faceswap-app / index.html
Mattysaur's picture
Add 2 files
425d1ae verified
<!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>