in dataset/transform.py [0:0]
    def __call__(self, data):
        """Perform transformation
        Arguments:
            data {dict} -- frame data
        """
        if 'image' not in list(data.keys()):
            return data
        # get image from all data
        img = data['image']
        # channel last to channel first
        img = np.transpose(img, [2, 0, 1])
        # normalization
        img -= self.mean
        img /= self.std
        data.update({'image': img})
        return data