Open ArlixLin opened 4 months ago
about code: def get_train_loader(args, dataset, height, width, batch_size, workers, num_instances, iters, trainset=None): if args.self_norm: normalizer = T.Normalize(mean=[0.5, 0.5, 0.5], std=[0.5, 0.5, 0.5]) else: normalizer = T.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]) comparing to std=[0.229, 0.224, 0.225]，is it args.self_norm branch should be std=[0.25, 0.25, 0.25]？
def get_train_loader(args, dataset, height, width, batch_size, workers, num_instances, iters, trainset=None): if args.self_norm: normalizer = T.Normalize(mean=[0.5, 0.5, 0.5], std=[0.5, 0.5, 0.5]) else: normalizer = T.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225])
std=[0.229, 0.224, 0.225]
about code:
def get_train_loader(args, dataset, height, width, batch_size, workers, num_instances, iters, trainset=None): if args.self_norm: normalizer = T.Normalize(mean=[0.5, 0.5, 0.5], std=[0.5, 0.5, 0.5]) else: normalizer = T.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225])comparing tostd=[0.229, 0.224, 0.225]，is it args.self_norm branch should be std=[0.25, 0.25, 0.25]？