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Cloud tools for web scraping and data extraction
Deploy pre-built tools that crawl websites, extract structured data, and feed your applications. Reliable web data without maintaining scrapers.
Automate web data collection with cloud tools that handle anti-bot measures, browser rendering, and data transformation out of the box. Extract content from any website, push to vector databases for RAG workflows, or pipe directly into your apps via API. Schedule runs, set up webhooks, and connect to your existing stack. Free tier available, then scale as you need to.
...The C interface is a set of simple function calls to allow the user to visualize data and obtain events from the system and user input.
The C++ interface has more features allowing the user to run and analyze complex computer vision algorithm in a few lines of code (see the stereo and surf examples).
QCV offers a 2D visualization tool, an on-line on-the-fly parameter editor, a clock tool to evaluate computation times, and a control tool to manipulate input video and sequences of images.
Multiple application examples that demonstrate the main features of this framework are provided in the last release.
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Track & log x & y displacement, in realtime, of object in webcam
...I released TrackXY to reduce barriers to entry to science.
Planned features include versions for each platform, a GUI, comprehensive data management, and data analysis tools.
To analyze motion in /recorded/ video (not real-time), you may prefer something like PhysMo, also a SourceForge project.
The count of vehicles is a key task in traffic gauging, as it provides information for designing new roads. This software presents an algorithm to detect and track vehicles in real time or from a video file.
Active Shape/Appearance Model Library (ASMLibrary/AAMLibrary) source code, which includes ASMBuilding/AAMBuilding as well as ASMFitting/AAMFitting algorithm. It is developped under OpenCV 1.0 for locating features in a face and face recognition.
It's a modern take on desktop management that can be scaled as per organizational needs.
Desktop Central is a unified endpoint management (UEM) solution that helps in managing servers, laptops, desktops, smartphones, and tablets from a central location.
The XAI project aims at developing an extensible framework for developing and prototyping real time video analysis algorithms by allowing composition and execution of such algorithms in the form of data flows between algorithm blocks.