mmdeploy/demo/java/ObjectDetection.java

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Add java apis and demos (#563) * add java classifier detector * add segmentor * fix lint * add ImageRestorer java apis and demo * remove useless count parameter for Segmentor and Restorer, add PoseDetector * add RotatedDetection java api and demo * add Ocr java demo and apis * remove mmrotate ncnn java api and demo * fix lint * sync java api folder after rebase to master * fix include * remove record * fix java apis dir path in cmake * add java demo readme * fix lint mdformat * add test javaapi ci * fix lint * fix flake8 * fix test javaapi ci * refactor readme.md * fix install opencv for ci * fix install opencv : add permission * add all codebases and mmcv install * add torch * install mmdeploy * fix image path * fix picture path * fix import ncnn * fix import ncnn * add submodule of pybind * fix pybind submodule * change download to git clone for submodule * fix ncnn dir * fix README error * simplify the github ci * fix ci * fix yapf * add JNI as required * fix Capitalize * fix Capitalize * fix copyright * ignore .class changed * add OpenJDK installation docs * install target of javaapi * simplify ci * add jar * fix ci * fix ci * fix test java command * debugging what failed * debugging what failed * debugging what failed * add java version info * install openjdk * add java env var * fix export * fix export * fix export * fix export * fix picture path * fix picture path * fix file name * fix file name * fix README * remove java_api strategy * fix python version * format task name * move args position * extract common utils code * show image class result * add detector result * segmentation result format * add ImageRestorer result * add PoseDetection java result format * fix ci * stage ocr * add visualize * move utils * fix lint * fix ocr bugs * fix ci demo * fix java classpath for ci * fix popd * fix ocr demo text garbled * fix ci * fix ci * fix ci * fix path of utils ci
2022-06-29 11:02:08 +08:00
import mmdeploy.Detector;
import mmdeploy.PixelFormat;
import mmdeploy.DataType;
import mmdeploy.Mat;
import javax.imageio.ImageIO;
import java.awt.Color;
import java.awt.image.BufferedImage;
import java.awt.image.DataBufferByte;
import java.awt.Graphics;
import java.io.File;
import java.io.IOException;
public class ObjectDetection {
public static void main(String[] args) {
// Parse arguments
if (args.length != 3) {
System.out.println("usage:\njava ObjectDetection deviceName modelPath imagePath");
return;
}
String deviceName = args[0];
String modelPath = args[1];
String imagePath = args[2];
// create detector
Detector detector = null;
try {
detector = new Detector(modelPath, deviceName, 0);
// load image
BufferedImage srcImg = ImageIO.read(new File(imagePath));
Mat img = Utils.bufferedImage2Mat(srcImg);
// apply detector
Detector.Result[] result = detector.apply(img);
// print results
Graphics ghandle = srcImg.createGraphics();
for (int i = 0; i < result.length; i++) {
Detector.Result value = result[i];
System.out.printf("box %d, left=%.2f, top=%.2f, right=%.2f, bottom=%.2f, label=%d, score=%.4f\n",
i, value.bbox.left, value.bbox.top, value.bbox.right, value.bbox.bottom, value.label_id, value.score);
if ((value.bbox.right - value.bbox.left) < 1 || (value.bbox.bottom - value.bbox.top) < 1) {
continue;
}
// skip detections less than specified score threshold
if (value.score < 0.3) {
continue;
}
if (value.mask != null) {
System.out.printf("mask %d, height=%d, width=%d\n", i, value.mask.shape[0], value.mask.shape[1]);
}
ghandle.setColor(new Color(0, 255, 0));
ghandle.drawRect((int)value.bbox.left, (int)value.bbox.top, (int)value.bbox.right - (int)value.bbox.left + 1, (int)value.bbox.bottom - (int)value.bbox.top + 1);
}
ghandle.dispose();
ImageIO.write(srcImg, "png", new File("output_detection.png"));
} catch (Exception e) {
System.out.println("exception: " + e.getMessage());
} finally {
// release detector
if (detector != null) {
detector.release();
}
}
}
}