I had a working model from Edge Impulse, which I downloaded from the dashboard (INT8 quantized format). I then renamed it, compiled it using Vela, and deployed it to the Grove Vision AI V2 board. However, I’m encountering an error: “Invoke failed. Please check device connection.”
and I followed the alphabetical order for the model classes as required.
Also,
I attempted to create a classification model using the instructions provided in your documentation (Deploying models using datasets to groove vision AI v2). I followed every step closely, except that I used the dataset directly instead of using Roboflow.
The model trained successfully without any errors, but after deployment, it does not function as expected. For context, it is an MNIST digit classification model. However, the output I’m receiving after deployment is incorrect for example, I get constant result 8:99, which doesn’t make sense as I did not show it any digit to recognize.