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feat(android): added opencv framework compile reference and minor improvements

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This commit is contained in:
Malte Peters
2018-02-13 19:14:38 +01:00
parent 679a5d29bb
commit 58f8e0fef9
2 changed files with 15 additions and 11 deletions
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android/build.gradle
+1
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@@ -43,6 +43,7 @@ dependencies {
compile "com.drewnoakes:metadata-extractor:2.9.1"
compile 'com.google.android.gms:play-services-vision:+'
compile "com.android.support:exifinterface:26.0.2"
compile project(':openCVLibrary340')
compile 'com.github.react-native-community:cameraview:d5d9b0d925494ef451ce3eef3fdf14cc874d9baa'
}
android/src/main/java/org/reactnative/opencv/OpenCVProcessor.java
+14 -11
View File
@@ -19,7 +19,7 @@ import org.opencv.core.Size;
import org.opencv.imgcodecs.Imgcodecs;
import org.opencv.imgproc.Imgproc;
import org.opencv.objdetect.CascadeClassifier;
import org.reactnative.camera.C0623R;
import org.reactnative.camera.R;
public class OpenCVProcessor {
private CascadeClassifier faceDetector;
@@ -29,7 +29,7 @@ public class OpenCVProcessor {
public OpenCVProcessor(Context context) {
this.reactContext = context;
try {
InputStream is = this.reactContext.getResources().openRawResource(C0623R.raw.lbpcascade_frontalface_improved);
InputStream is = this.reactContext.getResources().openRawResource(R.raw.lbpcascade_frontalface_improved);
File mCascadeFile = new File(this.reactContext.getDir("cascade", 0), "lbpcascade_frontalface_improved.xml");
FileOutputStream os = new FileOutputStream(mCascadeFile);
byte[] buffer = new byte[4096];
@@ -57,7 +57,7 @@ public class OpenCVProcessor {
}
private void saveMatToDisk(Mat mat) {
Imgcodecs.imwrite(String.format("/sdcard/nect/%d.jpg", new Object[]{Long.valueOf(System.currentTimeMillis())}), mat);
Imgcodecs.imwrite(String.format("/sdcard/nect/%d.jpg", new Object[]{String.valueOf(System.currentTimeMillis())}), mat);
}
public SparseArray<Map<String, Float>> detect(byte[] imageData, int width, int height) {
@@ -69,25 +69,28 @@ public class OpenCVProcessor {
Imgproc.cvtColor(mat, grayMat, 106);
Core.transpose(grayMat, grayMat);
Core.flip(grayMat, grayMat, -1);
float scale = 480.0f / ((float) grayMat.cols());
float imageHeight = ((float) grayMat.rows()) * scale;
Imgproc.resize(grayMat, grayMat, new Size(), (double) scale, (double) scale, 2);
float imageWidth = 480f;
float scale = imageWidth / grayMat.cols();
float imageHeight = grayMat.rows() * scale;
Imgproc.resize(grayMat, grayMat, new Size(), scale, scale, 2);
if (this.frame == 30) {
Log.d(ReactConstants.TAG, "---SAVE IMAGE!!--- ");
saveMatToDisk(grayMat);
}
MatOfRect rec = new MatOfRect();
this.faceDetector.detectMultiScale(grayMat, rec, 1.2d, 3, 0, new Size(10.0d, 10.0d), new Size());
this.faceDetector.detectMultiScale(grayMat, rec, 1.2, 3, 0, new Size(10, 10), new Size());
Rect[] detectedObjects = rec.toArray();
if (detectedObjects.length > 0) {
Log.d(ReactConstants.TAG, "---FOUND FACE!!--- ");
}
for (int i = 0; i < detectedObjects.length; i++) {
Map<String, Float> face = new HashMap();
face.put("x", Float.valueOf(((float) detectedObjects[i].f33x) / 480.0f));
face.put("y", Float.valueOf(((float) detectedObjects[i].f34y) / imageHeight));
face.put("width", Float.valueOf(((float) detectedObjects[i].width) / 480.0f));
face.put("height", Float.valueOf(((float) detectedObjects[i].height) / imageHeight));
face.put("x", detectedObjects[i].x / imageWidth);
face.put("y", detectedObjects[i].y / imageHeight);
face.put("width", detectedObjects[i].width / imageWidth);
face.put("height", detectedObjects[i].height / imageHeight);
faces.append(i, face);
}
}