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authorSergey Karayev <>2014-07-09 22:06:10 (GMT)
committerSergey Karayev <>2014-07-09 22:06:10 (GMT)
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[docs] got rid of redundant README, updated development instructions
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-[Caffe: Convolutional Architecture for Fast Feature Extraction](
+Caffe: Convolutional Architecture for Fast Feature Embedding
-Created by [Yangqing Jia](, UC Berkeley EECS department.
-In active development by the Berkeley Vision and Learning Center ([BVLC](
-## Introduction
-Caffe aims to provide computer vision scientists with a **clean, modifiable
-implementation** of state-of-the-art deep learning algorithms. Network structure
-is easily specified in separate config files, with no mess of hard-coded
-parameters in the code. Python and Matlab wrappers are provided.
-At the same time, Caffe fits industry needs, with blazing fast C++/Cuda code for
-GPU computation. Caffe is currently the fastest GPU CNN implementation publicly
-available, and is able to process more than **40 million images per day** on a
-single NVIDIA K40 GPU (or 20 million per day on a K20)\*.
-Caffe also provides **seamless switching between CPU and GPU**, which allows one
-to train models with fast GPUs and then deploy them on non-GPU clusters with one
-line of code: `Caffe::set_mode(Caffe::CPU)`.
-Even in CPU mode, computing predictions on an image takes only 20 ms when images
-are processed in batch mode.
-* [Caffe introductory presentation](
-* [Installation instructions](
-\* When measured with the [SuperVision]( model that won the ImageNet Large Scale Visual Recognition Challenge 2012.
-## License
-Caffe is BSD 2-Clause licensed (refer to the
-[LICENSE]( for details).
-The pretrained models published by the BVLC, such as the
-[Caffe reference ImageNet model](
-are licensed for academic research / non-commercial use only. However, Caffe is
-a full toolkit for model training, so start brewing your own Caffe model today!
-## Citing Caffe
-Please kindly cite Caffe in your publications if it helps your research:
- @misc{Jia13caffe,
- Author = {Yangqing Jia},
- Title = { {Caffe}: An Open Source Convolutional Architecture for Fast Feature Embedding},
- Year = {2013},
- Howpublished = {\url{}}
- }
-## Documentation
-Tutorials and general documentation are written in Markdown format in the `docs/` folder.
-While the format is quite easy to read directly, you may prefer to view the whole thing as a website.
-To do so, simply run `jekyll serve -s docs` and view the documentation website at `` (to get [jekyll](, you must have ruby and do `gem install jekyll`).
-We strive to provide provide lots of usage examples, and to document all code in docstrings.
-We'd appreciate your contribution to this effort!
-## Development
-Caffe is developed with active participation of the community by the [Berkeley Vision and Learning Center](
-We welcome all contributions!
-### The release cycle
-- The `dev` branch is for new development, including community contributions. We aim to keep it in a functional state, but large changes may occur and things may get broken every now and then. Use this if you want the "bleeding edge".
-- The `master` branch is handled by BVLC, which will integrate changes from `dev` on a roughly monthly schedule, giving it a release tag. Use this if you want more stability.
-### Setting priorities
-- Make GitHub Issues for bugs, features you'd like to see, questions, etc.
-- Development work is guided by [milestones](, which are sets of issues selected for concurrent release (integration from `dev` to `master`).
-- Please note that since the core developers are largely researchers, we may work on a feature in isolation from the open-source community for some time before releasing it, so as to claim honest academic contribution. We do release it as soon as a reasonable technical report may be written about the work, and we still aim to inform the community of ongoing development through Issues.
-### Contibuting
-- Do new development in [feature branches](!workflow-feature-branch) with descriptive names.
-- Bring your work up-to-date by [rebasing]( onto the latest `dev`. (Polish your changes by [interactive rebase](, if you'd like.)
-- [Pull request]( your contribution to BVLC/caffe's `dev` branch for discussion and review.
- * PRs should live fast, die young, and leave a beautiful merge. Pull request sooner than later so that discussion can guide development.
- * Code must be accompanied by documentation and tests at all times.
- * Only fast-forward merges will be accepted.
-See our [development guidelines]( for further details–the more closely these are followed, the sooner your work will be merged.
-#### [Shelhamer's]( “life of a branch in four acts”
-Make the `feature` branch off of the latest `bvlc/dev`
-git checkout dev
-git pull upstream dev
-git checkout -b feature
-# do your work, make commits
-Prepare to merge by rebasing your branch on the latest `bvlc/dev`
-# make sure dev is fresh
-git checkout dev
-git pull upstream dev
-# rebase your branch on the tip of dev
-git checkout feature
-git rebase dev
-Push your branch to pull request it into `dev`
-git push origin feature
-# ...make pull request to dev...
-Now make a pull request! You can do this from the command line (`git pull-request -b dev`) if you install [hub](
-The pull request of `feature` into `dev` will be a clean merge. Applause.
+Consult the [project website]( for all documentation.