我就废话不多说了，直接上代码吧！
#coding=utf-8 import cv2 import numpy as np '''双线性插值''' img = cv2.imread('timg.jpeg', cv2.cv_load_image_grayscale) # load the gray image cv2.imwrite('img.jpg', img) h, w = img.shape[:2] # shrink to half of the original a1 = np.array([[0.5, 0, 0], [0, 0.5, 0]], np.float32) d1 = cv2.warpaffine(img, a1, (w, h), bordervalue=125) # shrink to half of the original and move a2 = np.array([[0.5, 0, w /4], [0, 0.5, h / 4]], np.float32) d2 = cv2.warpaffine(img, a2, (w, h),flags=cv2.inter_nearest,bordervalue=125) # rotate based on d2 a3 = cv2.getrotationmatrix2d((w / 2, h / 2), 90, 1) d3 = cv2.warpaffine(d2, a3, (w, h),flags=cv2.inter_linear, bordervalue=125) cv2.imshow('img',img) cv2.imshow('d1',d1) cv2.imshow('d2',d2) cv2.imshow('d3',d3) cv2.waitkey(0) cv2.destroyallwindows()
以上这篇python-opencv 双线性插值实例就是小编分享给大家的全部内容了，希望能给大家一个参考，也希望大家多多支持。
