Search Results for "video player linux" - Page 10
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Showing 795 open source projects for "video player linux"
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Tilificator is a sprite optimizing tool for old computers and video game systems. It tries to generate an optimal partitioning of an image into smaller MxN hardware sprites with various optimization goals.
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MahaKurawa MP4V-A Extractor
This software is a tool to extract video and audio file that contained
This software is a tool to extract video and audio file that contained by a .MP4 format. This software will not convert any video and audio file from yout .mp4 file. This software just extract them as it is. This tool is made for that specific purpose. This tool "MahaKurawa MP4 V-A Extractor V.10" can be obtained for free on https://www.mahakurawa.my.id. -
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ClassyVision
An end-to-end PyTorch framework for image and video classification
Classy Vision is a PyTorch-based framework designed for large-scale training and deployment of state-of-the-art image and video classification models. Developed by Facebook Research, it serves as an end-to-end system that simplifies the process of training at scale, reducing redundancy and friction in moving from research to production. Unlike traditional computer vision libraries that focus solely on modular components, Classy Vision provides a complete and unified framework, featuring... -
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mrViewer
Flipbook, Image Viewer and Audio-Video Player
This project is no longer active. It has been replaced by mrv2 at: www.sourceforge.net/p/mrv2 A video player, interactive image viewer, and flipbook for use in VFX, 3D computer graphics and professional illustration. -
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DeepFaceLive
Real-time face swap for PC streaming or video calls
You can swap your face from a webcam or the face in the video using trained face models. There is also a Face Animator module in DeepFaceLive app. You can control a static face picture using video or your own face from the camera. The quality is not the best, and requires fine face matching and tuning parameters for every face pair, but enough for funny videos and memes or real-time streaming at 25 fps using 35 TFLOPS GPU. -
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footswitch2
Audio Transcription software for Linux (Vlc) with a foot pedal
Footswitch 2 is a media player for transcribers on Linux. Written in python and using the python bindings for VLC it allows a transcriber to control the audio or video with a USB footpedal, and includes a set of macros that integrate into LibreOffice. This allows the transcriber to control the media player from within Libreoffice as well, making it useful for those who do not yet own a footpedal/footswitch. -
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Amiga Memories
A walk along memory lane
Amiga Memories is a project (started & released in 2013) that aims to make video programmes that can be published on the internet. The images and sound produced by Amiga Memories are 100% automatically generated. The generator itself is implemented in Squirrel, the 3D rendering is done on GameStart 3D. An Amiga Memories video is mostly based on a narrative. The purpose of the script is to define the spoken and written content. The spoken text will be read by a voice synthesizer (Text To... -
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footswitch3
Audio Transcription software for Linux (Gstreamer) with a foot pedal
Footswitch 3 is a media player for transcribers on Linux. Written in python using the python bindings for Gstreamer it allows a transcriber to control the audio or video with a foot pedal, and includes a set of macros that integrate into LibreOffice. This allows the transcriber to control the media player from within Libreoffice as well, making it useful for those who do not yet own a foot pedal/foot switch. -
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footswitch3basic
Audio Transcription software for Linux (Gstreamer) with a foot pedal
Footswitch3basic is a media player for transcribers on Linux. Written in python using the bindings for Gstreamer it allows a transcriber to control the audio or video with a foot pedal, and includes a set of macros that integrate into LibreOffice. This allows the transcriber to control the media player from within Libreoffice as well, making it useful for those who do not yet own a foot pedal/foot switch. -
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Present video folder overview in a novel way. Have a lot of files from camcorder or action cam. Need to sort them, dispose poor videos, edit (shorten) some that are to long and so on. The usual file managers show only 1 thumbnail per video, that is not enough. Note this is not a video editor but a special file manager to manage home videos by showing better information on your videos. Requirements: Python3, Gkt3, ffmpeg.
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footswitch2basic
Audio Transcription software for Linux (Vlc) with a foot pedal
Footswitch 2 (Basic) is a media player for transcribers on Linux. This version is a stripped down version of Footswitch2, containing only the absolute essentials for transcription. Written in python and using the python bindings for VLC it allows a transcriber to control the audio or video with a footpedal, and includes a set of macros that integrate into LibreOffice. -
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NÜWA - Pytorch
Implementation of NÜWA, attention network for text to video synthesis
Implementation of NÜWA, state of the art attention network for text-to-video synthesis, in Pytorch. It also contains an extension into video and audio generation, using a dual decoder approach. It seems as though a diffusion-based method has taken the new throne for SOTA. However, I will continue on with NUWA, extending it to use multi-headed codes + hierarchical causal transformer. I think that direction is untapped for improving on this line of work. In the paper, they also present a way... -
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Twitch Drops Miner
An app that allows you to AFK mine timed Twitch drops
TwitchDropsMiner is a desktop application that automates earning timed Twitch Drops by simulating “watch” activity without actually streaming video, letting users collect rewards while saving bandwidth and attention. It works by periodically fetching stream metadata to advance Drops progress, while maintaining a websocket connection to monitor which channels are online, offline, or changing status. The app is designed to reduce manual babysitting by switching channels automatically when a... -
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NeuMan
Neural Human Radiance Field from a Single Video (ECCV 2022)
NeuMan is a reference implementation that reconstructs both an animatable human and its background scene from a single monocular video using neural radiance fields. It supports novel view and novel pose synthesis, enabling compositional results like transferring reconstructed humans into new scenes. The pipeline separates human/body and environment, learning consistent geometry and appearance to support animation. Demos showcase sequences such as dance and handshake, and the code provides... -
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trimmer
Utility to concatanate, trim, and transcode video files.
This is a utility for simple post-production processing of video files. It will concatanate multiple files together, trim the beginning and end, and transcode. Uses VLC for the player and ffmpeg for transcoding. See the Wiki for more. -
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quantitative
Quantized transactions python3
The “quantitative” repository by Jack-Cherish is a tutorial-style codebase for quantitative trading written in Python — essentially a learning resource that guides users through building algorithmic trading strategies step by step. It’s organized as a sequence of lessons (lesson1, lesson2, etc.), making it approachable for learners who want to understand both theory and practice in quantitative finance. The repo is evidently tied to a popular video series (on Bilibili) that reportedly drew... -
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FrankMocap
A Strong and Easy-to-use Single View 3D Hand+Body Pose Estimator
FrankMocap is a monocular 3D human capture system that estimates body, hand, and optionally face pose from a single RGB image or video. It regresses parametric human models (e.g., SMPL/SMPL-X) directly, producing temporally stable meshes and joint angles suitable for animation or analytics. The pipeline couples a robust 2D keypoint detector with 3D mesh regression networks and priors that keep results anatomically plausible. It can run frame-by-frame or with temporal smoothing, and includes... -
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MMTracking
OpenMMLab Video Perception Toolbox
MMTracking is an open-source video perception toolbox by PyTorch. It is a part of OpenMMLab project. We are the first open-source toolbox that unifies versatile video perception tasks include video object detection, multiple object tracking, single object tracking and video instance segmentation. We decompose the video perception framework into different components and one can easily construct a customized method by combining different modules. MMTracking interacts with other OpenMMLab... -
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Real-ESRGAN
Real-ESRGAN aims at developing Practical Algorithms
Real-ESRGAN is a highly popular open-source project that provides practical algorithms for general image and video restoration using deep learning-based super-resolution techniques. It extends the original Enhanced Super-Resolution Generative Adversarial Network (ESRGAN) approach by training on synthetic degradations to make results more robust on real-world images, effectively enhancing resolution, reducing noise/artifacts, and reconstructing fine detail in low-quality imagery. The... -
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Video Pre-Training
Learning to Act by Watching Unlabeled Online Videos
The Video PreTraining (VPT) repository provides code and model artifacts for a project where agents learn to act by watching human gameplay videos—specifically, gameplay of Minecraft—using behavioral cloning. The idea is to learn general priors of control from large-scale, unlabeled video data, and then optionally fine-tune those priors for more goal-directed behavior via environment interaction. The repository contains demonstration models of different widths, fine-tuned variants (e.g. for... -
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GFPGAN
GFPGAN aims at developing Practical Algorithms
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration. Colab Demo for GFPGAN; (Another Colab Demo for the original paper model) Online demo: Huggingface (return only the cropped face) Online demo: Replicate.ai (may need to sign in, return the whole image). Online demo: Baseten.co (backed by GPU, returns the whole image). We provide a clean version of GFPGAN, which can run without CUDA extensions. So that it can run in Windows or on CPU mode. GFPGAN aims at developing... -
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G2SConverter
Convert models from GoldSource engine to Source engine with AI
Convert models from GoldSource engine to the Source engine with AI. This utility converts GoldSource engine models to Source engine models. A feature of this utility is the ability to improve the quality of textures of models using Upscaling, deblurring, and normal map generating. All operations to improve the quality of textures are performed by neural networks. To improve the quality of the texture, it is first Upscaled using RealESRGAN. The user can select scaling factor: x2, x4 or x8.... -
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KAIR
Image Restoration Toolbox (PyTorch). Training and testing codes
Image restoration toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSR/GAN, SwinIR. -
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Disco Diffusion
Notebooks, models and techniques for the generation of AI Art
A frankensteinian amalgamation of notebooks, models, and techniques for the generation of AI art and animations. This project uses a special conversion tool to convert the Python files into notebooks for easier development. What this means is you do not have to touch the notebook directly to make changes to it. The tool being used is called Colab-Convert. Initial QoL improvements added, including user-friendly UI, settings+prompt saving, and improved google drive folder organization. Now... -
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ruDALL-E
Generate images from texts. In Russian
We present a family of generative models from SberDevices and Sber AI! Models allow you to create images that did not exist before. All you need is a text description in Russian or another language. Try to create unique images together with generative artists using your own formulations. Ask generative artists to depict something special for you as well. The Kandinsky 2.0 model uses the reverse diffusion method and creates colorful images on various topics in a matter of seconds by text...
