A simplified version of pix2pix for deep learning beginners

[microic]

Using a very simple model, we can do almost all the tasks of pix2pix

Following is the result using only 179 train samples, no transfer learning, no data augmentation

input	output

To get a better result, simply increase the number and size of train samples, but which will take much more time to train Following is the result using 645 train samples:

input	output

https://github.com/microic/niy/blob/master/examples/colorizing_photos/README.md

[me2beats]

Hi, could you update it pls