gradio>=5.0
numpy>=1.26
scipy>=1.11
scikit-image>=0.22
skan>=0.12
pandas>=2.0
openpyxl>=3.1
tifffile>=2024.1.1
aicspylibczi>=3.1.1
imagecodecs>=2024.1.1
# Hair-cell detection (Step 2) REQUIRES Cellpose-SAM. Cellpose 4.x ships the
# SAM-backbone "cpsam" model; torch/torchvision are its backend. The ~1.2 GB
# model downloads on first use — a GPU Space is strongly recommended for speed.
# Drop a fine-tuned model at models/hair_cell_cpsam (or set NEURON_TRACER_CP_MODEL)
# to use fine-tuned weights instead of the stock Cellpose-SAM model.
cellpose>=4.0
torch>=2.3
torchvision>=0.18