release: lineartization v1.6.1 - color/handwritten image to line-art (skeleton & minimum modes, tunable denoise)
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"""
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lineart-extractor 单元测试
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==========================
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运行: pytest tests/ -v
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"""
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import os
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import sys
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import numpy as np
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import pytest
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sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
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from lineartization import (
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LineArtConfig,
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extract_lineart,
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extract_lineart_file,
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load_image,
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save_image,
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)
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# --------------------------------------------------------------------------- #
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# 测试用图: 合成"白底 + 黑字 + 彩色块"
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# --------------------------------------------------------------------------- #
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@pytest.fixture
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def sample_image():
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"""构造一张 400x600 的合成图: 白底 + 黑色矩形(模拟文字) + 彩色块。"""
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img = np.full((400, 600, 3), 255, np.uint8)
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# 中央"文字区": 密集小黑块
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rng = np.random.default_rng(42)
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for _ in range(120):
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x = rng.integers(180, 420)
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y = rng.integers(150, 250)
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img[y:y + 4, x:x + 4] = 0
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# 左侧彩色块(模拟山体)
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img[60:160, 20:180] = (60, 160, 80) # 绿
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img[160:220, 20:180] = (80, 120, 200) # 偏蓝
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# 右侧一个红色圆(模拟灯笼)
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import cv2
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cv2.circle(img, (500, 120), 40, (40, 40, 200), 3)
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return img
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# --------------------------------------------------------------------------- #
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# 测试
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# --------------------------------------------------------------------------- #
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def test_load_save_roundtrip(tmp_path, sample_image):
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"""读写往返一致。"""
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p = tmp_path / "in.png"
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save_image(str(p), sample_image)
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loaded = load_image(str(p))
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assert loaded.shape == sample_image.shape
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assert np.allclose(loaded, sample_image, atol=2)
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def test_extract_returns_binary(sample_image):
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"""输出必须是二值(0/255)白底黑线。"""
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out = extract_lineart(sample_image, LineArtConfig(enable_green_smoothing=False))
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assert out.dtype == np.uint8
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assert out.ndim == 2
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uniq = np.unique(out)
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assert set(uniq.tolist()).issubset({0, 255})
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assert out.shape == sample_image.shape[:2]
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def test_extract_has_content(sample_image):
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"""输出不能空白、也不能全黑。"""
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out = extract_lineart(sample_image, LineArtConfig(enable_green_smoothing=False))
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black_ratio = (out < 128).mean() * 100
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assert 0.1 < black_ratio < 90.0
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def test_line_width_effect(sample_image):
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"""线宽参数应影响黑占比(越粗越多)。"""
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cfg1 = LineArtConfig(line_width=1, enable_green_smoothing=False)
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cfg3 = LineArtConfig(line_width=3, enable_green_smoothing=False)
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r1 = (extract_lineart(sample_image, cfg1) < 128).mean()
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r3 = (extract_lineart(sample_image, cfg3) < 128).mean()
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assert r3 > r1
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def test_green_smoothing_toggle(sample_image):
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"""绿块抹平开关都应能正常出图。"""
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for flag in (True, False):
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cfg = LineArtConfig(enable_green_smoothing=flag)
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out = extract_lineart(sample_image, cfg)
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assert (out < 128).mean() > 0
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def test_protect_areas(sample_image):
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"""保护区域内的线条不应被删。"""
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cfg = LineArtConfig(
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enable_green_smoothing=False,
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protect_areas=[(0, 200, 0, 400)],
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)
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out = extract_lineart(sample_image, cfg)
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assert (out < 128).sum() > 0
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def test_file_interface(tmp_path, sample_image):
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"""extract_lineart_file 接口正常。"""
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src = tmp_path / "src.png"
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dst = tmp_path / "dst.png"
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save_image(str(src), sample_image)
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result = extract_lineart_file(str(src), str(dst),
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LineArtConfig(enable_green_smoothing=False))
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assert os.path.exists(result)
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assert result == str(dst)
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def test_load_missing_file():
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"""读取不存在的文件应抛异常。"""
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with pytest.raises((FileNotFoundError, Exception)):
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load_image("___no_such_file___.png")
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def test_chinese_path(tmp_path, sample_image):
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"""中文路径应正常工作。"""
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src = tmp_path / "中文图片.png"
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dst = tmp_path / "输出_láthair.png"
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save_image(str(src), sample_image)
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out = extract_lineart_file(str(src), str(dst),
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LineArtConfig(enable_green_smoothing=False))
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assert os.path.exists(out)
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