Search Results for "video frames" - Page 4
Sort By:
Showing 190 open source projects for "video frames"
View related business solutions-
$300 Free Credits to Build on Google CloudPut your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
-
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
-
1
This is an application for taking clips or frames from video file. It is written in Tcl/Tk and uses mplayer and ffmpeg under the hood.
-
2
Vimer
Adjust or convert audios and videos just by describing what you want
Vimer (VIdeo transforMER) is an AI powered GUI for FFmpeg, a cross-platfom and multilanguage app with a hassle-free interface for adjusting audio and video. You just need to choose the files you want to change, describe what you want and let the artificial intelligence take care of the rest, automatically generating and executing the necessary FFmpeg commands. Forget complicated codes. Whether converting formats, adjusting quality, adding effects, adjusting audio, or mixing different... -
3
pipeless
A computer vision framework to create and deploy apps in minutes
...Pipeless is inspired by modern serverless technologies. It provides the development experience of serverless frameworks applied to computer vision. You provide some functions that are executed for new video frames and Pipeless takes care of everything else. You can easily use industry-standard models, such as YOLO, or load your custom model in one of the supported inference runtimes. Pipeless ships some of the most popular inference runtimes, such as the ONNX Runtime, allowing you to run inference with high performance on CPU or GPU out-of-the-box. ... -
4
TikTok Filter Remover
Removes some filters from TikTok videos
Introducing our groundbreaking app designed to redefine your TikTok video editing experience! Tired of being limited by filters in downloaded TikTok videos? Our innovative program empowers you to effortlessly remove select filters, giving you unparalleled control over your content. Utilizing an intuitive interface, our app harnesses sophisticated algorithms and the robust capabilities of the Midjourney API to diligently reconstruct frames, striving for optimal results. ... -
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
-
5
YUView
The Free and Open Source Cross Platform YUV Viewer
YUView is a cross-platform multimedia analysis tool focused on inspecting raw video formats, particularly YUV data, with advanced visualization capabilities. Built using Qt, it provides a powerful interface for viewing, comparing, and analyzing video frames at a detailed level. The software supports a wide variety of YUV formats, RGB images, and raw bitstreams, including direct decoding of HEVC and other modern codecs. -
6
Simple Camera
Quick photo and video camera with a flash, customizable aspect ratio
This handy camera app is usable for both easy photo taking and video recording. You can also make different photo frames with this aesthetic photo editor and collage maker camera app. You can quickly switch between the front and rear camera in this open camera app, modify the save path or limit the resolution for your photo frames. This open camera app also helps you in defining photo frames so that you can take pictures with high resolution. -
7
enhancr
Video Frame Interpolation & Super Resolution using NVIDIA's TensorRT
enhancr is an elegant and easy to use GUI for Video Frame Interpolation and Video Upscaling which takes advantage of artificial intelligence - built using node.js and Electron. It was created to enhance the user experience for anyone interested in enhancing video footage using artificial intelligence. The GUI was designed to provide a stunning experience powered by state-of-the-art technologies without feeling clunky and outdated like other alternatives. It features blazing-fast TensorRT... -
8
The main purpose of this program is to provide functionality for extract hardcoded subtitles (hardsub) from video. It provides two main features: 1) Autodetection of frames with hardcoded text (hardsub) on video with saving info about timing positions. 2) Generation of cleared from background text images, which allows with usage of OCR programs (like FineReader, Subtitle Edit, Google Drive) to generate complete subtitles with original text and timing. ...
-
9
Amazon Kinesis Video Streams Parser Lib
Easy to work with the output of video streams
Amazon Kinesis Video Streams parser library is for developers to include in their applications that makes it easy to work with the output of video streams such as retrieving frame-level objects, metadata for fragments, and more. The Amazon Kinesis Video Streams Parser Library for Java enables Java developers to parse the streams returned by GetMedia calls to Amazon Kinesis Video. A streaming Mkv Parser called StreamingMkvReader that provides an iterative interface to read the MkvElements in... -
Cut Data Warehouse Costs by 54%BigQuery delivers 54% lower TCO with exabyte scale and flexible pricing. Free migration tools handle the SQL translation automatically.
-
10
mgnsVideoTranscoder
mgnsVideoTranscoder is a tool that allows to transcode video file
Full documentation is provided in docs\index.html inside archive file. -
11
CCTV Frame Timestamp Extractor
CCTV Footage Timestamp Search Tool
...Full details can be found in the paper published in Eighteenth Annual IFIP WG 11.9 International Conference on Digital Forensics. Link to paper: https://link.springer.com/chapter/10.1007/978-3-031-10078-9_8 The project has been divided into four modules: Framextract.py- Extracts frames from video footages Reconstruct.py- Attempts to repair unplayable video by extracting the frames. framestitch.py- Attempts to construct video using frames extracted from unplayable video. OCR.py- Performs image preprocessing & OCR on the extracted frames. -
12
-
13
AI Atelier
Based on the Disco Diffusion, version of the AI art creation software
Based on the Disco Diffusion, we have developed a Chinese & English version of the AI art creation software "AI Atelier". We offer both Text-To-Image models (Disco Diffusion and VQGAN+CLIP) and Text-To-Text (GPT-J-6B and GPT-NEOX-20B) as options. Making available complete source code of licensed works and modifications, which include larger works using a licensed work, under the same license. Copyright and license notices must be preserved. When a modified version is used to provide a... -
14
M Player+
Media player audio video file ; multimedia
M Player+ is an media player audio video file multimedia. Easy to use with friendly interface This project is open and free to anyone in the world who can contribute to improve the software. M Player+ uses the system’s native multimedia engine as a backend, and does not come with its own audio or video codecs. Thus the supported list of codecs is equivalent to the ones supported by the underlying OS. -
15
TS video file cutter
fast TS video file keyframe cutter
...You can then select multiple parts of recorded movie which will be saved while rest is ignored and create smaller file without advertisements. It works on file level without recompressing video, cut are made on key frames only. It have very simple but effective user interface. There is necessary to download and install FFMpeg first https://www.ffmpeg.org/ and on first usage configure path to FFMpeg executable files and working folder to store thumbnails. Selection / unselection is made on frames selected by mouse click and it is possible to start during FFMpeg is parsing video file. ... -
16
OpenCL(tm) Solar System Simulation
An OpenCL Solar System simulation
OpenCL is a trademark of Apple Inc., and is used under license by Khronos Uses OpenCL to accelerate the integration of a large number of solar system bodies. Video at http://youtu.be/xp2Qyar3krI Rogue Star simulation http://www.youtube.com/watch?v=2dJEhPYfJ5U Discussion at http://forum.beyond3d.com/showthread.php?p=1766406 -
17
Solemn2d
simple 2d animator app
simple 2d animator app capable of creating animations by flipping through images and adding sound, not missing out on other basic features -
18
FFME
FFME: The Advanced WPF MediaElement (based on FFmpeg)
...Additional and extended media events. Extracting (and modifying) video, audio and subtitle frames is very easy. Easily apply FFmpeg video and audio filtergraphs. Extract media metadata and specs of a media stream (title, album, bit rate, codecs, FPS, etc). Apply volume, balance and speed ratio to media playback. MediaState actually works on this control. -
19
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. -
20
...The generated textures (jpg) can be used in any apps and are 2x to 32x more compact than the original video . A single sub determines the texture index number and its coords according to time. other video => www.youtube.com/embed/p3HR0p_UDxI?rel=0 => https://www.youtube.com/watch?v=oRcc90RDmNc wind sail simulation added tides added ride horse added glgiftexture does the same thing with animated gif images added freeGIFviewer saves gif frames on disk and display them in openGL
-
21
Deep Exemplar-based Video Colorization
The source code of CVPR 2019 paper "Deep Exemplar-based Colorization"
...In order to colorize your own video, it requires to extract the video frames, and provide a reference image as an example. -
22
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. ... -
23
Control Room
A macOS app to control the Xcode Simulator
Control Room is a macOS application designed to give developers advanced control over Apple’s iOS, tvOS, and watchOS simulators, streamlining the process of testing and debugging apps. Built on top of Apple’s simctl command-line tool, it provides a graphical interface that simplifies complex simulator configurations and actions. Developers can manipulate various aspects of the simulated device environment, including network conditions, battery status, and system settings, without needing to... -
24
VideoPlayerDemo
Encapsulate ijkplay player, self-implementing bottom-streaming
VideoPlayerDemo is a multimedia demonstration project that showcases video playback capabilities within a mobile or desktop application environment. It focuses on integrating FFmpeg-based decoding with a custom rendering pipeline to display video content efficiently. The project demonstrates how to handle media streams, synchronize audio and video, and manage playback controls. It serves as a learning resource for developers exploring media frameworks and playback architectures. The... -
25
XIVO
X Inertial-aided Visual Odometry
...XIVO runs at 140FPS on stored data (here from a RealSense D435i sensor) or on live streams with a latency of around 1-7ms, depending on the hardware. It takes as input video frames from a calibrated camera and inertial measurements from an IMU and outputs a sparse point cloud with attribute features and 6 DOF pose of the camera. It performs auto-calibration of the relative pose between the camera and the IMU as well as the time-stamp alignment.
