How to create & learning color hints to model...

[dev6969]

would like to keep learning the code while continuing to use another network model. But I do not understand how to learn color information in this project ....

1. I think one of the four input channels is a line channel and the remaining three channels are color information. However, I can not understand how to create color hints from the original image.
   What I understood = 4ch -> 1ch (line) + 3ch (color hint)[how create color hint!?]

2. Why does "img2imgDataset.get_example ()" randomly add noise to the image?

[taizan]

1.randomly leak original color information
2.data augmentation for stable training

[dev6969]

thank you for your reply. !!!!(comments did not come up.)
I understood the way. and

    image1 = np.insert(image1, 1, -512, axis=2)  # -512?!
    image1 = np.insert(image1, 2, 128, axis=2)
    image1 = np.insert(image1, 3, 128, axis=2)

Adjusting the color range in this way
for recognize a range does not have color information?

not adjusting the range -1 ~ 1