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- import unittest
- import numpy as np
- from super_gradients.training.datasets import Cifar10, Cifar100, ImageNetDataset
- from albumentations import Compose, HorizontalFlip, InvertImg
- class AlbumentationsIntegrationTest(unittest.TestCase):
- def _apply_aug(self, img_no_aug):
- pipe = Compose(transforms=[HorizontalFlip(p=1.0), InvertImg(p=1.0)])
- img_no_aug_transformed = pipe(image=np.array(img_no_aug))["image"]
- return img_no_aug_transformed
- def test_cifar10_albumentations_integration(self):
- ds_no_aug = Cifar10(root="./data/cifar10", train=True, download=True)
- img_no_aug, _ = ds_no_aug.__getitem__(0)
- ds = Cifar10(
- root="./data/cifar10",
- train=True,
- download=True,
- transforms={"Albumentations": {"Compose": {"transforms": [{"HorizontalFlip": {"p": 1.0}}, {"InvertImg": {"p": 1.0}}]}}},
- )
- img_aug, _ = ds.__getitem__(0)
- img_no_aug_transformed = self._apply_aug(img_no_aug)
- self.assertTrue(np.allclose(img_no_aug_transformed, img_aug))
- def test_cifar100_albumentations_integration(self):
- ds_no_aug = Cifar100(root="./data/cifar100", train=True, download=True)
- img_no_aug, _ = ds_no_aug.__getitem__(0)
- ds = Cifar100(
- root="./data/cifar100",
- train=True,
- download=True,
- transforms={"Albumentations": {"Compose": {"transforms": [{"HorizontalFlip": {"p": 1}}, {"InvertImg": {"p": 1.0}}]}}},
- )
- img_aug, _ = ds.__getitem__(0)
- img_no_aug_transformed = self._apply_aug(img_no_aug)
- self.assertTrue(np.allclose(img_no_aug_transformed, img_aug))
- def test_imagenet_albumentations_integration(self):
- ds_no_aug = ImageNetDataset(root="/data/Imagenet/val")
- img_no_aug, _ = ds_no_aug.__getitem__(0)
- ds = ImageNetDataset(
- root="/data/Imagenet/val", transforms={"Albumentations": {"Compose": {"transforms": [{"HorizontalFlip": {"p": 1}}, {"InvertImg": {"p": 1.0}}]}}}
- )
- img_aug, _ = ds.__getitem__(0)
- img_no_aug_transformed = self._apply_aug(img_no_aug)
- self.assertTrue(np.allclose(img_no_aug_transformed, img_aug))
- if __name__ == "__main__":
- unittest.main()
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