Search Results for "detect"

The Stream Detector is a browser extension and utility designed to detect and identify media streams embedded within web pages, particularly those using streaming protocols such as HLS or DASH. It scans network requests and extracts stream URLs, allowing users to access underlying media sources that may not be directly visible. The tool is useful for developers, researchers, and media enthusiasts who need to analyze streaming behavior or capture media sources.

...If you're looking for a JavaScript library that can programmatically generate imgix URLs, consider using imgix-core-js instead. Once imgix.js has been included on the page, it will automatically run once, after the DOMContentLoaded event fires. This will detect and process all img, picture, and source tags on the page that are set up to use imgix.js as described in the Usage section.

...If you like, feel free to donate to Wikimedia Foundation, which helps sustain free knowledge through Wikipedia and its sister projects for people around the world. Lepton replies on GitHub APIs to detect the language. Build apps for macOS, Windows and Linux.

You can use imagesLoaded with vanilla JS, Using a callback function is the same as binding it to the always event. Bind events with vanilla JS with .on(), .off(), and .once() methods. Detect when background images have loaded, in addition to <img>s. Set { background: true } to detect when the element's background image has loaded. Set to a selector string like { background: '.item' } to detect when the background images of child elements have loaded. The always event is triggered after all images have been either loaded or confirmed broken. and the done event is triggered after all images have successfully loaded without any broken images. imagesLoaded works with Browserify. imagesLoaded works with RequireJS. ...

The tracking.js library brings different computer vision algorithms and techniques into the browser environment. By using modern HTML5 specifications, we enable you to do real-time color tracking, face detection and much more, all that with a lightweight core (~7 KB) and intuitive interface. To get started, download the project. This project includes all of the tracking.js examples, source code dependencies you'll need to get started. Unzip the project somewhere on your local drive. The...

Extremely Lightweight Beat Detection Algorithm - BeatDetektor uses a very simple statistical model designed from scratch by myself to detect the BPM of music and provides real-time feedback useful for visualization and synchronization.