Identical Transformation on Input and Label?

[Nikronic (Nikan Doosti)]

Hi

I had similar problem and I solved it. Here is the link to the post. Although, I have used a subset of original transformation pipeline, still I wanted to have identical for that subset.

Use a subset of Composed Transforms with same random seed

The problem solved using feeding same seed value before applying each Compose of transforms. def __getitem__(self,index): img = Image.open(self.data[index]).convert('RGB') target = Image.open(self.data_labels[index]) seed = np.random.randint(2147483647) # make a seed with numpy generator random.seed(seed) # apply this seed to img tranfsorms if self.transform is not None: img = self.transform(img) random.s…

bests,
Nik