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Open-source WebGL/WebGPU 3D engine for the web

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import { Quat } from "../../core/math/quat.js"; import { Vec3 } from "../../core/math/vec3.js"; import { Vec4 } from "../../core/math/vec4.js"; import { GSplatData } from "./gsplat-data.js"; import { RenderTarget } from "../../platform/graphics/render-target.js"; import { Texture } from "../../platform/graphics/texture.js"; import { ADDRESS_CLAMP_TO_EDGE, FILTER_NEAREST, PIXELFORMAT_RGBA32F, PIXELFORMAT_RGBA32U, SEMANTIC_POSITION } from "../../platform/graphics/constants.js"; import { QuadRender } from "../../scene/graphics/quad-render.js"; import { RenderPassQuad } from "../../scene/graphics/render-pass-quad.js"; import { ShaderUtils } from "../shader-lib/shader-utils.js"; import glslSogCentersPS from "../shader-lib/glsl/chunks/gsplat/frag/gsplatSogCenters.js"; import wgslSogCentersPS from "../shader-lib/wgsl/chunks/gsplat/frag/gsplatSogCenters.js"; const SH_C0 = 0.28209479177387814; const readImageDataAsync = (texture) => { if (texture.device.isNull) { return new Promise((resolve2) => { resolve2(new Uint8Array(texture.width * texture.height * 4)); }); } return texture.read(0, 0, texture.width, texture.height, { mipLevel: 0, face: 0, immediate: true }); }; const resolve = (scope, values) => { for (const key in values) { scope.resolve(key).setValue(values[key]); } }; class GSplatSogIterator { constructor(data, p, r, s, c, sh) { const lerp = (a, b, t) => a * (1 - t) + b * t; const { meta, shBands } = data; const { means, scales, sh0, shN } = meta; const means_l_data = p && data.means_l._levels[0]; const means_u_data = p && data.means_u._levels[0]; const quats_data = r && data.quats._levels[0]; const scales_data = s && data.scales._levels[0]; const sh0_data = c && data.sh0._levels[0]; const sh_labels_data = sh && data.sh_labels._levels[0]; const sh_centroids_data = sh && data.sh_centroids._levels[0]; const norm = Math.SQRT2; const coeffs = { 1: 3, 2: 8, 3: 15 }[shBands] ?? 0; this.read = (i) => { if (p) { const nx = lerp(means.mins[0], means.maxs[0], ((means_u_data[i * 4 + 0] << 8) + means_l_data[i * 4 + 0]) / 65535); const ny = lerp(means.mins[1], means.maxs[1], ((means_u_data[i * 4 + 1] << 8) + means_l_data[i * 4 + 1]) / 65535); const nz = lerp(means.mins[2], means.maxs[2], ((means_u_data[i * 4 + 2] << 8) + means_l_data[i * 4 + 2]) / 65535); p.x = Math.sign(nx) * (Math.exp(Math.abs(nx)) - 1); p.y = Math.sign(ny) * (Math.exp(Math.abs(ny)) - 1); p.z = Math.sign(nz) * (Math.exp(Math.abs(nz)) - 1); } if (r) { const a = (quats_data[i * 4 + 0] / 255 - 0.5) * norm; const b = (quats_data[i * 4 + 1] / 255 - 0.5) * norm; const c2 = (quats_data[i * 4 + 2] / 255 - 0.5) * norm; const d = Math.sqrt(Math.max(0, 1 - (a * a + b * b + c2 * c2))); const mode = quats_data[i * 4 + 3] - 252; switch (mode) { case 0: r.set(a, b, c2, d); break; case 1: r.set(d, b, c2, a); break; case 2: r.set(b, d, c2, a); break; case 3: r.set(b, c2, d, a); break; } } if (s) { if (meta.version === 2) { const sx = scales.codebook[scales_data[i * 4 + 0]]; const sy = scales.codebook[scales_data[i * 4 + 1]]; const sz = scales.codebook[scales_data[i * 4 + 2]]; s.set(sx, sy, sz); } else { const sx = lerp(scales.mins[0], scales.maxs[0], scales_data[i * 4 + 0] / 255); const sy = lerp(scales.mins[1], scales.maxs[1], scales_data[i * 4 + 1] / 255); const sz = lerp(scales.mins[2], scales.maxs[2], scales_data[i * 4 + 2] / 255); s.set(sx, sy, sz); } } if (c) { if (meta.version === 2) { const r2 = sh0.codebook[sh0_data[i * 4 + 0]]; const g = sh0.codebook[sh0_data[i * 4 + 1]]; const b = sh0.codebook[sh0_data[i * 4 + 2]]; const a = sh0_data[i * 4 + 3] / 255; c.set( 0.5 + r2 * SH_C0, 0.5 + g * SH_C0, 0.5 + b * SH_C0, a ); } else { const r2 = lerp(sh0.mins[0], sh0.maxs[0], sh0_data[i * 4 + 0] / 255); const g = lerp(sh0.mins[1], sh0.maxs[1], sh0_data[i * 4 + 1] / 255); const b = lerp(sh0.mins[2], sh0.maxs[2], sh0_data[i * 4 + 2] / 255); const a = lerp(sh0.mins[3], sh0.maxs[3], sh0_data[i * 4 + 3] / 255); c.set( 0.5 + r2 * SH_C0, 0.5 + g * SH_C0, 0.5 + b * SH_C0, 1 / (1 + Math.exp(-a)) ); } } if (sh) { const n = sh_labels_data[i * 4 + 0] + (sh_labels_data[i * 4 + 1] << 8); const u = n % 64 * coeffs; const v = Math.floor(n / 64); if (meta.version === 2) { for (let j = 0; j < 3; ++j) { for (let k = 0; k < coeffs; ++k) { sh[j * 15 + k] = shN.codebook[sh_centroids_data[(u + k) * 4 + j + v * data.sh_centroids.width * 4]]; } } } else { for (let j = 0; j < 3; ++j) { for (let k = 0; k < coeffs; ++k) { sh[j * 15 + k] = lerp(shN.mins, shN.maxs, sh_centroids_data[(u + k) * 4 + j + v * data.sh_centroids.width * 4] / 255); } } } } }; } } class GSplatSogData { meta; numSplats; means_l; means_u; quats; scales; sh0; sh_centroids; sh_labels; codebookTexture = null; url = ""; _centers = null; // Marked when resource is destroyed, to abort any in-flight async preparation destroyed = false; shBands = 0; _destroyGpuResources() { this.means_l?.destroy(); this.means_u?.destroy(); this.quats?.destroy(); this.scales?.destroy(); this.sh0?.destroy(); this.sh_centroids?.destroy(); this.sh_labels?.destroy(); this.codebookTexture?.destroy(); this.codebookTexture = null; } // calculate the number of bands given the centroids texture width static calcBands(centroidsWidth) { const shBandsWidths = { 192: 1, 512: 2, 960: 3 }; return shBandsWidths[centroidsWidth] ?? 0; } destroy() { this.destroyed = true; this._destroyGpuResources(); } createIter(p, r, s, c, sh) { return new GSplatSogIterator(this, p, r, s, c, sh); } calcAabb(result) { const { mins, maxs } = this.meta.means; const map = (v) => Math.sign(v) * (Math.exp(Math.abs(v)) - 1); result.center.set( (map(mins[0]) + map(maxs[0])) * 0.5, (map(mins[1]) + map(maxs[1])) * 0.5, (map(mins[2]) + map(maxs[2])) * 0.5 ); result.halfExtents.set( (map(maxs[0]) - map(mins[0])) * 0.5, (map(maxs[1]) - map(mins[1])) * 0.5, (map(maxs[2]) - map(mins[2])) * 0.5 ); } getCenters() { const centers = this._centers; this._centers = null; return centers; } // use bound center for focal point calcFocalPoint(result, pred) { const { mins, maxs } = this.meta.means; const map = (v) => Math.sign(v) * (Math.exp(Math.abs(v)) - 1); result.set( (map(mins[0]) + map(maxs[0])) * 0.5, (map(mins[1]) + map(maxs[1])) * 0.5, (map(mins[2]) + map(maxs[2])) * 0.5 ); } get isSog() { return true; } async decompress() { const members = [ "x", "y", "z", "f_dc_0", "f_dc_1", "f_dc_2", "opacity", "scale_0", "scale_1", "scale_2", "rot_0", "rot_1", "rot_2", "rot_3" ]; this._patchCodebooks(); const { shBands } = this; const { means_l, means_u, quats, scales, sh0, sh_labels, sh_centroids } = this; means_l._levels[0] = await readImageDataAsync(means_l); means_u._levels[0] = await readImageDataAsync(means_u); quats._levels[0] = await readImageDataAsync(quats); scales._levels[0] = await readImageDataAsync(scales); sh0._levels[0] = await readImageDataAsync(sh0); if (shBands > 0) { sh_labels._levels[0] = await readImageDataAsync(sh_labels); sh_centroids._levels[0] = await readImageDataAsync(sh_centroids); const shMembers = []; for (let i = 0; i < 45; ++i) { shMembers.push(`f_rest_${i}`); } members.splice(members.indexOf("f_dc_0") + 1, 0, ...shMembers); } const data = {}; members.forEach((name) => { data[name] = new Float32Array(this.numSplats); }); const p = new Vec3(); const r = new Quat(); const s = new Vec3(); const c = new Vec4(); const sh = shBands > 0 ? new Float32Array(45) : null; const iter = this.createIter(p, r, s, c, sh); for (let i = 0; i < this.numSplats; ++i) { iter.read(i); data.x[i] = p.x; data.y[i] = p.y; data.z[i] = p.z; data.rot_1[i] = r.x; data.rot_2[i] = r.y; data.rot_3[i] = r.z; data.rot_0[i] = r.w; data.scale_0[i] = s.x; data.scale_1[i] = s.y; data.scale_2[i] = s.z; data.f_dc_0[i] = (c.x - 0.5) / SH_C0; data.f_dc_1[i] = (c.y - 0.5) / SH_C0; data.f_dc_2[i] = (c.z - 0.5) / SH_C0; data.opacity[i] = c.w <= 0 ? -40 : c.w >= 1 ? 40 : -Math.log(1 / c.w - 1); if (sh) { for (let c2 = 0; c2 < 45; ++c2) { data[`f_rest_${c2}`][i] = sh[c2]; } } } return new GSplatData([{ name: "vertex", count: this.numSplats, properties: members.map((name) => { return { name, type: "float", byteSize: 4, storage: data[name] }; }) }]); } async generateCenters() { const { device, width, height } = this.means_l; const { scope } = device; const centersTexture = new Texture(device, { name: "sogCentersTexture", width, height, format: PIXELFORMAT_RGBA32U, mipmaps: false }); const shader = ShaderUtils.createShader(device, { uniqueName: "GsplatSogCentersShader", attributes: { vertex_position: SEMANTIC_POSITION }, vertexChunk: "fullscreenQuadVS", fragmentGLSL: glslSogCentersPS, fragmentWGSL: wgslSogCentersPS, fragmentOutputTypes: ["uvec4"] }); const renderTarget = new RenderTarget({ colorBuffer: centersTexture, depth: false, mipLevel: 0 }); resolve(scope, { means_l: this.means_l, means_u: this.means_u, numSplats: this.numSplats, means_mins: this.meta.means.mins, means_maxs: this.meta.means.maxs }); const quad = new QuadRender(shader); const renderPass = new RenderPassQuad(device, quad); renderPass.name = "SogGenerateCenters"; renderPass.init(renderTarget); renderPass.colorOps.clear = false; renderPass.depthStencilOps.clearDepth = false; renderPass.render(); quad.destroy(); renderTarget.destroy(); const u32 = await readImageDataAsync(centersTexture); if (this.destroyed || device._destroyed) { centersTexture.destroy(); return; } const asFloat = new Float32Array(u32.buffer); const result = new Float32Array(this.numSplats * 3); for (let i = 0; i < this.numSplats; i++) { const base = i * 4; result[i * 3 + 0] = asFloat[base + 0]; result[i * 3 + 1] = asFloat[base + 1]; result[i * 3 + 2] = asFloat[base + 2]; } this._centers = result; centersTexture.destroy(); } _createCodebookTexture() { const device = this.means_l.device; const { scales, sh0, shN } = this.meta; const scalesCb = scales.codebook; const sh0Cb = sh0.codebook; const shNCb = shN?.codebook; const data = new Float32Array(256 * 4); for (let i = 0; i < 256; i++) data[i * 4] = scalesCb[i]; for (let i = 0; i < 256; i++) data[i * 4 + 1] = sh0Cb[i]; if (shNCb) { for (let i = 0; i < 256; i++) data[i * 4 + 2] = shNCb[i]; } const urlSuffix = this.url ? `_${this.url}` : ""; this.codebookTexture = new Texture(device, { name: `sogCodebook${urlSuffix}`, width: 256, height: 1, format: PIXELFORMAT_RGBA32F, mipmaps: false, minFilter: FILTER_NEAREST, magFilter: FILTER_NEAREST, addressU: ADDRESS_CLAMP_TO_EDGE, addressV: ADDRESS_CLAMP_TO_EDGE, levels: [data] }); } _patchCodebooks() { ["scales", "sh0", "shN"].forEach((name) => { const codebook = this.meta[name]?.codebook; if (codebook?.[0] === null) { codebook[0] = codebook[1] + (codebook[1] - codebook[255]) / 255; } }); } prepareCodebook() { const device = this.means_l?.device; if (this.destroyed || !device || device._destroyed) return; this._patchCodebooks(); if (this.meta.version === 2) { this._createCodebookTexture(); } } async prepareGpuData() { const device = this.means_l?.device; if (this.destroyed || !device || device._destroyed) return; await this.generateCenters(); } } export { GSplatSogData };