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AI Society

Facial Recognition Design Project

Installation

Virtual Environment

It is recommended to create a python virtualenv to manage dependencies before running to make sure packages from different projects do not interfere with each other. You can install virtualenv via

pip3 install virtualenv

To build a virtualenv in your current project directory run

python3 -m virtualenv env

To start the virtual environment, run the following command:

source env/bin/activate

Requirements

Install dependencies by running pip3 install -r requirements.txt

Settings

A settings.yaml file must be included in the same directory as main.py before running the script. An example template is as follows:

IP: <INSERT_CAMERA_IP_HERE>
WEIGHT_DIRECTORY: <INSERT_DIRECTORY_HERE>
FRAME_PREVIEW: OFF 

Running

After editing the settings.yaml file with your webcam IP and weight directory, simply run python3 main.py and ensure your ip camera is properly streaming.

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A design project for real time facial recognition

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