2024/03/15 17:52:47 - patchstitcher - INFO - ------------------------------------------------------------ System environment: sys.platform: linux Python: 3.8.18 | packaged by conda-forge | (default, Oct 10 2023, 15:44:36) [GCC 12.3.0] CUDA available: True numpy_random_seed: 621 GPU 0,1,2,3: NVIDIA A100-SXM4-80GB CUDA_HOME: /sw/rl9g/cuda/11.8/rl9_binary NVCC: Cuda compilation tools, release 11.8, V11.8.89 GCC: gcc (GCC) 11.3.1 20220421 (Red Hat 11.3.1-2) PyTorch: 2.1.2 PyTorch compiling details: PyTorch built with: - GCC 9.3 - C++ Version: 201703 - Intel(R) oneAPI Math Kernel Library Version 2022.1-Product Build 20220311 for Intel(R) 64 architecture applications - Intel(R) MKL-DNN v3.1.1 (Git Hash 64f6bcbcbab628e96f33a62c3e975f8535a7bde4) - OpenMP 201511 (a.k.a. OpenMP 4.5) - LAPACK is enabled (usually provided by MKL) - NNPACK is enabled - CPU capability usage: AVX2 - CUDA Runtime 11.8 - NVCC architecture flags: -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=sm_37;-gencode;arch=compute_90,code=sm_90;-gencode;arch=compute_37,code=compute_37 - CuDNN 8.7 - Magma 2.6.1 - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.8, CUDNN_VERSION=8.7.0, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -D_GLIBCXX_USE_CXX11_ABI=0 -fabi-version=11 -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOROCTRACER -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=old-style-cast -Wno-invalid-partial-specialization -Wno-unused-private-field -Wno-aligned-allocation-unavailable -Wno-missing-braces -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_DISABLE_GPU_ASSERTS=ON, TORCH_VERSION=2.1.2, 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: 0.16.2 OpenCV: 4.8.1 MMEngine: 0.10.2 Runtime environment: cudnn_benchmark: True mp_cfg: {'mp_start_method': 'forkserver'} dist_cfg: {'backend': 'nccl'} seed: 621 Distributed launcher: pytorch Distributed training: True GPU number: 4 ------------------------------------------------------------ 2024/03/15 17:52:48 - patchstitcher - INFO - Config: collect_input_args = [ 'image_lr', 'crops_image_hr', 'depth_gt', 'crop_depths', 'bboxs', 'image_hr', ] convert_syncbn = True debug = False env_cfg = dict( cudnn_benchmark=True, dist_cfg=dict(backend='nccl'), mp_cfg=dict(mp_start_method='forkserver')) find_unused_parameters = True general_dataloader = dict( batch_size=1, dataset=dict( dataset_name='', gt_dir=None, rgb_image_dir='', type='ImageDataset'), num_workers=2) launcher = 'pytorch' log_name = 'patchfusion' max_depth = 80 min_depth = 0.001 model = dict( coarse_branch=dict( attractor_alpha=1000, attractor_gamma=2, attractor_kind='mean', attractor_type='inv', aug=True, bin_centers_type='softplus', bin_embedding_dim=128, clip_grad=0.1, dataset='nyu', depth_anything=True, distributed=True, do_resize=False, force_keep_ar=True, freeze_midas_bn=True, gpu='NULL', img_size=[ 392, 518, ], inverse_midas=False, log_images_every=0.1, max_depth=80, max_temp=50.0, max_translation=100, memory_efficient=True, midas_model_type='vitl', min_depth=0.001, min_temp=0.0212, model='zoedepth', n_attractors=[ 16, 8, 4, 1, ], n_bins=64, name='ZoeDepth', notes='', output_distribution='logbinomial', prefetch=False, pretrained_resource='local::./work_dir/DepthAnything_vitl.pt', print_losses=False, project='ZoeDepth', random_crop=False, random_translate=False, root='.', save_dir='', shared_dict='NULL', tags='', train_midas=True, translate_prob=0.2, type='DA-ZoeDepth', uid='NULL', use_amp=False, use_pretrained_midas=True, use_shared_dict=False, validate_every=0.25, version_name='v1', workers=16), fine_branch=dict( attractor_alpha=1000, attractor_gamma=2, attractor_kind='mean', attractor_type='inv', aug=True, bin_centers_type='softplus', bin_embedding_dim=128, clip_grad=0.1, dataset='nyu', depth_anything=True, distributed=True, do_resize=False, force_keep_ar=True, freeze_midas_bn=True, gpu='NULL', img_size=[ 392, 518, ], inverse_midas=False, log_images_every=0.1, max_depth=80, max_temp=50.0, max_translation=100, memory_efficient=True, midas_model_type='vitl', min_depth=0.001, min_temp=0.0212, model='zoedepth', n_attractors=[ 16, 8, 4, 1, ], n_bins=64, name='ZoeDepth', notes='', output_distribution='logbinomial', prefetch=False, pretrained_resource='local::./work_dir/DepthAnything_vitl.pt', print_losses=False, project='ZoeDepth', random_crop=False, random_translate=False, root='.', save_dir='', shared_dict='NULL', tags='', train_midas=True, translate_prob=0.2, type='DA-ZoeDepth', uid='NULL', use_amp=False, use_pretrained_midas=True, use_shared_dict=False, validate_every=0.25, version_name='v1', workers=16), guided_fusion=dict( g2l=True, in_channels=[ 32, 256, 256, 256, 256, 256, ], n_channels=5, num_patches=[ 203056, 66304, 16576, 4144, 1036, 266, ], patch_process_shape=( 392, 518, ), type='GuidedFusionPatchFusion'), max_depth=80, min_depth=0.001, patch_process_shape=( 392, 518, ), pretrain_model=[ './work_dir/depthanything_vitl_u4k/coarse_pretrain/checkpoint_24.pth', './work_dir/depthanything_vitl_u4k/fine_pretrain/checkpoint_24.pth', ], sigloss=dict(type='SILogLoss'), type='PatchFusion') optim_wrapper = dict( clip_grad=dict(max_norm=0.1, norm_type=2, type='norm'), optimizer=dict(lr=0.0001, type='AdamW', weight_decay=0.001), paramwise_cfg=dict(bypass_duplicate=True, custom_keys=dict())) param_scheduler = dict( base_momentum=0.85, cycle_momentum=True, div_factor=10, final_div_factor=10000, max_momentum=0.95, pct_start=0.25, three_phase=False) project = 'patchfusion' tags = [ 'patchfusion', 'da', 'vitl', ] test_in_dataloader = dict( batch_size=1, dataset=dict( data_root='./data/u4k', max_depth=80, min_depth=0.001, mode='infer', split='./data/u4k/splits/test.txt', transform_cfg=dict(network_process_size=[ 384, 512, ]), type='UnrealStereo4kDataset'), num_workers=2) test_out_dataloader = dict( batch_size=1, dataset=dict( data_root='./data/u4k', max_depth=80, min_depth=0.001, mode='infer', split='./data/u4k/splits/test_out.txt', transform_cfg=dict(network_process_size=[ 384, 512, ]), type='UnrealStereo4kDataset'), num_workers=2) train_cfg = dict( eval_start=0, log_interval=100, max_epochs=16, save_checkpoint_interval=16, train_log_img_interval=500, val_interval=2, val_log_img_interval=50, val_type='epoch_base') train_dataloader = dict( batch_size=4, dataset=dict( data_root='./data/u4k', max_depth=80, min_depth=0.001, mode='train', resize_mode='depth-anything', split='./data/u4k/splits/train.txt', transform_cfg=dict( degree=1.0, network_process_size=[ 392, 518, ], random_crop=True), type='UnrealStereo4kDataset'), num_workers=4) val_dataloader = dict( batch_size=1, dataset=dict( data_root='./data/u4k', max_depth=80, min_depth=0.001, mode='infer', resize_mode='depth-anything', split='./data/u4k/splits/val.txt', transform_cfg=dict(degree=1.0, network_process_size=[ 392, 518, ]), type='UnrealStereo4kDataset'), num_workers=2) work_dir = './work_dir/depthanything_vitl_u4k/patchfusion' zoe_depth_config = dict( attractor_alpha=1000, attractor_gamma=2, attractor_kind='mean', attractor_type='inv', aug=True, bin_centers_type='softplus', bin_embedding_dim=128, clip_grad=0.1, dataset='nyu', depth_anything=True, distributed=True, do_resize=False, force_keep_ar=True, freeze_midas_bn=True, gpu='NULL', img_size=[ 392, 518, ], inverse_midas=False, log_images_every=0.1, max_depth=80, max_temp=50.0, max_translation=100, memory_efficient=True, midas_model_type='vitl', min_depth=0.001, min_temp=0.0212, model='zoedepth', n_attractors=[ 16, 8, 4, 1, ], n_bins=64, name='ZoeDepth', notes='', output_distribution='logbinomial', prefetch=False, pretrained_resource='local::./work_dir/DepthAnything_vitl.pt', print_losses=False, project='ZoeDepth', random_crop=False, random_translate=False, root='.', save_dir='', shared_dict='NULL', tags='', train_midas=True, translate_prob=0.2, type='DA-ZoeDepth', uid='NULL', use_amp=False, use_pretrained_midas=True, use_shared_dict=False, validate_every=0.25, version_name='v1', workers=16) 2024/03/15 17:52:52 - patchstitcher - INFO - Loading deepnet from local::./work_dir/DepthAnything_vitl.pt 2024/03/15 17:52:52 - patchstitcher - INFO - Current zoedepth.core.prep.resizer is 2024/03/15 17:52:52 - patchstitcher - INFO - Loading coarse_branch from ./work_dir/depthanything_vitl_u4k/coarse_pretrain/checkpoint_24.pth 2024/03/15 17:52:53 - patchstitcher - INFO - 2024/03/15 17:52:57 - patchstitcher - INFO - Loading deepnet from local::./work_dir/DepthAnything_vitl.pt 2024/03/15 17:52:58 - patchstitcher - INFO - Current zoedepth.core.prep.resizer is 2024/03/15 17:52:58 - patchstitcher - INFO - Loading fine_branch from ./work_dir/depthanything_vitl_u4k/fine_pretrain/checkpoint_24.pth 2024/03/15 17:52:58 - patchstitcher - INFO - 2024/03/15 17:52:59 - patchstitcher - INFO - DistributedDataParallel( (module): PatchFusion( (coarse_branch): ZoeDepth( (core): DepthAnythingCore( (core): DPT_DINOv2( (pretrained): DinoVisionTransformer( (patch_embed): PatchEmbed( (proj): Conv2d(3, 1024, kernel_size=(14, 14), stride=(14, 14)) (norm): Identity() ) (blocks): ModuleList( (0-23): 24 x NestedTensorBlock( (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (attn): MemEffAttention( (qkv): Linear(in_features=1024, out_features=3072, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (ls1): LayerScale() (drop_path1): Identity() (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=1024, out_features=4096, bias=True) (act): GELU(approximate='none') (fc2): Linear(in_features=4096, out_features=1024, bias=True) (drop): Dropout(p=0.0, inplace=False) ) (ls2): LayerScale() (drop_path2): Identity() ) ) (norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (head): Identity() ) (depth_head): DPTHead( (projects): ModuleList( (0): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1)) (1): Conv2d(1024, 512, kernel_size=(1, 1), stride=(1, 1)) (2-3): 2 x Conv2d(1024, 1024, kernel_size=(1, 1), stride=(1, 1)) ) (resize_layers): ModuleList( (0): ConvTranspose2d(256, 256, kernel_size=(4, 4), stride=(4, 4)) (1): ConvTranspose2d(512, 512, kernel_size=(2, 2), stride=(2, 2)) (2): Identity() (3): Conv2d(1024, 1024, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1)) ) (scratch): Module( (layer1_rn): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (layer2_rn): Conv2d(512, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (layer3_rn): Conv2d(1024, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (layer4_rn): Conv2d(1024, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (refinenet1): FeatureFusionBlock( (out_conv): Conv2d(256, 256, kernel_size=(1, 1), stride=(1, 1)) (resConfUnit1): ResidualConvUnit( (conv1): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (activation): ReLU() (skip_add): FloatFunctional( (activation_post_process): Identity() ) ) (resConfUnit2): ResidualConvUnit( (conv1): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (activation): ReLU() (skip_add): FloatFunctional( (activation_post_process): Identity() ) ) (skip_add): FloatFunctional( (activation_post_process): Identity() ) ) (refinenet2): FeatureFusionBlock( (out_conv): Conv2d(256, 256, kernel_size=(1, 1), stride=(1, 1)) (resConfUnit1): ResidualConvUnit( (conv1): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (activation): ReLU() (skip_add): FloatFunctional( (activation_post_process): Identity() ) ) (resConfUnit2): ResidualConvUnit( (conv1): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (activation): ReLU() (skip_add): FloatFunctional( (activation_post_process): Identity() ) ) (skip_add): FloatFunctional( (activation_post_process): Identity() ) ) (refinenet3): FeatureFusionBlock( (out_conv): Conv2d(256, 256, kernel_size=(1, 1), stride=(1, 1)) (resConfUnit1): ResidualConvUnit( (conv1): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (activation): ReLU() (skip_add): FloatFunctional( (activation_post_process): Identity() ) ) (resConfUnit2): ResidualConvUnit( (conv1): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (activation): ReLU() (skip_add): FloatFunctional( (activation_post_process): Identity() ) ) (skip_add): FloatFunctional( (activation_post_process): Identity() ) ) (refinenet4): FeatureFusionBlock( (out_conv): Conv2d(256, 256, kernel_size=(1, 1), stride=(1, 1)) (resConfUnit1): ResidualConvUnit( (conv1): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (activation): ReLU() (skip_add): FloatFunctional( (activation_post_process): Identity() ) ) (resConfUnit2): ResidualConvUnit( (conv1): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (activation): ReLU() (skip_add): FloatFunctional( (activation_post_process): Identity() ) ) (skip_add): FloatFunctional( (activation_post_process): Identity() ) ) (output_conv1): Conv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (output_conv2): Sequential( (0): Conv2d(128, 32, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (1): ReLU(inplace=True) (2): Conv2d(32, 1, kernel_size=(1, 1), stride=(1, 1)) (3): ReLU(inplace=True) (4): Identity() ) ) ) ) ) (conv2): Conv2d(256, 256, kernel_size=(1, 1), stride=(1, 1)) (seed_bin_regressor): SeedBinRegressorUnnormed( (_net): Sequential( (0): Conv2d(256, 256, kernel_size=(1, 1), stride=(1, 1)) (1): ReLU(inplace=True) (2): Conv2d(256, 64, kernel_size=(1, 1), stride=(1, 1)) (3): Softplus(beta=1, threshold=20) ) ) (seed_projector): Projector( (_net): Sequential( (0): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (1): ReLU(inplace=True) (2): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) ) ) (projectors): ModuleList( (0-3): 4 x Projector( (_net): Sequential( (0): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (1): ReLU(inplace=True) (2): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) ) ) ) (attractors): ModuleList( (0): AttractorLayerUnnormed( (_net): Sequential( (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) (1): ReLU(inplace=True) (2): Conv2d(128, 16, kernel_size=(1, 1), stride=(1, 1)) (3): Softplus(beta=1, threshold=20) ) ) (1): AttractorLayerUnnormed( (_net): Sequential( (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) (1): ReLU(inplace=True) (2): Conv2d(128, 8, kernel_size=(1, 1), stride=(1, 1)) (3): Softplus(beta=1, threshold=20) ) ) (2): AttractorLayerUnnormed( (_net): Sequential( (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) (1): ReLU(inplace=True) (2): Conv2d(128, 4, kernel_size=(1, 1), stride=(1, 1)) (3): Softplus(beta=1, threshold=20) ) ) (3): AttractorLayerUnnormed( (_net): Sequential( (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) (1): ReLU(inplace=True) (2): Conv2d(128, 1, kernel_size=(1, 1), stride=(1, 1)) (3): Softplus(beta=1, threshold=20) ) ) ) (conditional_log_binomial): ConditionalLogBinomial( (log_binomial_transform): LogBinomial() (mlp): Sequential( (0): Conv2d(161, 80, kernel_size=(1, 1), stride=(1, 1)) (1): GELU(approximate='none') (2): Conv2d(80, 4, kernel_size=(1, 1), stride=(1, 1)) (3): Softplus(beta=1, threshold=20) ) ) ) (fine_branch): ZoeDepth( (core): DepthAnythingCore( (core): DPT_DINOv2( (pretrained): DinoVisionTransformer( (patch_embed): PatchEmbed( (proj): Conv2d(3, 1024, kernel_size=(14, 14), stride=(14, 14)) (norm): Identity() ) (blocks): ModuleList( (0-23): 24 x NestedTensorBlock( (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (attn): MemEffAttention( (qkv): Linear(in_features=1024, out_features=3072, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (ls1): LayerScale() (drop_path1): Identity() (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=1024, out_features=4096, bias=True) (act): GELU(approximate='none') (fc2): Linear(in_features=4096, out_features=1024, bias=True) (drop): Dropout(p=0.0, inplace=False) ) (ls2): LayerScale() (drop_path2): Identity() ) ) (norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (head): Identity() ) (depth_head): DPTHead( (projects): ModuleList( (0): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1)) (1): Conv2d(1024, 512, kernel_size=(1, 1), stride=(1, 1)) (2-3): 2 x Conv2d(1024, 1024, kernel_size=(1, 1), stride=(1, 1)) ) (resize_layers): ModuleList( (0): ConvTranspose2d(256, 256, kernel_size=(4, 4), stride=(4, 4)) (1): ConvTranspose2d(512, 512, kernel_size=(2, 2), stride=(2, 2)) (2): Identity() (3): Conv2d(1024, 1024, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1)) ) (scratch): Module( (layer1_rn): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (layer2_rn): Conv2d(512, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (layer3_rn): Conv2d(1024, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (layer4_rn): Conv2d(1024, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (refinenet1): FeatureFusionBlock( (out_conv): Conv2d(256, 256, kernel_size=(1, 1), stride=(1, 1)) (resConfUnit1): ResidualConvUnit( (conv1): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (activation): ReLU() (skip_add): FloatFunctional( (activation_post_process): Identity() ) ) (resConfUnit2): ResidualConvUnit( (conv1): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (activation): ReLU() (skip_add): FloatFunctional( (activation_post_process): Identity() ) ) (skip_add): FloatFunctional( (activation_post_process): Identity() ) ) (refinenet2): FeatureFusionBlock( (out_conv): Conv2d(256, 256, kernel_size=(1, 1), stride=(1, 1)) (resConfUnit1): ResidualConvUnit( (conv1): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (activation): ReLU() (skip_add): FloatFunctional( (activation_post_process): Identity() ) ) (resConfUnit2): ResidualConvUnit( (conv1): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (activation): ReLU() (skip_add): FloatFunctional( (activation_post_process): Identity() ) ) (skip_add): FloatFunctional( (activation_post_process): Identity() ) ) (refinenet3): FeatureFusionBlock( (out_conv): Conv2d(256, 256, kernel_size=(1, 1), stride=(1, 1)) (resConfUnit1): ResidualConvUnit( (conv1): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (activation): ReLU() (skip_add): FloatFunctional( (activation_post_process): Identity() ) ) (resConfUnit2): ResidualConvUnit( (conv1): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (activation): ReLU() (skip_add): FloatFunctional( (activation_post_process): Identity() ) ) (skip_add): FloatFunctional( (activation_post_process): Identity() ) ) (refinenet4): FeatureFusionBlock( (out_conv): Conv2d(256, 256, kernel_size=(1, 1), stride=(1, 1)) (resConfUnit1): ResidualConvUnit( (conv1): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (activation): ReLU() (skip_add): FloatFunctional( (activation_post_process): Identity() ) ) (resConfUnit2): ResidualConvUnit( (conv1): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (activation): ReLU() (skip_add): FloatFunctional( (activation_post_process): Identity() ) ) (skip_add): FloatFunctional( (activation_post_process): Identity() ) ) (output_conv1): Conv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (output_conv2): Sequential( (0): Conv2d(128, 32, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (1): ReLU(inplace=True) (2): Conv2d(32, 1, kernel_size=(1, 1), stride=(1, 1)) (3): ReLU(inplace=True) (4): Identity() ) ) ) ) ) (conv2): Conv2d(256, 256, kernel_size=(1, 1), stride=(1, 1)) (seed_bin_regressor): SeedBinRegressorUnnormed( (_net): Sequential( (0): Conv2d(256, 256, kernel_size=(1, 1), stride=(1, 1)) (1): ReLU(inplace=True) (2): Conv2d(256, 64, kernel_size=(1, 1), stride=(1, 1)) (3): Softplus(beta=1, threshold=20) ) ) (seed_projector): Projector( (_net): Sequential( (0): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (1): ReLU(inplace=True) (2): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) ) ) (projectors): ModuleList( (0-3): 4 x Projector( (_net): Sequential( (0): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (1): ReLU(inplace=True) (2): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) ) ) ) (attractors): ModuleList( (0): AttractorLayerUnnormed( (_net): Sequential( (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) (1): ReLU(inplace=True) (2): Conv2d(128, 16, kernel_size=(1, 1), stride=(1, 1)) (3): Softplus(beta=1, threshold=20) ) ) (1): AttractorLayerUnnormed( (_net): Sequential( (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) (1): ReLU(inplace=True) (2): Conv2d(128, 8, kernel_size=(1, 1), stride=(1, 1)) (3): Softplus(beta=1, threshold=20) ) ) (2): AttractorLayerUnnormed( (_net): Sequential( (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) (1): ReLU(inplace=True) (2): Conv2d(128, 4, kernel_size=(1, 1), stride=(1, 1)) (3): Softplus(beta=1, threshold=20) ) ) (3): AttractorLayerUnnormed( (_net): Sequential( (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) (1): ReLU(inplace=True) (2): Conv2d(128, 1, kernel_size=(1, 1), stride=(1, 1)) (3): Softplus(beta=1, threshold=20) ) ) ) (conditional_log_binomial): ConditionalLogBinomial( (log_binomial_transform): LogBinomial() (mlp): Sequential( (0): Conv2d(161, 80, kernel_size=(1, 1), stride=(1, 1)) (1): GELU(approximate='none') (2): Conv2d(80, 4, kernel_size=(1, 1), stride=(1, 1)) (3): Softplus(beta=1, threshold=20) ) ) ) (sigloss): SILogLoss() (fusion_conv_list): ModuleList( (0-4): 5 x Conv2d(512, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (5): Conv2d(64, 32, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) ) (guided_fusion): GuidedFusionPatchFusion( (inc): DoubleConv( (double_conv): Sequential( (0): Conv2d(5, 32, kernel_size=(3, 3), stride=(1, 1), 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) ) ) (down_conv_list): ModuleList( (0): Down( (maxpool_conv): Sequential( (0): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) (1): DoubleConv( (double_conv): Sequential( (0): Conv2d(32, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (1): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (2): ReLU(inplace=True) (3): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (4): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (5): ReLU(inplace=True) ) ) ) ) (1-4): 4 x Down( (maxpool_conv): Sequential( (0): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) (1): DoubleConv( (double_conv): Sequential( (0): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (1): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (2): ReLU(inplace=True) (3): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (4): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (5): ReLU(inplace=True) ) ) ) ) ) (up_conv_list): ModuleList( (0-3): 4 x Upv1( (conv): DoubleConvWOBN( (double_conv): Sequential( (0): Conv2d(768, 768, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (1): ReLU(inplace=True) (2): Conv2d(768, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (3): ReLU(inplace=True) ) ) ) (4): Upv1( (conv): DoubleConvWOBN( (double_conv): Sequential( (0): Conv2d(544, 544, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (1): ReLU(inplace=True) (2): Conv2d(544, 32, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (3): ReLU(inplace=True) ) ) ) ) (g2l_att): ModuleList() (g2l_list): ModuleList( (0-1): 2 x G2LFusion( (g2l_layer): G2LBasicLayer( (blocks): ModuleList( (0-3): 4 x SwinTransformerBlock( (norm1): LayerNorm((256,), eps=1e-05, elementwise_affine=True) (attn): WindowAttention( dim=256, window_size=(12, 12), num_heads=32 (qkv): Linear(in_features=256, out_features=768, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=256, out_features=256, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) (softmax): Softmax(dim=-1) ) (drop_path): Identity() (norm2): LayerNorm((256,), eps=1e-05, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=256, out_features=1024, bias=True) (act): GELU(approximate='none') (fc2): Linear(in_features=1024, out_features=256, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) ) ) (g2l_layer_norm): LayerNorm((256,), eps=1e-05, elementwise_affine=True) (embed_proj): Conv2d(1, 256, kernel_size=(1, 1), stride=(1, 1)) ) (2-3): 2 x G2LFusion( (g2l_layer): G2LBasicLayer( (blocks): ModuleList( (0-2): 3 x SwinTransformerBlock( (norm1): LayerNorm((256,), eps=1e-05, elementwise_affine=True) (attn): WindowAttention( dim=256, window_size=(12, 12), num_heads=16 (qkv): Linear(in_features=256, out_features=768, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=256, out_features=256, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) (softmax): Softmax(dim=-1) ) (drop_path): Identity() (norm2): LayerNorm((256,), eps=1e-05, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=256, out_features=1024, bias=True) (act): GELU(approximate='none') (fc2): Linear(in_features=1024, out_features=256, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) ) ) (g2l_layer_norm): LayerNorm((256,), eps=1e-05, elementwise_affine=True) (embed_proj): Conv2d(1, 256, kernel_size=(1, 1), stride=(1, 1)) ) (4): G2LFusion( (g2l_layer): G2LBasicLayer( (blocks): ModuleList( (0-1): 2 x SwinTransformerBlock( (norm1): LayerNorm((256,), eps=1e-05, elementwise_affine=True) (attn): WindowAttention( dim=256, window_size=(12, 12), num_heads=8 (qkv): Linear(in_features=256, out_features=768, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=256, out_features=256, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) (softmax): Softmax(dim=-1) ) (drop_path): Identity() (norm2): LayerNorm((256,), eps=1e-05, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=256, out_features=1024, bias=True) (act): GELU(approximate='none') (fc2): Linear(in_features=1024, out_features=256, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) ) ) (g2l_layer_norm): LayerNorm((256,), eps=1e-05, elementwise_affine=True) (embed_proj): Conv2d(1, 256, kernel_size=(1, 1), stride=(1, 1)) ) (5): G2LFusion( (g2l_layer): G2LBasicLayer( (blocks): ModuleList( (0-1): 2 x SwinTransformerBlock( (norm1): LayerNorm((32,), eps=1e-05, elementwise_affine=True) (attn): WindowAttention( dim=32, window_size=(12, 12), num_heads=8 (qkv): Linear(in_features=32, out_features=96, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=32, out_features=32, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) (softmax): Softmax(dim=-1) ) (drop_path): Identity() (norm2): LayerNorm((32,), eps=1e-05, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=32, out_features=128, bias=True) (act): GELU(approximate='none') (fc2): Linear(in_features=128, out_features=32, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) ) ) (g2l_layer_norm): LayerNorm((32,), eps=1e-05, elementwise_affine=True) (embed_proj): Conv2d(1, 32, kernel_size=(1, 1), stride=(1, 1)) ) ) (convs): ModuleList( (0-4): 5 x DoubleConvWOBN( (double_conv): Sequential( (0): Conv2d(512, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (1): ReLU(inplace=True) (2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (3): ReLU(inplace=True) ) ) (5): DoubleConvWOBN( (double_conv): Sequential( (0): Conv2d(64, 32, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (1): ReLU(inplace=True) (2): Conv2d(32, 32, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (3): ReLU(inplace=True) ) ) ) ) (seed_bin_regressor): SeedBinRegressorUnnormed( (_net): Sequential( (0): Conv2d(256, 256, kernel_size=(1, 1), stride=(1, 1)) (1): ReLU(inplace=True) (2): Conv2d(256, 64, kernel_size=(1, 1), stride=(1, 1)) (3): Softplus(beta=1, threshold=20) ) ) (seed_projector): Projector( (_net): Sequential( (0): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (1): ReLU(inplace=True) (2): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) ) ) (projectors): ModuleList( (0-3): 4 x Projector( (_net): Sequential( (0): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) (1): ReLU(inplace=True) (2): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) ) ) ) (attractors): ModuleList( (0): AttractorLayerUnnormed( (_net): Sequential( (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) (1): ReLU(inplace=True) (2): Conv2d(128, 16, kernel_size=(1, 1), stride=(1, 1)) (3): Softplus(beta=1, threshold=20) ) ) (1): AttractorLayerUnnormed( (_net): Sequential( (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) (1): ReLU(inplace=True) (2): Conv2d(128, 8, kernel_size=(1, 1), stride=(1, 1)) (3): Softplus(beta=1, threshold=20) ) ) (2): AttractorLayerUnnormed( (_net): Sequential( (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) (1): ReLU(inplace=True) (2): Conv2d(128, 4, kernel_size=(1, 1), stride=(1, 1)) (3): Softplus(beta=1, threshold=20) ) ) (3): AttractorLayerUnnormed( (_net): Sequential( (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) (1): ReLU(inplace=True) (2): Conv2d(128, 1, kernel_size=(1, 1), stride=(1, 1)) (3): Softplus(beta=1, threshold=20) ) ) ) (conditional_log_binomial): ConditionalLogBinomial( (log_binomial_transform): LogBinomial() (mlp): Sequential( (0): Conv2d(161, 80, kernel_size=(1, 1), stride=(1, 1)) (1): GELU(approximate='none') (2): Conv2d(80, 4, kernel_size=(1, 1), stride=(1, 1)) (3): Softplus(beta=1, threshold=20) ) ) ) ) 2024/03/15 17:53:06 - patchstitcher - INFO - successfully init trainer 2024/03/15 17:53:06 - patchstitcher - INFO - training param: module.fusion_conv_list.0.weight 2024/03/15 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module.seed_bin_regressor._net.2.weight 2024/03/15 17:53:06 - patchstitcher - INFO - training param: module.seed_bin_regressor._net.2.bias 2024/03/15 17:53:06 - patchstitcher - INFO - training param: module.seed_projector._net.0.weight 2024/03/15 17:53:06 - patchstitcher - INFO - training param: module.seed_projector._net.0.bias 2024/03/15 17:53:06 - patchstitcher - INFO - training param: module.seed_projector._net.2.weight 2024/03/15 17:53:06 - patchstitcher - INFO - training param: module.seed_projector._net.2.bias 2024/03/15 17:53:06 - patchstitcher - INFO - training param: module.projectors.0._net.0.weight 2024/03/15 17:53:06 - patchstitcher - INFO - training param: module.projectors.0._net.0.bias 2024/03/15 17:53:06 - patchstitcher - INFO - training param: module.projectors.0._net.2.weight 2024/03/15 17:53:06 - patchstitcher - INFO - training param: module.projectors.0._net.2.bias 2024/03/15 17:53:06 - patchstitcher - INFO - training param: module.projectors.1._net.0.weight 2024/03/15 17:53:06 - patchstitcher - INFO - training param: module.projectors.1._net.0.bias 2024/03/15 17:53:06 - patchstitcher - INFO - training param: module.projectors.1._net.2.weight 2024/03/15 17:53:06 - patchstitcher - INFO - training param: module.projectors.1._net.2.bias 2024/03/15 17:53:06 - patchstitcher - INFO - training param: module.projectors.2._net.0.weight 2024/03/15 17:53:06 - patchstitcher - INFO - training param: module.projectors.2._net.0.bias 2024/03/15 17:53:06 - patchstitcher - INFO - training param: module.projectors.2._net.2.weight 2024/03/15 17:53:06 - patchstitcher - INFO - training param: module.projectors.2._net.2.bias 2024/03/15 17:53:06 - patchstitcher - INFO - training param: module.projectors.3._net.0.weight 2024/03/15 17:53:06 - patchstitcher - INFO - training param: module.projectors.3._net.0.bias 2024/03/15 17:53:06 - patchstitcher - INFO - training param: module.projectors.3._net.2.weight 2024/03/15 17:53:06 - patchstitcher - INFO - training param: module.projectors.3._net.2.bias 2024/03/15 17:53:06 - patchstitcher - INFO - training param: module.attractors.0._net.0.weight 2024/03/15 17:53:06 - patchstitcher - INFO - training param: module.attractors.0._net.0.bias 2024/03/15 17:53:06 - patchstitcher - INFO - training param: module.attractors.0._net.2.weight 2024/03/15 17:53:06 - patchstitcher - INFO - training param: module.attractors.0._net.2.bias 2024/03/15 17:53:06 - patchstitcher - INFO - training param: module.attractors.1._net.0.weight 2024/03/15 17:53:06 - patchstitcher - INFO - training param: module.attractors.1._net.0.bias 2024/03/15 17:53:06 - patchstitcher - INFO - training param: module.attractors.1._net.2.weight 2024/03/15 17:53:06 - patchstitcher - INFO - training param: module.attractors.1._net.2.bias 2024/03/15 17:53:06 - patchstitcher - INFO - training param: module.attractors.2._net.0.weight 2024/03/15 17:53:06 - patchstitcher - INFO - training param: module.attractors.2._net.0.bias 2024/03/15 17:53:06 - patchstitcher - INFO - training param: module.attractors.2._net.2.weight 2024/03/15 17:53:06 - patchstitcher - INFO - training param: module.attractors.2._net.2.bias 2024/03/15 17:53:06 - patchstitcher - INFO - training param: module.attractors.3._net.0.weight 2024/03/15 17:53:06 - patchstitcher - INFO - training param: module.attractors.3._net.0.bias 2024/03/15 17:53:06 - patchstitcher - INFO - training param: module.attractors.3._net.2.weight 2024/03/15 17:53:06 - patchstitcher - INFO - training param: module.attractors.3._net.2.bias 2024/03/15 17:53:06 - patchstitcher - INFO - training param: module.conditional_log_binomial.mlp.0.weight 2024/03/15 17:53:06 - patchstitcher - INFO - training param: module.conditional_log_binomial.mlp.0.bias 2024/03/15 17:53:06 - patchstitcher - INFO - training param: module.conditional_log_binomial.mlp.2.weight 2024/03/15 17:53:06 - patchstitcher - INFO - training param: module.conditional_log_binomial.mlp.2.bias 2024/03/15 17:57:49 - patchstitcher - INFO - Epoch: [01/16] - Step: [00100/00475] - Time: [1/1] - Total Loss: 6.651620864868164 - sig_loss: 6.651620864868164 2024/03/15 18:01:09 - patchstitcher - INFO - Epoch: [01/16] - Step: [00200/00475] - Time: [1/1] - Total Loss: 3.1729226112365723 - sig_loss: 3.1729226112365723 2024/03/15 18:04:30 - patchstitcher - INFO - Epoch: [01/16] - Step: [00300/00475] - Time: [1/1] - Total Loss: 6.4036359786987305 - sig_loss: 6.4036359786987305 2024/03/15 18:07:51 - patchstitcher - INFO - Epoch: [01/16] - Step: [00400/00475] - Time: [1/1] - Total Loss: 1.5950872898101807 - sig_loss: 1.5950872898101807 2024/03/15 18:14:41 - patchstitcher - INFO - Epoch: [02/16] - Step: [00100/00475] - Time: [1/1] - Total Loss: 0.5556060075759888 - sig_loss: 0.5556060075759888 2024/03/15 18:18:02 - patchstitcher - INFO - Epoch: [02/16] - Step: [00200/00475] - Time: [1/1] - Total Loss: 1.4476476907730103 - sig_loss: 1.4476476907730103 2024/03/15 18:21:23 - patchstitcher - INFO - Epoch: [02/16] - Step: [00300/00475] - Time: [1/1] - Total Loss: 0.7769662141799927 - sig_loss: 0.7769662141799927 2024/03/15 18:24:44 - patchstitcher - INFO - Epoch: [02/16] - Step: [00400/00475] - Time: [1/1] - Total Loss: 1.0473182201385498 - sig_loss: 1.0473182201385498 2024/03/15 18:28:21 - patchstitcher - INFO - Evaluation Summary: +-----------+----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | see | +-----------+----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+ | 0.9604923 | 0.992972 | 0.9974152 | 0.0768845 | 1.3931862 | 0.0329559 | 0.1041152 | 8.8729713 | 0.1381766 | 1.0569959 | +-----------+----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+ 2024/03/15 18:31:46 - patchstitcher - INFO - Epoch: [03/16] - Step: [00100/00475] - Time: [1/1] - Total Loss: 0.40465447306632996 - sig_loss: 0.40465447306632996 2024/03/15 18:35:08 - patchstitcher - INFO - Epoch: [03/16] - Step: [00200/00475] - Time: [1/1] - Total Loss: 1.1749241352081299 - sig_loss: 1.1749241352081299 2024/03/15 18:38:29 - patchstitcher - INFO - Epoch: [03/16] - Step: [00300/00475] - Time: [1/1] - Total Loss: 1.2686662673950195 - sig_loss: 1.2686662673950195 2024/03/15 18:41:50 - patchstitcher - INFO - Epoch: [03/16] - Step: [00400/00475] - Time: [1/1] - Total Loss: 0.711976170539856 - sig_loss: 0.711976170539856 2024/03/15 18:47:46 - patchstitcher - INFO - Epoch: [04/16] - Step: [00100/00475] - Time: [1/1] - Total Loss: 0.5024728775024414 - sig_loss: 0.5024728775024414 2024/03/15 18:51:07 - patchstitcher - INFO - Epoch: [04/16] - Step: [00200/00475] - Time: [1/1] - Total Loss: 0.527965784072876 - sig_loss: 0.527965784072876 2024/03/15 18:54:28 - patchstitcher - INFO - Epoch: [04/16] - Step: [00300/00475] - Time: [1/1] - Total Loss: 0.8440424203872681 - sig_loss: 0.8440424203872681 2024/03/15 18:57:48 - patchstitcher - INFO - Epoch: [04/16] - Step: [00400/00475] - Time: [1/1] - Total Loss: 0.26558583974838257 - sig_loss: 0.26558583974838257 2024/03/15 19:01:10 - patchstitcher - INFO - Evaluation Summary: +-----------+----------+-----------+----------+----------+-----------+-----------+---------+-----------+-----------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | see | +-----------+----------+-----------+----------+----------+-----------+-----------+---------+-----------+-----------+ | 0.9812026 | 0.994635 | 0.9978743 | 0.059769 | 1.174001 | 0.0255657 | 0.0845318 | 7.16214 | 0.1029762 | 0.9235216 | +-----------+----------+-----------+----------+----------+-----------+-----------+---------+-----------+-----------+ 2024/03/15 19:04:36 - patchstitcher - INFO - Epoch: [05/16] - Step: [00100/00475] - Time: [1/1] - Total Loss: 0.6908500790596008 - sig_loss: 0.6908500790596008 2024/03/15 19:07:57 - patchstitcher - INFO - Epoch: [05/16] - Step: [00200/00475] - Time: [1/1] - Total Loss: 0.33774641156196594 - sig_loss: 0.33774641156196594 2024/03/15 19:11:17 - patchstitcher - INFO - Epoch: [05/16] - Step: [00300/00475] - Time: [1/1] - Total Loss: 0.6475552916526794 - sig_loss: 0.6475552916526794 2024/03/15 19:14:38 - patchstitcher - INFO - Epoch: [05/16] - Step: [00400/00475] - Time: [1/1] - Total Loss: 0.7433701753616333 - sig_loss: 0.7433701753616333 2024/03/15 19:20:34 - patchstitcher - INFO - Epoch: [06/16] - Step: [00100/00475] - Time: [1/1] - Total Loss: 0.999753475189209 - sig_loss: 0.999753475189209 2024/03/15 19:23:55 - patchstitcher - INFO - Epoch: [06/16] - Step: [00200/00475] - Time: [1/1] - Total Loss: 0.8219634890556335 - sig_loss: 0.8219634890556335 2024/03/15 19:27:15 - patchstitcher - INFO - Epoch: [06/16] - Step: [00300/00475] - Time: [1/1] - Total Loss: 0.4194517433643341 - sig_loss: 0.4194517433643341 2024/03/15 19:30:36 - patchstitcher - INFO - Epoch: [06/16] - Step: [00400/00475] - Time: [1/1] - Total Loss: 0.7954123616218567 - sig_loss: 0.7954123616218567 2024/03/15 19:33:58 - patchstitcher - INFO - Evaluation Summary: +-----------+-----------+-----------+----------+-----------+-----------+-----------+-----------+----------+-----------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | see | +-----------+-----------+-----------+----------+-----------+-----------+-----------+-----------+----------+-----------+ | 0.9570371 | 0.9941043 | 0.9978197 | 0.101201 | 1.2812451 | 0.0417833 | 0.1185188 | 8.3019764 | 0.123725 | 1.0220292 | +-----------+-----------+-----------+----------+-----------+-----------+-----------+-----------+----------+-----------+ 2024/03/15 19:37:26 - patchstitcher - INFO - Epoch: [07/16] - Step: [00100/00475] - Time: [1/1] - Total Loss: 0.47829562425613403 - sig_loss: 0.47829562425613403 2024/03/15 19:40:47 - patchstitcher - INFO - Epoch: [07/16] - Step: [00200/00475] - Time: [1/1] - Total Loss: 1.0946928262710571 - sig_loss: 1.0946928262710571 2024/03/15 19:44:07 - patchstitcher - INFO - Epoch: [07/16] - Step: [00300/00475] - Time: [1/1] - Total Loss: 0.653084397315979 - sig_loss: 0.653084397315979 2024/03/15 19:47:28 - patchstitcher - INFO - Epoch: [07/16] - Step: [00400/00475] - Time: [1/1] - Total Loss: 0.49332454800605774 - sig_loss: 0.49332454800605774 2024/03/15 19:53:23 - patchstitcher - INFO - Epoch: [08/16] - Step: [00100/00475] - Time: [1/1] - Total Loss: 0.4712163209915161 - sig_loss: 0.4712163209915161 2024/03/15 19:56:43 - patchstitcher - INFO - Epoch: [08/16] - Step: [00200/00475] - Time: [1/1] - Total Loss: 0.852905809879303 - sig_loss: 0.852905809879303 2024/03/15 20:00:04 - patchstitcher - INFO - Epoch: [08/16] - Step: [00300/00475] - Time: [1/1] - Total Loss: 0.7322371602058411 - sig_loss: 0.7322371602058411 2024/03/15 20:03:24 - patchstitcher - INFO - Epoch: [08/16] - Step: [00400/00475] - Time: [1/1] - Total Loss: 0.8382786512374878 - sig_loss: 0.8382786512374878 2024/03/15 20:06:46 - patchstitcher - INFO - Evaluation Summary: +-----------+-----------+-----------+-----------+-----------+----------+-----------+-----------+-----------+-----------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | see | +-----------+-----------+-----------+-----------+-----------+----------+-----------+-----------+-----------+-----------+ | 0.9800802 | 0.9948133 | 0.9979888 | 0.0667494 | 1.1031989 | 0.027872 | 0.0859998 | 6.1991318 | 0.0983083 | 0.9544899 | +-----------+-----------+-----------+-----------+-----------+----------+-----------+-----------+-----------+-----------+ 2024/03/15 20:10:12 - patchstitcher - INFO - Epoch: [09/16] - Step: [00100/00475] - Time: [1/1] - Total Loss: 0.6576782464981079 - sig_loss: 0.6576782464981079 2024/03/15 20:13:33 - patchstitcher - INFO - Epoch: [09/16] - Step: [00200/00475] - Time: [1/1] - Total Loss: 0.3798004686832428 - sig_loss: 0.3798004686832428 2024/03/15 20:16:53 - patchstitcher - INFO - Epoch: [09/16] - Step: [00300/00475] - Time: [1/1] - Total Loss: 0.27597683668136597 - sig_loss: 0.27597683668136597 2024/03/15 20:20:14 - patchstitcher - INFO - Epoch: [09/16] - Step: [00400/00475] - Time: [1/1] - Total Loss: 0.4274792969226837 - sig_loss: 0.4274792969226837 2024/03/15 20:26:10 - patchstitcher - INFO - Epoch: [10/16] - Step: [00100/00475] - Time: [1/1] - Total Loss: 0.28685206174850464 - sig_loss: 0.28685206174850464 2024/03/15 20:29:30 - patchstitcher - INFO - Epoch: [10/16] - Step: [00200/00475] - Time: [1/1] - Total Loss: 0.6088235378265381 - sig_loss: 0.6088235378265381 2024/03/15 20:32:51 - patchstitcher - INFO - Epoch: [10/16] - Step: [00300/00475] - Time: [1/1] - Total Loss: 0.8431264758110046 - sig_loss: 0.8431264758110046 2024/03/15 20:36:11 - patchstitcher - INFO - Epoch: [10/16] - Step: [00400/00475] - Time: [1/1] - Total Loss: 0.4401911497116089 - sig_loss: 0.4401911497116089 2024/03/15 20:39:33 - patchstitcher - INFO - Evaluation Summary: +-----------+----------+-----------+-----------+-----------+-----------+-----------+----------+-----------+----------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | see | +-----------+----------+-----------+-----------+-----------+-----------+-----------+----------+-----------+----------+ | 0.9842327 | 0.995032 | 0.9980113 | 0.0420645 | 1.0650526 | 0.0181017 | 0.0686697 | 6.248743 | 0.0888892 | 0.887989 | +-----------+----------+-----------+-----------+-----------+-----------+-----------+----------+-----------+----------+ 2024/03/15 20:42:58 - patchstitcher - INFO - Epoch: [11/16] - Step: [00100/00475] - Time: [1/1] - Total Loss: 0.4226158559322357 - sig_loss: 0.4226158559322357 2024/03/15 20:46:19 - patchstitcher - INFO - Epoch: [11/16] - Step: [00200/00475] - Time: [1/1] - Total Loss: 0.5998555421829224 - sig_loss: 0.5998555421829224 2024/03/15 20:49:39 - patchstitcher - INFO - Epoch: [11/16] - Step: [00300/00475] - Time: [1/1] - Total Loss: 0.8624639511108398 - sig_loss: 0.8624639511108398 2024/03/15 20:52:59 - patchstitcher - INFO - Epoch: [11/16] - Step: [00400/00475] - Time: [1/1] - Total Loss: 0.5691335797309875 - sig_loss: 0.5691335797309875 2024/03/15 20:58:54 - patchstitcher - INFO - Epoch: [12/16] - Step: [00100/00475] - Time: [1/1] - Total Loss: 0.3543495535850525 - sig_loss: 0.3543495535850525 2024/03/15 21:02:14 - patchstitcher - INFO - Epoch: [12/16] - Step: [00200/00475] - Time: [1/1] - Total Loss: 0.17586150765419006 - sig_loss: 0.17586150765419006 2024/03/15 21:05:35 - patchstitcher - INFO - Epoch: [12/16] - Step: [00300/00475] - Time: [1/1] - Total Loss: 0.8585277795791626 - sig_loss: 0.8585277795791626 2024/03/15 21:08:55 - patchstitcher - INFO - Epoch: [12/16] - Step: [00400/00475] - Time: [1/1] - Total Loss: 0.39675745368003845 - sig_loss: 0.39675745368003845 2024/03/15 21:12:17 - patchstitcher - INFO - Evaluation Summary: +-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | see | +-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+ | 0.9845838 | 0.9949521 | 0.9980043 | 0.0384732 | 1.0613158 | 0.0166137 | 0.0663726 | 6.1042054 | 0.0890013 | 0.8891889 | +-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+ 2024/03/15 21:15:43 - patchstitcher - INFO - Epoch: [13/16] - Step: [00100/00475] - Time: [1/1] - Total Loss: 1.4550189971923828 - sig_loss: 1.4550189971923828 2024/03/15 21:19:03 - patchstitcher - INFO - Epoch: [13/16] - Step: [00200/00475] - Time: [1/1] - Total Loss: 0.4285925626754761 - sig_loss: 0.4285925626754761 2024/03/15 21:22:24 - patchstitcher - INFO - Epoch: [13/16] - Step: [00300/00475] - Time: [1/1] - Total Loss: 0.5604073405265808 - sig_loss: 0.5604073405265808 2024/03/15 21:25:45 - patchstitcher - INFO - Epoch: [13/16] - Step: [00400/00475] - Time: [1/1] - Total Loss: 0.7231113314628601 - sig_loss: 0.7231113314628601 2024/03/15 21:31:38 - patchstitcher - INFO - Epoch: [14/16] - Step: [00100/00475] - Time: [1/1] - Total Loss: 0.22688111662864685 - sig_loss: 0.22688111662864685 2024/03/15 21:34:58 - patchstitcher - INFO - Epoch: [14/16] - Step: [00200/00475] - Time: [1/1] - Total Loss: 0.4432392120361328 - sig_loss: 0.4432392120361328 2024/03/15 21:38:19 - patchstitcher - INFO - Epoch: [14/16] - Step: [00300/00475] - Time: [1/1] - Total Loss: 0.5041521191596985 - sig_loss: 0.5041521191596985 2024/03/15 21:41:40 - patchstitcher - INFO - Epoch: [14/16] - Step: [00400/00475] - Time: [1/1] - Total Loss: 0.6649416089057922 - sig_loss: 0.6649416089057922 2024/03/15 21:45:01 - patchstitcher - INFO - Evaluation Summary: +-----------+-----------+-----------+-----------+----------+-----------+-----------+-----------+-----------+----------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | see | +-----------+-----------+-----------+-----------+----------+-----------+-----------+-----------+-----------+----------+ | 0.9851979 | 0.9949358 | 0.9979829 | 0.0377008 | 1.029974 | 0.0165044 | 0.0661251 | 6.0282001 | 0.0796015 | 0.812903 | +-----------+-----------+-----------+-----------+----------+-----------+-----------+-----------+-----------+----------+ 2024/03/15 21:48:25 - patchstitcher - INFO - Epoch: [15/16] - Step: [00100/00475] - Time: [1/1] - Total Loss: 0.41866496205329895 - sig_loss: 0.41866496205329895 2024/03/15 21:51:46 - patchstitcher - INFO - Epoch: [15/16] - Step: [00200/00475] - Time: [1/1] - Total Loss: 0.8762396574020386 - sig_loss: 0.8762396574020386 2024/03/15 21:55:06 - patchstitcher - INFO - Epoch: [15/16] - Step: [00300/00475] - Time: [1/1] - Total Loss: 2.038621664047241 - sig_loss: 2.038621664047241 2024/03/15 21:58:27 - patchstitcher - INFO - Epoch: [15/16] - Step: [00400/00475] - Time: [1/1] - Total Loss: 0.2506561875343323 - sig_loss: 0.2506561875343323 2024/03/15 22:04:22 - patchstitcher - INFO - Epoch: [16/16] - Step: [00100/00475] - Time: [1/1] - Total Loss: 0.37795141339302063 - sig_loss: 0.37795141339302063 2024/03/15 22:07:42 - patchstitcher - INFO - Epoch: [16/16] - Step: [00200/00475] - Time: [1/1] - Total Loss: 0.24302588403224945 - sig_loss: 0.24302588403224945 2024/03/15 22:11:03 - patchstitcher - INFO - Epoch: [16/16] - Step: [00300/00475] - Time: [1/1] - Total Loss: 0.4261029362678528 - sig_loss: 0.4261029362678528 2024/03/15 22:14:24 - patchstitcher - INFO - Epoch: [16/16] - Step: [00400/00475] - Time: [1/1] - Total Loss: 1.648262858390808 - sig_loss: 1.648262858390808 2024/03/15 22:17:45 - patchstitcher - INFO - Evaluation Summary: +-----------+----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+ | a1 | a2 | a3 | abs_rel | rmse | log_10 | rmse_log | silog | sq_rel | see | +-----------+----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+ | 0.9852235 | 0.994962 | 0.9979886 | 0.0368362 | 1.0233804 | 0.0160672 | 0.0651711 | 5.9528971 | 0.0792726 | 0.8155836 | +-----------+----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+-----------+ 2024/03/15 22:17:45 - patchstitcher - INFO - Saving ckp, but use the inner get_save_dict fuction to get model_dict 2024/03/15 22:17:45 - patchstitcher - INFO - For saving space. Would you like to save base model several times? :> 2024/03/15 22:17:46 - patchstitcher - INFO - save checkpoint_16.pth at ./work_dir/depthanything_vitl_u4k/patchfusion