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fnzhan / EMLight

[AAAI 2021] EMLight: Lighting Estimation via Spherical Distribution Approximation, [TIP] GMLight: Lighting Estimation via Geometric Distribution Approximation
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evaluation metrix #20

Open ad45675 opened 2 years ago

ad45675 commented 2 years ago

HI~I have some question about REMS and si-REMS. I know the matrix, but i don't know which parameter will be calculated. is the illumination map? I also want to ask that how to calculate the Angular Error.

thanks!

fnzhan commented 2 years ago

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

ad45675 commented 2 years ago

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?