An implementation of the KTL tracker for the WASP course.
The details of algorithm is describe in the notebook
Install requirements (optionally into a virtual env):
pip install -r requirements.txtRun python main.py -h for help.
usage: main.py [-h] [--custom] [source]
KTL Tracker
positional arguments:
source The source, defaults to webcame, else filepath to a video.
optional arguments:
-h, --help show this help message and exit
--custom use my custom KTL implementation.
To run using the webcam:
python main.pyTo run on a video:
python main.py data/coke_zero.mp4MIT