OpenCV Integrations

MATLAB® combines a desktop environment tuned for iterative analysis and design processes with a programming language that expresses matrix and array mathematics directly. It includes the Live Editor for creating scripts that combine code, output, and formatted text in an executable notebook. MATLAB toolboxes are professionally developed, rigorously tested, and fully documented. MATLAB apps let you see how different algorithms work with your data. Iterate until you’ve got the results you want, then automatically generate a MATLAB program to reproduce or automate your work. Scale your analyses to run on clusters, GPUs, and clouds with only minor code changes. There’s no need to rewrite your code or learn big data programming and out-of-memory techniques. Automatically convert MATLAB algorithms to C/C++, HDL, and CUDA code to run on your embedded processor or FPGA/ASIC. MATLAB works with Simulink to support Model-Based Design.

The Java™ Programming Language is a general-purpose, concurrent, strongly typed, class-based object-oriented language. It is normally compiled to the bytecode instruction set and binary format defined in the Java Virtual Machine Specification. In the Java programming language, all source code is first written in plain text files ending with the .java extension. Those source files are then compiled into .class files by the javac compiler. A .class file does not contain code that is native to your processor; it instead contains bytecodes — the machine language of the Java Virtual Machine1 (Java VM). The java launcher tool then runs your application with an instance of the Java Virtual Machine.

The core of extensible programming is defining functions. Python allows mandatory and optional arguments, keyword arguments, and even arbitrary argument lists. Whether you're new to programming or an experienced developer, it's easy to learn and use Python. Python can be easy to pick up whether you're a first-time programmer or you're experienced with other languages. The following pages are a useful first step to get on your way to writing programs with Python! The community hosts conferences and meetups to collaborate on code, and much more. Python's documentation will help you along the way, and the mailing lists will keep you in touch. The Python Package Index (PyPI) hosts thousands of third-party modules for Python. Both Python's standard library and the community-contributed modules allow for endless possibilities.

Akira.ai provides businesses with Agentic AI, a set of specialized AI agents designed to optimize and automate complex workflows across various industries. These AI agents collaborate with human teams, enhancing productivity, making real-time decisions, and automating repetitive tasks, such as data analysis, incident management, and HR processes. The platform integrates smoothly with existing systems, including CRMs and ERPs, ensuring a disruption-free transition to AI-enhanced operations. Akira’s AI agents help businesses streamline their operations, increase decision-making speed, and boost overall efficiency, driving innovation across sectors like manufacturing, finance, and IT.

Thumbor is a smart imaging service. It enables on-demand crop, resizing and flipping of images. It features a very smart detection of important points in the image for better cropping and resizing, using state-of-the-art face and feature detection algorithms. With the most advanced face detection technology, Thumbor ensures you have the best image crop possible. Every time a face is detected, it will crop the image around it, making sure the most important parts of the picture are preserved. Thumbor allows users to store and load images from anywhere needed. It's really simple to implement a new loader or storage. It comes packaged with file, HTTP, Redis, and MongoDB implementations for loaders and storage. Just pick what makes sense for you or implement your own. Thumbor has support for image filters. Filters usually apply some post-processing to the images and they can be chained and applied in order.

SikuliX is an open source automation tool that enables users to automate any visible element on their desktop screens across Windows, Mac, or certain Linux/Unix systems. It utilizes image recognition powered by OpenCV to identify and interact with screen elements, allowing for the automation of tasks that are otherwise difficult to script. SikuliX offers an Integrated Development Environment (IDE) for writing visual scripts using screenshots, as well as a Java API for integrating image-based automation into existing applications. The software packages representing SikuliX are open source under the MIT license and publicly available for whatever use. SikuliX internally uses OpenCV to support image-related features and Tesseract for text features. The latest stable version, SikuliX 1.1.1, is recommended for use.

​Weasis is a free, open source DICOM viewer designed for both standalone and web-based use, featuring a highly modular architecture. It is widely utilized in healthcare settings, including hospitals, health networks, multicenter research trials, and by patients. As cross-platform software, Weasis offers flexible integration with PACS, RIS, HIS, or EHR systems. The viewer leverages the OpenCV library to deliver high-performance and high-quality medical imaging renderings. From version 4 onwards, Weasis features a responsive user interface aligned with operating system options, offering an enhanced experience on high-resolution screens. Key features include support for a wide range of DICOM files, such as multi-frame, enhanced, MPEG-2, MPEG-4, and more. Users can import DICOM files via DICOM Query/Retrieve (C-GET, C-MOVE, and WADO-URI) and DICOMWeb (QUERY and RETRIEVE), as well as import and export DICOM CD/DVD with DICOMDIR.

Dash gives your Mac instant offline access to 200+ API documentation sets. Dash is an API documentation browser and code snippet manager. Dash instantly searches offline documentation sets for 200+ APIs, 100+ cheat sheets, and more. You can even generate your own docsets or request docsets to be included. Dash comes with 200+ offline documentation sets. You can choose which documentation sets to download and Dash will take care of the rest, making sure they are kept up to date. You can also generate your own docsets, request docsets or download docsets from third-party sources. All documentation sets have been generated and are maintained with the utmost care. Dash integrates with package managers to generate documentation sets for anything you might need, as well as provide custom documentation sources of their own. Store snippets of code. Easily reuse snippets. Expand snippets in any app. Organize snippets with tags, syntax highlighting, and variable placeholders.

C++ is a simple and clear language in its expressions. It is true that a piece of code written with C++ may be seen by a stranger of programming a bit more cryptic than some other languages due to the intensive use of special characters ({}[]*&!|...), but once one knows the meaning of such characters it can be even more schematic and clear than other languages that rely more on English words. Also, the simplification of the input/output interface of C++ in comparison to C and the incorporation of the standard template library in the language, makes the communication and manipulation of data in a program written in C++ as simple as in other languages, without losing the power it offers. It is a programming model that treats programming from a perspective where each component is considered an object, with its own properties and methods, replacing or complementing structured programming paradigm, where the focus was on procedures and parameters.

The Intel Open Edge Platform simplifies the development, deployment, and scaling of AI and edge computing solutions on standard hardware with cloud-like efficiency. It provides a curated set of components and workflows that accelerate AI model creation, optimization, and application development. From vision models to generative AI and large language models (LLM), the platform offers tools to streamline model training and inference. By integrating Intel’s OpenVINO toolkit, it ensures enhanced performance on Intel CPUs, GPUs, and VPUs, allowing organizations to bring AI applications to the edge with ease.