API reference

Scikit-Shapes: shape analysis in python.

Functions

Circle([n_points])	Return a circle.
Sphere()	Return a sphere.

Classes

Image(values, *[, dim, dtype, device])	A D-dimensional grid, with a K-dimensional value associated to each of its voxels.
Mask(*[, indices, flat_indices, device])	A D-dimensional mask over a voxel grid.
PolyData(points, *[, edges, triangles, ...])	A polygonal shape that is composed of points, edges and/or triangles.
SparseImage(*[, indices, flat_indices, ...])	A D-dimensional grid, with a K-dimensional value associated to each of its voxels.

Modules

applications
convolutions
features	Point normals, curvatures, etc.
images
input_validation	Input validation module
loss	Loss functions for shape analysis.
morphing	Deformation models.
multiscaling	Multiscale representation of shapes.
optimization	Optimizers.
tasks	High-level tasks: registration, atlas construction, etc.
triangle_mesh	Functions related to triangle meshes.
types	Types aliases and utility functions for scikit-shapes.