257 Forks
813 Stars
813 Watchers

Multi-Camera-Live-Object-Tracking

Multi-camera live traffic and object counting with YOLO v4, Deep SORT, and Flask.

How to download and setup Multi-Camera-Live-Object-Tracking

Open terminal and run command
git clone https://github.com/LeonLok/Multi-Camera-Live-Object-Tracking.git
git clone is used to create a copy or clone of Multi-Camera-Live-Object-Tracking repositories. You pass git clone a repository URL.
it supports a few different network protocols and corresponding URL formats.

Also you may download zip file with Multi-Camera-Live-Object-Tracking https://github.com/LeonLok/Multi-Camera-Live-Object-Tracking/archive/master.zip

Or simply clone Multi-Camera-Live-Object-Tracking with SSH
[email protected]:LeonLok/Multi-Camera-Live-Object-Tracking.git

If you have some problems with Multi-Camera-Live-Object-Tracking

You may open issue on Multi-Camera-Live-Object-Tracking support forum (system) here: https://github.com/LeonLok/Multi-Camera-Live-Object-Tracking/issues

Similar to Multi-Camera-Live-Object-Tracking repositories

Here you may see Multi-Camera-Live-Object-Tracking alternatives and analogs

 flask    CTFd    flask_jsondash    openFrameworks    openpose    opencv    caire    Is-Now-Illegal    gdbgui    uwsgi-nginx-flask-docker    trape    BossSensor    TagUI    javacv    faceai    opencv4nodejs    sistine    gocv    opencvsharp    trace.moe    bgslibrary    OpenSfM    object_detector_app    opentrack    FaceTracker    lbpcascade_animeface    OpenCV3-Intro-Book-Src    ChosunTruck    MMCamScanner    OpenCVForAndroid