Image-radar bounding box processor

A collection of tools used to track and error-correct image bounding boxes generated by YOLOv4 algorithm, calculate camera-radar plane conversion matrix, convert camera bounding box to radar bounding box.

A set of more 'relaxed' version of environment dependencies is supplied to help with comptability on different systems.

This repository is in active development and things might change/break before they are finalized.

Overview of data processing

1. Perform bounding box tracking using image_tracking
2. Manually find common points in radar and camera dataset (using the tracked boudning box data and visualization.py tool)
3. Calculate camera-radar conversion matrix using the tools found in cr_transform (requires MATLAB)
4. Export the transformation matrix to radar_bbox_from_img
5. Use imag_to_radar_2.py to convert camera bbox to radar bbox with 2D matched filter (In-progress)
6. Output radar label (Upcoming)