Invalid links in "azure_protocol_adaptor/module_client/README" file

Please provide complete information as applicable to your setup.

• Hardware Platform (Jetson / GPU)
Jetson
• DeepStream Version
6.0
• JetPack Version (valid for Jetson only)
4.6
• TensorRT Version
8.0.1
• NVIDIA GPU Driver Version (valid for GPU only)
• Issue Type( questions, new requirements, bugs)
Documentation issue
• How to reproduce the issue ? (This is for bugs. Including which sample app is using, the configuration files content, the command line used and other details for reproducing)
• Requirement details( This is for new requirement. Including the module name-for which plugin or for which sample application, the function description)

The links in /opt/nvidia/deepstream/deepstream-6.0/sources/libs/azure_protocol_adaptor/module_client/README are invalid.

The second link …

#Register a new Azure IoT Edge device from the Azure portal:
 https://docs.microsoft.com/en-us/azure/iot-edge/how-to-register-device-portal

Leads you to 404 - Page not found

The last link

#For Jetson:
 Install the Azure Iot Edge from the instructions provided here: https://aka.ms/install-iot-edge-arm64

Incorrectly routs you to Create and provision an IoT Edge device on Linux using symmetric keys which I believe, leads you to install the incorrect version of IoT Edge.

Is there correct documentation available for setup on arm64?? I was about to try the following… Create your own vision alerting system with IoT Edge, Azure Custom Vision and a Jetson Nano but wanted to check here first…

Thanks,
Robert.

1 Like

Thanks a lot! WIll check and get back to you next week since NVIDIA company will have holiday Thur & Friday this week.

Hi @rjhowell44 ,
Please use https://docs.microsoft.com/en-us/azure/iot-edge/how-to-provision-single-device-linux-symmetric?view=iotedge-2020-11&tabs=azure-portal%2Cubuntu . we will update the doc with this link in next release.

Thanks for reporting this issue!

@mchi thanks for getting back to me… I was finally able to get my own examples working after much trial and error… and I wrote up the complete process for my users here deepstream-services-library/proto-lib-azure.md at master · prominenceai/deepstream-services-library · GitHub

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