Projects sharing features with QuaggaJS

This is an Android barcode scanning library designed to detect and decode barcode data from a live camera feed. It provides the core infrastructure for translating visual patterns into text on mobile devices. The library includes a camera preview manager that adjusts aspect ratios and feed sizes to fit various screen dimensions, as well as a hardware controller for managing flash, autofocus, and sensor selection. It also features a barcode format filter to restrict scanning to specific barcode types to increase detection speed and accuracy. The project covers camera hardware control, live ba

This repository is a comprehensive collection of reference implementations and sample libraries for the Universal Windows Platform. It provides practical examples of how to use Windows Runtime APIs to build cross-device applications, including detailed guidance on XAML-based declarative user interfaces and DirectX-integrated rendering. The project distinguishes itself by providing a wide array of hardware integration suites, covering low-level communication with USB, Serial, I2C, SPI, and GPIO peripherals. It includes specialized implementations for mixed reality holographic rendering, advanc

OpenCVSharp is a .NET library that wraps native OpenCV functions, providing C# developers with access to OpenCV's computer vision capabilities through an API that mirrors the native C/C++ style. It serves as a managed wrapper for image processing, feature detection, object detection, and image manipulation tasks, while also handling automatic disposal of unmanaged OpenCV resources like Mat objects to prevent memory leaks in .NET applications. The library enables keypoint detection and descriptor extraction using algorithms such as AKAZE, BRISK, or FAST, with brute-force or FLANN-based matchin

This project is a cross-platform mobile camera framework and real-time computer vision library. It provides a high-performance interface for mobile applications to handle hardware control, media capture, and live camera frame processing. The framework includes a dedicated system for running AI models and custom analysis on live camera streams using high-performance worklets. It also functions as a real-time detection and decoding system for QR codes and barcodes. Broad capabilities cover the capture of high-resolution photos and videos with controls for zoom, HDR, and frame rates. The projec

This is a ZXing-based toolkit for integrating barcode and QR code scanning and generation into Android applications. It functions as a barcode scanner capable of decoding data from both live camera streams and static image files. The library includes a QR code generator that supports the creation of image files with custom logos embedded in the center of the code. It also provides a customizable camera scanning interface, allowing for adjustments to the scanning overlay and control over the device flash to improve visibility in low light. Its broader capabilities cover the extraction of text

This project is a deep learning image matting framework and computer vision tool designed to separate people from their backgrounds. It functions as a real-time video matting engine and a trainable foreground isolation model that generates per-pixel alpha mattes to isolate subjects from photos and videos. The system utilizes reference-based alpha matting, incorporating a specific background image to simulate green screen effects without a physical screen. This approach allows for the removal and replacement of backgrounds in high-resolution footage, including live video streams. The framewor

libfacedetection is a C++ face detection library and computer vision tool. It utilizes a neural network face detector to identify human faces in images and return bounding box coordinates. The library is designed for low latency and high throughput processing, enabling real-time face detection in image and video streams. It supports automated image analysis for identifying coordinates of human faces across large batches of photos and high-performance video processing.

jetson-inference is a set of libraries and tools for executing optimized deep learning models on embedded GPU hardware. Its primary purpose is to enable real-time computer vision and AI inference at the edge with low latency and high throughput. The project distinguishes itself through high-performance streaming analytics and the ability to execute concurrent AI pipelines on auto-grade silicon. It provides specialized support for multi-sensor stream processing, utilizing zero-copy data transport to load camera frames directly into GPU memory. The codebase covers a broad surface of capabiliti

BGAQRCode-Android is a developer toolkit for Android that provides a library for scanning and recognizing QR codes and barcodes. It functions as a camera scanning framework and a barcode generator for creating one-dimensional and two-dimensional codes. The project includes a customizable UI kit for implementing branded scanning interfaces with adjustable dimensions, colors, and animation styles. It also provides tools for creating customized barcodes featuring specific color palettes and embedded logos. The toolkit manages camera hardware settings, including flashlight control, zoom levels,

Darkflow is an object detection framework and computer vision pipeline that provides a programmatic interface for performing real-time image analysis and object identification. It functions as a tool for loading weights, fine-tuning models, and executing inference on both static images and video feeds. The project serves as a converter that translates Darknet configurations and weights into TensorFlow graphs to enable retraining and deployment. It includes a model exporter that saves trained graphs into portable protobuf files for use on mobile and native devices. The system covers capabilit

SimplifyReader is a multi-purpose Android client and multimedia content browser. It serves as a centralized hub for consuming news articles, audio files, video streams, and image galleries, while also providing QR code scanning functionality. The application is built using the Model-View-Presenter architecture to separate data logic from the user interface and implements Google Material Design principles for its visual components. It utilizes a hybrid scanning engine to decode QR codes into text strings. The project covers several core capability areas, including news article consumption via

This project is a cross-platform mobile camera library used to embed live camera feeds and capture photos or videos within mobile applications. It provides a unified interface for integrating mobile image capture and camera functionality across different platforms. The library includes specialized tools for reading and decoding barcode data from a live camera stream and a system for locating and identifying human faces in real-time.

Umi-OCR is an optical character recognition engine designed to convert visual text from images and documents into machine-readable character data. It functions as a local-first toolkit, processing all visual data directly on the host machine using embedded neural network models to maintain privacy and offline availability. The project distinguishes itself through its focus on automated document digitization and integrated barcode and QR code decoding. By utilizing a modular, Python-based orchestration layer, it enables users to transform static image files and multi-page documents into search

CenterNet is a center point object detection framework and real-time computer vision pipeline. It identifies objects and poses by predicting center points instead of using anchor boxes. The system functions as a 3D bounding box estimator, a human pose estimation model, and a tool for real-time object detection. It treats the placement of joints and object locations as center point detection problems to locate entities in images and three-dimensional space. Capabilities cover 3D object detection, human keypoint estimation, and live video analysis. The pipeline uses a single-stage feedforward

Pica is a client-side utility for browser-based image scaling, format transformation, and file optimization. It functions as a canvas image processor that transforms data between canvas elements, bitmaps, and blobs for local manipulation within the web browser. The library distinguishes itself through high-quality downscaling using Lanczos resampling and a multi-threaded processing model. It utilizes web workers to split image processing into tiles across CPU cores to increase resizing speed. The project covers a broad range of image manipulation capabilities, including high-quality scaling

Compressorjs is a client-side image compression library that reduces file sizes in the browser before upload, using the HTML Canvas API to re-encode images into smaller File or Blob objects. It supports JPEG, PNG, and WebP formats, with configurable quality and dimension controls to balance file size and visual fidelity. The library distinguishes itself through several integrated capabilities. It reads Exif orientation metadata from JPEG images and automatically rotates or flips the canvas to ensure correct display after compression. An AbortController integration allows cancellation of an in

This is a JavaScript image loading library and a suite of utilities for binary metadata parsing and canvas-based transformations. It provides a unified interface for loading images from URLs, Blobs, or Files into HTML elements. The library includes a canvas-based image transformer for producing scaled, cropped, or rotated images and an image orientation handler that rotates or flips images based on embedded metadata. It also features an Exif metadata parser to extract IPTC and Exif tags and embedded thumbnails from binary image data. The toolset covers browser-based image processing, includi

YOLO-World is a vision-language framework and open-vocabulary object detection model. It identifies objects in images and video based on free-form text prompts without requiring predefined category labels. The system enables the identification of arbitrary objects by fusing image features with text embeddings. It includes a specialized tool for automated image labeling, which generates bounding box annotations for custom datasets using text-based prompts. The project provides a deployment pipeline for converting models into quantized ONNX and TFLite formats, supporting real-time inference on

Resemble.js is a JavaScript image comparison library and pixel-based visual regression tool. It functions as an image analysis engine that calculates the percentage of visual difference between two images and generates a diff image to highlight mismatched areas. The library utilizes a canvas-based approach to identify differences, providing capabilities for automated image comparison and UI component validation. It includes specialized filtering to reduce false positives by ignoring visual noise such as antialiasing and specific colors. The toolset covers image dimension normalization, analy

This project is a computer vision tool designed to calculate the pitch, yaw, and roll of a human head in real time. It functions as a facial landmark detection library that identifies sixty-eight specific points on a face to enable precise orientation tracking from video streams. The system utilizes a high-performance inference engine to execute pre-trained machine learning models, ensuring that geometric analysis is performed efficiently on input frames. By mapping detected facial coordinates to a three-dimensional model, the software determines the camera-relative rotation of the head throu

opencv4nodejs is a set of JavaScript wrappers and a C++ native addon that provides Node.js bindings for the OpenCV library. It functions as a computer vision library and image processing framework, exposing high-performance C++ algorithms to a JavaScript environment. The project enables the execution of vision algorithms for detecting faces, tracking objects, and analyzing visual data using deep neural networks. It includes capabilities for data pattern classification, text pattern recognition, and the identification of facial landmarks and gestures. The framework covers a broad capability s

VLM-R1 is a reasoning vision-language model and embodied AI framework designed to map visual inputs and language instructions into physical navigation waypoints and robotic actions. It functions as a multimodal policy optimizer and an open vocabulary detector capable of locating objects based on arbitrary natural language descriptions. The system distinguishes itself through the use of chain-of-thought reasoning and reinforcement learning to solve complex visual and spatial tasks. It utilizes a video semantic memory system, which employs a visual cache to maintain a history of live video for

Resemble.js is an image comparison framework and visual difference engine designed for automated regression testing. It functions as a library to normalize image dimensions and analyze visual discrepancies to determine if two images are identical. The system identifies pixel-level changes between images while providing capabilities for bounding-box isolation and the exclusion of specific regions. It calculates a percentage of difference by measuring the numerical distance between RGBA color channel values. The library covers visual regression testing and frontend quality assurance by compari

Headtrackr is a JavaScript library and computer vision face tracker designed to monitor head position and orientation via a webcam. It provides a head tracking API that detects face location and spatial coordinates within a live video stream to create head-coupled perspective effects. The project functions as a tool for shifting 3D rendering perspectives in real time based on physical head movements. It utilizes WebRTC and media stream integration to capture video data and identify a user's face and rotation within a web browser. The library covers computer vision capabilities for face and h

Browser image compression is a JavaScript utility designed to reduce image file sizes directly within the web browser. By adjusting dimensions and quality settings locally, the library minimizes bandwidth usage and storage requirements before files are uploaded to a server. The library maintains interface responsiveness by offloading heavy image manipulation tasks to background worker threads. It manages large image files using memory-efficient binary objects and utilizes the browser canvas application programming interface to re-encode data into formats such as JPEG or WebP. Users can contr

gif.js is a JavaScript GIF encoder and client-side color quantizer that generates animated GIF files directly within the web browser. It functions as an HTML5 canvas exporter and image processor, allowing for the creation of animated images from web sources without the need for a backend server. The library utilizes web workers to offload heavy image encoding tasks to background threads, which prevents the browser user interface from freezing during the generation process. This architecture enables the tool to act as a web worker image processor for dynamic image generation. The system cover