This project is Faster-rcnn detector C++ version demo, if you want to learn more about Faster-rcnn, please click https://github.com/rbgirshick/py-faster-rcnn.

Before using this demo, you need to install the py-faster-rcnn code and compile lib and caffe.Now let's assume that you have installed and compiled caffe and lib in py-faster-rcnn, and the main folder for py-faster-rcnn is assumed to be $ FASTER-RCNN.

1 Clone the project repository

cd $FASTER_RCNN
git clone https://github.com/QiangXie/libfaster_rcnn_cpp

2 Rename gpu_nms.so

Without this step, the compiler will report that the gpu_nms.so file could not be found.

cd $FASTER-RCNN/libfaster_rcnn_cpp
mkdir lib
cp $FASTER-RCNN/lib/nms/gpu_nms.so  $FASTER-RCNN/libfaster_rcnn_cpp/lib/libgpu_nms.so

3 Build this project

You must make sure that all dependent libraries have the correct path. You can check src/main/CmakeLists.txt and src/util/CmakeLists.txt to confirm that.Then

mkdir build
cd build
cmake ..
make

4 Set the python module path

The detector uses caffe's Python layer and some related Python programs, so you must ensure the following two paths have been written to your .zshrc or .bashrc:

export PYTHONPATH=$PYTHONPATH:/home/xieqiang/Documents/Code/Detection/py-faster-rcnn-master/lib
export PYTHONPATH=$PYTHONPATH:/home/xieqiang/Documents/Code/Detection/py-faster-rcnn-master/caffe-fast-rcnn/python

5 Run the program

cd bin
./main

This program will detect test1.jpg in bin folder, and print the detected vehicle bounding box, then rectangle bounding box and saved as test.jpg. If you need modify this project to do more, see main.cpp.

That's all!