2023-03-04 01:01:38,891 - mmseg - INFO - Iter [53250/160000] lr: 3.750e-05, eta: 8:21:47, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2059, decode.acc_seg: 91.7339, loss: 0.2059 2023-03-04 01:01:50,790 - mmseg - INFO - Iter [53300/160000] lr: 3.750e-05, eta: 8:21:29, time: 0.238, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2016, decode.acc_seg: 91.9595, loss: 0.2016 2023-03-04 01:02:02,501 - mmseg - INFO - Iter [53350/160000] lr: 3.750e-05, eta: 8:21:10, time: 0.235, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2004, decode.acc_seg: 91.9334, loss: 0.2004 2023-03-04 01:02:14,106 - mmseg - INFO - Iter [53400/160000] lr: 3.750e-05, eta: 8:20:51, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1977, decode.acc_seg: 92.0495, loss: 0.1977 2023-03-04 01:02:25,664 - mmseg - INFO - Iter [53450/160000] lr: 3.750e-05, eta: 8:20:32, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2153, decode.acc_seg: 91.6143, loss: 0.2153 2023-03-04 01:02:37,157 - mmseg - INFO - Iter [53500/160000] lr: 3.750e-05, eta: 8:20:12, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2050, decode.acc_seg: 91.6904, loss: 0.2050 2023-03-04 01:02:48,853 - mmseg - INFO - Iter [53550/160000] lr: 3.750e-05, eta: 8:19:54, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1979, decode.acc_seg: 91.9786, loss: 0.1979 2023-03-04 01:03:00,284 - mmseg - INFO - Iter [53600/160000] lr: 3.750e-05, eta: 8:19:34, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2045, decode.acc_seg: 91.8774, loss: 0.2045 2023-03-04 01:03:14,444 - mmseg - INFO - Iter [53650/160000] lr: 3.750e-05, eta: 8:19:20, time: 0.283, data_time: 0.053, memory: 67409, decode.loss_ce: 0.2097, decode.acc_seg: 91.7051, loss: 0.2097 2023-03-04 01:03:26,253 - mmseg - INFO - Iter [53700/160000] lr: 3.750e-05, eta: 8:19:02, time: 0.236, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2026, decode.acc_seg: 91.9104, loss: 0.2026 2023-03-04 01:03:38,136 - mmseg - INFO - Iter [53750/160000] lr: 3.750e-05, eta: 8:18:43, time: 0.238, data_time: 0.008, memory: 67409, decode.loss_ce: 0.2031, decode.acc_seg: 91.7987, loss: 0.2031 2023-03-04 01:03:49,784 - mmseg - INFO - Iter [53800/160000] lr: 3.750e-05, eta: 8:18:24, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2076, decode.acc_seg: 91.5926, loss: 0.2076 2023-03-04 01:04:01,383 - mmseg - INFO - Iter [53850/160000] lr: 3.750e-05, eta: 8:18:05, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2102, decode.acc_seg: 91.5924, loss: 0.2102 2023-03-04 01:04:12,871 - mmseg - INFO - Iter [53900/160000] lr: 3.750e-05, eta: 8:17:46, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2009, decode.acc_seg: 91.9468, loss: 0.2009 2023-03-04 01:04:24,372 - mmseg - INFO - Iter [53950/160000] lr: 3.750e-05, eta: 8:17:27, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2100, decode.acc_seg: 91.6219, loss: 0.2100 2023-03-04 01:04:35,884 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 01:04:35,884 - mmseg - INFO - Iter [54000/160000] lr: 3.750e-05, eta: 8:17:08, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1962, decode.acc_seg: 92.0216, loss: 0.1962 2023-03-04 01:04:47,449 - mmseg - INFO - Iter [54050/160000] lr: 3.750e-05, eta: 8:16:49, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2102, decode.acc_seg: 91.6002, loss: 0.2102 2023-03-04 01:04:59,179 - mmseg - INFO - Iter [54100/160000] lr: 3.750e-05, eta: 8:16:30, time: 0.235, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2016, decode.acc_seg: 91.9387, loss: 0.2016 2023-03-04 01:05:10,700 - mmseg - INFO - Iter [54150/160000] lr: 3.750e-05, eta: 8:16:11, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2083, decode.acc_seg: 91.7293, loss: 0.2083 2023-03-04 01:05:22,138 - mmseg - INFO - Iter [54200/160000] lr: 3.750e-05, eta: 8:15:52, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2024, decode.acc_seg: 91.7794, loss: 0.2024 2023-03-04 01:05:33,585 - mmseg - INFO - Iter [54250/160000] lr: 3.750e-05, eta: 8:15:33, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2006, decode.acc_seg: 91.9667, loss: 0.2006 2023-03-04 01:05:47,571 - mmseg - INFO - Iter [54300/160000] lr: 3.750e-05, eta: 8:15:19, time: 0.280, data_time: 0.055, memory: 67409, decode.loss_ce: 0.2135, decode.acc_seg: 91.4501, loss: 0.2135 2023-03-04 01:05:59,148 - mmseg - INFO - Iter [54350/160000] lr: 3.750e-05, eta: 8:15:00, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2058, decode.acc_seg: 91.8327, loss: 0.2058 2023-03-04 01:06:10,712 - mmseg - INFO - Iter [54400/160000] lr: 3.750e-05, eta: 8:14:41, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2105, decode.acc_seg: 91.5956, loss: 0.2105 2023-03-04 01:06:22,251 - mmseg - INFO - Iter [54450/160000] lr: 3.750e-05, eta: 8:14:22, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2017, decode.acc_seg: 91.8778, loss: 0.2017 2023-03-04 01:06:33,884 - mmseg - INFO - Iter [54500/160000] lr: 3.750e-05, eta: 8:14:03, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2075, decode.acc_seg: 91.7503, loss: 0.2075 2023-03-04 01:06:45,334 - mmseg - INFO - Iter [54550/160000] lr: 3.750e-05, eta: 8:13:44, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1990, decode.acc_seg: 92.0118, loss: 0.1990 2023-03-04 01:06:56,807 - mmseg - INFO - Iter [54600/160000] lr: 3.750e-05, eta: 8:13:25, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2024, decode.acc_seg: 91.9134, loss: 0.2024 2023-03-04 01:07:08,349 - mmseg - INFO - Iter [54650/160000] lr: 3.750e-05, eta: 8:13:06, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2094, decode.acc_seg: 91.6536, loss: 0.2094 2023-03-04 01:07:20,046 - mmseg - INFO - Iter [54700/160000] lr: 3.750e-05, eta: 8:12:48, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2084, decode.acc_seg: 91.5654, loss: 0.2084 2023-03-04 01:07:31,516 - mmseg - INFO - Iter [54750/160000] lr: 3.750e-05, eta: 8:12:29, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2113, decode.acc_seg: 91.5800, loss: 0.2113 2023-03-04 01:07:43,377 - mmseg - INFO - Iter [54800/160000] lr: 3.750e-05, eta: 8:12:11, time: 0.237, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1989, decode.acc_seg: 92.0070, loss: 0.1989 2023-03-04 01:07:54,824 - mmseg - INFO - Iter [54850/160000] lr: 3.750e-05, eta: 8:11:52, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2054, decode.acc_seg: 91.7853, loss: 0.2054 2023-03-04 01:08:08,912 - mmseg - INFO - Iter [54900/160000] lr: 3.750e-05, eta: 8:11:38, time: 0.282, data_time: 0.055, memory: 67409, decode.loss_ce: 0.2054, decode.acc_seg: 91.7506, loss: 0.2054 2023-03-04 01:08:20,614 - mmseg - INFO - Iter [54950/160000] lr: 3.750e-05, eta: 8:11:19, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2091, decode.acc_seg: 91.7053, loss: 0.2091 2023-03-04 01:08:32,063 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 01:08:32,063 - mmseg - INFO - Iter [55000/160000] lr: 3.750e-05, eta: 8:11:00, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2121, decode.acc_seg: 91.5608, loss: 0.2121 2023-03-04 01:08:43,679 - mmseg - INFO - Iter [55050/160000] lr: 3.750e-05, eta: 8:10:42, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2162, decode.acc_seg: 91.3655, loss: 0.2162 2023-03-04 01:08:55,227 - mmseg - INFO - Iter [55100/160000] lr: 3.750e-05, eta: 8:10:23, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2068, decode.acc_seg: 91.7727, loss: 0.2068 2023-03-04 01:09:06,887 - mmseg - INFO - Iter [55150/160000] lr: 3.750e-05, eta: 8:10:04, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2010, decode.acc_seg: 92.0604, loss: 0.2010 2023-03-04 01:09:18,575 - mmseg - INFO - Iter [55200/160000] lr: 3.750e-05, eta: 8:09:46, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2147, decode.acc_seg: 91.4046, loss: 0.2147 2023-03-04 01:09:30,096 - mmseg - INFO - Iter [55250/160000] lr: 3.750e-05, eta: 8:09:27, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2069, decode.acc_seg: 91.8006, loss: 0.2069 2023-03-04 01:09:41,728 - mmseg - INFO - Iter [55300/160000] lr: 3.750e-05, eta: 8:09:09, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2135, decode.acc_seg: 91.5496, loss: 0.2135 2023-03-04 01:09:53,260 - mmseg - INFO - Iter [55350/160000] lr: 3.750e-05, eta: 8:08:50, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2113, decode.acc_seg: 91.5435, loss: 0.2113 2023-03-04 01:10:04,684 - mmseg - INFO - Iter [55400/160000] lr: 3.750e-05, eta: 8:08:31, time: 0.228, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2008, decode.acc_seg: 91.8825, loss: 0.2008 2023-03-04 01:10:16,147 - mmseg - INFO - Iter [55450/160000] lr: 3.750e-05, eta: 8:08:12, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2100, decode.acc_seg: 91.6242, loss: 0.2100 2023-03-04 01:10:27,706 - mmseg - INFO - Iter [55500/160000] lr: 3.750e-05, eta: 8:07:54, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2081, decode.acc_seg: 91.7935, loss: 0.2081 2023-03-04 01:10:41,725 - mmseg - INFO - Iter [55550/160000] lr: 3.750e-05, eta: 8:07:40, time: 0.280, data_time: 0.054, memory: 67409, decode.loss_ce: 0.2194, decode.acc_seg: 91.2258, loss: 0.2194 2023-03-04 01:10:53,374 - mmseg - INFO - Iter [55600/160000] lr: 3.750e-05, eta: 8:07:21, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2028, decode.acc_seg: 91.9406, loss: 0.2028 2023-03-04 01:11:04,864 - mmseg - INFO - Iter [55650/160000] lr: 3.750e-05, eta: 8:07:02, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2029, decode.acc_seg: 91.7971, loss: 0.2029 2023-03-04 01:11:16,370 - mmseg - INFO - Iter [55700/160000] lr: 3.750e-05, eta: 8:06:44, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2026, decode.acc_seg: 91.8169, loss: 0.2026 2023-03-04 01:11:28,031 - mmseg - INFO - Iter [55750/160000] lr: 3.750e-05, eta: 8:06:25, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2023, decode.acc_seg: 91.9492, loss: 0.2023 2023-03-04 01:11:39,822 - mmseg - INFO - Iter [55800/160000] lr: 3.750e-05, eta: 8:06:07, time: 0.236, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1952, decode.acc_seg: 92.1922, loss: 0.1952 2023-03-04 01:11:51,296 - mmseg - INFO - Iter [55850/160000] lr: 3.750e-05, eta: 8:05:49, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2082, decode.acc_seg: 91.6565, loss: 0.2082 2023-03-04 01:12:02,818 - mmseg - INFO - Iter [55900/160000] lr: 3.750e-05, eta: 8:05:30, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2086, decode.acc_seg: 91.6748, loss: 0.2086 2023-03-04 01:12:14,232 - mmseg - INFO - Iter [55950/160000] lr: 3.750e-05, eta: 8:05:11, time: 0.228, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2073, decode.acc_seg: 91.5956, loss: 0.2073 2023-03-04 01:12:25,723 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 01:12:25,724 - mmseg - INFO - Iter [56000/160000] lr: 3.750e-05, eta: 8:04:53, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2060, decode.acc_seg: 91.8569, loss: 0.2060 2023-03-04 01:12:37,528 - mmseg - INFO - Iter [56050/160000] lr: 3.750e-05, eta: 8:04:34, time: 0.236, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1996, decode.acc_seg: 91.7578, loss: 0.1996 2023-03-04 01:12:49,340 - mmseg - INFO - Iter [56100/160000] lr: 3.750e-05, eta: 8:04:16, time: 0.236, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2092, decode.acc_seg: 91.6480, loss: 0.2092 2023-03-04 01:13:00,828 - mmseg - INFO - Iter [56150/160000] lr: 3.750e-05, eta: 8:03:58, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2079, decode.acc_seg: 91.6573, loss: 0.2079 2023-03-04 01:13:15,091 - mmseg - INFO - Iter [56200/160000] lr: 3.750e-05, eta: 8:03:44, time: 0.286, data_time: 0.054, memory: 67409, decode.loss_ce: 0.2103, decode.acc_seg: 91.6428, loss: 0.2103 2023-03-04 01:13:26,705 - mmseg - INFO - Iter [56250/160000] lr: 3.750e-05, eta: 8:03:26, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2078, decode.acc_seg: 91.7818, loss: 0.2078 2023-03-04 01:13:38,391 - mmseg - INFO - Iter [56300/160000] lr: 3.750e-05, eta: 8:03:08, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2065, decode.acc_seg: 91.6830, loss: 0.2065 2023-03-04 01:13:50,004 - mmseg - INFO - Iter [56350/160000] lr: 3.750e-05, eta: 8:02:50, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2001, decode.acc_seg: 91.9742, loss: 0.2001 2023-03-04 01:14:01,828 - mmseg - INFO - Iter [56400/160000] lr: 3.750e-05, eta: 8:02:32, time: 0.236, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2090, decode.acc_seg: 91.6883, loss: 0.2090 2023-03-04 01:14:13,231 - mmseg - INFO - Iter [56450/160000] lr: 3.750e-05, eta: 8:02:13, time: 0.228, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2123, decode.acc_seg: 91.5507, loss: 0.2123 2023-03-04 01:14:24,682 - mmseg - INFO - Iter [56500/160000] lr: 3.750e-05, eta: 8:01:54, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2126, decode.acc_seg: 91.5657, loss: 0.2126 2023-03-04 01:14:36,243 - mmseg - INFO - Iter [56550/160000] lr: 3.750e-05, eta: 8:01:36, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2029, decode.acc_seg: 91.9849, loss: 0.2029 2023-03-04 01:14:47,706 - mmseg - INFO - Iter [56600/160000] lr: 3.750e-05, eta: 8:01:17, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2043, decode.acc_seg: 91.7492, loss: 0.2043 2023-03-04 01:14:59,123 - mmseg - INFO - Iter 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0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2002, decode.acc_seg: 91.8720, loss: 0.2002 2023-03-04 01:16:57,417 - mmseg - INFO - Iter [57150/160000] lr: 3.750e-05, eta: 7:58:01, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1985, decode.acc_seg: 92.0839, loss: 0.1985 2023-03-04 01:17:09,062 - mmseg - INFO - Iter [57200/160000] lr: 3.750e-05, eta: 7:57:43, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2104, decode.acc_seg: 91.5851, loss: 0.2104 2023-03-04 01:17:20,532 - mmseg - INFO - Iter [57250/160000] lr: 3.750e-05, eta: 7:57:24, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2090, decode.acc_seg: 91.6998, loss: 0.2090 2023-03-04 01:17:32,179 - mmseg - INFO - Iter [57300/160000] lr: 3.750e-05, eta: 7:57:06, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2030, decode.acc_seg: 91.8973, loss: 0.2030 2023-03-04 01:17:43,644 - mmseg - INFO - Iter [57350/160000] lr: 3.750e-05, eta: 7:56:48, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2033, decode.acc_seg: 91.7324, loss: 0.2033 2023-03-04 01:17:55,104 - mmseg - INFO - Iter [57400/160000] lr: 3.750e-05, eta: 7:56:30, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2079, decode.acc_seg: 91.7066, loss: 0.2079 2023-03-04 01:18:09,086 - mmseg - INFO - Iter [57450/160000] lr: 3.750e-05, eta: 7:56:16, time: 0.280, data_time: 0.055, memory: 67409, decode.loss_ce: 0.2036, decode.acc_seg: 91.8620, loss: 0.2036 2023-03-04 01:18:20,552 - mmseg - INFO - Iter [57500/160000] lr: 3.750e-05, eta: 7:55:57, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2096, decode.acc_seg: 91.5785, loss: 0.2096 2023-03-04 01:18:32,003 - mmseg - INFO - Iter [57550/160000] lr: 3.750e-05, eta: 7:55:39, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2081, decode.acc_seg: 91.7232, loss: 0.2081 2023-03-04 01:18:43,552 - mmseg - INFO - Iter [57600/160000] lr: 3.750e-05, eta: 7:55:21, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1953, decode.acc_seg: 92.0786, loss: 0.1953 2023-03-04 01:18:55,239 - mmseg - INFO - Iter [57650/160000] lr: 3.750e-05, eta: 7:55:03, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2059, decode.acc_seg: 91.8396, loss: 0.2059 2023-03-04 01:19:06,641 - mmseg - INFO - Iter [57700/160000] lr: 3.750e-05, eta: 7:54:45, time: 0.228, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2119, decode.acc_seg: 91.6327, loss: 0.2119 2023-03-04 01:19:18,220 - mmseg - INFO - Iter [57750/160000] lr: 3.750e-05, eta: 7:54:27, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2093, decode.acc_seg: 91.7108, loss: 0.2093 2023-03-04 01:19:29,715 - mmseg - INFO - Iter [57800/160000] lr: 3.750e-05, eta: 7:54:08, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2018, decode.acc_seg: 91.9549, loss: 0.2018 2023-03-04 01:19:41,168 - mmseg - INFO - Iter [57850/160000] lr: 3.750e-05, eta: 7:53:50, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2184, decode.acc_seg: 91.4803, loss: 0.2184 2023-03-04 01:19:52,650 - mmseg - INFO - Iter [57900/160000] lr: 3.750e-05, eta: 7:53:32, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2071, decode.acc_seg: 91.7824, loss: 0.2071 2023-03-04 01:20:04,243 - mmseg - INFO - Iter [57950/160000] lr: 3.750e-05, eta: 7:53:14, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2062, decode.acc_seg: 91.8223, loss: 0.2062 2023-03-04 01:20:15,741 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 01:20:15,741 - mmseg - INFO - Iter [58000/160000] lr: 3.750e-05, eta: 7:52:56, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2031, decode.acc_seg: 91.8082, loss: 0.2031 2023-03-04 01:20:27,343 - mmseg - INFO - Iter [58050/160000] lr: 3.750e-05, eta: 7:52:38, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2094, decode.acc_seg: 91.5607, loss: 0.2094 2023-03-04 01:20:41,605 - mmseg - INFO - Iter [58100/160000] lr: 3.750e-05, eta: 7:52:24, time: 0.285, data_time: 0.056, memory: 67409, decode.loss_ce: 0.2065, decode.acc_seg: 91.6428, loss: 0.2065 2023-03-04 01:20:53,124 - mmseg - INFO - Iter [58150/160000] lr: 3.750e-05, eta: 7:52:06, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2020, decode.acc_seg: 91.9603, loss: 0.2020 2023-03-04 01:21:04,579 - mmseg - INFO - Iter [58200/160000] lr: 3.750e-05, eta: 7:51:48, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2027, decode.acc_seg: 91.8379, loss: 0.2027 2023-03-04 01:21:16,129 - mmseg - INFO - Iter [58250/160000] lr: 3.750e-05, eta: 7:51:30, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2043, decode.acc_seg: 91.7462, loss: 0.2043 2023-03-04 01:21:27,810 - mmseg - INFO - Iter [58300/160000] lr: 3.750e-05, eta: 7:51:12, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2067, decode.acc_seg: 91.6313, loss: 0.2067 2023-03-04 01:21:39,428 - mmseg - INFO - Iter [58350/160000] lr: 3.750e-05, eta: 7:50:54, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2063, decode.acc_seg: 91.7575, loss: 0.2063 2023-03-04 01:21:51,082 - mmseg - INFO - Iter [58400/160000] lr: 3.750e-05, eta: 7:50:37, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2107, decode.acc_seg: 91.6292, loss: 0.2107 2023-03-04 01:22:02,576 - mmseg - INFO - Iter [58450/160000] lr: 3.750e-05, eta: 7:50:19, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1975, decode.acc_seg: 92.0405, loss: 0.1975 2023-03-04 01:22:14,292 - mmseg - INFO - Iter [58500/160000] lr: 3.750e-05, eta: 7:50:01, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1996, decode.acc_seg: 92.0680, loss: 0.1996 2023-03-04 01:22:25,794 - mmseg - INFO - Iter [58550/160000] lr: 3.750e-05, eta: 7:49:43, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2106, decode.acc_seg: 91.8044, loss: 0.2106 2023-03-04 01:22:37,310 - mmseg - INFO - Iter [58600/160000] lr: 3.750e-05, eta: 7:49:25, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2086, decode.acc_seg: 91.5689, loss: 0.2086 2023-03-04 01:22:48,879 - mmseg - INFO - Iter [58650/160000] lr: 3.750e-05, eta: 7:49:07, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2137, decode.acc_seg: 91.6011, loss: 0.2137 2023-03-04 01:23:02,784 - mmseg - INFO - Iter [58700/160000] lr: 3.750e-05, eta: 7:48:53, time: 0.278, data_time: 0.054, memory: 67409, decode.loss_ce: 0.2112, decode.acc_seg: 91.6665, loss: 0.2112 2023-03-04 01:23:14,201 - mmseg - INFO - Iter [58750/160000] lr: 3.750e-05, eta: 7:48:35, time: 0.228, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2094, decode.acc_seg: 91.5236, loss: 0.2094 2023-03-04 01:23:25,726 - mmseg - INFO - Iter [58800/160000] lr: 3.750e-05, eta: 7:48:17, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2084, decode.acc_seg: 91.6948, loss: 0.2084 2023-03-04 01:23:37,486 - mmseg - INFO - Iter [58850/160000] lr: 3.750e-05, eta: 7:48:00, time: 0.235, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2011, decode.acc_seg: 91.8954, loss: 0.2011 2023-03-04 01:23:48,967 - mmseg - INFO - Iter [58900/160000] lr: 3.750e-05, eta: 7:47:42, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2058, decode.acc_seg: 91.8073, loss: 0.2058 2023-03-04 01:24:00,398 - mmseg - INFO - Iter [58950/160000] lr: 3.750e-05, eta: 7:47:23, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2046, decode.acc_seg: 91.8961, loss: 0.2046 2023-03-04 01:24:12,263 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 01:24:12,264 - mmseg - INFO - Iter [59000/160000] lr: 3.750e-05, eta: 7:47:06, time: 0.237, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2100, decode.acc_seg: 91.7159, loss: 0.2100 2023-03-04 01:24:23,740 - mmseg - INFO - Iter [59050/160000] lr: 3.750e-05, eta: 7:46:48, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2017, decode.acc_seg: 91.8549, loss: 0.2017 2023-03-04 01:24:35,588 - mmseg - INFO - Iter [59100/160000] lr: 3.750e-05, eta: 7:46:31, time: 0.237, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2040, decode.acc_seg: 91.6955, loss: 0.2040 2023-03-04 01:24:47,091 - mmseg - INFO - Iter [59150/160000] lr: 3.750e-05, eta: 7:46:13, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2121, decode.acc_seg: 91.6399, loss: 0.2121 2023-03-04 01:24:58,763 - mmseg - INFO - Iter [59200/160000] lr: 3.750e-05, eta: 7:45:55, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2017, decode.acc_seg: 91.9653, loss: 0.2017 2023-03-04 01:25:10,531 - mmseg - INFO - Iter [59250/160000] lr: 3.750e-05, eta: 7:45:38, time: 0.235, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2035, decode.acc_seg: 92.1160, loss: 0.2035 2023-03-04 01:25:22,002 - mmseg - INFO - Iter [59300/160000] lr: 3.750e-05, eta: 7:45:20, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2092, decode.acc_seg: 91.7741, loss: 0.2092 2023-03-04 01:25:36,329 - mmseg - INFO - Iter [59350/160000] lr: 3.750e-05, eta: 7:45:07, time: 0.286, data_time: 0.053, memory: 67409, decode.loss_ce: 0.2116, decode.acc_seg: 91.5659, loss: 0.2116 2023-03-04 01:25:48,045 - mmseg - INFO - Iter [59400/160000] lr: 3.750e-05, eta: 7:44:49, time: 0.235, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2052, decode.acc_seg: 91.8758, loss: 0.2052 2023-03-04 01:25:59,578 - mmseg - INFO - Iter [59450/160000] lr: 3.750e-05, eta: 7:44:32, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2033, decode.acc_seg: 91.9124, loss: 0.2033 2023-03-04 01:26:11,201 - mmseg - INFO - Iter [59500/160000] lr: 3.750e-05, eta: 7:44:14, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2045, decode.acc_seg: 91.7971, loss: 0.2045 2023-03-04 01:26:23,114 - mmseg - INFO - Iter [59550/160000] lr: 3.750e-05, eta: 7:43:57, time: 0.238, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2064, decode.acc_seg: 91.6684, loss: 0.2064 2023-03-04 01:26:34,829 - mmseg - INFO - Iter [59600/160000] lr: 3.750e-05, eta: 7:43:39, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2064, decode.acc_seg: 91.8437, loss: 0.2064 2023-03-04 01:26:46,362 - mmseg - INFO - Iter [59650/160000] lr: 3.750e-05, eta: 7:43:22, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2011, decode.acc_seg: 91.9366, loss: 0.2011 2023-03-04 01:26:57,845 - mmseg - INFO - Iter [59700/160000] lr: 3.750e-05, eta: 7:43:04, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2066, decode.acc_seg: 91.7130, loss: 0.2066 2023-03-04 01:27:09,455 - mmseg - INFO - Iter [59750/160000] lr: 3.750e-05, eta: 7:42:46, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2086, decode.acc_seg: 91.6637, loss: 0.2086 2023-03-04 01:27:20,927 - mmseg - INFO - Iter [59800/160000] lr: 3.750e-05, eta: 7:42:28, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2143, decode.acc_seg: 91.5231, loss: 0.2143 2023-03-04 01:27:32,622 - mmseg - INFO - Iter [59850/160000] lr: 3.750e-05, eta: 7:42:11, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1955, decode.acc_seg: 92.0599, loss: 0.1955 2023-03-04 01:27:44,292 - mmseg - INFO - Iter [59900/160000] lr: 3.750e-05, eta: 7:41:53, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1983, decode.acc_seg: 92.1909, loss: 0.1983 2023-03-04 01:27:58,190 - mmseg - INFO - Iter [59950/160000] lr: 3.750e-05, eta: 7:41:40, time: 0.278, data_time: 0.054, memory: 67409, decode.loss_ce: 0.2111, decode.acc_seg: 91.7183, loss: 0.2111 2023-03-04 01:28:09,718 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 01:28:09,718 - mmseg - INFO - Iter [60000/160000] lr: 3.750e-05, eta: 7:41:22, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2086, decode.acc_seg: 91.6592, loss: 0.2086 2023-03-04 01:28:21,204 - mmseg - INFO - Iter [60050/160000] lr: 1.875e-05, eta: 7:41:04, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2059, decode.acc_seg: 91.8077, loss: 0.2059 2023-03-04 01:28:32,680 - mmseg - INFO - Iter [60100/160000] lr: 1.875e-05, eta: 7:40:46, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2037, decode.acc_seg: 92.0144, loss: 0.2037 2023-03-04 01:28:44,237 - mmseg - INFO - Iter [60150/160000] lr: 1.875e-05, eta: 7:40:29, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2111, decode.acc_seg: 91.6981, loss: 0.2111 2023-03-04 01:28:56,051 - mmseg - INFO - Iter [60200/160000] lr: 1.875e-05, eta: 7:40:12, time: 0.236, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2072, decode.acc_seg: 91.6216, loss: 0.2072 2023-03-04 01:29:07,534 - mmseg - INFO - Iter [60250/160000] lr: 1.875e-05, eta: 7:39:54, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2095, decode.acc_seg: 91.5932, loss: 0.2095 2023-03-04 01:29:18,994 - mmseg - INFO - Iter [60300/160000] lr: 1.875e-05, eta: 7:39:36, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1995, decode.acc_seg: 91.9853, loss: 0.1995 2023-03-04 01:29:30,554 - mmseg - INFO - Iter [60350/160000] lr: 1.875e-05, eta: 7:39:19, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2041, decode.acc_seg: 91.7957, loss: 0.2041 2023-03-04 01:29:42,274 - mmseg - INFO - Iter [60400/160000] lr: 1.875e-05, eta: 7:39:01, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2031, decode.acc_seg: 91.6949, loss: 0.2031 2023-03-04 01:29:53,883 - mmseg - INFO - Iter [60450/160000] lr: 1.875e-05, eta: 7:38:44, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2021, decode.acc_seg: 91.8335, loss: 0.2021 2023-03-04 01:30:05,461 - mmseg - INFO - Iter [60500/160000] lr: 1.875e-05, eta: 7:38:26, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2062, decode.acc_seg: 91.6302, loss: 0.2062 2023-03-04 01:30:16,974 - mmseg - INFO - Iter [60550/160000] lr: 1.875e-05, eta: 7:38:09, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2041, decode.acc_seg: 91.7346, loss: 0.2041 2023-03-04 01:30:31,034 - mmseg - INFO - Iter [60600/160000] lr: 1.875e-05, eta: 7:37:55, time: 0.281, data_time: 0.057, memory: 67409, decode.loss_ce: 0.2008, decode.acc_seg: 92.0254, loss: 0.2008 2023-03-04 01:30:42,578 - mmseg - INFO - Iter [60650/160000] lr: 1.875e-05, eta: 7:37:38, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2000, decode.acc_seg: 92.1295, loss: 0.2000 2023-03-04 01:30:54,006 - mmseg - INFO - Iter [60700/160000] lr: 1.875e-05, eta: 7:37:20, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1973, decode.acc_seg: 92.0544, loss: 0.1973 2023-03-04 01:31:05,777 - mmseg - INFO - Iter [60750/160000] lr: 1.875e-05, eta: 7:37:03, time: 0.235, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1966, decode.acc_seg: 92.0053, loss: 0.1966 2023-03-04 01:31:17,262 - mmseg - INFO - Iter [60800/160000] lr: 1.875e-05, eta: 7:36:45, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2054, decode.acc_seg: 91.8003, loss: 0.2054 2023-03-04 01:31:28,929 - mmseg - INFO - Iter [60850/160000] lr: 1.875e-05, eta: 7:36:28, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2012, decode.acc_seg: 91.9467, loss: 0.2012 2023-03-04 01:31:40,545 - mmseg - INFO - Iter [60900/160000] lr: 1.875e-05, eta: 7:36:10, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2018, decode.acc_seg: 92.0476, loss: 0.2018 2023-03-04 01:31:52,036 - mmseg - INFO - Iter [60950/160000] lr: 1.875e-05, eta: 7:35:53, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1998, decode.acc_seg: 91.8026, loss: 0.1998 2023-03-04 01:32:03,635 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 01:32:03,635 - mmseg - INFO - Iter [61000/160000] lr: 1.875e-05, eta: 7:35:35, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2034, decode.acc_seg: 91.9076, loss: 0.2034 2023-03-04 01:32:15,343 - mmseg - INFO - Iter [61050/160000] lr: 1.875e-05, eta: 7:35:18, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2045, decode.acc_seg: 91.8673, loss: 0.2045 2023-03-04 01:32:26,921 - mmseg - INFO - Iter [61100/160000] lr: 1.875e-05, eta: 7:35:01, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2045, decode.acc_seg: 91.8268, loss: 0.2045 2023-03-04 01:32:38,662 - mmseg - INFO - Iter [61150/160000] lr: 1.875e-05, eta: 7:34:44, time: 0.235, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2119, decode.acc_seg: 91.6966, loss: 0.2119 2023-03-04 01:32:50,084 - mmseg - INFO - Iter [61200/160000] lr: 1.875e-05, eta: 7:34:26, time: 0.228, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2010, decode.acc_seg: 91.8544, loss: 0.2010 2023-03-04 01:33:04,093 - mmseg - INFO - Iter [61250/160000] lr: 1.875e-05, eta: 7:34:13, time: 0.280, data_time: 0.054, memory: 67409, decode.loss_ce: 0.2051, decode.acc_seg: 91.7723, loss: 0.2051 2023-03-04 01:33:15,606 - mmseg - INFO - Iter [61300/160000] lr: 1.875e-05, eta: 7:33:55, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2040, decode.acc_seg: 91.7454, loss: 0.2040 2023-03-04 01:33:27,244 - mmseg - INFO - Iter [61350/160000] lr: 1.875e-05, eta: 7:33:38, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2080, decode.acc_seg: 91.6923, loss: 0.2080 2023-03-04 01:33:38,805 - mmseg - INFO - Iter [61400/160000] lr: 1.875e-05, eta: 7:33:20, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2076, decode.acc_seg: 91.6811, loss: 0.2076 2023-03-04 01:33:50,478 - mmseg - INFO - Iter [61450/160000] lr: 1.875e-05, eta: 7:33:03, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2093, decode.acc_seg: 91.7165, loss: 0.2093 2023-03-04 01:34:01,887 - mmseg - INFO - Iter [61500/160000] lr: 1.875e-05, eta: 7:32:46, time: 0.228, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2009, decode.acc_seg: 92.0148, loss: 0.2009 2023-03-04 01:34:13,469 - mmseg - INFO - Iter [61550/160000] lr: 1.875e-05, eta: 7:32:28, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2096, decode.acc_seg: 91.6047, loss: 0.2096 2023-03-04 01:34:25,177 - mmseg - INFO - Iter [61600/160000] lr: 1.875e-05, eta: 7:32:11, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2055, decode.acc_seg: 91.6934, loss: 0.2055 2023-03-04 01:34:36,826 - mmseg - INFO - Iter [61650/160000] lr: 1.875e-05, eta: 7:31:54, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2012, decode.acc_seg: 92.0830, loss: 0.2012 2023-03-04 01:34:48,367 - mmseg - INFO - Iter [61700/160000] lr: 1.875e-05, eta: 7:31:37, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1986, decode.acc_seg: 91.9038, loss: 0.1986 2023-03-04 01:35:00,072 - mmseg - INFO - Iter [61750/160000] lr: 1.875e-05, eta: 7:31:20, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2018, decode.acc_seg: 91.9852, loss: 0.2018 2023-03-04 01:35:11,569 - mmseg - INFO - Iter [61800/160000] lr: 1.875e-05, eta: 7:31:02, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2038, decode.acc_seg: 91.9532, loss: 0.2038 2023-03-04 01:35:25,624 - mmseg - INFO - Iter [61850/160000] lr: 1.875e-05, eta: 7:30:49, time: 0.281, data_time: 0.055, memory: 67409, decode.loss_ce: 0.2032, decode.acc_seg: 91.8445, loss: 0.2032 2023-03-04 01:35:37,085 - mmseg - INFO - Iter [61900/160000] lr: 1.875e-05, eta: 7:30:31, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2074, decode.acc_seg: 91.6160, loss: 0.2074 2023-03-04 01:35:48,813 - mmseg - INFO - Iter [61950/160000] lr: 1.875e-05, eta: 7:30:14, time: 0.235, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2069, decode.acc_seg: 91.7617, loss: 0.2069 2023-03-04 01:36:00,298 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 01:36:00,298 - mmseg - INFO - Iter [62000/160000] lr: 1.875e-05, eta: 7:29:57, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1956, decode.acc_seg: 92.2273, loss: 0.1956 2023-03-04 01:36:11,903 - mmseg - INFO - Iter [62050/160000] lr: 1.875e-05, eta: 7:29:40, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2030, decode.acc_seg: 91.6886, loss: 0.2030 2023-03-04 01:36:23,392 - mmseg - INFO - Iter [62100/160000] lr: 1.875e-05, eta: 7:29:22, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2003, decode.acc_seg: 92.0429, loss: 0.2003 2023-03-04 01:36:34,886 - mmseg - INFO - Iter [62150/160000] lr: 1.875e-05, eta: 7:29:05, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2003, decode.acc_seg: 92.0852, loss: 0.2003 2023-03-04 01:36:46,438 - mmseg - INFO - Iter [62200/160000] lr: 1.875e-05, eta: 7:28:48, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2030, decode.acc_seg: 91.8351, loss: 0.2030 2023-03-04 01:36:57,898 - mmseg - INFO - Iter [62250/160000] lr: 1.875e-05, eta: 7:28:30, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1976, decode.acc_seg: 91.9214, loss: 0.1976 2023-03-04 01:37:09,329 - mmseg - INFO - Iter [62300/160000] lr: 1.875e-05, eta: 7:28:13, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2025, decode.acc_seg: 91.9513, loss: 0.2025 2023-03-04 01:37:20,922 - mmseg - INFO - Iter [62350/160000] lr: 1.875e-05, eta: 7:27:56, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1996, decode.acc_seg: 92.0333, loss: 0.1996 2023-03-04 01:37:32,315 - mmseg - INFO - Iter [62400/160000] lr: 1.875e-05, eta: 7:27:38, time: 0.228, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2115, decode.acc_seg: 91.5860, loss: 0.2115 2023-03-04 01:37:44,004 - mmseg - INFO - Iter [62450/160000] lr: 1.875e-05, eta: 7:27:21, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2059, decode.acc_seg: 91.6846, loss: 0.2059 2023-03-04 01:37:57,954 - mmseg - INFO - Iter [62500/160000] lr: 1.875e-05, eta: 7:27:08, time: 0.279, data_time: 0.052, memory: 67409, decode.loss_ce: 0.2040, decode.acc_seg: 91.7455, loss: 0.2040 2023-03-04 01:38:09,376 - mmseg - INFO - Iter [62550/160000] lr: 1.875e-05, eta: 7:26:50, time: 0.228, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2116, decode.acc_seg: 91.5386, loss: 0.2116 2023-03-04 01:38:20,976 - mmseg - INFO - Iter [62600/160000] lr: 1.875e-05, eta: 7:26:33, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2027, decode.acc_seg: 91.8978, loss: 0.2027 2023-03-04 01:38:32,541 - mmseg - INFO - Iter [62650/160000] lr: 1.875e-05, eta: 7:26:16, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2048, decode.acc_seg: 91.7727, loss: 0.2048 2023-03-04 01:38:44,062 - mmseg - INFO - Iter [62700/160000] lr: 1.875e-05, eta: 7:25:59, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1986, decode.acc_seg: 92.0482, loss: 0.1986 2023-03-04 01:38:55,490 - mmseg - INFO - Iter [62750/160000] lr: 1.875e-05, eta: 7:25:42, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2050, decode.acc_seg: 91.8679, loss: 0.2050 2023-03-04 01:39:07,033 - mmseg - INFO - Iter [62800/160000] lr: 1.875e-05, eta: 7:25:24, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2023, decode.acc_seg: 91.8996, loss: 0.2023 2023-03-04 01:39:18,553 - mmseg - INFO - Iter [62850/160000] lr: 1.875e-05, eta: 7:25:07, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2022, decode.acc_seg: 91.8458, loss: 0.2022 2023-03-04 01:39:30,115 - mmseg - INFO - Iter [62900/160000] lr: 1.875e-05, eta: 7:24:50, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2000, decode.acc_seg: 91.9651, loss: 0.2000 2023-03-04 01:39:41,624 - mmseg - INFO - Iter [62950/160000] lr: 1.875e-05, eta: 7:24:33, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1958, decode.acc_seg: 92.1463, loss: 0.1958 2023-03-04 01:39:53,453 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 01:39:53,453 - mmseg - INFO - Iter [63000/160000] lr: 1.875e-05, eta: 7:24:16, time: 0.237, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1958, decode.acc_seg: 92.1747, loss: 0.1958 2023-03-04 01:40:05,139 - mmseg - INFO - Iter [63050/160000] lr: 1.875e-05, eta: 7:23:59, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2034, decode.acc_seg: 91.8641, loss: 0.2034 2023-03-04 01:40:16,596 - mmseg - INFO - Iter [63100/160000] lr: 1.875e-05, eta: 7:23:42, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2071, decode.acc_seg: 91.7947, loss: 0.2071 2023-03-04 01:40:30,710 - mmseg - INFO - Iter [63150/160000] lr: 1.875e-05, eta: 7:23:29, time: 0.282, data_time: 0.056, memory: 67409, decode.loss_ce: 0.2019, decode.acc_seg: 92.0646, loss: 0.2019 2023-03-04 01:40:42,286 - mmseg - INFO - Iter [63200/160000] lr: 1.875e-05, eta: 7:23:12, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2006, decode.acc_seg: 91.6737, loss: 0.2006 2023-03-04 01:40:54,283 - mmseg - INFO - Iter [63250/160000] lr: 1.875e-05, eta: 7:22:56, time: 0.240, data_time: 0.008, memory: 67409, decode.loss_ce: 0.2030, decode.acc_seg: 92.0022, loss: 0.2030 2023-03-04 01:41:05,796 - mmseg - INFO - Iter [63300/160000] lr: 1.875e-05, eta: 7:22:38, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2092, decode.acc_seg: 91.6740, loss: 0.2092 2023-03-04 01:41:17,499 - mmseg - INFO - Iter [63350/160000] lr: 1.875e-05, eta: 7:22:22, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2075, decode.acc_seg: 91.7895, loss: 0.2075 2023-03-04 01:41:29,351 - mmseg - INFO - Iter [63400/160000] lr: 1.875e-05, eta: 7:22:05, time: 0.237, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2011, decode.acc_seg: 91.8892, loss: 0.2011 2023-03-04 01:41:40,957 - mmseg - INFO - Iter [63450/160000] lr: 1.875e-05, eta: 7:21:48, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2131, decode.acc_seg: 91.6031, loss: 0.2131 2023-03-04 01:41:52,511 - mmseg - INFO - Iter [63500/160000] lr: 1.875e-05, eta: 7:21:31, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2020, decode.acc_seg: 91.7717, loss: 0.2020 2023-03-04 01:42:04,113 - mmseg - INFO - Iter [63550/160000] lr: 1.875e-05, eta: 7:21:14, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1982, decode.acc_seg: 91.9708, loss: 0.1982 2023-03-04 01:42:15,646 - mmseg - INFO - Iter [63600/160000] lr: 1.875e-05, eta: 7:20:57, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1962, decode.acc_seg: 92.1244, loss: 0.1962 2023-03-04 01:42:27,436 - mmseg - INFO - Iter [63650/160000] lr: 1.875e-05, eta: 7:20:40, time: 0.236, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2152, decode.acc_seg: 91.5855, loss: 0.2152 2023-03-04 01:42:38,932 - mmseg - INFO - Iter [63700/160000] lr: 1.875e-05, eta: 7:20:23, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2094, decode.acc_seg: 91.6714, loss: 0.2094 2023-03-04 01:42:53,075 - mmseg - INFO - Iter [63750/160000] lr: 1.875e-05, eta: 7:20:10, time: 0.283, data_time: 0.055, memory: 67409, decode.loss_ce: 0.2012, decode.acc_seg: 91.9553, loss: 0.2012 2023-03-04 01:43:04,591 - mmseg - INFO - Iter [63800/160000] lr: 1.875e-05, eta: 7:19:53, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2019, decode.acc_seg: 91.9040, loss: 0.2019 2023-03-04 01:43:16,302 - mmseg - INFO - Iter [63850/160000] lr: 1.875e-05, eta: 7:19:36, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2004, decode.acc_seg: 92.0939, loss: 0.2004 2023-03-04 01:43:27,924 - mmseg - INFO - Iter [63900/160000] lr: 1.875e-05, eta: 7:19:20, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2071, decode.acc_seg: 91.6939, loss: 0.2071 2023-03-04 01:43:39,545 - mmseg - INFO - Iter [63950/160000] lr: 1.875e-05, eta: 7:19:03, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2090, decode.acc_seg: 91.8935, loss: 0.2090 2023-03-04 01:43:51,038 - mmseg - INFO - Swap parameters (after train) after iter [64000] 2023-03-04 01:43:51,052 - mmseg - INFO - Saving checkpoint at 64000 iterations 2023-03-04 01:43:52,718 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 01:43:52,718 - mmseg - INFO - Iter [64000/160000] lr: 1.875e-05, eta: 7:18:48, time: 0.263, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2006, decode.acc_seg: 92.0720, loss: 0.2006 2023-03-04 01:54:53,277 - mmseg - INFO - per class results: 2023-03-04 01:54:53,286 - mmseg - INFO - +---------------------+-------------------------------------------------------------------+ | Class | IoU 0,10,20,30,40,50,60,70,80,90,99 | +---------------------+-------------------------------------------------------------------+ | background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | | wall | 76.21,76.22,76.24,76.25,76.27,76.28,76.28,76.3,76.31,76.3,76.29 | | building | 82.62,82.64,82.65,82.65,82.66,82.67,82.68,82.68,82.68,82.69,82.67 | | sky | 94.19,94.19,94.2,94.19,94.2,94.2,94.2,94.2,94.2,94.2,94.22 | | floor | 78.95,78.97,78.96,78.99,79.0,79.02,79.04,79.05,79.08,79.08,79.08 | | tree | 73.36,73.41,73.41,73.4,73.43,73.42,73.44,73.43,73.44,73.45,73.49 | | ceiling | 82.67,82.69,82.7,82.72,82.73,82.71,82.72,82.73,82.75,82.72,82.67 | | road | 81.09,81.09,81.14,81.12,81.16,81.18,81.19,81.19,81.2,81.19,81.13 | | bed | 88.09,88.11,88.1,88.11,88.13,88.12,88.13,88.15,88.15,88.15,88.14 | | windowpane | 59.79,59.82,59.78,59.8,59.83,59.8,59.81,59.82,59.82,59.83,59.81 | | grass | 65.51,65.5,65.46,65.5,65.57,65.65,65.69,65.73,65.74,65.74,65.72 | | cabinet | 58.69,58.52,58.46,58.38,58.3,58.21,58.14,58.04,57.98,57.88,57.75 | | sidewalk | 65.01,65.03,65.07,65.06,65.12,65.16,65.16,65.13,65.09,65.09,65.09 | | person | 78.45,78.47,78.46,78.47,78.47,78.48,78.48,78.45,78.45,78.45,78.42 | | earth | 31.91,31.83,31.85,31.79,31.82,31.79,31.82,31.79,31.77,31.72,31.77 | | door | 46.22,46.29,46.31,46.31,46.25,46.23,46.3,46.36,46.35,46.37,46.56 | | table | 60.63,60.63,60.63,60.6,60.58,60.58,60.61,60.63,60.56,60.56,60.54 | | mountain | 51.71,51.69,51.66,51.68,51.68,51.66,51.69,51.62,51.61,51.62,51.61 | | plant | 51.43,51.55,51.54,51.55,51.62,51.63,51.67,51.65,51.67,51.68,51.72 | | curtain | 71.87,71.92,71.93,71.95,72.0,71.97,72.01,71.99,71.99,72.02,72.16 | | chair | 55.56,55.54,55.53,55.53,55.56,55.58,55.58,55.57,55.58,55.56,55.58 | | car | 81.45,81.47,81.43,81.43,81.41,81.38,81.34,81.34,81.32,81.32,81.25 | | water | 45.01,45.0,45.01,44.99,44.97,44.97,44.9,44.91,44.93,44.85,44.84 | | painting | 70.95,70.95,70.97,70.97,71.01,71.03,70.99,71.09,71.04,71.07,71.08 | | sofa | 64.5,64.48,64.56,64.63,64.62,64.76,64.69,64.68,64.68,64.68,64.67 | | shelf | 40.19,40.18,40.24,40.31,40.37,40.34,40.27,40.22,40.23,40.19,40.22 | | house | 46.58,46.65,46.69,46.68,46.73,46.73,46.76,46.81,46.77,46.82,46.83 | | sea | 42.56,42.57,42.58,42.59,42.58,42.58,42.53,42.52,42.55,42.5,42.48 | | mirror | 63.95,63.96,63.96,63.99,64.01,63.95,63.99,63.99,63.92,63.94,63.99 | | rug | 55.74,55.76,55.77,55.86,55.86,55.89,55.89,56.06,56.07,56.13,56.02 | | field | 24.78,24.92,24.87,24.86,24.98,24.99,25.07,25.07,25.06,25.11,25.09 | | armchair | 42.97,43.01,43.04,43.14,43.12,43.41,43.3,43.32,43.17,43.18,43.18 | | seat | 58.61,58.58,58.61,58.56,58.66,58.57,58.56,58.55,58.53,58.49,58.64 | | fence | 34.58,34.71,34.72,34.78,34.87,34.92,35.0,35.19,35.23,35.21,35.36 | | desk | 48.93,48.92,48.92,48.82,48.88,48.85,48.89,49.0,48.95,48.97,48.66 | | rock | 28.86,28.9,28.78,28.86,28.82,28.82,28.85,28.61,28.62,28.61,29.19 | | wardrobe | 44.32,43.94,43.73,43.44,43.13,42.86,42.82,42.75,42.72,42.68,42.64 | | lamp | 63.21,63.25,63.28,63.32,63.31,63.3,63.35,63.36,63.36,63.38,63.42 | | bathtub | 76.14,76.06,76.24,76.11,76.09,76.16,76.08,75.95,75.91,75.88,75.7 | | railing | 28.77,28.71,28.77,28.68,28.67,28.66,28.61,28.58,28.56,28.45,28.55 | | cushion | 54.0,54.07,54.01,54.07,54.11,54.16,54.11,54.06,54.12,54.12,54.49 | | base | 21.31,21.35,21.42,21.46,21.52,21.57,21.65,21.63,21.72,21.67,21.94 | | box | 22.47,22.37,22.38,22.39,22.53,22.55,22.57,22.57,22.61,22.61,22.52 | | column | 45.28,45.33,45.34,45.29,45.32,45.29,45.25,45.28,45.16,45.19,45.83 | | signboard | 36.21,36.28,36.27,36.28,36.29,36.33,36.33,36.28,36.33,36.39,36.4 | | chest of drawers | 37.64,37.61,37.68,37.66,37.61,37.57,37.63,37.53,37.65,37.63,37.67 | | counter | 25.19,25.07,24.78,24.52,24.42,24.23,24.13,24.13,24.01,23.88,23.92 | | sand | 31.05,30.97,31.04,30.86,30.84,30.81,30.76,30.73,30.67,30.74,30.78 | | sink | 68.24,68.23,68.19,68.08,68.06,67.97,67.95,67.93,67.91,67.94,67.83 | | skyscraper | 63.83,63.81,63.87,63.91,63.97,63.98,64.2,64.17,64.31,64.29,63.16 | | fireplace | 70.94,70.93,71.01,70.96,70.85,70.96,70.93,70.96,71.0,70.95,70.86 | | refrigerator | 71.56,71.55,71.58,71.62,71.71,71.76,71.73,71.72,71.76,71.65,71.3 | | grandstand | 38.79,38.82,38.77,38.86,38.79,38.82,38.84,38.96,38.83,38.82,38.75 | | path | 16.18,16.16,16.17,16.31,16.38,16.43,16.52,16.59,16.73,16.81,16.46 | | stairs | 30.05,30.0,30.03,29.98,30.03,29.98,30.01,29.98,29.93,29.92,29.93 | | runway | 60.41,60.46,60.6,60.67,60.71,60.79,60.83,60.9,61.0,61.02,61.09 | | case | 44.76,44.54,44.43,44.41,44.24,44.14,44.03,43.95,43.93,43.77,43.61 | | pool table | 91.77,91.77,91.78,91.74,91.77,91.78,91.71,91.79,91.78,91.8,91.72 | | pillow | 55.66,55.68,55.61,55.65,55.66,55.58,55.61,55.58,55.4,55.5,55.55 | | screen door | 71.7,71.74,71.74,71.43,71.89,72.19,71.99,71.92,72.03,71.64,71.56 | | stairway | 32.0,31.96,31.88,31.78,31.8,31.65,31.71,31.68,31.6,31.5,31.45 | | river | 12.18,12.18,12.19,12.17,12.16,12.17,12.13,12.13,12.09,12.08,12.1 | | bridge | 63.83,63.99,63.92,64.56,64.25,64.02,64.08,64.18,64.4,64.86,64.98 | | bookcase | 40.64,40.58,40.54,40.69,40.72,40.79,40.9,40.96,41.03,41.0,40.08 | | blind | 40.85,40.81,40.87,40.89,40.88,40.8,40.73,40.74,40.74,40.67,40.77 | | coffee table | 58.3,58.42,58.53,58.54,58.56,58.7,58.56,58.55,58.52,58.47,58.96 | | toilet | 85.88,85.92,85.9,85.93,86.0,86.01,85.96,85.99,86.07,86.05,86.03 | | flower | 33.43,33.44,33.4,33.4,33.31,33.34,33.38,33.31,33.3,33.27,33.31 | | book | 45.76,45.78,45.86,45.85,45.94,46.01,45.95,45.92,45.9,45.96,46.04 | | hill | 4.58,4.62,4.6,4.58,4.59,4.6,4.66,4.68,4.75,4.69,4.77 | | bench | 36.98,37.1,37.01,37.03,37.06,37.01,36.99,37.05,37.01,37.1,37.16 | | countertop | 56.21,56.52,56.5,56.67,56.41,56.6,56.47,56.54,56.41,56.35,56.22 | | stove | 72.51,72.46,72.46,72.5,72.55,72.46,72.59,72.43,72.47,72.49,72.5 | | palm | 50.76,50.77,50.74,50.79,50.69,50.83,50.77,50.73,50.78,50.85,50.86 | | kitchen island | 47.32,47.36,47.21,47.22,47.22,47.12,47.17,47.02,47.12,47.28,47.28 | | computer | 55.19,55.27,55.27,55.22,55.21,55.26,55.24,55.25,55.22,55.19,55.28 | | swivel chair | 44.31,44.38,44.27,44.29,44.35,44.31,44.34,44.32,44.29,44.35,44.29 | | boat | 46.53,46.81,46.75,47.03,47.03,46.92,47.15,47.21,47.14,47.37,47.48 | | bar | 23.77,23.75,23.76,23.67,23.7,23.73,23.76,23.8,23.8,23.81,23.75 | | arcade machine | 25.37,25.2,25.46,25.64,25.54,25.67,25.66,25.6,25.71,25.78,26.07 | | hovel | 37.35,37.32,37.2,37.27,37.2,37.12,36.99,36.97,36.63,36.63,36.34 | | bus | 78.64,78.52,78.58,78.56,78.65,78.61,78.57,78.56,78.59,78.59,78.47 | | towel | 56.52,56.39,56.32,56.44,56.39,56.34,56.4,56.45,56.37,56.43,56.43 | | light | 54.2,54.19,54.18,54.21,54.18,54.22,54.19,54.18,54.19,54.06,54.14 | | truck | 33.03,33.06,33.13,33.17,33.25,33.22,33.14,33.13,33.06,33.15,33.04 | | tower | 30.25,30.37,30.55,30.41,30.48,30.69,30.99,30.78,30.67,30.9,31.33 | | chandelier | 68.04,67.98,68.0,67.98,68.08,68.05,68.13,68.08,68.13,68.09,68.12 | | awning | 23.75,23.84,23.85,23.71,23.61,23.89,23.82,23.86,24.01,24.1,24.14 | | streetlight | 26.08,26.19,26.17,26.17,26.22,26.3,26.28,26.3,26.36,26.35,26.34 | | booth | 42.8,42.91,43.14,43.7,43.54,43.59,43.87,44.32,44.75,45.0,44.0 | | television receiver | 67.83,67.86,67.77,67.8,67.88,67.81,67.68,67.8,67.71,67.76,67.79 | | airplane | 50.7,50.69,50.74,50.73,50.74,50.75,50.81,50.89,50.92,50.88,50.95 | | dirt track | 3.14,3.2,3.13,3.15,3.16,3.13,3.16,3.16,3.15,3.15,3.16 | | apparel | 28.1,28.16,28.16,28.2,28.21,28.38,28.27,28.34,28.33,28.38,28.7 | | pole | 23.85,23.81,23.74,23.66,23.68,23.72,23.65,23.63,23.63,23.59,23.54 | | land | 0.7,0.71,0.71,0.72,0.71,0.71,0.72,0.69,0.7,0.69,0.73 | | bannister | 9.03,9.06,9.12,9.21,9.27,9.38,9.36,9.43,9.48,9.51,9.51 | | escalator | 21.48,21.55,21.55,21.41,21.5,21.47,21.47,21.5,21.47,21.45,21.33 | | ottoman | 46.78,46.72,46.83,46.83,46.91,46.91,46.81,46.82,47.02,46.8,46.49 | | bottle | 12.26,12.25,12.21,12.25,12.22,12.21,12.22,12.31,12.35,12.41,12.1 | | buffet | 34.1,34.02,34.08,34.07,34.17,34.14,34.17,34.22,34.18,34.21,34.21 | | poster | 25.82,25.82,25.95,25.91,25.97,26.03,26.0,25.93,25.99,26.07,26.05 | | stage | 10.07,10.15,10.13,10.19,10.12,10.16,10.19,10.2,10.2,10.18,9.99 | | van | 41.55,41.49,41.38,41.63,41.53,41.48,41.7,41.73,41.84,41.94,41.58 | | ship | 70.34,70.37,70.67,70.82,70.86,71.04,71.13,71.3,71.4,71.58,71.56 | | fountain | 0.44,0.43,0.45,0.44,0.46,0.45,0.44,0.44,0.45,0.45,0.46 | | conveyer belt | 61.66,61.62,61.88,61.99,62.09,62.2,62.0,62.33,62.35,62.34,62.36 | | canopy | 16.14,16.27,16.24,16.26,16.28,16.29,16.31,16.38,16.39,16.42,16.39 | | washer | 64.05,64.1,64.06,63.99,63.99,63.95,63.92,63.96,63.84,63.8,63.92 | | plaything | 24.08,24.14,24.06,24.2,24.17,24.24,24.05,24.13,23.91,23.9,23.89 | | swimming pool | 28.33,28.41,28.31,28.41,28.4,28.43,28.39,28.35,28.29,28.52,28.76 | | stool | 42.01,42.15,42.19,42.18,42.26,42.23,42.34,42.41,42.35,42.45,42.39 | | barrel | 43.18,43.11,42.59,42.51,42.18,42.01,41.6,41.46,41.25,40.94,40.79 | | basket | 21.84,21.74,21.71,21.61,21.48,21.44,21.34,21.31,21.28,21.2,21.14 | | waterfall | 54.51,54.64,54.59,54.41,54.09,53.99,53.8,54.02,53.89,53.76,54.09 | | tent | 92.71,92.57,92.57,92.53,92.39,92.32,92.17,92.31,92.15,92.09,92.07 | | bag | 8.61,8.67,8.58,8.67,8.58,8.56,8.62,8.58,8.63,8.56,8.42 | | minibike | 49.91,50.08,50.07,49.95,49.92,49.73,49.84,49.84,49.67,49.73,49.35 | | cradle | 75.93,75.87,75.89,75.94,75.95,75.95,75.9,76.0,76.03,76.02,75.93 | | oven | 22.8,22.94,22.72,22.81,22.77,22.63,22.55,22.42,22.35,22.25,22.08 | | ball | 47.08,47.17,47.17,47.22,47.29,47.19,47.29,47.34,47.37,47.4,47.38 | | food | 49.48,49.37,49.24,49.07,48.93,48.76,48.72,48.62,48.52,48.38,48.52 | | step | 5.2,5.19,5.16,5.01,5.07,5.1,5.05,5.0,4.92,4.91,4.79 | | tank | 47.47,47.52,47.58,47.56,47.59,47.57,47.6,47.59,47.58,47.58,47.53 | | trade name | 20.87,20.87,20.92,20.93,20.87,20.88,20.9,20.84,20.87,20.86,21.05 | | microwave | 38.59,38.55,38.51,38.41,38.38,38.31,38.23,38.23,38.16,38.17,38.25 | | pot | 37.53,37.62,37.49,37.48,37.43,37.45,37.35,37.35,37.29,37.46,37.29 | | animal | 50.96,51.12,51.06,51.11,51.06,51.1,51.14,51.21,51.17,51.23,51.14 | | bicycle | 45.22,45.31,45.25,45.22,45.23,45.26,45.11,45.22,45.19,45.22,45.22 | | lake | 59.49,59.57,59.55,59.52,59.55,59.56,59.5,59.63,59.41,59.37,59.57 | | dishwasher | 72.43,72.29,72.23,72.01,72.22,72.01,72.15,72.17,72.25,72.19,72.16 | | screen | 59.88,59.83,59.82,59.9,59.91,59.88,59.83,59.77,59.87,60.01,59.85 | | blanket | 6.86,6.96,6.97,7.06,7.01,7.03,7.0,7.01,7.04,7.07,7.19 | | sculpture | 43.43,43.18,43.4,42.97,42.87,42.66,42.55,42.45,42.34,42.27,42.05 | | hood | 61.03,60.87,61.07,60.92,60.85,60.89,60.72,60.84,60.75,60.69,60.98 | | sconce | 41.43,41.44,41.65,41.8,41.71,41.77,41.85,41.89,41.91,41.86,42.25 | | vase | 32.53,32.47,32.55,32.6,32.64,32.56,32.66,32.64,32.66,32.7,32.78 | | traffic light | 27.82,27.79,27.74,27.65,27.61,27.53,27.48,27.55,27.43,27.36,27.32 | | tray | 5.43,5.47,5.54,5.56,5.69,5.8,5.79,5.86,5.91,5.93,5.94 | | ashcan | 42.31,42.45,42.52,42.59,42.67,42.73,42.92,42.98,42.91,43.04,43.21 | | fan | 57.43,57.49,57.37,57.31,57.28,57.17,57.24,57.13,57.13,57.19,57.03 | | pier | 19.33,19.26,19.18,19.35,19.36,19.69,19.75,19.88,19.83,19.78,20.03 | | crt screen | 4.98,4.95,4.94,5.11,5.16,5.33,5.46,5.43,5.61,5.8,5.8 | | plate | 41.17,41.28,41.4,41.38,41.28,41.33,41.4,41.44,41.48,41.63,41.39 | | monitor | 62.69,62.83,62.87,62.72,62.81,62.81,62.97,63.23,63.36,63.42,63.14 | | bulletin board | 34.05,34.3,34.33,34.48,34.46,34.79,34.99,34.92,35.04,35.1,35.22 | | shower | 1.16,1.17,1.2,1.22,1.2,1.22,1.22,1.24,1.24,1.24,1.29 | | radiator | 41.54,41.68,41.51,41.69,41.59,41.49,41.59,41.33,41.23,41.06,41.43 | | glass | 10.12,10.1,10.02,10.02,9.92,9.92,9.84,9.82,9.73,9.67,9.7 | | clock | 18.22,18.23,18.02,18.11,18.01,18.04,17.95,17.86,17.83,17.89,17.86 | | flag | 41.03,41.03,40.98,41.0,41.08,40.95,40.93,40.88,40.8,40.82,41.06 | +---------------------+-------------------------------------------------------------------+ 2023-03-04 01:54:53,286 - mmseg - INFO - Summary: 2023-03-04 01:54:53,287 - mmseg - INFO - +------------------------------------------------------------------+ | mIoU 0,10,20,30,40,50,60,70,80,90,99 | +------------------------------------------------------------------+ | 45.19,45.21,45.2,45.21,45.21,45.21,45.21,45.22,45.21,45.22,45.21 | +------------------------------------------------------------------+ 2023-03-04 01:54:53,287 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 01:54:53,287 - mmseg - INFO - Iter(val) [250] mIoU: [0.4519, 0.4521, 0.452, 0.4521, 0.4521, 0.4521, 0.4521, 0.4522, 0.4521, 0.4522, 0.4521], copy_paste: 45.19,45.21,45.2,45.21,45.21,45.21,45.21,45.22,45.21,45.22,45.21 2023-03-04 01:54:53,293 - mmseg - INFO - Swap parameters (before train) before iter [64001] 2023-03-04 01:55:05,283 - mmseg - INFO - Iter [64050/160000] lr: 1.875e-05, eta: 7:35:01, time: 13.451, data_time: 13.219, memory: 67409, decode.loss_ce: 0.2020, decode.acc_seg: 91.8429, loss: 0.2020 2023-03-04 01:55:17,247 - mmseg - INFO - Iter [64100/160000] lr: 1.875e-05, eta: 7:34:44, time: 0.239, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2016, decode.acc_seg: 91.8980, loss: 0.2016 2023-03-04 01:55:29,123 - mmseg - INFO - Iter [64150/160000] lr: 1.875e-05, eta: 7:34:26, time: 0.237, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1939, decode.acc_seg: 92.2033, loss: 0.1939 2023-03-04 01:55:40,974 - mmseg - INFO - Iter [64200/160000] lr: 1.875e-05, eta: 7:34:08, time: 0.237, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1974, decode.acc_seg: 91.9907, loss: 0.1974 2023-03-04 01:55:52,774 - mmseg - INFO - Iter [64250/160000] lr: 1.875e-05, eta: 7:33:50, time: 0.236, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2056, decode.acc_seg: 91.9193, loss: 0.2056 2023-03-04 01:56:04,219 - mmseg - INFO - Iter [64300/160000] lr: 1.875e-05, eta: 7:33:32, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2050, decode.acc_seg: 91.5629, loss: 0.2050 2023-03-04 01:56:15,826 - mmseg - INFO - Iter [64350/160000] lr: 1.875e-05, eta: 7:33:14, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2012, decode.acc_seg: 91.8962, loss: 0.2012 2023-03-04 01:56:29,910 - mmseg - INFO - Iter [64400/160000] lr: 1.875e-05, eta: 7:33:00, time: 0.282, data_time: 0.052, memory: 67409, decode.loss_ce: 0.1979, decode.acc_seg: 92.0658, loss: 0.1979 2023-03-04 01:56:41,373 - mmseg - INFO - Iter [64450/160000] lr: 1.875e-05, eta: 7:32:41, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2037, decode.acc_seg: 91.9504, loss: 0.2037 2023-03-04 01:56:52,868 - mmseg - INFO - Iter [64500/160000] lr: 1.875e-05, eta: 7:32:23, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2033, decode.acc_seg: 91.6996, loss: 0.2033 2023-03-04 01:57:04,419 - mmseg - INFO - Iter [64550/160000] lr: 1.875e-05, eta: 7:32:05, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2029, decode.acc_seg: 91.9923, loss: 0.2029 2023-03-04 01:57:16,273 - mmseg - INFO - Iter [64600/160000] lr: 1.875e-05, eta: 7:31:47, time: 0.237, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2038, decode.acc_seg: 91.7713, loss: 0.2038 2023-03-04 01:57:28,112 - mmseg - INFO - Iter [64650/160000] lr: 1.875e-05, eta: 7:31:30, time: 0.237, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2031, decode.acc_seg: 91.9584, loss: 0.2031 2023-03-04 01:57:39,690 - mmseg - INFO - Iter [64700/160000] lr: 1.875e-05, eta: 7:31:11, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1968, decode.acc_seg: 92.0689, loss: 0.1968 2023-03-04 01:57:51,177 - mmseg - INFO - Iter [64750/160000] lr: 1.875e-05, eta: 7:30:53, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2050, decode.acc_seg: 91.6647, loss: 0.2050 2023-03-04 01:58:02,663 - mmseg - INFO - Iter [64800/160000] lr: 1.875e-05, eta: 7:30:35, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1933, decode.acc_seg: 92.1503, loss: 0.1933 2023-03-04 01:58:14,101 - mmseg - INFO - Iter [64850/160000] lr: 1.875e-05, eta: 7:30:17, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2090, decode.acc_seg: 91.6289, loss: 0.2090 2023-03-04 01:58:25,785 - mmseg - INFO - Iter [64900/160000] lr: 1.875e-05, eta: 7:29:59, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1985, decode.acc_seg: 91.9154, loss: 0.1985 2023-03-04 01:58:37,339 - mmseg - INFO - Iter [64950/160000] lr: 1.875e-05, eta: 7:29:41, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2035, decode.acc_seg: 91.8267, loss: 0.2035 2023-03-04 01:58:51,325 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 01:58:51,325 - mmseg - INFO - Iter [65000/160000] lr: 1.875e-05, eta: 7:29:26, time: 0.280, data_time: 0.056, memory: 67409, decode.loss_ce: 0.2072, decode.acc_seg: 91.7565, loss: 0.2072 2023-03-04 01:59:02,745 - mmseg - INFO - Iter [65050/160000] lr: 1.875e-05, eta: 7:29:08, time: 0.228, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2046, decode.acc_seg: 91.8441, loss: 0.2046 2023-03-04 01:59:14,258 - mmseg - INFO - Iter [65100/160000] lr: 1.875e-05, eta: 7:28:50, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1937, decode.acc_seg: 92.0682, loss: 0.1937 2023-03-04 01:59:26,011 - mmseg - INFO - Iter [65150/160000] lr: 1.875e-05, eta: 7:28:32, time: 0.235, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1977, decode.acc_seg: 91.9765, loss: 0.1977 2023-03-04 01:59:37,533 - mmseg - INFO - Iter [65200/160000] lr: 1.875e-05, eta: 7:28:14, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2043, decode.acc_seg: 91.7128, loss: 0.2043 2023-03-04 01:59:49,055 - mmseg - INFO - Iter [65250/160000] lr: 1.875e-05, eta: 7:27:56, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2016, decode.acc_seg: 91.9870, loss: 0.2016 2023-03-04 02:00:00,622 - mmseg - INFO - Iter [65300/160000] lr: 1.875e-05, eta: 7:27:38, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2107, decode.acc_seg: 91.4574, loss: 0.2107 2023-03-04 02:00:12,126 - mmseg - INFO - Iter [65350/160000] lr: 1.875e-05, eta: 7:27:20, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1990, decode.acc_seg: 92.1383, loss: 0.1990 2023-03-04 02:00:23,695 - mmseg - INFO - Iter [65400/160000] lr: 1.875e-05, eta: 7:27:02, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1991, decode.acc_seg: 91.9885, loss: 0.1991 2023-03-04 02:00:35,415 - mmseg - INFO - Iter [65450/160000] lr: 1.875e-05, eta: 7:26:44, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2071, decode.acc_seg: 91.8191, loss: 0.2071 2023-03-04 02:00:46,983 - mmseg - INFO - Iter [65500/160000] lr: 1.875e-05, eta: 7:26:27, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2103, decode.acc_seg: 91.7526, loss: 0.2103 2023-03-04 02:00:58,498 - mmseg - INFO - Iter [65550/160000] lr: 1.875e-05, eta: 7:26:09, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2108, decode.acc_seg: 91.5085, loss: 0.2108 2023-03-04 02:01:10,052 - mmseg - INFO - Iter [65600/160000] lr: 1.875e-05, eta: 7:25:51, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2093, decode.acc_seg: 91.6710, loss: 0.2093 2023-03-04 02:01:24,060 - mmseg - INFO - Iter [65650/160000] lr: 1.875e-05, eta: 7:25:36, time: 0.280, data_time: 0.054, memory: 67409, decode.loss_ce: 0.1954, decode.acc_seg: 92.0645, loss: 0.1954 2023-03-04 02:01:35,527 - mmseg - INFO - Iter [65700/160000] lr: 1.875e-05, eta: 7:25:18, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2092, decode.acc_seg: 91.7320, loss: 0.2092 2023-03-04 02:01:46,977 - mmseg - INFO - Iter [65750/160000] lr: 1.875e-05, eta: 7:25:00, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2018, decode.acc_seg: 91.9881, loss: 0.2018 2023-03-04 02:01:58,535 - mmseg - INFO - Iter [65800/160000] lr: 1.875e-05, eta: 7:24:42, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1983, decode.acc_seg: 91.9576, loss: 0.1983 2023-03-04 02:02:10,011 - mmseg - INFO - Iter [65850/160000] lr: 1.875e-05, eta: 7:24:24, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1995, decode.acc_seg: 92.0567, loss: 0.1995 2023-03-04 02:02:21,656 - mmseg - INFO - Iter [65900/160000] lr: 1.875e-05, eta: 7:24:06, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2093, decode.acc_seg: 91.5695, loss: 0.2093 2023-03-04 02:02:33,273 - mmseg - INFO - Iter [65950/160000] lr: 1.875e-05, eta: 7:23:49, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2004, decode.acc_seg: 92.0123, loss: 0.2004 2023-03-04 02:02:44,730 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 02:02:44,730 - mmseg - INFO - Iter [66000/160000] lr: 1.875e-05, eta: 7:23:31, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2060, decode.acc_seg: 91.7749, loss: 0.2060 2023-03-04 02:02:56,372 - mmseg - INFO - Iter [66050/160000] lr: 1.875e-05, eta: 7:23:13, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2025, decode.acc_seg: 91.8107, loss: 0.2025 2023-03-04 02:03:08,026 - mmseg - INFO - Iter [66100/160000] lr: 1.875e-05, eta: 7:22:55, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2022, decode.acc_seg: 91.6832, loss: 0.2022 2023-03-04 02:03:20,082 - mmseg - INFO - Iter [66150/160000] lr: 1.875e-05, eta: 7:22:38, time: 0.241, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2043, decode.acc_seg: 91.7737, loss: 0.2043 2023-03-04 02:03:31,930 - mmseg - INFO - Iter [66200/160000] lr: 1.875e-05, eta: 7:22:21, time: 0.237, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2019, decode.acc_seg: 92.0175, loss: 0.2019 2023-03-04 02:03:43,526 - mmseg - INFO - Iter [66250/160000] lr: 1.875e-05, eta: 7:22:03, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1990, decode.acc_seg: 91.9079, loss: 0.1990 2023-03-04 02:03:57,681 - mmseg - INFO - Iter [66300/160000] lr: 1.875e-05, eta: 7:21:49, time: 0.283, data_time: 0.053, memory: 67409, decode.loss_ce: 0.2060, decode.acc_seg: 91.7953, loss: 0.2060 2023-03-04 02:04:09,270 - mmseg - INFO - Iter [66350/160000] lr: 1.875e-05, eta: 7:21:31, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1969, decode.acc_seg: 92.0329, loss: 0.1969 2023-03-04 02:04:21,139 - mmseg - INFO - Iter [66400/160000] lr: 1.875e-05, eta: 7:21:14, time: 0.237, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1990, decode.acc_seg: 91.9298, loss: 0.1990 2023-03-04 02:04:32,835 - mmseg - INFO - Iter [66450/160000] lr: 1.875e-05, eta: 7:20:56, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2036, decode.acc_seg: 91.9095, loss: 0.2036 2023-03-04 02:04:44,474 - mmseg - INFO - Iter [66500/160000] lr: 1.875e-05, eta: 7:20:38, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2014, decode.acc_seg: 91.8979, loss: 0.2014 2023-03-04 02:04:56,181 - mmseg - INFO - Iter [66550/160000] lr: 1.875e-05, eta: 7:20:21, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2019, decode.acc_seg: 91.9486, loss: 0.2019 2023-03-04 02:05:07,659 - mmseg - INFO - Iter [66600/160000] lr: 1.875e-05, eta: 7:20:03, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1953, decode.acc_seg: 92.0977, loss: 0.1953 2023-03-04 02:05:19,389 - mmseg - INFO - Iter [66650/160000] lr: 1.875e-05, eta: 7:19:46, time: 0.235, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2042, decode.acc_seg: 91.8090, loss: 0.2042 2023-03-04 02:05:31,046 - mmseg - INFO - Iter [66700/160000] lr: 1.875e-05, eta: 7:19:28, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2017, decode.acc_seg: 92.0897, loss: 0.2017 2023-03-04 02:05:42,704 - mmseg - INFO - Iter [66750/160000] lr: 1.875e-05, eta: 7:19:10, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1998, decode.acc_seg: 92.0044, loss: 0.1998 2023-03-04 02:05:54,477 - mmseg - INFO - Iter [66800/160000] lr: 1.875e-05, eta: 7:18:53, time: 0.235, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2044, decode.acc_seg: 91.7588, loss: 0.2044 2023-03-04 02:06:06,072 - mmseg - INFO - Iter [66850/160000] lr: 1.875e-05, eta: 7:18:35, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2035, decode.acc_seg: 91.8193, loss: 0.2035 2023-03-04 02:06:20,169 - mmseg - INFO - Iter [66900/160000] lr: 1.875e-05, eta: 7:18:21, time: 0.282, data_time: 0.056, memory: 67409, decode.loss_ce: 0.1973, decode.acc_seg: 91.9699, loss: 0.1973 2023-03-04 02:06:31,841 - mmseg - INFO - Iter [66950/160000] lr: 1.875e-05, eta: 7:18:04, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2028, decode.acc_seg: 91.7794, loss: 0.2028 2023-03-04 02:06:43,431 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 02:06:43,431 - mmseg - INFO - Iter [67000/160000] lr: 1.875e-05, eta: 7:17:46, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2021, decode.acc_seg: 91.8325, loss: 0.2021 2023-03-04 02:06:54,894 - mmseg - INFO - Iter [67050/160000] lr: 1.875e-05, eta: 7:17:28, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2031, decode.acc_seg: 91.7837, loss: 0.2031 2023-03-04 02:07:06,483 - mmseg - INFO - Iter [67100/160000] lr: 1.875e-05, eta: 7:17:10, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1999, decode.acc_seg: 91.9990, loss: 0.1999 2023-03-04 02:07:18,110 - mmseg - INFO - Iter [67150/160000] lr: 1.875e-05, eta: 7:16:53, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2071, decode.acc_seg: 91.7332, loss: 0.2071 2023-03-04 02:07:29,777 - mmseg - INFO - Iter [67200/160000] lr: 1.875e-05, eta: 7:16:35, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2054, decode.acc_seg: 91.8556, loss: 0.2054 2023-03-04 02:07:41,248 - mmseg - INFO - Iter [67250/160000] lr: 1.875e-05, eta: 7:16:18, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2061, decode.acc_seg: 91.8775, loss: 0.2061 2023-03-04 02:07:53,086 - mmseg - INFO - Iter [67300/160000] lr: 1.875e-05, eta: 7:16:00, time: 0.237, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1957, decode.acc_seg: 92.1171, loss: 0.1957 2023-03-04 02:08:04,610 - mmseg - INFO - Iter [67350/160000] lr: 1.875e-05, eta: 7:15:43, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2116, decode.acc_seg: 91.4961, loss: 0.2116 2023-03-04 02:08:16,158 - mmseg - INFO - Iter [67400/160000] lr: 1.875e-05, eta: 7:15:25, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1943, decode.acc_seg: 92.1138, loss: 0.1943 2023-03-04 02:08:27,860 - mmseg - INFO - Iter [67450/160000] lr: 1.875e-05, eta: 7:15:08, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2006, decode.acc_seg: 91.9069, loss: 0.2006 2023-03-04 02:08:39,603 - mmseg - INFO - Iter [67500/160000] lr: 1.875e-05, eta: 7:14:50, time: 0.235, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2033, decode.acc_seg: 91.8927, loss: 0.2033 2023-03-04 02:08:53,630 - mmseg - INFO - Iter [67550/160000] lr: 1.875e-05, eta: 7:14:36, time: 0.281, data_time: 0.055, memory: 67409, decode.loss_ce: 0.1989, decode.acc_seg: 92.1001, loss: 0.1989 2023-03-04 02:09:05,396 - mmseg - INFO - Iter [67600/160000] lr: 1.875e-05, eta: 7:14:19, time: 0.235, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1987, decode.acc_seg: 91.8624, loss: 0.1987 2023-03-04 02:09:17,031 - mmseg - INFO - Iter [67650/160000] lr: 1.875e-05, eta: 7:14:01, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2047, decode.acc_seg: 91.6710, loss: 0.2047 2023-03-04 02:09:28,621 - mmseg - INFO - Iter [67700/160000] lr: 1.875e-05, eta: 7:13:44, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2028, decode.acc_seg: 91.8355, loss: 0.2028 2023-03-04 02:09:40,267 - mmseg - INFO - Iter [67750/160000] lr: 1.875e-05, eta: 7:13:26, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2061, decode.acc_seg: 91.8009, loss: 0.2061 2023-03-04 02:09:51,850 - mmseg - INFO - Iter [67800/160000] lr: 1.875e-05, eta: 7:13:09, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1978, decode.acc_seg: 92.0832, loss: 0.1978 2023-03-04 02:10:03,499 - mmseg - INFO - Iter [67850/160000] lr: 1.875e-05, eta: 7:12:52, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1980, decode.acc_seg: 91.9511, loss: 0.1980 2023-03-04 02:10:15,132 - mmseg - INFO - Iter [67900/160000] lr: 1.875e-05, eta: 7:12:34, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2002, decode.acc_seg: 91.8520, loss: 0.2002 2023-03-04 02:10:26,886 - mmseg - INFO - Iter [67950/160000] lr: 1.875e-05, eta: 7:12:17, time: 0.235, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2010, decode.acc_seg: 91.7829, loss: 0.2010 2023-03-04 02:10:38,325 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 02:10:38,325 - mmseg - INFO - Iter [68000/160000] lr: 1.875e-05, eta: 7:11:59, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2044, decode.acc_seg: 91.7338, loss: 0.2044 2023-03-04 02:10:49,898 - mmseg - INFO - Iter [68050/160000] lr: 1.875e-05, eta: 7:11:42, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2100, decode.acc_seg: 91.5758, loss: 0.2100 2023-03-04 02:11:01,399 - mmseg - INFO - Iter [68100/160000] lr: 1.875e-05, eta: 7:11:24, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1978, decode.acc_seg: 91.9827, loss: 0.1978 2023-03-04 02:11:15,445 - mmseg - INFO - Iter [68150/160000] lr: 1.875e-05, eta: 7:11:10, time: 0.281, data_time: 0.054, memory: 67409, decode.loss_ce: 0.2059, decode.acc_seg: 91.8632, loss: 0.2059 2023-03-04 02:11:26,994 - mmseg - INFO - Iter [68200/160000] lr: 1.875e-05, eta: 7:10:52, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1942, decode.acc_seg: 92.0900, loss: 0.1942 2023-03-04 02:11:38,573 - mmseg - INFO - Iter [68250/160000] lr: 1.875e-05, eta: 7:10:35, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1942, decode.acc_seg: 92.0666, loss: 0.1942 2023-03-04 02:11:50,064 - mmseg - INFO - Iter [68300/160000] lr: 1.875e-05, eta: 7:10:17, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2018, decode.acc_seg: 91.8847, loss: 0.2018 2023-03-04 02:12:01,542 - mmseg - INFO - Iter [68350/160000] lr: 1.875e-05, eta: 7:10:00, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1970, decode.acc_seg: 92.0979, loss: 0.1970 2023-03-04 02:12:13,168 - mmseg - INFO - Iter [68400/160000] lr: 1.875e-05, eta: 7:09:43, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1983, decode.acc_seg: 91.9555, loss: 0.1983 2023-03-04 02:12:24,699 - mmseg - INFO - Iter [68450/160000] lr: 1.875e-05, eta: 7:09:25, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2044, decode.acc_seg: 91.8096, loss: 0.2044 2023-03-04 02:12:36,426 - mmseg - INFO - Iter [68500/160000] lr: 1.875e-05, eta: 7:09:08, time: 0.235, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1996, decode.acc_seg: 92.1280, loss: 0.1996 2023-03-04 02:12:48,148 - mmseg - INFO - Iter [68550/160000] lr: 1.875e-05, eta: 7:08:51, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2077, decode.acc_seg: 91.7732, loss: 0.2077 2023-03-04 02:12:59,789 - mmseg - INFO - Iter [68600/160000] lr: 1.875e-05, eta: 7:08:33, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2074, decode.acc_seg: 91.7425, loss: 0.2074 2023-03-04 02:13:11,347 - mmseg - INFO - Iter [68650/160000] lr: 1.875e-05, eta: 7:08:16, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2101, decode.acc_seg: 91.6978, loss: 0.2101 2023-03-04 02:13:22,788 - mmseg - INFO - Iter [68700/160000] lr: 1.875e-05, eta: 7:07:58, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2038, decode.acc_seg: 91.9348, loss: 0.2038 2023-03-04 02:13:34,497 - mmseg - INFO - Iter [68750/160000] lr: 1.875e-05, eta: 7:07:41, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1998, decode.acc_seg: 91.9183, loss: 0.1998 2023-03-04 02:13:48,460 - mmseg - INFO - Iter [68800/160000] lr: 1.875e-05, eta: 7:07:27, time: 0.279, data_time: 0.054, memory: 67409, decode.loss_ce: 0.1963, decode.acc_seg: 91.9500, loss: 0.1963 2023-03-04 02:14:00,104 - mmseg - INFO - Iter [68850/160000] lr: 1.875e-05, eta: 7:07:10, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1972, decode.acc_seg: 91.9162, loss: 0.1972 2023-03-04 02:14:11,627 - mmseg - INFO - Iter [68900/160000] lr: 1.875e-05, eta: 7:06:52, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2040, decode.acc_seg: 91.8770, loss: 0.2040 2023-03-04 02:14:23,124 - mmseg - INFO - Iter [68950/160000] lr: 1.875e-05, eta: 7:06:35, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2066, decode.acc_seg: 91.6111, loss: 0.2066 2023-03-04 02:14:34,778 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 02:14:34,778 - mmseg - INFO - Iter [69000/160000] lr: 1.875e-05, eta: 7:06:18, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2032, decode.acc_seg: 91.8266, loss: 0.2032 2023-03-04 02:14:46,283 - mmseg - INFO - Iter [69050/160000] lr: 1.875e-05, eta: 7:06:00, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2043, decode.acc_seg: 91.7572, loss: 0.2043 2023-03-04 02:14:57,925 - mmseg - INFO - Iter [69100/160000] lr: 1.875e-05, eta: 7:05:43, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1933, decode.acc_seg: 92.1237, loss: 0.1933 2023-03-04 02:15:09,455 - mmseg - INFO - Iter [69150/160000] lr: 1.875e-05, eta: 7:05:26, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2030, decode.acc_seg: 91.9907, loss: 0.2030 2023-03-04 02:15:20,943 - mmseg - INFO - Iter [69200/160000] lr: 1.875e-05, eta: 7:05:08, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2062, decode.acc_seg: 91.7381, loss: 0.2062 2023-03-04 02:15:32,756 - mmseg - INFO - Iter [69250/160000] lr: 1.875e-05, eta: 7:04:51, time: 0.236, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2039, decode.acc_seg: 91.8332, loss: 0.2039 2023-03-04 02:15:44,514 - mmseg - INFO - Iter [69300/160000] lr: 1.875e-05, eta: 7:04:34, time: 0.235, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2060, decode.acc_seg: 91.9059, loss: 0.2060 2023-03-04 02:15:56,092 - mmseg - INFO - Iter [69350/160000] lr: 1.875e-05, eta: 7:04:17, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1991, decode.acc_seg: 92.0311, loss: 0.1991 2023-03-04 02:16:07,947 - mmseg - INFO - Iter [69400/160000] lr: 1.875e-05, eta: 7:04:00, time: 0.237, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1997, decode.acc_seg: 91.9989, loss: 0.1997 2023-03-04 02:16:22,206 - mmseg - INFO - Iter [69450/160000] lr: 1.875e-05, eta: 7:03:46, time: 0.285, data_time: 0.055, memory: 67409, decode.loss_ce: 0.2015, decode.acc_seg: 92.0300, loss: 0.2015 2023-03-04 02:16:33,937 - mmseg - INFO - Iter [69500/160000] lr: 1.875e-05, eta: 7:03:29, time: 0.235, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2010, decode.acc_seg: 91.8572, loss: 0.2010 2023-03-04 02:16:45,390 - mmseg - INFO - Iter [69550/160000] lr: 1.875e-05, eta: 7:03:12, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2035, decode.acc_seg: 91.8618, loss: 0.2035 2023-03-04 02:16:56,817 - mmseg - INFO - Iter [69600/160000] lr: 1.875e-05, eta: 7:02:54, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2077, decode.acc_seg: 91.6606, loss: 0.2077 2023-03-04 02:17:08,341 - mmseg - INFO - Iter [69650/160000] lr: 1.875e-05, eta: 7:02:37, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1995, decode.acc_seg: 91.8683, loss: 0.1995 2023-03-04 02:17:19,972 - mmseg - INFO - Iter [69700/160000] lr: 1.875e-05, eta: 7:02:20, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2032, decode.acc_seg: 91.7885, loss: 0.2032 2023-03-04 02:17:31,548 - mmseg - INFO - Iter [69750/160000] lr: 1.875e-05, eta: 7:02:03, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2024, decode.acc_seg: 91.9220, loss: 0.2024 2023-03-04 02:17:43,125 - mmseg - INFO - Iter [69800/160000] lr: 1.875e-05, eta: 7:01:46, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2024, decode.acc_seg: 91.9445, loss: 0.2024 2023-03-04 02:17:54,547 - mmseg - INFO - Iter [69850/160000] lr: 1.875e-05, eta: 7:01:28, time: 0.228, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2012, decode.acc_seg: 92.0029, loss: 0.2012 2023-03-04 02:18:05,981 - mmseg - INFO - Iter [69900/160000] lr: 1.875e-05, eta: 7:01:11, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2048, decode.acc_seg: 91.9158, loss: 0.2048 2023-03-04 02:18:17,729 - mmseg - INFO - Iter [69950/160000] lr: 1.875e-05, eta: 7:00:54, time: 0.235, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2049, decode.acc_seg: 91.7486, loss: 0.2049 2023-03-04 02:18:29,890 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 02:18:29,891 - mmseg - INFO - Iter [70000/160000] lr: 1.875e-05, eta: 7:00:37, time: 0.243, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1985, decode.acc_seg: 92.0905, loss: 0.1985 2023-03-04 02:18:44,093 - mmseg - INFO - Iter [70050/160000] lr: 1.875e-05, eta: 7:00:24, time: 0.284, data_time: 0.054, memory: 67409, decode.loss_ce: 0.1988, decode.acc_seg: 92.0412, loss: 0.1988 2023-03-04 02:18:55,643 - mmseg - INFO - Iter [70100/160000] lr: 1.875e-05, eta: 7:00:07, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1990, decode.acc_seg: 92.0206, loss: 0.1990 2023-03-04 02:19:07,164 - mmseg - INFO - Iter [70150/160000] lr: 1.875e-05, eta: 6:59:49, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2001, decode.acc_seg: 91.8855, loss: 0.2001 2023-03-04 02:19:18,830 - mmseg - INFO - Iter [70200/160000] lr: 1.875e-05, eta: 6:59:32, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2032, decode.acc_seg: 91.9520, loss: 0.2032 2023-03-04 02:19:30,297 - mmseg - INFO - Iter [70250/160000] lr: 1.875e-05, eta: 6:59:15, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2029, decode.acc_seg: 91.9461, loss: 0.2029 2023-03-04 02:19:41,868 - mmseg - INFO - Iter [70300/160000] lr: 1.875e-05, eta: 6:58:58, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2057, decode.acc_seg: 91.7802, loss: 0.2057 2023-03-04 02:19:53,329 - mmseg - INFO - Iter [70350/160000] lr: 1.875e-05, eta: 6:58:41, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1975, decode.acc_seg: 91.9783, loss: 0.1975 2023-03-04 02:20:05,059 - mmseg - INFO - Iter [70400/160000] lr: 1.875e-05, eta: 6:58:24, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2037, decode.acc_seg: 91.9675, loss: 0.2037 2023-03-04 02:20:16,739 - mmseg - INFO - Iter [70450/160000] lr: 1.875e-05, eta: 6:58:07, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2020, decode.acc_seg: 91.8770, loss: 0.2020 2023-03-04 02:20:28,341 - mmseg - INFO - Iter [70500/160000] lr: 1.875e-05, eta: 6:57:50, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2025, decode.acc_seg: 91.7912, loss: 0.2025 2023-03-04 02:20:39,969 - mmseg - INFO - Iter [70550/160000] lr: 1.875e-05, eta: 6:57:33, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1975, decode.acc_seg: 91.9116, loss: 0.1975 2023-03-04 02:20:51,643 - mmseg - INFO - Iter [70600/160000] lr: 1.875e-05, eta: 6:57:16, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2042, decode.acc_seg: 91.9239, loss: 0.2042 2023-03-04 02:21:03,223 - mmseg - INFO - Iter [70650/160000] lr: 1.875e-05, eta: 6:56:59, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1988, decode.acc_seg: 91.8590, loss: 0.1988 2023-03-04 02:21:17,342 - mmseg - INFO - Iter [70700/160000] lr: 1.875e-05, eta: 6:56:45, time: 0.282, data_time: 0.055, memory: 67409, decode.loss_ce: 0.2062, decode.acc_seg: 91.6620, loss: 0.2062 2023-03-04 02:21:28,928 - mmseg - INFO - Iter [70750/160000] lr: 1.875e-05, eta: 6:56:28, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2045, decode.acc_seg: 91.8618, loss: 0.2045 2023-03-04 02:21:40,482 - mmseg - INFO - Iter [70800/160000] lr: 1.875e-05, eta: 6:56:11, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1976, decode.acc_seg: 92.0826, loss: 0.1976 2023-03-04 02:21:52,065 - mmseg - INFO - Iter [70850/160000] lr: 1.875e-05, eta: 6:55:54, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2031, decode.acc_seg: 91.7906, loss: 0.2031 2023-03-04 02:22:03,602 - mmseg - INFO - Iter [70900/160000] lr: 1.875e-05, eta: 6:55:37, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2038, decode.acc_seg: 91.6932, loss: 0.2038 2023-03-04 02:22:15,262 - mmseg - INFO - Iter [70950/160000] lr: 1.875e-05, eta: 6:55:20, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2020, decode.acc_seg: 91.9511, loss: 0.2020 2023-03-04 02:22:26,852 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 02:22:26,852 - mmseg - INFO - Iter [71000/160000] lr: 1.875e-05, eta: 6:55:03, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1996, decode.acc_seg: 92.0073, loss: 0.1996 2023-03-04 02:22:38,485 - mmseg - INFO - Iter [71050/160000] lr: 1.875e-05, eta: 6:54:46, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2094, decode.acc_seg: 91.4698, loss: 0.2094 2023-03-04 02:22:50,136 - mmseg - INFO - Iter [71100/160000] lr: 1.875e-05, eta: 6:54:29, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1942, decode.acc_seg: 92.2697, loss: 0.1942 2023-03-04 02:23:01,559 - mmseg - INFO - Iter [71150/160000] lr: 1.875e-05, eta: 6:54:12, time: 0.228, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2052, decode.acc_seg: 91.6850, loss: 0.2052 2023-03-04 02:23:13,001 - mmseg - INFO - Iter [71200/160000] lr: 1.875e-05, eta: 6:53:54, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2052, decode.acc_seg: 91.7892, loss: 0.2052 2023-03-04 02:23:24,585 - mmseg - INFO - Iter [71250/160000] lr: 1.875e-05, eta: 6:53:37, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2000, decode.acc_seg: 91.9184, loss: 0.2000 2023-03-04 02:23:36,014 - mmseg - INFO - Iter [71300/160000] lr: 1.875e-05, eta: 6:53:20, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2076, decode.acc_seg: 91.4980, loss: 0.2076 2023-03-04 02:23:50,181 - mmseg - INFO - Iter [71350/160000] lr: 1.875e-05, eta: 6:53:07, time: 0.283, data_time: 0.054, memory: 67409, decode.loss_ce: 0.2088, decode.acc_seg: 91.7769, loss: 0.2088 2023-03-04 02:24:01,703 - mmseg - INFO - Iter [71400/160000] lr: 1.875e-05, eta: 6:52:49, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2053, decode.acc_seg: 91.9045, loss: 0.2053 2023-03-04 02:24:13,303 - mmseg - INFO - Iter [71450/160000] lr: 1.875e-05, eta: 6:52:33, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2014, decode.acc_seg: 91.9616, loss: 0.2014 2023-03-04 02:24:24,909 - mmseg - INFO - Iter [71500/160000] lr: 1.875e-05, eta: 6:52:16, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2022, decode.acc_seg: 91.8445, loss: 0.2022 2023-03-04 02:24:36,639 - mmseg - INFO - Iter [71550/160000] lr: 1.875e-05, eta: 6:51:59, time: 0.235, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1953, decode.acc_seg: 92.0707, loss: 0.1953 2023-03-04 02:24:48,189 - mmseg - INFO - Iter [71600/160000] lr: 1.875e-05, eta: 6:51:42, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1956, decode.acc_seg: 92.1402, loss: 0.1956 2023-03-04 02:24:59,689 - mmseg - INFO - Iter [71650/160000] lr: 1.875e-05, eta: 6:51:25, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1947, decode.acc_seg: 92.2723, loss: 0.1947 2023-03-04 02:25:11,191 - mmseg - INFO - Iter [71700/160000] lr: 1.875e-05, eta: 6:51:08, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2031, decode.acc_seg: 91.8087, loss: 0.2031 2023-03-04 02:25:23,033 - mmseg - INFO - Iter [71750/160000] lr: 1.875e-05, eta: 6:50:51, time: 0.237, data_time: 0.008, memory: 67409, decode.loss_ce: 0.2051, decode.acc_seg: 91.8131, loss: 0.2051 2023-03-04 02:25:34,670 - mmseg - INFO - Iter [71800/160000] lr: 1.875e-05, eta: 6:50:34, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2018, decode.acc_seg: 91.9604, loss: 0.2018 2023-03-04 02:25:46,184 - mmseg - INFO - Iter [71850/160000] lr: 1.875e-05, eta: 6:50:18, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2085, decode.acc_seg: 91.5589, loss: 0.2085 2023-03-04 02:25:57,663 - mmseg - INFO - Iter [71900/160000] lr: 1.875e-05, eta: 6:50:00, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2042, decode.acc_seg: 91.7542, loss: 0.2042 2023-03-04 02:26:11,793 - mmseg - INFO - Iter [71950/160000] lr: 1.875e-05, eta: 6:49:47, time: 0.283, data_time: 0.055, memory: 67409, decode.loss_ce: 0.1937, decode.acc_seg: 92.3097, loss: 0.1937 2023-03-04 02:26:23,278 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 02:26:23,278 - mmseg - INFO - Iter [72000/160000] lr: 1.875e-05, eta: 6:49:30, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1996, decode.acc_seg: 91.9189, loss: 0.1996 2023-03-04 02:26:34,746 - mmseg - INFO - Iter [72050/160000] lr: 1.875e-05, eta: 6:49:13, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2002, decode.acc_seg: 92.0137, loss: 0.2002 2023-03-04 02:26:46,306 - mmseg - INFO - Iter [72100/160000] lr: 1.875e-05, eta: 6:48:56, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1994, decode.acc_seg: 92.0338, loss: 0.1994 2023-03-04 02:26:57,933 - mmseg - INFO - Iter [72150/160000] lr: 1.875e-05, eta: 6:48:39, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2030, decode.acc_seg: 91.8984, loss: 0.2030 2023-03-04 02:27:09,479 - mmseg - INFO - Iter [72200/160000] lr: 1.875e-05, eta: 6:48:22, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2076, decode.acc_seg: 91.7583, loss: 0.2076 2023-03-04 02:27:21,029 - mmseg - INFO - Iter [72250/160000] lr: 1.875e-05, eta: 6:48:05, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1985, decode.acc_seg: 92.0073, loss: 0.1985 2023-03-04 02:27:32,633 - mmseg - INFO - Iter [72300/160000] lr: 1.875e-05, eta: 6:47:49, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2003, decode.acc_seg: 91.9392, loss: 0.2003 2023-03-04 02:27:44,183 - mmseg - INFO - Iter [72350/160000] lr: 1.875e-05, eta: 6:47:32, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2106, decode.acc_seg: 91.6435, loss: 0.2106 2023-03-04 02:27:55,704 - mmseg - INFO - Iter [72400/160000] lr: 1.875e-05, eta: 6:47:15, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1956, decode.acc_seg: 92.0725, loss: 0.1956 2023-03-04 02:28:07,414 - mmseg - INFO - Iter [72450/160000] lr: 1.875e-05, eta: 6:46:58, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1997, decode.acc_seg: 92.1420, loss: 0.1997 2023-03-04 02:28:18,975 - mmseg - INFO - Iter [72500/160000] lr: 1.875e-05, eta: 6:46:41, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2074, decode.acc_seg: 91.7699, loss: 0.2074 2023-03-04 02:28:30,736 - mmseg - INFO - Iter [72550/160000] lr: 1.875e-05, eta: 6:46:25, time: 0.235, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2001, decode.acc_seg: 92.0651, loss: 0.2001 2023-03-04 02:28:44,902 - mmseg - INFO - Iter [72600/160000] lr: 1.875e-05, eta: 6:46:11, time: 0.283, data_time: 0.053, memory: 67409, decode.loss_ce: 0.2049, decode.acc_seg: 91.8935, loss: 0.2049 2023-03-04 02:28:56,364 - mmseg - INFO - Iter [72650/160000] lr: 1.875e-05, eta: 6:45:54, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2072, decode.acc_seg: 91.7853, loss: 0.2072 2023-03-04 02:29:07,787 - mmseg - INFO - Iter [72700/160000] lr: 1.875e-05, eta: 6:45:37, time: 0.228, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2073, decode.acc_seg: 91.6664, loss: 0.2073 2023-03-04 02:29:19,661 - mmseg - INFO - Iter [72750/160000] lr: 1.875e-05, eta: 6:45:21, time: 0.237, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1972, decode.acc_seg: 92.1538, loss: 0.1972 2023-03-04 02:29:31,304 - mmseg - INFO - Iter [72800/160000] lr: 1.875e-05, eta: 6:45:04, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2102, decode.acc_seg: 91.6234, loss: 0.2102 2023-03-04 02:29:42,926 - mmseg - INFO - Iter [72850/160000] lr: 1.875e-05, eta: 6:44:47, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1990, decode.acc_seg: 92.1359, loss: 0.1990 2023-03-04 02:29:54,490 - mmseg - INFO - Iter [72900/160000] lr: 1.875e-05, eta: 6:44:31, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1988, decode.acc_seg: 92.0401, loss: 0.1988 2023-03-04 02:30:06,051 - mmseg - INFO - Iter [72950/160000] lr: 1.875e-05, eta: 6:44:14, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1960, decode.acc_seg: 91.9460, loss: 0.1960 2023-03-04 02:30:17,496 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 02:30:17,497 - mmseg - INFO - Iter [73000/160000] lr: 1.875e-05, eta: 6:43:57, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2118, decode.acc_seg: 91.4899, loss: 0.2118 2023-03-04 02:30:29,029 - mmseg - INFO - Iter [73050/160000] lr: 1.875e-05, eta: 6:43:40, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1931, decode.acc_seg: 92.0732, loss: 0.1931 2023-03-04 02:30:40,581 - mmseg - INFO - Iter [73100/160000] lr: 1.875e-05, eta: 6:43:23, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1999, decode.acc_seg: 92.0049, loss: 0.1999 2023-03-04 02:30:52,141 - mmseg - INFO - Iter [73150/160000] lr: 1.875e-05, eta: 6:43:07, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2016, decode.acc_seg: 91.8408, loss: 0.2016 2023-03-04 02:31:06,212 - mmseg - INFO - Iter [73200/160000] lr: 1.875e-05, eta: 6:42:53, time: 0.281, data_time: 0.056, memory: 67409, decode.loss_ce: 0.2042, decode.acc_seg: 91.7633, loss: 0.2042 2023-03-04 02:31:17,973 - mmseg - INFO - Iter [73250/160000] lr: 1.875e-05, eta: 6:42:36, time: 0.235, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2046, decode.acc_seg: 91.8666, loss: 0.2046 2023-03-04 02:31:29,462 - mmseg - INFO - Iter [73300/160000] lr: 1.875e-05, eta: 6:42:20, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1976, decode.acc_seg: 92.1817, loss: 0.1976 2023-03-04 02:31:41,456 - mmseg - INFO - Iter [73350/160000] lr: 1.875e-05, eta: 6:42:03, time: 0.240, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2027, decode.acc_seg: 91.8238, loss: 0.2027 2023-03-04 02:31:53,038 - mmseg - INFO - Iter [73400/160000] lr: 1.875e-05, eta: 6:41:47, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2136, decode.acc_seg: 91.5022, loss: 0.2136 2023-03-04 02:32:04,808 - mmseg - INFO - Iter [73450/160000] lr: 1.875e-05, eta: 6:41:30, time: 0.235, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2022, decode.acc_seg: 91.9038, loss: 0.2022 2023-03-04 02:32:16,358 - mmseg - INFO - Iter [73500/160000] lr: 1.875e-05, eta: 6:41:14, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2051, decode.acc_seg: 91.8292, loss: 0.2051 2023-03-04 02:32:27,844 - mmseg - INFO - Iter [73550/160000] lr: 1.875e-05, eta: 6:40:57, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1962, decode.acc_seg: 92.1146, loss: 0.1962 2023-03-04 02:32:39,273 - mmseg - INFO - Iter [73600/160000] lr: 1.875e-05, eta: 6:40:40, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1920, decode.acc_seg: 92.2997, loss: 0.1920 2023-03-04 02:32:50,965 - mmseg - INFO - Iter [73650/160000] lr: 1.875e-05, eta: 6:40:23, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2070, decode.acc_seg: 91.9194, loss: 0.2070 2023-03-04 02:33:02,535 - mmseg - INFO - Iter [73700/160000] lr: 1.875e-05, eta: 6:40:07, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1987, decode.acc_seg: 91.9889, loss: 0.1987 2023-03-04 02:33:14,258 - mmseg - INFO - Iter [73750/160000] lr: 1.875e-05, eta: 6:39:50, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2104, decode.acc_seg: 91.6042, loss: 0.2104 2023-03-04 02:33:25,926 - mmseg - INFO - Iter [73800/160000] lr: 1.875e-05, eta: 6:39:34, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2062, decode.acc_seg: 91.6374, loss: 0.2062 2023-03-04 02:33:40,016 - mmseg - INFO - Iter [73850/160000] lr: 1.875e-05, eta: 6:39:20, time: 0.282, data_time: 0.054, memory: 67409, decode.loss_ce: 0.2044, decode.acc_seg: 91.9573, loss: 0.2044 2023-03-04 02:33:51,530 - mmseg - INFO - Iter [73900/160000] lr: 1.875e-05, eta: 6:39:03, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2026, decode.acc_seg: 91.8609, loss: 0.2026 2023-03-04 02:34:03,338 - mmseg - INFO - Iter [73950/160000] lr: 1.875e-05, eta: 6:38:47, time: 0.236, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2070, decode.acc_seg: 91.6573, loss: 0.2070 2023-03-04 02:34:14,927 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 02:34:14,927 - mmseg - INFO - Iter [74000/160000] lr: 1.875e-05, eta: 6:38:30, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2085, decode.acc_seg: 91.6851, loss: 0.2085 2023-03-04 02:34:26,596 - mmseg - INFO - Iter [74050/160000] lr: 1.875e-05, eta: 6:38:14, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1930, decode.acc_seg: 92.2336, loss: 0.1930 2023-03-04 02:34:38,178 - mmseg - INFO - Iter [74100/160000] lr: 1.875e-05, eta: 6:37:57, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1990, decode.acc_seg: 92.0362, loss: 0.1990 2023-03-04 02:34:49,817 - mmseg - INFO - Iter 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[74400/160000] lr: 1.875e-05, eta: 6:36:18, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2029, decode.acc_seg: 91.8821, loss: 0.2029 2023-03-04 02:35:59,046 - mmseg - INFO - Iter [74450/160000] lr: 1.875e-05, eta: 6:36:01, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2086, decode.acc_seg: 91.7893, loss: 0.2086 2023-03-04 02:36:13,057 - mmseg - INFO - Iter [74500/160000] lr: 1.875e-05, eta: 6:35:47, time: 0.280, data_time: 0.056, memory: 67409, decode.loss_ce: 0.2003, decode.acc_seg: 92.0048, loss: 0.2003 2023-03-04 02:36:24,738 - mmseg - INFO - Iter [74550/160000] lr: 1.875e-05, eta: 6:35:31, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2071, decode.acc_seg: 91.8194, loss: 0.2071 2023-03-04 02:36:36,372 - mmseg - INFO - Iter [74600/160000] lr: 1.875e-05, eta: 6:35:15, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2035, decode.acc_seg: 91.6972, loss: 0.2035 2023-03-04 02:36:48,024 - mmseg - INFO - Iter [74650/160000] lr: 1.875e-05, eta: 6:34:58, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2039, decode.acc_seg: 91.9186, loss: 0.2039 2023-03-04 02:36:59,562 - mmseg - INFO - Iter [74700/160000] lr: 1.875e-05, eta: 6:34:42, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2103, decode.acc_seg: 91.6619, loss: 0.2103 2023-03-04 02:37:11,044 - mmseg - INFO - Iter [74750/160000] lr: 1.875e-05, eta: 6:34:25, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2005, decode.acc_seg: 91.8770, loss: 0.2005 2023-03-04 02:37:22,612 - mmseg - INFO - Iter [74800/160000] lr: 1.875e-05, eta: 6:34:08, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1977, decode.acc_seg: 92.1163, loss: 0.1977 2023-03-04 02:37:34,126 - mmseg - INFO - Iter [74850/160000] lr: 1.875e-05, eta: 6:33:52, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2042, decode.acc_seg: 91.8361, loss: 0.2042 2023-03-04 02:37:45,614 - mmseg - INFO - Iter [74900/160000] lr: 1.875e-05, eta: 6:33:35, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1996, decode.acc_seg: 92.1338, loss: 0.1996 2023-03-04 02:37:57,277 - mmseg - INFO - Iter [74950/160000] lr: 1.875e-05, eta: 6:33:19, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1916, decode.acc_seg: 92.1592, loss: 0.1916 2023-03-04 02:38:08,723 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 02:38:08,723 - mmseg - INFO - Iter [75000/160000] lr: 1.875e-05, eta: 6:33:02, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1956, decode.acc_seg: 92.2096, loss: 0.1956 2023-03-04 02:38:20,340 - mmseg - INFO - Iter [75050/160000] lr: 1.875e-05, eta: 6:32:46, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2105, decode.acc_seg: 91.7115, loss: 0.2105 2023-03-04 02:38:34,390 - mmseg - INFO - Iter [75100/160000] lr: 1.875e-05, eta: 6:32:32, time: 0.281, data_time: 0.054, memory: 67409, decode.loss_ce: 0.2014, decode.acc_seg: 91.7930, loss: 0.2014 2023-03-04 02:38:45,997 - mmseg - INFO - Iter [75150/160000] lr: 1.875e-05, eta: 6:32:16, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2056, decode.acc_seg: 91.7539, loss: 0.2056 2023-03-04 02:38:57,747 - mmseg - INFO - Iter [75200/160000] lr: 1.875e-05, eta: 6:32:00, time: 0.235, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1943, decode.acc_seg: 92.1459, loss: 0.1943 2023-03-04 02:39:09,335 - mmseg - INFO - Iter [75250/160000] lr: 1.875e-05, eta: 6:31:43, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1990, decode.acc_seg: 92.0132, loss: 0.1990 2023-03-04 02:39:20,804 - mmseg - INFO - Iter [75300/160000] lr: 1.875e-05, eta: 6:31:27, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1997, decode.acc_seg: 92.1135, loss: 0.1997 2023-03-04 02:39:32,263 - mmseg - INFO - Iter [75350/160000] lr: 1.875e-05, eta: 6:31:10, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2124, decode.acc_seg: 91.5698, loss: 0.2124 2023-03-04 02:39:43,786 - mmseg - INFO - Iter [75400/160000] lr: 1.875e-05, eta: 6:30:53, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1983, decode.acc_seg: 92.0262, loss: 0.1983 2023-03-04 02:39:55,238 - mmseg - INFO - Iter [75450/160000] lr: 1.875e-05, eta: 6:30:37, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2039, decode.acc_seg: 91.8099, loss: 0.2039 2023-03-04 02:40:06,641 - mmseg - INFO - Iter [75500/160000] lr: 1.875e-05, eta: 6:30:20, time: 0.228, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2054, decode.acc_seg: 91.6620, loss: 0.2054 2023-03-04 02:40:18,206 - mmseg - INFO - Iter [75550/160000] lr: 1.875e-05, eta: 6:30:04, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1990, decode.acc_seg: 92.0077, loss: 0.1990 2023-03-04 02:40:29,647 - mmseg - INFO - Iter [75600/160000] lr: 1.875e-05, eta: 6:29:47, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2052, decode.acc_seg: 91.9014, loss: 0.2052 2023-03-04 02:40:41,185 - mmseg - INFO - Iter [75650/160000] lr: 1.875e-05, eta: 6:29:31, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2046, decode.acc_seg: 91.6667, loss: 0.2046 2023-03-04 02:40:52,665 - mmseg - INFO - Iter [75700/160000] lr: 1.875e-05, eta: 6:29:14, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2015, decode.acc_seg: 91.8425, loss: 0.2015 2023-03-04 02:41:06,828 - mmseg - INFO - Iter [75750/160000] lr: 1.875e-05, eta: 6:29:01, time: 0.283, data_time: 0.056, memory: 67409, decode.loss_ce: 0.2119, decode.acc_seg: 91.5975, loss: 0.2119 2023-03-04 02:41:18,314 - mmseg - INFO - Iter [75800/160000] lr: 1.875e-05, eta: 6:28:44, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2024, decode.acc_seg: 91.8421, loss: 0.2024 2023-03-04 02:41:29,815 - mmseg - INFO - Iter [75850/160000] lr: 1.875e-05, eta: 6:28:28, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1949, decode.acc_seg: 92.0984, loss: 0.1949 2023-03-04 02:41:41,449 - mmseg - INFO - Iter [75900/160000] lr: 1.875e-05, eta: 6:28:12, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2018, decode.acc_seg: 91.9041, loss: 0.2018 2023-03-04 02:41:53,027 - mmseg - INFO - Iter [75950/160000] lr: 1.875e-05, eta: 6:27:55, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1976, decode.acc_seg: 91.9679, loss: 0.1976 2023-03-04 02:42:04,497 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 02:42:04,497 - mmseg - INFO - Iter [76000/160000] lr: 1.875e-05, eta: 6:27:39, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2038, decode.acc_seg: 91.8501, loss: 0.2038 2023-03-04 02:42:15,999 - mmseg - INFO - Iter [76050/160000] lr: 1.875e-05, eta: 6:27:22, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1981, decode.acc_seg: 91.9578, loss: 0.1981 2023-03-04 02:42:27,543 - mmseg - INFO - Iter [76100/160000] lr: 1.875e-05, eta: 6:27:06, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1992, decode.acc_seg: 91.9928, loss: 0.1992 2023-03-04 02:42:39,213 - mmseg - INFO - Iter [76150/160000] lr: 1.875e-05, eta: 6:26:50, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2001, decode.acc_seg: 91.8936, loss: 0.2001 2023-03-04 02:42:50,899 - mmseg - INFO - Iter [76200/160000] lr: 1.875e-05, eta: 6:26:34, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2012, decode.acc_seg: 91.7406, loss: 0.2012 2023-03-04 02:43:02,475 - mmseg - INFO - Iter [76250/160000] lr: 1.875e-05, eta: 6:26:17, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2042, decode.acc_seg: 91.7525, loss: 0.2042 2023-03-04 02:43:14,192 - mmseg - INFO - Iter [76300/160000] lr: 1.875e-05, eta: 6:26:01, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2008, decode.acc_seg: 91.9401, loss: 0.2008 2023-03-04 02:43:25,561 - mmseg - INFO - Iter [76350/160000] lr: 1.875e-05, eta: 6:25:45, time: 0.227, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1982, decode.acc_seg: 91.9946, loss: 0.1982 2023-03-04 02:43:39,581 - mmseg - INFO - Iter [76400/160000] lr: 1.875e-05, eta: 6:25:31, time: 0.280, data_time: 0.055, memory: 67409, decode.loss_ce: 0.1952, decode.acc_seg: 91.9799, loss: 0.1952 2023-03-04 02:43:51,057 - mmseg - INFO - Iter [76450/160000] lr: 1.875e-05, eta: 6:25:14, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1992, decode.acc_seg: 92.0088, loss: 0.1992 2023-03-04 02:44:02,661 - mmseg - INFO - Iter [76500/160000] lr: 1.875e-05, eta: 6:24:58, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2069, decode.acc_seg: 91.7678, loss: 0.2069 2023-03-04 02:44:14,101 - mmseg - INFO - Iter [76550/160000] lr: 1.875e-05, eta: 6:24:42, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1974, decode.acc_seg: 91.9898, loss: 0.1974 2023-03-04 02:44:25,682 - mmseg - INFO - Iter [76600/160000] lr: 1.875e-05, eta: 6:24:25, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2029, decode.acc_seg: 91.9559, loss: 0.2029 2023-03-04 02:44:37,147 - mmseg - INFO - Iter [76650/160000] lr: 1.875e-05, eta: 6:24:09, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1958, decode.acc_seg: 92.2540, loss: 0.1958 2023-03-04 02:44:48,644 - mmseg - INFO - Iter [76700/160000] lr: 1.875e-05, eta: 6:23:53, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2052, decode.acc_seg: 91.9773, loss: 0.2052 2023-03-04 02:45:00,492 - mmseg - INFO - Iter [76750/160000] lr: 1.875e-05, eta: 6:23:37, time: 0.237, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2016, decode.acc_seg: 91.9716, loss: 0.2016 2023-03-04 02:45:12,178 - mmseg - INFO - Iter [76800/160000] lr: 1.875e-05, eta: 6:23:21, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1890, decode.acc_seg: 92.3313, loss: 0.1890 2023-03-04 02:45:23,845 - mmseg - INFO - Iter [76850/160000] lr: 1.875e-05, eta: 6:23:04, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2173, decode.acc_seg: 91.4099, loss: 0.2173 2023-03-04 02:45:35,549 - mmseg - INFO - Iter [76900/160000] lr: 1.875e-05, eta: 6:22:48, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2032, decode.acc_seg: 91.7099, loss: 0.2032 2023-03-04 02:45:47,005 - mmseg - INFO - Iter [76950/160000] lr: 1.875e-05, eta: 6:22:32, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1979, decode.acc_seg: 92.0276, loss: 0.1979 2023-03-04 02:46:01,142 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 02:46:01,142 - mmseg - INFO - Iter [77000/160000] lr: 1.875e-05, eta: 6:22:19, time: 0.283, data_time: 0.054, memory: 67409, decode.loss_ce: 0.1982, decode.acc_seg: 92.0495, loss: 0.1982 2023-03-04 02:46:12,813 - mmseg - INFO - Iter [77050/160000] lr: 1.875e-05, eta: 6:22:02, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2026, decode.acc_seg: 91.8068, loss: 0.2026 2023-03-04 02:46:24,366 - mmseg - INFO - Iter [77100/160000] lr: 1.875e-05, eta: 6:21:46, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2027, decode.acc_seg: 91.8761, loss: 0.2027 2023-03-04 02:46:35,985 - mmseg - INFO - Iter [77150/160000] lr: 1.875e-05, eta: 6:21:30, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1958, decode.acc_seg: 92.0184, loss: 0.1958 2023-03-04 02:46:47,692 - mmseg - INFO - Iter [77200/160000] lr: 1.875e-05, eta: 6:21:14, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1944, decode.acc_seg: 92.0533, loss: 0.1944 2023-03-04 02:46:59,264 - mmseg - INFO - Iter [77250/160000] lr: 1.875e-05, eta: 6:20:58, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2028, decode.acc_seg: 91.8444, loss: 0.2028 2023-03-04 02:47:11,049 - mmseg - INFO - Iter [77300/160000] lr: 1.875e-05, eta: 6:20:42, time: 0.236, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2025, decode.acc_seg: 91.9244, loss: 0.2025 2023-03-04 02:47:22,589 - mmseg - INFO - Iter [77350/160000] lr: 1.875e-05, eta: 6:20:25, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2047, decode.acc_seg: 91.7815, loss: 0.2047 2023-03-04 02:47:34,040 - mmseg - INFO - Iter [77400/160000] lr: 1.875e-05, eta: 6:20:09, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2011, decode.acc_seg: 92.0013, loss: 0.2011 2023-03-04 02:47:45,610 - mmseg - INFO - Iter [77450/160000] lr: 1.875e-05, eta: 6:19:53, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1990, decode.acc_seg: 91.8486, loss: 0.1990 2023-03-04 02:47:57,102 - mmseg - INFO - Iter [77500/160000] lr: 1.875e-05, eta: 6:19:37, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2106, decode.acc_seg: 91.5747, loss: 0.2106 2023-03-04 02:48:08,857 - mmseg - INFO - Iter [77550/160000] lr: 1.875e-05, eta: 6:19:21, time: 0.235, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2011, decode.acc_seg: 91.8609, loss: 0.2011 2023-03-04 02:48:20,314 - mmseg - INFO - Iter [77600/160000] lr: 1.875e-05, eta: 6:19:04, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1979, decode.acc_seg: 92.0425, loss: 0.1979 2023-03-04 02:48:34,324 - mmseg - INFO - Iter [77650/160000] lr: 1.875e-05, eta: 6:18:51, time: 0.280, data_time: 0.054, memory: 67409, decode.loss_ce: 0.2078, decode.acc_seg: 91.6592, loss: 0.2078 2023-03-04 02:48:45,818 - mmseg - INFO - Iter [77700/160000] lr: 1.875e-05, eta: 6:18:35, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2044, decode.acc_seg: 91.7764, loss: 0.2044 2023-03-04 02:48:57,318 - mmseg - INFO - Iter [77750/160000] lr: 1.875e-05, eta: 6:18:18, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2017, decode.acc_seg: 92.0241, loss: 0.2017 2023-03-04 02:49:08,869 - mmseg - INFO - Iter [77800/160000] lr: 1.875e-05, eta: 6:18:02, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2008, decode.acc_seg: 92.0025, loss: 0.2008 2023-03-04 02:49:20,396 - mmseg - INFO - Iter [77850/160000] lr: 1.875e-05, eta: 6:17:46, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2005, decode.acc_seg: 92.1188, loss: 0.2005 2023-03-04 02:49:31,832 - mmseg - INFO - Iter [77900/160000] lr: 1.875e-05, eta: 6:17:30, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2033, decode.acc_seg: 91.9062, loss: 0.2033 2023-03-04 02:49:43,543 - mmseg - INFO - Iter [77950/160000] lr: 1.875e-05, eta: 6:17:14, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1993, decode.acc_seg: 91.8830, loss: 0.1993 2023-03-04 02:49:55,128 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 02:49:55,128 - mmseg - INFO - Iter [78000/160000] lr: 1.875e-05, eta: 6:16:58, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2040, decode.acc_seg: 91.7934, loss: 0.2040 2023-03-04 02:50:07,063 - mmseg - INFO - Iter [78050/160000] lr: 1.875e-05, eta: 6:16:42, time: 0.239, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2005, decode.acc_seg: 91.8643, loss: 0.2005 2023-03-04 02:50:18,569 - mmseg - INFO - Iter [78100/160000] lr: 1.875e-05, eta: 6:16:26, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2009, decode.acc_seg: 92.0340, loss: 0.2009 2023-03-04 02:50:30,137 - mmseg - INFO - Iter [78150/160000] lr: 1.875e-05, eta: 6:16:10, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1980, decode.acc_seg: 92.0293, loss: 0.1980 2023-03-04 02:50:41,707 - mmseg - INFO - Iter [78200/160000] lr: 1.875e-05, eta: 6:15:53, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2099, decode.acc_seg: 91.5603, loss: 0.2099 2023-03-04 02:50:55,760 - mmseg - INFO - Iter [78250/160000] lr: 1.875e-05, eta: 6:15:40, time: 0.281, data_time: 0.054, memory: 67409, decode.loss_ce: 0.2032, decode.acc_seg: 91.9226, loss: 0.2032 2023-03-04 02:51:07,318 - mmseg - INFO - Iter [78300/160000] lr: 1.875e-05, eta: 6:15:24, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2035, decode.acc_seg: 91.8657, loss: 0.2035 2023-03-04 02:51:18,739 - mmseg - INFO - Iter [78350/160000] lr: 1.875e-05, eta: 6:15:08, time: 0.228, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1970, decode.acc_seg: 92.1911, loss: 0.1970 2023-03-04 02:51:30,233 - mmseg - INFO - Iter [78400/160000] lr: 1.875e-05, eta: 6:14:51, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1932, decode.acc_seg: 92.2370, loss: 0.1932 2023-03-04 02:51:41,738 - mmseg - INFO - Iter [78450/160000] lr: 1.875e-05, eta: 6:14:35, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2134, decode.acc_seg: 91.5863, loss: 0.2134 2023-03-04 02:51:53,194 - mmseg - INFO - Iter [78500/160000] lr: 1.875e-05, eta: 6:14:19, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1994, decode.acc_seg: 91.9439, loss: 0.1994 2023-03-04 02:52:04,673 - mmseg - INFO - Iter [78550/160000] lr: 1.875e-05, eta: 6:14:03, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1993, decode.acc_seg: 92.0167, loss: 0.1993 2023-03-04 02:52:16,679 - mmseg - INFO - Iter [78600/160000] lr: 1.875e-05, eta: 6:13:47, time: 0.240, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2021, decode.acc_seg: 91.9366, loss: 0.2021 2023-03-04 02:52:28,165 - mmseg - INFO - Iter [78650/160000] lr: 1.875e-05, eta: 6:13:31, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2019, decode.acc_seg: 91.9989, loss: 0.2019 2023-03-04 02:52:39,714 - mmseg - INFO - Iter [78700/160000] lr: 1.875e-05, eta: 6:13:15, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2056, decode.acc_seg: 91.7830, loss: 0.2056 2023-03-04 02:52:51,258 - mmseg - INFO - Iter [78750/160000] lr: 1.875e-05, eta: 6:12:59, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2077, decode.acc_seg: 91.6508, loss: 0.2077 2023-03-04 02:53:02,720 - mmseg - INFO - Iter [78800/160000] lr: 1.875e-05, eta: 6:12:43, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2082, decode.acc_seg: 91.7545, loss: 0.2082 2023-03-04 02:53:14,335 - mmseg - INFO - Iter [78850/160000] lr: 1.875e-05, eta: 6:12:27, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2006, decode.acc_seg: 91.8265, loss: 0.2006 2023-03-04 02:53:28,652 - mmseg - INFO - Iter [78900/160000] lr: 1.875e-05, eta: 6:12:14, time: 0.286, data_time: 0.052, memory: 67409, decode.loss_ce: 0.2014, decode.acc_seg: 91.9197, loss: 0.2014 2023-03-04 02:53:40,292 - mmseg - INFO - Iter [78950/160000] lr: 1.875e-05, eta: 6:11:58, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1996, decode.acc_seg: 91.9508, loss: 0.1996 2023-03-04 02:53:51,951 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 02:53:51,951 - mmseg - INFO - Iter [79000/160000] lr: 1.875e-05, eta: 6:11:42, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2090, decode.acc_seg: 91.6765, loss: 0.2090 2023-03-04 02:54:03,451 - mmseg - INFO - Iter [79050/160000] lr: 1.875e-05, eta: 6:11:26, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2022, decode.acc_seg: 91.8393, loss: 0.2022 2023-03-04 02:54:14,996 - mmseg - INFO - Iter [79100/160000] lr: 1.875e-05, eta: 6:11:10, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2145, decode.acc_seg: 91.6142, loss: 0.2145 2023-03-04 02:54:26,784 - mmseg - INFO - Iter [79150/160000] lr: 1.875e-05, eta: 6:10:54, time: 0.236, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2041, decode.acc_seg: 91.8346, loss: 0.2041 2023-03-04 02:54:38,415 - mmseg - INFO - Iter [79200/160000] lr: 1.875e-05, eta: 6:10:38, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2064, decode.acc_seg: 91.7512, loss: 0.2064 2023-03-04 02:54:50,127 - mmseg - INFO - Iter [79250/160000] lr: 1.875e-05, eta: 6:10:22, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2028, decode.acc_seg: 91.9164, loss: 0.2028 2023-03-04 02:55:01,653 - mmseg - INFO - Iter [79300/160000] lr: 1.875e-05, eta: 6:10:06, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2003, decode.acc_seg: 92.0391, loss: 0.2003 2023-03-04 02:55:13,181 - mmseg - INFO - Iter [79350/160000] lr: 1.875e-05, eta: 6:09:50, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2016, decode.acc_seg: 91.8263, loss: 0.2016 2023-03-04 02:55:24,668 - mmseg - INFO - Iter [79400/160000] lr: 1.875e-05, eta: 6:09:34, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1990, decode.acc_seg: 92.0593, loss: 0.1990 2023-03-04 02:55:36,348 - mmseg - INFO - Iter [79450/160000] lr: 1.875e-05, eta: 6:09:18, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2193, decode.acc_seg: 91.3911, loss: 0.2193 2023-03-04 02:55:47,929 - mmseg - INFO - Iter [79500/160000] lr: 1.875e-05, eta: 6:09:02, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1993, decode.acc_seg: 91.9872, loss: 0.1993 2023-03-04 02:56:02,176 - mmseg - INFO - Iter [79550/160000] lr: 1.875e-05, eta: 6:08:49, time: 0.285, data_time: 0.055, memory: 67409, decode.loss_ce: 0.2003, decode.acc_seg: 91.8800, loss: 0.2003 2023-03-04 02:56:13,822 - mmseg - INFO - Iter [79600/160000] lr: 1.875e-05, eta: 6:08:33, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2010, decode.acc_seg: 91.9682, loss: 0.2010 2023-03-04 02:56:25,388 - mmseg - INFO - Iter [79650/160000] lr: 1.875e-05, eta: 6:08:17, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2004, decode.acc_seg: 91.9199, loss: 0.2004 2023-03-04 02:56:36,861 - mmseg - INFO - Iter [79700/160000] lr: 1.875e-05, eta: 6:08:01, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2004, decode.acc_seg: 91.7791, loss: 0.2004 2023-03-04 02:56:48,882 - mmseg - INFO - Iter [79750/160000] lr: 1.875e-05, eta: 6:07:45, time: 0.240, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2047, decode.acc_seg: 91.7565, loss: 0.2047 2023-03-04 02:57:00,354 - mmseg - INFO - Iter [79800/160000] lr: 1.875e-05, eta: 6:07:29, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1958, decode.acc_seg: 92.0450, loss: 0.1958 2023-03-04 02:57:12,141 - mmseg - INFO - Iter [79850/160000] lr: 1.875e-05, eta: 6:07:14, time: 0.236, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2005, decode.acc_seg: 91.9349, loss: 0.2005 2023-03-04 02:57:24,158 - mmseg - INFO - Iter [79900/160000] lr: 1.875e-05, eta: 6:06:58, time: 0.240, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2030, decode.acc_seg: 91.8422, loss: 0.2030 2023-03-04 02:57:36,202 - mmseg - INFO - Iter [79950/160000] lr: 1.875e-05, eta: 6:06:43, time: 0.241, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2065, decode.acc_seg: 91.6290, loss: 0.2065 2023-03-04 02:57:47,643 - mmseg - INFO - Swap parameters (after train) after iter [80000] 2023-03-04 02:57:47,657 - mmseg - INFO - Saving checkpoint at 80000 iterations 2023-03-04 02:57:49,053 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 02:57:49,053 - mmseg - INFO - Iter [80000/160000] lr: 1.875e-05, eta: 6:06:28, time: 0.257, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2084, decode.acc_seg: 91.5918, loss: 0.2084 2023-03-04 03:08:43,043 - mmseg - INFO - per class results: 2023-03-04 03:08:43,051 - mmseg - INFO - +---------------------+-------------------------------------------------------------------+ | Class | IoU 0,10,20,30,40,50,60,70,80,90,99 | +---------------------+-------------------------------------------------------------------+ | background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | | wall | 76.25,76.28,76.28,76.3,76.29,76.31,76.31,76.31,76.32,76.31,76.32 | | building | 82.68,82.69,82.71,82.72,82.72,82.72,82.72,82.72,82.72,82.71,82.72 | | sky | 94.19,94.19,94.2,94.2,94.2,94.2,94.2,94.2,94.2,94.2,94.22 | | floor | 78.88,78.92,78.92,78.95,78.95,78.96,78.98,78.98,79.0,79.01,79.04 | | tree | 73.4,73.44,73.44,73.43,73.47,73.42,73.42,73.44,73.43,73.42,73.48 | | ceiling | 82.66,82.67,82.7,82.69,82.69,82.69,82.69,82.71,82.7,82.68,82.7 | | road | 80.91,80.89,80.91,80.92,80.98,80.99,81.02,81.02,81.04,81.02,80.98 | | bed | 87.94,87.97,88.0,87.99,88.02,88.02,88.02,88.03,88.03,88.02,88.05 | | windowpane | 59.91,59.85,59.87,59.87,59.91,59.88,59.87,59.87,59.88,59.88,59.94 | | grass | 65.21,65.19,65.2,65.19,65.25,65.22,65.25,65.23,65.25,65.27,65.31 | | cabinet | 58.87,58.77,58.71,58.42,58.39,58.34,58.42,58.44,58.37,58.26,58.02 | | sidewalk | 64.43,64.37,64.42,64.49,64.53,64.53,64.61,64.59,64.63,64.62,64.62 | | person | 78.5,78.49,78.5,78.49,78.49,78.49,78.5,78.49,78.45,78.42,78.47 | | earth | 31.81,31.74,31.72,31.7,31.64,31.62,31.5,31.49,31.44,31.23,31.03 | | door | 46.38,46.41,46.45,46.35,46.5,46.45,46.45,46.46,46.55,46.58,46.68 | | table | 60.45,60.5,60.51,60.47,60.51,60.56,60.55,60.5,60.53,60.53,60.44 | | mountain | 52.32,52.38,52.31,52.34,52.38,52.33,52.35,52.4,52.35,52.32,52.35 | | plant | 51.82,51.9,51.93,51.86,51.94,51.87,51.85,51.89,51.85,51.78,51.92 | | curtain | 72.2,72.15,72.21,72.23,72.26,72.32,72.33,72.31,72.33,72.34,72.27 | | chair | 55.83,55.84,55.83,55.79,55.88,55.81,55.82,55.83,55.82,55.83,55.72 | | car | 81.58,81.53,81.53,81.52,81.47,81.44,81.43,81.37,81.33,81.33,81.41 | | water | 45.49,45.46,45.45,45.45,45.43,45.37,45.3,45.35,45.34,45.28,45.34 | | painting | 70.72,70.78,70.76,70.83,70.78,70.81,70.84,70.89,70.97,70.94,71.04 | | sofa | 64.41,64.32,64.48,64.45,64.52,64.58,64.69,64.72,64.81,64.85,64.65 | | shelf | 40.14,40.12,40.21,40.14,40.22,40.22,40.21,40.23,40.27,40.25,40.22 | | house | 46.52,46.5,46.54,46.6,46.58,46.64,46.65,46.65,46.58,46.55,46.81 | | sea | 42.39,42.39,42.4,42.35,42.33,42.38,42.33,42.35,42.34,42.29,42.39 | | mirror | 63.8,63.9,63.88,63.91,64.0,63.98,63.99,64.01,64.02,64.02,64.03 | | rug | 55.46,55.6,55.65,55.76,55.69,55.78,55.82,55.75,55.91,55.94,56.25 | | field | 23.51,23.58,23.58,23.61,23.7,23.63,23.68,23.7,23.74,23.79,23.83 | | armchair | 43.25,43.13,43.31,43.24,43.37,43.42,43.65,43.73,43.92,43.92,43.43 | | seat | 58.4,58.43,58.39,58.34,58.43,58.41,58.35,58.31,58.24,58.27,58.48 | | fence | 35.01,35.16,35.3,35.42,35.48,35.64,35.74,35.75,35.77,35.84,35.96 | | desk | 49.11,49.14,49.19,49.2,49.25,49.25,49.22,49.2,49.22,49.16,48.86 | | rock | 30.47,30.55,30.6,30.67,30.68,30.79,30.88,30.98,31.16,31.2,30.82 | | wardrobe | 43.63,43.15,42.9,42.46,42.13,42.02,42.08,42.09,42.03,41.84,41.24 | | lamp | 63.38,63.41,63.45,63.45,63.45,63.49,63.54,63.48,63.55,63.52,63.54 | | bathtub | 76.18,76.46,76.13,76.26,76.26,76.42,76.39,76.27,76.26,76.08,75.79 | | railing | 28.89,28.8,28.86,28.84,28.87,28.87,28.74,28.84,28.82,28.84,28.73 | | cushion | 54.27,54.32,54.39,54.45,54.58,54.66,54.68,54.66,54.75,54.75,54.5 | | base | 21.33,21.43,21.43,21.43,21.48,21.58,21.53,21.52,21.51,21.49,21.68 | | box | 22.3,22.27,22.26,22.41,22.42,22.47,22.44,22.49,22.4,22.39,22.26 | | column | 44.97,44.92,45.02,45.05,45.12,45.3,45.33,45.07,45.09,45.0,44.87 | | signboard | 36.13,36.15,36.17,36.19,36.18,36.23,36.25,36.3,36.34,36.37,36.37 | | chest of drawers | 37.3,37.71,37.56,37.47,37.65,37.57,37.46,37.41,37.54,37.42,37.06 | | counter | 26.0,25.89,25.58,25.46,25.24,25.0,24.96,24.77,24.69,24.57,24.53 | | sand | 31.01,30.92,31.0,30.86,30.78,30.79,30.61,30.56,30.39,30.19,29.73 | | sink | 68.68,68.71,68.72,68.7,68.73,68.75,68.63,68.66,68.63,68.54,68.22 | | skyscraper | 64.24,64.05,64.12,64.01,64.1,64.04,63.6,63.56,63.44,63.44,63.15 | | fireplace | 70.72,70.58,70.6,70.72,70.63,70.56,70.53,70.55,70.54,70.44,70.54 | | refrigerator | 71.2,71.25,71.3,71.31,71.31,71.16,71.19,71.15,71.09,71.05,71.38 | | grandstand | 38.09,38.13,37.96,38.07,37.98,37.91,38.04,37.92,38.04,37.84,37.88 | | path | 16.05,16.18,16.21,16.37,16.5,16.55,16.69,16.68,16.87,17.04,16.9 | | stairs | 30.13,30.09,30.1,30.12,30.1,30.11,30.1,30.12,30.08,30.07,30.13 | | runway | 60.67,60.77,60.94,61.03,61.08,61.2,61.31,61.44,61.53,61.62,61.69 | | case | 44.78,44.7,44.6,44.51,44.5,44.45,44.36,44.3,44.33,44.28,44.16 | | pool table | 91.73,91.72,91.73,91.71,91.72,91.72,91.69,91.68,91.66,91.65,91.78 | | pillow | 55.76,55.89,55.91,55.86,55.87,55.83,55.89,55.85,55.79,55.71,55.98 | | screen door | 68.94,68.9,69.42,68.93,69.38,69.75,69.67,69.69,69.65,69.51,70.83 | | stairway | 32.0,32.07,32.03,31.91,31.88,31.85,31.81,31.78,31.62,31.6,31.61 | | river | 12.26,12.25,12.24,12.24,12.21,12.2,12.19,12.18,12.16,12.16,12.15 | | bridge | 63.74,63.61,63.59,63.58,63.63,63.44,63.42,63.49,63.48,63.31,63.16 | | bookcase | 40.43,40.55,40.69,40.64,40.58,40.73,40.74,40.74,40.56,40.41,40.46 | | blind | 41.08,41.11,40.97,41.08,41.08,41.07,41.1,41.14,41.02,40.83,40.82 | | coffee table | 58.07,58.12,58.12,58.32,58.43,58.4,58.49,58.43,58.48,58.53,58.3 | | toilet | 86.21,86.28,86.24,86.3,86.26,86.26,86.33,86.22,86.26,86.23,86.3 | | flower | 33.73,33.73,33.69,33.6,33.59,33.62,33.61,33.62,33.59,33.56,33.6 | | book | 45.95,45.98,46.1,46.07,46.19,46.24,46.31,46.35,46.46,46.51,46.13 | | hill | 4.19,4.2,4.14,4.11,4.16,4.09,4.07,4.05,4.02,4.06,4.12 | | bench | 37.06,37.1,37.0,37.06,36.98,37.02,36.99,36.94,36.93,36.95,36.97 | | countertop | 56.95,56.9,56.75,57.14,56.89,56.82,56.89,56.7,56.67,56.68,56.53 | | stove | 72.57,72.6,72.65,72.75,72.66,72.77,72.83,72.79,72.77,72.72,72.45 | | palm | 50.69,50.73,50.68,50.73,50.75,50.73,50.71,50.72,50.74,50.75,50.68 | | kitchen island | 47.33,47.34,47.35,47.27,47.21,47.25,47.25,47.26,47.19,47.22,47.15 | | computer | 55.51,55.63,55.65,55.68,55.55,55.57,55.59,55.67,55.7,55.72,55.6 | | swivel chair | 44.77,44.92,44.8,44.88,44.85,44.81,44.9,44.83,44.78,44.78,44.88 | | boat | 46.03,46.24,46.11,46.11,46.1,46.02,46.12,46.14,46.1,46.22,46.17 | | bar | 23.82,23.81,23.8,23.83,23.91,23.85,23.85,23.87,23.85,23.87,23.97 | | arcade machine | 24.39,24.43,24.66,24.42,24.3,24.25,24.54,24.56,24.66,24.36,24.14 | | hovel | 37.05,37.1,37.06,37.09,37.05,36.96,37.12,37.12,36.9,36.9,36.75 | | bus | 78.92,79.02,79.0,78.93,78.9,78.92,78.87,78.87,78.77,78.71,78.72 | | towel | 56.89,56.9,56.91,56.89,56.97,56.96,57.01,56.99,57.01,57.09,57.04 | | light | 54.81,54.82,54.74,54.7,54.62,54.61,54.62,54.54,54.58,54.45,54.38 | | truck | 33.02,33.21,33.24,33.27,33.28,33.17,33.25,33.34,33.19,33.28,33.29 | | tower | 30.93,31.06,31.13,31.31,31.27,31.43,31.21,31.29,31.41,31.43,31.72 | | chandelier | 68.06,68.05,68.07,68.1,68.21,68.21,68.22,68.24,68.31,68.28,68.36 | | awning | 24.06,23.77,23.84,24.03,23.86,23.87,23.99,23.79,23.84,23.99,23.89 | | streetlight | 26.4,26.33,26.43,26.37,26.41,26.42,26.4,26.42,26.4,26.45,26.46 | | booth | 42.46,42.44,42.8,42.74,42.92,43.16,43.45,43.42,43.31,43.6,43.58 | | television receiver | 68.14,68.18,68.14,68.14,68.08,68.18,68.2,68.25,68.26,68.26,68.17 | | airplane | 50.48,50.52,50.55,50.59,50.48,50.57,50.54,50.63,50.73,50.7,50.24 | | dirt track | 3.68,3.64,3.65,3.63,3.7,3.62,3.66,3.67,3.64,3.6,3.61 | | apparel | 29.01,29.17,29.15,29.14,29.17,29.25,29.29,29.4,29.44,29.49,29.34 | | pole | 24.04,23.98,23.97,23.87,23.86,23.85,23.79,23.78,23.72,23.73,23.64 | | land | 0.69,0.7,0.68,0.72,0.67,0.66,0.68,0.68,0.68,0.68,0.71 | | bannister | 9.05,9.15,9.02,9.08,9.08,9.1,9.14,9.12,9.22,9.19,9.34 | | escalator | 21.69,21.69,21.64,21.63,21.57,21.59,21.53,21.51,21.47,21.4,21.41 | | ottoman | 45.15,45.28,45.26,44.92,45.35,45.28,45.01,45.06,44.85,44.77,44.93 | | bottle | 12.23,12.21,12.27,12.34,12.29,12.34,12.35,12.39,12.39,12.34,12.59 | | buffet | 34.21,34.22,34.23,34.23,34.24,34.28,34.22,34.25,34.3,34.25,34.29 | | poster | 25.59,25.81,25.81,25.92,25.98,26.11,26.04,26.12,26.12,26.24,26.18 | | stage | 10.25,10.22,10.25,10.19,10.17,10.11,10.18,10.12,10.06,10.13,9.85 | | van | 42.25,42.31,42.13,42.26,42.03,41.91,42.16,42.01,41.7,41.72,41.96 | | ship | 70.16,70.43,70.52,70.57,70.91,70.93,71.18,71.21,71.29,71.33,71.44 | | fountain | 0.45,0.48,0.5,0.5,0.52,0.52,0.53,0.52,0.54,0.55,0.55 | | conveyer belt | 60.48,60.77,60.66,60.78,60.65,60.83,60.6,60.38,60.46,60.59,60.65 | | canopy | 16.09,16.22,16.25,16.3,16.31,16.3,16.41,16.4,16.44,16.47,16.48 | | washer | 64.59,64.64,64.52,64.55,64.57,64.44,64.36,64.41,64.35,64.32,64.24 | | plaything | 23.67,23.69,23.76,23.67,23.71,23.72,23.69,23.65,23.64,23.76,23.72 | | swimming pool | 27.94,27.94,28.0,27.99,27.99,28.01,28.03,28.04,28.05,28.06,28.07 | | stool | 42.45,42.49,42.48,42.6,42.59,42.63,42.72,42.59,42.65,42.66,42.59 | | barrel | 42.02,42.18,41.56,41.25,40.98,40.74,40.39,40.21,40.09,39.76,39.46 | | basket | 21.49,21.36,21.24,21.28,21.14,21.03,21.0,20.91,20.85,20.71,20.72 | | waterfall | 53.86,53.53,53.56,53.65,53.17,52.95,52.67,53.11,52.8,52.65,52.61 | | tent | 92.19,92.2,91.93,91.98,91.9,91.74,91.71,91.53,91.61,91.52,91.51 | | bag | 9.14,9.09,8.98,9.04,9.11,9.01,9.0,9.0,9.06,9.02,8.91 | | minibike | 50.99,50.77,50.92,50.8,50.78,51.01,50.75,50.41,50.51,50.32,50.53 | | cradle | 75.71,75.71,75.76,75.74,75.73,75.79,75.8,75.8,75.88,75.86,75.78 | | oven | 23.3,23.3,23.29,23.36,23.19,23.2,23.11,22.64,22.27,22.19,22.26 | | ball | 46.54,46.73,46.77,46.72,46.88,46.97,47.06,47.05,47.1,47.16,47.25 | | food | 49.17,49.05,48.86,48.82,48.53,48.45,48.25,48.1,48.06,47.86,47.8 | | step | 5.59,5.49,5.54,5.4,5.43,5.37,5.34,5.26,5.18,5.1,5.07 | | tank | 47.25,47.33,47.31,47.31,47.31,47.31,47.25,47.28,47.25,47.23,47.22 | | trade name | 21.0,20.94,21.01,21.03,20.88,20.94,21.07,21.02,21.06,21.05,21.13 | | microwave | 38.92,38.89,38.68,38.59,38.53,38.46,38.42,38.38,38.32,38.2,38.39 | | pot | 37.32,37.29,37.11,37.23,37.1,37.0,37.06,37.02,36.94,36.97,36.87 | | animal | 50.9,50.9,50.88,50.89,50.94,50.84,50.91,50.8,50.76,50.67,50.55 | | bicycle | 44.97,45.05,45.1,45.02,44.86,45.02,45.01,45.09,44.98,45.0,45.04 | | lake | 60.34,60.22,60.37,60.29,60.28,60.19,60.11,60.04,60.05,59.78,60.05 | | dishwasher | 72.31,72.5,72.2,72.42,72.2,72.24,72.06,71.94,72.19,71.92,72.12 | | screen | 57.59,57.44,57.49,57.43,57.14,57.22,57.0,56.88,56.92,56.96,56.72 | | blanket | 6.45,6.32,6.33,6.39,6.41,6.43,6.39,6.43,6.49,6.49,6.48 | | sculpture | 41.9,41.59,41.6,41.26,41.28,41.02,40.87,40.71,40.59,40.29,40.04 | | hood | 61.19,61.08,61.05,60.99,61.28,61.18,61.26,61.19,61.16,61.2,60.96 | | sconce | 42.07,41.99,41.97,42.17,41.96,42.07,42.08,42.03,42.11,42.06,42.11 | | vase | 32.72,32.86,32.85,32.84,32.88,32.89,32.94,32.94,33.01,33.01,33.05 | | traffic light | 27.72,27.41,27.51,27.54,27.29,27.2,27.1,27.19,26.91,26.81,26.92 | | tray | 5.75,5.84,5.95,6.08,6.12,6.18,6.34,6.33,6.35,6.4,6.44 | | ashcan | 42.81,42.97,43.0,43.24,43.23,43.22,43.43,43.35,43.46,43.56,43.53 | | fan | 57.69,57.74,57.86,57.65,57.63,57.61,57.61,57.6,57.6,57.45,57.51 | | pier | 19.72,19.39,19.49,19.07,19.22,19.18,19.17,18.9,18.83,18.7,18.76 | | crt screen | 5.94,5.97,6.18,6.23,6.32,6.56,6.5,6.83,6.89,7.02,7.3 | | plate | 41.41,41.5,41.55,41.7,41.78,41.77,41.76,41.73,41.72,41.76,42.11 | | monitor | 62.24,62.41,62.49,62.69,62.6,62.88,62.69,62.97,63.31,63.21,63.4 | | bulletin board | 34.64,34.87,35.3,35.5,35.47,35.5,35.98,36.03,36.08,36.18,36.68 | | shower | 0.81,0.78,0.82,0.87,0.84,0.89,0.83,0.84,0.85,0.85,0.85 | | radiator | 41.46,41.44,41.3,41.36,41.32,41.33,41.32,41.31,41.29,41.15,40.76 | | glass | 9.9,9.85,9.83,9.78,9.72,9.68,9.62,9.57,9.56,9.56,9.52 | | clock | 17.94,18.12,17.66,18.11,17.73,17.67,17.67,17.62,17.66,17.56,17.52 | | flag | 41.37,41.43,41.41,41.6,41.48,41.4,41.27,41.42,41.45,41.42,41.3 | +---------------------+-------------------------------------------------------------------+ 2023-03-04 03:08:43,051 - mmseg - INFO - Summary: 2023-03-04 03:08:43,052 - mmseg - INFO - +------------------------------------------------------------------+ | mIoU 0,10,20,30,40,50,60,70,80,90,99 | +------------------------------------------------------------------+ | 45.18,45.19,45.19,45.2,45.19,45.19,45.19,45.17,45.17,45.14,45.13 | +------------------------------------------------------------------+ 2023-03-04 03:08:43,052 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 03:08:43,052 - mmseg - INFO - Iter(val) [250] mIoU: [0.4518, 0.4519, 0.4519, 0.452, 0.4519, 0.4519, 0.4519, 0.4517, 0.4517, 0.4514, 0.4513], copy_paste: 45.18,45.19,45.19,45.2,45.19,45.19,45.19,45.17,45.17,45.14,45.13 2023-03-04 03:08:43,058 - mmseg - INFO - Swap parameters (before train) before iter [80001] 2023-03-04 03:08:55,109 - mmseg - INFO - Iter [80050/160000] lr: 9.375e-06, eta: 6:17:06, time: 13.321, data_time: 13.087, memory: 67409, decode.loss_ce: 0.1947, decode.acc_seg: 92.2046, loss: 0.1947 2023-03-04 03:09:07,112 - mmseg - INFO - Iter [80100/160000] lr: 9.375e-06, eta: 6:16:50, time: 0.240, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2000, decode.acc_seg: 92.1469, loss: 0.2000 2023-03-04 03:09:21,411 - mmseg - INFO - Iter [80150/160000] lr: 9.375e-06, eta: 6:16:36, time: 0.286, data_time: 0.054, memory: 67409, decode.loss_ce: 0.1972, decode.acc_seg: 92.1315, loss: 0.1972 2023-03-04 03:09:33,246 - mmseg - INFO - Iter [80200/160000] lr: 9.375e-06, eta: 6:16:19, time: 0.236, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1986, decode.acc_seg: 92.0660, loss: 0.1986 2023-03-04 03:09:45,028 - mmseg - INFO - Iter [80250/160000] lr: 9.375e-06, eta: 6:16:03, time: 0.236, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2018, decode.acc_seg: 91.9529, loss: 0.2018 2023-03-04 03:09:56,712 - mmseg - INFO - Iter [80300/160000] lr: 9.375e-06, eta: 6:15:46, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1970, decode.acc_seg: 92.0204, loss: 0.1970 2023-03-04 03:10:08,347 - mmseg - INFO - Iter [80350/160000] lr: 9.375e-06, eta: 6:15:29, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2034, decode.acc_seg: 91.7680, loss: 0.2034 2023-03-04 03:10:20,017 - mmseg - INFO - Iter [80400/160000] lr: 9.375e-06, eta: 6:15:13, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1996, decode.acc_seg: 92.0184, loss: 0.1996 2023-03-04 03:10:31,534 - mmseg - INFO - Iter [80450/160000] lr: 9.375e-06, eta: 6:14:56, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1969, decode.acc_seg: 92.1841, loss: 0.1969 2023-03-04 03:10:43,147 - mmseg - INFO - Iter [80500/160000] lr: 9.375e-06, eta: 6:14:39, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1983, decode.acc_seg: 92.0013, loss: 0.1983 2023-03-04 03:10:54,725 - mmseg - INFO - Iter [80550/160000] lr: 9.375e-06, eta: 6:14:23, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1997, decode.acc_seg: 91.9487, loss: 0.1997 2023-03-04 03:11:06,168 - mmseg - INFO - Iter [80600/160000] lr: 9.375e-06, eta: 6:14:06, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1996, decode.acc_seg: 91.8039, loss: 0.1996 2023-03-04 03:11:17,856 - mmseg - INFO - Iter [80650/160000] lr: 9.375e-06, eta: 6:13:49, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1957, decode.acc_seg: 92.1942, loss: 0.1957 2023-03-04 03:11:29,361 - mmseg - INFO - Iter [80700/160000] lr: 9.375e-06, eta: 6:13:33, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1992, decode.acc_seg: 91.9460, loss: 0.1992 2023-03-04 03:11:41,025 - mmseg - INFO - Iter [80750/160000] lr: 9.375e-06, eta: 6:13:16, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2006, decode.acc_seg: 91.8992, loss: 0.2006 2023-03-04 03:11:55,078 - mmseg - INFO - Iter [80800/160000] lr: 9.375e-06, eta: 6:13:02, time: 0.281, data_time: 0.052, memory: 67409, decode.loss_ce: 0.1942, decode.acc_seg: 92.1614, loss: 0.1942 2023-03-04 03:12:06,988 - mmseg - INFO - Iter [80850/160000] lr: 9.375e-06, eta: 6:12:46, time: 0.238, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2040, decode.acc_seg: 91.6719, loss: 0.2040 2023-03-04 03:12:18,779 - mmseg - INFO - Iter [80900/160000] lr: 9.375e-06, eta: 6:12:29, time: 0.236, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1984, decode.acc_seg: 92.0204, loss: 0.1984 2023-03-04 03:12:30,208 - mmseg - INFO - Iter [80950/160000] lr: 9.375e-06, eta: 6:12:13, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1931, decode.acc_seg: 91.9911, loss: 0.1931 2023-03-04 03:12:41,838 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 03:12:41,838 - mmseg - INFO - Iter [81000/160000] lr: 9.375e-06, eta: 6:11:56, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2092, decode.acc_seg: 91.7606, loss: 0.2092 2023-03-04 03:12:53,475 - mmseg - INFO - Iter [81050/160000] lr: 9.375e-06, eta: 6:11:39, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1993, decode.acc_seg: 91.9325, loss: 0.1993 2023-03-04 03:13:04,988 - mmseg - INFO - Iter [81100/160000] lr: 9.375e-06, eta: 6:11:23, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1950, decode.acc_seg: 92.1194, loss: 0.1950 2023-03-04 03:13:16,524 - mmseg - INFO - Iter [81150/160000] lr: 9.375e-06, eta: 6:11:06, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2061, decode.acc_seg: 91.7087, loss: 0.2061 2023-03-04 03:13:28,026 - mmseg - INFO - Iter [81200/160000] lr: 9.375e-06, eta: 6:10:49, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1992, decode.acc_seg: 92.0800, loss: 0.1992 2023-03-04 03:13:39,690 - mmseg - INFO - Iter [81250/160000] lr: 9.375e-06, eta: 6:10:33, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1986, decode.acc_seg: 92.1383, loss: 0.1986 2023-03-04 03:13:51,152 - mmseg - INFO - Iter [81300/160000] lr: 9.375e-06, eta: 6:10:16, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1962, decode.acc_seg: 92.0835, loss: 0.1962 2023-03-04 03:14:02,617 - mmseg - INFO - Iter [81350/160000] lr: 9.375e-06, eta: 6:10:00, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1935, decode.acc_seg: 92.2151, loss: 0.1935 2023-03-04 03:14:16,677 - mmseg - INFO - Iter [81400/160000] lr: 9.375e-06, eta: 6:09:45, time: 0.281, data_time: 0.054, memory: 67409, decode.loss_ce: 0.2003, decode.acc_seg: 91.8944, loss: 0.2003 2023-03-04 03:14:28,219 - mmseg - INFO - Iter [81450/160000] lr: 9.375e-06, eta: 6:09:29, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1964, decode.acc_seg: 92.0304, loss: 0.1964 2023-03-04 03:14:40,029 - mmseg - INFO - Iter [81500/160000] lr: 9.375e-06, eta: 6:09:13, time: 0.236, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1974, decode.acc_seg: 92.1545, loss: 0.1974 2023-03-04 03:14:51,519 - mmseg - INFO - Iter [81550/160000] lr: 9.375e-06, eta: 6:08:56, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2000, decode.acc_seg: 91.8761, loss: 0.2000 2023-03-04 03:15:03,232 - mmseg - INFO - Iter [81600/160000] lr: 9.375e-06, eta: 6:08:39, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2010, decode.acc_seg: 91.7851, loss: 0.2010 2023-03-04 03:15:14,807 - mmseg - INFO - Iter [81650/160000] lr: 9.375e-06, eta: 6:08:23, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1990, decode.acc_seg: 92.0516, loss: 0.1990 2023-03-04 03:15:26,288 - mmseg - INFO - Iter [81700/160000] lr: 9.375e-06, eta: 6:08:06, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2118, decode.acc_seg: 91.8335, loss: 0.2118 2023-03-04 03:15:37,758 - mmseg - INFO - Iter [81750/160000] lr: 9.375e-06, eta: 6:07:50, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2010, decode.acc_seg: 91.9404, loss: 0.2010 2023-03-04 03:15:49,379 - mmseg - INFO - Iter [81800/160000] lr: 9.375e-06, eta: 6:07:33, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2021, decode.acc_seg: 91.8083, loss: 0.2021 2023-03-04 03:16:01,080 - mmseg - INFO - Iter [81850/160000] lr: 9.375e-06, eta: 6:07:17, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2006, decode.acc_seg: 91.9811, loss: 0.2006 2023-03-04 03:16:12,582 - mmseg - INFO - Iter [81900/160000] lr: 9.375e-06, eta: 6:07:00, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2047, decode.acc_seg: 91.9354, loss: 0.2047 2023-03-04 03:16:24,571 - mmseg - INFO - Iter [81950/160000] lr: 9.375e-06, eta: 6:06:44, time: 0.240, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1987, decode.acc_seg: 92.0831, loss: 0.1987 2023-03-04 03:16:36,174 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 03:16:36,174 - mmseg - INFO - Iter [82000/160000] lr: 9.375e-06, eta: 6:06:28, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2022, decode.acc_seg: 92.0525, loss: 0.2022 2023-03-04 03:16:50,264 - mmseg - INFO - Iter [82050/160000] lr: 9.375e-06, eta: 6:06:14, time: 0.282, data_time: 0.055, memory: 67409, decode.loss_ce: 0.2028, decode.acc_seg: 91.8410, loss: 0.2028 2023-03-04 03:17:01,880 - mmseg - INFO - Iter [82100/160000] lr: 9.375e-06, eta: 6:05:57, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2068, decode.acc_seg: 91.8383, loss: 0.2068 2023-03-04 03:17:13,373 - mmseg - INFO - Iter [82150/160000] lr: 9.375e-06, eta: 6:05:41, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1978, decode.acc_seg: 91.9235, loss: 0.1978 2023-03-04 03:17:24,960 - mmseg - INFO - Iter [82200/160000] lr: 9.375e-06, eta: 6:05:24, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1943, decode.acc_seg: 92.1137, loss: 0.1943 2023-03-04 03:17:36,635 - mmseg - INFO - Iter [82250/160000] lr: 9.375e-06, eta: 6:05:08, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2034, decode.acc_seg: 91.9766, loss: 0.2034 2023-03-04 03:17:48,205 - mmseg - INFO - Iter [82300/160000] lr: 9.375e-06, eta: 6:04:51, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2059, decode.acc_seg: 91.9157, loss: 0.2059 2023-03-04 03:17:59,897 - mmseg - INFO - Iter [82350/160000] lr: 9.375e-06, eta: 6:04:35, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1974, decode.acc_seg: 92.1800, loss: 0.1974 2023-03-04 03:18:11,433 - mmseg - INFO - Iter [82400/160000] lr: 9.375e-06, eta: 6:04:18, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1968, decode.acc_seg: 92.0982, loss: 0.1968 2023-03-04 03:18:22,962 - mmseg - INFO - Iter [82450/160000] lr: 9.375e-06, eta: 6:04:02, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2118, decode.acc_seg: 91.5862, loss: 0.2118 2023-03-04 03:18:34,541 - mmseg - INFO - Iter [82500/160000] lr: 9.375e-06, eta: 6:03:45, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2058, decode.acc_seg: 91.7005, loss: 0.2058 2023-03-04 03:18:46,162 - mmseg - INFO - Iter [82550/160000] lr: 9.375e-06, eta: 6:03:29, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1985, decode.acc_seg: 91.9857, loss: 0.1985 2023-03-04 03:18:57,734 - mmseg - INFO - Iter [82600/160000] lr: 9.375e-06, eta: 6:03:13, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2001, decode.acc_seg: 92.1062, loss: 0.2001 2023-03-04 03:19:09,284 - mmseg - INFO - Iter [82650/160000] lr: 9.375e-06, eta: 6:02:56, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1994, decode.acc_seg: 92.0289, loss: 0.1994 2023-03-04 03:19:23,269 - mmseg - INFO - Iter [82700/160000] lr: 9.375e-06, eta: 6:02:42, time: 0.280, data_time: 0.054, memory: 67409, decode.loss_ce: 0.1995, decode.acc_seg: 92.1053, loss: 0.1995 2023-03-04 03:19:34,946 - mmseg - INFO - Iter [82750/160000] lr: 9.375e-06, eta: 6:02:26, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2006, decode.acc_seg: 91.8953, loss: 0.2006 2023-03-04 03:19:46,752 - mmseg - INFO - Iter [82800/160000] lr: 9.375e-06, eta: 6:02:10, time: 0.236, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2033, decode.acc_seg: 91.8373, loss: 0.2033 2023-03-04 03:19:58,579 - mmseg - INFO - Iter [82850/160000] lr: 9.375e-06, eta: 6:01:53, time: 0.237, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1951, decode.acc_seg: 92.1758, loss: 0.1951 2023-03-04 03:20:10,077 - mmseg - INFO - Iter [82900/160000] lr: 9.375e-06, eta: 6:01:37, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1994, decode.acc_seg: 91.9744, loss: 0.1994 2023-03-04 03:20:21,509 - mmseg - INFO - Iter [82950/160000] lr: 9.375e-06, eta: 6:01:20, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2073, decode.acc_seg: 91.5267, loss: 0.2073 2023-03-04 03:20:33,122 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 03:20:33,122 - mmseg - INFO - Iter [83000/160000] lr: 9.375e-06, eta: 6:01:04, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2062, decode.acc_seg: 91.7959, loss: 0.2062 2023-03-04 03:20:44,750 - mmseg - INFO - Iter [83050/160000] lr: 9.375e-06, eta: 6:00:48, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1985, decode.acc_seg: 91.9377, loss: 0.1985 2023-03-04 03:20:56,370 - mmseg - INFO - Iter [83100/160000] lr: 9.375e-06, eta: 6:00:31, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1948, decode.acc_seg: 92.3055, loss: 0.1948 2023-03-04 03:21:07,830 - mmseg - INFO - Iter [83150/160000] lr: 9.375e-06, eta: 6:00:15, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2035, decode.acc_seg: 91.9776, loss: 0.2035 2023-03-04 03:21:19,556 - mmseg - INFO - Iter [83200/160000] lr: 9.375e-06, eta: 5:59:59, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1999, decode.acc_seg: 92.0447, loss: 0.1999 2023-03-04 03:21:31,068 - mmseg - INFO - Iter [83250/160000] lr: 9.375e-06, eta: 5:59:42, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2031, decode.acc_seg: 91.8971, loss: 0.2031 2023-03-04 03:21:45,279 - mmseg - INFO - Iter [83300/160000] lr: 9.375e-06, eta: 5:59:28, time: 0.284, data_time: 0.054, memory: 67409, decode.loss_ce: 0.2023, decode.acc_seg: 91.8949, loss: 0.2023 2023-03-04 03:21:56,926 - mmseg - INFO - Iter [83350/160000] lr: 9.375e-06, eta: 5:59:12, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1953, decode.acc_seg: 91.9692, loss: 0.1953 2023-03-04 03:22:08,569 - mmseg - INFO - Iter [83400/160000] lr: 9.375e-06, eta: 5:58:56, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1985, decode.acc_seg: 92.0555, loss: 0.1985 2023-03-04 03:22:20,058 - mmseg - INFO - Iter [83450/160000] lr: 9.375e-06, eta: 5:58:39, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2072, decode.acc_seg: 91.8203, loss: 0.2072 2023-03-04 03:22:31,577 - mmseg - INFO - Iter [83500/160000] lr: 9.375e-06, eta: 5:58:23, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1997, decode.acc_seg: 92.0159, loss: 0.1997 2023-03-04 03:22:43,599 - mmseg - INFO - Iter [83550/160000] lr: 9.375e-06, eta: 5:58:07, time: 0.240, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2026, decode.acc_seg: 91.9696, loss: 0.2026 2023-03-04 03:22:55,212 - mmseg - INFO - Iter [83600/160000] lr: 9.375e-06, eta: 5:57:51, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1973, decode.acc_seg: 92.0192, loss: 0.1973 2023-03-04 03:23:06,798 - mmseg - INFO - Iter [83650/160000] lr: 9.375e-06, eta: 5:57:35, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1984, decode.acc_seg: 92.0602, loss: 0.1984 2023-03-04 03:23:18,296 - mmseg - INFO - Iter [83700/160000] lr: 9.375e-06, eta: 5:57:18, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2052, decode.acc_seg: 91.8692, loss: 0.2052 2023-03-04 03:23:29,902 - mmseg - INFO - Iter [83750/160000] lr: 9.375e-06, eta: 5:57:02, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1988, decode.acc_seg: 91.9964, loss: 0.1988 2023-03-04 03:23:41,468 - mmseg - INFO - Iter [83800/160000] lr: 9.375e-06, eta: 5:56:46, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1970, decode.acc_seg: 91.9660, loss: 0.1970 2023-03-04 03:23:53,043 - mmseg - INFO - Iter [83850/160000] lr: 9.375e-06, eta: 5:56:29, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1959, decode.acc_seg: 92.0270, loss: 0.1959 2023-03-04 03:24:04,792 - mmseg - INFO - Iter [83900/160000] lr: 9.375e-06, eta: 5:56:13, time: 0.235, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2051, decode.acc_seg: 91.7545, loss: 0.2051 2023-03-04 03:24:18,737 - mmseg - INFO - Iter [83950/160000] lr: 9.375e-06, eta: 5:55:59, time: 0.279, data_time: 0.053, memory: 67409, decode.loss_ce: 0.1975, decode.acc_seg: 91.9541, loss: 0.1975 2023-03-04 03:24:30,487 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 03:24:30,487 - mmseg - INFO - Iter [84000/160000] lr: 9.375e-06, eta: 5:55:43, time: 0.235, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2049, decode.acc_seg: 91.7494, loss: 0.2049 2023-03-04 03:24:42,034 - mmseg - INFO - Iter [84050/160000] lr: 9.375e-06, eta: 5:55:27, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2026, decode.acc_seg: 91.9234, loss: 0.2026 2023-03-04 03:24:53,656 - mmseg - INFO - Iter [84100/160000] lr: 9.375e-06, eta: 5:55:10, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2003, decode.acc_seg: 91.9476, loss: 0.2003 2023-03-04 03:25:05,218 - mmseg - INFO - Iter [84150/160000] lr: 9.375e-06, eta: 5:54:54, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1991, decode.acc_seg: 91.9897, loss: 0.1991 2023-03-04 03:25:16,785 - mmseg - INFO - Iter [84200/160000] lr: 9.375e-06, eta: 5:54:38, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1941, decode.acc_seg: 92.0964, loss: 0.1941 2023-03-04 03:25:28,459 - mmseg - INFO - Iter [84250/160000] lr: 9.375e-06, eta: 5:54:22, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1928, decode.acc_seg: 92.0526, loss: 0.1928 2023-03-04 03:25:39,885 - mmseg - INFO - Iter [84300/160000] lr: 9.375e-06, eta: 5:54:05, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1987, decode.acc_seg: 92.0462, loss: 0.1987 2023-03-04 03:25:51,442 - mmseg - INFO - Iter [84350/160000] lr: 9.375e-06, eta: 5:53:49, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1954, decode.acc_seg: 92.2008, loss: 0.1954 2023-03-04 03:26:02,899 - mmseg - INFO - Iter [84400/160000] lr: 9.375e-06, eta: 5:53:33, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1977, decode.acc_seg: 92.0775, loss: 0.1977 2023-03-04 03:26:14,558 - mmseg - INFO - Iter [84450/160000] lr: 9.375e-06, eta: 5:53:17, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2015, decode.acc_seg: 91.9612, loss: 0.2015 2023-03-04 03:26:26,389 - mmseg - INFO - Iter [84500/160000] lr: 9.375e-06, eta: 5:53:01, time: 0.237, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2063, decode.acc_seg: 91.6857, loss: 0.2063 2023-03-04 03:26:37,997 - mmseg - INFO - Iter [84550/160000] lr: 9.375e-06, eta: 5:52:44, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1972, decode.acc_seg: 92.0641, loss: 0.1972 2023-03-04 03:26:52,084 - mmseg - INFO - Iter [84600/160000] lr: 9.375e-06, eta: 5:52:30, time: 0.282, data_time: 0.053, memory: 67409, decode.loss_ce: 0.1930, decode.acc_seg: 92.1425, loss: 0.1930 2023-03-04 03:27:03,735 - mmseg - INFO - Iter [84650/160000] lr: 9.375e-06, eta: 5:52:14, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1992, decode.acc_seg: 92.1039, loss: 0.1992 2023-03-04 03:27:15,428 - mmseg - INFO - Iter [84700/160000] lr: 9.375e-06, eta: 5:51:58, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2004, decode.acc_seg: 91.9889, loss: 0.2004 2023-03-04 03:27:27,232 - mmseg - INFO - Iter [84750/160000] lr: 9.375e-06, eta: 5:51:42, time: 0.236, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1994, decode.acc_seg: 91.9532, loss: 0.1994 2023-03-04 03:27:38,866 - mmseg - INFO - Iter [84800/160000] lr: 9.375e-06, eta: 5:51:26, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2040, decode.acc_seg: 91.8688, loss: 0.2040 2023-03-04 03:27:50,537 - mmseg - INFO - Iter [84850/160000] lr: 9.375e-06, eta: 5:51:10, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2099, decode.acc_seg: 91.8515, loss: 0.2099 2023-03-04 03:28:02,088 - mmseg - INFO - Iter [84900/160000] lr: 9.375e-06, eta: 5:50:54, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2035, decode.acc_seg: 91.6407, loss: 0.2035 2023-03-04 03:28:13,563 - mmseg - INFO - Iter [84950/160000] lr: 9.375e-06, eta: 5:50:37, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1972, decode.acc_seg: 92.1408, loss: 0.1972 2023-03-04 03:28:25,029 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 03:28:25,029 - mmseg - INFO - Iter [85000/160000] lr: 9.375e-06, eta: 5:50:21, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1972, decode.acc_seg: 92.2474, loss: 0.1972 2023-03-04 03:28:36,553 - mmseg - INFO - Iter [85050/160000] lr: 9.375e-06, eta: 5:50:05, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1949, decode.acc_seg: 92.0775, loss: 0.1949 2023-03-04 03:28:48,145 - mmseg - INFO - Iter [85100/160000] lr: 9.375e-06, eta: 5:49:49, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1959, decode.acc_seg: 91.9765, loss: 0.1959 2023-03-04 03:29:00,134 - mmseg - INFO - Iter 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0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1980, decode.acc_seg: 92.0665, loss: 0.1980 2023-03-04 03:32:57,148 - mmseg - INFO - Iter [86150/160000] lr: 9.375e-06, eta: 5:44:16, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1961, decode.acc_seg: 92.1220, loss: 0.1961 2023-03-04 03:33:08,605 - mmseg - INFO - Iter [86200/160000] lr: 9.375e-06, eta: 5:44:00, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2019, decode.acc_seg: 91.8639, loss: 0.2019 2023-03-04 03:33:20,278 - mmseg - INFO - Iter [86250/160000] lr: 9.375e-06, eta: 5:43:44, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1911, decode.acc_seg: 92.2763, loss: 0.1911 2023-03-04 03:33:32,060 - mmseg - INFO - Iter [86300/160000] lr: 9.375e-06, eta: 5:43:28, time: 0.236, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1925, decode.acc_seg: 92.2706, loss: 0.1925 2023-03-04 03:33:43,943 - mmseg - INFO - Iter [86350/160000] lr: 9.375e-06, eta: 5:43:12, time: 0.238, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1995, decode.acc_seg: 91.9308, loss: 0.1995 2023-03-04 03:33:55,651 - mmseg - INFO - Iter [86400/160000] lr: 9.375e-06, eta: 5:42:56, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1969, decode.acc_seg: 92.1569, loss: 0.1969 2023-03-04 03:34:09,600 - mmseg - INFO - Iter [86450/160000] lr: 9.375e-06, eta: 5:42:42, time: 0.279, data_time: 0.055, memory: 67409, decode.loss_ce: 0.2051, decode.acc_seg: 91.9450, loss: 0.2051 2023-03-04 03:34:21,213 - mmseg - INFO - Iter [86500/160000] lr: 9.375e-06, eta: 5:42:26, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2059, decode.acc_seg: 91.7346, loss: 0.2059 2023-03-04 03:34:32,695 - mmseg - INFO - Iter [86550/160000] lr: 9.375e-06, eta: 5:42:10, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2022, decode.acc_seg: 92.0163, loss: 0.2022 2023-03-04 03:34:44,259 - mmseg - INFO - Iter [86600/160000] lr: 9.375e-06, eta: 5:41:54, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1953, decode.acc_seg: 92.1179, loss: 0.1953 2023-03-04 03:34:56,042 - mmseg - INFO - Iter [86650/160000] lr: 9.375e-06, eta: 5:41:38, time: 0.235, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2002, decode.acc_seg: 91.9226, loss: 0.2002 2023-03-04 03:35:07,719 - mmseg - INFO - Iter [86700/160000] lr: 9.375e-06, eta: 5:41:22, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1979, decode.acc_seg: 91.9907, loss: 0.1979 2023-03-04 03:35:19,148 - mmseg - INFO - Iter [86750/160000] lr: 9.375e-06, eta: 5:41:06, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2058, decode.acc_seg: 91.8147, loss: 0.2058 2023-03-04 03:35:30,621 - mmseg - INFO - Iter [86800/160000] lr: 9.375e-06, eta: 5:40:50, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2008, decode.acc_seg: 91.9357, loss: 0.2008 2023-03-04 03:35:42,222 - mmseg - INFO - Iter [86850/160000] lr: 9.375e-06, eta: 5:40:34, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2024, decode.acc_seg: 91.9187, loss: 0.2024 2023-03-04 03:35:53,865 - mmseg - INFO - Iter [86900/160000] lr: 9.375e-06, eta: 5:40:18, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2018, decode.acc_seg: 91.8476, loss: 0.2018 2023-03-04 03:36:05,704 - mmseg - INFO - Iter [86950/160000] lr: 9.375e-06, eta: 5:40:02, time: 0.237, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1963, decode.acc_seg: 92.0771, loss: 0.1963 2023-03-04 03:36:17,363 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 03:36:17,363 - mmseg - INFO - Iter [87000/160000] lr: 9.375e-06, eta: 5:39:47, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2022, decode.acc_seg: 91.8831, loss: 0.2022 2023-03-04 03:36:28,887 - mmseg - INFO - Iter [87050/160000] lr: 9.375e-06, eta: 5:39:31, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2003, decode.acc_seg: 91.9763, loss: 0.2003 2023-03-04 03:36:42,922 - mmseg - INFO - Iter [87100/160000] lr: 9.375e-06, eta: 5:39:17, time: 0.281, data_time: 0.053, memory: 67409, decode.loss_ce: 0.1973, decode.acc_seg: 92.1589, loss: 0.1973 2023-03-04 03:36:54,493 - mmseg - INFO - Iter [87150/160000] lr: 9.375e-06, eta: 5:39:01, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1943, decode.acc_seg: 92.1218, loss: 0.1943 2023-03-04 03:37:05,966 - mmseg - INFO - Iter [87200/160000] lr: 9.375e-06, eta: 5:38:45, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2009, decode.acc_seg: 91.9486, loss: 0.2009 2023-03-04 03:37:17,699 - mmseg - INFO - Iter [87250/160000] lr: 9.375e-06, eta: 5:38:29, time: 0.235, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1988, decode.acc_seg: 92.0388, loss: 0.1988 2023-03-04 03:37:29,336 - mmseg - INFO - Iter [87300/160000] lr: 9.375e-06, eta: 5:38:13, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1940, decode.acc_seg: 92.2190, loss: 0.1940 2023-03-04 03:37:40,993 - mmseg - INFO - Iter [87350/160000] lr: 9.375e-06, eta: 5:37:57, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1979, decode.acc_seg: 91.9091, loss: 0.1979 2023-03-04 03:37:52,556 - mmseg - INFO - Iter [87400/160000] lr: 9.375e-06, eta: 5:37:41, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2003, decode.acc_seg: 92.0660, loss: 0.2003 2023-03-04 03:38:04,216 - mmseg - INFO - Iter [87450/160000] lr: 9.375e-06, eta: 5:37:25, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2069, decode.acc_seg: 91.5846, loss: 0.2069 2023-03-04 03:38:15,791 - mmseg - INFO - Iter [87500/160000] lr: 9.375e-06, eta: 5:37:09, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2111, decode.acc_seg: 91.4613, loss: 0.2111 2023-03-04 03:38:27,388 - mmseg - INFO - Iter [87550/160000] lr: 9.375e-06, eta: 5:36:53, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1989, decode.acc_seg: 91.9180, loss: 0.1989 2023-03-04 03:38:38,912 - mmseg - INFO - Iter [87600/160000] lr: 9.375e-06, eta: 5:36:38, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1912, decode.acc_seg: 92.3002, loss: 0.1912 2023-03-04 03:38:50,579 - mmseg - INFO - Iter [87650/160000] lr: 9.375e-06, eta: 5:36:22, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2151, decode.acc_seg: 91.4217, loss: 0.2151 2023-03-04 03:39:02,010 - mmseg - INFO - Iter [87700/160000] lr: 9.375e-06, eta: 5:36:06, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1914, decode.acc_seg: 92.1890, loss: 0.1914 2023-03-04 03:39:16,348 - mmseg - INFO - Iter [87750/160000] lr: 9.375e-06, eta: 5:35:52, time: 0.287, data_time: 0.055, memory: 67409, decode.loss_ce: 0.2022, decode.acc_seg: 91.9894, loss: 0.2022 2023-03-04 03:39:27,968 - mmseg - INFO - Iter [87800/160000] lr: 9.375e-06, eta: 5:35:36, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1950, decode.acc_seg: 92.2018, loss: 0.1950 2023-03-04 03:39:39,473 - mmseg - INFO - Iter [87850/160000] lr: 9.375e-06, eta: 5:35:20, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2001, decode.acc_seg: 92.0511, loss: 0.2001 2023-03-04 03:39:51,080 - mmseg - INFO - Iter [87900/160000] lr: 9.375e-06, eta: 5:35:04, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1953, decode.acc_seg: 92.1592, loss: 0.1953 2023-03-04 03:40:02,686 - mmseg - INFO - Iter [87950/160000] lr: 9.375e-06, eta: 5:34:49, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1968, decode.acc_seg: 92.1016, loss: 0.1968 2023-03-04 03:40:14,456 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 03:40:14,456 - mmseg - INFO - Iter [88000/160000] lr: 9.375e-06, eta: 5:34:33, time: 0.235, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2000, decode.acc_seg: 92.0345, loss: 0.2000 2023-03-04 03:40:25,984 - mmseg - INFO - Iter [88050/160000] lr: 9.375e-06, eta: 5:34:17, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2011, decode.acc_seg: 91.8716, loss: 0.2011 2023-03-04 03:40:37,518 - mmseg - INFO - Iter [88100/160000] lr: 9.375e-06, eta: 5:34:01, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2051, decode.acc_seg: 91.7676, loss: 0.2051 2023-03-04 03:40:49,009 - mmseg - INFO - Iter [88150/160000] lr: 9.375e-06, eta: 5:33:45, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2027, decode.acc_seg: 91.9185, loss: 0.2027 2023-03-04 03:41:00,488 - mmseg - INFO - Iter [88200/160000] lr: 9.375e-06, eta: 5:33:29, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1958, decode.acc_seg: 92.1058, loss: 0.1958 2023-03-04 03:41:12,077 - mmseg - INFO - Iter [88250/160000] lr: 9.375e-06, eta: 5:33:13, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1950, decode.acc_seg: 92.1981, loss: 0.1950 2023-03-04 03:41:23,627 - mmseg - INFO - Iter [88300/160000] lr: 9.375e-06, eta: 5:32:57, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1999, decode.acc_seg: 92.0613, loss: 0.1999 2023-03-04 03:41:37,800 - mmseg - INFO - Iter [88350/160000] lr: 9.375e-06, eta: 5:32:44, time: 0.283, data_time: 0.053, memory: 67409, decode.loss_ce: 0.1997, decode.acc_seg: 91.8530, loss: 0.1997 2023-03-04 03:41:49,311 - mmseg - INFO - Iter [88400/160000] lr: 9.375e-06, eta: 5:32:28, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1905, decode.acc_seg: 92.2181, loss: 0.1905 2023-03-04 03:42:01,132 - mmseg - INFO - Iter [88450/160000] lr: 9.375e-06, eta: 5:32:12, time: 0.236, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2038, decode.acc_seg: 91.9539, loss: 0.2038 2023-03-04 03:42:12,618 - mmseg - INFO - Iter [88500/160000] lr: 9.375e-06, eta: 5:31:56, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2031, decode.acc_seg: 91.8977, loss: 0.2031 2023-03-04 03:42:24,147 - mmseg - INFO - Iter [88550/160000] lr: 9.375e-06, eta: 5:31:40, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2036, decode.acc_seg: 91.9196, loss: 0.2036 2023-03-04 03:42:35,643 - mmseg - INFO - Iter [88600/160000] lr: 9.375e-06, eta: 5:31:24, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1979, decode.acc_seg: 92.0028, loss: 0.1979 2023-03-04 03:42:47,224 - mmseg - INFO - Iter [88650/160000] lr: 9.375e-06, eta: 5:31:09, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2013, decode.acc_seg: 91.8005, loss: 0.2013 2023-03-04 03:42:58,974 - mmseg - INFO - Iter [88700/160000] lr: 9.375e-06, eta: 5:30:53, time: 0.235, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1942, decode.acc_seg: 92.1178, loss: 0.1942 2023-03-04 03:43:10,486 - mmseg - INFO - Iter [88750/160000] lr: 9.375e-06, eta: 5:30:37, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1914, decode.acc_seg: 92.1767, loss: 0.1914 2023-03-04 03:43:21,964 - mmseg - INFO - Iter [88800/160000] lr: 9.375e-06, eta: 5:30:21, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2050, decode.acc_seg: 91.7949, loss: 0.2050 2023-03-04 03:43:33,689 - mmseg - INFO - Iter [88850/160000] lr: 9.375e-06, eta: 5:30:06, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1970, decode.acc_seg: 92.1059, loss: 0.1970 2023-03-04 03:43:45,131 - mmseg - INFO - Iter [88900/160000] lr: 9.375e-06, eta: 5:29:50, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1977, decode.acc_seg: 92.1734, loss: 0.1977 2023-03-04 03:43:56,619 - mmseg - INFO - Iter [88950/160000] lr: 9.375e-06, eta: 5:29:34, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2052, decode.acc_seg: 91.7975, loss: 0.2052 2023-03-04 03:44:10,714 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 03:44:10,715 - mmseg - INFO - Iter [89000/160000] lr: 9.375e-06, eta: 5:29:20, time: 0.282, data_time: 0.053, memory: 67409, decode.loss_ce: 0.1970, decode.acc_seg: 92.1663, loss: 0.1970 2023-03-04 03:44:22,257 - mmseg - INFO - Iter [89050/160000] lr: 9.375e-06, eta: 5:29:04, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2009, decode.acc_seg: 91.9098, loss: 0.2009 2023-03-04 03:44:33,765 - mmseg - INFO - Iter [89100/160000] lr: 9.375e-06, eta: 5:28:48, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1956, decode.acc_seg: 92.1351, loss: 0.1956 2023-03-04 03:44:45,337 - mmseg - INFO - Iter [89150/160000] lr: 9.375e-06, eta: 5:28:33, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1943, decode.acc_seg: 92.1509, loss: 0.1943 2023-03-04 03:44:56,859 - mmseg - INFO - Iter [89200/160000] lr: 9.375e-06, eta: 5:28:17, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1984, decode.acc_seg: 91.8889, loss: 0.1984 2023-03-04 03:45:08,562 - mmseg - INFO - Iter [89250/160000] lr: 9.375e-06, eta: 5:28:01, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1899, decode.acc_seg: 92.2455, loss: 0.1899 2023-03-04 03:45:20,232 - mmseg - INFO - Iter [89300/160000] lr: 9.375e-06, eta: 5:27:45, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1942, decode.acc_seg: 92.0531, loss: 0.1942 2023-03-04 03:45:31,690 - mmseg - INFO - Iter [89350/160000] lr: 9.375e-06, eta: 5:27:30, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1976, decode.acc_seg: 91.9723, loss: 0.1976 2023-03-04 03:45:43,152 - mmseg - INFO - Iter [89400/160000] lr: 9.375e-06, eta: 5:27:14, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1908, decode.acc_seg: 92.4044, loss: 0.1908 2023-03-04 03:45:54,612 - mmseg - INFO - Iter [89450/160000] lr: 9.375e-06, eta: 5:26:58, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2115, decode.acc_seg: 91.5716, loss: 0.2115 2023-03-04 03:46:06,218 - mmseg - INFO - Iter [89500/160000] lr: 9.375e-06, eta: 5:26:42, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2131, decode.acc_seg: 91.6424, loss: 0.2131 2023-03-04 03:46:17,893 - mmseg - INFO - Iter [89550/160000] lr: 9.375e-06, eta: 5:26:27, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1962, decode.acc_seg: 92.0562, loss: 0.1962 2023-03-04 03:46:29,512 - mmseg - INFO - Iter [89600/160000] lr: 9.375e-06, eta: 5:26:11, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2089, decode.acc_seg: 91.8714, loss: 0.2089 2023-03-04 03:46:43,604 - mmseg - INFO - Iter [89650/160000] lr: 9.375e-06, eta: 5:25:57, time: 0.282, data_time: 0.054, memory: 67409, decode.loss_ce: 0.2038, decode.acc_seg: 91.9907, loss: 0.2038 2023-03-04 03:46:55,207 - mmseg - INFO - Iter [89700/160000] lr: 9.375e-06, eta: 5:25:41, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2018, decode.acc_seg: 91.8753, loss: 0.2018 2023-03-04 03:47:06,698 - mmseg - INFO - Iter [89750/160000] lr: 9.375e-06, eta: 5:25:26, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2062, decode.acc_seg: 91.8296, loss: 0.2062 2023-03-04 03:47:18,129 - mmseg - INFO - Iter [89800/160000] lr: 9.375e-06, eta: 5:25:10, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2047, decode.acc_seg: 91.7488, loss: 0.2047 2023-03-04 03:47:29,635 - mmseg - INFO - Iter [89850/160000] lr: 9.375e-06, eta: 5:24:54, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1949, decode.acc_seg: 92.0679, loss: 0.1949 2023-03-04 03:47:41,121 - mmseg - INFO - Iter [89900/160000] lr: 9.375e-06, eta: 5:24:38, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2017, decode.acc_seg: 91.7921, loss: 0.2017 2023-03-04 03:47:52,868 - mmseg - INFO - Iter [89950/160000] lr: 9.375e-06, eta: 5:24:23, time: 0.235, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2052, decode.acc_seg: 91.8040, loss: 0.2052 2023-03-04 03:48:04,587 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 03:48:04,587 - mmseg - INFO - Iter [90000/160000] lr: 9.375e-06, eta: 5:24:07, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2072, decode.acc_seg: 91.6319, loss: 0.2072 2023-03-04 03:48:16,257 - mmseg - INFO - Iter [90050/160000] lr: 9.375e-06, eta: 5:23:52, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2013, decode.acc_seg: 92.0352, loss: 0.2013 2023-03-04 03:48:27,856 - mmseg - INFO - Iter [90100/160000] lr: 9.375e-06, eta: 5:23:36, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1978, decode.acc_seg: 92.1451, loss: 0.1978 2023-03-04 03:48:39,676 - mmseg - INFO - Iter [90150/160000] lr: 9.375e-06, eta: 5:23:20, time: 0.236, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1917, decode.acc_seg: 92.2851, loss: 0.1917 2023-03-04 03:48:51,167 - mmseg - INFO - Iter [90200/160000] lr: 9.375e-06, eta: 5:23:05, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2044, decode.acc_seg: 91.9296, loss: 0.2044 2023-03-04 03:49:05,161 - mmseg - INFO - Iter [90250/160000] lr: 9.375e-06, eta: 5:22:51, time: 0.280, data_time: 0.054, memory: 67409, decode.loss_ce: 0.1900, decode.acc_seg: 92.4553, loss: 0.1900 2023-03-04 03:49:16,738 - mmseg - INFO - Iter [90300/160000] lr: 9.375e-06, eta: 5:22:35, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1934, decode.acc_seg: 92.1557, loss: 0.1934 2023-03-04 03:49:28,213 - mmseg - INFO - Iter [90350/160000] lr: 9.375e-06, eta: 5:22:19, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2103, decode.acc_seg: 91.6735, loss: 0.2103 2023-03-04 03:49:39,763 - mmseg - INFO - Iter [90400/160000] lr: 9.375e-06, eta: 5:22:04, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1967, decode.acc_seg: 92.0552, loss: 0.1967 2023-03-04 03:49:51,436 - mmseg - INFO - Iter [90450/160000] lr: 9.375e-06, eta: 5:21:48, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1926, decode.acc_seg: 92.1752, loss: 0.1926 2023-03-04 03:50:03,021 - mmseg - INFO - Iter [90500/160000] lr: 9.375e-06, eta: 5:21:33, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2050, decode.acc_seg: 91.6169, loss: 0.2050 2023-03-04 03:50:14,474 - mmseg - INFO - Iter [90550/160000] lr: 9.375e-06, eta: 5:21:17, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1997, decode.acc_seg: 92.0272, loss: 0.1997 2023-03-04 03:50:26,049 - mmseg - INFO - Iter [90600/160000] lr: 9.375e-06, eta: 5:21:01, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2010, decode.acc_seg: 91.9474, loss: 0.2010 2023-03-04 03:50:37,715 - mmseg - INFO - Iter [90650/160000] lr: 9.375e-06, eta: 5:20:46, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1968, decode.acc_seg: 92.0153, loss: 0.1968 2023-03-04 03:50:49,210 - mmseg - INFO - Iter [90700/160000] lr: 9.375e-06, eta: 5:20:30, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1982, decode.acc_seg: 91.9768, loss: 0.1982 2023-03-04 03:51:00,768 - mmseg - INFO - Iter [90750/160000] lr: 9.375e-06, eta: 5:20:14, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1961, decode.acc_seg: 92.0920, loss: 0.1961 2023-03-04 03:51:12,380 - mmseg - INFO - Iter [90800/160000] lr: 9.375e-06, eta: 5:19:59, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1970, decode.acc_seg: 92.1105, loss: 0.1970 2023-03-04 03:51:23,906 - mmseg - INFO - Iter [90850/160000] lr: 9.375e-06, eta: 5:19:43, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1966, decode.acc_seg: 92.0154, loss: 0.1966 2023-03-04 03:51:37,975 - mmseg - INFO - Iter [90900/160000] lr: 9.375e-06, eta: 5:19:29, time: 0.281, data_time: 0.053, memory: 67409, decode.loss_ce: 0.2038, decode.acc_seg: 91.9245, loss: 0.2038 2023-03-04 03:51:49,517 - mmseg - INFO - Iter [90950/160000] lr: 9.375e-06, eta: 5:19:14, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2011, decode.acc_seg: 92.0202, loss: 0.2011 2023-03-04 03:52:01,183 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 03:52:01,184 - mmseg - INFO - Iter [91000/160000] lr: 9.375e-06, eta: 5:18:58, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2035, decode.acc_seg: 91.9111, loss: 0.2035 2023-03-04 03:52:12,767 - mmseg - INFO - Iter [91050/160000] lr: 9.375e-06, eta: 5:18:42, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2061, decode.acc_seg: 91.6100, loss: 0.2061 2023-03-04 03:52:24,232 - mmseg - INFO - Iter [91100/160000] lr: 9.375e-06, eta: 5:18:27, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1942, decode.acc_seg: 92.1400, loss: 0.1942 2023-03-04 03:52:35,682 - mmseg - INFO - Iter [91150/160000] lr: 9.375e-06, eta: 5:18:11, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1947, decode.acc_seg: 92.2724, loss: 0.1947 2023-03-04 03:52:47,333 - mmseg - INFO - Iter [91200/160000] lr: 9.375e-06, eta: 5:17:56, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1945, decode.acc_seg: 92.1960, loss: 0.1945 2023-03-04 03:52:58,942 - mmseg - INFO - Iter [91250/160000] lr: 9.375e-06, eta: 5:17:40, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2053, decode.acc_seg: 91.7906, loss: 0.2053 2023-03-04 03:53:10,609 - mmseg - INFO - Iter [91300/160000] lr: 9.375e-06, eta: 5:17:24, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1984, decode.acc_seg: 92.0292, loss: 0.1984 2023-03-04 03:53:22,158 - mmseg - INFO - Iter [91350/160000] lr: 9.375e-06, eta: 5:17:09, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2106, decode.acc_seg: 91.5348, loss: 0.2106 2023-03-04 03:53:33,790 - mmseg - INFO - Iter [91400/160000] lr: 9.375e-06, eta: 5:16:53, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1962, decode.acc_seg: 92.1355, loss: 0.1962 2023-03-04 03:53:45,495 - mmseg - INFO - Iter [91450/160000] lr: 9.375e-06, eta: 5:16:38, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1919, decode.acc_seg: 92.2592, loss: 0.1919 2023-03-04 03:53:59,718 - mmseg - INFO - Iter [91500/160000] lr: 9.375e-06, eta: 5:16:24, time: 0.284, data_time: 0.054, memory: 67409, decode.loss_ce: 0.1960, decode.acc_seg: 92.1190, loss: 0.1960 2023-03-04 03:54:11,268 - mmseg - INFO - Iter [91550/160000] lr: 9.375e-06, eta: 5:16:09, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2056, decode.acc_seg: 91.5764, loss: 0.2056 2023-03-04 03:54:22,719 - mmseg - INFO - Iter [91600/160000] lr: 9.375e-06, eta: 5:15:53, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1956, decode.acc_seg: 92.1096, loss: 0.1956 2023-03-04 03:54:34,403 - mmseg - INFO - Iter [91650/160000] lr: 9.375e-06, eta: 5:15:38, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1971, decode.acc_seg: 92.0746, loss: 0.1971 2023-03-04 03:54:45,899 - mmseg - INFO - Iter [91700/160000] lr: 9.375e-06, eta: 5:15:22, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2020, decode.acc_seg: 92.1255, loss: 0.2020 2023-03-04 03:54:57,459 - mmseg - INFO - Iter [91750/160000] lr: 9.375e-06, eta: 5:15:06, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2052, decode.acc_seg: 91.7949, loss: 0.2052 2023-03-04 03:55:09,133 - mmseg - INFO - Iter [91800/160000] lr: 9.375e-06, eta: 5:14:51, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2014, decode.acc_seg: 91.9984, loss: 0.2014 2023-03-04 03:55:20,691 - mmseg - INFO - Iter [91850/160000] lr: 9.375e-06, eta: 5:14:35, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2017, decode.acc_seg: 91.9256, loss: 0.2017 2023-03-04 03:55:32,384 - mmseg - INFO - Iter [91900/160000] lr: 9.375e-06, eta: 5:14:20, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1990, decode.acc_seg: 92.0145, loss: 0.1990 2023-03-04 03:55:44,148 - mmseg - INFO - Iter [91950/160000] lr: 9.375e-06, eta: 5:14:05, time: 0.235, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2040, decode.acc_seg: 91.9098, loss: 0.2040 2023-03-04 03:55:55,731 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 03:55:55,731 - mmseg - INFO - Iter [92000/160000] lr: 9.375e-06, eta: 5:13:49, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1928, decode.acc_seg: 92.3749, loss: 0.1928 2023-03-04 03:56:07,443 - mmseg - INFO - Iter [92050/160000] lr: 9.375e-06, eta: 5:13:34, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1928, decode.acc_seg: 92.2870, loss: 0.1928 2023-03-04 03:56:19,035 - mmseg - INFO - Iter [92100/160000] lr: 9.375e-06, eta: 5:13:18, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1922, decode.acc_seg: 92.2661, loss: 0.1922 2023-03-04 03:56:33,115 - mmseg - INFO - Iter 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[92900/160000] lr: 9.375e-06, eta: 5:09:14, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2010, decode.acc_seg: 92.1104, loss: 0.2010 2023-03-04 03:59:40,799 - mmseg - INFO - Iter [92950/160000] lr: 9.375e-06, eta: 5:08:59, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2024, decode.acc_seg: 91.9369, loss: 0.2024 2023-03-04 03:59:52,244 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 03:59:52,244 - mmseg - INFO - Iter [93000/160000] lr: 9.375e-06, eta: 5:08:43, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2048, decode.acc_seg: 91.8509, loss: 0.2048 2023-03-04 04:00:03,703 - mmseg - INFO - Iter [93050/160000] lr: 9.375e-06, eta: 5:08:28, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1980, decode.acc_seg: 92.0219, loss: 0.1980 2023-03-04 04:00:15,325 - mmseg - INFO - Iter [93100/160000] lr: 9.375e-06, eta: 5:08:12, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2033, decode.acc_seg: 91.8190, loss: 0.2033 2023-03-04 04:00:27,077 - mmseg - INFO - Iter [93150/160000] lr: 9.375e-06, eta: 5:07:57, time: 0.235, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2019, decode.acc_seg: 91.9747, loss: 0.2019 2023-03-04 04:00:38,634 - mmseg - INFO - Iter [93200/160000] lr: 9.375e-06, eta: 5:07:41, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1992, decode.acc_seg: 92.0362, loss: 0.1992 2023-03-04 04:00:50,093 - mmseg - INFO - Iter [93250/160000] lr: 9.375e-06, eta: 5:07:26, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1970, decode.acc_seg: 92.0127, loss: 0.1970 2023-03-04 04:01:01,742 - mmseg - INFO - Iter [93300/160000] lr: 9.375e-06, eta: 5:07:10, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1914, decode.acc_seg: 92.2593, loss: 0.1914 2023-03-04 04:01:13,330 - mmseg - INFO - Iter [93350/160000] lr: 9.375e-06, eta: 5:06:55, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2015, decode.acc_seg: 91.9857, loss: 0.2015 2023-03-04 04:01:27,349 - mmseg - INFO - Iter [93400/160000] lr: 9.375e-06, eta: 5:06:41, time: 0.280, data_time: 0.055, memory: 67409, decode.loss_ce: 0.2047, decode.acc_seg: 91.8133, loss: 0.2047 2023-03-04 04:01:39,093 - mmseg - INFO - Iter [93450/160000] lr: 9.375e-06, eta: 5:06:26, time: 0.235, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2069, decode.acc_seg: 91.9795, loss: 0.2069 2023-03-04 04:01:50,791 - mmseg - INFO - Iter [93500/160000] lr: 9.375e-06, eta: 5:06:11, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1972, decode.acc_seg: 91.9124, loss: 0.1972 2023-03-04 04:02:02,368 - mmseg - INFO - Iter [93550/160000] lr: 9.375e-06, eta: 5:05:55, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1960, decode.acc_seg: 92.2417, loss: 0.1960 2023-03-04 04:02:13,802 - mmseg - INFO - Iter [93600/160000] lr: 9.375e-06, eta: 5:05:40, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1983, decode.acc_seg: 92.0645, loss: 0.1983 2023-03-04 04:02:25,220 - mmseg - INFO - Iter [93650/160000] lr: 9.375e-06, eta: 5:05:24, time: 0.228, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1995, decode.acc_seg: 91.7988, loss: 0.1995 2023-03-04 04:02:36,718 - mmseg - INFO - Iter [93700/160000] lr: 9.375e-06, eta: 5:05:09, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1960, decode.acc_seg: 92.1951, loss: 0.1960 2023-03-04 04:02:48,264 - mmseg - INFO - Iter [93750/160000] lr: 9.375e-06, eta: 5:04:54, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1987, decode.acc_seg: 92.0059, loss: 0.1987 2023-03-04 04:02:59,722 - mmseg - INFO - Iter [93800/160000] lr: 9.375e-06, eta: 5:04:38, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2094, decode.acc_seg: 91.6465, loss: 0.2094 2023-03-04 04:03:11,271 - mmseg - INFO - Iter [93850/160000] lr: 9.375e-06, eta: 5:04:23, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2003, decode.acc_seg: 92.0341, loss: 0.2003 2023-03-04 04:03:22,711 - mmseg - INFO - Iter [93900/160000] lr: 9.375e-06, eta: 5:04:07, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2041, decode.acc_seg: 91.8038, loss: 0.2041 2023-03-04 04:03:34,312 - mmseg - INFO - Iter [93950/160000] lr: 9.375e-06, eta: 5:03:52, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2060, decode.acc_seg: 91.9088, loss: 0.2060 2023-03-04 04:03:45,778 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 04:03:45,778 - mmseg - INFO - Iter [94000/160000] lr: 9.375e-06, eta: 5:03:36, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2025, decode.acc_seg: 91.8633, loss: 0.2025 2023-03-04 04:04:00,113 - mmseg - INFO - Iter [94050/160000] lr: 9.375e-06, eta: 5:03:23, time: 0.287, data_time: 0.055, memory: 67409, decode.loss_ce: 0.1957, decode.acc_seg: 92.0173, loss: 0.1957 2023-03-04 04:04:11,672 - mmseg - INFO - Iter [94100/160000] lr: 9.375e-06, eta: 5:03:08, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2028, decode.acc_seg: 92.0552, loss: 0.2028 2023-03-04 04:04:23,253 - mmseg - INFO - Iter [94150/160000] lr: 9.375e-06, eta: 5:02:52, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2151, decode.acc_seg: 91.4925, loss: 0.2151 2023-03-04 04:04:34,661 - mmseg - INFO - Iter [94200/160000] lr: 9.375e-06, eta: 5:02:37, time: 0.228, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2037, decode.acc_seg: 91.6660, loss: 0.2037 2023-03-04 04:04:46,191 - mmseg - INFO - Iter [94250/160000] lr: 9.375e-06, eta: 5:02:21, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1961, decode.acc_seg: 92.0595, loss: 0.1961 2023-03-04 04:04:57,655 - mmseg - INFO - Iter [94300/160000] lr: 9.375e-06, eta: 5:02:06, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2010, decode.acc_seg: 92.0110, loss: 0.2010 2023-03-04 04:05:09,366 - mmseg - INFO - Iter [94350/160000] lr: 9.375e-06, eta: 5:01:51, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1949, decode.acc_seg: 92.1312, loss: 0.1949 2023-03-04 04:05:20,818 - mmseg - INFO - Iter [94400/160000] lr: 9.375e-06, eta: 5:01:35, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1978, decode.acc_seg: 92.0397, loss: 0.1978 2023-03-04 04:05:32,314 - mmseg - INFO - Iter [94450/160000] lr: 9.375e-06, eta: 5:01:20, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1952, decode.acc_seg: 92.0991, loss: 0.1952 2023-03-04 04:05:43,987 - mmseg - INFO - Iter [94500/160000] lr: 9.375e-06, eta: 5:01:05, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2013, decode.acc_seg: 91.9701, loss: 0.2013 2023-03-04 04:05:55,655 - mmseg - INFO - Iter [94550/160000] lr: 9.375e-06, eta: 5:00:49, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1939, decode.acc_seg: 92.0741, loss: 0.1939 2023-03-04 04:06:07,322 - mmseg - INFO - Iter [94600/160000] lr: 9.375e-06, eta: 5:00:34, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2030, decode.acc_seg: 91.7726, loss: 0.2030 2023-03-04 04:06:19,066 - mmseg - INFO - Iter [94650/160000] lr: 9.375e-06, eta: 5:00:19, time: 0.235, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2017, decode.acc_seg: 91.9672, loss: 0.2017 2023-03-04 04:06:33,100 - mmseg - INFO - Iter [94700/160000] lr: 9.375e-06, eta: 5:00:05, time: 0.281, data_time: 0.053, memory: 67409, decode.loss_ce: 0.1917, decode.acc_seg: 92.1367, loss: 0.1917 2023-03-04 04:06:44,679 - mmseg - INFO - Iter [94750/160000] lr: 9.375e-06, eta: 4:59:50, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1961, decode.acc_seg: 92.0531, loss: 0.1961 2023-03-04 04:06:56,174 - mmseg - INFO - Iter [94800/160000] lr: 9.375e-06, eta: 4:59:35, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1983, decode.acc_seg: 91.9598, loss: 0.1983 2023-03-04 04:07:07,696 - mmseg - INFO - Iter [94850/160000] lr: 9.375e-06, eta: 4:59:19, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2075, decode.acc_seg: 91.6712, loss: 0.2075 2023-03-04 04:07:19,458 - mmseg - INFO - Iter [94900/160000] lr: 9.375e-06, eta: 4:59:04, time: 0.235, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2014, decode.acc_seg: 91.9743, loss: 0.2014 2023-03-04 04:07:31,005 - mmseg - INFO - Iter [94950/160000] lr: 9.375e-06, eta: 4:58:49, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1925, decode.acc_seg: 92.2004, loss: 0.1925 2023-03-04 04:07:42,507 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 04:07:42,507 - mmseg - INFO - Iter [95000/160000] lr: 9.375e-06, eta: 4:58:34, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1976, decode.acc_seg: 91.9798, loss: 0.1976 2023-03-04 04:07:54,140 - mmseg - INFO - Iter [95050/160000] lr: 9.375e-06, eta: 4:58:18, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1991, decode.acc_seg: 91.9226, loss: 0.1991 2023-03-04 04:08:05,859 - mmseg - INFO - Iter [95100/160000] lr: 9.375e-06, eta: 4:58:03, time: 0.235, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1953, decode.acc_seg: 92.2794, loss: 0.1953 2023-03-04 04:08:17,470 - mmseg - INFO - Iter [95150/160000] lr: 9.375e-06, eta: 4:57:48, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2009, decode.acc_seg: 91.9832, loss: 0.2009 2023-03-04 04:08:29,093 - mmseg - INFO - Iter [95200/160000] lr: 9.375e-06, eta: 4:57:33, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1936, decode.acc_seg: 92.1661, loss: 0.1936 2023-03-04 04:08:40,790 - mmseg - INFO - Iter [95250/160000] lr: 9.375e-06, eta: 4:57:17, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2013, decode.acc_seg: 91.9422, loss: 0.2013 2023-03-04 04:08:54,962 - mmseg - INFO - Iter [95300/160000] lr: 9.375e-06, eta: 4:57:04, time: 0.283, data_time: 0.053, memory: 67409, decode.loss_ce: 0.1982, decode.acc_seg: 91.9337, loss: 0.1982 2023-03-04 04:09:06,668 - mmseg - INFO - Iter [95350/160000] lr: 9.375e-06, eta: 4:56:49, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1915, decode.acc_seg: 92.2945, loss: 0.1915 2023-03-04 04:09:18,516 - mmseg - INFO - Iter [95400/160000] lr: 9.375e-06, eta: 4:56:34, time: 0.237, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2006, decode.acc_seg: 91.9801, loss: 0.2006 2023-03-04 04:09:30,242 - mmseg - INFO - Iter [95450/160000] lr: 9.375e-06, eta: 4:56:18, time: 0.235, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1939, decode.acc_seg: 92.1374, loss: 0.1939 2023-03-04 04:09:41,715 - mmseg - INFO - Iter [95500/160000] lr: 9.375e-06, eta: 4:56:03, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2049, decode.acc_seg: 91.8690, loss: 0.2049 2023-03-04 04:09:53,241 - mmseg - INFO - Iter [95550/160000] lr: 9.375e-06, eta: 4:55:48, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2039, decode.acc_seg: 91.9175, loss: 0.2039 2023-03-04 04:10:04,994 - mmseg - INFO - Iter [95600/160000] lr: 9.375e-06, eta: 4:55:33, time: 0.235, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1996, decode.acc_seg: 91.8954, loss: 0.1996 2023-03-04 04:10:16,569 - mmseg - INFO - Iter [95650/160000] lr: 9.375e-06, eta: 4:55:18, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2079, decode.acc_seg: 91.9676, loss: 0.2079 2023-03-04 04:10:28,161 - mmseg - INFO - Iter [95700/160000] lr: 9.375e-06, eta: 4:55:02, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1988, decode.acc_seg: 91.9915, loss: 0.1988 2023-03-04 04:10:39,655 - mmseg - INFO - Iter [95750/160000] lr: 9.375e-06, eta: 4:54:47, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1926, decode.acc_seg: 92.1662, loss: 0.1926 2023-03-04 04:10:51,271 - mmseg - INFO - Iter [95800/160000] lr: 9.375e-06, eta: 4:54:32, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1923, decode.acc_seg: 92.1965, loss: 0.1923 2023-03-04 04:11:02,776 - mmseg - INFO - Iter [95850/160000] lr: 9.375e-06, eta: 4:54:17, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1983, decode.acc_seg: 92.0433, loss: 0.1983 2023-03-04 04:11:14,377 - mmseg - INFO - Iter [95900/160000] lr: 9.375e-06, eta: 4:54:01, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2133, decode.acc_seg: 91.5455, loss: 0.2133 2023-03-04 04:11:28,561 - mmseg - INFO - Iter [95950/160000] lr: 9.375e-06, eta: 4:53:48, time: 0.284, data_time: 0.054, memory: 67409, decode.loss_ce: 0.1886, decode.acc_seg: 92.4233, loss: 0.1886 2023-03-04 04:11:40,101 - mmseg - INFO - Swap parameters (after train) after iter [96000] 2023-03-04 04:11:40,126 - mmseg - INFO - Saving checkpoint at 96000 iterations 2023-03-04 04:11:41,646 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 04:11:41,646 - mmseg - INFO - Iter [96000/160000] lr: 9.375e-06, eta: 4:53:34, time: 0.262, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2008, decode.acc_seg: 91.9689, loss: 0.2008 2023-03-04 04:22:43,034 - mmseg - INFO - per class results: 2023-03-04 04:22:43,043 - mmseg - INFO - +---------------------+-------------------------------------------------------------------+ | Class | IoU 0,10,20,30,40,50,60,70,80,90,99 | +---------------------+-------------------------------------------------------------------+ | background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | | wall | 76.22,76.27,76.26,76.28,76.29,76.31,76.33,76.33,76.34,76.35,76.34 | | building | 82.56,82.58,82.59,82.59,82.59,82.61,82.6,82.62,82.61,82.61,82.63 | | sky | 94.18,94.18,94.18,94.18,94.18,94.19,94.18,94.19,94.19,94.19,94.18 | | floor | 78.94,78.96,78.99,79.01,78.99,79.01,79.01,79.0,79.0,79.01,79.03 | | tree | 73.37,73.39,73.41,73.4,73.46,73.45,73.43,73.46,73.44,73.44,73.5 | | ceiling | 82.67,82.68,82.71,82.68,82.72,82.71,82.7,82.67,82.66,82.66,82.67 | | road | 80.94,80.94,80.94,80.95,80.99,81.02,81.04,81.07,81.09,81.11,81.07 | | bed | 87.95,87.98,87.99,88.0,88.02,88.04,88.04,88.05,88.06,88.08,88.06 | | windowpane | 59.7,59.72,59.73,59.71,59.72,59.72,59.79,59.82,59.84,59.85,59.82 | | grass | 64.95,64.88,64.92,64.94,65.0,65.01,65.05,65.07,65.07,65.16,65.41 | | cabinet | 59.17,59.17,58.94,58.82,58.84,58.64,58.53,58.32,58.24,58.11,58.34 | | sidewalk | 64.7,64.67,64.65,64.73,64.7,64.78,64.83,64.83,64.85,64.85,64.79 | | person | 78.53,78.56,78.57,78.56,78.57,78.55,78.56,78.56,78.57,78.56,78.53 | | earth | 31.6,31.47,31.41,31.39,31.38,31.23,31.17,31.12,31.07,31.11,31.13 | | door | 46.31,46.36,46.42,46.36,46.42,46.44,46.6,46.65,46.7,46.71,46.54 | | table | 60.66,60.63,60.7,60.65,60.64,60.67,60.69,60.74,60.69,60.76,60.73 | | mountain | 52.07,52.07,52.11,52.08,52.13,52.18,52.23,52.27,52.31,52.27,52.31 | | plant | 51.44,51.41,51.52,51.5,51.64,51.68,51.65,51.62,51.63,51.62,51.67 | | curtain | 72.1,72.11,72.15,72.19,72.15,72.2,72.22,72.22,72.28,72.27,72.2 | | chair | 55.88,55.9,55.86,55.87,55.91,55.88,55.87,55.88,55.88,55.86,55.9 | | car | 81.66,81.62,81.6,81.58,81.58,81.59,81.57,81.55,81.53,81.52,81.5 | | water | 45.23,45.22,45.23,45.21,45.23,45.24,45.2,45.23,45.25,45.27,45.29 | | painting | 70.98,70.98,71.07,71.02,71.03,71.12,71.14,71.18,71.2,71.19,71.29 | | sofa | 64.59,64.68,64.76,64.74,64.74,64.79,64.81,64.81,64.87,64.93,64.88 | | shelf | 40.26,40.35,40.37,40.39,40.37,40.31,40.29,40.35,40.36,40.34,40.37 | | house | 46.27,46.3,46.27,46.28,46.36,46.41,46.43,46.46,46.45,46.49,46.46 | | sea | 42.13,42.16,42.15,42.16,42.19,42.18,42.17,42.16,42.16,42.2,42.24 | | mirror | 63.79,63.82,63.82,63.89,63.92,63.91,63.86,63.89,63.94,63.92,63.91 | | rug | 55.02,55.06,55.22,55.23,55.18,55.24,55.25,55.28,55.26,55.18,55.21 | | field | 23.01,22.96,22.98,23.06,23.15,23.09,23.21,23.21,23.32,23.3,23.49 | | armchair | 43.4,43.59,43.69,43.7,43.59,43.64,43.66,43.62,43.66,43.73,43.76 | | seat | 58.0,58.08,58.06,58.05,58.04,58.06,58.0,57.97,58.12,58.03,58.19 | | fence | 35.36,35.53,35.64,35.71,35.92,36.0,36.02,36.04,36.11,36.14,36.08 | | desk | 48.91,48.86,48.93,48.95,48.91,48.88,48.77,48.89,48.86,48.85,48.63 | | rock | 29.77,29.83,29.83,29.83,29.68,29.93,30.02,30.03,30.3,30.4,29.91 | | wardrobe | 43.85,43.78,43.22,42.58,42.52,42.21,42.14,41.9,42.1,42.01,42.56 | | lamp | 63.14,63.22,63.21,63.23,63.31,63.29,63.26,63.27,63.31,63.28,63.32 | | bathtub | 77.39,77.28,77.3,77.39,77.42,77.52,77.48,77.55,77.63,77.7,77.29 | | railing | 28.93,28.86,28.9,28.88,28.88,28.89,28.99,28.92,28.96,28.95,28.85 | | cushion | 54.29,54.29,54.29,54.34,54.45,54.55,54.61,54.66,54.65,54.75,54.45 | | base | 21.34,21.36,21.55,21.64,21.68,21.71,21.7,21.83,21.73,21.79,22.05 | | box | 22.33,22.35,22.43,22.37,22.48,22.46,22.47,22.45,22.39,22.4,22.52 | | column | 45.3,45.26,45.27,45.4,45.45,45.58,45.67,45.84,45.91,45.99,45.6 | | signboard | 36.03,36.05,36.15,36.13,36.17,36.24,36.31,36.37,36.42,36.48,36.48 | | chest of drawers | 38.44,38.46,38.48,38.39,38.57,38.49,38.4,38.36,38.56,38.47,38.06 | | counter | 25.97,25.66,25.38,25.39,25.11,25.02,24.84,24.78,24.67,24.61,24.65 | | sand | 31.49,31.26,31.1,31.03,30.97,30.65,30.48,30.33,30.19,30.12,30.07 | | sink | 68.72,68.69,68.79,68.79,68.79,68.74,68.77,68.75,68.75,68.74,68.57 | | skyscraper | 60.53,60.16,60.36,60.16,59.85,59.81,59.67,59.75,59.47,59.49,59.34 | | fireplace | 70.89,70.67,70.72,70.82,70.65,70.69,70.75,70.79,70.77,70.76,70.91 | | refrigerator | 71.46,71.54,71.56,71.73,71.75,71.68,71.64,71.63,71.45,71.44,71.2 | | grandstand | 38.9,39.03,39.02,39.2,38.99,38.9,39.03,38.89,38.88,38.83,38.8 | | path | 16.38,16.46,16.62,16.61,16.72,16.87,17.06,16.91,17.08,17.11,17.39 | | stairs | 30.44,30.4,30.42,30.44,30.49,30.41,30.41,30.39,30.41,30.39,30.36 | | runway | 60.63,60.73,60.81,60.92,60.99,61.12,61.23,61.3,61.43,61.5,61.57 | | case | 44.66,44.7,44.56,44.58,44.59,44.42,44.35,44.38,44.3,44.24,44.07 | | pool table | 91.73,91.67,91.72,91.7,91.72,91.72,91.7,91.75,91.75,91.76,91.67 | | pillow | 55.62,55.64,55.51,55.53,55.58,55.65,55.51,55.54,55.55,55.64,55.31 | | screen door | 69.21,69.89,70.17,70.2,70.31,70.88,71.0,71.14,71.45,71.33,70.18 | | stairway | 31.9,31.9,31.82,31.84,31.73,31.6,31.58,31.59,31.48,31.43,31.37 | | river | 12.13,12.11,12.12,12.08,12.08,12.09,12.06,12.06,12.05,12.03,12.04 | | bridge | 63.09,63.22,63.29,63.19,63.12,63.32,63.3,63.33,63.1,63.02,63.09 | | bookcase | 40.19,40.33,40.38,40.41,40.32,40.29,40.27,40.22,40.09,39.97,40.24 | | blind | 40.41,40.44,40.43,40.46,40.41,40.26,40.47,40.64,40.57,40.79,40.47 | | coffee table | 58.09,58.2,58.06,58.04,58.03,58.04,58.17,58.17,58.24,58.33,58.55 | | toilet | 86.25,86.27,86.26,86.25,86.27,86.25,86.21,86.2,86.21,86.22,86.23 | | flower | 34.11,34.04,34.04,34.08,34.07,34.18,34.16,34.13,34.15,34.12,33.9 | | book | 45.69,45.75,45.78,45.82,45.93,45.93,46.02,46.04,46.11,46.01,46.07 | | hill | 4.21,4.24,4.2,4.2,4.2,4.21,4.27,4.21,4.26,4.2,4.22 | | bench | 37.52,37.66,37.79,37.91,37.9,38.05,38.28,38.29,38.25,38.28,38.26 | | countertop | 57.22,57.37,57.35,57.61,57.71,57.69,57.73,57.67,57.64,57.65,57.64 | | stove | 72.73,72.61,72.88,72.8,72.87,72.9,72.92,72.79,72.81,72.81,72.83 | | palm | 50.58,50.7,50.63,50.74,50.62,50.77,50.79,50.77,50.7,50.63,50.84 | | kitchen island | 48.07,47.97,48.09,48.1,47.97,47.77,47.85,47.84,47.77,47.84,47.85 | | computer | 55.5,55.5,55.49,55.51,55.43,55.44,55.46,55.39,55.41,55.46,55.48 | | swivel chair | 44.75,44.71,44.73,44.69,44.66,44.84,44.63,44.67,44.72,44.62,44.77 | | boat | 47.69,48.02,47.68,47.8,47.8,47.84,47.86,47.88,47.75,47.81,47.75 | | bar | 23.91,23.93,23.98,23.95,23.98,24.03,24.11,24.1,24.12,24.18,24.21 | | arcade machine | 25.01,25.29,24.7,24.78,24.08,24.55,24.38,24.43,24.29,24.47,24.86 | | hovel | 37.4,37.46,37.44,37.38,37.29,37.26,37.22,37.19,36.98,36.91,37.22 | | bus | 79.03,78.98,78.99,79.02,78.85,78.75,78.85,78.74,78.8,78.68,78.66 | | towel | 56.35,56.35,56.37,56.39,56.4,56.44,56.39,56.43,56.56,56.57,56.53 | | light | 54.65,54.56,54.56,54.54,54.5,54.49,54.52,54.45,54.43,54.36,54.28 | | truck | 33.42,33.45,33.51,33.67,33.67,33.61,33.69,33.81,33.71,33.7,33.65 | | tower | 30.7,30.62,30.67,30.91,30.85,30.97,30.92,30.9,30.99,30.95,30.45 | | chandelier | 68.29,68.32,68.33,68.33,68.45,68.42,68.41,68.49,68.49,68.47,68.56 | | awning | 23.99,23.87,23.84,23.98,23.87,23.97,23.91,23.9,24.07,24.11,23.9 | | streetlight | 26.52,26.53,26.58,26.55,26.57,26.56,26.57,26.57,26.56,26.63,26.58 | | booth | 43.02,42.99,43.33,43.39,43.18,43.37,43.41,43.19,43.19,43.3,44.05 | | television receiver | 67.87,67.91,67.82,67.87,67.84,67.82,67.84,67.72,67.71,67.67,67.85 | | airplane | 50.85,51.03,50.64,50.89,50.89,51.02,50.91,50.94,50.98,51.01,51.14 | | dirt track | 3.65,3.63,3.69,3.67,3.7,3.65,3.66,3.64,3.63,3.61,3.6 | | apparel | 28.08,28.11,28.13,28.19,28.22,28.27,28.28,28.4,28.36,28.41,28.45 | | pole | 23.72,23.71,23.66,23.59,23.65,23.58,23.59,23.57,23.51,23.5,23.47 | | land | 0.72,0.7,0.7,0.71,0.69,0.69,0.69,0.7,0.7,0.72,0.7 | | bannister | 9.62,9.71,9.69,9.64,9.79,9.75,9.92,9.94,10.01,10.07,10.09 | | escalator | 22.13,21.99,22.14,22.0,21.9,21.97,21.79,21.88,21.78,21.73,21.84 | | ottoman | 43.85,43.92,43.81,43.68,44.16,43.76,43.8,43.85,44.01,44.07,43.49 | | bottle | 12.57,12.53,12.57,12.56,12.65,12.64,12.63,12.58,12.7,12.73,12.79 | | buffet | 34.25,34.23,34.23,34.3,34.25,34.27,34.3,34.27,34.26,34.28,34.23 | | poster | 25.71,25.58,25.65,25.74,25.61,25.99,26.22,26.01,26.15,26.14,26.18 | | stage | 10.68,10.51,10.53,10.52,10.3,10.26,10.29,10.18,10.1,10.02,10.17 | | van | 42.42,42.27,42.02,42.02,42.05,41.75,41.82,41.82,41.65,41.72,41.99 | | ship | 71.16,71.35,71.36,71.69,71.92,72.01,72.27,72.33,72.45,72.58,72.74 | | fountain | 0.47,0.5,0.48,0.49,0.51,0.5,0.52,0.51,0.53,0.54,0.54 | | conveyer belt | 62.37,62.26,62.34,62.3,62.4,62.09,62.01,61.7,61.86,61.24,61.85 | | canopy | 16.35,16.41,16.5,16.57,16.48,16.57,16.63,16.62,16.65,16.69,16.72 | | washer | 64.25,64.18,64.16,64.14,64.06,64.02,64.01,63.91,63.87,63.83,63.96 | | plaything | 23.98,24.01,23.93,24.04,23.99,24.07,24.0,24.18,24.14,24.21,24.12 | | swimming pool | 28.11,28.15,28.14,28.13,28.06,28.11,28.11,28.06,28.08,28.08,28.08 | | stool | 42.87,42.9,42.89,42.97,42.95,42.96,43.15,43.2,43.15,43.27,42.88 | | barrel | 43.36,43.07,42.51,42.31,41.89,41.56,41.33,40.98,40.73,40.55,40.42 | | basket | 21.63,21.55,21.47,21.37,21.33,21.26,21.2,21.12,21.12,21.07,20.92 | | waterfall | 52.33,52.0,52.1,51.78,51.88,51.9,52.02,51.58,51.59,51.56,51.88 | | tent | 92.35,92.28,92.23,92.23,92.01,92.04,91.9,91.84,91.72,91.64,91.58 | | bag | 9.66,9.66,9.7,9.63,9.53,9.58,9.47,9.39,9.4,9.29,9.25 | | minibike | 51.16,51.06,50.93,51.3,50.8,51.15,51.26,51.07,51.13,50.92,50.86 | | cradle | 75.79,75.8,75.86,75.81,75.91,75.95,75.95,75.95,75.98,75.97,76.0 | | oven | 22.55,22.43,22.45,22.24,21.78,21.62,21.44,21.07,21.1,20.88,21.41 | | ball | 46.54,46.54,46.61,46.72,46.78,46.77,46.89,46.87,46.89,46.86,46.96 | | food | 48.98,48.74,48.73,48.57,48.42,48.26,48.12,47.94,47.81,47.6,47.55 | | step | 5.82,5.61,5.63,5.55,5.56,5.59,5.52,5.47,5.42,5.36,5.32 | | tank | 47.51,47.57,47.57,47.57,47.58,47.53,47.5,47.5,47.45,47.43,47.35 | | trade name | 20.86,20.91,20.77,20.81,20.69,20.83,20.98,20.77,20.89,20.88,21.01 | | microwave | 38.72,38.77,38.59,38.53,38.45,38.31,38.27,38.21,38.1,38.07,38.19 | | pot | 37.7,37.73,37.63,37.64,37.64,37.53,37.61,37.57,37.6,37.56,37.44 | | animal | 51.49,51.56,51.53,51.56,51.61,51.64,51.63,51.63,51.63,51.59,51.53 | | bicycle | 45.26,45.28,45.18,45.27,45.16,45.15,45.27,45.31,45.18,45.07,45.36 | | lake | 61.34,61.38,61.46,61.42,61.49,61.23,61.31,61.43,61.22,60.97,61.52 | | dishwasher | 73.14,72.82,72.95,73.04,72.93,72.88,72.91,73.04,73.06,72.73,72.91 | | screen | 57.69,57.5,57.44,57.28,57.02,56.92,56.76,56.63,56.43,56.35,56.36 | | blanket | 6.45,6.43,6.46,6.48,6.49,6.47,6.5,6.52,6.57,6.59,6.66 | | sculpture | 42.53,42.38,42.29,42.0,41.96,41.71,41.71,41.61,41.45,41.16,40.98 | | hood | 61.23,61.3,61.36,61.25,61.32,61.18,61.27,61.28,61.43,61.42,61.15 | | sconce | 42.08,42.09,42.01,42.11,42.17,42.25,42.19,42.22,42.22,42.21,42.37 | | vase | 32.43,32.43,32.48,32.58,32.56,32.57,32.58,32.63,32.63,32.74,32.71 | | traffic light | 28.23,28.07,28.1,27.99,27.87,27.98,27.77,27.73,27.7,27.69,27.77 | | tray | 5.72,5.9,6.05,6.07,6.14,6.23,6.37,6.41,6.42,6.53,6.5 | | ashcan | 41.95,42.25,42.33,42.25,42.43,42.49,42.52,42.69,42.57,42.71,42.8 | | fan | 57.31,57.41,57.26,57.28,57.28,57.15,57.19,57.25,57.28,57.24,57.07 | | pier | 19.31,19.34,19.01,19.17,19.13,19.03,19.0,19.03,18.89,18.77,18.62 | | crt screen | 5.62,5.6,5.63,5.81,5.96,5.92,6.04,6.14,6.13,6.21,6.17 | | plate | 40.34,40.66,40.55,40.74,40.56,40.82,40.84,40.8,40.91,41.02,40.13 | | monitor | 63.1,63.19,63.31,63.51,63.43,63.37,63.61,63.64,63.68,63.84,63.93 | | bulletin board | 34.33,34.91,35.2,35.46,35.28,35.8,36.07,36.27,36.35,37.12,36.99 | | shower | 0.8,0.85,0.86,0.91,0.93,0.88,0.91,0.9,0.91,0.94,0.9 | | radiator | 41.32,41.38,41.23,41.24,41.28,41.01,41.3,41.17,41.12,41.06,40.57 | | glass | 10.0,9.95,9.89,9.83,9.79,9.74,9.67,9.65,9.6,9.61,9.5 | | clock | 18.78,18.8,18.9,18.92,18.36,18.36,18.41,18.14,18.34,18.19,18.11 | | flag | 41.49,41.54,41.49,41.69,41.59,41.68,41.6,41.66,41.71,41.43,41.87 | +---------------------+-------------------------------------------------------------------+ 2023-03-04 04:22:43,043 - mmseg - INFO - Summary: 2023-03-04 04:22:43,043 - mmseg - INFO - +-------------------------------------------------------------------+ | mIoU 0,10,20,30,40,50,60,70,80,90,99 | +-------------------------------------------------------------------+ | 45.23,45.24,45.24,45.25,45.22,45.23,45.24,45.23,45.23,45.22,45.21 | +-------------------------------------------------------------------+ 2023-03-04 04:22:43,043 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 04:22:43,043 - mmseg - INFO - Iter(val) [250] mIoU: [0.4523, 0.4524, 0.4524, 0.4525, 0.4522, 0.4523, 0.4524, 0.4523, 0.4523, 0.4522, 0.4521], copy_paste: 45.23,45.24,45.24,45.25,45.22,45.23,45.24,45.23,45.23,45.22,45.21 2023-03-04 04:22:43,050 - mmseg - INFO - Swap parameters (before train) before iter [96001] 2023-03-04 04:22:55,216 - mmseg - INFO - Iter [96050/160000] lr: 9.375e-06, eta: 5:00:39, time: 13.471, data_time: 13.235, memory: 67409, decode.loss_ce: 0.2066, decode.acc_seg: 91.8128, loss: 0.2066 2023-03-04 04:23:07,191 - mmseg - INFO - Iter [96100/160000] lr: 9.375e-06, eta: 5:00:24, time: 0.239, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1974, decode.acc_seg: 91.9947, loss: 0.1974 2023-03-04 04:23:19,066 - mmseg - INFO - Iter [96150/160000] lr: 9.375e-06, eta: 5:00:08, time: 0.237, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1974, decode.acc_seg: 92.0559, loss: 0.1974 2023-03-04 04:23:30,824 - mmseg - INFO - Iter [96200/160000] lr: 9.375e-06, eta: 4:59:52, time: 0.235, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1977, decode.acc_seg: 92.1187, loss: 0.1977 2023-03-04 04:23:42,378 - mmseg - INFO - Iter [96250/160000] lr: 9.375e-06, eta: 4:59:37, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2026, decode.acc_seg: 91.8966, loss: 0.2026 2023-03-04 04:23:54,234 - mmseg - INFO - Iter [96300/160000] lr: 9.375e-06, eta: 4:59:21, time: 0.237, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2134, decode.acc_seg: 91.4590, loss: 0.2134 2023-03-04 04:24:05,903 - mmseg - INFO - Iter [96350/160000] lr: 9.375e-06, eta: 4:59:05, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1964, decode.acc_seg: 92.1803, loss: 0.1964 2023-03-04 04:24:17,498 - mmseg - INFO - Iter [96400/160000] lr: 9.375e-06, eta: 4:58:50, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1982, decode.acc_seg: 91.9435, loss: 0.1982 2023-03-04 04:24:29,128 - mmseg - INFO - Iter [96450/160000] lr: 9.375e-06, eta: 4:58:34, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1940, decode.acc_seg: 92.1923, loss: 0.1940 2023-03-04 04:24:40,589 - mmseg - INFO - Iter [96500/160000] lr: 9.375e-06, eta: 4:58:18, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1993, decode.acc_seg: 91.9404, loss: 0.1993 2023-03-04 04:24:54,661 - mmseg - INFO - Iter [96550/160000] lr: 9.375e-06, eta: 4:58:04, time: 0.281, data_time: 0.052, memory: 67409, decode.loss_ce: 0.1952, decode.acc_seg: 92.0098, loss: 0.1952 2023-03-04 04:25:06,301 - mmseg - INFO - Iter [96600/160000] lr: 9.375e-06, eta: 4:57:48, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1903, decode.acc_seg: 92.2272, loss: 0.1903 2023-03-04 04:25:17,931 - mmseg - INFO - Iter [96650/160000] lr: 9.375e-06, eta: 4:57:32, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1949, decode.acc_seg: 92.1792, loss: 0.1949 2023-03-04 04:25:29,557 - mmseg - INFO - Iter [96700/160000] lr: 9.375e-06, eta: 4:57:17, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1990, decode.acc_seg: 92.1563, loss: 0.1990 2023-03-04 04:25:41,162 - mmseg - INFO - Iter [96750/160000] lr: 9.375e-06, eta: 4:57:01, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2081, decode.acc_seg: 91.6520, loss: 0.2081 2023-03-04 04:25:52,678 - mmseg - INFO - Iter [96800/160000] lr: 9.375e-06, eta: 4:56:45, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1995, decode.acc_seg: 91.9018, loss: 0.1995 2023-03-04 04:26:04,465 - mmseg - INFO - Iter [96850/160000] lr: 9.375e-06, eta: 4:56:30, time: 0.236, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2016, decode.acc_seg: 91.9129, loss: 0.2016 2023-03-04 04:26:16,008 - mmseg - INFO - Iter [96900/160000] lr: 9.375e-06, eta: 4:56:14, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2020, decode.acc_seg: 91.9253, loss: 0.2020 2023-03-04 04:26:27,617 - mmseg - INFO - Iter [96950/160000] lr: 9.375e-06, eta: 4:55:58, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1963, decode.acc_seg: 92.1185, loss: 0.1963 2023-03-04 04:26:39,097 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 04:26:39,097 - mmseg - INFO - Iter [97000/160000] lr: 9.375e-06, eta: 4:55:43, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2039, decode.acc_seg: 91.8374, loss: 0.2039 2023-03-04 04:26:50,746 - mmseg - INFO - Iter [97050/160000] lr: 9.375e-06, eta: 4:55:27, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1969, decode.acc_seg: 92.1038, loss: 0.1969 2023-03-04 04:27:02,454 - mmseg - INFO - Iter [97100/160000] lr: 9.375e-06, eta: 4:55:11, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1999, decode.acc_seg: 91.8332, loss: 0.1999 2023-03-04 04:27:14,118 - mmseg - INFO - Iter [97150/160000] lr: 9.375e-06, eta: 4:54:56, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2006, decode.acc_seg: 91.9051, loss: 0.2006 2023-03-04 04:27:28,083 - mmseg - INFO - Iter [97200/160000] lr: 9.375e-06, eta: 4:54:41, time: 0.279, data_time: 0.053, memory: 67409, decode.loss_ce: 0.1992, decode.acc_seg: 92.0551, loss: 0.1992 2023-03-04 04:27:39,544 - mmseg - INFO - Iter [97250/160000] lr: 9.375e-06, eta: 4:54:26, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2012, decode.acc_seg: 91.8451, loss: 0.2012 2023-03-04 04:27:51,122 - mmseg - INFO - Iter [97300/160000] lr: 9.375e-06, eta: 4:54:10, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2037, decode.acc_seg: 91.9221, loss: 0.2037 2023-03-04 04:28:02,928 - mmseg - INFO - Iter [97350/160000] lr: 9.375e-06, eta: 4:53:54, time: 0.236, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2044, decode.acc_seg: 91.8579, loss: 0.2044 2023-03-04 04:28:14,366 - mmseg - INFO - Iter [97400/160000] lr: 9.375e-06, eta: 4:53:39, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1967, decode.acc_seg: 92.0618, loss: 0.1967 2023-03-04 04:28:25,896 - mmseg - INFO - Iter [97450/160000] lr: 9.375e-06, eta: 4:53:23, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2004, decode.acc_seg: 92.1681, loss: 0.2004 2023-03-04 04:28:37,343 - mmseg - INFO - Iter [97500/160000] lr: 9.375e-06, eta: 4:53:07, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1937, decode.acc_seg: 92.1489, loss: 0.1937 2023-03-04 04:28:48,932 - mmseg - INFO - Iter [97550/160000] lr: 9.375e-06, eta: 4:52:52, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2028, decode.acc_seg: 91.8638, loss: 0.2028 2023-03-04 04:29:00,403 - mmseg - INFO - Iter [97600/160000] lr: 9.375e-06, eta: 4:52:36, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2039, decode.acc_seg: 91.7370, loss: 0.2039 2023-03-04 04:29:11,964 - mmseg - INFO - Iter [97650/160000] lr: 9.375e-06, eta: 4:52:20, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1951, decode.acc_seg: 92.0957, loss: 0.1951 2023-03-04 04:29:23,407 - mmseg - INFO - Iter [97700/160000] lr: 9.375e-06, eta: 4:52:04, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1917, decode.acc_seg: 92.1160, loss: 0.1917 2023-03-04 04:29:35,121 - mmseg - INFO - Iter [97750/160000] lr: 9.375e-06, eta: 4:51:49, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1958, decode.acc_seg: 92.1784, loss: 0.1958 2023-03-04 04:29:46,559 - mmseg - INFO - Iter [97800/160000] lr: 9.375e-06, eta: 4:51:33, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1976, decode.acc_seg: 91.8717, loss: 0.1976 2023-03-04 04:30:00,700 - mmseg - INFO - Iter [97850/160000] lr: 9.375e-06, eta: 4:51:19, time: 0.283, data_time: 0.054, memory: 67409, decode.loss_ce: 0.1958, decode.acc_seg: 92.2112, loss: 0.1958 2023-03-04 04:30:12,226 - mmseg - INFO - Iter [97900/160000] lr: 9.375e-06, eta: 4:51:03, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2114, decode.acc_seg: 91.5992, loss: 0.2114 2023-03-04 04:30:23,893 - mmseg - INFO - Iter [97950/160000] lr: 9.375e-06, eta: 4:50:48, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1974, decode.acc_seg: 91.9608, loss: 0.1974 2023-03-04 04:30:35,363 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 04:30:35,363 - mmseg - INFO - Iter [98000/160000] lr: 9.375e-06, eta: 4:50:32, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1972, decode.acc_seg: 92.0526, loss: 0.1972 2023-03-04 04:30:46,892 - mmseg - INFO - Iter [98050/160000] lr: 9.375e-06, eta: 4:50:17, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1930, decode.acc_seg: 92.1421, loss: 0.1930 2023-03-04 04:30:58,363 - mmseg - INFO - Iter [98100/160000] lr: 9.375e-06, eta: 4:50:01, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2014, decode.acc_seg: 91.8507, loss: 0.2014 2023-03-04 04:31:10,133 - mmseg - INFO - Iter [98150/160000] lr: 9.375e-06, eta: 4:49:45, time: 0.235, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2039, decode.acc_seg: 91.6961, loss: 0.2039 2023-03-04 04:31:21,675 - mmseg - INFO - Iter [98200/160000] lr: 9.375e-06, eta: 4:49:30, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2038, decode.acc_seg: 91.9417, loss: 0.2038 2023-03-04 04:31:33,230 - mmseg - INFO - Iter [98250/160000] lr: 9.375e-06, eta: 4:49:14, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1983, decode.acc_seg: 92.0283, loss: 0.1983 2023-03-04 04:31:44,760 - mmseg - INFO - Iter [98300/160000] lr: 9.375e-06, eta: 4:48:58, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2092, decode.acc_seg: 91.6591, loss: 0.2092 2023-03-04 04:31:56,240 - mmseg - INFO - Iter [98350/160000] lr: 9.375e-06, eta: 4:48:43, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1941, decode.acc_seg: 92.1310, loss: 0.1941 2023-03-04 04:32:07,852 - mmseg - INFO - Iter [98400/160000] lr: 9.375e-06, eta: 4:48:27, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1983, decode.acc_seg: 92.0194, loss: 0.1983 2023-03-04 04:32:21,893 - mmseg - INFO - Iter [98450/160000] lr: 9.375e-06, eta: 4:48:13, time: 0.281, data_time: 0.056, memory: 67409, decode.loss_ce: 0.1921, decode.acc_seg: 92.3975, loss: 0.1921 2023-03-04 04:32:33,542 - mmseg - INFO - Iter [98500/160000] lr: 9.375e-06, eta: 4:47:58, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2024, decode.acc_seg: 91.8751, loss: 0.2024 2023-03-04 04:32:45,322 - mmseg - INFO - Iter [98550/160000] lr: 9.375e-06, eta: 4:47:42, time: 0.236, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2097, decode.acc_seg: 91.5796, loss: 0.2097 2023-03-04 04:32:56,834 - mmseg - INFO - Iter [98600/160000] lr: 9.375e-06, eta: 4:47:27, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1991, decode.acc_seg: 91.8854, loss: 0.1991 2023-03-04 04:33:08,539 - mmseg - INFO - Iter [98650/160000] lr: 9.375e-06, eta: 4:47:11, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1965, decode.acc_seg: 92.2047, loss: 0.1965 2023-03-04 04:33:20,014 - mmseg - INFO - Iter [98700/160000] lr: 9.375e-06, eta: 4:46:55, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2109, decode.acc_seg: 91.8643, loss: 0.2109 2023-03-04 04:33:31,677 - mmseg - INFO - Iter [98750/160000] lr: 9.375e-06, eta: 4:46:40, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1921, decode.acc_seg: 92.1587, loss: 0.1921 2023-03-04 04:33:43,192 - mmseg - INFO - Iter [98800/160000] lr: 9.375e-06, eta: 4:46:24, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1999, decode.acc_seg: 91.9873, loss: 0.1999 2023-03-04 04:33:54,864 - mmseg - INFO - Iter [98850/160000] lr: 9.375e-06, eta: 4:46:09, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2020, decode.acc_seg: 91.9133, loss: 0.2020 2023-03-04 04:34:06,536 - mmseg - INFO - Iter [98900/160000] lr: 9.375e-06, eta: 4:45:53, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1984, decode.acc_seg: 91.9971, loss: 0.1984 2023-03-04 04:34:18,049 - mmseg - INFO - Iter [98950/160000] lr: 9.375e-06, eta: 4:45:38, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1997, decode.acc_seg: 92.1181, loss: 0.1997 2023-03-04 04:34:29,633 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 04:34:29,633 - mmseg - INFO - Iter [99000/160000] lr: 9.375e-06, eta: 4:45:22, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1891, decode.acc_seg: 92.3782, loss: 0.1891 2023-03-04 04:34:41,184 - mmseg - INFO - Iter [99050/160000] lr: 9.375e-06, eta: 4:45:07, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1989, decode.acc_seg: 92.0182, loss: 0.1989 2023-03-04 04:34:55,313 - mmseg - INFO - Iter [99100/160000] lr: 9.375e-06, eta: 4:44:53, time: 0.283, data_time: 0.053, memory: 67409, decode.loss_ce: 0.2036, decode.acc_seg: 91.9439, loss: 0.2036 2023-03-04 04:35:06,913 - mmseg - INFO - Iter [99150/160000] lr: 9.375e-06, eta: 4:44:37, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1959, decode.acc_seg: 91.9263, loss: 0.1959 2023-03-04 04:35:18,377 - mmseg - INFO - Iter [99200/160000] lr: 9.375e-06, eta: 4:44:21, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1951, decode.acc_seg: 92.1984, loss: 0.1951 2023-03-04 04:35:29,833 - mmseg - INFO - Iter [99250/160000] lr: 9.375e-06, eta: 4:44:06, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2063, decode.acc_seg: 91.6376, loss: 0.2063 2023-03-04 04:35:41,282 - mmseg - INFO - Iter [99300/160000] lr: 9.375e-06, eta: 4:43:50, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1999, decode.acc_seg: 91.9308, loss: 0.1999 2023-03-04 04:35:52,805 - mmseg - INFO - Iter [99350/160000] lr: 9.375e-06, eta: 4:43:35, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1961, decode.acc_seg: 92.1424, loss: 0.1961 2023-03-04 04:36:04,487 - mmseg - INFO - Iter [99400/160000] lr: 9.375e-06, eta: 4:43:19, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2010, decode.acc_seg: 92.0012, loss: 0.2010 2023-03-04 04:36:16,102 - mmseg - INFO - Iter [99450/160000] lr: 9.375e-06, eta: 4:43:04, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1968, decode.acc_seg: 92.1585, loss: 0.1968 2023-03-04 04:36:27,578 - mmseg - INFO - Iter [99500/160000] lr: 9.375e-06, eta: 4:42:48, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1996, decode.acc_seg: 91.9310, loss: 0.1996 2023-03-04 04:36:39,091 - mmseg - INFO - Iter [99550/160000] lr: 9.375e-06, eta: 4:42:33, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2002, decode.acc_seg: 91.9627, loss: 0.2002 2023-03-04 04:36:50,524 - mmseg - INFO - Iter [99600/160000] lr: 9.375e-06, eta: 4:42:17, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2032, decode.acc_seg: 91.8226, loss: 0.2032 2023-03-04 04:37:02,054 - mmseg - INFO - Iter [99650/160000] lr: 9.375e-06, eta: 4:42:01, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2028, decode.acc_seg: 91.6905, loss: 0.2028 2023-03-04 04:37:16,243 - mmseg - INFO - Iter [99700/160000] lr: 9.375e-06, eta: 4:41:48, time: 0.284, data_time: 0.052, memory: 67409, decode.loss_ce: 0.1931, decode.acc_seg: 92.2932, loss: 0.1931 2023-03-04 04:37:27,743 - mmseg - INFO - Iter [99750/160000] lr: 9.375e-06, eta: 4:41:32, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1993, decode.acc_seg: 91.9504, loss: 0.1993 2023-03-04 04:37:39,400 - mmseg - INFO - Iter [99800/160000] lr: 9.375e-06, eta: 4:41:17, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2035, decode.acc_seg: 91.8231, loss: 0.2035 2023-03-04 04:37:50,932 - mmseg - INFO - Iter [99850/160000] lr: 9.375e-06, eta: 4:41:01, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1934, decode.acc_seg: 92.2234, loss: 0.1934 2023-03-04 04:38:02,378 - mmseg - INFO - Iter [99900/160000] lr: 9.375e-06, eta: 4:40:45, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1874, decode.acc_seg: 92.3601, loss: 0.1874 2023-03-04 04:38:13,910 - mmseg - INFO - Iter [99950/160000] lr: 9.375e-06, eta: 4:40:30, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1994, decode.acc_seg: 92.0247, loss: 0.1994 2023-03-04 04:38:25,575 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 04:38:25,575 - mmseg - INFO - Iter [100000/160000] lr: 9.375e-06, eta: 4:40:15, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1928, decode.acc_seg: 92.0788, loss: 0.1928 2023-03-04 04:38:37,041 - mmseg - INFO - Iter [100050/160000] lr: 4.687e-06, eta: 4:39:59, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2021, decode.acc_seg: 91.7577, loss: 0.2021 2023-03-04 04:38:48,561 - mmseg - INFO - Iter [100100/160000] lr: 4.687e-06, eta: 4:39:43, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1993, decode.acc_seg: 91.9750, loss: 0.1993 2023-03-04 04:39:00,120 - mmseg - INFO - Iter [100150/160000] lr: 4.687e-06, eta: 4:39:28, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2069, decode.acc_seg: 91.8153, loss: 0.2069 2023-03-04 04:39:11,566 - mmseg - INFO - Iter [100200/160000] lr: 4.687e-06, eta: 4:39:12, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1959, decode.acc_seg: 92.0235, loss: 0.1959 2023-03-04 04:39:23,121 - mmseg - INFO - Iter [100250/160000] lr: 4.687e-06, eta: 4:38:57, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1995, decode.acc_seg: 92.0628, loss: 0.1995 2023-03-04 04:39:34,711 - mmseg - INFO - Iter [100300/160000] lr: 4.687e-06, eta: 4:38:42, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2028, decode.acc_seg: 91.7447, loss: 0.2028 2023-03-04 04:39:48,729 - mmseg - INFO - Iter [100350/160000] lr: 4.687e-06, eta: 4:38:28, time: 0.280, data_time: 0.055, memory: 67409, decode.loss_ce: 0.2004, decode.acc_seg: 91.9529, loss: 0.2004 2023-03-04 04:40:00,553 - mmseg - INFO - Iter [100400/160000] lr: 4.687e-06, eta: 4:38:12, time: 0.236, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1925, decode.acc_seg: 92.3278, loss: 0.1925 2023-03-04 04:40:12,010 - mmseg - INFO - Iter [100450/160000] lr: 4.687e-06, eta: 4:37:57, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1922, decode.acc_seg: 92.3451, loss: 0.1922 2023-03-04 04:40:23,526 - mmseg - INFO - Iter [100500/160000] lr: 4.687e-06, eta: 4:37:41, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1979, decode.acc_seg: 92.0754, loss: 0.1979 2023-03-04 04:40:35,066 - mmseg - INFO - Iter [100550/160000] lr: 4.687e-06, eta: 4:37:26, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1998, decode.acc_seg: 92.0635, loss: 0.1998 2023-03-04 04:40:46,652 - mmseg - INFO - Iter [100600/160000] lr: 4.687e-06, eta: 4:37:10, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2000, decode.acc_seg: 92.0567, loss: 0.2000 2023-03-04 04:40:58,394 - mmseg - INFO - Iter [100650/160000] lr: 4.687e-06, eta: 4:36:55, time: 0.235, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2010, decode.acc_seg: 91.8381, loss: 0.2010 2023-03-04 04:41:10,127 - mmseg - INFO - Iter [100700/160000] lr: 4.687e-06, eta: 4:36:40, time: 0.235, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1922, decode.acc_seg: 92.1134, loss: 0.1922 2023-03-04 04:41:21,713 - mmseg - INFO - Iter [100750/160000] lr: 4.687e-06, eta: 4:36:24, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1949, decode.acc_seg: 92.1419, loss: 0.1949 2023-03-04 04:41:33,441 - mmseg - INFO - Iter [100800/160000] lr: 4.687e-06, eta: 4:36:09, time: 0.235, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2015, decode.acc_seg: 91.8864, loss: 0.2015 2023-03-04 04:41:44,902 - mmseg - INFO - Iter [100850/160000] lr: 4.687e-06, eta: 4:35:54, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2066, decode.acc_seg: 91.7573, loss: 0.2066 2023-03-04 04:41:56,410 - mmseg - INFO - Iter [100900/160000] lr: 4.687e-06, eta: 4:35:38, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1903, decode.acc_seg: 92.4443, loss: 0.1903 2023-03-04 04:42:07,980 - mmseg - INFO - Iter [100950/160000] lr: 4.687e-06, eta: 4:35:23, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2059, decode.acc_seg: 91.7970, loss: 0.2059 2023-03-04 04:42:21,983 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 04:42:21,983 - mmseg - INFO - Iter [101000/160000] lr: 4.687e-06, eta: 4:35:09, time: 0.280, data_time: 0.053, memory: 67409, decode.loss_ce: 0.2042, decode.acc_seg: 92.0351, loss: 0.2042 2023-03-04 04:42:33,464 - mmseg - INFO - Iter [101050/160000] lr: 4.687e-06, eta: 4:34:53, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1928, decode.acc_seg: 92.2985, loss: 0.1928 2023-03-04 04:42:44,907 - mmseg - INFO - Iter [101100/160000] lr: 4.687e-06, eta: 4:34:38, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2004, decode.acc_seg: 91.9406, loss: 0.2004 2023-03-04 04:42:56,457 - mmseg - INFO - Iter [101150/160000] lr: 4.687e-06, eta: 4:34:22, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1931, decode.acc_seg: 92.1731, loss: 0.1931 2023-03-04 04:43:08,196 - mmseg - INFO - Iter [101200/160000] lr: 4.687e-06, eta: 4:34:07, time: 0.235, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2043, decode.acc_seg: 91.9045, loss: 0.2043 2023-03-04 04:43:19,692 - mmseg - INFO - Iter [101250/160000] lr: 4.687e-06, eta: 4:33:52, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1993, decode.acc_seg: 91.9238, loss: 0.1993 2023-03-04 04:43:31,211 - mmseg - INFO - Iter [101300/160000] lr: 4.687e-06, eta: 4:33:36, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1975, decode.acc_seg: 92.0619, loss: 0.1975 2023-03-04 04:43:42,943 - mmseg - INFO - Iter [101350/160000] lr: 4.687e-06, eta: 4:33:21, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1949, decode.acc_seg: 92.2292, loss: 0.1949 2023-03-04 04:43:54,639 - mmseg - INFO - Iter [101400/160000] lr: 4.687e-06, eta: 4:33:06, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1997, decode.acc_seg: 91.8687, loss: 0.1997 2023-03-04 04:44:06,216 - mmseg - INFO - Iter [101450/160000] lr: 4.687e-06, eta: 4:32:50, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1943, decode.acc_seg: 92.1038, loss: 0.1943 2023-03-04 04:44:17,793 - mmseg - INFO - Iter [101500/160000] lr: 4.687e-06, eta: 4:32:35, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2010, decode.acc_seg: 92.0523, loss: 0.2010 2023-03-04 04:44:29,257 - mmseg - INFO - Iter [101550/160000] lr: 4.687e-06, eta: 4:32:19, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2033, decode.acc_seg: 91.9627, loss: 0.2033 2023-03-04 04:44:43,260 - mmseg - INFO - Iter [101600/160000] lr: 4.687e-06, eta: 4:32:05, time: 0.280, data_time: 0.055, memory: 67409, decode.loss_ce: 0.2015, decode.acc_seg: 91.9323, loss: 0.2015 2023-03-04 04:44:55,022 - mmseg - INFO - Iter [101650/160000] lr: 4.687e-06, eta: 4:31:50, time: 0.235, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1996, decode.acc_seg: 91.9659, loss: 0.1996 2023-03-04 04:45:06,541 - mmseg - INFO - Iter [101700/160000] lr: 4.687e-06, eta: 4:31:35, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1967, decode.acc_seg: 91.9773, loss: 0.1967 2023-03-04 04:45:18,055 - mmseg - INFO - Iter [101750/160000] lr: 4.687e-06, eta: 4:31:19, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1954, decode.acc_seg: 92.0731, loss: 0.1954 2023-03-04 04:45:29,468 - mmseg - INFO - Iter [101800/160000] lr: 4.687e-06, eta: 4:31:04, time: 0.228, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1926, decode.acc_seg: 92.0161, loss: 0.1926 2023-03-04 04:45:40,968 - mmseg - INFO - Iter [101850/160000] lr: 4.687e-06, eta: 4:30:49, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2029, decode.acc_seg: 91.8325, loss: 0.2029 2023-03-04 04:45:52,542 - mmseg - INFO - Iter [101900/160000] lr: 4.687e-06, eta: 4:30:33, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2009, decode.acc_seg: 91.9718, loss: 0.2009 2023-03-04 04:46:03,995 - mmseg - INFO - Iter 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time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1955, decode.acc_seg: 92.1173, loss: 0.1955 2023-03-04 04:47:01,934 - mmseg - INFO - Iter [102200/160000] lr: 4.687e-06, eta: 4:29:01, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1958, decode.acc_seg: 92.0422, loss: 0.1958 2023-03-04 04:47:16,001 - mmseg - INFO - Iter [102250/160000] lr: 4.687e-06, eta: 4:28:47, time: 0.281, data_time: 0.055, memory: 67409, decode.loss_ce: 0.1972, decode.acc_seg: 92.1040, loss: 0.1972 2023-03-04 04:47:27,473 - mmseg - INFO - Iter [102300/160000] lr: 4.687e-06, eta: 4:28:32, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1974, decode.acc_seg: 92.0413, loss: 0.1974 2023-03-04 04:47:38,939 - mmseg - INFO - Iter [102350/160000] lr: 4.687e-06, eta: 4:28:17, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1926, decode.acc_seg: 92.3813, loss: 0.1926 2023-03-04 04:47:50,481 - mmseg - INFO - Iter [102400/160000] lr: 4.687e-06, eta: 4:28:01, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2044, decode.acc_seg: 91.9596, loss: 0.2044 2023-03-04 04:48:02,214 - mmseg - INFO - Iter [102450/160000] lr: 4.687e-06, eta: 4:27:46, time: 0.235, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1998, decode.acc_seg: 91.9907, loss: 0.1998 2023-03-04 04:48:13,912 - mmseg - INFO - Iter [102500/160000] lr: 4.687e-06, eta: 4:27:31, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1963, decode.acc_seg: 92.1025, loss: 0.1963 2023-03-04 04:48:25,669 - mmseg - INFO - Iter [102550/160000] lr: 4.687e-06, eta: 4:27:16, time: 0.235, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2006, decode.acc_seg: 91.9748, loss: 0.2006 2023-03-04 04:48:37,153 - mmseg - INFO - Iter [102600/160000] lr: 4.687e-06, eta: 4:27:00, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1956, decode.acc_seg: 92.2512, loss: 0.1956 2023-03-04 04:48:48,650 - mmseg - INFO - Iter [102650/160000] lr: 4.687e-06, eta: 4:26:45, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1959, decode.acc_seg: 91.9548, loss: 0.1959 2023-03-04 04:49:00,237 - mmseg - INFO - Iter [102700/160000] lr: 4.687e-06, eta: 4:26:30, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1947, decode.acc_seg: 92.1225, loss: 0.1947 2023-03-04 04:49:11,859 - mmseg - INFO - Iter [102750/160000] lr: 4.687e-06, eta: 4:26:15, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2020, decode.acc_seg: 91.8513, loss: 0.2020 2023-03-04 04:49:23,357 - mmseg - INFO - Iter [102800/160000] lr: 4.687e-06, eta: 4:25:59, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1936, decode.acc_seg: 92.0815, loss: 0.1936 2023-03-04 04:49:34,866 - mmseg - INFO - Iter [102850/160000] lr: 4.687e-06, eta: 4:25:44, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2100, decode.acc_seg: 91.7577, loss: 0.2100 2023-03-04 04:49:49,274 - mmseg - INFO - Iter [102900/160000] lr: 4.687e-06, eta: 4:25:30, time: 0.288, data_time: 0.054, memory: 67409, decode.loss_ce: 0.1954, decode.acc_seg: 92.0983, loss: 0.1954 2023-03-04 04:50:01,027 - mmseg - INFO - Iter [102950/160000] lr: 4.687e-06, eta: 4:25:15, time: 0.235, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2038, decode.acc_seg: 91.9421, loss: 0.2038 2023-03-04 04:50:12,584 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 04:50:12,585 - mmseg - INFO - Iter [103000/160000] lr: 4.687e-06, eta: 4:25:00, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1944, decode.acc_seg: 92.0483, loss: 0.1944 2023-03-04 04:50:24,275 - mmseg - INFO - Iter [103050/160000] lr: 4.687e-06, eta: 4:24:45, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1991, decode.acc_seg: 91.9808, loss: 0.1991 2023-03-04 04:50:35,954 - mmseg - INFO - Iter [103100/160000] lr: 4.687e-06, eta: 4:24:29, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1951, decode.acc_seg: 92.1680, loss: 0.1951 2023-03-04 04:50:47,469 - mmseg - INFO - Iter [103150/160000] lr: 4.687e-06, eta: 4:24:14, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1987, decode.acc_seg: 92.0928, loss: 0.1987 2023-03-04 04:50:58,976 - mmseg - INFO - Iter [103200/160000] lr: 4.687e-06, eta: 4:23:59, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1972, decode.acc_seg: 92.1150, loss: 0.1972 2023-03-04 04:51:10,619 - mmseg - INFO - Iter [103250/160000] lr: 4.687e-06, eta: 4:23:44, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1930, decode.acc_seg: 92.1356, loss: 0.1930 2023-03-04 04:51:22,253 - mmseg - INFO - Iter [103300/160000] lr: 4.687e-06, eta: 4:23:28, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1940, decode.acc_seg: 92.2498, loss: 0.1940 2023-03-04 04:51:33,862 - mmseg - INFO - Iter [103350/160000] lr: 4.687e-06, eta: 4:23:13, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2030, decode.acc_seg: 91.9383, loss: 0.2030 2023-03-04 04:51:45,402 - mmseg - INFO - Iter [103400/160000] lr: 4.687e-06, eta: 4:22:58, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1984, decode.acc_seg: 92.0800, loss: 0.1984 2023-03-04 04:51:56,839 - mmseg - INFO - Iter [103450/160000] lr: 4.687e-06, eta: 4:22:43, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1987, decode.acc_seg: 92.0256, loss: 0.1987 2023-03-04 04:52:10,889 - mmseg - INFO - Iter [103500/160000] lr: 4.687e-06, eta: 4:22:29, time: 0.281, data_time: 0.055, memory: 67409, decode.loss_ce: 0.1988, decode.acc_seg: 91.8905, loss: 0.1988 2023-03-04 04:52:22,484 - mmseg - INFO - Iter [103550/160000] lr: 4.687e-06, eta: 4:22:14, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1990, decode.acc_seg: 92.1141, loss: 0.1990 2023-03-04 04:52:34,177 - mmseg - INFO - Iter [103600/160000] lr: 4.687e-06, eta: 4:21:58, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1922, decode.acc_seg: 92.2457, loss: 0.1922 2023-03-04 04:52:45,699 - mmseg - INFO - Iter [103650/160000] lr: 4.687e-06, eta: 4:21:43, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2062, decode.acc_seg: 91.6393, loss: 0.2062 2023-03-04 04:52:57,260 - mmseg - INFO - Iter [103700/160000] lr: 4.687e-06, eta: 4:21:28, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1973, decode.acc_seg: 92.0769, loss: 0.1973 2023-03-04 04:53:08,807 - mmseg - INFO - Iter [103750/160000] lr: 4.687e-06, eta: 4:21:13, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1981, decode.acc_seg: 92.0079, loss: 0.1981 2023-03-04 04:53:20,239 - mmseg - INFO - Iter [103800/160000] lr: 4.687e-06, eta: 4:20:57, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1956, decode.acc_seg: 92.1359, loss: 0.1956 2023-03-04 04:53:31,673 - mmseg - INFO - Iter [103850/160000] lr: 4.687e-06, eta: 4:20:42, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2048, decode.acc_seg: 91.9119, loss: 0.2048 2023-03-04 04:53:43,107 - mmseg - INFO - Iter [103900/160000] lr: 4.687e-06, eta: 4:20:27, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1957, decode.acc_seg: 92.0344, loss: 0.1957 2023-03-04 04:53:54,608 - mmseg - INFO - Iter [103950/160000] lr: 4.687e-06, eta: 4:20:12, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2015, decode.acc_seg: 92.0138, loss: 0.2015 2023-03-04 04:54:06,330 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 04:54:06,331 - mmseg - INFO - Iter [104000/160000] lr: 4.687e-06, eta: 4:19:56, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2017, decode.acc_seg: 91.8811, loss: 0.2017 2023-03-04 04:54:17,854 - mmseg - INFO - Iter [104050/160000] lr: 4.687e-06, eta: 4:19:41, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1916, decode.acc_seg: 92.1773, loss: 0.1916 2023-03-04 04:54:29,492 - mmseg - INFO - Iter [104100/160000] lr: 4.687e-06, eta: 4:19:26, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2055, decode.acc_seg: 91.7766, loss: 0.2055 2023-03-04 04:54:43,562 - mmseg - INFO - Iter [104150/160000] lr: 4.687e-06, eta: 4:19:12, time: 0.282, data_time: 0.053, memory: 67409, decode.loss_ce: 0.1996, decode.acc_seg: 92.1104, loss: 0.1996 2023-03-04 04:54:55,164 - mmseg - INFO - Iter [104200/160000] lr: 4.687e-06, eta: 4:18:57, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1960, decode.acc_seg: 92.1113, loss: 0.1960 2023-03-04 04:55:06,988 - mmseg - INFO - Iter [104250/160000] lr: 4.687e-06, eta: 4:18:42, time: 0.236, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2054, decode.acc_seg: 91.8069, loss: 0.2054 2023-03-04 04:55:18,416 - mmseg - INFO - Iter [104300/160000] lr: 4.687e-06, eta: 4:18:27, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1913, decode.acc_seg: 92.1429, loss: 0.1913 2023-03-04 04:55:29,944 - mmseg - INFO - Iter [104350/160000] lr: 4.687e-06, eta: 4:18:12, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2000, decode.acc_seg: 92.1656, loss: 0.2000 2023-03-04 04:55:41,727 - mmseg - INFO - Iter [104400/160000] lr: 4.687e-06, eta: 4:17:57, time: 0.236, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1938, decode.acc_seg: 92.2515, loss: 0.1938 2023-03-04 04:55:53,155 - mmseg - INFO - Iter [104450/160000] lr: 4.687e-06, eta: 4:17:41, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2014, decode.acc_seg: 91.9568, loss: 0.2014 2023-03-04 04:56:04,587 - mmseg - INFO - Iter [104500/160000] lr: 4.687e-06, eta: 4:17:26, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1937, decode.acc_seg: 92.1683, loss: 0.1937 2023-03-04 04:56:16,069 - mmseg - INFO - Iter [104550/160000] lr: 4.687e-06, eta: 4:17:11, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2049, decode.acc_seg: 91.8233, loss: 0.2049 2023-03-04 04:56:27,593 - mmseg - INFO - Iter [104600/160000] lr: 4.687e-06, eta: 4:16:56, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1962, decode.acc_seg: 92.2150, loss: 0.1962 2023-03-04 04:56:38,989 - mmseg - INFO - Iter [104650/160000] lr: 4.687e-06, eta: 4:16:40, time: 0.228, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1956, decode.acc_seg: 92.1242, loss: 0.1956 2023-03-04 04:56:50,753 - mmseg - INFO - Iter [104700/160000] lr: 4.687e-06, eta: 4:16:25, time: 0.235, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1928, decode.acc_seg: 92.1107, loss: 0.1928 2023-03-04 04:57:04,995 - mmseg - INFO - Iter [104750/160000] lr: 4.687e-06, eta: 4:16:12, time: 0.285, data_time: 0.054, memory: 67409, decode.loss_ce: 0.2008, decode.acc_seg: 91.8898, loss: 0.2008 2023-03-04 04:57:16,513 - mmseg - INFO - Iter [104800/160000] lr: 4.687e-06, eta: 4:15:56, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1915, decode.acc_seg: 92.3690, loss: 0.1915 2023-03-04 04:57:27,980 - mmseg - INFO - Iter [104850/160000] lr: 4.687e-06, eta: 4:15:41, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1939, decode.acc_seg: 92.3307, loss: 0.1939 2023-03-04 04:57:39,445 - mmseg - INFO - Iter [104900/160000] lr: 4.687e-06, eta: 4:15:26, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1894, decode.acc_seg: 92.2906, loss: 0.1894 2023-03-04 04:57:50,974 - mmseg - INFO - Iter [104950/160000] lr: 4.687e-06, eta: 4:15:11, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1988, decode.acc_seg: 91.9803, loss: 0.1988 2023-03-04 04:58:02,468 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 04:58:02,468 - mmseg - INFO - Iter [105000/160000] lr: 4.687e-06, eta: 4:14:56, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1993, decode.acc_seg: 92.0355, loss: 0.1993 2023-03-04 04:58:14,037 - mmseg - INFO - Iter [105050/160000] lr: 4.687e-06, eta: 4:14:41, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2011, decode.acc_seg: 91.9157, loss: 0.2011 2023-03-04 04:58:25,566 - mmseg - INFO - Iter [105100/160000] lr: 4.687e-06, eta: 4:14:25, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1996, decode.acc_seg: 92.0819, loss: 0.1996 2023-03-04 04:58:37,042 - mmseg - INFO - Iter [105150/160000] lr: 4.687e-06, eta: 4:14:10, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1977, decode.acc_seg: 91.9341, loss: 0.1977 2023-03-04 04:58:48,673 - mmseg - INFO - Iter [105200/160000] lr: 4.687e-06, eta: 4:13:55, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1990, decode.acc_seg: 92.0353, loss: 0.1990 2023-03-04 04:59:00,138 - mmseg - INFO - Iter [105250/160000] lr: 4.687e-06, eta: 4:13:40, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1935, decode.acc_seg: 92.0524, loss: 0.1935 2023-03-04 04:59:11,653 - mmseg - INFO - Iter [105300/160000] lr: 4.687e-06, eta: 4:13:25, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2040, decode.acc_seg: 91.8688, loss: 0.2040 2023-03-04 04:59:23,204 - mmseg - INFO - Iter [105350/160000] lr: 4.687e-06, eta: 4:13:10, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1895, decode.acc_seg: 92.2967, loss: 0.1895 2023-03-04 04:59:37,235 - mmseg - INFO - Iter [105400/160000] lr: 4.687e-06, eta: 4:12:56, time: 0.281, data_time: 0.053, memory: 67409, decode.loss_ce: 0.2050, decode.acc_seg: 91.9056, loss: 0.2050 2023-03-04 04:59:48,832 - mmseg - INFO - Iter [105450/160000] lr: 4.687e-06, eta: 4:12:41, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1940, decode.acc_seg: 92.3121, loss: 0.1940 2023-03-04 05:00:00,419 - mmseg - INFO - Iter [105500/160000] lr: 4.687e-06, eta: 4:12:26, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2002, decode.acc_seg: 91.9934, loss: 0.2002 2023-03-04 05:00:12,204 - mmseg - INFO - Iter [105550/160000] lr: 4.687e-06, eta: 4:12:11, time: 0.236, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2047, decode.acc_seg: 91.8626, loss: 0.2047 2023-03-04 05:00:23,687 - mmseg - INFO - Iter [105600/160000] lr: 4.687e-06, eta: 4:11:56, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1948, decode.acc_seg: 92.2310, loss: 0.1948 2023-03-04 05:00:35,523 - mmseg - INFO - Iter [105650/160000] lr: 4.687e-06, eta: 4:11:41, time: 0.237, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1966, decode.acc_seg: 92.1369, loss: 0.1966 2023-03-04 05:00:46,963 - mmseg - INFO - Iter [105700/160000] lr: 4.687e-06, eta: 4:11:26, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1957, decode.acc_seg: 92.0978, loss: 0.1957 2023-03-04 05:00:58,411 - mmseg - INFO - Iter [105750/160000] lr: 4.687e-06, eta: 4:11:10, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1982, decode.acc_seg: 92.1463, loss: 0.1982 2023-03-04 05:01:10,051 - mmseg - INFO - Iter [105800/160000] lr: 4.687e-06, eta: 4:10:55, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1940, decode.acc_seg: 92.1174, loss: 0.1940 2023-03-04 05:01:21,589 - mmseg - INFO - Iter [105850/160000] lr: 4.687e-06, eta: 4:10:40, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2056, decode.acc_seg: 91.7416, loss: 0.2056 2023-03-04 05:01:33,062 - mmseg - INFO - Iter [105900/160000] lr: 4.687e-06, eta: 4:10:25, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2060, decode.acc_seg: 91.7998, loss: 0.2060 2023-03-04 05:01:44,700 - mmseg - INFO - Iter [105950/160000] lr: 4.687e-06, eta: 4:10:10, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1992, decode.acc_seg: 92.1386, loss: 0.1992 2023-03-04 05:01:56,253 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 05:01:56,253 - mmseg - INFO - Iter [106000/160000] lr: 4.687e-06, eta: 4:09:55, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1954, decode.acc_seg: 92.2263, loss: 0.1954 2023-03-04 05:02:10,443 - mmseg - INFO - Iter [106050/160000] lr: 4.687e-06, eta: 4:09:41, time: 0.284, data_time: 0.053, memory: 67409, decode.loss_ce: 0.1937, decode.acc_seg: 92.1653, loss: 0.1937 2023-03-04 05:02:21,974 - mmseg - INFO - Iter [106100/160000] lr: 4.687e-06, eta: 4:09:26, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1934, decode.acc_seg: 92.0703, loss: 0.1934 2023-03-04 05:02:33,698 - mmseg - INFO - Iter [106150/160000] lr: 4.687e-06, eta: 4:09:11, time: 0.235, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1992, decode.acc_seg: 91.9083, loss: 0.1992 2023-03-04 05:02:45,223 - mmseg - INFO - Iter [106200/160000] lr: 4.687e-06, eta: 4:08:56, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1991, decode.acc_seg: 92.1085, loss: 0.1991 2023-03-04 05:02:56,791 - mmseg - INFO - Iter [106250/160000] lr: 4.687e-06, eta: 4:08:41, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1943, decode.acc_seg: 92.1724, loss: 0.1943 2023-03-04 05:03:08,205 - mmseg - INFO - Iter [106300/160000] lr: 4.687e-06, eta: 4:08:26, time: 0.228, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1908, decode.acc_seg: 92.3187, loss: 0.1908 2023-03-04 05:03:19,728 - mmseg - INFO - Iter [106350/160000] lr: 4.687e-06, eta: 4:08:11, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2052, decode.acc_seg: 91.8647, loss: 0.2052 2023-03-04 05:03:31,269 - mmseg - INFO - Iter [106400/160000] lr: 4.687e-06, eta: 4:07:56, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1957, decode.acc_seg: 92.1735, loss: 0.1957 2023-03-04 05:03:43,039 - mmseg - INFO - Iter [106450/160000] lr: 4.687e-06, eta: 4:07:41, time: 0.235, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1971, decode.acc_seg: 92.1225, loss: 0.1971 2023-03-04 05:03:54,716 - mmseg - INFO - Iter [106500/160000] lr: 4.687e-06, eta: 4:07:26, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2011, decode.acc_seg: 92.0275, loss: 0.2011 2023-03-04 05:04:06,445 - mmseg - INFO - Iter [106550/160000] lr: 4.687e-06, eta: 4:07:11, time: 0.235, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2010, decode.acc_seg: 91.9757, loss: 0.2010 2023-03-04 05:04:18,138 - mmseg - INFO - Iter [106600/160000] lr: 4.687e-06, eta: 4:06:56, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2004, decode.acc_seg: 91.8905, loss: 0.2004 2023-03-04 05:04:32,184 - mmseg - INFO - Iter [106650/160000] lr: 4.687e-06, eta: 4:06:42, time: 0.281, data_time: 0.053, memory: 67409, decode.loss_ce: 0.2111, decode.acc_seg: 91.7326, loss: 0.2111 2023-03-04 05:04:43,738 - mmseg - INFO - Iter [106700/160000] lr: 4.687e-06, eta: 4:06:27, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1918, decode.acc_seg: 92.2600, loss: 0.1918 2023-03-04 05:04:55,167 - mmseg - INFO - Iter [106750/160000] lr: 4.687e-06, eta: 4:06:12, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1987, decode.acc_seg: 91.9482, loss: 0.1987 2023-03-04 05:05:06,737 - mmseg - INFO - Iter [106800/160000] lr: 4.687e-06, eta: 4:05:57, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1976, decode.acc_seg: 92.0558, loss: 0.1976 2023-03-04 05:05:18,158 - mmseg - INFO - Iter [106850/160000] lr: 4.687e-06, eta: 4:05:42, time: 0.228, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1949, decode.acc_seg: 92.1282, loss: 0.1949 2023-03-04 05:05:29,734 - mmseg - INFO - Iter [106900/160000] lr: 4.687e-06, eta: 4:05:27, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2091, decode.acc_seg: 91.7326, loss: 0.2091 2023-03-04 05:05:41,428 - mmseg - INFO - Iter [106950/160000] lr: 4.687e-06, eta: 4:05:12, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1973, decode.acc_seg: 92.1329, loss: 0.1973 2023-03-04 05:05:53,012 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 05:05:53,013 - mmseg - INFO - Iter [107000/160000] lr: 4.687e-06, eta: 4:04:57, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1930, decode.acc_seg: 92.3047, loss: 0.1930 2023-03-04 05:06:04,523 - mmseg - INFO - Iter [107050/160000] lr: 4.687e-06, eta: 4:04:42, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1985, decode.acc_seg: 92.0170, loss: 0.1985 2023-03-04 05:06:15,965 - mmseg - INFO - Iter [107100/160000] lr: 4.687e-06, eta: 4:04:27, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1958, decode.acc_seg: 92.1783, loss: 0.1958 2023-03-04 05:06:27,532 - mmseg - INFO - Iter [107150/160000] lr: 4.687e-06, eta: 4:04:12, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1980, decode.acc_seg: 91.9844, loss: 0.1980 2023-03-04 05:06:39,001 - mmseg - INFO - Iter [107200/160000] lr: 4.687e-06, eta: 4:03:57, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1952, decode.acc_seg: 92.1316, loss: 0.1952 2023-03-04 05:06:50,452 - mmseg - INFO - Iter [107250/160000] lr: 4.687e-06, eta: 4:03:42, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1992, decode.acc_seg: 91.9130, loss: 0.1992 2023-03-04 05:07:04,492 - mmseg - INFO - Iter [107300/160000] lr: 4.687e-06, eta: 4:03:28, time: 0.281, data_time: 0.053, memory: 67409, decode.loss_ce: 0.2084, decode.acc_seg: 91.7327, loss: 0.2084 2023-03-04 05:07:16,229 - mmseg - INFO - Iter [107350/160000] lr: 4.687e-06, eta: 4:03:13, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2015, decode.acc_seg: 91.9323, loss: 0.2015 2023-03-04 05:07:27,804 - mmseg - INFO - Iter [107400/160000] lr: 4.687e-06, eta: 4:02:58, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1892, decode.acc_seg: 92.1219, loss: 0.1892 2023-03-04 05:07:39,336 - mmseg - INFO - Iter [107450/160000] lr: 4.687e-06, eta: 4:02:43, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1936, decode.acc_seg: 92.1392, loss: 0.1936 2023-03-04 05:07:50,919 - mmseg - INFO - Iter [107500/160000] lr: 4.687e-06, eta: 4:02:28, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1909, decode.acc_seg: 92.0382, loss: 0.1909 2023-03-04 05:08:02,371 - mmseg - INFO - Iter [107550/160000] lr: 4.687e-06, eta: 4:02:13, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1957, decode.acc_seg: 91.9854, loss: 0.1957 2023-03-04 05:08:14,009 - mmseg - INFO - Iter [107600/160000] lr: 4.687e-06, eta: 4:01:58, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1932, decode.acc_seg: 92.2540, loss: 0.1932 2023-03-04 05:08:25,514 - mmseg - INFO - Iter [107650/160000] lr: 4.687e-06, eta: 4:01:43, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2046, decode.acc_seg: 91.6562, loss: 0.2046 2023-03-04 05:08:37,023 - mmseg - INFO - Iter [107700/160000] lr: 4.687e-06, eta: 4:01:28, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1978, decode.acc_seg: 92.0762, loss: 0.1978 2023-03-04 05:08:48,572 - mmseg - INFO - Iter [107750/160000] lr: 4.687e-06, eta: 4:01:13, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2008, decode.acc_seg: 91.8469, loss: 0.2008 2023-03-04 05:09:00,127 - mmseg - INFO - Iter [107800/160000] lr: 4.687e-06, eta: 4:00:58, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1989, decode.acc_seg: 91.8941, loss: 0.1989 2023-03-04 05:09:11,620 - mmseg - INFO - Iter [107850/160000] lr: 4.687e-06, eta: 4:00:43, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2041, decode.acc_seg: 91.8491, loss: 0.2041 2023-03-04 05:09:23,054 - mmseg - INFO - Iter [107900/160000] lr: 4.687e-06, eta: 4:00:28, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1931, decode.acc_seg: 92.2836, loss: 0.1931 2023-03-04 05:09:37,087 - mmseg - INFO - Iter [107950/160000] lr: 4.687e-06, eta: 4:00:15, time: 0.281, data_time: 0.055, memory: 67409, decode.loss_ce: 0.1961, decode.acc_seg: 91.9083, loss: 0.1961 2023-03-04 05:09:48,685 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 05:09:48,686 - mmseg - INFO - Iter [108000/160000] lr: 4.687e-06, eta: 4:00:00, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1917, decode.acc_seg: 92.2930, loss: 0.1917 2023-03-04 05:10:00,451 - mmseg - INFO - Iter [108050/160000] lr: 4.687e-06, eta: 3:59:45, time: 0.235, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1943, decode.acc_seg: 92.1769, loss: 0.1943 2023-03-04 05:10:12,115 - mmseg - INFO - Iter [108100/160000] lr: 4.687e-06, eta: 3:59:30, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1917, decode.acc_seg: 92.1804, loss: 0.1917 2023-03-04 05:10:23,610 - mmseg - INFO - Iter [108150/160000] lr: 4.687e-06, eta: 3:59:15, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1874, decode.acc_seg: 92.3307, loss: 0.1874 2023-03-04 05:10:35,053 - mmseg - INFO - Iter [108200/160000] lr: 4.687e-06, eta: 3:59:00, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1937, decode.acc_seg: 92.2170, loss: 0.1937 2023-03-04 05:10:46,673 - mmseg - INFO - Iter [108250/160000] lr: 4.687e-06, eta: 3:58:45, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1939, decode.acc_seg: 92.1571, loss: 0.1939 2023-03-04 05:10:58,432 - mmseg - INFO - Iter [108300/160000] lr: 4.687e-06, eta: 3:58:30, time: 0.235, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2155, decode.acc_seg: 91.5233, loss: 0.2155 2023-03-04 05:11:09,886 - mmseg - INFO - Iter [108350/160000] lr: 4.687e-06, eta: 3:58:15, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2043, decode.acc_seg: 91.8428, loss: 0.2043 2023-03-04 05:11:21,357 - mmseg - INFO - Iter [108400/160000] lr: 4.687e-06, eta: 3:58:00, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1951, decode.acc_seg: 92.3305, loss: 0.1951 2023-03-04 05:11:33,160 - mmseg - INFO - Iter [108450/160000] lr: 4.687e-06, eta: 3:57:46, time: 0.236, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1928, decode.acc_seg: 92.2113, loss: 0.1928 2023-03-04 05:11:44,738 - mmseg - INFO - Iter [108500/160000] lr: 4.687e-06, eta: 3:57:31, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2061, decode.acc_seg: 91.8076, loss: 0.2061 2023-03-04 05:11:58,813 - mmseg - INFO - Iter [108550/160000] lr: 4.687e-06, eta: 3:57:17, time: 0.281, data_time: 0.053, memory: 67409, decode.loss_ce: 0.1946, decode.acc_seg: 92.2096, loss: 0.1946 2023-03-04 05:12:10,481 - mmseg - INFO - Iter [108600/160000] lr: 4.687e-06, eta: 3:57:02, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1888, decode.acc_seg: 92.5429, loss: 0.1888 2023-03-04 05:12:21,958 - mmseg - INFO - Iter [108650/160000] lr: 4.687e-06, eta: 3:56:47, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1971, decode.acc_seg: 92.0648, loss: 0.1971 2023-03-04 05:12:33,669 - mmseg - INFO - Iter [108700/160000] lr: 4.687e-06, eta: 3:56:32, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1988, decode.acc_seg: 92.0090, loss: 0.1988 2023-03-04 05:12:45,248 - mmseg - INFO - Iter [108750/160000] lr: 4.687e-06, eta: 3:56:17, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1967, decode.acc_seg: 92.0657, loss: 0.1967 2023-03-04 05:12:56,845 - mmseg - INFO - Iter [108800/160000] lr: 4.687e-06, eta: 3:56:02, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1994, decode.acc_seg: 92.0393, loss: 0.1994 2023-03-04 05:13:08,499 - mmseg - INFO - Iter [108850/160000] lr: 4.687e-06, eta: 3:55:48, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1913, decode.acc_seg: 92.1974, loss: 0.1913 2023-03-04 05:13:20,173 - mmseg - INFO - Iter [108900/160000] lr: 4.687e-06, eta: 3:55:33, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2005, decode.acc_seg: 91.8439, loss: 0.2005 2023-03-04 05:13:31,833 - mmseg - INFO - Iter [108950/160000] lr: 4.687e-06, eta: 3:55:18, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1985, decode.acc_seg: 91.9370, loss: 0.1985 2023-03-04 05:13:43,360 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 05:13:43,360 - mmseg - INFO - Iter [109000/160000] lr: 4.687e-06, eta: 3:55:03, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1959, decode.acc_seg: 92.0683, loss: 0.1959 2023-03-04 05:13:54,990 - mmseg - INFO - Iter [109050/160000] lr: 4.687e-06, eta: 3:54:48, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2000, decode.acc_seg: 91.8473, loss: 0.2000 2023-03-04 05:14:06,480 - mmseg - INFO - Iter [109100/160000] lr: 4.687e-06, eta: 3:54:33, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2005, decode.acc_seg: 91.9998, loss: 0.2005 2023-03-04 05:14:18,055 - mmseg - INFO - Iter [109150/160000] lr: 4.687e-06, eta: 3:54:18, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1941, decode.acc_seg: 92.2229, loss: 0.1941 2023-03-04 05:14:32,190 - mmseg - INFO - Iter [109200/160000] lr: 4.687e-06, eta: 3:54:05, time: 0.283, data_time: 0.056, memory: 67409, decode.loss_ce: 0.1936, decode.acc_seg: 92.1673, loss: 0.1936 2023-03-04 05:14:43,857 - mmseg - INFO - Iter [109250/160000] lr: 4.687e-06, eta: 3:53:50, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1976, decode.acc_seg: 92.0522, loss: 0.1976 2023-03-04 05:14:55,455 - mmseg - INFO - Iter [109300/160000] lr: 4.687e-06, eta: 3:53:35, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1979, decode.acc_seg: 92.0578, loss: 0.1979 2023-03-04 05:15:06,942 - mmseg - INFO - Iter [109350/160000] lr: 4.687e-06, eta: 3:53:20, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1900, decode.acc_seg: 92.3361, loss: 0.1900 2023-03-04 05:15:18,542 - mmseg - INFO - Iter [109400/160000] lr: 4.687e-06, eta: 3:53:05, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1999, decode.acc_seg: 92.1824, loss: 0.1999 2023-03-04 05:15:30,146 - mmseg - INFO - Iter [109450/160000] lr: 4.687e-06, eta: 3:52:50, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2030, decode.acc_seg: 91.8517, loss: 0.2030 2023-03-04 05:15:41,700 - mmseg - INFO - Iter [109500/160000] lr: 4.687e-06, eta: 3:52:36, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2088, decode.acc_seg: 91.6522, loss: 0.2088 2023-03-04 05:15:53,360 - mmseg - INFO - Iter [109550/160000] lr: 4.687e-06, eta: 3:52:21, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1935, decode.acc_seg: 92.1585, loss: 0.1935 2023-03-04 05:16:04,830 - mmseg - INFO - Iter [109600/160000] lr: 4.687e-06, eta: 3:52:06, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2064, decode.acc_seg: 91.7785, loss: 0.2064 2023-03-04 05:16:16,272 - mmseg - INFO - Iter [109650/160000] lr: 4.687e-06, eta: 3:51:51, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1985, decode.acc_seg: 92.0450, loss: 0.1985 2023-03-04 05:16:27,748 - mmseg - INFO - Iter [109700/160000] lr: 4.687e-06, eta: 3:51:36, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2026, decode.acc_seg: 91.8087, loss: 0.2026 2023-03-04 05:16:39,209 - mmseg - INFO - Iter [109750/160000] lr: 4.687e-06, eta: 3:51:21, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2008, decode.acc_seg: 92.1206, loss: 0.2008 2023-03-04 05:16:53,354 - mmseg - INFO - Iter [109800/160000] lr: 4.687e-06, eta: 3:51:07, time: 0.283, data_time: 0.053, memory: 67409, decode.loss_ce: 0.1964, decode.acc_seg: 92.1267, loss: 0.1964 2023-03-04 05:17:04,958 - mmseg - INFO - Iter [109850/160000] lr: 4.687e-06, eta: 3:50:53, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2034, decode.acc_seg: 91.8194, loss: 0.2034 2023-03-04 05:17:16,443 - mmseg - INFO - Iter [109900/160000] lr: 4.687e-06, eta: 3:50:38, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1947, decode.acc_seg: 92.2201, loss: 0.1947 2023-03-04 05:17:28,340 - mmseg - INFO - Iter [109950/160000] lr: 4.687e-06, eta: 3:50:23, time: 0.238, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1910, decode.acc_seg: 92.1822, loss: 0.1910 2023-03-04 05:17:39,846 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 05:17:39,846 - mmseg - INFO - Iter [110000/160000] lr: 4.687e-06, eta: 3:50:08, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1943, decode.acc_seg: 92.2437, loss: 0.1943 2023-03-04 05:17:51,782 - mmseg - INFO - Iter [110050/160000] lr: 4.687e-06, eta: 3:49:54, time: 0.239, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1912, decode.acc_seg: 92.3381, loss: 0.1912 2023-03-04 05:18:03,360 - mmseg - INFO - Iter [110100/160000] lr: 4.687e-06, eta: 3:49:39, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1970, decode.acc_seg: 92.0690, loss: 0.1970 2023-03-04 05:18:14,953 - mmseg - INFO - Iter [110150/160000] lr: 4.687e-06, eta: 3:49:24, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2047, decode.acc_seg: 91.8300, loss: 0.2047 2023-03-04 05:18:26,678 - mmseg - INFO - Iter [110200/160000] lr: 4.687e-06, eta: 3:49:09, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1986, decode.acc_seg: 91.9553, loss: 0.1986 2023-03-04 05:18:38,280 - mmseg - INFO - Iter [110250/160000] lr: 4.687e-06, eta: 3:48:54, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1962, decode.acc_seg: 92.0154, loss: 0.1962 2023-03-04 05:18:50,098 - mmseg - INFO - Iter [110300/160000] lr: 4.687e-06, eta: 3:48:40, time: 0.236, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1963, decode.acc_seg: 92.1380, loss: 0.1963 2023-03-04 05:19:01,572 - mmseg - INFO - Iter [110350/160000] lr: 4.687e-06, eta: 3:48:25, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2006, decode.acc_seg: 92.0224, loss: 0.2006 2023-03-04 05:19:13,148 - mmseg - INFO - Iter [110400/160000] lr: 4.687e-06, eta: 3:48:10, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2031, decode.acc_seg: 91.7840, loss: 0.2031 2023-03-04 05:19:27,328 - mmseg - INFO - Iter [110450/160000] lr: 4.687e-06, eta: 3:47:56, time: 0.284, data_time: 0.059, memory: 67409, decode.loss_ce: 0.1911, decode.acc_seg: 92.1712, loss: 0.1911 2023-03-04 05:19:38,940 - mmseg - INFO - Iter [110500/160000] lr: 4.687e-06, eta: 3:47:42, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1908, decode.acc_seg: 92.3836, loss: 0.1908 2023-03-04 05:19:50,590 - mmseg - INFO - Iter [110550/160000] lr: 4.687e-06, eta: 3:47:27, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1921, decode.acc_seg: 92.1877, loss: 0.1921 2023-03-04 05:20:02,171 - mmseg - INFO - Iter [110600/160000] lr: 4.687e-06, eta: 3:47:12, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2031, decode.acc_seg: 91.9367, loss: 0.2031 2023-03-04 05:20:13,632 - mmseg - INFO - Iter [110650/160000] lr: 4.687e-06, eta: 3:46:57, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2001, decode.acc_seg: 91.9315, loss: 0.2001 2023-03-04 05:20:25,093 - mmseg - INFO - Iter [110700/160000] lr: 4.687e-06, eta: 3:46:42, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2017, decode.acc_seg: 91.9196, loss: 0.2017 2023-03-04 05:20:36,814 - mmseg - INFO - Iter [110750/160000] lr: 4.687e-06, eta: 3:46:28, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2051, decode.acc_seg: 91.7788, loss: 0.2051 2023-03-04 05:20:48,241 - mmseg - INFO - Iter [110800/160000] lr: 4.687e-06, eta: 3:46:13, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2042, decode.acc_seg: 91.9858, loss: 0.2042 2023-03-04 05:20:59,920 - mmseg - INFO - Iter [110850/160000] lr: 4.687e-06, eta: 3:45:58, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1931, decode.acc_seg: 92.1544, loss: 0.1931 2023-03-04 05:21:11,528 - mmseg - INFO - Iter [110900/160000] lr: 4.687e-06, eta: 3:45:43, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2002, decode.acc_seg: 91.9059, loss: 0.2002 2023-03-04 05:21:22,980 - mmseg - INFO - Iter [110950/160000] lr: 4.687e-06, eta: 3:45:29, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1992, decode.acc_seg: 91.9763, loss: 0.1992 2023-03-04 05:21:34,558 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 05:21:34,558 - mmseg - INFO - Iter [111000/160000] lr: 4.687e-06, eta: 3:45:14, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2032, decode.acc_seg: 91.8027, loss: 0.2032 2023-03-04 05:21:45,993 - mmseg - INFO - Iter [111050/160000] lr: 4.687e-06, eta: 3:44:59, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1966, decode.acc_seg: 92.1962, loss: 0.1966 2023-03-04 05:22:00,128 - mmseg - INFO - Iter [111100/160000] lr: 4.687e-06, eta: 3:44:45, time: 0.283, data_time: 0.057, memory: 67409, decode.loss_ce: 0.1909, decode.acc_seg: 92.2560, loss: 0.1909 2023-03-04 05:22:11,813 - mmseg - INFO - Iter [111150/160000] lr: 4.687e-06, eta: 3:44:31, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1878, decode.acc_seg: 92.3821, loss: 0.1878 2023-03-04 05:22:23,509 - mmseg - INFO - Iter [111200/160000] lr: 4.687e-06, eta: 3:44:16, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1969, decode.acc_seg: 92.0850, loss: 0.1969 2023-03-04 05:22:35,024 - mmseg - INFO - Iter [111250/160000] lr: 4.687e-06, eta: 3:44:01, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1946, decode.acc_seg: 92.0476, loss: 0.1946 2023-03-04 05:22:46,640 - mmseg - INFO - Iter [111300/160000] lr: 4.687e-06, eta: 3:43:46, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1985, decode.acc_seg: 91.9062, loss: 0.1985 2023-03-04 05:22:58,208 - mmseg - INFO - Iter [111350/160000] lr: 4.687e-06, eta: 3:43:32, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1991, decode.acc_seg: 91.9987, loss: 0.1991 2023-03-04 05:23:09,937 - mmseg - INFO - Iter [111400/160000] lr: 4.687e-06, eta: 3:43:17, time: 0.235, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2081, decode.acc_seg: 91.6409, loss: 0.2081 2023-03-04 05:23:21,384 - mmseg - INFO - Iter [111450/160000] lr: 4.687e-06, eta: 3:43:02, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1952, decode.acc_seg: 92.2869, loss: 0.1952 2023-03-04 05:23:32,866 - mmseg - INFO - Iter [111500/160000] lr: 4.687e-06, eta: 3:42:47, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1991, decode.acc_seg: 92.0305, loss: 0.1991 2023-03-04 05:23:44,760 - mmseg - INFO - Iter [111550/160000] lr: 4.687e-06, eta: 3:42:33, time: 0.238, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1941, decode.acc_seg: 92.2074, loss: 0.1941 2023-03-04 05:23:56,428 - mmseg - INFO - Iter [111600/160000] lr: 4.687e-06, eta: 3:42:18, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1928, decode.acc_seg: 92.2579, loss: 0.1928 2023-03-04 05:24:08,001 - mmseg - INFO - Iter [111650/160000] lr: 4.687e-06, eta: 3:42:03, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2009, decode.acc_seg: 91.8768, loss: 0.2009 2023-03-04 05:24:22,204 - mmseg - INFO - Iter [111700/160000] lr: 4.687e-06, eta: 3:41:50, time: 0.284, data_time: 0.053, memory: 67409, decode.loss_ce: 0.2048, decode.acc_seg: 91.8374, loss: 0.2048 2023-03-04 05:24:33,769 - mmseg - INFO - Iter [111750/160000] lr: 4.687e-06, eta: 3:41:35, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1976, decode.acc_seg: 91.9156, loss: 0.1976 2023-03-04 05:24:45,363 - mmseg - INFO - Iter [111800/160000] lr: 4.687e-06, eta: 3:41:20, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1977, decode.acc_seg: 91.9411, loss: 0.1977 2023-03-04 05:24:57,041 - mmseg - INFO - Iter [111850/160000] lr: 4.687e-06, eta: 3:41:06, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2058, decode.acc_seg: 91.7199, loss: 0.2058 2023-03-04 05:25:08,667 - mmseg - INFO - Iter [111900/160000] lr: 4.687e-06, eta: 3:40:51, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1979, decode.acc_seg: 92.0841, loss: 0.1979 2023-03-04 05:25:20,152 - mmseg - INFO - Iter [111950/160000] lr: 4.687e-06, eta: 3:40:36, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1869, decode.acc_seg: 92.3919, loss: 0.1869 2023-03-04 05:25:31,721 - mmseg - INFO - Swap parameters (after train) after iter [112000] 2023-03-04 05:25:31,736 - mmseg - INFO - Saving checkpoint at 112000 iterations 2023-03-04 05:25:33,148 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 05:25:33,148 - mmseg - INFO - Iter [112000/160000] lr: 4.687e-06, eta: 3:40:22, time: 0.260, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1968, decode.acc_seg: 91.9641, loss: 0.1968 2023-03-04 05:36:33,788 - mmseg - INFO - per class results: 2023-03-04 05:36:33,798 - mmseg - INFO - +---------------------+-------------------------------------------------------------------+ | Class | IoU 0,10,20,30,40,50,60,70,80,90,99 | +---------------------+-------------------------------------------------------------------+ | background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | | wall | 76.18,76.22,76.23,76.26,76.25,76.27,76.28,76.29,76.28,76.28,76.31 | | building | 82.58,82.61,82.63,82.62,82.64,82.65,82.64,82.66,82.67,82.68,82.66 | | sky | 94.16,94.16,94.16,94.17,94.16,94.17,94.17,94.17,94.17,94.18,94.17 | | floor | 78.96,78.98,78.98,79.04,79.02,79.04,79.05,79.06,79.09,79.08,79.05 | | tree | 73.33,73.37,73.38,73.4,73.42,73.42,73.42,73.43,73.45,73.47,73.5 | | ceiling | 82.66,82.68,82.69,82.7,82.68,82.7,82.68,82.7,82.69,82.67,82.68 | | road | 81.01,81.03,81.04,81.1,81.07,81.08,81.1,81.12,81.15,81.15,81.1 | | bed | 88.01,88.01,88.04,88.05,88.08,88.08,88.09,88.09,88.1,88.12,88.14 | | windowpane | 59.64,59.64,59.67,59.68,59.71,59.7,59.7,59.72,59.78,59.84,59.86 | | grass | 65.08,65.05,65.06,65.04,65.1,65.1,65.26,65.42,65.42,65.45,65.47 | | cabinet | 59.89,59.9,60.03,60.18,60.3,60.35,60.44,60.43,60.36,60.36,60.47 | | sidewalk | 64.73,64.8,64.81,64.9,64.88,64.88,64.91,64.93,64.95,64.92,64.89 | | person | 78.56,78.56,78.58,78.57,78.57,78.58,78.57,78.56,78.54,78.57,78.56 | | earth | 31.55,31.31,31.26,31.18,31.08,31.04,31.03,31.06,30.95,30.95,30.94 | | door | 46.33,46.41,46.39,46.49,46.52,46.64,46.62,46.63,46.63,46.72,46.98 | | table | 60.59,60.58,60.58,60.56,60.65,60.62,60.66,60.65,60.68,60.67,60.75 | | mountain | 52.12,52.09,52.16,52.21,52.19,52.17,52.23,52.19,52.16,52.16,52.3 | | plant | 51.45,51.55,51.58,51.6,51.73,51.7,51.7,51.78,51.8,51.8,51.81 | | curtain | 72.15,72.17,72.24,72.24,72.24,72.25,72.31,72.27,72.31,72.29,72.22 | | chair | 55.76,55.71,55.69,55.68,55.74,55.75,55.74,55.71,55.72,55.71,55.66 | | car | 81.71,81.7,81.64,81.68,81.65,81.67,81.66,81.64,81.59,81.56,81.53 | | water | 45.19,45.17,45.13,45.15,45.11,45.14,45.08,45.07,45.05,45.03,45.08 | | painting | 70.98,71.0,71.02,71.15,71.23,71.25,71.24,71.28,71.39,71.33,71.49 | | sofa | 64.61,64.56,64.69,64.73,64.82,64.78,64.79,64.76,64.78,64.78,64.93 | | shelf | 40.58,40.63,40.71,40.72,40.81,40.75,40.84,40.73,40.66,40.58,40.67 | | house | 46.19,46.28,46.36,46.34,46.45,46.45,46.5,46.54,46.57,46.59,46.64 | | sea | 42.91,42.92,42.93,42.92,42.92,42.95,42.9,42.88,42.89,42.86,42.82 | | mirror | 63.76,63.78,63.85,63.85,63.86,63.95,63.95,63.93,63.92,63.87,63.92 | | rug | 55.5,55.51,55.49,55.96,55.88,56.03,56.04,56.06,56.13,55.95,55.92 | | field | 23.03,22.99,22.96,22.97,22.98,22.94,22.94,23.0,22.94,22.93,23.02 | | armchair | 43.62,43.6,43.7,43.71,43.9,43.83,43.82,43.69,43.62,43.65,43.96 | | seat | 57.99,58.0,58.04,57.95,58.01,57.95,57.95,57.93,57.94,57.94,58.05 | | fence | 35.38,35.65,35.79,35.82,35.97,35.95,36.0,36.06,36.11,36.13,36.21 | | desk | 48.92,48.9,48.87,48.71,48.74,48.71,48.72,48.69,48.71,48.72,48.71 | | rock | 30.12,30.12,30.14,30.29,30.42,30.49,30.47,30.42,30.52,30.5,30.82 | | wardrobe | 44.5,44.5,44.61,44.75,45.06,45.09,45.33,45.3,45.3,45.26,45.39 | | lamp | 63.43,63.43,63.49,63.49,63.53,63.53,63.56,63.55,63.59,63.59,63.56 | | bathtub | 76.85,77.1,76.97,77.18,77.03,77.22,77.25,77.42,77.4,77.43,77.43 | | railing | 29.01,29.0,28.98,29.01,28.98,29.02,29.04,29.02,29.13,29.05,28.97 | | cushion | 54.38,54.39,54.44,54.46,54.53,54.65,54.58,54.54,54.7,54.76,54.64 | | base | 21.12,21.17,21.34,21.33,21.39,21.47,21.56,21.56,21.58,21.61,21.65 | | box | 22.34,22.26,22.39,22.39,22.45,22.41,22.36,22.39,22.45,22.39,22.63 | | column | 45.37,45.41,45.56,45.6,45.56,45.61,45.67,45.7,45.64,45.74,45.71 | | signboard | 36.22,36.26,36.24,36.34,36.36,36.41,36.49,36.54,36.55,36.59,36.65 | | chest of drawers | 38.16,38.15,38.13,38.18,38.19,38.28,38.33,38.0,37.94,37.75,37.86 | | counter | 25.56,25.31,25.0,24.92,24.56,24.61,24.34,24.35,24.16,24.06,24.11 | | sand | 31.02,30.76,30.48,30.37,30.1,30.11,29.94,29.95,29.79,29.78,29.7 | | sink | 68.73,68.83,68.78,68.85,68.82,68.8,68.86,68.98,69.01,69.01,68.96 | | skyscraper | 59.96,60.11,60.32,59.83,60.01,60.14,60.14,60.35,59.74,59.95,60.08 | | fireplace | 70.85,70.83,70.73,70.64,70.65,70.56,70.54,70.5,70.54,70.5,70.5 | | refrigerator | 71.61,71.7,71.77,71.9,71.98,71.92,71.94,72.02,72.1,72.1,72.29 | | grandstand | 39.05,39.03,38.9,38.81,38.59,38.84,38.68,38.57,38.63,38.49,38.55 | | path | 16.34,16.52,16.55,16.56,16.96,16.99,17.03,17.08,17.18,17.28,17.31 | | stairs | 30.3,30.31,30.24,30.35,30.25,30.32,30.3,30.26,30.23,30.29,30.34 | | runway | 60.98,61.07,61.21,61.26,61.4,61.48,61.58,61.66,61.74,61.81,61.89 | | case | 44.97,44.94,44.98,44.84,44.76,44.68,44.63,44.48,44.52,44.46,44.5 | | pool table | 91.73,91.7,91.72,91.73,91.72,91.77,91.72,91.69,91.69,91.68,91.78 | | pillow | 55.7,55.83,55.86,55.83,55.84,55.87,55.77,55.84,55.81,55.86,55.77 | | screen door | 68.7,69.21,69.69,69.57,69.58,69.77,69.95,70.0,69.87,69.78,69.64 | | stairway | 31.86,31.86,31.83,31.74,31.59,31.6,31.53,31.52,31.38,31.37,31.26 | | river | 12.1,12.11,12.11,12.11,12.1,12.09,12.09,12.08,12.08,12.06,12.06 | | bridge | 63.54,63.69,63.68,63.72,63.57,63.53,63.58,63.61,63.61,63.72,63.38 | | bookcase | 40.0,40.0,40.08,40.02,40.08,39.97,40.02,39.91,39.69,39.54,39.77 | | blind | 40.48,40.52,40.66,40.51,40.65,40.47,40.3,40.2,40.33,40.49,39.8 | | coffee table | 58.11,58.05,58.16,58.23,58.24,58.2,58.3,58.33,58.39,58.44,58.85 | | toilet | 86.03,86.04,86.05,86.02,86.06,86.04,85.99,85.98,86.02,85.99,85.95 | | flower | 34.0,33.95,33.96,33.97,33.91,33.93,33.89,33.94,33.93,33.94,33.97 | | book | 45.79,45.87,45.91,45.95,46.12,46.11,46.2,46.2,46.24,46.21,46.47 | | hill | 4.22,4.2,4.25,4.3,4.32,4.32,4.43,4.4,4.44,4.47,4.7 | | bench | 37.33,37.42,37.4,37.42,37.51,37.55,37.64,37.58,37.8,37.8,37.65 | | countertop | 56.59,56.63,56.79,57.02,56.71,56.72,57.12,56.88,57.12,57.11,57.12 | | stove | 72.43,72.27,72.4,72.32,72.41,72.3,72.3,72.17,72.24,72.06,72.67 | | palm | 50.57,50.58,50.57,50.58,50.66,50.57,50.63,50.69,50.65,50.77,50.6 | | kitchen island | 47.06,47.06,47.0,47.02,46.93,46.97,46.99,46.97,46.93,46.9,46.83 | | computer | 55.58,55.54,55.6,55.66,55.51,55.52,55.44,55.46,55.47,55.42,55.48 | | swivel chair | 44.57,44.55,44.52,44.62,44.46,44.54,44.57,44.66,44.6,44.62,44.76 | | boat | 48.74,48.64,48.72,48.66,48.55,48.6,48.55,48.81,48.63,48.76,48.94 | | bar | 24.0,23.96,23.98,23.97,24.08,24.06,24.1,24.16,24.18,24.26,24.2 | | arcade machine | 25.34,25.41,25.26,25.55,25.75,25.44,25.46,25.71,25.26,25.51,25.31 | | hovel | 37.9,38.03,38.11,38.24,38.09,38.25,38.18,38.25,38.24,38.08,38.28 | | bus | 79.17,79.1,79.13,79.1,79.14,79.1,79.05,78.96,78.95,78.86,78.77 | | towel | 56.65,56.72,56.64,56.73,56.73,56.67,56.68,56.68,56.75,56.83,56.67 | | light | 54.98,54.91,54.89,54.9,54.79,54.77,54.74,54.69,54.69,54.62,54.51 | | truck | 33.65,33.6,33.63,33.76,33.9,33.8,33.86,33.92,33.82,33.75,33.78 | | tower | 31.08,31.11,31.05,30.94,31.16,31.12,31.04,30.89,30.96,30.9,30.81 | | chandelier | 68.2,68.13,68.25,68.23,68.28,68.3,68.3,68.38,68.36,68.36,68.44 | | awning | 24.03,23.93,23.94,23.99,23.89,23.99,23.83,23.84,24.01,24.18,23.78 | | streetlight | 26.54,26.49,26.61,26.54,26.6,26.6,26.62,26.63,26.61,26.6,26.58 | | booth | 42.14,42.1,42.3,42.54,42.4,42.77,42.53,42.71,42.6,42.75,43.72 | | television receiver | 67.58,67.52,67.49,67.51,67.42,67.46,67.28,67.33,67.24,67.24,67.46 | | airplane | 51.34,51.29,51.23,51.15,51.2,51.02,51.11,51.14,51.15,51.13,51.22 | | dirt track | 3.49,3.5,3.47,3.49,3.46,3.47,3.44,3.44,3.41,3.36,3.39 | | apparel | 27.94,28.0,28.0,28.07,28.19,28.23,28.28,28.26,28.3,28.42,28.41 | | pole | 23.96,23.97,24.0,23.94,23.95,23.96,23.87,23.9,23.81,23.83,23.71 | | land | 0.71,0.68,0.71,0.68,0.68,0.66,0.66,0.66,0.67,0.67,0.67 | | bannister | 9.18,9.39,9.38,9.5,9.52,9.65,9.73,9.79,9.89,10.0,9.9 | | escalator | 21.64,21.65,21.61,21.48,21.51,21.5,21.46,21.51,21.51,21.37,21.37 | | ottoman | 43.79,43.82,43.85,43.76,44.01,43.71,43.74,43.45,43.59,43.51,43.34 | | bottle | 12.51,12.53,12.52,12.53,12.58,12.64,12.7,12.67,12.75,12.74,12.72 | | buffet | 34.3,34.27,34.32,34.32,34.36,34.34,34.34,34.29,34.35,34.33,34.3 | | poster | 25.78,25.88,25.77,26.06,26.21,26.34,26.12,26.42,26.47,26.57,26.34 | | stage | 11.37,11.48,11.37,11.34,11.17,10.93,10.74,10.59,10.35,10.21,10.35 | | van | 42.67,42.72,42.47,42.78,42.42,42.85,42.94,42.57,42.42,42.47,43.0 | | ship | 72.93,73.09,73.17,73.67,73.52,73.91,73.98,74.16,74.08,74.29,74.39 | | fountain | 0.45,0.47,0.51,0.52,0.51,0.52,0.57,0.58,0.61,0.62,0.62 | | conveyer belt | 61.6,61.41,61.42,61.51,61.86,61.66,61.45,61.63,61.65,61.45,61.86 | | canopy | 16.22,16.35,16.4,16.47,16.48,16.53,16.61,16.62,16.66,16.68,16.66 | | washer | 64.25,64.21,64.19,64.2,64.1,64.1,63.97,63.93,63.82,63.79,63.99 | | plaything | 24.15,24.14,24.2,24.37,24.32,24.41,24.5,24.38,24.53,24.57,24.52 | | swimming pool | 28.11,28.14,28.15,28.14,28.15,28.17,28.19,28.22,28.22,28.31,28.3 | | stool | 42.79,42.83,42.98,42.97,42.89,42.91,43.01,42.91,42.95,42.98,43.08 | | barrel | 41.44,41.56,41.14,40.83,40.46,40.08,39.67,39.06,38.69,38.34,38.18 | | basket | 20.97,20.89,20.8,20.76,20.69,20.61,20.5,20.47,20.39,20.37,20.33 | | waterfall | 50.2,50.39,49.64,50.38,49.07,49.24,48.71,48.67,48.93,48.87,48.81 | | tent | 91.87,91.72,91.62,91.55,91.42,91.26,91.18,91.14,91.07,91.04,91.03 | | bag | 9.77,9.8,9.75,9.76,9.65,9.62,9.67,9.58,9.5,9.42,9.38 | | minibike | 51.16,51.13,51.08,50.89,50.46,51.09,51.0,50.98,50.8,50.57,50.64 | | cradle | 75.9,75.86,75.94,75.94,75.98,75.99,76.02,76.0,76.04,76.04,76.12 | | oven | 22.46,22.54,22.12,22.01,22.09,21.88,21.83,21.75,21.71,21.54,20.53 | | ball | 46.37,46.52,46.59,46.57,46.63,46.68,46.64,46.75,46.82,46.83,46.65 | | food | 47.87,47.75,47.5,47.53,47.28,47.2,47.05,46.94,46.82,46.7,46.49 | | step | 5.51,5.32,5.29,5.39,5.3,5.2,5.17,5.15,5.12,5.08,5.08 | | tank | 47.5,47.53,47.49,47.55,47.56,47.52,47.53,47.51,47.49,47.45,47.41 | | trade name | 20.42,20.36,20.37,20.39,20.2,20.28,20.24,20.33,20.31,20.28,20.28 | | microwave | 39.29,39.24,39.21,39.14,39.11,39.09,39.05,39.03,38.94,38.73,38.62 | | pot | 37.29,37.32,37.22,37.27,37.29,37.21,37.33,37.23,37.16,37.08,37.15 | | animal | 51.94,52.05,52.02,52.16,52.08,52.13,52.13,52.12,52.08,52.1,52.29 | | bicycle | 45.16,45.18,45.23,45.2,45.12,45.12,45.15,45.19,45.1,45.08,45.12 | | lake | 60.29,60.26,60.18,60.2,60.07,59.96,60.09,59.91,59.8,59.83,60.17 | | dishwasher | 72.3,72.37,72.15,72.27,71.94,72.02,72.11,71.98,71.98,71.99,71.59 | | screen | 55.89,55.78,55.56,55.35,55.3,55.21,55.11,54.93,55.0,55.07,54.97 | | blanket | 6.48,6.58,6.52,6.55,6.6,6.55,6.57,6.57,6.63,6.66,6.72 | | sculpture | 42.33,42.11,42.09,41.96,41.66,41.46,41.35,41.24,41.16,40.99,40.76 | | hood | 60.94,60.93,61.11,61.13,61.13,61.09,61.18,61.2,61.2,61.23,61.13 | | sconce | 42.14,42.08,42.18,42.13,42.33,42.2,42.25,42.27,42.27,42.41,42.43 | | vase | 32.55,32.71,32.66,32.68,32.72,32.78,32.82,32.85,32.82,32.91,33.02 | | traffic light | 28.37,28.2,28.14,28.13,28.08,27.94,28.14,28.01,27.96,27.97,27.71 | | tray | 5.37,5.34,5.48,5.53,5.57,5.64,5.78,5.96,5.9,6.0,6.01 | | ashcan | 42.5,42.5,42.65,42.8,42.82,42.91,42.83,43.0,43.11,43.16,43.22 | | fan | 57.64,57.59,57.75,57.73,57.73,57.49,57.63,57.64,57.61,57.7,57.41 | | pier | 20.23,20.14,19.81,19.9,19.66,19.38,19.39,19.27,19.13,19.13,18.96 | | crt screen | 5.95,5.98,6.04,6.03,6.11,6.19,6.23,6.27,6.39,6.61,6.52 | | plate | 40.4,40.33,40.61,40.44,40.5,41.12,40.92,41.02,40.59,40.42,41.23 | | monitor | 63.09,63.1,63.35,63.2,63.31,63.16,63.03,63.09,62.98,62.86,63.2 | | bulletin board | 36.26,37.0,37.09,37.55,37.64,37.76,38.15,38.22,38.33,38.5,38.52 | | shower | 0.82,0.77,0.84,0.69,0.73,0.8,0.83,0.75,0.78,0.85,0.8 | | radiator | 41.63,41.73,41.82,41.62,41.62,41.61,41.53,41.17,41.06,41.05,41.48 | | glass | 9.76,9.79,9.74,9.69,9.67,9.61,9.56,9.53,9.47,9.47,9.47 | | clock | 19.3,19.34,19.03,19.08,18.82,18.55,18.52,18.06,18.06,17.91,17.93 | | flag | 40.49,40.56,40.38,40.66,40.62,40.64,40.53,40.5,40.51,40.49,40.58 | +---------------------+-------------------------------------------------------------------+ 2023-03-04 05:36:33,798 - mmseg - INFO - Summary: 2023-03-04 05:36:33,798 - mmseg - INFO - +------------------------------------------------------------------+ | mIoU 0,10,20,30,40,50,60,70,80,90,99 | +------------------------------------------------------------------+ | 45.21,45.22,45.23,45.25,45.23,45.24,45.23,45.22,45.21,45.2,45.23 | +------------------------------------------------------------------+ 2023-03-04 05:36:33,798 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 05:36:33,798 - mmseg - INFO - Iter(val) [250] mIoU: [0.4521, 0.4522, 0.4523, 0.4525, 0.4523, 0.4524, 0.4523, 0.4522, 0.4521, 0.452, 0.4523], copy_paste: 45.21,45.22,45.23,45.25,45.23,45.24,45.23,45.22,45.21,45.2,45.23 2023-03-04 05:36:33,804 - mmseg - INFO - Swap parameters (before train) before iter [112001] 2023-03-04 05:36:46,066 - mmseg - INFO - Iter [112050/160000] lr: 4.687e-06, eta: 3:44:50, time: 13.458, data_time: 13.220, memory: 67409, decode.loss_ce: 0.1930, decode.acc_seg: 92.3412, loss: 0.1930 2023-03-04 05:36:57,716 - mmseg - INFO - Iter [112100/160000] lr: 4.687e-06, eta: 3:44:35, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1981, decode.acc_seg: 92.1021, loss: 0.1981 2023-03-04 05:37:09,648 - mmseg - INFO - Iter [112150/160000] lr: 4.687e-06, eta: 3:44:20, time: 0.239, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1983, decode.acc_seg: 92.1562, loss: 0.1983 2023-03-04 05:37:21,178 - mmseg - INFO - Iter [112200/160000] lr: 4.687e-06, eta: 3:44:05, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1924, decode.acc_seg: 92.3705, loss: 0.1924 2023-03-04 05:37:32,650 - mmseg - INFO - Iter [112250/160000] lr: 4.687e-06, eta: 3:43:50, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2028, decode.acc_seg: 91.9687, loss: 0.2028 2023-03-04 05:37:44,249 - mmseg - INFO - Iter [112300/160000] lr: 4.687e-06, eta: 3:43:35, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1953, decode.acc_seg: 92.1122, loss: 0.1953 2023-03-04 05:37:58,551 - mmseg - INFO - Iter [112350/160000] lr: 4.687e-06, eta: 3:43:21, time: 0.286, data_time: 0.053, memory: 67409, decode.loss_ce: 0.1899, decode.acc_seg: 92.3650, loss: 0.1899 2023-03-04 05:38:10,051 - mmseg - INFO - Iter [112400/160000] lr: 4.687e-06, eta: 3:43:06, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1968, decode.acc_seg: 91.9569, loss: 0.1968 2023-03-04 05:38:21,583 - mmseg - INFO - Iter [112450/160000] lr: 4.687e-06, eta: 3:42:51, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1970, decode.acc_seg: 92.1411, loss: 0.1970 2023-03-04 05:38:33,055 - mmseg - INFO - Iter [112500/160000] lr: 4.687e-06, eta: 3:42:35, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1949, decode.acc_seg: 92.3246, loss: 0.1949 2023-03-04 05:38:44,516 - mmseg - INFO - Iter [112550/160000] lr: 4.687e-06, eta: 3:42:20, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1975, decode.acc_seg: 92.0240, loss: 0.1975 2023-03-04 05:38:56,046 - mmseg - INFO - Iter [112600/160000] lr: 4.687e-06, eta: 3:42:05, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1991, decode.acc_seg: 91.9341, loss: 0.1991 2023-03-04 05:39:07,535 - mmseg - INFO - Iter [112650/160000] lr: 4.687e-06, eta: 3:41:50, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1951, decode.acc_seg: 92.0635, loss: 0.1951 2023-03-04 05:39:19,050 - mmseg - INFO - Iter [112700/160000] lr: 4.687e-06, eta: 3:41:35, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2016, decode.acc_seg: 91.8247, loss: 0.2016 2023-03-04 05:39:30,610 - mmseg - INFO - Iter [112750/160000] lr: 4.687e-06, eta: 3:41:20, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1949, decode.acc_seg: 92.0681, loss: 0.1949 2023-03-04 05:39:42,040 - mmseg - INFO - Iter [112800/160000] lr: 4.687e-06, eta: 3:41:05, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1945, decode.acc_seg: 92.0696, loss: 0.1945 2023-03-04 05:39:53,582 - mmseg - INFO - Iter [112850/160000] lr: 4.687e-06, eta: 3:40:50, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2121, decode.acc_seg: 91.7277, loss: 0.2121 2023-03-04 05:40:05,234 - mmseg - INFO - Iter [112900/160000] lr: 4.687e-06, eta: 3:40:34, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2052, decode.acc_seg: 91.7367, loss: 0.2052 2023-03-04 05:40:19,258 - mmseg - INFO - Iter [112950/160000] lr: 4.687e-06, eta: 3:40:20, time: 0.280, data_time: 0.053, memory: 67409, decode.loss_ce: 0.2000, decode.acc_seg: 91.9874, loss: 0.2000 2023-03-04 05:40:30,795 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 05:40:30,795 - mmseg - INFO - Iter [113000/160000] lr: 4.687e-06, eta: 3:40:05, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1933, decode.acc_seg: 92.0945, loss: 0.1933 2023-03-04 05:40:42,429 - mmseg - INFO - Iter [113050/160000] lr: 4.687e-06, eta: 3:39:50, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1938, decode.acc_seg: 92.2680, loss: 0.1938 2023-03-04 05:40:54,064 - mmseg - INFO - Iter [113100/160000] lr: 4.687e-06, eta: 3:39:35, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2033, decode.acc_seg: 91.8279, loss: 0.2033 2023-03-04 05:41:05,666 - mmseg - INFO - Iter [113150/160000] lr: 4.687e-06, eta: 3:39:20, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2074, decode.acc_seg: 91.7598, loss: 0.2074 2023-03-04 05:41:17,200 - mmseg - INFO - Iter [113200/160000] lr: 4.687e-06, eta: 3:39:05, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1939, decode.acc_seg: 92.4145, loss: 0.1939 2023-03-04 05:41:28,797 - mmseg - INFO - Iter [113250/160000] lr: 4.687e-06, eta: 3:38:50, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2007, decode.acc_seg: 92.0327, loss: 0.2007 2023-03-04 05:41:40,297 - mmseg - INFO - Iter [113300/160000] lr: 4.687e-06, eta: 3:38:35, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1952, decode.acc_seg: 92.1233, loss: 0.1952 2023-03-04 05:41:52,127 - mmseg - INFO - Iter [113350/160000] lr: 4.687e-06, eta: 3:38:20, time: 0.237, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1934, decode.acc_seg: 92.1748, loss: 0.1934 2023-03-04 05:42:03,628 - mmseg - INFO - Iter [113400/160000] lr: 4.687e-06, eta: 3:38:05, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2006, decode.acc_seg: 91.8109, loss: 0.2006 2023-03-04 05:42:15,094 - mmseg - INFO - Iter [113450/160000] lr: 4.687e-06, eta: 3:37:50, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2002, decode.acc_seg: 91.9921, loss: 0.2002 2023-03-04 05:42:26,605 - mmseg - INFO - Iter [113500/160000] lr: 4.687e-06, eta: 3:37:35, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1998, decode.acc_seg: 92.0260, loss: 0.1998 2023-03-04 05:42:38,095 - mmseg - INFO - Iter [113550/160000] lr: 4.687e-06, eta: 3:37:20, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1979, decode.acc_seg: 92.1071, loss: 0.1979 2023-03-04 05:42:52,103 - mmseg - INFO - Iter [113600/160000] lr: 4.687e-06, eta: 3:37:06, time: 0.280, data_time: 0.053, memory: 67409, decode.loss_ce: 0.1971, decode.acc_seg: 92.2400, loss: 0.1971 2023-03-04 05:43:03,564 - mmseg - INFO - Iter [113650/160000] lr: 4.687e-06, eta: 3:36:51, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1938, decode.acc_seg: 92.0143, loss: 0.1938 2023-03-04 05:43:15,025 - mmseg - INFO - Iter [113700/160000] lr: 4.687e-06, eta: 3:36:35, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1958, decode.acc_seg: 92.0266, loss: 0.1958 2023-03-04 05:43:26,636 - mmseg - INFO - Iter [113750/160000] lr: 4.687e-06, eta: 3:36:20, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2014, decode.acc_seg: 91.9350, loss: 0.2014 2023-03-04 05:43:38,096 - mmseg - INFO - Iter [113800/160000] lr: 4.687e-06, eta: 3:36:05, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2041, decode.acc_seg: 91.8325, loss: 0.2041 2023-03-04 05:43:49,548 - mmseg - INFO - Iter [113850/160000] lr: 4.687e-06, eta: 3:35:50, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1952, decode.acc_seg: 92.0951, loss: 0.1952 2023-03-04 05:44:01,308 - mmseg - INFO - Iter [113900/160000] lr: 4.687e-06, eta: 3:35:35, time: 0.235, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1967, decode.acc_seg: 92.1549, loss: 0.1967 2023-03-04 05:44:12,811 - mmseg - INFO - Iter [113950/160000] lr: 4.687e-06, eta: 3:35:20, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1966, decode.acc_seg: 92.1139, loss: 0.1966 2023-03-04 05:44:24,542 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 05:44:24,542 - mmseg - INFO - Iter [114000/160000] lr: 4.687e-06, eta: 3:35:05, time: 0.235, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2109, decode.acc_seg: 91.6465, loss: 0.2109 2023-03-04 05:44:36,018 - mmseg - INFO - Iter [114050/160000] lr: 4.687e-06, eta: 3:34:50, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1941, decode.acc_seg: 92.1259, loss: 0.1941 2023-03-04 05:44:47,503 - mmseg - INFO - Iter [114100/160000] lr: 4.687e-06, eta: 3:34:35, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1950, decode.acc_seg: 92.1119, loss: 0.1950 2023-03-04 05:44:59,418 - mmseg - INFO - Iter [114150/160000] lr: 4.687e-06, eta: 3:34:20, time: 0.238, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1968, decode.acc_seg: 92.0217, loss: 0.1968 2023-03-04 05:45:11,111 - mmseg - INFO - Iter [114200/160000] lr: 4.687e-06, eta: 3:34:05, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2010, decode.acc_seg: 92.0567, loss: 0.2010 2023-03-04 05:45:25,164 - mmseg - INFO - Iter [114250/160000] lr: 4.687e-06, eta: 3:33:51, time: 0.281, data_time: 0.054, memory: 67409, decode.loss_ce: 0.1931, decode.acc_seg: 92.1977, loss: 0.1931 2023-03-04 05:45:36,848 - mmseg - INFO - Iter [114300/160000] lr: 4.687e-06, eta: 3:33:36, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1888, decode.acc_seg: 92.2890, loss: 0.1888 2023-03-04 05:45:48,484 - mmseg - INFO - Iter [114350/160000] lr: 4.687e-06, eta: 3:33:21, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1952, decode.acc_seg: 92.0842, loss: 0.1952 2023-03-04 05:45:59,975 - mmseg - INFO - Iter [114400/160000] lr: 4.687e-06, eta: 3:33:06, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1911, decode.acc_seg: 92.2193, loss: 0.1911 2023-03-04 05:46:11,685 - mmseg - INFO - Iter [114450/160000] lr: 4.687e-06, eta: 3:32:51, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1991, decode.acc_seg: 91.9978, loss: 0.1991 2023-03-04 05:46:23,362 - mmseg - INFO - Iter [114500/160000] lr: 4.687e-06, eta: 3:32:36, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2003, decode.acc_seg: 91.9763, loss: 0.2003 2023-03-04 05:46:34,878 - mmseg - INFO - Iter [114550/160000] lr: 4.687e-06, eta: 3:32:21, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1972, decode.acc_seg: 92.1197, loss: 0.1972 2023-03-04 05:46:46,587 - mmseg - INFO - Iter [114600/160000] lr: 4.687e-06, eta: 3:32:07, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1946, decode.acc_seg: 92.2198, loss: 0.1946 2023-03-04 05:46:58,241 - mmseg - INFO - Iter [114650/160000] lr: 4.687e-06, eta: 3:31:52, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1988, decode.acc_seg: 91.9862, loss: 0.1988 2023-03-04 05:47:09,771 - mmseg - INFO - Iter [114700/160000] lr: 4.687e-06, eta: 3:31:37, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1871, decode.acc_seg: 92.4179, loss: 0.1871 2023-03-04 05:47:21,471 - mmseg - INFO - Iter [114750/160000] lr: 4.687e-06, eta: 3:31:22, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2008, decode.acc_seg: 91.9152, loss: 0.2008 2023-03-04 05:47:33,039 - mmseg - INFO - Iter [114800/160000] lr: 4.687e-06, eta: 3:31:07, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1973, decode.acc_seg: 92.0032, loss: 0.1973 2023-03-04 05:47:46,954 - mmseg - INFO - Iter [114850/160000] lr: 4.687e-06, eta: 3:30:53, time: 0.278, data_time: 0.054, memory: 67409, decode.loss_ce: 0.2026, decode.acc_seg: 91.9210, loss: 0.2026 2023-03-04 05:47:58,431 - mmseg - INFO - Iter [114900/160000] lr: 4.687e-06, eta: 3:30:38, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1927, decode.acc_seg: 92.1182, loss: 0.1927 2023-03-04 05:48:09,989 - mmseg - INFO - Iter [114950/160000] lr: 4.687e-06, eta: 3:30:23, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1940, decode.acc_seg: 92.2612, loss: 0.1940 2023-03-04 05:48:21,421 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 05:48:21,421 - mmseg - INFO - Iter [115000/160000] lr: 4.687e-06, eta: 3:30:08, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1921, decode.acc_seg: 92.2772, loss: 0.1921 2023-03-04 05:48:33,023 - mmseg - INFO - Iter [115050/160000] lr: 4.687e-06, eta: 3:29:53, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2000, decode.acc_seg: 91.9374, loss: 0.2000 2023-03-04 05:48:44,600 - mmseg - INFO - Iter [115100/160000] lr: 4.687e-06, eta: 3:29:38, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1975, decode.acc_seg: 92.0587, loss: 0.1975 2023-03-04 05:48:56,330 - mmseg - INFO - Iter [115150/160000] lr: 4.687e-06, eta: 3:29:23, time: 0.235, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1918, decode.acc_seg: 92.2542, loss: 0.1918 2023-03-04 05:49:08,146 - mmseg - INFO - Iter [115200/160000] lr: 4.687e-06, eta: 3:29:08, time: 0.236, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1956, decode.acc_seg: 92.0558, loss: 0.1956 2023-03-04 05:49:19,614 - mmseg - INFO - Iter [115250/160000] lr: 4.687e-06, eta: 3:28:53, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1957, decode.acc_seg: 92.1199, loss: 0.1957 2023-03-04 05:49:31,319 - mmseg - INFO - Iter [115300/160000] lr: 4.687e-06, eta: 3:28:38, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2019, decode.acc_seg: 91.8586, loss: 0.2019 2023-03-04 05:49:43,134 - mmseg - INFO - Iter [115350/160000] lr: 4.687e-06, eta: 3:28:23, time: 0.236, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1941, decode.acc_seg: 92.2024, loss: 0.1941 2023-03-04 05:49:54,763 - mmseg - INFO - Iter [115400/160000] lr: 4.687e-06, eta: 3:28:08, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1922, decode.acc_seg: 92.2719, loss: 0.1922 2023-03-04 05:50:06,404 - mmseg - INFO - Iter [115450/160000] lr: 4.687e-06, eta: 3:27:53, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1967, decode.acc_seg: 91.8841, loss: 0.1967 2023-03-04 05:50:20,493 - mmseg - INFO - Iter [115500/160000] lr: 4.687e-06, eta: 3:27:39, time: 0.282, data_time: 0.053, memory: 67409, decode.loss_ce: 0.2050, decode.acc_seg: 91.7458, loss: 0.2050 2023-03-04 05:50:31,967 - mmseg - INFO - Iter [115550/160000] lr: 4.687e-06, eta: 3:27:24, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1989, decode.acc_seg: 91.9602, loss: 0.1989 2023-03-04 05:50:43,415 - mmseg - INFO - Iter [115600/160000] lr: 4.687e-06, eta: 3:27:10, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1986, decode.acc_seg: 91.9403, loss: 0.1986 2023-03-04 05:50:54,969 - mmseg - INFO - Iter [115650/160000] lr: 4.687e-06, eta: 3:26:55, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1875, decode.acc_seg: 92.4416, loss: 0.1875 2023-03-04 05:51:06,552 - mmseg - INFO - Iter [115700/160000] lr: 4.687e-06, eta: 3:26:40, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1918, decode.acc_seg: 92.2334, loss: 0.1918 2023-03-04 05:51:18,066 - mmseg - INFO - Iter [115750/160000] lr: 4.687e-06, eta: 3:26:25, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1947, decode.acc_seg: 92.3363, loss: 0.1947 2023-03-04 05:51:29,705 - mmseg - INFO - Iter [115800/160000] lr: 4.687e-06, eta: 3:26:10, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2067, decode.acc_seg: 91.7027, loss: 0.2067 2023-03-04 05:51:41,191 - mmseg - INFO - Iter [115850/160000] lr: 4.687e-06, eta: 3:25:55, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1997, decode.acc_seg: 92.1518, loss: 0.1997 2023-03-04 05:51:52,698 - mmseg - INFO - Iter [115900/160000] lr: 4.687e-06, eta: 3:25:40, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2009, decode.acc_seg: 91.8794, loss: 0.2009 2023-03-04 05:52:04,170 - mmseg - INFO - Iter [115950/160000] lr: 4.687e-06, eta: 3:25:25, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1992, decode.acc_seg: 91.8350, loss: 0.1992 2023-03-04 05:52:15,795 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 05:52:15,795 - mmseg - INFO - Iter [116000/160000] lr: 4.687e-06, eta: 3:25:10, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2077, decode.acc_seg: 91.7747, loss: 0.2077 2023-03-04 05:52:27,470 - mmseg - INFO - Iter [116050/160000] lr: 4.687e-06, eta: 3:24:55, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1964, decode.acc_seg: 92.0232, loss: 0.1964 2023-03-04 05:52:38,913 - mmseg - INFO - Iter [116100/160000] lr: 4.687e-06, eta: 3:24:40, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1857, decode.acc_seg: 92.4787, loss: 0.1857 2023-03-04 05:52:53,247 - mmseg - INFO - Iter [116150/160000] lr: 4.687e-06, eta: 3:24:26, time: 0.287, data_time: 0.055, memory: 67409, decode.loss_ce: 0.1962, decode.acc_seg: 92.0526, loss: 0.1962 2023-03-04 05:53:04,974 - mmseg - INFO - Iter [116200/160000] lr: 4.687e-06, eta: 3:24:12, time: 0.235, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2004, decode.acc_seg: 91.9939, loss: 0.2004 2023-03-04 05:53:16,587 - mmseg - INFO - Iter [116250/160000] lr: 4.687e-06, eta: 3:23:57, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1938, decode.acc_seg: 92.1892, loss: 0.1938 2023-03-04 05:53:28,129 - mmseg - INFO - Iter [116300/160000] lr: 4.687e-06, eta: 3:23:42, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1998, decode.acc_seg: 91.9647, loss: 0.1998 2023-03-04 05:53:39,608 - mmseg - INFO - Iter [116350/160000] lr: 4.687e-06, eta: 3:23:27, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1939, decode.acc_seg: 92.2431, loss: 0.1939 2023-03-04 05:53:51,146 - mmseg - INFO - Iter [116400/160000] lr: 4.687e-06, eta: 3:23:12, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1945, decode.acc_seg: 92.1959, loss: 0.1945 2023-03-04 05:54:02,600 - mmseg - INFO - Iter [116450/160000] lr: 4.687e-06, eta: 3:22:57, time: 0.229, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1922, decode.acc_seg: 92.2870, loss: 0.1922 2023-03-04 05:54:14,105 - mmseg - INFO - Iter [116500/160000] lr: 4.687e-06, eta: 3:22:42, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1898, decode.acc_seg: 92.2594, loss: 0.1898 2023-03-04 05:54:25,641 - mmseg - INFO - Iter [116550/160000] lr: 4.687e-06, eta: 3:22:27, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1996, decode.acc_seg: 91.8137, loss: 0.1996 2023-03-04 05:54:37,102 - mmseg - INFO - Iter [116600/160000] lr: 4.687e-06, eta: 3:22:12, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2010, decode.acc_seg: 91.9148, loss: 0.2010 2023-03-04 05:54:48,673 - mmseg - INFO - Iter [116650/160000] lr: 4.687e-06, eta: 3:21:57, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2006, decode.acc_seg: 92.0231, loss: 0.2006 2023-03-04 05:55:00,205 - mmseg - INFO - Iter [116700/160000] lr: 4.687e-06, eta: 3:21:43, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2044, decode.acc_seg: 91.8541, loss: 0.2044 2023-03-04 05:55:14,288 - mmseg - INFO - Iter [116750/160000] lr: 4.687e-06, eta: 3:21:29, time: 0.282, data_time: 0.055, memory: 67409, decode.loss_ce: 0.1883, decode.acc_seg: 92.3913, loss: 0.1883 2023-03-04 05:55:25,932 - mmseg - INFO - Iter [116800/160000] lr: 4.687e-06, eta: 3:21:14, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1939, decode.acc_seg: 92.1796, loss: 0.1939 2023-03-04 05:55:37,513 - mmseg - INFO - Iter [116850/160000] lr: 4.687e-06, eta: 3:20:59, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2011, decode.acc_seg: 91.8708, loss: 0.2011 2023-03-04 05:55:48,945 - mmseg - INFO - Iter [116900/160000] lr: 4.687e-06, eta: 3:20:44, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2006, decode.acc_seg: 91.9309, loss: 0.2006 2023-03-04 05:56:00,495 - mmseg - INFO - Iter [116950/160000] lr: 4.687e-06, eta: 3:20:29, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1947, decode.acc_seg: 92.2704, loss: 0.1947 2023-03-04 05:56:12,221 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 05:56:12,221 - mmseg - INFO - Iter [117000/160000] lr: 4.687e-06, eta: 3:20:14, time: 0.235, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1915, decode.acc_seg: 92.1549, loss: 0.1915 2023-03-04 05:56:23,766 - mmseg - INFO - Iter [117050/160000] lr: 4.687e-06, eta: 3:20:00, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2084, decode.acc_seg: 91.7369, loss: 0.2084 2023-03-04 05:56:35,436 - mmseg - INFO - Iter [117100/160000] lr: 4.687e-06, eta: 3:19:45, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2059, decode.acc_seg: 91.8097, loss: 0.2059 2023-03-04 05:56:46,992 - mmseg - INFO - Iter [117150/160000] lr: 4.687e-06, eta: 3:19:30, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1944, decode.acc_seg: 92.1175, loss: 0.1944 2023-03-04 05:56:58,541 - mmseg - INFO - Iter [117200/160000] lr: 4.687e-06, eta: 3:19:15, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1817, decode.acc_seg: 92.5803, loss: 0.1817 2023-03-04 05:57:10,130 - mmseg - INFO - Iter [117250/160000] lr: 4.687e-06, eta: 3:19:00, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2102, decode.acc_seg: 91.6254, loss: 0.2102 2023-03-04 05:57:21,694 - mmseg - INFO - Iter [117300/160000] lr: 4.687e-06, eta: 3:18:45, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2018, decode.acc_seg: 91.8371, loss: 0.2018 2023-03-04 05:57:33,412 - mmseg - INFO - Iter [117350/160000] lr: 4.687e-06, eta: 3:18:31, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1962, decode.acc_seg: 92.1972, loss: 0.1962 2023-03-04 05:57:47,484 - mmseg - INFO - Iter [117400/160000] lr: 4.687e-06, eta: 3:18:17, time: 0.281, data_time: 0.055, memory: 67409, decode.loss_ce: 0.2014, decode.acc_seg: 91.9657, loss: 0.2014 2023-03-04 05:57:59,084 - mmseg - INFO - Iter [117450/160000] lr: 4.687e-06, eta: 3:18:02, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1978, decode.acc_seg: 92.0260, loss: 0.1978 2023-03-04 05:58:10,971 - mmseg - INFO - Iter [117500/160000] lr: 4.687e-06, eta: 3:17:47, time: 0.238, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1959, decode.acc_seg: 92.1618, loss: 0.1959 2023-03-04 05:58:22,438 - mmseg - INFO - Iter [117550/160000] lr: 4.687e-06, eta: 3:17:32, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2036, decode.acc_seg: 91.7329, loss: 0.2036 2023-03-04 05:58:34,056 - mmseg - INFO - Iter [117600/160000] lr: 4.687e-06, eta: 3:17:17, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1951, decode.acc_seg: 92.0167, loss: 0.1951 2023-03-04 05:58:45,578 - mmseg - INFO - Iter [117650/160000] lr: 4.687e-06, eta: 3:17:03, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1954, decode.acc_seg: 92.1532, loss: 0.1954 2023-03-04 05:58:57,047 - mmseg - INFO - Iter [117700/160000] lr: 4.687e-06, eta: 3:16:48, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2001, decode.acc_seg: 92.1936, loss: 0.2001 2023-03-04 05:59:08,492 - mmseg - INFO - Iter [117750/160000] lr: 4.687e-06, eta: 3:16:33, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1957, decode.acc_seg: 91.9274, loss: 0.1957 2023-03-04 05:59:20,001 - mmseg - INFO - Iter [117800/160000] lr: 4.687e-06, eta: 3:16:18, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1886, decode.acc_seg: 92.3475, loss: 0.1886 2023-03-04 05:59:31,533 - mmseg - INFO - Iter [117850/160000] lr: 4.687e-06, eta: 3:16:03, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1999, decode.acc_seg: 92.0348, loss: 0.1999 2023-03-04 05:59:43,014 - mmseg - INFO - Iter [117900/160000] lr: 4.687e-06, eta: 3:15:48, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2020, decode.acc_seg: 91.8216, loss: 0.2020 2023-03-04 05:59:54,479 - mmseg - INFO - Iter [117950/160000] lr: 4.687e-06, eta: 3:15:34, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2052, decode.acc_seg: 91.8228, loss: 0.2052 2023-03-04 06:00:08,406 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 06:00:08,406 - mmseg - INFO - Iter [118000/160000] lr: 4.687e-06, eta: 3:15:20, time: 0.279, data_time: 0.052, memory: 67409, decode.loss_ce: 0.1911, decode.acc_seg: 92.2642, loss: 0.1911 2023-03-04 06:00:19,941 - mmseg - INFO - Iter [118050/160000] lr: 4.687e-06, eta: 3:15:05, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2003, decode.acc_seg: 92.0357, loss: 0.2003 2023-03-04 06:00:31,577 - mmseg - INFO - Iter [118100/160000] lr: 4.687e-06, eta: 3:14:50, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1944, decode.acc_seg: 92.1545, loss: 0.1944 2023-03-04 06:00:43,077 - mmseg - INFO - Iter [118150/160000] lr: 4.687e-06, eta: 3:14:35, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2002, decode.acc_seg: 91.9293, loss: 0.2002 2023-03-04 06:00:54,549 - mmseg - INFO - Iter [118200/160000] lr: 4.687e-06, eta: 3:14:20, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2004, decode.acc_seg: 91.9347, loss: 0.2004 2023-03-04 06:01:06,310 - mmseg - INFO - Iter [118250/160000] lr: 4.687e-06, eta: 3:14:06, time: 0.235, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1980, decode.acc_seg: 92.1091, loss: 0.1980 2023-03-04 06:01:17,922 - mmseg - INFO - Iter [118300/160000] lr: 4.687e-06, eta: 3:13:51, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2011, decode.acc_seg: 92.1138, loss: 0.2011 2023-03-04 06:01:29,573 - mmseg - INFO - Iter [118350/160000] lr: 4.687e-06, eta: 3:13:36, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1962, decode.acc_seg: 91.9352, loss: 0.1962 2023-03-04 06:01:41,107 - mmseg - INFO - Iter [118400/160000] lr: 4.687e-06, eta: 3:13:21, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1999, decode.acc_seg: 91.9494, loss: 0.1999 2023-03-04 06:01:52,811 - mmseg - INFO - Iter [118450/160000] lr: 4.687e-06, eta: 3:13:07, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1962, decode.acc_seg: 92.0632, loss: 0.1962 2023-03-04 06:02:04,439 - mmseg - INFO - Iter [118500/160000] lr: 4.687e-06, eta: 3:12:52, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1976, decode.acc_seg: 92.1386, loss: 0.1976 2023-03-04 06:02:15,949 - mmseg - INFO - Iter [118550/160000] lr: 4.687e-06, eta: 3:12:37, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2012, decode.acc_seg: 91.8827, loss: 0.2012 2023-03-04 06:02:27,651 - mmseg - INFO - Iter [118600/160000] lr: 4.687e-06, eta: 3:12:22, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2031, decode.acc_seg: 91.8944, loss: 0.2031 2023-03-04 06:02:41,649 - mmseg - INFO - Iter [118650/160000] lr: 4.687e-06, eta: 3:12:08, time: 0.280, data_time: 0.054, memory: 67409, decode.loss_ce: 0.2025, decode.acc_seg: 91.8447, loss: 0.2025 2023-03-04 06:02:53,108 - mmseg - INFO - Iter [118700/160000] lr: 4.687e-06, eta: 3:11:54, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1960, decode.acc_seg: 92.1856, loss: 0.1960 2023-03-04 06:03:04,579 - mmseg - INFO - Iter [118750/160000] lr: 4.687e-06, eta: 3:11:39, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1936, decode.acc_seg: 92.1475, loss: 0.1936 2023-03-04 06:03:16,055 - mmseg - INFO - Iter [118800/160000] lr: 4.687e-06, eta: 3:11:24, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1999, decode.acc_seg: 91.9208, loss: 0.1999 2023-03-04 06:03:27,669 - mmseg - INFO - Iter [118850/160000] lr: 4.687e-06, eta: 3:11:09, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1993, decode.acc_seg: 91.9403, loss: 0.1993 2023-03-04 06:03:39,237 - mmseg - INFO - Iter [118900/160000] lr: 4.687e-06, eta: 3:10:54, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1974, decode.acc_seg: 92.0182, loss: 0.1974 2023-03-04 06:03:50,914 - mmseg - INFO - Iter [118950/160000] lr: 4.687e-06, eta: 3:10:40, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2010, decode.acc_seg: 91.9282, loss: 0.2010 2023-03-04 06:04:02,444 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 06:04:02,444 - mmseg - INFO - Iter [119000/160000] lr: 4.687e-06, eta: 3:10:25, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2018, decode.acc_seg: 91.8874, loss: 0.2018 2023-03-04 06:04:14,027 - mmseg - INFO - Iter [119050/160000] lr: 4.687e-06, eta: 3:10:10, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1904, decode.acc_seg: 92.3988, loss: 0.1904 2023-03-04 06:04:25,548 - mmseg - INFO - Iter [119100/160000] lr: 4.687e-06, eta: 3:09:55, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2001, decode.acc_seg: 91.8537, loss: 0.2001 2023-03-04 06:04:37,281 - mmseg - INFO - Iter [119150/160000] lr: 4.687e-06, eta: 3:09:41, time: 0.235, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1912, decode.acc_seg: 92.2598, loss: 0.1912 2023-03-04 06:04:48,854 - mmseg - INFO - Iter [119200/160000] lr: 4.687e-06, eta: 3:09:26, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2049, decode.acc_seg: 91.9443, loss: 0.2049 2023-03-04 06:05:00,451 - mmseg - INFO - Iter [119250/160000] lr: 4.687e-06, eta: 3:09:11, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1985, decode.acc_seg: 92.0499, loss: 0.1985 2023-03-04 06:05:14,569 - mmseg - INFO - Iter [119300/160000] lr: 4.687e-06, eta: 3:08:57, time: 0.282, data_time: 0.053, memory: 67409, decode.loss_ce: 0.1950, decode.acc_seg: 92.0336, loss: 0.1950 2023-03-04 06:05:26,226 - mmseg - INFO - Iter [119350/160000] lr: 4.687e-06, eta: 3:08:43, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2094, decode.acc_seg: 91.6717, loss: 0.2094 2023-03-04 06:05:37,718 - mmseg - INFO - Iter [119400/160000] lr: 4.687e-06, eta: 3:08:28, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1936, decode.acc_seg: 92.1932, loss: 0.1936 2023-03-04 06:05:49,634 - mmseg - INFO - Iter [119450/160000] lr: 4.687e-06, eta: 3:08:13, time: 0.238, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1894, decode.acc_seg: 92.2337, loss: 0.1894 2023-03-04 06:06:01,128 - mmseg - INFO - Iter [119500/160000] lr: 4.687e-06, eta: 3:07:59, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1985, decode.acc_seg: 91.9059, loss: 0.1985 2023-03-04 06:06:12,675 - mmseg - INFO - Iter [119550/160000] lr: 4.687e-06, eta: 3:07:44, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2042, decode.acc_seg: 91.6969, loss: 0.2042 2023-03-04 06:06:24,471 - mmseg - INFO - Iter [119600/160000] lr: 4.687e-06, eta: 3:07:29, time: 0.236, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1933, decode.acc_seg: 92.3182, loss: 0.1933 2023-03-04 06:06:36,354 - mmseg - INFO - Iter [119650/160000] lr: 4.687e-06, eta: 3:07:15, time: 0.238, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1944, decode.acc_seg: 92.1422, loss: 0.1944 2023-03-04 06:06:47,828 - mmseg - INFO - Iter [119700/160000] lr: 4.687e-06, eta: 3:07:00, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2026, decode.acc_seg: 91.8791, loss: 0.2026 2023-03-04 06:06:59,392 - mmseg - INFO - Iter [119750/160000] lr: 4.687e-06, eta: 3:06:45, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2047, decode.acc_seg: 91.8521, loss: 0.2047 2023-03-04 06:07:10,966 - mmseg - INFO - Iter [119800/160000] lr: 4.687e-06, eta: 3:06:31, time: 0.232, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2021, decode.acc_seg: 91.9420, loss: 0.2021 2023-03-04 06:07:22,496 - mmseg - INFO - Iter [119850/160000] lr: 4.687e-06, eta: 3:06:16, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1959, decode.acc_seg: 92.1714, loss: 0.1959 2023-03-04 06:07:36,779 - mmseg - INFO - Iter [119900/160000] lr: 4.687e-06, eta: 3:06:02, time: 0.286, data_time: 0.054, memory: 67409, decode.loss_ce: 0.1952, decode.acc_seg: 92.2577, loss: 0.1952 2023-03-04 06:07:48,427 - mmseg - INFO - Iter [119950/160000] lr: 4.687e-06, eta: 3:05:47, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2043, decode.acc_seg: 91.8029, loss: 0.2043 2023-03-04 06:07:59,864 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 06:07:59,864 - mmseg - INFO - Iter [120000/160000] lr: 4.687e-06, eta: 3:05:33, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2061, decode.acc_seg: 91.8586, loss: 0.2061 2023-03-04 06:08:11,341 - mmseg - INFO - Iter [120050/160000] lr: 2.344e-06, eta: 3:05:18, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1947, decode.acc_seg: 92.0995, loss: 0.1947 2023-03-04 06:08:22,772 - mmseg - INFO - Iter [120100/160000] lr: 2.344e-06, eta: 3:05:03, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1905, decode.acc_seg: 92.4290, loss: 0.1905 2023-03-04 06:08:34,344 - mmseg - INFO - Iter [120150/160000] lr: 2.344e-06, eta: 3:04:48, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1937, decode.acc_seg: 92.1763, loss: 0.1937 2023-03-04 06:08:45,842 - mmseg - INFO - Iter [120200/160000] lr: 2.344e-06, eta: 3:04:34, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1969, decode.acc_seg: 92.2307, loss: 0.1969 2023-03-04 06:08:57,247 - mmseg - INFO - Iter [120250/160000] lr: 2.344e-06, eta: 3:04:19, time: 0.228, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2052, decode.acc_seg: 91.7986, loss: 0.2052 2023-03-04 06:09:08,800 - mmseg - INFO - Iter [120300/160000] lr: 2.344e-06, eta: 3:04:04, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1967, decode.acc_seg: 92.0857, loss: 0.1967 2023-03-04 06:09:20,300 - mmseg - INFO - Iter [120350/160000] lr: 2.344e-06, eta: 3:03:50, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1975, decode.acc_seg: 92.0204, loss: 0.1975 2023-03-04 06:09:31,779 - mmseg - INFO - Iter [120400/160000] lr: 2.344e-06, eta: 3:03:35, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1939, decode.acc_seg: 92.1974, loss: 0.1939 2023-03-04 06:09:43,335 - mmseg - INFO - Iter [120450/160000] lr: 2.344e-06, eta: 3:03:20, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2014, decode.acc_seg: 92.0365, loss: 0.2014 2023-03-04 06:09:54,822 - mmseg - INFO - Iter [120500/160000] lr: 2.344e-06, eta: 3:03:05, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2014, decode.acc_seg: 91.8685, loss: 0.2014 2023-03-04 06:10:08,907 - mmseg - INFO - Iter [120550/160000] lr: 2.344e-06, eta: 3:02:52, time: 0.282, data_time: 0.057, memory: 67409, decode.loss_ce: 0.1961, decode.acc_seg: 92.1917, loss: 0.1961 2023-03-04 06:10:20,380 - mmseg - INFO - Iter [120600/160000] lr: 2.344e-06, eta: 3:02:37, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1998, decode.acc_seg: 91.9672, loss: 0.1998 2023-03-04 06:10:32,113 - mmseg - INFO - Iter [120650/160000] lr: 2.344e-06, eta: 3:02:22, time: 0.235, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1935, decode.acc_seg: 92.1162, loss: 0.1935 2023-03-04 06:10:43,610 - mmseg - INFO - Iter [120700/160000] lr: 2.344e-06, eta: 3:02:08, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2050, decode.acc_seg: 91.8946, loss: 0.2050 2023-03-04 06:10:55,019 - mmseg - INFO - Iter [120750/160000] lr: 2.344e-06, eta: 3:01:53, time: 0.228, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1968, decode.acc_seg: 92.0693, loss: 0.1968 2023-03-04 06:11:06,590 - mmseg - INFO - Iter [120800/160000] lr: 2.344e-06, eta: 3:01:38, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1980, decode.acc_seg: 92.0973, loss: 0.1980 2023-03-04 06:11:18,245 - mmseg - INFO - Iter [120850/160000] lr: 2.344e-06, eta: 3:01:24, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1959, decode.acc_seg: 92.1665, loss: 0.1959 2023-03-04 06:11:30,123 - mmseg - INFO - Iter [120900/160000] lr: 2.344e-06, eta: 3:01:09, time: 0.238, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1868, decode.acc_seg: 92.4798, loss: 0.1868 2023-03-04 06:11:41,547 - mmseg - INFO - Iter [120950/160000] lr: 2.344e-06, eta: 3:00:54, time: 0.228, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1891, decode.acc_seg: 92.3558, loss: 0.1891 2023-03-04 06:11:53,262 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 06:11:53,262 - mmseg - INFO - Iter [121000/160000] lr: 2.344e-06, eta: 3:00:40, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1968, decode.acc_seg: 92.0807, loss: 0.1968 2023-03-04 06:12:04,875 - mmseg - INFO - Iter [121050/160000] lr: 2.344e-06, eta: 3:00:25, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1973, decode.acc_seg: 91.9878, loss: 0.1973 2023-03-04 06:12:16,308 - mmseg - INFO - Iter [121100/160000] lr: 2.344e-06, eta: 3:00:10, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2031, decode.acc_seg: 92.0141, loss: 0.2031 2023-03-04 06:12:27,981 - mmseg - INFO - Iter [121150/160000] lr: 2.344e-06, eta: 2:59:56, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1962, decode.acc_seg: 92.1217, loss: 0.1962 2023-03-04 06:12:42,251 - mmseg - INFO - Iter [121200/160000] lr: 2.344e-06, eta: 2:59:42, time: 0.285, data_time: 0.053, memory: 67409, decode.loss_ce: 0.2004, decode.acc_seg: 92.2210, loss: 0.2004 2023-03-04 06:12:53,885 - mmseg - INFO - Iter [121250/160000] lr: 2.344e-06, eta: 2:59:27, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1947, decode.acc_seg: 92.1296, loss: 0.1947 2023-03-04 06:13:05,369 - mmseg - INFO - Iter [121300/160000] lr: 2.344e-06, eta: 2:59:13, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1977, decode.acc_seg: 92.2507, loss: 0.1977 2023-03-04 06:13:16,826 - mmseg - INFO - Iter [121350/160000] lr: 2.344e-06, eta: 2:58:58, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1921, decode.acc_seg: 92.2803, loss: 0.1921 2023-03-04 06:13:28,787 - mmseg - INFO - Iter [121400/160000] lr: 2.344e-06, eta: 2:58:44, time: 0.239, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1958, decode.acc_seg: 92.0834, loss: 0.1958 2023-03-04 06:13:40,669 - mmseg - INFO - Iter [121450/160000] lr: 2.344e-06, eta: 2:58:29, time: 0.238, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1979, decode.acc_seg: 92.0261, loss: 0.1979 2023-03-04 06:13:52,098 - mmseg - INFO - Iter [121500/160000] lr: 2.344e-06, eta: 2:58:14, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1931, decode.acc_seg: 92.1326, loss: 0.1931 2023-03-04 06:14:03,602 - mmseg - INFO - Iter [121550/160000] lr: 2.344e-06, eta: 2:58:00, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1904, decode.acc_seg: 92.3308, loss: 0.1904 2023-03-04 06:14:15,111 - mmseg - INFO - Iter [121600/160000] lr: 2.344e-06, eta: 2:57:45, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1988, decode.acc_seg: 91.9227, loss: 0.1988 2023-03-04 06:14:26,624 - mmseg - INFO - Iter [121650/160000] lr: 2.344e-06, eta: 2:57:30, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1968, decode.acc_seg: 92.0515, loss: 0.1968 2023-03-04 06:14:38,130 - mmseg - INFO - Iter [121700/160000] lr: 2.344e-06, eta: 2:57:16, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1999, decode.acc_seg: 92.0245, loss: 0.1999 2023-03-04 06:14:49,747 - mmseg - INFO - Iter [121750/160000] lr: 2.344e-06, eta: 2:57:01, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2031, decode.acc_seg: 91.7062, loss: 0.2031 2023-03-04 06:15:03,820 - mmseg - INFO - Iter [121800/160000] lr: 2.344e-06, eta: 2:56:47, time: 0.281, data_time: 0.053, memory: 67409, decode.loss_ce: 0.1915, decode.acc_seg: 92.2346, loss: 0.1915 2023-03-04 06:15:15,366 - mmseg - INFO - Iter [121850/160000] lr: 2.344e-06, eta: 2:56:33, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1923, decode.acc_seg: 92.4187, loss: 0.1923 2023-03-04 06:15:26,843 - mmseg - INFO - Iter [121900/160000] lr: 2.344e-06, eta: 2:56:18, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2030, decode.acc_seg: 91.9838, loss: 0.2030 2023-03-04 06:15:38,328 - mmseg - INFO - Iter [121950/160000] lr: 2.344e-06, eta: 2:56:04, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1924, decode.acc_seg: 92.2224, loss: 0.1924 2023-03-04 06:15:49,779 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 06:15:49,780 - mmseg - INFO - Iter [122000/160000] lr: 2.344e-06, eta: 2:55:49, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1936, decode.acc_seg: 92.1953, loss: 0.1936 2023-03-04 06:16:01,294 - mmseg - INFO - Iter [122050/160000] lr: 2.344e-06, eta: 2:55:34, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1990, decode.acc_seg: 92.0622, loss: 0.1990 2023-03-04 06:16:12,797 - mmseg - INFO - Iter [122100/160000] lr: 2.344e-06, eta: 2:55:20, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1998, decode.acc_seg: 91.9200, loss: 0.1998 2023-03-04 06:16:24,368 - mmseg - INFO - Iter [122150/160000] lr: 2.344e-06, eta: 2:55:05, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1989, decode.acc_seg: 91.9262, loss: 0.1989 2023-03-04 06:16:35,799 - mmseg - INFO - Iter [122200/160000] lr: 2.344e-06, eta: 2:54:50, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2037, decode.acc_seg: 91.9359, loss: 0.2037 2023-03-04 06:16:47,423 - mmseg - INFO - Iter [122250/160000] lr: 2.344e-06, eta: 2:54:36, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1950, decode.acc_seg: 92.2093, loss: 0.1950 2023-03-04 06:16:59,001 - mmseg - INFO - Iter [122300/160000] lr: 2.344e-06, eta: 2:54:21, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2050, decode.acc_seg: 91.7188, loss: 0.2050 2023-03-04 06:17:10,438 - mmseg - INFO - Iter [122350/160000] lr: 2.344e-06, eta: 2:54:07, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1938, decode.acc_seg: 92.2604, loss: 0.1938 2023-03-04 06:17:22,100 - mmseg - INFO - Iter [122400/160000] lr: 2.344e-06, eta: 2:53:52, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1965, decode.acc_seg: 91.9517, loss: 0.1965 2023-03-04 06:17:36,159 - mmseg - INFO - Iter [122450/160000] lr: 2.344e-06, eta: 2:53:38, time: 0.281, data_time: 0.052, memory: 67409, decode.loss_ce: 0.2036, decode.acc_seg: 92.0238, loss: 0.2036 2023-03-04 06:17:47,729 - mmseg - INFO - Iter [122500/160000] lr: 2.344e-06, eta: 2:53:24, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1963, decode.acc_seg: 92.0920, loss: 0.1963 2023-03-04 06:17:59,232 - mmseg - INFO - Iter [122550/160000] lr: 2.344e-06, eta: 2:53:09, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1918, decode.acc_seg: 92.2966, loss: 0.1918 2023-03-04 06:18:10,674 - mmseg - INFO - Iter [122600/160000] lr: 2.344e-06, eta: 2:52:54, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1965, decode.acc_seg: 92.1574, loss: 0.1965 2023-03-04 06:18:22,463 - mmseg - INFO - Iter [122650/160000] lr: 2.344e-06, eta: 2:52:40, time: 0.236, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1960, decode.acc_seg: 92.1242, loss: 0.1960 2023-03-04 06:18:33,905 - mmseg - INFO - Iter [122700/160000] lr: 2.344e-06, eta: 2:52:25, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1982, decode.acc_seg: 92.0001, loss: 0.1982 2023-03-04 06:18:45,380 - mmseg - INFO - Iter [122750/160000] lr: 2.344e-06, eta: 2:52:11, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1951, decode.acc_seg: 92.1120, loss: 0.1951 2023-03-04 06:18:57,313 - mmseg - INFO - Iter [122800/160000] lr: 2.344e-06, eta: 2:51:56, time: 0.239, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1931, decode.acc_seg: 92.1617, loss: 0.1931 2023-03-04 06:19:09,311 - mmseg - INFO - Iter [122850/160000] lr: 2.344e-06, eta: 2:51:42, time: 0.240, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2015, decode.acc_seg: 92.0076, loss: 0.2015 2023-03-04 06:19:20,809 - mmseg - INFO - Iter [122900/160000] lr: 2.344e-06, eta: 2:51:27, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1901, decode.acc_seg: 92.2763, loss: 0.1901 2023-03-04 06:19:32,569 - mmseg - INFO - Iter [122950/160000] lr: 2.344e-06, eta: 2:51:13, time: 0.235, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2048, decode.acc_seg: 91.8597, loss: 0.2048 2023-03-04 06:19:44,488 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 06:19:44,488 - mmseg - INFO - Iter [123000/160000] lr: 2.344e-06, eta: 2:50:58, time: 0.238, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1957, decode.acc_seg: 92.1309, loss: 0.1957 2023-03-04 06:19:58,688 - mmseg - INFO - Iter [123050/160000] lr: 2.344e-06, eta: 2:50:45, time: 0.284, data_time: 0.056, memory: 67409, decode.loss_ce: 0.2030, decode.acc_seg: 91.8816, loss: 0.2030 2023-03-04 06:20:10,314 - mmseg - INFO - Iter [123100/160000] lr: 2.344e-06, eta: 2:50:30, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1917, decode.acc_seg: 92.1651, loss: 0.1917 2023-03-04 06:20:21,863 - mmseg - INFO - Iter [123150/160000] lr: 2.344e-06, eta: 2:50:16, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2074, decode.acc_seg: 91.7394, loss: 0.2074 2023-03-04 06:20:33,656 - mmseg - INFO - Iter [123200/160000] lr: 2.344e-06, eta: 2:50:01, time: 0.236, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1903, decode.acc_seg: 92.2243, loss: 0.1903 2023-03-04 06:20:45,227 - mmseg - INFO - Iter [123250/160000] lr: 2.344e-06, eta: 2:49:47, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1985, decode.acc_seg: 92.0110, loss: 0.1985 2023-03-04 06:20:56,793 - mmseg - INFO - Iter [123300/160000] lr: 2.344e-06, eta: 2:49:32, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1970, decode.acc_seg: 92.0186, loss: 0.1970 2023-03-04 06:21:08,290 - mmseg - INFO - Iter [123350/160000] lr: 2.344e-06, eta: 2:49:17, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1956, decode.acc_seg: 92.1012, loss: 0.1956 2023-03-04 06:21:20,099 - mmseg - INFO - Iter [123400/160000] lr: 2.344e-06, eta: 2:49:03, time: 0.236, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1894, decode.acc_seg: 92.4445, loss: 0.1894 2023-03-04 06:21:31,921 - mmseg - INFO - Iter [123450/160000] lr: 2.344e-06, eta: 2:48:48, time: 0.236, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1991, decode.acc_seg: 91.9024, loss: 0.1991 2023-03-04 06:21:43,389 - mmseg - INFO - Iter [123500/160000] lr: 2.344e-06, eta: 2:48:34, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1940, decode.acc_seg: 92.0986, loss: 0.1940 2023-03-04 06:21:54,929 - mmseg - INFO - Iter [123550/160000] lr: 2.344e-06, eta: 2:48:19, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1912, decode.acc_seg: 92.3089, loss: 0.1912 2023-03-04 06:22:06,574 - mmseg - INFO - Iter [123600/160000] lr: 2.344e-06, eta: 2:48:05, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1981, decode.acc_seg: 92.0055, loss: 0.1981 2023-03-04 06:22:18,131 - mmseg - INFO - Iter [123650/160000] lr: 2.344e-06, eta: 2:47:50, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2013, decode.acc_seg: 91.9524, loss: 0.2013 2023-03-04 06:22:32,190 - mmseg - INFO - Iter [123700/160000] lr: 2.344e-06, eta: 2:47:37, time: 0.281, data_time: 0.054, memory: 67409, decode.loss_ce: 0.1870, decode.acc_seg: 92.3818, loss: 0.1870 2023-03-04 06:22:43,665 - mmseg - INFO - Iter [123750/160000] lr: 2.344e-06, eta: 2:47:22, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1968, decode.acc_seg: 92.0762, loss: 0.1968 2023-03-04 06:22:55,129 - mmseg - INFO - Iter [123800/160000] lr: 2.344e-06, eta: 2:47:07, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2003, decode.acc_seg: 92.0415, loss: 0.2003 2023-03-04 06:23:06,593 - mmseg - INFO - Iter [123850/160000] lr: 2.344e-06, eta: 2:46:53, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2022, decode.acc_seg: 92.0489, loss: 0.2022 2023-03-04 06:23:18,182 - mmseg - INFO - Iter [123900/160000] lr: 2.344e-06, eta: 2:46:38, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1936, decode.acc_seg: 92.1352, loss: 0.1936 2023-03-04 06:23:29,916 - mmseg - INFO - Iter [123950/160000] lr: 2.344e-06, eta: 2:46:24, time: 0.235, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1932, decode.acc_seg: 92.3355, loss: 0.1932 2023-03-04 06:23:41,354 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 06:23:41,354 - mmseg - INFO - Iter [124000/160000] lr: 2.344e-06, eta: 2:46:09, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1960, decode.acc_seg: 92.0080, loss: 0.1960 2023-03-04 06:23:52,870 - mmseg - INFO - Iter [124050/160000] lr: 2.344e-06, eta: 2:45:55, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1901, decode.acc_seg: 92.3479, loss: 0.1901 2023-03-04 06:24:04,427 - mmseg - INFO - Iter [124100/160000] lr: 2.344e-06, eta: 2:45:40, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1933, decode.acc_seg: 92.1977, loss: 0.1933 2023-03-04 06:24:15,905 - mmseg - INFO - Iter [124150/160000] lr: 2.344e-06, eta: 2:45:26, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1986, decode.acc_seg: 92.1376, loss: 0.1986 2023-03-04 06:24:27,891 - mmseg - INFO - Iter [124200/160000] lr: 2.344e-06, eta: 2:45:11, time: 0.240, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1982, decode.acc_seg: 92.0410, loss: 0.1982 2023-03-04 06:24:39,325 - mmseg - INFO - Iter [124250/160000] lr: 2.344e-06, eta: 2:44:57, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1929, decode.acc_seg: 92.2540, loss: 0.1929 2023-03-04 06:24:50,996 - mmseg - INFO - Iter [124300/160000] lr: 2.344e-06, eta: 2:44:42, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2000, decode.acc_seg: 92.0447, loss: 0.2000 2023-03-04 06:25:05,195 - mmseg - INFO - Iter [124350/160000] lr: 2.344e-06, eta: 2:44:29, time: 0.284, data_time: 0.055, memory: 67409, decode.loss_ce: 0.1946, decode.acc_seg: 92.1402, loss: 0.1946 2023-03-04 06:25:16,816 - mmseg - INFO - Iter [124400/160000] lr: 2.344e-06, eta: 2:44:14, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1966, decode.acc_seg: 92.0715, loss: 0.1966 2023-03-04 06:25:28,451 - mmseg - INFO - Iter [124450/160000] lr: 2.344e-06, eta: 2:44:00, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1932, decode.acc_seg: 92.2983, loss: 0.1932 2023-03-04 06:25:39,954 - mmseg - INFO - Iter [124500/160000] lr: 2.344e-06, eta: 2:43:45, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1848, decode.acc_seg: 92.5087, loss: 0.1848 2023-03-04 06:25:51,378 - mmseg - INFO - Iter [124550/160000] lr: 2.344e-06, eta: 2:43:31, time: 0.228, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1925, decode.acc_seg: 92.2999, loss: 0.1925 2023-03-04 06:26:02,879 - mmseg - INFO - Iter [124600/160000] lr: 2.344e-06, eta: 2:43:16, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1918, decode.acc_seg: 92.2966, loss: 0.1918 2023-03-04 06:26:14,457 - mmseg - INFO - Iter [124650/160000] lr: 2.344e-06, eta: 2:43:02, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1898, decode.acc_seg: 92.2129, loss: 0.1898 2023-03-04 06:26:25,969 - mmseg - INFO - Iter [124700/160000] lr: 2.344e-06, eta: 2:42:47, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2004, decode.acc_seg: 92.1487, loss: 0.2004 2023-03-04 06:26:37,685 - mmseg - INFO - Iter [124750/160000] lr: 2.344e-06, eta: 2:42:33, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1985, decode.acc_seg: 92.0856, loss: 0.1985 2023-03-04 06:26:49,114 - mmseg - INFO - Iter [124800/160000] lr: 2.344e-06, eta: 2:42:18, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1999, decode.acc_seg: 91.9435, loss: 0.1999 2023-03-04 06:27:00,810 - mmseg - INFO - Iter [124850/160000] lr: 2.344e-06, eta: 2:42:04, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1983, decode.acc_seg: 92.0009, loss: 0.1983 2023-03-04 06:27:12,314 - mmseg - INFO - Iter [124900/160000] lr: 2.344e-06, eta: 2:41:49, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2000, decode.acc_seg: 92.1097, loss: 0.2000 2023-03-04 06:27:26,440 - mmseg - INFO - Iter [124950/160000] lr: 2.344e-06, eta: 2:41:36, time: 0.283, data_time: 0.057, memory: 67409, decode.loss_ce: 0.1968, decode.acc_seg: 92.1539, loss: 0.1968 2023-03-04 06:27:37,944 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 06:27:37,944 - mmseg - INFO - Iter [125000/160000] lr: 2.344e-06, eta: 2:41:21, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1979, decode.acc_seg: 92.0550, loss: 0.1979 2023-03-04 06:27:49,500 - mmseg - INFO - Iter [125050/160000] lr: 2.344e-06, eta: 2:41:07, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1952, decode.acc_seg: 92.0149, loss: 0.1952 2023-03-04 06:28:00,976 - mmseg - INFO - Iter [125100/160000] lr: 2.344e-06, eta: 2:40:52, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1986, decode.acc_seg: 91.9756, loss: 0.1986 2023-03-04 06:28:12,509 - mmseg - INFO - Iter [125150/160000] lr: 2.344e-06, eta: 2:40:38, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1905, decode.acc_seg: 92.2865, loss: 0.1905 2023-03-04 06:28:23,979 - mmseg - INFO - Iter [125200/160000] lr: 2.344e-06, eta: 2:40:23, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1978, decode.acc_seg: 91.9960, loss: 0.1978 2023-03-04 06:28:35,473 - mmseg - INFO - Iter [125250/160000] lr: 2.344e-06, eta: 2:40:09, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2079, decode.acc_seg: 91.7646, loss: 0.2079 2023-03-04 06:28:47,055 - mmseg - INFO - Iter [125300/160000] lr: 2.344e-06, eta: 2:39:54, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2007, decode.acc_seg: 91.9792, loss: 0.2007 2023-03-04 06:28:58,727 - mmseg - INFO - Iter [125350/160000] lr: 2.344e-06, eta: 2:39:40, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1973, decode.acc_seg: 92.0540, loss: 0.1973 2023-03-04 06:29:10,187 - mmseg - INFO - Iter [125400/160000] lr: 2.344e-06, eta: 2:39:25, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1952, decode.acc_seg: 92.2271, loss: 0.1952 2023-03-04 06:29:21,657 - mmseg - INFO - Iter [125450/160000] lr: 2.344e-06, eta: 2:39:11, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1985, decode.acc_seg: 91.9842, loss: 0.1985 2023-03-04 06:29:33,384 - mmseg - INFO - Iter [125500/160000] lr: 2.344e-06, eta: 2:38:57, time: 0.235, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1934, decode.acc_seg: 92.1772, loss: 0.1934 2023-03-04 06:29:44,849 - mmseg - INFO - Iter [125550/160000] lr: 2.344e-06, eta: 2:38:42, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1923, decode.acc_seg: 92.3291, loss: 0.1923 2023-03-04 06:29:58,877 - mmseg - INFO - Iter [125600/160000] lr: 2.344e-06, eta: 2:38:28, time: 0.281, data_time: 0.054, memory: 67409, decode.loss_ce: 0.1977, decode.acc_seg: 92.0831, loss: 0.1977 2023-03-04 06:30:10,496 - mmseg - INFO - Iter [125650/160000] lr: 2.344e-06, eta: 2:38:14, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1937, decode.acc_seg: 92.1247, loss: 0.1937 2023-03-04 06:30:22,106 - mmseg - INFO - Iter [125700/160000] lr: 2.344e-06, eta: 2:37:59, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2006, decode.acc_seg: 91.9065, loss: 0.2006 2023-03-04 06:30:33,677 - mmseg - INFO - Iter [125750/160000] lr: 2.344e-06, eta: 2:37:45, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2017, decode.acc_seg: 91.8982, loss: 0.2017 2023-03-04 06:30:45,115 - mmseg - INFO - Iter [125800/160000] lr: 2.344e-06, eta: 2:37:31, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2068, decode.acc_seg: 91.6410, loss: 0.2068 2023-03-04 06:30:56,779 - mmseg - INFO - Iter [125850/160000] lr: 2.344e-06, eta: 2:37:16, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1878, decode.acc_seg: 92.4606, loss: 0.1878 2023-03-04 06:31:08,361 - mmseg - INFO - Iter [125900/160000] lr: 2.344e-06, eta: 2:37:02, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1962, decode.acc_seg: 92.1284, loss: 0.1962 2023-03-04 06:31:19,990 - mmseg - INFO - Iter [125950/160000] lr: 2.344e-06, eta: 2:36:47, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1941, decode.acc_seg: 92.1048, loss: 0.1941 2023-03-04 06:31:31,449 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 06:31:31,450 - mmseg - INFO - Iter [126000/160000] lr: 2.344e-06, eta: 2:36:33, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1953, decode.acc_seg: 92.2197, loss: 0.1953 2023-03-04 06:31:43,045 - mmseg - INFO - Iter [126050/160000] lr: 2.344e-06, eta: 2:36:18, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1978, decode.acc_seg: 92.0049, loss: 0.1978 2023-03-04 06:31:54,779 - mmseg - INFO - Iter [126100/160000] lr: 2.344e-06, eta: 2:36:04, time: 0.235, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1927, decode.acc_seg: 92.3338, loss: 0.1927 2023-03-04 06:32:06,239 - mmseg - INFO - Iter [126150/160000] lr: 2.344e-06, eta: 2:35:50, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1960, decode.acc_seg: 92.1151, loss: 0.1960 2023-03-04 06:32:17,701 - mmseg - INFO - Iter [126200/160000] lr: 2.344e-06, eta: 2:35:35, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2047, decode.acc_seg: 91.8163, loss: 0.2047 2023-03-04 06:32:31,907 - mmseg - INFO - Iter [126250/160000] lr: 2.344e-06, eta: 2:35:22, time: 0.284, data_time: 0.057, memory: 67409, decode.loss_ce: 0.1987, decode.acc_seg: 92.0484, loss: 0.1987 2023-03-04 06:32:43,690 - mmseg - INFO - Iter [126300/160000] lr: 2.344e-06, eta: 2:35:07, time: 0.236, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2009, decode.acc_seg: 91.9624, loss: 0.2009 2023-03-04 06:32:55,244 - mmseg - INFO - Iter [126350/160000] lr: 2.344e-06, eta: 2:34:53, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1883, decode.acc_seg: 92.3397, loss: 0.1883 2023-03-04 06:33:06,706 - mmseg - INFO - Iter [126400/160000] lr: 2.344e-06, eta: 2:34:38, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1967, decode.acc_seg: 92.0930, loss: 0.1967 2023-03-04 06:33:18,212 - mmseg - INFO - Iter [126450/160000] lr: 2.344e-06, eta: 2:34:24, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1932, decode.acc_seg: 91.9598, loss: 0.1932 2023-03-04 06:33:29,766 - mmseg - INFO - Iter [126500/160000] lr: 2.344e-06, eta: 2:34:09, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1993, decode.acc_seg: 91.8925, loss: 0.1993 2023-03-04 06:33:41,318 - mmseg - INFO - Iter [126550/160000] lr: 2.344e-06, eta: 2:33:55, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2013, decode.acc_seg: 91.9248, loss: 0.2013 2023-03-04 06:33:52,964 - mmseg - INFO - Iter [126600/160000] lr: 2.344e-06, eta: 2:33:41, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1898, decode.acc_seg: 92.2113, loss: 0.1898 2023-03-04 06:34:04,419 - mmseg - INFO - Iter [126650/160000] lr: 2.344e-06, eta: 2:33:26, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2002, decode.acc_seg: 92.0665, loss: 0.2002 2023-03-04 06:34:15,955 - mmseg - INFO - Iter [126700/160000] lr: 2.344e-06, eta: 2:33:12, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1963, decode.acc_seg: 92.0307, loss: 0.1963 2023-03-04 06:34:27,695 - mmseg - INFO - Iter [126750/160000] lr: 2.344e-06, eta: 2:32:58, time: 0.235, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2007, decode.acc_seg: 91.9550, loss: 0.2007 2023-03-04 06:34:39,266 - mmseg - INFO - Iter [126800/160000] lr: 2.344e-06, eta: 2:32:43, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1925, decode.acc_seg: 92.3443, loss: 0.1925 2023-03-04 06:34:53,575 - mmseg - INFO - Iter [126850/160000] lr: 2.344e-06, eta: 2:32:30, time: 0.286, data_time: 0.053, memory: 67409, decode.loss_ce: 0.1864, decode.acc_seg: 92.4743, loss: 0.1864 2023-03-04 06:35:05,085 - mmseg - INFO - Iter [126900/160000] lr: 2.344e-06, eta: 2:32:15, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1915, decode.acc_seg: 92.3841, loss: 0.1915 2023-03-04 06:35:16,599 - mmseg - INFO - Iter [126950/160000] lr: 2.344e-06, eta: 2:32:01, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1885, decode.acc_seg: 92.1846, loss: 0.1885 2023-03-04 06:35:28,180 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 06:35:28,180 - mmseg - INFO - Iter [127000/160000] lr: 2.344e-06, eta: 2:31:46, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2035, decode.acc_seg: 91.7506, loss: 0.2035 2023-03-04 06:35:39,640 - mmseg - INFO - Iter [127050/160000] lr: 2.344e-06, eta: 2:31:32, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2066, decode.acc_seg: 91.7570, loss: 0.2066 2023-03-04 06:35:51,233 - mmseg - INFO - Iter [127100/160000] lr: 2.344e-06, eta: 2:31:18, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2052, decode.acc_seg: 91.8572, loss: 0.2052 2023-03-04 06:36:02,656 - mmseg - INFO - Iter [127150/160000] lr: 2.344e-06, eta: 2:31:03, time: 0.228, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1930, decode.acc_seg: 92.2120, loss: 0.1930 2023-03-04 06:36:14,126 - mmseg - INFO - Iter [127200/160000] lr: 2.344e-06, eta: 2:30:49, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1952, decode.acc_seg: 92.2225, loss: 0.1952 2023-03-04 06:36:26,091 - mmseg - INFO - Iter [127250/160000] lr: 2.344e-06, eta: 2:30:34, time: 0.239, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1942, decode.acc_seg: 92.1587, loss: 0.1942 2023-03-04 06:36:37,769 - mmseg - INFO - Iter [127300/160000] lr: 2.344e-06, eta: 2:30:20, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2007, decode.acc_seg: 91.9254, loss: 0.2007 2023-03-04 06:36:49,240 - mmseg - INFO - Iter [127350/160000] lr: 2.344e-06, eta: 2:30:06, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1945, decode.acc_seg: 92.1457, loss: 0.1945 2023-03-04 06:37:00,741 - mmseg - INFO - Iter [127400/160000] lr: 2.344e-06, eta: 2:29:51, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1965, decode.acc_seg: 92.0556, loss: 0.1965 2023-03-04 06:37:12,198 - mmseg - INFO - Iter [127450/160000] lr: 2.344e-06, eta: 2:29:37, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1923, decode.acc_seg: 92.3472, loss: 0.1923 2023-03-04 06:37:26,246 - mmseg - INFO - Iter [127500/160000] lr: 2.344e-06, eta: 2:29:23, time: 0.281, data_time: 0.052, memory: 67409, decode.loss_ce: 0.2017, decode.acc_seg: 92.0633, loss: 0.2017 2023-03-04 06:37:37,929 - mmseg - INFO - Iter [127550/160000] lr: 2.344e-06, eta: 2:29:09, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2052, decode.acc_seg: 91.8917, loss: 0.2052 2023-03-04 06:37:49,501 - mmseg - INFO - Iter [127600/160000] lr: 2.344e-06, eta: 2:28:55, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1952, decode.acc_seg: 92.0411, loss: 0.1952 2023-03-04 06:38:01,106 - mmseg - INFO - Iter [127650/160000] lr: 2.344e-06, eta: 2:28:40, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1935, decode.acc_seg: 92.1879, loss: 0.1935 2023-03-04 06:38:12,559 - mmseg - INFO - Iter [127700/160000] lr: 2.344e-06, eta: 2:28:26, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2068, decode.acc_seg: 91.7503, loss: 0.2068 2023-03-04 06:38:24,093 - mmseg - INFO - Iter [127750/160000] lr: 2.344e-06, eta: 2:28:12, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1915, decode.acc_seg: 92.2926, loss: 0.1915 2023-03-04 06:38:35,805 - mmseg - INFO - Iter [127800/160000] lr: 2.344e-06, eta: 2:27:57, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1955, decode.acc_seg: 92.1483, loss: 0.1955 2023-03-04 06:38:47,480 - mmseg - INFO - Iter [127850/160000] lr: 2.344e-06, eta: 2:27:43, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1992, decode.acc_seg: 91.9689, loss: 0.1992 2023-03-04 06:38:59,144 - mmseg - INFO - Iter [127900/160000] lr: 2.344e-06, eta: 2:27:29, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1992, decode.acc_seg: 92.0590, loss: 0.1992 2023-03-04 06:39:10,967 - mmseg - INFO - Iter [127950/160000] lr: 2.344e-06, eta: 2:27:14, time: 0.236, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2017, decode.acc_seg: 92.0109, loss: 0.2017 2023-03-04 06:39:22,597 - mmseg - INFO - Swap parameters (after train) after iter [128000] 2023-03-04 06:39:22,611 - mmseg - INFO - Saving checkpoint at 128000 iterations 2023-03-04 06:39:23,956 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 06:39:23,957 - mmseg - INFO - Iter [128000/160000] lr: 2.344e-06, eta: 2:27:00, time: 0.260, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1957, decode.acc_seg: 92.1939, loss: 0.1957 2023-03-04 06:50:21,695 - mmseg - INFO - per class results: 2023-03-04 06:50:21,704 - mmseg - INFO - +---------------------+-------------------------------------------------------------------+ | Class | IoU 0,10,20,30,40,50,60,70,80,90,99 | +---------------------+-------------------------------------------------------------------+ | background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | | wall | 76.18,76.22,76.22,76.24,76.26,76.28,76.31,76.31,76.31,76.31,76.31 | | building | 82.56,82.58,82.57,82.57,82.59,82.61,82.6,82.61,82.61,82.63,82.62 | | sky | 94.15,94.16,94.17,94.17,94.17,94.18,94.17,94.18,94.18,94.18,94.19 | | floor | 78.91,78.93,78.95,78.98,78.98,79.01,79.02,79.01,79.02,79.03,79.01 | | tree | 73.29,73.33,73.35,73.37,73.39,73.37,73.39,73.41,73.41,73.4,73.45 | | ceiling | 82.66,82.67,82.66,82.65,82.66,82.64,82.68,82.66,82.67,82.66,82.59 | | road | 81.0,81.04,81.06,81.03,81.05,81.1,81.12,81.11,81.13,81.13,81.19 | | bed | 88.02,88.03,88.04,88.07,88.08,88.1,88.12,88.15,88.16,88.18,88.11 | | windowpane | 59.76,59.77,59.76,59.81,59.81,59.83,59.86,59.89,59.88,59.88,59.87 | | grass | 65.06,65.0,64.98,64.97,64.98,65.08,65.04,65.09,65.13,65.17,65.27 | | cabinet | 59.7,59.69,59.6,59.81,59.86,59.98,60.07,59.98,60.02,60.05,60.19 | | sidewalk | 64.72,64.81,64.81,64.78,64.81,64.9,64.87,64.85,64.87,64.82,64.93 | | person | 78.56,78.57,78.59,78.58,78.58,78.58,78.58,78.57,78.55,78.56,78.55 | | earth | 31.43,31.31,31.28,31.12,31.02,30.95,30.92,30.85,30.82,30.82,30.74 | | door | 46.49,46.62,46.56,46.68,46.73,46.82,46.86,46.88,46.83,46.93,47.19 | | table | 60.64,60.65,60.58,60.58,60.6,60.64,60.6,60.63,60.59,60.61,60.68 | | mountain | 52.16,52.13,52.23,52.08,52.11,52.0,52.08,52.07,52.08,52.08,52.0 | | plant | 51.62,51.74,51.72,51.77,51.86,51.84,51.81,51.8,51.79,51.76,51.91 | | curtain | 72.17,72.17,72.22,72.29,72.3,72.32,72.28,72.27,72.26,72.23,72.33 | | chair | 55.99,56.0,55.96,55.94,55.98,55.94,55.95,55.88,55.85,55.86,55.83 | | car | 81.8,81.8,81.82,81.79,81.8,81.79,81.8,81.75,81.73,81.71,81.68 | | water | 45.11,45.09,45.14,45.11,45.11,45.08,45.04,45.04,45.04,45.02,45.12 | | painting | 71.02,71.06,71.05,71.13,71.23,71.27,71.3,71.37,71.45,71.45,71.46 | | sofa | 64.85,64.83,64.89,64.88,64.98,65.1,65.15,65.23,65.3,65.32,65.07 | | shelf | 40.44,40.53,40.54,40.54,40.64,40.61,40.63,40.68,40.63,40.62,40.4 | | house | 46.1,46.23,46.21,46.31,46.35,46.42,46.47,46.5,46.48,46.57,46.57 | | sea | 43.06,42.99,43.04,42.98,43.03,43.02,43.02,42.94,42.9,42.9,42.91 | | mirror | 63.77,63.77,63.88,63.93,63.98,64.07,64.11,64.1,64.08,64.03,63.89 | | rug | 55.21,55.25,55.33,55.43,55.56,55.67,55.69,55.63,55.67,55.6,55.56 | | field | 22.85,22.85,22.82,22.8,22.77,22.79,22.79,22.79,22.86,22.82,22.77 | | armchair | 44.21,44.32,44.38,44.32,44.49,44.63,44.77,44.73,44.72,44.76,44.51 | | seat | 58.03,58.04,58.05,58.07,58.05,58.03,57.99,58.04,58.04,57.98,58.01 | | fence | 35.81,35.9,35.98,36.08,36.1,36.13,36.23,36.21,36.18,36.22,36.2 | | desk | 48.88,48.86,48.87,48.76,48.77,48.82,48.66,48.63,48.52,48.48,48.93 | | rock | 30.4,30.57,30.76,30.59,30.65,30.54,30.48,30.69,30.59,30.62,30.64 | | wardrobe | 44.54,44.36,44.08,44.47,44.6,44.8,44.97,45.07,45.24,45.8,45.89 | | lamp | 63.34,63.42,63.43,63.49,63.51,63.5,63.51,63.5,63.54,63.54,63.48 | | bathtub | 77.21,77.2,77.49,77.51,77.55,77.72,77.8,77.85,77.79,77.91,77.73 | | railing | 29.03,29.05,29.07,29.08,29.07,29.18,29.12,29.15,29.13,29.13,29.2 | | cushion | 54.41,54.47,54.57,54.59,54.63,54.74,54.69,54.74,54.73,54.76,54.43 | | base | 21.45,21.44,21.52,21.57,21.55,21.6,21.62,21.65,21.68,21.69,21.81 | | box | 22.51,22.42,22.53,22.53,22.52,22.43,22.41,22.5,22.59,22.54,22.66 | | column | 45.57,45.67,45.66,45.74,45.87,45.84,45.88,45.87,45.84,45.85,46.32 | | signboard | 36.18,36.12,36.12,36.22,36.24,36.32,36.3,36.33,36.44,36.51,36.49 | | chest of drawers | 37.74,37.56,37.65,37.64,37.64,37.65,37.44,37.31,37.31,37.18,37.2 | | counter | 25.39,25.1,24.98,25.0,24.8,24.58,24.46,24.35,24.25,24.12,24.2 | | sand | 30.92,30.77,30.63,30.44,30.26,30.16,30.12,29.96,29.86,29.83,29.57 | | sink | 68.74,68.72,68.87,68.96,69.03,69.01,69.04,69.07,69.13,69.17,69.16 | | skyscraper | 60.01,60.28,59.56,59.28,59.92,60.0,59.61,59.83,59.8,59.98,59.86 | | fireplace | 70.87,70.82,70.66,70.64,70.61,70.51,70.52,70.55,70.5,70.47,70.41 | | refrigerator | 71.54,71.56,71.56,71.61,71.68,71.5,71.6,71.67,71.71,71.76,71.67 | | grandstand | 39.33,39.33,39.33,39.28,39.15,39.16,39.08,39.12,39.18,39.06,38.75 | | path | 16.67,16.79,16.89,16.91,17.04,17.17,17.08,17.08,17.3,17.39,17.38 | | stairs | 30.36,30.34,30.36,30.35,30.32,30.33,30.32,30.39,30.36,30.39,30.37 | | runway | 60.59,60.71,60.81,60.92,61.03,61.14,61.26,61.35,61.43,61.56,61.66 | | case | 44.54,44.51,44.51,44.58,44.53,44.35,44.31,44.22,44.25,44.08,43.95 | | pool table | 91.8,91.81,91.79,91.78,91.78,91.8,91.77,91.81,91.81,91.78,91.73 | | pillow | 55.54,55.65,55.59,55.63,55.65,55.66,55.71,55.73,55.61,55.63,55.59 | | screen door | 65.92,66.14,66.46,66.34,66.79,67.48,67.45,67.4,67.51,67.28,67.59 | | stairway | 31.8,31.83,31.77,31.75,31.68,31.64,31.62,31.59,31.49,31.43,31.42 | | river | 12.19,12.17,12.16,12.17,12.15,12.16,12.15,12.15,12.15,12.12,12.17 | | bridge | 63.18,63.43,63.53,63.52,63.39,63.24,63.47,63.35,63.3,63.32,63.32 | | bookcase | 40.68,40.77,40.83,40.75,40.79,40.92,40.88,41.08,40.96,40.89,40.48 | | blind | 41.16,41.18,41.24,41.21,41.13,40.91,41.05,40.89,40.75,40.61,40.72 | | coffee table | 58.4,58.46,58.26,58.36,58.31,58.51,58.29,58.42,58.41,58.54,58.19 | | toilet | 86.12,86.17,86.14,86.11,86.14,86.12,86.12,86.07,86.08,86.04,86.07 | | flower | 34.23,34.2,34.21,34.16,34.22,34.21,34.12,34.18,34.17,34.15,34.14 | | book | 46.05,46.09,46.13,46.29,46.29,46.45,46.45,46.57,46.63,46.65,46.48 | | hill | 4.06,3.98,3.97,3.96,4.0,4.03,4.0,4.01,4.0,4.03,3.96 | | bench | 37.62,37.65,37.68,37.82,37.79,37.93,37.94,38.1,38.2,38.11,37.83 | | countertop | 56.93,57.37,57.31,57.33,57.58,57.34,57.36,57.34,57.42,57.46,57.56 | | stove | 72.69,72.62,72.66,72.73,72.73,72.76,72.78,72.79,72.81,72.85,72.78 | | palm | 50.88,50.92,50.89,50.95,50.89,50.95,51.02,51.08,51.12,51.06,50.91 | | kitchen island | 47.44,47.43,47.26,47.17,47.08,46.83,46.92,46.93,46.77,46.75,46.7 | | computer | 55.61,55.66,55.71,55.63,55.6,55.68,55.73,55.67,55.67,55.66,55.59 | | swivel chair | 44.96,44.96,45.07,44.89,44.93,45.03,45.04,44.98,44.97,45.02,44.91 | | boat | 48.28,48.31,48.39,48.24,48.1,48.05,47.99,48.2,48.14,48.15,48.41 | | bar | 23.9,23.88,23.89,23.93,23.91,23.94,23.96,23.97,24.04,24.02,24.11 | | arcade machine | 24.81,24.95,24.72,25.2,24.81,24.8,25.05,24.85,24.8,24.96,25.1 | | hovel | 37.57,37.76,37.79,37.83,37.89,37.93,38.06,37.99,37.9,37.89,38.03 | | bus | 79.18,79.11,78.98,78.96,79.0,78.88,78.94,78.8,78.82,78.75,78.61 | | towel | 56.53,56.51,56.48,56.59,56.59,56.61,56.67,56.63,56.7,56.72,56.82 | | light | 54.81,54.66,54.63,54.66,54.43,54.39,54.36,54.23,54.25,54.15,54.0 | | truck | 33.62,33.61,33.74,33.8,34.04,33.81,33.93,33.95,33.96,33.95,33.94 | | tower | 31.61,31.71,31.46,31.42,31.27,31.57,31.43,31.2,31.16,31.19,31.23 | | chandelier | 68.35,68.34,68.39,68.41,68.48,68.44,68.5,68.52,68.53,68.54,68.45 | | awning | 23.98,24.04,24.06,24.11,24.13,23.97,24.1,24.06,24.11,24.13,24.17 | | streetlight | 26.76,26.73,26.79,26.78,26.92,26.87,26.88,26.91,26.91,26.91,26.88 | | booth | 41.73,41.73,42.17,42.0,42.25,42.16,42.34,42.53,42.54,42.77,42.91 | | television receiver | 67.79,67.77,67.75,67.75,67.78,67.57,67.52,67.6,67.65,67.69,67.58 | | airplane | 51.25,51.06,51.02,50.87,50.77,50.68,50.59,50.55,50.48,50.5,50.48 | | dirt track | 3.33,3.37,3.35,3.36,3.34,3.31,3.34,3.32,3.27,3.26,3.23 | | apparel | 28.18,28.22,28.26,28.33,28.36,28.37,28.51,28.52,28.44,28.48,28.54 | | pole | 23.86,23.82,23.73,23.72,23.76,23.68,23.63,23.66,23.63,23.6,23.54 | | land | 0.66,0.65,0.65,0.66,0.65,0.64,0.65,0.66,0.64,0.65,0.67 | | bannister | 9.43,9.51,9.61,9.7,9.68,9.83,9.95,10.07,10.13,10.32,10.21 | | escalator | 21.96,21.99,21.98,21.89,21.85,22.02,21.9,21.81,21.77,21.81,21.71 | | ottoman | 43.73,43.73,43.64,43.47,43.54,43.46,43.32,43.24,43.28,43.27,42.65 | | bottle | 12.4,12.45,12.45,12.43,12.42,12.47,12.54,12.55,12.68,12.62,12.73 | | buffet | 34.34,34.35,34.37,34.38,34.37,34.4,34.35,34.39,34.42,34.4,34.36 | | poster | 25.22,25.26,25.25,25.53,25.65,25.98,26.02,25.88,25.95,26.01,25.81 | | stage | 11.08,11.12,11.14,10.97,10.85,10.59,10.45,10.32,10.19,10.16,10.13 | | van | 43.26,43.33,43.3,43.29,43.31,43.43,43.68,43.42,43.87,43.83,44.01 | | ship | 72.11,72.59,72.48,72.75,72.96,72.87,73.23,73.43,73.48,73.61,73.6 | | fountain | 0.55,0.54,0.56,0.59,0.59,0.58,0.6,0.62,0.62,0.62,0.62 | | conveyer belt | 60.75,60.55,60.65,60.68,60.64,60.83,60.69,60.34,60.59,60.39,60.81 | | canopy | 16.05,16.32,16.39,16.49,16.48,16.53,16.59,16.6,16.64,16.69,16.7 | | washer | 64.27,64.23,64.12,64.07,64.09,64.0,63.95,63.95,63.94,63.92,63.83 | | plaything | 24.38,24.36,24.35,24.46,24.54,24.52,24.68,24.6,24.72,24.67,24.74 | | swimming pool | 28.02,28.1,28.07,28.17,28.22,28.28,28.34,28.3,28.35,28.33,28.43 | | stool | 42.47,42.52,42.46,42.6,42.61,42.57,42.73,42.62,42.71,42.77,42.57 | | barrel | 40.7,40.45,40.34,39.69,39.2,38.67,38.54,37.94,37.88,37.54,37.36 | | basket | 21.11,21.14,21.01,20.97,20.91,20.79,20.73,20.65,20.7,20.64,20.5 | | waterfall | 50.09,49.89,49.96,48.85,49.59,48.8,48.56,48.02,48.0,47.84,48.11 | | tent | 91.85,91.81,91.58,91.55,91.46,91.35,91.32,91.18,91.27,91.2,91.16 | | bag | 9.7,9.62,9.64,9.79,9.57,9.64,9.46,9.51,9.42,9.37,9.3 | | minibike | 51.51,51.34,51.41,50.91,50.97,50.97,51.27,51.04,50.9,51.05,49.94 | | cradle | 75.77,75.79,75.81,75.85,75.89,75.95,75.96,75.94,75.98,75.97,75.97 | | oven | 23.01,23.0,22.98,23.03,22.88,22.75,22.74,22.81,22.53,22.27,22.74 | | ball | 46.71,46.85,46.91,46.98,46.97,46.96,47.01,47.04,47.15,47.15,47.13 | | food | 48.04,48.03,47.78,47.71,47.54,47.35,47.2,47.05,46.98,46.86,46.73 | | step | 5.45,5.29,5.25,5.27,5.29,5.19,5.14,5.12,5.07,4.93,4.97 | | tank | 47.82,47.83,47.81,47.82,47.78,47.76,47.76,47.74,47.67,47.59,47.58 | | trade name | 20.16,20.2,20.05,20.2,19.82,20.14,20.04,20.13,20.06,20.05,19.96 | | microwave | 39.44,39.38,39.35,39.35,39.34,39.16,39.02,39.09,39.06,39.03,38.92 | | pot | 37.3,37.25,37.15,37.3,37.32,37.21,37.17,37.06,37.16,36.98,36.95 | | animal | 51.3,51.43,51.4,51.52,51.59,51.71,51.64,51.63,51.65,51.65,51.65 | | bicycle | 44.84,44.73,44.81,44.73,44.79,44.78,44.76,44.81,44.73,44.67,44.65 | | lake | 59.82,59.58,59.85,59.71,59.59,59.63,59.54,59.69,59.56,59.49,59.75 | | dishwasher | 72.9,73.4,72.87,73.05,73.0,72.68,72.78,72.8,72.68,72.7,72.79 | | screen | 56.46,56.34,55.99,55.98,55.71,55.5,55.37,55.49,55.25,55.17,54.95 | | blanket | 6.46,6.5,6.55,6.57,6.55,6.58,6.63,6.56,6.66,6.66,6.67 | | sculpture | 42.14,42.06,42.02,41.59,41.61,41.41,41.15,41.14,40.88,40.61,40.6 | | hood | 60.91,61.04,61.15,60.92,61.17,61.09,61.1,61.24,61.23,61.3,61.08 | | sconce | 42.21,42.27,42.3,42.4,42.41,42.45,42.46,42.51,42.46,42.52,42.54 | | vase | 32.62,32.77,32.69,32.63,32.72,32.73,32.79,32.91,32.88,32.98,32.91 | | traffic light | 28.62,28.45,28.41,28.4,28.32,28.27,28.28,28.31,28.08,27.95,28.18 | | tray | 5.45,5.54,5.7,5.7,5.82,5.91,5.94,6.02,6.0,6.06,6.07 | | ashcan | 42.51,42.75,42.77,42.97,43.01,43.02,42.97,43.15,43.28,43.33,43.31 | | fan | 57.69,57.6,57.58,57.74,57.66,57.55,57.52,57.68,57.66,57.65,57.69 | | pier | 20.45,20.32,20.47,20.54,20.26,20.02,20.06,20.14,20.18,19.98,19.51 | | crt screen | 6.05,6.05,6.13,6.17,6.08,6.21,6.3,6.47,6.38,6.53,6.68 | | plate | 41.18,41.3,41.26,41.49,41.53,41.69,41.63,41.58,41.55,41.48,41.73 | | monitor | 62.28,62.35,62.46,62.47,62.83,62.94,63.19,63.14,63.04,63.04,63.0 | | bulletin board | 37.02,37.54,37.84,38.38,38.92,39.01,39.49,39.65,39.9,40.03,39.76 | | shower | 0.7,0.67,0.66,0.66,0.67,0.67,0.66,0.66,0.67,0.65,0.66 | | radiator | 41.84,41.76,41.92,41.75,41.71,41.75,41.81,41.65,41.44,41.28,41.72 | | glass | 9.76,9.68,9.69,9.63,9.59,9.55,9.55,9.49,9.41,9.39,9.4 | | clock | 19.37,19.42,19.31,19.1,18.91,18.8,18.89,18.6,18.41,18.4,18.16 | | flag | 41.4,41.46,41.32,41.47,41.5,41.34,41.42,41.34,41.43,41.37,41.64 | +---------------------+-------------------------------------------------------------------+ 2023-03-04 06:50:21,704 - mmseg - INFO - Summary: 2023-03-04 06:50:21,704 - mmseg - INFO - +-------------------------------------------------------------------+ | mIoU 0,10,20,30,40,50,60,70,80,90,99 | +-------------------------------------------------------------------+ | 45.22,45.24,45.24,45.24,45.26,45.25,45.26,45.25,45.25,45.24,45.22 | +-------------------------------------------------------------------+ 2023-03-04 06:50:21,705 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 06:50:21,705 - mmseg - INFO - Iter(val) [250] mIoU: [0.4522, 0.4524, 0.4524, 0.4524, 0.4526, 0.4525, 0.4526, 0.4525, 0.4525, 0.4524, 0.4522], copy_paste: 45.22,45.24,45.24,45.24,45.26,45.25,45.26,45.25,45.25,45.24,45.22 2023-03-04 06:50:21,715 - mmseg - INFO - Swap parameters (before train) before iter [128001] 2023-03-04 06:50:33,656 - mmseg - INFO - Iter [128050/160000] lr: 2.344e-06, eta: 2:29:30, time: 13.394, data_time: 13.162, memory: 67409, decode.loss_ce: 0.1978, decode.acc_seg: 92.0693, loss: 0.1978 2023-03-04 06:50:47,977 - mmseg - INFO - Iter [128100/160000] lr: 2.344e-06, eta: 2:29:16, time: 0.286, data_time: 0.058, memory: 67409, decode.loss_ce: 0.1920, decode.acc_seg: 92.3752, loss: 0.1920 2023-03-04 06:50:59,745 - mmseg - INFO - Iter [128150/160000] lr: 2.344e-06, eta: 2:29:02, time: 0.235, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1946, decode.acc_seg: 92.1380, loss: 0.1946 2023-03-04 06:51:11,306 - mmseg - INFO - Iter [128200/160000] lr: 2.344e-06, eta: 2:28:47, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1967, decode.acc_seg: 91.9953, loss: 0.1967 2023-03-04 06:51:22,945 - mmseg - INFO - Iter [128250/160000] lr: 2.344e-06, eta: 2:28:32, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2052, decode.acc_seg: 91.8261, loss: 0.2052 2023-03-04 06:51:34,577 - mmseg - INFO - Iter [128300/160000] lr: 2.344e-06, eta: 2:28:18, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1980, decode.acc_seg: 92.1468, loss: 0.1980 2023-03-04 06:51:46,015 - mmseg - INFO - Iter [128350/160000] lr: 2.344e-06, eta: 2:28:03, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2003, decode.acc_seg: 91.9446, loss: 0.2003 2023-03-04 06:51:57,481 - mmseg - INFO - Iter [128400/160000] lr: 2.344e-06, eta: 2:27:48, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1923, decode.acc_seg: 92.3047, loss: 0.1923 2023-03-04 06:52:09,169 - mmseg - INFO - Iter [128450/160000] lr: 2.344e-06, eta: 2:27:34, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1915, decode.acc_seg: 92.2742, loss: 0.1915 2023-03-04 06:52:20,762 - mmseg - INFO - Iter [128500/160000] lr: 2.344e-06, eta: 2:27:19, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1955, decode.acc_seg: 92.0767, loss: 0.1955 2023-03-04 06:52:32,337 - mmseg - INFO - Iter [128550/160000] lr: 2.344e-06, eta: 2:27:04, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1924, decode.acc_seg: 92.1493, loss: 0.1924 2023-03-04 06:52:43,874 - mmseg - INFO - Iter [128600/160000] lr: 2.344e-06, eta: 2:26:50, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2032, decode.acc_seg: 91.9932, loss: 0.2032 2023-03-04 06:52:55,708 - mmseg - INFO - Iter [128650/160000] lr: 2.344e-06, eta: 2:26:35, time: 0.237, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1946, decode.acc_seg: 92.2920, loss: 0.1946 2023-03-04 06:53:07,119 - mmseg - INFO - Iter [128700/160000] lr: 2.344e-06, eta: 2:26:21, time: 0.228, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1975, decode.acc_seg: 92.0822, loss: 0.1975 2023-03-04 06:53:21,386 - mmseg - INFO - Iter [128750/160000] lr: 2.344e-06, eta: 2:26:07, time: 0.285, data_time: 0.054, memory: 67409, decode.loss_ce: 0.1958, decode.acc_seg: 92.0175, loss: 0.1958 2023-03-04 06:53:32,923 - mmseg - INFO - Iter [128800/160000] lr: 2.344e-06, eta: 2:25:52, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2005, decode.acc_seg: 92.0810, loss: 0.2005 2023-03-04 06:53:44,628 - mmseg - INFO - Iter [128850/160000] lr: 2.344e-06, eta: 2:25:37, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1957, decode.acc_seg: 92.2730, loss: 0.1957 2023-03-04 06:53:56,326 - mmseg - INFO - Iter [128900/160000] lr: 2.344e-06, eta: 2:25:23, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2016, decode.acc_seg: 91.9143, loss: 0.2016 2023-03-04 06:54:07,800 - mmseg - INFO - Iter [128950/160000] lr: 2.344e-06, eta: 2:25:08, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1916, decode.acc_seg: 92.2528, loss: 0.1916 2023-03-04 06:54:19,271 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 06:54:19,272 - mmseg - INFO - Iter [129000/160000] lr: 2.344e-06, eta: 2:24:54, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1978, decode.acc_seg: 92.1954, loss: 0.1978 2023-03-04 06:54:30,925 - mmseg - INFO - Iter [129050/160000] lr: 2.344e-06, eta: 2:24:39, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2042, decode.acc_seg: 91.9501, loss: 0.2042 2023-03-04 06:54:42,473 - mmseg - INFO - Iter [129100/160000] lr: 2.344e-06, eta: 2:24:24, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1991, decode.acc_seg: 92.0742, loss: 0.1991 2023-03-04 06:54:54,017 - mmseg - INFO - Iter [129150/160000] lr: 2.344e-06, eta: 2:24:10, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1919, decode.acc_seg: 92.2355, loss: 0.1919 2023-03-04 06:55:05,521 - mmseg - INFO - Iter [129200/160000] lr: 2.344e-06, eta: 2:23:55, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1937, decode.acc_seg: 92.1595, loss: 0.1937 2023-03-04 06:55:17,312 - mmseg - INFO - Iter [129250/160000] lr: 2.344e-06, eta: 2:23:41, time: 0.236, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2001, decode.acc_seg: 91.9154, loss: 0.2001 2023-03-04 06:55:28,754 - mmseg - INFO - Iter [129300/160000] lr: 2.344e-06, eta: 2:23:26, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1967, decode.acc_seg: 92.1856, loss: 0.1967 2023-03-04 06:55:40,382 - mmseg - INFO - Iter [129350/160000] lr: 2.344e-06, eta: 2:23:11, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1932, decode.acc_seg: 92.1397, loss: 0.1932 2023-03-04 06:55:54,498 - mmseg - INFO - Iter [129400/160000] lr: 2.344e-06, eta: 2:22:57, time: 0.282, data_time: 0.058, memory: 67409, decode.loss_ce: 0.1911, decode.acc_seg: 92.1969, loss: 0.1911 2023-03-04 06:56:06,129 - mmseg - INFO - Iter [129450/160000] lr: 2.344e-06, eta: 2:22:43, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1899, decode.acc_seg: 92.3780, loss: 0.1899 2023-03-04 06:56:17,709 - mmseg - INFO - Iter [129500/160000] lr: 2.344e-06, eta: 2:22:28, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1929, decode.acc_seg: 92.1553, loss: 0.1929 2023-03-04 06:56:29,264 - mmseg - INFO - Iter [129550/160000] lr: 2.344e-06, eta: 2:22:14, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2060, decode.acc_seg: 91.8072, loss: 0.2060 2023-03-04 06:56:41,003 - mmseg - INFO - Iter [129600/160000] lr: 2.344e-06, eta: 2:21:59, time: 0.235, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1967, decode.acc_seg: 92.0700, loss: 0.1967 2023-03-04 06:56:52,823 - mmseg - INFO - Iter [129650/160000] lr: 2.344e-06, eta: 2:21:45, time: 0.236, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1890, decode.acc_seg: 92.5577, loss: 0.1890 2023-03-04 06:57:04,373 - mmseg - INFO - Iter [129700/160000] lr: 2.344e-06, eta: 2:21:30, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1966, decode.acc_seg: 91.9351, loss: 0.1966 2023-03-04 06:57:15,959 - mmseg - INFO - Iter [129750/160000] lr: 2.344e-06, eta: 2:21:15, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1992, decode.acc_seg: 92.1587, loss: 0.1992 2023-03-04 06:57:27,407 - mmseg - INFO - Iter [129800/160000] lr: 2.344e-06, eta: 2:21:01, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2004, decode.acc_seg: 91.9481, loss: 0.2004 2023-03-04 06:57:39,022 - mmseg - INFO - Iter [129850/160000] lr: 2.344e-06, eta: 2:20:46, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2008, decode.acc_seg: 92.0316, loss: 0.2008 2023-03-04 06:57:50,711 - mmseg - INFO - Iter [129900/160000] lr: 2.344e-06, eta: 2:20:32, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2006, decode.acc_seg: 91.8810, loss: 0.2006 2023-03-04 06:58:02,239 - mmseg - INFO - Iter [129950/160000] lr: 2.344e-06, eta: 2:20:17, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2006, decode.acc_seg: 91.9393, loss: 0.2006 2023-03-04 06:58:16,414 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 06:58:16,415 - mmseg - INFO - Iter [130000/160000] lr: 2.344e-06, eta: 2:20:03, time: 0.284, data_time: 0.053, memory: 67409, decode.loss_ce: 0.1973, decode.acc_seg: 92.1392, loss: 0.1973 2023-03-04 06:58:27,994 - mmseg - INFO - Iter [130050/160000] lr: 2.344e-06, eta: 2:19:49, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1987, decode.acc_seg: 92.0834, loss: 0.1987 2023-03-04 06:58:39,448 - mmseg - INFO - Iter [130100/160000] lr: 2.344e-06, eta: 2:19:34, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1927, decode.acc_seg: 92.2175, loss: 0.1927 2023-03-04 06:58:51,112 - mmseg - INFO - Iter [130150/160000] lr: 2.344e-06, eta: 2:19:19, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2003, decode.acc_seg: 92.0027, loss: 0.2003 2023-03-04 06:59:02,608 - mmseg - INFO - Iter [130200/160000] lr: 2.344e-06, eta: 2:19:05, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1987, decode.acc_seg: 91.9753, loss: 0.1987 2023-03-04 06:59:14,228 - mmseg - INFO - Iter [130250/160000] lr: 2.344e-06, eta: 2:18:50, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1987, decode.acc_seg: 92.0367, loss: 0.1987 2023-03-04 06:59:25,767 - mmseg - INFO - Iter [130300/160000] lr: 2.344e-06, eta: 2:18:36, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1925, decode.acc_seg: 92.2992, loss: 0.1925 2023-03-04 06:59:37,469 - mmseg - INFO - Iter [130350/160000] lr: 2.344e-06, eta: 2:18:21, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2001, decode.acc_seg: 91.9226, loss: 0.2001 2023-03-04 06:59:49,049 - mmseg - INFO - Iter [130400/160000] lr: 2.344e-06, eta: 2:18:07, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1916, decode.acc_seg: 92.1525, loss: 0.1916 2023-03-04 07:00:00,552 - mmseg - INFO - Iter [130450/160000] lr: 2.344e-06, eta: 2:17:52, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1871, decode.acc_seg: 92.4010, loss: 0.1871 2023-03-04 07:00:11,985 - mmseg - INFO - Iter [130500/160000] lr: 2.344e-06, eta: 2:17:38, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2011, decode.acc_seg: 91.9566, loss: 0.2011 2023-03-04 07:00:23,631 - mmseg - INFO - Iter [130550/160000] lr: 2.344e-06, eta: 2:17:23, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1968, decode.acc_seg: 92.0309, loss: 0.1968 2023-03-04 07:00:35,077 - mmseg - INFO - Iter [130600/160000] lr: 2.344e-06, eta: 2:17:08, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1977, decode.acc_seg: 92.0631, loss: 0.1977 2023-03-04 07:00:49,124 - mmseg - INFO - Iter [130650/160000] lr: 2.344e-06, eta: 2:16:54, time: 0.281, data_time: 0.055, memory: 67409, decode.loss_ce: 0.1971, decode.acc_seg: 91.9617, loss: 0.1971 2023-03-04 07:01:00,635 - mmseg - INFO - Iter [130700/160000] lr: 2.344e-06, eta: 2:16:40, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2041, decode.acc_seg: 91.9348, loss: 0.2041 2023-03-04 07:01:12,694 - mmseg - INFO - Iter [130750/160000] lr: 2.344e-06, eta: 2:16:25, time: 0.241, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1921, decode.acc_seg: 92.3462, loss: 0.1921 2023-03-04 07:01:24,285 - mmseg - INFO - Iter [130800/160000] lr: 2.344e-06, eta: 2:16:11, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1942, decode.acc_seg: 92.1901, loss: 0.1942 2023-03-04 07:01:35,858 - mmseg - INFO - Iter [130850/160000] lr: 2.344e-06, eta: 2:15:56, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1927, decode.acc_seg: 92.1679, loss: 0.1927 2023-03-04 07:01:47,529 - mmseg - INFO - Iter [130900/160000] lr: 2.344e-06, eta: 2:15:42, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2029, decode.acc_seg: 91.7433, loss: 0.2029 2023-03-04 07:01:58,979 - mmseg - INFO - Iter [130950/160000] lr: 2.344e-06, eta: 2:15:27, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1895, decode.acc_seg: 92.3019, loss: 0.1895 2023-03-04 07:02:10,542 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 07:02:10,543 - mmseg - INFO - Iter [131000/160000] lr: 2.344e-06, eta: 2:15:13, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2005, decode.acc_seg: 92.0525, loss: 0.2005 2023-03-04 07:02:22,055 - mmseg - INFO - Iter [131050/160000] lr: 2.344e-06, eta: 2:14:58, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1876, decode.acc_seg: 92.3524, loss: 0.1876 2023-03-04 07:02:33,692 - mmseg - INFO - Iter [131100/160000] lr: 2.344e-06, eta: 2:14:44, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1969, decode.acc_seg: 92.0805, loss: 0.1969 2023-03-04 07:02:45,199 - mmseg - INFO - Iter [131150/160000] lr: 2.344e-06, eta: 2:14:29, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1976, decode.acc_seg: 92.1191, loss: 0.1976 2023-03-04 07:02:56,729 - mmseg - INFO - Iter [131200/160000] lr: 2.344e-06, eta: 2:14:15, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1982, decode.acc_seg: 92.0503, loss: 0.1982 2023-03-04 07:03:10,731 - mmseg - INFO - Iter [131250/160000] lr: 2.344e-06, eta: 2:14:01, time: 0.280, data_time: 0.052, memory: 67409, decode.loss_ce: 0.1964, decode.acc_seg: 92.1171, loss: 0.1964 2023-03-04 07:03:22,261 - mmseg - INFO - Iter [131300/160000] lr: 2.344e-06, eta: 2:13:46, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1937, decode.acc_seg: 92.1684, loss: 0.1937 2023-03-04 07:03:33,916 - mmseg - INFO - Iter [131350/160000] lr: 2.344e-06, eta: 2:13:32, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1980, decode.acc_seg: 92.0977, loss: 0.1980 2023-03-04 07:03:45,423 - mmseg - INFO - Iter [131400/160000] lr: 2.344e-06, eta: 2:13:17, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1988, decode.acc_seg: 92.2557, loss: 0.1988 2023-03-04 07:03:56,888 - mmseg - INFO - Iter [131450/160000] lr: 2.344e-06, eta: 2:13:03, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2013, decode.acc_seg: 92.0379, loss: 0.2013 2023-03-04 07:04:08,514 - mmseg - INFO - Iter [131500/160000] lr: 2.344e-06, eta: 2:12:48, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2050, decode.acc_seg: 91.7153, loss: 0.2050 2023-03-04 07:04:20,423 - mmseg - INFO - Iter [131550/160000] lr: 2.344e-06, eta: 2:12:34, time: 0.238, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1998, decode.acc_seg: 92.0280, loss: 0.1998 2023-03-04 07:04:31,938 - mmseg - INFO - Iter [131600/160000] lr: 2.344e-06, eta: 2:12:19, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1931, decode.acc_seg: 92.2050, loss: 0.1931 2023-03-04 07:04:43,660 - mmseg - INFO - Iter [131650/160000] lr: 2.344e-06, eta: 2:12:05, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1981, decode.acc_seg: 92.1700, loss: 0.1981 2023-03-04 07:04:55,487 - mmseg - INFO - Iter [131700/160000] lr: 2.344e-06, eta: 2:11:50, time: 0.237, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1957, decode.acc_seg: 92.0388, loss: 0.1957 2023-03-04 07:05:07,079 - mmseg - INFO - Iter [131750/160000] lr: 2.344e-06, eta: 2:11:36, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1887, decode.acc_seg: 92.2755, loss: 0.1887 2023-03-04 07:05:18,526 - mmseg - INFO - Iter [131800/160000] lr: 2.344e-06, eta: 2:11:21, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1936, decode.acc_seg: 92.2347, loss: 0.1936 2023-03-04 07:05:30,440 - mmseg - INFO - Iter [131850/160000] lr: 2.344e-06, eta: 2:11:07, time: 0.238, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1947, decode.acc_seg: 92.1997, loss: 0.1947 2023-03-04 07:05:44,558 - mmseg - INFO - Iter [131900/160000] lr: 2.344e-06, eta: 2:10:53, time: 0.282, data_time: 0.054, memory: 67409, decode.loss_ce: 0.1909, decode.acc_seg: 92.3137, loss: 0.1909 2023-03-04 07:05:56,030 - mmseg - INFO - Iter [131950/160000] lr: 2.344e-06, eta: 2:10:38, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1981, decode.acc_seg: 92.0988, loss: 0.1981 2023-03-04 07:06:07,633 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 07:06:07,633 - mmseg - INFO - Iter [132000/160000] lr: 2.344e-06, eta: 2:10:24, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2018, decode.acc_seg: 91.9911, loss: 0.2018 2023-03-04 07:06:19,135 - mmseg - INFO - Iter [132050/160000] lr: 2.344e-06, eta: 2:10:10, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1957, decode.acc_seg: 91.9499, loss: 0.1957 2023-03-04 07:06:30,686 - mmseg - INFO - Iter [132100/160000] lr: 2.344e-06, eta: 2:09:55, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1983, decode.acc_seg: 91.9481, loss: 0.1983 2023-03-04 07:06:42,478 - mmseg - INFO - Iter [132150/160000] lr: 2.344e-06, eta: 2:09:41, time: 0.236, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1956, decode.acc_seg: 92.1894, loss: 0.1956 2023-03-04 07:06:54,033 - mmseg - INFO - Iter [132200/160000] lr: 2.344e-06, eta: 2:09:26, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1915, decode.acc_seg: 92.2545, loss: 0.1915 2023-03-04 07:07:05,716 - mmseg - INFO - Iter [132250/160000] lr: 2.344e-06, eta: 2:09:12, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1968, decode.acc_seg: 91.9591, loss: 0.1968 2023-03-04 07:07:17,301 - mmseg - INFO - Iter [132300/160000] lr: 2.344e-06, eta: 2:08:57, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1943, decode.acc_seg: 92.3741, loss: 0.1943 2023-03-04 07:07:28,958 - mmseg - INFO - Iter [132350/160000] lr: 2.344e-06, eta: 2:08:43, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1911, decode.acc_seg: 92.3949, loss: 0.1911 2023-03-04 07:07:40,775 - mmseg - INFO - Iter [132400/160000] lr: 2.344e-06, eta: 2:08:28, time: 0.236, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2011, decode.acc_seg: 91.9443, loss: 0.2011 2023-03-04 07:07:52,338 - mmseg - INFO - Iter [132450/160000] lr: 2.344e-06, eta: 2:08:14, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2023, decode.acc_seg: 91.9248, loss: 0.2023 2023-03-04 07:08:03,937 - mmseg - INFO - Iter [132500/160000] lr: 2.344e-06, eta: 2:07:59, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1986, decode.acc_seg: 92.0666, loss: 0.1986 2023-03-04 07:08:18,017 - mmseg - INFO - Iter [132550/160000] lr: 2.344e-06, eta: 2:07:45, time: 0.282, data_time: 0.052, memory: 67409, decode.loss_ce: 0.1931, decode.acc_seg: 92.2487, loss: 0.1931 2023-03-04 07:08:29,532 - mmseg - INFO - Iter [132600/160000] lr: 2.344e-06, eta: 2:07:31, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1981, decode.acc_seg: 92.0956, loss: 0.1981 2023-03-04 07:08:41,160 - mmseg - INFO - Iter [132650/160000] lr: 2.344e-06, eta: 2:07:17, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1972, decode.acc_seg: 92.1549, loss: 0.1972 2023-03-04 07:08:52,709 - mmseg - INFO - Iter [132700/160000] lr: 2.344e-06, eta: 2:07:02, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1877, decode.acc_seg: 92.2568, loss: 0.1877 2023-03-04 07:09:04,290 - mmseg - INFO - Iter [132750/160000] lr: 2.344e-06, eta: 2:06:48, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1922, decode.acc_seg: 92.1862, loss: 0.1922 2023-03-04 07:09:15,753 - mmseg - INFO - Iter [132800/160000] lr: 2.344e-06, eta: 2:06:33, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1942, decode.acc_seg: 92.2334, loss: 0.1942 2023-03-04 07:09:27,468 - mmseg - INFO - Iter [132850/160000] lr: 2.344e-06, eta: 2:06:19, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1926, decode.acc_seg: 92.1447, loss: 0.1926 2023-03-04 07:09:39,004 - mmseg - INFO - Iter [132900/160000] lr: 2.344e-06, eta: 2:06:04, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2028, decode.acc_seg: 91.9526, loss: 0.2028 2023-03-04 07:09:50,635 - mmseg - INFO - Iter [132950/160000] lr: 2.344e-06, eta: 2:05:50, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1942, decode.acc_seg: 92.3013, loss: 0.1942 2023-03-04 07:10:02,593 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 07:10:02,593 - mmseg - INFO - Iter [133000/160000] lr: 2.344e-06, eta: 2:05:36, time: 0.239, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1914, decode.acc_seg: 92.1286, loss: 0.1914 2023-03-04 07:10:14,109 - mmseg - INFO - Iter [133050/160000] lr: 2.344e-06, eta: 2:05:21, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2000, decode.acc_seg: 91.7960, loss: 0.2000 2023-03-04 07:10:25,586 - mmseg - INFO - Iter [133100/160000] lr: 2.344e-06, eta: 2:05:07, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1993, decode.acc_seg: 92.1183, loss: 0.1993 2023-03-04 07:10:39,691 - mmseg - INFO - Iter [133150/160000] lr: 2.344e-06, eta: 2:04:53, time: 0.282, data_time: 0.052, memory: 67409, decode.loss_ce: 0.1912, decode.acc_seg: 92.1793, loss: 0.1912 2023-03-04 07:10:51,279 - mmseg - INFO - Iter [133200/160000] lr: 2.344e-06, eta: 2:04:38, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1912, decode.acc_seg: 92.4171, loss: 0.1912 2023-03-04 07:11:02,865 - mmseg - INFO - Iter [133250/160000] lr: 2.344e-06, eta: 2:04:24, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1883, decode.acc_seg: 92.4801, loss: 0.1883 2023-03-04 07:11:14,388 - mmseg - INFO - Iter [133300/160000] lr: 2.344e-06, eta: 2:04:09, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1989, decode.acc_seg: 92.0280, loss: 0.1989 2023-03-04 07:11:26,056 - mmseg - INFO - Iter [133350/160000] lr: 2.344e-06, eta: 2:03:55, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1894, decode.acc_seg: 92.3760, loss: 0.1894 2023-03-04 07:11:37,727 - mmseg - INFO - Iter [133400/160000] lr: 2.344e-06, eta: 2:03:41, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1933, decode.acc_seg: 92.2597, loss: 0.1933 2023-03-04 07:11:49,289 - mmseg - INFO - Iter [133450/160000] lr: 2.344e-06, eta: 2:03:26, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1941, decode.acc_seg: 92.2735, loss: 0.1941 2023-03-04 07:12:00,885 - mmseg - INFO - Iter [133500/160000] lr: 2.344e-06, eta: 2:03:12, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1929, decode.acc_seg: 92.1003, loss: 0.1929 2023-03-04 07:12:12,477 - mmseg - INFO - Iter [133550/160000] lr: 2.344e-06, eta: 2:02:57, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1994, decode.acc_seg: 92.0633, loss: 0.1994 2023-03-04 07:12:23,947 - mmseg - INFO - Iter [133600/160000] lr: 2.344e-06, eta: 2:02:43, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1897, decode.acc_seg: 92.4718, loss: 0.1897 2023-03-04 07:12:35,484 - mmseg - INFO - Iter [133650/160000] lr: 2.344e-06, eta: 2:02:28, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2012, decode.acc_seg: 91.9857, loss: 0.2012 2023-03-04 07:12:47,040 - mmseg - INFO - Iter [133700/160000] lr: 2.344e-06, eta: 2:02:14, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2063, decode.acc_seg: 91.6346, loss: 0.2063 2023-03-04 07:12:58,815 - mmseg - INFO - Iter [133750/160000] lr: 2.344e-06, eta: 2:02:00, time: 0.235, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1937, decode.acc_seg: 92.3190, loss: 0.1937 2023-03-04 07:13:12,932 - mmseg - INFO - Iter [133800/160000] lr: 2.344e-06, eta: 2:01:46, time: 0.282, data_time: 0.052, memory: 67409, decode.loss_ce: 0.1996, decode.acc_seg: 91.9875, loss: 0.1996 2023-03-04 07:13:24,474 - mmseg - INFO - Iter [133850/160000] lr: 2.344e-06, eta: 2:01:31, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1959, decode.acc_seg: 92.0805, loss: 0.1959 2023-03-04 07:13:36,162 - mmseg - INFO - Iter [133900/160000] lr: 2.344e-06, eta: 2:01:17, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1985, decode.acc_seg: 91.9272, loss: 0.1985 2023-03-04 07:13:47,679 - mmseg - INFO - Iter [133950/160000] lr: 2.344e-06, eta: 2:01:03, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1979, decode.acc_seg: 91.9506, loss: 0.1979 2023-03-04 07:13:59,365 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 07:13:59,365 - mmseg - INFO - Iter [134000/160000] lr: 2.344e-06, eta: 2:00:48, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2096, decode.acc_seg: 91.6481, loss: 0.2096 2023-03-04 07:14:10,987 - mmseg - INFO - Iter [134050/160000] lr: 2.344e-06, eta: 2:00:34, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1973, decode.acc_seg: 92.0947, loss: 0.1973 2023-03-04 07:14:22,562 - mmseg - INFO - Iter [134100/160000] lr: 2.344e-06, eta: 2:00:19, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1904, decode.acc_seg: 92.4334, loss: 0.1904 2023-03-04 07:14:34,245 - mmseg - INFO - Iter [134150/160000] lr: 2.344e-06, eta: 2:00:05, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1937, decode.acc_seg: 92.1899, loss: 0.1937 2023-03-04 07:14:45,955 - mmseg - INFO - Iter [134200/160000] lr: 2.344e-06, eta: 1:59:51, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1866, decode.acc_seg: 92.3361, loss: 0.1866 2023-03-04 07:14:57,522 - mmseg - INFO - Iter [134250/160000] lr: 2.344e-06, eta: 1:59:36, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1954, decode.acc_seg: 92.2935, loss: 0.1954 2023-03-04 07:15:08,962 - mmseg - INFO - Iter [134300/160000] lr: 2.344e-06, eta: 1:59:22, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2035, decode.acc_seg: 91.9267, loss: 0.2035 2023-03-04 07:15:20,565 - mmseg - INFO - Iter [134350/160000] lr: 2.344e-06, eta: 1:59:07, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2043, decode.acc_seg: 91.8346, loss: 0.2043 2023-03-04 07:15:32,083 - mmseg - INFO - Iter [134400/160000] lr: 2.344e-06, eta: 1:58:53, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1983, decode.acc_seg: 92.0026, loss: 0.1983 2023-03-04 07:15:46,265 - mmseg - INFO - Iter [134450/160000] lr: 2.344e-06, eta: 1:58:39, time: 0.284, data_time: 0.054, memory: 67409, decode.loss_ce: 0.2024, decode.acc_seg: 91.8954, loss: 0.2024 2023-03-04 07:15:57,773 - mmseg - INFO - Iter [134500/160000] lr: 2.344e-06, eta: 1:58:25, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1932, decode.acc_seg: 92.1229, loss: 0.1932 2023-03-04 07:16:09,318 - mmseg - INFO - Iter [134550/160000] lr: 2.344e-06, eta: 1:58:10, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1892, decode.acc_seg: 92.2562, loss: 0.1892 2023-03-04 07:16:20,887 - mmseg - INFO - Iter [134600/160000] lr: 2.344e-06, eta: 1:57:56, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1965, decode.acc_seg: 92.1359, loss: 0.1965 2023-03-04 07:16:32,449 - mmseg - INFO - Iter [134650/160000] lr: 2.344e-06, eta: 1:57:42, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1997, decode.acc_seg: 91.9192, loss: 0.1997 2023-03-04 07:16:44,081 - mmseg - INFO - Iter [134700/160000] lr: 2.344e-06, eta: 1:57:27, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1977, decode.acc_seg: 92.0982, loss: 0.1977 2023-03-04 07:16:55,660 - mmseg - INFO - Iter [134750/160000] lr: 2.344e-06, eta: 1:57:13, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1865, decode.acc_seg: 92.3582, loss: 0.1865 2023-03-04 07:17:07,322 - mmseg - INFO - Iter [134800/160000] lr: 2.344e-06, eta: 1:56:59, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2033, decode.acc_seg: 92.0094, loss: 0.2033 2023-03-04 07:17:18,789 - mmseg - INFO - Iter [134850/160000] lr: 2.344e-06, eta: 1:56:44, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1963, decode.acc_seg: 92.0636, loss: 0.1963 2023-03-04 07:17:30,277 - mmseg - INFO - Iter [134900/160000] lr: 2.344e-06, eta: 1:56:30, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1858, decode.acc_seg: 92.4671, loss: 0.1858 2023-03-04 07:17:41,741 - mmseg - INFO - Iter [134950/160000] lr: 2.344e-06, eta: 1:56:15, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1987, decode.acc_seg: 91.9021, loss: 0.1987 2023-03-04 07:17:53,238 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 07:17:53,238 - mmseg - INFO - Iter [135000/160000] lr: 2.344e-06, eta: 1:56:01, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2059, decode.acc_seg: 91.8366, loss: 0.2059 2023-03-04 07:18:07,331 - mmseg - INFO - Iter [135050/160000] lr: 2.344e-06, eta: 1:55:47, time: 0.282, data_time: 0.052, memory: 67409, decode.loss_ce: 0.1937, decode.acc_seg: 92.2257, loss: 0.1937 2023-03-04 07:18:18,875 - mmseg - INFO - Iter [135100/160000] lr: 2.344e-06, eta: 1:55:33, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1931, decode.acc_seg: 92.1398, loss: 0.1931 2023-03-04 07:18:30,528 - mmseg - INFO - Iter [135150/160000] lr: 2.344e-06, eta: 1:55:18, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2006, decode.acc_seg: 91.9290, loss: 0.2006 2023-03-04 07:18:42,070 - mmseg - INFO - Iter [135200/160000] lr: 2.344e-06, eta: 1:55:04, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1878, decode.acc_seg: 92.2671, loss: 0.1878 2023-03-04 07:18:53,530 - mmseg - INFO - Iter [135250/160000] lr: 2.344e-06, eta: 1:54:50, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1957, decode.acc_seg: 92.1871, loss: 0.1957 2023-03-04 07:19:05,171 - mmseg - INFO - Iter [135300/160000] lr: 2.344e-06, eta: 1:54:35, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1926, decode.acc_seg: 92.3906, loss: 0.1926 2023-03-04 07:19:16,761 - mmseg - INFO - Iter [135350/160000] lr: 2.344e-06, eta: 1:54:21, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1992, decode.acc_seg: 91.9850, loss: 0.1992 2023-03-04 07:19:28,249 - mmseg - INFO - Iter [135400/160000] lr: 2.344e-06, eta: 1:54:07, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2000, decode.acc_seg: 92.0767, loss: 0.2000 2023-03-04 07:19:40,139 - mmseg - INFO - Iter [135450/160000] lr: 2.344e-06, eta: 1:53:52, time: 0.238, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1972, decode.acc_seg: 92.0417, loss: 0.1972 2023-03-04 07:19:51,654 - mmseg - INFO - Iter [135500/160000] lr: 2.344e-06, eta: 1:53:38, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2006, decode.acc_seg: 91.8923, loss: 0.2006 2023-03-04 07:20:03,132 - mmseg - INFO - Iter [135550/160000] lr: 2.344e-06, eta: 1:53:24, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1940, decode.acc_seg: 92.0942, loss: 0.1940 2023-03-04 07:20:14,800 - mmseg - INFO - Iter [135600/160000] lr: 2.344e-06, eta: 1:53:09, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1983, decode.acc_seg: 91.9990, loss: 0.1983 2023-03-04 07:20:26,255 - mmseg - INFO - Iter [135650/160000] lr: 2.344e-06, eta: 1:52:55, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1983, decode.acc_seg: 92.1240, loss: 0.1983 2023-03-04 07:20:40,354 - mmseg - INFO - Iter [135700/160000] lr: 2.344e-06, eta: 1:52:41, time: 0.282, data_time: 0.051, memory: 67409, decode.loss_ce: 0.1905, decode.acc_seg: 92.4090, loss: 0.1905 2023-03-04 07:20:51,924 - mmseg - INFO - Iter [135750/160000] lr: 2.344e-06, eta: 1:52:27, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2007, decode.acc_seg: 91.9807, loss: 0.2007 2023-03-04 07:21:03,635 - mmseg - INFO - Iter [135800/160000] lr: 2.344e-06, eta: 1:52:13, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2068, decode.acc_seg: 91.8053, loss: 0.2068 2023-03-04 07:21:15,108 - mmseg - INFO - Iter [135850/160000] lr: 2.344e-06, eta: 1:51:58, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1887, decode.acc_seg: 92.4649, loss: 0.1887 2023-03-04 07:21:26,784 - mmseg - INFO - Iter [135900/160000] lr: 2.344e-06, eta: 1:51:44, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1832, decode.acc_seg: 92.4798, loss: 0.1832 2023-03-04 07:21:38,314 - mmseg - INFO - Iter [135950/160000] lr: 2.344e-06, eta: 1:51:30, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1996, decode.acc_seg: 91.9512, loss: 0.1996 2023-03-04 07:21:49,815 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 07:21:49,815 - mmseg - INFO - Iter [136000/160000] lr: 2.344e-06, eta: 1:51:15, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2079, decode.acc_seg: 91.7437, loss: 0.2079 2023-03-04 07:22:01,249 - mmseg - INFO - Iter [136050/160000] lr: 2.344e-06, eta: 1:51:01, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1993, decode.acc_seg: 91.9593, loss: 0.1993 2023-03-04 07:22:12,884 - mmseg - INFO - Iter [136100/160000] lr: 2.344e-06, eta: 1:50:47, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2013, decode.acc_seg: 91.9332, loss: 0.2013 2023-03-04 07:22:24,401 - mmseg - INFO - Iter [136150/160000] lr: 2.344e-06, eta: 1:50:32, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2011, decode.acc_seg: 91.9894, loss: 0.2011 2023-03-04 07:22:35,891 - mmseg - INFO - Iter [136200/160000] lr: 2.344e-06, eta: 1:50:18, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1930, decode.acc_seg: 92.1821, loss: 0.1930 2023-03-04 07:22:47,553 - mmseg - INFO - Iter [136250/160000] lr: 2.344e-06, eta: 1:50:04, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1923, decode.acc_seg: 92.1358, loss: 0.1923 2023-03-04 07:23:01,512 - mmseg - INFO - Iter [136300/160000] lr: 2.344e-06, eta: 1:49:50, time: 0.279, data_time: 0.053, memory: 67409, decode.loss_ce: 0.1903, decode.acc_seg: 92.3378, loss: 0.1903 2023-03-04 07:23:13,085 - mmseg - INFO - Iter [136350/160000] lr: 2.344e-06, eta: 1:49:35, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2017, decode.acc_seg: 91.8695, loss: 0.2017 2023-03-04 07:23:24,660 - mmseg - INFO - Iter [136400/160000] lr: 2.344e-06, eta: 1:49:21, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2006, decode.acc_seg: 91.8667, loss: 0.2006 2023-03-04 07:23:36,114 - mmseg - INFO - Iter [136450/160000] lr: 2.344e-06, eta: 1:49:07, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2007, decode.acc_seg: 92.0234, loss: 0.2007 2023-03-04 07:23:47,883 - mmseg - INFO - Iter [136500/160000] lr: 2.344e-06, eta: 1:48:53, time: 0.236, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1965, decode.acc_seg: 92.0230, loss: 0.1965 2023-03-04 07:23:59,436 - mmseg - INFO - Iter [136550/160000] lr: 2.344e-06, eta: 1:48:38, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2005, decode.acc_seg: 91.9645, loss: 0.2005 2023-03-04 07:24:10,898 - mmseg - INFO - Iter [136600/160000] lr: 2.344e-06, eta: 1:48:24, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2027, decode.acc_seg: 91.8699, loss: 0.2027 2023-03-04 07:24:22,418 - mmseg - INFO - Iter [136650/160000] lr: 2.344e-06, eta: 1:48:10, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1865, decode.acc_seg: 92.4811, loss: 0.1865 2023-03-04 07:24:33,945 - mmseg - INFO - Iter [136700/160000] lr: 2.344e-06, eta: 1:47:55, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1887, decode.acc_seg: 92.2834, loss: 0.1887 2023-03-04 07:24:45,386 - mmseg - INFO - Iter [136750/160000] lr: 2.344e-06, eta: 1:47:41, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1969, decode.acc_seg: 92.1127, loss: 0.1969 2023-03-04 07:24:56,849 - mmseg - INFO - Iter [136800/160000] lr: 2.344e-06, eta: 1:47:27, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1967, decode.acc_seg: 92.1453, loss: 0.1967 2023-03-04 07:25:08,373 - mmseg - INFO - Iter [136850/160000] lr: 2.344e-06, eta: 1:47:12, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1913, decode.acc_seg: 92.1601, loss: 0.1913 2023-03-04 07:25:20,045 - mmseg - INFO - Iter [136900/160000] lr: 2.344e-06, eta: 1:46:58, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1989, decode.acc_seg: 91.8897, loss: 0.1989 2023-03-04 07:25:34,033 - mmseg - INFO - Iter [136950/160000] lr: 2.344e-06, eta: 1:46:44, time: 0.280, data_time: 0.055, memory: 67409, decode.loss_ce: 0.1912, decode.acc_seg: 92.1968, loss: 0.1912 2023-03-04 07:25:45,551 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 07:25:45,551 - mmseg - INFO - Iter [137000/160000] lr: 2.344e-06, eta: 1:46:30, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1903, decode.acc_seg: 92.3841, loss: 0.1903 2023-03-04 07:25:57,135 - mmseg - INFO - Iter [137050/160000] lr: 2.344e-06, eta: 1:46:16, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1976, decode.acc_seg: 92.0279, loss: 0.1976 2023-03-04 07:26:08,661 - mmseg - INFO - Iter [137100/160000] lr: 2.344e-06, eta: 1:46:01, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1976, decode.acc_seg: 92.0145, loss: 0.1976 2023-03-04 07:26:20,135 - mmseg - INFO - Iter [137150/160000] lr: 2.344e-06, eta: 1:45:47, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1968, decode.acc_seg: 92.0090, loss: 0.1968 2023-03-04 07:26:31,748 - mmseg - INFO - Iter [137200/160000] lr: 2.344e-06, eta: 1:45:33, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1938, decode.acc_seg: 92.2616, loss: 0.1938 2023-03-04 07:26:43,302 - mmseg - INFO - Iter [137250/160000] lr: 2.344e-06, eta: 1:45:19, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2051, decode.acc_seg: 91.7389, loss: 0.2051 2023-03-04 07:26:54,780 - mmseg - INFO - Iter [137300/160000] lr: 2.344e-06, eta: 1:45:04, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1953, decode.acc_seg: 92.1556, loss: 0.1953 2023-03-04 07:27:06,244 - mmseg - INFO - Iter [137350/160000] lr: 2.344e-06, eta: 1:44:50, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1922, decode.acc_seg: 92.1799, loss: 0.1922 2023-03-04 07:27:17,800 - mmseg - INFO - Iter [137400/160000] lr: 2.344e-06, eta: 1:44:36, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2000, decode.acc_seg: 91.9766, loss: 0.2000 2023-03-04 07:27:29,367 - mmseg - INFO - Iter [137450/160000] lr: 2.344e-06, eta: 1:44:21, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2030, decode.acc_seg: 91.8488, loss: 0.2030 2023-03-04 07:27:40,829 - mmseg - INFO - Iter [137500/160000] lr: 2.344e-06, eta: 1:44:07, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1975, decode.acc_seg: 91.9500, loss: 0.1975 2023-03-04 07:27:52,295 - mmseg - INFO - Iter [137550/160000] lr: 2.344e-06, eta: 1:43:53, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1924, decode.acc_seg: 92.1318, loss: 0.1924 2023-03-04 07:28:06,401 - mmseg - INFO - Iter [137600/160000] lr: 2.344e-06, eta: 1:43:39, time: 0.282, data_time: 0.052, memory: 67409, decode.loss_ce: 0.1950, decode.acc_seg: 92.1424, loss: 0.1950 2023-03-04 07:28:17,930 - mmseg - INFO - Iter [137650/160000] lr: 2.344e-06, eta: 1:43:25, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1985, decode.acc_seg: 92.2765, loss: 0.1985 2023-03-04 07:28:29,866 - mmseg - INFO - Iter [137700/160000] lr: 2.344e-06, eta: 1:43:11, time: 0.239, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1975, decode.acc_seg: 92.0247, loss: 0.1975 2023-03-04 07:28:41,394 - mmseg - INFO - Iter [137750/160000] lr: 2.344e-06, eta: 1:42:56, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1939, decode.acc_seg: 92.2359, loss: 0.1939 2023-03-04 07:28:53,105 - mmseg - INFO - Iter [137800/160000] lr: 2.344e-06, eta: 1:42:42, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2008, decode.acc_seg: 92.0378, loss: 0.2008 2023-03-04 07:29:04,585 - mmseg - INFO - Iter [137850/160000] lr: 2.344e-06, eta: 1:42:28, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1954, decode.acc_seg: 92.0609, loss: 0.1954 2023-03-04 07:29:16,052 - mmseg - INFO - Iter [137900/160000] lr: 2.344e-06, eta: 1:42:14, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2022, decode.acc_seg: 91.8561, loss: 0.2022 2023-03-04 07:29:27,536 - mmseg - INFO - Iter [137950/160000] lr: 2.344e-06, eta: 1:41:59, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1977, decode.acc_seg: 92.0360, loss: 0.1977 2023-03-04 07:29:39,077 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 07:29:39,077 - mmseg - INFO - Iter [138000/160000] lr: 2.344e-06, eta: 1:41:45, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2009, decode.acc_seg: 92.0777, loss: 0.2009 2023-03-04 07:29:50,541 - mmseg - INFO - Iter [138050/160000] lr: 2.344e-06, eta: 1:41:31, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1949, decode.acc_seg: 92.2333, loss: 0.1949 2023-03-04 07:30:02,784 - mmseg - INFO - Iter [138100/160000] lr: 2.344e-06, eta: 1:41:17, time: 0.245, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1906, decode.acc_seg: 92.3794, loss: 0.1906 2023-03-04 07:30:14,294 - mmseg - INFO - Iter [138150/160000] lr: 2.344e-06, eta: 1:41:02, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1984, decode.acc_seg: 92.0799, loss: 0.1984 2023-03-04 07:30:28,242 - mmseg - INFO - Iter [138200/160000] lr: 2.344e-06, eta: 1:40:49, time: 0.279, data_time: 0.052, memory: 67409, decode.loss_ce: 0.1964, decode.acc_seg: 92.1322, loss: 0.1964 2023-03-04 07:30:39,856 - mmseg - INFO - Iter [138250/160000] lr: 2.344e-06, eta: 1:40:34, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1895, decode.acc_seg: 92.2629, loss: 0.1895 2023-03-04 07:30:51,542 - mmseg - INFO - Iter [138300/160000] lr: 2.344e-06, eta: 1:40:20, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2037, decode.acc_seg: 91.9035, loss: 0.2037 2023-03-04 07:31:03,094 - mmseg - INFO - Iter [138350/160000] lr: 2.344e-06, eta: 1:40:06, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1981, decode.acc_seg: 91.9683, loss: 0.1981 2023-03-04 07:31:14,618 - mmseg - INFO - Iter [138400/160000] lr: 2.344e-06, eta: 1:39:52, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1854, decode.acc_seg: 92.6821, loss: 0.1854 2023-03-04 07:31:26,154 - mmseg - INFO - Iter [138450/160000] lr: 2.344e-06, eta: 1:39:37, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1947, decode.acc_seg: 92.1608, loss: 0.1947 2023-03-04 07:31:37,771 - mmseg - INFO - Iter [138500/160000] lr: 2.344e-06, eta: 1:39:23, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1977, decode.acc_seg: 92.1960, loss: 0.1977 2023-03-04 07:31:49,252 - mmseg - INFO - Iter [138550/160000] lr: 2.344e-06, eta: 1:39:09, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2048, decode.acc_seg: 91.9934, loss: 0.2048 2023-03-04 07:32:00,740 - mmseg - INFO - Iter [138600/160000] lr: 2.344e-06, eta: 1:38:55, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1989, decode.acc_seg: 92.0075, loss: 0.1989 2023-03-04 07:32:12,217 - mmseg - INFO - Iter [138650/160000] lr: 2.344e-06, eta: 1:38:40, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1884, decode.acc_seg: 92.4260, loss: 0.1884 2023-03-04 07:32:23,691 - mmseg - INFO - Iter [138700/160000] lr: 2.344e-06, eta: 1:38:26, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1947, decode.acc_seg: 92.2711, loss: 0.1947 2023-03-04 07:32:35,273 - mmseg - INFO - Iter [138750/160000] lr: 2.344e-06, eta: 1:38:12, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2031, decode.acc_seg: 91.8204, loss: 0.2031 2023-03-04 07:32:46,729 - mmseg - INFO - Iter [138800/160000] lr: 2.344e-06, eta: 1:37:58, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1954, decode.acc_seg: 92.1320, loss: 0.1954 2023-03-04 07:33:01,103 - mmseg - INFO - Iter [138850/160000] lr: 2.344e-06, eta: 1:37:44, time: 0.287, data_time: 0.053, memory: 67409, decode.loss_ce: 0.2043, decode.acc_seg: 91.7007, loss: 0.2043 2023-03-04 07:33:12,600 - mmseg - INFO - Iter [138900/160000] lr: 2.344e-06, eta: 1:37:30, time: 0.230, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1886, decode.acc_seg: 92.4259, loss: 0.1886 2023-03-04 07:33:24,221 - mmseg - INFO - Iter [138950/160000] lr: 2.344e-06, eta: 1:37:16, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2019, decode.acc_seg: 92.0015, loss: 0.2019 2023-03-04 07:33:35,978 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 07:33:35,978 - mmseg - INFO - Iter [139000/160000] lr: 2.344e-06, eta: 1:37:01, time: 0.235, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1952, decode.acc_seg: 92.0577, loss: 0.1952 2023-03-04 07:33:47,455 - mmseg - INFO - Iter [139050/160000] lr: 2.344e-06, eta: 1:36:47, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1989, decode.acc_seg: 92.0357, loss: 0.1989 2023-03-04 07:33:58,957 - mmseg - INFO - Iter [139100/160000] lr: 2.344e-06, eta: 1:36:33, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2037, decode.acc_seg: 91.8950, loss: 0.2037 2023-03-04 07:34:10,579 - mmseg - INFO - Iter [139150/160000] lr: 2.344e-06, eta: 1:36:19, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1991, decode.acc_seg: 92.1064, loss: 0.1991 2023-03-04 07:34:22,205 - mmseg - INFO - Iter [139200/160000] lr: 2.344e-06, eta: 1:36:05, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1919, decode.acc_seg: 92.2453, loss: 0.1919 2023-03-04 07:34:33,683 - mmseg - INFO - Iter [139250/160000] lr: 2.344e-06, eta: 1:35:50, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1966, decode.acc_seg: 92.0162, loss: 0.1966 2023-03-04 07:34:45,250 - mmseg - INFO - Iter [139300/160000] lr: 2.344e-06, eta: 1:35:36, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1925, decode.acc_seg: 92.2082, loss: 0.1925 2023-03-04 07:34:56,705 - mmseg - INFO - Iter [139350/160000] lr: 2.344e-06, eta: 1:35:22, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1946, decode.acc_seg: 92.1657, loss: 0.1946 2023-03-04 07:35:08,207 - mmseg - INFO - Iter [139400/160000] lr: 2.344e-06, eta: 1:35:08, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2002, decode.acc_seg: 91.8093, loss: 0.2002 2023-03-04 07:35:19,867 - mmseg - INFO - Iter [139450/160000] lr: 2.344e-06, eta: 1:34:54, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1965, decode.acc_seg: 92.0624, loss: 0.1965 2023-03-04 07:35:33,821 - mmseg - INFO - Iter [139500/160000] lr: 2.344e-06, eta: 1:34:40, time: 0.279, data_time: 0.054, memory: 67409, decode.loss_ce: 0.1938, decode.acc_seg: 92.1771, loss: 0.1938 2023-03-04 07:35:45,559 - mmseg - INFO - Iter [139550/160000] lr: 2.344e-06, eta: 1:34:26, time: 0.235, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2047, decode.acc_seg: 91.7034, loss: 0.2047 2023-03-04 07:35:57,109 - mmseg - INFO - Iter [139600/160000] lr: 2.344e-06, eta: 1:34:11, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1912, decode.acc_seg: 92.3704, loss: 0.1912 2023-03-04 07:36:08,964 - mmseg - INFO - Iter [139650/160000] lr: 2.344e-06, eta: 1:33:57, time: 0.237, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1906, decode.acc_seg: 92.2826, loss: 0.1906 2023-03-04 07:36:20,757 - mmseg - INFO - Iter [139700/160000] lr: 2.344e-06, eta: 1:33:43, time: 0.236, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2015, decode.acc_seg: 91.9800, loss: 0.2015 2023-03-04 07:36:32,200 - mmseg - INFO - Iter [139750/160000] lr: 2.344e-06, eta: 1:33:29, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1930, decode.acc_seg: 92.2879, loss: 0.1930 2023-03-04 07:36:43,789 - mmseg - INFO - Iter [139800/160000] lr: 2.344e-06, eta: 1:33:15, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1997, decode.acc_seg: 91.9930, loss: 0.1997 2023-03-04 07:36:55,607 - mmseg - INFO - Iter [139850/160000] lr: 2.344e-06, eta: 1:33:01, time: 0.236, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1983, decode.acc_seg: 92.0419, loss: 0.1983 2023-03-04 07:37:07,042 - mmseg - INFO - Iter [139900/160000] lr: 2.344e-06, eta: 1:32:46, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1935, decode.acc_seg: 92.2669, loss: 0.1935 2023-03-04 07:37:18,732 - mmseg - INFO - Iter [139950/160000] lr: 2.344e-06, eta: 1:32:32, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1978, decode.acc_seg: 92.1508, loss: 0.1978 2023-03-04 07:37:30,300 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 07:37:30,301 - mmseg - INFO - Iter [140000/160000] lr: 2.344e-06, eta: 1:32:18, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1936, decode.acc_seg: 92.1944, loss: 0.1936 2023-03-04 07:37:41,820 - mmseg - INFO - Iter [140050/160000] lr: 1.172e-06, eta: 1:32:04, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1994, decode.acc_seg: 91.9370, loss: 0.1994 2023-03-04 07:37:55,789 - mmseg - INFO - Iter [140100/160000] lr: 1.172e-06, eta: 1:31:50, time: 0.279, data_time: 0.052, memory: 67409, decode.loss_ce: 0.1969, decode.acc_seg: 92.0489, loss: 0.1969 2023-03-04 07:38:07,365 - mmseg - INFO - Iter [140150/160000] lr: 1.172e-06, eta: 1:31:36, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2005, decode.acc_seg: 92.0055, loss: 0.2005 2023-03-04 07:38:18,959 - mmseg - INFO - Iter [140200/160000] lr: 1.172e-06, eta: 1:31:22, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1940, decode.acc_seg: 92.0560, loss: 0.1940 2023-03-04 07:38:30,568 - mmseg - INFO - Iter [140250/160000] lr: 1.172e-06, eta: 1:31:08, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1966, decode.acc_seg: 92.0985, loss: 0.1966 2023-03-04 07:38:42,080 - mmseg - INFO - Iter [140300/160000] lr: 1.172e-06, eta: 1:30:53, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1949, decode.acc_seg: 92.2589, loss: 0.1949 2023-03-04 07:38:53,489 - mmseg - INFO - Iter [140350/160000] lr: 1.172e-06, eta: 1:30:39, time: 0.228, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2002, decode.acc_seg: 91.8437, loss: 0.2002 2023-03-04 07:39:05,151 - mmseg - INFO - Iter [140400/160000] lr: 1.172e-06, eta: 1:30:25, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1870, decode.acc_seg: 92.3679, loss: 0.1870 2023-03-04 07:39:16,661 - mmseg - INFO - Iter [140450/160000] lr: 1.172e-06, eta: 1:30:11, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1982, decode.acc_seg: 92.0454, loss: 0.1982 2023-03-04 07:39:28,233 - mmseg - INFO - Iter [140500/160000] lr: 1.172e-06, eta: 1:29:57, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2036, decode.acc_seg: 92.0083, loss: 0.2036 2023-03-04 07:39:39,849 - mmseg - INFO - Iter [140550/160000] lr: 1.172e-06, eta: 1:29:43, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1857, decode.acc_seg: 92.5384, loss: 0.1857 2023-03-04 07:39:51,537 - mmseg - INFO - Iter [140600/160000] lr: 1.172e-06, eta: 1:29:28, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1977, decode.acc_seg: 92.0146, loss: 0.1977 2023-03-04 07:40:03,151 - mmseg - INFO - Iter [140650/160000] lr: 1.172e-06, eta: 1:29:14, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2006, decode.acc_seg: 91.9045, loss: 0.2006 2023-03-04 07:40:14,851 - mmseg - INFO - Iter [140700/160000] lr: 1.172e-06, eta: 1:29:00, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2001, decode.acc_seg: 91.8356, loss: 0.2001 2023-03-04 07:40:28,935 - mmseg - INFO - Iter [140750/160000] lr: 1.172e-06, eta: 1:28:46, time: 0.282, data_time: 0.052, memory: 67409, decode.loss_ce: 0.1980, decode.acc_seg: 91.9930, loss: 0.1980 2023-03-04 07:40:40,584 - mmseg - INFO - Iter [140800/160000] lr: 1.172e-06, eta: 1:28:32, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2007, decode.acc_seg: 91.8475, loss: 0.2007 2023-03-04 07:40:52,017 - mmseg - INFO - Iter [140850/160000] lr: 1.172e-06, eta: 1:28:18, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1979, decode.acc_seg: 91.9510, loss: 0.1979 2023-03-04 07:41:03,518 - mmseg - INFO - Iter [140900/160000] lr: 1.172e-06, eta: 1:28:04, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1975, decode.acc_seg: 92.0360, loss: 0.1975 2023-03-04 07:41:14,970 - mmseg - INFO - Iter [140950/160000] lr: 1.172e-06, eta: 1:27:50, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1997, decode.acc_seg: 91.9194, loss: 0.1997 2023-03-04 07:41:26,512 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 07:41:26,512 - mmseg - INFO - Iter [141000/160000] lr: 1.172e-06, eta: 1:27:36, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2070, decode.acc_seg: 91.7521, loss: 0.2070 2023-03-04 07:41:38,098 - mmseg - INFO - Iter [141050/160000] lr: 1.172e-06, eta: 1:27:21, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1974, decode.acc_seg: 92.1463, loss: 0.1974 2023-03-04 07:41:49,573 - mmseg - INFO - Iter [141100/160000] lr: 1.172e-06, eta: 1:27:07, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1990, decode.acc_seg: 92.1045, loss: 0.1990 2023-03-04 07:42:01,115 - mmseg - INFO - Iter [141150/160000] lr: 1.172e-06, eta: 1:26:53, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1979, decode.acc_seg: 92.0854, loss: 0.1979 2023-03-04 07:42:12,673 - mmseg - INFO - Iter [141200/160000] lr: 1.172e-06, eta: 1:26:39, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1887, decode.acc_seg: 92.2410, loss: 0.1887 2023-03-04 07:42:24,491 - mmseg - INFO - Iter [141250/160000] lr: 1.172e-06, eta: 1:26:25, time: 0.236, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1943, decode.acc_seg: 92.0740, loss: 0.1943 2023-03-04 07:42:36,027 - mmseg - INFO - Iter [141300/160000] lr: 1.172e-06, eta: 1:26:11, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1930, decode.acc_seg: 92.3790, loss: 0.1930 2023-03-04 07:42:50,109 - mmseg - INFO - Iter [141350/160000] lr: 1.172e-06, eta: 1:25:57, time: 0.282, data_time: 0.055, memory: 67409, decode.loss_ce: 0.1922, decode.acc_seg: 92.2036, loss: 0.1922 2023-03-04 07:43:01,992 - mmseg - INFO - Iter [141400/160000] lr: 1.172e-06, eta: 1:25:43, time: 0.238, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1908, decode.acc_seg: 92.1637, loss: 0.1908 2023-03-04 07:43:13,681 - mmseg - INFO - Iter [141450/160000] lr: 1.172e-06, eta: 1:25:29, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1982, decode.acc_seg: 92.0360, loss: 0.1982 2023-03-04 07:43:25,266 - mmseg - INFO - Iter [141500/160000] lr: 1.172e-06, eta: 1:25:15, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1840, decode.acc_seg: 92.6538, loss: 0.1840 2023-03-04 07:43:37,148 - mmseg - INFO - Iter [141550/160000] lr: 1.172e-06, eta: 1:25:01, time: 0.238, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2036, decode.acc_seg: 92.0193, loss: 0.2036 2023-03-04 07:43:48,876 - mmseg - INFO - Iter [141600/160000] lr: 1.172e-06, eta: 1:24:47, time: 0.235, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1935, decode.acc_seg: 92.0987, loss: 0.1935 2023-03-04 07:44:00,401 - mmseg - INFO - Iter [141650/160000] lr: 1.172e-06, eta: 1:24:32, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1992, decode.acc_seg: 91.9620, loss: 0.1992 2023-03-04 07:44:12,094 - mmseg - INFO - Iter [141700/160000] lr: 1.172e-06, eta: 1:24:18, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1972, decode.acc_seg: 92.0751, loss: 0.1972 2023-03-04 07:44:23,764 - mmseg - INFO - Iter [141750/160000] lr: 1.172e-06, eta: 1:24:04, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2012, decode.acc_seg: 92.0394, loss: 0.2012 2023-03-04 07:44:35,320 - mmseg - INFO - Iter [141800/160000] lr: 1.172e-06, eta: 1:23:50, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2057, decode.acc_seg: 91.8550, loss: 0.2057 2023-03-04 07:44:46,937 - mmseg - INFO - Iter [141850/160000] lr: 1.172e-06, eta: 1:23:36, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1998, decode.acc_seg: 92.0067, loss: 0.1998 2023-03-04 07:44:58,506 - mmseg - INFO - Iter [141900/160000] lr: 1.172e-06, eta: 1:23:22, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2030, decode.acc_seg: 91.7590, loss: 0.2030 2023-03-04 07:45:10,276 - mmseg - INFO - Iter [141950/160000] lr: 1.172e-06, eta: 1:23:08, time: 0.235, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1976, decode.acc_seg: 92.0360, loss: 0.1976 2023-03-04 07:45:24,460 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 07:45:24,460 - mmseg - INFO - Iter [142000/160000] lr: 1.172e-06, eta: 1:22:54, time: 0.284, data_time: 0.054, memory: 67409, decode.loss_ce: 0.2015, decode.acc_seg: 91.8790, loss: 0.2015 2023-03-04 07:45:35,956 - mmseg - INFO - Iter [142050/160000] lr: 1.172e-06, eta: 1:22:40, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1917, decode.acc_seg: 92.1881, loss: 0.1917 2023-03-04 07:45:47,635 - mmseg - INFO - Iter [142100/160000] lr: 1.172e-06, eta: 1:22:26, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1990, decode.acc_seg: 92.0914, loss: 0.1990 2023-03-04 07:45:59,097 - mmseg - INFO - Iter [142150/160000] lr: 1.172e-06, eta: 1:22:12, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1945, decode.acc_seg: 92.0693, loss: 0.1945 2023-03-04 07:46:10,634 - mmseg - INFO - Iter [142200/160000] lr: 1.172e-06, eta: 1:21:58, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1906, decode.acc_seg: 92.2315, loss: 0.1906 2023-03-04 07:46:22,081 - mmseg - INFO - Iter [142250/160000] lr: 1.172e-06, eta: 1:21:44, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2010, decode.acc_seg: 91.9999, loss: 0.2010 2023-03-04 07:46:33,863 - mmseg - INFO - Iter [142300/160000] lr: 1.172e-06, eta: 1:21:29, time: 0.236, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1923, decode.acc_seg: 92.2171, loss: 0.1923 2023-03-04 07:46:45,760 - mmseg - INFO - Iter [142350/160000] lr: 1.172e-06, eta: 1:21:15, time: 0.238, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2033, decode.acc_seg: 91.9377, loss: 0.2033 2023-03-04 07:46:57,378 - mmseg - INFO - Iter [142400/160000] lr: 1.172e-06, eta: 1:21:01, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1931, decode.acc_seg: 92.1747, loss: 0.1931 2023-03-04 07:47:08,978 - mmseg - INFO - Iter [142450/160000] lr: 1.172e-06, eta: 1:20:47, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1992, decode.acc_seg: 92.1755, loss: 0.1992 2023-03-04 07:47:20,575 - mmseg - INFO - Iter [142500/160000] lr: 1.172e-06, eta: 1:20:33, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2012, decode.acc_seg: 91.7905, loss: 0.2012 2023-03-04 07:47:32,146 - mmseg - INFO - Iter [142550/160000] lr: 1.172e-06, eta: 1:20:19, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2006, decode.acc_seg: 91.9309, loss: 0.2006 2023-03-04 07:47:43,761 - mmseg - INFO - Iter [142600/160000] lr: 1.172e-06, eta: 1:20:05, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2056, decode.acc_seg: 91.9269, loss: 0.2056 2023-03-04 07:47:57,783 - mmseg - INFO - Iter [142650/160000] lr: 1.172e-06, eta: 1:19:51, time: 0.280, data_time: 0.053, memory: 67409, decode.loss_ce: 0.1984, decode.acc_seg: 91.9470, loss: 0.1984 2023-03-04 07:48:09,397 - mmseg - INFO - Iter [142700/160000] lr: 1.172e-06, eta: 1:19:37, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1924, decode.acc_seg: 92.2562, loss: 0.1924 2023-03-04 07:48:20,973 - mmseg - INFO - Iter [142750/160000] lr: 1.172e-06, eta: 1:19:23, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1953, decode.acc_seg: 92.0645, loss: 0.1953 2023-03-04 07:48:32,553 - mmseg - INFO - Iter [142800/160000] lr: 1.172e-06, eta: 1:19:09, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1993, decode.acc_seg: 92.0047, loss: 0.1993 2023-03-04 07:48:44,235 - mmseg - INFO - Iter [142850/160000] lr: 1.172e-06, eta: 1:18:55, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2018, decode.acc_seg: 91.8858, loss: 0.2018 2023-03-04 07:48:55,751 - mmseg - INFO - Iter [142900/160000] lr: 1.172e-06, eta: 1:18:41, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1958, decode.acc_seg: 92.0660, loss: 0.1958 2023-03-04 07:49:07,246 - mmseg - INFO - Iter [142950/160000] lr: 1.172e-06, eta: 1:18:27, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2050, decode.acc_seg: 91.7836, loss: 0.2050 2023-03-04 07:49:18,834 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 07:49:18,834 - mmseg - INFO - Iter [143000/160000] lr: 1.172e-06, eta: 1:18:13, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1952, decode.acc_seg: 92.2020, loss: 0.1952 2023-03-04 07:49:30,453 - mmseg - INFO - Iter [143050/160000] lr: 1.172e-06, eta: 1:17:59, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2046, decode.acc_seg: 91.8731, loss: 0.2046 2023-03-04 07:49:41,940 - mmseg - INFO - Iter [143100/160000] lr: 1.172e-06, eta: 1:17:45, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1972, decode.acc_seg: 92.1711, loss: 0.1972 2023-03-04 07:49:53,425 - mmseg - INFO - Iter [143150/160000] lr: 1.172e-06, eta: 1:17:30, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1976, decode.acc_seg: 92.0979, loss: 0.1976 2023-03-04 07:50:05,073 - mmseg - INFO - Iter [143200/160000] lr: 1.172e-06, eta: 1:17:16, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1968, decode.acc_seg: 92.0219, loss: 0.1968 2023-03-04 07:50:19,183 - mmseg - INFO - Iter [143250/160000] lr: 1.172e-06, eta: 1:17:03, time: 0.283, data_time: 0.052, memory: 67409, decode.loss_ce: 0.1935, decode.acc_seg: 92.2673, loss: 0.1935 2023-03-04 07:50:30,763 - mmseg - INFO - Iter [143300/160000] lr: 1.172e-06, eta: 1:16:49, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1939, decode.acc_seg: 92.2612, loss: 0.1939 2023-03-04 07:50:42,322 - mmseg - INFO - Iter [143350/160000] lr: 1.172e-06, eta: 1:16:35, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1995, decode.acc_seg: 91.9694, loss: 0.1995 2023-03-04 07:50:53,823 - mmseg - INFO - Iter [143400/160000] lr: 1.172e-06, eta: 1:16:20, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1952, decode.acc_seg: 92.0895, loss: 0.1952 2023-03-04 07:51:05,357 - mmseg - INFO - Iter [143450/160000] lr: 1.172e-06, eta: 1:16:06, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1970, decode.acc_seg: 92.0162, loss: 0.1970 2023-03-04 07:51:16,869 - mmseg - INFO - Iter [143500/160000] lr: 1.172e-06, eta: 1:15:52, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1959, decode.acc_seg: 91.9726, loss: 0.1959 2023-03-04 07:51:28,579 - mmseg - INFO - Iter [143550/160000] lr: 1.172e-06, eta: 1:15:38, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1968, decode.acc_seg: 91.9696, loss: 0.1968 2023-03-04 07:51:40,122 - mmseg - INFO - Iter [143600/160000] lr: 1.172e-06, eta: 1:15:24, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2030, decode.acc_seg: 91.8996, loss: 0.2030 2023-03-04 07:51:51,709 - mmseg - INFO - Iter [143650/160000] lr: 1.172e-06, eta: 1:15:10, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1981, decode.acc_seg: 91.8544, loss: 0.1981 2023-03-04 07:52:03,237 - mmseg - INFO - Iter [143700/160000] lr: 1.172e-06, eta: 1:14:56, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1914, decode.acc_seg: 92.2560, loss: 0.1914 2023-03-04 07:52:14,774 - mmseg - INFO - Iter [143750/160000] lr: 1.172e-06, eta: 1:14:42, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1969, decode.acc_seg: 92.0969, loss: 0.1969 2023-03-04 07:52:26,208 - mmseg - INFO - Iter [143800/160000] lr: 1.172e-06, eta: 1:14:28, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1890, decode.acc_seg: 92.3540, loss: 0.1890 2023-03-04 07:52:37,959 - mmseg - INFO - Iter [143850/160000] lr: 1.172e-06, eta: 1:14:14, time: 0.235, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1997, decode.acc_seg: 91.9627, loss: 0.1997 2023-03-04 07:52:52,058 - mmseg - INFO - Iter [143900/160000] lr: 1.172e-06, eta: 1:14:00, time: 0.282, data_time: 0.057, memory: 67409, decode.loss_ce: 0.1948, decode.acc_seg: 92.2651, loss: 0.1948 2023-03-04 07:53:03,628 - mmseg - INFO - Iter [143950/160000] lr: 1.172e-06, eta: 1:13:46, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1973, decode.acc_seg: 92.0181, loss: 0.1973 2023-03-04 07:53:15,123 - mmseg - INFO - Swap parameters (after train) after iter [144000] 2023-03-04 07:53:15,137 - mmseg - INFO - Saving checkpoint at 144000 iterations 2023-03-04 07:53:16,544 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 07:53:16,545 - mmseg - INFO - Iter [144000/160000] lr: 1.172e-06, eta: 1:13:32, time: 0.258, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2068, decode.acc_seg: 91.6753, loss: 0.2068 2023-03-04 08:04:12,544 - mmseg - INFO - per class results: 2023-03-04 08:04:12,555 - mmseg - INFO - +---------------------+-------------------------------------------------------------------+ | Class | IoU 0,10,20,30,40,50,60,70,80,90,99 | +---------------------+-------------------------------------------------------------------+ | background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | | wall | 76.24,76.26,76.25,76.27,76.29,76.3,76.31,76.3,76.32,76.33,76.32 | | building | 82.57,82.58,82.6,82.6,82.6,82.63,82.63,82.64,82.62,82.65,82.63 | | sky | 94.17,94.18,94.18,94.19,94.18,94.19,94.19,94.19,94.2,94.2,94.2 | | floor | 78.89,78.93,78.94,78.98,78.98,79.01,79.03,79.03,79.03,79.04,79.02 | | tree | 73.41,73.45,73.45,73.48,73.48,73.48,73.48,73.5,73.5,73.52,73.59 | | ceiling | 82.67,82.69,82.69,82.68,82.7,82.68,82.71,82.69,82.7,82.68,82.7 | | road | 80.94,80.94,80.92,80.95,80.95,80.97,80.99,81.05,81.05,81.06,81.11 | | bed | 87.95,87.99,87.98,88.01,88.01,88.05,88.03,88.04,88.07,88.07,88.1 | | windowpane | 59.71,59.71,59.74,59.74,59.78,59.81,59.86,59.91,59.92,59.94,59.86 | | grass | 65.01,65.03,65.01,64.96,65.01,65.07,65.12,65.15,65.24,65.53,65.44 | | cabinet | 59.65,59.72,59.83,59.82,59.86,59.81,59.82,59.74,59.77,59.76,59.85 | | sidewalk | 64.65,64.65,64.67,64.69,64.68,64.69,64.74,64.82,64.83,64.83,64.81 | | person | 78.62,78.61,78.63,78.62,78.63,78.62,78.61,78.6,78.58,78.57,78.62 | | earth | 31.22,31.04,30.92,30.76,30.69,30.69,30.65,30.62,30.6,30.67,30.69 | | door | 46.36,46.42,46.42,46.53,46.56,46.65,46.7,46.81,46.82,46.91,46.83 | | table | 60.6,60.59,60.62,60.54,60.62,60.6,60.65,60.71,60.67,60.73,60.66 | | mountain | 52.21,52.2,52.2,52.04,52.1,52.13,52.09,52.16,52.02,52.02,52.0 | | plant | 51.88,52.04,52.02,52.03,52.01,51.94,51.96,52.01,52.05,52.05,52.21 | | curtain | 72.22,72.25,72.27,72.3,72.39,72.39,72.4,72.38,72.4,72.37,72.34 | | chair | 55.89,55.84,55.86,55.81,55.84,55.85,55.79,55.81,55.8,55.78,55.72 | | car | 81.73,81.74,81.73,81.76,81.73,81.7,81.7,81.68,81.68,81.66,81.6 | | water | 45.13,45.09,45.04,45.06,44.96,45.06,44.97,44.96,44.95,45.01,44.96 | | painting | 70.95,70.99,71.04,71.1,71.16,71.26,71.34,71.37,71.44,71.48,71.55 | | sofa | 64.58,64.68,64.83,64.81,64.87,64.95,65.01,65.04,65.13,65.14,65.08 | | shelf | 40.55,40.62,40.61,40.68,40.79,40.78,40.78,40.78,40.74,40.69,40.5 | | house | 46.02,46.16,46.19,46.18,46.25,46.36,46.4,46.4,46.42,46.47,46.51 | | sea | 42.95,42.86,42.88,42.9,42.9,42.94,42.85,42.8,42.8,42.74,42.74 | | mirror | 63.71,63.76,63.8,63.84,63.94,63.99,63.95,63.9,63.81,63.73,64.03 | | rug | 55.59,55.7,55.77,56.12,56.01,56.09,56.15,56.19,56.13,56.06,56.14 | | field | 23.12,23.14,23.16,23.07,23.09,23.08,23.08,23.07,23.02,22.98,23.03 | | armchair | 44.34,44.47,44.57,44.5,44.49,44.62,44.55,44.62,44.74,44.67,44.59 | | seat | 57.74,57.74,57.81,57.81,57.76,57.75,57.67,57.68,57.67,57.66,57.74 | | fence | 35.73,35.86,35.9,35.91,36.0,36.0,36.04,36.11,36.12,36.12,36.1 | | desk | 49.17,49.08,49.13,49.07,48.9,49.04,48.84,48.91,48.84,48.87,49.04 | | rock | 30.21,30.38,30.4,30.35,30.48,30.27,30.36,30.38,30.39,30.47,30.61 | | wardrobe | 44.67,44.64,44.87,44.74,44.87,44.93,45.0,44.99,44.99,45.14,45.05 | | lamp | 63.37,63.41,63.39,63.44,63.48,63.47,63.46,63.56,63.48,63.53,63.48 | | bathtub | 77.32,77.45,77.59,77.66,77.65,77.84,77.85,77.87,77.88,77.84,78.01 | | railing | 28.98,29.02,28.99,28.98,29.02,29.04,29.11,29.06,29.03,29.03,29.02 | | cushion | 54.59,54.6,54.66,54.64,54.65,54.74,54.8,54.74,54.8,54.77,54.66 | | base | 21.44,21.52,21.57,21.71,21.75,21.78,21.83,21.99,21.97,21.89,21.73 | | box | 22.52,22.5,22.53,22.48,22.57,22.59,22.55,22.51,22.56,22.44,22.73 | | column | 45.64,45.84,45.84,45.98,46.02,46.04,46.12,46.02,45.86,45.85,46.06 | | signboard | 36.13,36.09,36.15,36.17,36.24,36.3,36.37,36.45,36.52,36.65,36.62 | | chest of drawers | 37.37,37.51,37.54,37.62,37.48,37.35,37.06,37.18,37.03,36.89,37.19 | | counter | 25.91,25.61,25.35,25.18,24.96,24.82,24.52,24.47,24.35,24.3,24.19 | | sand | 30.58,30.11,30.09,29.78,29.69,29.63,29.52,29.55,29.49,29.46,29.41 | | sink | 69.04,69.09,69.13,69.14,69.17,69.13,69.24,69.23,69.23,69.28,69.18 | | skyscraper | 60.13,60.02,60.48,59.72,59.25,59.98,60.04,60.05,59.25,60.05,59.41 | | fireplace | 70.71,70.75,70.69,70.59,70.59,70.55,70.48,70.55,70.47,70.49,70.38 | | refrigerator | 71.37,71.56,71.59,71.63,71.58,71.59,71.61,71.62,71.57,71.65,71.16 | | grandstand | 39.56,39.77,39.47,39.33,39.37,39.16,39.33,39.01,39.06,39.07,38.78 | | path | 16.56,16.5,16.72,16.78,16.91,17.1,17.32,17.37,17.43,17.61,17.58 | | stairs | 30.44,30.47,30.47,30.46,30.45,30.39,30.44,30.4,30.37,30.41,30.45 | | runway | 60.45,60.58,60.65,60.78,60.91,60.98,61.14,61.25,61.35,61.43,61.51 | | case | 44.67,44.81,44.72,44.65,44.59,44.66,44.46,44.4,44.36,44.13,44.35 | | pool table | 91.82,91.79,91.83,91.81,91.8,91.79,91.76,91.72,91.74,91.73,91.8 | | pillow | 55.77,55.77,55.8,55.81,55.94,55.85,55.8,55.67,55.65,55.59,55.88 | | screen door | 67.02,67.25,67.77,67.94,68.42,68.37,68.4,68.88,69.12,68.95,68.36 | | stairway | 31.76,31.77,31.7,31.68,31.59,31.59,31.5,31.44,31.42,31.35,31.3 | | river | 12.21,12.19,12.19,12.21,12.17,12.19,12.19,12.19,12.2,12.18,12.18 | | bridge | 62.83,63.06,63.02,62.93,63.16,63.08,63.19,63.14,63.11,63.22,62.96 | | bookcase | 40.69,40.76,40.74,40.77,40.91,40.91,40.85,40.84,40.8,40.74,40.48 | | blind | 40.7,40.77,40.67,40.66,40.61,40.56,40.62,40.62,40.77,40.73,40.26 | | coffee table | 58.06,58.14,58.24,58.1,58.4,58.24,58.28,58.37,58.41,58.37,58.25 | | toilet | 86.11,86.09,86.12,86.13,86.12,86.09,86.1,86.09,86.08,86.12,85.99 | | flower | 34.27,34.31,34.3,34.23,34.19,34.19,34.23,34.24,34.3,34.22,34.13 | | book | 46.25,46.23,46.29,46.5,46.49,46.67,46.72,46.78,46.9,46.96,46.57 | | hill | 4.08,4.14,4.16,4.12,4.13,4.07,4.09,4.24,4.27,4.31,4.26 | | bench | 37.84,37.87,37.93,37.98,38.16,38.21,38.13,38.25,38.21,38.2,38.25 | | countertop | 56.96,57.08,56.98,57.09,56.96,57.03,56.88,57.12,56.94,57.15,56.68 | | stove | 72.44,72.4,72.55,72.65,72.64,72.74,72.45,72.48,72.4,72.37,72.65 | | palm | 51.08,51.12,51.04,51.18,51.11,51.1,51.13,51.12,51.07,51.13,51.21 | | kitchen island | 47.91,47.88,47.65,47.54,47.34,47.18,47.25,47.09,46.87,46.9,47.02 | | computer | 55.71,55.7,55.75,55.83,55.73,55.68,55.81,55.77,55.8,55.79,55.69 | | swivel chair | 44.67,44.65,44.69,44.67,44.7,44.75,44.64,44.81,44.74,44.73,44.86 | | boat | 46.98,47.1,46.95,46.87,46.79,46.72,46.74,46.66,46.64,46.82,46.96 | | bar | 23.75,23.73,23.74,23.8,23.8,23.84,23.81,23.86,23.89,23.96,23.98 | | arcade machine | 24.97,24.88,24.9,24.68,24.57,24.71,24.49,24.49,25.15,25.27,24.66 | | hovel | 37.51,37.72,37.63,37.71,37.89,37.82,37.78,37.83,37.84,37.96,37.67 | | bus | 79.36,79.31,79.29,79.23,79.22,79.23,79.13,79.04,79.02,78.95,78.9 | | towel | 56.67,56.65,56.72,56.69,56.77,56.64,56.75,56.72,56.7,56.75,56.91 | | light | 54.66,54.59,54.49,54.43,54.42,54.34,54.3,54.18,54.15,54.05,54.01 | | truck | 33.62,33.67,33.67,33.91,33.92,33.87,33.9,33.96,34.06,33.99,34.1 | | tower | 31.63,31.63,31.75,31.58,31.45,31.48,31.16,31.2,31.25,31.21,31.35 | | chandelier | 68.15,68.15,68.16,68.33,68.3,68.28,68.37,68.36,68.33,68.35,68.42 | | awning | 24.1,24.04,24.13,24.16,24.11,24.18,24.17,24.16,24.19,24.27,24.33 | | streetlight | 26.78,26.68,26.78,26.84,26.89,26.86,26.94,26.95,26.97,26.97,26.95 | | booth | 41.62,41.86,41.98,41.57,41.72,41.97,41.71,41.77,42.19,42.52,43.53 | | television receiver | 67.38,67.45,67.3,67.3,67.14,67.23,67.02,67.05,66.93,67.03,67.03 | | airplane | 51.54,51.3,51.32,51.15,51.05,51.13,51.1,51.08,51.01,51.08,50.88 | | dirt track | 3.59,3.58,3.58,3.57,3.58,3.55,3.49,3.54,3.48,3.45,3.47 | | apparel | 28.15,28.27,28.31,28.41,28.46,28.51,28.53,28.65,28.64,28.64,28.78 | | pole | 23.9,23.82,23.83,23.76,23.77,23.75,23.71,23.68,23.65,23.62,23.62 | | land | 0.65,0.63,0.65,0.65,0.63,0.61,0.65,0.66,0.62,0.64,0.65 | | bannister | 9.71,9.74,9.82,9.9,10.0,10.15,10.25,10.27,10.33,10.47,10.43 | | escalator | 22.35,22.29,22.37,22.33,22.4,22.44,22.22,22.36,22.24,22.25,22.09 | | ottoman | 42.44,42.62,42.84,42.73,42.49,42.59,42.52,42.51,42.3,42.19,42.09 | | bottle | 12.52,12.54,12.59,12.57,12.66,12.55,12.61,12.69,12.74,12.74,12.79 | | buffet | 34.41,34.38,34.44,34.41,34.42,34.39,34.39,34.4,34.36,34.43,34.35 | | poster | 25.31,25.27,25.19,25.43,25.22,25.62,25.43,25.27,25.33,25.41,25.22 | | stage | 11.45,11.64,11.41,11.3,11.06,10.97,10.95,10.81,10.56,10.35,10.01 | | van | 42.71,42.7,42.63,42.9,42.88,42.6,42.84,43.03,43.37,43.25,42.83 | | ship | 71.34,71.52,71.6,71.84,71.95,72.1,72.29,72.36,72.53,72.62,72.84 | | fountain | 0.51,0.51,0.52,0.53,0.55,0.53,0.54,0.54,0.54,0.54,0.55 | | conveyer belt | 61.44,61.44,61.49,61.58,61.6,61.59,61.61,61.45,61.74,61.41,61.69 | | canopy | 16.33,16.52,16.57,16.59,16.65,16.7,16.71,16.73,16.8,16.81,16.82 | | washer | 64.14,64.15,64.18,64.06,64.04,64.05,64.02,64.0,63.92,63.93,63.78 | | plaything | 24.16,24.23,24.21,24.38,24.34,24.33,24.41,24.45,24.54,24.58,24.48 | | swimming pool | 28.2,28.14,28.23,28.3,28.31,28.57,28.46,28.53,28.64,28.76,28.8 | | stool | 42.48,42.49,42.61,42.67,42.53,42.61,42.62,42.68,42.6,42.66,42.94 | | barrel | 40.43,40.26,39.3,39.15,38.55,38.18,37.86,37.2,37.13,37.02,36.42 | | basket | 21.12,21.02,20.92,20.85,20.77,20.68,20.62,20.59,20.52,20.49,20.39 | | waterfall | 47.87,47.06,46.57,46.19,45.11,45.92,44.33,45.39,42.6,45.79,42.71 | | tent | 91.72,91.61,91.46,91.43,91.34,91.34,91.26,91.21,91.24,91.14,91.08 | | bag | 9.69,9.66,9.63,9.59,9.58,9.53,9.44,9.47,9.35,9.36,9.26 | | minibike | 51.48,51.36,51.48,51.31,51.47,51.36,51.42,51.09,50.96,51.07,50.73 | | cradle | 75.91,75.99,75.98,76.01,76.03,76.04,76.03,76.03,76.08,76.12,76.11 | | oven | 22.3,22.6,22.17,22.33,22.32,21.58,21.32,21.11,21.08,20.92,21.48 | | ball | 46.41,46.51,46.65,46.63,46.74,46.8,46.83,46.81,46.82,46.9,46.95 | | food | 47.93,47.7,47.67,47.49,47.32,47.24,47.08,47.0,46.81,46.67,46.47 | | step | 5.52,5.24,5.4,5.21,5.26,5.36,5.15,5.22,5.11,5.01,4.98 | | tank | 47.88,47.88,47.88,47.86,47.8,47.82,47.75,47.74,47.75,47.67,47.58 | | trade name | 20.09,19.98,20.04,20.26,20.09,19.95,19.92,19.98,20.01,20.01,20.09 | | microwave | 39.63,39.64,39.61,39.53,39.47,39.5,39.4,39.42,39.27,39.25,39.28 | | pot | 37.1,37.16,37.17,37.13,36.96,37.09,37.06,36.96,36.97,36.93,36.87 | | animal | 51.15,51.19,51.3,51.19,51.3,51.41,51.38,51.44,51.41,51.45,51.21 | | bicycle | 44.91,44.95,44.83,44.8,44.87,44.92,44.94,44.86,44.87,44.71,44.81 | | lake | 58.95,58.95,59.05,59.12,59.06,58.8,59.01,59.6,59.64,59.35,58.91 | | dishwasher | 73.13,73.24,73.06,72.85,73.26,73.31,73.19,72.84,73.08,72.66,72.99 | | screen | 55.55,55.26,55.18,55.2,55.03,54.95,54.96,54.86,55.03,55.04,55.05 | | blanket | 6.54,6.63,6.58,6.64,6.62,6.62,6.68,6.64,6.68,6.72,6.74 | | sculpture | 42.12,42.15,41.92,41.83,41.64,41.63,41.59,41.47,41.38,41.17,40.96 | | hood | 60.74,60.9,60.97,60.93,60.95,61.01,61.08,61.05,61.09,61.11,61.01 | | sconce | 42.46,42.45,42.49,42.63,42.51,42.59,42.58,42.58,42.63,42.67,42.62 | | vase | 32.46,32.58,32.61,32.64,32.65,32.68,32.66,32.77,32.72,32.77,32.8 | | traffic light | 28.77,28.61,28.68,28.57,28.48,28.45,28.38,28.46,28.33,28.38,28.15 | | tray | 5.45,5.49,5.67,5.82,5.82,5.88,5.92,6.01,6.05,5.98,6.15 | | ashcan | 42.31,42.45,42.48,42.67,42.86,42.81,42.82,42.97,42.95,42.96,43.1 | | fan | 57.25,57.37,57.26,57.17,57.38,57.09,57.29,57.22,57.26,57.16,57.27 | | pier | 19.8,19.95,19.57,19.45,19.34,19.21,18.86,19.04,18.83,18.88,18.94 | | crt screen | 6.24,6.23,6.22,6.28,6.41,6.4,6.79,6.68,6.83,7.08,7.35 | | plate | 40.79,40.73,40.96,41.01,41.16,41.24,41.29,41.47,41.3,41.34,41.34 | | monitor | 62.88,62.71,62.88,63.23,63.17,63.18,63.24,63.25,63.2,62.96,62.71 | | bulletin board | 36.75,36.98,37.74,38.1,38.45,38.62,38.96,39.19,39.18,39.49,39.04 | | shower | 0.74,0.71,0.77,0.8,0.77,0.74,0.74,0.78,0.73,0.7,0.7 | | radiator | 41.9,41.96,41.85,41.96,41.85,41.81,41.78,41.71,41.79,41.68,41.12 | | glass | 9.75,9.74,9.73,9.69,9.58,9.61,9.49,9.52,9.48,9.44,9.42 | | clock | 19.65,19.62,19.28,19.43,19.42,19.35,19.22,19.14,18.85,18.93,18.78 | | flag | 41.11,41.25,41.27,41.24,41.29,41.25,41.45,41.42,41.46,41.4,41.33 | +---------------------+-------------------------------------------------------------------+ 2023-03-04 08:04:12,555 - mmseg - INFO - Summary: 2023-03-04 08:04:12,555 - mmseg - INFO - +--------------------------------------------------------------+ | mIoU 0,10,20,30,40,50,60,70,80,90,99 | +--------------------------------------------------------------+ | 45.18,45.19,45.2,45.2,45.19,45.2,45.18,45.2,45.17,45.2,45.14 | +--------------------------------------------------------------+ 2023-03-04 08:04:12,555 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 08:04:12,555 - mmseg - INFO - Iter(val) [250] mIoU: [0.4518, 0.4519, 0.452, 0.452, 0.4519, 0.452, 0.4518, 0.452, 0.4517, 0.452, 0.4514], copy_paste: 45.18,45.19,45.2,45.2,45.19,45.2,45.18,45.2,45.17,45.2,45.14 2023-03-04 08:04:12,563 - mmseg - INFO - Swap parameters (before train) before iter [144001] 2023-03-04 08:04:24,691 - mmseg - INFO - Iter [144050/160000] lr: 1.172e-06, eta: 1:14:31, time: 13.363, data_time: 13.127, memory: 67409, decode.loss_ce: 0.1961, decode.acc_seg: 92.1545, loss: 0.1961 2023-03-04 08:04:36,783 - mmseg - INFO - Iter [144100/160000] lr: 1.172e-06, eta: 1:14:17, time: 0.242, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1961, decode.acc_seg: 92.2215, loss: 0.1961 2023-03-04 08:04:48,891 - mmseg - INFO - Iter [144150/160000] lr: 1.172e-06, eta: 1:14:03, time: 0.242, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1921, decode.acc_seg: 92.3500, loss: 0.1921 2023-03-04 08:05:00,697 - mmseg - INFO - Iter [144200/160000] lr: 1.172e-06, eta: 1:13:48, time: 0.236, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1982, decode.acc_seg: 92.1114, loss: 0.1982 2023-03-04 08:05:12,392 - mmseg - INFO - Iter [144250/160000] lr: 1.172e-06, eta: 1:13:34, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1948, decode.acc_seg: 92.1777, loss: 0.1948 2023-03-04 08:05:24,058 - mmseg - INFO - Iter [144300/160000] lr: 1.172e-06, eta: 1:13:20, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1968, decode.acc_seg: 92.0261, loss: 0.1968 2023-03-04 08:05:35,645 - mmseg - INFO - Iter [144350/160000] lr: 1.172e-06, eta: 1:13:05, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2040, decode.acc_seg: 91.7483, loss: 0.2040 2023-03-04 08:05:47,232 - mmseg - INFO - Iter [144400/160000] lr: 1.172e-06, eta: 1:12:51, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2009, decode.acc_seg: 92.0361, loss: 0.2009 2023-03-04 08:05:58,894 - mmseg - INFO - Iter [144450/160000] lr: 1.172e-06, eta: 1:12:37, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2037, decode.acc_seg: 91.8779, loss: 0.2037 2023-03-04 08:06:13,152 - mmseg - INFO - Iter [144500/160000] lr: 1.172e-06, eta: 1:12:23, time: 0.285, data_time: 0.053, memory: 67409, decode.loss_ce: 0.1990, decode.acc_seg: 92.0454, loss: 0.1990 2023-03-04 08:06:24,783 - mmseg - INFO - Iter [144550/160000] lr: 1.172e-06, eta: 1:12:09, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2025, decode.acc_seg: 91.9811, loss: 0.2025 2023-03-04 08:06:36,355 - mmseg - INFO - Iter [144600/160000] lr: 1.172e-06, eta: 1:11:54, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1917, decode.acc_seg: 92.2870, loss: 0.1917 2023-03-04 08:06:47,977 - mmseg - INFO - Iter [144650/160000] lr: 1.172e-06, eta: 1:11:40, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1945, decode.acc_seg: 92.1750, loss: 0.1945 2023-03-04 08:06:59,453 - mmseg - INFO - Iter [144700/160000] lr: 1.172e-06, eta: 1:11:26, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1962, decode.acc_seg: 92.1608, loss: 0.1962 2023-03-04 08:07:11,107 - mmseg - INFO - Iter [144750/160000] lr: 1.172e-06, eta: 1:11:12, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1912, decode.acc_seg: 92.2212, loss: 0.1912 2023-03-04 08:07:22,589 - mmseg - INFO - Iter [144800/160000] lr: 1.172e-06, eta: 1:10:57, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2012, decode.acc_seg: 91.7927, loss: 0.2012 2023-03-04 08:07:34,160 - mmseg - INFO - Iter [144850/160000] lr: 1.172e-06, eta: 1:10:43, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1985, decode.acc_seg: 92.1002, loss: 0.1985 2023-03-04 08:07:45,673 - mmseg - INFO - Iter [144900/160000] lr: 1.172e-06, eta: 1:10:29, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1951, decode.acc_seg: 92.1274, loss: 0.1951 2023-03-04 08:07:57,098 - mmseg - INFO - Iter [144950/160000] lr: 1.172e-06, eta: 1:10:15, time: 0.228, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2021, decode.acc_seg: 92.1446, loss: 0.2021 2023-03-04 08:08:08,525 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 08:08:08,525 - mmseg - INFO - Iter [145000/160000] lr: 1.172e-06, eta: 1:10:00, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2062, decode.acc_seg: 91.7033, loss: 0.2062 2023-03-04 08:08:19,983 - mmseg - INFO - Iter [145050/160000] lr: 1.172e-06, eta: 1:09:46, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2000, decode.acc_seg: 91.9832, loss: 0.2000 2023-03-04 08:08:31,419 - mmseg - INFO - Iter [145100/160000] lr: 1.172e-06, eta: 1:09:32, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1937, decode.acc_seg: 92.1124, loss: 0.1937 2023-03-04 08:08:45,490 - mmseg - INFO - Iter [145150/160000] lr: 1.172e-06, eta: 1:09:18, time: 0.281, data_time: 0.055, memory: 67409, decode.loss_ce: 0.1955, decode.acc_seg: 92.0360, loss: 0.1955 2023-03-04 08:08:57,128 - mmseg - INFO - Iter [145200/160000] lr: 1.172e-06, eta: 1:09:04, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1857, decode.acc_seg: 92.4383, loss: 0.1857 2023-03-04 08:09:08,763 - mmseg - INFO - Iter [145250/160000] lr: 1.172e-06, eta: 1:08:49, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1998, decode.acc_seg: 91.8393, loss: 0.1998 2023-03-04 08:09:20,222 - mmseg - INFO - Iter [145300/160000] lr: 1.172e-06, eta: 1:08:35, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1968, decode.acc_seg: 92.0339, loss: 0.1968 2023-03-04 08:09:31,770 - mmseg - INFO - Iter [145350/160000] lr: 1.172e-06, eta: 1:08:21, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2096, decode.acc_seg: 91.7010, loss: 0.2096 2023-03-04 08:09:43,525 - mmseg - INFO - Iter [145400/160000] lr: 1.172e-06, eta: 1:08:07, time: 0.235, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1875, decode.acc_seg: 92.4174, loss: 0.1875 2023-03-04 08:09:55,145 - mmseg - INFO - Iter [145450/160000] lr: 1.172e-06, eta: 1:07:52, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2016, decode.acc_seg: 92.1679, loss: 0.2016 2023-03-04 08:10:06,743 - mmseg - INFO - Iter [145500/160000] lr: 1.172e-06, eta: 1:07:38, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1941, decode.acc_seg: 92.2205, loss: 0.1941 2023-03-04 08:10:18,410 - mmseg - INFO - Iter [145550/160000] lr: 1.172e-06, eta: 1:07:24, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1938, decode.acc_seg: 92.3018, loss: 0.1938 2023-03-04 08:10:29,900 - mmseg - INFO - Iter [145600/160000] lr: 1.172e-06, eta: 1:07:10, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1955, decode.acc_seg: 92.0554, loss: 0.1955 2023-03-04 08:10:41,563 - mmseg - INFO - Iter [145650/160000] lr: 1.172e-06, eta: 1:06:55, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1999, decode.acc_seg: 91.7874, loss: 0.1999 2023-03-04 08:10:53,190 - mmseg - INFO - Iter [145700/160000] lr: 1.172e-06, eta: 1:06:41, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1957, decode.acc_seg: 92.2107, loss: 0.1957 2023-03-04 08:11:04,778 - mmseg - INFO - Iter [145750/160000] lr: 1.172e-06, eta: 1:06:27, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2065, decode.acc_seg: 91.7659, loss: 0.2065 2023-03-04 08:11:18,924 - mmseg - INFO - Iter [145800/160000] lr: 1.172e-06, eta: 1:06:13, time: 0.283, data_time: 0.055, memory: 67409, decode.loss_ce: 0.1932, decode.acc_seg: 92.1930, loss: 0.1932 2023-03-04 08:11:30,588 - mmseg - INFO - Iter [145850/160000] lr: 1.172e-06, eta: 1:05:59, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1952, decode.acc_seg: 92.1961, loss: 0.1952 2023-03-04 08:11:42,097 - mmseg - INFO - Iter [145900/160000] lr: 1.172e-06, eta: 1:05:45, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1966, decode.acc_seg: 92.1012, loss: 0.1966 2023-03-04 08:11:53,645 - mmseg - INFO - Iter [145950/160000] lr: 1.172e-06, eta: 1:05:30, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1881, decode.acc_seg: 92.2985, loss: 0.1881 2023-03-04 08:12:05,107 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 08:12:05,107 - mmseg - INFO - Iter [146000/160000] lr: 1.172e-06, eta: 1:05:16, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1857, decode.acc_seg: 92.5179, loss: 0.1857 2023-03-04 08:12:16,736 - mmseg - INFO - Iter [146050/160000] lr: 1.172e-06, eta: 1:05:02, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2041, decode.acc_seg: 91.9824, loss: 0.2041 2023-03-04 08:12:28,175 - mmseg - INFO - Iter [146100/160000] lr: 1.172e-06, eta: 1:04:48, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1928, decode.acc_seg: 92.2729, loss: 0.1928 2023-03-04 08:12:39,732 - mmseg - INFO - Iter [146150/160000] lr: 1.172e-06, eta: 1:04:33, time: 0.231, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1990, decode.acc_seg: 91.9938, loss: 0.1990 2023-03-04 08:12:51,157 - mmseg - INFO - Iter [146200/160000] lr: 1.172e-06, eta: 1:04:19, time: 0.228, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1911, decode.acc_seg: 92.2487, loss: 0.1911 2023-03-04 08:13:02,872 - mmseg - INFO - Iter [146250/160000] lr: 1.172e-06, eta: 1:04:05, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2003, decode.acc_seg: 92.0058, loss: 0.2003 2023-03-04 08:13:14,649 - mmseg - INFO - Iter [146300/160000] lr: 1.172e-06, eta: 1:03:51, time: 0.236, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1978, decode.acc_seg: 92.0552, loss: 0.1978 2023-03-04 08:13:26,224 - mmseg - INFO - Iter [146350/160000] lr: 1.172e-06, eta: 1:03:37, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1945, decode.acc_seg: 92.1323, loss: 0.1945 2023-03-04 08:13:40,347 - mmseg - INFO - Iter [146400/160000] lr: 1.172e-06, eta: 1:03:23, time: 0.282, data_time: 0.054, memory: 67409, decode.loss_ce: 0.1937, decode.acc_seg: 92.0973, loss: 0.1937 2023-03-04 08:13:51,995 - mmseg - INFO - Iter [146450/160000] lr: 1.172e-06, eta: 1:03:08, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1927, decode.acc_seg: 92.1954, loss: 0.1927 2023-03-04 08:14:04,060 - mmseg - INFO - Iter [146500/160000] lr: 1.172e-06, eta: 1:02:54, time: 0.241, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2019, decode.acc_seg: 91.9397, loss: 0.2019 2023-03-04 08:14:15,691 - mmseg - INFO - Iter [146550/160000] lr: 1.172e-06, eta: 1:02:40, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1958, decode.acc_seg: 92.1146, loss: 0.1958 2023-03-04 08:14:27,109 - mmseg - INFO - Iter [146600/160000] lr: 1.172e-06, eta: 1:02:26, time: 0.228, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1918, decode.acc_seg: 92.1611, loss: 0.1918 2023-03-04 08:14:38,612 - mmseg - INFO - Iter [146650/160000] lr: 1.172e-06, eta: 1:02:12, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1987, decode.acc_seg: 92.1155, loss: 0.1987 2023-03-04 08:14:50,161 - mmseg - INFO - Iter [146700/160000] lr: 1.172e-06, eta: 1:01:57, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1992, decode.acc_seg: 92.0863, loss: 0.1992 2023-03-04 08:15:01,674 - mmseg - INFO - Iter [146750/160000] lr: 1.172e-06, eta: 1:01:43, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1961, decode.acc_seg: 92.1994, loss: 0.1961 2023-03-04 08:15:13,521 - mmseg - INFO - Iter [146800/160000] lr: 1.172e-06, eta: 1:01:29, time: 0.237, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1922, decode.acc_seg: 92.2591, loss: 0.1922 2023-03-04 08:15:25,136 - mmseg - INFO - Iter [146850/160000] lr: 1.172e-06, eta: 1:01:15, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1902, decode.acc_seg: 92.2125, loss: 0.1902 2023-03-04 08:15:36,798 - mmseg - INFO - Iter [146900/160000] lr: 1.172e-06, eta: 1:01:01, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2095, decode.acc_seg: 91.7598, loss: 0.2095 2023-03-04 08:15:48,344 - mmseg - INFO - Iter [146950/160000] lr: 1.172e-06, eta: 1:00:47, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2050, decode.acc_seg: 91.8051, loss: 0.2050 2023-03-04 08:15:59,893 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 08:15:59,893 - mmseg - INFO - Iter [147000/160000] lr: 1.172e-06, eta: 1:00:32, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1969, decode.acc_seg: 92.1629, loss: 0.1969 2023-03-04 08:16:13,967 - mmseg - INFO - Iter [147050/160000] lr: 1.172e-06, eta: 1:00:18, time: 0.281, data_time: 0.054, memory: 67409, decode.loss_ce: 0.1950, decode.acc_seg: 92.3030, loss: 0.1950 2023-03-04 08:16:25,663 - mmseg - INFO - Iter [147100/160000] lr: 1.172e-06, eta: 1:00:04, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1971, decode.acc_seg: 92.0422, loss: 0.1971 2023-03-04 08:16:37,131 - mmseg - INFO - Iter [147150/160000] lr: 1.172e-06, eta: 0:59:50, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1904, decode.acc_seg: 92.2443, loss: 0.1904 2023-03-04 08:16:48,758 - mmseg - INFO - Iter [147200/160000] lr: 1.172e-06, eta: 0:59:36, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1975, decode.acc_seg: 92.1077, loss: 0.1975 2023-03-04 08:17:00,340 - mmseg - INFO - Iter [147250/160000] lr: 1.172e-06, eta: 0:59:22, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1975, decode.acc_seg: 92.0020, loss: 0.1975 2023-03-04 08:17:12,251 - mmseg - INFO - Iter [147300/160000] lr: 1.172e-06, eta: 0:59:08, time: 0.238, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1990, decode.acc_seg: 91.8892, loss: 0.1990 2023-03-04 08:17:23,743 - mmseg - INFO - Iter [147350/160000] lr: 1.172e-06, eta: 0:58:53, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1980, decode.acc_seg: 91.9265, loss: 0.1980 2023-03-04 08:17:35,271 - mmseg - INFO - Iter [147400/160000] lr: 1.172e-06, eta: 0:58:39, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1964, decode.acc_seg: 92.0908, loss: 0.1964 2023-03-04 08:17:46,936 - mmseg - INFO - Iter [147450/160000] lr: 1.172e-06, eta: 0:58:25, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1937, decode.acc_seg: 92.3375, loss: 0.1937 2023-03-04 08:17:58,482 - mmseg - INFO - Iter [147500/160000] lr: 1.172e-06, eta: 0:58:11, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1996, decode.acc_seg: 92.1549, loss: 0.1996 2023-03-04 08:18:10,054 - mmseg - INFO - Iter [147550/160000] lr: 1.172e-06, eta: 0:57:57, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1954, decode.acc_seg: 92.2250, loss: 0.1954 2023-03-04 08:18:21,649 - mmseg - INFO - Iter [147600/160000] lr: 1.172e-06, eta: 0:57:42, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2076, decode.acc_seg: 91.5500, loss: 0.2076 2023-03-04 08:18:33,162 - mmseg - INFO - Iter [147650/160000] lr: 1.172e-06, eta: 0:57:28, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1934, decode.acc_seg: 92.2980, loss: 0.1934 2023-03-04 08:18:47,279 - mmseg - INFO - Iter [147700/160000] lr: 1.172e-06, eta: 0:57:14, time: 0.282, data_time: 0.054, memory: 67409, decode.loss_ce: 0.1954, decode.acc_seg: 92.1263, loss: 0.1954 2023-03-04 08:18:58,818 - mmseg - INFO - Iter [147750/160000] lr: 1.172e-06, eta: 0:57:00, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2033, decode.acc_seg: 91.8464, loss: 0.2033 2023-03-04 08:19:10,296 - mmseg - INFO - Iter [147800/160000] lr: 1.172e-06, eta: 0:56:46, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1902, decode.acc_seg: 92.2005, loss: 0.1902 2023-03-04 08:19:21,894 - mmseg - INFO - Iter [147850/160000] lr: 1.172e-06, eta: 0:56:32, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1950, decode.acc_seg: 92.3011, loss: 0.1950 2023-03-04 08:19:33,648 - mmseg - INFO - Iter [147900/160000] lr: 1.172e-06, eta: 0:56:18, time: 0.235, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1921, decode.acc_seg: 92.2991, loss: 0.1921 2023-03-04 08:19:45,089 - mmseg - INFO - Iter [147950/160000] lr: 1.172e-06, eta: 0:56:04, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1983, decode.acc_seg: 92.1405, loss: 0.1983 2023-03-04 08:19:56,574 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 08:19:56,574 - mmseg - INFO - Iter [148000/160000] lr: 1.172e-06, eta: 0:55:49, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2017, decode.acc_seg: 91.9349, loss: 0.2017 2023-03-04 08:20:08,172 - mmseg - INFO - Iter [148050/160000] lr: 1.172e-06, eta: 0:55:35, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1933, decode.acc_seg: 92.2731, loss: 0.1933 2023-03-04 08:20:19,792 - mmseg - INFO - Iter [148100/160000] lr: 1.172e-06, eta: 0:55:21, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1918, decode.acc_seg: 92.3035, loss: 0.1918 2023-03-04 08:20:31,447 - mmseg - INFO - Iter [148150/160000] lr: 1.172e-06, eta: 0:55:07, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1928, decode.acc_seg: 92.3399, loss: 0.1928 2023-03-04 08:20:43,042 - mmseg - INFO - Iter [148200/160000] lr: 1.172e-06, eta: 0:54:53, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2030, decode.acc_seg: 91.8190, loss: 0.2030 2023-03-04 08:20:54,498 - mmseg - INFO - Iter [148250/160000] lr: 1.172e-06, eta: 0:54:39, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2026, decode.acc_seg: 91.8716, loss: 0.2026 2023-03-04 08:21:08,456 - mmseg - INFO - Iter [148300/160000] lr: 1.172e-06, eta: 0:54:25, time: 0.279, data_time: 0.055, memory: 67409, decode.loss_ce: 0.1926, decode.acc_seg: 92.1693, loss: 0.1926 2023-03-04 08:21:19,896 - mmseg - INFO - Iter [148350/160000] lr: 1.172e-06, eta: 0:54:11, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1976, decode.acc_seg: 92.0911, loss: 0.1976 2023-03-04 08:21:31,396 - mmseg - INFO - Iter [148400/160000] lr: 1.172e-06, eta: 0:53:56, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2053, decode.acc_seg: 91.7750, loss: 0.2053 2023-03-04 08:21:42,930 - mmseg - INFO - Iter [148450/160000] lr: 1.172e-06, eta: 0:53:42, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1936, decode.acc_seg: 92.2162, loss: 0.1936 2023-03-04 08:21:54,486 - mmseg - INFO - Iter [148500/160000] lr: 1.172e-06, eta: 0:53:28, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1994, decode.acc_seg: 91.9790, loss: 0.1994 2023-03-04 08:22:05,981 - mmseg - INFO - Iter [148550/160000] lr: 1.172e-06, eta: 0:53:14, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1907, decode.acc_seg: 92.2804, loss: 0.1907 2023-03-04 08:22:17,514 - mmseg - INFO - Iter [148600/160000] lr: 1.172e-06, eta: 0:53:00, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1963, decode.acc_seg: 92.2014, loss: 0.1963 2023-03-04 08:22:29,122 - mmseg - INFO - Iter [148650/160000] lr: 1.172e-06, eta: 0:52:46, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2019, decode.acc_seg: 91.8026, loss: 0.2019 2023-03-04 08:22:40,869 - mmseg - INFO - Iter [148700/160000] lr: 1.172e-06, eta: 0:52:32, time: 0.235, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1929, decode.acc_seg: 92.1942, loss: 0.1929 2023-03-04 08:22:52,311 - mmseg - INFO - Iter [148750/160000] lr: 1.172e-06, eta: 0:52:18, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1972, decode.acc_seg: 92.2238, loss: 0.1972 2023-03-04 08:23:03,873 - mmseg - INFO - Iter [148800/160000] lr: 1.172e-06, eta: 0:52:03, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1978, decode.acc_seg: 91.9749, loss: 0.1978 2023-03-04 08:23:15,476 - mmseg - INFO - Iter [148850/160000] lr: 1.172e-06, eta: 0:51:49, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1971, decode.acc_seg: 92.0569, loss: 0.1971 2023-03-04 08:23:27,050 - mmseg - INFO - Iter [148900/160000] lr: 1.172e-06, eta: 0:51:35, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1984, decode.acc_seg: 92.0306, loss: 0.1984 2023-03-04 08:23:41,222 - mmseg - INFO - Iter [148950/160000] lr: 1.172e-06, eta: 0:51:21, time: 0.283, data_time: 0.053, memory: 67409, decode.loss_ce: 0.1924, decode.acc_seg: 92.2073, loss: 0.1924 2023-03-04 08:23:52,879 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 08:23:52,879 - mmseg - INFO - Iter [149000/160000] lr: 1.172e-06, eta: 0:51:07, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2002, decode.acc_seg: 92.0728, loss: 0.2002 2023-03-04 08:24:04,477 - mmseg - INFO - Iter [149050/160000] lr: 1.172e-06, eta: 0:50:53, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1929, decode.acc_seg: 92.2492, loss: 0.1929 2023-03-04 08:24:16,045 - mmseg - INFO - Iter [149100/160000] lr: 1.172e-06, eta: 0:50:39, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1891, decode.acc_seg: 92.5081, loss: 0.1891 2023-03-04 08:24:27,673 - mmseg - INFO - Iter [149150/160000] lr: 1.172e-06, eta: 0:50:25, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1973, decode.acc_seg: 91.9539, loss: 0.1973 2023-03-04 08:24:39,480 - mmseg - INFO - Iter [149200/160000] lr: 1.172e-06, eta: 0:50:11, time: 0.236, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1988, decode.acc_seg: 92.0534, loss: 0.1988 2023-03-04 08:24:51,013 - mmseg - INFO - Iter [149250/160000] lr: 1.172e-06, eta: 0:49:57, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2005, decode.acc_seg: 91.9388, loss: 0.2005 2023-03-04 08:25:02,624 - mmseg - INFO - Iter [149300/160000] lr: 1.172e-06, eta: 0:49:42, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2001, decode.acc_seg: 91.9450, loss: 0.2001 2023-03-04 08:25:14,109 - mmseg - INFO - Iter [149350/160000] lr: 1.172e-06, eta: 0:49:28, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1985, decode.acc_seg: 92.0449, loss: 0.1985 2023-03-04 08:25:25,658 - mmseg - INFO - Iter [149400/160000] lr: 1.172e-06, eta: 0:49:14, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2022, decode.acc_seg: 91.7835, loss: 0.2022 2023-03-04 08:25:37,141 - mmseg - INFO - Iter [149450/160000] lr: 1.172e-06, eta: 0:49:00, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1997, decode.acc_seg: 91.8090, loss: 0.1997 2023-03-04 08:25:48,624 - mmseg - INFO - Iter [149500/160000] lr: 1.172e-06, eta: 0:48:46, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1902, decode.acc_seg: 92.3804, loss: 0.1902 2023-03-04 08:26:02,705 - mmseg - INFO - Iter [149550/160000] lr: 1.172e-06, eta: 0:48:32, time: 0.281, data_time: 0.052, memory: 67409, decode.loss_ce: 0.1898, decode.acc_seg: 92.2942, loss: 0.1898 2023-03-04 08:26:14,321 - mmseg - INFO - Iter [149600/160000] lr: 1.172e-06, eta: 0:48:18, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1966, decode.acc_seg: 92.1746, loss: 0.1966 2023-03-04 08:26:25,995 - mmseg - INFO - Iter [149650/160000] lr: 1.172e-06, eta: 0:48:04, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1899, decode.acc_seg: 92.3561, loss: 0.1899 2023-03-04 08:26:37,632 - mmseg - INFO - Iter [149700/160000] lr: 1.172e-06, eta: 0:47:50, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2058, decode.acc_seg: 91.7881, loss: 0.2058 2023-03-04 08:26:49,169 - mmseg - INFO - Iter [149750/160000] lr: 1.172e-06, eta: 0:47:36, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2006, decode.acc_seg: 91.9453, loss: 0.2006 2023-03-04 08:27:00,723 - mmseg - INFO - Iter [149800/160000] lr: 1.172e-06, eta: 0:47:22, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1992, decode.acc_seg: 91.9932, loss: 0.1992 2023-03-04 08:27:12,493 - mmseg - INFO - Iter [149850/160000] lr: 1.172e-06, eta: 0:47:08, time: 0.235, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1914, decode.acc_seg: 92.3999, loss: 0.1914 2023-03-04 08:27:24,336 - mmseg - INFO - Iter [149900/160000] lr: 1.172e-06, eta: 0:46:53, time: 0.237, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1905, decode.acc_seg: 92.2712, loss: 0.1905 2023-03-04 08:27:36,178 - mmseg - INFO - Iter [149950/160000] lr: 1.172e-06, eta: 0:46:39, time: 0.237, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2024, decode.acc_seg: 91.8363, loss: 0.2024 2023-03-04 08:27:47,694 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 08:27:47,694 - mmseg - INFO - Iter [150000/160000] lr: 1.172e-06, eta: 0:46:25, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1904, decode.acc_seg: 92.2788, loss: 0.1904 2023-03-04 08:27:59,204 - mmseg - INFO - Iter [150050/160000] lr: 1.172e-06, eta: 0:46:11, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1993, decode.acc_seg: 92.0672, loss: 0.1993 2023-03-04 08:28:10,679 - mmseg - INFO - Iter [150100/160000] lr: 1.172e-06, eta: 0:45:57, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1965, decode.acc_seg: 92.0059, loss: 0.1965 2023-03-04 08:28:22,306 - mmseg - INFO - Iter [150150/160000] lr: 1.172e-06, eta: 0:45:43, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1948, decode.acc_seg: 92.2061, loss: 0.1948 2023-03-04 08:28:36,590 - mmseg - INFO - Iter [150200/160000] lr: 1.172e-06, eta: 0:45:29, time: 0.286, data_time: 0.053, memory: 67409, decode.loss_ce: 0.1979, decode.acc_seg: 92.0804, loss: 0.1979 2023-03-04 08:28:48,148 - mmseg - INFO - Iter [150250/160000] lr: 1.172e-06, eta: 0:45:15, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1972, decode.acc_seg: 91.9821, loss: 0.1972 2023-03-04 08:28:59,638 - mmseg - INFO - Iter [150300/160000] lr: 1.172e-06, eta: 0:45:01, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1959, decode.acc_seg: 92.1078, loss: 0.1959 2023-03-04 08:29:11,227 - mmseg - INFO - Iter [150350/160000] lr: 1.172e-06, eta: 0:44:47, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1941, decode.acc_seg: 92.1395, loss: 0.1941 2023-03-04 08:29:22,788 - mmseg - INFO - Iter [150400/160000] lr: 1.172e-06, eta: 0:44:33, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1959, decode.acc_seg: 92.0222, loss: 0.1959 2023-03-04 08:29:34,371 - mmseg - INFO - Iter [150450/160000] lr: 1.172e-06, eta: 0:44:19, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2000, decode.acc_seg: 92.0214, loss: 0.2000 2023-03-04 08:29:46,072 - mmseg - INFO - Iter [150500/160000] lr: 1.172e-06, eta: 0:44:05, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1914, decode.acc_seg: 92.2937, loss: 0.1914 2023-03-04 08:29:57,735 - mmseg - INFO - Iter [150550/160000] lr: 1.172e-06, eta: 0:43:51, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1988, decode.acc_seg: 91.9964, loss: 0.1988 2023-03-04 08:30:09,431 - mmseg - INFO - Iter [150600/160000] lr: 1.172e-06, eta: 0:43:37, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1975, decode.acc_seg: 92.0876, loss: 0.1975 2023-03-04 08:30:20,951 - mmseg - INFO - Iter [150650/160000] lr: 1.172e-06, eta: 0:43:22, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1948, decode.acc_seg: 92.2610, loss: 0.1948 2023-03-04 08:30:32,573 - mmseg - INFO - Iter [150700/160000] lr: 1.172e-06, eta: 0:43:08, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1937, decode.acc_seg: 92.0791, loss: 0.1937 2023-03-04 08:30:44,220 - mmseg - INFO - Iter [150750/160000] lr: 1.172e-06, eta: 0:42:54, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1960, decode.acc_seg: 92.0639, loss: 0.1960 2023-03-04 08:30:55,944 - mmseg - INFO - Iter [150800/160000] lr: 1.172e-06, eta: 0:42:40, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1932, decode.acc_seg: 92.3023, loss: 0.1932 2023-03-04 08:31:10,133 - mmseg - INFO - Iter [150850/160000] lr: 1.172e-06, eta: 0:42:26, time: 0.284, data_time: 0.053, memory: 67409, decode.loss_ce: 0.1905, decode.acc_seg: 92.4602, loss: 0.1905 2023-03-04 08:31:21,909 - mmseg - INFO - Iter [150900/160000] lr: 1.172e-06, eta: 0:42:12, time: 0.236, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1883, decode.acc_seg: 92.4571, loss: 0.1883 2023-03-04 08:31:33,576 - mmseg - INFO - Iter [150950/160000] lr: 1.172e-06, eta: 0:41:58, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2022, decode.acc_seg: 91.8614, loss: 0.2022 2023-03-04 08:31:45,223 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 08:31:45,223 - mmseg - INFO - Iter [151000/160000] lr: 1.172e-06, eta: 0:41:44, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1976, decode.acc_seg: 91.8360, loss: 0.1976 2023-03-04 08:31:56,679 - mmseg - INFO - Iter [151050/160000] lr: 1.172e-06, eta: 0:41:30, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1926, decode.acc_seg: 92.2074, loss: 0.1926 2023-03-04 08:32:08,448 - mmseg - INFO - Iter [151100/160000] lr: 1.172e-06, eta: 0:41:16, time: 0.235, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1958, decode.acc_seg: 92.1953, loss: 0.1958 2023-03-04 08:32:19,948 - mmseg - INFO - Iter [151150/160000] lr: 1.172e-06, eta: 0:41:02, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2010, decode.acc_seg: 92.0217, loss: 0.2010 2023-03-04 08:32:31,421 - mmseg - INFO - Iter [151200/160000] lr: 1.172e-06, eta: 0:40:48, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1896, decode.acc_seg: 92.2711, loss: 0.1896 2023-03-04 08:32:43,448 - mmseg - INFO - Iter [151250/160000] lr: 1.172e-06, eta: 0:40:34, time: 0.241, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1923, decode.acc_seg: 92.2326, loss: 0.1923 2023-03-04 08:32:54,953 - mmseg - INFO - Iter [151300/160000] lr: 1.172e-06, eta: 0:40:20, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2019, decode.acc_seg: 91.8253, loss: 0.2019 2023-03-04 08:33:06,435 - mmseg - INFO - Iter [151350/160000] lr: 1.172e-06, eta: 0:40:06, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2025, decode.acc_seg: 92.0331, loss: 0.2025 2023-03-04 08:33:18,178 - mmseg - INFO - Iter [151400/160000] lr: 1.172e-06, eta: 0:39:52, time: 0.235, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1855, decode.acc_seg: 92.4602, loss: 0.1855 2023-03-04 08:33:32,250 - mmseg - INFO - Iter [151450/160000] lr: 1.172e-06, eta: 0:39:38, time: 0.281, data_time: 0.055, memory: 67409, decode.loss_ce: 0.2004, decode.acc_seg: 91.9382, loss: 0.2004 2023-03-04 08:33:43,694 - mmseg - INFO - Iter [151500/160000] lr: 1.172e-06, eta: 0:39:24, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2026, decode.acc_seg: 91.8515, loss: 0.2026 2023-03-04 08:33:55,376 - mmseg - INFO - Iter [151550/160000] lr: 1.172e-06, eta: 0:39:10, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2031, decode.acc_seg: 91.8893, loss: 0.2031 2023-03-04 08:34:07,008 - mmseg - INFO - Iter [151600/160000] lr: 1.172e-06, eta: 0:38:56, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2055, decode.acc_seg: 91.7064, loss: 0.2055 2023-03-04 08:34:18,603 - mmseg - INFO - Iter [151650/160000] lr: 1.172e-06, eta: 0:38:42, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1932, decode.acc_seg: 92.1778, loss: 0.1932 2023-03-04 08:34:30,040 - mmseg - INFO - Iter [151700/160000] lr: 1.172e-06, eta: 0:38:28, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2029, decode.acc_seg: 91.9097, loss: 0.2029 2023-03-04 08:34:41,687 - mmseg - INFO - Iter [151750/160000] lr: 1.172e-06, eta: 0:38:14, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1949, decode.acc_seg: 92.2193, loss: 0.1949 2023-03-04 08:34:53,185 - mmseg - INFO - Iter [151800/160000] lr: 1.172e-06, eta: 0:38:00, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1919, decode.acc_seg: 92.3679, loss: 0.1919 2023-03-04 08:35:04,664 - mmseg - INFO - Iter [151850/160000] lr: 1.172e-06, eta: 0:37:46, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2044, decode.acc_seg: 91.8221, loss: 0.2044 2023-03-04 08:35:16,300 - mmseg - INFO - Iter [151900/160000] lr: 1.172e-06, eta: 0:37:32, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1905, decode.acc_seg: 92.2590, loss: 0.1905 2023-03-04 08:35:27,808 - mmseg - INFO - Iter [151950/160000] lr: 1.172e-06, eta: 0:37:18, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1875, decode.acc_seg: 92.5490, loss: 0.1875 2023-03-04 08:35:39,305 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 08:35:39,305 - mmseg - INFO - Iter [152000/160000] lr: 1.172e-06, eta: 0:37:04, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2010, decode.acc_seg: 92.0420, loss: 0.2010 2023-03-04 08:35:50,969 - mmseg - INFO - Iter [152050/160000] lr: 1.172e-06, eta: 0:36:50, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1963, decode.acc_seg: 92.0816, loss: 0.1963 2023-03-04 08:36:05,038 - mmseg - INFO - Iter [152100/160000] lr: 1.172e-06, eta: 0:36:36, time: 0.281, data_time: 0.055, memory: 67409, decode.loss_ce: 0.1925, decode.acc_seg: 92.0695, loss: 0.1925 2023-03-04 08:36:16,565 - mmseg - INFO - Iter [152150/160000] lr: 1.172e-06, eta: 0:36:22, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1974, decode.acc_seg: 92.0885, loss: 0.1974 2023-03-04 08:36:28,131 - mmseg - INFO - Iter [152200/160000] lr: 1.172e-06, eta: 0:36:08, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1898, decode.acc_seg: 92.3998, loss: 0.1898 2023-03-04 08:36:39,707 - mmseg - INFO - Iter [152250/160000] lr: 1.172e-06, eta: 0:35:54, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2000, decode.acc_seg: 91.9487, loss: 0.2000 2023-03-04 08:36:51,425 - mmseg - INFO - Iter [152300/160000] lr: 1.172e-06, eta: 0:35:40, time: 0.235, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1940, decode.acc_seg: 92.0683, loss: 0.1940 2023-03-04 08:37:03,073 - mmseg - INFO - Iter [152350/160000] lr: 1.172e-06, eta: 0:35:26, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2036, decode.acc_seg: 91.8512, loss: 0.2036 2023-03-04 08:37:14,520 - mmseg - INFO - Iter [152400/160000] lr: 1.172e-06, eta: 0:35:12, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1901, decode.acc_seg: 92.3256, loss: 0.1901 2023-03-04 08:37:26,036 - mmseg - INFO - Iter [152450/160000] lr: 1.172e-06, eta: 0:34:58, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1888, decode.acc_seg: 92.3573, loss: 0.1888 2023-03-04 08:37:37,771 - mmseg - INFO - Iter [152500/160000] lr: 1.172e-06, eta: 0:34:44, time: 0.235, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1913, decode.acc_seg: 92.2764, loss: 0.1913 2023-03-04 08:37:49,398 - mmseg - INFO - Iter [152550/160000] lr: 1.172e-06, eta: 0:34:30, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2034, decode.acc_seg: 91.7973, loss: 0.2034 2023-03-04 08:38:00,936 - mmseg - INFO - Iter [152600/160000] lr: 1.172e-06, eta: 0:34:16, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2047, decode.acc_seg: 91.8077, loss: 0.2047 2023-03-04 08:38:12,526 - mmseg - INFO - Iter [152650/160000] lr: 1.172e-06, eta: 0:34:02, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1974, decode.acc_seg: 91.9602, loss: 0.1974 2023-03-04 08:38:23,922 - mmseg - INFO - Iter [152700/160000] lr: 1.172e-06, eta: 0:33:48, time: 0.228, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1962, decode.acc_seg: 92.1460, loss: 0.1962 2023-03-04 08:38:38,080 - mmseg - INFO - Iter [152750/160000] lr: 1.172e-06, eta: 0:33:34, time: 0.283, data_time: 0.053, memory: 67409, decode.loss_ce: 0.1952, decode.acc_seg: 92.0260, loss: 0.1952 2023-03-04 08:38:49,536 - mmseg - INFO - Iter [152800/160000] lr: 1.172e-06, eta: 0:33:20, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1981, decode.acc_seg: 91.9246, loss: 0.1981 2023-03-04 08:39:01,376 - mmseg - INFO - Iter [152850/160000] lr: 1.172e-06, eta: 0:33:06, time: 0.237, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1965, decode.acc_seg: 92.1849, loss: 0.1965 2023-03-04 08:39:13,021 - mmseg - INFO - Iter [152900/160000] lr: 1.172e-06, eta: 0:32:52, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1960, decode.acc_seg: 92.1634, loss: 0.1960 2023-03-04 08:39:24,516 - mmseg - INFO - Iter [152950/160000] lr: 1.172e-06, eta: 0:32:38, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1933, decode.acc_seg: 92.2245, loss: 0.1933 2023-03-04 08:39:36,166 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 08:39:36,166 - mmseg - INFO - Iter [153000/160000] lr: 1.172e-06, eta: 0:32:24, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2025, decode.acc_seg: 91.9071, loss: 0.2025 2023-03-04 08:39:47,641 - mmseg - INFO - Iter [153050/160000] lr: 1.172e-06, eta: 0:32:10, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1918, decode.acc_seg: 92.3241, loss: 0.1918 2023-03-04 08:39:59,259 - mmseg - INFO - Iter [153100/160000] lr: 1.172e-06, eta: 0:31:56, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1934, decode.acc_seg: 92.2685, loss: 0.1934 2023-03-04 08:40:10,978 - mmseg - INFO - Iter [153150/160000] lr: 1.172e-06, eta: 0:31:42, time: 0.235, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1907, decode.acc_seg: 92.2481, loss: 0.1907 2023-03-04 08:40:22,502 - mmseg - INFO - Iter [153200/160000] lr: 1.172e-06, eta: 0:31:28, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1935, decode.acc_seg: 92.1544, loss: 0.1935 2023-03-04 08:40:34,136 - mmseg - INFO - Iter [153250/160000] lr: 1.172e-06, eta: 0:31:14, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1962, decode.acc_seg: 92.1576, loss: 0.1962 2023-03-04 08:40:45,868 - mmseg - INFO - Iter [153300/160000] lr: 1.172e-06, eta: 0:31:00, time: 0.235, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2008, decode.acc_seg: 91.9525, loss: 0.2008 2023-03-04 08:40:59,772 - mmseg - INFO - Iter [153350/160000] lr: 1.172e-06, eta: 0:30:46, time: 0.278, data_time: 0.055, memory: 67409, decode.loss_ce: 0.1918, decode.acc_seg: 92.1729, loss: 0.1918 2023-03-04 08:41:11,316 - mmseg - INFO - Iter [153400/160000] lr: 1.172e-06, eta: 0:30:32, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2029, decode.acc_seg: 91.9252, loss: 0.2029 2023-03-04 08:41:22,860 - mmseg - INFO - Iter [153450/160000] lr: 1.172e-06, eta: 0:30:18, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2061, decode.acc_seg: 91.8695, loss: 0.2061 2023-03-04 08:41:34,632 - mmseg - INFO - Iter [153500/160000] lr: 1.172e-06, eta: 0:30:04, time: 0.235, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1890, decode.acc_seg: 92.3184, loss: 0.1890 2023-03-04 08:41:46,205 - mmseg - INFO - Iter [153550/160000] lr: 1.172e-06, eta: 0:29:50, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1946, decode.acc_seg: 92.3154, loss: 0.1946 2023-03-04 08:41:57,856 - mmseg - INFO - Iter [153600/160000] lr: 1.172e-06, eta: 0:29:36, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2001, decode.acc_seg: 91.9327, loss: 0.2001 2023-03-04 08:42:09,367 - mmseg - INFO - Iter [153650/160000] lr: 1.172e-06, eta: 0:29:22, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2106, decode.acc_seg: 91.5622, loss: 0.2106 2023-03-04 08:42:20,924 - mmseg - INFO - Iter [153700/160000] lr: 1.172e-06, eta: 0:29:08, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1958, decode.acc_seg: 92.0618, loss: 0.1958 2023-03-04 08:42:32,713 - mmseg - INFO - Iter [153750/160000] lr: 1.172e-06, eta: 0:28:54, time: 0.236, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1952, decode.acc_seg: 92.1221, loss: 0.1952 2023-03-04 08:42:44,180 - mmseg - INFO - Iter [153800/160000] lr: 1.172e-06, eta: 0:28:40, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1942, decode.acc_seg: 91.9722, loss: 0.1942 2023-03-04 08:42:55,765 - mmseg - INFO - Iter [153850/160000] lr: 1.172e-06, eta: 0:28:26, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2002, decode.acc_seg: 92.0487, loss: 0.2002 2023-03-04 08:43:07,246 - mmseg - INFO - Iter [153900/160000] lr: 1.172e-06, eta: 0:28:12, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1903, decode.acc_seg: 92.3334, loss: 0.1903 2023-03-04 08:43:18,918 - mmseg - INFO - Iter [153950/160000] lr: 1.172e-06, eta: 0:27:58, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1925, decode.acc_seg: 92.1812, loss: 0.1925 2023-03-04 08:43:32,959 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 08:43:32,959 - mmseg - INFO - Iter [154000/160000] lr: 1.172e-06, eta: 0:27:44, time: 0.281, data_time: 0.054, memory: 67409, decode.loss_ce: 0.1992, decode.acc_seg: 92.0780, loss: 0.1992 2023-03-04 08:43:44,532 - mmseg - INFO - Iter [154050/160000] lr: 1.172e-06, eta: 0:27:30, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1995, decode.acc_seg: 91.8764, loss: 0.1995 2023-03-04 08:43:56,297 - mmseg - INFO - Iter [154100/160000] lr: 1.172e-06, eta: 0:27:16, time: 0.235, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1983, decode.acc_seg: 92.1440, loss: 0.1983 2023-03-04 08:44:07,974 - mmseg - INFO - Iter [154150/160000] lr: 1.172e-06, eta: 0:27:03, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1942, decode.acc_seg: 92.2006, loss: 0.1942 2023-03-04 08:44:19,498 - mmseg - INFO - Iter [154200/160000] lr: 1.172e-06, eta: 0:26:49, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1977, decode.acc_seg: 92.1084, loss: 0.1977 2023-03-04 08:44:31,142 - mmseg - INFO - Iter [154250/160000] lr: 1.172e-06, eta: 0:26:35, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1943, decode.acc_seg: 92.1381, loss: 0.1943 2023-03-04 08:44:42,600 - mmseg - INFO - Iter [154300/160000] lr: 1.172e-06, eta: 0:26:21, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1924, decode.acc_seg: 92.2799, loss: 0.1924 2023-03-04 08:44:54,337 - mmseg - INFO - Iter [154350/160000] lr: 1.172e-06, eta: 0:26:07, time: 0.235, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1955, decode.acc_seg: 92.2068, loss: 0.1955 2023-03-04 08:45:05,933 - mmseg - INFO - Iter [154400/160000] lr: 1.172e-06, eta: 0:25:53, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1987, decode.acc_seg: 92.0580, loss: 0.1987 2023-03-04 08:45:17,656 - mmseg - INFO - Iter [154450/160000] lr: 1.172e-06, eta: 0:25:39, time: 0.235, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2003, decode.acc_seg: 91.9456, loss: 0.2003 2023-03-04 08:45:29,193 - mmseg - INFO - Iter [154500/160000] lr: 1.172e-06, eta: 0:25:25, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1960, decode.acc_seg: 91.9953, loss: 0.1960 2023-03-04 08:45:40,764 - mmseg - INFO - Iter [154550/160000] lr: 1.172e-06, eta: 0:25:11, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1974, decode.acc_seg: 92.1341, loss: 0.1974 2023-03-04 08:45:55,005 - mmseg - INFO - Iter [154600/160000] lr: 1.172e-06, eta: 0:24:57, time: 0.285, data_time: 0.055, memory: 67409, decode.loss_ce: 0.1980, decode.acc_seg: 92.0472, loss: 0.1980 2023-03-04 08:46:06,588 - mmseg - INFO - Iter [154650/160000] lr: 1.172e-06, eta: 0:24:43, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2054, decode.acc_seg: 91.8262, loss: 0.2054 2023-03-04 08:46:18,099 - mmseg - INFO - Iter [154700/160000] lr: 1.172e-06, eta: 0:24:29, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1954, decode.acc_seg: 92.2220, loss: 0.1954 2023-03-04 08:46:29,741 - mmseg - INFO - Iter [154750/160000] lr: 1.172e-06, eta: 0:24:15, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1939, decode.acc_seg: 92.1912, loss: 0.1939 2023-03-04 08:46:41,265 - mmseg - INFO - Iter [154800/160000] lr: 1.172e-06, eta: 0:24:01, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1866, decode.acc_seg: 92.6947, loss: 0.1866 2023-03-04 08:46:52,969 - mmseg - INFO - Iter [154850/160000] lr: 1.172e-06, eta: 0:23:47, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1959, decode.acc_seg: 92.1665, loss: 0.1959 2023-03-04 08:47:04,539 - mmseg - INFO - Iter [154900/160000] lr: 1.172e-06, eta: 0:23:33, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1994, decode.acc_seg: 91.9917, loss: 0.1994 2023-03-04 08:47:16,198 - mmseg - INFO - Iter [154950/160000] lr: 1.172e-06, eta: 0:23:19, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1894, decode.acc_seg: 92.3356, loss: 0.1894 2023-03-04 08:47:28,018 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 08:47:28,018 - mmseg - INFO - Iter [155000/160000] lr: 1.172e-06, eta: 0:23:06, time: 0.236, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1981, decode.acc_seg: 92.0450, loss: 0.1981 2023-03-04 08:47:39,595 - mmseg - INFO - Iter [155050/160000] lr: 1.172e-06, eta: 0:22:52, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1928, decode.acc_seg: 92.2182, loss: 0.1928 2023-03-04 08:47:51,211 - mmseg - INFO - Iter [155100/160000] lr: 1.172e-06, eta: 0:22:38, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1955, decode.acc_seg: 91.9406, loss: 0.1955 2023-03-04 08:48:02,740 - mmseg - INFO - Iter [155150/160000] lr: 1.172e-06, eta: 0:22:24, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1937, decode.acc_seg: 92.1958, loss: 0.1937 2023-03-04 08:48:14,255 - mmseg - INFO - Iter [155200/160000] lr: 1.172e-06, eta: 0:22:10, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1986, decode.acc_seg: 92.0382, loss: 0.1986 2023-03-04 08:48:28,432 - mmseg - INFO - Iter [155250/160000] lr: 1.172e-06, eta: 0:21:56, time: 0.284, data_time: 0.054, memory: 67409, decode.loss_ce: 0.1993, decode.acc_seg: 91.9630, loss: 0.1993 2023-03-04 08:48:40,067 - mmseg - INFO - Iter [155300/160000] lr: 1.172e-06, eta: 0:21:42, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1948, decode.acc_seg: 92.1101, loss: 0.1948 2023-03-04 08:48:51,691 - mmseg - INFO - Iter [155350/160000] lr: 1.172e-06, eta: 0:21:28, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1942, decode.acc_seg: 92.2006, loss: 0.1942 2023-03-04 08:49:03,294 - mmseg - INFO - Iter [155400/160000] lr: 1.172e-06, eta: 0:21:14, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1970, decode.acc_seg: 92.0659, loss: 0.1970 2023-03-04 08:49:14,943 - mmseg - INFO - Iter [155450/160000] lr: 1.172e-06, eta: 0:21:00, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2011, decode.acc_seg: 92.0045, loss: 0.2011 2023-03-04 08:49:26,448 - mmseg - INFO - Iter [155500/160000] lr: 1.172e-06, eta: 0:20:46, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1969, decode.acc_seg: 92.0941, loss: 0.1969 2023-03-04 08:49:37,898 - mmseg - INFO - Iter [155550/160000] lr: 1.172e-06, eta: 0:20:32, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2006, decode.acc_seg: 91.9103, loss: 0.2006 2023-03-04 08:49:49,563 - mmseg - INFO - Iter [155600/160000] lr: 1.172e-06, eta: 0:20:19, time: 0.234, data_time: 0.007, memory: 67409, decode.loss_ce: 0.2041, decode.acc_seg: 92.0272, loss: 0.2041 2023-03-04 08:50:01,036 - mmseg - INFO - Iter [155650/160000] lr: 1.172e-06, eta: 0:20:05, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1919, decode.acc_seg: 92.1006, loss: 0.1919 2023-03-04 08:50:12,501 - mmseg - INFO - Iter [155700/160000] lr: 1.172e-06, eta: 0:19:51, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1926, decode.acc_seg: 92.3391, loss: 0.1926 2023-03-04 08:50:23,943 - mmseg - INFO - Iter [155750/160000] lr: 1.172e-06, eta: 0:19:37, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2004, decode.acc_seg: 91.9879, loss: 0.2004 2023-03-04 08:50:35,642 - mmseg - INFO - Iter [155800/160000] lr: 1.172e-06, eta: 0:19:23, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1896, decode.acc_seg: 92.1958, loss: 0.1896 2023-03-04 08:50:47,172 - mmseg - INFO - Iter [155850/160000] lr: 1.172e-06, eta: 0:19:09, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1930, decode.acc_seg: 92.1806, loss: 0.1930 2023-03-04 08:51:01,220 - mmseg - INFO - Iter [155900/160000] lr: 1.172e-06, eta: 0:18:55, time: 0.281, data_time: 0.053, memory: 67409, decode.loss_ce: 0.1883, decode.acc_seg: 92.1061, loss: 0.1883 2023-03-04 08:51:12,940 - mmseg - INFO - Iter [155950/160000] lr: 1.172e-06, eta: 0:18:41, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1887, decode.acc_seg: 92.3198, loss: 0.1887 2023-03-04 08:51:24,413 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 08:51:24,413 - mmseg - INFO - Iter [156000/160000] lr: 1.172e-06, eta: 0:18:27, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1983, decode.acc_seg: 92.0591, loss: 0.1983 2023-03-04 08:51:36,124 - mmseg - INFO - Iter [156050/160000] lr: 1.172e-06, eta: 0:18:13, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1970, decode.acc_seg: 92.0831, loss: 0.1970 2023-03-04 08:51:47,761 - mmseg - INFO - Iter [156100/160000] lr: 1.172e-06, eta: 0:17:59, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1946, decode.acc_seg: 92.2208, loss: 0.1946 2023-03-04 08:51:59,331 - mmseg - INFO - Iter [156150/160000] lr: 1.172e-06, eta: 0:17:46, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2011, decode.acc_seg: 91.9407, loss: 0.2011 2023-03-04 08:52:10,867 - mmseg - INFO - Iter [156200/160000] lr: 1.172e-06, eta: 0:17:32, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1914, decode.acc_seg: 92.3879, loss: 0.1914 2023-03-04 08:52:22,403 - mmseg - INFO - Iter [156250/160000] lr: 1.172e-06, eta: 0:17:18, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1933, decode.acc_seg: 92.1180, loss: 0.1933 2023-03-04 08:52:33,868 - mmseg - INFO - Iter [156300/160000] lr: 1.172e-06, eta: 0:17:04, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1877, decode.acc_seg: 92.3753, loss: 0.1877 2023-03-04 08:52:45,373 - mmseg - INFO - Iter [156350/160000] lr: 1.172e-06, eta: 0:16:50, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2003, decode.acc_seg: 92.0512, loss: 0.2003 2023-03-04 08:52:57,182 - mmseg - INFO - Iter [156400/160000] lr: 1.172e-06, eta: 0:16:36, time: 0.236, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2005, decode.acc_seg: 91.8345, loss: 0.2005 2023-03-04 08:53:08,710 - mmseg - INFO - Iter [156450/160000] lr: 1.172e-06, eta: 0:16:22, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1978, decode.acc_seg: 92.1068, loss: 0.1978 2023-03-04 08:53:22,645 - mmseg - INFO - Iter [156500/160000] lr: 1.172e-06, eta: 0:16:08, time: 0.279, data_time: 0.054, memory: 67409, decode.loss_ce: 0.2047, decode.acc_seg: 91.8245, loss: 0.2047 2023-03-04 08:53:34,232 - mmseg - INFO - Iter [156550/160000] lr: 1.172e-06, eta: 0:15:54, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1916, decode.acc_seg: 92.3046, loss: 0.1916 2023-03-04 08:53:45,694 - mmseg - INFO - Iter [156600/160000] lr: 1.172e-06, eta: 0:15:41, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1909, decode.acc_seg: 92.2516, loss: 0.1909 2023-03-04 08:53:57,233 - mmseg - INFO - Iter [156650/160000] lr: 1.172e-06, eta: 0:15:27, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1921, decode.acc_seg: 92.3194, loss: 0.1921 2023-03-04 08:54:08,771 - mmseg - INFO - Iter [156700/160000] lr: 1.172e-06, eta: 0:15:13, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1984, decode.acc_seg: 92.1509, loss: 0.1984 2023-03-04 08:54:20,300 - mmseg - INFO - Iter [156750/160000] lr: 1.172e-06, eta: 0:14:59, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1951, decode.acc_seg: 92.1391, loss: 0.1951 2023-03-04 08:54:31,943 - mmseg - INFO - Iter [156800/160000] lr: 1.172e-06, eta: 0:14:45, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1946, decode.acc_seg: 92.2196, loss: 0.1946 2023-03-04 08:54:43,469 - mmseg - INFO - Iter [156850/160000] lr: 1.172e-06, eta: 0:14:31, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1960, decode.acc_seg: 92.1621, loss: 0.1960 2023-03-04 08:54:55,008 - mmseg - INFO - Iter [156900/160000] lr: 1.172e-06, eta: 0:14:17, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2028, decode.acc_seg: 91.9406, loss: 0.2028 2023-03-04 08:55:06,636 - mmseg - INFO - Iter [156950/160000] lr: 1.172e-06, eta: 0:14:03, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1933, decode.acc_seg: 92.3054, loss: 0.1933 2023-03-04 08:55:18,376 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 08:55:18,376 - mmseg - INFO - Iter [157000/160000] lr: 1.172e-06, eta: 0:13:50, time: 0.235, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1973, decode.acc_seg: 92.0791, loss: 0.1973 2023-03-04 08:55:29,966 - mmseg - INFO - Iter [157050/160000] lr: 1.172e-06, eta: 0:13:36, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1950, decode.acc_seg: 92.0937, loss: 0.1950 2023-03-04 08:55:41,417 - mmseg - INFO - Iter [157100/160000] lr: 1.172e-06, eta: 0:13:22, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1940, decode.acc_seg: 92.2395, loss: 0.1940 2023-03-04 08:55:55,389 - mmseg - INFO - Iter [157150/160000] lr: 1.172e-06, eta: 0:13:08, time: 0.279, data_time: 0.052, memory: 67409, decode.loss_ce: 0.1978, decode.acc_seg: 92.0717, loss: 0.1978 2023-03-04 08:56:07,185 - mmseg - INFO - Iter [157200/160000] lr: 1.172e-06, eta: 0:12:54, time: 0.236, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1915, decode.acc_seg: 92.2257, loss: 0.1915 2023-03-04 08:56:18,736 - mmseg - INFO - Iter [157250/160000] lr: 1.172e-06, eta: 0:12:40, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1945, decode.acc_seg: 92.2154, loss: 0.1945 2023-03-04 08:56:30,243 - mmseg - INFO - Iter [157300/160000] lr: 1.172e-06, eta: 0:12:26, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1999, decode.acc_seg: 91.8797, loss: 0.1999 2023-03-04 08:56:41,897 - mmseg - INFO - Iter [157350/160000] lr: 1.172e-06, eta: 0:12:12, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1907, decode.acc_seg: 92.4279, loss: 0.1907 2023-03-04 08:56:53,580 - mmseg - INFO - Iter [157400/160000] lr: 1.172e-06, eta: 0:11:59, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1983, decode.acc_seg: 92.0208, loss: 0.1983 2023-03-04 08:57:05,033 - mmseg - INFO - Iter [157450/160000] lr: 1.172e-06, eta: 0:11:45, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1936, decode.acc_seg: 92.2266, loss: 0.1936 2023-03-04 08:57:16,695 - mmseg - INFO - Iter [157500/160000] lr: 1.172e-06, eta: 0:11:31, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2049, decode.acc_seg: 91.8189, loss: 0.2049 2023-03-04 08:57:28,198 - mmseg - INFO - Iter [157550/160000] lr: 1.172e-06, eta: 0:11:17, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1884, decode.acc_seg: 92.2044, loss: 0.1884 2023-03-04 08:57:39,815 - mmseg - INFO - Iter [157600/160000] lr: 1.172e-06, eta: 0:11:03, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2051, decode.acc_seg: 91.7855, loss: 0.2051 2023-03-04 08:57:51,328 - mmseg - INFO - Iter [157650/160000] lr: 1.172e-06, eta: 0:10:49, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1955, decode.acc_seg: 92.2035, loss: 0.1955 2023-03-04 08:58:02,916 - mmseg - INFO - Iter [157700/160000] lr: 1.172e-06, eta: 0:10:35, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1915, decode.acc_seg: 92.3276, loss: 0.1915 2023-03-04 08:58:14,421 - mmseg - INFO - Iter [157750/160000] lr: 1.172e-06, eta: 0:10:22, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1993, decode.acc_seg: 91.9668, loss: 0.1993 2023-03-04 08:58:28,449 - mmseg - INFO - Iter [157800/160000] lr: 1.172e-06, eta: 0:10:08, time: 0.281, data_time: 0.052, memory: 67409, decode.loss_ce: 0.1951, decode.acc_seg: 92.0209, loss: 0.1951 2023-03-04 08:58:39,897 - mmseg - INFO - Iter [157850/160000] lr: 1.172e-06, eta: 0:09:54, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1897, decode.acc_seg: 92.2754, loss: 0.1897 2023-03-04 08:58:51,475 - mmseg - INFO - Iter [157900/160000] lr: 1.172e-06, eta: 0:09:40, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1993, decode.acc_seg: 92.0655, loss: 0.1993 2023-03-04 08:59:03,046 - mmseg - INFO - Iter [157950/160000] lr: 1.172e-06, eta: 0:09:26, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1885, decode.acc_seg: 92.3760, loss: 0.1885 2023-03-04 08:59:14,480 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 08:59:14,480 - mmseg - INFO - Iter [158000/160000] lr: 1.172e-06, eta: 0:09:12, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1940, decode.acc_seg: 92.1883, loss: 0.1940 2023-03-04 08:59:26,068 - mmseg - INFO - Iter [158050/160000] lr: 1.172e-06, eta: 0:08:58, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2037, decode.acc_seg: 91.7916, loss: 0.2037 2023-03-04 08:59:37,828 - mmseg - INFO - Iter [158100/160000] lr: 1.172e-06, eta: 0:08:45, time: 0.235, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1970, decode.acc_seg: 92.0430, loss: 0.1970 2023-03-04 08:59:49,338 - mmseg - INFO - Iter [158150/160000] lr: 1.172e-06, eta: 0:08:31, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2063, decode.acc_seg: 91.8070, loss: 0.2063 2023-03-04 09:00:00,793 - mmseg - INFO - Iter [158200/160000] lr: 1.172e-06, eta: 0:08:17, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1953, decode.acc_seg: 92.2150, loss: 0.1953 2023-03-04 09:00:12,444 - mmseg - INFO - Iter [158250/160000] lr: 1.172e-06, eta: 0:08:03, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2009, decode.acc_seg: 91.8323, loss: 0.2009 2023-03-04 09:00:23,958 - mmseg - INFO - Iter [158300/160000] lr: 1.172e-06, eta: 0:07:49, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1982, decode.acc_seg: 92.0788, loss: 0.1982 2023-03-04 09:00:35,445 - mmseg - INFO - Iter [158350/160000] lr: 1.172e-06, eta: 0:07:35, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1992, decode.acc_seg: 91.9710, loss: 0.1992 2023-03-04 09:00:49,593 - mmseg - INFO - Iter [158400/160000] lr: 1.172e-06, eta: 0:07:22, time: 0.283, data_time: 0.053, memory: 67409, decode.loss_ce: 0.1998, decode.acc_seg: 91.9707, loss: 0.1998 2023-03-04 09:01:01,204 - mmseg - INFO - Iter [158450/160000] lr: 1.172e-06, eta: 0:07:08, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2009, decode.acc_seg: 92.0016, loss: 0.2009 2023-03-04 09:01:12,735 - mmseg - INFO - Iter [158500/160000] lr: 1.172e-06, eta: 0:06:54, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1941, decode.acc_seg: 92.2771, loss: 0.1941 2023-03-04 09:01:24,353 - mmseg - INFO - Iter [158550/160000] lr: 1.172e-06, eta: 0:06:40, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1966, decode.acc_seg: 92.0855, loss: 0.1966 2023-03-04 09:01:35,872 - mmseg - INFO - Iter [158600/160000] lr: 1.172e-06, eta: 0:06:26, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1887, decode.acc_seg: 92.4798, loss: 0.1887 2023-03-04 09:01:47,656 - mmseg - INFO - Iter [158650/160000] lr: 1.172e-06, eta: 0:06:12, time: 0.235, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2000, decode.acc_seg: 91.9559, loss: 0.2000 2023-03-04 09:01:59,310 - mmseg - INFO - Iter [158700/160000] lr: 1.172e-06, eta: 0:05:59, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2013, decode.acc_seg: 91.9968, loss: 0.2013 2023-03-04 09:02:10,971 - mmseg - INFO - Iter [158750/160000] lr: 1.172e-06, eta: 0:05:45, time: 0.233, data_time: 0.007, memory: 67409, decode.loss_ce: 0.1974, decode.acc_seg: 91.9040, loss: 0.1974 2023-03-04 09:02:22,579 - mmseg - INFO - Iter [158800/160000] lr: 1.172e-06, eta: 0:05:31, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1845, decode.acc_seg: 92.5259, loss: 0.1845 2023-03-04 09:02:34,310 - mmseg - INFO - Iter [158850/160000] lr: 1.172e-06, eta: 0:05:17, time: 0.235, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1979, decode.acc_seg: 92.1539, loss: 0.1979 2023-03-04 09:02:45,950 - mmseg - INFO - Iter [158900/160000] lr: 1.172e-06, eta: 0:05:03, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2040, decode.acc_seg: 91.9246, loss: 0.2040 2023-03-04 09:02:57,353 - mmseg - INFO - Iter [158950/160000] lr: 1.172e-06, eta: 0:04:49, time: 0.228, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2027, decode.acc_seg: 91.9218, loss: 0.2027 2023-03-04 09:03:08,827 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 09:03:08,827 - mmseg - INFO - Iter [159000/160000] lr: 1.172e-06, eta: 0:04:36, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1874, decode.acc_seg: 92.3048, loss: 0.1874 2023-03-04 09:03:22,852 - mmseg - INFO - Iter [159050/160000] lr: 1.172e-06, eta: 0:04:22, time: 0.280, data_time: 0.054, memory: 67409, decode.loss_ce: 0.1873, decode.acc_seg: 92.4149, loss: 0.1873 2023-03-04 09:03:34,482 - mmseg - INFO - Iter [159100/160000] lr: 1.172e-06, eta: 0:04:08, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1996, decode.acc_seg: 91.9846, loss: 0.1996 2023-03-04 09:03:46,106 - mmseg - INFO - Iter [159150/160000] lr: 1.172e-06, eta: 0:03:54, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1950, decode.acc_seg: 92.2856, loss: 0.1950 2023-03-04 09:03:57,590 - mmseg - INFO - Iter [159200/160000] lr: 1.172e-06, eta: 0:03:40, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1979, decode.acc_seg: 92.1258, loss: 0.1979 2023-03-04 09:04:09,388 - mmseg - INFO - Iter [159250/160000] lr: 1.172e-06, eta: 0:03:27, time: 0.236, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1935, decode.acc_seg: 92.0976, loss: 0.1935 2023-03-04 09:04:20,902 - mmseg - INFO - Iter [159300/160000] lr: 1.172e-06, eta: 0:03:13, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2032, decode.acc_seg: 92.0643, loss: 0.2032 2023-03-04 09:04:32,530 - mmseg - INFO - Iter [159350/160000] lr: 1.172e-06, eta: 0:02:59, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1987, decode.acc_seg: 92.1886, loss: 0.1987 2023-03-04 09:04:44,243 - mmseg - INFO - Iter [159400/160000] lr: 1.172e-06, eta: 0:02:45, time: 0.235, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2004, decode.acc_seg: 91.8027, loss: 0.2004 2023-03-04 09:04:55,929 - mmseg - INFO - Iter [159450/160000] lr: 1.172e-06, eta: 0:02:31, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1958, decode.acc_seg: 92.0601, loss: 0.1958 2023-03-04 09:05:07,654 - mmseg - INFO - Iter [159500/160000] lr: 1.172e-06, eta: 0:02:18, time: 0.234, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1975, decode.acc_seg: 91.9996, loss: 0.1975 2023-03-04 09:05:19,232 - mmseg - INFO - Iter [159550/160000] lr: 1.172e-06, eta: 0:02:04, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1930, decode.acc_seg: 92.2154, loss: 0.1930 2023-03-04 09:05:30,869 - mmseg - INFO - Iter [159600/160000] lr: 1.172e-06, eta: 0:01:50, time: 0.233, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1927, decode.acc_seg: 92.2218, loss: 0.1927 2023-03-04 09:05:45,045 - mmseg - INFO - Iter [159650/160000] lr: 1.172e-06, eta: 0:01:36, time: 0.283, data_time: 0.054, memory: 67409, decode.loss_ce: 0.1949, decode.acc_seg: 91.9991, loss: 0.1949 2023-03-04 09:05:56,604 - mmseg - INFO - Iter [159700/160000] lr: 1.172e-06, eta: 0:01:22, time: 0.231, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1949, decode.acc_seg: 92.1310, loss: 0.1949 2023-03-04 09:06:08,229 - mmseg - INFO - Iter [159750/160000] lr: 1.172e-06, eta: 0:01:08, time: 0.232, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2017, decode.acc_seg: 92.0224, loss: 0.2017 2023-03-04 09:06:19,698 - mmseg - INFO - Iter [159800/160000] lr: 1.172e-06, eta: 0:00:55, time: 0.229, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1935, decode.acc_seg: 92.1893, loss: 0.1935 2023-03-04 09:06:31,190 - mmseg - INFO - Iter [159850/160000] lr: 1.172e-06, eta: 0:00:41, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1986, decode.acc_seg: 92.0168, loss: 0.1986 2023-03-04 09:06:42,667 - mmseg - INFO - Iter [159900/160000] lr: 1.172e-06, eta: 0:00:27, time: 0.230, data_time: 0.006, memory: 67409, decode.loss_ce: 0.2048, decode.acc_seg: 91.9845, loss: 0.2048 2023-03-04 09:06:54,394 - mmseg - INFO - Iter [159950/160000] lr: 1.172e-06, eta: 0:00:13, time: 0.235, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1866, decode.acc_seg: 92.5121, loss: 0.1866 2023-03-04 09:07:06,100 - mmseg - INFO - Swap parameters (after train) after iter [160000] 2023-03-04 09:07:06,115 - mmseg - INFO - Saving checkpoint at 160000 iterations 2023-03-04 09:07:07,691 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 09:07:07,691 - mmseg - INFO - Iter [160000/160000] lr: 1.172e-06, eta: 0:00:00, time: 0.266, data_time: 0.006, memory: 67409, decode.loss_ce: 0.1910, decode.acc_seg: 92.4172, loss: 0.1910 2023-03-04 09:18:04,483 - mmseg - INFO - per class results: 2023-03-04 09:18:04,492 - mmseg - INFO - +---------------------+-------------------------------------------------------------------+ | Class | IoU 0,10,20,30,40,50,60,70,80,90,99 | +---------------------+-------------------------------------------------------------------+ | background | nan,nan,nan,nan,nan,nan,nan,nan,nan,nan,nan | | wall | 76.2,76.23,76.23,76.27,76.26,76.27,76.29,76.31,76.33,76.35,76.31 | | building | 82.54,82.56,82.56,82.59,82.59,82.59,82.62,82.61,82.63,82.63,82.62 | | sky | 94.15,94.16,94.16,94.16,94.17,94.17,94.17,94.17,94.18,94.18,94.19 | | floor | 78.88,78.9,78.94,78.97,78.97,78.97,78.99,79.0,79.01,79.02,79.05 | | tree | 73.33,73.37,73.38,73.4,73.46,73.43,73.46,73.47,73.48,73.5,73.52 | | ceiling | 82.71,82.73,82.76,82.74,82.76,82.75,82.75,82.76,82.76,82.77,82.72 | | road | 80.88,80.87,80.87,80.88,80.92,80.95,80.97,80.95,80.99,80.99,81.0 | | bed | 88.01,88.05,88.05,88.07,88.08,88.08,88.1,88.1,88.11,88.13,88.19 | | windowpane | 59.75,59.69,59.75,59.74,59.75,59.77,59.81,59.84,59.81,59.83,59.91 | | grass | 64.88,64.82,64.89,64.94,65.02,65.07,65.1,65.22,65.47,65.54,65.58 | | cabinet | 59.19,59.01,59.14,58.81,58.98,58.85,58.87,59.04,59.05,59.0,58.71 | | sidewalk | 64.66,64.61,64.65,64.61,64.68,64.72,64.76,64.75,64.78,64.78,64.75 | | person | 78.58,78.6,78.61,78.59,78.58,78.61,78.61,78.61,78.61,78.61,78.56 | | earth | 31.46,31.29,31.25,31.19,31.05,31.09,30.98,30.87,30.83,30.75,30.63 | | door | 46.38,46.41,46.48,46.59,46.6,46.66,46.71,46.75,46.81,46.91,47.04 | | table | 60.58,60.67,60.67,60.6,60.6,60.62,60.69,60.71,60.71,60.76,60.72 | | mountain | 52.17,52.16,52.08,52.17,52.08,52.1,52.08,52.03,52.07,52.04,52.19 | | plant | 51.65,51.77,51.76,51.73,51.88,51.83,51.82,51.89,51.94,51.88,51.92 | | curtain | 72.25,72.29,72.35,72.32,72.38,72.36,72.36,72.36,72.38,72.41,72.33 | | chair | 55.83,55.78,55.79,55.8,55.77,55.76,55.77,55.75,55.75,55.74,55.73 | | car | 81.78,81.78,81.78,81.72,81.78,81.75,81.75,81.72,81.69,81.68,81.62 | | water | 45.13,45.17,45.1,45.16,45.21,45.15,45.19,45.14,45.16,45.17,45.24 | | painting | 70.89,70.9,70.95,71.02,71.07,71.09,71.15,71.22,71.29,71.33,71.41 | | sofa | 64.77,64.76,64.83,64.94,64.93,65.01,65.13,65.19,65.18,65.23,65.08 | | shelf | 40.55,40.58,40.66,40.67,40.84,40.8,40.79,40.76,40.72,40.68,40.53 | | house | 45.75,45.93,46.02,46.09,46.14,46.22,46.31,46.3,46.41,46.41,46.35 | | sea | 43.19,43.21,43.18,43.18,43.28,43.28,43.2,43.13,43.1,43.15,43.21 | | mirror | 63.67,63.73,63.73,63.76,63.79,63.88,63.9,63.88,63.84,63.78,63.77 | | rug | 55.64,55.66,55.88,56.11,55.98,56.09,56.08,56.07,56.1,56.03,56.24 | | field | 23.07,23.02,23.07,23.01,23.06,23.06,23.01,23.04,23.05,23.06,23.09 | | armchair | 44.41,44.37,44.51,44.5,44.53,44.72,44.84,44.85,44.81,44.83,44.63 | | seat | 58.24,58.19,58.22,58.28,58.11,58.17,58.17,58.15,58.19,58.1,58.12 | | fence | 35.71,35.81,35.95,35.96,36.05,36.17,36.11,36.18,36.2,36.2,36.26 | | desk | 49.1,49.0,48.99,49.0,48.86,48.84,48.77,48.86,48.89,48.84,48.78 | | rock | 30.09,30.19,30.03,30.26,30.36,30.34,30.36,30.31,30.5,30.44,30.63 | | wardrobe | 44.31,43.73,43.97,43.26,43.63,43.28,43.6,43.94,44.32,44.33,43.47 | | lamp | 63.37,63.4,63.39,63.44,63.43,63.44,63.43,63.47,63.48,63.47,63.46 | | bathtub | 76.88,77.2,77.4,77.37,77.71,77.75,77.73,77.68,77.73,77.81,77.85 | | railing | 28.9,28.9,28.93,28.99,28.92,29.0,29.08,28.97,29.06,29.12,29.05 | | cushion | 54.51,54.5,54.67,54.59,54.58,54.64,54.66,54.74,54.68,54.67,54.83 | | base | 21.45,21.59,21.69,21.73,21.91,21.88,21.84,21.87,21.95,22.05,22.06 | | box | 22.7,22.73,22.72,22.77,22.83,22.85,22.82,22.85,22.91,22.96,22.92 | | column | 45.54,45.62,45.66,45.79,45.96,45.8,46.03,46.01,46.02,46.04,45.67 | | signboard | 36.31,36.29,36.4,36.42,36.46,36.52,36.58,36.69,36.75,36.76,36.75 | | chest of drawers | 37.28,37.24,37.34,37.01,37.1,37.49,37.02,37.12,37.22,37.14,36.22 | | counter | 25.14,25.08,24.87,24.82,24.47,24.45,24.15,24.07,24.1,23.96,23.81 | | sand | 31.42,31.26,31.19,30.88,30.85,30.8,30.51,30.26,30.05,29.92,29.83 | | sink | 68.73,68.77,68.94,68.93,69.03,69.05,69.13,69.14,69.12,69.2,69.2 | | skyscraper | 59.92,59.72,59.45,60.03,59.81,59.93,60.22,60.02,60.13,60.23,60.13 | | fireplace | 70.89,70.74,70.7,70.75,70.67,70.56,70.52,70.44,70.5,70.51,70.49 | | refrigerator | 71.34,71.24,71.3,71.42,71.3,71.27,71.31,71.37,71.55,71.48,70.87 | | grandstand | 39.74,39.68,39.7,39.51,39.4,39.29,39.39,39.23,39.21,39.07,39.14 | | path | 16.8,16.82,16.98,17.03,17.18,17.27,17.37,17.38,17.38,17.35,17.67 | | stairs | 30.52,30.43,30.42,30.43,30.53,30.49,30.55,30.56,30.57,30.53,30.41 | | runway | 60.21,60.23,60.36,60.46,60.54,60.64,60.74,60.83,60.92,61.07,61.15 | | case | 45.12,45.07,45.05,44.86,44.79,44.75,44.47,44.47,44.47,44.36,44.18 | | pool table | 91.8,91.79,91.8,91.83,91.81,91.77,91.77,91.79,91.84,91.83,91.71 | | pillow | 55.59,55.77,55.78,55.77,55.56,55.71,55.78,55.65,55.73,55.63,55.8 | | screen door | 67.26,67.46,67.69,68.34,68.7,68.77,68.84,68.91,69.14,69.16,68.88 | | stairway | 31.65,31.66,31.56,31.55,31.55,31.5,31.4,31.33,31.32,31.2,31.2 | | river | 12.15,12.15,12.13,12.13,12.15,12.15,12.13,12.13,12.11,12.12,12.13 | | bridge | 62.78,63.02,63.0,63.07,63.01,63.19,63.19,63.08,63.13,63.19,63.08 | | bookcase | 40.52,40.58,40.6,40.53,40.6,40.75,40.67,40.77,40.65,40.49,40.12 | | blind | 41.16,41.06,41.17,41.24,40.97,41.09,41.39,41.07,40.86,41.16,40.81 | | coffee table | 57.87,57.97,58.0,57.97,58.04,57.99,58.07,58.06,58.19,58.25,58.16 | | toilet | 86.14,86.16,86.1,86.12,86.12,86.15,86.07,86.08,86.08,86.11,86.03 | | flower | 34.17,34.11,34.04,34.17,34.09,34.17,34.05,34.06,34.05,34.02,34.16 | | book | 46.4,46.51,46.49,46.58,46.71,46.77,46.78,46.84,46.79,46.82,47.01 | | hill | 4.15,4.2,4.18,4.2,4.12,4.18,4.19,4.22,4.32,4.4,4.54 | | bench | 37.7,37.73,37.82,38.09,38.01,37.99,38.09,38.15,38.3,38.33,38.38 | | countertop | 57.05,57.13,57.15,57.21,57.28,56.85,56.88,56.89,56.92,57.07,57.3 | | stove | 72.6,72.51,72.59,72.77,72.82,72.85,72.7,72.59,72.56,72.45,72.67 | | palm | 50.93,50.94,51.02,51.01,51.0,50.96,50.94,50.97,50.94,50.94,51.09 | | kitchen island | 47.92,48.01,47.82,47.69,47.42,47.41,47.34,47.36,47.13,47.07,46.87 | | computer | 55.88,55.85,55.87,55.87,55.9,55.8,55.77,55.75,55.79,55.76,55.65 | | swivel chair | 44.45,44.42,44.45,44.42,44.48,44.44,44.35,44.45,44.36,44.44,44.62 | | boat | 46.94,46.94,46.97,46.9,46.77,46.85,46.78,46.8,46.75,46.91,47.04 | | bar | 23.79,23.81,23.76,23.81,23.83,23.85,23.88,23.92,23.96,23.97,24.03 | | arcade machine | 24.35,25.37,24.4,24.61,24.37,24.18,24.38,24.66,24.25,24.32,25.01 | | hovel | 37.17,37.39,37.41,37.43,37.5,37.39,37.59,37.59,37.59,37.68,37.3 | | bus | 79.18,79.13,79.14,79.13,79.01,78.93,78.93,78.81,78.79,78.69,78.62 | | towel | 56.52,56.36,56.49,56.51,56.55,56.45,56.53,56.48,56.56,56.61,56.43 | | light | 54.82,54.7,54.66,54.68,54.55,54.52,54.44,54.36,54.3,54.22,54.16 | | truck | 33.63,33.75,33.81,33.86,34.02,34.12,34.18,34.18,34.16,34.24,34.17 | | tower | 31.11,31.12,30.92,31.27,31.08,30.99,30.92,30.98,30.93,30.96,30.61 | | chandelier | 68.28,68.3,68.4,68.44,68.42,68.46,68.52,68.49,68.5,68.48,68.56 | | awning | 23.85,23.9,24.0,23.95,23.93,24.05,24.09,24.13,24.07,24.08,24.23 | | streetlight | 26.77,26.72,26.78,26.85,26.87,26.94,26.89,26.95,26.98,27.03,26.98 | | booth | 41.16,40.89,41.18,41.22,41.12,41.25,41.15,41.54,41.75,41.82,42.15 | | television receiver | 67.48,67.47,67.32,67.4,67.38,67.34,67.12,67.25,67.1,67.07,67.3 | | airplane | 51.46,51.43,51.2,51.3,51.32,51.31,51.17,51.11,51.27,51.15,51.23 | | dirt track | 3.6,3.6,3.6,3.6,3.58,3.56,3.55,3.52,3.45,3.42,3.47 | | apparel | 28.16,28.2,28.23,28.39,28.49,28.38,28.47,28.51,28.58,28.59,28.55 | | pole | 23.86,23.8,23.77,23.74,23.76,23.74,23.67,23.63,23.59,23.63,23.59 | | land | 0.61,0.6,0.59,0.58,0.59,0.58,0.58,0.59,0.58,0.6,0.61 | | bannister | 9.85,9.84,10.04,10.1,10.1,10.26,10.28,10.36,10.47,10.56,10.55 | | escalator | 22.06,22.0,22.04,21.97,22.09,22.07,21.85,22.06,21.84,21.9,21.93 | | ottoman | 43.57,43.33,43.61,43.18,43.52,43.46,43.66,43.61,43.51,43.36,42.96 | | bottle | 12.3,12.28,12.36,12.33,12.41,12.35,12.35,12.38,12.48,12.53,12.41 | | buffet | 34.32,34.35,34.36,34.36,34.37,34.38,34.39,34.38,34.38,34.35,34.37 | | poster | 25.58,25.38,25.69,25.8,25.51,25.53,25.54,25.67,25.57,25.43,25.32 | | stage | 10.84,10.89,10.86,10.78,10.72,10.58,10.43,10.16,10.01,9.98,9.99 | | van | 42.89,42.82,43.13,43.14,42.8,42.94,43.3,43.04,43.09,42.99,42.88 | | ship | 70.76,70.87,71.2,71.32,71.55,71.45,71.79,72.06,72.16,72.23,72.2 | | fountain | 0.49,0.5,0.5,0.52,0.52,0.52,0.53,0.52,0.53,0.53,0.54 | | conveyer belt | 61.12,61.22,61.02,61.06,61.2,61.05,60.98,61.02,61.21,61.32,60.88 | | canopy | 16.35,16.44,16.5,16.59,16.69,16.64,16.67,16.72,16.74,16.78,16.83 | | washer | 64.26,64.23,64.13,64.08,64.1,64.04,64.01,63.97,63.9,63.88,64.0 | | plaything | 24.35,24.33,24.44,24.44,24.54,24.5,24.63,24.67,24.75,24.79,24.61 | | swimming pool | 28.17,28.22,28.41,28.42,28.5,28.55,28.69,28.67,28.79,28.79,28.81 | | stool | 42.56,42.66,42.53,42.7,42.69,42.72,42.8,42.91,42.98,43.06,42.75 | | barrel | 40.25,39.88,39.24,38.97,38.38,37.96,37.61,37.09,36.85,36.71,36.2 | | basket | 21.03,20.95,20.81,20.79,20.68,20.66,20.55,20.49,20.44,20.37,20.42 | | waterfall | 48.94,48.42,48.08,47.88,47.55,46.98,46.89,46.72,46.27,46.01,45.76 | | tent | 91.76,91.54,91.42,91.51,91.36,91.33,91.3,91.24,91.23,91.16,91.13 | | bag | 9.7,9.7,9.73,9.65,9.63,9.68,9.6,9.5,9.52,9.35,9.28 | | minibike | 51.23,51.43,51.2,51.1,51.31,51.21,50.97,50.72,51.12,50.87,50.19 | | cradle | 75.97,75.95,76.02,76.06,76.02,76.07,76.09,76.12,76.06,76.05,76.13 | | oven | 23.03,23.03,23.03,22.99,22.88,22.73,22.88,22.67,22.68,22.47,21.66 | | ball | 46.79,46.97,46.98,46.95,47.15,47.15,47.12,47.19,47.26,47.27,47.11 | | food | 48.17,48.04,47.88,47.72,47.58,47.56,47.35,47.19,47.14,46.95,46.8 | | step | 5.55,5.42,5.38,5.34,5.33,5.31,5.23,5.25,5.2,5.09,5.16 | | tank | 47.65,47.67,47.68,47.64,47.62,47.6,47.52,47.55,47.44,47.42,47.36 | | trade name | 20.02,20.01,19.92,20.03,20.07,20.08,20.17,20.11,20.38,20.37,20.06 | | microwave | 39.32,39.28,39.13,39.14,39.13,38.97,38.95,38.85,38.83,38.61,38.82 | | pot | 37.16,37.13,37.08,37.16,37.12,37.1,37.12,37.01,37.06,37.0,36.98 | | animal | 51.29,51.4,51.51,51.5,51.51,51.6,51.63,51.62,51.56,51.52,51.43 | | bicycle | 44.68,44.68,44.6,44.63,44.7,44.76,44.83,44.67,44.63,44.61,44.61 | | lake | 59.0,59.1,58.85,59.03,58.52,58.85,58.54,58.87,58.79,58.65,58.82 | | dishwasher | 73.18,72.53,72.61,72.21,72.48,72.42,72.07,72.67,72.62,72.71,72.14 | | screen | 55.98,55.9,55.37,55.59,55.44,55.19,55.03,55.02,55.08,55.11,54.87 | | blanket | 6.89,6.9,6.9,6.9,6.93,6.96,6.91,6.9,6.93,7.01,6.99 | | sculpture | 42.54,42.23,42.36,42.0,41.82,41.7,41.63,41.47,41.31,41.05,40.55 | | hood | 60.95,60.95,60.95,60.93,61.1,61.13,61.12,61.05,61.07,61.02,61.21 | | sconce | 42.19,42.23,42.24,42.26,42.31,42.45,42.41,42.41,42.35,42.39,42.58 | | vase | 32.53,32.64,32.58,32.6,32.7,32.66,32.79,32.78,32.79,32.83,32.89 | | traffic light | 28.7,28.51,28.58,28.43,28.46,28.39,28.29,28.19,28.11,28.04,28.2 | | tray | 5.55,5.64,5.72,5.8,5.9,5.91,6.01,6.1,6.1,6.21,6.05 | | ashcan | 42.45,42.51,42.58,42.76,42.57,42.79,42.74,42.86,43.09,43.08,43.1 | | fan | 57.32,57.34,57.25,57.12,57.22,57.1,57.17,57.27,57.07,57.17,57.1 | | pier | 19.86,20.05,19.97,19.79,19.65,19.58,19.62,19.6,19.32,19.38,19.28 | | crt screen | 6.07,6.07,6.24,6.32,6.25,6.43,6.57,6.62,6.67,6.87,6.95 | | plate | 41.35,41.55,41.59,41.87,41.77,41.79,41.94,42.03,42.06,42.23,42.07 | | monitor | 63.03,63.34,63.41,63.39,63.41,63.49,63.44,63.59,63.5,63.42,63.66 | | bulletin board | 37.7,37.93,38.25,39.21,39.73,40.12,40.19,40.16,40.05,40.17,40.64 | | shower | 0.99,0.98,0.93,0.91,0.93,0.94,0.9,0.91,0.88,0.91,0.86 | | radiator | 41.94,41.84,41.88,41.85,41.79,41.66,41.69,41.61,41.65,41.56,41.06 | | glass | 9.77,9.75,9.71,9.65,9.61,9.63,9.54,9.52,9.45,9.46,9.41 | | clock | 19.46,19.42,19.23,19.59,19.52,19.38,19.38,19.08,19.04,18.89,19.05 | | flag | 41.15,41.25,41.01,41.21,41.13,41.23,41.1,41.21,41.31,41.33,41.22 | +---------------------+-------------------------------------------------------------------+ 2023-03-04 09:18:04,492 - mmseg - INFO - Summary: 2023-03-04 09:18:04,492 - mmseg - INFO - +------------------------------------------------------------------+ | mIoU 0,10,20,30,40,50,60,70,80,90,99 | +------------------------------------------------------------------+ | 45.19,45.19,45.19,45.21,45.21,45.21,45.21,45.21,45.21,45.2,45.15 | +------------------------------------------------------------------+ 2023-03-04 09:18:04,492 - mmseg - INFO - Exp name: deeplabv3plus_r50-d8_aspp_head_unet_fc_multi_step_ade_pretrained_freeze_embed_160k_ade20k151_finetune.py 2023-03-04 09:18:04,492 - mmseg - INFO - Iter(val) [250] mIoU: [0.4519, 0.4519, 0.4519, 0.4521, 0.4521, 0.4521, 0.4521, 0.4521, 0.4521, 0.452, 0.4515], copy_paste: 45.19,45.19,45.19,45.21,45.21,45.21,45.21,45.21,45.21,45.2,45.15