PyPI 官网下载 | trimesh-2.37.25.tar.gz

[](http://trimsh.org) ----------- [](https://travis-ci.org/mikedh/trimesh) [](https://ci.appveyor.com/project/mikedh/trimesh/branch/master) [](https://coveralls.io/github/mikedh/trimesh) [](https://badge.fury.io/py/trimesh) [](https://hub.docker.com/r/mikedh/trimesh/) [](https://gitter.im/trimsh/Lobby?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge) Trimesh is a pure Python (2.7- 3.3+) library for loading and using [triangular meshes](https://en.wikipedia.org/wiki/Triangle_mesh) with an emphasis on watertight surfaces. The goal of the library is to provide a full featured and well tested Trimesh object which allows for easy manipulation and analysis, in the style of the Polygon object in the [Shapely library](https://github.com/Toblerity/Shapely). 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. Pull requests are appreciated and responded to promptly! If you'd like to contribute, here is an [up to date list of potential enhancements](https://github.com/mikedh/trimesh/issues/199) although things not on that list are also welcome. Here are some [tips for writing mesh code in Python.](https://github.com/mikedh/trimesh/blob/master/trimesh/exchange/README.md) ## Basic Installation The minimal requirements to import trimesh are [numpy](http://www.numpy.org/), [scipy](http://www.scipy.org) and [networkx](https://networkx.github.io). Installing other packages mentioned adds functionality but is **not required**. For the easiest install with *only* these minimal dependencies `pip` can generally install `trimesh` cleanly on Windows, Linux, and OSX: ```bash pip install trimesh ``` For more functionality, like faster ray queries (`pyembree`), vector path handling (`shapely` and `rtree`), preview windows (`pyglet`), faster cache checks (`xxhash`) and more, the easiest way to get a full `trimesh` install is a [conda environment](https://conda.io/miniconda.html): ```bash # this will install all soft dependencies available on your current platform conda install -c conda-forge trimesh ``` If you're feeling lucky, you can try: ```bash # will try to install things that aren't too tricky pip install trimesh[easy] # will try to install everything pip install trimesh[all] ``` Further information is available in the [advanced installation documentation](https://trimsh.org/install.html). ## Quick Start Here is an example of loading a mesh from file and colorizing its faces. Here is a nicely formatted [ipython notebook version](https://trimsh.org/examples/quick_start.html) of this example. Also check out the [cross section example](https://trimsh.org/examples/section.html) or possibly the [integration of a function over a mesh example](https://github.com/mikedh/trimesh/blob/master/examples/integrate.ipynb). ```python import numpy as np import trimesh # attach to logger so trimesh messages will be printed to console trimesh.util.attach_to_log() # load a file by name or from a buffer mesh = trimesh.load('../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 print(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() # facets are groups of coplanar adjacent faces # set each facet to a random color # colors are 8 bit RGBA by default (n,4) np.uint8 for facet in mesh.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) ``` ## Features * Import meshes from binary/ASCII STL, Wavefront OBJ, ASCII OFF, binary/ASCII PLY, GLTF/GLB 2.0, 3MF, XAML, 3DXML, etc. * Import and export 2D or 3D vector paths from/to DXF or SVG files * Export meshes as binary STL, binary PLY, ASCII OFF, OBJ, GLTF/GLB 2.0, COLLADA, etc. * Preview meshes using pyglet * Preview meshes in- line in jupyter notebooks using three.js * Automatic hashing of numpy arrays storing key data for change tracking using MD5, zlib CRC, or xxhash * Internal caching of computed values validated from hashes * Fast loading of binary files through importers written by defining custom numpy dtypes * Calculate things like face adjacencies, face angles, vertex defects, etc. * Calculate cross sections (i.e. the slicing operation used in 3D printing) * Slice meshes with one or multiple arbitrary planes and return the resulting surface * Split mesh based on face connectivity using networkx, graph-tool, or scipy.sparse * Calculate mass properties, including volume, center of mass, moment of inertia, and principal components of inertia vectors and components * Repair triangle winding and normals to be consistent * Convex hulls of meshes * Compute an identifier that is mostly rotation/translation/tessellation invariant * Determine duplicate meshes from identifier * Determine if a mesh is watertight, convex, etc. * Repair single triangle and single quad holes * Uniformly sample the surface of a mesh * Ray-mesh queries including location, triangle index, etc. * Boolean operations on meshes (intersection, union, difference) using OpenSCAD or Blender as backend * Voxelize watertight meshes * Subdivide faces of a mesh * Minimum volume oriented bounding boxes for meshes * Minimum volume bounding sphere / n-spheres * Symbolic integration of function(x,y,z) over a triangles * Calculate nearest point on mesh surface and signed distance * Determine if a point lies inside or outside of a mesh using signed distance * Primitive objects (Box, Cylinder, Sphere, Extrusion) which are subclassed Trimesh objects and have all the same features (inertia, viewers, etc) * Simple scene graph and transform tree which can be