# TengineKit

**Repository Path**: geshengbin/TengineKit

## Basic Information

- **Project Name**: TengineKit
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Apache-2.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-11-20
- **Last Updated**: 2024-05-30

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

[中文版本](docs/README_CN.md)

![TengineKit](https://openailab.oss-cn-shenzhen.aliyuncs.com/logo/TengineKit.png?raw=true "TengineKit logo")
=======================================================================

# TengineKit - Free RealTime Face Landmarks 212 Points For Mobile.  
[![Apache 2.0](https://img.shields.io/crates/l/r)](LICENSE)     

TengineKit, developed by OPEN AI LAB.       
TengineKit is an easy-to-integrate face detection and face landmarks SDK. At present, it can run on various mobile phones at very low latency.**We will continue to update this project for better results and better performance!**

# Effect

| Face Detection &</br> Face 2dLandmark | Face 3dLandmark &</br>Iris | Upper Body Detection &</br> Uppper Body Landmark | Hand Detection &</br> Hand Landmark |
| :---: | :---: | :---: | :---: |
| <div align=center><img width="150" height="270"  src="https://openailab.oss-cn-shenzhen.aliyuncs.com/images/TengineKitDemo4.gif"/></div> | <div align=center><img width="150" height="270"  src="https://openailab.oss-cn-shenzhen.aliyuncs.com/images/face2.gif"/></div> | <div align=center><img width="150" height="270"  src="https://openailab.oss-cn-shenzhen.aliyuncs.com/images/body3.gif"/></div> | <div align=center><img width="150" height="270"  src="https://openailab.oss-cn-shenzhen.aliyuncs.com/images/hand2.gif"/></div> |



## Gif
<div align=center><img width="800" height="400"  src="https://openailab.oss-cn-shenzhen.aliyuncs.com/images/object_face_landmark.gif"/></div>
<div align=center><b>dance of host</b></div>

## Video( <a href="https://www.youtube.com/watch?v=bnyD3laX_bU" target="_blank">YouTube</a> | <a href="https://www.bilibili.com/video/BV1AK4y147xx/" target="_blank">BiliBili</a> )
[<div align=center><img width="568" height="320" src="https://openailab.oss-cn-shenzhen.aliyuncs.com/images/landmark_report.png"/></div>](https://youtu.be/bnyD3laX_bU)
<div align=center><img src="https://img.shields.io/youtube/views/bnyD3laX_bU?style=social"/></div>

# Have a try
- [Apk](Android/apk/TengineKitDemo-v1.0.3.apk) can be directly downloaded and installed on the phone to see the effect.

or

- scan code to download apk 

![Apk](https://www.pgyer.com/app/qrcode/A0uD?sign=&auSign=&code=)

# Goals
- Provide best performance in mobile client
- Provide the simplest API in mobile client
- Provide the smallest package  in mobile client

# Features
- face detection
- face landmarks
- face 3dlandmarks
- face attributes like age, gender, smile, glasses
- eye iris & landmarks
- hand detect(Real-time, not yet on Mobile)
- hand landmarks(Real-time, not yet on Mobile)
- body detect(Real-time, not yet on Mobile)
- body landamrks(Real-time, not yet on Mobile)

# Performance(face & landmark)

| CPU | Time consuming | Frame rate |
| :---: | :---: | :---: |
| Kirin 980 | 14ms | 71fps | 
| Qualcomm 855 | 15ms | 67fps |
| Kirin 970 | 17ms | 59fps |
| Qualcomm 835 | 18ms | 56fps |
| Kirin 710F| 19ms | 53fps |
| Qualcomm 439 | 26ms | 38fps |
| MediaTek Helio P60 | 27ms | 37fps |
| Qualcomm 450B | 28ms | 36fps |

# Landmark Points Order
[Landmark Points Order](docs/POINTORDER.md)