Annotation false positive validation by Daksh Shah

This project has been tested using Python 3.10.12 and Ubuntu 22.04.

Visualize.py

To use this project, first edit the variables:

• image_dir with the path to the images directory
• GT_dir with the path to the ground truth labels directory
• HL_dir with the path to the predicted labels directory
• validated_dir with the path to the validated data directory

When running the project, it has only been implemented to work with specific image numbers and hasn't been tested with a larger series of files sequentially.

Note: The current version has only been tested to work on a specific file. Before running, edit line 133 so that image_name() has a parameter containing the image/file number you want to validate.

Dependencies:

• numpy
• opencv
• tkinter
• PIL