Alex Wood 7319db7a50 Initial support for draco mesh compression. In this PR, we establish that draco is a dependency built external to tinygltf, which breaks from the current tradition of header only dependencies. For that reason, this feature is hidden behind a #define TINYGLTF_ENABLE_DRACO and requires developers to explicitly opt-in for draco support.
In this change, tinygltf any primitive using draco compression will:
If indices are specified
1) Decode the index buffer using draco, creating a new buffer and bufferview, adding to Model::bufferViews and Model::buffer collections
2) Update the primitive's accessor id to reference this new decoded bufferview.
For each attribute semantic specified by the draco extension
1) Decode the vertex buffer using draco, creating a new buffer and bufferview, adding to Model::bufferViews and Model::buffer collections
2) Update the primitive's accessor id to reference this new decoded bufferview.
2019-01-24 15:38:16 -05:00
2016-04-20 14:06:56 +09:00
2019-01-14 22:11:11 +09:00
2016-03-08 01:31:49 +09:00
2018-02-20 14:42:11 +01:00
2018-02-20 14:40:33 +01:00
2018-02-20 14:40:33 +01:00
2018-10-16 12:03:45 +02:00
2017-12-08 19:45:33 +09:00
2018-04-01 13:31:09 +02:00
2015-12-20 20:27:54 +09:00

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.

Status

v2.0.0 release(22 Aug, 2018)!

Builds

Build Status

Build status

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
    • Binary glTF(GLB)
    • PBR material description
  • 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.
    • PNG(8bit only)
    • JPEG(8bit only)
    • BMP
    • GIF
    • Custom Image decoder callback(e.g. for decoding OpenEXR image)
  • Load from memory
  • Custom callback handler
    • Image load

Examples

  • glview : Simple glTF geometry viewer.
  • validator : Simple glTF validator with JSON schema.

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
  • Support extensions and extras property
  • HDR image?
    • OpenEXR extension through TinyEXR.
  • Write example and tests for animation and skin
    • Skinning
    • Morph targets

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 René 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;
}

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 woulde be helpful if you do not want load image file 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.

Saving gltTF 2.0 model

  • Buffers.
    • To file
    • Embedded
    • Draco compressed?
  • Images
    • To file
    • Embedded
  • Binary(.glb)

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

Third party licenses

  • json.hpp : Licensed under the MIT License http://opensource.org/licenses/MIT. Copyright (c) 2013-2017 Niels Lohmann http://nlohmann.me.
  • stb_image : Public domain.
  • catch : Copyright (c) 2012 Two Blue Cubes Ltd. All rights reserved. Distributed under the Boost Software License, Version 1.0.
Description
No description provided
Readme MIT 22 MiB
Languages
C++ 82.4%
C 17.2%
CMake 0.2%
Python 0.1%