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- Analytics Microservice reads the detection metadata from redis and executes the enabled actions. The actions can be: move the camera to the detected object position in PTZ microservice and start an event recording in VST microservice.
- AI Agent Microservice allows natural communication between the user and other microservices. This service uses the Hugging Face LLM Trelis/Llama-2-7b-chat-hf-function-calling-v3 to convert text commands into API calls, process the LLM result, and call the corresponding API request.
- Detection Microservice detects in the input stream the target objects described in a text prompt. The microservice uses the NanoOwl generative AI model that allows open vocabulary detection. Meaning that the user can provide a list of objects that are not bound to any specific classes.
meta-ridgerun
Public- A GStreamer Deep Learning Inference Framework
sc_depth_pl
PublicSC-Depth (V1, V2, and V3) for Unsupervised Monocular Depth Estimation Webpage:https://jiawangbian.github.io/sc_depth_pl/gst-perf
Publicr2inference
Publicopencv_contrib
Public2D-Motion-Retargeting
Public