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