Readme.RPi5.cpu.md

Raspberry Pi 5 OS (64bit)

Prerequisite

CMake is needed for tflite format later

sudo apt-get install cmake 

Create environment

conda create -n yolov8_cpu python=3.9
conda activate yolov8_cpu
pip install ultralytics==8.0.221
pip install tensorflow==2.13.1
pip install onnx==1.15.0 onnxruntime==1.16.3 onnxsim==0.4.33
pip install -U --force-reinstall flatbuffers==23.5.26

Installing tensorflow and onnx are required if you want to convert yolov8 model to tflite. I also had to upgrade flatbuffers for tflite export

Export yolov8n to tflite and onnx format

python export_models.py
python export_models.py --format onnx

Note, It seems like there is a bug when I export tflite and onnx at the same time. So for now export them separately.

Run

Set utf8 format for python if you are getting strange error with latin1 encoding

export PYTHONUTF8=1 

Run yolov8n.pt

• --debug option show debug window with annotation, good for debugging but slows down the fps
• --print_fps option prints fps every 1 sec.

python main.py --debug
python main.py --print_fps

Run exported models

python main.py --model=./models/yolov8n.onnx --debug
python main.py --model=./models/yolov8n_saved_model/yolov8n_integer_quant.tflite --debug