This project counts number of people coming in and going out of structures such as building, stores,etc. based on tripline crossing.
This project counts people coming in and going out of structures such as building, stores,etc. based on tripline crossing. The project uses yolo as object detetcion model.
$ git clone https://github.com/SmitSheth/People-Counter.git
$ cd darknet
# For using yolov2 download its weight
$ wget https://pjreddie.com/media/files/yolo.weights
# For using yolov3 download its weight
$ wget https://pjreddie.com/media/files/yolov3.weights
$ make
# Use yolov2
$ ./darknet detector demo cfg/coco.data cfg/yolov2.cfg yolo.weights <input-video-path> -prefix 0
# Use yolov3
$ ./darknet detector demo cfg/coco.data cfg/yolov3.cfg yolov3.weights <input-video-path> -prefix 0
@misc{darknet13,
author = {Joseph Redmon},
title = {Darknet: Open Source Neural Networks in C},
howpublished = {\url{http://pjreddie.com/darknet/}},
year = {2013--2016}
}