Pinned Repositories
gst-inference
A GStreamer Deep Learning Inference Framework
gst-interpipe
GStreamer plug-in for interpipeline communication
gst-perf
GStreamer element to measure framerate, bitrate and CPU usage.
gst-shark
GstShark is a front-end for GStreamer traces
gstd
GStreamer Daemon is a GStreamer framework for controlling audio and video streaming using D-Bus messages
gstd-1.x
GStreamer Daemon is a GStreamer framework for controlling audio and video streaming using TCP messages. This version is based on GStreamer 1.x
gtc-2020-demo
RidgeRun demo presented at the GTC 2020 online conference
NVIDIA-Jetson-IMX477-RPIV3
NVIDIA Jetson IMX477 HQ RPI V3 camera driver
NVIDIA-Jetson-IMX708-RPIV3
NVIDIA Jetson IMX708 RPI V3 camera driver
r2inference
RidgeRun Inference Framework
RidgeRun Embedded Solutions's Repositories
RidgeRun/gstd-1.x
GStreamer Daemon is a GStreamer framework for controlling audio and video streaming using TCP messages. This version is based on GStreamer 1.x
RidgeRun/gst-interpipe
GStreamer plug-in for interpipeline communication
RidgeRun/gst-inference
A GStreamer Deep Learning Inference Framework
RidgeRun/NVIDIA-Jetson-IMX477-RPIV3
NVIDIA Jetson IMX477 HQ RPI V3 camera driver
RidgeRun/gst-shark
GstShark is a front-end for GStreamer traces
RidgeRun/gst-perf
GStreamer element to measure framerate, bitrate and CPU usage.
RidgeRun/r2inference
RidgeRun Inference Framework
RidgeRun/chromium-jetson-accelerated
RidgeRun/NVIDIA-Jetson-IMX708-RPIV3
NVIDIA Jetson IMX708 RPI V3 camera driver
RidgeRun/gst-crypto
RidgeRun/meta-ridgerun
RidgeRun yocto layer containing RidgeRun commonly used packages
RidgeRun/ai-agent-service
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.
RidgeRun/lightweight-human-pose-estimation-3d-demo.pytorch
Real-time 3D multi-person pose estimation demo in PyTorch. OpenVINO backend can be used for fast inference on CPU.
RidgeRun/opencv
Open Source Computer Vision Library
RidgeRun/openvx-training
OpenVX Training
RidgeRun/templates-meson-standard-gstreamer
Template for Meson based project to build a standard Gstreamer plug-in
RidgeRun/gst-plugin-ndi
GStreamer NDI Plugin for Linux
RidgeRun/opencv_contrib
Repository for OpenCV's extra modules
RidgeRun/2D-Motion-Retargeting
PyTorch implementation for our paper Learning Character-Agnostic Motion for Motion Retargeting in 2D, SIGGRAPH 2019
RidgeRun/analytics-service
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.
RidgeRun/arducam-imx708-nvidia-jetson-demo
RidgeRun/detection-service
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.
RidgeRun/libcudaisp-docs
RidgeRun/meta-tegra
BSP layer for NVIDIA Jetson platforms, based on L4T
RidgeRun/mmj_utils
A utility library to help integrate Python applications with Metropolis Microservices for Jetson
RidgeRun/ptz-service
PTZ Microservice allows you to navigate a 360-degree video through PTZ using RidgeRun's Spherical Video PTZ GStreamer elements
RidgeRun/rrms-utils
Set of utilities to work with RidgeRun Microservices
RidgeRun/sc_depth_pl
SC-Depth (V1, V2, and V3) for Unsupervised Monocular Depth Estimation Webpage:https://jiawangbian.github.io/sc_depth_pl/
RidgeRun/smart-seek-360
The SmartSeek360 searches for objects specified by the user in a 360-degree video stream, once the object is found the system follows it through the video leveraging the PTZ functions, and also triggers a video recording.
RidgeRun/ti-edge-ai-demos
Demos to show the powerful capabilities of TI Edge AI SDK on J7 platform