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Showing 9 open source projects for "punch time linux"
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OpenShot Video Editor
Award-Winning Open Source Video Editing Software
OpenShot Video Editor is a powerful yet very simple and easy-to-use video editor that delivers high quality video editing and animation solutions. OpenShot offers a myriad of features and capabilities, including powerful curve-based Key frame animations, 3D animated titles and effects, slow motion and time effects, audio mixing and editing, and so much more. It’s available for Linux, Mac and Windows, with a very simple and friendly interface. Start creating stunning videos quickly and easily with OpenShot! -
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Anime4KCPP
A high performance anime upscaler
...HDN mode can better denoise, HDN level is from 1 to 3, higher for better denoising but may cause blur and lack of detail. Cross-platform, building have already tested in Windows, Linux, and macOS. -
3
ACNetGLSL
Anime4KCPP Net re-implemented in GLSL for real-time anime upscaling
ACNet is a CNN algorithm, implemented by Anime4KCPP, it aims to provide both high-quality and high performance. This GLSL implementation can be used in MPV player, it is cross-platform. Windows users can also use Anime4KCPP DirectShow Filter for MPC-HC/BE or potplayer. Download the glsl file and MPV player. Copy glsl to the root directory of MPV. Create a file named mpv.conf in the root directory of MPV, and add the following statement (Assume the glsl file name is ACNet.glsl). When playing... -
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Shotcut
Shotcut is a free, open source, cross-platform video editor.
Shotcut is a free, open source, cross-platform video editor for Windows, Mac and Linux. Major features include support for a wide range of formats; no import required meaning native timeline editing; Blackmagic Design support for input and preview monitoring; and resolution support to 4k. Copyright © 2011-2023 by Meltytech, LLC Shotcut is a trademark of Meltytech, LLC. -
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5
Video Object Remover – Frame-Accurate
🎥 A free & open-source Python tool to remove unwanted objects from videos frame-by-frame using brush masking and AI inpainting (OpenCV + FFmpeg). EXE included.
Video Object Remover – Frame Accurate Edition is a free and open-source desktop application that helps you remove unwanted objects, logos, or watermarks from videos using brush-based masking and AI inpainting. The tool extracts video frames using FFmpeg, lets you mask objects frame-by-frame, and removes them using OpenCV. Built with Python and Tkinter, it features a modern dark-themed GUI, adjustable brush tool, zoom control, and real-time logging. The cleaned video is rebuilt and... -
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AI Upscaler for Blender
AI Upscaler for Blender using Real-ESRGAN
Blender add-on to dramatically reduce render times using the Real-ESRGAN upscaler. Rendering an HD image in Blender takes 37 minutes. Upscaling can render a similar quality image in 5 mins total. Any PC or laptop can now do 3D rendering. 4k images can be rendered in the time it would take to render HD 1080p images. HD 1080p images can be rendered in record time on low-end hardware. Installation is easy. Just install the addon. No special hardware or GPU is required. Upscaling is done... -
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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... -
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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. -
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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... -
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