test_face_restorers.py 1.1 KB

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  1. import os
  2. from test.conftest import test_files_path, test_outputs_path
  3. import numpy as np
  4. import pytest
  5. from PIL import Image
  6. @pytest.mark.usefixtures("initialize")
  7. @pytest.mark.parametrize("restorer_name", ["gfpgan", "codeformer"])
  8. def test_face_restorers(restorer_name):
  9. from modules import shared
  10. if restorer_name == "gfpgan":
  11. from modules import gfpgan_model
  12. gfpgan_model.setup_model(shared.cmd_opts.gfpgan_models_path)
  13. restorer = gfpgan_model.gfpgan_fix_faces
  14. elif restorer_name == "codeformer":
  15. from modules import codeformer_model
  16. codeformer_model.setup_model(shared.cmd_opts.codeformer_models_path)
  17. restorer = codeformer_model.codeformer.restore
  18. else:
  19. raise NotImplementedError("...")
  20. img = Image.open(os.path.join(test_files_path, "two-faces.jpg"))
  21. np_img = np.array(img, dtype=np.uint8)
  22. fixed_image = restorer(np_img)
  23. assert fixed_image.shape == np_img.shape
  24. assert not np.allclose(fixed_image, np_img) # should have visibly changed
  25. Image.fromarray(fixed_image).save(os.path.join(test_outputs_path, f"{restorer_name}.png"))