Hi there~
Thank you for sharing such great work to us.
It is really helpful for many people.
When I run $ python videopose.py below
It will show an error message which is (AttributeError: 'list' object has no attribute 'shape')
Could you please help me to find out the error
Thank you very much!
=================================================================================================
the video is 25.051 f/s
Loading YOLO model..
/home/xxx/.conda/envs/3d/lib/python3.6/site-packages/torch/nn/modules/upsampling.py:129: UserWarning: nn.Upsample is deprecated. Use nn.functional.interpolate instead.
warnings.warn("nn.{} is deprecated. Use nn.functional.interpolate instead.".format(self.name))
Loading pose model from joints_detectors/Alphapose/models/sppe/duc_se.pth
Start pose estimation...
100%|█████████████████████████████████████████| 338/338 [00:23<00:00, 14.11it/s]
kpts npz save in outputs/alpha_pose_kunkun_cut/kunkun_cut.npz
-------------- load data spends 27.51 seconds
Loading checkpoint checkpoint/pretrained_h36m_detectron_coco.bin
-------------- load 3D model spends 0.02 seconds
Rendering...
-------------- generate reconstruction 3D data spends 0.15 seconds
===========================> This video get 338 frames in total.
0%| | 0/338 [00:00<?, ?it/s]/home/xxx/video-to-pose3D/common/visualization.py:181: UserWarning: Tight layout not applied. The left and right margins cannot be made large enough to accommodate all axes decorations.
fig.tight_layout()
0%|▏ | 1/338 [00:00<00:43, 7.82it/s]outputs/kunkun_cut.mp4 --- elapsed time: 28.11254884302616 s
Traceback (most recent call last):
File "videopose.py", line 164, in
inference_video('outputs/kunkun_cut.mp4', 'alpha_pose')
File "videopose.py", line 160, in inference_video
main(args)
File "videopose.py", line 133, in main
input_video_skip=args.viz_skip)
File "/home/xxx/video-to-pose3D/common/visualization.py", line 187, in render_animation
anim.save(output, writer=writer)
File "/home/xxx/.conda/envs/3d/lib/python3.6/site-packages/matplotlib/animation.py", line 1133, in save
anim._draw_next_frame(d, blit=False)
File "/home/xxx/.conda/envs/3d/lib/python3.6/site-packages/matplotlib/animation.py", line 1168, in _draw_next_frame
self._draw_frame(framedata)
File "/home/xxx/.conda/envs/3d/lib/python3.6/site-packages/matplotlib/animation.py", line 1718, in _draw_frame
self._drawn_artists = self._func(framedata, *self._args)
File "/home/xxx/video-to-pose3D/common/visualization.py", line 175, in update_video
lines_3d[n][j - 1][0].set_3d_properties([pos[j, 2], pos[j_parent, 2]], zdir='z')
File "/home/xxx/.conda/envs/3d/lib/python3.6/site-packages/mpl_toolkits/mplot3d/art3d.py", line 143, in set_3d_properties
zs = np.broadcast_to(zs, xs.shape)
AttributeError: 'list' object has no attribute 'shape'
0%|▏ | 1/338 [00:00<00:56, 5.99it/s]
Hi there~ Thank you for sharing such great work to us. It is really helpful for many people.
When I run $ python videopose.py below It will show an error message which is (AttributeError: 'list' object has no attribute 'shape') Could you please help me to find out the error Thank you very much!
================================================================================================= the video is 25.051 f/s Loading YOLO model.. /home/xxx/.conda/envs/3d/lib/python3.6/site-packages/torch/nn/modules/upsampling.py:129: UserWarning: nn.Upsample is deprecated. Use nn.functional.interpolate instead. warnings.warn("nn.{} is deprecated. Use nn.functional.interpolate instead.".format(self.name)) Loading pose model from joints_detectors/Alphapose/models/sppe/duc_se.pth Start pose estimation... 100%|█████████████████████████████████████████| 338/338 [00:23<00:00, 14.11it/s] kpts npz save in outputs/alpha_pose_kunkun_cut/kunkun_cut.npz -------------- load data spends 27.51 seconds Loading checkpoint checkpoint/pretrained_h36m_detectron_coco.bin -------------- load 3D model spends 0.02 seconds Rendering... -------------- generate reconstruction 3D data spends 0.15 seconds ===========================> This video get 338 frames in total. 0%| | 0/338 [00:00<?, ?it/s]/home/xxx/video-to-pose3D/common/visualization.py:181: UserWarning: Tight layout not applied. The left and right margins cannot be made large enough to accommodate all axes decorations. fig.tight_layout() 0%|▏ | 1/338 [00:00<00:43, 7.82it/s]outputs/kunkun_cut.mp4 --- elapsed time: 28.11254884302616 s Traceback (most recent call last): File "videopose.py", line 164, in
inference_video('outputs/kunkun_cut.mp4', 'alpha_pose')
File "videopose.py", line 160, in inference_video
main(args)
File "videopose.py", line 133, in main
input_video_skip=args.viz_skip)
File "/home/xxx/video-to-pose3D/common/visualization.py", line 187, in render_animation
anim.save(output, writer=writer)
File "/home/xxx/.conda/envs/3d/lib/python3.6/site-packages/matplotlib/animation.py", line 1133, in save
anim._draw_next_frame(d, blit=False)
File "/home/xxx/.conda/envs/3d/lib/python3.6/site-packages/matplotlib/animation.py", line 1168, in _draw_next_frame
self._draw_frame(framedata)
File "/home/xxx/.conda/envs/3d/lib/python3.6/site-packages/matplotlib/animation.py", line 1718, in _draw_frame
self._drawn_artists = self._func(framedata, *self._args)
File "/home/xxx/video-to-pose3D/common/visualization.py", line 175, in update_video
lines_3d[n][j - 1][0].set_3d_properties([pos[j, 2], pos[j_parent, 2]], zdir='z')
File "/home/xxx/.conda/envs/3d/lib/python3.6/site-packages/mpl_toolkits/mplot3d/art3d.py", line 143, in set_3d_properties
zs = np.broadcast_to(zs, xs.shape)
AttributeError: 'list' object has no attribute 'shape'
0%|▏ | 1/338 [00:00<00:56, 5.99it/s]