Metropolis Microservices/RidgeRun Services/Detection: Difference between revisions

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{{Metropolis Microservices/Head|previous=RidgeRun Services/PTZ|next=RidgeRun Services/AI Agent|metakeywords=Metropolis|title=RidgeRun Detection Microservice|metadescription=This page provides a general overview of the PTZ RidgeRun Service}}
{{Metropolis Microservices/Head|previous=RidgeRun Services/PTZ|next=RidgeRun Services/AI Agent|metakeywords=Metropolis|title=RidgeRun Detection Microservice|metadescription=This page provides a general overview of the PTZ RidgeRun Service}}
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RidgeRun's Detection Microservice as its name indicates detects objects from an input stream. The target objects to detect are queried and described in a text prompt. The text queries will be given via API calls. And finally the service sent the detections over REDIS.
RidgeRun's Detection Microservice as its name indicates detects objects from an input stream. The target objects to detect are queried and described in a text prompt. The text queries will be given via API calls. And finally the service sent the detections over REDIS.


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docker run --runtime nvidia -it --network host --name detection-service  ridgerun/detection-service:latest detection --host 0.0.0.0
docker run --runtime nvidia -it --network host --name detection-service  ridgerun/detection-service:latest detection --host 0.0.0.0
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Here we are creating a container called detection that will start the detection application (check #Using Standalone Application), launching the server in port 5030 and start detecting persons from the first VST stream available.
Here we are creating a container called detection that will start the detection application (check [[Metropolis_Microservices/RidgeRun_Services/Detection#Using_Standalone_Application]]), launching the server in port 5030 and start detecting persons from the first VST stream available.