Thank you so much for your impressive work, I tried many tools but their performance were not like yours. But I spent a lot of time to figure out how I can use test_split() but I did not figure out where I should use it, could you please tell me in which line I should use it in main_test_fbcnn_color_real.py what should be the input parameters.

          Hello, thanks for your interest in our work! 

1. The function you mentioned is mainly used for generating small patches for fast training. For testing large images, please try to utilize the function test_split from utils_model.py: https://github.com/jiaxi-jiang/FBCNN/blob/main/utils/utils_model.py#L214

2. For fair comparisons, we follow the convention of prior work to use 8 bit depth image for training and testing. Intuitively training with 16 bit depth images should be better for testing 16 bit depth images, but I think not necessary for testing 8 bit depth images. We can discuss more if you are interested in this part.

Feel free to ask me if you still have questions.

Originally posted by @jiaxi-jiang in #12 (comment)