IOPaint/lama_cleaner/tests/test_paint_by_example.py

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import cv2
import pytest
from PIL import Image
from lama_cleaner.model_manager import ModelManager
from lama_cleaner.schema import HDStrategy
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from lama_cleaner.tests.utils import (
current_dir,
get_config,
get_data,
save_dir,
check_device,
)
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model_name = "Fantasy-Studio/Paint-by-Example"
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def assert_equal(
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model,
config,
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save_name: str,
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fx: float = 1,
fy: float = 1,
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img_p=current_dir / "overture-creations-5sI6fQgYIuo.png",
mask_p=current_dir / "overture-creations-5sI6fQgYIuo_mask.png",
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example_p=current_dir / "bunny.jpeg",
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):
img, mask = get_data(fx=fx, fy=fy, img_p=img_p, mask_p=mask_p)
example_image = cv2.imread(str(example_p))
example_image = cv2.cvtColor(example_image, cv2.COLOR_BGRA2RGB)
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example_image = cv2.resize(
example_image, None, fx=fx, fy=fy, interpolation=cv2.INTER_AREA
)
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print(f"Input image shape: {img.shape}, example_image: {example_image.shape}")
config.paint_by_example_example_image = Image.fromarray(example_image)
res = model(img, mask, config)
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cv2.imwrite(str(save_dir / save_name), res)
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@pytest.mark.parametrize("device", ["cuda", "mps", "cpu"])
def test_paint_by_example(device):
sd_steps = check_device(device)
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model = ModelManager(name=model_name, device=device, disable_nsfw=True)
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cfg = get_config(strategy=HDStrategy.ORIGINAL, sd_steps=sd_steps)
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assert_equal(
model,
cfg,
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f"paint_by_example_device_{device}.png",
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img_p=current_dir / "overture-creations-5sI6fQgYIuo.png",
mask_p=current_dir / "overture-creations-5sI6fQgYIuo_mask.png",
fy=0.9,
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fx=1.3,
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)