requirements.linux.cuda11_5.txt

#! Python3.8
# CUDA requirements for Linux with CUDA 11.5 installed (default for WSL)

numpy<2.0                       # Installing NumPy, a package for scientific computing

# Pandas                        # Installing Pandas, a data analysis / data manipulation tool
# CoreMLTools                   # Installing CoreMLTools, for working with .mlmodel format models
# OpenCV-Python                 # Installing OpenCV, the Open source Computer Vision library
# Pillow<10.0.0                 # Installing Pillow, a Python Image Library
# SciPy                         # Installing SciPy, a library for mathematics, science, and engineering
# PyYAML                        # Installing PyYAML, a library for reading configuration files

## For CUDA 11.3 (will work in CUDA 11.5)
--find-links https://download.pytorch.org/whl/torch_stable.html
torch==1.12.1+cu113             # Installing PyTorch, an open source machine learning framework
--find-links https://download.pytorch.org/whl/torch_stable.html
torchvision==0.13.1+cu113       # Installing TorchVision, for working with computer vision models

# Specific version because we have a patch
ultralytics==8.1.2              # Installing Ultralytics package for object detection in images

# We need this, but we don't need this.
# Seaborn                       # Installing Seaborn, a data visualization library based on matplotlib

CodeProject-AI-SDK              # Installing the CodeProject.AI SDK

# last line empty.