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

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

Last synced: 2 days ago
JSON representation

• Host: GitHub
• URL: https://github.com/nihui/ncnn-android-nanodet
• Owner: nihui
• Created: 2021-03-12T14:55:16.000Z (almost 4 years ago)
• Default Branch: master
• Last Pushed: 2024-12-27T08:49:00.000Z (about 2 months ago)
• Last Synced: 2025-01-05T06:17:01.885Z (about 1 month ago)
• Language: C++
• Size: 41.4 MB
• Stars: 380
• Watchers: 9
• Forks: 78
• Open Issues: 13
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

• awesome-ncnn - ncnn-android-nanodet

README

        
# ncnn-android-nanodet

The NanoDet object detection

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

## android apk file download

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

* 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

![](screenshot.jpg)