# Tested on Python 3.12.0 (Windows 11) on 19 October 2026, CPU only. Python 3.10+ is required.
# Install the CPU build of PyTorch first (on Linux the default wheels bundle CUDA and weigh several GB):
#   pip install torch==2.14.1 torchvision==0.29.1 --index-url https://download.pytorch.org/whl/cpu
# then:  pip install -r requirements.txt
# The SSL4EO-S12 ResNet-18 weights (43 MB) download from Hugging Face on the first run.
# The geospatial packages are needed if train_unet.py has to run part 1 to make the chips.
torch==2.14.1
torchvision==0.29.1
torchgeo==0.10.1
segmentation-models-pytorch==0.5.0
timm==1.0.30
odc-stac==0.5.3
odc-geo==0.5.3
pystac-client==0.9.0
planetary-computer==1.0.0
overturemaps==1.0.2
rasterio==1.5.2
geopandas==1.2.0
pyogrio==0.13.0
pyarrow==26.0.0
shapely==2.2.0
pyproj==3.8.0
numpy==2.5.2
pandas==3.0.6
scipy==1.18.1
xarray==2026.9.0
dask==2026.8.0
matplotlib==3.11.2