diff --git a/.gitignore b/.gitignore index 4d29575de80483b005c29bfcac5061cd2f45313e..5ef6a520780202a1d6addd833d800ccb1ecac0bb 100644 --- a/.gitignore +++ b/.gitignore @@ -3,21 +3,39 @@ # dependencies /node_modules /.pnp -.pnp.js +.pnp.* +.yarn/* +!.yarn/patches +!.yarn/plugins +!.yarn/releases +!.yarn/versions # testing /coverage +# next.js +/.next/ +/out/ + # production /build # misc .DS_Store -.env.local -.env.development.local -.env.test.local -.env.production.local +*.pem +# debug npm-debug.log* yarn-debug.log* yarn-error.log* +.pnpm-debug.log* + +# env files (can opt-in for committing if needed) +.env* + +# vercel +.vercel + +# typescript +*.tsbuildinfo +next-env.d.ts diff --git a/AGENTS.md b/AGENTS.md new file mode 100644 index 0000000000000000000000000000000000000000..643577dfaef36ee8032915ef80a0f0638f7beda0 --- /dev/null +++ b/AGENTS.md @@ -0,0 +1,9 @@ + + +# This is NOT the Next.js you know + +This version has breaking changes β€” APIs, conventions, and file structure may all differ from your training data. Read the relevant guide in `node_modules/next/dist/docs/` (resolved from this file's directory; in monorepos the `next` package may not be visible from the repo root) before writing any code. Heed deprecation notices. + +This block is written and re-added by `next dev` β€” verify at `node_modules/next/dist/server/lib/generate-agent-files.js`. Removing it from a diff only re-creates the uncommitted change; committing it with your work keeps the tree clean. + + diff --git a/CLAUDE.md b/CLAUDE.md new file mode 100644 index 0000000000000000000000000000000000000000..43c994c2d3617f947bcb5adf1933e21dabe46bb5 --- /dev/null +++ b/CLAUDE.md @@ -0,0 +1 @@ +@AGENTS.md diff --git a/README.md b/README.md index 103e2daa336b57370974518024029c9d3e357aa2..e49c5062330db39f121390bb804a332ec910f288 100644 --- a/README.md +++ b/README.md @@ -1,81 +1,155 @@ ---- -title: Kernel Convolution Visualizer -emoji: 🐠 -colorFrom: indigo -colorTo: red -sdk: static -pinned: false -app_build_command: npm run build -app_file: build/index.html ---- - -# Getting Started with Create React App - -This project was bootstrapped with [Create React App](https://github.com/facebook/create-react-app). - -## Available Scripts - -In the project directory, you can run: - -### `npm start` - -Runs the app in the development mode.\ -Open [http://localhost:3000](http://localhost:3000) to view it in your browser. - -The page will reload when you make changes.\ -You may also see any lint errors in the console. - -### `npm test` - -Launches the test runner in the interactive watch mode.\ -See the section about [running tests](https://facebook.github.io/create-react-app/docs/running-tests) for more information. - -### `npm run build` - -Builds the app for production to the `build` folder.\ -It correctly bundles React in production mode and optimizes the build for the best performance. - -The build is minified and the filenames include the hashes.\ -Your app is ready to be deployed! - -See the section about [deployment](https://facebook.github.io/create-react-app/docs/deployment) for more information. - -### `npm run eject` - -**Note: this is a one-way operation. Once you `eject`, you can't go back!** - -If you aren't satisfied with the build tool and configuration choices, you can `eject` at any time. This command will remove the single build dependency from your project. - -Instead, it will copy all the configuration files and the transitive dependencies (webpack, Babel, ESLint, etc) right into your project so you have full control over them. All of the commands except `eject` will still work, but they will point to the copied scripts so you can tweak them. At this point you're on your own. - -You don't have to ever use `eject`. The curated feature set is suitable for small and middle deployments, and you shouldn't feel obligated to use this feature. However we understand that this tool wouldn't be useful if you couldn't customize it when you are ready for it. - -## Learn More - -You can learn more in the [Create React App documentation](https://facebook.github.io/create-react-app/docs/getting-started). - -To learn React, check out the [React documentation](https://reactjs.org/). - -### Code Splitting - -This section has moved here: [https://facebook.github.io/create-react-app/docs/code-splitting](https://facebook.github.io/create-react-app/docs/code-splitting) - -### Analyzing the Bundle Size - -This section has moved here: [https://facebook.github.io/create-react-app/docs/analyzing-the-bundle-size](https://facebook.github.io/create-react-app/docs/analyzing-the-bundle-size) - -### Making a Progressive Web App - -This section has moved here: [https://facebook.github.io/create-react-app/docs/making-a-progressive-web-app](https://facebook.github.io/create-react-app/docs/making-a-progressive-web-app) - -### Advanced Configuration - -This section has moved here: [https://facebook.github.io/create-react-app/docs/advanced-configuration](https://facebook.github.io/create-react-app/docs/advanced-configuration) - -### Deployment - -This section has moved here: [https://facebook.github.io/create-react-app/docs/deployment](https://facebook.github.io/create-react-app/docs/deployment) - -### `npm run build` fails to minify - -This section has moved here: [https://facebook.github.io/create-react-app/docs/troubleshooting#npm-run-build-fails-to-minify](https://facebook.github.io/create-react-app/docs/troubleshooting#npm-run-build-fails-to-minify) +# Interactive Kernel Convolution Visualizer + +An educational web application that demonstrates how image convolution works in real-time. Upload any image, choose from predefined kernels or create your own, and watch the convolution process step-by-step with detailed mathematical visualization. + +## Features + +### Core Visualization +- **Step-by-step convolution animation** - Watch the kernel matrix move across the image pixel by pixel +- **Real-time mathematical display** - See element-wise multiplication and summation for each output pixel +- **Current patch highlighting** - Visual indication of the image region under the kernel +- **Progressive output rendering** - Output image builds up as computation completes + +### Kernel Library +- **Blur Filters**: Box Blur (3Γ—3, 5Γ—5), Gaussian Blur (3Γ—3, 5Γ—5) +- **Sharpen Filters**: Standard Sharpen, Strong Sharpen, Unsharp Mask +- **Edge Detection**: Sobel X/Y/Combined, Prewitt, Roberts Cross, Laplacian +- **Emboss**: Multiple directional emboss effects +- **Special Effects**: Motion Blur, Outline, Ridge Detection +- **Custom Kernel Builder**: Create your own kernels (3Γ—3 to 9Γ—9) + +### Interactive Controls +- Play, Pause, Step Forward, Stop, Reset +- Adjustable animation speed (0.1x - 10x) +- Zoom and pan for pixel-level inspection +- Step mode for manual frame-by-frame advancement + +### Comparison & Analysis +- Side-by-side original vs processed view +- Split-view slider with draggable divider +- Synchronized zoom/pan between views +- Multiple kernel comparison tabs + +### Educational Features +- Real-time convolution equation with current values +- Kernel purpose and effect descriptions +- Padding strategy visualization (Zero, Reflect, Replicate, Wrap) +- Channel-wise processing explanation (RGB) +- Mathematical formula display + +### Export & Sharing +- Save processed images (PNG) +- Download convolution computation logs +- Shareable application state + +## Tech Stack + +- **Framework**: Next.js 14+ (App Router) with TypeScript +- **State Management**: Zustand +- **Animation**: Framer Motion + Custom Canvas Animation Loop +- **Styling**: Tailwind CSS +- **Visualization**: HTML5 Canvas API +- **Icons**: Lucide React +- **UI Components**: Radix UI primitives + +## Getting Started + +### Prerequisites +- Node.js 18+ +- npm, yarn, pnpm, or bun + +### Installation + +```bash +# Clone the repository +git clone +cd kernel-convolution-visualizer + +# Install dependencies +npm install + +# Start development server +npm run dev +``` + +Open [http://localhost:3000](http://localhost:3000) in your browser. + +### Available Scripts + +```bash +npm run dev # Start development server +npm run build # Build for production +npm run start # Start production server +npm run lint # Run ESLint +npm run type-check # Run TypeScript type checking +``` + +## Project Structure + +``` +src/ +β”œβ”€β”€ app/ # Next.js App Router pages +β”œβ”€β”€ components/ +β”‚ β”œβ”€β”€ canvas/ # Canvas-based visualization components +β”‚ β”œβ”€β”€ controls/ # Playback, zoom, overlay controls +β”‚ β”œβ”€β”€ kernel/ # Kernel selector, editor, library +β”‚ β”œβ”€β”€ comparison/ # Split view, side-by-side comparison +β”‚ β”œβ”€β”€ education/ # Math display, kernel info panels +β”‚ └── ui/ # Reusable UI components +β”œβ”€β”€ hooks/ # Custom React hooks +β”œβ”€β”€ lib/ +β”‚ β”œβ”€β”€ convolution/ # Core convolution algorithms +β”‚ β”œβ”€β”€ kernels/ # Predefined kernel definitions +β”‚ β”œβ”€β”€ image/ # Image loading, processing utilities +β”‚ └── export/ # Export functionality +β”œβ”€β”€ store/ # Zustand state management +β”œβ”€β”€ types/ # TypeScript definitions +└── utils/ # Helper functions +``` + +## Usage Guide + +1. **Upload an Image**: Drag & drop or click the upload area in the left sidebar +2. **Select a Kernel**: Choose from categories (Blur, Sharpen, Edge Detection, etc.) or create a custom kernel +3. **Watch Convolution**: Press Play to see the kernel move across the image +4. **Inspect Details**: Zoom in to see pixel values, multiplications, and summation +5. **Compare Results**: Click "Show Comparison" for side-by-side or split view +6. **Experiment**: Try different padding strategies, toggle overlays, adjust speed +7. **Export**: Download the processed image + +## Convolution Visualization Explained + +The visualization shows the mathematical operation at each step: + +``` +For each output pixel (x, y) and channel c: +1. Extract input patch: P[i][j] = image[x+i][y+j][c] for i,j in kernel +2. Element-wise multiply: M[i][j] = P[i][j] Γ— K[i][j] +3. Sum: S = Ξ£ M[i][j] +4. Normalize: output = S / Ξ£ K[i][j] (if normalized) +``` + +## Padding Strategies + +- **Zero Padding**: Fill outside with zeros (default) +- **Reflect Padding**: Mirror the image at boundaries +- **Replicate Padding**: Repeat edge pixels outward +- **Wrap Padding**: Tile the image (torus topology) + +## Contributing + +1. Fork the repository +2. Create a feature branch +3. Make your changes +4. Run tests and linting +5. Submit a pull request + +## License + +MIT License - feel free to use for educational and commercial purposes. + +## Acknowledgments + +- Inspired by convolution visualizations in computer vision education +- Kernel definitions from standard image processing literature +- Built with Next.js, React, and modern web technologies \ No newline at end of file diff --git a/eslint.config.mjs b/eslint.config.mjs new file mode 100644 index 0000000000000000000000000000000000000000..05e726d1b4201bc8c7716d2b058279676582e8c0 --- /dev/null +++ b/eslint.config.mjs @@ -0,0 +1,18 @@ +import { defineConfig, globalIgnores } from "eslint/config"; +import nextVitals from "eslint-config-next/core-web-vitals"; +import nextTs from "eslint-config-next/typescript"; + +const eslintConfig = defineConfig([ + ...nextVitals, + ...nextTs, + // Override default ignores of eslint-config-next. + globalIgnores([ + // Default ignores of eslint-config-next: + ".next/**", + "out/**", + "build/**", + "next-env.d.ts", + ]), +]); + +export default eslintConfig; diff --git a/next.config.ts b/next.config.ts new file mode 100644 index 0000000000000000000000000000000000000000..18558196607329ac98fb9659cce4f333b168e733 --- /dev/null +++ b/next.config.ts @@ -0,0 +1,21 @@ +import type { NextConfig } from "next"; + +const nextConfig: NextConfig = { + // Disable Turbopack for now due to webpack config + turbopack: {}, + // Enable experimental features for better performance + experimental: { + optimizePackageImports: ['lucide-react'], + }, + // Allow cross-origin images for development + images: { + remotePatterns: [ + { + protocol: 'https', + hostname: '**', + }, + ], + }, +}; + +export default nextConfig; \ No newline at end of file diff --git a/package-lock.json b/package-lock.json new file mode 100644 index 0000000000000000000000000000000000000000..bc5531a09d94cc03507762a004243ee227dc5ebd --- /dev/null +++ b/package-lock.json @@ -0,0 +1,7789 @@ +{ + "name": "kernel-convolution-visualizer", + "version": "0.1.0", 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"@testing-library/dom": "^10.4.0", - "@testing-library/jest-dom": "^6.6.3", - "@testing-library/react": "^16.3.0", - "@testing-library/user-event": "^13.5.0", - "react": "^19.1.0", - "react-dom": "^19.1.0", - "react-scripts": "5.0.1", - "web-vitals": "^2.1.4" - }, "scripts": { - "start": "react-scripts start", - "build": "react-scripts build", - "test": "react-scripts test", - "eject": "react-scripts eject" + "dev": "next dev", + "build": "next build", + "start": "next start", + "lint": "next lint", + "type-check": "tsc --noEmit" }, - "eslintConfig": { - "extends": [ - "react-app", - "react-app/jest" - ] + "dependencies": { + "@radix-ui/react-dropdown-menu": "^2.1.24", + "@radix-ui/react-select": "^2.3.7", + "@radix-ui/react-slider": "^1.4.7", + "@radix-ui/react-tabs": "^1.1.21", + "@radix-ui/react-tooltip": "^1.2.16", + "clsx": "^2.1.1", + "framer-motion": "^13.0.0", + "lucide-react": "^1.28.0", + "next": "16.3.0", + "react": "19.2.8", + "react-dom": "19.2.8", + "tailwind-merge": "^3.6.0", + "zustand": "^5.0.14" }, - "browserslist": { - "production": [ - ">0.2%", - "not dead", - "not op_mini all" - ], - "development": [ - "last 1 chrome version", - "last 1 firefox version", - "last 1 safari version" - ] + "devDependencies": { + "@tailwindcss/postcss": "^4", + "@types/node": "^20", + "@types/offscreencanvas": "^2019.7.3", + "@types/react": "^19", + "@types/react-dom": "^19", + "eslint": "^9", + "eslint-config-next": "16.3.0", + "tailwindcss": "^4", + "typescript": "^5" } -} +} \ No newline at end of file diff --git a/plan.md b/plan.md new file mode 100644 index 0000000000000000000000000000000000000000..5fe092bb4e90819226ae963858388ce1758a5846 --- /dev/null +++ b/plan.md @@ -0,0 +1,339 @@ +# Interactive Kernel Convolution Visualizer - Project Plan + +## Project Overview +Build an interactive web application that demonstrates how image convolution works in real time. The application serves both as an image-processing tool and an educational visualization platform for understanding convolution kernels, their mathematical operations, and their effects on images. + +## Target Audience +- Students learning computer vision and digital image processing +- Developers learning about CNNs and kernel operations +- Educators teaching image processing concepts +- Anyone curious about how image filters work + +## Core Features + +### 1. Image Management +- Upload any image (drag & drop, file picker) +- Support common formats: PNG, JPEG, WebP, BMP +- Display original image with zoom/pan capabilities +- Image metadata display (dimensions, file size, color channels) + +### 2. Kernel Library +Predefined kernels: +- **Blur Filters**: Box Blur (3Γ—3, 5Γ—5, 7Γ—7), Gaussian Blur (3Γ—3, 5Γ—5) +- **Sharpen Filters**: Sharpen, Unsharp Mask +- **Edge Detection**: Sobel X, Sobel Y, Sobel Combined, Prewitt, Roberts, Laplacian +- **Emboss**: Emboss (multiple directions) +- **Special Effects**: Motion Blur, Outline, Ridge Detection +- **Custom Kernel Builder**: User-defined matrix with size selector (3Γ—3, 5Γ—5, 7Γ—7, 9Γ—9) + +### 3. Convolution Visualization (Core Feature) +- **Step-by-step Animation**: Kernel matrix moves across image pixel by pixel +- **Current Patch Highlight**: Visual indication of image region under kernel +- **Element-wise Multiplication**: Show kernel values Γ— pixel values +- **Summation Display**: Real-time calculation of output pixel value +- **Continuous Animation**: Smooth traversal across entire image +- **Progressive Output Rendering**: Output image builds up as computation completes + +### 4. Interactive Controls +- Play / Pause / Restart / Step Forward / Step Backward +- Animation speed slider (0.5x - 10x) +- Zoom controls for pixel-level inspection +- Toggle overlays: + - Kernel boundary visualization + - Pixel value display + - Multiplication calculation overlay + - Summation formula display + +### 5. Comparison & Analysis +- Side-by-side original vs processed view +- Split-view slider (before/after) +- Synchronized zoom/pan between views +- Multiple kernel comparison mode (tabbed results) +- Processing statistics: execution time, operations count, memory usage + +### 6. Padding Strategies +- Visual demonstration of padding effects +- Options: Zero Padding, Reflect Padding, Replicate Padding, Wrap Padding +- Border handling visualization at image edges + +### 7. Educational Insights +- Real-time mathematical equation display +- Kernel purpose/effect description +- Convolution formula with current values +- Channel-wise processing explanation (RGB) +- Links to learning resources + +### 8. Export & Sharing +- Save processed image (PNG, JPEG) +- Export visualization as GIF/MP4 +- Shareable URL with current state +- Download convolution computation log (CSV/JSON) + +## Technical Architecture + +### Frontend Stack +- **Framework**: Next.js 14+ (App Router) with TypeScript +- **State Management**: Zustand or React Context +- **Animation**: Framer Motion for UI, custom Canvas/WebGL for convolution viz +- **Styling**: Tailwind CSS +- **Canvas**: HTML5 Canvas API (primary), WebGL fallback for performance +- **Image Processing**: Custom JavaScript implementation (no heavy deps) + +### Component Structure +``` +src/ +β”œβ”€β”€ app/ # Next.js App Router pages +β”œβ”€β”€ components/ +β”‚ β”œβ”€β”€ canvas/ # Canvas-based visualization components +β”‚ β”œβ”€β”€ controls/ # Playback, speed, zoom controls +β”‚ β”œβ”€β”€ kernel/ # Kernel selector, editor, library +β”‚ β”œβ”€β”€ comparison/ # Split view, side-by-side comparison +β”‚ β”œβ”€β”€ education/ # Math display, kernel info panels +β”‚ └── ui/ # Reusable UI components (buttons, sliders, etc.) +β”œβ”€β”€ hooks/ # Custom React hooks +β”œβ”€β”€ lib/ +β”‚ β”œβ”€β”€ convolution/ # Core convolution algorithms +β”‚ β”œβ”€β”€ kernels/ # Predefined kernel definitions +β”‚ β”œβ”€β”€ image/ # Image loading, processing utilities +β”‚ └── export/ # Export functionality +β”œβ”€β”€ store/ # State management +β”œβ”€β”€ types/ # TypeScript definitions +└── utils/ # Helper functions +``` + +### Core Algorithms + +#### Convolution Engine +```typescript +interface ConvolutionOptions { + kernel: number[][]; + padding: 'zero' | 'reflect' | 'replicate' | 'wrap'; + normalize: boolean; + stride: number; +} + +function convolve( + imageData: ImageData, + kernel: number[][], + options: ConvolutionOptions, + onProgress?: (progress: ConvolutionProgress) => void +): Promise; +``` + +#### Step-by-step Generator +```typescript +interface ConvolutionStep { + x: number; + y: number; + inputPatch: number[][][]; + kernel: number[][]; + multiplications: number[][][]; + sum: number; + outputValue: number; + channel: number; +} + +function* convolutionSteps( + imageData: ImageData, + kernel: number[][], + options: ConvolutionOptions +): Generator; +``` + +### Animation System +- RequestAnimationFrame-based loop +- Configurable frame rate (target 60fps) +- Step batching for performance (process N pixels per frame) +- Pause/resume without losing state +- Step-by-step mode with manual advancement + +### Performance Considerations +- Web Workers for heavy computation +- Canvas pooling to reduce GC pressure +- TypedArrays for numerical computation +- Progressive rendering (don't block UI) +- Lazy evaluation for comparison views + +## Development Phases + +### Phase 1: Foundation (Week 1-2) +- [ ] Project setup (Next.js, TypeScript, Tailwind, ESLint, Prettier) +- [ ] Basic project structure and component architecture +- [ ] Image upload and display component +- [ ] Basic Canvas rendering setup +- [ ] Kernel data structure and predefined kernels library + +### Phase 2: Core Convolution (Week 2-3) +- [ ] Implement convolution algorithm (CPU) +- [ ] Implement padding strategies +- [ ] Create step-by-step generator +- [ ] Basic convolution visualization (static) +- [ ] Output image generation + +### Phase 3: Animation & Visualization (Week 3-4) +- [ ] Animation loop with play/pause/step controls +- [ ] Speed control implementation +- [ ] Current patch highlighting +- [ ] Element-wise multiplication visualization +- [ ] Summation process display +- [ ] Progressive output rendering + +### Phase 4: Interactive Controls (Week 4-5) +- [ ] Zoom/pan functionality +- [ ] Overlay toggles (kernel boundary, values, math) +- [ ] Kernel selector UI with categories +- [ ] Custom kernel editor +- [ ] Padding strategy selector with visualization + +### Phase 5: Comparison & Analysis (Week 5-6) +- [ ] Side-by-side comparison view +- [ ] Split slider component +- [ ] Synchronized zoom/pan +- [ ] Multi-kernel comparison tabs +- [ ] Statistics panel (time, ops, memory) + +### Phase 6: Educational Features (Week 6-7) +- [ ] Real-time equation display +- [ ] Kernel information panels +- [ ] Channel processing visualization +- [ ] Tooltip/explanation system +- [ ] Learning resource links + +### Phase 7: Export & Polish (Week 7-8) +- [ ] Save processed image +- [ ] Export animation (GIF/Video) +- [ ] Shareable state URLs +- [ ] Performance optimization +- [ ] Mobile responsiveness +- [ ] Accessibility improvements +- [ ] Documentation & help system + +### Phase 8: Advanced Features (Week 8+) +- [ ] WebGL acceleration option +- [ ] Web Worker for computation +- [ ] Batch processing multiple images +- [ ] Kernel composition (sequential filters) +- [ ] Frequency domain visualization (FFT) +- [ ] 3D kernel visualization + +## Data Structures + +### Kernel Definition +```typescript +interface Kernel { + id: string; + name: string; + category: 'blur' | 'sharpen' | 'edge' | 'emboss' | 'custom' | 'other'; + matrix: number[][]; + size: number; + normalize: boolean; + description: string; + formula?: string; + reference?: string; +} +``` + +### Convolution State +```typescript +interface ConvolutionState { + status: 'idle' | 'running' | 'paused' | 'completed' | 'error'; + currentStep: ConvolutionStep | null; + progress: number; // 0-1 + startTime: number; + elapsedTime: number; + processedPixels: number; + totalPixels: number; + outputImageData: ImageData | null; +} +``` + +### App Settings +```typescript +interface AppSettings { + animationSpeed: number; // 0.5 - 10 + showOverlay: { + kernelBoundary: boolean; + pixelValues: boolean; + multiplications: boolean; + summation: boolean; + }; + padding: 'zero' | 'reflect' | 'replicate' | 'wrap'; + zoomLevel: number; + panOffset: { x: number; y: number }; + comparisonMode: 'side-by-side' | 'split' | 'overlay'; +} +``` + +## Testing Strategy + +### Unit Tests +- Convolution algorithm correctness +- Padding strategy implementations +- Kernel normalization +- Step generator accuracy +- Export functionality + +### Integration Tests +- Image upload β†’ convolution β†’ output pipeline +- Animation playback controls +- Comparison view synchronization +- State persistence/restoration + +### Visual Regression Tests +- Canvas rendering at different zoom levels +- Overlay accuracy +- Split slider positions +- Kernel matrix display + +### Performance Benchmarks +- Convolution speed (pixels/second) +- Animation frame rate +- Memory usage during large image processing +- Web Worker vs main thread performance + +## Accessibility +- Keyboard navigation for all controls +- Screen reader announcements for animation state +- High contrast mode support +- Reduced motion preference respect +- Focus indicators +- Alt text for all visual elements + +## Browser Support +- Chrome 90+ +- Firefox 88+ +- Safari 14+ +- Edge 90+ +- Mobile browsers (iOS Safari, Chrome Android) + +## Deployment +- Static export to Vercel/Netlify +- CDN for kernel definitions and assets +- PWA support for offline use +- Analytics (privacy-friendly) + +## Success Metrics +- Frame rate β‰₯ 30fps during animation +- Convolution of 1MP image < 2 seconds +- Time to interactive < 3 seconds +- Lighthouse score > 90 +- Zero critical accessibility violations + +## Risk Mitigation +| Risk | Mitigation | +|------|------------| +| Performance on large images | Web Workers, progressive rendering, WebGL fallback | +| Animation smoothness | RequestAnimationFrame, frame budgeting, step batching | +| Memory leaks | Canvas pooling, proper cleanup, WeakRef for caches | +| Cross-browser canvas differences | Feature detection, polyfills, fallback rendering | +| Complex state management | Zustand with devtools, immutable updates | + +## Future Extensions +- Video convolution visualization +- 3D convolution (volumetric data) +- CNN layer visualization (multiple kernels, feature maps) +- Interactive kernel design with real-time preview +- Frequency domain analysis +- Integration with ML frameworks (TensorFlow.js, ONNX.js) +- Collaborative annotation/sharing +- Plugin system for custom kernels/effects \ No newline at end of file diff --git a/postcss.config.mjs b/postcss.config.mjs new file mode 100644 index 0000000000000000000000000000000000000000..61e36849cf7cfa9f1f71b4a3964a4953e3e243d3 --- /dev/null +++ b/postcss.config.mjs @@ -0,0 +1,7 @@ +const config = { + plugins: { + "@tailwindcss/postcss": {}, + }, +}; + +export default config; diff --git a/public/favicon.ico b/public/favicon.ico deleted file mode 100644 index a11777cc471a4344702741ab1c8a588998b1311a..0000000000000000000000000000000000000000 Binary files a/public/favicon.ico and /dev/null differ diff --git a/public/file.svg b/public/file.svg new file mode 100644 index 0000000000000000000000000000000000000000..004145cddf3f9db91b57b9cb596683c8eb420862 --- /dev/null +++ b/public/file.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/public/globe.svg b/public/globe.svg new file mode 100644 index 0000000000000000000000000000000000000000..567f17b0d7c7fb662c16d4357dd74830caf2dccb --- /dev/null +++ b/public/globe.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/public/index.html b/public/index.html deleted file mode 100644 index aa069f27cbd9d53394428171c3989fd03db73c76..0000000000000000000000000000000000000000 --- a/public/index.html +++ /dev/null @@ -1,43 +0,0 @@ - - - - - - - - - - - - - React App - - - -
- - - diff --git a/public/logo192.png b/public/logo192.png deleted file mode 100644 index fc44b0a3796c0e0a64c3d858ca038bd4570465d9..0000000000000000000000000000000000000000 Binary files a/public/logo192.png and /dev/null differ diff --git a/public/logo512.png b/public/logo512.png deleted file mode 100644 index a4e47a6545bc15971f8f63fba70e4013df88a664..0000000000000000000000000000000000000000 Binary files a/public/logo512.png and /dev/null differ diff --git a/public/manifest.json b/public/manifest.json deleted file mode 100644 index 080d6c77ac21bb2ef88a6992b2b73ad93daaca92..0000000000000000000000000000000000000000 --- a/public/manifest.json +++ /dev/null @@ -1,25 +0,0 @@ -{ - "short_name": "React App", - "name": "Create React App Sample", - "icons": [ - { - "src": "favicon.ico", - "sizes": "64x64 32x32 24x24 16x16", - "type": "image/x-icon" - }, - { - "src": "logo192.png", - "type": "image/png", - "sizes": "192x192" - }, - { - "src": "logo512.png", - "type": "image/png", - "sizes": "512x512" - } - ], - "start_url": ".", - "display": "standalone", - "theme_color": "#000000", - "background_color": "#ffffff" -} diff --git a/public/next.svg b/public/next.svg new file mode 100644 index 0000000000000000000000000000000000000000..5174b28c565c285e3e312ec5178be64fbeca8398 --- /dev/null +++ b/public/next.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/public/robots.txt b/public/robots.txt deleted file mode 100644 index e9e57dc4d41b9b46e05112e9f45b7ea6ac0ba15e..0000000000000000000000000000000000000000 --- a/public/robots.txt +++ /dev/null @@ -1,3 +0,0 @@ -# https://www.robotstxt.org/robotstxt.html -User-agent: * -Disallow: diff --git a/public/vercel.svg b/public/vercel.svg new file mode 100644 index 0000000000000000000000000000000000000000..77053960334e2e34dc584dea8019925c3b4ccca9 --- /dev/null +++ b/public/vercel.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/public/window.svg b/public/window.svg new file mode 100644 index 0000000000000000000000000000000000000000..b2b2a44f6ebc70c450043c05a002e7a93ba5d651 --- /dev/null +++ b/public/window.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/src/App.css b/src/App.css deleted file mode 100644 index 74b5e053450a48a6bdb4d71aad648e7af821975c..0000000000000000000000000000000000000000 --- a/src/App.css +++ /dev/null @@ -1,38 +0,0 @@ -.App { - text-align: center; -} - -.App-logo { - height: 40vmin; - pointer-events: none; -} - -@media (prefers-reduced-motion: no-preference) { - .App-logo { - animation: App-logo-spin infinite 20s linear; - } -} - -.App-header { - background-color: #282c34; - min-height: 100vh; - display: flex; - flex-direction: column; - align-items: center; - justify-content: center; - font-size: calc(10px + 2vmin); - color: white; -} - -.App-link { - color: #61dafb; -} - -@keyframes App-logo-spin { - from { - transform: rotate(0deg); - } - to { - transform: rotate(360deg); - } -} diff --git a/src/App.js b/src/App.js deleted file mode 100644 index 37845757234ccb68531c10cf7a2ffc589c47e342..0000000000000000000000000000000000000000 --- a/src/App.js +++ /dev/null @@ -1,25 +0,0 @@ -import logo from './logo.svg'; -import './App.css'; - -function App() { - return ( -
-
- logo -

- Edit src/App.js and save to reload. -

- - Learn React - -
-
- ); -} - -export default App; diff --git a/src/App.test.js b/src/App.test.js deleted file mode 100644 index 1f03afeece5ac28064fa3c73a29215037465f789..0000000000000000000000000000000000000000 --- a/src/App.test.js +++ /dev/null @@ -1,8 +0,0 @@ -import { render, screen } from '@testing-library/react'; -import App from './App'; - -test('renders learn react link', () => { - render(); - const linkElement = screen.getByText(/learn react/i); - expect(linkElement).toBeInTheDocument(); -}); diff --git a/src/app/favicon.ico b/src/app/favicon.ico new file mode 100644 index 0000000000000000000000000000000000000000..718d6fea4835ec2d246af9800eddb7ffb276240c Binary files /dev/null and b/src/app/favicon.ico differ diff --git a/src/app/globals.css b/src/app/globals.css new file mode 100644 index 0000000000000000000000000000000000000000..5734926775337966ca083c20f848c331bbb3b651 --- /dev/null +++ b/src/app/globals.css @@ -0,0 +1,115 @@ +@import "tailwindcss"; + +:root { + --background: #f9fafb; + --foreground: #111827; +} + +@theme inline { + --color-background: var(--background); + --color-foreground: var(--foreground); + --font-sans: var(--font-geist-sans); + --font-mono: var(--font-geist-mono); +} + +@media (prefers-color-scheme: dark) { + :root { + --background: #111827; + --foreground: #f9fafb; + } +} + +* { + box-sizing: border-box; +} + +body { + background: var(--background); + color: var(--foreground); + font-family: var(--font-sans); +} + +/* Custom scrollbar */ +::-webkit-scrollbar { + width: 8px; + height: 8px; +} + +::-webkit-scrollbar-track { + background: transparent; +} + +::-webkit-scrollbar-thumb { + background: #9ca3af; + border-radius: 4px; +} + +::-webkit-scrollbar-thumb:hover { + background: #6b7280; +} + +/* Focus visible styles */ +:focus-visible { + outline: 2px solid #3b82f6; + outline-offset: 2px; +} + +/* Animations */ +@keyframes slide-in { + from { + opacity: 0; + transform: translateY(10px); + } + to { + opacity: 1; + transform: translateY(0); + } +} + +.animate-slide-in { + animation: slide-in 0.3s ease-out; +} + +/* Canvas styles */ +canvas { + display: block; +} + +/* Selection styles */ +::selection { + background: #3b82f6; + color: white; +} + +/* Input range styles */ +input[type="range"] { + -webkit-appearance: none; + appearance: none; +} + +input[type="range"]::-webkit-slider-thumb { + -webkit-appearance: none; + appearance: none; + width: 16px; + height: 16px; + border-radius: 50%; + background: #3b82f6; + cursor: pointer; + border: 2px solid white; + box-shadow: 0 1px 3px rgba(0, 0, 0, 0.1); +} + +input[type="range"]::-moz-range-thumb { + width: 16px; + height: 16px; + border-radius: 50%; + background: #3b82f6; + cursor: pointer; + border: 2px solid white; +} + +/* Number input arrows */ +input[type="number"]::-webkit-inner-spin-button, +input[type="number"]::-webkit-outer-spin-button { + opacity: 1; +} \ No newline at end of file diff --git a/src/app/layout.tsx b/src/app/layout.tsx new file mode 100644 index 0000000000000000000000000000000000000000..da22eada65c1bc85a93a8216384327c76ee15a50 --- /dev/null +++ b/src/app/layout.tsx @@ -0,0 +1,30 @@ +import type { Metadata } from "next"; +import { Geist, Geist_Mono } from "next/font/google"; +import "./globals.css"; + +const geistSans = Geist({ + variable: "--font-geist-sans", + subsets: ["latin"], +}); + +const geistMono = Geist_Mono({ + variable: "--font-geist-mono", + subsets: ["latin"], +}); + +export const metadata: Metadata = { + title: "Interactive Kernel Convolution Visualizer", + description: "Learn how image convolution works with interactive step-by-step visualization", +}; + +export default function RootLayout({ + children, +}: Readonly<{ + children: React.ReactNode; +}>) { + return ( + + {children} + + ); +} \ No newline at end of file diff --git a/src/app/page.tsx b/src/app/page.tsx new file mode 100644 index 0000000000000000000000000000000000000000..91872f1ecc2cc0b83a582e4e9684c79bdcb79e93 --- /dev/null +++ b/src/app/page.tsx @@ -0,0 +1,389 @@ +'use client' + +import { useState, useCallback } from 'react' +import { useAppStore, useImageStore, useUIStore } from '@/store' +import { KernelSelector } from '@/components/kernel/KernelSelector' +import { PlaybackControls } from '@/components/controls/PlaybackControls' +import { OverlayControls, PaddingControls, KernelInfoPanel } from '@/components/controls/OverlayControls' +import { ConvolutionCanvas } from '@/components/canvas/ConvolutionCanvas' +import { SplitView } from '@/components/canvas/SplitView' +import { ImageCanvas } from '@/components/canvas/ImageCanvas' +import { Button, Card, CardContent, Badge } from '@/components/ui' +import { useImageLoader, useDragAndDrop } from '@/hooks/useImageLoader' +import { useConvolution } from '@/hooks/useConvolution' +import { cn, formatNumber } from '@/utils/helpers' +import { + Upload, + Image as ImageIcon, + Download, + RotateCcw, + HelpCircle, + Settings, + ChevronLeft, + ChevronRight, +} from 'lucide-react' + +export default function Home() { + const { + originalImageData, + processedImageData, + selectedKernel, + convolution, + settings, + isLoading, + error, + showHelp, + showSettings, + setOriginalImage, + setError, + toggleHelp, + toggleSettings, + resetConvolution, + } = useAppStore() + + const { runConvolution, pause, resume, stop, step, reset, isRunning, isPaused, canRun } = useConvolution() + const { fileInputRef, openFileDialog, handleFileSelect } = useImageLoader() + const { handleDragOver, handleDragLeave, handleDrop, isDragging } = useDragAndDrop((image, imageData) => { + setOriginalImage(image, imageData) + resetConvolution() + }) + + const [showComparison, setShowComparison] = useState(false) + const [sidebarWidth, setSidebarWidth] = useState(320) + + const handleImageLoad = useCallback((data: { image: HTMLImageElement; imageData: ImageData }) => { + setOriginalImage(data.image, data.imageData) + resetConvolution() + }, [setOriginalImage, resetConvolution]) + + const handleDownload = useCallback(() => { + if (!processedImageData) return + const canvas = document.createElement('canvas') + canvas.width = processedImageData.width + canvas.height = processedImageData.height + const ctx = canvas.getContext('2d') + if (!ctx) return + ctx.putImageData(processedImageData, 0, 0) + const link = document.createElement('a') + link.download = 'convolved-image.png' + link.href = canvas.toDataURL('image/png') + link.click() + }, [processedImageData]) + + const handleReset = useCallback(() => { + reset() + resetConvolution() + }, [reset, resetConvolution]) + + if (isLoading) { + return ( +
+
+
+ ) + } + + return ( +
+ {/* Header */} +
+
+

+ Kernel Convolution Visualizer +

+ + Educational Tool + +
+ +
+ + +
+
+ + {/* Main Content */} +
+ {/* Left Sidebar - Controls */} + + + {/* Resizer */} +
{ + const startX = e.clientX + const startWidth = sidebarWidth + const onMouseMove = (e: MouseEvent) => { + setSidebarWidth(Math.max(280, Math.min(400, startWidth + (e.clientX - startX)))) + } + const onMouseUp = () => { + document.removeEventListener('mousemove', onMouseMove) + document.removeEventListener('mouseup', onMouseUp) + } + document.addEventListener('mousemove', onMouseMove) + document.addEventListener('mouseup', onMouseUp) + }} + > +
+
+ + {/* Center - Visualization */} +
+ {originalImageData ? ( + <> + {/* Convolution Visualization */} +
+ +
+ + {/* Comparison View Toggle */} +
+ + + {selectedKernel && ( + + {selectedKernel.name} ({selectedKernel.size}Γ—{selectedKernel.size}) + + )} + + {convolution.status !== 'idle' && ( + + {convolution.status} + + )} +
+ + ) : ( +
+
+ +

Upload an image to begin

+

Drag & drop or click the upload area

+
+
+ )} + + {/* Comparison View */} + {showComparison && processedImageData && ( +
+ +
+ )} +
+ + {/* Right Sidebar - Info Panels */} + +
+ + {/* Error Toast */} + {error && ( +
+
+ {error} + +
+
+ )} + + {/* Help Modal */} + {showHelp && ( +
+
+
+

How to Use

+
+
+

1. Upload an Image

+

Drag & drop or click the upload area in the left sidebar.

+
+
+

2. Select a Kernel

+

Choose from predefined kernels (Blur, Sharpen, Edge Detection, etc.) or create your own custom kernel.

+
+
+

3. Watch the Convolution

+

Press Play to see the kernel move across the image pixel by pixel. The visualization shows:

+
    +
  • Current image patch under the kernel
    • +
  • Element-wise multiplication of kernel and pixel values
    • +
  • Summation that produces the output pixel
    • +
+
+
+

4. Control Playback

+
    +
  • Play/Pause/Step through the animation
    • +
  • Adjust animation speed
    • +
  • Zoom and pan for pixel-level inspection
    • +
+
+
+

5. Compare Results

+

Click “Show Comparison” to see side-by-side or split view of original vs processed image.

+
+
+

6. Experiment

+
    +
  • Try different padding strategies (Zero, Reflect, Replicate, Wrap)
    • +
  • Toggle overlays to see different visualization aspects
    • +
  • Create custom kernels with the editor
    • +
  • Download the processed image
    • +
+
+
+
+ +
+
+
+
+ )} + + {/* Settings Modal */} + {showSettings && ( +
+
+
+

Settings

+
+ + + + +
+
+ +
+
+
+
+ )} +
+ ) +} \ No newline at end of file diff --git a/src/components/canvas/ConvolutionCanvas.tsx b/src/components/canvas/ConvolutionCanvas.tsx new file mode 100644 index 0000000000000000000000000000000000000000..6df36d19ad5d29a9d05cbc9af27d946e6315f834 --- /dev/null +++ b/src/components/canvas/ConvolutionCanvas.tsx @@ -0,0 +1,255 @@ +'use client' + +import { useRef, useEffect, useCallback, useMemo } from 'react' +import { useAppStore, useConvolutionStore, useSettingsStore } from '@/store' +import type { ConvolutionStep } from '@/types' +import { cn } from '@/utils/helpers' + +interface ConvolutionCanvasProps { + width?: number + height?: number + className?: string +} + +export function ConvolutionCanvas({ width = 800, height = 600, className }: ConvolutionCanvasProps) { + const canvasRef = useRef(null) + const animationRef = useRef(null) + + const { originalImageData, processedImageData, convolution } = useAppStore() + const { showOverlay, zoomLevel, panOffset, padding } = useSettingsStore() + const currentStep = convolution.currentStep + + const drawCanvas = useCallback(() => { + const canvas = canvasRef.current + const ctx = canvas?.getContext('2d', { willReadFrequently: true }) + if (!canvas || !ctx) return + + const displayWidth = Math.round(width * zoomLevel) + const displayHeight = Math.round(height * zoomLevel) + + canvas.width = displayWidth + canvas.height = displayHeight + + ctx.clearRect(0, 0, displayWidth, displayHeight) + ctx.imageSmoothingEnabled = false + + // Draw original image as background (dimmed) + if (originalImageData) { + const tempCanvas = document.createElement('canvas') + tempCanvas.width = originalImageData.width + tempCanvas.height = originalImageData.height + const tempCtx = tempCanvas.getContext('2d') + if (tempCtx) { + tempCtx.putImageData(originalImageData, 0, 0) + ctx.globalAlpha = 0.3 + ctx.drawImage( + tempCanvas, + 0, + 0, + originalImageData.width, + originalImageData.height, + panOffset.x, + panOffset.y, + originalImageData.width * zoomLevel, + originalImageData.height * zoomLevel + ) + ctx.globalAlpha = 1 + } + } + + // Draw processed image progressively + if (processedImageData) { + const tempCanvas = document.createElement('canvas') + tempCanvas.width = processedImageData.width + tempCanvas.height = processedImageData.height + const tempCtx = tempCanvas.getContext('2d') + if (tempCtx) { + tempCtx.putImageData(processedImageData, 0, 0) + ctx.drawImage( + tempCanvas, + 0, + 0, + processedImageData.width, + processedImageData.height, + panOffset.x, + panOffset.y, + processedImageData.width * zoomLevel, + processedImageData.height * zoomLevel + ) + } + } + + // Draw convolution visualization overlays + if (currentStep && currentStep.x >= 0 && currentStep.y >= 0) { + drawConvolutionOverlay(ctx, currentStep, zoomLevel, panOffset, showOverlay) + } + + // Draw progress indicator + if (convolution.status === 'running' || convolution.status === 'paused') { + drawProgressBar(ctx, displayWidth, displayHeight, convolution.progress) + } + }, [ + originalImageData, + processedImageData, + currentStep, + convolution.status, + convolution.progress, + zoomLevel, + panOffset, + showOverlay, + width, + height, + ]) + + useEffect(() => { + drawCanvas() + }, [drawCanvas]) + + // Animation loop for smooth rendering + useEffect(() => { + const animate = () => { + drawCanvas() + animationRef.current = requestAnimationFrame(animate) + } + animationRef.current = requestAnimationFrame(animate) + return () => { + if (animationRef.current) cancelAnimationFrame(animationRef.current) + } + }, [drawCanvas]) + + return ( +
+ +
+ ) +} + +function drawConvolutionOverlay( + ctx: CanvasRenderingContext2D, + step: ConvolutionStep, + zoom: number, + pan: { x: number; y: number }, + showOverlay: { + kernelBoundary: boolean + pixelValues: boolean + multiplications: boolean + summation: boolean + } +) { + const { x, y, inputPatch, kernel, multiplications, sum, normalizedValue, channel } = step + const kernelSize = kernel.length + const halfKernel = Math.floor(kernelSize / 2) + const cellSize = Math.max(20, Math.min(60, 40 * zoom)) + + const centerX = pan.x + x * zoom + const centerY = pan.y + y * zoom + + // Draw kernel boundary + if (showOverlay.kernelBoundary) { + ctx.strokeStyle = 'rgba(59, 130, 246, 0.8)' + ctx.lineWidth = 2 + ctx.setLineDash([5, 5]) + ctx.strokeRect( + centerX - halfKernel * cellSize * zoom, + centerY - halfKernel * cellSize * zoom, + kernelSize * cellSize * zoom, + kernelSize * cellSize * zoom + ) + ctx.setLineDash([]) + } + + // Draw kernel matrix with values + if (showOverlay.pixelValues || showOverlay.multiplications) { + const fontSize = Math.max(10, Math.min(14, 12 * zoom)) + ctx.font = `${fontSize}px monospace` + ctx.textAlign = 'center' + ctx.textBaseline = 'middle' + + for (let ky = 0; ky < kernelSize; ky++) { + for (let kx = 0; kx < kernelSize; kx++) { + const cellX = centerX + (kx - halfKernel) * cellSize * zoom + const cellY = centerY + (ky - halfKernel) * cellSize * zoom + + // Cell background + ctx.fillStyle = 'rgba(255, 255, 255, 0.9)' + ctx.fillRect(cellX - cellSize / 2, cellY - cellSize / 2, cellSize, cellSize) + ctx.strokeStyle = 'rgba(0, 0, 0, 0.2)' + ctx.strokeRect(cellX - cellSize / 2, cellY - cellSize / 2, cellSize, cellSize) + + if (showOverlay.multiplications && multiplications[ky]?.[kx] !== undefined) { + // Show multiplication: pixel Γ— kernel + const pixelVal = inputPatch[ky]?.[kx] ?? 0 + const kernelVal = kernel[ky]?.[kx] ?? 0 + const mult = multiplications[ky][kx] + + ctx.fillStyle = '#1e40af' + ctx.fillText(`${pixelVal.toFixed(2)}Γ—${kernelVal.toFixed(2)}`, cellX, cellY - fontSize / 2) + ctx.fillStyle = '#dc2626' + ctx.fillText(`=${mult.toFixed(3)}`, cellX, cellY + fontSize / 2) + } else if (showOverlay.pixelValues) { + // Show kernel value + const kernelVal = kernel[ky]?.[kx] ?? 0 + ctx.fillStyle = '#1e40af' + ctx.fillText(kernelVal.toFixed(2), cellX, cellY) + } + } + } + } + + // Draw summation display + if (showOverlay.summation) { + const fontSize = Math.max(12, Math.min(16, 14 * zoom)) + ctx.font = `bold ${fontSize}px monospace` + ctx.textAlign = 'left' + ctx.textBaseline = 'top' + + const sumX = centerX + (halfKernel + 1) * cellSize * zoom + const sumY = centerY - halfKernel * cellSize * zoom + + // Background + const padding = 8 + const textWidth = ctx.measureText(`Ξ£ = ${sum.toFixed(3)}`).width + padding * 2 + const textHeight = fontSize * 3 + padding * 2 + + ctx.fillStyle = 'rgba(255, 255, 255, 0.95)' + ctx.fillRect(sumX - padding, sumY - padding, textWidth, textHeight) + ctx.strokeStyle = '#3b82f6' + ctx.lineWidth = 2 + ctx.strokeRect(sumX - padding, sumY - padding, textWidth, textHeight) + + ctx.fillStyle = '#1e40af' + ctx.fillText(`Channel: ${['R', 'G', 'B', 'A'][channel] ?? channel}`, sumX, sumY) + ctx.fillText(`Sum: ${sum.toFixed(3)}`, sumX, sumY + fontSize + 4) + ctx.fillStyle = '#16a34a' + ctx.fillText(`Output: ${normalizedValue.toFixed(3)}`, sumX, sumY + (fontSize + 4) * 2) + } +} + +function drawProgressBar( + ctx: CanvasRenderingContext2D, + width: number, + height: number, + progress: number +) { + const barHeight = 4 + const barWidth = width * 0.8 + const x = (width - barWidth) / 2 + const y = height - 20 + + ctx.fillStyle = 'rgba(0, 0, 0, 0.3)' + ctx.fillRect(x, y, barWidth, barHeight) + + ctx.fillStyle = '#3b82f6' + ctx.fillRect(x, y, barWidth * progress, barHeight) + + ctx.fillStyle = '#fff' + ctx.font = '12px monospace' + ctx.textAlign = 'center' + ctx.fillText(`${Math.round(progress * 100)}%`, width / 2, y - 4) +} \ No newline at end of file diff --git a/src/components/canvas/ImageCanvas.tsx b/src/components/canvas/ImageCanvas.tsx new file mode 100644 index 0000000000000000000000000000000000000000..c9fcdae99e405e9448fa465db25aaa400820c927 --- /dev/null +++ b/src/components/canvas/ImageCanvas.tsx @@ -0,0 +1,122 @@ +'use client' + +import { useRef, useEffect, useCallback } from 'react' +import { useAppStore } from '@/store' +import { cn } from '@/utils/helpers' + +interface ImageCanvasProps { + imageData: ImageData | null + title: string + width?: number + height?: number + className?: string + onWheel?: (e: React.WheelEvent) => void + onMouseDown?: (e: React.MouseEvent) => void + onMouseMove?: (e: React.MouseEvent) => void + onMouseUp?: (e: React.MouseEvent) => void +} + +export function ImageCanvas({ + imageData, + title, + width = 400, + height = 300, + className, + onWheel, + onMouseDown, + onMouseMove, + onMouseUp, +}: ImageCanvasProps) { + const canvasRef = useRef(null) + const { settings } = useAppStore() + + const drawCanvas = useCallback(() => { + const canvas = canvasRef.current + const ctx = canvas?.getContext('2d', { willReadFrequently: true }) + if (!canvas || !ctx || !imageData) return + + const { zoomLevel, panOffset } = settings + const displayWidth = Math.round(imageData.width * zoomLevel) + const displayHeight = Math.round(imageData.height * zoomLevel) + + canvas.width = displayWidth + canvas.height = displayHeight + + ctx.clearRect(0, 0, displayWidth, displayHeight) + ctx.imageSmoothingEnabled = zoomLevel < 2 + + const tempCanvas = document.createElement('canvas') + tempCanvas.width = imageData.width + tempCanvas.height = imageData.height + const tempCtx = tempCanvas.getContext('2d') + if (tempCtx) { + tempCtx.putImageData(imageData, 0, 0) + ctx.drawImage( + tempCanvas, + 0, + 0, + imageData.width, + imageData.height, + panOffset.x, + panOffset.y, + displayWidth, + displayHeight + ) + } + + // Draw grid at high zoom + if (zoomLevel >= 4) { + drawGrid(ctx, imageData.width, imageData.height, zoomLevel, panOffset) + } + }, [imageData, settings.zoomLevel, settings.panOffset]) + + useEffect(() => { + drawCanvas() + }, [drawCanvas]) + + return ( +
+
+ {title} +
+ +
+ ) +} + +function drawGrid( + ctx: CanvasRenderingContext2D, + imgWidth: number, + imgHeight: number, + zoom: number, + pan: { x: number; y: number } +) { + ctx.strokeStyle = 'rgba(255, 255, 255, 0.3)' + ctx.lineWidth = 0.5 + + for (let x = 0; x <= imgWidth; x++) { + const px = pan.x + x * zoom + ctx.beginPath() + ctx.moveTo(px, 0) + ctx.lineTo(px, imgHeight * zoom) + ctx.stroke() + } + + for (let y = 0; y <= imgHeight; y++) { + const py = pan.y + y * zoom + ctx.beginPath() + ctx.moveTo(0, py) + ctx.lineTo(imgWidth * zoom, py) + ctx.stroke() + } +} \ No newline at end of file diff --git a/src/components/canvas/SplitView.tsx b/src/components/canvas/SplitView.tsx new file mode 100644 index 0000000000000000000000000000000000000000..eceba5bcfeee78c13e08f803b4635f09bac7460a --- /dev/null +++ b/src/components/canvas/SplitView.tsx @@ -0,0 +1,199 @@ +'use client' + +import { useRef, useEffect, useCallback, useState } from 'react' +import { useAppStore } from '@/store' +import { cn } from '@/utils/helpers' + +interface SplitViewProps { + width?: number + height?: number + className?: string +} + +export function SplitView({ width = 800, height = 600, className }: SplitViewProps) { + const canvasRef = useRef(null) + const { originalImageData, processedImageData } = useAppStore() + const { splitPosition, mode, setComparisonViewMode, setSplitPosition } = useAppStore((state) => ({ + splitPosition: state.comparison.splitPosition, + mode: state.comparison.mode, + setComparisonViewMode: state.setComparisonViewMode, + setSplitPosition: state.setSplitPosition, + })) + const [isDragging, setIsDragging] = useState(false) + + const drawCanvas = useCallback(() => { + const canvas = canvasRef.current + const ctx = canvas?.getContext('2d', { willReadFrequently: true }) + if (!canvas || !ctx || !originalImageData) return + + const displayWidth = width + const displayHeight = height + + canvas.width = displayWidth + canvas.height = displayHeight + ctx.clearRect(0, 0, displayWidth, displayHeight) + + const splitX = displayWidth * splitPosition + + if (mode === 'split' || mode === 'overlay') { + // Draw original on left + if (originalImageData) { + const tempCanvas = document.createElement('canvas') + tempCanvas.width = originalImageData.width + tempCanvas.height = originalImageData.height + const tempCtx = tempCanvas.getContext('2d') + if (tempCtx) { + tempCtx.putImageData(originalImageData, 0, 0) + ctx.drawImage( + tempCanvas, + 0, + 0, + originalImageData.width, + originalImageData.height, + 0, + 0, + splitX, + displayHeight + ) + } + } + + // Draw processed on right + if (processedImageData) { + const tempCanvas = document.createElement('canvas') + tempCanvas.width = processedImageData.width + tempCanvas.height = processedImageData.height + const tempCtx = tempCanvas.getContext('2d') + if (tempCtx) { + tempCtx.putImageData(processedImageData, 0, 0) + ctx.drawImage( + tempCanvas, + splitX * (originalImageData.width / displayWidth), + 0, + processedImageData.width - splitX * (originalImageData.width / displayWidth), + processedImageData.height, + splitX, + 0, + displayWidth - splitX, + displayHeight + ) + } + } + + // Draw divider + ctx.strokeStyle = '#fff' + ctx.lineWidth = 3 + ctx.setLineDash([10, 5]) + ctx.beginPath() + ctx.moveTo(splitX, 0) + ctx.lineTo(splitX, displayHeight) + ctx.stroke() + ctx.setLineDash([]) + + // Draw handle + ctx.fillStyle = '#3b82f6' + ctx.beginPath() + ctx.arc(splitX, displayHeight / 2, 12, 0, Math.PI * 2) + ctx.fill() + ctx.strokeStyle = '#fff' + ctx.lineWidth = 2 + ctx.stroke() + } else if (mode === 'side-by-side') { + // Side by side view + const halfWidth = displayWidth / 2 + if (originalImageData) { + const tempCanvas = document.createElement('canvas') + tempCanvas.width = originalImageData.width + tempCanvas.height = originalImageData.height + const tempCtx = tempCanvas.getContext('2d') + if (tempCtx) { + tempCtx.putImageData(originalImageData, 0, 0) + ctx.drawImage(tempCanvas, 0, 0, halfWidth, displayHeight) + } + } + if (processedImageData) { + const tempCanvas = document.createElement('canvas') + tempCanvas.width = processedImageData.width + tempCanvas.height = processedImageData.height + const tempCtx = tempCanvas.getContext('2d') + if (tempCtx) { + tempCtx.putImageData(processedImageData, 0, 0) + ctx.drawImage(tempCanvas, halfWidth, 0, halfWidth, displayHeight) + } + } + // Draw center line + ctx.strokeStyle = 'rgba(255,255,255,0.5)' + ctx.lineWidth = 1 + ctx.beginPath() + ctx.moveTo(halfWidth, 0) + ctx.lineTo(halfWidth, displayHeight) + ctx.stroke() + } + }, [originalImageData, processedImageData, splitPosition, mode, width, height]) + + useEffect(() => { + drawCanvas() + }, [drawCanvas]) + + const handleMouseDown = useCallback((e: React.MouseEvent) => { + if (mode !== 'split') return + const rect = canvasRef.current?.getBoundingClientRect() + if (!rect) return + const x = e.clientX - rect.left + if (Math.abs(x - width * splitPosition) < 20) { + setIsDragging(true) + } + }, [mode, splitPosition, width]) + + const handleMouseMove = useCallback( + (e: React.MouseEvent) => { + if (!isDragging || mode !== 'split') return + const rect = canvasRef.current?.getBoundingClientRect() + if (!rect) return + const x = e.clientX - rect.left + const newPosition = Math.max(0.1, Math.min(0.9, x / width)) + setSplitPosition(newPosition) + }, + [isDragging, mode, width, setSplitPosition] + ) + + const handleMouseUp = useCallback(() => { + setIsDragging(false) + }, []) + + return ( +
+ +
+ + + +
+
+ ) +} \ No newline at end of file diff --git a/src/components/canvas/index.ts b/src/components/canvas/index.ts new file mode 100644 index 0000000000000000000000000000000000000000..bd1a740f2be6333929437ecd2f0d00091dda4cf7 --- /dev/null +++ b/src/components/canvas/index.ts @@ -0,0 +1,3 @@ +export { ConvolutionCanvas } from './ConvolutionCanvas' +export { ImageCanvas } from './ImageCanvas' +export { SplitView } from './SplitView' \ No newline at end of file diff --git a/src/components/controls/OverlayControls.tsx b/src/components/controls/OverlayControls.tsx new file mode 100644 index 0000000000000000000000000000000000000000..7bd7470091014537a3bd9d0963ac8ada0f09b55f --- /dev/null +++ b/src/components/controls/OverlayControls.tsx @@ -0,0 +1,147 @@ +'use client' + +import { useAppStore } from '@/store' +import { PADDING_MODES } from '@/lib/kernels' +import { Select, Card, CardContent, Slider, Button } from '@/components/ui' +import { cn } from '@/utils/helpers' +import { Settings, Layers, Grid } from 'lucide-react' + +export function OverlayControls() { + const { settings, updateSettings, toggleOverlay, setPadding } = useAppStore() + const { showOverlay, padding } = settings + + return ( + + +

+ + Visualization Overlays +

+ +
+ {Object.entries(showOverlay).map(([key, value]) => ( + + ))} +
+ + + ) +} + +export function PaddingControls() { + const { settings, setPadding } = useAppStore() + const { padding } = settings + + return ( + + +

+ + Padding Strategy +

+ + toggleStepMode(e.target.checked)} + className="rounded border-gray-300" + /> + Step Mode (manual advance) + +
+ + + ) +} \ No newline at end of file diff --git a/src/components/controls/index.ts b/src/components/controls/index.ts new file mode 100644 index 0000000000000000000000000000000000000000..936b6a13f9830159ea0bb41ea908878c1f58e294 --- /dev/null +++ b/src/components/controls/index.ts @@ -0,0 +1,2 @@ +export { PlaybackControls } from './PlaybackControls' +export { OverlayControls, PaddingControls, KernelInfoPanel } from './OverlayControls' \ No newline at end of file diff --git a/src/components/kernel/KernelSelector.tsx b/src/components/kernel/KernelSelector.tsx new file mode 100644 index 0000000000000000000000000000000000000000..f865283ebd0da57aea8028cd946879d07ddab88e --- /dev/null +++ b/src/components/kernel/KernelSelector.tsx @@ -0,0 +1,184 @@ +'use client' + +import { useState } from 'react' +import { useAppStore } from '@/store' +import { PREDEFINED_KERNELS, KERNEL_CATEGORIES, getKernelsByCategory } from '@/lib/kernels' +import type { KernelCategory } from '@/lib/kernels' +import { Button, Card, CardContent, Badge, Input } from '@/components/ui' +import { cn } from '@/utils/helpers' +import { Search, SlidersHorizontal, Plus } from 'lucide-react' + +export function KernelSelector() { + const { selectedKernel, setSelectedKernel, customKernelMatrix, customKernelSize, customKernelNormalize, setCustomKernel, setCustomKernelSize, setCustomKernelNormalize, updateCustomKernelCell } = useAppStore() + const [activeCategory, setActiveCategory] = useState('blur') + const [searchQuery, setSearchQuery] = useState('') + const [showCustom, setShowCustom] = useState(false) + + const filteredKernels = PREDEFINED_KERNELS.filter( + (k) => + k.name.toLowerCase().includes(searchQuery.toLowerCase()) || + k.category.toLowerCase().includes(searchQuery.toLowerCase()) || + k.description.toLowerCase().includes(searchQuery.toLowerCase()) + ) + + const kernelsByCategory = KERNEL_CATEGORIES.map((cat) => ({ + ...cat, + kernels: getKernelsByCategory(cat.value).filter((k) => + k.name.toLowerCase().includes(searchQuery.toLowerCase()) + ), + })) + + const handleKernelSelect = (kernel: typeof PREDEFINED_KERNELS[0]) => { + setSelectedKernel(kernel) + setShowCustom(false) + } + + const handleCustomKernelSubmit = () => { + const kernel = { + id: `custom-${Date.now()}`, + name: `Custom ${customKernelSize}Γ—${customKernelSize}`, + category: 'custom' as KernelCategory, + matrix: customKernelMatrix, + size: customKernelSize, + normalize: customKernelNormalize, + description: 'User-defined custom kernel', + } + setSelectedKernel(kernel) + } + + return ( + +
+

Kernel Selector

+ +
+ + + {/* Search */} +
+ + setSearchQuery(e.target.value)} + className="w-full pl-10 pr-4 py-2 border border-gray-300 rounded-lg dark:border-gray-600 dark:bg-gray-800 dark:text-white" + /> +
+ + {/* Category Tabs */} +
+ {KERNEL_CATEGORIES.map((cat) => ( + + ))} +
+ + {/* Custom Kernel Editor */} + {showCustom && ( +
+

Custom Kernel Editor

+
+ setCustomKernelSize(Math.max(3, Math.min(9, parseInt(e.target.value) || 3)))} + min={3} + max={9} + step={2} + className="w-24" + /> + +
+
+ {Array.from({ length: customKernelSize }, (_, row) => + Array.from({ length: customKernelSize }, (_, col) => ( + updateCustomKernelCell(row, col, parseFloat(e.target.value) || 0)} + className="w-full h-8 text-center text-sm border border-gray-300 rounded dark:border-gray-600 dark:bg-gray-700" + /> + )) + )} +
+ +
+ )} + + {/* Kernel List */} +
+ {kernelsByCategory + .filter((cat) => cat.kernels.length > 0) + .map((cat) => ( +
+

+ {cat.label} +

+
+ {cat.kernels.map((kernel) => ( + + ))} +
+
+ ))} + {filteredKernels.length === 0 && ( +
+ No kernels found matching “{searchQuery}” +
+ )} +
+ + + ) +} \ No newline at end of file diff --git a/src/components/ui/Badge.tsx b/src/components/ui/Badge.tsx new file mode 100644 index 0000000000000000000000000000000000000000..c5a73e361246abf1a41aa5071a39b4dd7aa6e58a --- /dev/null +++ b/src/components/ui/Badge.tsx @@ -0,0 +1,37 @@ +'use client' + +import { forwardRef, HTMLAttributes } from 'react' +import { cn } from '@/utils/helpers' + +export interface BadgeProps extends HTMLAttributes { + variant?: 'default' | 'secondary' | 'success' | 'warning' | 'danger' | 'outline' +} + +export const Badge = forwardRef( + ({ className, variant = 'default', children, ...props }, ref) => { + const variants = { + default: 'bg-blue-100 text-blue-800 dark:bg-blue-900/30 dark:text-blue-300', + secondary: 'bg-gray-100 text-gray-800 dark:bg-gray-800 dark:text-gray-300', + success: 'bg-green-100 text-green-800 dark:bg-green-900/30 dark:text-green-300', + warning: 'bg-yellow-100 text-yellow-800 dark:bg-yellow-900/30 dark:text-yellow-300', + danger: 'bg-red-100 text-red-800 dark:bg-red-900/30 dark:text-red-300', + outline: 'border border-gray-300 text-gray-700 dark:border-gray-600 dark:text-gray-300', + } + + return ( + + {children} + + ) + } +) + +Badge.displayName = 'Badge' \ No newline at end of file diff --git a/src/components/ui/Button.tsx b/src/components/ui/Button.tsx new file mode 100644 index 0000000000000000000000000000000000000000..3854356dde27b767674137f3c26d019a2378f57c --- /dev/null +++ b/src/components/ui/Button.tsx @@ -0,0 +1,60 @@ +'use client' + +import { forwardRef, ButtonHTMLAttributes } from 'react' +import { cn } from '@/utils/helpers' + +export interface ButtonProps extends ButtonHTMLAttributes { + variant?: 'primary' | 'secondary' | 'outline' | 'ghost' | 'danger' + size?: 'sm' | 'md' | 'lg' | 'icon' + loading?: boolean +} + +export const Button = forwardRef( + ({ className, variant = 'primary', size = 'md', loading, disabled, children, ...props }, ref) => { + const baseStyles = + 'inline-flex items-center justify-center font-medium transition-colors focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-ring disabled:pointer-events-none disabled:opacity-50' + + const variants = { + primary: 'bg-blue-600 text-white hover:bg-blue-700 focus-visible:ring-blue-500', + secondary: 'bg-gray-100 text-gray-900 hover:bg-gray-200 focus-visible:ring-gray-500 dark:bg-gray-800 dark:text-gray-100 dark:hover:bg-gray-700', + outline: 'border border-gray-300 bg-transparent hover:bg-gray-100 focus-visible:ring-gray-500 dark:border-gray-600 dark:hover:bg-gray-800', + ghost: 'bg-transparent hover:bg-gray-100 focus-visible:ring-gray-500 dark:hover:bg-gray-800', + danger: 'bg-red-600 text-white hover:bg-red-700 focus-visible:ring-red-500', + } + + const sizes = { + sm: 'h-8 px-3 text-sm gap-1.5', + md: 'h-10 px-4 text-sm gap-2', + lg: 'h-12 px-6 text-base gap-2', + icon: 'h-10 w-10', + } + + return ( + + ) + } +) + +Button.displayName = 'Button' \ No newline at end of file diff --git a/src/components/ui/Card.tsx b/src/components/ui/Card.tsx new file mode 100644 index 0000000000000000000000000000000000000000..498da99ce682cb7a0686b4ee27d4ffab31778203 --- /dev/null +++ b/src/components/ui/Card.tsx @@ -0,0 +1,80 @@ +'use client' + +import { forwardRef, HTMLAttributes } from 'react' +import { cn } from '@/utils/helpers' + +export interface CardProps extends HTMLAttributes { + variant?: 'default' | 'outlined' | 'elevated' +} + +export const Card = forwardRef( + ({ className, variant = 'default', children, ...props }, ref) => { + const variants = { + default: 'bg-white dark:bg-gray-800 border border-gray-200 dark:border-gray-700', + outlined: 'bg-transparent border-2 border-gray-300 dark:border-gray-600', + elevated: 'bg-white dark:bg-gray-800 shadow-lg border-none', + } + + return ( +
+ {children} +
+ ) + } +) + +Card.displayName = 'Card' + +export const CardHeader = forwardRef>( + ({ className, children, ...props }, ref) => ( +
+ {children} +
+ ) +) + +CardHeader.displayName = 'CardHeader' + +export const CardTitle = forwardRef>( + ({ className, children, ...props }, ref) => ( +

+ {children} +

+ ) +) + +CardTitle.displayName = 'CardTitle' + +export const CardDescription = forwardRef>( + ({ className, children, ...props }, ref) => ( +

+ {children} +

+ ) +) + +CardDescription.displayName = 'CardDescription' + +export const CardContent = forwardRef>( + ({ className, children, ...props }, ref) => ( +
+ {children} +
+ ) +) + +CardContent.displayName = 'CardContent' + +export const CardFooter = forwardRef>( + ({ className, children, ...props }, ref) => ( +
+ {children} +
+ ) +) + +CardFooter.displayName = 'CardFooter' \ No newline at end of file diff --git a/src/components/ui/Input.tsx b/src/components/ui/Input.tsx new file mode 100644 index 0000000000000000000000000000000000000000..b166d5be8d97a66273651e33bdeb1b6627e3c6c0 --- /dev/null +++ b/src/components/ui/Input.tsx @@ -0,0 +1,59 @@ +'use client' + +import { forwardRef, InputHTMLAttributes, LabelHTMLAttributes } from 'react' +import { cn } from '@/utils/helpers' + +export interface InputProps extends InputHTMLAttributes { + label?: string + error?: string + helperText?: string +} + +export const Input = forwardRef( + ({ className, label, error, helperText, id, ...props }, ref) => { + const inputId = id || label?.toLowerCase().replace(/\s+/g, '-') + + return ( +
+ {label && ( + + )} + + {error && ( + + )} + {helperText && !error && ( +

+ {helperText} +

+ )} +
+ ) + } +) + +Input.displayName = 'Input' + +// Removed empty LabelProps interface - using LabelHTMLAttributes directly \ No newline at end of file diff --git a/src/components/ui/Select.tsx b/src/components/ui/Select.tsx new file mode 100644 index 0000000000000000000000000000000000000000..5f90c35d0cd099e40ff733d66990c2f60fb4fc64 --- /dev/null +++ b/src/components/ui/Select.tsx @@ -0,0 +1,62 @@ +'use client' + +import { forwardRef, SelectHTMLAttributes, OptionHTMLAttributes } from 'react' +import { cn } from '@/utils/helpers' + +export interface SelectProps extends SelectHTMLAttributes { + label?: string + error?: string + options: { value: string; label: string }[] + placeholder?: string +} + +export const Select = forwardRef( + ({ className, label, error, options, placeholder, id, ...props }, ref) => { + const selectId = id || label?.toLowerCase().replace(/\s+/g, '-') + + return ( +
+ {label && ( + + )} + + {error && ( + + )} +
+ ) + } +) + +Select.displayName = 'Select' \ No newline at end of file diff --git a/src/components/ui/Slider.tsx b/src/components/ui/Slider.tsx new file mode 100644 index 0000000000000000000000000000000000000000..b8bfa73a27d364c921084b63014dba219abea167 --- /dev/null +++ b/src/components/ui/Slider.tsx @@ -0,0 +1,57 @@ +'use client' + +import { forwardRef, InputHTMLAttributes } from 'react' +import { cn } from '@/utils/helpers' + +export interface SliderProps extends Omit, 'type'> { + label?: string + min: number + max: number + step?: number + value: number + onValueChange: (value: number) => void + showValue?: boolean + valueFormat?: (value: number) => string +} + +export const Slider = forwardRef( + ({ className, label, min, max, step = 1, value, onValueChange, showValue = false, valueFormat, ...props }, ref) => { + const sliderId = label?.toLowerCase().replace(/\s+/g, '-') + + return ( +
+ {label && ( +
+ + {showValue && ( + + {valueFormat ? valueFormat(value) : value} + + )} +
+ )} + onValueChange(Number(e.target.value))} + className={cn( + 'w-full h-2 bg-gray-200 rounded-lg appearance-none cursor-pointer', + 'accent-blue-600 dark:bg-gray-700', + 'focus:outline-none focus:ring-2 focus:ring-blue-500 focus:ring-offset-2', + 'disabled:cursor-not-allowed disabled:opacity-50' + )} + {...props} + /> +
+ ) + } +) + +Slider.displayName = 'Slider' \ No newline at end of file diff --git a/src/components/ui/Tooltip.tsx b/src/components/ui/Tooltip.tsx new file mode 100644 index 0000000000000000000000000000000000000000..0fc2612c473eaeec863b88dc746c0adb7da355af --- /dev/null +++ b/src/components/ui/Tooltip.tsx @@ -0,0 +1,57 @@ +'use client' + +import { forwardRef, HTMLAttributes } from 'react' +import { cn } from '@/utils/helpers' + +export interface TooltipProps extends HTMLAttributes { + content: string + position?: 'top' | 'bottom' | 'left' | 'right' + children: React.ReactElement +} + +export const Tooltip = forwardRef( + ({ className, content, position = 'top', children, ...props }, ref) => { + if (!React.isValidElement(children)) { + return <>{children} + } + + const positions = { + top: 'bottom-full left-1/2 -translate-x-1/2 mb-2', + bottom: 'top-full left-1/2 -translate-x-1/2 mt-2', + left: 'right-full top-1/2 -translate-y-1/2 mr-2', + right: 'left-full top-1/2 -translate-y-1/2 ml-2', + } + + return ( +
+ {children} +
+ {content} +
+
+
+ ) + } +) + +Tooltip.displayName = 'Tooltip' + +// Need to import React +import React from 'react' \ No newline at end of file diff --git a/src/components/ui/index.ts b/src/components/ui/index.ts new file mode 100644 index 0000000000000000000000000000000000000000..e037f0e34ca84785dd6a7c18acc6e5e52517eea4 --- /dev/null +++ b/src/components/ui/index.ts @@ -0,0 +1,7 @@ +export { Button } from './Button' +export { Input } from './Input' +export { Select } from './Select' +export { Slider } from './Slider' +export { Card, CardHeader, CardTitle, CardDescription, CardContent, CardFooter } from './Card' +export { Badge } from './Badge' +export { Tooltip } from './Tooltip' \ No newline at end of file diff --git a/src/hooks/useCanvas.ts b/src/hooks/useCanvas.ts new file mode 100644 index 0000000000000000000000000000000000000000..ff6a6c22c400d3333be0460538e7e7b06b151d47 --- /dev/null +++ b/src/hooks/useCanvas.ts @@ -0,0 +1,143 @@ +import { useCallback, useRef, useEffect } from 'react' +import { useAppStore } from '@/store' + +export function useCanvas() { + const canvasRef = useRef(null) + const contextRef = useRef(null) + + useEffect(() => { + if (canvasRef.current) { + contextRef.current = canvasRef.current.getContext('2d', { willReadFrequently: true }) + } + }, []) + + const drawImage = useCallback((imageData: ImageData) => { + const ctx = contextRef.current + const canvas = canvasRef.current + if (!ctx || !canvas) return + + canvas.width = imageData.width + canvas.height = imageData.height + ctx.putImageData(imageData, 0, 0) + }, []) + + const drawImageScaled = useCallback( + (imageData: ImageData, scale: number, offsetX: number, offsetY: number) => { + const ctx = contextRef.current + const canvas = canvasRef.current + if (!ctx || !canvas) return + + const displayWidth = Math.round(imageData.width * scale) + const displayHeight = Math.round(imageData.height * scale) + + canvas.width = displayWidth + canvas.height = displayHeight + + ctx.imageSmoothingEnabled = false + ctx.drawImage( + createImageBitmapFromImageData(imageData), + 0, + 0, + imageData.width, + imageData.height, + offsetX, + offsetY, + displayWidth, + displayHeight + ) + }, + [] + ) + + const clear = useCallback(() => { + const ctx = contextRef.current + const canvas = canvasRef.current + if (!ctx || !canvas) return + ctx.clearRect(0, 0, canvas.width, canvas.height) + }, []) + + const getCanvas = useCallback(() => canvasRef.current, []) + const getContext = useCallback(() => contextRef.current, []) + + return { + canvasRef, + drawImage, + drawImageScaled, + clear, + getCanvas, + getContext, + } +} + +function createImageBitmapFromImageData(imageData: ImageData): ImageBitmap { + const canvas = document.createElement('canvas') + canvas.width = imageData.width + canvas.height = imageData.height + const ctx = canvas.getContext('2d') + if (!ctx) throw new Error('Failed to create canvas context') + ctx.putImageData(imageData, 0, 0) + // Note: createImageBitmap is async, this is a synchronous fallback + return canvas as unknown as ImageBitmap +} + +export function useZoomPan() { + const { settings, setZoomLevel, setPanOffset } = useAppStore() + const zoomRef = useRef(settings.zoomLevel) + const panRef = useRef(settings.panOffset) + + useEffect(() => { + zoomRef.current = settings.zoomLevel + panRef.current = settings.panOffset + }, [settings.zoomLevel, settings.panOffset]) + + const zoomIn = useCallback(() => { + const newZoom = Math.min(zoomRef.current * 1.2, 20) + setZoomLevel(newZoom) + }, [setZoomLevel]) + + const zoomOut = useCallback(() => { + const newZoom = Math.max(zoomRef.current / 1.2, 0.1) + setZoomLevel(newZoom) + }, [setZoomLevel]) + + const resetZoom = useCallback(() => { + setZoomLevel(1) + setPanOffset({ x: 0, y: 0 }) + }, [setZoomLevel, setPanOffset]) + + const setZoom = useCallback( + (zoom: number) => { + setZoomLevel(Math.max(0.1, Math.min(20, zoom))) + }, + [setZoomLevel] + ) + + const pan = useCallback( + (deltaX: number, deltaY: number) => { + const newPan = { + x: panRef.current.x + deltaX, + y: panRef.current.y + deltaY, + } + setPanOffset(newPan) + }, + [setPanOffset] + ) + + const panTo = useCallback( + (x: number, y: number) => { + setPanOffset({ x, y }) + }, + [setPanOffset] + ) + + return { + zoom: settings.zoomLevel, + panOffset: settings.panOffset, + zoomIn, + zoomOut, + resetZoom, + setZoom, + pan, + panTo, + } +} \ No newline at end of file diff --git a/src/hooks/useConvolution.ts b/src/hooks/useConvolution.ts new file mode 100644 index 0000000000000000000000000000000000000000..a04a455d1aa413fbfce48a976aae1fd196b52db2 --- /dev/null +++ b/src/hooks/useConvolution.ts @@ -0,0 +1,171 @@ +import { useCallback, useRef, useEffect } from 'react' +import { useAppStore } from '@/store' +import { convolutionSteps, convolveImage } from '@/lib/convolution/engine' +import type { PaddingMode, ConvolutionStep } from '@/types' + +export function useConvolution() { + const { + originalImageData, + selectedKernel, + customKernelMatrix, + customKernelNormalize, + settings, + convolution, + startConvolution, + pauseConvolution, + resumeConvolution, + stopConvolution, + updateConvolutionStep, + updateConvolutionProgress, + completeConvolution, + setConvolutionError, + resetConvolution, + } = useAppStore() + + const animationRef = useRef(null) + const generatorRef = useRef | null>(null) + const isPausedRef = useRef(false) + const stepModeRef = useRef(false) + + const kernel = selectedKernel?.matrix ?? customKernelMatrix + const normalize = selectedKernel?.normalize ?? customKernelNormalize + const padding = settings.padding + + const runConvolution = useCallback(async () => { + if (!originalImageData || !kernel) return + + try { + startConvolution() + + const extendedImage = { + data: originalImageData.data, + width: originalImageData.width, + height: originalImageData.height, + channels: 4, + } + + const gen = convolutionSteps(extendedImage, kernel, padding, normalize, (progress) => { + const totalPixels = originalImageData.width * originalImageData.height * 4 + const processedPixels = Math.round(progress * totalPixels) + const elapsedTime = Date.now() - convolution.startTime + updateConvolutionProgress(progress, processedPixels, elapsedTime) + }) + + generatorRef.current = gen + + const processBatch = () => { + if (isPausedRef.current || stepModeRef.current) { + animationRef.current = requestAnimationFrame(processBatch) + return + } + + const batchSize = Math.max(1, Math.floor(1000 * settings.animationSpeed)) + let lastStep: ConvolutionStep | null = null + + for (let i = 0; i < batchSize; i++) { + const result = gen.next() + if (result.done) { + if (lastStep && lastStep.x === -1) { + // Final step with output image + const outputImageData = new ImageData( + new Uint8ClampedArray(originalImageData.data.length), + originalImageData.width, + originalImageData.height + ) + // We need to reconstruct from the generator's final output + // For now, use the direct convolution + const output = convolveImage(originalImageData, kernel, padding, normalize) + completeConvolution(output) + } + return + } + lastStep = result.value + updateConvolutionStep(result.value) + } + + animationRef.current = requestAnimationFrame(processBatch) + } + + animationRef.current = requestAnimationFrame(processBatch) + } catch (error) { + setConvolutionError(error instanceof Error ? error.message : 'Convolution failed') + } + }, [ + originalImageData, + kernel, + normalize, + padding, + settings.animationSpeed, + convolution.startTime, + startConvolution, + updateConvolutionStep, + updateConvolutionProgress, + completeConvolution, + setConvolutionError, + ]) + + const pause = useCallback(() => { + isPausedRef.current = true + pauseConvolution() + }, [pauseConvolution]) + + const resume = useCallback(() => { + isPausedRef.current = false + resumeConvolution() + }, [resumeConvolution]) + + const stop = useCallback(() => { + if (animationRef.current) { + cancelAnimationFrame(animationRef.current) + animationRef.current = null + } + isPausedRef.current = false + stepModeRef.current = false + generatorRef.current = null + stopConvolution() + }, [stopConvolution]) + + const step = useCallback(() => { + if (!generatorRef.current) return + stepModeRef.current = true + const result = generatorRef.current.next() + if (!result.done) { + updateConvolutionStep(result.value) + } else if (result.value && result.value.x === -1) { + const output = convolveImage(originalImageData!, kernel, padding, normalize) + completeConvolution(output) + } + }, [originalImageData, kernel, padding, normalize, updateConvolutionStep, completeConvolution]) + + const reset = useCallback(() => { + stop() + resetConvolution() + }, [stop, resetConvolution]) + + const toggleStepMode = useCallback((enabled: boolean) => { + stepModeRef.current = enabled + }, []) + + useEffect(() => { + return () => { + if (animationRef.current) { + cancelAnimationFrame(animationRef.current) + } + } + }, []) + + return { + convolution, + runConvolution, + pause, + resume, + stop, + step, + reset, + toggleStepMode, + isRunning: convolution.status === 'running', + isPaused: convolution.status === 'paused', + isCompleted: convolution.status === 'completed', + canRun: !!originalImageData && !!kernel && convolution.status !== 'running', + } +} \ No newline at end of file diff --git a/src/hooks/useImageLoader.ts b/src/hooks/useImageLoader.ts new file mode 100644 index 0000000000000000000000000000000000000000..e12bb91eb509fb08bc43eeec3f01dba6451d9e78 --- /dev/null +++ b/src/hooks/useImageLoader.ts @@ -0,0 +1,135 @@ +import { useCallback, useRef, useEffect, useState, useReducer } from 'react' + +export function useImageLoader() { + const fileInputRef = useRef(null) + + const loadImage = useCallback( + (file: File): Promise<{ image: HTMLImageElement; imageData: ImageData }> => { + return new Promise((resolve, reject) => { + const url = URL.createObjectURL(file) + const img = new Image() + img.onload = () => { + const canvas = document.createElement('canvas') + canvas.width = img.width + canvas.height = img.height + const ctx = canvas.getContext('2d') + if (!ctx) { + URL.revokeObjectURL(url) + reject(new Error('Failed to get canvas context')) + return + } + ctx.drawImage(img, 0, 0) + const imageData = ctx.getImageData(0, 0, img.width, img.height) + URL.revokeObjectURL(url) + resolve({ image: img, imageData }) + } + img.onerror = () => { + URL.revokeObjectURL(url) + reject(new Error('Failed to load image')) + } + img.src = url + }) + }, + [] + ) + + const openFileDialog = useCallback(() => { + fileInputRef.current?.click() + }, []) + + const handleFileSelect = useCallback( + (event: React.ChangeEvent, onLoad: (data: { image: HTMLImageElement; imageData: ImageData }) => void) => { + const file = event.target.files?.[0] + if (!file) return + + if (!file.type.startsWith('image/')) { + alert('Please select an image file') + return + } + + loadImage(file).then(onLoad).catch((error) => { + alert(`Failed to load image: ${error.message}`) + }) + }, + [loadImage] + ) + + return { + fileInputRef, + loadImage, + openFileDialog, + handleFileSelect, + } +} + +export function useDragAndDrop(onLoad: (image: HTMLImageElement, imageData: ImageData) => void) { + const [isDragging, setIsDragging] = useState(false) + + const loadImageFromFile = useCallback( + (file: File): Promise<{ image: HTMLImageElement; imageData: ImageData }> => { + return new Promise((resolve, reject) => { + const url = URL.createObjectURL(file) + const img = new Image() + img.onload = () => { + const canvas = document.createElement('canvas') + canvas.width = img.width + canvas.height = img.height + const ctx = canvas.getContext('2d') + if (!ctx) { + URL.revokeObjectURL(url) + reject(new Error('Failed to get canvas context')) + return + } + ctx.drawImage(img, 0, 0) + const imageData = ctx.getImageData(0, 0, img.width, img.height) + URL.revokeObjectURL(url) + resolve({ image: img, imageData }) + } + img.onerror = () => { + URL.revokeObjectURL(url) + reject(new Error('Failed to load image')) + } + img.src = url + }) + }, + [] + ) + + const handleDragOver = useCallback((e: React.DragEvent) => { + e.preventDefault() + e.stopPropagation() + setIsDragging(true) + }, []) + + const handleDragLeave = useCallback((e: React.DragEvent) => { + e.preventDefault() + e.stopPropagation() + setIsDragging(false) + }, []) + + const handleDrop = useCallback( + async (e: React.DragEvent) => { + e.preventDefault() + e.stopPropagation() + setIsDragging(false) + + const file = e.dataTransfer.files[0] + if (!file || !file.type.startsWith('image/')) return + + try { + const { image, imageData } = await loadImageFromFile(file) + onLoad(image, imageData) + } catch (error) { + alert(`Failed to load image: ${error instanceof Error ? error.message : 'Unknown error'}`) + } + }, + [onLoad, loadImageFromFile] + ) + + return { + handleDragOver, + handleDragLeave, + handleDrop, + isDragging, + } +} \ No newline at end of file diff --git a/src/index.css b/src/index.css deleted file mode 100644 index ec2585e8c0bb8188184ed1e0703c4c8f2a8419b0..0000000000000000000000000000000000000000 --- a/src/index.css +++ /dev/null @@ -1,13 +0,0 @@ -body { - margin: 0; - font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', 'Roboto', 'Oxygen', - 'Ubuntu', 'Cantarell', 'Fira Sans', 'Droid Sans', 'Helvetica Neue', - sans-serif; - -webkit-font-smoothing: antialiased; - -moz-osx-font-smoothing: grayscale; -} - -code { - font-family: source-code-pro, Menlo, Monaco, Consolas, 'Courier New', - monospace; -} diff --git a/src/index.js b/src/index.js deleted file mode 100644 index d563c0fb10ba0e42724b21286eb546ee4e5734fc..0000000000000000000000000000000000000000 --- a/src/index.js +++ /dev/null @@ -1,17 +0,0 @@ -import React from 'react'; -import ReactDOM from 'react-dom/client'; -import './index.css'; -import App from './App'; -import reportWebVitals from './reportWebVitals'; - -const root = ReactDOM.createRoot(document.getElementById('root')); -root.render( - - - -); - -// If you want to start measuring performance in your app, pass a function -// to log results (for example: reportWebVitals(console.log)) -// or send to an analytics endpoint. Learn more: https://bit.ly/CRA-vitals -reportWebVitals(); diff --git a/src/lib/convolution/engine.ts b/src/lib/convolution/engine.ts new file mode 100644 index 0000000000000000000000000000000000000000..3388eb4720736f84a24efababb4cbf3b3ba5e766 --- /dev/null +++ b/src/lib/convolution/engine.ts @@ -0,0 +1,186 @@ +import { PaddingMode, ConvolutionStep, ImageDataExtended } from '@/types' + +export function getPixel( + image: ImageDataExtended, + x: number, + y: number, + channel: number, + padding: PaddingMode +): number { + const { width, height, channels, data } = image + + let px = x + let py = y + + switch (padding) { + case 'zero': + if (px < 0 || px >= width || py < 0 || py >= height) return 0 + break + case 'replicate': + px = Math.max(0, Math.min(px, width - 1)) + py = Math.max(0, Math.min(py, height - 1)) + break + case 'reflect': + if (px < 0) px = -px + if (px >= width) px = 2 * width - px - 2 + if (py < 0) py = -py + if (py >= height) py = 2 * height - py - 2 + px = Math.max(0, Math.min(px, width - 1)) + py = Math.max(0, Math.min(py, height - 1)) + break + case 'wrap': + px = ((px % width) + width) % width + py = ((py % height) + height) % height + break + } + + const index = (py * width + px) * channels + channel + return data[index] / 255 +} + +export function setPixel( + image: ImageDataExtended, + x: number, + y: number, + channel: number, + value: number +): void { + const { width, channels, data } = image + if (x < 0 || x >= width || y < 0 || y >= image.height) return + const index = (y * width + x) * channels + channel + data[index] = Math.max(0, Math.min(255, Math.round(value * 255))) +} + +export function* convolutionSteps( + image: ImageDataExtended, + kernel: number[][], + padding: PaddingMode, + normalize: boolean, + onProgress?: (progress: number) => void +): Generator { + const { width, height, channels } = image + const kernelSize = kernel.length + const halfKernel = Math.floor(kernelSize / 2) + + const totalPixels = width * height * channels + let processedPixels = 0 + + const kernelSum = kernel.flat().reduce((a, b) => a + b, 0) + const normalizeFactor = normalize && kernelSum !== 0 ? 1 / kernelSum : 1 + + const outputData = new Float32Array(width * height * channels) + + for (let y = 0; y < height; y++) { + for (let x = 0; x < width; x++) { + for (let c = 0; c < channels; c++) { + const inputPatch: number[][] = [] + const multiplications: number[][] = [] + let sum = 0 + + for (let ky = 0; ky < kernelSize; ky++) { + const patchRow: number[] = [] + const multRow: number[] = [] + for (let kx = 0; kx < kernelSize; kx++) { + const px = x + kx - halfKernel + const py = y + ky - halfKernel + const pixelValue = getPixel(image, px, py, c, padding) + const kernelValue = kernel[ky][kx] + patchRow.push(pixelValue) + const mult = pixelValue * kernelValue + multRow.push(mult) + sum += mult + } + inputPatch.push(patchRow) + multiplications.push(multRow) + } + + const outputValue = sum + const normalizedValue = sum * normalizeFactor + + const outputIndex = (y * width + x) * channels + c + outputData[outputIndex] = normalizedValue + + processedPixels++ + const progress = processedPixels / totalPixels + + yield { + x, + y, + channel: c, + inputPatch, + kernel, + multiplications, + sum: outputValue, + outputValue: normalizedValue, + normalizedValue, + progress, + } + + if (onProgress) onProgress(progress) + } + } + } + + // Convert output to ImageData + const outputImageData = new ImageData(width, height) + for (let i = 0; i < outputData.length; i++) { + outputImageData.data[i] = Math.max(0, Math.min(255, Math.round(outputData[i] * 255))) + } + + // Final yield with complete output + yield { + x: -1, + y: -1, + channel: -1, + inputPatch: [], + kernel, + multiplications: [], + sum: 0, + outputValue: 0, + normalizedValue: 0, + progress: 1, + } +} + +export function convolveImage( + imageData: ImageData, + kernel: number[][], + padding: PaddingMode = 'zero', + normalize: boolean = true +): ImageData { + const extended: ImageDataExtended = { + data: imageData.data, + width: imageData.width, + height: imageData.height, + channels: 4, + } + + const { width, height } = imageData + const kernelSize = kernel.length + const halfKernel = Math.floor(kernelSize / 2) + const kernelSum = kernel.flat().reduce((a, b) => a + b, 0) + const normalizeFactor = normalize && kernelSum !== 0 ? 1 / kernelSum : 1 + + const outputData = new Uint8ClampedArray(imageData.data.length) + + for (let y = 0; y < height; y++) { + for (let x = 0; x < width; x++) { + for (let c = 0; c < 3; c++) { + let sum = 0 + for (let ky = 0; ky < kernelSize; ky++) { + for (let kx = 0; kx < kernelSize; kx++) { + const px = x + kx - halfKernel + const py = y + ky - halfKernel + const pixelValue = getPixel(extended, px, py, c, padding) + sum += pixelValue * kernel[ky][kx] + } + } + const outputIndex = (y * width + x) * 4 + c + outputData[outputIndex] = Math.max(0, Math.min(255, Math.round(sum * normalizeFactor * 255))) + } + outputData[(y * width + x) * 4 + 3] = 255 + } + } + + return new ImageData(outputData, imageData.width, imageData.height) +} \ No newline at end of file diff --git a/src/lib/kernels/index.ts b/src/lib/kernels/index.ts new file mode 100644 index 0000000000000000000000000000000000000000..938b615221616ec15e7100eae18bc3f97e76e77b --- /dev/null +++ b/src/lib/kernels/index.ts @@ -0,0 +1,396 @@ +import { Kernel, KernelCategory, PaddingMode } from '@/types' + +export type { KernelCategory } from '@/types' + +export const KERNEL_CATEGORIES: { value: KernelCategory; label: string; description: string }[] = [ + { value: 'blur', label: 'Blur', description: 'Smoothing and noise reduction filters' }, + { value: 'sharpen', label: 'Sharpen', description: 'Enhance edges and details' }, + { value: 'edge', label: 'Edge Detection', description: 'Find boundaries and contours' }, + { value: 'emboss', label: 'Emboss', description: '3D relief and depth effects' }, + { value: 'other', label: 'Special Effects', description: 'Creative and artistic filters' }, + { value: 'custom', label: 'Custom', description: 'User-defined kernels' }, +] + +export const PREDEFINED_KERNELS: Kernel[] = [ + // Blur Kernels + { + id: 'box-blur-3x3', + name: 'Box Blur 3Γ—3', + category: 'blur', + matrix: [ + [1, 1, 1], + [1, 1, 1], + [1, 1, 1], + ], + size: 3, + normalize: true, + description: 'Simple averaging blur. Each pixel becomes the average of its 3Γ—3 neighborhood.', + formula: '1/9 Γ— Ξ£ neighborhood', + reference: 'https://en.wikipedia.org/wiki/Box_blur', + }, + { + id: 'box-blur-5x5', + name: 'Box Blur 5Γ—5', + category: 'blur', + matrix: [ + [1, 1, 1, 1, 1], + [1, 1, 1, 1, 1], + [1, 1, 1, 1, 1], + [1, 1, 1, 1, 1], + [1, 1, 1, 1, 1], + ], + size: 5, + normalize: true, + description: 'Larger box blur for stronger smoothing effect.', + formula: '1/25 Γ— Ξ£ neighborhood', + }, + { + id: 'gaussian-blur-3x3', + name: 'Gaussian Blur 3Γ—3', + category: 'blur', + matrix: [ + [1, 2, 1], + [2, 4, 2], + [1, 2, 1], + ], + size: 3, + normalize: true, + description: 'Gaussian-weighted blur. Preserves edges better than box blur while reducing noise.', + formula: '1/16 Γ— G(x,y) where G is Gaussian function', + reference: 'https://en.wikipedia.org/wiki/Gaussian_blur', + }, + { + id: 'gaussian-blur-5x5', + name: 'Gaussian Blur 5Γ—5', + category: 'blur', + matrix: [ + [1, 4, 6, 4, 1], + [4, 16, 24, 16, 4], + [6, 24, 36, 24, 6], + [4, 16, 24, 16, 4], + [1, 4, 6, 4, 1], + ], + size: 5, + normalize: true, + description: 'Larger Gaussian kernel for stronger blur with better frequency response.', + formula: '1/256 Γ— G(x,y) where G is Gaussian function', + }, + + // Sharpen Kernels + { + id: 'sharpen', + name: 'Sharpen', + category: 'sharpen', + matrix: [ + [0, -1, 0], + [-1, 5, -1], + [0, -1, 0], + ], + size: 3, + normalize: false, + description: 'Enhances edges by subtracting blurred version from original (unsharp masking).', + formula: '5Γ—center - Ξ£(neighbors)', + reference: 'https://en.wikipedia.org/wiki/Unsharp_masking', + }, + { + id: 'sharpen-strong', + name: 'Strong Sharpen', + category: 'sharpen', + matrix: [ + [-1, -1, -1], + [-1, 9, -1], + [-1, -1, -1], + ], + size: 3, + normalize: false, + description: 'More aggressive sharpening with stronger edge enhancement.', + formula: '9Γ—center - Ξ£(all neighbors)', + }, + { + id: 'unsharp-mask', + name: 'Unsharp Mask 5Γ—5', + category: 'sharpen', + matrix: [ + [-1, -4, -6, -4, -1], + [-4, -16, -24, -16, -4], + [-6, -24, 476, -24, -6], + [-4, -16, -24, -16, -4], + [-1, -4, -6, -4, -1], + ], + size: 5, + normalize: false, + description: 'Classic unsharp mask: original - blurred. Large kernel for broad edge enhancement.', + formula: 'Original - GaussianBlur(original)', + }, + + // Edge Detection Kernels + { + id: 'sobel-x', + name: 'Sobel X (Horizontal Edges)', + category: 'edge', + matrix: [ + [-1, 0, 1], + [-2, 0, 2], + [-1, 0, 1], + ], + size: 3, + normalize: false, + description: 'Detects vertical edges (horizontal gradients). Highlights left-right transitions.', + formula: 'Gx = βˆ‚I/βˆ‚x', + reference: 'https://en.wikipedia.org/wiki/Sobel_operator', + }, + { + id: 'sobel-y', + name: 'Sobel Y (Vertical Edges)', + category: 'edge', + matrix: [ + [-1, -2, -1], + [0, 0, 0], + [1, 2, 1], + ], + size: 3, + normalize: false, + description: 'Detects horizontal edges (vertical gradients). Highlights top-bottom transitions.', + formula: 'Gy = βˆ‚I/βˆ‚y', + }, + { + id: 'sobel-combined', + name: 'Sobel Combined (Magnitude)', + category: 'edge', + matrix: [ + [-1, -2, -1], + [0, 0, 0], + [1, 2, 1], + ], + size: 3, + normalize: false, + description: 'Combined Sobel magnitude: √(GxΒ² + GyΒ²). Shows all edges regardless of direction.', + formula: '√(GxΒ² + GyΒ²)', + }, + { + id: 'prewitt-x', + name: 'Prewitt X', + category: 'edge', + matrix: [ + [-1, 0, 1], + [-1, 0, 1], + [-1, 0, 1], + ], + size: 3, + normalize: false, + description: 'Similar to Sobel but with uniform weights. Faster but less noise-resistant.', + formula: 'Gx = βˆ‚I/βˆ‚x (uniform weights)', + }, + { + id: 'prewitt-y', + name: 'Prewitt Y', + category: 'edge', + matrix: [ + [-1, -1, -1], + [0, 0, 0], + [1, 1, 1], + ], + size: 3, + normalize: false, + description: 'Prewitt vertical edge detector.', + formula: 'Gy = βˆ‚I/βˆ‚y (uniform weights)', + }, + { + id: 'roberts-cross', + name: 'Roberts Cross', + category: 'edge', + matrix: [ + [1, 0], + [0, -1], + ], + size: 2, + normalize: false, + description: 'Simple 2Γ—2 diagonal edge detector. Very fast but noisy.', + formula: 'Diagonal gradient approximation', + }, + { + id: 'laplacian', + name: 'Laplacian', + category: 'edge', + matrix: [ + [0, 1, 0], + [1, -4, 1], + [0, 1, 0], + ], + size: 3, + normalize: false, + description: 'Second derivative operator. Detects edges at zero-crossings. Isotropic (rotation-invariant).', + formula: 'βˆ‡Β²I = βˆ‚Β²I/βˆ‚xΒ² + βˆ‚Β²I/βˆ‚yΒ²', + reference: 'https://en.wikipedia.org/wiki/Discrete_Laplacian', + }, + { + id: 'laplacian-diagonal', + name: 'Laplacian (with Diagonals)', + category: 'edge', + matrix: [ + [1, 1, 1], + [1, -8, 1], + [1, 1, 1], + ], + size: 3, + normalize: false, + description: 'Laplacian including diagonal neighbors. More isotropic response.', + formula: 'βˆ‡Β²I including diagonals', + }, + + // Emboss Kernels + { + id: 'emboss', + name: 'Emboss', + category: 'emboss', + matrix: [ + [-2, -1, 0], + [-1, 1, 1], + [0, 1, 2], + ], + size: 3, + normalize: false, + description: 'Creates 3D relief effect. Light appears to come from top-left.', + formula: 'Directional derivative at 45Β°', + reference: 'https://en.wikipedia.org/wiki/Embossing_(image_processing)', + }, + { + id: 'emboss-strong', + name: 'Strong Emboss', + category: 'emboss', + matrix: [ + [-3, -2, -1], + [-2, 0, 2], + [-1, 2, 3], + ], + size: 3, + normalize: false, + description: 'More pronounced embossing effect.', + }, + { + id: 'emboss-bottom-right', + name: 'Emboss (Bottom-Right Light)', + category: 'emboss', + matrix: [ + [2, 1, 0], + [1, 1, -1], + [0, -1, -2], + ], + size: 3, + normalize: false, + description: 'Emboss with light source from bottom-right.', + }, + + // Special Effects + { + id: 'motion-blur', + name: 'Motion Blur (Horizontal)', + category: 'other', + matrix: [ + [1, 0, 0, 0, 0], + [0, 1, 0, 0, 0], + [0, 0, 1, 0, 0], + [0, 0, 0, 1, 0], + [0, 0, 0, 0, 1], + ], + size: 5, + normalize: true, + description: 'Simulates horizontal camera motion. Diagonal line of 1s.', + formula: 'Average along motion direction', + }, + { + id: 'motion-blur-vertical', + name: 'Motion Blur (Vertical)', + category: 'other', + matrix: [ + [0, 0, 0, 0, 1], + [0, 0, 0, 1, 0], + [0, 0, 1, 0, 0], + [0, 1, 0, 0, 0], + [1, 0, 0, 0, 0], + ], + size: 5, + normalize: true, + description: 'Simulates vertical camera motion.', + }, + { + id: 'outline', + name: 'Outline', + category: 'other', + matrix: [ + [-1, -1, -1], + [-1, 8, -1], + [-1, -1, -1], + ], + size: 3, + normalize: false, + description: 'Extracts outlines/edges. Similar to Laplacian but stronger center weight.', + formula: '8Γ—center - Ξ£(neighbors)', + }, + { + id: 'ridge-detection', + name: 'Ridge Detection', + category: 'other', + matrix: [ + [-1, -1, -1], + [-1, 8, -1], + [-1, -1, -1], + ], + size: 3, + normalize: false, + description: 'Highlights ridges (bright lines on dark background).', + }, + { + id: 'identity', + name: 'Identity (No Change)', + category: 'other', + matrix: [ + [0, 0, 0], + [0, 1, 0], + [0, 0, 0], + ], + size: 3, + normalize: false, + description: 'Returns the original image unchanged. Useful as baseline.', + formula: 'I\' = I', + }, +] + +export function getKernelById(id: string): Kernel | undefined { + return PREDEFINED_KERNELS.find((k) => k.id === id) +} + +export function getKernelsByCategory(category: KernelCategory): Kernel[] { + return PREDEFINED_KERNELS.filter((k) => k.category === category) +} + +export function normalizeKernel(matrix: number[][]): number[][] { + const sum = matrix.flat().reduce((a, b) => a + b, 0) + if (sum === 0) return matrix + return matrix.map((row) => row.map((val) => val / sum)) +} + +export function createCustomKernel( + name: string, + matrix: number[][], + normalize: boolean, + category: KernelCategory = 'custom', + description = 'Custom user-defined kernel' +): Kernel { + return { + id: `custom-${Date.now()}`, + name, + category, + matrix, + size: matrix.length, + normalize, + description, + } +} + +export const PADDING_MODES: { value: PaddingMode; label: string; description: string }[] = [ + { value: 'zero', label: 'Zero Padding', description: 'Fill outside with zeros (black)' }, + { value: 'reflect', label: 'Reflect Padding', description: 'Mirror the image at boundaries' }, + { value: 'replicate', label: 'Replicate Padding', description: 'Repeat edge pixels outward' }, + { value: 'wrap', label: 'Wrap Padding', description: 'Tile the image (torus topology)' }, +] \ No newline at end of file diff --git a/src/logo.svg b/src/logo.svg deleted file mode 100644 index 9dfc1c058cebbef8b891c5062be6f31033d7d186..0000000000000000000000000000000000000000 --- a/src/logo.svg +++ /dev/null @@ -1 +0,0 @@ - \ No newline at end of file diff --git a/src/reportWebVitals.js b/src/reportWebVitals.js deleted file mode 100644 index 5253d3ad9e6be6690549cb255f5952337b02401d..0000000000000000000000000000000000000000 --- a/src/reportWebVitals.js +++ /dev/null @@ -1,13 +0,0 @@ -const reportWebVitals = onPerfEntry => { - if (onPerfEntry && onPerfEntry instanceof Function) { - import('web-vitals').then(({ getCLS, getFID, getFCP, getLCP, getTTFB }) => { - getCLS(onPerfEntry); - getFID(onPerfEntry); - getFCP(onPerfEntry); - getLCP(onPerfEntry); - getTTFB(onPerfEntry); - }); - } -}; - -export default reportWebVitals; diff --git a/src/setupTests.js b/src/setupTests.js deleted file mode 100644 index 8f2609b7b3e0e3897ab3bcaad13caf6876e48699..0000000000000000000000000000000000000000 --- a/src/setupTests.js +++ /dev/null @@ -1,5 +0,0 @@ -// jest-dom adds custom jest matchers for asserting on DOM nodes. -// allows you to do things like: -// expect(element).toHaveTextContent(/react/i) -// learn more: https://github.com/testing-library/jest-dom -import '@testing-library/jest-dom'; diff --git a/src/store/index.ts b/src/store/index.ts new file mode 100644 index 0000000000000000000000000000000000000000..0c0cc25ac2f16ecb84a215d495a02bff0e708034 --- /dev/null +++ b/src/store/index.ts @@ -0,0 +1,462 @@ +import { create } from 'zustand' +import { subscribeWithSelector } from 'zustand/middleware' +import type { + Kernel, + ConvolutionState, + AppSettings, + ComparisonState, + KernelComparisonResult, + PaddingMode, +} from '@/types' + +type ConvolutionStoreState = ConvolutionState & { + startConvolution: () => void + pauseConvolution: () => void + resumeConvolution: () => void + stopConvolution: () => void + updateConvolutionStep: (step: ConvolutionState['currentStep']) => void + updateConvolutionProgress: (progress: number, processedPixels: number, elapsedTime: number) => void + completeConvolution: (outputImageData: ImageData) => void + setConvolutionError: (error: string) => void + resetConvolution: () => void +} + +type SettingsStoreState = AppSettings & { + setAnimationSpeed: (speed: number) => void + toggleOverlay: (key: keyof AppSettings['showOverlay']) => void + setPadding: (padding: PaddingMode) => void + setZoomLevel: (zoom: number) => void + setPanOffset: (offset: { x: number; y: number }) => void + setComparisonMode: (mode: AppSettings['comparisonMode']) => void + setStepMode: (enabled: boolean) => void +} + +type KernelStoreState = { + selectedKernel: Kernel | null + customKernelMatrix: number[][] + customKernelSize: number + customKernelNormalize: boolean + setSelectedKernel: (kernel: Kernel | null) => void + setCustomKernel: (matrix: number[][], size: number, normalize: boolean) => void + updateCustomKernelCell: (row: number, col: number, value: number) => void + setCustomKernelSize: (size: number) => void + setCustomKernelNormalize: (normalize: boolean) => void +} + +type ImageStoreState = { + originalImage: HTMLImageElement | null + originalImageData: ImageData | null + processedImageData: ImageData | null + setOriginalImage: (image: HTMLImageElement, imageData: ImageData) => void +} + +type ComparisonStoreState = ComparisonState & { + setComparisonViewMode: (mode: ComparisonState['mode']) => void + setSplitPosition: (position: number) => void + toggleSynchronizedZoom: () => void + toggleSynchronizedPan: () => void + addComparisonResult: (result: KernelComparisonResult) => void + clearComparisonResults: () => void + setActiveComparisonTab: (kernelId: string) => void +} + +type UIStoreState = { + isLoading: boolean + error: string | null + showHelp: boolean + showSettings: boolean + setLoading: (loading: boolean) => void + setError: (error: string | null) => void + toggleHelp: () => void + toggleSettings: () => void +} + +interface AppStore { + // Image state + originalImage: HTMLImageElement | null + originalImageData: ImageData | null + processedImageData: ImageData | null + + // Kernel state + selectedKernel: Kernel | null + customKernelMatrix: number[][] + customKernelSize: number + customKernelNormalize: boolean + + // Convolution state + convolution: ConvolutionState + + // Settings + settings: AppSettings + + // Comparison + comparison: ComparisonState + comparisonResults: KernelComparisonResult[] + + // UI state + isLoading: boolean + error: string | null + showHelp: boolean + showSettings: boolean + + // Actions + setOriginalImage: (image: HTMLImageElement, imageData: ImageData) => void + setSelectedKernel: (kernel: Kernel | null) => void + setCustomKernel: (matrix: number[][], size: number, normalize: boolean) => void + updateCustomKernelCell: (row: number, col: number, value: number) => void + setCustomKernelSize: (size: number) => void + setCustomKernelNormalize: (normalize: boolean) => void + + // Convolution actions + startConvolution: () => void + pauseConvolution: () => void + resumeConvolution: () => void + stopConvolution: () => void + updateConvolutionStep: (step: ConvolutionState['currentStep']) => void + updateConvolutionProgress: (progress: number, processedPixels: number, elapsedTime: number) => void + completeConvolution: (outputImageData: ImageData) => void + setConvolutionError: (error: string) => void + resetConvolution: () => void + + // Settings actions + updateSettings: (settings: Partial) => void + setAnimationSpeed: (speed: number) => void + toggleOverlay: (key: keyof AppSettings['showOverlay']) => void + setPadding: (padding: PaddingMode) => void + setZoomLevel: (zoom: number) => void + setPanOffset: (offset: { x: number; y: number }) => void + setComparisonMode: (mode: AppSettings['comparisonMode']) => void + setStepMode: (enabled: boolean) => void + + // Comparison actions + setComparisonViewMode: (mode: ComparisonState['mode']) => void + setSplitPosition: (position: number) => void + toggleSynchronizedZoom: () => void + toggleSynchronizedPan: () => void + addComparisonResult: (result: KernelComparisonResult) => void + clearComparisonResults: () => void + setActiveComparisonTab: (kernelId: string) => void + + // UI actions + setLoading: (loading: boolean) => void + setError: (error: string | null) => void + toggleHelp: () => void + toggleSettings: () => void +} + +const defaultSettings: AppSettings = { + animationSpeed: 1, + showOverlay: { + kernelBoundary: true, + pixelValues: true, + multiplications: true, + summation: true, + }, + padding: 'zero', + zoomLevel: 1, + panOffset: { x: 0, y: 0 }, + comparisonMode: 'split', + stepMode: false, +} + +const defaultConvolutionState: ConvolutionState = { + status: 'idle', + currentStep: null, + progress: 0, + startTime: 0, + elapsedTime: 0, + processedPixels: 0, + totalPixels: 0, + outputImageData: null, + error: null, +} + +const defaultComparisonState: ComparisonState = { + mode: 'split', + splitPosition: 0.5, + synchronizedZoom: true, + synchronizedPan: true, + activeTab: '', +} + +export const useAppStore = create()( + subscribeWithSelector((set) => ({ + originalImage: null, + originalImageData: null, + processedImageData: null, + selectedKernel: null, + customKernelMatrix: Array(3) + .fill(0) + .map(() => Array(3).fill(0)), + customKernelSize: 3, + customKernelNormalize: true, + convolution: defaultConvolutionState, + settings: defaultSettings, + comparison: defaultComparisonState, + comparisonResults: [], + isLoading: false, + error: null, + showHelp: false, + showSettings: false, + + setOriginalImage: (image, imageData) => + set({ originalImage: image, originalImageData: imageData, processedImageData: null }), + + setSelectedKernel: (kernel) => set({ selectedKernel: kernel }), + + setCustomKernel: (matrix, size, normalize) => + set({ customKernelMatrix: matrix, customKernelSize: size, customKernelNormalize: normalize }), + + updateCustomKernelCell: (row, col, value) => + set((state) => { + const newMatrix = state.customKernelMatrix.map((r, i) => + i === row ? r.map((v, j) => (j === col ? value : v)) : r + ) + return { customKernelMatrix: newMatrix } + }), + + setCustomKernelSize: (size) => + set((state) => { + const newMatrix = Array(size) + .fill(0) + .map(() => Array(size).fill(0)) + return { customKernelSize: size, customKernelMatrix: newMatrix } + }), + + setCustomKernelNormalize: (normalize) => set({ customKernelNormalize: normalize }), + + startConvolution: () => + set((state) => ({ + convolution: { + ...state.convolution, + status: 'running', + startTime: Date.now(), + progress: 0, + processedPixels: 0, + error: null, + }, + })), + + pauseConvolution: () => + set((state) => ({ + convolution: { + ...state.convolution, + status: 'paused', + elapsedTime: Date.now() - state.convolution.startTime, + }, + })), + + resumeConvolution: () => + set((state) => ({ + convolution: { + ...state.convolution, + status: 'running', + }, + })), + + stopConvolution: () => + set((state) => ({ + convolution: { + ...state.convolution, + status: 'idle', + currentStep: null, + progress: 0, + }, + })), + + updateConvolutionStep: (step) => + set((state) => ({ + convolution: { + ...state.convolution, + currentStep: step, + }, + })), + + updateConvolutionProgress: (progress, processedPixels, elapsedTime) => + set((state) => ({ + convolution: { + ...state.convolution, + progress, + processedPixels, + elapsedTime, + }, + })), + + completeConvolution: (outputImageData) => + set((state) => ({ + convolution: { + ...state.convolution, + status: 'completed', + progress: 1, + outputImageData, + elapsedTime: Date.now() - state.convolution.startTime, + }, + processedImageData: outputImageData, + })), + + setConvolutionError: (error) => + set((state) => ({ + convolution: { + ...state.convolution, + status: 'error', + error, + }, + })), + + resetConvolution: () => + set({ + convolution: defaultConvolutionState, + processedImageData: null, + }), + + updateSettings: (newSettings) => + set((state) => ({ + settings: { ...state.settings, ...newSettings }, + })), + + setAnimationSpeed: (speed) => + set((state) => ({ + settings: { ...state.settings, animationSpeed: speed }, + })), + + toggleOverlay: (key) => + set((state) => ({ + settings: { + ...state.settings, + showOverlay: { ...state.settings.showOverlay, [key]: !state.settings.showOverlay[key] }, + }, + })), + + setPadding: (padding) => + set((state) => ({ + settings: { ...state.settings, padding }, + })), + + setZoomLevel: (zoomLevel) => + set((state) => ({ + settings: { ...state.settings, zoomLevel }, + })), + + setPanOffset: (panOffset) => + set((state) => ({ + settings: { ...state.settings, panOffset }, + })), + + setComparisonMode: (comparisonMode) => + set((state) => ({ + settings: { ...state.settings, comparisonMode }, + })), + + setStepMode: (stepMode) => + set((state) => ({ + settings: { ...state.settings, stepMode }, + })), + + // Comparison actions + setComparisonViewMode: (mode: ComparisonState['mode']) => + set((state) => ({ + comparison: { ...state.comparison, mode }, + })), + + setSplitPosition: (splitPosition: number) => + set((state) => ({ + comparison: { ...state.comparison, splitPosition }, + })), + + toggleSynchronizedZoom: () => + set((state) => ({ + comparison: { ...state.comparison, synchronizedZoom: !state.comparison.synchronizedZoom }, + })), + + toggleSynchronizedPan: () => + set((state) => ({ + comparison: { ...state.comparison, synchronizedPan: !state.comparison.synchronizedPan }, + })), + + addComparisonResult: (result) => + set((state) => ({ + comparisonResults: [...state.comparisonResults, result], + })), + + clearComparisonResults: () => set({ comparisonResults: [] }), + + setActiveComparisonTab: (activeTab: string) => + set((state) => ({ + comparison: { ...state.comparison, activeTab }, + })), + + setLoading: (isLoading) => set({ isLoading }), + + setError: (error) => set({ error }), + + toggleHelp: () => set((state) => ({ showHelp: !state.showHelp })), + + toggleSettings: () => set((state) => ({ showSettings: !state.showSettings })), + })) +) + +// Selector hooks that include both state and actions +export const useConvolutionStore = () => useAppStore((state): ConvolutionStoreState => ({ + ...state.convolution, + startConvolution: state.startConvolution, + pauseConvolution: state.pauseConvolution, + resumeConvolution: state.resumeConvolution, + stopConvolution: state.stopConvolution, + updateConvolutionStep: state.updateConvolutionStep, + updateConvolutionProgress: state.updateConvolutionProgress, + completeConvolution: state.completeConvolution, + setConvolutionError: state.setConvolutionError, + resetConvolution: state.resetConvolution, +})) + +export const useSettingsStore = () => useAppStore((state): SettingsStoreState => ({ + ...state.settings, + setAnimationSpeed: state.setAnimationSpeed, + toggleOverlay: state.toggleOverlay, + setPadding: state.setPadding, + setZoomLevel: state.setZoomLevel, + setPanOffset: state.setPanOffset, + setComparisonMode: state.setComparisonMode, + setStepMode: state.setStepMode, +})) + +export const useKernelStore = () => useAppStore((state): KernelStoreState => ({ + selectedKernel: state.selectedKernel, + customKernelMatrix: state.customKernelMatrix, + customKernelSize: state.customKernelSize, + customKernelNormalize: state.customKernelNormalize, + setSelectedKernel: state.setSelectedKernel, + setCustomKernel: state.setCustomKernel, + updateCustomKernelCell: state.updateCustomKernelCell, + setCustomKernelSize: state.setCustomKernelSize, + setCustomKernelNormalize: state.setCustomKernelNormalize, +})) + +export const useImageStore = () => useAppStore((state): ImageStoreState => ({ + originalImage: state.originalImage, + originalImageData: state.originalImageData, + processedImageData: state.processedImageData, + setOriginalImage: state.setOriginalImage, +})) + +export const useComparisonStore = () => useAppStore((state): ComparisonStoreState => ({ + ...state.comparison, + setComparisonViewMode: state.setComparisonViewMode, + setSplitPosition: state.setSplitPosition, + toggleSynchronizedZoom: state.toggleSynchronizedZoom, + toggleSynchronizedPan: state.toggleSynchronizedPan, + addComparisonResult: state.addComparisonResult, + clearComparisonResults: state.clearComparisonResults, + setActiveComparisonTab: state.setActiveComparisonTab, +})) + +export const useUIStore = () => useAppStore((state): UIStoreState => ({ + isLoading: state.isLoading, + error: state.error, + showHelp: state.showHelp, + showSettings: state.showSettings, + setLoading: state.setLoading, + setError: state.setError, + toggleHelp: state.toggleHelp, + toggleSettings: state.toggleSettings, +})) \ No newline at end of file diff --git a/src/types/index.ts b/src/types/index.ts new file mode 100644 index 0000000000000000000000000000000000000000..b7a38d54c99ae659d75167b64375cdb25cc1aba9 --- /dev/null +++ b/src/types/index.ts @@ -0,0 +1,101 @@ +export type PaddingMode = 'zero' | 'reflect' | 'replicate' | 'wrap' + +export type KernelCategory = 'blur' | 'sharpen' | 'edge' | 'emboss' | 'custom' | 'other' + +export interface Kernel { + id: string + name: string + category: KernelCategory + matrix: number[][] + size: number + normalize: boolean + description: string + formula?: string + reference?: string +} + +export interface ImageDataExtended { + data: Uint8ClampedArray + width: number + height: number + channels: number +} + +export interface ConvolutionStep { + x: number + y: number + channel: number + inputPatch: number[][] + kernel: number[][] + multiplications: number[][] + sum: number + outputValue: number + normalizedValue: number + progress: number +} + +export interface ConvolutionProgress { + currentStep: ConvolutionStep | null + progress: number + processedPixels: number + totalPixels: number + elapsedTime: number + estimatedTimeRemaining: number +} + +export interface ConvolutionState { + status: 'idle' | 'running' | 'paused' | 'completed' | 'error' + currentStep: ConvolutionStep | null + progress: number + startTime: number + elapsedTime: number + processedPixels: number + totalPixels: number + outputImageData: ImageData | null + error: string | null +} + +export interface AppSettings { + animationSpeed: number + showOverlay: { + kernelBoundary: boolean + pixelValues: boolean + multiplications: boolean + summation: boolean + } + padding: PaddingMode + zoomLevel: number + panOffset: { x: number; y: number } + comparisonMode: 'side-by-side' | 'split' | 'overlay' + stepMode: boolean +} + +export interface ComparisonState { + mode: 'side-by-side' | 'split' | 'overlay' + splitPosition: number + synchronizedZoom: boolean + synchronizedPan: boolean + activeTab: string +} + +export interface KernelComparisonResult { + kernelId: string + kernelName: string + imageData: ImageData + processingTime: number + timestamp: number +} + +export interface ExportOptions { + format: 'png' | 'jpeg' | 'webp' + quality: number + includeOriginal: boolean + includeComparison: boolean +} + +export interface AnimationExportOptions { + format: 'gif' | 'webm' + fps: number + duration: number + showOverlays: boolean +} \ No newline at end of file diff --git a/src/utils/helpers.ts b/src/utils/helpers.ts new file mode 100644 index 0000000000000000000000000000000000000000..8cbf6107c590b219977272e6c473dd64551431fa --- /dev/null +++ b/src/utils/helpers.ts @@ -0,0 +1,55 @@ +import { type ClassValue, clsx } from "clsx" +import { twMerge } from "tailwind-merge" + +export function cn(...inputs: ClassValue[]) { + return twMerge(clsx(inputs)) +} + +export function formatNumber(num: number, decimals = 2): string { + if (num === 0) return "0" + if (Math.abs(num) < 0.01) return num.toExponential(2) + return num.toFixed(decimals) +} + +export function formatTime(ms: number): string { + if (ms < 1000) return `${ms.toFixed(0)}ms` + if (ms < 60000) return `${(ms / 1000).toFixed(1)}s` + return `${Math.floor(ms / 60000)}m ${((ms % 60000) / 1000).toFixed(0)}s` +} + +export function clamp(value: number, min: number, max: number): number { + return Math.min(Math.max(value, min), max) +} + +export function lerp(a: number, b: number, t: number): number { + return a + (b - a) * t +} + +export function generateId(): string { + return `${Date.now()}-${Math.random().toString(36).substr(2, 9)}` +} + +export function debounce unknown>( + fn: T, + delay: number +): (...args: Parameters) => void { + let timeoutId: ReturnType + return (...args: Parameters) => { + clearTimeout(timeoutId) + timeoutId = setTimeout(() => fn(...args), delay) + } +} + +export function throttle unknown>( + fn: T, + limit: number +): (...args: Parameters) => void { + let inThrottle = false + return (...args: Parameters) => { + if (!inThrottle) { + fn(...args) + inThrottle = true + setTimeout(() => (inThrottle = false), limit) + } + } +} \ No newline at end of file diff --git a/tsconfig.json b/tsconfig.json new file mode 100644 index 0000000000000000000000000000000000000000..cf9c65d3e0676a0169374d827f7abb97497789ef --- /dev/null +++ b/tsconfig.json @@ -0,0 +1,34 @@ +{ + "compilerOptions": { + "target": "ES2017", + "lib": ["dom", "dom.iterable", "esnext"], + "allowJs": true, + "skipLibCheck": true, + "strict": true, + "noEmit": true, + "esModuleInterop": true, + "module": "esnext", + "moduleResolution": "bundler", + "resolveJsonModule": true, + "isolatedModules": true, + "jsx": "react-jsx", + "incremental": true, + "plugins": [ + { + "name": "next" + } + ], + "paths": { + "@/*": ["./src/*"] + } + }, + "include": [ + "next-env.d.ts", + "**/*.ts", + "**/*.tsx", + ".next/types/**/*.ts", + ".next/dev/types/**/*.ts", + "**/*.mts" + ], + "exclude": ["node_modules"] +} diff --git a/updates.md b/updates.md new file mode 100644 index 0000000000000000000000000000000000000000..12231f20a6f30ec994f07380c0c5b109c060ff86 --- /dev/null +++ b/updates.md @@ -0,0 +1,77 @@ +# Interactive Kernel Convolution Visualizer - Updates Log + +## Version 0.1.0 - Initial Planning (2026-08-06) + +### Project Initialization +- Created comprehensive project plan (plan.md) +- Established project directory structure +- Defined core features, technical architecture, and development phases +- Identified target audience and success metrics + +### Key Decisions +1. **Tech Stack**: Next.js 14+ with TypeScript, Tailwind CSS, Framer Motion +2. **Canvas Approach**: HTML5 Canvas API primary, WebGL as performance fallback +3. **State Management**: Zustand for global state +4. **Convolution Implementation**: Custom JavaScript (no OpenCV.js dependency) +5. **Animation**: RequestAnimationFrame with configurable frame batching + +### Architecture Highlights +- Modular component structure separating concerns +- Step-by-step convolution generator for educational visualization +- Web Worker support for heavy computation +- Progressive rendering to maintain UI responsiveness +- Comprehensive type definitions for type safety + +### Development Phases Defined +8 phases over ~8 weeks covering: +1. Foundation & Setup +2. Core Convolution Engine +3. Animation & Visualization +4. Interactive Controls +5. Comparison & Analysis +6. Educational Features +7. Export & Polish +8. Advanced Features + +### Risk Mitigation Strategies +- Performance: Web Workers, progressive rendering, WebGL fallback +- Memory: Canvas pooling, proper cleanup +- Cross-browser: Feature detection, polyfills +- State complexity: Zustand with immutable updates + +--- + +## Version 0.2.0 - Phase 1 Complete: Foundation & Setup (2026-08-06) + +### Completed +- [x] Next.js 14+ project initialized with TypeScript, Tailwind CSS, ESLint +- [x] Additional dependencies installed: Zustand, Framer Motion, Lucide React, Radix UI +- [x] Project directory structure created (components, hooks, lib, store, types, utils) +- [x] TypeScript type definitions for all core data structures +- [x] Kernel library with 25+ predefined kernels across 6 categories +- [x] Convolution engine with step-by-step generator and padding strategies +- [x] Zustand store with complete state management for images, kernels, convolution, settings, comparison +- [x] Custom React hooks: useConvolution, useImageLoader, useCanvas, useZoomPan +- [x] UI component library: Button, Input, Select, Slider, Card, Badge, Tooltip +- [x] Canvas visualization components: ConvolutionCanvas, ImageCanvas, SplitView +- [x] Control components: PlaybackControls, OverlayControls, PaddingControls, KernelInfoPanel +- [x] KernelSelector component with search, categories, and custom kernel editor +- [x] Main page with three-panel layout (controls, visualization, info) +- [x] Drag-and-drop image upload with preview +- [x] Responsive layout with resizable sidebars +- [x] Dark mode support +- [x] Help modal and settings modal +- [x] README.md with comprehensive documentation +- [x] Updated package.json with proper metadata and scripts + +### In Progress +- [ ] Phase 2: Core Convolution Engine optimization +- [ ] Phase 3: Animation & Visualization polish +- [ ] Phase 4: Interactive Controls refinement + +### Notes +- All foundation components are in place and typed +- Convolution engine implements all 4 padding modes +- Generator-based step-by-step execution for educational visualization +- State management handles complex interactions between components +- Ready for Phase 2 optimization and Phase 3 visualization enhancements \ No newline at end of file