-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathscript.js
More file actions
627 lines (580 loc) · 34.1 KB
/
script.js
File metadata and controls
627 lines (580 loc) · 34.1 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
// ---------------- Global Variables ----------------
let currentImage = null;
const baseFontSize = 7; // Base font size for ASCII art
// ---------------- Helper Functions ----------------
// Clamp a value between min and max.
function clamp(value, min, max) {
return Math.max(min, Math.min(max, value));
}
// Generate a normalized 2D Gaussian kernel.
function gaussianKernel2D(sigma, kernelSize) {
const kernel = [];
const half = Math.floor(kernelSize / 2);
let sum = 0;
for (let y = -half; y <= half; y++) {
const row = [];
for (let x = -half; x <= half; x++) {
const value = Math.exp(-(x * x + y * y) / (2 * sigma * sigma));
row.push(value);
sum += value;
}
kernel.push(row);
}
// Normalize the kernel.
for (let y = 0; y < kernelSize; y++) {
for (let x = 0; x < kernelSize; x++) {
kernel[y][x] /= sum;
}
}
return kernel;
}
// Convolve a 2D image (array) with a 2D kernel.
function convolve2D(img, kernel) {
const height = img.length,
width = img[0].length;
const kernelSize = kernel.length,
half = Math.floor(kernelSize / 2);
const output = [];
for (let y = 0; y < height; y++) {
output[y] = [];
for (let x = 0; x < width; x++) {
let sum = 0;
for (let ky = 0; ky < kernelSize; ky++) {
for (let kx = 0; kx < kernelSize; kx++) {
const yy = y + ky - half;
const xx = x + kx - half;
let pixel = (yy >= 0 && yy < height && xx >= 0 && xx < width) ? img[yy][xx] : 0;
sum += pixel * kernel[ky][kx];
}
}
output[y][x] = sum;
}
}
return output;
}
// Compute the Difference of Gaussians on a 2D grayscale image.
function differenceOfGaussians2D(gray, sigma1, sigma2, kernelSize) {
const kernel1 = gaussianKernel2D(sigma1, kernelSize);
const kernel2 = gaussianKernel2D(sigma2, kernelSize);
const blurred1 = convolve2D(gray, kernel1);
const blurred2 = convolve2D(gray, kernel2);
const height = gray.length,
width = gray[0].length;
const dog = [];
for (let y = 0; y < height; y++) {
dog[y] = [];
for (let x = 0; x < width; x++) {
dog[y][x] = blurred1[y][x] - blurred2[y][x];
}
}
return dog;
}
// Apply the Sobel operator to a 2D image, returning gradient magnitude and angle arrays.
function applySobel2D(img, width, height) {
const mag = [],
angle = [];
for (let y = 0; y < height; y++) {
mag[y] = [];
angle[y] = [];
for (let x = 0; x < width; x++) {
mag[y][x] = 0;
angle[y][x] = 0;
}
}
const kernelX = [[-1, 0, 1], [-2, 0, 2], [-1, 0, 1]];
const kernelY = [[-1, -2, -1], [0, 0, 0], [1, 2, 1]];
for (let y = 1; y < height - 1; y++) {
for (let x = 1; x < width - 1; x++) {
let Gx = 0, Gy = 0;
for (let ky = -1; ky <= 1; ky++) {
for (let kx = -1; kx <= 1; kx++) {
const pixel = img[y + ky][x + kx];
Gx += pixel * kernelX[ky + 1][kx + 1];
Gy += pixel * kernelY[ky + 1][kx + 1];
}
}
const g = Math.sqrt(Gx * Gx + Gy * Gy);
mag[y][x] = g;
let theta = Math.atan2(Gy, Gx) * (180 / Math.PI);
if (theta < 0) theta += 180;
angle[y][x] = theta;
}
}
return { mag, angle };
}
// Non-maximum suppression to thin out the edges.
function nonMaxSuppression(mag, angle, width, height) {
const suppressed = [];
for (let y = 0; y < height; y++) {
suppressed[y] = [];
for (let x = 0; x < width; x++) {
suppressed[y][x] = 0;
}
}
for (let y = 1; y < height - 1; y++) {
for (let x = 1; x < width - 1; x++) {
const currentMag = mag[y][x];
let neighbor1 = 0, neighbor2 = 0;
const theta = angle[y][x];
if ((theta >= 0 && theta < 22.5) || (theta >= 157.5 && theta <= 180)) {
// 0° direction: compare left and right.
neighbor1 = mag[y][x - 1];
neighbor2 = mag[y][x + 1];
} else if (theta >= 22.5 && theta < 67.5) {
// 45° direction: compare top-right and bottom-left.
neighbor1 = mag[y - 1][x + 1];
neighbor2 = mag[y + 1][x - 1];
} else if (theta >= 67.5 && theta < 112.5) {
// 90° direction: compare top and bottom.
neighbor1 = mag[y - 1][x];
neighbor2 = mag[y + 1][x];
} else if (theta >= 112.5 && theta < 157.5) {
// 135° direction: compare top-left and bottom-right.
neighbor1 = mag[y - 1][x - 1];
neighbor2 = mag[y + 1][x + 1];
}
suppressed[y][x] = (currentMag >= neighbor1 && currentMag >= neighbor2) ? currentMag : 0;
}
}
return suppressed;
}
// ---------------- ASCII Art Generation Functions ----------------
// Generate standard ASCII art (non-DOG modes).
function generateASCII(img) {
const edgeMethod = document.querySelector('input[name="edgeMethod"]:checked').value;
if (edgeMethod === 'dog') {
generateContourASCII(img);
return;
}
const canvas = document.getElementById('canvas');
const ctx = canvas.getContext('2d');
const asciiWidth = parseInt(document.getElementById('asciiWidth').value, 10);
const brightness = parseFloat(document.getElementById('brightness').value);
const contrastValue = parseFloat(document.getElementById('contrast').value);
const blurValue = parseFloat(document.getElementById('blur').value);
const ditheringEnabled = document.getElementById('dithering').checked;
const ditherAlgorithm = document.getElementById('ditherAlgorithm').value;
const invertEnabled = document.getElementById('invert').checked;
const ignoreWhite = document.getElementById('ignoreWhite').checked;
const charset = document.getElementById('charset').value;
let gradient;
switch (charset) {
case 'standard': gradient = "@%#*+=-:."; break;
case 'blocks': gradient = "█▓▒░ "; break;
case 'binary': gradient = "01"; break;
case 'manual':
const manualChar = document.getElementById('manualCharInput').value || "0";
gradient = manualChar + " ";
break;
case 'hex': gradient = "0123456789ABCDEF"; break;
case 'detailed':
default: gradient = "$@B%8&WM#*oahkbdpqwmZO0QLCJUYXzcvunxrjft/\\|()1{}[]?-_+~<>i!lI;:,\"^`'.";
break;
}
const nLevels = gradient.length;
const contrastFactor = (259 * (contrastValue + 255)) / (255 * (259 - contrastValue));
const fontAspectRatio = 0.55;
const asciiHeight = Math.round((img.height / img.width) * asciiWidth * fontAspectRatio);
canvas.width = asciiWidth;
canvas.height = asciiHeight;
ctx.filter = blurValue > 0 ? `blur(${blurValue}px)` : "none";
ctx.drawImage(img, 0, 0, asciiWidth, asciiHeight);
const imageData = ctx.getImageData(0, 0, asciiWidth, asciiHeight);
const data = imageData.data;
let gray = [], grayOriginal = [];
for (let i = 0; i < data.length; i += 4) {
let lum = 0.299 * data[i] + 0.587 * data[i+1] + 0.114 * data[i+2];
if (invertEnabled) lum = 255 - lum;
let adjusted = clamp(contrastFactor * (lum - 128) + 128 + brightness, 0, 255);
gray.push(adjusted);
grayOriginal.push(adjusted);
}
let ascii = "";
if (document.querySelector('input[name="edgeMethod"]:checked').value === 'sobel') {
const threshold = parseInt(document.getElementById('edgeThreshold').value, 10);
gray = applyEdgeDetection(gray, asciiWidth, asciiHeight, threshold);
for (let y = 0; y < asciiHeight; y++) {
let line = "";
for (let x = 0; x < asciiWidth; x++) {
const idx = y * asciiWidth + x;
if (ignoreWhite && grayOriginal[idx] === 255) {
line += " ";
continue;
}
const computedLevel = Math.round((gray[idx] / 255) * (nLevels - 1));
line += gradient.charAt(computedLevel);
}
ascii += line + "\n";
}
} else if (ditheringEnabled) {
if (ditherAlgorithm === 'floyd') {
// Floyd–Steinberg dithering
for (let y = 0; y < asciiHeight; y++) {
let line = "";
for (let x = 0; x < asciiWidth; x++) {
const idx = y * asciiWidth + x;
if (ignoreWhite && grayOriginal[idx] === 255) { line += " "; continue; }
let computedLevel = Math.round((gray[idx] / 255) * (nLevels - 1));
line += gradient.charAt(computedLevel);
const newPixel = (computedLevel / (nLevels - 1)) * 255;
const error = gray[idx] - newPixel;
if (x + 1 < asciiWidth) {
gray[idx + 1] = clamp(gray[idx + 1] + error * (7 / 16), 0, 255);
}
if (x - 1 >= 0 && y + 1 < asciiHeight) {
gray[idx - 1 + asciiWidth] = clamp(gray[idx - 1 + asciiWidth] + error * (3 / 16), 0, 255);
}
if (y + 1 < asciiHeight) {
gray[idx + asciiWidth] = clamp(gray[idx + asciiWidth] + error * (5 / 16), 0, 255);
}
if (x + 1 < asciiWidth && y + 1 < asciiHeight) {
gray[idx + asciiWidth + 1] = clamp(gray[idx + asciiWidth + 1] + error * (1 / 16), 0, 255);
}
}
ascii += line + "\n";
}
} else if (ditherAlgorithm === 'atkinson') {
// Atkinson dithering
for (let y = 0; y < asciiHeight; y++) {
let line = "";
for (let x = 0; x < asciiWidth; x++) {
const idx = y * asciiWidth + x;
if (ignoreWhite && grayOriginal[idx] === 255) { line += " "; continue; }
let computedLevel = Math.round((gray[idx] / 255) * (nLevels - 1));
line += gradient.charAt(computedLevel);
const newPixel = (computedLevel / (nLevels - 1)) * 255;
const error = gray[idx] - newPixel;
const diffusion = error / 8;
if (x + 1 < asciiWidth) {
gray[idx + 1] = clamp(gray[idx + 1] + diffusion, 0, 255);
}
if (x + 2 < asciiWidth) {
gray[idx + 2] = clamp(gray[idx + 2] + diffusion, 0, 255);
}
if (y + 1 < asciiHeight) {
if (x - 1 >= 0) {
gray[idx - 1 + asciiWidth] = clamp(gray[idx - 1 + asciiWidth] + diffusion, 0, 255);
}
gray[idx + asciiWidth] = clamp(gray[idx + asciiWidth] + diffusion, 0, 255);
if (x + 1 < asciiWidth) {
gray[idx + asciiWidth + 1] = clamp(gray[idx + asciiWidth + 1] + diffusion, 0, 255);
}
}
if (y + 2 < asciiHeight) {
gray[idx + 2 * asciiWidth] = clamp(gray[idx + 2 * asciiWidth] + diffusion, 0, 255);
}
}
ascii += line + "\n";
}
} else if (ditherAlgorithm === 'noise') {
// Noise dithering
for (let y = 0; y < asciiHeight; y++) {
let line = "";
for (let x = 0; x < asciiWidth; x++) {
const idx = y * asciiWidth + x;
if (ignoreWhite && grayOriginal[idx] === 255) { line += " "; continue; }
const noise = (Math.random() - 0.5) * (255 / nLevels);
const noisyValue = clamp(gray[idx] + noise, 0, 255);
let computedLevel = Math.round((noisyValue / 255) * (nLevels - 1));
line += gradient.charAt(computedLevel);
}
ascii += line + "\n";
}
} else if (ditherAlgorithm === 'ordered') {
// Ordered dithering using a 4x4 Bayer matrix.
const bayer = [
[0, 8, 2, 10],
[12, 4, 14, 6],
[3, 11, 1, 9],
[15, 7, 13, 5]
];
const matrixSize = 4;
for (let y = 0; y < asciiHeight; y++) {
let line = "";
for (let x = 0; x < asciiWidth; x++) {
const idx = y * asciiWidth + x;
if (ignoreWhite && grayOriginal[idx] === 255) { line += " "; continue; }
const p = gray[idx] / 255;
const t = (bayer[y % matrixSize][x % matrixSize] + 0.5) / (matrixSize * matrixSize);
let valueWithDither = p + t - 0.5;
valueWithDither = Math.min(Math.max(valueWithDither, 0), 1);
let computedLevel = Math.floor(valueWithDither * nLevels);
if (computedLevel >= nLevels) computedLevel = nLevels - 1;
line += gradient.charAt(computedLevel);
}
ascii += line + "\n";
}
}
} else {
// Simple mapping without dithering.
for (let y = 0; y < asciiHeight; y++) {
let line = "";
for (let x = 0; x < asciiWidth; x++) {
const idx = y * asciiWidth + x;
if (ignoreWhite && grayOriginal[idx] === 255) { line += " "; continue; }
const computedLevel = Math.round((gray[idx] / 255) * (nLevels - 1));
line += gradient.charAt(computedLevel);
}
ascii += line + "\n";
}
}
document.getElementById('ascii-art').textContent = ascii;
}
// Apply simple Sobel edge detection on a 1D grayscale array.
function applyEdgeDetection(gray, width, height, threshold) {
let edges = new Array(width * height).fill(255);
for (let y = 1; y < height - 1; y++) {
for (let x = 1; x < width - 1; x++) {
let idx = y * width + x;
let a = gray[(y - 1) * width + (x - 1)];
let b = gray[(y - 1) * width + x];
let c = gray[(y - 1) * width + (x + 1)];
let d = gray[y * width + (x - 1)];
let e = gray[y * width + x];
let f = gray[y * width + (x + 1)];
let g = gray[(y + 1) * width + (x - 1)];
let h = gray[(y + 1) * width + x];
let i = gray[(y + 1) * width + (x + 1)];
let Gx = (-1 * a) + (0 * b) + (1 * c) +
(-2 * d) + (0 * e) + (2 * f) +
(-1 * g) + (0 * h) + (1 * i);
let Gy = (-1 * a) + (-2 * b) + (-1 * c) +
(0 * d) + (0 * e) + (0 * f) +
(1 * g) + (2 * h) + (1 * i);
let magVal = Math.sqrt(Gx * Gx + Gy * Gy);
let normalized = (magVal / 1442) * 255;
edges[idx] = normalized > threshold ? 0 : 255;
}
}
return edges;
}
// Generate contour-based ASCII art using DoG and Sobel with non-maximum suppression.
// Now basic adjustments (brightness, contrast, blur, invert) are also applied.
function generateContourASCII(img) {
const canvas = document.getElementById('canvas');
const ctx = canvas.getContext('2d');
const asciiWidth = parseInt(document.getElementById('asciiWidth').value, 10);
const brightness = parseFloat(document.getElementById('brightness').value);
const contrastValue = parseFloat(document.getElementById('contrast').value);
const blurValue = parseFloat(document.getElementById('blur').value);
const invertEnabled = document.getElementById('invert').checked;
const fontAspectRatio = 0.55;
const asciiHeight = Math.round((img.height / img.width) * asciiWidth * fontAspectRatio);
canvas.width = asciiWidth;
canvas.height = asciiHeight;
// Use blur filter if applicable.
ctx.filter = blurValue > 0 ? `blur(${blurValue}px)` : "none";
ctx.drawImage(img, 0, 0, asciiWidth, asciiHeight);
const imageData = ctx.getImageData(0, 0, asciiWidth, asciiHeight);
const data = imageData.data;
let gray2d = [];
const contrastFactor = (259 * (contrastValue + 255)) / (255 * (259 - contrastValue));
for (let y = 0; y < asciiHeight; y++) {
gray2d[y] = [];
for (let x = 0; x < asciiWidth; x++) {
const idx = (y * asciiWidth + x) * 4;
let lum = 0.299 * data[idx] + 0.587 * data[idx+1] + 0.114 * data[idx+2];
if (invertEnabled) lum = 255 - lum;
lum = clamp(contrastFactor * (lum - 128) + 128 + brightness, 0, 255);
gray2d[y][x] = lum;
}
}
const sigma1 = 0.5, sigma2 = 1.0, kernelSize = 3;
const dog = differenceOfGaussians2D(gray2d, sigma1, sigma2, kernelSize);
const { mag, angle } = applySobel2D(dog, asciiWidth, asciiHeight);
const suppressedMag = nonMaxSuppression(mag, angle, asciiWidth, asciiHeight);
const threshold = parseInt(document.getElementById('dogEdgeThreshold').value, 10);
let ascii = "";
for (let y = 0; y < asciiHeight; y++) {
let line = "";
for (let x = 0; x < asciiWidth; x++) {
if (suppressedMag[y][x] > threshold) {
let adjustedAngle = (angle[y][x] + 90) % 180;
let edgeChar = (adjustedAngle < 22.5 || adjustedAngle >= 157.5) ? "-" :
(adjustedAngle < 67.5) ? "/" :
(adjustedAngle < 112.5) ? "|" : "\\";
line += edgeChar;
} else {
line += " ";
}
}
ascii += line + "\n";
}
document.getElementById('ascii-art').textContent = ascii;
}
// ---------------- Download Function ----------------
function downloadPNG() {
const preElement = document.getElementById('ascii-art');
const asciiText = preElement.textContent;
if (!asciiText.trim()) {
alert("No ASCII art to download.");
return;
}
// Split the ASCII art into lines.
const lines = asciiText.split("\n");
// Set a scaling factor (2x resolution for better quality).
const scaleFactor = 2;
// Define the border margin (in final pixels, then scaled)
const borderMargin = 20 * scaleFactor;
// Get computed style values from the pre element.
const computedStyle = window.getComputedStyle(preElement);
const baseFontSize = parseInt(computedStyle.fontSize, 10);
const fontSize = baseFontSize * scaleFactor;
// Create a temporary canvas to measure text dimensions.
const tempCanvas = document.createElement('canvas');
const tempCtx = tempCanvas.getContext('2d');
tempCtx.font = `${fontSize}px Consolas, Monaco, "Liberation Mono", monospace`;
// Determine the maximum line width.
let maxLineWidth = 0;
for (let i = 0; i < lines.length; i++) {
const lineWidth = tempCtx.measureText(lines[i]).width;
if (lineWidth > maxLineWidth) {
maxLineWidth = lineWidth;
}
}
// Calculate the required text dimensions.
const lineHeight = fontSize; // Basic line height.
const textWidth = Math.ceil(maxLineWidth);
const textHeight = Math.ceil(lines.length * lineHeight);
// Create an offscreen canvas with extra space for the border margin.
const canvasWidth = textWidth + 2 * borderMargin;
const canvasHeight = textHeight + 2 * borderMargin;
const offCanvas = document.createElement('canvas');
offCanvas.width = canvasWidth;
offCanvas.height = canvasHeight;
const offCtx = offCanvas.getContext('2d');
// Fill the background based on the current theme.
const bgColor = document.body.classList.contains('light-mode') ? "#fff" : "#000";
offCtx.fillStyle = bgColor;
offCtx.fillRect(0, 0, canvasWidth, canvasHeight);
// Set the font and text styles.
offCtx.font = `${fontSize}px Consolas, Monaco, "Liberation Mono", monospace`;
offCtx.textBaseline = 'top';
offCtx.fillStyle = document.body.classList.contains('light-mode') ? "#000" : "#eee";
// Draw each line of the ASCII art onto the canvas with the margin offset.
for (let i = 0; i < lines.length; i++) {
offCtx.fillText(lines[i], borderMargin, borderMargin + i * lineHeight);
}
// Convert the canvas content to a blob and trigger a download.
offCanvas.toBlob(function(blob) {
const a = document.createElement('a');
a.href = URL.createObjectURL(blob);
a.download = 'ascii_art.png';
a.click();
});
}
// ---------------- Event Listeners ----------------
// File upload event.
document.getElementById('upload').addEventListener('change', function(e) {
const file = e.target.files[0];
if (!file) return;
const reader = new FileReader();
reader.onload = function(event) {
const img = new Image();
img.onload = function() {
currentImage = img;
generateASCII(img);
};
img.src = event.target.result;
document.getElementById('imagePreview').src = event.target.result;
document.getElementById('imagePreview').style.display = "block";
};
reader.readAsDataURL(file);
});
// Update controls when changed.
document.getElementById('asciiWidth').addEventListener('input', updateSettings);
document.getElementById('brightness').addEventListener('input', updateSettings);
document.getElementById('contrast').addEventListener('input', updateSettings);
document.getElementById('blur').addEventListener('input', updateSettings);
document.getElementById('dithering').addEventListener('change', updateSettings);
document.getElementById('ditherAlgorithm').addEventListener('change', updateSettings);
document.getElementById('invert').addEventListener('change', updateSettings);
document.getElementById('ignoreWhite').addEventListener('change', updateSettings);
document.getElementById('theme').addEventListener('change', updateSettings);
document.getElementById('charset').addEventListener('change', function() {
const manualControl = document.getElementById('manualCharControl');
manualControl.style.display = (this.value === 'manual') ? 'flex' : 'none';
updateSettings();
});
document.getElementById('zoom').addEventListener('input', updateSettings);
// Edge detection radio buttons.
document.querySelectorAll('input[name="edgeMethod"]').forEach(function(radio) {
radio.addEventListener('change', function() {
const method = document.querySelector('input[name="edgeMethod"]:checked').value;
document.getElementById('sobelThresholdControl').style.display = (method === 'sobel') ? 'flex' : 'none';
document.getElementById('dogThresholdControl').style.display = (method === 'dog') ? 'flex' : 'none';
// Basic adjustments remain enabled in all modes.
updateSettings();
});
});
document.getElementById('edgeThreshold').addEventListener('input', updateSettings);
document.getElementById('dogEdgeThreshold').addEventListener('input', updateSettings);
// Reset and Copy buttons.
document.getElementById('reset').addEventListener('click', resetSettings);
document.getElementById('copyBtn').addEventListener('click', function() {
const asciiText = document.getElementById('ascii-art').textContent;
navigator.clipboard.writeText(asciiText).then(() => {
const toast = document.getElementById("toast");
toast.classList.add("show");
setTimeout(() => {
toast.classList.remove("show");
}, 2000);
}, () => {
alert('Copy failed!');
});
});
document.getElementById('downloadBtn').addEventListener('click', downloadPNG);
// ---------------- Update and Reset Functions ----------------
function updateSettings() {
document.getElementById('asciiWidthVal').textContent = document.getElementById('asciiWidth').value;
document.getElementById('brightnessVal').textContent = document.getElementById('brightness').value;
document.getElementById('contrastVal').textContent = document.getElementById('contrast').value;
document.getElementById('blurVal').textContent = document.getElementById('blur').value;
document.getElementById('zoomVal').textContent = document.getElementById('zoom').value;
document.getElementById('edgeThresholdVal').textContent = document.getElementById('edgeThreshold').value;
document.getElementById('dogEdgeThresholdVal').textContent = document.getElementById('dogEdgeThreshold').value;
// Update theme.
const theme = document.getElementById('theme').value;
document.body.classList.toggle('light-mode', theme === 'light');
// Adjust ASCII art font size based on zoom.
const zoomPercent = parseInt(document.getElementById('zoom').value, 10);
const newFontSize = (baseFontSize * zoomPercent) / 100;
const asciiArt = document.getElementById('ascii-art');
asciiArt.style.fontSize = newFontSize + "px";
asciiArt.style.lineHeight = newFontSize + "px";
if (currentImage) {
generateASCII(currentImage);
}
}
function resetSettings() {
document.getElementById('asciiWidth').value = 100;
document.getElementById('brightness').value = 0;
document.getElementById('contrast').value = 0;
document.getElementById('blur').value = 0;
document.getElementById('dithering').checked = true;
document.getElementById('ditherAlgorithm').value = 'floyd';
document.getElementById('invert').checked = false;
document.getElementById('ignoreWhite').checked = true;
document.getElementById('charset').value = 'detailed';
document.getElementById('zoom').value = 100;
document.getElementById('edgeNone').checked = true;
document.getElementById('edgeThreshold').value = 100;
document.getElementById('dogEdgeThreshold').value = 100;
document.getElementById('sobelThresholdControl').style.display = 'none';
document.getElementById('dogThresholdControl').style.display = 'none';
// Re-enable basic adjustments.
document.getElementById('brightness').disabled = false;
document.getElementById('contrast').disabled = false;
document.getElementById('blur').disabled = false;
document.getElementById('invert').disabled = false;
updateSettings();
}
window.addEventListener('load', function() {
const defaultImg = new Image();
defaultImg.crossOrigin = "Anonymous";
defaultImg.src = "data:image/jpeg;base64,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";
defaultImg.onload = function() {
currentImage = defaultImg;
generateASCII(defaultImg);
};
});