DenisTome / Lifting-from-the-Deep-release

Implementation of "Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image"

Home Page:https://denistome.github.io/papers/lifting-from-the-deep

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ValueError: total size of new array must be unchanged

suishii opened this issue · comments

Hello, I try to use the demo.py to get results but for some pictures, it give me the error as show as below.
How can I fix it?
Expect your answer.

Traceback (most recent call last):
File "demo.py", line 89, in
sys.exit(main())
File "demo.py", line 54, in main
pose_2d, visibility, pose_3d = pose_estimator.estimate(image)
File "/home/suiishii/Lifting-from-the-Deep-release/packages/lifting/_pose_estimator.py", line 144, in estimate
pose_3d = self.poseLifting.compute_3d(transformed_pose2d, weights)
File "/home/suiishii/Lifting-from-the-Deep-release/packages/lifting/utils/prob_model.py", line 256, in compute_3d
norm_pose, _ = Prob3dPose.normalise_data(reg_joints, weights)
File "/home/suiishii/Lifting-from-the-Deep-release/packages/lifting/utils/prob_model.py", line 107, in normalise_data
d2 = d2.reshape(d2.shape[0], -1, 2).transpose(0, 2, 1)
ValueError: total size of new array must be unchanged

The reason of that error is that all the people identified in your images have an uncertainty lower than a certain threshold.
In order to solve the problem, you can change such threshold in the file packages/lifting/utils/config.py by setting VISIBLE_PART = 1e-3 to a lower value.

I see!
Thank you very much.