eft/apps/evalfrompkl.py [39:262]: - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - parser = argparse.ArgumentParser() parser.add_argument('--checkpoint', default=None, help='Path to network checkpoint') parser.add_argument('--dataset', default='h36m-p1', choices=['h36m-p1', 'h36m-p2', 'lsp', '3dpw', '3dpw-vibe', 'mpi-inf-3dhp'], help='Choose evaluation dataset') parser.add_argument('--log_freq', default=50, type=int, help='Frequency of printing intermediate results') parser.add_argument('--batch_size', default=1, help='Batch size for testing') parser.add_argument('--shuffle', default=False, action='store_true', help='Shuffle data') parser.add_argument('--num_workers', default=4, type=int, help='Number of processes for data loading') parser.add_argument('--result_file', default=None, help='If set, save detections to a .npz file') g_smpl_neutral = None g_smpl_male = None g_smpl_female = None def run_evaluation(model, dataset_name, dataset, result_file, batch_size=1, img_res=224, num_workers=32, shuffle=False, log_freq=50, bVerbose= True): """Run evaluation on the datasets and metrics we report in the paper. """ device = torch.device('cuda') if torch.cuda.is_available() else torch.device('cpu') # # Transfer model to the GPU # model.to(device) # Load SMPL model global g_smpl_neutral, g_smpl_male, g_smpl_female if g_smpl_neutral is None: g_smpl_neutral = SMPL(config.SMPL_MODEL_DIR, create_transl=False).to(device) g_smpl_male = SMPL(config.SMPL_MODEL_DIR, gender='male', create_transl=False).to(device) g_smpl_female = SMPL(config.SMPL_MODEL_DIR, gender='female', create_transl=False).to(device) smpl_neutral = g_smpl_neutral smpl_male = g_smpl_male smpl_female = g_smpl_female else: smpl_neutral = g_smpl_neutral smpl_male = g_smpl_male smpl_female = g_smpl_female # renderer = PartRenderer() # Regressor for H36m joints J_regressor = torch.from_numpy(np.load(config.JOINT_REGRESSOR_H36M)).float() save_results = result_file is not None # Disable shuffling if you want to save the results if save_results: shuffle=False # Create dataloader for the dataset data_loader = DataLoader(dataset, batch_size=batch_size, shuffle=shuffle, num_workers=num_workers) # Pose metrics # MPJPE and Reconstruction error for the non-parametric and parametric shapes # mpjpe = np.zeros(len(dataset)) # recon_err = np.zeros(len(dataset)) quant_mpjpe = {}#np.zeros(len(dataset)) quant_recon_err = {}#np.zeros(len(dataset)) mpjpe = np.zeros(len(dataset)) recon_err = np.zeros(len(dataset)) mpjpe_smpl = np.zeros(len(dataset)) recon_err_smpl = np.zeros(len(dataset)) # Shape metrics # Mean per-vertex error shape_err = np.zeros(len(dataset)) shape_err_smpl = np.zeros(len(dataset)) # Mask and part metrics # Accuracy accuracy = 0. parts_accuracy = 0. # True positive, false positive and false negative tp = np.zeros((2,1)) fp = np.zeros((2,1)) fn = np.zeros((2,1)) parts_tp = np.zeros((7,1)) parts_fp = np.zeros((7,1)) parts_fn = np.zeros((7,1)) # Pixel count accumulators pixel_count = 0 parts_pixel_count = 0 # Store SMPL parameters smpl_pose = np.zeros((len(dataset), 72)) smpl_betas = np.zeros((len(dataset), 10)) smpl_camera = np.zeros((len(dataset), 3)) pred_joints = np.zeros((len(dataset), 17, 3)) eval_pose = False eval_masks = False eval_parts = False # Choose appropriate evaluation for each dataset if dataset_name == 'h36m-p1' or dataset_name == 'h36m-p2' or dataset_name == '3dpw' or dataset_name == '3dpw-vibe' or dataset_name == 'mpi-inf-3dhp': eval_pose = True elif dataset_name == 'lsp': eval_masks = True eval_parts = True annot_path = config.DATASET_FOLDERS['upi-s1h'] joint_mapper_h36m = constants.H36M_TO_J17 if dataset_name == 'mpi-inf-3dhp' else constants.H36M_TO_J14 joint_mapper_gt = constants.J24_TO_J17 if dataset_name == 'mpi-inf-3dhp' else constants.J24_TO_J14 # Iterate over the entire dataset # cnt =0 for step, batch in enumerate(tqdm(data_loader, desc='Eval', total=len(data_loader))): # Get ground truth annotations from the batch # imgName = batch['imgname'][0] # seqName = os.path.basename ( os.path.dirname(imgName) ) gt_pose = batch['pose'].to(device) gt_betas = batch['betas'].to(device) gt_vertices = smpl_neutral(betas=gt_betas, body_pose=gt_pose[:, 3:], global_orient=gt_pose[:, :3]).vertices images = batch['img'].to(device) gender = batch['gender'].to(device) curr_batch_size = images.shape[0] bLoadFromFile = True missingPkl = False if bLoadFromFile: # pklDir= '/run/media/hjoo/disk/data/cvpr2020_eft_researchoutput/0_SPIN/0_exemplarOutput/04-22_3dpw_test_with8143_iter10' pklDir= '/private/home/hjoo/spinOut/05-11_3dpw_test_with1336_iter5' pklDir= '/private/home/hjoo/spinOut/05-11_3dpw_test_with1039_iter5' pklDir= '/private/home/hjoo/spinOut/05-11_3dpw_test_with1336_iter10' pklDir= '/private/home/hjoo/spinOut/05-11_3dpw_test_with1336_iter3' pklDir= '/run/media/hjoo/disk/data/cvpr2020_eft_researchoutput/0_SPIN/0_exemplarOutput/05-24_3dpw_test_with1336_iterUpto20' pklDir= '/private/home/hjoo/spinOut/05-25_3dpw_test_with1336_iterUpto50_thr2e4' pklDir= '/private/home/hjoo/spinOut/05-25_3dpw_test_smplify_3dpwtest_from1336' pklDir= '/private/home/hjoo/spinOut/05-25_3dpw_test_smplify_3dpwtest_from7640' pklDir= '/private/home/hjoo/spinOut/05-25_3dpw_test_smplify_3dpwtest_from5992' pklDir= '/private/home/hjoo/spinOut/05-25_3dpw_test_with1644_h36m_thr2e4' #New test with LSP Init pklDir= '/private/home/hjoo/spinOut/05-27_3dpw_test_smplify_3dpwtest_from732_lsp' pklDir= '/private/home/hjoo/spinOut/05-27_3dpw_test_with732_lsp_withHips' pklDir= '/private/home/hjoo/spinOut/05-27_3dpw_test_with732_lsp_noHips' #New test with MPII start #SMPLify pklDir= '/private/home/hjoo/spinOut/05-28_3dpw_test_smplify_3dpwtest_from3097_best' pklDir= '/private/home/hjoo/spinOut/05-31_3dpw_test_smplify_3dpwTest_bestW3DPW_from8653' pklDir= '/private/home/hjoo/spinOut/05-27_3dpw_test_smplify_3dpwtest_from35_mpii' #EFT pklDir= '/private/home/hjoo/spinOut/05-28_3dpw_test_with35_mpii_noHips' pklDir= '/private/home/hjoo/spinOut/05-31_3dpw_test_3dpwTest_bestW3DPW_from8653' pklDir= '/private/home/hjoo/spinOut/05-27_3dpw_test_with35_mpii_withHips' pklDir= '/private/home/hjoo/spinOut/05-27_3dpw_test_with35_mpii_noHips' pklDir= '/private/home/hjoo/spinOut/05-25_3dpw_test_with7640_iterUpto50_thr2e4' pklDir= '/private/home/hjoo/spinOut/05-25_3dpw_test_with5992_iterUpto50_thr2e4' pklDir= '/private/home/hjoo/spinOut/05-28_3dpw_test_byeft_with3097_best_noHips' #Rebuttal Additional Ablation pklDir= '/private/home/hjoo/spinOut/08-08_3dpw_test_abl_3dpwTest_from8653_layer4only' #Layer 4 only pklDir= '/private/home/hjoo/spinOut/08-08_3dpw_test_abl_3dpwTest_from8653_afterResOnly' #HMR FC part only pklDir= '/private/home/hjoo/spinOut/08-08_3dpw_test_abl_3dpwTest_from8653_allResLayers' #Res Layers pklDir= '/private/home/hjoo/spinOut/08-08_3dpw_test_abl_3dpwTest_from8653_layer4andLayer' #layer4 + HMR FC part #Rebuttal Additional Ablation (more) pklDir= '/private/home/hjoo/spinOut/08-08_3dpw_test_abl_3dpwTest_from8653_ablation_layerteset_onlyRes_withconv1' #All resnet pklDir= '/private/home/hjoo/spinOut/08-08_3dpw_test_abl_3dpwTest_from8653_ablation_layerteset_all' #no freezing pklDir= '/private/home/hjoo/spinOut/08-08_3dpw_test_abl_3dpwTest_from8653_ablation_layerteset_decOnly' #The last regression layer pklDir= '/private/home/hjoo/spinOut/08-08_3dpw_test_abl_3dpwTest_from8653_ablation_layerteset_fc2Later' #The last regression layer #Restart Some verification pklDir= '/private/home/hjoo/spinOut/08-08_3dpw_test_abl_3dpwTest_from8653_ablation_ablation_noFreez' #The last regression layer pklDir= '/private/home/hjoo/spinOut/08-08_3dpw_test_abl_3dpwTest_from8653_again_noFreez' #Original. No freeze. For debug pklDir= '/private/home/hjoo/spinOut/08-08_3dpw_test_abl_from8653_ablation_layerteset_all' #Original. No freeze. For debug #Rebuttal: Real Ablation pklDir= '/private/home/hjoo/spinOut/08-08_3dpw_test_abl_from8653_ablation_layerteset_onlyRes_withconv1' #Optimizing Res50. Freeze HMR FC pklDir= '/private/home/hjoo/spinOut/08-08_3dpw_test_abl_from8653_ablation_layerteset_onlyAfterRes' #Optimizing HMR FC part. Freeze Res50 pklDir= '/private/home/hjoo/spinOut/08-08_3dpw_test_abl_from8653_ablation_layerteset_decOnly' #Free all except the last layer of HMR pklDir= '/private/home/hjoo/spinOut/08-08_3dpw_test_abl_from8653_ablation_layerteset_onlyLayer4' #Optimzing only Layer4 of ResNet pklDir= '/private/home/hjoo/spinOut/08-08_3dpw_test_abl_from8653_ablation_layerteset_fc2Later' #HMR FC2 and layer pklDir= '/private/home/hjoo/spinOut/08-08_3dpw_test_abl_from8653_ablation_layerteset_onlyRes50LastConv' #Last Conv of Res50 #Ablation: SMPLify pklDir= '/private/home/hjoo/spinOut/08-10_3dpw_test_smplify_abl_3dpwTest_from8653_noPrior' pklDir= '/private/home/hjoo/spinOut/08-10_3dpw_test_smplify_abl_3dpwTest_from8653_noCamFirst' pklDir= '/private/home/hjoo/spinOut/08-10_3dpw_test_smplify_abl_3dpwTest_from8653_noCamFirst_noPrior' pklDir= '/private/home/hjoo/spinOut/08-10_3dpw_test_smplify_abl_3dpwTest_from8653_noAnglePrior' pklDir= '/private/home/hjoo/spinOut/08-10_3dpw_test_smplify_abl_3dpwTest_from8653_noPosePrior' #CVPR 2021. New Start (old 3DPW) pklDir= '/private/home/hjoo/spinOut/10-31_3dpw_test_with7640_coco3d' pklDir= '/private/home/hjoo/spinOut/10-31_3dpw_test_with8377_cocoAl_h36_inf_3dpw' pklDir= '/private/home/hjoo/spinOut/10-31_3dpw_test_with6814_cocoAl_h36_inf' pklDir= '/private/home/hjoo/spinOut/10-31_3dpw_test_with5992_cocoAl' pklDir= '/private/home/hjoo/spinOut/10-31_3dpw_test_35_mpii' pklDir= '/private/home/hjoo/spinOut/10-31_3dpw_test_1644_h36m' #CVPR 2021. New Start (old 3DPW) pklDir= '/private/home/hjoo/spinOut/11-01_3dpw_test__vibe_with8377_cocoAl_h36_inf_3dpw' pklDir= '/private/home/hjoo/spinOut/11-01_3dpw_test__vibe_with6814_cocoAl_h36_inf' pklDir= '/private/home/hjoo/spinOut/11-01_3dpw_test__vibe_with7640_coco3d' pklDir= '/private/home/hjoo/spinOut/11-01_3dpw_test__vibe_732_lsp' pklDir= '/private/home/hjoo/spinOut/11-01_3dpw_test__vibe_35_mpii' pklDir= '/private/home/hjoo/spinOut/11-01_3dpw_test__vibe_with5992_cocoAl' pklDir= '/private/home/hjoo/spinOut/11-01_3dpw_test__vibe_1644_h36m' - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - eft/apps/evalfrompkl_hmr.py [40:262]: - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - parser = argparse.ArgumentParser() parser.add_argument('--checkpoint', default=None, help='Path to network checkpoint') parser.add_argument('--dataset', default='h36m-p1', choices=['h36m-p1', 'h36m-p2', 'lsp', '3dpw', '3dpw-vibe', 'mpi-inf-3dhp'], help='Choose evaluation dataset') parser.add_argument('--log_freq', default=50, type=int, help='Frequency of printing intermediate results') parser.add_argument('--batch_size', default=1, help='Batch size for testing') parser.add_argument('--shuffle', default=False, action='store_true', help='Shuffle data') parser.add_argument('--num_workers', default=4, type=int, help='Number of processes for data loading') parser.add_argument('--result_file', default=None, help='If set, save detections to a .npz file') g_smpl_neutral = None g_smpl_male = None g_smpl_female = None def run_evaluation(model, dataset_name, dataset, result_file, batch_size=1, img_res=224, num_workers=32, shuffle=False, log_freq=50, bVerbose= True): """Run evaluation on the datasets and metrics we report in the paper. """ device = torch.device('cuda') if torch.cuda.is_available() else torch.device('cpu') # # Transfer model to the GPU # model.to(device) # Load SMPL model global g_smpl_neutral, g_smpl_male, g_smpl_female if g_smpl_neutral is None: g_smpl_neutral = SMPL(config.SMPL_MODEL_DIR, create_transl=False).to(device) g_smpl_male = SMPL(config.SMPL_MODEL_DIR, gender='male', create_transl=False).to(device) g_smpl_female = SMPL(config.SMPL_MODEL_DIR, gender='female', create_transl=False).to(device) smpl_neutral = g_smpl_neutral smpl_male = g_smpl_male smpl_female = g_smpl_female else: smpl_neutral = g_smpl_neutral smpl_male = g_smpl_male smpl_female = g_smpl_female # renderer = PartRenderer() # Regressor for H36m joints J_regressor = torch.from_numpy(np.load(config.JOINT_REGRESSOR_H36M)).float() save_results = result_file is not None # Disable shuffling if you want to save the results if save_results: shuffle=False # Create dataloader for the dataset data_loader = DataLoader(dataset, batch_size=batch_size, shuffle=shuffle, num_workers=num_workers) # Pose metrics # MPJPE and Reconstruction error for the non-parametric and parametric shapes # mpjpe = np.zeros(len(dataset)) # recon_err = np.zeros(len(dataset)) quant_mpjpe = {}#np.zeros(len(dataset)) quant_recon_err = {}#np.zeros(len(dataset)) mpjpe = np.zeros(len(dataset)) recon_err = np.zeros(len(dataset)) mpjpe_smpl = np.zeros(len(dataset)) recon_err_smpl = np.zeros(len(dataset)) # Shape metrics # Mean per-vertex error shape_err = np.zeros(len(dataset)) shape_err_smpl = np.zeros(len(dataset)) # Mask and part metrics # Accuracy accuracy = 0. parts_accuracy = 0. # True positive, false positive and false negative tp = np.zeros((2,1)) fp = np.zeros((2,1)) fn = np.zeros((2,1)) parts_tp = np.zeros((7,1)) parts_fp = np.zeros((7,1)) parts_fn = np.zeros((7,1)) # Pixel count accumulators pixel_count = 0 parts_pixel_count = 0 # Store SMPL parameters smpl_pose = np.zeros((len(dataset), 72)) smpl_betas = np.zeros((len(dataset), 10)) smpl_camera = np.zeros((len(dataset), 3)) pred_joints = np.zeros((len(dataset), 17, 3)) eval_pose = False eval_masks = False eval_parts = False # Choose appropriate evaluation for each dataset if dataset_name == 'h36m-p1' or dataset_name == 'h36m-p2' or dataset_name == '3dpw' or dataset_name == '3dpw-vibe' or dataset_name == 'mpi-inf-3dhp': eval_pose = True elif dataset_name == 'lsp': eval_masks = True eval_parts = True annot_path = config.DATASET_FOLDERS['upi-s1h'] joint_mapper_h36m = constants.H36M_TO_J17 if dataset_name == 'mpi-inf-3dhp' else constants.H36M_TO_J14 joint_mapper_gt = constants.J24_TO_J17 if dataset_name == 'mpi-inf-3dhp' else constants.J24_TO_J14 # Iterate over the entire dataset # cnt =0 for step, batch in enumerate(tqdm(data_loader, desc='Eval', total=len(data_loader))): # Get ground truth annotations from the batch # imgName = batch['imgname'][0] # seqName = os.path.basename ( os.path.dirname(imgName) ) gt_pose = batch['pose'].to(device) gt_betas = batch['betas'].to(device) gt_vertices = smpl_neutral(betas=gt_betas, body_pose=gt_pose[:, 3:], global_orient=gt_pose[:, :3]).vertices images = batch['img'].to(device) gender = batch['gender'].to(device) curr_batch_size = images.shape[0] bLoadFromFile = True missingPkl = False if bLoadFromFile: # pklDir= '/run/media/hjoo/disk/data/cvpr2020_eft_researchoutput/0_SPIN/0_exemplarOutput/04-22_3dpw_test_with8143_iter10' pklDir= '/private/home/hjoo/spinOut/05-11_3dpw_test_with1336_iter5' pklDir= '/private/home/hjoo/spinOut/05-11_3dpw_test_with1039_iter5' pklDir= '/private/home/hjoo/spinOut/05-11_3dpw_test_with1336_iter10' pklDir= '/private/home/hjoo/spinOut/05-11_3dpw_test_with1336_iter3' pklDir= '/run/media/hjoo/disk/data/cvpr2020_eft_researchoutput/0_SPIN/0_exemplarOutput/05-24_3dpw_test_with1336_iterUpto20' pklDir= '/private/home/hjoo/spinOut/05-25_3dpw_test_with1336_iterUpto50_thr2e4' pklDir= '/private/home/hjoo/spinOut/05-25_3dpw_test_smplify_3dpwtest_from1336' pklDir= '/private/home/hjoo/spinOut/05-25_3dpw_test_smplify_3dpwtest_from7640' pklDir= '/private/home/hjoo/spinOut/05-25_3dpw_test_smplify_3dpwtest_from5992' pklDir= '/private/home/hjoo/spinOut/05-25_3dpw_test_with1644_h36m_thr2e4' #New test with LSP Init pklDir= '/private/home/hjoo/spinOut/05-27_3dpw_test_smplify_3dpwtest_from732_lsp' pklDir= '/private/home/hjoo/spinOut/05-27_3dpw_test_with732_lsp_withHips' pklDir= '/private/home/hjoo/spinOut/05-27_3dpw_test_with732_lsp_noHips' #New test with MPII start #SMPLify pklDir= '/private/home/hjoo/spinOut/05-28_3dpw_test_smplify_3dpwtest_from3097_best' pklDir= '/private/home/hjoo/spinOut/05-31_3dpw_test_smplify_3dpwTest_bestW3DPW_from8653' pklDir= '/private/home/hjoo/spinOut/05-27_3dpw_test_smplify_3dpwtest_from35_mpii' #EFT pklDir= '/private/home/hjoo/spinOut/05-28_3dpw_test_with35_mpii_noHips' pklDir= '/private/home/hjoo/spinOut/05-31_3dpw_test_3dpwTest_bestW3DPW_from8653' pklDir= '/private/home/hjoo/spinOut/05-27_3dpw_test_with35_mpii_withHips' pklDir= '/private/home/hjoo/spinOut/05-27_3dpw_test_with35_mpii_noHips' pklDir= '/private/home/hjoo/spinOut/05-25_3dpw_test_with7640_iterUpto50_thr2e4' pklDir= '/private/home/hjoo/spinOut/05-25_3dpw_test_with5992_iterUpto50_thr2e4' pklDir= '/private/home/hjoo/spinOut/05-28_3dpw_test_byeft_with3097_best_noHips' #Rebuttal Additional Ablation pklDir= '/private/home/hjoo/spinOut/08-08_3dpw_test_abl_3dpwTest_from8653_layer4only' #Layer 4 only pklDir= '/private/home/hjoo/spinOut/08-08_3dpw_test_abl_3dpwTest_from8653_afterResOnly' #HMR FC part only pklDir= '/private/home/hjoo/spinOut/08-08_3dpw_test_abl_3dpwTest_from8653_allResLayers' #Res Layers pklDir= '/private/home/hjoo/spinOut/08-08_3dpw_test_abl_3dpwTest_from8653_layer4andLayer' #layer4 + HMR FC part #Rebuttal Additional Ablation (more) pklDir= '/private/home/hjoo/spinOut/08-08_3dpw_test_abl_3dpwTest_from8653_ablation_layerteset_onlyRes_withconv1' #All resnet pklDir= '/private/home/hjoo/spinOut/08-08_3dpw_test_abl_3dpwTest_from8653_ablation_layerteset_all' #no freezing pklDir= '/private/home/hjoo/spinOut/08-08_3dpw_test_abl_3dpwTest_from8653_ablation_layerteset_decOnly' #The last regression layer pklDir= '/private/home/hjoo/spinOut/08-08_3dpw_test_abl_3dpwTest_from8653_ablation_layerteset_fc2Later' #The last regression layer #Restart Some verification pklDir= '/private/home/hjoo/spinOut/08-08_3dpw_test_abl_3dpwTest_from8653_ablation_ablation_noFreez' #The last regression layer pklDir= '/private/home/hjoo/spinOut/08-08_3dpw_test_abl_3dpwTest_from8653_again_noFreez' #Original. No freeze. For debug pklDir= '/private/home/hjoo/spinOut/08-08_3dpw_test_abl_from8653_ablation_layerteset_all' #Original. No freeze. For debug #Rebuttal: Real Ablation pklDir= '/private/home/hjoo/spinOut/08-08_3dpw_test_abl_from8653_ablation_layerteset_onlyRes_withconv1' #Optimizing Res50. Freeze HMR FC pklDir= '/private/home/hjoo/spinOut/08-08_3dpw_test_abl_from8653_ablation_layerteset_onlyAfterRes' #Optimizing HMR FC part. Freeze Res50 pklDir= '/private/home/hjoo/spinOut/08-08_3dpw_test_abl_from8653_ablation_layerteset_decOnly' #Free all except the last layer of HMR pklDir= '/private/home/hjoo/spinOut/08-08_3dpw_test_abl_from8653_ablation_layerteset_onlyLayer4' #Optimzing only Layer4 of ResNet pklDir= '/private/home/hjoo/spinOut/08-08_3dpw_test_abl_from8653_ablation_layerteset_fc2Later' #HMR FC2 and layer pklDir= '/private/home/hjoo/spinOut/08-08_3dpw_test_abl_from8653_ablation_layerteset_onlyRes50LastConv' #Last Conv of Res50 #Ablation: SMPLify pklDir= '/private/home/hjoo/spinOut/08-10_3dpw_test_smplify_abl_3dpwTest_from8653_noPrior' pklDir= '/private/home/hjoo/spinOut/08-10_3dpw_test_smplify_abl_3dpwTest_from8653_noCamFirst' pklDir= '/private/home/hjoo/spinOut/08-10_3dpw_test_smplify_abl_3dpwTest_from8653_noCamFirst_noPrior' pklDir= '/private/home/hjoo/spinOut/08-10_3dpw_test_smplify_abl_3dpwTest_from8653_noAnglePrior' pklDir= '/private/home/hjoo/spinOut/08-10_3dpw_test_smplify_abl_3dpwTest_from8653_noPosePrior' #CVPR 2021. New Start (old 3DPW) pklDir= '/private/home/hjoo/spinOut/10-31_3dpw_test_with7640_coco3d' pklDir= '/private/home/hjoo/spinOut/10-31_3dpw_test_with8377_cocoAl_h36_inf_3dpw' pklDir= '/private/home/hjoo/spinOut/10-31_3dpw_test_with6814_cocoAl_h36_inf' pklDir= '/private/home/hjoo/spinOut/10-31_3dpw_test_with5992_cocoAl' pklDir= '/private/home/hjoo/spinOut/10-31_3dpw_test_35_mpii' pklDir= '/private/home/hjoo/spinOut/10-31_3dpw_test_1644_h36m' #CVPR 2021. New Start (old 3DPW) pklDir= '/private/home/hjoo/spinOut/11-01_3dpw_test__vibe_with8377_cocoAl_h36_inf_3dpw' pklDir= '/private/home/hjoo/spinOut/11-01_3dpw_test__vibe_with6814_cocoAl_h36_inf' pklDir= '/private/home/hjoo/spinOut/11-01_3dpw_test__vibe_with7640_coco3d' pklDir= '/private/home/hjoo/spinOut/11-01_3dpw_test__vibe_732_lsp' pklDir= '/private/home/hjoo/spinOut/11-01_3dpw_test__vibe_35_mpii' pklDir= '/private/home/hjoo/spinOut/11-01_3dpw_test__vibe_with5992_cocoAl' pklDir= '/private/home/hjoo/spinOut/11-01_3dpw_test__vibe_1644_h36m' - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -