我就廢話不多說了，直接上代碼吧！

import cv2from math import fabs, sin, cos, radiansimport numpy as npfrom scipy.stats import modedef get_img_rot_broa(img, degree=45, filled_color=-1): """ Desciption:  Get img rotated a certain degree, and use some color to fill 4 corners of the new img. """ # 獲取旋轉后4角的填充色 if filled_color == -1: filled_color = mode([img[0, 0], img[0, -1],    img[-1, 0], img[-1, -1]]).mode[0] if np.array(filled_color).shape[0] == 2: if isinstance(filled_color, int):  filled_color = (filled_color, filled_color, filled_color) else: filled_color = tuple([int(i) for i in filled_color]) height, width = img.shape[:2] # 旋轉后的尺寸 height_new = int(width * fabs(sin(radians(degree))) +   height * fabs(cos(radians(degree)))) width_new = int(height * fabs(sin(radians(degree))) +   width * fabs(cos(radians(degree)))) mat_rotation = cv2.getRotationMatrix2D((width / 2, height / 2), degree, 1) mat_rotation[0, 2] += (width_new - width) / 2 mat_rotation[1, 2] += (height_new - height) / 2 # Pay attention to the type of elements of filler_color, which should be # the int in pure python, instead of those in numpy. img_rotated = cv2.warpAffine(img, mat_rotation, (width_new, height_new),     borderValue=filled_color) # 填充四個角 mask = np.zeros((height_new + 2, width_new + 2), np.uint8) mask[:] = 0 seed_points = [(0, 0), (0, height_new - 1), (width_new - 1, 0),   (width_new - 1, height_new - 1)] for i in seed_points: cv2.floodFill(img_rotated, mask, i, filled_color) return img_rotated

以上這篇Python+OpenCV+圖片旋轉并用原底色填充新四角的例子就是小編分享給大家的全部內容了，希望能給大家一個參考，也希望大家多多支持武林網(wǎng)之家。