MirrorYuChen / mnn_example

alibaba MNN, mobilenet classifier, centerface detecter, ultraface detecter, pfld landmarker and zqlandmarker, mobilefacenet

mnn_example

alibaba MNN, mobilenet classifier, centerface detector, pfld landmarker and zqlandmarker, mobilefacenet

1.更新日志

时间	更新内容
20200621	1.remove the interface of GetImg;
20200320	1.fix bug in face aligner;
20200305	1.add ultraface and blending nms;
20200221	1.add mobilefacenet;
20200220	1.use template to reduce the reaptly code in NMS;
20200218	1.refacter the project;
20200217	1.add zwnet and face database;
20200216	1.refacter the project and add zqlandmarker;
20200215	1.add pfld landmarker and face aligner;
20200214	1.add centerface detector;
20200205	1.add object detection;
20200128	1.add image classification;

2.How to use?

• (1). convert model
• • classifier model comes from: https://github.com/tensorflow/models/tree/master/research/slim
• • object detection model comes from: https://github.com/C-Aniruddh/realtime_object_recognition

./MNNConvert -f TF --modelFile mobilenet_v1_1.0_224_frozen.pb --MNNModel mobilenet.mnn --bizCode MNN

./MNNConvert -f CAFFE --modelFile MobileNetSSD_deploy.caffemodel --prototxt MobileNetSSD_deploy.prototxt --MNNModel mobilenetssd.mnn --bizCode MNN

• (2). build

mkdir build && cd build && make -j3 &&  cd src && ./classifier && ./object && ./face

• (3). result classifier result: object result: face detection result:

3. TODO:

• add pose

4. reference:

MNN: https://github.com/alibaba/MNN

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

MNN_APPLICATION: https://github.com/xindongzhang/MNN-APPLICATIONS

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

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

ultraface: https://github.com/Linzaer/Ultra-Light-Fast-Generic-Face-Detector-1MB

seetaface2: https://github.com/seetafaceengine/SeetaFace2

csdn blog: https://blog.csdn.net/abcd740181246/article/details/90143848