Search Results for "image processing c source code"
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324 projects for "image processing c source code" with 1 filter applied:
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Images.jl
An image library for Julia
JuliaImages (source code) hosts the major Julia packages for image processing. Julia is well-suited to image processing because it is a modern and elegant high-level language that is a pleasure to use, while also allowing you to write "inner loops" that compile to efficient machine code (i.e., it is as fast as C). Julia supports multithreading and, through add-on packages, GPU processing. -
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GPUPixel
Real-time image and video processing library similar to GPUImage
GPUPixel is a real-time image and video processing library written in C++11, based on OpenGL/ES. It offers functionalities similar to GPUImage, including built-in beauty filters, enabling efficient processing and rendering of visual effects on images and videos. -
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The Book of Shaders
Step-by-step guide through the complex universe of fragment Shaders
The Book of Shaders is an open educational guide that introduces fragment shaders through gradual, visually oriented lessons. It begins with shader fundamentals, uniforms, and the process of running GLSL code. Later chapters explain shaping functions, colors, geometric forms, matrices, patterns, randomness, noise, and fractal techniques. The material then expands into image processing, simulations, lighting, normal maps, ray marching, environmental mapping, reflection, and refraction.... -
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WebP Codec
Library to encode and decode images in WebP format
libwebp is the reference codec library for Google’s WebP image format, providing both encoding and decoding along with command-line tools. It supplies cwebp to compress images into WebP and dwebp to decompress them back, making it easy to test quality/size trade-offs across presets and tuning parameters. The GitHub repository is a mirror; the canonical source of truth lives on Chromium’s git, and developer docs are hosted on WebP’s portal. The project underpins WebP support across browsers,... -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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SwarmUI
Modular AI image and video generation web UI with extensible tools
SwarmUI is a modular web-based user interface designed for AI-driven image generation, with a strong focus on usability, performance, and extensibility. It serves as a unified environment for working with multiple AI models, including Stable Diffusion and newer image and video generation systems, allowing users to create and manage outputs through a browser interface. SwarmUI is built to accommodate both beginners and advanced users by offering a simple “Generate” interface alongside more... -
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Python API for JMComic
Python crawler and API for downloading JMComic albums and images
JMComic-Crawler-Python is a Python library and crawler framework designed to programmatically access and download comic content from the JMComic platform. It provides a structured API that allows developers to retrieve albums, chapters, and images using simple Python code while handling the necessary network requests and data processing behind the scenes. It supports both web-based and mobile API interfaces, enabling flexible interaction with the platform depending on the available... -
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Depth Anything 3
Recovering the Visual Space from Any Views
Depth Anything 3 is a research-driven project that brings accurate and dense depth estimation to any input image or video, enabling foundational understanding of 3D structure from 2D visual content. Designed to work across diverse scenes, lighting conditions, and image types, it uses advanced neural networks trained on large, heterogeneous datasets, producing depth maps that reveal scene depth relationships and object surfaces with strong fidelity. The model can be applied to photography,... -
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OpenCorePkg
OpenCore bootloader
OpenCorePkg is an open-source, modular UEFI (Unified Extensible Firmware Interface) bootloader and development framework, primarily designed to enable macOS booting on non-Apple hardware (Hackintosh). It includes Apple-specific UEFI drivers, utilities for macOS installation support, and shared libraries used across Acidanthera projects. Apple disk image loading support. Apple keyboard input aggregation. Apple PE image signature verification. Apple UEFI secure boot supplemental code. Audio... -
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OpenAI Quickstart Node
Node.js example app from the OpenAI API quickstart tutorial
OpenAI Quickstart Node.js is an example application designed to help developers learn how to use the OpenAI API with Node.js. The repository provides structured sample code for a variety of API endpoints, including chat completions, assistants, embeddings, fine-tuning, moderation, batch processing, and image generation. Each folder contains runnable scripts that demonstrate both basic usage and more advanced scenarios. By following the examples, developers can quickly understand how to... -
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video-compare
Split screen video comparison tool using FFmpeg and SDL2
video-compare is a split-screen video comparison tool written in C++ that enables users to analyze differences between two video sources in real time. It uses FFmpeg libraries and SDL2 to decode and render synchronized playback, allowing precise frame-by-frame comparison. The tool supports videos with different formats, resolutions, and frame rates, making it versatile for testing encoding changes or processing effects. It includes interactive navigation controls and customizable display... -
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AudioNoise
Random digital audio effects
AudioNoise is an experimental collection of digital audio effects created by Linus Torvalds while learning the fundamentals of digital signal processing. The project grew out of work on a digital guitar pedal but currently emphasizes software simulation over hardware development. Its effects intentionally use simple techniques such as IIR filters and delay loops rather than heavy FFT processing or machine-learning models. Processing generally follows a single-sample-in, single-sample-out... -
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ChatGPT Exporter
Export and Share your ChatGPT conversation history
ChatGPT Exporter is a browser-based userscript tool designed to export ChatGPT conversations into multiple structured and shareable formats, enabling users to preserve, analyze, and reuse AI-generated content outside the ChatGPT interface. It integrates directly into the ChatGPT web environment, typically via tools like Tampermonkey, and adds export functionality without requiring backend services or complex setup. The tool supports a wide range of output formats including plain text, HTML,... -
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recipes
Some code snippets for sharing
Recipes is a long-running collection of reusable programming snippets and small experiments rather than a single software package. The repository groups examples by topic so developers can inspect isolated implementations and techniques. Its directories cover algorithms, basic utilities, benchmarking, date and time handling, hashing, sorting, networking, and logging. Other examples explore Protocol Buffers, RPC, reactors, SSL, strings, threading, and top-k processing. Java and Python... -
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QOI
The “Quite OK Image Format” for fast, lossless image compression
QOI, short for “Quite OK Image,” is a minimalist lossless image compression format designed to achieve extremely fast encoding and decoding speeds while maintaining compression ratios comparable to PNG. The project was created as a simpler alternative to complex legacy image formats, using an intentionally lightweight specification that can be implemented in only a few hundred lines of code. QOI focuses on predictable O(n) performance and efficient pixel encoding strategies without relying... -
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GraphicsMagick
Swiss army knife of image processing
GraphicsMagick provides a set of commandline tools and programming APIs for manipulating, editing, and converting raster and vector images. It is derived from ImageMagick, with the objective of providing better stability and performance than ImageMagick while retaining the original MIT/X11 license. -
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Task Scheduler
Cooperative multitasking for Arduino, ESPx, STM32, nRF and more
Cooperative multitasking for Arduino, ESPx, STM32 and other microcontrollers. A lightweight implementation of cooperative multitasking (task scheduling). An easier alternative to preemptive programming and frameworks like FreeRTOS. You mostly do not need to worry about pitfalls of concurrent processing (races, deadlocks, livelocks, resource sharing, etc.). The fact of cooperative processing takes care of such issues by design. -
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Scanopy
Clean network diagrams, One-time setup, zero upkeep
Scanopy is a powerful multi-modal data capture and analysis toolkit that enables users to collect, process, and visualize structured and unstructured information from a variety of sources in a flexible pipeline. It is built to handle complex scanning tasks — such as OCR, document analysis, audio transcription, network data capture, and image extraction — while providing unified APIs and workflows that make managing heterogeneous data sources seamless. Developers can compose custom pipelines... -
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Slambook2
edition 2 of the slambook
slambook2 is the updated companion codebase for the second edition of 14 Lectures on Visual SLAM: From Theory to Practice. It preserves the chapter-by-chapter learning structure while revising examples for newer systems and libraries. The repository teaches the mathematical and programming foundations required to understand visual SLAM implementations. Its C++ exercises cover geometry, Lie theory, cameras, image processing, optimization, visual odometry, mapping, and loop closure. Chapter... -
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DreamCraft3D
Official implementation of DreamCraft3D
DreamCraft3D is DeepSeek’s generative 3D modeling framework / model family that likely extends their earlier 3D efforts (e.g. Shap-E or Point-E style models) with more capability, control, or expression. The name suggests a “dream crafting” metaphor—users probably supply textual or image prompts and generate 3D assets (point clouds, meshes, scenes). The repository includes model code, inference scripts, sample prompts, and possibly dataset preparation pipelines. It may integrate rendering or... -
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Lexbor
Lexbor is development of an open source HTML Renderer library
Lexbor is the development of a web browser engine available as a software library; it ships with a free license and has no extra dependencies. For us, speed is an absolute must-have. In our development process, we focus on fastest parsing techniques for HTML, CSS, and fonts, fastest data processing methods, and fastest ways to serve content to end users. Whether you are building a backend that handles millions of HTML documents or a UI-heavy user app, your software’s response rate always... -
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Gideros
Gideros Release version
...You can easily extend the core with plugins. Import your existing (C, C++, Java or Obj-C) code, bind to Lua, and interpret them directly. Dozens of open-source plugins are already developed and ready to use: ads, in-app purchases, physics for 2d or 3d, Steam integration, and many more. -
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HeavyDB
HeavyDB (formerly MapD/OmniSciDB)
HeavyDB is an open-source GPU-accelerated analytical database designed to perform extremely fast queries on large datasets. The system is built as a SQL-based relational columnar database engine that leverages modern hardware parallelism, including GPUs and multicore CPUs. Its architecture allows users to query datasets containing billions of rows in milliseconds without requiring traditional indexing, pre-aggregation, or sampling techniques. HeavyDB was originally developed as part of the... -
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Roadmap To Learn Generative AI In 2025
Basic Machine Learning Natural Language Processing Roadmap
Roadmap To Learn Generative AI In 2025 is a curated learning path focused on contemporary generative AI — covering large language models (LLMs), diffusion-based image generation, prompt engineering, multi-modal AI, fine-tuning techniques, and the practical considerations for deploying generative models. It’s aimed at learners and developers who already have some programming or ML basics and wish to specialize in generative AI, offering a modern, structured plan that reflects the state of the... -
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ravynOS
A BSD-based OS project that aims to provide an experience with MacOS
We love macOS, but we’re not a fan of the ever-closing hardware and ecosystem. So we are creating ravynOS, an OS aimed to provide the finesse of macOS with the freedom of FreeBSD. This is a developer preview image that’s mainly intended for helping build the system. We recommend running in a virtual machine, although it should work on any hardware supported by FreeBSD-CURRENT (14.0) with at least 2GB (8GB recommended) RAM. PLEASE NOTE: On 2022-02-14, we decided to abandon the current path of... -
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SLAM in Autonomous Driving Book
SLAM Technology in Autonomous Driving
SLAM in Autonomous Driving Book is the open-source code companion to the book SLAM in Autonomous Driving. It focuses on localization and mapping systems that combine LiDAR, IMU, GNSS, and vehicle motion data. The material begins with geometry, kinematics, Kalman filtering, inertial navigation, preintegration, and graph optimization. It then implements point-cloud processing, nearest-neighbor structures, ICP, NDT, scan matching, occupancy grids, and loop closure. Readers build both loosely...
