Comments (2)
fnzhan
commented on June 21, 2024
Hi, they are computed on the images rendered with illumination maps.
For angular error, please refer to DeepLight: Learning Illumination for Unconstrained Mobile Mixed Reality
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ad45675
commented on June 21, 2024
hi @fnzhan ,
when i run the training code , i got some error,
Traceback (most recent call last):
File "train.py", line 97, in <module>
dist_emloss = Sam_Loss(dist_pred, dist_gt).sum() * 1000.0
File "/venv/py37_zero-XRWy4lKA/lib/python3.7/site-packages/torch/nn/modules/module.py", line 1051, in _call_impl
return forward_call(*input, **kwargs)
TypeError: forward() missing 1 required positional argument: 'geometry'
so you have use the geometry in the training?
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