My team and I are working on a graduation project involving Raspberry Pi, and we could use your expertise.
In our project, we plan to use the YOLO model for real-time object detection, trained with the COCO dataset. Both the dataset and the class information will be stored locally on the Raspberry Pi. Our main concern is whether the Raspberry Pi has sufficient processing power to handle the real-time demands of running the YOLO model with this dataset, or if we would need to explore optimizations or additional hardware.
We would greatly appreciate any insights or advice you could provide!
In our project, we plan to use the YOLO model for real-time object detection, trained with the COCO dataset. Both the dataset and the class information will be stored locally on the Raspberry Pi. Our main concern is whether the Raspberry Pi has sufficient processing power to handle the real-time demands of running the YOLO model with this dataset, or if we would need to explore optimizations or additional hardware.
We would greatly appreciate any insights or advice you could provide!
Statistics: Posted by Teeb saleh — Fri Oct 04, 2024 11:59 pm