lunzueta / opencv-python-inference-engine

Wrapper package for OpenCV with Inference Engine python bindings.

opencv-python-inference-engine

It is Unofficial pre-built OpenCV+dldt_module package for Python.

Why: There is a guy with an exellent pre-built set of OpenCV packages, but they are all came without dldt module.

• Package comes without contrib modules.
• It was tested on Ubuntu 18.04, Ubuntu 18.10 as Windows 10 Subsystem and Gentoo.
• I had not made a builds for Windows or MacOS.
• It is 64 bit.
• It built with ffmpeg and v4l support.
• It compiled with TBB lib selected as threading lib, so you will need to install it (libtbb-dev on Ubuntu).
• No GTK/QT support -- use matplotlib for plotting your results.

For additional info read cv2.getBuildInformation() output.

Installing from pip3

You will need a glibc-2.27(thus it will work for Ubuntu >=18.04) and libtbb2 to run it.

Also it was built with ffmpeg-4.1.3 support.

Remove previously installed versions of cv2

sudo apt-get install libtbb2
pip3 install opencv-python-inference-engine

Compiling from source

Requirements

https://github.com/opencv/dldt/blob/2018/inference-engine/README.md

https://docs.opencv.org/4.0.0/d7/d9f/tutorial_linux_install.html

libtbb-dev

It tested and working with OpenCV-4.1.0 with dldt-2019_R1.

Preparing

1. Download releases of dldt, opencv and ffmpeg (or clone their repos)

2. Unpack archives to dldt,opencv and ffmpeg folders.

3. You'll need to get 3rd party ade code for dldt of certain commit (as in original dldt repo):

cd dldt/inference-engine/thirdparty/ade
git clone https://github.com/opencv/ade/ ./
git reset --hard 562e301

4. Next, we will need a python3 virtual environment with numpy:

virtualenv --clear --always-copy -p /usr/bin/python3 ./venv
./venv/bin/pip3 install numpy

Compilation

$ABS_PORTION is a absolute path to opencv-python-inference-engine dir.

export ABS_PORTION=YOUR_ABSOLUTE_PATH_TO_opencv-python-inference-engine_dir

cd build/ffmpeg
bash ./ffmpeg_setup.sh
make -j8

cd build/dldt
# if you do not want to buld all IE tests --
# comment L:142 in `dldt/inference-engine/CMakeLists.txt`
# <https://github.com/opencv/dldt/pull/139>
bash ./dldt_setup.sh
make -j8

cd ../opencv
bash ./opencv_setup.sh
make -j8

Wheel creation

# get all compiled libs together
cp build/opencv/lib/python3/cv2.cpython-36m-x86_64-linux-gnu.so create_wheel/cv2/

cp dldt/inference-engine/bin/intel64/Release/lib/*.so create_wheel/cv2/

# change RPATH
chrpath -r '$ORIGIN' create_wheel/cv2/cv2.cpython-36m-x86_64-linux-gnu.so 

# final .whl will be in /create_wheel/dist/
cd create_wheel
python3 setup.py bdist_wheel