从网络摄像头获取图像

使用 OpenCV 的 VideoCapture 类，使用 Java，C / C++和 Python，显示从网络摄像头拍摄的实时视频。

Java

import org.opencv.core.Core;
import org.opencv.core.Mat;
import org.opencv.videoio.VideoCapture;
 
public class Camera {
    public static void main(String[] args) {
        // Load Native Library
        System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
        // image container object
        Mat imageArray = new Mat();
        // Video device acces
        VideoCapture videoDevice = new VideoCapture();
        // 0:Start default video device 1,2 etc video device id
        videoDevice.open(0);
        // is contected
        if (videoDevice.isOpened()) {
        // Get frame from camera
            videoDevice.read(imageArray);
            // image array
            System.out.println(imageArray.toString());
            // Release video device
            videoDevice.release();
        } else {
            System.out.println("Error.");
        }
    }
}

C++

#include "opencv2/opencv.hpp"
#include "iostream"

int main(int, char**) {
    // open the first webcam plugged in the computer
    cv::VideoCapture camera(0);
    if (!camera.isOpened()) {
        std::cerr << "ERROR: Could not open camera" << std::endl;
        return 1;
    }

    // create a window to display the images from the webcam
    cv::namedWindow("Webcam", CV_WINDOW_AUTOSIZE);

    // this will contain the image from the webcam
    cv::Mat frame;
        
    // capture the next frame from the webcam
    camera >> frame;
    
    // display the frame until you press a key
    while (1) {
        // show the image on the window
        cv::imshow("Webcam", frame);
        // wait (10ms) for a key to be pressed
        if (cv::waitKey(10) >= 0)
            break;
    }
    return 0;
}

Python

import numpy as np
import cv2

# Video source - can be camera index number given by 'ls /dev/video*
# or can be a video file, e.g. '~/Video.avi'
cap = cv2.VideoCapture(0)

while(True):
    # Capture frame-by-frame
    ret, frame = cap.read()

    # Our operations on the frame come here
    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)

    # Display the resulting frame
    cv2.imshow('frame',gray)
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

# When everything done, release the capture
cap.release()
cv2.destroyAllWindows()