Pinned Repositories
pipeline-server
Home of Intel(R) Deep Learning Streamer Pipeline Server (formerly Video Analytics Serving)
Ad-Insertion-Sample
The ad-insertion reference pipeline shows how to integrate various media building blocks, with analytics powered by the OpenVINO™ Toolkit, for intelligent server-side ad insertion.
Dockerfiles
Optimized media, analytics and graphics software stack images. Use the dockerfile(s) in your project or as a recipe book for bare metal installation.
FFmpeg-patch
This repository contains a collection of FFmpeg* patches and samples to enable CNN model based video analytics capabilities (such as object detection, classification, recognition) in FFmpeg* framework.
gst-video-analytics
This repository contains a collection of GStreamer* elements to enable CNN model based video analytics capabilities (such as object detection, classification, recognition) in GStreamer* framework.
intel-gva-ov-for-ase
Intel GVA+OV for Azure Stack Edge
open-inference-protocol
Repository for open inference protocol specification
open_model_zoo
Pre-trained Deep Learning models and samples (high quality and extremely fast)
ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
server
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
nnshah1's Repositories
nnshah1/Ad-Insertion-Sample
The ad-insertion reference pipeline shows how to integrate various media building blocks, with analytics powered by the OpenVINO™ Toolkit, for intelligent server-side ad insertion.
nnshah1/Dockerfiles
Optimized media, analytics and graphics software stack images. Use the dockerfile(s) in your project or as a recipe book for bare metal installation.
nnshah1/FFmpeg-patch
This repository contains a collection of FFmpeg* patches and samples to enable CNN model based video analytics capabilities (such as object detection, classification, recognition) in FFmpeg* framework.
nnshah1/gst-video-analytics
This repository contains a collection of GStreamer* elements to enable CNN model based video analytics capabilities (such as object detection, classification, recognition) in GStreamer* framework.
nnshah1/intel-gva-ov-for-ase
Intel GVA+OV for Azure Stack Edge
nnshah1/open-inference-protocol
Repository for open inference protocol specification
nnshah1/open_model_zoo
Pre-trained Deep Learning models and samples (high quality and extremely fast)
nnshah1/ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
nnshah1/rtsf-at-checkout-reference-design
nnshah1/Smart-City-Sample
The smart city reference pipeline shows how to integrate various media building blocks, with analytics powered by the OpenVINO™ Toolkit, to accelerate your converged media pipeline. This is a smart city planning sample (not a finished product) that can be referenced by developers to ease application development challenges.
nnshah1/tritonserver-tutorials
This repository contains tutorials and examples for Triton Inference Server