Caffe: a fast open framework for deep learning, iOS version
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Caffe.xcodeproj
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ios Separate leveldb for iOS and OS X Jun 30, 2015
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osx Separate leveldb for iOS and OS X Jun 30, 2015
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.travis.yml [travis] run pytest Jan 7, 2015
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caffe.cloc

README.md

I'm no longer maintaining this fork

Feel free to use it as a starting point but you are on your own. I've since switched to TensorFlow and BrainCore.


Caffe

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) and community contributors.

Check out the project site for all the details like

and step-by-step examples.

Join the chat at https://gitter.im/BVLC/caffe

Please join the caffe-users group or gitter chat to ask questions and talk about methods and models. Framework development discussions and thorough bug reports are collected on Issues.

Happy brewing!

iOS

This fork was modified to be compiled for iOS and OSX using Xcode. Here are some of the changes:

  • Added an Xcode project
  • Removed support for HDF5 and LMDB, only LevelDB is supported
  • Removed support for GPU mode, only CPU mode is supported
  • The project has no dependencies, all necessary libraries are included and scripts are provided to compile the latest version of each of the dependencies with iOS and OSX support

License and Citation

Caffe is released under the BSD 2-Clause 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}
}