GitHub / michhar / yolov4-jetson-azure-edge-solution
Here resides an end-to-end sample of using an NVIDIA Jetson platform as an Azure IoT Edge device with Live Video Analytics Edge and Azure Blob Storage. An open-source ML model is utilized to detect objects in an RSTP stream simulator. A Python web app is included for reviewing AI detections from Blob Storage.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/michhar%2Fyolov4-jetson-azure-edge-solution
PURL: pkg:github/michhar/yolov4-jetson-azure-edge-solution
Stars: 6
Forks: 2
Open issues: 0
License: mit
Language: Python
Size: 2.64 MB
Dependencies parsed at: Pending
Created at: almost 5 years ago
Updated at: over 2 years ago
Pushed at: almost 5 years ago
Last synced at: over 2 years ago
Topics: azure-blob-storage, azure-iot-edge, azure-lva, jetson-xavier, tensorflow2, yolov4-tiny