Search Results for "gnu/linux" - Page 2
Sort By:
Showing 48 open source projects for "gnu/linux"
View related business solutions-
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.
-
Stop Storing Third-Party Tokens in Your DatabaseRolling your own OAuth token storage can be a security liability. Token Vault securely stores access and refresh tokens from federated providers and handles exchange and renewal automatically. Connected accounts, refresh exchange, and privileged worker flows included.
-
1
Orchid Studio is a beautiful full multimedia operating system that can edit sound, video, and photographs on a 10 year old laptop with just 4GB of memory. Although designed for 10 year old and newer 64-bit computers that are unable to upgrade to windows 11, it excels on newer systems. It works great on multi-monitor and ultra wide screen monitor setups. Orchid Studio can be run live from a USB drive, however is intended to be installed on a solid state drive or hard drive. Orchid...
-
2
enhancr
Video Frame Interpolation & Super Resolution using NVIDIA's TensorRT
...It features blazing-fast TensorRT inference by NVIDIA, which can speed up AI processes significantly. Pre-packaged, without the need to install Docker or WSL (Windows Subsystem for Linux) - and NCNN inference by Tencent which is lightweight and runs on NVIDIA, AMD and even Apple Silicon - in contrast to the mammoth of an inference PyTorch is, which only runs on NVIDIA GPUs. -
3
RENDER96-HD-TEXTURE-PACK
Texture pack for Super Mario 64
A collaboration texture pack for Super Mario 64 with the people over at the OldSchool HD, now known as Render 96, that is made of a compillation of the best results ESRGAN upscaling could make as the base for this project, as well of some of the original textures Nintendo used, and a heavier focus in original textures made by project contributors which will eventually be an overwhelming majority of what this project is made of. The end goal for this project is to use the original sources for... -
4
FFCreator
A fast video processing library based on node.js
FFCreator is a lightweight and flexible short video processing library based on Node.js. You only need to add some pictures, music, or video clips, you can use it to quickly create a very exciting video album. Nowadays, short video is an increasingly popular form of media communication. Like Weishi and Tiktok is full of all kinds of wonderful short videos. So how can users visually create video clips on the web easily and quickly? Based on pictures and Text content, dynamic batch generation... -
$300 in Free Credit Towards Top Cloud ServicesStart your project in minutes. After credits run out, 20+ products include free monthly usage. Only pay when you're ready to scale.
-
5
AI Models
A repository of trained models
All models (at least currently) are supported by chaiNNer, an upscaling GUI that allows for both very simple and very complex tasks to be completed in a nice manner where you "chain" nodes together. Highly recommended for images. If you're looking to upscale videos using the models then use enhancr simply due to the fact that it supports TensorRT, which will allow you to upscale videos at incredible speeds! The GUI is one of the best looking applications out there and is personally my go to... -
6
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.... -
7
VSGAN
VapourSynth Single Image Super-Resolution Generative Adversarial
Single Image Super-Resolution Generative Adversarial Network (GAN) which uses the VapourSynth processing framework to handle input and output image data. Transform, Filter, or Enhance your input video, or the VSGAN result with VapourSynth, a Script-based NLE. You can chain models or re-run the model twice-over (or more). Have low VRAM? Don’t worry! The Network will be applied in quadrants of the image to reduce up-front VRAM usage. You can use any RGB video input, including float32 (e.g.,... -
8
Easy Upscale
A simple image upscaler application using EDSR, ESPCN, FSRCNN, etc.
This application was made to fulfill the assignment for the Data Structures course. The concept of the application is an application to upgrade/enhance image quality. The main theme is queues, we implement circular queues for pooling/storing a list of images to be upscaled. Gui creation is made manually using the tkinter library. For the upscale process itself, it uses the OpenCV library with a model obtained from open source. Checked using vermin. Minimum required versions: 3.6 Incompatible... -
9
Robust Video Matting (RVM)
Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX
We introduce a robust, real-time, high-resolution human video matting method that achieves new state-of-the-art performance. Our method is much lighter than previous approaches and can process 4K at 76 FPS and HD at 104 FPS on an Nvidia GTX 1080Ti GPU. Unlike most existing methods that perform video matting frame-by-frame as independent images, our method uses a recurrent architecture to exploit temporal information in videos and achieves significant improvements in temporal coherence and... -
Stop Cyber Threats with VM-Series Next-Gen Firewall on AzureGain integrated visibility across all traffic in a single pass. Deploy Palo Alto Networks VM-Series to determine application identity and content while automating security policy updates via rich APIs.
-
10
textureAtlasTools
A set of tools for slicing a texture atlas to individual components
A set of tools for slicing a texture atlas to individual components and merging back. These tools simplify the approach for upscaling a texture atlas. Manually select some tiles in the texture atlas (that are placed in difficult positions) Add them to a json file following this pattern: json file; you can use any image editing tool such as GIMP to manually select and inspect the location, width and height of each selection. Run the tool with the split; this will automatically create a folder... -
11
VidCutter
A modern yet simple multi-platform video cutter and joiner
A modern, simple to use, constantly evolving and hella fast MEDIA CUTTER + JOINER w/ frame-accurate SmartCut technology, chapter support, media stream selection for audio + subtitle channels and blackdetect video filter support to automatically detect scene changes or skip commercials in digital TV recordings. Chapter support allows scene chapter names to be included in final media metadata. NOTE: results will only work in media players that support chapters. Flatpak release includes the... -
12
Upscale
This program is upscaling any image by a factor 2 using an algorithm
This program is upscaling any image by a factor 2 using an algorithm of cubic interpolation. You may need to install the following libraries to run the program, tqdm, itertools, and OpenCV. -
13
RxFFmpeg
FFmpeg 4.0 + X264 + mp3lame + fdk-aac + opencore-amr + openssl
RxFFmpeg is a high-performance multimedia processing framework built on top of FFmpeg and optimized specifically for Android environments, enabling developers to perform complex audio and video editing operations programmatically. It integrates widely used encoding libraries such as x264, mp3lame, and fdk-aac, allowing it to support a broad range of media formats and transformations. The framework provides a wrapper around FFmpeg commands, making it easier to execute advanced media... -
14
Anime4K-rs
An attempt to write Anime4K in Rust
An attempt to write Anime4K in Rust. Anime4K is a state-of-the-art*, open-source, high-quality real-time anime upscaling algorithm that can be implemented in any programming language. -
15
Super-résolution via CNN
Super resolution using a CNN, based on the work of the DGtal team
Super-resolution using a CNN, based on the work of the DGtal team. First of all, an Nvidia graphics card (neither AMD nor Intel integrated) is highly recommended to parallelize the CNN. You will then need to install CUDA. No CUDA = dozens of times slower. This program will generate "model_epoch_ .pth" files corresponding to the model at epoch n, in a folder saved_model_u t_bs bs_tbs tbs_lr lr, where corresponds to the scale factor, bsthe size of the training batch, tbsthe size of the test... -
16
MNIST-WGAN
A C# WGAN
This project generates hand-written digits from the MNIST dataset using WGAN architecture. While debugged, a few lingering issues may remain, if you encounter any please submit them and they will be resolved. The sources and features of the project can be found in the wiki. Before use, one should verify that the network architecture is as-desired. This may be done with the GUI to the right of the number display. The "Default" button resets the network to hard-coded values which I have... -
17
Anime4kSharp
Anime4K implemented in C#
Anime4KSharp is a .Net Core library that implements bloc97's Anime4K Algorithm version 0.9 and 1.0 RC2. The Algorithm is executed on the CPU, but utilizing all available CPU Cores. This yields to a conversion time of "only" 4432 ms when upscaling from 1080p to 2160p. This time could possibly be reduced with further optimization. Images are processed in four phases that are executed on a pixel- per- pixel basis. Each phase takes a input image and renders it to a output image. This makes it... -
18
VirtualDub2
An enhanced version of the original VirtualDub
A streamlined video editor with simple frame-by-frame timeline. Free, open-source, portable. The default package is ready for use with many essential plugins included, and can be further extended with 3rd party codecs and filters. See Wiki for detailed description: https://sourceforge.net/p/vdfiltermod/wiki. Previous name of this project: VirtualDub FilterMod -
19
TD-Anime4K
Implementation of Anime4K in TouchDesigner
Anime4K is an upscaler specifically for anime style. This repository is an implementation of Anime4K in TouchDesigner that can be used to upscale low-resolution textures to higher textures. Reduced texture loss, aliasing and banding. -
20
Music + Video + Animation Maker & App
Why Music + Video + Animation Maker & App is Fun?
Javaimagephp All-in-one video/film editor or maker makes sense as simple to use app for video/film or movie editing and animations/slideshows. It gets most of your imagination of an All-in-one video/film Animation editor / maker App. Video editing is made intuitive and simple. Lots of Special Effects ( > 55) ! For example this one http://ogena.ridoua.nu Formats supported are mp4, avi, flv, mov, flv and more. Description given image animation which seeks audio given a description.... -
21
-
22
Virtualdub filter blenderM
Mixes current masked Virtualdub frame with a previous frame
This version of Filter Blender has the capability of mixing modifications with a previous video frame. The original version by Steven Don could only use one mask or one set of percentage mixes. This version supports multiple masks and mixes. You can apply other filters to one area using a mask, then apply other mods to a different area using another mask, and so on. The original had, in my opinion, confusing options which mixed the current frame with saved frame B and applied the mask... -
23
Border Control Mod Virtualdub
Create pleasing border to video using Virtualdub
...Range of values is suitable for HD videos While this was intended for edge modification it can be used for special effects such as fading the edges of a scene to frame a center portion ... GNU General Public license Copyright (C) 2000-2002 Simon Walters Extensive Modifications by John M. Clement (C) 2014
