/tinygltf

Header only C++11 tiny glTF 2.0 library

Primary LanguageC++MIT LicenseMIT

Header only C++ tiny glTF library(loader/saver).

TinyGLTF is a header only C++11 glTF 2.0 https://github.com/KhronosGroup/glTF library.

TinyGLTF uses Niels Lohmann's json library(https://github.com/nlohmann/json), so now it requires C++11 compiler. If you are looking for old, C++03 version, please use devel-picojson branch(but not maintained anymore).

Status

  • v2.4.0 Experimental RapidJSON support. Experimental C++14 support(C++14 may give better performance)
  • v2.3.0 Modified Material representation according to glTF 2.0 schema(and introduced TextureInfo class)
  • v2.2.0 release(Support loading 16bit PNG. Sparse accessor support)
  • v2.1.0 release(Draco support)
  • v2.0.0 release(22 Aug, 2018)!

Branches

  • sajson : Use sajson to parse JSON. Parsing only but faster compile time(2x reduction compared to json.hpp and RapidJson)

Builds

Build Status

Build status

C/C++ CI

Features

  • Written in portable C++. C++-11 with STL dependency only.
    • macOS + clang(LLVM)
    • iOS + clang
    • Linux + gcc/clang
    • Windows + MinGW
    • Windows + Visual Studio 2015 Update 3 or later.
      • Visual Studio 2013 is not supported since they have limited C++11 support and failed to compile json.hpp.
    • Android NDK
    • Android + CrystaX(NDK drop-in replacement) GCC
    • Web using Emscripten(LLVM)
  • Moderate parsing time and memory consumption.
  • glTF specification v2.0.0
    • ASCII glTF
      • Load
      • Save
    • Binary glTF(GLB)
      • Load
      • Save(.bin embedded .glb)
  • Buffers
    • Parse BASE64 encoded embedded buffer data(DataURI).
    • Load .bin file.
  • Image(Using stb_image)
    • Parse BASE64 encoded embedded image data(DataURI).
    • Load external image file.
    • Load PNG(8bit and 16bit)
    • Load JPEG(8bit only)
    • Load BMP
    • Load GIF
    • Custom Image decoder callback(e.g. for decoding OpenEXR image)
  • Morph traget
    • Sparse accessor
  • Load glTF from memory
  • Custom callback handler
    • Image load
    • Image save
  • Extensions
    • Draco mesh decoding
    • Draco mesh encoding

Note on extension property

In extension(ExtensionMap), JSON number value is parsed as int or float(number) and stored as tinygltf::Value object. If you want a floating point value from tinygltf::Value, use GetNumberAsDouble() method.

IsNumber() returns true if the underlying value is an int value or a floating point value.

Examples

  • glview : Simple glTF geometry viewer.
  • validator : Simple glTF validator with JSON schema.
  • basic : Basic glTF viewer with texturing support.
  • build-gltf : Build simple glTF scene from a scratch.

Projects using TinyGLTF

TODOs

  • Write C++ code generator which emits C++ code from JSON schema for robust parsing.
  • Mesh Compression/decompression(Open3DGC, etc)
    • Load Draco compressed mesh
    • Save Draco compressed mesh
    • Open3DGC?
  • Support extensions and extras property
  • HDR image?
    • OpenEXR extension through TinyEXR.
  • 16bit PNG support in Serialization
  • Write example and tests for animation and skin

Licenses

TinyGLTF is licensed under MIT license.

TinyGLTF uses the following third party libraries.

  • json.hpp : Copyright (c) 2013-2017 Niels Lohmann. MIT license.
  • base64 : Copyright (C) 2004-2008 RenĂ© Nyffenegger
  • stb_image.h : v2.08 - public domain image loader - Github link
  • stb_image_write.h : v1.09 - public domain image writer - Github link

Build and example

Copy stb_image.h, stb_image_write.h, json.hpp and tiny_gltf.h to your project.

Loading glTF 2.0 model

// Define these only in *one* .cc file.
#define TINYGLTF_IMPLEMENTATION
#define STB_IMAGE_IMPLEMENTATION
#define STB_IMAGE_WRITE_IMPLEMENTATION
// #define TINYGLTF_NOEXCEPTION // optional. disable exception handling.
#include "tiny_gltf.h"

using namespace tinygltf;

Model model;
TinyGLTF loader;
std::string err;
std::string warn;

bool ret = loader.LoadASCIIFromFile(&model, &err, &warn, argv[1]);
//bool ret = loader.LoadBinaryFromFile(&model, &err, &warn, argv[1]); // for binary glTF(.glb)

if (!warn.empty()) {
  printf("Warn: %s\n", warn.c_str());
}

if (!err.empty()) {
  printf("Err: %s\n", err.c_str());
}

if (!ret) {
  printf("Failed to parse glTF\n");
  return -1;
}

Loader options

  • TinyGLTF::SetPreserveimageChannels(bool onoff). true to preserve image channels as stored in image file for loaded image. false by default for backward compatibility(image channels are widen to RGBA 4 channels). Effective only when using builtin image loader(STB image loader).

Compile options

  • TINYGLTF_NOEXCEPTION : Disable C++ exception in JSON parsing. You can use -fno-exceptions or by defining the symbol JSON_NOEXCEPTION and TINYGLTF_NOEXCEPTION to fully remove C++ exception codes when compiling TinyGLTF.
  • TINYGLTF_NO_STB_IMAGE : Do not load images with stb_image. Instead use TinyGLTF::SetImageLoader(LoadimageDataFunction LoadImageData, void *user_data) to set a callback for loading images.
  • TINYGLTF_NO_STB_IMAGE_WRITE : Do not write images with stb_image_write. Instead use TinyGLTF::SetImageWriter(WriteimageDataFunction WriteImageData, void *user_data) to set a callback for writing images.
  • TINYGLTF_NO_EXTERNAL_IMAGE : Do not try to load external image file. This option would be helpful if you do not want to load image files during glTF parsing.
  • TINYGLTF_ANDROID_LOAD_FROM_ASSETS: Load all files from packaged app assets instead of the regular file system. Note: You must pass a valid asset manager from your android app to tinygltf::asset_manager beforehand.
  • TINYGLTF_ENABLE_DRACO: Enable Draco compression. User must provide include path and link correspnding libraries in your project file.
  • TINYGLTF_NO_INCLUDE_JSON : Disable including json.hpp from within tiny_gltf.h because it has been already included before or you want to include it using custom path before including tiny_gltf.h.
  • TINYGLTF_NO_INCLUDE_RAPIDJSON : Disable including RapidJson's header files from within tiny_gltf.h because it has been already included before or you want to include it using custom path before including tiny_gltf.h.
  • TINYGLTF_NO_INCLUDE_STB_IMAGE : Disable including stb_image.h from within tiny_gltf.h because it has been already included before or you want to include it using custom path before including tiny_gltf.h.
  • TINYGLTF_NO_INCLUDE_STB_IMAGE_WRITE : Disable including stb_image_write.h from within tiny_gltf.h because it has been already included before or you want to include it using custom path before including tiny_gltf.h.
  • TINYGLTF_USE_RAPIDJSON : Use RapidJSON as a JSON parser/serializer. RapidJSON files are not included in TinyGLTF repo. Please set an include path to RapidJSON if you enable this featrure.
  • TINYGLTF_USE_CPP14 : Use C++14 feature(requires C++14 compiler). This may give better performance than C++11.

CMake options

You can add tinygltf using add_subdirectory feature. If you add tinygltf to your project using add_subdirectory, it would be better to set TINYGLTF_HEADER_ONLY on(just add an include path to tinygltf) and TINYGLTF_INSTALL off(Which does not install tinygltf files).

// Your project's CMakeLists.txt
...

set(TINYGLTF_HEADER_ONLY ON CACHE INTERNAL "" FORCE)
set(TINYGLTF_INSTALL OFF CACHE INTERNAL "" FORCE)
add_subdirectory(/path/to/tinygltf)

Saving gltTF 2.0 model

  • Buffers.
    • To file
    • Embedded
    • Draco compressed?
  • Images
    • To file
    • Embedded
  • Binary(.glb)
    • .bin embedded single .glb
    • External .bin

Running tests.

glTF parsing test

Setup

Python 2.6 or 2.7 required. Git clone https://github.com/KhronosGroup/glTF-Sample-Models to your local dir.

Run parsing test

After building loader_example, edit test_runner.py, then,

$ python test_runner.py

Unit tests

$ cd tests
$ make
$ ./tester
$ ./tester_noexcept

Fuzzing tests

See tests/fuzzer for details.

After running fuzzer on Ryzen9 3950X a week, at least LoadASCIIFromString looks safe except for out-of-memory error in Fuzzer. We may be better to introduce bounded memory size checking when parsing glTF data.

Third party licenses