2024-07-19 02:07 AM
My use case is about computer vision (yolo model preferably) and how to monitor its inference in order to have an idea of its carbon footprint when running on the chip. I heard that stm32-zoo has a yolo model available, so it is possible to use it on the chip (correct me if I am wrong :D).
Would you have any useful tips for such a case regarding the monitoring part? Is there a dedicated software available from ST?
Thanks in advance ST Community!
Solved! Go to Solution.
2024-07-23 04:28 AM
You have some sample application in the model zoo and you can also perform a validation on target using X-CUBE-AI in STM32CubeMX
The validation on target gives you directly the inference time and the required RAM and Flash
Regards
2024-07-23 04:28 AM
You have some sample application in the model zoo and you can also perform a validation on target using X-CUBE-AI in STM32CubeMX
The validation on target gives you directly the inference time and the required RAM and Flash
Regards
2024-07-24 03:26 AM
Thank you for your answer Daniel!