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feat(web): show ocr text boxes in panoramas (#25727)
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@@ -12,70 +12,58 @@ const getContainedSize = (img: HTMLImageElement): { width: number; height: numbe
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return { width, height };
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};
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export type Point = {
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x: number;
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y: number;
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};
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export interface OcrBox {
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id: string;
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points: { x: number; y: number }[];
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points: Point[];
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text: string;
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confidence: number;
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}
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export interface BoundingBoxDimensions {
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minX: number;
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maxX: number;
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minY: number;
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maxY: number;
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width: number;
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height: number;
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centerX: number;
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centerY: number;
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rotation: number;
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skewX: number;
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skewY: number;
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}
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/**
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* Calculate bounding box dimensions and properties from OCR points
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* Calculate bounding box transform from OCR points. Result matrix can be used as input for css matrix3d.
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* @param points - Array of 4 corner points of the bounding box
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* @returns Dimensions, rotation, and skew values for the bounding box
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* @returns 4x4 matrix to transform the div with text onto the polygon defined by the corner points, and size to set on the source div.
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*/
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export const calculateBoundingBoxDimensions = (points: { x: number; y: number }[]): BoundingBoxDimensions => {
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export const calculateBoundingBoxMatrix = (points: Point[]): { matrix: number[]; width: number; height: number } => {
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const [topLeft, topRight, bottomRight, bottomLeft] = points;
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const minX = Math.min(...points.map(({ x }) => x));
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const maxX = Math.max(...points.map(({ x }) => x));
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const minY = Math.min(...points.map(({ y }) => y));
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const maxY = Math.max(...points.map(({ y }) => y));
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const width = maxX - minX;
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const height = maxY - minY;
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const centerX = (minX + maxX) / 2;
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const centerY = (minY + maxY) / 2;
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// Calculate rotation angle from the bottom edge (bottomLeft to bottomRight)
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const rotation = Math.atan2(bottomRight.y - bottomLeft.y, bottomRight.x - bottomLeft.x) * (180 / Math.PI);
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// Approximate width and height to prevent text distortion as much as possible
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const distance = (p1: Point, p2: Point) => Math.hypot(p2.x - p1.x, p2.y - p1.y);
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const width = Math.max(distance(topLeft, topRight), distance(bottomLeft, bottomRight));
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const height = Math.max(distance(topLeft, bottomLeft), distance(topRight, bottomRight));
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// Calculate skew angles to handle perspective distortion
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// SkewX: compare left and right edges
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const leftEdgeAngle = Math.atan2(bottomLeft.y - topLeft.y, bottomLeft.x - topLeft.x);
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const rightEdgeAngle = Math.atan2(bottomRight.y - topRight.y, bottomRight.x - topRight.x);
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const skewX = (rightEdgeAngle - leftEdgeAngle) * (180 / Math.PI);
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const dx1 = topRight.x - bottomRight.x;
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const dx2 = bottomLeft.x - bottomRight.x;
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const dx3 = topLeft.x - topRight.x + bottomRight.x - bottomLeft.x;
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// SkewY: compare top and bottom edges
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const topEdgeAngle = Math.atan2(topRight.y - topLeft.y, topRight.x - topLeft.x);
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const bottomEdgeAngle = Math.atan2(bottomRight.y - bottomLeft.y, bottomRight.x - bottomLeft.x);
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const skewY = (bottomEdgeAngle - topEdgeAngle) * (180 / Math.PI);
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const dy1 = topRight.y - bottomRight.y;
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const dy2 = bottomLeft.y - bottomRight.y;
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const dy3 = topLeft.y - topRight.y + bottomRight.y - bottomLeft.y;
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return {
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minX,
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maxX,
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minY,
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maxY,
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width,
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height,
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centerX,
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centerY,
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rotation,
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skewX,
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skewY,
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};
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const det = dx1 * dy2 - dx2 * dy1;
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const a13 = (dx3 * dy2 - dx2 * dy3) / det;
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const a23 = (dx1 * dy3 - dx3 * dy1) / det;
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const a11 = (1 + a13) * topRight.x - topLeft.x;
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const a21 = (1 + a23) * bottomLeft.x - topLeft.x;
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const a12 = (1 + a13) * topRight.y - topLeft.y;
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const a22 = (1 + a23) * bottomLeft.y - topLeft.y;
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// prettier-ignore
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const matrix = [
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a11 / width, a12 / width, 0, a13 / width,
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a21 / height, a22 / height, 0, a23 / height,
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0, 0, 1, 0,
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topLeft.x, topLeft.y, 0, 1,
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];
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return { matrix, width, height };
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};
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/**
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@@ -87,18 +75,32 @@ export const getOcrBoundingBoxes = (
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zoom: ZoomImageWheelState,
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photoViewer: HTMLImageElement | null,
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): OcrBox[] => {
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const boxes: OcrBox[] = [];
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if (photoViewer === null || !photoViewer.naturalWidth || !photoViewer.naturalHeight) {
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return boxes;
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return [];
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}
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const clientHeight = photoViewer.clientHeight;
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const clientWidth = photoViewer.clientWidth;
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const { width, height } = getContainedSize(photoViewer);
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const imageWidth = photoViewer.naturalWidth;
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const imageHeight = photoViewer.naturalHeight;
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const offset = {
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x: ((clientWidth - width) / 2) * zoom.currentZoom + zoom.currentPositionX,
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y: ((clientHeight - height) / 2) * zoom.currentZoom + zoom.currentPositionY,
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};
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return getOcrBoundingBoxesAtSize(
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ocrData,
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{ width: width * zoom.currentZoom, height: height * zoom.currentZoom },
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offset,
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);
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};
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export const getOcrBoundingBoxesAtSize = (
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ocrData: OcrBoundingBox[],
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targetSize: { width: number; height: number },
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offset?: Point,
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) => {
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const boxes: OcrBox[] = [];
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for (const ocr of ocrData) {
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// Convert normalized coordinates (0-1) to actual pixel positions
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@@ -109,14 +111,8 @@ export const getOcrBoundingBoxes = (
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{ x: ocr.x3, y: ocr.y3 },
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{ x: ocr.x4, y: ocr.y4 },
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].map((point) => ({
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x:
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(width / imageWidth) * zoom.currentZoom * point.x * imageWidth +
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((clientWidth - width) / 2) * zoom.currentZoom +
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zoom.currentPositionX,
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y:
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(height / imageHeight) * zoom.currentZoom * point.y * imageHeight +
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((clientHeight - height) / 2) * zoom.currentZoom +
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zoom.currentPositionY,
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x: targetSize.width * point.x + (offset?.x ?? 0),
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y: targetSize.height * point.y + (offset?.y ?? 0),
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}));
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boxes.push({
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