Metadata-Version: 2.1
Name: trimesh
Version: 3.7.13
Summary: Import, export, process, analyze and view triangular meshes.
Home-page: https://github.com/mikedh/trimesh
Author: Michael Dawson-Haggerty
Author-email: mikedh@kerfed.com
License: MIT
Description: [![trimesh](https://trimsh.org/images/logotype-a.svg)](http://trimsh.org)
        
        -----------
        [![Github Actions](https://github.com/mikedh/trimesh/workflows/Release%20Trimesh/badge.svg)](https://github.com/mikedh/trimesh/actions)  [![PyPI version](https://badge.fury.io/py/trimesh.svg)](https://badge.fury.io/py/trimesh) [![Join the chat at https://gitter.im/trimsh/Lobby](https://badges.gitter.im/trimsh/Lobby.svg)](https://gitter.im/trimsh/Lobby?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)
        
        
        
        Trimesh is a pure Python (2.7-3.4+) 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.
        
        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
        
        Keeping `trimesh` easy to install is a core goal, thus the *only* hard dependency is [numpy](http://www.numpy.org/). Installing other packages adds functionality but is not required. For the easiest install with just numpy, `pip` can generally install `trimesh` cleanly on Windows, Linux, and OSX:
        
        ```bash
        pip install trimesh
        ```
        
        For more functionality, like convex hulls (`scipy`), graph operations (`networkx`), 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
        ```
        
        To install `trimesh` with the soft dependencies which install cleanly on Linux, OSX, and Windows* using `pip`:
        ```bash
        pip install trimesh[easy]
        ```
        
        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()
        
        # mesh objects can be created from existing faces and vertex data
        mesh = trimesh.Trimesh(vertices=[[0, 0, 0], [0, 0, 1], [0, 1, 0]],
                               faces=[[0, 1, 2]])
        
        # by default, Trimesh will do a light processing, which will
        # remove any NaN values and merge vertices that share position
        # if you want to not do this on load, you can pass `process=False`
        mesh = trimesh.Trimesh(vertices=[[0, 0, 0], [0, 0, 1], [0, 1, 0]],
                               faces=[[0, 1, 2]],
                               process=False)
        
        # mesh objects can be loaded from a file name or from a buffer
        # you can pass any of the kwargs for the `Trimesh` constructor
        # to `trimesh.load`, including `process=False` if you would like
        # to preserve the original loaded data without merging vertices
        # STL files will be a soup of disconnected triangles without
        # merging vertices however and will not register as watertight
        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
        * Import geometry files using the GMSH SDK if installed (BREP, STEP, IGES, INP, BDF, etc)
        * Export meshes as binary STL, binary PLY, ASCII OFF, OBJ, GLTF/GLB 2.0, COLLADA, etc.
        * Export meshes using the GMSH SDK if installed (Abaqus INP, Nastran BDF, etc)
        * Preview meshes using pyglet or in- line in jupyter notebooks using three.js
        * Automatic hashing of numpy arrays for change tracking using MD5, zlib CRC, or xxhash
        * Internal caching of computed values validated from hashes
        * Calculate 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, principal components of inertia vectors and components
        * Repair simple problems with triangle winding, normals, and quad/tri holes
        * Convex hulls of meshes 
        * Compute rotation/translation/tessellation invariant identifier and find duplicate meshes
        * Determine if a mesh is watertight, convex, etc.
        * 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 a back end. Note that mesh booleans in general are usually slow and unreliable
        * Voxelize watertight meshes
        * Volume mesh generation (TETgen) using Gmsh SDK
        * Smooth watertight meshes using laplacian smoothing algorithms (Classic, Taubin, Humphrey)
        * Subdivide faces of a mesh
        * Minimum volume oriented bounding boxes for meshes
        * Minimum volume bounding spheres
        * Symbolic integration of functions over triangles
        * Calculate nearest point on mesh surface and signed distance
        * Determine if a point lies inside or outside of a well constructed 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 rendered (pyglet window, three.js in a jupyter notebook, [pyrender](https://github.com/mmatl/pyrender)) or exported.
        * Many utility functions, like transforming points, unitizing vectors, aligning vectors, tracking numpy arrays for changes, grouping rows, etc.
        
        
        ## Viewer
        
        Trimesh includes an optional `pyglet` based viewer for debugging and inspecting. In the mesh view window, opened with `mesh.show()`, the following commands can be used:
        
        * `mouse click + drag` rotates the view
        * `ctl + mouse click + drag` pans the view
        * `mouse wheel` zooms
        * `z` returns to the base view
        * `w` toggles wireframe mode
        * `c` toggles backface culling
        * `g` toggles an XY grid with Z set to lowest point
        * `a` toggles an XYZ-RGB axis marker between: off, at world frame, or at every frame and world, and at every frame
        * `f` toggles between fullscreen and windowed mode
        * `m` maximizes the window
        * `q` closes the window
        
        If called from inside a `jupyter` notebook, `mesh.show()` displays an in-line preview using `three.js` to display the mesh or scene. For more complete rendering (PBR, better lighting, shaders, better off-screen support, etc) [pyrender](https://github.com/mmatl/pyrender) is designed to interoperate with `trimesh` objects.
        
        ## Projects Using Trimesh
        
        You can check out the [Github network](https://github.com/mikedh/trimesh/network/dependents) for things using trimesh. A select few:
        - Nvidia's [kaolin](https://github.com/NVIDIAGameWorks/kaolin) for deep learning on 3D geometry.
        - [Cura](https://github.com/Ultimaker/Cura), a popular slicer for 3D printing.
        - Berkeley's [DexNet4](https://www.youtube.com/watch?v=GBiAxoWBNho&feature=emb_logo) and related [ambidextrous.ai](https://www.ambidextrous.ai/) work with robotic grasp planning and manipulation.
        - Kerfed's [Kerfed's Engine](https://kerfed.com/technology) for analyzing assembly geometry for manufacturing.
        - [MyMiniFactory's](https://www.myminifactory.com/) P2Slice for preparing models for 3D printing.
        - [pyrender](https://github.com/mmatl/pyrender) A library to render scenes from Python using nice looking PBR materials.
        - [urdfpy](https://github.com/mmatl/urdfpy) Load URDF robot descriptions in Python.
        - [moderngl-window](https://github.com/moderngl/moderngl-window) A helper to create GL contexts and load meshes.
        - [vtkplotter](https://github.com/marcomusy/vtkplotter) Visualize meshes interactively.
        - [fsleyes](https://users.fmrib.ox.ac.uk/~paulmc/fsleyes/userdoc/latest/quick_start.html) View MRI images and brain data.
        ## Which Mesh Format Should I Use?
        
        Quick recommendation: `GLB` or `PLY`. Every time you replace `OBJ` with `GLB` an angel gets its wings.
        
        If you want things like by-index faces, instancing, colors, textures, etc, `GLB` is a terrific choice. GLTF/GLB is an [extremely well specified](https://github.com/KhronosGroup/glTF/tree/master/specification/2.0) modern format that is easy and fast to parse: it has a JSON header describing data in a binary blob. It has a simple hierarchical scene graph, a great looking modern physically based material system, support in [dozens-to-hundreds of libraries](https://github.com/KhronosGroup/glTF/issues/1058), and a [John Carmack endorsment](https://www.khronos.org/news/press/significant-gltf-momentum-for-efficient-transmission-of-3d-scenes-models). Note that GLTF is a large specification, and `trimesh` only supports a subset of features: loading basic geometry is supported, NOT supported are fancier things like animations, skeletons, etc.  
        
        In the wild, `STL` is perhaps the most common format. `STL` files are extremely simple: it is basically just a list of triangles. They are robust and are a good choice for basic geometry. Binary `PLY` files are a good step up, as they support indexed faces and colors.
        
        Wavefront `OBJ` is also pretty common: unfortunately OBJ doesn't have a widely accepted specification so every importer and exporter implements things slightly differently, making it tough to support. It also allows unfortunate things like arbitrary sized polygons, has a face representation which is easy to mess up, references other files for materials and textures, arbitrarily interleaves data, and is slow to parse. Give `GLB` or `PLY` a try as an alternative!
        
        ## How can I cite this library?
        
        A question that comes up pretty frequently is [how to cite the library.](https://github.com/mikedh/trimesh/issues?utf8=1&q=cite) A quick BibTex recommendation:
        ```
        @software{trimesh,
        	author = {{Dawson-Haggerty et al.}},
        	title = {trimesh},
        	url = {https://trimsh.org/},
        	version = {3.2.0},
        	date = {2019-12-8},
        }
        ```
        
        ## Containers
           
        If you want to deploy something in a container that uses trimesh, automated `debian:buster-slim` based builds with trimesh and dependencies are available on [Docker Hub](https://hub.docker.com/repository/docker/trimesh/trimesh) with image tags for `latest`, git short hash for the commit in master (i.e. `trimesh/trimesh:0c1298d`), and version (i.e. `trimesh/trimesh:3.5.27`):
        
        `docker pull trimesh/trimesh`
        
        [Here's an example](https://github.com/mikedh/trimesh/tree/master/examples/dockerRender) of how to render meshes using LLVMpipe and XVFB inside a container.
        
        
Keywords: graphics mesh geometry 3D
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Natural Language :: English
Classifier: Topic :: Scientific/Engineering
Description-Content-Type: text/markdown
Provides-Extra: test
Provides-Extra: easy
Provides-Extra: all
