Custom Image Classification Model with Intel Neural Compute Stick 2 on Raspberry Pi 4

[publio]

I have a Keras/Tensorflow .h5 model already trained that I would like to start running inference/classifying images using the Intel Neural Compute Stick 2 device on a Raspberry Pi 4. I am having trouble finding the right guides as most seem outdated, therefore it doesn't have a specific file or directory when I try to run inference. Additionally, the contents regarding IR conversion and inferencing are heavily scattered which makes it a challenge for me to understand. 

I'd like to kindly request a dummy step-by-step guide on how to convert a keras/tensorflow model to an IR representation where my model is a custom trained model from scratch and the layers are compatible with OpenVino format after checking, and also would like to know how to run a simple image classification example with the same model on Raspberry Pi 4 

[Wan_Intel]

Hi Publio,

Thanks for your question.

This thread will no longer be monitored since we have provided a solution and suggestions. 

If you need any additional information from Intel, please submit a new question.

Best regards,

Wan