Search Results for "ofn3-export-layers"
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Showing 15 open source projects for "ofn3-export-layers"
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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... -
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FFmpeg Quality Metrics
Calculate quality metrics with FFmpeg (SSIM, PSNR, VMAF, VIF)
FFmpeg Quality Metrics is a Python-based tool that evaluates video quality by calculating objective metrics using FFmpeg. It supports widely used metrics such as PSNR, SSIM, VIF, MSAD, and VMAF, enabling detailed comparison between reference and distorted video files. The tool outputs both per-frame data and aggregated statistics like averages and standard deviation, making it useful for research, encoding optimization, and benchmarking. It also includes optional visualization features... -
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Twspace-dl
A python module to download twitter spaces
Twspace-dl is a Python-based tool designed to download audio content from Twitter Spaces, enabling users to archive live or recorded sessions locally. It works by extracting streaming URLs and processing them with FFmpeg to generate downloadable audio files. The tool supports both command-line and graphical interfaces, making it accessible to different types of users. It requires authentication via exported cookies due to API restrictions, ensuring access to protected content. twspace-dl... -
4
FrameShoot
A simple program to create stop-motion animations with your webcam
FrameShoot is a Windows program written in Python to create stop-motion animations with your webcam. Windows binaries and Python sources available. -
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5
footswitch2
Audio Transcription software for Linux (Vlc) with a foot pedal
...There are multiple timestamp macros, along with media player control macros for Play/Pause toggle Jump backwards Jump forwards Slower Faster Normal Audio speed Jump to timestamp Allows for multiple transcription clients, database export for spreadsheet invoicing. This combination of fs2 and libreoffice unlike some other transcription tools, means you are working in a world class editor, with the ability to save documents in multiple formats, including Microsoft Word formats. -
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auto-subtitle
Automatically generate and overlay subtitles for any video
auto-subtitle is a Python-based command-line tool that automatically generates and overlays subtitles on video files using AI-driven speech recognition. It combines FFmpeg with OpenAI’s Whisper model to transcribe spoken audio into text and synchronize it with video playback. The tool processes video input, extracts audio, and produces subtitle files that can be either exported separately or burned directly into the final video output. It supports multiple transcription models with varying... -
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Automatic YouTube subtitle generation
Using OpenAI's Whisper to automatically generate YouTube subtitles
Automatic YouTube subtitle generation is a command-line tool that combines YouTube downloading capabilities with AI-powered transcription using Whisper models. It allows users to download videos or audio from YouTube and automatically generate subtitles or transcripts. The tool processes media locally, extracting audio and applying speech recognition to produce accurate text outputs. It supports multiple languages and can handle different Whisper model sizes, balancing performance and... -
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video-to-ascii
It is a simple python package to play videos in the terminal
video-to-ascii is a Python-based command-line tool that converts and plays video files directly in the terminal using ASCII characters as visual representations. It processes each frame of a video, maps pixel brightness and color values to characters, and renders them in real time within terminal constraints. The tool adapts video resolution to match terminal dimensions, ensuring a coherent and readable output despite limited character space. It can optionally include audio playback when... -
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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 Temporal Spatial Attention fusion) that align information across frames and emphasize important features for restoration, enabling state-of-the-art performance on benchmarks such as the REDS challenge. ... -
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YouTube-8M
Starter code for working with the YouTube-8M dataset
...The code demonstrates how to process frame-level features, train logistic and deep learning models, evaluate them using metrics like global Average Precision (gAP) and mean Average Precision (mAP), and export trained models for MediaPipe inference. -
11
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. For example, check out... -
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Video Nonlocal Net
Non-local Neural Networks for Video Classification
video-nonlocal-net implements Non-local Neural Networks for video understanding, adding long-range dependency modeling to 2D/3D ConvNet backbones. Non-local blocks compute attention-like responses across all positions in space-time, allowing a feature at one frame and location to aggregate information from distant frames and regions. This formulation improves action recognition and spatiotemporal reasoning, especially for classes requiring context beyond short temporal windows. The repo... -
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Spatial Media
Specifications and tools for 360º video and spatial audio
...Creators use it to prepare 360/VR180 assets for upload so services know whether a video is monoscopic, top-bottom stereo, or side-by-side, and whether ambisonic audio is present. By separating metadata handling from encoding, the tools slot into existing editing/export workflows without requiring specialized NLE support. They help ensure assets play back with the right projection, field of view, and head-tracked audio in compliant players. For archive and validation use cases, the scripts can also read existing flags to diagnose why a video isn’t being recognized as immersive. -
14
pyShotDetect
(Auto-)Detect Video Scene Changes, output an edit list
Update Node: R3 incorporates a variety of UI improvements and standard timecode export. Given a .dv file automatically detect scene changes within that file (best performance on cuts and fade through/to black). Write a .kino file with each of the scenes for post-processing. Dependencies: (Python) openCV matplotlib Tkinter -
15
pulsorclip
Download videos from almost any website
PulsorClip is a self-hosted media download workspace that allows users to process and download media from a wide range of online platforms. Built around the yt-dlp and ffmpeg engines, it supports over a thousand websites, including major platforms like YouTube, TikTok, Instagram, and others, enabling media extraction in multiple formats. The application focuses on a controlled workflow instead of instant downloads. Users first provide a media URL, then select format, quality, and...
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