Search Results for "video frames"
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Showing 15 open source projects for "video frames"
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h265web.js
A HEVC/H.265 Web Player
...The project includes components for parsing H.265 bitstreams into NAL units and decoding them into raw YUV frames that can then be rendered onto a canvas or processed further. Its architecture separates parsing, decoding, and rendering, giving developers fine-grained control over how video data is handled and displayed. The system is designed to work with streaming data, allowing incremental feeding of video chunks and real-time decoding, which is useful for surveillance, streaming platforms, and custom media pipelines. -
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Scrcpy GUI
A simple & beautiful GUI application for scrcpy
...Scrcpy works by running a server on your Android device, and the desktop application communicates using USB (or using ADB tunneling wireless). The server streams the H.264 video of the device screen. The client decodes the video frames and displays them. The client captures input (keyboard and mouse) events, sends them to the server, and the server injects them into the device. If you want to see your Android screen interact with the app or content on your desktop, record your phone screen or perform other basic tasks, then Scrcpy is a good choice. ... -
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trackers
Multi-object tracking algorithms
trackers is a plug-and-play multi-object tracking library designed to work with virtually any object detection model, enabling developers to follow objects across video frames with minimal setup. The library provides clean, modular implementations of leading tracking algorithms and can be used either from the command line or embedded directly into Python pipelines. It supports inputs such as videos, webcams, RTSP streams, or image directories and produces annotated tracking outputs that include labels and trajectories. ... -
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Zoo Design Studio
The Zoo Design Studio app
...Users can interact with the system through a familiar point-and-click interface, but every action is translated into code in the underlying modeling language, ensuring consistency between visual and programmatic representations. The application is powered by a GPU-first geometry engine that streams rendered output as video frames, enabling high-performance modeling even when heavy computation is offloaded to remote infrastructure. It uses WebSockets for real-time communication between the client and the modeling engine, allowing immediate feedback and interactive design updates. -
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5
UCO3D
Uncommon Objects in 3D dataset
uCO3D is a large-scale 3D vision dataset and toolkit centered on turn-table videos of everyday objects drawn from the LVIS taxonomy. It provides about 170,000 full videos per object instance rather than still frames, along with per-video annotations including object masks, calibrated camera poses, and multiple flavors of point clouds. Each sequence also ships with a precomputed 3D Gaussian Splat reconstruction, enabling fast, differentiable rendering workflows and modern implicit/point-based modeling experiments. The repository includes automated downloaders with checksum verification, fine-grained controls to fetch only selected modalities or super-categories, and a lightweight Python API for loading frames, geometry, and splats on demand. ... -
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Kisekae UltraKiss
Kisekae UltraKiss is a full featured integrated development environmen
UltraKiss is a computer program that implements the Kisekae Set system, KiSS, a Japanese graphics system originally developed to facilitate costume changes on virtual dolls. UltraKiss was developed to help artists build their KiSS sets. It is a full featured viewer for all KiSS dolls, games, and visual applications. It is also a complete graphical development environment for creating KiSS applications. It fully implements the FKiSS event driven programming language up to and including... -
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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. ... -
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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
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. -
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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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. -
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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. -
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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. ... -
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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... -
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SSBRenderer
Renderer for subtitle format SSB.
SSBRenderer is a plugin for frameservers on Windows & Unix platforms to render 2D graphics by SSB (Substation Beta) data on frames of video streams. -
15
A library and basic executable wrapper for the render of three-dimensional scenes, specially designed for video frames production.
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