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sxl142 / GLoT

Global-to-Local Modeling for Video-based 3D Human Pose and Shape Estimation
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Exploring the Challenges: Reproducing the Results with repr_table1_3dpw.yaml Configuration #5

Closed 1324833746 closed 1 year ago

1324833746 commented 1 year ago

Hello, author. I used the settings from the repr_table1_3dpw.yaml file you provided, but I couldn’t train a model with the same results. Could there be any other details that I overlooked?

{'CUDNN': CfgNode({'BENCHMARK': True, 'DETERMINISTIC': False, 'ENABLED': True}), 'DATASET': CfgNode({'SEQLEN': 16, 'OVERLAP': 0.5}), 'DEBUG': False, 'DEBUG_FREQ': 5, 'DEVICE': 'cuda', 'EXP_NAME': 'table1_3dpw_exp', 'LOGDIR': '/home/xyh/project/GLot/exp_dir/experiments/21-07-2023_19-27-43_table1_3dpw_exp', 'LOSS': {'D_MOTION_LOSS_W': 0.0, 'KP_2D_W': 300.0, 'KP_3D_W': 300.0, 'POSE_W': 60.0, 'SHAPE_W': 0.06, 'use_accel': False, 'vel_or_accel_2d_weight': 10.0, 'vel_or_accel_3d_weight': 100.0}, 'MODEL': {'MODEL_NAME': 'GLoT', 'atten_drop': 0.0, 'd_model': 512, 'drop_path_r': 0.2, 'drop_reg_short': 0.25, 'dropout': 0.1, 'mask_ratio': 0.5, 'n_layers': 2, 'num_head': 8, 'short_atten_drop': 0.0, 'short_d_model': 256, 'short_drop_path_r': 0.2, 'short_dropout': 0.1, 'short_n_layers': 3, 'short_num_head': 8, 'stride_short': 4}, 'NUM_WORKERS': 16, 'OUTPUT_DIR': '/home/xyh/project/GLot/exp_dir/experiments', 'SEED_VALUE': 1, 'TITLE': 'repr_table4_3dpw_model', 'TRAIN': {'BATCH_SIZE': 64, 'DATASETS_2D': ['Insta'], 'DATASETS_3D': ['ThreeDPW', 'MPII3D', 'Human36M'], 'DATASET_EVAL': 'ThreeDPW', 'DATA_2D_RATIO': 0.6, 'END_EPOCH': 50, 'GEN_LR': 0.0001, 'GEN_MOMENTUM': 0.9, 'GEN_OPTIM': 'Adam', 'GEN_WD': 0.0, 'LR_PATIENCE': 5, 'MOT_DISCR': {'ATT': {'DROPOUT': 0.2, 'LAYERS': 3, 'SIZE': 1024}, 'FEATURE_POOL': 'attention', 'HIDDEN_SIZE': 1024, 'LR': 0.0001, 'MOMENTUM': 0.9, 'NUM_LAYERS': 2, 'OPTIM': 'Adam', 'UPDATE_STEPS': 1, 'WD': 0.0001}, 'NUM_ITERS_PER_EPOCH': 1000, 'OVERLAP': 0.0, 'PRETRAINED': '/home/xyh/project/GLot/exp_dir/experiments/21-07-2023_17-08-53_table1_3dpw_exp/checkpoint.pth.tar', 'PRETRAINED_REGRESSOR': '/home/xyh/data/base_data/spin_model_checkpoint.pth.tar', 'RESUME': '', 'START_EPOCH': 0, 'val_epoch': 25}, 'render': False}

1324833746 commented 1 year ago

I tried using both the (dataset)_occ_db and (dataset)_db provided by TCMR, but neither worked. However, when using the model you provided, I was able to achieve the same results on the test set. Do you think any further configuration modifications are necessary?

sxl142 commented 1 year ago

2023-06-21 14:38:42,934 GPU name -> Tesla V100-SXM2-16GB 2023-06-21 14:38:42,934 GPU feat -> _CudaDeviceProperties(name='Tesla V100-SXM2-16GB', major=7, minor=0, total_memory=16130MB, multi_processor_count=80) 2023-06-21 14:38:42,935 {'CUDNN': CfgNode({'BENCHMARK': True, 'DETERMINISTIC': False, 'ENABLED': True}), 'DATASET': CfgNode({'SEQLEN': 16, 'OVERLAP': 0.5}), 'DEBUG': False, 'DEBUG_FREQ': 5, 'DEVICE': 'cuda', 'EXP_NAME': 'table1_3dpw_exp', 'LOGDIR': '/home/shenxiaolong.sxl/exp_dir/experiments/21-06-2023_14-38-42_table1_3dpw_exp', 'LOSS': {'D_MOTION_LOSS_W': 0.0, 'KP_2D_W': 300.0, 'KP_3D_W': 300.0, 'POSE_W': 60.0, 'SHAPE_W': 0.06, 'use_accel': False, 'vel_or_accel_2d_weight': 10.0, 'vel_or_accel_3d_weight': 100.0}, 'MODEL': {'MODEL_NAME': 'GLoT', 'atten_drop': 0.0, 'd_model': 512, 'drop_path_r': 0.2, 'drop_reg_short': 0.25, 'dropout': 0.1, 'mask_ratio': 0.5, 'n_layers': 2, 'num_head': 8, 'short_atten_drop': 0.0, 'short_d_model': 256, 'short_drop_path_r': 0.2, 'short_dropout': 0.1, 'short_n_layers': 3, 'short_num_head': 8, 'stride_short': 4}, 'NUM_WORKERS': 16, 'OUTPUT_DIR': '/home/shenxiaolong.sxl/exp_dir/experiments', 'SEED_VALUE': 1, 'TITLE': 'repr_table4_3dpw_model', 'TRAIN': {'BATCH_SIZE': 64, 'DATASETS_2D': ['Insta'], 'DATASETS_3D': ['ThreeDPW', 'MPII3D', 'Human36M'], 'DATASET_EVAL': 'ThreeDPW', 'DATA_2D_RATIO': 0.6, 'END_EPOCH': 50, 'GEN_LR': 0.0001, 'GEN_MOMENTUM': 0.9, 'GEN_OPTIM': 'Adam', 'GEN_WD': 0.0, 'LR_PATIENCE': 5, 'MOT_DISCR': {'ATT': {'DROPOUT': 0.2, 'LAYERS': 3, 'SIZE': 1024}, 'FEATURE_POOL': 'attention', 'HIDDEN_SIZE': 1024, 'LR': 0.0001, 'MOMENTUM': 0.9, 'NUM_LAYERS': 2, 'OPTIM': 'Adam', 'UPDATE_STEPS': 1, 'WD': 0.0001}, 'NUM_ITERS_PER_EPOCH': 1000, 'OVERLAP': 0.0, 'PRETRAINED': '/home/shenxiaolong.sxl/exp_dir/experiments/20-06-2023_20-58-59_table4_3dpw_ori_256_short_sup_one_fc_decouple_10_25/model_best.pth.tar', 'PRETRAINED_REGRESSOR': '/home/shenxiaolong.sxl/remote_t1/data/base_data/spin_model_checkpoint.pth.tar', 'RESUME': '', 'START_EPOCH': 0, 'val_epoch': 25}, 'render': False} 2023-06-21 14:39:02,837 net: GLoT( (proj_short): Linear(in_features=2048, out_features=256, bias=True) (proj_mem): Linear(in_features=512, out_features=256, bias=True) (local_trans_de): CrossAttention( (kv_l): Linear(in_features=256, out_features=512, bias=False) (q_l): Linear(in_features=256, out_features=256, bias=False) (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) ) (local_trans_en): Transformer( (blocks): ModuleList( (0): Block( (norm1): LayerNorm((256,), eps=1e-06, elementwise_affine=True) (attn): Attention( (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=0.1, inplace=False) ) (drop_path): Identity() (norm2): LayerNorm((256,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=256, out_features=1024, bias=True) (act): GELU() (fc2): Linear(in_features=1024, out_features=256, bias=True) (drop): Dropout(p=0.1, inplace=False) ) ) (1): Block( (norm1): LayerNorm((256,), eps=1e-06, elementwise_affine=True) (attn): Attention( (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=0.1, inplace=False) ) (drop_path): DropPath(drop_prob=0.100) (norm2): LayerNorm((256,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=256, out_features=1024, bias=True) (act): GELU() (fc2): Linear(in_features=1024, out_features=256, bias=True) (drop): Dropout(p=0.1, inplace=False) ) ) (2): Block( (norm1): LayerNorm((256,), eps=1e-06, elementwise_affine=True) (attn): Attention( (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=0.1, inplace=False) ) (drop_path): DropPath(drop_prob=0.200) (norm2): LayerNorm((256,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=256, out_features=1024, bias=True) (act): GELU() (fc2): Linear(in_features=1024, out_features=256, bias=True) (drop): Dropout(p=0.1, inplace=False) ) ) ) (norm): LayerNorm((256,), eps=1e-06, elementwise_affine=True) ) (regressor): HSCR( (fc1): Linear(in_features=266, out_features=1024, bias=True) (fc2): Linear(in_features=400, out_features=1024, bias=True) (drop1): Dropout(p=0.25, inplace=False) (drop2): Dropout(p=0.25, inplace=False) (decshape): Linear(in_features=1024, out_features=10, bias=True) (deccam): Linear(in_features=2051, out_features=3, bias=True) (smpl): SMPL( Number of betas: 10 (vertex_joint_selector): VertexJointSelector() ) (local_reg): KTD( (joint_regs): ModuleList( (0): Linear(in_features=1030, out_features=6, bias=True) (1): Linear(in_features=1036, out_features=6, bias=True) (2): Linear(in_features=1036, out_features=6, bias=True) (3): Linear(in_features=1036, out_features=6, bias=True) (4): Linear(in_features=1042, out_features=6, bias=True) (5): Linear(in_features=1042, out_features=6, bias=True) (6): Linear(in_features=1042, out_features=6, bias=True) (7): Linear(in_features=1048, out_features=6, bias=True) (8): Linear(in_features=1048, out_features=6, bias=True) (9): Linear(in_features=1048, out_features=6, bias=True) (10): Linear(in_features=1054, out_features=6, bias=True) (11): Linear(in_features=1054, out_features=6, bias=True) (12): Linear(in_features=1054, out_features=6, bias=True) (13): Linear(in_features=1054, out_features=6, bias=True) (14): Linear(in_features=1054, out_features=6, bias=True) (15): Linear(in_features=1060, out_features=6, bias=True) (16): Linear(in_features=1060, out_features=6, bias=True) (17): Linear(in_features=1060, out_features=6, bias=True) (18): Linear(in_features=1066, out_features=6, bias=True) (19): Linear(in_features=1066, out_features=6, bias=True) (20): Linear(in_features=1072, out_features=6, bias=True) (21): Linear(in_features=1072, out_features=6, bias=True) (22): Linear(in_features=1078, out_features=6, bias=True) (23): Linear(in_features=1078, out_features=6, bias=True) ) (decshape): Linear(in_features=1024, out_features=10, bias=True) (deccam): Linear(in_features=1024, out_features=3, bias=True) ) ) (global_modeling): GMM( (proj): Linear(in_features=2048, out_features=512, bias=True) (trans): Transformer( (mask_token_mlp): Sequential( (0): Linear(in_features=157, out_features=256, bias=True) (1): ReLU() (2): Linear(in_features=256, out_features=512, bias=True) (3): ReLU() (4): Linear(in_features=512, out_features=256, bias=True) ) (blocks): ModuleList( (0): Block( (norm1): LayerNorm((512,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=512, out_features=1536, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=512, out_features=512, bias=True) (proj_drop): Dropout(p=0.1, inplace=False) ) (drop_path): Identity() (norm2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=512, out_features=2048, bias=True) (act): GELU() (fc2): Linear(in_features=2048, out_features=512, bias=True) (drop): Dropout(p=0.1, inplace=False) ) ) (1): Block( (norm1): LayerNorm((512,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=512, out_features=1536, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=512, out_features=512, bias=True) (proj_drop): Dropout(p=0.1, inplace=False) ) (drop_path): DropPath(drop_prob=0.200) (norm2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=512, out_features=2048, bias=True) (act): GELU() (fc2): Linear(in_features=2048, out_features=512, bias=True) (drop): Dropout(p=0.1, inplace=False) ) ) ) (norm): LayerNorm((512,), eps=1e-06, elementwise_affine=True) (decoder_blocks): ModuleList( (0): Block( (norm1): LayerNorm((256,), eps=1e-06, elementwise_affine=True) (attn): Attention( (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=0.1, inplace=False) ) (drop_path): Identity() (norm2): LayerNorm((256,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=256, out_features=1024, bias=True) (act): GELU() (fc2): Linear(in_features=1024, out_features=256, bias=True) (drop): Dropout(p=0.1, inplace=False) ) ) ) (decoder_embed): Linear(in_features=512, out_features=256, bias=True) (decoder_norm): LayerNorm((256,), eps=1e-06, elementwise_affine=True) ) (out_proj): Linear(in_features=256, out_features=2048, bias=True) (regressor): Regressor( (fc1): Linear(in_features=2205, out_features=1024, bias=True) (drop1): Dropout(p=0.5, inplace=False) (fc2): Linear(in_features=1024, out_features=1024, bias=True) (drop2): Dropout(p=0.5, inplace=False) (decpose): Linear(in_features=1024, out_features=144, bias=True) (decshape): Linear(in_features=1024, out_features=10, bias=True) (deccam): Linear(in_features=1024, out_features=3, bias=True) (smpl): SMPL( Number of betas: 10 (vertex_joint_selector): VertexJointSelector() ) ) ) ) 2023-06-21 14:39:02,839 params num: 16754444 2023-06-21 14:39:05,287 => no checkpoint found at '' 2023-06-21 14:42:17,166 (1000/1000) | Total: 0:03:11 | ETA: 0:00:01 | loss: 82.09 | 2d: 2.71 | 3d: 4.93 2d_short: 54.25 | 3d_short: 14.12 2d_mae_accel: 0.09 | 3d_mae_accel: 0.37 | 2d_short_accel: 1.89 | 3d_short_accel: 0.82 | loss_kp_2d_mae: 1.963 | loss_kp_3d_mae: 4.539 | loss_kp_2d_short: 29.400 | loss_kp_3d_short: 12.844 | loss_accel_2d_mae: 0.068 | loss_accel_3d_mae: 0.424 | loss_accel_2d_short: 0.847 | loss_accel_3d_short: 0.694 | data: 0.01 | forward: 0.06 | loss: 0.01 | backward: 0.11 | batch: 0.18 2023-06-21 14:43:02,547 (159/159) | batch: 452.4ms | Total: 0:00:45 | ETA: 0:00:01 2023-06-21 14:46:19,693 (1000/1000) | Total: 0:03:17 | ETA: 0:00:01 | loss: 28.23 | 2d: 1.67 | 3d: 2.18 2d_short: 15.92 | 3d_short: 6.06 2d_mae_accel: 0.06 | 3d_mae_accel: 0.26 | 2d_short_accel: 0.42 | 3d_short_accel: 0.60 | loss_kp_2d_mae: 1.338 | loss_kp_3d_mae: 1.595 | loss_kp_2d_short: 8.188 | loss_kp_3d_short: 3.789 | loss_accel_2d_mae: 0.053 | loss_accel_3d_mae: 0.186 | loss_accel_2d_short: 0.211 | loss_accel_3d_short: 0.397 | data: 0.01 | forward: 0.06 | loss: 0.01 | backward: 0.13 | batch: 0.20 2023-06-21 14:47:08,027 (159/159) | batch: 481.9ms | Total: 0:00:48 | ETA: 0:00:01 2023-06-21 14:50:26,872 (1000/1000) | Total: 0:03:18 | ETA: 0:00:01 | loss: 15.43 | 2d: 1.36 | 3d: 1.45 2d_short: 7.93 | 3d_short: 3.15 2d_mae_accel: 0.05 | 3d_mae_accel: 0.14 | 2d_short_accel: 0.22 | 3d_short_accel: 0.33 | loss_kp_2d_mae: 1.120 | loss_kp_3d_mae: 1.181 | loss_kp_2d_short: 7.335 | loss_kp_3d_short: 2.645 | loss_accel_2d_mae: 0.043 | loss_accel_3d_mae: 0.119 | loss_accel_2d_short: 0.277 | loss_accel_3d_short: 0.357 | data: 0.01 | forward: 0.07 | loss: 0.01 | backward: 0.12 | batch: 0.20 2023-06-21 14:51:20,556 (159/159) | batch: 534.4ms | Total: 0:00:53 | ETA: 0:00:01 2023-06-21 14:54:43,387 (1000/1000) | Total: 0:03:22 | ETA: 0:00:01 | loss: 13.09 | 2d: 1.22 | 3d: 1.16 2d_short: 7.14 | 3d_short: 2.35 2d_mae_accel: 0.04 | 3d_mae_accel: 0.10 | 2d_short_accel: 0.20 | 3d_short_accel: 0.23 | loss_kp_2d_mae: 1.328 | loss_kp_3d_mae: 1.284 | loss_kp_2d_short: 6.826 | loss_kp_3d_short: 2.705 | loss_accel_2d_mae: 0.043 | loss_accel_3d_mae: 0.089 | loss_accel_2d_short: 0.159 | loss_accel_3d_short: 0.221 | data: 0.01 | forward: 0.06 | loss: 0.01 | backward: 0.11 | batch: 0.19 2023-06-21 14:55:30,432 (159/159) | batch: 468.7ms | Total: 0:00:46 | ETA: 0:00:01 2023-06-21 14:58:54,085 (1000/1000) | Total: 0:03:23 | ETA: 0:00:01 | loss: 11.19 | 2d: 1.14 | 3d: 1.00 2d_short: 6.09 | 3d_short: 1.90 2d_mae_accel: 0.04 | 3d_mae_accel: 0.08 | 2d_short_accel: 0.18 | 3d_short_accel: 0.17 | loss_kp_2d_mae: 0.959 | loss_kp_3d_mae: 0.917 | loss_kp_2d_short: 4.743 | loss_kp_3d_short: 1.770 | loss_accel_2d_mae: 0.034 | loss_accel_3d_mae: 0.069 | loss_accel_2d_short: 0.165 | loss_accel_3d_short: 0.155 | data: 0.01 | forward: 0.06 | loss: 0.01 | backward: 0.12 | batch: 0.20 2023-06-21 14:59:44,907 (159/159) | batch: 506.4ms | Total: 0:00:50 | ETA: 0:00:01 2023-06-21 15:03:07,080 (1000/1000) | Total: 0:03:22 | ETA: 0:00:01 | loss: 9.86 | 2d: 1.15 | 3d: 0.95 2d_short: 5.04 | 3d_short: 1.70 2d_mae_accel: 0.04 | 3d_mae_accel: 0.06 | 2d_short_accel: 0.15 | 3d_short_accel: 0.13 | loss_kp_2d_mae: 1.058 | loss_kp_3d_mae: 0.699 | loss_kp_2d_short: 3.846 | loss_kp_3d_short: 1.216 | loss_accel_2d_mae: 0.041 | loss_accel_3d_mae: 0.045 | loss_accel_2d_short: 0.132 | loss_accel_3d_short: 0.089 | data: 0.01 | forward: 0.06 | loss: 0.01 | backward: 0.11 | batch: 0.19 2023-06-21 15:03:54,666 (159/159) | batch: 473.7ms | Total: 0:00:47 | ETA: 0:00:01 2023-06-21 15:07:18,200 (1000/1000) | Total: 0:03:23 | ETA: 0:00:01 | loss: 8.09 | 2d: 1.10 | 3d: 0.87 2d_short: 3.79 | 3d_short: 1.48 2d_mae_accel: 0.04 | 3d_mae_accel: 0.05 | 2d_short_accel: 0.12 | 3d_short_accel: 0.10 | loss_kp_2d_mae: 0.851 | loss_kp_3d_mae: 0.646 | loss_kp_2d_short: 2.754 | loss_kp_3d_short: 0.939 | loss_accel_2d_mae: 0.039 | loss_accel_3d_mae: 0.046 | loss_accel_2d_short: 0.088 | loss_accel_3d_short: 0.083 | loss_pose_mae: 0.399 | loss_pose_short: 0.793 | loss_shape_mae: 0.021 | loss_shape_short: 0.040 | data: 0.01 | forward: 0.06 | loss: 0.01 | backward: 0.13 | batch: 0.22 2023-06-21 15:08:13,161 (159/159) | batch: 547.9ms | Total: 0:00:54 | ETA: 0:00:01 2023-06-21 15:11:32,742 (1000/1000) | Total: 0:03:19 | ETA: 0:00:01 | loss: 6.41 | 2d: 1.07 | 3d: 0.80 2d_short: 2.51 | 3d_short: 1.32 2d_mae_accel: 0.04 | 3d_mae_accel: 0.05 | 2d_short_accel: 0.07 | 3d_short_accel: 0.09 | loss_kp_2d_mae: 1.315 | loss_kp_3d_mae: 0.817 | loss_kp_2d_short: 2.882 | loss_kp_3d_short: 1.434 | loss_accel_2d_mae: 0.046 | loss_accel_3d_mae: 0.046 | loss_accel_2d_short: 0.064 | loss_accel_3d_short: 0.088 | loss_pose_mae: 0.827 | loss_pose_short: 1.805 | loss_shape_mae: 0.023 | loss_shape_short: 0.053 | data: 0.01 | forward: 0.06 | loss: 0.01 | backward: 0.13 | batch: 0.21 2023-06-21 15:12:20,821 (159/159) | batch: 479.1ms | Total: 0:00:47 | ETA: 0:00:01 2023-06-21 15:15:54,623 (1000/1000) | Total: 0:03:33 | ETA: 0:00:01 | loss: 5.60 | 2d: 1.06 | 3d: 0.76 2d_short: 1.88 | 3d_short: 1.23 2d_mae_accel: 0.04 | 3d_mae_accel: 0.04 | 2d_short_accel: 0.05 | 3d_short_accel: 0.08 | loss_kp_2d_mae: 0.902 | loss_kp_3d_mae: 0.690 | loss_kp_2d_short: 1.220 | loss_kp_3d_short: 1.126 | loss_accel_2d_mae: 0.042 | loss_accel_3d_mae: 0.040 | loss_accel_2d_short: 0.037 | loss_accel_3d_short: 0.066 | data: 0.02 | forward: 0.08 | loss: 0.01 | backward: 0.13 | batch: 0.23 2023-06-21 15:16:54,854 (159/159) | batch: 600.0ms | Total: 0:01:00 | ETA: 0:00:01 2023-06-21 15:20:17,171 (1000/1000) | Total: 0:03:22 | ETA: 0:00:01 | loss: 5.14 | 2d: 1.05 | 3d: 0.74 2d_short: 1.52 | 3d_short: 1.17 2d_mae_accel: 0.04 | 3d_mae_accel: 0.04 | 2d_short_accel: 0.03 | 3d_short_accel: 0.07 | loss_kp_2d_mae: 1.154 | loss_kp_3d_mae: 0.556 | loss_kp_2d_short: 1.273 | loss_kp_3d_short: 0.771 | loss_accel_2d_mae: 0.041 | loss_accel_3d_mae: 0.034 | loss_accel_2d_short: 0.030 | loss_accel_3d_short: 0.053 | data: 0.02 | forward: 0.06 | loss: 0.01 | backward: 0.11 | batch: 0.19 2023-06-21 15:21:12,268 (159/159) | batch: 549.1ms | Total: 0:00:54 | ETA: 0:00:01 2023-06-21 15:24:37,423 (1000/1000) | Total: 0:03:25 | ETA: 0:00:01 | loss: 4.79 | 2d: 1.03 | 3d: 0.71 2d_short: 1.28 | 3d_short: 1.11 2d_mae_accel: 0.04 | 3d_mae_accel: 0.04 | 2d_short_accel: 0.03 | 3d_short_accel: 0.06 | loss_kp_2d_mae: 1.089 | loss_kp_3d_mae: 0.585 | loss_kp_2d_short: 1.360 | loss_kp_3d_short: 0.886 | loss_accel_2d_mae: 0.037 | loss_accel_3d_mae: 0.034 | loss_accel_2d_short: 0.022 | loss_accel_3d_short: 0.048 | data: 0.02 | forward: 0.06 | loss: 0.01 | backward: 0.11 | batch: 0.19 2023-06-21 15:25:33,086 (159/159) | batch: 554.2ms | Total: 0:00:55 | ETA: 0:00:01 2023-06-21 15:28:51,531 (1000/1000) | Total: 0:03:18 | ETA: 0:00:01 | loss: 4.42 | 2d: 1.01 | 3d: 0.65 2d_short: 1.14 | 3d_short: 1.05 2d_mae_accel: 0.04 | 3d_mae_accel: 0.04 | 2d_short_accel: 0.02 | 3d_short_accel: 0.05 | loss_kp_2d_mae: 0.829 | loss_kp_3d_mae: 0.665 | loss_kp_2d_short: 0.711 | loss_kp_3d_short: 0.965 | loss_accel_2d_mae: 0.038 | loss_accel_3d_mae: 0.038 | loss_accel_2d_short: 0.013 | loss_accel_3d_short: 0.053 | data: 0.01 | forward: 0.06 | loss: 0.01 | backward: 0.11 | batch: 0.19 2023-06-21 15:29:42,803 (159/159) | batch: 510.9ms | Total: 0:00:51 | ETA: 0:00:01 2023-06-21 15:33:07,010 (1000/1000) | Total: 0:03:24 | ETA: 0:00:01 | loss: 4.33 | 2d: 1.00 | 3d: 0.58 2d_short: 1.10 | 3d_short: 1.03 2d_mae_accel: 0.04 | 3d_mae_accel: 0.04 | 2d_short_accel: 0.02 | 3d_short_accel: 0.05 | loss_kp_2d_mae: 0.839 | loss_kp_3d_mae: 0.664 | loss_kp_2d_short: 0.902 | loss_kp_3d_short: 1.191 | loss_accel_2d_mae: 0.037 | loss_accel_3d_mae: 0.034 | loss_accel_2d_short: 0.020 | loss_accel_3d_short: 0.047 | loss_pose_mae: 0.584 | loss_pose_short: 1.086 | loss_shape_mae: 0.013 | loss_shape_short: 0.030 | data: 0.01 | forward: 0.06 | loss: 0.01 | backward: 0.13 | batch: 0.21 2023-06-21 15:34:01,552 (159/159) | batch: 543.7ms | Total: 0:00:54 | ETA: 0:00:01 2023-06-21 15:37:23,081 (1000/1000) | Total: 0:03:21 | ETA: 0:00:01 | loss: 4.13 | 2d: 0.97 | 3d: 0.55 2d_short: 1.05 | 3d_short: 0.97 2d_mae_accel: 0.04 | 3d_mae_accel: 0.04 | 2d_short_accel: 0.02 | 3d_short_accel: 0.05 | loss_kp_2d_mae: 0.834 | loss_kp_3d_mae: 0.476 | loss_kp_2d_short: 0.759 | loss_kp_3d_short: 0.859 | loss_accel_2d_mae: 0.036 | loss_accel_3d_mae: 0.035 | loss_accel_2d_short: 0.017 | loss_accel_3d_short: 0.034 | data: 0.01 | forward: 0.06 | loss: 0.01 | backward: 0.11 | batch: 0.19 2023-06-21 15:38:11,622 (159/159) | batch: 483.7ms | Total: 0:00:48 | ETA: 0:00:01 2023-06-21 15:41:32,101 (1000/1000) | Total: 0:03:20 | ETA: 0:00:01 | loss: 4.06 | 2d: 0.96 | 3d: 0.54 2d_short: 1.02 | 3d_short: 0.94 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.04 | loss_kp_2d_mae: 0.948 | loss_kp_3d_mae: 0.584 | loss_kp_2d_short: 1.051 | loss_kp_3d_short: 1.034 | loss_accel_2d_mae: 0.040 | loss_accel_3d_mae: 0.033 | loss_accel_2d_short: 0.015 | loss_accel_3d_short: 0.033 | data: 0.01 | forward: 0.06 | loss: 0.01 | backward: 0.11 | batch: 0.19 2023-06-21 15:42:20,900 (159/159) | batch: 486.2ms | Total: 0:00:48 | ETA: 0:00:01 2023-06-21 15:45:41,090 (1000/1000) | Total: 0:03:20 | ETA: 0:00:01 | loss: 3.87 | 2d: 0.94 | 3d: 0.52 2d_short: 0.96 | 3d_short: 0.90 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.03 | loss_kp_2d_mae: 0.929 | loss_kp_3d_mae: 0.661 | loss_kp_2d_short: 0.910 | loss_kp_3d_short: 1.311 | loss_accel_2d_mae: 0.039 | loss_accel_3d_mae: 0.039 | loss_accel_2d_short: 0.020 | loss_accel_3d_short: 0.030 | data: 0.01 | forward: 0.06 | loss: 0.01 | backward: 0.11 | batch: 0.19 2023-06-21 15:46:28,255 (159/159) | batch: 469.1ms | Total: 0:00:46 | ETA: 0:00:01 2023-06-21 15:49:49,585 (1000/1000) | Total: 0:03:21 | ETA: 0:00:01 | loss: 3.89 | 2d: 0.98 | 3d: 0.51 2d_short: 0.98 | 3d_short: 0.86 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.03 | loss_kp_2d_mae: 0.836 | loss_kp_3d_mae: 0.466 | loss_kp_2d_short: 0.887 | loss_kp_3d_short: 0.733 | loss_accel_2d_mae: 0.040 | loss_accel_3d_mae: 0.030 | loss_accel_2d_short: 0.019 | loss_accel_3d_short: 0.032 | data: 0.01 | forward: 0.06 | loss: 0.01 | backward: 0.12 | batch: 0.20 2023-06-21 15:50:38,940 (159/159) | batch: 491.8ms | Total: 0:00:49 | ETA: 0:00:01 2023-06-21 15:53:58,153 (1000/1000) | Total: 0:03:19 | ETA: 0:00:01 | loss: 3.76 | 2d: 0.96 | 3d: 0.50 2d_short: 0.95 | 3d_short: 0.84 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.03 | loss_kp_2d_mae: 0.872 | loss_kp_3d_mae: 0.648 | loss_kp_2d_short: 1.042 | loss_kp_3d_short: 1.116 | loss_accel_2d_mae: 0.035 | loss_accel_3d_mae: 0.037 | loss_accel_2d_short: 0.027 | loss_accel_3d_short: 0.027 | loss_pose_mae: 0.475 | loss_pose_short: 0.933 | loss_shape_mae: 0.011 | loss_shape_short: 0.015 | data: 0.02 | forward: 0.06 | loss: 0.01 | backward: 0.13 | batch: 0.22 2023-06-21 15:54:54,207 (159/159) | batch: 558.6ms | Total: 0:00:55 | ETA: 0:00:01 2023-06-21 15:58:10,721 (1000/1000) | Total: 0:03:16 | ETA: 0:00:01 | loss: 3.75 | 2d: 0.93 | 3d: 0.49 2d_short: 0.92 | 3d_short: 0.84 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.03 | loss_kp_2d_mae: 0.810 | loss_kp_3d_mae: 0.551 | loss_kp_2d_short: 0.688 | loss_kp_3d_short: 0.901 | loss_accel_2d_mae: 0.037 | loss_accel_3d_mae: 0.036 | loss_accel_2d_short: 0.019 | loss_accel_3d_short: 0.072 | loss_pose_mae: 0.637 | loss_pose_short: 1.224 | loss_shape_mae: 0.023 | loss_shape_short: 0.047 | data: 0.01 | forward: 0.06 | loss: 0.01 | backward: 0.13 | batch: 0.21 2023-06-21 15:59:06,383 (159/159) | batch: 554.3ms | Total: 0:00:55 | ETA: 0:00:01 2023-06-21 16:02:27,409 (1000/1000) | Total: 0:03:21 | ETA: 0:00:01 | loss: 3.64 | 2d: 0.94 | 3d: 0.48 2d_short: 0.91 | 3d_short: 0.79 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.03 | loss_kp_2d_mae: 0.865 | loss_kp_3d_mae: 0.346 | loss_kp_2d_short: 0.897 | loss_kp_3d_short: 0.625 | loss_accel_2d_mae: 0.042 | loss_accel_3d_mae: 0.028 | loss_accel_2d_short: 0.019 | loss_accel_3d_short: 0.020 | loss_pose_mae: 0.334 | loss_pose_short: 0.614 | loss_shape_mae: 0.031 | loss_shape_short: 0.062 | data: 0.01 | forward: 0.06 | loss: 0.01 | backward: 0.13 | batch: 0.21 2023-06-21 16:03:17,878 (159/159) | batch: 501.6ms | Total: 0:00:50 | ETA: 0:00:01 2023-06-21 16:06:41,985 (1000/1000) | Total: 0:03:24 | ETA: 0:00:01 | loss: 3.57 | 2d: 0.93 | 3d: 0.47 2d_short: 0.85 | 3d_short: 0.78 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.03 | loss_kp_2d_mae: 0.973 | loss_kp_3d_mae: 0.449 | loss_kp_2d_short: 0.867 | loss_kp_3d_short: 0.707 | loss_accel_2d_mae: 0.042 | loss_accel_3d_mae: 0.034 | loss_accel_2d_short: 0.014 | loss_accel_3d_short: 0.033 | loss_pose_mae: 0.690 | loss_pose_short: 1.374 | loss_shape_mae: 0.018 | loss_shape_short: 0.037 | data: 0.01 | forward: 0.06 | loss: 0.01 | backward: 0.13 | batch: 0.21 2023-06-21 16:07:33,325 (159/159) | batch: 511.6ms | Total: 0:00:51 | ETA: 0:00:01 2023-06-21 16:10:57,971 (1000/1000) | Total: 0:03:24 | ETA: 0:00:01 | loss: 3.53 | 2d: 0.93 | 3d: 0.46 2d_short: 0.88 | 3d_short: 0.76 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.02 | loss_kp_2d_mae: 0.852 | loss_kp_3d_mae: 0.358 | loss_kp_2d_short: 0.711 | loss_kp_3d_short: 0.610 | loss_accel_2d_mae: 0.037 | loss_accel_3d_mae: 0.029 | loss_accel_2d_short: 0.016 | loss_accel_3d_short: 0.019 | data: 0.01 | forward: 0.06 | loss: 0.01 | backward: 0.11 | batch: 0.19 2023-06-21 16:11:45,996 (159/159) | batch: 478.0ms | Total: 0:00:47 | ETA: 0:00:01 2023-06-21 16:15:06,069 (1000/1000) | Total: 0:03:20 | ETA: 0:00:01 | loss: 3.45 | 2d: 0.92 | 3d: 0.46 2d_short: 0.86 | 3d_short: 0.75 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.02 | loss_kp_2d_mae: 0.995 | loss_kp_3d_mae: 0.375 | loss_kp_2d_short: 1.229 | loss_kp_3d_short: 0.627 | loss_accel_2d_mae: 0.035 | loss_accel_3d_mae: 0.026 | loss_accel_2d_short: 0.016 | loss_accel_3d_short: 0.016 | data: 0.01 | forward: 0.06 | loss: 0.01 | backward: 0.11 | batch: 0.19 2023-06-21 16:15:55,027 (159/159) | batch: 487.8ms | Total: 0:00:48 | ETA: 0:00:01 2023-06-21 16:19:12,526 (1000/1000) | Total: 0:03:17 | ETA: 0:00:01 | loss: 3.42 | 2d: 0.91 | 3d: 0.45 2d_short: 0.84 | 3d_short: 0.73 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.02 | loss_kp_2d_mae: 0.807 | loss_kp_3d_mae: 0.329 | loss_kp_2d_short: 0.942 | loss_kp_3d_short: 0.559 | loss_accel_2d_mae: 0.036 | loss_accel_3d_mae: 0.031 | loss_accel_2d_short: 0.011 | loss_accel_3d_short: 0.019 | data: 0.01 | forward: 0.06 | loss: 0.01 | backward: 0.11 | batch: 0.19 2023-06-21 16:20:02,416 (159/159) | batch: 495.7ms | Total: 0:00:49 | ETA: 0:00:01 2023-06-21 16:23:23,436 (1000/1000) | Total: 0:03:21 | ETA: 0:00:01 | loss: 3.42 | 2d: 0.91 | 3d: 0.45 2d_short: 0.82 | 3d_short: 0.74 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.02 | loss_kp_2d_mae: 0.845 | loss_kp_3d_mae: 0.401 | loss_kp_2d_short: 0.629 | loss_kp_3d_short: 0.611 | loss_accel_2d_mae: 0.037 | loss_accel_3d_mae: 0.028 | loss_accel_2d_short: 0.014 | loss_accel_3d_short: 0.017 | data: 0.01 | forward: 0.06 | loss: 0.01 | backward: 0.11 | batch: 0.19 2023-06-21 16:24:16,044 (159/159) | batch: 523.8ms | Total: 0:00:52 | ETA: 0:00:01 2023-06-21 16:24:36,112 Epoch 24, MPJPE: 83.1617, PA-MPJPE: 56.6682, ACCEL: 4.6006, PVE: 100.4341, ACCEL_ERR: 9.1271, 2023-06-21 16:24:36,113 Epoch 25 performance: 56.6682 2023-06-21 16:24:38,215 Best performance achived, saving it! 2023-06-21 16:28:03,550 (1000/1000) | Total: 0:03:23 | ETA: 0:00:01 | loss: 3.36 | 2d: 0.91 | 3d: 0.44 2d_short: 0.80 | 3d_short: 0.70 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.02 | loss_kp_2d_mae: 0.829 | loss_kp_3d_mae: 0.343 | loss_kp_2d_short: 0.642 | loss_kp_3d_short: 0.582 | loss_accel_2d_mae: 0.041 | loss_accel_3d_mae: 0.027 | loss_accel_2d_short: 0.019 | loss_accel_3d_short: 0.015 | data: 0.01 | forward: 0.06 | loss: 0.01 | backward: 0.12 | batch: 0.19 2023-06-21 16:28:58,130 (159/159) | batch: 543.9ms | Total: 0:00:54 | ETA: 0:00:01 2023-06-21 16:30:01,396 Epoch 25, MPJPE: 82.2247, PA-MPJPE: 55.9238, ACCEL: 5.0878, PVE: 98.9677, ACCEL_ERR: 9.5465, 2023-06-21 16:30:01,398 Epoch 26 performance: 55.9238 2023-06-21 16:30:03,230 Best performance achived, saving it! 2023-06-21 16:33:24,926 (1000/1000) | Total: 0:03:19 | ETA: 0:00:01 | loss: 3.34 | 2d: 0.90 | 3d: 0.43 2d_short: 0.82 | 3d_short: 0.69 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.02 | loss_kp_2d_mae: 0.862 | loss_kp_3d_mae: 0.374 | loss_kp_2d_short: 0.830 | loss_kp_3d_short: 0.644 | loss_accel_2d_mae: 0.040 | loss_accel_3d_mae: 0.022 | loss_accel_2d_short: 0.017 | loss_accel_3d_short: 0.012 | data: 0.01 | forward: 0.06 | loss: 0.01 | backward: 0.11 | batch: 0.19 2023-06-21 16:34:13,442 (159/159) | batch: 482.6ms | Total: 0:00:48 | ETA: 0:00:01 2023-06-21 16:34:55,904 Epoch 26, MPJPE: 80.5645, PA-MPJPE: 55.4776, ACCEL: 4.8804, PVE: 97.7136, ACCEL_ERR: 9.3233, 2023-06-21 16:34:55,905 Epoch 27 performance: 55.4776 2023-06-21 16:34:58,071 Best performance achived, saving it! 2023-06-21 16:38:20,442 (1000/1000) | Total: 0:03:19 | ETA: 0:00:01 | loss: 3.21 | 2d: 0.91 | 3d: 0.43 2d_short: 0.77 | 3d_short: 0.68 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.02 | loss_kp_2d_mae: 0.837 | loss_kp_3d_mae: 0.389 | loss_kp_2d_short: 0.662 | loss_kp_3d_short: 0.669 | loss_accel_2d_mae: 0.036 | loss_accel_3d_mae: 0.030 | loss_accel_2d_short: 0.014 | loss_accel_3d_short: 0.016 | data: 0.01 | forward: 0.06 | loss: 0.01 | backward: 0.11 | batch: 0.19 2023-06-21 16:39:11,973 (159/159) | batch: 513.2ms | Total: 0:00:51 | ETA: 0:00:01 2023-06-21 16:40:14,737 Epoch 27, MPJPE: 83.4650, PA-MPJPE: 55.9020, ACCEL: 4.6230, PVE: 102.6521, ACCEL_ERR: 9.1207, 2023-06-21 16:40:14,739 Epoch 28 performance: 55.9020 2023-06-21 16:43:36,107 (1000/1000) | Total: 0:03:19 | ETA: 0:00:01 | loss: 3.26 | 2d: 0.89 | 3d: 0.43 2d_short: 0.76 | 3d_short: 0.68 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.02 | loss_kp_2d_mae: 0.892 | loss_kp_3d_mae: 0.398 | loss_kp_2d_short: 0.905 | loss_kp_3d_short: 0.587 | loss_accel_2d_mae: 0.043 | loss_accel_3d_mae: 0.028 | loss_accel_2d_short: 0.020 | loss_accel_3d_short: 0.017 | data: 0.01 | forward: 0.06 | loss: 0.01 | backward: 0.11 | batch: 0.19 2023-06-21 16:44:27,991 (159/159) | batch: 514.9ms | Total: 0:00:51 | ETA: 0:00:01 2023-06-21 16:45:50,605 Epoch 28, MPJPE: 82.1861, PA-MPJPE: 56.8779, ACCEL: 4.4002, PVE: 99.9550, ACCEL_ERR: 9.0073, 2023-06-21 16:45:50,606 Epoch 29 performance: 56.8779 2023-06-21 16:49:17,417 (1000/1000) | Total: 0:03:24 | ETA: 0:00:01 | loss: 3.24 | 2d: 0.91 | 3d: 0.42 2d_short: 0.78 | 3d_short: 0.67 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.02 | loss_kp_2d_mae: 0.872 | loss_kp_3d_mae: 0.494 | loss_kp_2d_short: 0.502 | loss_kp_3d_short: 0.794 | loss_accel_2d_mae: 0.035 | loss_accel_3d_mae: 0.036 | loss_accel_2d_short: 0.011 | loss_accel_3d_short: 0.022 | data: 0.01 | forward: 0.06 | loss: 0.01 | backward: 0.11 | batch: 0.19 2023-06-21 16:50:11,300 (159/159) | batch: 537.0ms | Total: 0:00:53 | ETA: 0:00:01 2023-06-21 16:51:05,900 Epoch 29, MPJPE: 81.8566, PA-MPJPE: 54.8696, ACCEL: 4.6553, PVE: 98.3940, ACCEL_ERR: 9.1935, 2023-06-21 16:51:05,902 Epoch 30 performance: 54.8696 2023-06-21 16:51:08,042 Best performance achived, saving it! 2023-06-21 16:54:34,727 (1000/1000) | Total: 0:03:24 | ETA: 0:00:01 | loss: 3.18 | 2d: 0.90 | 3d: 0.41 2d_short: 0.78 | 3d_short: 0.64 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.02 | loss_kp_2d_mae: 0.752 | loss_kp_3d_mae: 0.373 | loss_kp_2d_short: 0.553 | loss_kp_3d_short: 0.565 | loss_accel_2d_mae: 0.039 | loss_accel_3d_mae: 0.024 | loss_accel_2d_short: 0.018 | loss_accel_3d_short: 0.015 | data: 0.01 | forward: 0.06 | loss: 0.01 | backward: 0.11 | batch: 0.18 2023-06-21 16:55:24,265 (159/159) | batch: 493.7ms | Total: 0:00:49 | ETA: 0:00:01 2023-06-21 16:56:02,665 Epoch 30, MPJPE: 80.3737, PA-MPJPE: 54.5706, ACCEL: 4.4563, PVE: 97.4597, ACCEL_ERR: 8.9757, 2023-06-21 16:56:02,667 Epoch 31 performance: 54.5706 2023-06-21 16:56:04,729 Best performance achived, saving it! 2023-06-21 16:59:26,333 (1000/1000) | Total: 0:03:19 | ETA: 0:00:01 | loss: 3.13 | 2d: 0.88 | 3d: 0.41 2d_short: 0.73 | 3d_short: 0.65 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.02 | loss_kp_2d_mae: 0.901 | loss_kp_3d_mae: 0.426 | loss_kp_2d_short: 0.765 | loss_kp_3d_short: 0.661 | loss_accel_2d_mae: 0.038 | loss_accel_3d_mae: 0.031 | loss_accel_2d_short: 0.017 | loss_accel_3d_short: 0.017 | data: 0.01 | forward: 0.06 | loss: 0.01 | backward: 0.11 | batch: 0.19 2023-06-21 17:00:16,130 (159/159) | batch: 495.3ms | Total: 0:00:49 | ETA: 0:00:01 2023-06-21 17:00:48,359 Epoch 31, MPJPE: 82.3960, PA-MPJPE: 56.3907, ACCEL: 4.5274, PVE: 99.6452, ACCEL_ERR: 9.0197, 2023-06-21 17:00:48,360 Epoch 32 performance: 56.3907 2023-06-21 17:04:07,991 (1000/1000) | Total: 0:03:17 | ETA: 0:00:01 | loss: 3.10 | 2d: 0.88 | 3d: 0.40 2d_short: 0.75 | 3d_short: 0.62 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.02 | loss_kp_2d_mae: 0.804 | loss_kp_3d_mae: 0.550 | loss_kp_2d_short: 0.746 | loss_kp_3d_short: 0.775 | loss_accel_2d_mae: 0.038 | loss_accel_3d_mae: 0.038 | loss_accel_2d_short: 0.017 | loss_accel_3d_short: 0.023 | data: 0.01 | forward: 0.06 | loss: 0.01 | backward: 0.11 | batch: 0.19 2023-06-21 17:05:00,001 (159/159) | batch: 517.4ms | Total: 0:00:51 | ETA: 0:00:01 2023-06-21 17:05:28,754 Epoch 32, MPJPE: 81.6901, PA-MPJPE: 54.3639, ACCEL: 4.3576, PVE: 98.3393, ACCEL_ERR: 8.9453, 2023-06-21 17:05:28,756 Epoch 33 performance: 54.3639 2023-06-21 17:05:31,490 Best performance achived, saving it! 2023-06-21 17:08:57,225 (1000/1000) | Total: 0:03:22 | ETA: 0:00:01 | loss: 3.10 | 2d: 0.91 | 3d: 0.40 2d_short: 0.72 | 3d_short: 0.62 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.02 | loss_kp_2d_mae: 0.732 | loss_kp_3d_mae: 0.427 | loss_kp_2d_short: 0.508 | loss_kp_3d_short: 0.713 | loss_accel_2d_mae: 0.036 | loss_accel_3d_mae: 0.025 | loss_accel_2d_short: 0.012 | loss_accel_3d_short: 0.015 | data: 0.01 | forward: 0.06 | loss: 0.01 | backward: 0.11 | batch: 0.19 2023-06-21 17:09:49,541 (159/159) | batch: 521.0ms | Total: 0:00:52 | ETA: 0:00:01 2023-06-21 17:11:11,353 Epoch 33, MPJPE: 82.9025, PA-MPJPE: 55.8159, ACCEL: 4.2445, PVE: 100.9925, ACCEL_ERR: 8.8890, 2023-06-21 17:11:11,354 Epoch 34 performance: 55.8159 2023-06-21 17:14:32,830 (1000/1000) | Total: 0:03:19 | ETA: 0:00:01 | loss: 3.05 | 2d: 0.90 | 3d: 0.39 2d_short: 0.72 | 3d_short: 0.61 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.02 | loss_kp_2d_mae: 0.893 | loss_kp_3d_mae: 0.335 | loss_kp_2d_short: 0.900 | loss_kp_3d_short: 0.506 | loss_accel_2d_mae: 0.039 | loss_accel_3d_mae: 0.025 | loss_accel_2d_short: 0.020 | loss_accel_3d_short: 0.014 | data: 0.01 | forward: 0.06 | loss: 0.01 | backward: 0.11 | batch: 0.19 2023-06-21 17:15:22,631 (159/159) | batch: 495.8ms | Total: 0:00:49 | ETA: 0:00:01 2023-06-21 17:16:04,150 Epoch 34, MPJPE: 81.0894, PA-MPJPE: 55.4000, ACCEL: 4.5489, PVE: 98.4253, ACCEL_ERR: 9.0010, 2023-06-21 17:16:04,152 Epoch 35 performance: 55.4000 2023-06-21 17:19:24,078 (1000/1000) | Total: 0:03:18 | ETA: 0:00:01 | loss: 2.97 | 2d: 0.87 | 3d: 0.39 2d_short: 0.69 | 3d_short: 0.60 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.02 | loss_kp_2d_mae: 0.808 | loss_kp_3d_mae: 0.325 | loss_kp_2d_short: 0.574 | loss_kp_3d_short: 0.523 | loss_accel_2d_mae: 0.037 | loss_accel_3d_mae: 0.024 | loss_accel_2d_short: 0.012 | loss_accel_3d_short: 0.012 | data: 0.01 | forward: 0.06 | loss: 0.01 | backward: 0.11 | batch: 0.19 2023-06-21 17:20:14,002 (159/159) | batch: 496.1ms | Total: 0:00:49 | ETA: 0:00:01 2023-06-21 17:21:36,305 Epoch 35, MPJPE: 78.9426, PA-MPJPE: 54.2459, ACCEL: 4.3955, PVE: 96.3093, ACCEL_ERR: 8.8706, 2023-06-21 17:21:36,307 Epoch 36 performance: 54.2459 2023-06-21 17:21:38,133 Best performance achived, saving it! 2023-06-21 17:24:59,999 (1000/1000) | Total: 0:03:19 | ETA: 0:00:01 | loss: 3.00 | 2d: 0.88 | 3d: 0.39 2d_short: 0.69 | 3d_short: 0.60 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.02 | loss_kp_2d_mae: 0.860 | loss_kp_3d_mae: 0.267 | loss_kp_2d_short: 0.825 | loss_kp_3d_short: 0.420 | loss_accel_2d_mae: 0.037 | loss_accel_3d_mae: 0.027 | loss_accel_2d_short: 0.014 | loss_accel_3d_short: 0.014 | loss_pose_mae: 0.218 | loss_pose_short: 0.327 | loss_shape_mae: 0.005 | loss_shape_short: 0.015 | data: 0.01 | forward: 0.06 | loss: 0.01 | backward: 0.13 | batch: 0.21 2023-06-21 17:25:48,320 (159/159) | batch: 480.1ms | Total: 0:00:48 | ETA: 0:00:01 2023-06-21 17:26:06,815 Epoch 36, MPJPE: 85.3215, PA-MPJPE: 55.0262, ACCEL: 4.4081, PVE: 102.3615, ACCEL_ERR: 8.9078, 2023-06-21 17:26:06,816 Epoch 37 performance: 55.0262 2023-06-21 17:29:28,770 (1000/1000) | Total: 0:03:19 | ETA: 0:00:01 | loss: 3.03 | 2d: 0.90 | 3d: 0.39 2d_short: 0.71 | 3d_short: 0.59 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.02 | loss_kp_2d_mae: 0.800 | loss_kp_3d_mae: 0.392 | loss_kp_2d_short: 0.806 | loss_kp_3d_short: 0.650 | loss_accel_2d_mae: 0.041 | loss_accel_3d_mae: 0.028 | loss_accel_2d_short: 0.014 | loss_accel_3d_short: 0.015 | data: 0.01 | forward: 0.06 | loss: 0.01 | backward: 0.11 | batch: 0.19 2023-06-21 17:30:22,361 (159/159) | batch: 534.1ms | Total: 0:00:53 | ETA: 0:00:01 2023-06-21 17:30:41,546 Epoch 37, MPJPE: 80.8679, PA-MPJPE: 53.9903, ACCEL: 4.3680, PVE: 97.7805, ACCEL_ERR: 8.9070, 2023-06-21 17:30:41,548 Epoch 38 performance: 53.9903 2023-06-21 17:30:43,343 Best performance achived, saving it! 2023-06-21 17:34:07,133 (1000/1000) | Total: 0:03:21 | ETA: 0:00:01 | loss: 2.97 | 2d: 0.89 | 3d: 0.38 2d_short: 0.69 | 3d_short: 0.58 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.02 | loss_kp_2d_mae: 0.761 | loss_kp_3d_mae: 0.511 | loss_kp_2d_short: 0.615 | loss_kp_3d_short: 0.864 | loss_accel_2d_mae: 0.035 | loss_accel_3d_mae: 0.029 | loss_accel_2d_short: 0.012 | loss_accel_3d_short: 0.017 | data: 0.03 | forward: 0.07 | loss: 0.01 | backward: 0.12 | batch: 0.23 2023-06-21 17:34:58,813 (159/159) | batch: 515.1ms | Total: 0:00:51 | ETA: 0:00:01 2023-06-21 17:36:19,426 Epoch 38, MPJPE: 80.6799, PA-MPJPE: 54.7795, ACCEL: 4.1677, PVE: 97.6772, ACCEL_ERR: 8.7756, 2023-06-21 17:36:19,428 Epoch 39 performance: 54.7795 2023-06-21 17:39:35,898 (1000/1000) | Total: 0:03:14 | ETA: 0:00:01 | loss: 2.85 | 2d: 0.86 | 3d: 0.37 2d_short: 0.66 | 3d_short: 0.57 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.02 | loss_kp_2d_mae: 0.902 | loss_kp_3d_mae: 0.401 | loss_kp_2d_short: 0.788 | loss_kp_3d_short: 0.571 | loss_accel_2d_mae: 0.038 | loss_accel_3d_mae: 0.031 | loss_accel_2d_short: 0.016 | loss_accel_3d_short: 0.016 | loss_pose_mae: 0.476 | loss_pose_short: 0.820 | loss_shape_mae: 0.011 | loss_shape_short: 0.009 | data: 0.01 | forward: 0.06 | loss: 0.01 | backward: 0.13 | batch: 0.20 2023-06-21 17:40:26,124 (159/159) | batch: 499.4ms | Total: 0:00:49 | ETA: 0:00:01 2023-06-21 17:40:43,566 Epoch 39, MPJPE: 82.1512, PA-MPJPE: 54.2897, ACCEL: 4.3114, PVE: 98.9485, ACCEL_ERR: 8.8916, 2023-06-21 17:40:43,567 Epoch 40 performance: 54.2897 2023-06-21 17:44:01,251 (1000/1000) | Total: 0:03:15 | ETA: 0:00:01 | loss: 2.89 | 2d: 0.87 | 3d: 0.37 2d_short: 0.68 | 3d_short: 0.57 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.02 | loss_kp_2d_mae: 0.775 | loss_kp_3d_mae: 0.298 | loss_kp_2d_short: 0.504 | loss_kp_3d_short: 0.493 | loss_accel_2d_mae: 0.036 | loss_accel_3d_mae: 0.026 | loss_accel_2d_short: 0.014 | loss_accel_3d_short: 0.014 | loss_pose_mae: 0.536 | loss_pose_short: 0.879 | loss_shape_mae: 0.004 | loss_shape_short: 0.003 | data: 0.02 | forward: 0.06 | loss: 0.01 | backward: 0.13 | batch: 0.22 2023-06-21 17:44:51,769 (159/159) | batch: 502.2ms | Total: 0:00:50 | ETA: 0:00:01 2023-06-21 17:45:10,267 Epoch 40, MPJPE: 79.0949, PA-MPJPE: 53.9040, ACCEL: 4.1644, PVE: 96.0094, ACCEL_ERR: 8.7512, 2023-06-21 17:45:10,268 Epoch 41 performance: 53.9040 2023-06-21 17:45:12,270 Best performance achived, saving it! 2023-06-21 17:48:38,265 (1000/1000) | Total: 0:03:23 | ETA: 0:00:01 | loss: 2.91 | 2d: 0.87 | 3d: 0.38 2d_short: 0.65 | 3d_short: 0.57 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.01 | loss_kp_2d_mae: 0.813 | loss_kp_3d_mae: 0.318 | loss_kp_2d_short: 0.623 | loss_kp_3d_short: 0.463 | loss_accel_2d_mae: 0.037 | loss_accel_3d_mae: 0.024 | loss_accel_2d_short: 0.014 | loss_accel_3d_short: 0.012 | data: 0.02 | forward: 0.06 | loss: 0.01 | backward: 0.11 | batch: 0.19 2023-06-21 17:49:35,092 (159/159) | batch: 566.3ms | Total: 0:00:56 | ETA: 0:00:01 2023-06-21 17:49:58,706 Epoch 41, MPJPE: 78.4091, PA-MPJPE: 53.3314, ACCEL: 4.0519, PVE: 94.9660, ACCEL_ERR: 8.6993, 2023-06-21 17:49:58,708 Epoch 42 performance: 53.3314 2023-06-21 17:50:00,402 Best performance achived, saving it! 2023-06-21 17:53:22,730 (1000/1000) | Total: 0:03:20 | ETA: 0:00:01 | loss: 2.87 | 2d: 0.87 | 3d: 0.37 2d_short: 0.66 | 3d_short: 0.56 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.02 | loss_kp_2d_mae: 0.761 | loss_kp_3d_mae: 0.312 | loss_kp_2d_short: 0.635 | loss_kp_3d_short: 0.373 | loss_accel_2d_mae: 0.037 | loss_accel_3d_mae: 0.023 | loss_accel_2d_short: 0.018 | loss_accel_3d_short: 0.011 | data: 0.01 | forward: 0.06 | loss: 0.01 | backward: 0.11 | batch: 0.19 2023-06-21 17:54:17,380 (159/159) | batch: 543.9ms | Total: 0:00:54 | ETA: 0:00:01 2023-06-21 17:55:40,023 Epoch 42, MPJPE: 79.5485, PA-MPJPE: 54.4305, ACCEL: 4.1586, PVE: 96.7107, ACCEL_ERR: 8.7409, 2023-06-21 17:55:40,024 Epoch 43 performance: 54.4305 2023-06-21 17:58:59,144 (1000/1000) | Total: 0:03:17 | ETA: 0:00:01 | loss: 2.85 | 2d: 0.87 | 3d: 0.37 2d_short: 0.65 | 3d_short: 0.56 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.01 | loss_kp_2d_mae: 0.820 | loss_kp_3d_mae: 0.304 | loss_kp_2d_short: 0.549 | loss_kp_3d_short: 0.377 | loss_accel_2d_mae: 0.042 | loss_accel_3d_mae: 0.024 | loss_accel_2d_short: 0.021 | loss_accel_3d_short: 0.014 | loss_pose_mae: 0.321 | loss_pose_short: 0.541 | loss_shape_mae: 0.003 | loss_shape_short: 0.006 | data: 0.01 | forward: 0.06 | loss: 0.01 | backward: 0.13 | batch: 0.21 2023-06-21 17:59:49,247 (159/159) | batch: 498.2ms | Total: 0:00:49 | ETA: 0:00:01 2023-06-21 18:00:27,191 Epoch 43, MPJPE: 79.8169, PA-MPJPE: 54.1486, ACCEL: 4.0919, PVE: 97.1917, ACCEL_ERR: 8.6948, 2023-06-21 18:00:27,193 Epoch 44 performance: 54.1486 2023-06-21 18:03:49,211 (1000/1000) | Total: 0:03:19 | ETA: 0:00:01 | loss: 2.89 | 2d: 0.88 | 3d: 0.37 2d_short: 0.65 | 3d_short: 0.56 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.01 | loss_kp_2d_mae: 0.840 | loss_kp_3d_mae: 0.288 | loss_kp_2d_short: 0.634 | loss_kp_3d_short: 0.396 | loss_accel_2d_mae: 0.037 | loss_accel_3d_mae: 0.027 | loss_accel_2d_short: 0.019 | loss_accel_3d_short: 0.020 | loss_pose_mae: 0.624 | loss_pose_short: 1.152 | loss_shape_mae: 0.027 | loss_shape_short: 0.048 | data: 0.01 | forward: 0.06 | loss: 0.01 | backward: 0.13 | batch: 0.22 2023-06-21 18:04:41,782 (159/159) | batch: 523.5ms | Total: 0:00:52 | ETA: 0:00:01 2023-06-21 18:05:16,192 Epoch 44, MPJPE: 79.6147, PA-MPJPE: 53.7187, ACCEL: 4.1489, PVE: 96.7591, ACCEL_ERR: 8.7309, 2023-06-21 18:05:16,193 Epoch 45 performance: 53.7187 2023-06-21 18:08:34,280 (1000/1000) | Total: 0:03:16 | ETA: 0:00:01 | loss: 2.80 | 2d: 0.86 | 3d: 0.36 2d_short: 0.64 | 3d_short: 0.55 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.01 | loss_kp_2d_mae: 0.785 | loss_kp_3d_mae: 0.375 | loss_kp_2d_short: 0.537 | loss_kp_3d_short: 0.645 | loss_accel_2d_mae: 0.035 | loss_accel_3d_mae: 0.027 | loss_accel_2d_short: 0.008 | loss_accel_3d_short: 0.015 | data: 0.01 | forward: 0.06 | loss: 0.01 | backward: 0.12 | batch: 0.20 2023-06-21 18:09:30,240 (159/159) | batch: 556.5ms | Total: 0:00:55 | ETA: 0:00:01 2023-06-21 18:10:58,546 Epoch 45, MPJPE: 78.1704, PA-MPJPE: 53.4231, ACCEL: 4.1376, PVE: 94.4435, ACCEL_ERR: 8.7291, 2023-06-21 18:10:58,547 Epoch 46 performance: 53.4231 2023-06-21 18:14:24,246 (1000/1000) | Total: 0:03:24 | ETA: 0:00:01 | loss: 2.81 | 2d: 0.86 | 3d: 0.37 2d_short: 0.64 | 3d_short: 0.55 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.01 | loss_kp_2d_mae: 0.805 | loss_kp_3d_mae: 0.390 | loss_kp_2d_short: 0.621 | loss_kp_3d_short: 0.593 | loss_accel_2d_mae: 0.036 | loss_accel_3d_mae: 0.032 | loss_accel_2d_short: 0.012 | loss_accel_3d_short: 0.017 | data: 0.01 | forward: 0.06 | loss: 0.01 | backward: 0.11 | batch: 0.19 2023-06-21 18:15:15,965 (159/159) | batch: 515.2ms | Total: 0:00:51 | ETA: 0:00:01 2023-06-21 18:15:36,262 Epoch 46, MPJPE: 79.1758, PA-MPJPE: 53.8136, ACCEL: 4.0931, PVE: 96.5383, ACCEL_ERR: 8.7006, 2023-06-21 18:15:36,263 Epoch 47 performance: 53.8136 2023-06-21 18:18:53,228 (1000/1000) | Total: 0:03:14 | ETA: 0:00:01 | loss: 2.79 | 2d: 0.87 | 3d: 0.36 2d_short: 0.63 | 3d_short: 0.54 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.01 | loss_kp_2d_mae: 0.849 | loss_kp_3d_mae: 0.328 | loss_kp_2d_short: 0.526 | loss_kp_3d_short: 0.513 | loss_accel_2d_mae: 0.039 | loss_accel_3d_mae: 0.031 | loss_accel_2d_short: 0.015 | loss_accel_3d_short: 0.014 | data: 0.01 | forward: 0.06 | loss: 0.01 | backward: 0.12 | batch: 0.20 2023-06-21 18:19:47,527 (159/159) | batch: 539.9ms | Total: 0:00:53 | ETA: 0:00:01 2023-06-21 18:20:41,463 Epoch 47, MPJPE: 79.0528, PA-MPJPE: 53.9905, ACCEL: 4.1099, PVE: 96.3417, ACCEL_ERR: 8.6954, 2023-06-21 18:20:41,465 Epoch 48 performance: 53.9905 2023-06-21 18:24:03,547 (1000/1000) | Total: 0:03:20 | ETA: 0:00:01 | loss: 2.84 | 2d: 0.87 | 3d: 0.36 2d_short: 0.63 | 3d_short: 0.55 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.02 | loss_kp_2d_mae: 0.735 | loss_kp_3d_mae: 0.379 | loss_kp_2d_short: 0.559 | loss_kp_3d_short: 0.564 | loss_accel_2d_mae: 0.034 | loss_accel_3d_mae: 0.026 | loss_accel_2d_short: 0.015 | loss_accel_3d_short: 0.012 | data: 0.02 | forward: 0.06 | loss: 0.01 | backward: 0.12 | batch: 0.20 2023-06-21 18:24:55,022 (159/159) | batch: 513.0ms | Total: 0:00:51 | ETA: 0:00:01 2023-06-21 18:26:19,581 Epoch 48, MPJPE: 78.3206, PA-MPJPE: 53.4186, ACCEL: 4.1618, PVE: 95.2836, ACCEL_ERR: 8.7202, 2023-06-21 18:26:19,583 Epoch 49 performance: 53.4186 2023-06-21 18:29:42,090 (1000/1000) | Total: 0:03:20 | ETA: 0:00:01 | loss: 2.78 | 2d: 0.87 | 3d: 0.36 2d_short: 0.62 | 3d_short: 0.55 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.01 | loss_kp_2d_mae: 0.741 | loss_kp_3d_mae: 0.330 | loss_kp_2d_short: 0.481 | loss_kp_3d_short: 0.399 | loss_accel_2d_mae: 0.036 | loss_accel_3d_mae: 0.030 | loss_accel_2d_short: 0.015 | loss_accel_3d_short: 0.017 | loss_pose_mae: 0.089 | loss_pose_short: 0.172 | loss_shape_mae: 0.004 | loss_shape_short: 0.007 | data: 0.02 | forward: 0.07 | loss: 0.01 | backward: 0.14 | batch: 0.23 2023-06-21 18:30:31,759 (159/159) | batch: 493.8ms | Total: 0:00:49 | ETA: 0:00:01 2023-06-21 18:30:50,119 Epoch 49, MPJPE: 78.7599, PA-MPJPE: 53.5207, ACCEL: 4.1466, PVE: 95.6246, ACCEL_ERR: 8.7303, 2023-06-21 18:30:50,120 Epoch 50 performance: 53.5207

sxl142 commented 1 year ago

can you provide your reproduction results? Are the results significantly different from ours?

1324833746 commented 1 year ago

Previously, I found that the version of PyTorch was not consistent with yours, which led to a slower convergence speed. When I set the number of training epochs to 55, I was able to achieve a PA-MPJPE of 50.9. Later, I replicated the same environment and ran it for 50 epochs. The 49th epoch was chosen as the best model, with a test result of PA-MPJPE 52. I saved the model from the 42nd epoch, which resulted in a PA-MPJPE of 51.0. Below is the training log：

2023-07-25 15:06:14,552 GPU name -> NVIDIA TITAN RTX 2023-07-25 15:06:14,553 GPU feat -> _CudaDeviceProperties(name='NVIDIA TITAN RTX', major=7, minor=5, total_memory=24209MB, multi_processor_count=72) 2023-07-25 15:06:14,554 {'CUDNN': CfgNode({'BENCHMARK': True, 'DETERMINISTIC': False, 'ENABLED': True}), 'DATASET': CfgNode({'SEQLEN': 16, 'OVERLAP': 0.5}), 'DEBUG': False, 'DEBUG_FREQ': 5, 'DEVICE': 'cuda', 'EXP_NAME': 'table1_3dpw_exp', 'LOGDIR': '/home/xyh/project/GLot/exp_dir/experiments/25-07-2023_15-06-14_table1_3dpw_exp', 'LOSS': {'D_MOTION_LOSS_W': 0.0, 'KP_2D_W': 300.0, 'KP_3D_W': 300.0, 'POSE_W': 60.0, 'SHAPE_W': 0.06, 'use_accel': False, 'vel_or_accel_2d_weight': 10.0, 'vel_or_accel_3d_weight': 100.0}, 'MODEL': {'MODEL_NAME': 'GLoT', 'atten_drop': 0.0, 'd_model': 512, 'drop_path_r': 0.2, 'drop_reg_short': 0.25, 'dropout': 0.1, 'mask_ratio': 0.5, 'n_layers': 2, 'num_head': 8, 'short_atten_drop': 0.0, 'short_d_model': 256, 'short_drop_path_r': 0.2, 'short_dropout': 0.1, 'short_n_layers': 3, 'short_num_head': 8, 'stride_short': 4}, 'NUM_WORKERS': 16, 'OUTPUT_DIR': '/home/xyh/project/GLot/exp_dir/experiments', 'SEED_VALUE': 1, 'TITLE': 'repr_table4_3dpw_model', 'TRAIN': {'BATCH_SIZE': 64, 'DATASETS_2D': ['Insta'], 'DATASETS_3D': ['ThreeDPW', 'MPII3D', 'Human36M'], 'DATASET_EVAL': 'ThreeDPW', 'DATA_2D_RATIO': 0.6, 'END_EPOCH': 50, 'GEN_LR': 0.0001, 'GEN_MOMENTUM': 0.9, 'GEN_OPTIM': 'Adam', 'GEN_WD': 0.0, 'LR_PATIENCE': 5, 'MOT_DISCR': {'ATT': {'DROPOUT': 0.2, 'LAYERS': 3, 'SIZE': 1024}, 'FEATURE_POOL': 'attention', 'HIDDEN_SIZE': 1024, 'LR': 0.0001, 'MOMENTUM': 0.9, 'NUM_LAYERS': 2, 'OPTIM': 'Adam', 'UPDATE_STEPS': 1, 'WD': 0.0001}, 'NUM_ITERS_PER_EPOCH': 1000, 'OVERLAP': 0.0, 'PRETRAINED': '/home/xyh/project/GLot/exp_dir/experiments/24-07-2023_17-34-38_table1_3dpw_exp/epoch50_checkpoint.pth.tar', 'PRETRAINED_REGRESSOR': '/home/xyh/data/base_data/spin_model_checkpoint.pth.tar', 'RESUME': '', 'START_EPOCH': 0, 'val_epoch': 25}, 'render': False} 2023-07-25 15:06:38,116 params num: 16754444 2023-07-25 15:06:39,066 => no checkpoint found at '' 2023-07-25 15:10:01,265 (1000/1000) | Total: 0:03:22 | ETA: 0:00:01 | loss: 83.06 | 2d: 2.71 | 3d: 4.92 2d_short: 55.11 | 3d_short: 14.22 2d_mae_accel: 0.09 | 3d_mae_accel: 0.39 | 2d_short_accel: 1.91 | 3d_short_accel: 0.84 | loss_kp_2d_mae: 2.081 | loss_kp_3d_mae: 3.916 | loss_kp_2d_short: 26.837 | loss_kp_3d_short: 12.631 | loss_accel_2d_mae: 0.070 | loss_accel_3d_mae: 0.485 | loss_accel_2d_short: 0.577 | loss_accel_3d_short: 0.678 | data: 0.01 | forward: 0.06 | loss: 0.00 | backward: 0.13 | batch: 0.20 2023-07-25 15:10:07,774 (159/159) | batch: 64.61ms | Total: 0:00:06 | ETA: 0:00:01 2023-07-25 15:13:33,088 (1000/1000) | Total: 0:03:25 | ETA: 0:00:01 | loss: 28.40 | 2d: 1.67 | 3d: 2.16 2d_short: 16.08 | 3d_short: 6.08 2d_mae_accel: 0.06 | 3d_mae_accel: 0.26 | 2d_short_accel: 0.42 | 3d_short_accel: 0.62 | loss_kp_2d_mae: 1.297 | loss_kp_3d_mae: 1.599 | loss_kp_2d_short: 10.310 | loss_kp_3d_short: 4.111 | loss_accel_2d_mae: 0.053 | loss_accel_3d_mae: 0.189 | loss_accel_2d_short: 0.300 | loss_accel_3d_short: 0.420 | data: 0.01 | forward: 0.05 | loss: 0.00 | backward: 0.13 | batch: 0.19 2023-07-25 15:13:39,469 (159/159) | batch: 63.23ms | Total: 0:00:06 | ETA: 0:00:01 2023-07-25 15:17:01,944 (1000/1000) | Total: 0:03:22 | ETA: 0:00:01 | loss: 15.58 | 2d: 1.36 | 3d: 1.46 2d_short: 8.02 | 3d_short: 3.19 2d_mae_accel: 0.05 | 3d_mae_accel: 0.15 | 2d_short_accel: 0.22 | 3d_short_accel: 0.33 | loss_kp_2d_mae: 1.191 | loss_kp_3d_mae: 1.225 | loss_kp_2d_short: 7.092 | loss_kp_3d_short: 2.587 | loss_accel_2d_mae: 0.045 | loss_accel_3d_mae: 0.119 | loss_accel_2d_short: 0.201 | loss_accel_3d_short: 0.258 | data: 0.01 | forward: 0.06 | loss: 0.00 | backward: 0.13 | batch: 0.20 2023-07-25 15:17:08,830 (159/159) | batch: 68.03ms | Total: 0:00:06 | ETA: 0:00:01 2023-07-25 15:20:34,218 (1000/1000) | Total: 0:03:25 | ETA: 0:00:01 | loss: 12.93 | 2d: 1.21 | 3d: 1.16 2d_short: 6.97 | 3d_short: 2.36 2d_mae_accel: 0.04 | 3d_mae_accel: 0.10 | 2d_short_accel: 0.19 | 3d_short_accel: 0.23 | loss_kp_2d_mae: 1.428 | loss_kp_3d_mae: 1.465 | loss_kp_2d_short: 6.597 | loss_kp_3d_short: 3.134 | loss_accel_2d_mae: 0.047 | loss_accel_3d_mae: 0.095 | loss_accel_2d_short: 0.178 | loss_accel_3d_short: 0.235 | data: 0.01 | forward: 0.06 | loss: 0.00 | backward: 0.14 | batch: 0.21 2023-07-25 15:20:41,115 (159/159) | batch: 68.3ms | Total: 0:00:06 | ETA: 0:00:01 2023-07-25 15:24:02,301 (1000/1000) | Total: 0:03:21 | ETA: 0:00:01 | loss: 11.25 | 2d: 1.16 | 3d: 1.01 2d_short: 6.11 | 3d_short: 1.91 2d_mae_accel: 0.04 | 3d_mae_accel: 0.08 | 2d_short_accel: 0.18 | 3d_short_accel: 0.17 | loss_kp_2d_mae: 0.958 | loss_kp_3d_mae: 0.830 | loss_kp_2d_short: 4.776 | loss_kp_3d_short: 1.700 | loss_accel_2d_mae: 0.035 | loss_accel_3d_mae: 0.066 | loss_accel_2d_short: 0.171 | loss_accel_3d_short: 0.159 | data: 0.01 | forward: 0.06 | loss: 0.00 | backward: 0.13 | batch: 0.20 2023-07-25 15:24:09,838 (159/159) | batch: 74.66ms | Total: 0:00:07 | ETA: 0:00:01 2023-07-25 15:27:28,475 (1000/1000) | Total: 0:03:18 | ETA: 0:00:01 | loss: 9.97 | 2d: 1.14 | 3d: 0.95 2d_short: 5.14 | 3d_short: 1.71 2d_mae_accel: 0.04 | 3d_mae_accel: 0.06 | 2d_short_accel: 0.15 | 3d_short_accel: 0.13 | loss_kp_2d_mae: 1.012 | loss_kp_3d_mae: 0.790 | loss_kp_2d_short: 4.263 | loss_kp_3d_short: 1.492 | loss_accel_2d_mae: 0.042 | loss_accel_3d_mae: 0.044 | loss_accel_2d_short: 0.131 | loss_accel_3d_short: 0.094 | data: 0.01 | forward: 0.06 | loss: 0.00 | backward: 0.13 | batch: 0.20 2023-07-25 15:27:35,410 (159/159) | batch: 68.65ms | Total: 0:00:06 | ETA: 0:00:01 2023-07-25 15:30:53,322 (1000/1000) | Total: 0:03:17 | ETA: 0:00:01 | loss: 8.18 | 2d: 1.11 | 3d: 0.88 2d_short: 3.82 | 3d_short: 1.51 2d_mae_accel: 0.04 | 3d_mae_accel: 0.05 | 2d_short_accel: 0.11 | 3d_short_accel: 0.10 | loss_kp_2d_mae: 0.943 | loss_kp_3d_mae: 0.598 | loss_kp_2d_short: 2.403 | loss_kp_3d_short: 0.924 | loss_accel_2d_mae: 0.039 | loss_accel_3d_mae: 0.043 | loss_accel_2d_short: 0.083 | loss_accel_3d_short: 0.077 | loss_pose_mae: 0.406 | loss_pose_short: 0.812 | loss_shape_mae: 0.020 | loss_shape_short: 0.048 | data: 0.01 | forward: 0.05 | loss: 0.01 | backward: 0.14 | batch: 0.20 2023-07-25 15:31:00,137 (159/159) | batch: 67.38ms | Total: 0:00:06 | ETA: 0:00:01 2023-07-25 15:34:22,794 (1000/1000) | Total: 0:03:22 | ETA: 0:00:01 | loss: 6.37 | 2d: 1.06 | 3d: 0.80 2d_short: 2.48 | 3d_short: 1.32 2d_mae_accel: 0.04 | 3d_mae_accel: 0.05 | 2d_short_accel: 0.07 | 3d_short_accel: 0.09 | loss_kp_2d_mae: 1.173 | loss_kp_3d_mae: 0.819 | loss_kp_2d_short: 2.789 | loss_kp_3d_short: 1.487 | loss_accel_2d_mae: 0.045 | loss_accel_3d_mae: 0.046 | loss_accel_2d_short: 0.064 | loss_accel_3d_short: 0.088 | loss_pose_mae: 0.702 | loss_pose_short: 1.570 | loss_shape_mae: 0.022 | loss_shape_short: 0.064 | data: 0.01 | forward: 0.06 | loss: 0.01 | backward: 0.13 | batch: 0.20 2023-07-25 15:34:29,680 (159/159) | batch: 68.02ms | Total: 0:00:06 | ETA: 0:00:01 2023-07-25 15:37:51,280 (1000/1000) | Total: 0:03:21 | ETA: 0:00:01 | loss: 5.60 | 2d: 1.05 | 3d: 0.76 2d_short: 1.88 | 3d_short: 1.22 2d_mae_accel: 0.04 | 3d_mae_accel: 0.04 | 2d_short_accel: 0.05 | 3d_short_accel: 0.08 | loss_kp_2d_mae: 0.895 | loss_kp_3d_mae: 0.690 | loss_kp_2d_short: 1.222 | loss_kp_3d_short: 0.984 | loss_accel_2d_mae: 0.040 | loss_accel_3d_mae: 0.037 | loss_accel_2d_short: 0.034 | loss_accel_3d_short: 0.063 | data: 0.01 | forward: 0.06 | loss: 0.00 | backward: 0.13 | batch: 0.20 2023-07-25 15:37:58,201 (159/159) | batch: 68.42ms | Total: 0:00:06 | ETA: 0:00:01 2023-07-25 15:41:18,984 (1000/1000) | Total: 0:03:20 | ETA: 0:00:01 | loss: 5.19 | 2d: 1.04 | 3d: 0.74 2d_short: 1.56 | 3d_short: 1.18 2d_mae_accel: 0.04 | 3d_mae_accel: 0.04 | 2d_short_accel: 0.04 | 3d_short_accel: 0.07 | loss_kp_2d_mae: 1.061 | loss_kp_3d_mae: 0.617 | loss_kp_2d_short: 1.320 | loss_kp_3d_short: 0.838 | loss_accel_2d_mae: 0.041 | loss_accel_3d_mae: 0.033 | loss_accel_2d_short: 0.036 | loss_accel_3d_short: 0.056 | data: 0.01 | forward: 0.06 | loss: 0.00 | backward: 0.12 | batch: 0.19 2023-07-25 15:41:25,715 (159/159) | batch: 66.55ms | Total: 0:00:06 | ETA: 0:00:01 2023-07-25 15:44:48,199 (1000/1000) | Total: 0:03:22 | ETA: 0:00:01 | loss: 4.77 | 2d: 1.01 | 3d: 0.70 2d_short: 1.30 | 3d_short: 1.09 2d_mae_accel: 0.04 | 3d_mae_accel: 0.04 | 2d_short_accel: 0.03 | 3d_short_accel: 0.06 | loss_kp_2d_mae: 1.054 | loss_kp_3d_mae: 0.652 | loss_kp_2d_short: 1.208 | loss_kp_3d_short: 0.999 | loss_accel_2d_mae: 0.038 | loss_accel_3d_mae: 0.035 | loss_accel_2d_short: 0.023 | loss_accel_3d_short: 0.061 | data: 0.01 | forward: 0.05 | loss: 0.00 | backward: 0.12 | batch: 0.19 2023-07-25 15:44:55,002 (159/159) | batch: 67.3ms | Total: 0:00:06 | ETA: 0:00:01 2023-07-25 15:48:15,095 (1000/1000) | Total: 0:03:20 | ETA: 0:00:01 | loss: 4.53 | 2d: 1.02 | 3d: 0.67 2d_short: 1.17 | 3d_short: 1.09 2d_mae_accel: 0.04 | 3d_mae_accel: 0.04 | 2d_short_accel: 0.02 | 3d_short_accel: 0.05 | loss_kp_2d_mae: 0.898 | loss_kp_3d_mae: 0.561 | loss_kp_2d_short: 0.813 | loss_kp_3d_short: 0.911 | loss_accel_2d_mae: 0.039 | loss_accel_3d_mae: 0.041 | loss_accel_2d_short: 0.015 | loss_accel_3d_short: 0.053 | data: 0.01 | forward: 0.06 | loss: 0.00 | backward: 0.14 | batch: 0.21 2023-07-25 15:48:22,074 (159/159) | batch: 69.0ms | Total: 0:00:06 | ETA: 0:00:01 2023-07-25 15:51:29,628 (1000/1000) | Total: 0:03:07 | ETA: 0:00:01 | loss: 4.45 | 2d: 1.01 | 3d: 0.60 2d_short: 1.14 | 3d_short: 1.05 2d_mae_accel: 0.04 | 3d_mae_accel: 0.04 | 2d_short_accel: 0.02 | 3d_short_accel: 0.05 | loss_kp_2d_mae: 0.904 | loss_kp_3d_mae: 0.777 | loss_kp_2d_short: 0.910 | loss_kp_3d_short: 1.360 | loss_accel_2d_mae: 0.037 | loss_accel_3d_mae: 0.043 | loss_accel_2d_short: 0.020 | loss_accel_3d_short: 0.040 | loss_pose_mae: 0.590 | loss_pose_short: 1.077 | loss_shape_mae: 0.030 | loss_shape_short: 0.038 | data: 0.01 | forward: 0.05 | loss: 0.01 | backward: 0.14 | batch: 0.21 2023-07-25 15:51:36,600 (159/159) | batch: 68.94ms | Total: 0:00:06 | ETA: 0:00:01 2023-07-25 15:54:57,736 (1000/1000) | Total: 0:03:21 | ETA: 0:00:01 | loss: 4.21 | 2d: 0.99 | 3d: 0.56 2d_short: 1.08 | 3d_short: 0.99 2d_mae_accel: 0.04 | 3d_mae_accel: 0.04 | 2d_short_accel: 0.02 | 3d_short_accel: 0.05 | loss_kp_2d_mae: 0.849 | loss_kp_3d_mae: 0.515 | loss_kp_2d_short: 0.828 | loss_kp_3d_short: 0.843 | loss_accel_2d_mae: 0.039 | loss_accel_3d_mae: 0.036 | loss_accel_2d_short: 0.018 | loss_accel_3d_short: 0.046 | data: 0.01 | forward: 0.06 | loss: 0.00 | backward: 0.13 | batch: 0.20 2023-07-25 15:55:04,908 (159/159) | batch: 70.9ms | Total: 0:00:07 | ETA: 0:00:01 2023-07-25 15:58:26,648 (1000/1000) | Total: 0:03:21 | ETA: 0:00:01 | loss: 4.12 | 2d: 0.96 | 3d: 0.54 2d_short: 1.04 | 3d_short: 0.96 2d_mae_accel: 0.04 | 3d_mae_accel: 0.04 | 2d_short_accel: 0.02 | 3d_short_accel: 0.04 | loss_kp_2d_mae: 1.002 | loss_kp_3d_mae: 0.611 | loss_kp_2d_short: 1.077 | loss_kp_3d_short: 1.035 | loss_accel_2d_mae: 0.041 | loss_accel_3d_mae: 0.034 | loss_accel_2d_short: 0.016 | loss_accel_3d_short: 0.037 | data: 0.01 | forward: 0.06 | loss: 0.00 | backward: 0.14 | batch: 0.21 2023-07-25 15:58:33,595 (159/159) | batch: 68.63ms | Total: 0:00:06 | ETA: 0:00:01 2023-07-25 16:01:54,146 (1000/1000) | Total: 0:03:20 | ETA: 0:00:01 | loss: 3.94 | 2d: 0.97 | 3d: 0.53 2d_short: 0.98 | 3d_short: 0.91 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.04 | loss_kp_2d_mae: 0.969 | loss_kp_3d_mae: 0.748 | loss_kp_2d_short: 1.068 | loss_kp_3d_short: 1.512 | loss_accel_2d_mae: 0.042 | loss_accel_3d_mae: 0.038 | loss_accel_2d_short: 0.020 | loss_accel_3d_short: 0.040 | data: 0.01 | forward: 0.05 | loss: 0.00 | backward: 0.12 | batch: 0.18 2023-07-25 16:02:01,128 (159/159) | batch: 68.88ms | Total: 0:00:06 | ETA: 0:00:01 2023-07-25 16:05:23,253 (1000/1000) | Total: 0:03:22 | ETA: 0:00:01 | loss: 3.89 | 2d: 0.96 | 3d: 0.51 2d_short: 0.98 | 3d_short: 0.87 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.03 | loss_kp_2d_mae: 0.939 | loss_kp_3d_mae: 0.410 | loss_kp_2d_short: 0.886 | loss_kp_3d_short: 0.703 | loss_accel_2d_mae: 0.042 | loss_accel_3d_mae: 0.031 | loss_accel_2d_short: 0.019 | loss_accel_3d_short: 0.029 | data: 0.01 | forward: 0.05 | loss: 0.00 | backward: 0.13 | batch: 0.19 2023-07-25 16:05:30,377 (159/159) | batch: 70.5ms | Total: 0:00:07 | ETA: 0:00:01 2023-07-25 16:08:50,278 (1000/1000) | Total: 0:03:19 | ETA: 0:00:01 | loss: 3.78 | 2d: 0.96 | 3d: 0.50 2d_short: 0.97 | 3d_short: 0.85 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.03 | loss_kp_2d_mae: 0.848 | loss_kp_3d_mae: 0.578 | loss_kp_2d_short: 0.965 | loss_kp_3d_short: 0.822 | loss_accel_2d_mae: 0.038 | loss_accel_3d_mae: 0.038 | loss_accel_2d_short: 0.024 | loss_accel_3d_short: 0.031 | loss_pose_mae: 0.544 | loss_pose_short: 0.755 | loss_shape_mae: 0.010 | loss_shape_short: 0.032 | data: 0.01 | forward: 0.06 | loss: 0.01 | backward: 0.12 | batch: 0.19 2023-07-25 16:08:57,341 (159/159) | batch: 69.85ms | Total: 0:00:06 | ETA: 0:00:01 2023-07-25 16:12:18,688 (1000/1000) | Total: 0:03:21 | ETA: 0:00:01 | loss: 3.79 | 2d: 0.95 | 3d: 0.50 2d_short: 0.92 | 3d_short: 0.85 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.03 | loss_kp_2d_mae: 0.758 | loss_kp_3d_mae: 0.476 | loss_kp_2d_short: 0.631 | loss_kp_3d_short: 0.845 | loss_accel_2d_mae: 0.038 | loss_accel_3d_mae: 0.033 | loss_accel_2d_short: 0.017 | loss_accel_3d_short: 0.073 | loss_pose_mae: 0.664 | loss_pose_short: 1.294 | loss_shape_mae: 0.027 | loss_shape_short: 0.058 | data: 0.01 | forward: 0.05 | loss: 0.01 | backward: 0.11 | batch: 0.18 2023-07-25 16:12:25,781 (159/159) | batch: 70.08ms | Total: 0:00:07 | ETA: 0:00:01 2023-07-25 16:15:47,458 (1000/1000) | Total: 0:03:21 | ETA: 0:00:01 | loss: 3.69 | 2d: 0.95 | 3d: 0.49 2d_short: 0.93 | 3d_short: 0.81 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.03 | loss_kp_2d_mae: 0.866 | loss_kp_3d_mae: 0.386 | loss_kp_2d_short: 0.884 | loss_kp_3d_short: 0.635 | loss_accel_2d_mae: 0.040 | loss_accel_3d_mae: 0.028 | loss_accel_2d_short: 0.018 | loss_accel_3d_short: 0.022 | loss_pose_mae: 0.390 | loss_pose_short: 0.671 | loss_shape_mae: 0.035 | loss_shape_short: 0.039 | data: 0.01 | forward: 0.06 | loss: 0.01 | backward: 0.14 | batch: 0.21 2023-07-25 16:15:54,450 (159/159) | batch: 69.03ms | Total: 0:00:06 | ETA: 0:00:01 2023-07-25 16:19:15,508 (1000/1000) | Total: 0:03:21 | ETA: 0:00:01 | loss: 3.58 | 2d: 0.94 | 3d: 0.47 2d_short: 0.85 | 3d_short: 0.78 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.03 | loss_kp_2d_mae: 0.916 | loss_kp_3d_mae: 0.519 | loss_kp_2d_short: 0.896 | loss_kp_3d_short: 0.746 | loss_accel_2d_mae: 0.040 | loss_accel_3d_mae: 0.033 | loss_accel_2d_short: 0.014 | loss_accel_3d_short: 0.033 | loss_pose_mae: 0.799 | loss_pose_short: 1.296 | loss_shape_mae: 0.016 | loss_shape_short: 0.025 | data: 0.01 | forward: 0.05 | loss: 0.01 | backward: 0.14 | batch: 0.21 2023-07-25 16:19:22,478 (159/159) | batch: 68.98ms | Total: 0:00:06 | ETA: 0:00:01 2023-07-25 16:22:42,032 (1000/1000) | Total: 0:03:19 | ETA: 0:00:01 | loss: 3.55 | 2d: 0.93 | 3d: 0.47 2d_short: 0.87 | 3d_short: 0.77 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.02 | loss_kp_2d_mae: 0.852 | loss_kp_3d_mae: 0.390 | loss_kp_2d_short: 0.696 | loss_kp_3d_short: 0.707 | loss_accel_2d_mae: 0.035 | loss_accel_3d_mae: 0.028 | loss_accel_2d_short: 0.015 | loss_accel_3d_short: 0.024 | data: 0.01 | forward: 0.05 | loss: 0.00 | backward: 0.12 | batch: 0.19 2023-07-25 16:22:49,004 (159/159) | batch: 68.93ms | Total: 0:00:06 | ETA: 0:00:01 2023-07-25 16:26:06,964 (1000/1000) | Total: 0:03:17 | ETA: 0:00:01 | loss: 3.47 | 2d: 0.93 | 3d: 0.46 2d_short: 0.86 | 3d_short: 0.75 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.02 | loss_kp_2d_mae: 0.893 | loss_kp_3d_mae: 0.400 | loss_kp_2d_short: 1.030 | loss_kp_3d_short: 0.698 | loss_accel_2d_mae: 0.034 | loss_accel_3d_mae: 0.026 | loss_accel_2d_short: 0.016 | loss_accel_3d_short: 0.019 | data: 0.01 | forward: 0.06 | loss: 0.00 | backward: 0.13 | batch: 0.20 2023-07-25 16:26:14,176 (159/159) | batch: 71.26ms | Total: 0:00:07 | ETA: 0:00:01 2023-07-25 16:29:30,894 (1000/1000) | Total: 0:03:16 | ETA: 0:00:01 | loss: 3.45 | 2d: 0.92 | 3d: 0.45 2d_short: 0.84 | 3d_short: 0.74 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.02 | loss_kp_2d_mae: 0.812 | loss_kp_3d_mae: 0.389 | loss_kp_2d_short: 0.717 | loss_kp_3d_short: 0.621 | loss_accel_2d_mae: 0.035 | loss_accel_3d_mae: 0.032 | loss_accel_2d_short: 0.010 | loss_accel_3d_short: 0.020 | data: 0.01 | forward: 0.06 | loss: 0.00 | backward: 0.13 | batch: 0.20 2023-07-25 16:29:37,809 (159/159) | batch: 68.31ms | Total: 0:00:06 | ETA: 0:00:01 2023-07-25 16:32:56,556 (1000/1000) | Total: 0:03:18 | ETA: 0:00:01 | loss: 3.43 | 2d: 0.91 | 3d: 0.46 2d_short: 0.83 | 3d_short: 0.74 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.02 | loss_kp_2d_mae: 0.801 | loss_kp_3d_mae: 0.377 | loss_kp_2d_short: 0.587 | loss_kp_3d_short: 0.583 | loss_accel_2d_mae: 0.034 | loss_accel_3d_mae: 0.030 | loss_accel_2d_short: 0.014 | loss_accel_3d_short: 0.021 | data: 0.01 | forward: 0.05 | loss: 0.00 | backward: 0.12 | batch: 0.19 2023-07-25 16:33:03,479 (159/159) | batch: 68.41ms | Total: 0:00:06 | ETA: 0:00:01 2023-07-25 16:33:10,177 Epoch 24, MPJPE: 85.2377, PA-MPJPE: 57.4650, ACCEL: 4.3445, PVE: 102.8135, ACCEL_ERR: 8.9979, 2023-07-25 16:33:10,178 Epoch 25 performance: 57.4650 2023-07-25 16:33:10,315 Best performance achived, saving it! 2023-07-25 16:36:26,941 (1000/1000) | Total: 0:03:16 | ETA: 0:00:01 | loss: 3.41 | 2d: 0.91 | 3d: 0.44 2d_short: 0.81 | 3d_short: 0.72 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.03 | loss_kp_2d_mae: 0.873 | loss_kp_3d_mae: 0.362 | loss_kp_2d_short: 0.739 | loss_kp_3d_short: 0.620 | loss_accel_2d_mae: 0.036 | loss_accel_3d_mae: 0.028 | loss_accel_2d_short: 0.019 | loss_accel_3d_short: 0.015 | data: 0.01 | forward: 0.06 | loss: 0.00 | backward: 0.10 | batch: 0.18 2023-07-25 16:36:33,968 (159/159) | batch: 69.43ms | Total: 0:00:06 | ETA: 0:00:01 2023-07-25 16:36:40,992 Epoch 25, MPJPE: 85.0714, PA-MPJPE: 56.9273, ACCEL: 4.3721, PVE: 101.9764, ACCEL_ERR: 9.0589, 2023-07-25 16:36:40,992 Epoch 26 performance: 56.9273 2023-07-25 16:36:41,325 Best performance achived, saving it! 2023-07-25 16:39:59,893 (1000/1000) | Total: 0:03:18 | ETA: 0:00:01 | loss: 3.46 | 2d: 0.92 | 3d: 0.45 2d_short: 0.85 | 3d_short: 0.72 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.02 | loss_kp_2d_mae: 0.886 | loss_kp_3d_mae: 0.347 | loss_kp_2d_short: 0.885 | loss_kp_3d_short: 0.583 | loss_accel_2d_mae: 0.042 | loss_accel_3d_mae: 0.023 | loss_accel_2d_short: 0.015 | loss_accel_3d_short: 0.014 | data: 0.01 | forward: 0.07 | loss: 0.00 | backward: 0.14 | batch: 0.22 2023-07-25 16:40:06,966 (159/159) | batch: 69.96ms | Total: 0:00:06 | ETA: 0:00:01 2023-07-25 16:40:13,875 Epoch 26, MPJPE: 81.4788, PA-MPJPE: 55.6698, ACCEL: 4.3870, PVE: 99.0778, ACCEL_ERR: 8.9814, 2023-07-25 16:40:13,876 Epoch 27 performance: 55.6698 2023-07-25 16:40:14,197 Best performance achived, saving it! 2023-07-25 16:43:36,309 (1000/1000) | Total: 0:03:21 | ETA: 0:00:01 | loss: 3.23 | 2d: 0.92 | 3d: 0.43 2d_short: 0.78 | 3d_short: 0.68 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.02 | loss_kp_2d_mae: 0.785 | loss_kp_3d_mae: 0.408 | loss_kp_2d_short: 0.682 | loss_kp_3d_short: 0.637 | loss_accel_2d_mae: 0.037 | loss_accel_3d_mae: 0.029 | loss_accel_2d_short: 0.014 | loss_accel_3d_short: 0.018 | data: 0.01 | forward: 0.06 | loss: 0.00 | backward: 0.13 | batch: 0.20 2023-07-25 16:43:43,267 (159/159) | batch: 68.92ms | Total: 0:00:06 | ETA: 0:00:01 2023-07-25 16:43:50,391 Epoch 27, MPJPE: 83.4710, PA-MPJPE: 56.3840, ACCEL: 4.6649, PVE: 102.9787, ACCEL_ERR: 9.1579, 2023-07-25 16:43:50,392 Epoch 28 performance: 56.3840 2023-07-25 16:47:15,031 (1000/1000) | Total: 0:03:24 | ETA: 0:00:01 | loss: 3.28 | 2d: 0.90 | 3d: 0.43 2d_short: 0.77 | 3d_short: 0.68 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.02 | loss_kp_2d_mae: 0.865 | loss_kp_3d_mae: 0.360 | loss_kp_2d_short: 0.805 | loss_kp_3d_short: 0.528 | loss_accel_2d_mae: 0.039 | loss_accel_3d_mae: 0.030 | loss_accel_2d_short: 0.020 | loss_accel_3d_short: 0.015 | data: 0.01 | forward: 0.06 | loss: 0.00 | backward: 0.12 | batch: 0.19 2023-07-25 16:47:22,077 (159/159) | batch: 69.58ms | Total: 0:00:06 | ETA: 0:00:01 2023-07-25 16:47:29,065 Epoch 28, MPJPE: 81.3265, PA-MPJPE: 56.5796, ACCEL: 4.5845, PVE: 99.6933, ACCEL_ERR: 9.1398, 2023-07-25 16:47:29,066 Epoch 29 performance: 56.5796 2023-07-25 16:50:54,105 (1000/1000) | Total: 0:03:24 | ETA: 0:00:01 | loss: 3.22 | 2d: 0.91 | 3d: 0.42 2d_short: 0.77 | 3d_short: 0.66 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.02 | loss_kp_2d_mae: 0.822 | loss_kp_3d_mae: 0.520 | loss_kp_2d_short: 0.548 | loss_kp_3d_short: 0.837 | loss_accel_2d_mae: 0.036 | loss_accel_3d_mae: 0.039 | loss_accel_2d_short: 0.011 | loss_accel_3d_short: 0.024 | data: 0.01 | forward: 0.06 | loss: 0.00 | backward: 0.13 | batch: 0.21 2023-07-25 16:51:01,101 (159/159) | batch: 69.28ms | Total: 0:00:06 | ETA: 0:00:01 2023-07-25 16:51:08,160 Epoch 29, MPJPE: 83.1563, PA-MPJPE: 55.5198, ACCEL: 4.6985, PVE: 100.2552, ACCEL_ERR: 9.1474, 2023-07-25 16:51:08,161 Epoch 30 performance: 55.5198 2023-07-25 16:51:08,480 Best performance achived, saving it! 2023-07-25 16:54:34,013 (1000/1000) | Total: 0:03:25 | ETA: 0:00:01 | loss: 3.20 | 2d: 0.90 | 3d: 0.41 2d_short: 0.78 | 3d_short: 0.65 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.02 | loss_kp_2d_mae: 0.780 | loss_kp_3d_mae: 0.339 | loss_kp_2d_short: 0.660 | loss_kp_3d_short: 0.493 | loss_accel_2d_mae: 0.039 | loss_accel_3d_mae: 0.025 | loss_accel_2d_short: 0.019 | loss_accel_3d_short: 0.014 | data: 0.01 | forward: 0.06 | loss: 0.00 | backward: 0.13 | batch: 0.20 2023-07-25 16:54:41,168 (159/159) | batch: 70.78ms | Total: 0:00:07 | ETA: 0:00:01 2023-07-25 16:54:48,177 Epoch 30, MPJPE: 81.4301, PA-MPJPE: 54.4070, ACCEL: 4.5278, PVE: 98.1848, ACCEL_ERR: 9.0523, 2023-07-25 16:54:48,178 Epoch 31 performance: 54.4070 2023-07-25 16:54:48,455 Best performance achived, saving it! 2023-07-25 16:58:15,001 (1000/1000) | Total: 0:03:26 | ETA: 0:00:01 | loss: 3.14 | 2d: 0.88 | 3d: 0.41 2d_short: 0.74 | 3d_short: 0.65 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.02 | loss_kp_2d_mae: 0.899 | loss_kp_3d_mae: 0.432 | loss_kp_2d_short: 0.764 | loss_kp_3d_short: 0.657 | loss_accel_2d_mae: 0.038 | loss_accel_3d_mae: 0.030 | loss_accel_2d_short: 0.017 | loss_accel_3d_short: 0.019 | data: 0.01 | forward: 0.06 | loss: 0.00 | backward: 0.13 | batch: 0.20 2023-07-25 16:58:22,057 (159/159) | batch: 69.69ms | Total: 0:00:06 | ETA: 0:00:01 2023-07-25 16:58:29,101 Epoch 31, MPJPE: 82.1754, PA-MPJPE: 56.3254, ACCEL: 4.2773, PVE: 99.7758, ACCEL_ERR: 8.9022, 2023-07-25 16:58:29,102 Epoch 32 performance: 56.3254 2023-07-25 17:01:55,413 (1000/1000) | Total: 0:03:25 | ETA: 0:00:01 | loss: 3.12 | 2d: 0.89 | 3d: 0.40 2d_short: 0.76 | 3d_short: 0.63 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.02 | loss_kp_2d_mae: 0.771 | loss_kp_3d_mae: 0.522 | loss_kp_2d_short: 0.796 | loss_kp_3d_short: 0.790 | loss_accel_2d_mae: 0.034 | loss_accel_3d_mae: 0.040 | loss_accel_2d_short: 0.016 | loss_accel_3d_short: 0.025 | data: 0.01 | forward: 0.06 | loss: 0.00 | backward: 0.13 | batch: 0.21 2023-07-25 17:02:02,594 (159/159) | batch: 70.93ms | Total: 0:00:07 | ETA: 0:00:01 2023-07-25 17:02:09,868 Epoch 32, MPJPE: 81.8072, PA-MPJPE: 54.1606, ACCEL: 4.6995, PVE: 98.4919, ACCEL_ERR: 9.1435, 2023-07-25 17:02:09,869 Epoch 33 performance: 54.1606 2023-07-25 17:02:10,205 Best performance achived, saving it! 2023-07-25 17:05:38,239 (1000/1000) | Total: 0:03:27 | ETA: 0:00:01 | loss: 3.08 | 2d: 0.89 | 3d: 0.40 2d_short: 0.72 | 3d_short: 0.62 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.02 | loss_kp_2d_mae: 0.758 | loss_kp_3d_mae: 0.470 | loss_kp_2d_short: 0.515 | loss_kp_3d_short: 0.744 | loss_accel_2d_mae: 0.038 | loss_accel_3d_mae: 0.025 | loss_accel_2d_short: 0.012 | loss_accel_3d_short: 0.014 | data: 0.01 | forward: 0.07 | loss: 0.00 | backward: 0.11 | batch: 0.19 2023-07-25 17:05:45,336 (159/159) | batch: 70.23ms | Total: 0:00:07 | ETA: 0:00:01 2023-07-25 17:05:52,401 Epoch 33, MPJPE: 81.9579, PA-MPJPE: 55.5249, ACCEL: 4.2378, PVE: 100.7078, ACCEL_ERR: 8.8423, 2023-07-25 17:05:52,402 Epoch 34 performance: 55.5249 2023-07-25 17:09:19,224 (1000/1000) | Total: 0:03:26 | ETA: 0:00:01 | loss: 3.05 | 2d: 0.90 | 3d: 0.39 2d_short: 0.72 | 3d_short: 0.61 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.02 | loss_kp_2d_mae: 0.911 | loss_kp_3d_mae: 0.358 | loss_kp_2d_short: 0.791 | loss_kp_3d_short: 0.467 | loss_accel_2d_mae: 0.041 | loss_accel_3d_mae: 0.026 | loss_accel_2d_short: 0.020 | loss_accel_3d_short: 0.013 | data: 0.01 | forward: 0.07 | loss: 0.00 | backward: 0.12 | batch: 0.20 2023-07-25 17:09:26,344 (159/159) | batch: 70.48ms | Total: 0:00:07 | ETA: 0:00:01 2023-07-25 17:09:33,269 Epoch 34, MPJPE: 81.6683, PA-MPJPE: 55.6406, ACCEL: 4.0666, PVE: 99.2426, ACCEL_ERR: 8.7454, 2023-07-25 17:09:33,270 Epoch 35 performance: 55.6406 2023-07-25 17:13:00,846 (1000/1000) | Total: 0:03:27 | ETA: 0:00:01 | loss: 2.99 | 2d: 0.88 | 3d: 0.39 2d_short: 0.70 | 3d_short: 0.61 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.02 | loss_kp_2d_mae: 0.773 | loss_kp_3d_mae: 0.316 | loss_kp_2d_short: 0.581 | loss_kp_3d_short: 0.528 | loss_accel_2d_mae: 0.037 | loss_accel_3d_mae: 0.024 | loss_accel_2d_short: 0.011 | loss_accel_3d_short: 0.011 | data: 0.01 | forward: 0.06 | loss: 0.00 | backward: 0.13 | batch: 0.21 2023-07-25 17:13:08,046 (159/159) | batch: 71.04ms | Total: 0:00:07 | ETA: 0:00:01 2023-07-25 17:13:15,019 Epoch 35, MPJPE: 79.4786, PA-MPJPE: 54.7073, ACCEL: 4.2309, PVE: 96.9786, ACCEL_ERR: 8.8062, 2023-07-25 17:13:15,020 Epoch 36 performance: 54.7073 2023-07-25 17:16:40,521 (1000/1000) | Total: 0:03:25 | ETA: 0:00:01 | loss: 3.01 | 2d: 0.88 | 3d: 0.39 2d_short: 0.70 | 3d_short: 0.60 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.02 | loss_kp_2d_mae: 0.890 | loss_kp_3d_mae: 0.293 | loss_kp_2d_short: 0.892 | loss_kp_3d_short: 0.443 | loss_accel_2d_mae: 0.037 | loss_accel_3d_mae: 0.027 | loss_accel_2d_short: 0.014 | loss_accel_3d_short: 0.013 | loss_pose_mae: 0.209 | loss_pose_short: 0.316 | loss_shape_mae: 0.005 | loss_shape_short: 0.006 | data: 0.01 | forward: 0.06 | loss: 0.01 | backward: 0.14 | batch: 0.22 2023-07-25 17:16:47,684 (159/159) | batch: 70.83ms | Total: 0:00:07 | ETA: 0:00:01 2023-07-25 17:16:54,662 Epoch 36, MPJPE: 81.4221, PA-MPJPE: 55.0074, ACCEL: 4.3271, PVE: 98.9294, ACCEL_ERR: 8.8822, 2023-07-25 17:16:54,663 Epoch 37 performance: 55.0074 2023-07-25 17:20:19,351 (1000/1000) | Total: 0:03:24 | ETA: 0:00:01 | loss: 3.03 | 2d: 0.88 | 3d: 0.39 2d_short: 0.71 | 3d_short: 0.60 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.02 | loss_kp_2d_mae: 0.818 | loss_kp_3d_mae: 0.365 | loss_kp_2d_short: 0.857 | loss_kp_3d_short: 0.601 | loss_accel_2d_mae: 0.038 | loss_accel_3d_mae: 0.031 | loss_accel_2d_short: 0.015 | loss_accel_3d_short: 0.017 | data: 0.01 | forward: 0.07 | loss: 0.00 | backward: 0.12 | batch: 0.20 2023-07-25 17:20:26,382 (159/159) | batch: 69.62ms | Total: 0:00:06 | ETA: 0:00:01 2023-07-25 17:20:33,354 Epoch 37, MPJPE: 80.9129, PA-MPJPE: 54.4752, ACCEL: 4.2970, PVE: 97.3225, ACCEL_ERR: 8.8349, 2023-07-25 17:20:33,355 Epoch 38 performance: 54.4752 2023-07-25 17:23:53,916 (1000/1000) | Total: 0:03:20 | ETA: 0:00:01 | loss: 2.95 | 2d: 0.88 | 3d: 0.38 2d_short: 0.68 | 3d_short: 0.58 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.02 | loss_kp_2d_mae: 0.753 | loss_kp_3d_mae: 0.449 | loss_kp_2d_short: 0.610 | loss_kp_3d_short: 0.767 | loss_accel_2d_mae: 0.034 | loss_accel_3d_mae: 0.032 | loss_accel_2d_short: 0.011 | loss_accel_3d_short: 0.017 | data: 0.01 | forward: 0.07 | loss: 0.00 | backward: 0.12 | batch: 0.19 2023-07-25 17:24:00,916 (159/159) | batch: 69.22ms | Total: 0:00:06 | ETA: 0:00:01 2023-07-25 17:24:07,826 Epoch 38, MPJPE: 81.5450, PA-MPJPE: 55.6191, ACCEL: 4.3525, PVE: 99.3135, ACCEL_ERR: 8.9067, 2023-07-25 17:24:07,827 Epoch 39 performance: 55.6191 2023-07-25 17:27:34,219 (1000/1000) | Total: 0:03:26 | ETA: 0:00:01 | loss: 2.88 | 2d: 0.87 | 3d: 0.38 2d_short: 0.67 | 3d_short: 0.57 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.02 | loss_kp_2d_mae: 0.901 | loss_kp_3d_mae: 0.360 | loss_kp_2d_short: 0.730 | loss_kp_3d_short: 0.528 | loss_accel_2d_mae: 0.037 | loss_accel_3d_mae: 0.030 | loss_accel_2d_short: 0.015 | loss_accel_3d_short: 0.016 | loss_pose_mae: 0.472 | loss_pose_short: 0.794 | loss_shape_mae: 0.006 | loss_shape_short: 0.005 | data: 0.01 | forward: 0.06 | loss: 0.01 | backward: 0.14 | batch: 0.21 2023-07-25 17:27:41,653 (159/159) | batch: 73.36ms | Total: 0:00:07 | ETA: 0:00:01 2023-07-25 17:27:48,624 Epoch 39, MPJPE: 80.7027, PA-MPJPE: 54.8770, ACCEL: 4.3117, PVE: 97.9832, ACCEL_ERR: 8.8365, 2023-07-25 17:27:48,625 Epoch 40 performance: 54.8770 2023-07-25 17:31:13,961 (1000/1000) | Total: 0:03:25 | ETA: 0:00:01 | loss: 2.92 | 2d: 0.88 | 3d: 0.38 2d_short: 0.68 | 3d_short: 0.58 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.02 | loss_kp_2d_mae: 0.874 | loss_kp_3d_mae: 0.345 | loss_kp_2d_short: 0.494 | loss_kp_3d_short: 0.556 | loss_accel_2d_mae: 0.038 | loss_accel_3d_mae: 0.024 | loss_accel_2d_short: 0.014 | loss_accel_3d_short: 0.013 | loss_pose_mae: 0.482 | loss_pose_short: 0.830 | loss_shape_mae: 0.006 | loss_shape_short: 0.006 | data: 0.01 | forward: 0.06 | loss: 0.01 | backward: 0.14 | batch: 0.22 2023-07-25 17:31:21,010 (159/159) | batch: 69.67ms | Total: 0:00:06 | ETA: 0:00:01 2023-07-25 17:31:27,949 Epoch 40, MPJPE: 78.7119, PA-MPJPE: 53.5656, ACCEL: 4.0843, PVE: 95.8849, ACCEL_ERR: 8.7005, 2023-07-25 17:31:27,950 Epoch 41 performance: 53.5656 2023-07-25 17:31:28,263 Best performance achived, saving it! 2023-07-25 17:34:48,961 (1000/1000) | Total: 0:03:20 | ETA: 0:00:01 | loss: 2.93 | 2d: 0.88 | 3d: 0.38 2d_short: 0.66 | 3d_short: 0.58 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.02 | loss_kp_2d_mae: 0.832 | loss_kp_3d_mae: 0.328 | loss_kp_2d_short: 0.560 | loss_kp_3d_short: 0.446 | loss_accel_2d_mae: 0.040 | loss_accel_3d_mae: 0.026 | loss_accel_2d_short: 0.012 | loss_accel_3d_short: 0.012 | data: 0.01 | forward: 0.06 | loss: 0.00 | backward: 0.12 | batch: 0.19 2023-07-25 17:34:55,947 (159/159) | batch: 69.13ms | Total: 0:00:06 | ETA: 0:00:01 2023-07-25 17:35:03,182 Epoch 41, MPJPE: 79.0768, PA-MPJPE: 53.5054, ACCEL: 4.1824, PVE: 96.0614, ACCEL_ERR: 8.7886, 2023-07-25 17:35:03,183 Epoch 42 performance: 53.5054 2023-07-25 17:35:03,527 Best performance achived, saving it! 2023-07-25 17:38:24,492 (1000/1000) | Total: 0:03:20 | ETA: 0:00:01 | loss: 2.90 | 2d: 0.87 | 3d: 0.37 2d_short: 0.66 | 3d_short: 0.57 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.02 | loss_kp_2d_mae: 0.776 | loss_kp_3d_mae: 0.317 | loss_kp_2d_short: 0.593 | loss_kp_3d_short: 0.435 | loss_accel_2d_mae: 0.037 | loss_accel_3d_mae: 0.024 | loss_accel_2d_short: 0.018 | loss_accel_3d_short: 0.013 | data: 0.01 | forward: 0.06 | loss: 0.00 | backward: 0.12 | batch: 0.19 2023-07-25 17:38:32,111 (159/159) | batch: 75.41ms | Total: 0:00:07 | ETA: 0:00:01 2023-07-25 17:38:39,168 Epoch 42, MPJPE: 79.5454, PA-MPJPE: 54.2540, ACCEL: 4.0599, PVE: 96.4935, ACCEL_ERR: 8.7261, 2023-07-25 17:38:39,169 Epoch 43 performance: 54.2540 2023-07-25 17:42:03,457 (1000/1000) | Total: 0:03:23 | ETA: 0:00:01 | loss: 2.86 | 2d: 0.87 | 3d: 0.37 2d_short: 0.65 | 3d_short: 0.56 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.02 | loss_kp_2d_mae: 0.838 | loss_kp_3d_mae: 0.252 | loss_kp_2d_short: 0.546 | loss_kp_3d_short: 0.397 | loss_accel_2d_mae: 0.045 | loss_accel_3d_mae: 0.024 | loss_accel_2d_short: 0.021 | loss_accel_3d_short: 0.013 | loss_pose_mae: 0.327 | loss_pose_short: 0.575 | loss_shape_mae: 0.003 | loss_shape_short: 0.005 | data: 0.01 | forward: 0.06 | loss: 0.01 | backward: 0.12 | batch: 0.20 2023-07-25 17:42:10,565 (159/159) | batch: 70.15ms | Total: 0:00:07 | ETA: 0:00:01 2023-07-25 17:42:17,392 Epoch 43, MPJPE: 80.7814, PA-MPJPE: 54.5233, ACCEL: 4.1778, PVE: 98.1032, ACCEL_ERR: 8.7700, 2023-07-25 17:42:17,393 Epoch 44 performance: 54.5233 2023-07-25 17:45:45,120 (1000/1000) | Total: 0:03:27 | ETA: 0:00:01 | loss: 2.93 | 2d: 0.88 | 3d: 0.37 2d_short: 0.66 | 3d_short: 0.57 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.02 | loss_kp_2d_mae: 0.809 | loss_kp_3d_mae: 0.293 | loss_kp_2d_short: 0.564 | loss_kp_3d_short: 0.409 | loss_accel_2d_mae: 0.039 | loss_accel_3d_mae: 0.028 | loss_accel_2d_short: 0.018 | loss_accel_3d_short: 0.019 | loss_pose_mae: 0.811 | loss_pose_short: 1.265 | loss_shape_mae: 0.036 | loss_shape_short: 0.069 | data: 0.01 | forward: 0.07 | loss: 0.00 | backward: 0.13 | batch: 0.21 2023-07-25 17:45:52,071 (159/159) | batch: 68.83ms | Total: 0:00:06 | ETA: 0:00:01 2023-07-25 17:45:59,077 Epoch 44, MPJPE: 79.7429, PA-MPJPE: 54.0235, ACCEL: 4.1447, PVE: 97.0212, ACCEL_ERR: 8.7708, 2023-07-25 17:45:59,078 Epoch 45 performance: 54.0235 2023-07-25 17:49:28,014 (1000/1000) | Total: 0:03:28 | ETA: 0:00:01 | loss: 2.81 | 2d: 0.86 | 3d: 0.36 2d_short: 0.65 | 3d_short: 0.55 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.02 | loss_kp_2d_mae: 0.802 | loss_kp_3d_mae: 0.428 | loss_kp_2d_short: 0.532 | loss_kp_3d_short: 0.648 | loss_accel_2d_mae: 0.035 | loss_accel_3d_mae: 0.028 | loss_accel_2d_short: 0.008 | loss_accel_3d_short: 0.016 | data: 0.01 | forward: 0.07 | loss: 0.00 | backward: 0.14 | batch: 0.21 2023-07-25 17:49:35,095 (159/159) | batch: 69.93ms | Total: 0:00:06 | ETA: 0:00:01 2023-07-25 17:49:42,012 Epoch 45, MPJPE: 78.4940, PA-MPJPE: 53.5774, ACCEL: 4.0479, PVE: 94.9888, ACCEL_ERR: 8.6715, 2023-07-25 17:49:42,013 Epoch 46 performance: 53.5774 2023-07-25 17:53:12,547 (1000/1000) | Total: 0:03:30 | ETA: 0:00:01 | loss: 2.82 | 2d: 0.86 | 3d: 0.37 2d_short: 0.64 | 3d_short: 0.55 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.01 | loss_kp_2d_mae: 0.811 | loss_kp_3d_mae: 0.366 | loss_kp_2d_short: 0.634 | loss_kp_3d_short: 0.488 | loss_accel_2d_mae: 0.036 | loss_accel_3d_mae: 0.031 | loss_accel_2d_short: 0.012 | loss_accel_3d_short: 0.018 | data: 0.01 | forward: 0.06 | loss: 0.00 | backward: 0.13 | batch: 0.20 2023-07-25 17:53:19,622 (159/159) | batch: 70.06ms | Total: 0:00:07 | ETA: 0:00:01 2023-07-25 17:53:26,596 Epoch 46, MPJPE: 79.0407, PA-MPJPE: 53.8125, ACCEL: 4.0298, PVE: 96.4762, ACCEL_ERR: 8.6823, 2023-07-25 17:53:26,597 Epoch 47 performance: 53.8125 2023-07-25 17:56:55,398 (1000/1000) | Total: 0:03:28 | ETA: 0:00:01 | loss: 2.80 | 2d: 0.87 | 3d: 0.36 2d_short: 0.64 | 3d_short: 0.54 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.01 | loss_kp_2d_mae: 0.789 | loss_kp_3d_mae: 0.306 | loss_kp_2d_short: 0.548 | loss_kp_3d_short: 0.419 | loss_accel_2d_mae: 0.040 | loss_accel_3d_mae: 0.029 | loss_accel_2d_short: 0.014 | loss_accel_3d_short: 0.013 | data: 0.01 | forward: 0.06 | loss: 0.00 | backward: 0.14 | batch: 0.21 2023-07-25 17:57:02,618 (159/159) | batch: 71.28ms | Total: 0:00:07 | ETA: 0:00:01 2023-07-25 17:57:09,493 Epoch 47, MPJPE: 78.9347, PA-MPJPE: 53.9393, ACCEL: 4.0543, PVE: 96.4043, ACCEL_ERR: 8.7078, 2023-07-25 17:57:09,494 Epoch 48 performance: 53.9393 2023-07-25 18:00:39,700 (1000/1000) | Total: 0:03:29 | ETA: 0:00:01 | loss: 2.85 | 2d: 0.87 | 3d: 0.37 2d_short: 0.64 | 3d_short: 0.55 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.02 | loss_kp_2d_mae: 0.773 | loss_kp_3d_mae: 0.374 | loss_kp_2d_short: 0.602 | loss_kp_3d_short: 0.596 | loss_accel_2d_mae: 0.036 | loss_accel_3d_mae: 0.027 | loss_accel_2d_short: 0.015 | loss_accel_3d_short: 0.012 | data: 0.01 | forward: 0.06 | loss: 0.00 | backward: 0.14 | batch: 0.21 2023-07-25 18:00:46,815 (159/159) | batch: 70.36ms | Total: 0:00:07 | ETA: 0:00:01 2023-07-25 18:00:54,210 Epoch 48, MPJPE: 78.7205, PA-MPJPE: 53.4496, ACCEL: 4.0427, PVE: 95.7948, ACCEL_ERR: 8.6890, 2023-07-25 18:00:54,211 Epoch 49 performance: 53.4496 2023-07-25 18:00:54,556 Best performance achived, saving it! 2023-07-25 18:04:45,547 (1000/1000) | Total: 0:03:50 | ETA: 0:00:01 | loss: 2.77 | 2d: 0.86 | 3d: 0.36 2d_short: 0.62 | 3d_short: 0.55 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.01 | loss_kp_2d_mae: 0.731 | loss_kp_3d_mae: 0.333 | loss_kp_2d_short: 0.492 | loss_kp_3d_short: 0.384 | loss_accel_2d_mae: 0.035 | loss_accel_3d_mae: 0.029 | loss_accel_2d_short: 0.015 | loss_accel_3d_short: 0.017 | loss_pose_mae: 0.103 | loss_pose_short: 0.199 | loss_shape_mae: 0.003 | loss_shape_short: 0.004 | data: 0.01 | forward: 0.08 | loss: 0.01 | backward: 0.15 | batch: 0.25 2023-07-25 18:04:55,763 (159/159) | batch: 100.8ms | Total: 0:00:10 | ETA: 0:00:01 2023-07-25 18:05:04,596 Epoch 49, MPJPE: 78.3732, PA-MPJPE: 53.4657, ACCEL: 4.0833, PVE: 95.5035, ACCEL_ERR: 8.7071, 2023-07-25 18:05:04,597 Epoch 50 performance: 53.4657

sxl142 commented 1 year ago

Previously, I found that the version of PyTorch was not consistent with yours, which led to a slower convergence speed. When I set the number of training epochs to 55, I was able to achieve a PA-MPJPE of 50.9. Later, I replicated the same environment and ran it for 50 epochs. The 49th epoch was chosen as the best model, with a test result of PA-MPJPE 52. I saved the model from the 42nd epoch, which resulted in a PA-MPJPE of 51.0. Below is the training log：

2023-07-25 15:06:14,552 GPU name -> NVIDIA TITAN RTX 2023-07-25 15:06:14,553 GPU feat -> _CudaDeviceProperties(name='NVIDIA TITAN RTX', major=7, minor=5, total_memory=24209MB, multi_processor_count=72) 2023-07-25 15:06:14,554 {'CUDNN': CfgNode({'BENCHMARK': True, 'DETERMINISTIC': False, 'ENABLED': True}), 'DATASET': CfgNode({'SEQLEN': 16, 'OVERLAP': 0.5}), 'DEBUG': False, 'DEBUG_FREQ': 5, 'DEVICE': 'cuda', 'EXP_NAME': 'table1_3dpw_exp', 'LOGDIR': '/home/xyh/project/GLot/exp_dir/experiments/25-07-2023_15-06-14_table1_3dpw_exp', 'LOSS': {'D_MOTION_LOSS_W': 0.0, 'KP_2D_W': 300.0, 'KP_3D_W': 300.0, 'POSE_W': 60.0, 'SHAPE_W': 0.06, 'use_accel': False, 'vel_or_accel_2d_weight': 10.0, 'vel_or_accel_3d_weight': 100.0}, 'MODEL': {'MODEL_NAME': 'GLoT', 'atten_drop': 0.0, 'd_model': 512, 'drop_path_r': 0.2, 'drop_reg_short': 0.25, 'dropout': 0.1, 'mask_ratio': 0.5, 'n_layers': 2, 'num_head': 8, 'short_atten_drop': 0.0, 'short_d_model': 256, 'short_drop_path_r': 0.2, 'short_dropout': 0.1, 'short_n_layers': 3, 'short_num_head': 8, 'stride_short': 4}, 'NUM_WORKERS': 16, 'OUTPUT_DIR': '/home/xyh/project/GLot/exp_dir/experiments', 'SEED_VALUE': 1, 'TITLE': 'repr_table4_3dpw_model', 'TRAIN': {'BATCH_SIZE': 64, 'DATASETS_2D': ['Insta'], 'DATASETS_3D': ['ThreeDPW', 'MPII3D', 'Human36M'], 'DATASET_EVAL': 'ThreeDPW', 'DATA_2D_RATIO': 0.6, 'END_EPOCH': 50, 'GEN_LR': 0.0001, 'GEN_MOMENTUM': 0.9, 'GEN_OPTIM': 'Adam', 'GEN_WD': 0.0, 'LR_PATIENCE': 5, 'MOT_DISCR': {'ATT': {'DROPOUT': 0.2, 'LAYERS': 3, 'SIZE': 1024}, 'FEATURE_POOL': 'attention', 'HIDDEN_SIZE': 1024, 'LR': 0.0001, 'MOMENTUM': 0.9, 'NUM_LAYERS': 2, 'OPTIM': 'Adam', 'UPDATE_STEPS': 1, 'WD': 0.0001}, 'NUM_ITERS_PER_EPOCH': 1000, 'OVERLAP': 0.0, 'PRETRAINED': '/home/xyh/project/GLot/exp_dir/experiments/24-07-2023_17-34-38_table1_3dpw_exp/epoch50_checkpoint.pth.tar', 'PRETRAINED_REGRESSOR': '/home/xyh/data/base_data/spin_model_checkpoint.pth.tar', 'RESUME': '', 'START_EPOCH': 0, 'val_epoch': 25}, 'render': False} 2023-07-25 15:06:38,116 params num: 16754444 2023-07-25 15:06:39,066 => no checkpoint found at '' 2023-07-25 15:10:01,265 (1000/1000) | Total: 0:03:22 | ETA: 0:00:01 | loss: 83.06 | 2d: 2.71 | 3d: 4.92 2d_short: 55.11 | 3d_short: 14.22 2d_mae_accel: 0.09 | 3d_mae_accel: 0.39 | 2d_short_accel: 1.91 | 3d_short_accel: 0.84 | loss_kp_2d_mae: 2.081 | loss_kp_3d_mae: 3.916 | loss_kp_2d_short: 26.837 | loss_kp_3d_short: 12.631 | loss_accel_2d_mae: 0.070 | loss_accel_3d_mae: 0.485 | loss_accel_2d_short: 0.577 | loss_accel_3d_short: 0.678 | data: 0.01 | forward: 0.06 | loss: 0.00 | backward: 0.13 | batch: 0.20 2023-07-25 15:10:07,774 (159/159) | batch: 64.61ms | Total: 0:00:06 | ETA: 0:00:01 2023-07-25 15:13:33,088 (1000/1000) | Total: 0:03:25 | ETA: 0:00:01 | loss: 28.40 | 2d: 1.67 | 3d: 2.16 2d_short: 16.08 | 3d_short: 6.08 2d_mae_accel: 0.06 | 3d_mae_accel: 0.26 | 2d_short_accel: 0.42 | 3d_short_accel: 0.62 | loss_kp_2d_mae: 1.297 | loss_kp_3d_mae: 1.599 | loss_kp_2d_short: 10.310 | loss_kp_3d_short: 4.111 | loss_accel_2d_mae: 0.053 | loss_accel_3d_mae: 0.189 | loss_accel_2d_short: 0.300 | loss_accel_3d_short: 0.420 | data: 0.01 | forward: 0.05 | loss: 0.00 | backward: 0.13 | batch: 0.19 2023-07-25 15:13:39,469 (159/159) | batch: 63.23ms | Total: 0:00:06 | ETA: 0:00:01 2023-07-25 15:17:01,944 (1000/1000) | Total: 0:03:22 | ETA: 0:00:01 | loss: 15.58 | 2d: 1.36 | 3d: 1.46 2d_short: 8.02 | 3d_short: 3.19 2d_mae_accel: 0.05 | 3d_mae_accel: 0.15 | 2d_short_accel: 0.22 | 3d_short_accel: 0.33 | loss_kp_2d_mae: 1.191 | loss_kp_3d_mae: 1.225 | loss_kp_2d_short: 7.092 | loss_kp_3d_short: 2.587 | loss_accel_2d_mae: 0.045 | loss_accel_3d_mae: 0.119 | loss_accel_2d_short: 0.201 | loss_accel_3d_short: 0.258 | data: 0.01 | forward: 0.06 | loss: 0.00 | backward: 0.13 | batch: 0.20 2023-07-25 15:17:08,830 (159/159) | batch: 68.03ms | Total: 0:00:06 | ETA: 0:00:01 2023-07-25 15:20:34,218 (1000/1000) | Total: 0:03:25 | ETA: 0:00:01 | loss: 12.93 | 2d: 1.21 | 3d: 1.16 2d_short: 6.97 | 3d_short: 2.36 2d_mae_accel: 0.04 | 3d_mae_accel: 0.10 | 2d_short_accel: 0.19 | 3d_short_accel: 0.23 | loss_kp_2d_mae: 1.428 | loss_kp_3d_mae: 1.465 | loss_kp_2d_short: 6.597 | loss_kp_3d_short: 3.134 | loss_accel_2d_mae: 0.047 | loss_accel_3d_mae: 0.095 | loss_accel_2d_short: 0.178 | loss_accel_3d_short: 0.235 | data: 0.01 | forward: 0.06 | loss: 0.00 | backward: 0.14 | batch: 0.21 2023-07-25 15:20:41,115 (159/159) | batch: 68.3ms | Total: 0:00:06 | ETA: 0:00:01 2023-07-25 15:24:02,301 (1000/1000) | Total: 0:03:21 | ETA: 0:00:01 | loss: 11.25 | 2d: 1.16 | 3d: 1.01 2d_short: 6.11 | 3d_short: 1.91 2d_mae_accel: 0.04 | 3d_mae_accel: 0.08 | 2d_short_accel: 0.18 | 3d_short_accel: 0.17 | loss_kp_2d_mae: 0.958 | loss_kp_3d_mae: 0.830 | loss_kp_2d_short: 4.776 | loss_kp_3d_short: 1.700 | loss_accel_2d_mae: 0.035 | loss_accel_3d_mae: 0.066 | loss_accel_2d_short: 0.171 | loss_accel_3d_short: 0.159 | data: 0.01 | forward: 0.06 | loss: 0.00 | backward: 0.13 | batch: 0.20 2023-07-25 15:24:09,838 (159/159) | batch: 74.66ms | Total: 0:00:07 | ETA: 0:00:01 2023-07-25 15:27:28,475 (1000/1000) | Total: 0:03:18 | ETA: 0:00:01 | loss: 9.97 | 2d: 1.14 | 3d: 0.95 2d_short: 5.14 | 3d_short: 1.71 2d_mae_accel: 0.04 | 3d_mae_accel: 0.06 | 2d_short_accel: 0.15 | 3d_short_accel: 0.13 | loss_kp_2d_mae: 1.012 | loss_kp_3d_mae: 0.790 | loss_kp_2d_short: 4.263 | loss_kp_3d_short: 1.492 | loss_accel_2d_mae: 0.042 | loss_accel_3d_mae: 0.044 | loss_accel_2d_short: 0.131 | loss_accel_3d_short: 0.094 | data: 0.01 | forward: 0.06 | loss: 0.00 | backward: 0.13 | batch: 0.20 2023-07-25 15:27:35,410 (159/159) | batch: 68.65ms | Total: 0:00:06 | ETA: 0:00:01 2023-07-25 15:30:53,322 (1000/1000) | Total: 0:03:17 | ETA: 0:00:01 | loss: 8.18 | 2d: 1.11 | 3d: 0.88 2d_short: 3.82 | 3d_short: 1.51 2d_mae_accel: 0.04 | 3d_mae_accel: 0.05 | 2d_short_accel: 0.11 | 3d_short_accel: 0.10 | loss_kp_2d_mae: 0.943 | loss_kp_3d_mae: 0.598 | loss_kp_2d_short: 2.403 | loss_kp_3d_short: 0.924 | loss_accel_2d_mae: 0.039 | loss_accel_3d_mae: 0.043 | loss_accel_2d_short: 0.083 | loss_accel_3d_short: 0.077 | loss_pose_mae: 0.406 | loss_pose_short: 0.812 | loss_shape_mae: 0.020 | loss_shape_short: 0.048 | data: 0.01 | forward: 0.05 | loss: 0.01 | backward: 0.14 | batch: 0.20 2023-07-25 15:31:00,137 (159/159) | batch: 67.38ms | Total: 0:00:06 | ETA: 0:00:01 2023-07-25 15:34:22,794 (1000/1000) | Total: 0:03:22 | ETA: 0:00:01 | loss: 6.37 | 2d: 1.06 | 3d: 0.80 2d_short: 2.48 | 3d_short: 1.32 2d_mae_accel: 0.04 | 3d_mae_accel: 0.05 | 2d_short_accel: 0.07 | 3d_short_accel: 0.09 | loss_kp_2d_mae: 1.173 | loss_kp_3d_mae: 0.819 | loss_kp_2d_short: 2.789 | loss_kp_3d_short: 1.487 | loss_accel_2d_mae: 0.045 | loss_accel_3d_mae: 0.046 | loss_accel_2d_short: 0.064 | loss_accel_3d_short: 0.088 | loss_pose_mae: 0.702 | loss_pose_short: 1.570 | loss_shape_mae: 0.022 | loss_shape_short: 0.064 | data: 0.01 | forward: 0.06 | loss: 0.01 | backward: 0.13 | batch: 0.20 2023-07-25 15:34:29,680 (159/159) | batch: 68.02ms | Total: 0:00:06 | ETA: 0:00:01 2023-07-25 15:37:51,280 (1000/1000) | Total: 0:03:21 | ETA: 0:00:01 | loss: 5.60 | 2d: 1.05 | 3d: 0.76 2d_short: 1.88 | 3d_short: 1.22 2d_mae_accel: 0.04 | 3d_mae_accel: 0.04 | 2d_short_accel: 0.05 | 3d_short_accel: 0.08 | loss_kp_2d_mae: 0.895 | loss_kp_3d_mae: 0.690 | loss_kp_2d_short: 1.222 | loss_kp_3d_short: 0.984 | loss_accel_2d_mae: 0.040 | loss_accel_3d_mae: 0.037 | loss_accel_2d_short: 0.034 | loss_accel_3d_short: 0.063 | data: 0.01 | forward: 0.06 | loss: 0.00 | backward: 0.13 | batch: 0.20 2023-07-25 15:37:58,201 (159/159) | batch: 68.42ms | Total: 0:00:06 | ETA: 0:00:01 2023-07-25 15:41:18,984 (1000/1000) | Total: 0:03:20 | ETA: 0:00:01 | loss: 5.19 | 2d: 1.04 | 3d: 0.74 2d_short: 1.56 | 3d_short: 1.18 2d_mae_accel: 0.04 | 3d_mae_accel: 0.04 | 2d_short_accel: 0.04 | 3d_short_accel: 0.07 | loss_kp_2d_mae: 1.061 | loss_kp_3d_mae: 0.617 | loss_kp_2d_short: 1.320 | loss_kp_3d_short: 0.838 | loss_accel_2d_mae: 0.041 | loss_accel_3d_mae: 0.033 | loss_accel_2d_short: 0.036 | loss_accel_3d_short: 0.056 | data: 0.01 | forward: 0.06 | loss: 0.00 | backward: 0.12 | batch: 0.19 2023-07-25 15:41:25,715 (159/159) | batch: 66.55ms | Total: 0:00:06 | ETA: 0:00:01 2023-07-25 15:44:48,199 (1000/1000) | Total: 0:03:22 | ETA: 0:00:01 | loss: 4.77 | 2d: 1.01 | 3d: 0.70 2d_short: 1.30 | 3d_short: 1.09 2d_mae_accel: 0.04 | 3d_mae_accel: 0.04 | 2d_short_accel: 0.03 | 3d_short_accel: 0.06 | loss_kp_2d_mae: 1.054 | loss_kp_3d_mae: 0.652 | loss_kp_2d_short: 1.208 | loss_kp_3d_short: 0.999 | loss_accel_2d_mae: 0.038 | loss_accel_3d_mae: 0.035 | loss_accel_2d_short: 0.023 | loss_accel_3d_short: 0.061 | data: 0.01 | forward: 0.05 | loss: 0.00 | backward: 0.12 | batch: 0.19 2023-07-25 15:44:55,002 (159/159) | batch: 67.3ms | Total: 0:00:06 | ETA: 0:00:01 2023-07-25 15:48:15,095 (1000/1000) | Total: 0:03:20 | ETA: 0:00:01 | loss: 4.53 | 2d: 1.02 | 3d: 0.67 2d_short: 1.17 | 3d_short: 1.09 2d_mae_accel: 0.04 | 3d_mae_accel: 0.04 | 2d_short_accel: 0.02 | 3d_short_accel: 0.05 | loss_kp_2d_mae: 0.898 | loss_kp_3d_mae: 0.561 | loss_kp_2d_short: 0.813 | loss_kp_3d_short: 0.911 | loss_accel_2d_mae: 0.039 | loss_accel_3d_mae: 0.041 | loss_accel_2d_short: 0.015 | loss_accel_3d_short: 0.053 | data: 0.01 | forward: 0.06 | loss: 0.00 | backward: 0.14 | batch: 0.21 2023-07-25 15:48:22,074 (159/159) | batch: 69.0ms | Total: 0:00:06 | ETA: 0:00:01 2023-07-25 15:51:29,628 (1000/1000) | Total: 0:03:07 | ETA: 0:00:01 | loss: 4.45 | 2d: 1.01 | 3d: 0.60 2d_short: 1.14 | 3d_short: 1.05 2d_mae_accel: 0.04 | 3d_mae_accel: 0.04 | 2d_short_accel: 0.02 | 3d_short_accel: 0.05 | loss_kp_2d_mae: 0.904 | loss_kp_3d_mae: 0.777 | loss_kp_2d_short: 0.910 | loss_kp_3d_short: 1.360 | loss_accel_2d_mae: 0.037 | loss_accel_3d_mae: 0.043 | loss_accel_2d_short: 0.020 | loss_accel_3d_short: 0.040 | loss_pose_mae: 0.590 | loss_pose_short: 1.077 | loss_shape_mae: 0.030 | loss_shape_short: 0.038 | data: 0.01 | forward: 0.05 | loss: 0.01 | backward: 0.14 | batch: 0.21 2023-07-25 15:51:36,600 (159/159) | batch: 68.94ms | Total: 0:00:06 | ETA: 0:00:01 2023-07-25 15:54:57,736 (1000/1000) | Total: 0:03:21 | ETA: 0:00:01 | loss: 4.21 | 2d: 0.99 | 3d: 0.56 2d_short: 1.08 | 3d_short: 0.99 2d_mae_accel: 0.04 | 3d_mae_accel: 0.04 | 2d_short_accel: 0.02 | 3d_short_accel: 0.05 | loss_kp_2d_mae: 0.849 | loss_kp_3d_mae: 0.515 | loss_kp_2d_short: 0.828 | loss_kp_3d_short: 0.843 | loss_accel_2d_mae: 0.039 | loss_accel_3d_mae: 0.036 | loss_accel_2d_short: 0.018 | loss_accel_3d_short: 0.046 | data: 0.01 | forward: 0.06 | loss: 0.00 | backward: 0.13 | batch: 0.20 2023-07-25 15:55:04,908 (159/159) | batch: 70.9ms | Total: 0:00:07 | ETA: 0:00:01 2023-07-25 15:58:26,648 (1000/1000) | Total: 0:03:21 | ETA: 0:00:01 | loss: 4.12 | 2d: 0.96 | 3d: 0.54 2d_short: 1.04 | 3d_short: 0.96 2d_mae_accel: 0.04 | 3d_mae_accel: 0.04 | 2d_short_accel: 0.02 | 3d_short_accel: 0.04 | loss_kp_2d_mae: 1.002 | loss_kp_3d_mae: 0.611 | loss_kp_2d_short: 1.077 | loss_kp_3d_short: 1.035 | loss_accel_2d_mae: 0.041 | loss_accel_3d_mae: 0.034 | loss_accel_2d_short: 0.016 | loss_accel_3d_short: 0.037 | data: 0.01 | forward: 0.06 | loss: 0.00 | backward: 0.14 | batch: 0.21 2023-07-25 15:58:33,595 (159/159) | batch: 68.63ms | Total: 0:00:06 | ETA: 0:00:01 2023-07-25 16:01:54,146 (1000/1000) | Total: 0:03:20 | ETA: 0:00:01 | loss: 3.94 | 2d: 0.97 | 3d: 0.53 2d_short: 0.98 | 3d_short: 0.91 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.04 | loss_kp_2d_mae: 0.969 | loss_kp_3d_mae: 0.748 | loss_kp_2d_short: 1.068 | loss_kp_3d_short: 1.512 | loss_accel_2d_mae: 0.042 | loss_accel_3d_mae: 0.038 | loss_accel_2d_short: 0.020 | loss_accel_3d_short: 0.040 | data: 0.01 | forward: 0.05 | loss: 0.00 | backward: 0.12 | batch: 0.18 2023-07-25 16:02:01,128 (159/159) | batch: 68.88ms | Total: 0:00:06 | ETA: 0:00:01 2023-07-25 16:05:23,253 (1000/1000) | Total: 0:03:22 | ETA: 0:00:01 | loss: 3.89 | 2d: 0.96 | 3d: 0.51 2d_short: 0.98 | 3d_short: 0.87 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.03 | loss_kp_2d_mae: 0.939 | loss_kp_3d_mae: 0.410 | loss_kp_2d_short: 0.886 | loss_kp_3d_short: 0.703 | loss_accel_2d_mae: 0.042 | loss_accel_3d_mae: 0.031 | loss_accel_2d_short: 0.019 | loss_accel_3d_short: 0.029 | data: 0.01 | forward: 0.05 | loss: 0.00 | backward: 0.13 | batch: 0.19 2023-07-25 16:05:30,377 (159/159) | batch: 70.5ms | Total: 0:00:07 | ETA: 0:00:01 2023-07-25 16:08:50,278 (1000/1000) | Total: 0:03:19 | ETA: 0:00:01 | loss: 3.78 | 2d: 0.96 | 3d: 0.50 2d_short: 0.97 | 3d_short: 0.85 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.03 | loss_kp_2d_mae: 0.848 | loss_kp_3d_mae: 0.578 | loss_kp_2d_short: 0.965 | loss_kp_3d_short: 0.822 | loss_accel_2d_mae: 0.038 | loss_accel_3d_mae: 0.038 | loss_accel_2d_short: 0.024 | loss_accel_3d_short: 0.031 | loss_pose_mae: 0.544 | loss_pose_short: 0.755 | loss_shape_mae: 0.010 | loss_shape_short: 0.032 | data: 0.01 | forward: 0.06 | loss: 0.01 | backward: 0.12 | batch: 0.19 2023-07-25 16:08:57,341 (159/159) | batch: 69.85ms | Total: 0:00:06 | ETA: 0:00:01 2023-07-25 16:12:18,688 (1000/1000) | Total: 0:03:21 | ETA: 0:00:01 | loss: 3.79 | 2d: 0.95 | 3d: 0.50 2d_short: 0.92 | 3d_short: 0.85 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.03 | loss_kp_2d_mae: 0.758 | loss_kp_3d_mae: 0.476 | loss_kp_2d_short: 0.631 | loss_kp_3d_short: 0.845 | loss_accel_2d_mae: 0.038 | loss_accel_3d_mae: 0.033 | loss_accel_2d_short: 0.017 | loss_accel_3d_short: 0.073 | loss_pose_mae: 0.664 | loss_pose_short: 1.294 | loss_shape_mae: 0.027 | loss_shape_short: 0.058 | data: 0.01 | forward: 0.05 | loss: 0.01 | backward: 0.11 | batch: 0.18 2023-07-25 16:12:25,781 (159/159) | batch: 70.08ms | Total: 0:00:07 | ETA: 0:00:01 2023-07-25 16:15:47,458 (1000/1000) | Total: 0:03:21 | ETA: 0:00:01 | loss: 3.69 | 2d: 0.95 | 3d: 0.49 2d_short: 0.93 | 3d_short: 0.81 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.03 | loss_kp_2d_mae: 0.866 | loss_kp_3d_mae: 0.386 | loss_kp_2d_short: 0.884 | loss_kp_3d_short: 0.635 | loss_accel_2d_mae: 0.040 | loss_accel_3d_mae: 0.028 | loss_accel_2d_short: 0.018 | loss_accel_3d_short: 0.022 | loss_pose_mae: 0.390 | loss_pose_short: 0.671 | loss_shape_mae: 0.035 | loss_shape_short: 0.039 | data: 0.01 | forward: 0.06 | loss: 0.01 | backward: 0.14 | batch: 0.21 2023-07-25 16:15:54,450 (159/159) | batch: 69.03ms | Total: 0:00:06 | ETA: 0:00:01 2023-07-25 16:19:15,508 (1000/1000) | Total: 0:03:21 | ETA: 0:00:01 | loss: 3.58 | 2d: 0.94 | 3d: 0.47 2d_short: 0.85 | 3d_short: 0.78 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.03 | loss_kp_2d_mae: 0.916 | loss_kp_3d_mae: 0.519 | loss_kp_2d_short: 0.896 | loss_kp_3d_short: 0.746 | loss_accel_2d_mae: 0.040 | loss_accel_3d_mae: 0.033 | loss_accel_2d_short: 0.014 | loss_accel_3d_short: 0.033 | loss_pose_mae: 0.799 | loss_pose_short: 1.296 | loss_shape_mae: 0.016 | loss_shape_short: 0.025 | data: 0.01 | forward: 0.05 | loss: 0.01 | backward: 0.14 | batch: 0.21 2023-07-25 16:19:22,478 (159/159) | batch: 68.98ms | Total: 0:00:06 | ETA: 0:00:01 2023-07-25 16:22:42,032 (1000/1000) | Total: 0:03:19 | ETA: 0:00:01 | loss: 3.55 | 2d: 0.93 | 3d: 0.47 2d_short: 0.87 | 3d_short: 0.77 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.02 | loss_kp_2d_mae: 0.852 | loss_kp_3d_mae: 0.390 | loss_kp_2d_short: 0.696 | loss_kp_3d_short: 0.707 | loss_accel_2d_mae: 0.035 | loss_accel_3d_mae: 0.028 | loss_accel_2d_short: 0.015 | loss_accel_3d_short: 0.024 | data: 0.01 | forward: 0.05 | loss: 0.00 | backward: 0.12 | batch: 0.19 2023-07-25 16:22:49,004 (159/159) | batch: 68.93ms | Total: 0:00:06 | ETA: 0:00:01 2023-07-25 16:26:06,964 (1000/1000) | Total: 0:03:17 | ETA: 0:00:01 | loss: 3.47 | 2d: 0.93 | 3d: 0.46 2d_short: 0.86 | 3d_short: 0.75 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.02 | loss_kp_2d_mae: 0.893 | loss_kp_3d_mae: 0.400 | loss_kp_2d_short: 1.030 | loss_kp_3d_short: 0.698 | loss_accel_2d_mae: 0.034 | loss_accel_3d_mae: 0.026 | loss_accel_2d_short: 0.016 | loss_accel_3d_short: 0.019 | data: 0.01 | forward: 0.06 | loss: 0.00 | backward: 0.13 | batch: 0.20 2023-07-25 16:26:14,176 (159/159) | batch: 71.26ms | Total: 0:00:07 | ETA: 0:00:01 2023-07-25 16:29:30,894 (1000/1000) | Total: 0:03:16 | ETA: 0:00:01 | loss: 3.45 | 2d: 0.92 | 3d: 0.45 2d_short: 0.84 | 3d_short: 0.74 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.02 | loss_kp_2d_mae: 0.812 | loss_kp_3d_mae: 0.389 | loss_kp_2d_short: 0.717 | loss_kp_3d_short: 0.621 | loss_accel_2d_mae: 0.035 | loss_accel_3d_mae: 0.032 | loss_accel_2d_short: 0.010 | loss_accel_3d_short: 0.020 | data: 0.01 | forward: 0.06 | loss: 0.00 | backward: 0.13 | batch: 0.20 2023-07-25 16:29:37,809 (159/159) | batch: 68.31ms | Total: 0:00:06 | ETA: 0:00:01 2023-07-25 16:32:56,556 (1000/1000) | Total: 0:03:18 | ETA: 0:00:01 | loss: 3.43 | 2d: 0.91 | 3d: 0.46 2d_short: 0.83 | 3d_short: 0.74 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.02 | loss_kp_2d_mae: 0.801 | loss_kp_3d_mae: 0.377 | loss_kp_2d_short: 0.587 | loss_kp_3d_short: 0.583 | loss_accel_2d_mae: 0.034 | loss_accel_3d_mae: 0.030 | loss_accel_2d_short: 0.014 | loss_accel_3d_short: 0.021 | data: 0.01 | forward: 0.05 | loss: 0.00 | backward: 0.12 | batch: 0.19 2023-07-25 16:33:03,479 (159/159) | batch: 68.41ms | Total: 0:00:06 | ETA: 0:00:01 2023-07-25 16:33:10,177 Epoch 24, MPJPE: 85.2377, PA-MPJPE: 57.4650, ACCEL: 4.3445, PVE: 102.8135, ACCEL_ERR: 8.9979, 2023-07-25 16:33:10,178 Epoch 25 performance: 57.4650 2023-07-25 16:33:10,315 Best performance achived, saving it! 2023-07-25 16:36:26,941 (1000/1000) | Total: 0:03:16 | ETA: 0:00:01 | loss: 3.41 | 2d: 0.91 | 3d: 0.44 2d_short: 0.81 | 3d_short: 0.72 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.03 | loss_kp_2d_mae: 0.873 | loss_kp_3d_mae: 0.362 | loss_kp_2d_short: 0.739 | loss_kp_3d_short: 0.620 | loss_accel_2d_mae: 0.036 | loss_accel_3d_mae: 0.028 | loss_accel_2d_short: 0.019 | loss_accel_3d_short: 0.015 | data: 0.01 | forward: 0.06 | loss: 0.00 | backward: 0.10 | batch: 0.18 2023-07-25 16:36:33,968 (159/159) | batch: 69.43ms | Total: 0:00:06 | ETA: 0:00:01 2023-07-25 16:36:40,992 Epoch 25, MPJPE: 85.0714, PA-MPJPE: 56.9273, ACCEL: 4.3721, PVE: 101.9764, ACCEL_ERR: 9.0589, 2023-07-25 16:36:40,992 Epoch 26 performance: 56.9273 2023-07-25 16:36:41,325 Best performance achived, saving it! 2023-07-25 16:39:59,893 (1000/1000) | Total: 0:03:18 | ETA: 0:00:01 | loss: 3.46 | 2d: 0.92 | 3d: 0.45 2d_short: 0.85 | 3d_short: 0.72 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.02 | loss_kp_2d_mae: 0.886 | loss_kp_3d_mae: 0.347 | loss_kp_2d_short: 0.885 | loss_kp_3d_short: 0.583 | loss_accel_2d_mae: 0.042 | loss_accel_3d_mae: 0.023 | loss_accel_2d_short: 0.015 | loss_accel_3d_short: 0.014 | data: 0.01 | forward: 0.07 | loss: 0.00 | backward: 0.14 | batch: 0.22 2023-07-25 16:40:06,966 (159/159) | batch: 69.96ms | Total: 0:00:06 | ETA: 0:00:01 2023-07-25 16:40:13,875 Epoch 26, MPJPE: 81.4788, PA-MPJPE: 55.6698, ACCEL: 4.3870, PVE: 99.0778, ACCEL_ERR: 8.9814, 2023-07-25 16:40:13,876 Epoch 27 performance: 55.6698 2023-07-25 16:40:14,197 Best performance achived, saving it! 2023-07-25 16:43:36,309 (1000/1000) | Total: 0:03:21 | ETA: 0:00:01 | loss: 3.23 | 2d: 0.92 | 3d: 0.43 2d_short: 0.78 | 3d_short: 0.68 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.02 | loss_kp_2d_mae: 0.785 | loss_kp_3d_mae: 0.408 | loss_kp_2d_short: 0.682 | loss_kp_3d_short: 0.637 | loss_accel_2d_mae: 0.037 | loss_accel_3d_mae: 0.029 | loss_accel_2d_short: 0.014 | loss_accel_3d_short: 0.018 | data: 0.01 | forward: 0.06 | loss: 0.00 | backward: 0.13 | batch: 0.20 2023-07-25 16:43:43,267 (159/159) | batch: 68.92ms | Total: 0:00:06 | ETA: 0:00:01 2023-07-25 16:43:50,391 Epoch 27, MPJPE: 83.4710, PA-MPJPE: 56.3840, ACCEL: 4.6649, PVE: 102.9787, ACCEL_ERR: 9.1579, 2023-07-25 16:43:50,392 Epoch 28 performance: 56.3840 2023-07-25 16:47:15,031 (1000/1000) | Total: 0:03:24 | ETA: 0:00:01 | loss: 3.28 | 2d: 0.90 | 3d: 0.43 2d_short: 0.77 | 3d_short: 0.68 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.02 | loss_kp_2d_mae: 0.865 | loss_kp_3d_mae: 0.360 | loss_kp_2d_short: 0.805 | loss_kp_3d_short: 0.528 | loss_accel_2d_mae: 0.039 | loss_accel_3d_mae: 0.030 | loss_accel_2d_short: 0.020 | loss_accel_3d_short: 0.015 | data: 0.01 | forward: 0.06 | loss: 0.00 | backward: 0.12 | batch: 0.19 2023-07-25 16:47:22,077 (159/159) | batch: 69.58ms | Total: 0:00:06 | ETA: 0:00:01 2023-07-25 16:47:29,065 Epoch 28, MPJPE: 81.3265, PA-MPJPE: 56.5796, ACCEL: 4.5845, PVE: 99.6933, ACCEL_ERR: 9.1398, 2023-07-25 16:47:29,066 Epoch 29 performance: 56.5796 2023-07-25 16:50:54,105 (1000/1000) | Total: 0:03:24 | ETA: 0:00:01 | loss: 3.22 | 2d: 0.91 | 3d: 0.42 2d_short: 0.77 | 3d_short: 0.66 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.02 | loss_kp_2d_mae: 0.822 | loss_kp_3d_mae: 0.520 | loss_kp_2d_short: 0.548 | loss_kp_3d_short: 0.837 | loss_accel_2d_mae: 0.036 | loss_accel_3d_mae: 0.039 | loss_accel_2d_short: 0.011 | loss_accel_3d_short: 0.024 | data: 0.01 | forward: 0.06 | loss: 0.00 | backward: 0.13 | batch: 0.21 2023-07-25 16:51:01,101 (159/159) | batch: 69.28ms | Total: 0:00:06 | ETA: 0:00:01 2023-07-25 16:51:08,160 Epoch 29, MPJPE: 83.1563, PA-MPJPE: 55.5198, ACCEL: 4.6985, PVE: 100.2552, ACCEL_ERR: 9.1474, 2023-07-25 16:51:08,161 Epoch 30 performance: 55.5198 2023-07-25 16:51:08,480 Best performance achived, saving it! 2023-07-25 16:54:34,013 (1000/1000) | Total: 0:03:25 | ETA: 0:00:01 | loss: 3.20 | 2d: 0.90 | 3d: 0.41 2d_short: 0.78 | 3d_short: 0.65 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.02 | loss_kp_2d_mae: 0.780 | loss_kp_3d_mae: 0.339 | loss_kp_2d_short: 0.660 | loss_kp_3d_short: 0.493 | loss_accel_2d_mae: 0.039 | loss_accel_3d_mae: 0.025 | loss_accel_2d_short: 0.019 | loss_accel_3d_short: 0.014 | data: 0.01 | forward: 0.06 | loss: 0.00 | backward: 0.13 | batch: 0.20 2023-07-25 16:54:41,168 (159/159) | batch: 70.78ms | Total: 0:00:07 | ETA: 0:00:01 2023-07-25 16:54:48,177 Epoch 30, MPJPE: 81.4301, PA-MPJPE: 54.4070, ACCEL: 4.5278, PVE: 98.1848, ACCEL_ERR: 9.0523, 2023-07-25 16:54:48,178 Epoch 31 performance: 54.4070 2023-07-25 16:54:48,455 Best performance achived, saving it! 2023-07-25 16:58:15,001 (1000/1000) | Total: 0:03:26 | ETA: 0:00:01 | loss: 3.14 | 2d: 0.88 | 3d: 0.41 2d_short: 0.74 | 3d_short: 0.65 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.02 | loss_kp_2d_mae: 0.899 | loss_kp_3d_mae: 0.432 | loss_kp_2d_short: 0.764 | loss_kp_3d_short: 0.657 | loss_accel_2d_mae: 0.038 | loss_accel_3d_mae: 0.030 | loss_accel_2d_short: 0.017 | loss_accel_3d_short: 0.019 | data: 0.01 | forward: 0.06 | loss: 0.00 | backward: 0.13 | batch: 0.20 2023-07-25 16:58:22,057 (159/159) | batch: 69.69ms | Total: 0:00:06 | ETA: 0:00:01 2023-07-25 16:58:29,101 Epoch 31, MPJPE: 82.1754, PA-MPJPE: 56.3254, ACCEL: 4.2773, PVE: 99.7758, ACCEL_ERR: 8.9022, 2023-07-25 16:58:29,102 Epoch 32 performance: 56.3254 2023-07-25 17:01:55,413 (1000/1000) | Total: 0:03:25 | ETA: 0:00:01 | loss: 3.12 | 2d: 0.89 | 3d: 0.40 2d_short: 0.76 | 3d_short: 0.63 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.02 | loss_kp_2d_mae: 0.771 | loss_kp_3d_mae: 0.522 | loss_kp_2d_short: 0.796 | loss_kp_3d_short: 0.790 | loss_accel_2d_mae: 0.034 | loss_accel_3d_mae: 0.040 | loss_accel_2d_short: 0.016 | loss_accel_3d_short: 0.025 | data: 0.01 | forward: 0.06 | loss: 0.00 | backward: 0.13 | batch: 0.21 2023-07-25 17:02:02,594 (159/159) | batch: 70.93ms | Total: 0:00:07 | ETA: 0:00:01 2023-07-25 17:02:09,868 Epoch 32, MPJPE: 81.8072, PA-MPJPE: 54.1606, ACCEL: 4.6995, PVE: 98.4919, ACCEL_ERR: 9.1435, 2023-07-25 17:02:09,869 Epoch 33 performance: 54.1606 2023-07-25 17:02:10,205 Best performance achived, saving it! 2023-07-25 17:05:38,239 (1000/1000) | Total: 0:03:27 | ETA: 0:00:01 | loss: 3.08 | 2d: 0.89 | 3d: 0.40 2d_short: 0.72 | 3d_short: 0.62 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.02 | loss_kp_2d_mae: 0.758 | loss_kp_3d_mae: 0.470 | loss_kp_2d_short: 0.515 | loss_kp_3d_short: 0.744 | loss_accel_2d_mae: 0.038 | loss_accel_3d_mae: 0.025 | loss_accel_2d_short: 0.012 | loss_accel_3d_short: 0.014 | data: 0.01 | forward: 0.07 | loss: 0.00 | backward: 0.11 | batch: 0.19 2023-07-25 17:05:45,336 (159/159) | batch: 70.23ms | Total: 0:00:07 | ETA: 0:00:01 2023-07-25 17:05:52,401 Epoch 33, MPJPE: 81.9579, PA-MPJPE: 55.5249, ACCEL: 4.2378, PVE: 100.7078, ACCEL_ERR: 8.8423, 2023-07-25 17:05:52,402 Epoch 34 performance: 55.5249 2023-07-25 17:09:19,224 (1000/1000) | Total: 0:03:26 | ETA: 0:00:01 | loss: 3.05 | 2d: 0.90 | 3d: 0.39 2d_short: 0.72 | 3d_short: 0.61 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.02 | loss_kp_2d_mae: 0.911 | loss_kp_3d_mae: 0.358 | loss_kp_2d_short: 0.791 | loss_kp_3d_short: 0.467 | loss_accel_2d_mae: 0.041 | loss_accel_3d_mae: 0.026 | loss_accel_2d_short: 0.020 | loss_accel_3d_short: 0.013 | data: 0.01 | forward: 0.07 | loss: 0.00 | backward: 0.12 | batch: 0.20 2023-07-25 17:09:26,344 (159/159) | batch: 70.48ms | Total: 0:00:07 | ETA: 0:00:01 2023-07-25 17:09:33,269 Epoch 34, MPJPE: 81.6683, PA-MPJPE: 55.6406, ACCEL: 4.0666, PVE: 99.2426, ACCEL_ERR: 8.7454, 2023-07-25 17:09:33,270 Epoch 35 performance: 55.6406 2023-07-25 17:13:00,846 (1000/1000) | Total: 0:03:27 | ETA: 0:00:01 | loss: 2.99 | 2d: 0.88 | 3d: 0.39 2d_short: 0.70 | 3d_short: 0.61 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.02 | loss_kp_2d_mae: 0.773 | loss_kp_3d_mae: 0.316 | loss_kp_2d_short: 0.581 | loss_kp_3d_short: 0.528 | loss_accel_2d_mae: 0.037 | loss_accel_3d_mae: 0.024 | loss_accel_2d_short: 0.011 | loss_accel_3d_short: 0.011 | data: 0.01 | forward: 0.06 | loss: 0.00 | backward: 0.13 | batch: 0.21 2023-07-25 17:13:08,046 (159/159) | batch: 71.04ms | Total: 0:00:07 | ETA: 0:00:01 2023-07-25 17:13:15,019 Epoch 35, MPJPE: 79.4786, PA-MPJPE: 54.7073, ACCEL: 4.2309, PVE: 96.9786, ACCEL_ERR: 8.8062, 2023-07-25 17:13:15,020 Epoch 36 performance: 54.7073 2023-07-25 17:16:40,521 (1000/1000) | Total: 0:03:25 | ETA: 0:00:01 | loss: 3.01 | 2d: 0.88 | 3d: 0.39 2d_short: 0.70 | 3d_short: 0.60 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.02 | loss_kp_2d_mae: 0.890 | loss_kp_3d_mae: 0.293 | loss_kp_2d_short: 0.892 | loss_kp_3d_short: 0.443 | loss_accel_2d_mae: 0.037 | loss_accel_3d_mae: 0.027 | loss_accel_2d_short: 0.014 | loss_accel_3d_short: 0.013 | loss_pose_mae: 0.209 | loss_pose_short: 0.316 | loss_shape_mae: 0.005 | loss_shape_short: 0.006 | data: 0.01 | forward: 0.06 | loss: 0.01 | backward: 0.14 | batch: 0.22 2023-07-25 17:16:47,684 (159/159) | batch: 70.83ms | Total: 0:00:07 | ETA: 0:00:01 2023-07-25 17:16:54,662 Epoch 36, MPJPE: 81.4221, PA-MPJPE: 55.0074, ACCEL: 4.3271, PVE: 98.9294, ACCEL_ERR: 8.8822, 2023-07-25 17:16:54,663 Epoch 37 performance: 55.0074 2023-07-25 17:20:19,351 (1000/1000) | Total: 0:03:24 | ETA: 0:00:01 | loss: 3.03 | 2d: 0.88 | 3d: 0.39 2d_short: 0.71 | 3d_short: 0.60 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.02 | loss_kp_2d_mae: 0.818 | loss_kp_3d_mae: 0.365 | loss_kp_2d_short: 0.857 | loss_kp_3d_short: 0.601 | loss_accel_2d_mae: 0.038 | loss_accel_3d_mae: 0.031 | loss_accel_2d_short: 0.015 | loss_accel_3d_short: 0.017 | data: 0.01 | forward: 0.07 | loss: 0.00 | backward: 0.12 | batch: 0.20 2023-07-25 17:20:26,382 (159/159) | batch: 69.62ms | Total: 0:00:06 | ETA: 0:00:01 2023-07-25 17:20:33,354 Epoch 37, MPJPE: 80.9129, PA-MPJPE: 54.4752, ACCEL: 4.2970, PVE: 97.3225, ACCEL_ERR: 8.8349, 2023-07-25 17:20:33,355 Epoch 38 performance: 54.4752 2023-07-25 17:23:53,916 (1000/1000) | Total: 0:03:20 | ETA: 0:00:01 | loss: 2.95 | 2d: 0.88 | 3d: 0.38 2d_short: 0.68 | 3d_short: 0.58 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.02 | loss_kp_2d_mae: 0.753 | loss_kp_3d_mae: 0.449 | loss_kp_2d_short: 0.610 | loss_kp_3d_short: 0.767 | loss_accel_2d_mae: 0.034 | loss_accel_3d_mae: 0.032 | loss_accel_2d_short: 0.011 | loss_accel_3d_short: 0.017 | data: 0.01 | forward: 0.07 | loss: 0.00 | backward: 0.12 | batch: 0.19 2023-07-25 17:24:00,916 (159/159) | batch: 69.22ms | Total: 0:00:06 | ETA: 0:00:01 2023-07-25 17:24:07,826 Epoch 38, MPJPE: 81.5450, PA-MPJPE: 55.6191, ACCEL: 4.3525, PVE: 99.3135, ACCEL_ERR: 8.9067, 2023-07-25 17:24:07,827 Epoch 39 performance: 55.6191 2023-07-25 17:27:34,219 (1000/1000) | Total: 0:03:26 | ETA: 0:00:01 | loss: 2.88 | 2d: 0.87 | 3d: 0.38 2d_short: 0.67 | 3d_short: 0.57 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.02 | loss_kp_2d_mae: 0.901 | loss_kp_3d_mae: 0.360 | loss_kp_2d_short: 0.730 | loss_kp_3d_short: 0.528 | loss_accel_2d_mae: 0.037 | loss_accel_3d_mae: 0.030 | loss_accel_2d_short: 0.015 | loss_accel_3d_short: 0.016 | loss_pose_mae: 0.472 | loss_pose_short: 0.794 | loss_shape_mae: 0.006 | loss_shape_short: 0.005 | data: 0.01 | forward: 0.06 | loss: 0.01 | backward: 0.14 | batch: 0.21 2023-07-25 17:27:41,653 (159/159) | batch: 73.36ms | Total: 0:00:07 | ETA: 0:00:01 2023-07-25 17:27:48,624 Epoch 39, MPJPE: 80.7027, PA-MPJPE: 54.8770, ACCEL: 4.3117, PVE: 97.9832, ACCEL_ERR: 8.8365, 2023-07-25 17:27:48,625 Epoch 40 performance: 54.8770 2023-07-25 17:31:13,961 (1000/1000) | Total: 0:03:25 | ETA: 0:00:01 | loss: 2.92 | 2d: 0.88 | 3d: 0.38 2d_short: 0.68 | 3d_short: 0.58 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.02 | loss_kp_2d_mae: 0.874 | loss_kp_3d_mae: 0.345 | loss_kp_2d_short: 0.494 | loss_kp_3d_short: 0.556 | loss_accel_2d_mae: 0.038 | loss_accel_3d_mae: 0.024 | loss_accel_2d_short: 0.014 | loss_accel_3d_short: 0.013 | loss_pose_mae: 0.482 | loss_pose_short: 0.830 | loss_shape_mae: 0.006 | loss_shape_short: 0.006 | data: 0.01 | forward: 0.06 | loss: 0.01 | backward: 0.14 | batch: 0.22 2023-07-25 17:31:21,010 (159/159) | batch: 69.67ms | Total: 0:00:06 | ETA: 0:00:01 2023-07-25 17:31:27,949 Epoch 40, MPJPE: 78.7119, PA-MPJPE: 53.5656, ACCEL: 4.0843, PVE: 95.8849, ACCEL_ERR: 8.7005, 2023-07-25 17:31:27,950 Epoch 41 performance: 53.5656 2023-07-25 17:31:28,263 Best performance achived, saving it! 2023-07-25 17:34:48,961 (1000/1000) | Total: 0:03:20 | ETA: 0:00:01 | loss: 2.93 | 2d: 0.88 | 3d: 0.38 2d_short: 0.66 | 3d_short: 0.58 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.02 | loss_kp_2d_mae: 0.832 | loss_kp_3d_mae: 0.328 | loss_kp_2d_short: 0.560 | loss_kp_3d_short: 0.446 | loss_accel_2d_mae: 0.040 | loss_accel_3d_mae: 0.026 | loss_accel_2d_short: 0.012 | loss_accel_3d_short: 0.012 | data: 0.01 | forward: 0.06 | loss: 0.00 | backward: 0.12 | batch: 0.19 2023-07-25 17:34:55,947 (159/159) | batch: 69.13ms | Total: 0:00:06 | ETA: 0:00:01 2023-07-25 17:35:03,182 Epoch 41, MPJPE: 79.0768, PA-MPJPE: 53.5054, ACCEL: 4.1824, PVE: 96.0614, ACCEL_ERR: 8.7886, 2023-07-25 17:35:03,183 Epoch 42 performance: 53.5054 2023-07-25 17:35:03,527 Best performance achived, saving it! 2023-07-25 17:38:24,492 (1000/1000) | Total: 0:03:20 | ETA: 0:00:01 | loss: 2.90 | 2d: 0.87 | 3d: 0.37 2d_short: 0.66 | 3d_short: 0.57 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.02 | loss_kp_2d_mae: 0.776 | loss_kp_3d_mae: 0.317 | loss_kp_2d_short: 0.593 | loss_kp_3d_short: 0.435 | loss_accel_2d_mae: 0.037 | loss_accel_3d_mae: 0.024 | loss_accel_2d_short: 0.018 | loss_accel_3d_short: 0.013 | data: 0.01 | forward: 0.06 | loss: 0.00 | backward: 0.12 | batch: 0.19 2023-07-25 17:38:32,111 (159/159) | batch: 75.41ms | Total: 0:00:07 | ETA: 0:00:01 2023-07-25 17:38:39,168 Epoch 42, MPJPE: 79.5454, PA-MPJPE: 54.2540, ACCEL: 4.0599, PVE: 96.4935, ACCEL_ERR: 8.7261, 2023-07-25 17:38:39,169 Epoch 43 performance: 54.2540 2023-07-25 17:42:03,457 (1000/1000) | Total: 0:03:23 | ETA: 0:00:01 | loss: 2.86 | 2d: 0.87 | 3d: 0.37 2d_short: 0.65 | 3d_short: 0.56 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.02 | loss_kp_2d_mae: 0.838 | loss_kp_3d_mae: 0.252 | loss_kp_2d_short: 0.546 | loss_kp_3d_short: 0.397 | loss_accel_2d_mae: 0.045 | loss_accel_3d_mae: 0.024 | loss_accel_2d_short: 0.021 | loss_accel_3d_short: 0.013 | loss_pose_mae: 0.327 | loss_pose_short: 0.575 | loss_shape_mae: 0.003 | loss_shape_short: 0.005 | data: 0.01 | forward: 0.06 | loss: 0.01 | backward: 0.12 | batch: 0.20 2023-07-25 17:42:10,565 (159/159) | batch: 70.15ms | Total: 0:00:07 | ETA: 0:00:01 2023-07-25 17:42:17,392 Epoch 43, MPJPE: 80.7814, PA-MPJPE: 54.5233, ACCEL: 4.1778, PVE: 98.1032, ACCEL_ERR: 8.7700, 2023-07-25 17:42:17,393 Epoch 44 performance: 54.5233 2023-07-25 17:45:45,120 (1000/1000) | Total: 0:03:27 | ETA: 0:00:01 | loss: 2.93 | 2d: 0.88 | 3d: 0.37 2d_short: 0.66 | 3d_short: 0.57 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.02 | loss_kp_2d_mae: 0.809 | loss_kp_3d_mae: 0.293 | loss_kp_2d_short: 0.564 | loss_kp_3d_short: 0.409 | loss_accel_2d_mae: 0.039 | loss_accel_3d_mae: 0.028 | loss_accel_2d_short: 0.018 | loss_accel_3d_short: 0.019 | loss_pose_mae: 0.811 | loss_pose_short: 1.265 | loss_shape_mae: 0.036 | loss_shape_short: 0.069 | data: 0.01 | forward: 0.07 | loss: 0.00 | backward: 0.13 | batch: 0.21 2023-07-25 17:45:52,071 (159/159) | batch: 68.83ms | Total: 0:00:06 | ETA: 0:00:01 2023-07-25 17:45:59,077 Epoch 44, MPJPE: 79.7429, PA-MPJPE: 54.0235, ACCEL: 4.1447, PVE: 97.0212, ACCEL_ERR: 8.7708, 2023-07-25 17:45:59,078 Epoch 45 performance: 54.0235 2023-07-25 17:49:28,014 (1000/1000) | Total: 0:03:28 | ETA: 0:00:01 | loss: 2.81 | 2d: 0.86 | 3d: 0.36 2d_short: 0.65 | 3d_short: 0.55 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.02 | loss_kp_2d_mae: 0.802 | loss_kp_3d_mae: 0.428 | loss_kp_2d_short: 0.532 | loss_kp_3d_short: 0.648 | loss_accel_2d_mae: 0.035 | loss_accel_3d_mae: 0.028 | loss_accel_2d_short: 0.008 | loss_accel_3d_short: 0.016 | data: 0.01 | forward: 0.07 | loss: 0.00 | backward: 0.14 | batch: 0.21 2023-07-25 17:49:35,095 (159/159) | batch: 69.93ms | Total: 0:00:06 | ETA: 0:00:01 2023-07-25 17:49:42,012 Epoch 45, MPJPE: 78.4940, PA-MPJPE: 53.5774, ACCEL: 4.0479, PVE: 94.9888, ACCEL_ERR: 8.6715, 2023-07-25 17:49:42,013 Epoch 46 performance: 53.5774 2023-07-25 17:53:12,547 (1000/1000) | Total: 0:03:30 | ETA: 0:00:01 | loss: 2.82 | 2d: 0.86 | 3d: 0.37 2d_short: 0.64 | 3d_short: 0.55 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.01 | loss_kp_2d_mae: 0.811 | loss_kp_3d_mae: 0.366 | loss_kp_2d_short: 0.634 | loss_kp_3d_short: 0.488 | loss_accel_2d_mae: 0.036 | loss_accel_3d_mae: 0.031 | loss_accel_2d_short: 0.012 | loss_accel_3d_short: 0.018 | data: 0.01 | forward: 0.06 | loss: 0.00 | backward: 0.13 | batch: 0.20 2023-07-25 17:53:19,622 (159/159) | batch: 70.06ms | Total: 0:00:07 | ETA: 0:00:01 2023-07-25 17:53:26,596 Epoch 46, MPJPE: 79.0407, PA-MPJPE: 53.8125, ACCEL: 4.0298, PVE: 96.4762, ACCEL_ERR: 8.6823, 2023-07-25 17:53:26,597 Epoch 47 performance: 53.8125 2023-07-25 17:56:55,398 (1000/1000) | Total: 0:03:28 | ETA: 0:00:01 | loss: 2.80 | 2d: 0.87 | 3d: 0.36 2d_short: 0.64 | 3d_short: 0.54 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.01 | loss_kp_2d_mae: 0.789 | loss_kp_3d_mae: 0.306 | loss_kp_2d_short: 0.548 | loss_kp_3d_short: 0.419 | loss_accel_2d_mae: 0.040 | loss_accel_3d_mae: 0.029 | loss_accel_2d_short: 0.014 | loss_accel_3d_short: 0.013 | data: 0.01 | forward: 0.06 | loss: 0.00 | backward: 0.14 | batch: 0.21 2023-07-25 17:57:02,618 (159/159) | batch: 71.28ms | Total: 0:00:07 | ETA: 0:00:01 2023-07-25 17:57:09,493 Epoch 47, MPJPE: 78.9347, PA-MPJPE: 53.9393, ACCEL: 4.0543, PVE: 96.4043, ACCEL_ERR: 8.7078, 2023-07-25 17:57:09,494 Epoch 48 performance: 53.9393 2023-07-25 18:00:39,700 (1000/1000) | Total: 0:03:29 | ETA: 0:00:01 | loss: 2.85 | 2d: 0.87 | 3d: 0.37 2d_short: 0.64 | 3d_short: 0.55 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.02 | loss_kp_2d_mae: 0.773 | loss_kp_3d_mae: 0.374 | loss_kp_2d_short: 0.602 | loss_kp_3d_short: 0.596 | loss_accel_2d_mae: 0.036 | loss_accel_3d_mae: 0.027 | loss_accel_2d_short: 0.015 | loss_accel_3d_short: 0.012 | data: 0.01 | forward: 0.06 | loss: 0.00 | backward: 0.14 | batch: 0.21 2023-07-25 18:00:46,815 (159/159) | batch: 70.36ms | Total: 0:00:07 | ETA: 0:00:01 2023-07-25 18:00:54,210 Epoch 48, MPJPE: 78.7205, PA-MPJPE: 53.4496, ACCEL: 4.0427, PVE: 95.7948, ACCEL_ERR: 8.6890, 2023-07-25 18:00:54,211 Epoch 49 performance: 53.4496 2023-07-25 18:00:54,556 Best performance achived, saving it! 2023-07-25 18:04:45,547 (1000/1000) | Total: 0:03:50 | ETA: 0:00:01 | loss: 2.77 | 2d: 0.86 | 3d: 0.36 2d_short: 0.62 | 3d_short: 0.55 2d_mae_accel: 0.04 | 3d_mae_accel: 0.03 | 2d_short_accel: 0.02 | 3d_short_accel: 0.01 | loss_kp_2d_mae: 0.731 | loss_kp_3d_mae: 0.333 | loss_kp_2d_short: 0.492 | loss_kp_3d_short: 0.384 | loss_accel_2d_mae: 0.035 | loss_accel_3d_mae: 0.029 | loss_accel_2d_short: 0.015 | loss_accel_3d_short: 0.017 | loss_pose_mae: 0.103 | loss_pose_short: 0.199 | loss_shape_mae: 0.003 | loss_shape_short: 0.004 | data: 0.01 | forward: 0.08 | loss: 0.01 | backward: 0.15 | batch: 0.25 2023-07-25 18:04:55,763 (159/159) | batch: 100.8ms | Total: 0:00:10 | ETA: 0:00:01 2023-07-25 18:05:04,596 Epoch 49, MPJPE: 78.3732, PA-MPJPE: 53.4657, ACCEL: 4.0833, PVE: 95.5035, ACCEL_ERR: 8.7071, 2023-07-25 18:05:04,597 Epoch 50 performance: 53.4657

OK, the environment is the same as ours? I mean that you follow our installation instructions. Besides, I also think the training process depends on your hardware, leading to some differences. From your provided PA-MPJPE results on testing data, I think the distribution between testing and validation sets may be different. So you can try to replace the validation set with the testing set.

1324833746 commented 1 year ago

Thanks for your reply. Lastly, I would like to confirm if the datasets you are using are ‘3dpw_train_occ_db.pt’, ‘h36m_train_25fps_occ_db.pt’, ‘mpii3d_train_scale12_occ_db.pt’, and ‘insta_train_db.h5’.

sxl142 commented 1 year ago

InstaVariety number of dataset objects 130431 3DPW Dataset overlap ratio: 0.0 Loaded 3dpw dataset from /home/shenxiaolong.sxl/remote_t1/data/preprocessed_data/3dpw_train_occ_db.pt is_train: True 3dpw - number of dataset objects 1403 MPII3D Dataset overlap ratio: 0.0 Loaded mpii3d dataset from /home/shenxiaolong.sxl/remote_t1/data/preprocessed_data/mpii3d_train_scale12_occ_db.pt is_train: True mpii3d - number of dataset objects 59934 Human36M Dataset overlap ratio: 0.0

Loaded h36m dataset from /home/shenxiaolong.sxl/remote_t1/data/preprocessed_data/h36m_train_25fps_occ_db.pt is_train: True h36m - number of dataset objects 48456 3DPW Dataset overlap ratio: 0.9375 Loaded 3dpw dataset from /home/shenxiaolong.sxl/remote_t1/data/preprocessed_data/3dpw_val_db.pt is_train: False 3dpw - number of dataset objects 10160

1324833746 commented 1 year ago

Thank you very much for providing the code and assistance！

tcece commented 3 weeks ago

Thank you very much for providing the code and assistance！

Hello, may I ask if you have finally got excellent results with this code？