This Project was created on 14/08/2021 and README file was created on 25/11/2021.
Traffic Analysis - Flow/Density
This project makes use of computer vision techniques based on open CV2 and Yolo-V3 to identify, track and analyse traffic data from a traffic camera video stream. The original source code was gotten from pyimagesearch and modified to suit the specific needs of the application area.
The program takes in a traffic feed, iterates through the frames, and generates a live feed showing the tracked vehicles and traffic analysis information
The libraries adopted in this project are
numpy argparse imutils time cv2 os dlib pandas as pd matplotlib.pyplot as plt
The files used for the project are; CentroidTracker.py TrackableObject.py TrackableObject2.py TrackableObject3.py TrackableObject4.py Yolo-coco Folder
Credit to pyimagesearch.com, defltstack.com, w3schools.com, pandas.pydata.org.
To use this project, download a trained data set and include in a folder named yolo-coco. The folder used is to large to upload to git