Head Pose Estimation

Table of Contents

• 1. Introduction
• 2. Architecture Block Diagram
• 3. Prerequisites
• 4. Build
• 5. Output

1. Introduction

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.

2. Architecture Block Diagram

3. Prerequisites

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 install

4. Build

1. Clone the repository at desired location:

https://github.com/nullbyte91/head-pose-estimation.git

2. Configure the build environment for the OpenCV toolkit by sourcing the "setupvars.sh" script.

source /opt/intel/openvino/bin/setupvars.sh -pyver 3.5

3. 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

5. Output