「深度学习福利」大神带你进阶工程师，立即查看>>> #include <stdio.h> #include <opencv2/opencv.hpp> using namespace cv; int main(int argc, char** argv ) { if ( argc != 2 ) { printf("usage: DisplayImage.out <Image_Path>\n"); return -1; } Mat image; image = imread( argv[1], 1 ); if ( !image.data ) { printf("No image data \n"); return -1; } namedWindow("Display Image", WINDOW_AUTOSIZE ); imshow("Display Image", image); waitKey(0); return 0; } #!/usr/bin/env python import cv2 print(cv2.__version__) import numpy as np img=cv2.imread("a.png",cv2.IMREAD_COLOR) cv2.imshow(" this is test",img) cv2.waitKey(0) cv2.waitKey(27) #cv2.waitKey(VK_ESCAPE) #%hist -f DisplayImage.py