• Get openvino from https://docs.openvinotoolkit.org/
• Configure enviroment:

source path-to-unpacked-openvino/setupvars.sh

• Build G-API with OpenVINO support:

cmake /path-to-opencv -DWITH_INF_ENGINE=ON

NOTE: You may need to set INF_ENGINE_RELEASE to the proper version, depending on the package you use.

When you build G-API with OpenVINO Inference Engine support (-DInferenceEngine_DIR=... -DWITH_INF_ENGINE=ON), some extra tests for inference are enabled and require OPENCV_DNN_TEST_DATA_PATH to be set and models downloaded using the command below!

$ git clone https://github.com/openvinotoolkit/open_model_zoo.git
$ cd open_model_zoo/tools/model_tools
$ ./downloader.py -o /path/to/opencv_extra/testdata/dnn/omz_intel_models/ \
    --cache_dir /path/to/opencv_extra/testdata/dnn/.omz_cache/ \
    --name age-gender-recognition-retail-0013
$ export OPENCV_DNN_TEST_DATA_PATH=/path/to/opencv_extra/testdata/dnn

Note that the downloader.py script has the following dependencies:

pyyaml
requests