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Type Aliases

Mesh

Mesh = Union[tuple[np.ndarray, np.ndarray], Any]
A mesh can be represented as:
  • A tuple of (vertices, faces) where both are numpy arrays
  • Any object with vertices and faces attributes

ArrayLike

ArrayLike = Union[np.ndarray, list, tuple]
Represents array-like objects that can be converted to numpy arrays.

Functions

interpret_mesh

def interpret_mesh(mesh) -> Tuple[np.ndarray, np.ndarray]
Converts various mesh representations into a standardized tuple format of vertices and faces.
mesh
Mesh
A mesh object that can be either a tuple of (vertices, faces) or an object with vertices and faces attributes
Returns: Tuple[np.ndarray, np.ndarray] A tuple containing:
  • vertices: An array of vertex coordinates
  • faces: An array of face indices
Raises: ValueError Raises if the mesh is not a tuple or doesn’t have both vertices and faces attributes.
import numpy as np
from meshmash.types import interpret_mesh

vertices = np.array([[0, 0, 0], [1, 0, 0], [0, 1, 0]])
faces = np.array([[0, 1, 2]])
mesh = (vertices, faces)

verts, face_indices = interpret_mesh(mesh)

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