Wrong anomaly score after training dataset for the visual anomaly detection FOMO-AD

Help
#1

I am using using RPI4 to perform application of visual anomaly detection using CSI camera of RPI. Despite of training the large dataset using visual anomaly detection FOMO-AD model getting wrong results when I am running the python script.

#2

Hello @piyushlehekar first of all welcome to the Edge Impulse community!

I have some questions for you:

  • Could you please share more details of your project?
  • Did you collect the images to train your model with the RPI CSI camera?
  • What type of wrong results do you get running the python script?
  • What python script?

Thanks