correct albumentation

try to make augmentation on GPU.
saved llm prompt

orangepi5/00 install-os.md

@@ -1,5 +0,0 @@
-1. Download latest release from here https://joshua-riek.github.io/ubuntu-rockchip-download/boards/orangepi-5.html
-   f.e. https://github.com/Joshua-Riek/ubuntu-rockchip/releases/download/v2.3.2/ubuntu-22.04-preinstalled-desktop-arm64-orangepi-5.img.xz
-   but look to the more recent version on ubuntu 22.04
-   
-2. Write the image to the microsd using https://bztsrc.gitlab.io/usbimager/ (sudo ./usbimager on linux) (or use BalenaEtcher)

orangepi5/convert-install.sh

@@ -1,36 +0,0 @@
-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
-
-sed -i -E "s#(DATASET_PATH = ').+(')#\1/azaion/data-sample/azaion_subset.txt\2 #" rknn_model_zoo/examples/yolov8/python/convert.py
-
-conda deactivate
-conda deactivate

orangepi5/convert.sh

@@ -1,19 +0,0 @@
-# PT to ONNX
-cd rknn-convert/ultralytics_yolov8/
-cp --verbose /azaion/models/azaion.pt .
-source env/bin/activate
-pip install onnx
-export PYTHONPATH=./
-python ./ultralytics/engine/exporter.py
-cp --verbose azaion.onnx ../
-cd ..
-deactivate
-cp --verbose azaion.onnx /azaion/models/
-
-#  ONNX to RKNN
-source ~/miniconda/bin/activate
-conda activate toolkit2
-cd rknn_model_zoo/examples/yolov8/python
-python convert.py ../../../../azaion.onnx rk3588 i8 /azaion/models/azaion.rknn
-conda deactivate
-conda deactivate