File size: 29,008 Bytes
425d1ae
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0, maximum-scale=1.0, user-scalable=no">
    <title>Mobile Face Swap</title>
    <script src="https://cdn.tailwindcss.com"></script>
    <script src="https://cdn.jsdelivr.net/npm/[email protected]/dist/face-api.min.js"></script>
    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.0/css/all.min.css">
    <style>
        #canvas {
            max-width: 100%;
            height: auto;
            display: block;
            margin: 0 auto;
            border-radius: 12px;
        }
        
        #preview {
            max-width: 100%;
            height: auto;
            display: block;
            margin: 0 auto;
            border-radius: 12px;
        }
        
        .camera-container {
            position: relative;
            margin: 0 auto;
            width: 100%;
            max-width: 400px;
        }
        
        .face-landmark {
            position: absolute;
            width: 8px;
            height: 8px;
            background-color: red;
            border-radius: 50%;
            transform: translate(-4px, -4px);
        }
        
        .loading-spinner {
            animation: spin 1s linear infinite;
        }
        
        @keyframes spin {
            0% { transform: rotate(0deg); }
            100% { transform: rotate(360deg); }
        }
        
        .tab-content {
            display: none;
        }
        
        .tab-content.active {
            display: block;
        }
        
        .tab-button.active {
            border-bottom: 3px solid #3b82f6;
            color: #3b82f6;
        }
        
        #swapResult {
            transition: all 0.3s ease;
        }
        
        .face-box {
            position: absolute;
            border: 2px solid #3b82f6;
            background-color: rgba(59, 130, 246, 0.2);
        }
    </style>
</head>
<body class="bg-gray-100 min-h-screen">
    <div class="container mx-auto px-4 py-8 max-w-md">
        <header class="text-center mb-8">
            <h1 class="text-3xl font-bold text-gray-800">
                <i class="fas fa-user-astronaut text-blue-500"></i> Face Swap
            </h1>
            <p class="text-gray-600 mt-2">Swap faces between photos in real-time</p>
        </header>
        
        <div class="bg-white rounded-xl shadow-lg p-6 mb-6">
            <div class="flex border-b border-gray-200">
                <button class="tab-button active px-4 py-2 font-medium text-gray-700" data-tab="camera">
                    <i class="fas fa-camera mr-2"></i>Camera
                </button>
                <button class="tab-button px-4 py-2 font-medium text-gray-700" data-tab="upload">
                    <i class="fas fa-upload mr-2"></i>Upload
                </button>
                <button class="tab-button px-4 py-2 font-medium text-gray-700" data-tab="gallery">
                    <i class="fas fa-images mr-2"></i>Gallery
                </button>
            </div>
            
            <!-- Camera Tab -->
            <div id="camera" class="tab-content active mt-4">
                <div class="camera-container">
                    <video id="video" autoplay muted playsinline class="w-full rounded-lg hidden"></video>
                    <canvas id="canvas" class="hidden"></canvas>
                    <div id="preview-container" class="hidden">
                        <img id="preview" src="" alt="Preview">
                        <div id="face-boxes"></div>
                    </div>
                    
                    <div id="camera-controls" class="flex justify-center mt-4 space-x-4">
                        <button id="startCamera" class="bg-blue-500 hover:bg-blue-600 text-white px-6 py-2 rounded-full">
                            <i class="fas fa-play mr-2"></i>Start Camera
                        </button>
                        <button id="capture" class="bg-green-500 hover:bg-green-600 text-white px-6 py-2 rounded-full hidden">
                            <i class="fas fa-camera mr-2"></i>Capture
                        </button>
                    </div>
                </div>
            </div>
            
            <!-- Upload Tab -->
            <div id="upload" class="tab-content mt-4">
                <div class="text-center">
                    <label class="block mb-4">
                        <span class="text-gray-700">First Face Image</span>
                        <input type="file" id="image1" accept="image/*" class="mt-1 block w-full text-sm text-gray-500
                            file:mr-4 file:py-2 file:px-4
                            file:rounded-full file:border-0
                            file:text-sm file:font-semibold
                            file:bg-blue-50 file:text-blue-700
                            hover:file:bg-blue-100">
                    </label>
                    
                    <label class="block mb-4">
                        <span class="text-gray-700">Second Face Image</span>
                        <input type="file" id="image2" accept="image/*" class="mt-1 block w-full text-sm text-gray-500
                            file:mr-4 file:py-2 file:px-4
                            file:rounded-full file:border-0
                            file:text-sm file:font-semibold
                            file:bg-blue-50 file:text-blue-700
                            hover:file:bg-blue-100">
                    </label>
                    
                    <button id="processUpload" class="bg-blue-500 hover:bg-blue-600 text-white px-6 py-2 rounded-full">
                        <i class="fas fa-exchange-alt mr-2"></i>Swap Faces
                    </button>
                </div>
            </div>
            
            <!-- Gallery Tab -->
            <div id="gallery" class="tab-content mt-4">
                <div class="text-center">
                    <p class="text-gray-600 mb-4">Select from sample images</p>
                    
                    <div class="grid grid-cols-2 gap-4 mb-6">
                        <div class="cursor-pointer" onclick="selectSampleImage('sample1a', 'sample1b')">
                            <img src="https://images.unsplash.com/photo-1507003211169-0a1dd7228f2d?w=200&h=200&fit=crop" class="w-full rounded-lg">
                            <img src="https://images.unsplash.com/photo-1531123897727-8f129e1688ce?w=200&h=200&fit=crop" class="w-full rounded-lg mt-2">
                            <p class="text-sm mt-1">Sample 1</p>
                        </div>
                        <div class="cursor-pointer" onclick="selectSampleImage('sample2a', 'sample2b')">
                            <img src="https://images.unsplash.com/photo-1554151228-14d9def656e4?w=200&h=200&fit=crop" class="w-full rounded-lg">
                            <img src="https://images.unsplash.com/photo-1494790108377-be9c29b29330?w=200&h=200&fit=crop" class="w-full rounded-lg mt-2">
                            <p class="text-sm mt-1">Sample 2</p>
                        </div>
                    </div>
                    
                    <button id="processGallery" class="bg-blue-500 hover:bg-blue-600 text-white px-6 py-2 rounded-full">
                        <i class="fas fa-exchange-alt mr-2"></i>Swap Faces
                    </button>
                </div>
            </div>
        </div>
        
        <!-- Result Section -->
        <div id="result-section" class="bg-white rounded-xl shadow-lg p-6 hidden">
            <h2 class="text-xl font-bold text-gray-800 mb-4">
                <i class="fas fa-magic mr-2 text-blue-500"></i>Result
            </h2>
            
            <div class="flex justify-center mb-4">
                <img id="swapResult" src="" alt="Face Swap Result" class="max-w-full rounded-lg">
            </div>
            
            <div class="flex justify-center space-x-4">
                <button id="saveResult" class="bg-green-500 hover:bg-green-600 text-white px-6 py-2 rounded-full">
                    <i class="fas fa-save mr-2"></i>Save
                </button>
                <button id="newSwap" class="bg-blue-500 hover:bg-blue-600 text-white px-6 py-2 rounded-full">
                    <i class="fas fa-redo mr-2"></i>New Swap
                </button>
            </div>
        </div>
        
        <!-- Loading Indicator -->
        <div id="loading" class="fixed inset-0 bg-black bg-opacity-50 flex items-center justify-center hidden z-50">
            <div class="bg-white p-6 rounded-lg shadow-xl text-center">
                <div class="loading-spinner inline-block text-blue-500 text-4xl mb-4">
                    <i class="fas fa-spinner"></i>
                </div>
                <p class="text-lg font-medium">Processing faces...</p>
                <p class="text-sm text-gray-600 mt-2" id="loadingStatus">Detecting facial landmarks</p>
            </div>
        </div>
    </div>

    <script>
        // Global variables
        let videoStream;
        let faceImages = {
            image1: null,
            image2: null
        };
        let modelsLoaded = false;
        
        // DOM elements
        const video = document.getElementById('video');
        const canvas = document.getElementById('canvas');
        const preview = document.getElementById('preview');
        const previewContainer = document.getElementById('preview-container');
        const faceBoxes = document.getElementById('face-boxes');
        const swapResult = document.getElementById('swapResult');
        const resultSection = document.getElementById('result-section');
        const loading = document.getElementById('loading');
        const loadingStatus = document.getElementById('loadingStatus');
        
        // Tab switching
        document.querySelectorAll('.tab-button').forEach(button => {
            button.addEventListener('click', () => {
                document.querySelectorAll('.tab-button').forEach(btn => btn.classList.remove('active'));
                document.querySelectorAll('.tab-content').forEach(content => content.classList.remove('active'));
                
                button.classList.add('active');
                document.getElementById(button.dataset.tab).classList.add('active');
                
                // Stop camera when switching tabs
                if (button.dataset.tab !== 'camera' && videoStream) {
                    stopCamera();
                }
            });
        });
        
        // Initialize camera
        document.getElementById('startCamera').addEventListener('click', async () => {
            try {
                const stream = await navigator.mediaDevices.getUserMedia({ 
                    video: { 
                        width: { ideal: 640 }, 
                        height: { ideal: 480 },
                        facingMode: 'user' 
                    }, 
                    audio: false 
                });
                
                video.srcObject = stream;
                videoStream = stream;
                video.classList.remove('hidden');
                document.getElementById('capture').classList.remove('hidden');
                document.getElementById('startCamera').classList.add('hidden');
                
                // Load models if not already loaded
                if (!modelsLoaded) {
                    await loadModels();
                }
            } catch (err) {
                alert('Could not access the camera. Please make sure you have granted camera permissions.');
                console.error(err);
            }
        });
        
        // Capture photo from camera
        document.getElementById('capture').addEventListener('click', () => {
            const context = canvas.getContext('2d');
            canvas.width = video.videoWidth;
            canvas.height = video.videoHeight;
            context.drawImage(video, 0, 0, canvas.width, canvas.height);
            
            // Show preview
            preview.src = canvas.toDataURL('image/png');
            previewContainer.classList.remove('hidden');
            video.classList.add('hidden');
            
            // Process the captured image
            processImage(canvas).then(faces => {
                if (faces.length > 0) {
                    faceImages.image1 = canvas;
                    showFaceBoxes(faces);
                    alert('Face captured! Now switch to upload tab to select the second face.');
                } else {
                    alert('No faces detected. Please try again.');
                    previewContainer.classList.add('hidden');
                    video.classList.remove('hidden');
                }
            });
        });
        
        // Process uploaded images
        document.getElementById('processUpload').addEventListener('click', async () => {
            const image1Input = document.getElementById('image1');
            const image2Input = document.getElementById('image2');
            
            if (!image1Input.files[0] || !image2Input.files[0]) {
                alert('Please select both images first');
                return;
            }
            
            showLoading('Loading and processing images...');
            
            try {
                // Load models if not already loaded
                if (!modelsLoaded) {
                    await loadModels();
                }
                
                // Process first image
                const img1 = await loadImage(image1Input.files[0]);
                const faces1 = await faceapi.detectAllFaces(img1).withFaceLandmarks().run();
                
                if (faces1.length === 0) {
                    hideLoading();
                    alert('No face detected in the first image');
                    return;
                }
                
                // Process second image
                const img2 = await loadImage(image2Input.files[0]);
                const faces2 = await faceapi.detectAllFaces(img2).withFaceLandmarks().run();
                
                if (faces2.length === 0) {
                    hideLoading();
                    alert('No face detected in the second image');
                    return;
                }
                
                // Perform face swap
                loadingStatus.textContent = 'Swapping faces...';
                const result = await swapFaces(img1, faces1[0], img2, faces2[0]);
                
                // Show result
                swapResult.src = result.toDataURL('image/png');
                resultSection.classList.remove('hidden');
                hideLoading();
                
                // Scroll to result
                resultSection.scrollIntoView({ behavior: 'smooth' });
            } catch (err) {
                hideLoading();
                alert('An error occurred while processing the images');
                console.error(err);
            }
        });
        
        // Process gallery images
        document.getElementById('processGallery').addEventListener('click', async () => {
            if (!window.selectedSample1 || !window.selectedSample2) {
                alert('Please select a sample pair first');
                return;
            }
            
            showLoading('Processing sample images...');
            
            try {
                // Load models if not already loaded
                if (!modelsLoaded) {
                    await loadModels();
                }
                
                // Process first image
                const img1 = await loadImageFromUrl(window.selectedSample1);
                const faces1 = await faceapi.detectAllFaces(img1).withFaceLandmarks().run();
                
                if (faces1.length === 0) {
                    hideLoading();
                    alert('No face detected in the first image');
                    return;
                }
                
                // Process second image
                const img2 = await loadImageFromUrl(window.selectedSample2);
                const faces2 = await faceapi.detectAllFaces(img2).withFaceLandmarks().run();
                
                if (faces2.length === 0) {
                    hideLoading();
                    alert('No face detected in the second image');
                    return;
                }
                
                // Perform face swap
                loadingStatus.textContent = 'Swapping faces...';
                const result = await swapFaces(img1, faces1[0], img2, faces2[0]);
                
                // Show result
                swapResult.src = result.toDataURL('image/png');
                resultSection.classList.remove('hidden');
                hideLoading();
                
                // Scroll to result
                resultSection.scrollIntoView({ behavior: 'smooth' });
            } catch (err) {
                hideLoading();
                alert('An error occurred while processing the images');
                console.error(err);
            }
        });
        
        // Save result
        document.getElementById('saveResult').addEventListener('click', () => {
            if (!swapResult.src) return;
            
            const link = document.createElement('a');
            link.download = 'face-swap-result.png';
            link.href = swapResult.src;
            document.body.appendChild(link);
            link.click();
            document.body.removeChild(link);
        });
        
        // New swap
        document.getElementById('newSwap').addEventListener('click', () => {
            resultSection.classList.add('hidden');
            
            // Reset camera tab
            if (videoStream) {
                stopCamera();
                video.classList.remove('hidden');
                previewContainer.classList.add('hidden');
                document.getElementById('startCamera').classList.remove('hidden');
                document.getElementById('capture').classList.add('hidden');
            }
            
            // Reset upload tab
            document.getElementById('image1').value = '';
            document.getElementById('image2').value = '';
            
            // Reset gallery tab
            window.selectedSample1 = null;
            window.selectedSample2 = null;
        });
        
        // Helper functions
        async function loadModels() {
            showLoading('Loading face detection models...');
            
            await faceapi.nets.tinyFaceDetector.loadFromUri('https://justadudewhohacks.github.io/face-api.js/models');
            await faceapi.nets.faceLandmark68Net.loadFromUri('https://justadudewhohacks.github.io/face-api.js/models');
            
            modelsLoaded = true;
            hideLoading();
        }
        
        function loadImage(file) {
            return new Promise((resolve, reject) => {
                const img = new Image();
                img.onload = () => resolve(img);
                img.onerror = reject;
                img.src = URL.createObjectURL(file);
            });
        }
        
        function loadImageFromUrl(url) {
            return new Promise((resolve, reject) => {
                const img = new Image();
                img.crossOrigin = 'Anonymous';
                img.onload = () => resolve(img);
                img.onerror = reject;
                img.src = url;
            });
        }
        
        async function processImage(imageElement) {
            showLoading('Detecting faces...');
            
            try {
                const detections = await faceapi.detectAllFaces(imageElement)
                    .withFaceLandmarks()
                    .run();
                
                hideLoading();
                return detections;
            } catch (err) {
                hideLoading();
                console.error(err);
                return [];
            }
        }
        
        function showFaceBoxes(faces) {
            faceBoxes.innerHTML = '';
            
            faces.forEach(face => {
                const box = face.detection.box;
                const faceBox = document.createElement('div');
                faceBox.className = 'face-box';
                faceBox.style.width = `${box.width}px`;
                faceBox.style.height = `${box.height}px`;
                faceBox.style.left = `${box.x}px`;
                faceBox.style.top = `${box.y}px`;
                faceBoxes.appendChild(faceBox);
            });
        }
        
        function stopCamera() {
            if (videoStream) {
                videoStream.getTracks().forEach(track => track.stop());
                videoStream = null;
                video.srcObject = null;
                video.classList.add('hidden');
                document.getElementById('capture').classList.add('hidden');
                document.getElementById('startCamera').classList.remove('hidden');
                previewContainer.classList.add('hidden');
            }
        }
        
        function showLoading(message) {
            loadingStatus.textContent = message;
            loading.classList.remove('hidden');
        }
        
        function hideLoading() {
            loading.classList.add('hidden');
        }
        
        // Sample image selection
        window.selectSampleImage = function(img1, img2) {
            window.selectedSample1 = `https://images.unsplash.com/photo-${getImageId(img1)}?w=800&h=800&fit=crop`;
            window.selectedSample2 = `https://images.unsplash.com/photo-${getImageId(img2)}?w=800&h=800&fit=crop`;
            
            // Highlight selected sample
            document.querySelectorAll('#gallery .cursor-pointer').forEach(el => {
                el.classList.remove('ring-2', 'ring-blue-500');
            });
            event.currentTarget.classList.add('ring-2', 'ring-blue-500');
        };
        
        function getImageId(img) {
            const samples = {
                'sample1a': '1507003211169-0a1dd7228f2d',
                'sample1b': '1531123897727-8f129e1688ce',
                'sample2a': '1554151228-14d9def656e4',
                'sample2b': '1494790108377-be9c29b29330'
            };
            return samples[img];
        }
        
        // Face swap algorithm
        async function swapFaces(img1, face1, img2, face2) {
            // Create canvas for result
            const resultCanvas = document.createElement('canvas');
            const ctx = resultCanvas.getContext('2d');
            
            // Set canvas dimensions to match first image
            resultCanvas.width = img1.width;
            resultCanvas.height = img1.height;
            
            // Draw first image as background
            ctx.drawImage(img1, 0, 0);
            
            // Get facial landmarks
            const landmarks1 = face1.landmarks;
            const landmarks2 = face2.landmarks;
            
            // Calculate transformation matrix from face2 to face1
            const matrix = getTransformationMatrix(landmarks2, landmarks1);
            
            // Create temporary canvas for warped face
            const tempCanvas = document.createElement('canvas');
            tempCanvas.width = img2.width;
            tempCanvas.height = img2.height;
            const tempCtx = tempCanvas.getContext('2d');
            tempCtx.drawImage(img2, 0, 0);
            
            // Warp the second face to match the first face's shape
            warpFace(tempCanvas, matrix, face2.detection.box, face1.detection.box);
            
            // Draw the warped face onto the result
            ctx.drawImage(tempCanvas, 0, 0, tempCanvas.width, tempCanvas.height, 
                          0, 0, resultCanvas.width, resultCanvas.height);
            
            // Blend the faces for more natural result
            blendFaces(resultCanvas, face1, tempCanvas, face2);
            
            return resultCanvas;
        }
        
        function getTransformationMatrix(sourceLandmarks, targetLandmarks) {
            // This is a simplified version - a real implementation would use
            // more sophisticated algorithms like affine transformation or thin plate splines
            
            // For demo purposes, we'll just calculate an average scaling factor
            const sourcePoints = sourceLandmarks.positions;
            const targetPoints = targetLandmarks.positions;
            
            let totalDistanceSource = 0;
            let totalDistanceTarget = 0;
            
            // Calculate average distances between some key points
            const pairs = [
                [36, 39], // left eye
                [42, 45], // right eye
                [48, 54], // mouth width
                [27, 8]   // nose to chin
            ];
            
            pairs.forEach(pair => {
                const [i, j] = pair;
                totalDistanceSource += distance(sourcePoints[i], sourcePoints[j]);
                totalDistanceTarget += distance(targetPoints[i], targetPoints[j]);
            });
            
            const scale = totalDistanceTarget / totalDistanceSource;
            
            // Calculate average offset
            const sourceCenter = getCenter(sourceLandmarks);
            const targetCenter = getCenter(targetLandmarks);
            
            return {
                scale,
                translateX: targetCenter.x - sourceCenter.x * scale,
                translateY: targetCenter.y - sourceCenter.y * scale
            };
        }
        
        function warpFace(canvas, matrix, sourceBox, targetBox) {
            const ctx = canvas.getContext('2d');
            
            // Create a temporary canvas to hold the transformed image
            const tempCanvas = document.createElement('canvas');
            tempCanvas.width = canvas.width;
            tempCanvas.height = canvas.height;
            const tempCtx = tempCanvas.getContext('2d');
            
            // Apply transformation
            tempCtx.save();
            tempCtx.translate(matrix.translateX, matrix.translateY);
            tempCtx.scale(matrix.scale, matrix.scale);
            tempCtx.drawImage(canvas, 0, 0);
            tempCtx.restore();
            
            // Copy back to original canvas
            ctx.clearRect(0, 0, canvas.width, canvas.height);
            ctx.drawImage(tempCanvas, 0, 0);
        }
        
        function blendFaces(resultCanvas, face1, face2Canvas, face2) {
            // This is a simplified blending function
            // A real implementation would use more sophisticated techniques like:
            // - Poisson blending
            // - Feathering at the edges
            // - Color correction
            
            const ctx = resultCanvas.getContext('2d');
            
            // For demo, we'll just draw the second face over the first with some opacity
            ctx.globalCompositeOperation = 'source-atop';
            ctx.globalAlpha = 0.7;
            ctx.drawImage(face2Canvas, 0, 0);
            ctx.globalAlpha = 1.0;
            ctx.globalCompositeOperation = 'source-over';
        }
        
        function distance(p1, p2) {
            return Math.sqrt(Math.pow(p2.x - p1.x, 2) + Math.pow(p2.y - p1.y, 2));
        }
        
        function getCenter(landmarks) {
            const points = landmarks.positions;
            let x = 0, y = 0;
            
            points.forEach(point => {
                x += point.x;
                y += point.y;
            });
            
            return {
                x: x / points.length,
                y: y / points.length
            };
        }
        
        // Initialize with some sample images
        window.selectedSample1 = 'https://images.unsplash.com/photo-1507003211169-0a1dd7228f2d?w=800&h=800&fit=crop';
        window.selectedSample2 = 'https://images.unsplash.com/photo-1531123897727-8f129e1688ce?w=800&h=800&fit=crop';
    </script>
<p style="border-radius: 8px; text-align: center; font-size: 12px; color: #fff; margin-top: 16px;position: fixed; left: 8px; bottom: 8px; z-index: 10; background: rgba(0, 0, 0, 0.8); padding: 4px 8px;">Made with <img src="https://enzostvs-deepsite.hf.space/logo.svg" alt="DeepSite Logo" style="width: 16px; height: 16px; vertical-align: middle;display:inline-block;margin-right:3px;filter:brightness(0) invert(1);"><a href="https://enzostvs-deepsite.hf.space" style="color: #fff;text-decoration: underline;" target="_blank" >DeepSite</a> - 🧬 <a href="https://enzostvs-deepsite.hf.space?remix=Mattysaur/faceswap-app" style="color: #fff;text-decoration: underline;" target="_blank" >Remix</a></p></body>
</html>