ultralytics / yolov5

YOLOv5 πŸš€ in PyTorch > ONNX > CoreML > TFLite
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Suggestion regarding depoyment on Raspberry Pi #3898

Closed rajchem closed 2 years ago

rajchem commented 3 years ago

❔Question

Hi, I am using yolov5 to perform real-time detection. I want to deploy the model on raspberry-pi 4. What should I choose

  1. Use the custom weights and clone repository in raspberry pi?
  2. Convert the pytorch weight into tflite model, then use it on pi?
  3. Or can I use pytorch hub on raspberry-pi?
    Thanks.
github-actions[bot] commented 3 years ago

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glenn-jocher commented 3 years ago

@rajchem for now we don't have an official export tutorial for Raspberry Pi but this is one of the categories in our YOLOv5 EXPORT competition so there should be some good solutions soon!

@batrlatom

soumendukrg commented 2 years ago

The default yolov5 models can be run in Raspberry Pi without any modification. However, reducing latency for real-time detection might need additional tweaks.

rajchem commented 2 years ago

Hi @soumendukrg can you please share what additional tweaks might needed.

github-actions[bot] commented 2 years ago

πŸ‘‹ Hello, this issue has been automatically marked as stale because it has not had recent activity. Please note it will be closed if no further activity occurs.

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