Search Results for "process open"
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Showing 13 open source projects for "process open"
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Bayesian Optimization
Python implementation of global optimization with gaussian processes
This is a constrained global optimization package built upon bayesian inference and gaussian process, that attempts to find the maximum value of an unknown function in as few iterations as possible. This technique is particularly suited for optimization of high cost functions, situations where the balance between exploration and exploitation is important. More detailed information, other advanced features, and tips on usage/implementation can be found in the examples folder. Follow the basic... -
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Segmentation Models
Segmentation models with pretrained backbones. PyTorch
Segmentation models with pre trained backbones. High-level API (just two lines to create a neural network) 9 models architectures for binary and multi class segmentation (including legendary Unet) 124 available encoders (and 500+ encoders from timm) All encoders have pre-trained weights for faster and better convergence. Popular metrics and losses for training routines. All encoders have pretrained weights. Preparing your data the same way as during weights pre-training may give you better... -
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YT Channel Downloader
Download YouTube channels, playlists, videos, audios with easy login.
YT Channel Downloader is a powerful and user-friendly application that enables you to selectively or entirely download YouTube channels, playlists or individual videos and audios with ease. The app supports high-quality video and audio downloads, including 4K resolution and best available audio tracks. With a simple YouTube login process, you can download private or age-restricted content using your session cookies. The application offers extensive customization options, allowing you to... -
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DPG for X (dpg4x) is a program that was designed to allow the easy creation of DPG video files on Linux, but now it can also run on OS X and Windows. DPG is a special format of MPEG-1 video specifically made for playback on a Nintendo DS.
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YehDown
Yeahdown: Easy-to-use video downloader for Windows
Yeahdown is a straightforward, user-friendly Windows-based application designed to simplify the process of downloading videos and audio from popular websites like YouTube and Vimeo. Perfect for non-technical users, it offers an intuitive interface and fast, reliable downloads. Key features include improved download speeds, support for multiple major video platforms, and real-time updates for new features. Tested on windows 11. -
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Warlock-Studio
AI Suite for upscaling, interpolating & restoring images/videos
v6.0. Warlock-Studio is a Windows application that uses Real-ESRGAN, BSRGAN, IRCNN, GFPGAN, RealESRNet, RealESRAnime and RIFE Artificial Intelligence models to upscale, restore faces, interpolate frames and reduce noise in images and videos. the application supports GPU acceleration (including multi-GPU setups) and offers batch processing for large workloads. It includes drag-and-drop handling for single or multiple files, optional pre-resize functions, and an automatic tiling system... -
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SimpleVideoEncoder
Simple video encoder
Simple video encoder is GUI for ffmpeg designed to encode video files. The application is designed so that the process of starting the encoding of one or more videofiles takes 2-3 clicks. -
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mgnsVideoTranscoder
mgnsVideoTranscoder is a tool that allows to transcode video file
Full documentation is provided in docs\index.html inside archive file. -
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Easy Upscale
A simple image upscaler application using EDSR, ESPCN, FSRCNN, etc.
...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 versions: 2. -
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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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Consistent Depth
We estimate dense, flicker-free, geometrically consistent depth
Consistent Depth is a research project developed by Facebook Research that presents an algorithm for reconstructing dense and geometrically consistent depth information for all pixels in a monocular video. The system builds upon traditional structure-from-motion (SfM) techniques to provide geometric constraints while integrating a convolutional neural network trained for single-image depth estimation. During inference, the model fine-tunes itself to align with the geometric constraints of a... -
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YouTube-8M
Starter code for working with the YouTube-8M dataset
youtube-8m is Google’s open source starter code and reference implementation for training and evaluating machine learning models on the YouTube-8M dataset, one of the largest video understanding datasets publicly released. The repository provides a complete pipeline for video-level and frame-level modeling using TensorFlow, including data reading, model training, evaluation, and inference. -
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Chrome-Cut
Python3 tool to scan, detect and control chromecast devices
Basic GUI, CLI tool programmed in Python 3.4 and QT5. It gives you the ability to detect, scan and send some useful HTTP requests "Commands" to endless amount of chromecast devices. As well as the ability to loop the commands so the process of repeating it will be automated with a set duration in-which the looping will be done.
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