# 3dSAGER — Python 3.9
# Install with: pip install -r requirements.txt
# Note: faiss should be installed via conda: conda install -c conda-forge faiss-cpu

# Core ML / data
numpy==1.26.4
pandas==2.3.2
scikit-learn==1.6.1
xgboost==2.1.4
scipy==1.13.1
joblib==1.5.2

# Geometry / GIS
shapely==2.0.5
pyproj==3.6.1
geopandas==0.14.4

# Visualisation
matplotlib==3.9.2

# Utilities
tqdm==4.67.1
Pillow==9.4.0

# Vector search (install via conda for best performance)
# conda install -c conda-forge faiss-cpu
# pip fallback:
faiss-cpu==1.9.0

# Deep learning (optional — required only for ViT-based blocking)
torch==2.5.1
torchvision==0.20.1
# CLIP (OpenAI):
# pip install git+https://github.com/openai/CLIP.git

# Optional — CityGML utilities (generateCityGML.py, randomiseCity.py only)
# lxml>=4.9

clip 
pyarrow