Hi everyone,
I am using the new Raspberry Pi AI Camera connected to a Raspberry Pi 5.
I successfully deployed a custom YOLO object detection model on the camera, but now I would like to send images stored on my PC directly to the processor inside the IMX500 for benchmarking purposes. Specifically, I want to evaluate the model's accuracy and performance.
Additionally, I need to retrieve the inference times for the network deployed on the chip.
Is there a way to achieve this?
Thank you for your support!
Best regards,
G
I am using the new Raspberry Pi AI Camera connected to a Raspberry Pi 5.
I successfully deployed a custom YOLO object detection model on the camera, but now I would like to send images stored on my PC directly to the processor inside the IMX500 for benchmarking purposes. Specifically, I want to evaluate the model's accuracy and performance.
Additionally, I need to retrieve the inference times for the network deployed on the chip.
Is there a way to achieve this?
Thank you for your support!
Best regards,
G
Statistics: Posted by gr8_ — Wed Nov 20, 2024 2:31 pm — Replies 0 — Views 16