spatial_dataloader.py 文件源码

def train(self):
        training_set = spatial_dataset(dic=self.dic_training, root_dir=self.data_path, mode='train', transform = transforms.Compose([
                transforms.RandomCrop(224),
                transforms.RandomHorizontalFlip(),
                transforms.ToTensor(),
                transforms.Normalize(mean=[0.485, 0.456, 0.406],std=[0.229, 0.224, 0.225])
                ]))
        print '==> Training data :',len(training_set),'frames'
        print training_set[1][0]['img1'].size()

        train_loader = DataLoader(
            dataset=training_set, 
            batch_size=self.BATCH_SIZE,
            shuffle=True,
            num_workers=self.num_workers)
        return train_loader