Search Results for "python-snap7" - Page 6
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Showing 325 open source projects for "python-snap7"
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youtube-dl
Download videos from YouTube (and more sites)
youtube-dl is a command-line program to download videos from YouTube and a few more sites. It requires the Python interpreter (2.6, 2.7, or 3.2+), and it is not platform specific. We also provide a Windows executable that includes Python. youtube-dl should work in your Unix box, in Windows or in Mac OS X. It is released to the public domain, which means you can modify it, redistribute it or use it however you like. youtube-dl is a powerful, open-source command-line program designed to facilitate the downloading of videos and audio from popular video streaming websites. ... -
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ARPT-Bot
Tool designed to interact with streaming or media-related platforms
ARPT-Bot is an automation tool designed to interact with streaming or media-related platforms, providing automated recording, monitoring, or processing capabilities. It is built to handle repetitive tasks such as tracking live streams, managing content, or executing scripted workflows. The system typically integrates with multimedia tools like FFmpeg to process or capture streams efficiently. It emphasizes automation and reliability, enabling long-running tasks without manual intervention.... -
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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... -
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Movie / Tv File Sorter
Effectively Sort Your Movies and Tv Shows Into Their Own Folders
Great For People Who Downloads Alot Of Movies / Tv Shows & Needs To Sort Them Into Their Own Folders. Requirements: - Python 3.8 or newer How To Run The Program: - Windows Users: Just Run The Mt Sorter.py File - Mac / Linux Users: Open Terminal & Navigate To Where The File Is Located & Type "python3 Mt\ Sorter.py" Without Quotes If you need to rename the file you can just make sure the extension stays ".py" -
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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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pytube
A lightweight, dependency-free Python library
Pytube is a lightweight, dependency-free Python library that enables downloading YouTube videos and audio streams with minimal setup. It supports video resolution selection, progressive or adaptive streams, and caption downloads. Pytube is ideal for automation scripts, archiving tools, and media applications that need to interface with YouTube content programmatically. -
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Telegram WebRTC (VoIP)
Voice chats, private incoming and outgoing calls in Telegram
Telegram WebRTC (VoIP) is a Python and C++ library that enables real-time voice and video communication features for Telegram bots and clients. It provides an interface for joining, managing, and streaming audio or video in Telegram group calls and voice chats. The library is built on top of low-level communication protocols, ensuring efficient handling of real-time media streams. -
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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... -
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TimeSformer
The official pytorch implementation of our paper
TimeSformer is a vision transformer architecture for video that extends the standard attention mechanism into spatiotemporal attention. The model alternates attention along spatial and temporal dimensions (or designs variants like divided attention) so that it can capture both appearance and motion cues in video. Because the attention is global across frames, TimeSformer can reason about dependencies across long time spans, not just local neighborhoods. The official implementation in PyTorch... -
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VidCutter
the simplest & fastest video cutter & joiner
A modern, simple to use, constantly evolving and hella fast MEDIA CUTTER + JOINER w/ frame-accurate SmartCut technology + Qt5, libmpv, FFmpeg and MediaInfo powering the backend. -
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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. -
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PyDownloader
PyDownloader is simple program for download media from web-sites
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Savify
Download Spotify songs to mp3 with full metadata and cover art
Savify is a command-line tool designed to download and archive music from Spotify by leveraging YouTube as the audio source while preserving Spotify metadata. It allows users to input playlists, albums, or individual tracks and automatically retrieves matching audio files with proper tagging. The tool integrates FFmpeg and yt-dlp to handle downloading, conversion, and formatting into common audio formats such as MP3. It enriches files with metadata including artist, album, cover art, and... -
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BasicSR
Winning Solution in NTIRE19 Challenges on Video Restoration
BasicSR is a deep learning framework designed for advanced video restoration tasks such as video super-resolution, deblurring, and denoising. Unlike single-image restoration models, EDVR addresses the temporal dimension by aligning multiple video frames using deformable convolutional layers in a coarse-to-fine manner, allowing it to effectively handle large motion and complex scene dynamics. The architecture includes bespoke modules (e.g., Pyramid, Cascading and Deformable alignment and... -
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Youtube Video Downloader
Youtube Video Downloader is Open Source GUI tool
Youtube Video Downloader is Open Source GUI tool to download Youtube video. It is Developed with Python, Qt, and Pytube Library. It is Multi-thread Application. Best Available Option download video in highly available Quality . Download Videos in 720p, 480p, 360p etc. -
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Bulk LUTs Previewer 2.8.4
Generate a preview gallery for your LUTs.
Quickly generate a gallery to preview your (Look Up Tables) luts on selected still frame, or video. 1) Import a still image. (jpg, jpeg, png, bmp) *) (Or select video. (mpg, mpeg, mp4, mov, mts, avi, webm, mkv)) 2) Choose path to your lutsfolder. (cube, 3dl, dat, m3d) 3) Generate. (If video selected, use scroll wheel to preview luts) All preview images that is generated is stored in '.\OUT' folder, and then deleted upon restart of the application. > [Changelog] - Version... -
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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... -
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DeepFaceLab
The leading software for creating deepfakes
DeepFaceLab is currently the world's leading software for creating deepfakes, with over 95% of deepfake videos created with DeepFaceLab. DeepFaceLab is an open-source deepfake system that enables users to swap the faces on images and on video. It offers an imperative and easy-to-use pipeline that even those without a comprehensive understanding of the deep learning framework or model implementation can use; and yet also provides a flexible and loose coupling structure for those who want to... -
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SaveTube
Youtube-dl GUI Wrapper
A cross platform front-end GUI as well as simple CLI of the popular youtube-dl media downloader written in tkinter. SaveTube is a command-line as well as GUI program to download videos from YouTube.com and a few more sites. It requires youtube-dl and the Python interpreter, version 3.2+, also it is not platform specific. It should work on your Unix box, on Windows or on macOS. -
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Monkey-DL
Bulk download your favourite anime episodes from your favourite anime
Monkey-DL is a command-line media downloader designed to retrieve video and audio content from online platforms with flexibility and automation. It integrates with tools like FFmpeg to handle post-processing tasks such as merging streams, converting formats, and optimizing output quality. The tool supports downloading single media files or entire playlists, enabling efficient batch operations. It includes options for selecting resolution, format, and output structure, giving users fine... -
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MystiQ
Qt5/C++ FFmpeg Media Converter
MystiQ is a cross-platform multimedia converter built with Qt and FFmpeg, designed to provide a modern graphical interface for video and audio processing tasks. It allows users to perform operations such as transcoding, trimming, and format conversion without needing to use command-line tools. The application supports a wide range of codecs and formats, enabling compatibility across devices and platforms. It includes batch processing capabilities, allowing multiple files to be converted... -
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FastoCloud PRO
IPTV/NVR/CCTV/Video cloud https://fastocloud.com
IPTV/Video cloud Features: Cross-platform (Linux, MacOSX, FreeBSD, Raspbian/Armbian) GPU/CPU Encode/Decode/Post Processing Stream statistics CCTV Adaptive hls streams Load balancing Temporary urls HLS push EPG scanning Subtitles to text conversions AD insertion Logo overlay Video effects Relays Timeshifts Catchups Playlists Restream/Transcode from online streaming services like Youtube, Twitch ... -
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Subtitle Finder
This software will help you to find subtitle easily.
...View Details of Version 4.9: https://youtu.be/dJNskqNHucg View Details of Version 2.7: https://youtu.be/yDOLU2X_Ft0 Put this software in the folder containing movie(s) and run to enjoy. OR Install the software, right click on any movie and Click on download subtitle! This software was made by Python. -> Framework for UI: wxPython Please report a bug to make it disappear in next update. Contact: * Email: xayed42@gmail.com * Facebook: Abdullah Xayed (https://facebook.com/xayed42) -
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PyTorch Natural Language Processing
Basic Utilities for PyTorch Natural Language Processing (NLP)
PyTorch-NLP is a library for Natural Language Processing (NLP) in Python. It’s built with the very latest research in mind, and was designed from day one to support rapid prototyping. PyTorch-NLP comes with pre-trained embeddings, samplers, dataset loaders, metrics, neural network modules and text encoders. It’s open-source software, released under the BSD3 license. With your batch in hand, you can use PyTorch to develop and train your model using gradient descent. -
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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. It was developed to support the YouTube-8M Video Understanding Challenge (hosted on Kaggle and featured...
