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Originally cloned from puzzledqs's mpi-parallel version. This version uses MPI to enable multi-GPU processing. Also includes some useful scripts for the paper "A Large-Scale Car Dataset for Fine-Grained Categorization and Verification", CVPR 2015. Check "models/finetune_web_car" for details.
Branch: multigpu
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CMakeScripts stage minor change Oct 7, 2014
data [example] image classification web demo Jul 12, 2014
docs Merge branch 'master' into mpi_parallel Oct 10, 2014
examples Modify data_layer/image_data_layer/convert_imageset to accpet multi-d… Jun 15, 2015
include/caffe added weighted euclidean loss layer Oct 23, 2015
log_analyzer Modify window_data_layer for 10 crops of each image with different la… Mar 22, 2015
matlab stage minor change Oct 7, 2014
models add classification class list Jul 21, 2017
python stage minor change Oct 7, 2014
scripts [model zoo] download from gist grooming Sep 19, 2014
src
tools Modify some tool python files Jun 26, 2015
.Doxyfile stage minor change Oct 7, 2014
.exrc Modify window_data_layer for 10 crops of each image with different la… Mar 22, 2015
.gitignore merge sqiu before Oct 13, 2014
.travis.yml stage minor change Oct 7, 2014
CMakeLists.txt stage minor change Oct 7, 2014
CONTRIBUTORS.md stage minor change Oct 7, 2014
INSTALL.md stage minor change Oct 7, 2014
LICENSE stage minor change Oct 7, 2014
Makefile Changed Makefile to incorporate MPI settings Oct 9, 2014
Makefile.config.example Changed Makefile to incorporate MPI settings Oct 9, 2014
README.md stage minor change Oct 7, 2014
caffe.cloc stage minor change Oct 7, 2014

README.md

Caffe

Caffe is a deep learning framework developed with cleanliness, readability, and speed in mind.
Consult the project website for all documentation.

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