add ZITS
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@@ -6,7 +6,7 @@ import numpy as np
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import pytest
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from lama_cleaner.model_manager import ModelManager
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from lama_cleaner.schema import Config, HDStrategy
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from lama_cleaner.schema import Config, HDStrategy, LDMSampler
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current_dir = Path(__file__).parent.absolute().resolve()
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@@ -18,29 +18,32 @@ def get_data():
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return img, mask
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def get_config(strategy):
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return Config(
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def get_config(strategy, **kwargs):
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data = dict(
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ldm_steps=1,
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ldm_sampler=LDMSampler.plms,
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hd_strategy=strategy,
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hd_strategy_crop_margin=32,
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hd_strategy_crop_trigger_size=200,
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hd_strategy_resize_limit=200,
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)
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data.update(**kwargs)
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return Config(**data)
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def assert_equal(model, config, gt_name):
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img, mask = get_data()
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res = model(img, mask, config)
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# cv2.imwrite(gt_name, res,
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# [int(cv2.IMWRITE_JPEG_QUALITY), 100, int(cv2.IMWRITE_PNG_COMPRESSION), 0])
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cv2.imwrite(str(current_dir / gt_name), res,
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[int(cv2.IMWRITE_JPEG_QUALITY), 100, int(cv2.IMWRITE_PNG_COMPRESSION), 0])
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"""
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Note that JPEG is lossy compression, so even if it is the highest quality 100,
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when the saved image is reloaded, a difference occurs with the original pixel value.
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If you want to save the original image as it is, save it as PNG or BMP.
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when the saved images is reloaded, a difference occurs with the original pixel value.
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If you want to save the original images as it is, save it as PNG or BMP.
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"""
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gt = cv2.imread(str(current_dir / gt_name), cv2.IMREAD_UNCHANGED)
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assert np.array_equal(res, gt)
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# gt = cv2.imread(str(current_dir / gt_name), cv2.IMREAD_UNCHANGED)
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# assert np.array_equal(res, gt)
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@pytest.mark.parametrize('strategy', [HDStrategy.ORIGINAL, HDStrategy.RESIZE, HDStrategy.CROP])
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@@ -50,6 +53,18 @@ def test_lama(strategy):
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@pytest.mark.parametrize('strategy', [HDStrategy.ORIGINAL, HDStrategy.RESIZE, HDStrategy.CROP])
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def test_ldm(strategy):
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@pytest.mark.parametrize('ldm_sampler', [LDMSampler.ddim, LDMSampler.plms])
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def test_ldm(strategy, ldm_sampler):
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model = ModelManager(name='ldm', device='cpu')
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assert_equal(model, get_config(strategy), f'ldm_{strategy[0].upper() + strategy[1:]}_result.png')
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cfg = get_config(strategy, ldm_sampler=ldm_sampler)
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assert_equal(model, cfg, f'ldm_{strategy[0].upper() + strategy[1:]}_{ldm_sampler}_result.png')
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@pytest.mark.parametrize('strategy', [HDStrategy.ORIGINAL, HDStrategy.RESIZE, HDStrategy.CROP])
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@pytest.mark.parametrize('zits_wireframe', [False, True])
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def test_zits(strategy, zits_wireframe):
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model = ModelManager(name='zits', device='cpu')
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cfg = get_config(strategy, zits_wireframe=zits_wireframe)
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# os.environ['ZITS_DEBUG_LINE_PATH'] = str(current_dir / 'zits_debug_line.jpg')
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# os.environ['ZITS_DEBUG_EDGE_PATH'] = str(current_dir / 'zits_debug_edge.jpg')
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assert_equal(model, cfg, f'zits_{strategy[0].upper() + strategy[1:]}_wireframe_{zits_wireframe}_result.png')
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