acmiyaguchi/faster-rcnn-caffe-master.md

## faster-rcnn-caffe-master.md

      
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              faster-rcnn-caffe-master.md
            
          
    Instructions


install cuda-9.0 (https://developer.nvidia.com/cuda-toolkit-archive)
install cudnn-7 (https://developer.nvidia.com/cudnn)
install dependencies for caffe

see the caffe installation guide [1] and wiki page [2]


install boost-1.65 or higher (http://www.boost.org/users/history/version_1_65_1.html) [3]
update caffe-fast-rcnn

Easiest way is to use a rebased branch on BVLC/master. See the notes below if you would rather merge the changes yourself.

$ cd $FRCN_ROOT/caffe-fast-rcnn
$ git remote add acmiyaguchi https://github.com/acmiyaguchi/caffe-fast-rcnn.git
$ git checkout acmiyaguchi/faster-rcnn-rebased


optional: rebase against upstream master

$ git remote add caffe https://github.com/BVLC/caffe.git
$ git rebase caffe/master


set variables in Makefile.config

USE_CUDNN := 1
WITH_PYTHON_LAYER := 1
OPENCV_VERSION := 3
CUSTOM_CXX := g++-6

I symlink gcc-6 and g++-6 to gcc and g++ in /usr/local/cuda-9-0/bin/ instead of this setting, but either should work


remove compute_20 from CUDA_ARCH since it's been depreciated in cuda-9-0
add hdf5 for linking since it's been renamed in 17.10

INCLUDE_DIRS := $(PYTHON_INCLUDE) /usr/include/hdf5/serial/
LIBRARY_DIRS := $(PYTHON_LIB) /usr/lib/x86_64-linux-gnu/hdf5/serial/


build caffe

make -j${N_THREADS} all && make pycaffe


change self.param_str_ to self.param_str in $FRCN_ROOT/lib/rpn/proposal_layer.py.

see rebased-caffe.patch below for the full diff


validate that ./tools/demo.py works

Notes on Rebasing

BVLC/caffe and rbgirshick/caffe have diverged since this workaround [4] in March 2017. I've rebased the faster-rcnn patchset against the master caffe branch for convenience. [5]
This branch should merge cleanly into BVLC/caffe with the exception of the license.
If you rather merge the upstream changes yourself, the patch in [6] should outline the changes you need afterwards. -X theirs may not be the best merge policy. In particular, changes to the src/caffe/caffe.proto schema will overwrite the ROIPoolingParameter.
rebased-caffe.patch

diff --git a/lib/rpn/proposal_layer.py b/lib/rpn/proposal_layer.py
index b157160..e6d28cc 100644
--- a/lib/rpn/proposal_layer.py
+++ b/lib/rpn/proposal_layer.py
@@ -23,7 +23,7 @@ class ProposalLayer(caffe.Layer):
 
     def setup(self, bottom, top):
         # parse the layer parameter string, which must be valid YAML
-        layer_params = yaml.load(self.param_str_)
+        layer_params = yaml.load(self.param_str)
 
         self._feat_stride = layer_params['feat_stride']
         anchor_scales = layer_params.get('scales', (8, 16, 32))


[1] http://caffe.berkeleyvision.org/installation.html
[2] https://github.com/BVLC/caffe/wiki/Ubuntu-16.04-or-15.10-Installation-Guide
[3] ubuntu 17.10 currently ships with boost 1.62. This uses the macro __CUDACC_VER__ that was depreciated in cuda-9.0. The current distribution on the boost site fixes this. See the bug tracker for more details. https://svn.boost.org/trac10/ticket/13152
[4] this currently requires quite a bit of manual conflict resolution https://github.com/rbgirshick/py-faster-rcnn/issues/509?_pjax=%23js-repo-pjax-container#issuecomment-284133868]
[5] https://github.com/acmiyaguchi/caffe-fast-rcnn/commits/faster-rcnn-rebased
[6] https://github.com/acmiyaguchi/caffe-fast-rcnn/commit/d58e95906f1f1ba3557e3f46c57fa6a4a1361be2