java+opencv4.5.3+wechatqrcode代碼細節和 自編譯類庫(帶下載地址)

想體驗下微信的二維碼掃描組件嗎？ 直接擼代碼，搞起~~~

import org.opencv.core.Core;
import org.opencv.core.CvType;
import org.opencv.core.Mat;

import java.awt.*;
import java.awt.image.BufferedImage;
import java.awt.image.DataBufferByte;
import java.awt.image.WritableRaster;
import java.net.URL;
import java.util.List;

/**
 * @program: test-wechatqrcode
 * @description: 微信二維碼掃描opencv庫方法調用
 * @author: test
 * @create: 221-08-21 17:05
 * 原創點贊：java+opencv4.5.3+wechatqrcode代碼細節和 自編譯類庫(帶下載地址) - 斷舍離-重學JAVA之路 - 博客園 (cnblogs.com)
 **/
public class WeChatQRCodeTool {
    private static volatile WeChatQRCodeTool instance;
    private static volatile org.opencv.wechat_qrcode.WeChatQRCode detector;
　　//封裝成了工具類，所以做成了單例
    private WeChatQRCodeTool() {
        System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
　　　　　//微信提供的4個模型配置文件放在resource/wechatqrcode文件夾里,
　　　　　　//下載地址：WeChatCV/opencv_3rdparty: OpenCV - 3rdparty (github.com)
　　　　 ClassLoader cl = WeChatQRCodeTool.class.getClassLoader();
        URL detectprototxt = cl.getResource("wechatqrcode/detect.prototxt");
        URL detectcaffemodel =cl.getResource("wechatqrcode/detect.caffemodel");
        URL srprototxt=cl.getResource("wechatqrcode/sr.prototxt");
        URL srcaffemodel =cl.getResource("wechatqrcode/sr.caffemodel");
 //實例化微信二維碼掃描對象
　　　　　//如果打成jar，那么路徑需要換到外部磁盤存儲目錄。 detector = new org.opencv.wechat_qrcode.WeChatQRCode( detectprototxt.getPath().substring(1), //因為使用的getResource方法獲取的是URL對象，而這個構造方法里需要傳入File的路徑，所以substring1去掉/D:/xx開頭的/
                detectcaffemodel.getPath().substring(1), srprototxt.getPath().substring(1), srcaffemodel.getPath().substring(1)); } public static WeChatQRCodeTool getInstance() { if (instance == null) { synchronized (WeChatQRCodeTool.class) { if (instance == null) { instance = new WeChatQRCodeTool(); } } } return instance; } 
　　/**
 * 這里提供一個bufferimage的入參。如果是File對象，可以用ImageIO.read()獲取一下bufferimage.
    *原創點贊：
　　*/
public String decode(BufferedImage srcImage) {

    int cvtype = CvType.CV_8UC3;
    if(srcImage.getType() == BufferedImage.TYPE_BYTE_GRAY) {
        cvtype = CvType.CV_8UC1;
    }
 Mat image = bufImg2Mat(srcImage, srcImage.getType(), cvtype);
 //返回解析的字符串，如果圖片有多個二維碼，則會返回多個。 List<String> result2 = detector.detectAndDecode(image); if (result2 != null && result2.size() > 0) { return result2.get(0); } return null; } /** * BufferedImage轉換成Mat * * @param original 要轉換的BufferedImage * @param imgType bufferedImage的類型 如 BufferedImage.TYPE_3BYTE_BGR * @param matType 轉換成mat的type 如 CvType.CV_8UC3
　　　* 這里如果不懂這些參數的話，建議寫死：BufferedImage.TYPE_3BYTE_BGR, CvType.CV_8UC3 */ public static Mat bufImg2Mat(BufferedImage original, int imgType, int matType) { if (original == null) { throw new IllegalArgumentException("original == null"); } byte[] pixels = null; // Don't convert if it already has correct type if (original.getType() != imgType) { // Create a buffered image BufferedImage image = new BufferedImage(original.getWidth(), original.getHeight(), imgType); // Draw the image onto the new buffer Graphics2D g = image.createGraphics(); try { g.setComposite(AlphaComposite.Src); g.drawImage(original, 0, 0, null);
 pixels = ((DataBufferByte)image.getRaster().getDataBuffer()).getData(); } finally { g.dispose(); } } else { pixels = ((DataBufferByte) original.getRaster().getDataBuffer()).getData();
 } Mat mat = Mat.eye(original.getHeight(), original.getWidth(), matType); mat.put(0, 0, pixels); return mat; } /** * Mat轉換為BufferedImage */ public static BufferedImage matToBufferedImage(Mat mat) { if (mat.height() > 0 && mat.width() > 0) { BufferedImage image = new BufferedImage(mat.width(), mat.height(), BufferedImage.TYPE_3BYTE_BGR); WritableRaster raster = image.getRaster(); DataBufferByte dataBuffer = (DataBufferByte) raster.getDataBuffer(); byte[] data = dataBuffer.getData(); mat.get(0, 0, data); return image; } return null; } } 

 由於wechatqrcode屬於第三方擴展庫，不屬於opencv的主版本，所以opencv自帶的發布dll和jar里沒有。需要自編譯。花了我一天時間。具體參考：

Windows下聯合編譯opencv+opencv_contrib微信二維碼引擎_VQB01799的博客-CSDN博客

不想花費時間編譯的，可以使用下面我分享到 網盤的opencv_java453.dll鏈接庫和opencv-453.jar

鏈接: https://pan.baidu.com/s/1quxjnThcehg1yjzY5Tp8wA 提取碼: 4bj6 復制這段內容后打開百度網盤手機App，操作更方便哦

如果有幫到你， 請點個贊！！！

/**
     * Mat轉換為BufferedImage
     */
    public static BufferedImage mat2img(Mat mat) {
        int dataSize = mat.cols() * mat.rows() * (int)mat.elemSize();
        byte[] data = new byte[dataSize];
        mat.get(0, 0, data);
        int type = mat.channels() == 1 ? 10 : 5;
        if (type == 5) {
            for (int i = 0; i < dataSize; i += 3) {
                byte blue = data[(i + 0)];
                data[(i + 0)] = data[(i + 2)];
                data[(i + 2)] = blue;
            }
        }
        BufferedImage image = new BufferedImage(mat.cols(), mat.rows(), type);
        image.getRaster().setDataElements(0, 0, mat.cols(), mat.rows(), data);
        return image;
    }