mkdir rknn-convert
cd rknn-convert

# Install converter PT to ONNX
git clone https://github.com/airockchip/ultralytics_yolov8
cd ultralytics_yolov8
sudo apt install python3.12-venv
python3 -m venv env
source env/bin/activate
pip install .
pip install onnx
cp ultralytics/cfg/default.yaml ultralytics/cfg/default_backup.yaml
sed -i -E "s/(model: ).+( #.+)/\1azaion.pt\2/" ultralytics/cfg/default.yaml
cd ..
deactivate

# Install converter ONNX to RKNN
wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O miniconda.sh
chmod +x miniconda.sh
bash miniconda.sh -b -p $HOME/miniconda

source ~/miniconda/bin/activate
conda create -n toolkit2 -y python=3.11
conda activate toolkit2
git clone https://github.com/rockchip-linux/rknn-toolkit2.git
cd rknn-toolkit2/rknn-toolkit2/packages
pip install -r requirements_cp311-1.6.0.txt
pip install rknn_toolkit2-1.6.0+81f21f4d-cp311-cp311-linux_x86_64.whl
pip install "numpy<2.0"
cd ../../../
git clone https://github.com/airockchip/rknn_model_zoo.git
conda deactivate
conda deactivate