Image processing and galleries

This project is a software engineering educational resource providing a collection of canonical system implementations. It serves as a library of computer science case studies and polyglot code examples designed to demonstrate architectural tradeoffs and design patterns through concise versions of fundamental software components. The repository focuses on studying the implementation of core concepts such as consensus algorithms, interpreters, and database engines. It provides minimal versions of complex systems to facilitate the analysis of language design, data structure implementation, and the simulation of algorithmic tradeoffs. The capability surface covers a wide range of domains, including data storage and synchronization, distributed systems, language design and bytecode interpretation, and web networking. It also includes implementations for mathematical modeling, combinatorial optimization, and security policy modeling.

This project is a collection of portable, header-only C functions designed for integration into software projects without complex build dependencies or external linking requirements. It provides a suite of low-level utilities for graphics, audio, and data management, focusing on direct memory manipulation and zero-dependency portability. By utilizing a single-header distribution model, the library simplifies dependency management while allowing developers to maintain full control over memory allocation and binary size through compile-time configuration. The library distinguishes itself by offering specialized tools for resource-constrained environments, including custom memory allocators and diagnostic utilities for tracking heap usage. It provides comprehensive support for graphics asset processing, such as loading, resizing, and compressing image data, alongside a text rendering engine capable of rasterizing font files or generating vertex data. These capabilities are complemented by procedural generation functions for creating deterministic noise patterns and audio decoding tools for processing compressed streams into raw data. Beyond its core graphics and audio features, the library includes fundamental programming primitives for managing dynamic data structures, such as arrays and hash maps, and provides portable string formatting and text editing management. These utilities are designed to operate directly on raw memory buffers, ensuring consistent performance and predictable behavior across different hardware architectures. The entire library is contained within single source files that can be included directly into a project, requiring only standard C library functions for operation.

Dokploy is a self-hosted platform-as-a-service designed to simplify the deployment and management of containerized applications and databases. It provides a centralized control plane that decouples administrative management from application workloads, allowing users to oversee infrastructure across multiple server nodes through a unified web interface or a command-line tool. The platform distinguishes itself through an extensive library of pre-configured application templates, enabling the rapid deployment of databases, identity providers, and various productivity or development tools. It supports complex orchestration by allowing users to define multi-container services using standard configuration files, which can be managed through automated build pipelines, Git integration, and real-time performance monitoring. Beyond core deployment, the system includes robust infrastructure management capabilities such as automated backups to external object storage, horizontal and vertical scaling, and granular access control. It also provides secure configuration management, including environment variable synchronization, HTTPS certificate handling, and zero-downtime deployment strategies to ensure application stability and security. The platform is designed for ease of use, offering an interactive API documentation interface and instructional resources to guide users through installation and configuration. It supports a wide range of modern web frameworks and runtimes, providing a flexible environment for hosting and maintaining services on private server hardware.

This project is a command-line utility designed to fetch video, audio, and image content from a wide range of web platforms. It functions by parsing page metadata and utilizing modular, site-specific scripts to extract direct media stream URLs from complex web structures, enabling the local archiving of digital media for offline use. The tool distinguishes itself through its ability to handle authenticated content, allowing users to inject browser-stored session cookies to access restricted or private media. It also supports real-time media streaming by piping remote content directly into external playback software, bypassing the need for local disk storage. For complex media tasks, the utility orchestrates external command-line tools to manage file merging, format conversion, and stream playback. Beyond basic acquisition, the software provides comprehensive management features, including automated directory organization for batch processing and the ability to resume interrupted downloads using temporary state files. It also integrates network proxy configurations to route traffic through external servers, facilitating access to content subject to regional restrictions or firewall limitations. Users can further automate workflows by programmatically extracting resource metadata or submitting search queries directly through the terminal.

DeepFaceLive is a desktop application designed for real-time facial replacement and animation within live video streams. By utilizing deep learning models, the software performs high-speed identity mapping and facial feature analysis to transform video content as it is captured. The engine relies on GPU-accelerated inference to execute these complex image manipulation tasks at interactive frame rates. The application distinguishes itself through a modular video processing pipeline that chains specialized tasks to maintain high throughput and low latency. It features a virtual camera streaming interface that exposes processed video and audio as standard hardware inputs, allowing users to route modified media directly into third-party communication and broadcasting software. To ensure synchronization during live sessions, the system supports adjustable delay settings and offset configurations. The architecture employs asynchronous frame buffering and multi-GPU load balancing to distribute computational tasks across hardware, minimizing bottlenecks during intensive processing. It supports various input sources, including network-connected mobile devices, and provides tools for optimizing performance through hardware offloading and memory management. Detailed setup instructions are available to assist with environment configuration and driver preparation on Windows systems.

pixelmatch is a JavaScript image comparison library and pixel-level difference detector. It identifies mismatched pixels between image data arrays and quantifies the differences based on a configurable sensitivity threshold. The tool generates visual difference maps that highlight specific pixel changes for manual review. It includes a command-line interface for comparing image files and exporting the resulting difference maps to the file system. The project provides capabilities for automated image analysis and visual regression testing, utilizing anti-aliasing heuristic filtering to ignore changes caused by sub-pixel rendering.

Seal is a mobile application designed to retrieve video and audio content from various online platforms. It functions as a graphical interface that manages background transfer processes, allowing users to download and archive media files directly to their local device storage for offline access. The application distinguishes itself by acting as a bridge to powerful command-line utilities, orchestrating these external binaries to handle complex media extraction and file conversion tasks. Users can customize their experience through a declarative template system that defines specific execution parameters, while a centralized task manager enables concurrent batch processing of multiple media files. Beyond basic downloading, the project provides a comprehensive management interface that tracks transfer history, maintains download queues, and stores metadata using a local relational database. The application supports a variety of languages and is built to provide a consistent experience across different mobile screen sizes.

Manim is a Python-based computational geometry framework designed for programmatic video production. It functions as a mathematical animation engine, allowing users to generate high-fidelity visual content by scripting scene definitions rather than using traditional timeline-based editing software. The library is built to translate code-based instructions into precise, frame-accurate animations, making it a tool for explaining complex mathematical functions, geometric proofs, and abstract theories. The engine distinguishes itself through a declarative scene graph that organizes visual elements into a hierarchical structure, where transformations and properties propagate from parent containers to nested objects. It utilizes an interpolation-based animation system to calculate smooth transitions between keyframes and a declarative updater system that executes callback functions on every frame to modify object properties dynamically. This approach allows for sophisticated dynamic geometry modeling, where models respond to mathematical inputs and constraints in real time. The framework includes a vector-based geometry pipeline that processes mathematical primitives into resolution-independent shapes before rasterizing them into final output. It also supports three-dimensional development through camera-projection transformations, which map 3D coordinate spaces into 2D viewports using perspective or orthographic matrices. These capabilities enable the creation of data-driven visual aids for technical presentations and scientific communication.