TinyGLTF
is a header only C++11 glTF 2.0 https://github.com/KhronosGroup/glTF library.
Work in process(devel
branch). Very near to release, but need more tests and examples.
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.
- Written in portable C++. C++-11 with STL dependency only.
- macOS + clang(LLVM)
- iOS + clang
- Linux + gcc/clang
- Windows + MinGW
- Android + CrystaX(NDK drop-in replacement) GCC
- Web using Emscripten(LLVM)
- Moderate parsing time and memory consumption.
- glTF specification v2.0.0
- ASCII glTF
- Binary glTF(GLB)
- PBR material description
- Buffers
- Parse BASE64 encoded embedded buffer fata(DataURI).
- Load
.bin
file.
- Image(Using stb_image)
- Parse BASE64 encoded embedded image fata(DataURI).
- Load external image file.
- PNG(8bit only)
- JPEG(8bit only)
- BMP
- GIF
- Write C++ code generator from json schema for robust parsing.
- Serialization
- Compression/decompression(Open3DGC, etc)
- Support
extensions
andextras
property - HDR image?
- Write tests for
animation
andskin
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 René Nyffenegger
- stb_image.h : v2.08 - public domain image loader - http://nothings.org/stb_image.h
Copy stb_image.h
, json.hpp
and tiny_gltf.h
to your project.
// Define these only in *one* .cc file.
#define TINYGLTF_IMPLEMENTATION
#define STB_IMAGE_IMPLEMENTATION
#include "tiny_gltf.h"
using namespace tinygltf;
Model model;
TinyGLTF loader;
std::string err;
bool ret = loader.LoadASCIIFromFile(&model, &err, argv[1]);
//bool ret = loader.LoadBinaryFromFile(&model, &err, argv[1]); // for binary glTF(.glb)
if (!err.empty()) {
printf("Err: %s\n", err.c_str());
}
if (!ret) {
printf("Failed to parse glTF\n");
return -1;
}
T.B.W.
Python 2.6 or 2.7 required. Git clone https://github.com/KhronosGroup/glTF-Sample-Models to your local dir.
After building loader_example
, edit test_runner.py
, then,
$ python test_runner.py