Search Results for "deep"
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Showing 14 open source projects for "deep"
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1
Transcoder
Hardware-accelerated video transcoding using Android MediaCodec APIs
...Unlike traditional speech translation systems that rely on multi-stage pipelines, Transcoder directly translates one speaker’s video into another language while preserving facial expressions, lip-sync, and vocal identity. Designed for real-time use and production-grade pipelines, Transcoder combines advanced deep learning models with GPU acceleration to deliver high-quality translations across languages. It’s built with researchers and developers in mind, offering tools for testing, evaluating, and deploying AI-driven media localization. -
2
fooyin
A customisable music player
...Its library management tools offer advanced filtering, tagging, and playlist organization for large music collections. Designed primarily for Linux, it emphasizes performance and deep customization over simplicity. -
3
OpenCV
Open Source Computer Vision Library
The Open Source Computer Vision Library has >2500 algorithms, extensive documentation and sample code for real-time computer vision. It works on Windows, Linux, Mac OS X, Android, iOS in your browser through JavaScript. Languages: C++, Python, Julia, Javascript Homepage: https://opencv.org Q&A forum: https://forum.opencv.org/ Documentation: https://docs.opencv.org Source code: https://github.com/opencv Please pay special attention to our tutorials!... -
4
FFmpegCommand
Command library suitable for Android. It implements audio and video
...It supports common operations such as transcoding, trimming, and format conversion. FFmpegCommand is particularly useful for users who want to leverage FFmpeg’s power without needing deep technical knowledge. It also enables experimentation by allowing users to test configurations before execution. Overall, it bridges the gap between ease of use and advanced media processing functionality. -
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5
YUView
The Free and Open Source Cross Platform YUV Viewer
...It includes tools for frame navigation, zooming, and side-by-side comparison, making it ideal for debugging and research in video compression. YUView can also display internal codec data such as motion vectors and prediction modes, giving deep insight into encoding processes. With integration support for FFmpeg and reference decoders, it extends beyond simple playback into a full analysis environment. Its extensible design allows for additional decoding and visualization modules. -
6
AI Upscaler for Blender
AI Upscaler for Blender using Real-ESRGAN
...Upscaling is done entirely on the CPU. Blender renders a low-resolution image. The Real-ESRGAN Upscaler upscales the low-resolution image to a higher-resolution image. Real-ESRGAN is a deep learning upscaler that uses neural networks to achieve excellent results by adding in detail when it upscales. -
7
mrViewer
Flipbook, Image Viewer and Audio-Video Player
This project is no longer active. It has been replaced by mrv2 at: www.sourceforge.net/p/mrv2 A video player, interactive image viewer, and flipbook for use in VFX, 3D computer graphics and professional illustration. -
8
G2SConverter
Convert models from GoldSource engine to Source engine with AI
...To improve the quality of the texture, it is first Upscaled using RealESRGAN. The user can select scaling factor: x2, x4 or x8. After the Upscaling procedure, the texture is deblured using the Scale-recurrent Network for Deep Image Deblurring. An example of a processed texture is shown in the following image (parameters used: scaling-factor = 4 and deblur iterations = 4) besides upscaling and debluring the utility also generates normal maps for each texture. This is implemented using the DeepBump by HugoTiny model. Examples of normal maps are shown in the following images. -
9
vdx
An intuitive CLI for processing video, powered by FFmpeg
...It supports chaining multiple transformations in a single command, enabling streamlined workflows for video editing and automation. vdx relies on Node.js and FFmpeg, making it portable across systems where these dependencies are available. Its focus on usability makes it accessible for both developers and content creators who want quick transformations without deep FFmpeg knowledge. Overall, it acts as a productivity layer that abstracts FFmpeg complexity into simple CLI commands. -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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10
quick-media
media(audio/image/qrcode/markdown/html/svg/png) support
...It supports batch processing, making it efficient for handling multiple media files in a single workflow. quick-media is designed for developers and content creators who want to automate repetitive media tasks without deep FFmpeg expertise. Its modular structure allows integration into scripts or larger pipelines. Overall, it serves as a productivity tool for managing multimedia processing tasks efficiently. -
11
Xabe.FFmpeg
.NET Standard wrapper for FFmpeg. It allows to process media
...It includes utilities for retrieving media information through FFprobe, enabling detailed analysis of files. Xabe.FFmpeg is designed to work across platforms and integrates easily into C# projects without requiring deep knowledge of FFmpeg commands. It also supports progress tracking and event handling during processing tasks. Overall, it provides a developer-friendly approach to multimedia processing in .NET environments. -
12
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 Mozaic Many Outputs Physical Inputs Streaming Protocols File Formats Presets Vods/Series server-side support Pay per view channels Channels on demand HTTP Live Streaming (HLS) server-side support Public API, client server communication via JSON RPC Protocol gzip compression Deep learning video analysis Supported deep learning frameworks: Tensorflow NCSDK Caffe ML Hardware: -
13
VirtualDub2
An enhanced version of the original VirtualDub
A streamlined video editor with simple frame-by-frame timeline. Free, open-source, portable. The default package is ready for use with many essential plugins included, and can be further extended with 3rd party codecs and filters. See Wiki for detailed description: https://sourceforge.net/p/vdfiltermod/wiki. Previous name of this project: VirtualDub FilterMod -
14
YouTube-8M
Starter code for working with the YouTube-8M dataset
...It was developed to support the YouTube-8M Video Understanding Challenge (hosted on Kaggle and featured at ICCV 2019), enabling researchers and practitioners to benchmark video classification models on large-scale datasets with over millions of labeled videos. 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.
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