Search Results for "video frames" - Page 3
Sort By:
Showing 96 open source projects for "video frames"
View related business solutions-
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.
-
$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.
-
1
AI-Aimbot
CS2, Valorant, Fortnite, APEX, every game
AI-Aimbot is a computer vision project that demonstrates how artificial intelligence can be used to automatically identify and target opponents in video games. The system uses an object detection model based on the YOLOv5 architecture to detect human-shaped characters in gameplay screenshots or video frames. Once a target is identified, the program automatically adjusts the player’s aim toward the detected target, effectively automating the aiming process in first-person shooter games. ... -
2
jfVideo Creator
Video producer
jfVideo is a video creator where you can merge video, image and audio files into one file. Each element can have many effects applied such as transparency, fade in, colour filtering (ie: green boarding), 3D positioning, cut frames, and many more. -
3
ProPainter
Improving Propagation and Transformer for Video Inpainting
ProPainter is a video inpainting project based on the ICCV 2023 paper “Improving Propagation and Transformer for Video Inpainting.” It is designed to remove objects, complete missing regions, and fill masked areas in videos while preserving temporal consistency. The project accepts video input or split frames along with frame-wise masks that define the areas to reconstruct. -
4
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... -
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.
-
5
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. ... -
6
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. -
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
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... -
9
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... -
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.
-
10
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. -
11
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. -
12
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. -
13
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... -
14
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... -
15
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. -
16
VoTT
Visual Object Tagging Tool, an electron app for building models
Visual Object Tagging Tool: An electron app for building end-to-end Object Detection Models from Images and Videos. An open source annotation and labeling tool for image and video assets. VoTT is a React + Redux Web application, written in TypeScript. This project was bootstrapped with Create React App. VoTT can be installed as a native application or run from source. VoTT is also available as a stand-alone Web application and can be used in any modern Web browser. VoTT is available for... -
17
I3D models trained on Kinetics
Convolutional neural network model for video classification
...The project provides TensorFlow and Sonnet-based implementations, pretrained checkpoints, and example scripts for evaluating or fine-tuning models. It also offers sample data, including preprocessed video frames and optical flow arrays, to demonstrate how to run inference and visualize outputs. -
18
vid2vid
Pytorch implementation of our method for high-resolution
vid2vid is a deep learning framework for high-resolution video-to-video translation that generates photorealistic videos from structured inputs such as semantic maps, pose sequences, or edge maps. Built on top of image-to-image translation techniques like pix2pixHD, it extends these ideas into the temporal domain by ensuring consistency across video frames. The system can synthesize complex outputs such as realistic talking faces, human motion animations, or dynamic street scenes by learning temporal relationships between frames. -
19
GIF for CLI
Takes in a GIF, short video, or a query to the Tenor GIF API
gif-for-cli is a small, playful utility that brings animated GIFs to the command line by rendering frames directly in a terminal. It takes an input GIF (or a URL) and converts each frame into a terminal-friendly representation, timing updates to approximate the original animation. Depending on terminal capabilities, it can use ANSI color blocks or image protocols to achieve surprisingly faithful playback. The tool includes conveniences such as looping control, scaling to fit your terminal,... -
20
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. ... -
21
DetectAndTrack
The implementation of an algorithm presented in the CVPR18 paper
DetectAndTrack is the reference implementation for the CVPR 2018 paper “Detect-and-Track: Efficient Pose Estimation in Videos,” focusing on human keypoint detection and tracking across video frames. The system combines per-frame pose detection with a tracking mechanism to maintain identities over time, enabling efficient multi-person pose estimation in video. Code and instructions are organized to replicate paper results and to serve as a starting point for researchers working on pose in video. Although the repo has been archived and is now read-only, its issue tracker and artifacts remain useful for understanding implementation details and experimental settings. ... -
22
Whammy
A real time javascript webm encoder based on a canvas hack
Whammy is a lightweight JavaScript encoder for generating WebM video directly in the browser. It exploits the relationship between WebP image frames and the VP8 codec used by WebM. Developers can add canvas elements, canvas contexts, or encoded image data as individual video frames. Frame rate can be defined globally, while individual frame durations can also be specified. Encoding happens when the collected frames are compiled, producing a Blob that can be displayed or saved as WebM content. ... -
23
Five video classification methods
Code that accompanies my blog post outlining five video classification
...This reduces model complexity, training time, and a whole whack load of hyperparameters we don’t have to worry about. Every video will be subsampled down to 40 frames. So a 41-frame video and a 500-frame video will both be reduced to 40 frames, with the 500-frame video essentially being fast-forwarded. We won’t do much preprocessing. A common preprocessing step for video classification is subtracting the mean, but we’ll keep the frames pretty raw from start to finish. -
24
SGA Conversion and Analysis Tool
Convert SGA format multimedia files to PNG and AVI format
This program is a utility for viewing, analyzing, and converting the data in SGA format multimedia files used by Digital Pictures in their games for the Sega Mega CD, Sega Super 32X, Sega Saturn, 3DO video game systems, and Windows PCs into formats that can be read by media player software on modern PCs. -
25
OSMF HLS Plugin
OSMF HLS Plugin
The OSMF HLS Plugin is a plugin extension for OSMF (Open Source Media Framework) version 2.0 that enables playback of Apple’s HTTP Live Streaming (HLS) streams within Flash/OSMF-based video players. It supports various use cases (live, video-on-demand, DVR style) and handles HLS protocol tags, bitrate switching, discontinuities, etc., to allow AS3/Flash / AIR apps/players to use HLS as a streaming protocol. HLS playback in OSMF 2.0-based video players. Multi-bitrate streaming. VOD/Live/DVR...
