Object-detection-caffe

Steps to build Caffe-SSD for object detection:

Step 1:

Note: Please make sure that you have Ubuntu 16.04 as the OS environment before running this module

• Check that you have gcc version 6 or greater which is supported by caffe. Please follow the steps mentioned over here to install gcc-6.

• Install all dependencies:

  $ sudo add-apt-repository ppa:lkoppel/opencv
  $ sudo apt-get update
  $ sudo apt install libopencv-calib3d3.2 libopencv-core3.2 libopencv-features2d3.2  libopencv-flann3.2 libopencv-highgui3.2 libopencv-imgcodecs3.2 libopencv-imgproc3.2 libopencv-ml3.2 libopencv-objdetect3.2 libopencv-photo3.2 libopencv-shape3.2 libopencv-stitching3.2 libopencv-superres3.2 libopencv-video3.2 libopencv-videoio3.2 libopencv-videostab3.2 libopencv-viz3.2 libopencv3.2-jni libopencv3.2-java libopencv-contrib3.2
  $ sudo apt install libopencv-calib3d-dev libopencv-core-dev libopencv-features2d-dev  libopencv-flann-dev libopencv-highgui-dev libopencv-imgcodecs-dev libopencv-imgproc-dev libopencv-ml-dev libopencv-objdetect-dev libopencv-photo-dev libopencv-shape-dev libopencv-stitching-dev libopencv-superres-dev libopencv-video-dev libopencv-videoio-dev libopencv-videostab-dev libopencv-viz-dev libopencv-contrib-dev libopencv-dev
  $ sudo apt-get install libopencv-dev python3-opencv
  $ sudo apt-get install libopenblas-dev
  $ sudo apt-get install libboost-all-dev
  $ sudo apt install python3-pip
  $ pip3 install protobuf==3.11.3
  $ sudo apt-get install libleveldb-dev libsnappy-dev libopencv-dev libhdf5-serial-dev
  $ sudo apt-get install python3-dev python-dev
  $ sudo apt-get install libgflags-dev libgoogle-glog-dev liblmdb-dev

• Build boost library from source.

  $ wget https://dl.bintray.com/boostorg/release/1.66.0/source/boost_1_66_0.tar.gz
  $ tar xzvf boost_1_66_0.tar.gz
  $ cd boost_1_66_0/
  $ sudo apt-get update
  $ sudo apt-get install build-essential autotools-dev libicu-dev libbz2-dev
  $ ./bootstrap.sh --prefix=/usr/local/
  $ ./b2 -j8 variant=release link=shared threading=multi runtime-link=shared
  $ sudo ./b2 -j8 install

• Build protobuf library from source.Download protobuf-all-version-3.11.4.tar.gz from here, extract file and build it using below commands.

  $ sudo apt-get install autoconf automake libtool curl make g++ unzip cpio
  cd protobuf-3.11.4
  ./configure
  make
  make check
  sudo make install
  sudo ldconfig

  Step 2:

• For ssdlite I have used python 2.7, because python 3 had issues. Ubuntu’s deafult python would do the task or make sure you have python 2.7 on your system.

  git clone https://github.com/xyfer17/ssd-caffe.git
  cd ssd-caffe

• Follow the below command to build the ssd-caffe

  make all
  make test
  make runtest
  make pycaffe

  Inference process

• clone this repository using the below command

  $ git clone https://github.com/xyfer17/Object-detection-caffe.git
  $ cd Object-detection-caffe/src

• Follow this step to add your image file which you want to test using the detection model.

• open inference.cpp file using your text-editor and the search the below code inside it.

  cv::Mat cv_img = cv::imread("img/3.jpg")

• replace img/3.jpg to your image file path .

• After this follow these command for execution process

  $ g++ -o app inference.cpp   -I /****/ssd-caffe/include/ -I /***/ssd-caffe/.build_release/src/  `pkg-config --libs --cflags opencv` -L /****/ssd-caffe/build/lib/ -lcaffe -lglog -lboost_system -lprotobuf -DCPU_ONLY=1

  $ export LD_LIBRARY_PATH=/path-to/ssd-caffe/build/lib/:$LD_LIBRARY_PATH
  $ export LD_LIBRARY_PATH=/path-to/boost_1_66_0/stage/lib/:$LD_LIBRARY_PATH
  $ ./app