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[xiao19971225]

我试videopose3d的时候用human3.6m出现下面情况 python run.py -k cpn_ft_h36m_dbb -arc 3,3,3,3,3 -c checkpoint --evaluate pretrained_h36m_cpn.bin Namespace(actions='*', architecture='3,3,3,3,3', batch_size=1024, bone_length_term=True, by_subject=False, causal=False, channels=1024, checkpoint='checkpoint', checkpoint_frequency=10, data_augmentation=True, dataset='h36m', dense=False, disable_optimizations=False, downsample=1, dropout=0.25, epochs=60, evaluate='pretrained_h36m_cpn.bin', export_training_curves=False, keypoints='cpn_ft_h36m_dbb', learning_rate=0.001, linear_projection=False, lr_decay=0.95, no_eval=False, no_proj=False, render=False, resume='', stride=1, subjects_test='S9,S11', subjects_train='S1,S5,S6,S7,S8', subjects_unlabeled='', subset=1, test_time_augmentation=True, viz_action=None, viz_bitrate=3000, viz_camera=0, viz_downsample=1, viz_export=None, viz_limit=-1, viz_no_ground_truth=False, viz_output=None, viz_size=5, viz_skip=0, viz_subject=None, viz_video=None, warmup=1) Loading dataset... Preparing data... Loading 2D detections... INFO: Receptive field: 243 frames INFO: Trainable parameter count: 16952371 Loading checkpoint checkpoint\pretrained_h36m_cpn.bin This model was trained for 80 epochs INFO: Testing on 543344 frames Evaluating... ----Directions---- Test time augmentation: True Protocol #1 Error (MPJPE): 45.156179363731496 mm Protocol #2 Error (P-MPJPE): 34.119459297758915 mm Protocol #3 Error (N-MPJPE): 42.62937948308446 mm Velocity Error (MPJVE): 2.9753524038954198 mm 系统window10

[zh-plus]

我没有试过用videopose3跑evaluate，无法提供帮助

[xiao19971225]

好吧 谢谢