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