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