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. 然后生成可执行文件: 1. cmake . 2. make 1. 2. 运行程序: 1. ./Disp...
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...
# write the text on the input image cv2.putText(imageText, text, org, fontFace = cv2.FONT_HERSHEY_COMPLEX, fontScale = 1.5, color = (250,225,100)) # display the output image with text over it cv2.imshow("Image Text",imageText) cv2.waitKey(0) cv2.destroyAllWindows() 1. 2. 3....
cvResize(img, DispImage);// Resize the input image and copy the it to the Single Big Image cvResetImageROI(DispImage);// Reset the ROI in order to display the next image } cvNamedWindow( title, 1 );// Create a new window, and show the Single Big Image cvShowImage( title, DispImage)...
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 – 数据结构与线性代数库highgui – GUI函数库ml – 机器学习函数库 ...
(filename);//加载图像13if(!image.data)14{15printf("No image data\n");16return-1;17}18std::cout << image.cols <<std::endl;19cv::namedWindow("Display Image", CV_WINDOW_AUTOSIZE);//创建窗口20cv::imshow("Display Image", image);//显示21cv::waitKey(0);22system("pause");23...
在显示图像之前,我们需要先创建一个窗口来容纳图像。可以使用OpenCV的namedWindow函数来创建窗口。例如,使用以下代码创建一个名为"ImageDisplay"的窗口: 代码语言:javascript 复制 cv2.namedWindow('Image Display') 2.2、图像显示 使用OpenCV的imshow函数来显示图像。该函数的第一个参数为窗口的名称(与之前创建的窗口名称...
{}, 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(...
import cv2import numpy as npimport matplotlib.pyplot as pltimport os# Load the imageimg = cv2.imread('display_image.png')# convert to grayscalegray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY) 结果如下: 上图中上半部分为输入原图,下半部分为灰度图。
img=cv2.imread("images/lena.jpg")# img=cv2.imread("Resources/test.png")# Display image cv2.imshow("Lena image",img)cv2.waitKey(0)cv2.destroyAllWindows() 在Python中运行结果如下: 显示图像 使用opencv-python读取本地视频 Opencv-python在线文档中有关于的Python示例代码:https://docs.opencv.org/4....