Search Results for "edge detection using php"
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Showing 10 open source projects for "edge detection using php"
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1
Web Push PHP
Web Push library for PHP
WebPush-PHP is a server-side library to send Web Push notifications to browsers using the W3C Push API standard. It supports encrypted push messages and is compatible with service workers in major browsers like Chrome and Firefox. -
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Google Translate PHP
Free Google Translate API PHP Package
A simple and effective PHP library for translating text using Google Translate without needing an API key. It allows developers to integrate real-time translation features into their applications with minimal setup and supports multiple languages, leveraging Google Translate’s unofficial endpoint. -
3
Mobile Detect
Mobile_Detect is a lightweight PHP class for detecting mobile devices
Mobile-Detect is a lightweight PHP library that inspects the HTTP user agent string and HTTP headers to detect whether a request comes from a mobile, tablet, or desktop device. It includes a rich set of detection rules covering device brands, operating systems, and browser engines so developers can tailor responses (views, assets, or layouts) based on client form factor. Its API is simple: isMobile(), isTablet(), or deviceFamily() methods make branching logic intuitive. The library is used... -
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Kornia
Open Source Differentiable Computer Vision Library
Kornia is a differentiable computer vision library for PyTorch. It consists of a set of routines and differentiable modules to solve generic computer vision problems. At its core, the package uses PyTorch as its main backend both for efficiency and to take advantage of the reverse-mode auto-differentiation to define and compute the gradient of complex functions. Inspired by existing packages, this library is composed by a subset of packages containing operators that can be inserted within... -
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5
DocWire SDK
Award-winning modern data processing SDK in C++20
DocWire SDK, a standout C++20AI driven data processing tool, has received award from SourceForge and strong backing from Microsoft. It handles nearly 100 file types, empowering efficient text extraction, web data extraction, and document analysis. For businesses, the shift to DocWire SDK signifies a leap forward. It promises comprehensive document format support and the ability to extract valuable insights from email boxes, databases, and websites using cutting-edge AI. DocWire SDK aims to... -
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Google Cloud Vision API examples
Sample code for Google Cloud Vision
The cloud-vision repository is a sample code collection for the Google Cloud Vision API that shows developers how to implement image analysis tasks across a wide range of languages and platforms. It contains examples organized by language and environment, including Go, Java, Node.js, PHP, Python, Ruby, .NET, Android, iOS, and even a Chrome extension, which makes it especially valuable as a cross-platform learning resource. The repository demonstrates concrete image understanding use cases,... -
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mPDF
PHP library generating PDF files from UTF-8 encoded HTML
mPDF is a PHP library that generates PDF files from UTF-8 encoded HTML. The original author, Ian Back, wrote mPDF to output PDF files ‘on-the-fly’ from his website, handling different languages. It is slower than the original scripts e.g. HTML2FPDF and produces larger files when using Unicode fonts, but support for CSS styles etc. and has been much enhanced. -
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Clean Code PHP
Clean Code concepts adapted for PHP
...Because PHP is dynamically typed and loosely structured, the project pays special attention to avoiding “magic,” enforcing explicitness, and using type hints and invariants where possible. Its goal isn't to enforce a specific tool or formatting dogma but to raise collective code quality by cultivating shared discipline and vocabulary. By adopting Clean Code PHP employees, teams reduce cognitive debt and make onboarding and code review more consistent. -
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tracking.js
A modern approach for Computer Vision on the web
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... -
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10
PyCNN
Image Processing with Cellular Neural Networks in Python
Image Processing with Cellular Neural Networks in Python. Cellular Neural Networks (CNN) are a parallel computing paradigm that was first proposed in 1988. Cellular neural networks are similar to neural networks, with the difference that communication is allowed only between neighboring units. Image Processing is one of its applications. CNN processors were designed to perform image processing; specifically, the original application of CNN processors was to perform real-time ultra-high...
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