https://github.com/deepindeed2022/deephash

Based neural network hash method
https://github.com/deepindeed2022/deephash

hash image-retrieval scaleable

Last synced: 6 months ago
JSON representation

Based neural network hash method

• Host: GitHub
• URL: https://github.com/deepindeed2022/deephash
• Owner: deepindeed2022
• License: other
• Created: 2017-05-08T08:26:36.000Z (almost 9 years ago)
• Default Branch: master
• Last Pushed: 2017-05-08T08:50:09.000Z (almost 9 years ago)
• Last Synced: 2024-12-17T17:42:32.308Z (about 1 year ago)
• Topics: hash, image-retrieval, scaleable
• Language: C++
• Size: 8.16 MB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE

Awesome Lists containing this project

README

          
# 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 Berkeley AI Research ([BAIR](http://bair.berkeley.edu))/The Berkeley Vision and Learning Center (BVLC) 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/)

- [BAIR 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 BAIR/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}

    }