Feature Detection
Showing 14 of 14 projects
A differentiable computer vision library for PyTorch, providing geometric vision and image processing algorithms for AI workflows.
A lightweight JavaScript library for real-time computer vision in the browser, including color tracking and face detection.
A comprehensive library for image processing in Python with algorithms for segmentation, filtering, morphology, and feature detection.
A small, fast, and rich-API browser/platform/engine detector for both browser and Node.js environments.
A value-type Swift library for detecting iOS, tvOS, and watchOS device models and capabilities.
A curated list of papers, software, and resources for 3D reconstruction from images, covering SLAM, SfM, and MVS.
A source code analyzer that identifies features and characteristics in software components using static analysis and a JSON rules engine.
A JavaScript library for responsive design, feature detection, and asynchronous resource loading with cross-browser compatibility.
A JavaScript library for detecting browser, OS, device, and layout engine details from the user agent string.
A collection of pure-Rust computer vision libraries providing algorithms for photogrammetry, image processing, and pattern recognition.
A GPU-accelerated C++ library for visual-inertial odometry frontend tasks, optimized for high-speed robotics.
A set of language helpers, utilities, and classes for writing TypeScript applications, including feature detection, async operations, and HTTP requests.
A curated collection of resources on Progressive Enhancement, covering concepts, strategies, feature detection, testing, and code examples.
A CMake module that automatically detects C++ compiler features and generates workaround headers for cross-compiler compatibility.
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