🐉 Android app to demo dlib-android(https://github.com/tzutalin/dlib-android). Use the prebuilt shared-lib built from dlib-android
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Latest commit f18f637 Jan 9, 2018



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See http://dlib.net for the main project documentation.

See dlib-android for JNI lib. Refer to dlib-android/jni/jnilib_ex

Grap the source

$ git clone https://github.com/tzutalin/dlib-android-app.git


  • Support HOG detector

  • HOG Face detection

  • Facial Landmark/Expression


Demo video


Android app

  • Open Android studio to build

  • Use command line to build (Optional)

On Windows platforms, type this command:

$ gradlew.bat assembleDebug

On Mac OS and Linux platforms, type these commands:

$ ./gradlew assembleDebug


$ make ; make install

Update shared lib (Optional)

You can build shared library from dlib-android

Copy the shared library to ./dlib/src/main/jniLibs/

Try directly

Download and install the apk

$ adb install demo/app-debug.apk

Otherwise, import the library to your build.gradle

repositories {
    maven {
        url 'https://dl.bintray.com/tzutalin/maven'

dependencies {
    implementation 'com.tzutalin.dlib-android-app:dlib:1.0.4'

Sample code

Facial landmark detection

FaceDet faceDet = new FaceDet(Constants.getFaceShapeModelPath());
Bitmap bitmap = BitmapFactory.decodeFile("Image Path");
List<VisionDetRet> results = faceDet.detect(bitmap);
for (final VisionDetRet ret : results) {
    String label = ret.getLabel();
    int rectLeft = ret.getLeft();
    int rectTop = ret.getTop();
    int rectRight = ret.getRight();
    int rectBottom = ret.getBottom();
    // Get 68 landmark points
    ArrayList<Point> landmarks = ret.getFaceLandmarks();
    for (Point point : landmarks) {
        int pointX = point.x;
        int pointY = point.y;

Pedestrian detection

Pedestrian pedestrianDet = new PedestrianDet();
List<VisionDetRet> personList = pedestrianDet.detect(imgPath);