mmdeploy/demo/java/Ocr.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.TextDetector;
import mmdeploy.TextRecognizer;
import mmdeploy.PixelFormat;
import mmdeploy.DataType;
import mmdeploy.Mat;
import javax.imageio.ImageIO;
import java.awt.image.BufferedImage;
import java.awt.image.DataBufferByte;
import java.io.File;
import java.io.IOException;
public class Ocr {
public static void main(String[] args) {
// Parse arguments
if (args.length != 4) {
System.out.println("usage:\njava TextDetection deviceName detModelPath recModelPath imagePath");
return;
}
String deviceName = args[0];
String detModelPath = args[1];
String recModelPath = args[2];
String imagePath = args[3];
// create text detector and recognizer
TextDetector text_detector = null;
TextRecognizer text_recognizer = null;
try {
text_detector = new TextDetector(detModelPath, deviceName, 0);
text_recognizer = new TextRecognizer(recModelPath, deviceName, 0);
// load image
Mat img = Utils.loadImage(imagePath);
// apply text detector
TextDetector.Result[] detResult = text_detector.apply(img);
int [] detResultCount = {detResult.length};
TextRecognizer.Result[] recResult = text_recognizer.applyBbox(img, detResult, detResultCount);
// print results
for (int i = 0; i < detResultCount[0]; ++i) {
System.out.printf("box[%d]: %s\n", i, new String(recResult[i].text));
for (int j = 0; j < 4; ++j) {
System.out.printf("x: %.2f, y: %.2f, ", detResult[i].bbox[j].x, detResult[i].bbox[j].y);
}
System.out.printf("\n");
}
} catch (Exception e) {
System.out.println("exception: " + e.getMessage());
} finally {
// release text detector and recognizer
if (text_recognizer != null) {
text_recognizer.release();
}
if (text_detector != null) {
text_detector.release();
}
}
}
}