fadwaalazzo / people-counter Goto Github PK

This is investigation prototype of application, which main goal is to count number of people that enter and leave some area

Started 28.08.2018

Create a local virtual python environment

pip3 install virtualenv

virtualenv -p python3 python-env

source python-env/bin/activate

Install the dependencies for the project

pip install -r requirements.txt

For windows anaconda can be used to ease installation

.
├── classes.py
├── people_counter.py                       people counting algorithm
├── pl.py                                   statistic visualisation
├── streaming                               streaming ivestigation
│   ├── Stream.py
│   ├── ffserver.py
├── tracking                                centroid tracking algorithm
│   ├── centroidtracker.py
│   ├── trackableobject.py
│   └── Tracking.py
├── README.md   
├── mobilenet_ssd                           Caffe deep learning model files
│   ├── MobileNetSSD_deploy.caffemodel
│   └── MobileNetSSD_deploy.prototxt             
├── requirements.txt                        dependencies
└── start.py                                app entry point

• get frame
  • every n frame:
    • convert the frame to a blob and pass the blob through the network and obtain the detections
    • loop over detections and filter out weak and useless detections
    • construct a dlib rectangle object and then start the dlib correlation tracker. Add the tracker to our list of trackers
  • else:
    • update the tracker and grab the updated position
    • use the centroid tracker to associate the (1) old object centroids with (2) the newly computed object centroids
  • loop over the tracked objects:
    • check to see if a trackable object exists for the current object ID. Create if there is no existing trackable object
    • otherwise determine utilize it to determine direction and count
  • draw

 python start.py