Geo3D城市引擎大规模建筑植被渲染

TypeScript 复制代码
import * as Geo3D from "../src";
import InitHelper from "./InitHelper";
//3D场景初始化
const sceneControl = InitHelper.init3D();
const container = document.querySelector("#map") as HTMLElement;
container && sceneControl.render(container);
const { scene, camera, renderer } = sceneControl;
const control = InitHelper._createControls(camera, container);
InitHelper.loadGltf(scene, 1);
renderer.shadowMap.type = PCFSoftShadowMap;
const light = InitHelper.addLight(scene, new Vector3(5000, 2000, 5000));
light.visible = true

//插件初始化
const centerGeo = new Vector3(116.185600, 39.896326, 0);
const imageryLayers = new Geo3D.ImageryLayers()
const tdtImageryLayer = new Geo3D.TDTImageryLayer({
    token: 'b832b97649334239ascbb0919148c548b669ba',
})
const tdtImageryLayer2 = new Geo3D.TDTImageryLayer({
    token: 'b832b9764939cbfeeb0919148c548b669ba',
    style: 'cva_w',
})
imageryLayers.add(tdtImageryLayer);
imageryLayers.add(tdtImageryLayer2);
const map = new Geo3D.Map({
    threeModule: {
        scene, camera, renderer, control
    },
    center: centerGeo,
    useEarth: false,
    imageryLayers: imageryLayers,
    // terrainLayer: new Geo3D.TerrainLayer({
    //     maxLevel: 14,
    //     url: globalConfig.terrain_beijing
    // })
})

map.addEventListener(Geo3D.MapEventType.ready, () => {
    const mask = document.getElementById('mask');
    mask!.style.display = 'none';
});

function getFormatExtent(coords) {
    const results: Geo3D.Point[] = [];
    for (let index = 0; index < coords.length; index++) {
        const pointCoord = coords[index];
        const coord3DXYZ = Geo3D.CoordUtil.LonLatTo3DXYZ(pointCoord[0], pointCoord[1], 0);
        results.push([coord3DXYZ.x, coord3DXYZ.z]);
    }
    return results;
}
const minlon1 = 116.182892;
const minlat1 = 39.894874;
const maxlon1 = 116.188174;
const maxlat1 = 39.897445;
const excludeCoords = [
    [minlon1, minlat1],
    [maxlon1, minlat1],
    [maxlon1, maxlat1],
    [minlon1, maxlat1],
    [minlon1, minlat1]
]
const excludeExtent = getFormatExtent(excludeCoords);
// 116.182944, 39.901406
const minlon = 116.162944;
const minlat = 39.881406;
const maxlon = 116.202944;
const maxlat = 39.921406;
const extentCoords = [
    [minlon, minlat],
    [maxlon, minlat],
    [maxlon, maxlat],
    [minlon, maxlat],
    [minlon, minlat]
]
const exttent = getFormatExtent(extentCoords);
const treePipline = new Geo3D.TreeManager.TreePipeline({
    imageryLayer: tdtImageryLayer,
    extent: exttent,
    exclude: excludeExtent,
    scene: scene,
    camera: camera
})
treePipline.add();

//
const buildingPipline = new Geo3D.BuildingPipline({
    pbfUrl: './static/shijingshan.bpf',
    scene: scene
})
buildingPipline.loadBuilding();
相关推荐
esmap4 小时前
ESMAP 智慧消防解决方案:以数字孪生技术构建全域感知消防体系,赋能消防安全管理智能化升级
人工智能·物联网·3d·编辑器·智慧城市
zhooyu5 小时前
C++和OpenGL手搓3D游戏编程(20160207进展和效果)
开发语言·c++·游戏·3d·opengl
听麟12 小时前
HarmonyOS 6.0+ PC端虚拟仿真训练系统开发实战:3D引擎集成与交互联动落地
笔记·深度学习·3d·华为·交互·harmonyos
新缸中之脑12 小时前
30个最好的3D相关AI代理技能
人工智能·3d
多恩Stone12 小时前
【3D AICG 系列-9】Trellis2 推理流程图超详细介绍
人工智能·python·算法·3d·aigc·流程图
多恩Stone14 小时前
【3D AICG 系列-8】PartUV 流程图详解
人工智能·算法·3d·aigc·流程图
多恩Stone2 天前
【3D AICG 系列-6】OmniPart 训练流程梳理
人工智能·pytorch·算法·3d·aigc
晚霞的不甘2 天前
揭秘 CANN 内存管理:如何让大模型在小设备上“轻装上阵”?
前端·数据库·经验分享·flutter·3d
哈__2 天前
CANN加速3D目标检测推理:点云处理与特征金字塔优化
目标检测·3d·目标跟踪
心疼你的一切3 天前
三维创世:CANN加速的实时3D内容生成
数据仓库·深度学习·3d·aigc·cann