raspberry-pitensorflow-liteyoloraspberry-pi4yolov4

Raspberry Pi 4 (8 GB) with YOLOV4/YOLOV4-TINY using Tensorflow-lite?


What is the best way to run YOLOV4/YOLOV4-TINY on RPI 4 using Tensorflow-lite for object detection? I want to detect/count the no. of people in the room using this followed by detection of items like chair, banana e.t.c?

As far as I know these libraries have MIT license and can be used for educational/commercial purposes, is that correct?

Also, what works better on Rpi 4 with tensorflow lite, is it YOLOv4 or YOLOv4 Tiny or something else?

Thank you.


Solution

  • I haven't tried by myself, but YOLOV4-TINY has a weight size around 16-24MB, that's similar to MobileNet float. I think that might be a better fit for small devices like RPi4. Could you give it a try and let us know if it works? :)

    As far as I know these libraries have MIT license and can be used for educational/commercial purposes, is that correct?

    TensorFlow and TensorFlow Lite are under Apache License. You can certainly use it for educational and commercial purposes.