Video Super Resolution Framework with Pytorch
Video Super Resolution Framework with Pytorch
CUDA_VISIBLE_DEVICES=6,2,4 python Poker_main.py
if you just want to train the model, edit the code in the main file like
# remove the val and test process
configs.dataset_configs.pop('val')
configs.dataset_configs.pop('test')
or if you just want to use the model to predict, edit the code in the main file like
# set your trained model path
configs.model_configs['pre_model'] = "your trained model path"
# remove the train and val process
configs.dataset_configs.pop('train')
configs.dataset_configs.pop('val')