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const LINE_ANGLE_THRESHOLD = Math.PI / 6
const VECTOR_LEN_THRESHOLD_FRACTION = 0.3
const RECT_MATRIX_SIZE = 3
const RECT_MATRIX_CENTER_RATIO = 0.65
const RECT_THRESHOLD_CENTER = 0
const RECT_THRESHOLD_SIDE_VARIANCE = 0.25
const MIN_RECT_POINTS = 4
const MIN_LINE_POINTS = 2
function getDistance(p1, p2) {
if (!(p1 && p2)) return 0
const [[x0, y0], [x1, y1]] = [p1, p2]
function vectorLen(v) {
const [x, y] = v
return Math.hypot(x, y)
}
function diffVector([x0, y0], [x1, y1]) {
return [x0 - x1, y0 - y1]
}
function angleBetweenVectors(p1, p2) {
const [[x0, y0], [x1, y1]] = [p1, p2]
return Math.acos((x0 * x1 + y0 * y1) / (vectorLen(p1) * vectorLen(p2)))
function boundingCoords(points) {
const xs = points.map((p) => p[0])
const ys = points.map((p) => p[1])
return {
maxX: Math.max(...xs),
minX: Math.min(...xs),
maxY: Math.max(...ys),
minY: Math.min(...ys),
const centerSegmentSize = d * RECT_MATRIX_CENTER_RATIO
const smallStep = (d - centerSegmentSize) / 2
const p = [min + smallStep, min + smallStep + centerSegmentSize, max]
return p
}
function getCluster([x, y], xBounds, yBounds) {
return {
x: xBounds.findIndex((bound) => x <= bound),
y: yBounds.findIndex((bound) => y <= bound),
}
}
function computeClusters(points, xBounds, yBounds) {
const clusters = Array(RECT_MATRIX_SIZE)
const intervals = points.map((point, i) => ({
point,
dist: getDistance(point, points[i + 1]),
}))
intervals.forEach((interval) => {
const { x, y } = getCluster(interval.point, xBounds, yBounds)
clusters[x][y].arr.push(interval)
clusters[x][y].sum += interval.dist
totalSum += interval.dist
function clusterCoefficients(clusters) {
return clusters.arr.map((rowCluster) =>
rowCluster.map((cluster) => cluster.sum / clusters.totalSum),
export function computeMatrixCoefficients(points, boundingRect) {
const { maxX, minX, maxY, minY } = boundingRect
const xBounds = matrixBoundsArray(minX, maxX)
const yBounds = matrixBoundsArray(minY, maxY)
const clusters = computeClusters(points, xBounds, yBounds)
const coefficients = clusterCoefficients(clusters, points)
return coefficients
}
function couldBeRect(points) {
if (points.length < MIN_RECT_POINTS) return false
const boundingRect = boundingCoords(points)
const matrixCoefficients = computeMatrixCoefficients(points, boundingRect)
let [maxC, minC] = [0, 1]
for (let i = 0; i < RECT_MATRIX_SIZE; i++) {
for (let j = 0; j < RECT_MATRIX_SIZE; j++) {
if (!(i === j && j === 1)) {
maxC = Math.max(maxC, matrixCoefficients[i][j])
minC = Math.min(minC, matrixCoefficients[i][j])
}
}
}
if (
matrixCoefficients[1][1] <= RECT_THRESHOLD_CENTER &&
maxC - minC < RECT_THRESHOLD_SIDE_VARIANCE
return { coefficients: matrixCoefficients, boundingRect }
if (points.length < MIN_LINE_POINTS) return false
const vectorThreshold = Math.floor(
points.length * VECTOR_LEN_THRESHOLD_FRACTION,
)
const pivot = points[0]
let cumulativeThreshold = 0
for (let i = 2; i < points.length; i++) {
const prev = points[i - 1]
const curr = points[i]
const d1 = diffVector(pivot, prev)
const d2 = diffVector(prev, curr)
const angle = angleBetweenVectors(d1, d2)
if (Math.abs(angle) > LINE_ANGLE_THRESHOLD) {
if (cumulativeThreshold < vectorThreshold && d2Len < vectorThreshold) {
cumulativeThreshold += d2Len
continue
}
return false
}
}
return true
}
function recognizedRect(_, rectDetectionData) {
const { minX, minY, maxX, maxY } = rectDetectionData.boundingRect
return {
boundingPoints: [
[minX, minY],
[minX, maxY],
[maxX, maxY],
[maxX, minY],
[minX, minY],
],
shape: Shapes.rectangle,
}
function recognizedLine(points) {
const [p1, p2] = [points[0], points[points.length - 1]]
return {
shape: Shapes.line,
// Take only [x, y] from the whole point tuple
lastPoint: p2.slice(0, 2),
firstPoint: p1.slice(0, 2),
function recognizeFromPoints(points) {
const rectDetectData = couldBeRect(points)
if (rectDetectData) {
return recognizedRect(points, rectDetectData)
} else if (couldBeLine(points)) {
return recognizedLine(points)
}
return {}
}