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#! Python3.8
# Based on the answer for pleas to Ultralyitcs to not include the full bloated NVIDA libraries
# when no GPU present: https://github.com/ultralytics/ultralytics/issues/749#issuecomment-1806360075
opencv-python-headless==4.8.1.78 # Installing OpenCV (headless), the Open source Computer Vision library
numpy==1.23 # Installing NumPy, a package for scientific computing
matplotlib>=3.3.0 # Installing Matplotlib, the Python plotting package
opencv-python>=4.6.0 # Installing OpenCV, the Open source Computer Vision library
pillow>=7.1.2 # Installing Pillow, a Python Image Library
pyyaml>=5.3.1 # Installing PyYAML, a library for reading configuration files
requests>=2.23.0 # Installing Requests, the HTTP library
scipy>=1.4.1 # Installing SciPy, a library for mathematics, science, and engineering
tqdm>=4.64.0 # Installing TDQM, the Fast, Extensible Progress Meter
pandas>=1.1.4 # Installing Pandas, a data analysis / data manipulation tool
psutil # Installing psutil, a tool to check system utilization
dill # Installing dill, for serializing and de-serializing Python objects
py-cpuinfo # Installing py-cpuinfo to allow us to query CPU info
# CPU specific Torch 1.8.0. Size ~531Mb
-f https://download.pytorch.org/whl/cpu/torch_stable.html
torch==1.8.0+cpu # Installing PyTorch, for Tensor computation and Deep neural networks
-f https://download.pytorch.org/whl/cpu/torch_stable.html
torchvision==0.9.0+cpu # Installing TorchVision, for Computer Vision based AI
# CPU specific Torch 1.13.0. Size ~830Mb
# --extra-index-url https://download.pytorch.org/whl/cpu
# torch==1.13.0+cpu # Installing PyTorch, for Tensor computation and Deep neural networks
# --extra-index-url https://download.pytorch.org/whl/cpu
# torchvision==0.14.0+cpu # Installing TorchVision, for Computer Vision based AI
# Explicitly install ultralytics without optional dependencies (like CUDA).
--no-deps
ultralytics==8.1.2 # Installing Ultralytics package for object detection in images
CodeProject-AI-SDK # Installing the CodeProject.AI SDK
# last line empty.