利用Python和C++实现解析gltf文件

pip install pygltflib

import pygltflib
import numpy as np
pathGltf="test.gltf"
gltf=pygltflib.GLTF2().load(pathGltf)
scene=gltf.scenes[gltf.scene]
nodes=[gltf.nodes[node] for node in scenes.nodes]
vertices=np.arry([node.mesh.primitives[0].attributes["POSITION"] for node in nodes])
print(vertices)

import pygltflib
import pathlib
import struct
# load a gltf file
fname = pathlib.Path("C:/Users/User/Desktop/cube.gltf")
gltf = GLTF2().load(fname)
# get the first mesh in the current scene
mesh = gltf.meshes[gltf.scenes[gltf.scene].nodes[0]-1]
# get the vertices for each primitive in the mesh
for primitive in mesh.primitives:
    # get the binary data for this mesh primitive from the buffer
    accessor = gltf.accessors[primitive.attributes.POSITION]
    bufferView = gltf.bufferViews[accessor.bufferView]
    buffer = gltf.buffers[bufferView.buffer]
    data = gltf.get_data_from_buffer_uri(buffer.uri)
    # pull each vertex from the binary buffer and convert it into a tuple of python floats
    vertices = []
    for i in range(accessor.count):
        index = bufferView.byteOffset + accessor.byteOffset + i*12  # the location in the buffer of this vertex
        d = data[index:index+12]  # the vertex data
        v = struct.unpack("<fff", d)   # convert from base64 to three floats
        vertices.append(v)
# unpack floats
vertices2 = []
for a,b,c in vertices:
    vertices2 += [a,b,c]
# create triangles
vertices = vertices2
triangles = []
for i in range(0,len(vertices),9):
    triangles.append(vertices[i:i+9])
# print data
print(triangles)

#include<draco/io/gltf_decoder.h>
#include<draco/tools/draco_transcoder_lib.h>
// 读取gltf文件
bool parse_gltf_from_file(const std::string& filename,std::unique_ptr<draco::Mesh>& mesh){
    draco::GltfDecoder gltfDec;
    draco::StatusOr<std::unique_ptr<draco::Mesh>> stormesh=gltfDec.DecodeFromFile(filename);
    if(!stormesh.ok()){
        return false;
    }
    std::unique_ptr<draco::Mesh> pDracomesh=std::move(stormesh).value();
    std::cout<<"faces num:"<<pDracomesh->num_faces()<<std::endl;
    pDracomesh.swap(mesh);
    return true;
}
//解析出顶点和面片数据
bool get_faces_vertexes(const std::unique_ptr<draco::Mesh>& dracomesh,
                        std::vector<Eigen::Vector3>& vertexes,
                        std::vector<Eigen::Vector3i>& faces){
    auto dump_attribute_to_vec3=[](const draco::PointAttribute& att,std::vector<Eigen::Vector3>& attD){
        if(att.size()==0) return;
        std::vector<Eigen::Vector3> tmp(att.size());
        for(int i=0;i<att.size();++i){
            if(!att.ConvertValue<float,3>(draco::AttributeValueIndex(i),&tmp[i][0])) return;
        }
        attD=std::move(tmp);
    }
    // 解析顶点
    const draco::PointAttribute* posAtt=nullptr;
    std::vector<Eigen::Vector3> points;
    for(int i=0;i<dracomesh->num_attributes();++i){
        const draco::PointAttribute* pAtt=dracomesh->attribute(i);
        switch(pAtt->attribute_type()){
            case draco::PointAttribute::POSITION:
                posAtt=pAtt;
                dump_attribute_to_vec3(*pAtt,points);
                break;
        }
    }
    vertexes=points;
    // 解析面片
    faces.resize(dracomesh->num_faces());
    for(int i=0;i<dracomesh->num_faces();++i){
        for(int j=0;j<3;++j){
            const draco::PointIndex idx=dracomesh->face(draco::FaceIndex(i))[j];
            faces[i][j]=posAtt->mapped_index(idx).value();
        }
    } 
    return true;
}