Head position is the core to analyze human behavior and attention and plays a very important role in interpersonal communication. Head pose estimation refers to the computer through the input image or video sequence analysis, prediction, determine the human head in the three-dimensional space. This solution can use in the driver monitoring system and can estimate the driver’s inattention.
To run the application in this tutorial, the OpenVINO™ toolkit and its dependencies must already be installed and verified using the included demos. Installation instructions may be found at: https://software.intel.com/en-us/articles/OpenVINO-Install-Linux or https://github.com/udacity/nd131-openvino-fundamentals-project-starter/blob/master/linux-setup.md
The below steps are tested on Ubuntu 16.04:
# Install OpenVino wget http://registrationcenter-download.intel.com/akdlm/irc_nas/16057/l_openvino_toolkit_p_2019.3.376.tgz tar -xvf l_openvino_toolkit_p_2019.3.376.tgz cd l_openvino_toolkit_p_2019.3.376 sed -i 's/decline/accept/g' silent.cfg sudo ./install.sh -s silent.cfg # Install Nodejs and its dependencies curl -sSL https://deb.nodesource.com/gpgkey/nodesource.gpg.key | sudo apt-key add - VERSION=node_6.x DISTRO="$(lsb_release -s -c)" echo "deb https://deb.nodesource.com/$VERSION $DISTRO main" | sudo tee /etc/apt/sources.list.d/nodesource.list echo "deb-src https://deb.nodesource.com/$VERSION $DISTRO main" | sudo tee -a /etc/apt/sources.list.d/nodesource.list sudo apt-get update sudo apt-get install nodejs # System dep sudo apt update sudo apt-get install python3-pip pip3 install numpy pip3 install paho-mqtt sudo apt install libzmq3-dev libkrb5-dev sudo apt install ffmpeg sudo apt-get install cmake # Create a virtual env python3.5 -m venv openvino_p3 source openvino_p3/bin/activate pip3 install dlib paho-mqtt fysom imutils # Project dep # To-do: Create a requirements.txt for project specfic pip3 install1. Clone the repository at desired location:
https://github.com/nullbyte91/head-pose-estimation.git2. Configure the build environment for the OpenCV toolkit by sourcing the "setupvars.sh" script.
source /opt/intel/openvino/bin/setupvars.sh -pyver 3.53. Change to the top git repository:
cd head-pose-estimation # Download models bash scripts/download_models.sh # Inference python3 main.py -i resource/test_0.mp4 -m_fd mo_model/intel/face-detection-adas-binary-0001/FP32-INT1/face-detection-adas-binary-0001.xml -m_hp mo_model/intel/head-pose-estimation-adas-0001/FP32/head-pose-estimation-adas-0001.xml