Vehicle Detection and Classification- final project

National Action Council for Minorities in Engineering(NACME) Google Applied Machine Learning Intensive (AMLI) at the UNIVERSITY OF ARKANSAS

Developed by:

• Trinity Colbert - UNIVERSITY OF ARKANSAS
• Giancarlos Cabrera - NYU
• Marvin Violantes - UNIVERSITY OF ARKANSAS

Description

This project will create a vehicle detection classification on an input video of your choice. Orignially designed for the University of Arkansas' campus, where the system can  detect the car type and car color that coincides with the car description on the car permit application. However we have provided code that can easily be modified to your needs.

Our project is about to analyze a

Usage instructions

1. Fork this repo
2. Follow this link to our modified API
3. Download the repo
4. Create a new folder in your Google Drive
5. Add both the repo and your desired input video into that new folder
6. Open the Main Code file
7. Mount your Google Drive to colab
8. Locate the folder your created in the file section on the left
9. Open the 'vehicle_detection_main.py' file
10. Modify line 45 to the name of your input video
11. Run all of the blocks of code
12. Open the output video file on the left
13. Enjoy your vehicle detection and classifier!!