This module is developed from 「IoT Edge module extensions to be used with Azure Video Analyzer」 repository to be able to run on IoT Edge.

While running the IoT Edge module, you can use in conjunction with Azure Video Analyzer. It can be used as an inferencing server for gRPC extension node in Azure Video Analyzer Edge. The performance of the YOLOv3 model inferencing server depends on CPU or GPU power.

This module can be used with the Azure cloud native application WeDX Flow to simplify module management.

Minimum hardware requirements:

YOLOv3 gRPC-CPU Extension : Linux x64 and arm64 OS, 2GB of RAM, 1.5GB of storage
YOLOv3 gRPC-GPU Extension : Linux x64(CUDA >= 11.4) and arm64(JetPack >= 4.4) OS, 3GB of RAM, 3GB of storage

Features

Inferencing server for AVA gRPC extension node
Video stream of inference results - http://{IoT Edge Device IP}/stream
gRPC Server Address - tcp://{Module Name}:8151
Support shared memory

Direct methods

Not available

Environment variables

Not available

Desired properties

Stream Video of inference results (default:true)
- "ViewVideoStream": true / false
Debug Output File results (default:false)
- "DebugOutputFile": true / false

AVA(Azure Video Analyzer) Integration

Pipeline Topology sample (GrpcExtension)
- "url": "tcp://{Module Name}:8151"
- "mode": "pad"
- "width": "416"
- "height": "416"
- "@type": "#Microsoft.VideoAnalyzer.ImageFormatJpeg"

Inference results

http://{IoT Edge Device IP}/stream
- Viewing the output video with inferencing overlays in a browser

RTSP Publishing for Android App

YOLOv3 gRPC Extension for AVA Edgemotojin.com, Inc.

YOLOv3 gRPC Extension for AVA Edge

motojin.com, Inc.

YOLOv3 gRPC Extension for AVA Edge

motojin.com, Inc.

YOLOv3 gRPC Extension for AVA Edge
motojin.com, Inc.