Python get_bunny Examples

Example #1

File: ply.py Project: mpopescu/compas

class PLYParser(object):
    """"""

    def __init__(self, reader, precision=None):
        self.precision = precision
        self.reader = reader
        self.vertices = None
        self.edges = None
        self.faces = None
        self.parse()

    def parse(self):
        self.vertices = [(vertex['x'], vertex['y'], vertex['z']) for vertex in self.reader.vertices]
        self.faces = [face['vertex_indices'] for face in self.reader.faces]


# ==============================================================================
# Main
# ==============================================================================

if __name__ == "__main__":

    import compas
    from compas.datastructures import Mesh

    ply = PLY(compas.get_bunny())

    mesh = Mesh.from_vertices_and_faces(ply.parser.vertices, ply.parser.faces)

    print(mesh.summary())

Example #2

import compas
from math import radians
from compas.datastructures import Mesh
from compas.geometry import Point, Rotation, Scale, Translation, Box
from compas.geometry import trimesh_remesh

from compas_view2.app import App

# ==============================================================================
# Get Bunny
# ==============================================================================

before = Mesh.from_ply(compas.get_bunny())

# ==============================================================================
# Clean up
# ==============================================================================

before.cull_vertices()

# ==============================================================================
# Transform
# ==============================================================================

T = Translation.from_vector(Point(0, 0, 0) - Point(*before.centroid()))
S = Scale.from_factors([100, 100, 100])
R = Rotation.from_axis_and_angle([1, 0, 0], radians(90))

before.transform(R * S * T)

# ==============================================================================

Example #3

File: mesh-parameterisation.py Project: tclim/compas

from scipy.sparse.linalg import spsolve

from compas.datastructures import Mesh
from compas.plotters import MeshPlotter


__author__    = ['Tom Van Mele', ]
__copyright__ = 'Copyright 2016 - Block Research Group, ETH Zurich'
__license__   = 'MIT'
__email__     = '*****@*****.**'


# make a *stanford bunny* mesh

mesh = Mesh.from_ply(compas.get_bunny())

mesh.cull_vertices()

# get any vertex of the mesh
# and its neighbours

v1 = mesh.get_any_vertex()

nbrs = mesh.vertex_neighbours(v1, ordered=True)

# make a quad containing:
# one of the neighbours
# and the CCW and CW neighbours of that neighbour, respectively
# and set them as anchors