why divide intensity by 500 in data.py?

[jxl0131]

Hi!
I found intensity term is difficult to convergence during trainning, is it a common phenomenon Or my own problem?
What's more, i found you divide intensity by 500 in data.py before trainning, why do this?

EMLight/RegressionNetwork/data.py

Line 71 in 3a52b3a

training_pair['intensity'] = torch.from_numpy(np.array(gt['intensity'])).float() * alpha / 500

Best wishes!