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| import os | |
| from test.conftest import test_files_path, test_outputs_path | |
| import numpy as np | |
| import pytest | |
| from PIL import Image | |
| def test_face_restorers(restorer_name): | |
| from modules import shared | |
| if restorer_name == "gfpgan": | |
| from modules import gfpgan_model | |
| gfpgan_model.setup_model(shared.cmd_opts.gfpgan_models_path) | |
| restorer = gfpgan_model.gfpgan_fix_faces | |
| elif restorer_name == "codeformer": | |
| from modules import codeformer_model | |
| codeformer_model.setup_model(shared.cmd_opts.codeformer_models_path) | |
| restorer = codeformer_model.codeformer.restore | |
| else: | |
| raise NotImplementedError("...") | |
| img = Image.open(os.path.join(test_files_path, "two-faces.jpg")) | |
| np_img = np.array(img, dtype=np.uint8) | |
| fixed_image = restorer(np_img) | |
| assert fixed_image.shape == np_img.shape | |
| assert not np.allclose(fixed_image, np_img) # should have visibly changed | |
| Image.fromarray(fixed_image).save(os.path.join(test_outputs_path, f"{restorer_name}.png")) | |