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›Starting Microservices

Feature Demos

  • Starting Feature Demos
  • Person Detection

    • Head Detection Demo
    • Head Pose Demo
    • Human Skeleton Demo
    • Detection Filtering Demo

    Movement Detection

    • Tracking Demo
    • Pass Detection Demo

    Facial Properties and Recognition

    • Demography Demo
    • Face mask Demo
    • Single Camera Reidentification Demo with Pre-clustering
    • Reidentification Demo with Person Names

    Image and Video

    • Show Image Demo
    • Saving Video Streams

    Starting Microservices

    • Starting Multi-Graph Runner
    • Starting Tracker
    • Starting Pass Detector
    • Starting Reidentifier
    • Starting Detection Filter
    • Starting Feature Vector Clustering
    • Starting Stream Configurator UI
    • Starting Web Player
    • Starting Video Capture

Video Capture

Starting Video Capture

  1. Run the microservice:

    Attention! Before starting this microservice, the command below silently stops and removes the Docker container named uvap_vc, if such already exists.

    $ "${UVAP_HOME}"/scripts/run_vc.sh -- --net=uvap
    

    The output of the above command contains the following:

    • Information about pulling the required Docker image
    • The ID of the Docker container created
    • The name of the Docker container created: uvap_vc

    There are more optional parameters for the run_vc.sh script to override defaults. Use the --help parameter to get more details.

  2. Wait for approximately 30 seconds, then check if the containers are still running:

    $ docker container inspect --format '{{.State.Status}}' uvap_vc
    

    Expected output:

    running
    
  3. Check if the Kafka topics are created:

    $ docker exec kafka kafka-topics --list --zookeeper zookeeper:2181
    

    Expected output:

    base.cam.0.vc.Packet.upw
    base.cam.1.vc.Packet.upw
    
← Starting Web Player
  • Starting Video Capture
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