opencv3.3.0 with deep learning
===
https://github.com/opencv/opencv/wiki/Deep-Learning-in-OpenCV

http://docs.opencv.org/3.3.0/

environment: lenovo x220 laptop
OS: ubuntu16.04.2

[build opencv-3.3.0 on raspberry pi3](https://hackmd.io/s/S1oIlawDb#)

### Install dependency

sudo apt-get update

Install dependency

sudo apt-get install build-essential cmake pkg-config libjpeg8-dev libtiff5-dev libjasper-dev libpng12-dev libavcodec-dev libavformat-dev libswscale-dev libv4l-dev libxvidcore-dev libx264-dev libgtk-3-dev libatlas-base-dev gfortran 

Install python3.5

sudo apt-get install python3.5-dev

### opencv-3.3.0 build from source

unzip opencv-3.3.0

cd opencv-3.3.0

mkdir build 

cd build

CMake will look for CMakeLists.txt and generate Makefile. CMake confoguration (now we are in build/)

cmake -D CMAKE_BUILD_TYPE=RELEASE \
    -D CMAKE_INSTALL_PREFIX=/usr/local \
    -D INSTALL_PYTHON_EXAMPLES=ON \
    -D INSTALL_C_EXAMPLES=OFF \
    -D PYTHON_EXECUTABLE=/usr/bin/python3.5 \
    -D BUILD_EXAMPLES=ON ..\
    -D WITH_IPP=ON ..

make -j4

sudo make install

>mostly we utilize pkg-config to compile openCV code

>configure OpenCV. open the opencv.conf file with the command

sudo gedit /etc/ld.so.conf.d/opencv.conf

>/usr/local/lib
This set the .so (dynamic link library) searching path.
it will search opencv___.so from the path
Remember we alread copy .so to /usr/local/lib when typing ***sudo make install*** in previous stage.


configure the library

sudo ldconfig

now, edit ~/.bashrc
this would auto load terminal environment for pkg-config

sudo vim ~/.bashrc

add at the bottom

PKG_CONFIG_PATH=$PKG_CONFIG_PATH:/usr/local/lib/pkgconfig
export PKG_CONFIG_PATH
export PYTHONPATH=/usr/local/bin/python3.5:$PYTHONPATH

then save it.

#### test
inside opencv-3.3.0/build/bin/
has executable dnn-...

for dl
you need to collect 3 file
*.cafffemodle*
*.prototxt*
*weight*

for caffe net(zoo)

for FCN object detection

caffenet
FCN object detection(people)

mobileNetSSD

./example_dnn-ssd_mobilenet_object_detection -video=/dev/video1 -model=MobileNetSSD_train.caffemodel -proto=MobileNetSSD_300x300.prototxt

and .zip file include executable and .caffemodel , proto.txt for someone would like to try it. size about 600MB
https://drive.google.com/file/d/0BwY-lpO6tzxHRHNCdlRKczIzaEU/view?usp=sharing

only contain caffemodel and proto
https://drive.google.com/file/d/0BwY-lpO6tzxHVUZqN1pXc0xZdDQ/view?usp=sharing

reference:
http://www.coldvision.io/2016/07/29/image-classification-deep-learning-cnn-caffe-opencv-3-x-cuda/

https://github.com/opencv/opencv_contrib/issues/830

https://github.com/opencv/opencv_contrib/issues/941

https://github.com/opencv/opencv/issues/9322
###### tags: `opencv3.3.0`