NOT A FINISHED PROJECT

python main.py --create -c LorcanaCard --verbose python main.py --retrain -v 2024.08.09.00.44.25 -c LorcanaCard --verbose

TRAINING A MODEL:

cd .r

Packages to Install

NOTE: first activate the venv so that you are installing the packages there and not the host machine

DEPRECIATED: pip install scikit-learn opencv-python keras numpy pandas Pillow requests tensorflow matplotlib tensorflow_probability tensorrt tensorflow-probability[tf]
pip install tensorflow[and-cuda] numpy pandas requests Pillow scikit-learn keras-tuner opencv-python

Virtual Environment

Making a Virtual Environment (venv) for python

if the .venv is already made, then you don't have to do this again

python3 -m venv .venv

Activation

you must do this before installing or running anything

you must also be in the scope of the directory with ./.venv

# windows
.venv\Scripts\activate
# unix
source .venv/bin/activate

Deactivation

you must have first activated the .venv

deactivate

Testing A Folder of Cards

GPU usage

https://www.tensorflow.org/install/pip#linux_setup

other stupid tensorflow and NVIDIA caca and weewee

sudo echo 0 | sudo tee -a /sys/bus/pci/devices/0000:01:00.0/numa_node

CUDA cuDNN and TensorRT

https://www.youtube.com/watch?v=1Tr1ifuSh6o

cuDNN

https://developer.nvidia.com/rdp/cudnn-archive

CUDA

https://developer.nvidia.com/cuda-12-1-1-download-archive?target_os=Linux&target_arch=x86_64&Distribution=Ubuntu&target_version=22.04&target_type=runfile_local

TensorRT

https://developer.nvidia.com/nvidia-tensorrt-8x-download

anaCONDA environments

https://medium.com/@dev-charodeyka/tensorflow-conda-nvidia-gpu-on-ubuntu-22-04-3-lts-ad61c1d9ee32

conda activate tf-env-ultimate