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* 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
49 lines
1.4 KiB
Java
49 lines
1.4 KiB
Java
import mmdeploy.Classifier;
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import mmdeploy.PixelFormat;
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import mmdeploy.DataType;
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import mmdeploy.Mat;
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import javax.imageio.ImageIO;
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import java.awt.image.BufferedImage;
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import java.awt.image.DataBufferByte;
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import java.io.File;
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import java.io.IOException;
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public class ImageClassification {
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public static void main(String[] args) {
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// Parse arguments
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if (args.length != 3) {
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System.out.println("usage:\njava ImageClassification deviceName modelPath imagePath");
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return;
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}
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String deviceName = args[0];
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String modelPath = args[1];
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String imagePath = args[2];
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// create classifier
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Classifier classifier = null;
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try {
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classifier = new Classifier(modelPath, deviceName, 0);
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// load image
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Mat img = Utils.loadImage(imagePath);
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// apply classifier
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Classifier.Result[] result = classifier.apply(img);
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// print results
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for (Classifier.Result value : result) {
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System.out.printf("label: %d, score: %.4f\n", value.label_id, value.score);
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}
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} catch (Exception e) {
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System.out.println("exception: " + e.getMessage());
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} finally {
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// release classifier
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if (classifier != null) {
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classifier.release();
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}
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}
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}
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}
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