Implement complete modularization of reader code by separating format-specific functionality into dedicated modules. This replaces the monolithic structure with a clean, maintainable architecture that separates concerns by format type. ## New Architecture ### Format-Specific Modules - **formats/reflowable/**: EPUB, FB2, TXT, HTML (page-based pagination) - types.ts: Shared type definitions for reflowable formats - page-calculator.ts: Word-count based pagination with HTML slicing - navigation.ts: Page-based navigation logic - progress-tracker.ts: CFI-based progress tracking - content-renderer.ts: DOM rendering for page content - parser.ts: Unified parser interface for all reflowable formats - ebook/**: Migrated ebook-specific features - **formats/pdf/**: PDF format support - Core PDF functionality (navigation, text selection, annotations) - Advanced features (bookmarks, search, outlines, dual-page) - Page cache and rendering optimizations - **formats/comic/**: Comic format support - Background color, chapter markers, page caching - Page ordering, gap adjustments - **formats/manga/**: Manga format support - RTL navigation, vertical scrolling, reading direction ## Key Improvements 1. **Separation of Concerns**: Each format has its own dedicated module 2. **No Circular Dependencies**: Clean import structure 3. **Type Safety**: Comprehensive TypeScript types throughout 4. **Functional Programming**: Pure functions, no OOP complexity 5. **Scalability**: Easy to add new formats without touching core code ## Migration Path - Old format-specific code in reader/, ebook/, pdf/, comic/, manga/ - New code in formats/[format]/ structure - Maintains backward compatibility during transition - Core reader logic remains format-agnostic This change enables the implementation of page-based pagination for reflowable formats while keeping PDF, comic, and manga functionality unchanged.
114 lines
2.8 KiB
TypeScript
114 lines
2.8 KiB
TypeScript
// OpenCV.js-based edge detection for panel boundaries
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interface Panel {
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id: string;
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x: number;
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y: number;
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width: number;
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height: number;
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reading_order: number;
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}
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let openCVLoaded = false;
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async function loadOpenCV(): Promise<void> {
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if (openCVLoaded) return;
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// OpenCV.js loads asynchronously and registers globally
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await import("@techstark/opencv-js");
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// Wait for OpenCV to be ready
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return new Promise<void>((resolve) => {
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const check = () => {
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if ((window as any).cv && (window as any).cv.Mat) {
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openCVLoaded = true;
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resolve();
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} else {
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setTimeout(check, 50);
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}
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};
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check();
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});
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}
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async function detectPanelsOpenCV(imageData: ImageData): Promise<Panel[]> {
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await loadOpenCV();
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const cv = (window as any).cv;
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// Create matrices from ImageData
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const src = cv.matFromImageData(imageData);
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const gray = new cv.Mat();
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const blurred = new cv.Mat();
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const edges = new cv.Mat();
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const contours = new cv.Mat();
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const hierarchy = new cv.Mat();
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try {
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// Convert to grayscale
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cv.cvtColor(src, gray, cv.COLOR_RGBA2GRAY, 0);
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// Apply Gaussian blur to reduce noise
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cv.GaussianBlur(gray, blurred, new cv.Size(5, 5), 0, 0, cv.BORDER_DEFAULT);
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// Detect edges using Canny
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cv.Canny(blurred, edges, 50, 150, 3, false);
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// Find contours
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cv.findContours(
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edges,
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contours,
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hierarchy,
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cv.RETR_EXTERNAL,
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cv.CHAIN_APPROX_SIMPLE,
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);
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// Convert contours to panels
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const panels: Panel[] = [];
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const imgWidth = imageData.width;
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const imgHeight = imageData.height;
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for (let i = 0; i < contours.size(); i++) {
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const rect = cv.boundingRect(contours.get(i));
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const aspectRatio = rect.width / rect.height;
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// Filter: reject very small or very thin contours
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const minSize = Math.min(imgWidth, imgHeight) * 0.05;
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if (rect.width < minSize || rect.height < minSize) continue;
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if (aspectRatio < 0.1 || aspectRatio > 10) continue;
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panels.push({
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id: `opencv-panel-${i}`,
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x: (rect.x / imgWidth) * 100,
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y: (rect.y / imgHeight) * 100,
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width: (rect.width / imgWidth) * 100,
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height: (rect.height / imgHeight) * 100,
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reading_order: i,
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});
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}
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// Sort panels by reading order (top-left to bottom-right)
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panels.sort((a, b) => {
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const rowA = Math.floor(a.y / 25);
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const rowB = Math.floor(b.y / 25);
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if (rowA !== rowB) return rowA - rowB;
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return a.x - b.x;
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});
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// Reassign reading order after sorting
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panels.forEach((p, i) => (p.reading_order = i));
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return panels;
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} finally {
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// Clean up OpenCV matrices
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src.delete();
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gray.delete();
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blurred.delete();
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edges.delete();
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contours.delete();
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hierarchy.delete();
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}
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}
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export { detectPanelsOpenCV, loadOpenCV };
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