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tinyobjloader

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Join the chat at https://gitter.im/syoyo/tinyobjloader (inactive. gitter chat will be removed in the future. Please use github issue if you have questions and got issues)

Tiny but powerful single file wavefront obj loader written in C++03. No dependency except for C++ STL. It can parse over 10M polygons with moderate memory and time.

tinyobjloader is good for embedding .obj loader to your (global illumination) renderer ;-)

If you are looking for C89 version, please see https://github.com/syoyo/tinyobjloader-c .

Notice!

We have released new version v1.0.0 on 20 Aug, 2016. Old version is available as v0.9.x branch https://github.com/syoyo/tinyobjloader/tree/v0.9.x

What's new

Requirements

  • C++03 compiler

Old version

Previous old version is available in v0.9.x branch.

Example

Rungholt

tinyobjloader can successfully load 6M triangles Rungholt scene. https://casual-effects.com/data/index.html

Use case

TinyObjLoader is successfully used in ...

New version(v1.0.x)

Old version(v0.9.x)

Features

Primitives

  • face(f)
  • lines(l)
  • points(p)
  • curve
  • 2D curve
  • surface.
  • Free form curve/surfaces

TODO

  • Fix obj_sticker example.
  • More unit test codes.
  • Texture options

License

TinyObjLoader is licensed under MIT license.

Third party licenses.

  • pybind11 : BSD-style license.

Usage

Installation

One option is to simply copy the header file into your project and to make sure that TINYOBJLOADER_IMPLEMENTATION is defined exactly once.

Tinyobjlaoder is also available as a conan package. Conan integrates with many build systems and lets you avoid manual dependency installation. Their documentation is a great starting point.

Building tinyobjloader - Using vcpkg

You can download and install tinyobjloader using the vcpkg dependency manager:

git clone https://github.com/Microsoft/vcpkg.git
cd vcpkg
./bootstrap-vcpkg.sh
./vcpkg integrate install
./vcpkg install tinyobjloader

The tinyobjloader port in vcpkg is kept up to date by Microsoft team members and community contributors. If the version is out of date, please create an issue or pull request on the vcpkg repository.

Data format

attrib_t contains single and linear array of vertex data(position, normal and texcoord).

attrib_t::vertices => 3 floats per vertex

       v[0]        v[1]        v[2]        v[3]               v[n-1]
  +-----------+-----------+-----------+-----------+      +-----------+
  | x | y | z | x | y | z | x | y | z | x | y | z | .... | x | y | z |
  +-----------+-----------+-----------+-----------+      +-----------+

attrib_t::normals => 3 floats per vertex

       n[0]        n[1]        n[2]        n[3]               n[n-1]
  +-----------+-----------+-----------+-----------+      +-----------+
  | x | y | z | x | y | z | x | y | z | x | y | z | .... | x | y | z |
  +-----------+-----------+-----------+-----------+      +-----------+

attrib_t::texcoords => 2 floats per vertex

       t[0]        t[1]        t[2]        t[3]               t[n-1]
  +-----------+-----------+-----------+-----------+      +-----------+
  |  u  |  v  |  u  |  v  |  u  |  v  |  u  |  v  | .... |  u  |  v  |
  +-----------+-----------+-----------+-----------+      +-----------+

attrib_t::colors => 3 floats per vertex(vertex color. optional)

       c[0]        c[1]        c[2]        c[3]               c[n-1]
  +-----------+-----------+-----------+-----------+      +-----------+
  | x | y | z | x | y | z | x | y | z | x | y | z | .... | x | y | z |
  +-----------+-----------+-----------+-----------+      +-----------+

Each shape_t::mesh_t does not contain vertex data but contains array index to attrib_t. See loader_example.cc for more details.


mesh_t::indices => array of vertex indices.

  +----+----+----+----+----+----+----+----+----+----+     +--------+
  | i0 | i1 | i2 | i3 | i4 | i5 | i6 | i7 | i8 | i9 | ... | i(n-1) |
  +----+----+----+----+----+----+----+----+----+----+     +--------+

Each index has an array index to attrib_t::vertices, attrib_t::normals and attrib_t::texcoords.

mesh_t::num_face_vertices => array of the number of vertices per face(e.g. 3 = triangle, 4 = quad , 5 or more = N-gons).


  +---+---+---+        +---+
  | 3 | 4 | 3 | ...... | 3 |
  +---+---+---+        +---+
    |   |   |            |
    |   |   |            +-----------------------------------------+
    |   |   |                                                      |
    |   |   +------------------------------+                       |
    |   |                                  |                       |
    |   +------------------+               |                       |
    |                      |               |                       |
    |/                     |/              |/                      |/

 mesh_t::indices

  |    face[0]   |       face[1]     |    face[2]   |     |      face[n-1]           |
  +----+----+----+----+----+----+----+----+----+----+     +--------+--------+--------+
  | i0 | i1 | i2 | i3 | i4 | i5 | i6 | i7 | i8 | i9 | ... | i(n-3) | i(n-2) | i(n-1) |
  +----+----+----+----+----+----+----+----+----+----+     +--------+--------+--------+

Note that when triangulate flag is true in tinyobj::LoadObj() argument, num_face_vertices are all filled with 3(triangle).

float data type

TinyObjLoader now use real_t for floating point data type. Default is float(32bit). You can enable double(64bit) precision by using TINYOBJLOADER_USE_DOUBLE define.

Example code

#define TINYOBJLOADER_IMPLEMENTATION // define this in only *one* .cc
#include "tiny_obj_loader.h"

std::string inputfile = "cornell_box.obj";
tinyobj::attrib_t attrib;
std::vector<tinyobj::shape_t> shapes;
std::vector<tinyobj::material_t> materials;

std::string warn;
std::string err;

bool ret = tinyobj::LoadObj(&attrib, &shapes, &materials, &warn, &err, inputfile.c_str());

if (!warn.empty()) {
  std::cout << warn << std::endl;
}

if (!err.empty()) {
  std::cerr << err << std::endl;
}

if (!ret) {
  exit(1);
}

// Loop over shapes
for (size_t s = 0; s < shapes.size(); s++) {
  // Loop over faces(polygon)
  size_t index_offset = 0;
  for (size_t f = 0; f < shapes[s].mesh.num_face_vertices.size(); f++) {
    int fv = shapes[s].mesh.num_face_vertices[f];

    // Loop over vertices in the face.
    for (size_t v = 0; v < fv; v++) {
      // access to vertex
      tinyobj::index_t idx = shapes[s].mesh.indices[index_offset + v];
      tinyobj::real_t vx = attrib.vertices[3*idx.vertex_index+0];
      tinyobj::real_t vy = attrib.vertices[3*idx.vertex_index+1];
      tinyobj::real_t vz = attrib.vertices[3*idx.vertex_index+2];
      tinyobj::real_t nx = attrib.normals[3*idx.normal_index+0];
      tinyobj::real_t ny = attrib.normals[3*idx.normal_index+1];
      tinyobj::real_t nz = attrib.normals[3*idx.normal_index+2];
      tinyobj::real_t tx = attrib.texcoords[2*idx.texcoord_index+0];
      tinyobj::real_t ty = attrib.texcoords[2*idx.texcoord_index+1];
      // Optional: vertex colors
      // tinyobj::real_t red = attrib.colors[3*idx.vertex_index+0];
      // tinyobj::real_t green = attrib.colors[3*idx.vertex_index+1];
      // tinyobj::real_t blue = attrib.colors[3*idx.vertex_index+2];
    }
    index_offset += fv;

    // per-face material
    shapes[s].mesh.material_ids[f];
  }
}

Optimized loader

Optimized multi-threaded .obj loader is available at experimental/ directory. If you want absolute performance to load .obj data, this optimized loader will fit your purpose. Note that the optimized loader uses C++11 thread and it does less error checks but may work most .obj data.

Here is some benchmark result. Time are measured on MacBook 12(Early 2016, Core m5 1.2GHz).

  • Rungholt scene(6M triangles)
    • old version(v0.9.x): 15500 msecs.
    • baseline(v1.0.x): 6800 msecs(2.3x faster than old version)
    • optimised: 1500 msecs(10x faster than old version, 4.5x faster than baseline)

Python binding

CI + PyPI upload

cibuildwheels + twine upload for each git tagging event is handled in Azure Pipeline.

How to bump version(For developer)

  • Bump version in CMakeLists.txt
  • Update version in python/setup.py
  • Commit with tag name starging with v(e.g. v2.1.0)
  • git push --tags
    • cibuildwheels + pypi upload(through twine) will be automatically triggered in Azure Pipeline.

Tests

Unit tests are provided in tests directory. See tests/README.md for details.

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