34759 Perception for Autonomous Systems - Final Project
Add the raw images in the raw_data folder, and rectified data in the rec_data folder.
python3.11 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txtcamera_calib.ipynb, to compute the camera calibration matrices, mainly written by Lkjaersgaardload.py, to properly load the data, mainly written by Seb-sti1depth.py, to compute the disparity/depth associated to the stereo images, mainly written by Seb-sti1viz.py, visualize the data (images, pcd...), mainly written by Seb-sti1detect.py,viz_yolo.py, compare the result of the YOLO with the truth, mainly written by nandortakacstrain.py, train the YOLO model, mainly written by nandortakacsobject_detection.py, try several clustering algorithm to detect relevant objects, mainly written by Seb-sti1kalman_filter_z.pyandkalman_filter_2d.py, kalman filter implementation, mainly written by nandortakacsmain.py, use the implemented functions in the other files to test to solve the whole problem, mainly written by Seb-sti1