Winning Solution in NTIRE19 Challenges on Video Restoration and Enhancement (CVPR19 Workshops) - Video Restoration with Enhanced Deformable Convolutional Networks. EDVR has been merged into BasicSR and this repo is a mirror of BasicSR.
In data preparation, original REDS validation set's clips were renamed starting from 240, but in codes/data/REDS_dataset.py lin58self.paths_GT = [ v for v in self.paths_GT if v.split('_')[0] not in ['000', '011', '015', '020'] ]
['000', '011', '015', '020'] were filtered out for testing, but i think the real ones to filter out should be ['240', '251', '255', '260']. Am I understanding it wrong?@xinntao
In data preparation, original REDS validation set's clips were renamed starting from 240, but in codes/data/REDS_dataset.py lin58
self.paths_GT = [ v for v in self.paths_GT if v.split('_')[0] not in ['000', '011', '015', '020'] ]
['000', '011', '015', '020'] were filtered out for testing, but i think the real ones to filter out should be ['240', '251', '255', '260']. Am I understanding it wrong?@xinntao