def __call__()

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