https://github.com/nihui/ncnn-android-rvm

https://github.com/nihui/ncnn-android-rvm

Last synced: about 1 year ago
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• Host: GitHub
• URL: https://github.com/nihui/ncnn-android-rvm
• Owner: nihui
• Created: 2025-04-30T10:39:57.000Z (over 1 year ago)
• Default Branch: master
• Last Pushed: 2025-04-30T10:52:34.000Z (over 1 year ago)
• Last Synced: 2025-04-30T12:06:53.686Z (over 1 year ago)
• Language: C++
• Size: 55 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# ncnn-android-rvm

![download](https://img.shields.io/github/downloads/nihui/ncnn-android-rvm/total.svg)

RVM

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

https://github.com/nihui/mesa-turnip-android-driver  (mesa turnip driver)

## android apk file download

https://github.com/nihui/ncnn-android-rvm/releases/latest

## 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**

### step3

https://github.com/nihui/mesa-turnip-android-driver

* Download mesa-turnip-android-XYZ.zip

* Create directory **app/src/main/jniLibs/arm64-v8a** if not exists

* Extract `libvulkan_freedreno.so` from mesa-turnip-android-XYZ.zip into **app/src/main/jniLibs/arm64-v8a**

### 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

## screenshot

![](screenshot0.jpg)

## guidelines for converting RVM models

TBA