def __init__()

in datasets/preprocessing.py [0:0]


    def __init__(self,
                 resize=(256, 256),
                 crop=(224, 224),
                 color=(0.4, 0.4, 0.4, 0.2),
                 num_frames=8,
                 pad_missing=False,
                 augment=True,
                 normalize=True,
                 totensor=True,
                 ):
        self.resize = resize
        self.crop = crop
        self.augment = augment
        self.num_frames = num_frames
        self.pad_missing = pad_missing
        if normalize:
            assert totensor


        if augment:
            transforms = [
                video_transforms.Resize(resize),
                video_transforms.RandomCrop(crop),
                video_transforms.RandomHorizontalFlip(),
                video_transforms.ColorJitter(*color),
            ]
        else:
            transforms = [
                video_transforms.Resize(resize),
                video_transforms.CenterCrop(crop),
            ]
        if totensor:
            transforms += [volume_transforms.ClipToTensor()]
            if normalize:
                transforms += [tensor_transforms.Normalize(
                    mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225])]
        self.transform = video_transforms.Compose(transforms)