update test
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@ -18,10 +18,8 @@ def get_data(fx=1, fy=1.0, img_p=current_dir / "image.png", mask_p=current_dir /
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img = cv2.imread(str(img_p))
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img = cv2.cvtColor(img, cv2.COLOR_BGRA2RGB)
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mask = cv2.imread(str(mask_p), cv2.IMREAD_GRAYSCALE)
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if fx != 1:
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img = cv2.resize(img, None, fx=fx, fy=fy, interpolation=cv2.INTER_AREA)
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mask = cv2.resize(mask, None, fx=fx, fy=fy, interpolation=cv2.INTER_NEAREST)
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img = cv2.resize(img, None, fx=fx, fy=fy, interpolation=cv2.INTER_AREA)
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mask = cv2.resize(mask, None, fx=fx, fy=fy, interpolation=cv2.INTER_NEAREST)
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return img, mask
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@ -40,6 +38,7 @@ def get_config(strategy, **kwargs):
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def assert_equal(model, config, gt_name, fx=1, fy=1, img_p=current_dir / "image.png", mask_p=current_dir / "mask.png"):
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img, mask = get_data(fx=fx, fy=fy, img_p=img_p, mask_p=mask_p)
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print(f"Input image shape: {img.shape}")
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res = model(img, mask, config)
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cv2.imwrite(
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str(save_dir / gt_name),
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@ -245,6 +244,7 @@ def test_runway_sd_1_5(strategy, sampler):
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f"runway_sd_{strategy.capitalize()}_{sampler}_result.png",
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img_p=current_dir / "overture-creations-5sI6fQgYIuo.png",
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mask_p=current_dir / "overture-creations-5sI6fQgYIuo_mask.png",
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fx=1.3
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)
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assert_equal(
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@ -253,6 +253,7 @@ def test_runway_sd_1_5(strategy, sampler):
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f"runway_sd_{strategy.capitalize()}_{sampler}_blur_mask_result.png",
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img_p=current_dir / "overture-creations-5sI6fQgYIuo.png",
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mask_p=current_dir / "overture-creations-5sI6fQgYIuo_mask_blur.png",
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fy=1.3
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)
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