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两张图片，至少找到4个对应的点，即可获得两张图的转换关系 cv::Mat src1(1280, 960, CV_8UC1, cv::Scalar(0)); circle(src, cv::Point(360,360), 15, cv::Scalar(255,255,255),CV_FILLED, 8,0); circle(src, cv::Point(760,360), 15, cv::Scalar(255,255,255),CV_FILLED, 8,0); circle

简介 去除畸变是图像处理最常用的操作，请获取去除畸变的多种方式！记得点赞！给苦逼的程序员一点动力。 PYTHON 除畸变 #获得去除畸变的图像 def calibration(img): mtx = np.array([ [ 2.43714600e+02, 0., 3.56074585e+02], [0., 1.43695648e+02, 2.82849579e+02], [0, 0, 1]]) dist

import cv2 import numpy as np def read_map(filepath): f = open(filepath) map = np.fromfile(f, dtype=np.float32) return map maxpx_ = ".../robot/mapx" maxpy_ = ".../robot/mapy" mapx = read_map(maxpx_) mapx = np.reshape(mapx, (720, 1280)) ma