# PyTorch for Jetson — versions 2.9+ fail with CUBLAS_STATUS_ALLOC_FAILED on CUDA 12.6
# Install in this order:
#   pip3 install torch==2.8.0 --index-url https://pypi.jetson-ai-lab.io/jp6/cu126
#   pip3 install nvidia-cudss-cu12                    # provides libcudss.so.0
#   pip3 install "nvidia-cublas-cu12==12.6.4.1"       # downgrade cublas to match CUDA 12.6
# Also add to ~/.bashrc:
#   export LD_LIBRARY_PATH="$HOME/.local/lib/python3.10/site-packages/nvidia/cu12/lib:$LD_LIBRARY_PATH"

# Core dependencies with version pins for stability
numpy==1.26.4
pandas==2.1.4
matplotlib==3.8.2
scikit-learn==1.3.2
seaborn==0.13.0
opencv-python-headless==4.8.1.78
mediapipe==0.10.8

# Additional useful packages for ML on Jetson
tensorboard==2.14.1
scipy==1.11.4
Pillow==10.1.0
tqdm==4.66.1
pyspellchecker==0.9.0
customtkinter>=5.2.0