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feat: add Python ML services (CPU mode) with model download
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import { Vector3 } from './Vector3.js';
const _v0 = /*@__PURE__*/ new Vector3();
const _v1 = /*@__PURE__*/ new Vector3();
const _v2 = /*@__PURE__*/ new Vector3();
const _v3 = /*@__PURE__*/ new Vector3();
const _vab = /*@__PURE__*/ new Vector3();
const _vac = /*@__PURE__*/ new Vector3();
const _vbc = /*@__PURE__*/ new Vector3();
const _vap = /*@__PURE__*/ new Vector3();
const _vbp = /*@__PURE__*/ new Vector3();
const _vcp = /*@__PURE__*/ new Vector3();
class Triangle {
constructor(a = new Vector3(), b = new Vector3(), c = new Vector3()) {
this.a = a;
this.b = b;
this.c = c;
}
static getNormal(a, b, c, target) {
target.subVectors(c, b);
_v0.subVectors(a, b);
target.cross(_v0);
const targetLengthSq = target.lengthSq();
if (targetLengthSq > 0) {
return target.multiplyScalar(1 / Math.sqrt(targetLengthSq));
}
return target.set(0, 0, 0);
}
// static/instance method to calculate barycentric coordinates
// based on: http://www.blackpawn.com/texts/pointinpoly/default.html
static getBarycoord(point, a, b, c, target) {
_v0.subVectors(c, a);
_v1.subVectors(b, a);
_v2.subVectors(point, a);
const dot00 = _v0.dot(_v0);
const dot01 = _v0.dot(_v1);
const dot02 = _v0.dot(_v2);
const dot11 = _v1.dot(_v1);
const dot12 = _v1.dot(_v2);
const denom = dot00 * dot11 - dot01 * dot01;
// collinear or singular triangle
if (denom === 0) {
// arbitrary location outside of triangle?
// not sure if this is the best idea, maybe should be returning undefined
return target.set(-2, -1, -1);
}
const invDenom = 1 / denom;
const u = (dot11 * dot02 - dot01 * dot12) * invDenom;
const v = (dot00 * dot12 - dot01 * dot02) * invDenom;
// barycentric coordinates must always sum to 1
return target.set(1 - u - v, v, u);
}
static containsPoint(point, a, b, c) {
this.getBarycoord(point, a, b, c, _v3);
return _v3.x >= 0 && _v3.y >= 0 && _v3.x + _v3.y <= 1;
}
static getUV(point, p1, p2, p3, uv1, uv2, uv3, target) {
this.getBarycoord(point, p1, p2, p3, _v3);
target.set(0, 0);
target.addScaledVector(uv1, _v3.x);
target.addScaledVector(uv2, _v3.y);
target.addScaledVector(uv3, _v3.z);
return target;
}
static isFrontFacing(a, b, c, direction) {
_v0.subVectors(c, b);
_v1.subVectors(a, b);
// strictly front facing
return _v0.cross(_v1).dot(direction) < 0 ? true : false;
}
set(a, b, c) {
this.a.copy(a);
this.b.copy(b);
this.c.copy(c);
return this;
}
setFromPointsAndIndices(points, i0, i1, i2) {
this.a.copy(points[i0]);
this.b.copy(points[i1]);
this.c.copy(points[i2]);
return this;
}
setFromAttributeAndIndices(attribute, i0, i1, i2) {
this.a.fromBufferAttribute(attribute, i0);
this.b.fromBufferAttribute(attribute, i1);
this.c.fromBufferAttribute(attribute, i2);
return this;
}
clone() {
return new this.constructor().copy(this);
}
copy(triangle) {
this.a.copy(triangle.a);
this.b.copy(triangle.b);
this.c.copy(triangle.c);
return this;
}
getArea() {
_v0.subVectors(this.c, this.b);
_v1.subVectors(this.a, this.b);
return _v0.cross(_v1).length() * 0.5;
}
getMidpoint(target) {
return target
.addVectors(this.a, this.b)
.add(this.c)
.multiplyScalar(1 / 3);
}
getNormal(target) {
return Triangle.getNormal(this.a, this.b, this.c, target);
}
getPlane(target) {
return target.setFromCoplanarPoints(this.a, this.b, this.c);
}
getBarycoord(point, target) {
return Triangle.getBarycoord(point, this.a, this.b, this.c, target);
}
getUV(point, uv1, uv2, uv3, target) {
return Triangle.getUV(point, this.a, this.b, this.c, uv1, uv2, uv3, target);
}
containsPoint(point) {
return Triangle.containsPoint(point, this.a, this.b, this.c);
}
isFrontFacing(direction) {
return Triangle.isFrontFacing(this.a, this.b, this.c, direction);
}
intersectsBox(box) {
return box.intersectsTriangle(this);
}
closestPointToPoint(p, target) {
const a = this.a,
b = this.b,
c = this.c;
let v, w;
// algorithm thanks to Real-Time Collision Detection by Christer Ericson,
// published by Morgan Kaufmann Publishers, (c) 2005 Elsevier Inc.,
// under the accompanying license; see chapter 5.1.5 for detailed explanation.
// basically, we're distinguishing which of the voronoi regions of the triangle
// the point lies in with the minimum amount of redundant computation.
_vab.subVectors(b, a);
_vac.subVectors(c, a);
_vap.subVectors(p, a);
const d1 = _vab.dot(_vap);
const d2 = _vac.dot(_vap);
if (d1 <= 0 && d2 <= 0) {
// vertex region of A; barycentric coords (1, 0, 0)
return target.copy(a);
}
_vbp.subVectors(p, b);
const d3 = _vab.dot(_vbp);
const d4 = _vac.dot(_vbp);
if (d3 >= 0 && d4 <= d3) {
// vertex region of B; barycentric coords (0, 1, 0)
return target.copy(b);
}
const vc = d1 * d4 - d3 * d2;
if (vc <= 0 && d1 >= 0 && d3 <= 0) {
v = d1 / (d1 - d3);
// edge region of AB; barycentric coords (1-v, v, 0)
return target.copy(a).addScaledVector(_vab, v);
}
_vcp.subVectors(p, c);
const d5 = _vab.dot(_vcp);
const d6 = _vac.dot(_vcp);
if (d6 >= 0 && d5 <= d6) {
// vertex region of C; barycentric coords (0, 0, 1)
return target.copy(c);
}
const vb = d5 * d2 - d1 * d6;
if (vb <= 0 && d2 >= 0 && d6 <= 0) {
w = d2 / (d2 - d6);
// edge region of AC; barycentric coords (1-w, 0, w)
return target.copy(a).addScaledVector(_vac, w);
}
const va = d3 * d6 - d5 * d4;
if (va <= 0 && d4 - d3 >= 0 && d5 - d6 >= 0) {
_vbc.subVectors(c, b);
w = (d4 - d3) / (d4 - d3 + (d5 - d6));
// edge region of BC; barycentric coords (0, 1-w, w)
return target.copy(b).addScaledVector(_vbc, w); // edge region of BC
}
// face region
const denom = 1 / (va + vb + vc);
// u = va * denom
v = vb * denom;
w = vc * denom;
return target.copy(a).addScaledVector(_vab, v).addScaledVector(_vac, w);
}
equals(triangle) {
return triangle.a.equals(this.a) && triangle.b.equals(this.b) && triangle.c.equals(this.c);
}
}
export { Triangle };