Search Results for "deep"
Sort By:
Showing 17 open source projects for "deep"
View related business solutions-
$300 Free Credits for Your Google Cloud ProjectsLaunch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
-
Stop Cyber Threats with VM-Series Next-Gen Firewall on AzureGain integrated visibility across all traffic in a single pass. Deploy Palo Alto Networks VM-Series to determine application identity and content while automating security policy updates via rich APIs.
-
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. -
Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
-
5
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. -
6
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. -
7
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. -
8
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. -
9
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. -
Secure File Transfer for Windows with Cerberus by RedwoodCerberus supports unlimited users and connections on a single IP, with built-in encryption, 2FA, and a browser-based web client — all deployable in under 15 minutes with a 25-day free trial.
-
10
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... -
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
DeepFaceLab
The leading software for creating deepfakes
...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 strengthen their own pipeline with other features without having to write complicated boilerplate code. DeepFaceLab can achieve results with high fidelity that are indiscernible by mainstream forgery detection approaches. ... -
13
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: -
14
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 -
15
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. -
16
High Speed Parallel Imaging (HSPI)
HSPI does parallel capture and sky surveys.
HSPI offers to the astronomer the possibility to capture pictures from the CCD camera in a fast and intuitive way, keeping under control all the instrumentation in posses. HSPI can control the CCD camera, the mount, the focuser, the filter wheel and the dome from a single interface, and not only this: these features can be added on as many observatories and instrumentations you want. HSPI is ASCOM and INDI compatible, so if you want to use particular setups like Linux computers connected... -
17
NewVideoRecorder is a high quality video capture toolkit for Linux. It includes deep buffering, smooth dropping and dynamic audio warping (for perfect A/V synch). It supports most input sources, and a variety of output formats.
- Previous
- You're on page 1
- Next
