trimesh 2.8.5

Import, export, process, analyze and view triangular meshes.

Python (2.7-3*) library for loading and using triangular meshes. The goal of the library is to provide a fully featured Trimesh object which allows for easy manipulation and analysis, in the style of the excellent Polygon object in the Shapely library.

The API is mostly stable, but this should not be relied on and is not guaranteed; install a specific version if you plan on deploying something using trimesh as a backend.

Installation

Once you have a python distribution and the system packages from the pre-install, the recommended way to install with most functionality is:

pip install trimesh[all]

Or, for only minimal dependencies (no ray queries, boolean operations, vector path handling, mesh creation, viewer, etc):

pip install trimesh

The minimum set of packages required to import trimesh are numpy, scipy and networkx.

Ubuntu Pre-install

Blender and openSCAD are backends used for boolean operations, libspatialindex and libgeos are the libraries used by RTree and Shapely respectivly, and cmake is included to build assimp if you want the latest version.

sudo apt-get install cmake openscad blender libspatialindex-dev libgeos-dev

Windows Pre-Install:

The easiest way to get going on Windows is to install the Anaconda Python distribution, followed by shapely, rtree, and meshpy from the Unofficial Windows Binaries from Christoph Gohlke

Optional Dependencies

To install the latest assimp for additional import formats (python-pyassimp in Ubuntu 14.04 is very old):

sudo pip install git+https://github.com/robotics/assimp_latest.git

If you are using a lot of graph operations (specifically mesh.split) trimesh will automatically use graph-tool if it is installed, for a roughly 10x speedup over networkx on certain operations.

Features

• Import binary/ASCII STL, Wavefront OBJ, ASCII OFF, and binary PLY

• Import additional mesh formats using assimp (if pyassimp installed)

• Import STEP files as meshes (if STEPtools Inc. Author Tools installed)

• Import and export 2D or 3D vector paths from/to DXF or SVG files

• Export meshes as binary STL, binary PLY, ASCII OFF, COLLADA, dictionaries, JSON- serializable dictionaries (base64 encoded arrays), MSGPACK- serializable dictionaries (binary string arrays)

• Preview meshes (requires pyglet)

• Internal caching of computed values which are cleared when vertices or faces are changed (validated with a zlib.adler32 CRC)

• Fast loading of binary files through importers written by defining custom numpy dtypes (on a 234,230 face mesh, 24.5x faster than assimp)

• Calculate face adjacencies quickly (for the same 234,230 face mesh .248 s)

• Calculate cross sections (.146 s)

• Split mesh based on face connectivity using networkx (4.96 s) or graph-tool (.584 s)

• Calculate mass properties, including volume, center of mass, and moment of inertia (.246 s)

• Find planar facets, or coplanar groups of faces (.454 s)

• Fix triangle winding to be consistent

• Fix normals to be oriented ‘outwards’ using ray tests

• Find convex hulls of meshes

• Compute a rotation/translation/tessellation invariant identifier for meshes (from an FFT of the radius distribution)

• Merge duplicate meshes from identifier

• Determine if a mesh is watertight

• Repair single triangle and single quad holes

• Uniformly sample the surface of a mesh

• Ray-mesh queries

• Boolean operations on meshes (intersection, union, difference) using OpenSCAD or Blender as backend

• Voxelize watertight meshes

• Unit conversions

• Subdivide faces of a mesh

• Rapid computation of minimum volume oriented bounding box for a mesh

• Minimum volume bounding sphere / n-spheres

• Symbolic integration of function(x,y,z) over a triangle

• Very quick (sympy-numpy lambda) evaluation of symbolic integral result over a mesh

• Calculate nearest point on mesh surface and signed distance

• Determine if a point lies inside or outside of a mesh using signed distance

• Create meshes with primitive objects (Extrude, Box, Sphere) which are subclasses of Trimesh

• Simple scene graph and transform tree which can be rendered (pyglet) or exported.

• Numerous utility functions, such as transforming points, unitizing vectors, tracking arrays for changes, grouping rows, etc.

Quick Start

Here is an example of loading a mesh from file and colorizing its faces. Here is a nicely formatted ipython notebook version of this example. Also check out the cross section example or possibly the integration of a function over a mesh example.

import numpy as np
import trimesh

# load a file by name or from a buffer
mesh = trimesh.load_mesh('../models/featuretype.STL')

# is the current mesh watertight?
mesh.is_watertight

# what's the euler number for the mesh?
mesh.euler_number

# the convex hull is another Trimesh object that is available as a property
# lets compare the volume of our mesh with the volume of its convex hull
np.divide(mesh.volume, mesh.convex_hull.volume)

# since the mesh is watertight, it means there is a
# volumetric center of mass which we can set as the origin for our mesh
mesh.vertices -= mesh.center_mass

# what's the moment of inertia for the mesh?
mesh.moment_inertia

# if there are multiple bodies in the mesh we can split the mesh by
# connected components of face adjacency
# since this example mesh is a single watertight body we get a list of one mesh
mesh.split()

# find groups of coplanar adjacent faces
facets, facets_area = mesh.facets(return_area=True)

# set each facet to a random color
# colors are 8 bit RGBA by default (n,4) np.uint8
for facet in facets:
    mesh.visual.face_colors[facet] = trimesh.visual.random_color()

# preview mesh in an opengl window if you installed pyglet with pip
mesh.show()

# transform method can be passed a (4,4) matrix and will cleanly apply the transform
mesh.apply_transform(trimesh.transformations.random_rotation_matrix())

# axis aligned bounding box is available
mesh.bounding_box.extents

# a minimum volume oriented bounding box also available
# primitives are subclasses of Trimesh objects which automatically generate
# faces and vertices from data stored in the 'primitive' attribute
mesh.bounding_box_oriented.primitive.extents
mesh.bounding_box_oriented.primitive.transform

# show the mesh appended with its oriented bounding box
# the bounding box is a trimesh.primitives.Box object, which subclasses
# Trimesh and lazily evaluates to fill in vertices and faces when requested
# (press w in viewer to see triangles)
(mesh + mesh.bounding_box_oriented).show()

# bounding spheres and bounding cylinders of meshes are also
# available, and will be the minimum volume version of each
# except in certain degenerate cases, where they will be no worse
# than a least squares fit version of the primitive.
print(mesh.bounding_box_oriented.volume,
      mesh.bounding_cylinder.volume,
      mesh.bounding_sphere.volume)

Optional Viewer

Trimesh includes an optional pyglet- based viewer for debugging/inspecting. In the mesh view window:

• dragging rotates the view

• ctl + drag pans

• mouse wheel zooms

• ‘z’ returns to the base view

• ‘w’ toggles wireframe mode

• ‘c’ toggles backface culling

Containers

If you want to deploy something in a container that uses trimesh, automated builds containing trimesh and its dependancies are available on docker hub. For an image with all dependancies:

docker pull mikedh/trimesh

Or, for a much smaller image with no boolean operations and slightly slower graph operations (no graph-tool installed, trimesh will fall back to scipy or networkx):

docker pull mikedh/trimesh_minimal