mirror of
https://github.com/Bing-su/adetailer.git
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175 lines
4.6 KiB
Python
175 lines
4.6 KiB
Python
import cv2
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import numpy as np
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import pytest
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from PIL import Image, ImageDraw
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from adetailer.mask import dilate_erode, has_intersection, is_all_black, offset
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def test_dilate_positive_value():
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img = Image.new("L", (10, 10), color="black")
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draw = ImageDraw.Draw(img)
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draw.rectangle((3, 3, 5, 5), fill="white")
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value = 3
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result = dilate_erode(img, value)
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assert isinstance(result, Image.Image)
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assert result.size == (10, 10)
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expect = np.array(
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[
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[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
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[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
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[0, 0, 255, 255, 255, 255, 255, 0, 0, 0],
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[0, 0, 255, 255, 255, 255, 255, 0, 0, 0],
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[0, 0, 255, 255, 255, 255, 255, 0, 0, 0],
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[0, 0, 255, 255, 255, 255, 255, 0, 0, 0],
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[0, 0, 255, 255, 255, 255, 255, 0, 0, 0],
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[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
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[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
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[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
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],
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dtype=np.uint8,
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)
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assert np.array_equal(np.array(result), expect)
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def test_offset():
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img = Image.new("L", (10, 10), color="black")
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draw = ImageDraw.Draw(img)
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draw.rectangle((4, 4, 5, 5), fill="white")
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result = offset(img, x=1, y=2)
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assert isinstance(result, Image.Image)
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assert result.size == (10, 10)
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expect = np.array(
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[
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[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
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[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
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[0, 0, 0, 0, 0, 255, 255, 0, 0, 0],
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[0, 0, 0, 0, 0, 255, 255, 0, 0, 0],
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[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
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[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
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[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
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[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
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[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
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[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
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],
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dtype=np.uint8,
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)
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assert np.array_equal(np.array(result), expect)
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def test_is_all_black_1():
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img = Image.new("L", (10, 10), color="black")
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assert is_all_black(img)
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draw = ImageDraw.Draw(img)
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draw.rectangle((4, 4, 5, 5), fill="white")
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assert not is_all_black(img)
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def test_is_all_black_2():
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img = np.zeros((10, 10), dtype=np.uint8)
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assert is_all_black(img)
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img[4:6, 4:6] = 255
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assert not is_all_black(img)
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def test_is_all_black_rgb_image_pil():
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img = Image.new("RGB", (10, 10), color="red")
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assert not is_all_black(img)
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img = Image.new("RGBA", (10, 10), color="red")
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assert not is_all_black(img)
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def test_is_all_black_rgb_image_numpy():
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img = np.full((10, 10, 4), 127, dtype=np.uint8)
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with pytest.raises(cv2.error):
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is_all_black(img)
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img = np.full((4, 10, 10), 0.5, dtype=np.float32)
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with pytest.raises(cv2.error):
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is_all_black(img)
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def test_has_intersection_1():
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arr1 = np.array(
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[
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[0, 0, 0, 0],
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[0, 0, 0, 0],
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[0, 0, 0, 0],
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[0, 0, 0, 0],
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]
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)
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arr2 = arr1.copy()
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assert not has_intersection(arr1, arr2)
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def test_has_intersection_2():
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arr1 = np.array(
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[
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[0, 0, 0, 0],
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[0, 255, 255, 0],
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[0, 255, 255, 0],
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[0, 0, 0, 0],
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]
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)
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arr2 = np.array(
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[
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[0, 0, 0, 0],
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[0, 0, 0, 0],
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[0, 0, 255, 255],
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[0, 0, 255, 255],
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]
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)
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assert has_intersection(arr1, arr2)
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arr3 = np.array(
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[
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[255, 0, 0, 0],
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[0, 0, 0, 0],
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[0, 0, 0, 255],
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[0, 0, 255, 255],
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]
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)
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assert not has_intersection(arr1, arr3)
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def test_has_intersection_3():
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img1 = Image.new("L", (10, 10), color="black")
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draw1 = ImageDraw.Draw(img1)
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draw1.rectangle((3, 3, 5, 5), fill="white")
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img2 = Image.new("L", (10, 10), color="black")
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draw2 = ImageDraw.Draw(img2)
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draw2.rectangle((6, 6, 8, 8), fill="white")
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assert not has_intersection(img1, img2)
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img3 = Image.new("L", (10, 10), color="black")
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draw3 = ImageDraw.Draw(img3)
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draw3.rectangle((2, 2, 8, 8), fill="white")
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assert has_intersection(img1, img3)
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def test_has_intersection_4():
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img1 = Image.new("RGB", (10, 10), color="black")
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draw1 = ImageDraw.Draw(img1)
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draw1.rectangle((3, 3, 5, 5), fill="white")
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img2 = Image.new("RGBA", (10, 10), color="black")
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draw2 = ImageDraw.Draw(img2)
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draw2.rectangle((2, 2, 8, 8), fill="white")
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assert has_intersection(img1, img2)
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def test_has_intersection_5():
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img1 = Image.new("RGB", (10, 10), color="black")
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draw1 = ImageDraw.Draw(img1)
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draw1.rectangle((4, 4, 5, 5), fill="white")
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img2 = np.full((10, 10, 4), 255, dtype=np.uint8)
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assert has_intersection(img1, img2)
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