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.gitignore
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# data for training
data/MSCOCO/
data/VOC2012_SEG_AUG/
data/imagesets/
data/imagesets.tar.gz
data/VOC2012_SEG_AUG.tar.gz
data/MSCOCO.tar.gz
# models
models/attentionNet.caffemodel
models/classificationNet.caffemodel
models/classificationNet.prototxt
models/pretrainedCNN.caffemodel
models/transferNet.caffemodel
# inference
inference/ext/densecrf/
inference/results/
# training
training/1_train_attention/snapshot
training/1_train_attention/training_log
training/1_train_attention/data
training/1_train_attention/caffe
training/1_train_attention/pretrainedCNN.caffemodel
training/2_train_segmentation/snapshot
training/2_train_segmentation/training_log
training/2_train_segmentation/data
training/2_train_segmentation/caffe
training/2_train_segmentation/attentionNet.caffemodel
######################## caffe
## General
## Compiled Object files
*.slo
*.lo
*.o
*.cuo
## Compiled Dynamic libraries
*.so
*.dylib
## Compiled Static libraries
*.lai
*.la
*.a
## Compiled protocol buffers
*.pb.h
*.pb.cc
*_pb2.py
## Compiled python
*.pyc
## Compiled MATLAB
*.mex*
## IPython notebook checkpoints
.ipynb_checkpoints
## Editor temporaries
*.swp
*~
## Sublime Text settings
*.sublime-workspace
*.sublime-project
## Eclipse Project settings
*.*project
.settings
## QtCreator files
*.user
## PyCharm files
.idea
## OSX dir files
.DS_Store
### Caffe
## User's build configuration
Makefile.config
## Data and models are either
## 1. reference, and not casually committed
## 2. custom, and live on their own unless they're deliberated contributed
caffe/data/*
caffe/models/*
*.caffemodel
*.caffemodel.h5
*.solverstate
*.solverstate.h5
*.binaryproto
*leveldb
*lmdb
## build, distribute, and bins (+ python proto bindings)
caffe/build
caffe/.build_debug/*
caffe/.build_release/*
caffe/distribute/*
*.testbin
*.bin
caffe/python/caffe/proto/
caffe/cmake_build
.cmake_build
## Generated documentation
caffe/docs/_site
caffe/docs/gathered
_site
doxygen
docs/dev
## LevelDB files
*.sst
*.ldb
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