# Core
numpy
torch
tqdm
scipy

# Mesh processing
vedo==2024.5.1  # pinned: code uses the .points / .cells API of this release
trimesh
rtree
embreex      # fast, memory-bounded point-in-mesh test for trimesh (SymMFCD volume sampling)
manifold3d
libigl

# Volume / medical imaging
nibabel

# Visualization
matplotlib
Pillow

# Neural network
siren-pytorch

# Encoder (Poisson disk sampling)
# scipy.stats.qmc (included in scipy)

# ImageJ watershed (pyimagej + Java)
pyimagej

# Experiment evaluation
# scipy.optimize.linear_sum_assignment (included in scipy)
# scipy.spatial.cKDTree (included in scipy)