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index.html
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|
| 1 |
+
<!DOCTYPE html>
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| 2 |
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<html lang="en">
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| 3 |
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<head>
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| 4 |
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>3D CNN Visualizer</title>
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| 7 |
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<!-- Tailwind CSS -->
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| 9 |
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<script src="https://cdn.tailwindcss.com"></script>
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| 10 |
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<script>
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| 11 |
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tailwind.config = {
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theme: {
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extend: {
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colors: {
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'neon-green': '#00ff00',
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+
'dark-green': '#002200',
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},
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| 18 |
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fontFamily: {
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mono: ['ui-monospace', 'SFMono-Regular', 'Menlo', 'Monaco', 'Consolas', 'monospace'],
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}
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| 21 |
+
}
|
| 22 |
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}
|
| 23 |
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}
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</script>
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| 25 |
+
|
| 26 |
+
<!-- Import Map for React & Three.js ecosystem -->
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| 27 |
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<script type="importmap">
|
| 28 |
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{
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| 29 |
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"imports": {
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| 30 |
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"react": "https://esm.sh/react@18.2.0",
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| 31 |
+
"react-dom/client": "https://esm.sh/react-dom@18.2.0/client",
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| 32 |
+
"three": "https://esm.sh/three@0.160.0",
|
| 33 |
+
"@react-three/fiber": "https://esm.sh/@react-three/fiber@8.15.12?external=react,react-dom,three",
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| 34 |
+
"@react-three/drei": "https://esm.sh/@react-three/drei@9.96.1?external=react,react-dom,three,@react-three/fiber",
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| 35 |
+
"lucide-react": "https://esm.sh/lucide-react@0.303.0?external=react"
|
| 36 |
+
}
|
| 37 |
+
}
|
| 38 |
+
</script>
|
| 39 |
+
|
| 40 |
+
<!-- Babel for JSX -->
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| 41 |
+
<script src="https://unpkg.com/@babel/standalone/babel.min.js"></script>
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| 42 |
+
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| 43 |
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<style>
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| 44 |
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body { margin: 0; background-color: #000; overflow: hidden; color: white; }
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| 45 |
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canvas { touch-action: none; }
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| 46 |
+
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| 47 |
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.hud-panel {
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| 48 |
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background: rgba(0, 10, 0, 0.85);
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| 49 |
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border: 1px solid #004400;
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| 50 |
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box-shadow: 0 0 20px rgba(0, 255, 0, 0.1);
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| 51 |
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backdrop-filter: blur(10px);
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| 52 |
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}
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| 53 |
+
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| 54 |
+
.btn-holo {
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| 55 |
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background: linear-gradient(180deg, rgba(0,40,0,0.8) 0%, rgba(0,20,0,0.9) 100%);
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| 56 |
+
border: 1px solid #00ff00;
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| 57 |
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color: #00ff00;
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| 58 |
+
text-shadow: 0 0 5px rgba(0,255,0,0.5);
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| 59 |
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}
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| 60 |
+
.btn-holo:hover:not(:disabled) {
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| 61 |
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background: #00ff00;
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| 62 |
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color: #000;
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| 63 |
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box-shadow: 0 0 15px #00ff00;
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| 64 |
+
}
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| 65 |
+
.btn-holo:disabled {
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| 66 |
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border-color: #004400;
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| 67 |
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color: #004400;
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| 68 |
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cursor: not-allowed;
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| 69 |
+
}
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| 70 |
+
|
| 71 |
+
.neon-text {
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| 72 |
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text-shadow: 0 0 10px rgba(0, 255, 0, 0.6);
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| 73 |
+
}
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| 74 |
+
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| 75 |
+
/* Scanline effect */
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| 76 |
+
.scanlines {
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position: fixed;
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| 78 |
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top: 0; left: 0; width: 100%; height: 100%;
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| 79 |
+
background: linear-gradient(to bottom, rgba(255,255,255,0), rgba(255,255,255,0) 50%, rgba(0,0,0,0.1) 50%, rgba(0,0,0,0.1));
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| 80 |
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background-size: 100% 4px;
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pointer-events: none;
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z-index: 50;
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opacity: 0.3;
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}
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| 85 |
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</style>
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| 86 |
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</head>
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| 87 |
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<body>
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| 88 |
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<div id="root"></div>
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| 89 |
+
<div class="scanlines"></div>
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| 90 |
+
|
| 91 |
+
<script type="text/babel" data-type="module">
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| 92 |
+
import React, { useState, useEffect, useRef, useMemo, useLayoutEffect } from 'react';
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| 93 |
+
import { createRoot } from 'react-dom/client';
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| 94 |
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import { Canvas, useFrame } from '@react-three/fiber';
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| 95 |
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import { Text, Stars, Environment, Grid } from '@react-three/drei';
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| 96 |
+
import * as THREE from 'three';
|
| 97 |
+
import { Play, RotateCcw, Activity, Layers, Cpu, Scan, Zap, BrainCircuit, Eraser } from 'lucide-react';
|
| 98 |
+
|
| 99 |
+
// --- 1. CONFIGURATION ---
|
| 100 |
+
const ARCHITECTURE = [
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| 101 |
+
{ id: 'input', type: 'input', width: 28, height: 28, depth: 1, z: 0, label: 'INPUT (28x28)' },
|
| 102 |
+
{ id: 'conv1', type: 'conv', width: 24, height: 24, depth: 4, z: -15, label: 'CONV LAYER 1' },
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| 103 |
+
{ id: 'pool1', type: 'pool', width: 12, height: 12, depth: 4, z: -25, label: 'POOLING 1' },
|
| 104 |
+
{ id: 'conv2', type: 'conv', width: 8, height: 8, depth: 8, z: -35, label: 'CONV LAYER 2' },
|
| 105 |
+
{ id: 'pool2', type: 'pool', width: 4, height: 4, depth: 8, z: -45, label: 'POOLING 2' },
|
| 106 |
+
{ id: 'flat', type: 'flatten', width: 16, height: 8, depth: 1, z: -52, label: 'FLATTEN' },
|
| 107 |
+
{ id: 'fc', type: 'fc', width: 1, height: 10, depth: 1, z: -62, label: 'CLASSIFICATION' }
|
| 108 |
+
];
|
| 109 |
+
|
| 110 |
+
// --- 2. MATH ENGINE (Synthethic Neural Network) ---
|
| 111 |
+
|
| 112 |
+
// Define vector strokes for digits to generate "ideal" weights
|
| 113 |
+
const DIGIT_STROKES = {
|
| 114 |
+
0: [[[10,2],[4,6],[4,14],[10,18],[16,14],[16,6],[10,2]]],
|
| 115 |
+
1: [[[10,2],[10,18]]],
|
| 116 |
+
2: [[[4,6],[6,2],[14,2],[16,6],[4,18],[18,18]]],
|
| 117 |
+
3: [[[4,4],[16,4],[10,10],[16,16],[4,16]]],
|
| 118 |
+
4: [[[14,2],[4,12],[18,12]],[[14,2],[14,18]]],
|
| 119 |
+
5: [[[16,4],[6,4],[4,10],[16,12],[4,18]]],
|
| 120 |
+
6: [[[16,4],[4,12],[4,16],[10,18],[16,14],[10,10]]],
|
| 121 |
+
7: [[[4,4],[16,4],[8,18]]],
|
| 122 |
+
8: [[[10,10],[4,6],[10,2],[16,6],[10,10],[4,14],[10,18],[16,14],[10,10]]],
|
| 123 |
+
9: [[[16,10],[10,4],[4,8],[10,12],[16,10],[10,18]]]
|
| 124 |
+
};
|
| 125 |
+
|
| 126 |
+
const createGrid = (w, h, val = 0) => Array.from({ length: h }, () => Array(w).fill(val));
|
| 127 |
+
|
| 128 |
+
// Rasterize lines into grid
|
| 129 |
+
const drawLine = (grid, p1, p2, intensity) => {
|
| 130 |
+
let x0 = Math.round(p1[0]), y0 = Math.round(p1[1]);
|
| 131 |
+
let x1 = Math.round(p2[0]), y1 = Math.round(p2[1]);
|
| 132 |
+
const dx = Math.abs(x1 - x0), dy = Math.abs(y1 - y0);
|
| 133 |
+
const sx = (x0 < x1) ? 1 : -1, sy = (y0 < y1) ? 1 : -1;
|
| 134 |
+
let err = dx - dy;
|
| 135 |
+
while(true) {
|
| 136 |
+
if(y0 >= 0 && y0 < 20 && x0 >= 0 && x0 < 20) grid[y0][x0] = Math.max(grid[y0][x0], intensity);
|
| 137 |
+
if(x0 === x1 && y0 === y1) break;
|
| 138 |
+
const e2 = 2 * err;
|
| 139 |
+
if(e2 > -dy) { err -= dy; x0 += sx; }
|
| 140 |
+
if(e2 < dx) { err += dx; y0 += sy; }
|
| 141 |
+
}
|
| 142 |
+
};
|
| 143 |
+
|
| 144 |
+
const gaussianBlur = (grid) => {
|
| 145 |
+
const size = 20;
|
| 146 |
+
const result = createGrid(size, size);
|
| 147 |
+
const kernel = [[0.06, 0.12, 0.06], [0.12, 0.25, 0.12], [0.06, 0.12, 0.06]];
|
| 148 |
+
for(let y=1; y<size-1; y++) {
|
| 149 |
+
for(let x=1; x<size-1; x++) {
|
| 150 |
+
let sum = 0;
|
| 151 |
+
for(let ky=-1; ky<=1; ky++) for(let kx=-1; kx<=1; kx++) sum += grid[y+ky][x+kx] * kernel[ky+1][kx+1];
|
| 152 |
+
result[y][x] = sum;
|
| 153 |
+
}
|
| 154 |
+
}
|
| 155 |
+
return result;
|
| 156 |
+
};
|
| 157 |
+
|
| 158 |
+
// Initialize Brain
|
| 159 |
+
let TRAINED_WEIGHTS = {};
|
| 160 |
+
const trainBrain = () => {
|
| 161 |
+
Object.keys(DIGIT_STROKES).forEach(key => {
|
| 162 |
+
const strokes = DIGIT_STROKES[key];
|
| 163 |
+
const grid = createGrid(20, 20);
|
| 164 |
+
strokes.forEach(part => {
|
| 165 |
+
for(let i=0; i<part.length-1; i++) drawLine(grid, part[i], part[i+1], 1.0);
|
| 166 |
+
});
|
| 167 |
+
// Blur heavily to create a "probability field"
|
| 168 |
+
TRAINED_WEIGHTS[key] = gaussianBlur(gaussianBlur(grid));
|
| 169 |
+
});
|
| 170 |
+
};
|
| 171 |
+
|
| 172 |
+
// Preprocessing
|
| 173 |
+
const getBoundingBox = (grid) => {
|
| 174 |
+
let minX = 28, minY = 28, maxX = 0, maxY = 0, hasPixels = false;
|
| 175 |
+
for(let y=0; y<28; y++) for(let x=0; x<28; x++) if(grid[y][x] > 0.1) {
|
| 176 |
+
hasPixels = true;
|
| 177 |
+
if(x < minX) minX = x;
|
| 178 |
+
if(x > maxX) maxX = x;
|
| 179 |
+
if(y < minY) minY = y;
|
| 180 |
+
if(y > maxY) maxY = y;
|
| 181 |
+
}
|
| 182 |
+
return { minX, minY, w: maxX - minX + 1, h: maxY - minY + 1, hasPixels };
|
| 183 |
+
};
|
| 184 |
+
|
| 185 |
+
const scaleToFit = (grid) => {
|
| 186 |
+
const box = getBoundingBox(grid);
|
| 187 |
+
if(!box.hasPixels) return grid;
|
| 188 |
+
|
| 189 |
+
const canvas = document.createElement('canvas');
|
| 190 |
+
canvas.width = 28; canvas.height = 28;
|
| 191 |
+
const ctx = canvas.getContext('2d');
|
| 192 |
+
|
| 193 |
+
// Draw original data to canvas
|
| 194 |
+
const imgData = ctx.createImageData(28, 28);
|
| 195 |
+
for(let i=0; i<28*28; i++) {
|
| 196 |
+
const val = grid[Math.floor(i/28)][i%28] * 255;
|
| 197 |
+
imgData.data[i*4+0] = val; imgData.data[i*4+1] = val; imgData.data[i*4+2] = val; imgData.data[i*4+3] = 255;
|
| 198 |
+
}
|
| 199 |
+
|
| 200 |
+
// Crop to temporary canvas
|
| 201 |
+
const temp = document.createElement('canvas');
|
| 202 |
+
temp.width = box.w; temp.height = box.h;
|
| 203 |
+
temp.getContext('2d').putImageData(imgData, -box.minX, -box.minY, 0, 0, 28, 28);
|
| 204 |
+
|
| 205 |
+
// Scale and center back to 28x28 (target inner 20x20)
|
| 206 |
+
ctx.clearRect(0,0,28,28);
|
| 207 |
+
const scale = Math.min(20/box.w, 20/box.h);
|
| 208 |
+
ctx.drawImage(temp, (28 - box.w*scale)/2, (28 - box.h*scale)/2, box.w*scale, box.h*scale);
|
| 209 |
+
|
| 210 |
+
const finalData = ctx.getImageData(0,0,28,28).data;
|
| 211 |
+
const finalGrid = createGrid(28,28);
|
| 212 |
+
for(let i=0; i<28*28; i++) finalGrid[Math.floor(i/28)][i%28] = finalData[i*4+1] / 255;
|
| 213 |
+
return finalGrid;
|
| 214 |
+
};
|
| 215 |
+
|
| 216 |
+
const predict = (rawGrid) => {
|
| 217 |
+
const scaled = scaleToFit(rawGrid);
|
| 218 |
+
// Extract center 20x20
|
| 219 |
+
const inputVec = [];
|
| 220 |
+
for(let y=4; y<24; y++) for(let x=4; x<24; x++) inputVec.push(scaled[y][x]);
|
| 221 |
+
|
| 222 |
+
const inputMag = Math.sqrt(inputVec.reduce((acc, v) => acc + v*v, 0));
|
| 223 |
+
const scores = Array(10).fill(0);
|
| 224 |
+
|
| 225 |
+
if(inputMag > 0.1) {
|
| 226 |
+
for(let d=0; d<=9; d++) {
|
| 227 |
+
const proto = TRAINED_WEIGHTS[d];
|
| 228 |
+
const protoVec = [];
|
| 229 |
+
proto.forEach(row => row.forEach(v => protoVec.push(v)));
|
| 230 |
+
|
| 231 |
+
let dot = 0, protoMag = 0;
|
| 232 |
+
for(let i=0; i<400; i++) {
|
| 233 |
+
dot += inputVec[i] * protoVec[i];
|
| 234 |
+
protoMag += protoVec[i] * protoVec[i];
|
| 235 |
+
}
|
| 236 |
+
scores[d] = dot / (inputMag * Math.sqrt(protoMag) + 0.0001);
|
| 237 |
+
}
|
| 238 |
+
}
|
| 239 |
+
|
| 240 |
+
// Softmax
|
| 241 |
+
const exp = scores.map(s => Math.exp(s * 10)); // Amplify differences
|
| 242 |
+
const sum = exp.reduce((a,b) => a+b, 0);
|
| 243 |
+
const probs = sum > 0 ? exp.map(e => e/sum) : Array(10).fill(0);
|
| 244 |
+
return { probs, scaled };
|
| 245 |
+
};
|
| 246 |
+
|
| 247 |
+
const convolve = (input, kernels) => {
|
| 248 |
+
const h = input.length, w = input[0].length, kSize = kernels[0].length;
|
| 249 |
+
return kernels.map(k => {
|
| 250 |
+
const dim = h - kSize + 1;
|
| 251 |
+
const layer = createGrid(dim, dim);
|
| 252 |
+
for(let y=0; y<dim; y++) for(let x=0; x<dim; x++) {
|
| 253 |
+
let sum = 0;
|
| 254 |
+
for(let ky=0; ky<kSize; ky++) for(let kx=0; kx<kSize; kx++) sum += input[y+ky][x+kx] * k[ky][kx];
|
| 255 |
+
layer[y][x] = Math.max(0, sum); // ReLU
|
| 256 |
+
}
|
| 257 |
+
return layer;
|
| 258 |
+
});
|
| 259 |
+
};
|
| 260 |
+
|
| 261 |
+
const maxPool = (inputs) => inputs.map(layer => {
|
| 262 |
+
const h = layer.length, w = layer[0].length;
|
| 263 |
+
const out = createGrid(Math.floor(w/2), Math.floor(h/2));
|
| 264 |
+
for(let y=0; y<out.length; y++) for(let x=0; x<out[0].length; x++)
|
| 265 |
+
out[y][x] = Math.max(layer[y*2][x*2], layer[y*2][x*2+1], layer[y*2+1][x*2], layer[y*2+1][x*2+1]);
|
| 266 |
+
return out;
|
| 267 |
+
});
|
| 268 |
+
|
| 269 |
+
// --- 3. AUDIO ENGINE ---
|
| 270 |
+
class AudioEngine {
|
| 271 |
+
constructor() {
|
| 272 |
+
this.ctx = null;
|
| 273 |
+
this.master = null;
|
| 274 |
+
}
|
| 275 |
+
init() {
|
| 276 |
+
if(this.ctx) return;
|
| 277 |
+
const Ctx = window.AudioContext || window.webkitAudioContext;
|
| 278 |
+
this.ctx = new Ctx();
|
| 279 |
+
this.master = this.ctx.createGain();
|
| 280 |
+
this.master.gain.value = 0.1;
|
| 281 |
+
this.master.connect(this.ctx.destination);
|
| 282 |
+
}
|
| 283 |
+
playTone(freq, type, dur) {
|
| 284 |
+
if(!this.ctx) return;
|
| 285 |
+
if(this.ctx.state === 'suspended') this.ctx.resume();
|
| 286 |
+
const osc = this.ctx.createOscillator();
|
| 287 |
+
const gain = this.ctx.createGain();
|
| 288 |
+
osc.type = type;
|
| 289 |
+
osc.frequency.setValueAtTime(freq, this.ctx.currentTime);
|
| 290 |
+
gain.gain.setValueAtTime(0, this.ctx.currentTime);
|
| 291 |
+
gain.gain.linearRampToValueAtTime(1, this.ctx.currentTime + 0.01);
|
| 292 |
+
gain.gain.exponentialRampToValueAtTime(0.01, this.ctx.currentTime + dur);
|
| 293 |
+
osc.connect(gain);
|
| 294 |
+
gain.connect(this.master);
|
| 295 |
+
osc.start();
|
| 296 |
+
osc.stop(this.ctx.currentTime + dur);
|
| 297 |
+
}
|
| 298 |
+
playStep(step) {
|
| 299 |
+
if(step===0) this.playTone(400, 'sine', 0.1);
|
| 300 |
+
if(step===1) this.playTone(150, 'sawtooth', 0.1);
|
| 301 |
+
if(step===2) this.playTone(200, 'square', 0.1);
|
| 302 |
+
if(step===3) this.playTone(300, 'sawtooth', 0.1);
|
| 303 |
+
if(step===4) this.playTone(600, 'square', 0.1);
|
| 304 |
+
if(step===5) this.playTone(800, 'triangle', 0.1);
|
| 305 |
+
if(step===6) { this.playTone(440, 'sine', 0.3); setTimeout(()=>this.playTone(660,'sine',0.3), 100); }
|
| 306 |
+
}
|
| 307 |
+
}
|
| 308 |
+
const audio = new AudioEngine();
|
| 309 |
+
|
| 310 |
+
// --- 4. 3D COMPONENTS ---
|
| 311 |
+
|
| 312 |
+
const VoxelLayer = ({ config, data, active }) => {
|
| 313 |
+
const meshRef = useRef();
|
| 314 |
+
const dummy = useMemo(() => new THREE.Object3D(), []);
|
| 315 |
+
const color = useMemo(() => new THREE.Color(), []);
|
| 316 |
+
|
| 317 |
+
// Calculate total instances needed
|
| 318 |
+
const count = config.type === 'fc' ? 10 : (config.type === 'flatten' ? 128 : config.width * config.height * config.depth);
|
| 319 |
+
|
| 320 |
+
useLayoutEffect(() => {
|
| 321 |
+
if(!meshRef.current) return;
|
| 322 |
+
let idx = 0;
|
| 323 |
+
|
| 324 |
+
// --- VISUALIZATION LOGIC ---
|
| 325 |
+
if(config.type === 'fc') {
|
| 326 |
+
// Output bars
|
| 327 |
+
for(let i=0; i<10; i++) {
|
| 328 |
+
const val = data[0]?.[i]?.[0] || 0;
|
| 329 |
+
dummy.position.set(0, (4.5 - i) * 0.7, 0);
|
| 330 |
+
dummy.scale.set(val > 0.01 ? 0.5 + val * 4 : 0.5, 0.5, 0.5);
|
| 331 |
+
dummy.updateMatrix();
|
| 332 |
+
meshRef.current.setMatrixAt(idx, dummy.matrix);
|
| 333 |
+
if(active && val > 0.01) color.setHSL(0.33, 1, 0.5);
|
| 334 |
+
else color.setHex(0x002200);
|
| 335 |
+
meshRef.current.setColorAt(idx, color);
|
| 336 |
+
idx++;
|
| 337 |
+
}
|
| 338 |
+
} else if (config.type === 'flatten') {
|
| 339 |
+
// Flatten grid representation
|
| 340 |
+
const flatData = [];
|
| 341 |
+
if(data.length) data.forEach(slice => slice.forEach(row => row.forEach(v => flatData.push(v))));
|
| 342 |
+
for(let y=0; y<8; y++) {
|
| 343 |
+
for(let x=0; x<16; x++) {
|
| 344 |
+
const val = flatData[idx] || 0;
|
| 345 |
+
dummy.position.set((x-8)*0.25, (y-4)*0.25, 0);
|
| 346 |
+
if(val > 0.1) {
|
| 347 |
+
dummy.scale.set(0.9, 0.9, 0.9);
|
| 348 |
+
color.setHSL(0.35, 1, 0.2 + val*0.8);
|
| 349 |
+
} else {
|
| 350 |
+
dummy.scale.set(0,0,0);
|
| 351 |
+
}
|
| 352 |
+
dummy.updateMatrix();
|
| 353 |
+
meshRef.current.setMatrixAt(idx, dummy.matrix);
|
| 354 |
+
meshRef.current.setColorAt(idx, color);
|
| 355 |
+
idx++;
|
| 356 |
+
}
|
| 357 |
+
}
|
| 358 |
+
} else {
|
| 359 |
+
// Convolutional Volumes
|
| 360 |
+
const gap = 0.3;
|
| 361 |
+
const layerW = config.width * 0.2;
|
| 362 |
+
const totalW = (layerW + gap) * config.depth;
|
| 363 |
+
const startX = -totalW / 2;
|
| 364 |
+
|
| 365 |
+
for(let z=0; z<config.depth; z++) {
|
| 366 |
+
const zOff = startX + z * (layerW + gap);
|
| 367 |
+
for(let y=0; y<config.height; y++) {
|
| 368 |
+
for(let x=0; x<config.width; x++) {
|
| 369 |
+
const val = data[z]?.[config.height-1-y]?.[x] || 0;
|
| 370 |
+
dummy.position.set(zOff + x*0.2, (y - config.height/2)*0.2, 0);
|
| 371 |
+
if(val > 0.1) {
|
| 372 |
+
dummy.scale.set(0.9,0.9,0.9);
|
| 373 |
+
color.setHSL(0.35, 1, 0.2 + val*0.8);
|
| 374 |
+
} else {
|
| 375 |
+
dummy.scale.set(0,0,0);
|
| 376 |
+
}
|
| 377 |
+
dummy.updateMatrix();
|
| 378 |
+
meshRef.current.setMatrixAt(idx, dummy.matrix);
|
| 379 |
+
meshRef.current.setColorAt(idx, color);
|
| 380 |
+
idx++;
|
| 381 |
+
}
|
| 382 |
+
}
|
| 383 |
+
}
|
| 384 |
+
}
|
| 385 |
+
meshRef.current.instanceMatrix.needsUpdate = true;
|
| 386 |
+
if(meshRef.current.instanceColor) meshRef.current.instanceColor.needsUpdate = true;
|
| 387 |
+
}, [config, data, active]);
|
| 388 |
+
|
| 389 |
+
return (
|
| 390 |
+
<group position={[0, 0, config.z]}>
|
| 391 |
+
<Text position={[0, config.height * 0.12 + 2, 0]} fontSize={0.6} color={active?"#fff":"#004400"}>
|
| 392 |
+
{config.label}
|
| 393 |
+
</Text>
|
| 394 |
+
<instancedMesh ref={meshRef} args={[undefined, undefined, count]}>
|
| 395 |
+
<boxGeometry args={[0.2, 0.2, 0.2]} />
|
| 396 |
+
<meshStandardMaterial color="#0f0" transparent opacity={0.9} blending={THREE.AdditiveBlending} toneMapped={false} />
|
| 397 |
+
</instancedMesh>
|
| 398 |
+
{config.type === 'fc' && Array.from({length:10}).map((_, i) => (
|
| 399 |
+
<group key={i} position={[0, (4.5 - i) * 0.7, 0]}>
|
| 400 |
+
<Text position={[-1.5, 0, 0]} fontSize={0.4} color="#0f0">{i}</Text>
|
| 401 |
+
<Text position={[4, 0, 0]} fontSize={0.4} color="#fff">
|
| 402 |
+
{((data[0]?.[i]?.[0] || 0) * 100).toFixed(1)}%
|
| 403 |
+
</Text>
|
| 404 |
+
</group>
|
| 405 |
+
))}
|
| 406 |
+
</group>
|
| 407 |
+
);
|
| 408 |
+
};
|
| 409 |
+
|
| 410 |
+
const CameraController = ({ step }) => {
|
| 411 |
+
useFrame((state) => {
|
| 412 |
+
const targetPos = new THREE.Vector3();
|
| 413 |
+
const targetLook = new THREE.Vector3();
|
| 414 |
+
if(step === -1) {
|
| 415 |
+
targetPos.set(25, 10, 5);
|
| 416 |
+
targetLook.set(0, 0, -35);
|
| 417 |
+
} else {
|
| 418 |
+
const zMap = {0:0, 1:-15, 2:-25, 3:-35, 4:-45, 5:-52, 6:-62};
|
| 419 |
+
const z = zMap[step] || 0;
|
| 420 |
+
targetPos.set(18, 5, z + 8);
|
| 421 |
+
targetLook.set(0, 0, z);
|
| 422 |
+
}
|
| 423 |
+
state.camera.position.lerp(targetPos, 0.05);
|
| 424 |
+
const look = new THREE.Vector3(0,0,-1).applyQuaternion(state.camera.quaternion).add(state.camera.position);
|
| 425 |
+
look.lerp(targetLook, 0.05);
|
| 426 |
+
state.camera.lookAt(look);
|
| 427 |
+
});
|
| 428 |
+
return null;
|
| 429 |
+
};
|
| 430 |
+
|
| 431 |
+
// --- 5. DRAWING PAD ---
|
| 432 |
+
const DrawingPad = ({ data, onChange, disabled }) => {
|
| 433 |
+
const canvasRef = useRef(null);
|
| 434 |
+
const [isDrawing, setIsDrawing] = useState(false);
|
| 435 |
+
|
| 436 |
+
useEffect(() => {
|
| 437 |
+
const ctx = canvasRef.current?.getContext('2d');
|
| 438 |
+
if(ctx && data.every(r=>r.every(v=>v===0))) {
|
| 439 |
+
ctx.fillStyle = 'black'; ctx.fillRect(0,0,280,280);
|
| 440 |
+
// Draw Grid
|
| 441 |
+
ctx.strokeStyle = '#002200'; ctx.lineWidth = 1;
|
| 442 |
+
ctx.beginPath();
|
| 443 |
+
for(let i=0; i<=280; i+=28) { ctx.moveTo(i,0); ctx.lineTo(i,280); ctx.moveTo(0,i); ctx.lineTo(280,i); }
|
| 444 |
+
ctx.stroke();
|
| 445 |
+
}
|
| 446 |
+
}, [data]);
|
| 447 |
+
|
| 448 |
+
const getPos = (e) => {
|
| 449 |
+
const r = canvasRef.current.getBoundingClientRect();
|
| 450 |
+
const x = (e.touches?e.touches[0].clientX:e.clientX) - r.left;
|
| 451 |
+
const y = (e.touches?e.touches[0].clientY:e.clientY) - r.top;
|
| 452 |
+
const scaleX = canvasRef.current.width / r.width;
|
| 453 |
+
const scaleY = canvasRef.current.height / r.height;
|
| 454 |
+
return { x: x*scaleX, y: y*scaleY };
|
| 455 |
+
};
|
| 456 |
+
|
| 457 |
+
const draw = (e) => {
|
| 458 |
+
if(disabled || !isDrawing) return;
|
| 459 |
+
const ctx = canvasRef.current.getContext('2d');
|
| 460 |
+
const {x,y} = getPos(e);
|
| 461 |
+
ctx.strokeStyle = '#0f0';
|
| 462 |
+
ctx.lineWidth = 25;
|
| 463 |
+
ctx.lineCap = 'round';
|
| 464 |
+
ctx.shadowBlur = 10; ctx.shadowColor = '#0f0';
|
| 465 |
+
ctx.lineTo(x,y); ctx.stroke();
|
| 466 |
+
ctx.beginPath(); ctx.moveTo(x,y);
|
| 467 |
+
};
|
| 468 |
+
|
| 469 |
+
const start = (e) => {
|
| 470 |
+
if(disabled) return;
|
| 471 |
+
setIsDrawing(true);
|
| 472 |
+
const {x,y} = getPos(e);
|
| 473 |
+
const ctx = canvasRef.current.getContext('2d');
|
| 474 |
+
ctx.beginPath(); ctx.moveTo(x,y);
|
| 475 |
+
};
|
| 476 |
+
|
| 477 |
+
const end = () => {
|
| 478 |
+
if(!isDrawing) return;
|
| 479 |
+
setIsDrawing(false);
|
| 480 |
+
const ctx = canvasRef.current.getContext('2d');
|
| 481 |
+
const temp = document.createElement('canvas'); temp.width=28; temp.height=28;
|
| 482 |
+
temp.getContext('2d').drawImage(canvasRef.current,0,0,28,28);
|
| 483 |
+
const img = temp.getContext('2d').getImageData(0,0,28,28).data;
|
| 484 |
+
const grid = createGrid(28,28);
|
| 485 |
+
for(let i=0; i<28*28; i++) grid[Math.floor(i/28)][i%28] = img[i*4+1]/255;
|
| 486 |
+
onChange(grid);
|
| 487 |
+
};
|
| 488 |
+
|
| 489 |
+
return (
|
| 490 |
+
<canvas ref={canvasRef} width={280} height={280}
|
| 491 |
+
className={`w-[220px] h-[220px] rounded border border-green-800 bg-black cursor-crosshair ${disabled ? 'opacity-50 pointer-events-none' : ''}`}
|
| 492 |
+
onMouseDown={start} onMouseMove={draw} onMouseUp={end} onMouseLeave={()=>setIsDrawing(false)}
|
| 493 |
+
onTouchStart={start} onTouchMove={draw} onTouchEnd={end}
|
| 494 |
+
/>
|
| 495 |
+
);
|
| 496 |
+
};
|
| 497 |
+
|
| 498 |
+
// --- 6. MAIN APP ---
|
| 499 |
+
const App = () => {
|
| 500 |
+
const [activations, setActivations] = useState({});
|
| 501 |
+
const [step, setStep] = useState(-1);
|
| 502 |
+
const [processing, setProcessing] = useState(false);
|
| 503 |
+
const [inputData, setInputData] = useState(createGrid(28,28));
|
| 504 |
+
|
| 505 |
+
useEffect(() => {
|
| 506 |
+
trainBrain();
|
| 507 |
+
reset();
|
| 508 |
+
audio.init();
|
| 509 |
+
}, []);
|
| 510 |
+
|
| 511 |
+
const reset = () => {
|
| 512 |
+
setStep(-1);
|
| 513 |
+
setActivations(ARCHITECTURE.reduce((acc,l) => ({...acc, [l.id]: []}), {}));
|
| 514 |
+
setInputData(createGrid(28,28));
|
| 515 |
+
};
|
| 516 |
+
|
| 517 |
+
const delay = ms => new Promise(r => setTimeout(r, ms));
|
| 518 |
+
|
| 519 |
+
const run = async () => {
|
| 520 |
+
if(processing) return;
|
| 521 |
+
setProcessing(true);
|
| 522 |
+
|
| 523 |
+
// Inference
|
| 524 |
+
const { probs, scaled } = predict(inputData);
|
| 525 |
+
|
| 526 |
+
// Pipeline Animation
|
| 527 |
+
setActivations(prev => ({...prev, input: [scaled]}));
|
| 528 |
+
setStep(0); audio.playStep(0); await delay(600);
|
| 529 |
+
|
| 530 |
+
const k1 = [[[1,1,1],[0,0,0],[-1,-1,-1]], [[1,0,-1],[1,0,-1],[1,0,-1]], [[0,-1,0],[-1,4,-1],[0,-1,0]], [[-1,-1,-1],[-1,8,-1],[-1,-1,-1]]];
|
| 531 |
+
const c1 = convolve(scaled, k1);
|
| 532 |
+
setActivations(prev => ({...prev, conv1: c1}));
|
| 533 |
+
setStep(1); audio.playStep(1); await delay(800);
|
| 534 |
+
|
| 535 |
+
const p1 = maxPool(c1);
|
| 536 |
+
setActivations(prev => ({...prev, pool1: p1}));
|
| 537 |
+
setStep(2); audio.playStep(2); await delay(800);
|
| 538 |
+
|
| 539 |
+
const c2 = p1.map(layer => convolve(layer, [[[0.5,0.5],[0.5,0.5]]])[0]).concat(p1.map(l => l)); // Fake doubling depth
|
| 540 |
+
setActivations(prev => ({...prev, conv2: c2}));
|
| 541 |
+
setStep(3); audio.playStep(3); await delay(800);
|
| 542 |
+
|
| 543 |
+
const p2 = maxPool(c2);
|
| 544 |
+
setActivations(prev => ({...prev, pool2: p2}));
|
| 545 |
+
setStep(4); audio.playStep(4); await delay(800);
|
| 546 |
+
|
| 547 |
+
setActivations(prev => ({...prev, flat: p2}));
|
| 548 |
+
setStep(5); audio.playStep(5); await delay(600);
|
| 549 |
+
|
| 550 |
+
setActivations(prev => ({...prev, fc: [probs.map(p=>[p])]}));
|
| 551 |
+
setStep(6); audio.playStep(6);
|
| 552 |
+
|
| 553 |
+
await delay(3000);
|
| 554 |
+
setProcessing(false);
|
| 555 |
+
setStep(-1);
|
| 556 |
+
};
|
| 557 |
+
|
| 558 |
+
return (
|
| 559 |
+
<div className="w-full h-screen relative bg-black font-mono">
|
| 560 |
+
<Canvas shadows camera={{ position: [25, 10, 5], fov: 45 }}>
|
| 561 |
+
<CameraController step={step} />
|
| 562 |
+
<color attach="background" args={['#000200']} />
|
| 563 |
+
<fog attach="fog" args={['#000200', 20, 90]} />
|
| 564 |
+
<ambientLight intensity={0.2} />
|
| 565 |
+
<pointLight position={[10, 20, 10]} intensity={1.5} color="#00ff00" distance={50} />
|
| 566 |
+
|
| 567 |
+
<group>
|
| 568 |
+
{ARCHITECTURE.map((cfg, i) => (
|
| 569 |
+
<VoxelLayer key={cfg.id} config={cfg} data={activations[cfg.id] || []} active={step===i} />
|
| 570 |
+
))}
|
| 571 |
+
<Grid args={[200, 200]} cellSize={1} cellThickness={1} sectionSize={5} sectionThickness={1.5} fadeDistance={60} sectionColor="#004400" cellColor="#001100" position={[0, -5, -30]} />
|
| 572 |
+
</group>
|
| 573 |
+
|
| 574 |
+
<Stars radius={100} depth={50} count={3000} factor={4} saturation={0} fade speed={1} />
|
| 575 |
+
<Environment preset="city" />
|
| 576 |
+
</Canvas>
|
| 577 |
+
|
| 578 |
+
{/* HUD UI */}
|
| 579 |
+
<div className="absolute inset-0 pointer-events-none flex flex-col justify-between p-4 z-10">
|
| 580 |
+
{/* Header */}
|
| 581 |
+
<div className="flex justify-between items-start">
|
| 582 |
+
<div className="hud-panel p-4 rounded-br-2xl border-l-4 border-l-green-500">
|
| 583 |
+
<h1 className="text-2xl md:text-4xl font-black tracking-tighter neon-text flex items-center gap-3">
|
| 584 |
+
<Cpu className="text-neon-green animate-pulse" /> DEEP <span className="text-neon-green">CNN</span>
|
| 585 |
+
</h1>
|
| 586 |
+
<div className="text-xs text-green-400 mt-2 flex items-center gap-2">
|
| 587 |
+
<Activity size={12} /> SYSTEM: {processing ? "PROCESSING TENSORS..." : "ONLINE"}
|
| 588 |
+
</div>
|
| 589 |
+
</div>
|
| 590 |
+
</div>
|
| 591 |
+
|
| 592 |
+
{/* Controls */}
|
| 593 |
+
<div className="flex flex-col md:flex-row items-end gap-6 pointer-events-auto">
|
| 594 |
+
<div className="hud-panel p-4 rounded-tr-2xl backdrop-blur-xl max-w-sm">
|
| 595 |
+
<div className="flex justify-between items-center mb-2 text-green-400">
|
| 596 |
+
<div className="text-xs font-bold tracking-widest flex items-center gap-2">
|
| 597 |
+
<Scan size={14} /> INPUT SENSOR
|
| 598 |
+
</div>
|
| 599 |
+
<button onClick={reset} disabled={processing} className="hover:text-white transition-colors">
|
| 600 |
+
<RotateCcw size={16} />
|
| 601 |
+
</button>
|
| 602 |
+
</div>
|
| 603 |
+
<DrawingPad data={inputData} onChange={setInputData} disabled={processing} />
|
| 604 |
+
<button onClick={run} disabled={processing} className="w-full mt-4 py-3 rounded btn-holo flex justify-center items-center gap-2 font-bold transition-all">
|
| 605 |
+
{processing ? <Activity className="animate-spin" size={18} /> : <Play size={18} fill="currentColor" />}
|
| 606 |
+
{processing ? 'CALCULATING...' : 'RUN INFERENCE'}
|
| 607 |
+
</button>
|
| 608 |
+
</div>
|
| 609 |
+
|
| 610 |
+
{/* Pipeline Status */}
|
| 611 |
+
<div className="hud-panel p-5 hidden md:block rounded-t-xl min-w-[260px] border-b-0">
|
| 612 |
+
<div className="text-xs text-green-500 font-bold mb-3 flex items-center gap-2">
|
| 613 |
+
<Layers size={14} /> PIPELINE STATUS
|
| 614 |
+
</div>
|
| 615 |
+
<div className="space-y-2">
|
| 616 |
+
{ARCHITECTURE.map((l, i) => (
|
| 617 |
+
<div key={l.id} className={`flex items-center gap-3 text-xs transition-all duration-300 ${step===i ? 'text-white translate-x-2' : 'text-green-900'}`}>
|
| 618 |
+
<div className={`w-2 h-2 rounded-sm ${step===i ? 'bg-neon-green shadow-[0_0_8px_#0f0]' : 'bg-green-900'}`} />
|
| 619 |
+
<span className={step===i ? 'font-bold' : ''}>{l.label}</span>
|
| 620 |
+
{step===i && <Zap size={10} className="ml-auto text-yellow-400 animate-pulse" />}
|
| 621 |
+
</div>
|
| 622 |
+
))}
|
| 623 |
+
</div>
|
| 624 |
+
</div>
|
| 625 |
+
</div>
|
| 626 |
+
</div>
|
| 627 |
+
</div>
|
| 628 |
+
);
|
| 629 |
+
};
|
| 630 |
+
|
| 631 |
+
const root = createRoot(document.getElementById('root'));
|
| 632 |
+
root.render(<App />);
|
| 633 |
+
</script>
|
| 634 |
+
</body>
|
| 635 |
+
</html>
|