ECS709P Computer Vision

Author: Garrett Poell

Python Dependencies

• Python - 3.11.2
• OpenCV - 4.8.1.78 (4.8 latest)
• Matplotlib - 3.8.0
• Numpy (latest)

INSTRUCTIONS

Inside of the src/ directory are folders for each coursework task that contain a jupyternotebook called main.ipynb and a utils.py that contain all of the related functions for that task. The main.ipynb are the only files that need to be executed and you can run them from the top. The files will source the images and video from the data/ directory structure and the output (images and graphs) will be mapped to the corresponding output/ directories outlined below. All of the scripts should source images and videos from the given Datasets, but if you want to change them then you will need to update the lines of code near the top where the paths are declared.

1. Install dependencies (latest versions should all be fine)
2. Run the main.ipynb at the root directory level to create the folder structures
3. Copy in Datasets (DatasetA, DatasetB, DatasetC, etc..) from the coursework zip to the data/ directory
4. Run the main.ipynb for the given task (cw1, cw2, etc..)
5. Validate any output in the output/ directory

Coursework Instructions

Each coursework directory contains a README.md with a description of the task.

Folder Structure

data > DatasetA car-1.jpg car-2.jpg car-3.jpg face-1.jpg face-2.jpg face-3.jpg cw1_b.png DatasetB.avi DatasetC.avi DatasetC.mpg test.jpg output > cw1 > cw2 > cw3 > figures > video_out > cw4 > cw5 > frame_diff > video_out src > cw1 main.ipynb utils.py > cw2 main.ipynb utils.py > cw3 main.ipynb utils.py > cw4 main.ipynb utils.py > cw5 main.ipynb utils.py