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ihmr's Issues

about the training strategy

  1. In the training, I found the camera params (s, tx, ty) seems not converge, but the mano params could converge normaly. I checked the dataset (freihand and interhand), the camera's focal length differs with each image, and it range from 400mm to 800mm. I wonder if the diversity of focal length in the dataset makes it converge worse?

  2. Also, the solution may be adjusting the loss weight in the training process? just as u do /src/strategies/opt_default.py. I wonder how the converge order, what i mean is which parmas should converge first or last?

  3. The camera params GT and camera loss isnot found in your project, should I remove the camera loss too?

about the 3d rotate with 2d rotate

in the data_processor.random_rotate(), the returned joint2d is right:
image

however the returned joint3d is weird:
image
and the returned mano output is :
image

ModuleNotFoundError: No module named 'ry_utils'

I'm trying to test the dataset but I can't find 'ry_utils.py' in any folder, and I got an error that 'ModuleNotFoundError: No module named 'ry_utils'', could you please offer some advice to help me solving this problem? Thank you.

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