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YoloV8 for a bare Raspberry Pi 4 or 5

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I've tried these two methods to get the ncnn model: - The python yolov8 method: ```python from ultralytics import YOLO import ncnn model=YOLO('yolov8n.pt') model.train(data="data.yaml", epochs=100, batch=8) path = model.export(format="ncnn") ```...

Hello, may I ask if you have encountered the situation that training cannot be done after modifying block.py and head.py? The model exported after modification can indeed be used, but...

Good afternoon. how to import a trained model for ncnn correctly? I tried: ``` !yolo mode=export model={HOME}/runs/detect/train/weights/best.pt format=onnx !python -m onnxsim {HOME}/runs/detect/train/weights/best.onnx {HOME}/runs/detect/train/weights/best-sim.onnx ``` and `onnx2ncnn best-sim.onnx best.param best.bin` I...

I want to improve FPS on Raspberry PI. Does it make sense to look into 16 or 8 bit quantization? Would be possible to run it with this code?

question

did any one tired yolo v8 on rp 3b+ ??

Is it possible to run yolov8 segmentation using this?. Will segmentation run on raspberry pi 4.

Hi NCNN python examples has only up to python5s, are you able to release a python script using this model, I tried to convert the cpp script but the output...

Hello author, should I choose Debian Bookworm or Debian Bullseye?

I changed the.param. bin and category to their own "defective" error