Comments (2)
Hi Jincan,
Thanks for your interests. Using average is the best way we can do when the testing scale is totally unknown. Luckily it works for Human 3.6M, as is also don in the Sparseness meets deepness paper. This average is intended only for Human 3.6M evaluation. For more general in-the-wild pose estimation, you will need a post-processing of the scale.
from pytorch-pose-hg-3d.
Thanks for your answer very much.
from pytorch-pose-hg-3d.
Related Issues (20)
- s = min(s, max(img.shape[0], img.shape[1])) * 1.0 AttributeError: 'NoneType' object has no attribute 'shape' HOT 4
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- RUN ERROR
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- The preprocess of mpii is incorrect when input_h!=input_w
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- 段错误,核心已转储 HOT 1
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- I solved 。。。
- Is it possible to input 2D coordinates obtained by other methods to obtain 3D coordinates in your model?
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from pytorch-pose-hg-3d.