Name		Name	Last commit message	Last commit date
parent directory ..
app		app
gradle/wrapper		gradle/wrapper
README.md		README.md
build.gradle		build.gradle
gradlew		gradlew
gradlew.bat		gradlew.bat
local.properties		local.properties
settings.gradle		settings.gradle

README.md

ncnn-android-yolov6

The YOLOv6 object detection demo of Android. You can directly download apk file from Android Demo here, many thanks to triple Mu.

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

How to build and run

step1

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

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

step3

download AndroidAssets.zip
Unzip AndroidAssets.zip, you will get a directory named as assets, move it into app/src/.

step4

Open this project with Android Studio, build it and enjoy!

some notes

Android ndk camera is used for best efficiency
Crash may happen on very old devices for lacking HAL3 camera interface
All models are manually modified to accept dynamic input shape
Most small models run slower on GPU than on CPU, this is common
FPS may be lower in dark environment because of longer camera exposure time

Reference：