A collection of Dev Container Features managed by Dev Container spec maintainers. Seehttps://github.com/devcontainers/feature-starter to publish your own

GstShark is a front-end for GStreamer traces

Set of utilities to work with RidgeRun Microservices

NVIDIA Jetson IMX708 RPI V3 camera driver

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.

PTZ Microservice allows you to navigate a 360-degree video through PTZ using RidgeRun's Spherical Video PTZ GStreamer elements

GStreamer Daemon is a GStreamer framework for controlling audio and video streaming using TCP messages. This version is based on GStreamer 1.x