def __call__()

in training/dataset/transforms.py [0:0]


    def __call__(self, datapoint, **kwargs):
        if self.consistent_transform:
            if random.random() < self.p:
                for i in range(len(datapoint.frames)):
                    datapoint = hflip(datapoint, i)
            return datapoint
        for i in range(len(datapoint.frames)):
            if random.random() < self.p:
                datapoint = hflip(datapoint, i)
        return datapoint