mirror of
https://github.com/AUTOMATIC1111/stable-diffusion-webui.git
synced 2024-06-07 21:20:49 +00:00
30 lines
1.1 KiB
Python
30 lines
1.1 KiB
Python
|
import os
|
||
|
from test.conftest import test_files_path, test_outputs_path
|
||
|
|
||
|
import numpy as np
|
||
|
import pytest
|
||
|
from PIL import Image
|
||
|
|
||
|
|
||
|
@pytest.mark.usefixtures("initialize")
|
||
|
@pytest.mark.parametrize("restorer_name", ["gfpgan", "codeformer"])
|
||
|
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"))
|