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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

Starting Detection Filter

Starts filtering the detections in the input topic.

Prerequisites

Each detection filter instance requires one ObjectDetectionRecord topic specified in the configuration.

For information on the Detection Filter configuration, see Configuring the Detection Filter.

Starting the Detection Filter service

To start Detections Filter run the following command:

$ "${UVAP_HOME}"/scripts/run_kafka_detection_filter.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_kafka_detection_filter

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

  1. Check if the uvap_kafka_detection_filter container is running:

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

    Expected output:

    running
    

    Note: If the status of the UVAP container is not running, send the output of the following command to support@ultinous.com:

    $ docker logs uvap_kafka_detection_filter
    

    These Docker containers can be managed with standard Docker commands. For more information, see docker (base command) in docker docs.

  2. Check if the output topic was created:

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

    Expected output contains the following:

    [TOPIC NAME].ObjectDetectionRecord.json
    
  3. Fetch data from the Kafka topic:

    $ docker exec kafka kafka-console-consumer \
      --bootstrap-server kafka:9092 \
      --topic [TOPIC NAME].ObjectDetectionRecord.json
    

The ObjectDetectionRecord output topic is created.

← Starting ReidentifierStarting Feature Vector Clustering →
  • Prerequisites
  • Starting the Detection Filter service
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