How to split the 50% uncompressed videos and 50% compressed videos in training dataset?

[StevenTony611]

In the paper, we got the training dataset split two parts: 50% uncompressed videos and 50% compressed videos, but we can't find how to split the training dataset. It's so confusing!

[ericzw]

please see the function

def folder_change1(folder): if 'X4' in folder: if np.random.uniform() > 0.5: pass else: crf_folder_choice = random.choice([0,15,25,35]) folder = folder.replace('X4_start1', CRF_FOLDER[crf_folder_choice]) elif 'sequences_BD' in folder: if np.random.uniform() > 0.5: pass else: crf_folder_choice = random.choice([0,15,25,35]) folder = folder.replace('sequences_BD', VIMO[crf_folder_choice]) else: raise ValueError('please check dataset: {}'.format(folder)) return folder

in https://github.com/researchmm/FTVSR/blob/main/mmedit/datasets/base_sr_dataset.py

[ericzw]

line 27-42 in https://github.com/researchmm/FTVSR/blob/main/mmedit/datasets/base_sr_dataset.py

[StevenTony611]

We find this function now and thank you very much！ Good job！