OpenCV Java开发环境配置
Java 开发的IDE,推荐选择IDEA这个,真的比较好用,我下载的是社区版,免费可用。
安装好以后直接点击打开,选择 New Project
添加本地的OpenCV Java SDK的 Jar文件依赖包 从Project Structure到 Modules 到 Module SDK 添加Jars or Dependence
OpenCV Java 代码测试
OpenCV Java配置好以后,测试代码首先需要加载DLL,然后依赖Java SDK,可以实现图像加载与显示。测试代码如下:
package org.example; import org.opencv.core.*; import org.opencv.highgui.HighGui; import org.opencv.imgcodecs.Imgcodecs; //TIP To Run code, pressor // click the icon in the gutter. public class YOLOv5DNNDetector { public static void main(String[] args) { System.load("D:/opencv-4.8.0/opencv/build/java/x64/opencv_java480.dll"); System.out.println("start to read image..."); Mat inputImage = Imgcodecs.imread("D:/images/lena.jpg"); HighGui.imshow("Java OpenCV开发测试", inputImage); HighGui.waitKey(0); HighGui.destroyAllWindows(); System.exit(0); } }
运行结果如下:
YOLOv5模型部署
基于YOLOv5 7.0版本,完成了对象检测
public static void main(String[] args) { System.load("D:/opencv-4.8.0/opencv/build/java/x64/opencv_java480.dll"); System.out.println("start to read image..."); String file_path = "D:/python/yolov5-7.0/classes.txt"; try { Mat inputImage = Imgcodecs.imread("D:/bird_test/city-walk.jpg"); java.util.ArrayListboxes = new ArrayList<>(); FileInputStream fis = new FileInputStream(file_path); BufferedReader br = new BufferedReader(new InputStreamReader(fis)); YOLOv5DNNDetector detector = new YOLOv5DNNDetector("D:/python/yolov5-7.0/yolov5s.onnx", 0.5f, 0.5f, 640, 640); String line; ArrayList map_labels = new ArrayList<>(); while ((line = br.readLine()) != null) { map_labels.add(line); } detector.addAllLabels(map_labels); detector.infer_image(inputImage, boxes); HighGui.imshow("OpenCV4.8 for Java YOLOv5对象检测演示", inputImage); HighGui.waitKey(0); HighGui.destroyAllWindows(); } catch (Exception e) { e.printStackTrace(); } System.exit(0); }
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