Disclaimer

Credit for this project should go to: https://github.com/nihui. I merely made some slight adjustments.

What's new

✔️ Get detected Object's information (Label, Position and Bounding Box)

This repository implements a callback from the C++ Layer to the Android Layer using JNI (java native interface).
This essentially means you can access information about the detected object comfortably from the Java Layer.
The following diagram focuses on particular aspects and layers of the architecture.

In code, this boils down to a callback method in MainActivity. This method is called by the native (C/C++) Layer. (This happens several times per second)

    public void callback(String output, String probability, String x, String y, String width, String height) {
        runOnUiThread(new Runnable() {
            @Override
            public void run() {
                binding.textViewCurrentLabel.setText(String.format("label: %s, \nprobability: %s, Rect: [x: %s, y: %s, width: %s, height: %s ]",
                        output, probability, x, y, width, height));
            }
        });
    }

Demo

ncnn-android-yolo5

This is a sample ncnn android project, it depends on ncnn library and opencv

https://github.com/Tencent/ncnn

https://github.com/nihui/opencv-mobile

how to build and run

step1

https://github.com/Tencent/ncnn/releases

• Download ncnn-YYYYMMDD-android-vulkan.zip or build ncnn for android yourself
• Extract ncnn-YYYYMMDD-android-vulkan.zip into app/src/main/jni and change the ncnn_DIR path to yours in app/src/main/jni/CMakeLists.txt

step2

https://github.com/nihui/opencv-mobile

• Download opencv-mobile-XYZ-android.zip
• Extract opencv-mobile-XYZ-android.zip into app/src/main/jni and change the OpenCV_DIR path to yours in app/src/main/jni/CMakeLists.txt