Deploy pre-trained ML model on VisionAI Dev Kit

Question

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?

jkubicka · Answer

Deleted&nbsp;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.