Comments (5)
The upper-left and bottom-right coordinates of bounding box are (center[0] - scale / 2, center[1] - scale / 2), (center[0] + scale / 2, center[1] + scale / 2).
from pytorch-pose-hg-3d.
Hi EthanGuan,
Thanks for your interest in this project. The 'scale' in the mpii dataset is provided as an annotation, it is the square-shape human bounding size. It is dependent on the human bounding box size, not just the input image size. But it is safe to just set the scale to 640 and center at (320, 240).
from pytorch-pose-hg-3d.
Would you please elaborate on this? How do I get bounding box given center and scale?
from pytorch-pose-hg-3d.
from pytorch-pose-hg-3d.
Yes, it is '200 x scale' based on Newell's hourglass implementation. What's the following question?
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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- 段错误,核心已转储 HOT 1
- how to using the camera of my own pc??
- root joint
- I solved 。。。
- Is it possible to input 2D coordinates obtained by other methods to obtain 3D coordinates in your model?
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