microsoft / Microsoft-Rocket-Video-Analytics-Platform
A highly extensible software stack to empower everyone to build practical real-world live video analytics applications for object detection and counting with cutting edge machine learning algorithms.
☆220Updated 2 years ago
Alternatives and similar repositories for Microsoft-Rocket-Video-Analytics-Platform:
Users that are interested in Microsoft-Rocket-Video-Analytics-Platform are comparing it to the libraries listed below
- This is a sample showing how to do real-time video analytics with NVIDIA DeepStream connected to Azure via Azure IoT Edge. It uses a NVID…☆178Updated 3 years ago
- reference implementation to use ONNX Runtime with Azure IoT Edge☆62Updated 4 years ago
- Home of Intel(R) Deep Learning Streamer Pipeline Server (formerly Video Analytics Serving)☆126Updated last year
- A repository demonstrating an end-to-end architecture for Intelligent Video Analytics using NVIDIA hardware with Microsoft Azure☆151Updated 2 years ago
- The IntelligentEdgeHOL walks through the process of deploying an IoT Edge module to an Nvidia Jetson Nano device to allow for detection o…☆95Updated 10 months ago
- SAF: Streaming Analytics Framework☆29Updated 6 years ago
- Describes the full end to end smart parking application that is available with DeepStream 5.0☆345Updated 9 months ago
- An example of using DeepStream SDK for redaction☆209Updated 9 months ago
- Neuralet is an open-source platform for edge deep learning models on edge TPU, Jetson Nano, and more.☆241Updated 2 years ago
- FilterForward: Scaling Video Analytics on Constrained Edge Nodes☆28Updated 5 years ago
- The IntelligentEdgeHOL walks through the process of deploying an Azure IoT Edge module to an Nvidia Jetson Nano device to allow for detec…☆40Updated 10 months ago
- ☆232Updated 2 years ago
- Running CUDA containers on the Jetson platform☆140Updated 4 years ago
- Learn about the workflow using Intel® Distribution of OpenVINO™ toolkit to accelerate vision, automatic speech recognition, natural langu…☆303Updated 9 months ago
- Easily deploy models to FPGAs for ultra-low latency with Azure Machine Learning powered by Project Brainwave☆151Updated last year
- Vision AI Developer Kit Preview☆130Updated last year
- GitHub repo for Azure Video Analyzer☆32Updated 2 years ago
- Quickstart to deploy an Intelligent Video Analytics application running at the edge over multiple cameras and with custom AI models.☆47Updated 4 years ago
- Example program for connecting Azure IoT Edge with NVIDIA DeepStream☆24Updated last year
- This repository is a home to Intel® Deep Learning Streamer (Intel® DL Streamer) Pipeline Framework. Pipeline Framework is a streaming med…☆548Updated last week
- Sample showing how to deploy a AI model from the Custom Vision service to a Raspberry Pi 3 device using Azure IoT Edge☆185Updated last year
- AI Toolkit for Azure IoT Edge☆192Updated 2 years ago
- Dockerfiles and scripts for ONNX container images☆137Updated 2 years ago
- Multi-camera Network research resources☆83Updated 3 years ago
- Multi-container demo for Jetson Xavier NX and Jetson AGX Xavier☆194Updated 4 years ago
- A Portable C Library for Distributed CNN Inference on IoT Edge Clusters☆83Updated 5 years ago
- A curated list of awesome edge machine learning resources, including research papers, inference engines, challenges, books, meetups and o…☆261Updated 2 years ago
- deepstream 4.x samples to deploy TLT training models☆85Updated 5 years ago
- ☆16Updated 4 years ago
- This is a sample application for counting people entering/leaving in a building using NVIDIA Deepstream SDK, Transfer Learning Toolkit (T…☆229Updated last year