# ncnn-android-yolov8-seg

**Repository Path**: FunXiaoYuZhou/ncnn-android-yolov8-seg

## Basic Information

- **Project Name**: ncnn-android-yolov8-seg
- **Description**: 基于ncnn、yolov8的学习项目
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 3
- **Forks**: 1
- **Created**: 2023-11-25
- **Last Updated**: 2026-02-09

## Categories & Tags

**Categories**: Uncategorized

**Tags**: 机器学习

## README

# ncnn-yolov8-seg


This is a sample ncnn yolov8 object segment android project, it depends on **ncnn** library and **opencv**.

Method 1

- [How to convert yolov8 model to ncnn model?](https://github.com/Digital2Slave/ncnn-android-yolov8-seg/wiki/Convert-yolov8-model-to-ncnn-model)

Method 2

- [Convert yolov8‐seg to ncnn model step by step](https://github.com/Digital2Slave/ncnn-android-yolov8-seg/wiki/Convert-yolov8%E2%80%90seg-to-ncnn-model-step-by-step)

Method 3

- ~~`ultralytics 8.0.129` add YOLOv8 Tencent NCNN export #3529 https://github.com/ultralytics/ultralytics/pull/3529~~


## 1 How to build and run

### 1.1 Configure ncnn

* Download [ncnn-YYYYMMDD-android-vulkan.zip](https://github.com/Tencent/ncnn/releases).
* Extract **ncnn-YYYYMMDD-android-vulkan.zip** into **app/src/main/jni** folder and change the **ncnn_DIR** path to yours in **app/src/main/jni/CMakeLists.txt**.

> For example:`ncnn-20221128-android-vulkan`

### 1.2 Configure OpenCV

* Download [opencv-mobile-XYZ-android.zip](https://github.com/nihui/opencv-mobile)
* 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**.

> For example:`opencv-mobile-4.6.0-android`

### 1.3 Build and Install ncnn-yolov8-seg app

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

## 2 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.

## 3 Screenshot

![](./doc/20230209114529.jpg)

## 4 Reference

- https://github.com/ultralytics/ultralytics 
- https://github.com/Tencent/ncnn
- https://github.com/nihui/opencv-mobile
- https://github.com/nihui/ncnn-android-nanodet 
- https://github.com/FeiGeChuanShu/ncnn-android-yolov8