Search Results for "recognition"
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Showing 12 open source projects for "recognition"
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1
Video-subtitle-extractor
A GUI tool for extracting hard-coded subtitle (hardsub) from videos
Video hard subtitle extraction, generate srt file. There is no need to apply for a third-party API, and text recognition can be implemented locally. A deep learning-based video subtitle extraction framework, including subtitle region detection and subtitle content extraction. A GUI tool for extracting hard-coded subtitles (hardsub) from videos and generating srt files. Use local OCR recognition, no need to set up and call any API, and do not need to access online OCR services such as Baidu and Ali to complete text recognition locally. ... -
2
Windrecorder
Windrecorder is a memory search app by records everything
Windrecorder is an open-source personal memory search engine that continuously records on-screen activity in a highly optimized and storage-efficient format. It captures screen content locally and builds a searchable database using OCR and image understanding, allowing users to rewind and rediscover anything they have previously seen. The system indexes only meaningful visual changes, extracting text, browser data, and contextual information to improve search accuracy and reduce storage... -
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VMZ (Video Model Zoo)
VMZ: Model Zoo for Video Modeling
The codebase was designed to help researchers and practitioners quickly reproduce FAIR’s results and leverage robust pre-trained backbones for downstream tasks. It also integrates Gradient Blending, an audio-visual modeling method that fuses modalities effectively (available in the Caffe2 implementation). Although VMZ is now archived and no longer actively maintained, it remains a valuable reference for understanding early large-scale video model training, transfer learning, and multimodal... -
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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 accuracy and performance, allowing users to balance speed and quality depending on their needs. ... -
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5
VATSG
Video automatic transcribe and translated subtitle generator
...This is the subtitle generator(VATSG) which use [moviepy](https://github.com/Zulko/moviepy) to generate mp3 and then use [faster-whisper](https://github.com/guillaumekln/faster-whisper) to get text recognition and then use deepl-api to generate your target language subtitle file(srt format) If you are a general user who want to view any video file and mp3 file to your language, It will provide way. It's very easy to use because it has simple gui and very intuitive. So you can easily use it for any purpose. Now, you can choose to download either window installer setup type or uninstalled type. ... -
6
Automatic YouTube subtitle generation
Using OpenAI's Whisper to automatically generate YouTube subtitles
...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 accuracy. yt-whisperc is designed for automation, enabling batch processing of multiple videos for transcription workflows. It also provides options for exporting subtitles in common formats such as SRT. ... -
7
AutoSub
A CLI script to generate subtitle files (SRT/VTT/TXT) for any video
...AutoSub leverages FFmpeg for media handling and integrates with speech recognition engines for transcription. It is particularly useful for content creators who want to quickly produce subtitles without manual effort. Overall, it simplifies the process of making media content accessible and searchable. -
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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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Video Nonlocal Net
Non-local Neural Networks for Video Classification
...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 provides training recipes and models for standard datasets, as well as ablations that show how many non-local blocks to insert and at which stages. Efficient implementations keep memory and compute manageable so the blocks can be added without rewriting the entire backbone. ... -
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10
avimmir
(audio, video, image) Multimedia Multimodal Information Retrieval
audio classification; speaker segmentation; speaker clustering; speaker recognition; spoken document retrieval; image retrieval; video retrieval; etc. -
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Ivolution
Timelapse creation using Face Recognition
Ivolution is a face timelapse generator. Feed it with a bunch of images and it will generate a movie with your face centered on the screen. Ivolution uses face detection and modifies the images so that your face always keeps the same size and location over the movie. Images are processed in chronological order, so that you can see your face evoluate over time ! -
12
ViAmI-Server
Pattern recognition for ADL events
This software uses computer vision algorithms for mining sequence data from telemonitoring data with CBRs. We propose an approach which treats the detection of changes in behavior detected with a sensor/video fusion, which occur at radically different time-scales, through a CBR in two levels: low and high level. The system is always updating the database with the daily data.
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