Requirements

Installation

conda env create -f environment.yml
jupyter notebook

Download YOLO v3 weights and convert them to keras model using to instructions from: https://github.com/qqwweee/keras-yolo3

After you're done you should have file yolo.h5 in your model_data directory.

Name		Name	Last commit message	Last commit date
Latest commit History 22 Commits
.idea		.idea
TrafficCamera_Unwarp_Image		TrafficCamera_Unwarp_Image
font		font
model_data		model_data
yolo3		yolo3
.gitignore		.gitignore
CVTracker.py		CVTracker.py
DetectionAndTrackingCV.py		DetectionAndTrackingCV.py
DetectionAndTrackingIOU.py		DetectionAndTrackingIOU.py
First steps in traffic analysis - vehicle detection and simple tracking.pdf		First steps in traffic analysis - vehicle detection and simple tracking.pdf
IOUTracker.py		IOUTracker.py
LICENSE		LICENSE
README.md		README.md
TrafficCamera_DetectionAndTracking.ipynb		TrafficCamera_DetectionAndTracking.ipynb
TrafficCamera_DetectionAndTrackingIOU.ipynb		TrafficCamera_DetectionAndTrackingIOU.ipynb
TrafficCamera_Unwarp_Image.md		TrafficCamera_Unwarp_Image.md
common.py		common.py
detectionprovider.py		detectionprovider.py
environment.yml		environment.yml
video.py		video.py
yolo.py		yolo.py