第三次作业完成

2024-11-21 01:25:57 +08:00
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+# 用opencv对一图片完成平移（X方向20px，Y方向20px）、缩小（0.5倍）、放大（2倍）、旋转（逆时针90度）、翻转（水平）、仿射（任意）、透视（任意）操作，所有操作后与原图保持相同大小
+
+import cv2 as cv
+import numpy as np
+
+image = cv.imread('img.jpg', cv.IMREAD_UNCHANGED)
+
+height, width = image.shape[:2]
+
+# 1.平移
+M_translate = np.float32([[1, 0, 20], [0, 1, 20]])
+image_translate = cv.warpAffine(image, M_translate, (width, height))
+
+# 2.缩小操作（0.5倍）
+image_resized_small = cv.resize(image, (0, 0), fx=0.5, fy=0.5)
+
+# 3.放大操作（2倍）
+image_resized_large = cv.resize(image, (0, 0), fx=2, fy=2)
+
+# 4.旋转操作（逆时针90度）
+M_rotate = cv.getRotationMatrix2D((width / 2, height / 2), -90, 1)
+image_rotated = cv.warpAffine(image, M_rotate, (width, height))
+
+# 5.翻转操作（水平翻转）
+image_flipped = cv.flip(image, 1)
+
+# 6.仿射变换（任意）
+# 三个点的原图与目标图像对应
+pts1 = np.float32([[50, 50], [200, 50], [50, 200]])
+pts2 = np.float32([[10, 100], [250, 50], [100, 250]])
+M_affine = cv.getAffineTransform(pts1, pts2)
+image_affine = cv.warpAffine(image, M_affine, (width, height))
+
+# 7.透视变换（任意）
+# 四个点的原图与目标图像对应
+pts1 = np.float32([[56, 65], [368, 52], [28, 387], [389, 390]])
+pts2 = np.float32([[0, 0], [width, 0], [0, height], [width, height]])
+M_perspective = cv.getPerspectiveTransform(pts1, pts2)
+image_perspective = cv.warpPerspective(image, M_perspective, (width, height))
+
+# 展示
+cv.imshow('原图', image)
+cv.imshow('1.平移', image_translate)
+cv.imshow('2.缩小操作（0.5倍）', image_resized_small)
+cv.imshow('3.放大操作（2倍）', image_resized_large)
+cv.imshow('4.旋转操作（逆时针90度）', image_rotated)
+cv.imshow('5.翻转操作（水平翻转）', image_flipped)
+cv.imshow('6.仿射变换（任意）', image_affine)
+cv.imshow('7.透视变换（任意）', image_perspective)
+cv.waitKey(0)
+cv.destroyAllWindows()