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The performance in Shelf #9

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baojunshan opened this issue Oct 29, 2021 · 2 comments
Open

The performance in Shelf #9

baojunshan opened this issue Oct 29, 2021 · 2 comments

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@baojunshan
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baojunshan commented Oct 29, 2021

visualize

I used Shelf trained model to evaluate the Shelf, and get the pose results in

pred = np.stack([self.coco2shelf3D(p[:, :3]) for p in final_pose3d_pool]) # [Np, Nj, 3]
, and then visualized it showed above.

The result shows a lot of noise, I don't know if this results is the same as paper shows, or I implemented incorrectly.

@jiahaoLjh
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@baojunshan

If a person is not visible in multiple views, the depth cannot be estimated correctly because of wrong multi-view association. In that case, we will observe those noisy poses far from the scene center of the multi-view camera system.

@UsamaShaikh1
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UsamaShaikh1 commented Feb 8, 2023

Hello @baojunshan, do you still have the visualization code for the above 3D film and if so can you please share it with me

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