Allocate findface-video-worker to Camera Group

In a distributed architecture, it is often necessary that video streams from a group of cameras be processed in situ, without being redistributed across remote findface-video-worker instances by the principal server.

Note

Among typical use cases are hotel chains, chain stores, several security checkpoints in the same building, etc.

In this case, allocate the local findface-video-worker to the camera group.

Do the following:

1. Navigate to the Settings tab. Click Camera Groups.

2. Open the camera group settings.

3. In the Labels, create or select one or several allocation labels. Save changes.

There are two ways to specify allocation labels:

• by findface-video-worker.yaml configuration file

• by docker-compose.yaml configuration file

Note

Use the same name of labels in findface-video-worker and in the web-interface, otherwise cameras will not process.

Do the following:

1. Open the /opt/findface-multi/configs/findface-video-worker/findface-video-worker.yaml configuration file and specify the allocation labels in the dictionary format (labels MyLabel1, MyLabel2 in the example below).

   sudo vi /opt/findface-multi/configs/findface-video-worker/findface-video-worker.yaml
   
   labels: {"MyLabel1": "true", "MyLabel2": "true"}
   

2. Restart the findface-multi-findface-video-worker-1 container.

   sudo docker container restart findface-multi-findface-video-worker-1
   

As an alternative way, you can use the configuration of docker-compose.yaml file:

1. Open the /opt/findface-multi/docker-compose.yaml configuration file and specify the allocation labels in the findface-video-worker section by adding environment:

   sudo vi /opt/findface-multi/docker-compose.yaml
   
   ...
     findface-video-worker:
       command: [--config=/etc/findface-video-worker.yaml]
       depends_on: [findface-video-manager, findface-ntls, mongodb]
       environment:
         - CUDA_VISIBLE_DEVICES=0
         - CFG_LABELS=MyLabel1=true;MyLabel2=true
       image: docker.int.ntl/ntech/universe/video-worker-cpu:ffserver-9.230407.1
       logging: {driver: journald}
       network_mode: service:pause
      ...
   

2. Rebuild all FindFace Multi containers.

   cd /opt/findface-multi
   sudo docker-compose down
   sudo docker-compose up -d
   

Note

If a camera is assigned an allocation label, its video stream can be processed by a findface-video-worker instance with the same label, as well as by all unlabeled findface-video-worker instances.

Warning

If a labeled camera is processed by an unlabeled findface-video-worker instance and a free similar-labeled instance appears, the camera won’t automatically switch to the latter. Restart the similar-labeled camera.