Jul 01 2019 10:25 PM - edited Jul 02 2019 05:25 AM
Jul 01 2019 10:25 PM - edited Jul 02 2019 05:25 AM
I'm successfully running VisionAI dev kit camera with VisionSample module detecting approximately 183 objects. Now I want to deploy caffe squeezenet model, so I'm following this https://azure.github.io/Vision-AI-DevKit-Pages/docs/Deploy_Model_using_Module_Twin/ link,. I've uploaded model zip(with dlc,label and config.json) on my storage account and changed module's twin, updated "ModelZipUrl".
But, when seeing my device, it is running the same model I've deployed initially, no changes detected. What I'm doing wrong here?
Jul 03 2019 09:50 AM
@Deleted What firmware version are you running on the device?
Jul 05 2019 01:37 PM
Jul 10 2019 12:11 AM
@jkubicka Hi,
I got it working, I mean, I'm able to deploy pre-trained ML model on my VisionAI development kit by uploading my model files on azure blob storage.
Please find below details:
Scenario-1
Scenario-2
Now two things, I'm seeking answers for:
Thanks for reading!!!
Jul 10 2019 10:16 AM
@Deleted Scenario 1 is not ideal for user experience and is too manual which may leave room for error - for example; the device might be created as an IoT Device instead of an IoT Edge Device. Scenario 2 has the correct documentation to deploy a custom model with a quicker easier process.