rishabgit / social-distancing

Invigilating the streets, looking for signs of violation of sanitary methods during the deadly spread of the novel coronavirus.

WIP

Since CCTVs have the high ground ( ͡° ͜ʖ ͡°) simply comparing the distances between the centroids should tell us if people are social distancing or not.

To-do:

• Implement some object tracking method. Tracking multiple objects using KCF is VERY slow.
• Clean the code.
• Train a better model for this use-case.
  ... will add more when I think of them

File links:

yolov3.cfg - https://github.com/pjreddie/darknet/blob/master/cfg/yolov3.cfg  
yolov3.weights - https://pjreddie.com/media/files/yolov3.weights 
Tensorflow MobileNet-SSD v1 - http://download.tensorflow.org/models/object_detection/ssd_mobilenet_v1_coco_2017_11_17.tar.gz and https://github.com/opencv/opencv_extra/blob/master/testdata/dnn/ssd_mobilenet_v1_coco_2017_11_17.pbtxt