Jetson TX1 install pyfasterrcnn

Install py-faster-rcnn following the official version 

https://github.com/rbgirshick/py-faster-rcnn

 

• Build the Cython modules

cd $FRCN_ROOT/lib
make

 

Errors:

Traceback (most recent call last):
  File "setup.py", line 58, in <module>
  CUDA = locate_cuda()
  File "setup.py", line 55, in locate_cuda
  raise EnvironmentError('The CUDA %s path could not be located in %s' % (k, v))
EnvironmentError: The CUDA lib path could not be located in /usr/local/cuda-8.0/lib

 

Reason: the cuda path is not correct in ./lib/setup.py

Solver: 

gedit 打开 setup.py

cudaconfig = {'home':home, 'nvcc':nvcc,
                  'include': pjoin(home, 'include'),
                  'lib': pjoin(home, 'lib')}

把上面的最后一个lib改为lib64即可   

cudaconfig = {'home':home, 'nvcc':nvcc,
                  'include': pjoin(home, 'include'),
                  'lib': pjoin(home, 'lib64')}

 

• Build Caffe and pycaffe

cd $FRCN_ROOT/caffe-fast-rcnn
# Now follow the Caffe installation instructions here:
#   http://caffe.berkeleyvision.org/installation.html

# If you're experienced with Caffe and have all of the requirements installed
# and your Makefile.config in place, then simply do:
make -j8 && make pycaffe

 

Errors:

learning@learning-virtual-machine:~/caffe$ make all
PROTOC src/caffe/proto/caffe.proto
CXX .build_release/src/caffe/proto/caffe.pb.cc
CXX src/caffe/data_transformer.cpp
CXX src/caffe/common.cpp
CXX src/caffe/internal_thread.cpp
CXX src/caffe/blob.cpp
CXX src/caffe/data_reader.cpp
CXX src/caffe/parallel.cpp
CXX src/caffe/util/hdf5.cpp
In file included from src/caffe/util/hdf5.cpp:1:0:
./include/caffe/util/hdf5.hpp:6:18: fatal error: hdf5.h: No such file or directory
compilation terminated.
Makefile:572: recipe for target '.build_release/src/caffe/util/hdf5.o' failed
make: *** [.build_release/src/caffe/util/hdf5.o] Error 1
learning@learning-virtual-machine:~/caffe$ 

 

Solver:

Makefile.config
INCLUDE_DIRS
/usr/include/hdf5/serial/
Makefile
LIBRARIES
hdf5_hl and hdf5 改为 hdf5_serial_hl ，hdf5_serial

 

 

• Demo

 

cd $FRCN_ROOT
./tools/demo.py

Errors:

Loaded network /home/ubuntu/Projects/py-faster-rcnn/data/faster_rcnn_models/VGG16_faster_rcnn_final.caffemodel
Killed

 

Reason:

The vgg16 model is too large

Solver:

Change to zf model

 

• Results:

 

Loaded network /home/ubuntu/Projects/py-faster-rcnn/data/faster_rcnn_models/ZF_faster_rcnn_final.caffemodel
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Demo for data/demo/000456.jpg
Detection took 0.530s for 300 object proposals
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Demo for data/demo/000542.jpg
Detection took 0.722s for 135 object proposals
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Demo for data/demo/001150.jpg
Detection took 0.643s for 231 object proposals
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Demo for data/demo/001763.jpg
Detection took 0.764s for 200 object proposals
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Demo for data/demo/004545.jpg
Detection took 0.661s for 300 object proposals