Hello, My team is working on an object recognition solution, using the BeagleBone AI.
We are currently trying to deploy an AWS Sagemaker object recognition model in BeagleBone AI, using some of the reduction tools for embedded systems that they offer. When we tested the model on the BeagleBone AI, we had poor performance (similar to the performance we get on the BeagleBone Black). If any of you know how to implement an AWS Sagemaker model on BeagleBone AI, ensuring maximum performance, please help us, we are in a hurry. Thanks a lot. Best regards. -- For more options, visit http://beagleboard.org/discuss --- You received this message because you are subscribed to the Google Groups "BeagleBoard" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To view this discussion on the web visit https://groups.google.com/d/msgid/beagleboard/b4528b3c-d5f9-4750-9abb-4691bfa9bcc3o%40googlegroups.com.
