cvDestroyWindow:摧毁窗口。 在源文件同一个目录下,新建一个CMakeList文件,写入: 1. project(DisplayImage) 2. find_package(OpenCV REQUIRED) 3. add_executable(DisplayImage DisplayImage) 4. target_link_libraries(DisplayImage ${OpenCV_LIBS}) 5. cmake_minimum_required(VERSION 2.8) 1. 2. 3. 4. 5....
namedWindow( "Display window", WINDOW_AUTOSIZE ); // Create a window for display. 最后,要使用新的图像更新OpenCV窗口的内容,请使用cv :: imshow函数。指定要更新的OpenCV窗口名称以及在此操作期间要使用的图像: imshow( "Display window", image ); // Show our image inside it. 因为我们希望在用户按...
# draw the filled circle on input image cv2.circle(imageFilledCircle, circle_center, radius, (255, 0, 0), thickness=-1, lineType=cv2.LINE_AA) # display the output image cv2.imshow('Image with Filled Circle',imageFilledCircle) cv2.waitKey(0) 1. 2. 3. 4. 5. 6. 7. 8. 9. 10...
基本的GUI(显示图像/视频、键盘/鼠标操作、滑动条) Basic GUI (display image/video, keyboard and mouse handling, scroll-bars). 图像标注(直线、曲线、多边形、文本标注) Image labeling (line, conic, polygon, text drawing) (3) OpenCV模块 cv – 核心函数库cvaux – 辅助函数库cxcore – 数据结构与线性...
x_c = space_c; y_r += space_r + size_r; } cvSetImageROI(DispImage, cvRect(x_c, y_r, size_c, size_r));// Set the image ROI to display the current image cvResize(img, DispImage);// Resize the input image and copy the it to the Single Big Image ...
argv[1] ="C:\\images\\lena.jpg";Matimage;// 载入图文件image = imread(argv[1], CV_LOAD_IMAGE_COLOR);// 检查读取文件是否成功if(! image.data ) { cout <<"无法打开或找不到图文件"<< std::endl ;return-1; }// 建立显示图文件窗口...
#include <iostream>#include<opencv2/opencv.hpp>using namespace cv;int main(int, char**){Mat image = imread("image.jpg");imshow("image", image);waitKey(0);double angle = 45;// get the center coordinates of the image to create the 2D rotation matrixPoint2f center((image.cols - 1)...
picture_display.cpp: #include <opencv2/core/core.hpp> #include <opencv2/imgproc/imgproc.hpp> #include <opencv2/highgui/highgui.hpp> #include <iostream> int main (int argc, char **argv) { IplImage* img = cvLoadImage(argv[1]);
 `objectDetection.py`代码如下: ```python from __future__ import print_function importCV2as cv import argparse def detectAndDisplay(frame): ...
{}, depth={}".format(w,h,d))# display the image to our screen -- we will need to click the window open by OpenCV and press a key on our keyboard to continue execution#将图像显示到屏幕上——我们需要单击OpenCV打开的窗口,然后按键盘上的键继续执行cv2.imshow("Image",image)cv2.waitKey(...