Search Results for "frame generation" - Page 2
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Showing 43 open source projects for "frame generation"
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CuteGIF
Convert video to GIF. Simple and fast
CuteGIF is a lightweight graphical tool designed to create and edit animated GIFs from video files or image sequences with a focus on simplicity and accessibility. It provides an intuitive interface where users can trim clips, adjust frame rates, and export GIFs without needing command-line tools. The application emphasizes quick workflows, allowing users to generate shareable animations in just a few steps. It supports customization of output quality, resolution, and playback speed to balance file size and visual fidelity. CuteGIF is built for casual users and content creators who need fast GIF generation for social media or messaging. ... -
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SOD
An Embedded Computer Vision & Machine Learning Library
SOD is an embedded, modern cross-platform computer vision and machine learning software library that expose a set of APIs for deep-learning, advanced media analysis & processing including real-time, multi-class object detection and model training on embedded systems with limited computational resource and IoT devices. SOD was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in open source as well as commercial products.... -
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Antarctica Theme
Stylish and feature-rich theme for Jekyll
The goal of Antarctica is evolving to an elegant and feature-rich theme across platforms. -
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Vivid 3D
Vivid is a modern C++ 3D engine using OpenGL4+
Vivid is a modern C++ 3D engine using OpenGL4+. It is written using Visual C++ 2022, and relies on several open source projects to achieve it's goal of making it easy and run to make modern games with it. -
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gifgen
Simple high quality GIF encoding
gifgen is a lightweight command-line tool designed to generate high-quality GIFs from video files using FFmpeg and optimized encoding techniques. It focuses on producing visually efficient GIFs by applying palette generation and dithering methods to balance quality and file size. The tool simplifies the process of converting video clips into GIF animations by automating multiple FFmpeg steps into a single command. It allows users to define parameters such as frame rate, resolution, and duration to control output characteristics. gifgen is particularly useful for developers and content creators who need quick and repeatable GIF generation workflows. ... -
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Yolo_mark
GUI for marking bounded boxes of objects in images
Yolo_mark is a desktop annotation tool for preparing image datasets used to train YOLO v2 and YOLO v3 object detectors. Its Windows and Linux interface lets users draw, move, copy, delete, and clear bounding boxes around labeled objects. Class identifiers can be selected from the keyboard, while shortcuts speed up navigation between images and repeated annotation tasks. The project generates image-coordinate files and a training image list in the format expected by Darknet. It can also... -
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jsgif
Save a HTML5 Canvas to GIF and Animations
jsgif is a pure JavaScript library for encoding still or animated GIF files from HTML5 graphics. It is a JavaScript port of the GIFEncoder portion of the earlier as3gif project. Developers can feed the encoder an HTML canvas context or raw image-data-style pixel arrays. Animated output can be configured with custom frame delays and repeat counts. Encoded data can be converted to Base64 for inline display, transferred to a server, or saved directly as a GIF file. The implementation includes... -
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gifify
Convert any video file to an optimized animated GIF
gifify is a command-line utility and Node.js-based tool designed to convert video files into optimized animated GIFs with high efficiency and flexibility. It leverages powerful multimedia tools such as FFmpeg, ImageMagick, and giflossy to produce lightweight GIF outputs while maintaining visual quality. The tool allows users to process full videos or extract specific segments, making it useful for creating short clips, demos, or previews. Its Unix-friendly design supports piping through... -
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Icarus Scene Engine
3D .NET engine for Windows, Linux, Mac
Icarus Scene Engine is a cross-platform, CLS-compliant 3D framework, integrating open source APIs into a cohesive all-open-source, all .NET solution. For Windows, MacOSX & Linux. Uses OpenTK, OpenGL, OpenAL APIs for graphics and audio. Runs on Mono/.NET. Links to FFMpeg for streaming video, and FreeType as a temporary conversion mod to bring fonts into a native XML format. Binary builds of Icarus will be infrequent, roughly every 18 months or so, the GIT code updates regularly on a... -
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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HMM-FRAME
Frameshift detection and correction for next-generation sequences
HMM-FRAME is designed to accurately locate and correct frameshift errors in next-generation sequencing (NGS) data using an augmented Viterbi algorithm on profile hidden Markov models (profile HMMs). By correcting the frameshift errors, it can classify more NGS sequences into their native protein domain families. -
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Application to create PDF document on the fly from any source file format(PRN,HTML,TEXT,CSV) with complete mailing system and reports module. It's made over following library Pdf - IText Web Server- Simple Frame work Database- H2
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A space sim game engine project, using Ogre3D for rendering, libnoise for galaxy, system, planet, city, npc generation; the goal is seamless transitioning between space flight, atmospheric flight and ground walking, and high frame rate, of course...
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Zulu is a light weight 802.11 wireless frame generation tool to enable fast and easy debugging and probing of 802.11 networks. It has an intuitive command line interface and operates with the madwifi-ng network drivers.
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Fully playable Java game demo illustrating basic game programming technics, such as sprite animation, pixmap fonts, time or frame related game loop, affine transformations, convolution filters, sound generation and playback...
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This is a frame buffer driver for linux kernel 2.2.x and 2.4.x for 3dfx's 1st an 2nd generation of "3D only" graphic boards, namely the voodoo graphics, aka SST and the voodoo2, aka CVG. Please take a look at the CVS, as the tarballs are often outdated
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Qwen2.5-VL-3B-Instruct
Qwen2.5-VL-3B-Instruct: Multimodal model for chat, vision & video
Qwen2.5-VL-3B-Instruct is a 3.75 billion parameter multimodal model by Qwen, designed to handle complex vision-language tasks in both image and video formats. As part of the Qwen2.5 series, it supports image-text-to-text generation with capabilities like chart reading, object localization, and structured data extraction. The model can serve as an intelligent visual agent capable of interacting with digital interfaces and understanding long-form videos by dynamically sampling resolution and frame rate. It uses a SwiGLU and RMSNorm-enhanced ViT architecture and introduces mRoPE updates for robust temporal and spatial understanding. ... -
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Qwen2.5-VL-7B-Instruct
Multimodal 7B model for image, video, and text understanding tasks
...Fine-tuned from Qwen2.5-VL, this 7-billion-parameter model can interpret visual content such as charts, documents, and user interfaces, as well as recognize common objects. It supports complex tasks like visual question answering, localization with bounding boxes, and structured output generation from documents. The model is also capable of video understanding with dynamic frame sampling and temporal reasoning, enabling it to analyze and respond to long-form videos. Built with an enhanced ViT architecture using window attention, SwiGLU, and RMSNorm, it aligns closely with Qwen2.5 LLM standards. The model demonstrates high performance across benchmarks like DocVQA, ChartQA, and MMStar, and even functions as a tool-using visual agent. -
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Gemma 4
Google’s flagship dense multimodal model for coding and reasoning
Gemma 4 is Google DeepMind’s flagship dense open-weight multimodal model, designed for high-end reasoning, coding, agentic workflows, and multimodal understanding. The model contains approximately 30.7B parameters and supports text and image inputs with text generation output, while also processing video as image-frame sequences. Built as the most capable model in the Gemma 4 family, it combines strong reasoning performance with a large 256K-token context window and configurable thinking modes. Gemma 4 31B supports native function calling, structured outputs, and more than 140 languages, making it suitable for enterprise assistants, coding agents, document analysis, and multilingual applications. ...
