cp -r /opt/intel/openvino/deployment_tools/open_model_zoo/demos/python_demos/face_recognition_demo .
cd face_recognition_demo/

mkdir models
cd models
curl https://download.01.org/opencv/2019/open_model_zoo/R3/20190905_163000_models_bin/face-detection-retail-0004/FP16/face-detection-retail-0004.\{xml,bin\} -O
curl https://download.01.org/opencv/2019/open_model_zoo/R3/20190905_163000_models_bin/landmarks-regression-retail-0009/FP16/landmarks-regression-retail-0009.\{xml,bin\} -O
curl https://download.01.org/opencv/2019/open_model_zoo/R3/20190905_163000_models_bin/face-reidentification-retail-0095/FP16/face-reidentification-retail-0095.\{xml,bin\} -O
cd ..

pip install scipy

#!/bin/bash

cmd="face_recognition_demo.py"

opt="       -m_fd models/face-detection-retail-0004.xml"
opt="${opt} -m_lm models/landmarks-regression-retail-0009.xml"
opt="${opt} -m_reid models/face-reidentification-retail-0095.xml"

if [ `uname -m` == "armv7l" ] ; then
    echo "Raspberry Pi"
    opt="${opt} -d_fd MYRIAD"
    opt="${opt} -d_lm MYRIAD"
    opt="${opt} -d_reid MYRIAD"
else
    echo "Ubuntu"
    opt="${opt} --cpu_lib /opt/intel/openvino/deployment_tools/inference_engine/lib/intel64/libcpu_extension_avx2.so"
fi


if [ $# -eq 0 -o $# -eq 1 ]; then
	# パラメータなし/1個はエラー
    echo -e "\n==== usage ===="
    echo -e "$0 database_dir input_file [other option(s)]\n\n\n"
    exit 1
else
    opt="${opt} -fg ${1} --input ${2}"
    # 3番目以降すべてのパラメータを追加
    opt="${opt} ${@:3:($#-2)}"
fi
echo "python ${cmd} ${opt}"
python ${cmd} ${opt}

./demo.sh data data/video.mp4  --output result.mp4

python face_recognition_demo.py -h
usage: face_recognition_demo.py [-h] [-i PATH] [-o PATH] [--no_show] [-tl]
                                [-cw CROP_WIDTH] [-ch CROP_HEIGHT] -fg PATH
                                [--run_detector] [--run_detector_no_save]
                                -m_fd PATH -m_lm PATH -m_reid PATH
                                [-d_fd {CPU,GPU,FPGA,MYRIAD,HETERO,HDDL}]
                                [-d_lm {CPU,GPU,FPGA,MYRIAD,HETERO,HDDL}]
                                [-d_reid {CPU,GPU,FPGA,MYRIAD,HETERO,HDDL}]
                                [-l PATH] [-c PATH] [-v] [-pc] [-t_fd [0..1]]
                                [-t_id [0..1]] [-exp_r_fd NUMBER]
                                [--allow_grow]

optional arguments:
  -h, --help            show this help message and exit

General:
  -i PATH, --input PATH
                        (optional) Path to the input video ('0' for the
                        camera, default)
  -o PATH, --output PATH
                        (optional) Path to save the output video to
  --no_show             (optional) Do not display output
  -tl, --timelapse      (optional) Auto-pause after each frame
  -cw CROP_WIDTH, --crop_width CROP_WIDTH
                        (optional) Crop the input stream to this width
                        (default: no crop). Both -cw and -ch parameters should
                        be specified to use crop.
  -ch CROP_HEIGHT, --crop_height CROP_HEIGHT
                        (optional) Crop the input stream to this height
                        (default: no crop). Both -cw and -ch parameters should
                        be specified to use crop.

Faces database:
  -fg PATH              Path to the face images directory
  --run_detector        (optional) Use Face Detection model to find faces on
                        the face images, otherwise use full images.
  --run_detector_no_save
                        (optional) Use Face Detection model to find faces on
                        the face images, otherwise use full images. not save
                        detected face image.

Models:
  -m_fd PATH            Path to the Face Detection model XML file
  -m_lm PATH            Path to the Facial Landmarks Regression model XML file
  -m_reid PATH          Path to the Face Reidentification model XML file

Inference options:
  -d_fd {CPU,GPU,FPGA,MYRIAD,HETERO,HDDL}
                        (optional) Target device for the Face Detection model
                        (default: CPU)
  -d_lm {CPU,GPU,FPGA,MYRIAD,HETERO,HDDL}
                        (optional) Target device for the Facial Landmarks
                        Regression model (default: CPU)
  -d_reid {CPU,GPU,FPGA,MYRIAD,HETERO,HDDL}
                        (optional) Target device for the Face Reidentification
                        model (default: CPU)
  -l PATH, --cpu_lib PATH
                        (optional) For MKLDNN (CPU)-targeted custom layers, if
                        any. Path to a shared library with custom layers
                        implementations
  -c PATH, --gpu_lib PATH
                        (optional) For clDNN (GPU)-targeted custom layers, if
                        any. Path to the XML file with descriptions of the
                        kernels
  -v, --verbose         (optional) Be more verbose
  -pc, --perf_stats     (optional) Output detailed per-layer performance stats
  -t_fd [0..1]          (optional) Probability threshold for face
                        detections(default: 0.6)
  -t_id [0..1]          (optional) Cosine distance threshold between two
                        vectors for face identification (default: 0.3)
  -exp_r_fd NUMBER      (optional) Scaling ratio for bboxes passed to face
                        recognition (default: 1.15)
  --allow_grow          (optional) Allow to grow faces gallery and to dump on
                        disk. Available only if --no_show option is off.