Comparing YOLOv8 on a Raspberry Pi 3, Raspberry Pi 4, and a Jetson Nano (CPU)

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Comparing a Raspberry Pi 3, Raspberry Pi 4, and a Jetson Nano (CPU)
  1. Kristen Kehrer
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Комментарии
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The exact video I was looking for appreciate you for taking the time to make this!

NazLouis
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Hi! I am actually having trouble using the yolov8 on a pi3. My code is the conventional one they suggest in their website, but it always "skips" everything inside the loop "for r in results". I suspect it's due to a segmentation error but it prints nothing! Also the same code runs on the pc perfectly. I see you managed to run the code on a pi3 - have you done something different other than the regular (import, model=YOLO("yolov8n.pt"), results = model("blala.jpg"), for results in r, boxes = r.boxes, for b in boxes)? Do you have the code you used?

noyalinder
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Sorry for asking, Im new comer, I wanna know does RAM matter? I want to buy Raspberry Pi 4 model B but Im not really sure which one I should buy, RAM 4, or, RAM 8

HappyEngineer
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could you share the fps on each and what classifier model were you using thanks!

jasonwee
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Is this low frame rate (FPS) due to having a low quality camera? Does this mean that the camera is capable of shooting below 30 frames per second, or does it just take a long time for the neural network on the Raspberry Pi to process the image?

WildlifeAnimalsful
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Hello, it's incredible. How did you load Pytorch on the Raspberry 3?
Do you have any reference link?
Thank you very much for sharing = )

tqevslz
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I am getting unable to get camera fps error on rpi 3

Can you help me with this please

hemasainelluri
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Is it Yolo v8 nano? Or medium? Or better?

Nummi
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no one would use cpu on jetson nano. you should comapre to the gpu performance

georgegu