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https://github.com/MirrorYuChen/ncnn_example

ncnn example: mask detection: anticonv face detection: retinaface&&mtcnn&&centerface, track: iou tracking, landmark: zqcnn, recognize: mobilefacenet classifier: mobilenet object detecter: mobilenetssd
https://github.com/MirrorYuChen/ncnn_example

classifier facealigner facedetection facelandmark facerecognition ncnn objectdetection zqlandmark

Last synced: 3 months ago
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Host: GitHub
URL: https://github.com/MirrorYuChen/ncnn_example
Owner: MirrorYuChen
License: mit
Created: 2019-04-25T01:53:37.000Z (about 5 years ago)
Default Branch: master
Last Pushed: 2022-06-22T04:17:13.000Z (about 2 years ago)
Last Synced: 2024-01-16T05:32:23.088Z (5 months ago)
Topics: classifier, facealigner, facedetection, facelandmark, facerecognition, ncnn, objectdetection, zqlandmark
Language: C++
Homepage:
Size: 56.8 MB
Stars: 453
Watchers: 28
Forks: 135
Open Issues: 3
Metadata Files:
- Readme: README.md
- License: LICENSE

Lists

awesome-ncnn - ncnn_example by MirrorYuChen
awesome-lists - ncnn example

README

        # **ncnn_example:**

# **I promise i'll update this project forever!**

# **1.更新日志**

时间 | 更新内容

--|--

20210612 | 1.update the ncnn lib to 20210525

20201024 | 1.add retinaface keypoints;2.add visual studio scripts

20200806 | 1.add insightface 106 [landmarks](!https://github.com/deepinsight/insightface/tree/master/alignment/coordinateReg);2.optimize the CMakeLists.txt

20200310 | 1.add mask detect code; 2.optimize the name of retinaface;3.update ncnn lib version to newest:  [20200226](!https://github.com/Tencent/ncnn/tree/20200226)

20200223 | 1. add vulkan option;2. fix the network name of mobilenetssd 

20200222 | 1. split the model files from the project;2. add classifier && add object detecter ;

# **2.How to use?**

 - (1). download the models from baiduyun: [baidu](https://pan.baidu.com/s/15wg10Ry6-5a2wa5MIJbNww)(code: w48b) and [google](https://drive.google.com/drive/folders/1kZ96ehstrlDMIH5HF8NHYYkD40yttxmd?usp=sharing)

 - (2). put models to directory: ncnn_example/data/models 

 - (3). replace ncnn lib compiled on your system

 - (4). compile the project:

```

>> cd ncnn_example && mkdir build && cd build && make -j3 

```

 - (5). run the project:

```

>> cd src && ./face && ./object && ./classifier

```

 - (6). result

 - face result:

![图片](https://github.com/MirrorYuChen/ncnn_example/blob/master/data/images/result.jpg)

 - mask result:

![图片](https://github.com/MirrorYuChen/ncnn_example/blob/master/data/images/mask_result.jpg)

 - object result:

![图片](https://github.com/MirrorYuChen/ncnn_example/blob/master/data/images/object_result.jpg)

 - classifier result:

![图片](https://github.com/MirrorYuChen/ncnn_example/blob/master/data/images/classify_result.jpg)

# **3. TODO:**

- [x] add yolo

- [x] add pose

- [x] refactor the project

# *4. references*

## https://github.com/Tencent/ncnn

## https://github.com/zuoqing1988/ZQCNN

## https://github.com/Charrin/RetinaFace-Cpp

## https://github.com/deepinsight/insightface

## https://github.com/Star-Clouds/centerface

## https://github.com/seetafaceengine/SeetaFace2