raise Exception("No GPU found")
else:
print("===> GPU on")
# Normalization method
mean = get_mean(args.norm_value)
std = get_std(args.norm_value)
norm_method = Normalize(mean, std)
# path setting
train_path = args.train_data
pretrain_path = join(args.root_path, args.pretrain_path)
log_path = join(args.root_path, args.log_path)
print("===> Loading datasets")
train_data = DatasetFromFolderTrain(
train_path, args.resize_w, args.resize_h, args.crop_size, args.fps,
args.train_frames, args.horizontal_flip, args.norm_value, norm_method,
args.num_of_vid, args.train_frames, args.label_condition)
train_data_loader = DataLoader(dataset=train_data,
num_workers=4,
batch_size=args.batch_size,
shuffle=True)
print("===> Setting Trainer")
trainer = TrainModule(args)
print("===> Training")
trainer.train()
std = get_std(args.norm_value)
norm_method = Normalize(mean, std)
# path setting
train_path = args.train_data
pretrain_path = join(args.root_path, args.pretrain_path)
log_path = join(args.root_path, args.log_path)
print("===> Loading datasets")
train_data = DatasetFromFolderTrain(train_path,
args.resize_w,
args.resize_h,
args.crop_size,
args.fps,
args.train_frames,
args.horizontal_flip,
norm_method,
args.num_of_vid,
args.train_frames,
args.with_label,
args.with_condition,
args.prev_frame)
train_data_loader = DataLoader(dataset=train_data,
num_workers=4,
batch_size=args.batch_size,
shuffle=True)
print("===> Setting Trainer")
trainer = TrainModule(args)