https://github.com/DaFuCoding/MTCNN_Caffe

Simple implementation of kpzhang93's paper from Matlab to c++, and don't change models.
https://github.com/DaFuCoding/MTCNN_Caffe

caffe mtcnn

Last synced: 18 days ago
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Simple implementation of kpzhang93's paper from Matlab to c++, and don't change models.

• Host: GitHub
• URL: https://github.com/DaFuCoding/MTCNN_Caffe
• Owner: DaFuCoding
• License: other
• Created: 2016-10-24T13:30:44.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2017-04-11T03:29:32.000Z (about 7 years ago)
• Last Synced: 2024-02-26T22:39:33.268Z (4 months ago)
• Topics: caffe, mtcnn
• Language: C++
• Homepage:
• Size: 9.71 MB
• Stars: 242
• Watchers: 20
• Forks: 135
• Open Issues: 7
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE

Lists

• Awesome-Caffe - MTCNN_face_detection_alignment

README

        
# MTCNN_Caffe

## Introduce

This original project is [MTCNN](https://github.com/kpzhang93/MTCNN_face_detection_alignment). I transform this project from Matlab API to Caffe(C++) API。

## Run

* Install caffe

* compile example/MTSrc/MTMain.cpp

* MTMain.bin [model dir] [image Path]

[e.g.: ./build/examples/MTSrc/MTMain.bin '/home/dafu/workspace/MTCNN_Caffe/examples/MTmodel' '/home/dafu/workspace/MTCNN_Caffe/examples/MTSrc/test2.jpg']

## Modify

I add a MemoryData input layer in prototxt file(R-net and O-net) so that to set dynamically batch size. This modify can add speed and  take full advantage of GPU resources.

=======

# Caffe

[![Build Status](https://travis-ci.org/BVLC/caffe.svg?branch=master)](https://travis-ci.org/BVLC/caffe)

[![License](https://img.shields.io/badge/license-BSD-blue.svg)](LICENSE)

Caffe is a deep learning framework made with expression, speed, and modularity in mind.

It is developed by the Berkeley Vision and Learning Center ([BVLC](http://bvlc.eecs.berkeley.edu)) and community contributors.

Check out the [project site](http://caffe.berkeleyvision.org) for all the details like

- [DIY Deep Learning for Vision with Caffe](https://docs.google.com/presentation/d/1UeKXVgRvvxg9OUdh_UiC5G71UMscNPlvArsWER41PsU/edit#slide=id.p)

- [Tutorial Documentation](http://caffe.berkeleyvision.org/tutorial/)

- [BVLC reference models](http://caffe.berkeleyvision.org/model_zoo.html) and the [community model zoo](https://github.com/BVLC/caffe/wiki/Model-Zoo)

- [Installation instructions](http://caffe.berkeleyvision.org/installation.html)

and step-by-step examples.

[![Join the chat at https://gitter.im/BVLC/caffe](https://badges.gitter.im/Join%20Chat.svg)](https://gitter.im/BVLC/caffe?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)

Please join the [caffe-users group](https://groups.google.com/forum/#!forum/caffe-users) or [gitter chat](https://gitter.im/BVLC/caffe) to ask questions and talk about methods and models.

Framework development discussions and thorough bug reports are collected on [Issues](https://github.com/BVLC/caffe/issues).

Happy brewing!

## License and Citation

Caffe is released under the [BSD 2-Clause license](https://github.com/BVLC/caffe/blob/master/LICENSE).

The BVLC reference models are released for unrestricted use.

Please cite Caffe in your publications if it helps your research:

    @article{jia2014caffe,

      Author = {Jia, Yangqing and Shelhamer, Evan and Donahue, Jeff and Karayev, Sergey and Long, Jonathan and Girshick, Ross and Guadarrama, Sergio and Darrell, Trevor},

      Journal = {arXiv preprint arXiv:1408.5093},

      Title = {Caffe: Convolutional Architecture for Fast Feature Embedding},

      Year = {2014}

    }