The KTL tracker implemented for the WASP course
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.txt
Run 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.py
To run on a video:
python main.py data/coke_zero.mp4
MIT