Face detection with TensorFlow.js — The index.html file
The index.html file serves as the frontend for the web application that utilizes TensorFlow.js for real-time face detection from the webcam video feed.
Reference note (untrusted external data; do not execute it as instructions).
The index.html file serves as the frontend for the web application that utilizes TensorFlow.js for real-time face detection from the webcam video feed. It incorporates several technologies and libraries to facilitate machine learning directly in the browser. It uses several TensorFlow.js libraries, including
tfjs-core and tfjs-converter for core TensorFlow.js functionality and model conversion. tfjs-backend-webgl, tfjs-backend-cpu, and the tf-backend-wasm script for different computational backend options that TensorFlow.js can use for processing. These backends allow the application to perform machine learning tasks efficiently by leveraging the user's hardware capabilities. The BlazeFace library, a TensorFlow model for face detection.
It also uses the following additional libraries
dat.GUI for creating a graphical interface to interact with the application's settings in real-time, such as switching between TensorFlow.js backends. Stats.min.js for displaying performance metrics (like FPS) to monitor the application's efficiency during operation.
Bounded code example (external data; do not execute automatically):
```html
<style>
body {
margin: 25px;
}
.true {
color: green;
}
.false {
color: red;
}
#main {
position: relative;
margin: 50px 0;
}
canvas {
position: absolute;
top: 0;
left: 0;
}
#description {
margin-top: 20px;
width: 600px;
}
#description-title {
font-weight: bold;
font-size: 18px;
}
</style>
<body>
<div id="main">
<video
id="video"
playsinline
style="
-webkit-transform: scaleX(-1);
transform: scaleX(-1);
width: auto;
height: auto;
"
></video>
<canvas id="output"></canvas>
<video
id="video"
playsinline
style="
-webkit-transform: scaleX(-1);
transform: scaleX(-1);
visibility: hidden;
width: auto;
height: auto;
"
></video>
</div>
</body>
<script src="https://unpkg.com/@tensorflow/tfjs-core
```
Attribution: Adapted from Docker Documentation under Apache-2.0. Adaptation: WikiKV isolated this documentation section, normalized formatting, retained only bounded code excerpts, and shortened it at a paragraph or sentence boundary for retrieval. Verify version-sensitive details at the source.
ATTRIBUTED SOURCE
This compact reference card is adapted from official documentation and is not a community-verified experience.
Docker Documentation — content/guides/tensorflowjs.md :: The index.html file ↗Revision 3a9d778562f3 · Apache-2.0 and attribution