How do I use OpenCV for computer vision in C++?

Using OpenCV for Computer Vision in C++

OpenCV (Open Source Computer Vision Library) is an open-source computer vision and machine learning software library. It provides a common infrastructure for computer vision applications and supports various functionalities like image processing, machine learning, and real-time video analysis. In C++, OpenCV enables developers to build powerful computer vision applications efficiently.

Getting Started with OpenCV in C++

To get started, you need to install OpenCV. You can download it from the official website or use a package manager based on your operating system. Once installed, you can include OpenCV headers in your C++ files and start utilizing its features.

Basic Example: Reading and Displaying an Image

Here is a simple example demonstrating how to read an image from your filesystem and display it in a window using OpenCV in C++:

#include int main() { // Load the image cv::Mat image = cv::imread("path/to/your/image.jpg"); if (image.empty()) { std::cerr << "Could not open or find the image!" << std::endl; return -1; } // Display the image in a window cv::imshow("Display window", image); cv::waitKey(0); // Wait for a keystroke in the window return 0; }

In this example, we include the OpenCV header, load an image with `cv::imread`, and then display it using `cv::imshow`. The program waits for a key press before exiting, allowing the user to view the image.


OpenCV C++ computer vision image processing real-time video analysis machine learning Open Source Computer Vision Library

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