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