提供一个facemesh3维特效的实例代码
时间: 2024-02-01 18:14:05 浏览: 27
以下是使用 TensorFlow.js 和 facemesh 模型实现的一个简单的 3D 特效示例代码:
```html
<!DOCTYPE html>
<html>
<head>
<meta charset="UTF-8">
<title>Facemesh 3D Effect Example</title>
<script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs@3.0.0/dist/tf.js"></script>
<script src="https://cdn.jsdelivr.net/npm/@tensorflow-models/facemesh@0.1.4/dist/facemesh.min.js"></script>
<script src="https://cdn.jsdelivr.net/npm/three@0.129.0/build/three.min.js"></script>
</head>
<body>
<canvas id="canvas" width="640" height="480"></canvas>
<script>
// Initialize facemesh model
const facemeshModel = await facemesh.load();
// Initialize Three.js scene
const scene = new THREE.Scene();
const camera = new THREE.PerspectiveCamera(45, 640 / 480, 0.1, 1000);
camera.position.set(0, 0, 5);
const renderer = new THREE.WebGLRenderer({canvas: document.getElementById("canvas")});
// Create a 3D mesh using a Three.js geometry
const geometry = new THREE.SphereGeometry(1, 32, 32);
const material = new THREE.MeshStandardMaterial({color: 0xff0000});
const mesh = new THREE.Mesh(geometry, material);
scene.add(mesh);
// Animate the mesh based on facemesh landmarks
async function animate() {
// Get facemesh prediction
const video = document.getElementsByTagName("video")[0];
const facemeshPrediction = await facemeshModel.estimateFaces(video);
// Map facemesh landmarks to 3D space
if (facemeshPrediction.length > 0) {
const landmarks = facemeshPrediction[0].scaledMesh.map(point => [-1 * point[0], -1 * point[1], -1 * point[2]]);
// Update mesh vertices based on facemesh landmarks
mesh.geometry.vertices.forEach((vertex, i) => {
vertex.set(landmarks[i][0], landmarks[i][1], landmarks[i][2]);
});
mesh.geometry.verticesNeedUpdate = true;
}
// Render the scene
renderer.render(scene, camera);
requestAnimationFrame(animate);
}
animate();
</script>
</body>
</html>
```
这个示例代码会在一个 canvas 元素中渲染一个红色的球体,并且根据 facemesh 模型预测的面部特征点更新球体的形状,从而实现 3D 特效。请注意,这个示例代码假设已经有一个视频元素,在其中播放了需要进行面部表情识别的视频。
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