Open Source Mac Realtime Processing Software
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Realtime Processing Software for Mac
View 58 business solutionsBrowse free open source Realtime Processing software and projects for Mac below. Use the toggles on the left to filter open source Realtime Processing software by OS, license, language, programming language, and project status.
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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! https://docs.opencv.org/master Books about the OpenCV are described here: https://opencv.org/books.html -
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A comprehensive software suite for reading barcodes. Supports EAN/UPC, Code 128, Code 39, Interleaved 2 of 5 and QR Code. Includes libraries and applications for decoding captured barcode images and using a video device (eg, webcam) as a barcode scanner.
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MeshLab
The open source mesh processing system
MeshLab is an open-source, portable, and extensible system for the processing and editing of unstructured large 3D triangular meshes. It is aimed to help the processing of the typical not-so-small unstructured models arising in 3D scanning, providing a set of tools for editing, cleaning, healing, inspecting, rendering and converting this kind of meshes. MeshLab is mostly based on the open source C++ mesh processing library VCGlib developed at the Visual Computing Lab of ISTI - CNR. VCG can be used as a stand-alone large-scale automated mesh processing pipeline, while MeshLab makes it easy to experiment with its algorithms interactively. The open source system for processing and editing 3D triangular meshes. It provides a set of tools for editing, cleaning, healing, inspecting, rendering, texturing and converting meshes. It offers features for processing raw data produced by 3D digitization tools/devices and for preparing models for 3D printing. -
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GLMixer
Graphic Live Mixer
GLMixer performs real time graphical blending of several movie clips and of computer generated graphics. Drop video files in the mixing workspace and place them in a circular area to change their opacity ; if you selects two videos, moving them together performs a fading transition. This principle generalizes to a large number of videos. Direct interaction with the video allows to be fast and reactive, and to move and deform them on screen. The output of your operations is shown in the output window, typically displayed in full-screen on an external monitor or a projector. But the output can also be saved as a video file. Control GLMixer through network using OpenSoundControl, and generate graphics with ShaderToy GLSL code. Download : https://sourceforge.net/projects/glmixer/files/ Please note GLMixer is discontinued and superseded by vimix https://brunoherbelin.github.io/vimix/ -
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OpenFace
A state-of-the-art facial behavior analysis toolkit
OpenFace is an advanced facial behavior analysis toolkit intended for computer vision and machine learning researchers, those in the affective computing community, and those who are simply interested in creating interactive applications based on facial behavior analysis. The OpenFace toolkit is capable of performing several complex facial analysis tasks, including facial landmark detection, eye-gaze estimation, head pose estimation and facial action unit recognition. OpenFace is able to deliver state-of-the-art results in all of these mentioned tasks. OpenFace is available for Windows, Ubuntu and macOS installations. It is capable of real-time performance and does not need to run on any specialist hardware, a simple webcam will suffice. -
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reacTIVision is a computer vision framework for the fast and robust tracking of markers attached on physical objects, and the creation of multi-touch surfaces. It was designed for the rapid development of table-based tangible user interfaces.
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Bayesian Optimization
Python implementation of global optimization with gaussian processes
This is a constrained global optimization package built upon bayesian inference and gaussian process, that attempts to find the maximum value of an unknown function in as few iterations as possible. This technique is particularly suited for optimization of high cost functions, situations where the balance between exploration and exploitation is important. More detailed information, other advanced features, and tips on usage/implementation can be found in the examples folder. Follow the basic tour notebook to learn how to use the package's most important features. Take a look at the advanced tour notebook to learn how to make the package more flexible, how to deal with categorical parameters, how to use observers, and more. Explore the options exemplifying the balance between exploration and exploitation and how to control it. Explore the domain reduction notebook to learn more about how search can be sped up by dynamically changing parameters' bounds. -
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Actionhero
Actionhero is a realtime multi-transport nodejs API server
The reusable, scalable, and Quick node.js API server for stateless and stateful applications. No matter what you are building, Actionhero is here to save the day. The action hero framework is one of the fastest ways to get started with a REST API - Routes, Versions, Testing, and Translation tool are all included. Actionhero's small footprint and stateful server options make it ideal for IOT applications whereas much logic as possible is offloaded to the server. Actionhero includes all the modern tools you need for highly available real-time applications. Actionhero can work in a cluster to handle all the clients you can throw at it. Actionhero was built to serve the same APIs across multiple protocols. Do your games speak both HTTP and Websockets? Actionhero has got you covered. Actionhero was built from the ground up to include all the features you expect from a modern API framework. -
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MplayerXP is branch of well known mplayer (http://mplayerhq.hu) which is based on new (thread based) core. Main goal of this project is to achieve smoothness of video playback due monotonous CPU loading.
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Snowmix
Video mixer for mixing live and recorded video and audio feeds
New version 0.5.1.1 Released July 2020. Snowmix is a Swiss army knife tool for mixing live and recorded video and audio feeds. It supports 2D and 3D clipping, scaling and transparent overlay of video, png graphics and text. It supports animation of video, images and texts through native commands changing scale, placement, transparency and rotation. Animation and actions can also be controlled through native scripting and an embedded Tcl interpreter. Snowmix is designed for control over low bandwidth links and can work as a standalone CLI based program. Control over both CLI and a TCP connections. Input and outputs can be done through GStreamer pipelines or the GStreamer shmsrc/shmsink API. Supported for Ubuntu, Mint, Debian, CentOS, Fedora, Chakra, Mageia, Manjaro,, OpenSUSE and macOS/OS X is supported. Free support in the discussion forum. See Snowmix in action on Youtube http://www.youtube.com/user/Snowmix4video -
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GPUImage 2
Framework for GPU-accelerated video and image processing
GPUImage 2 is the second generation of the GPUImage framework, an open source project for performing GPU-accelerated image and video processing on Mac, iOS, and now Linux. The original GPUImage framework was written in Objective-C and targeted Mac and iOS, but this latest version is written entirely in Swift and can also target Linux and future platforms that support Swift code. The objective of the framework is to make it as easy as possible to set up and perform realtime video processing or machine vision against image or video sources. By relying on the GPU to run these operations, performance improvements of 100X or more over CPU-bound code can be realized. This is particularly noticeable in mobile or embedded devices. On an iPhone 4S, this framework can easily process 1080p video at over 60 FPS. On a Raspberry Pi 3, it can perform Sobel edge detection on live 720p video at over 20 FPS. -
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Marvin is an image processing framework that provides features for image and video frame manipulation, multithreading image processing, image filtering and analysis, unit testing, performance analysis and addition of new features via plug-in.
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Music + Video + Animation Maker & App
Why Music + Video + Animation Maker & App is Fun?
Javaimagephp All-in-one video/film editor or maker makes sense as simple to use app for video/film or movie editing and animations/slideshows. It gets most of your imagination of an All-in-one video/film Animation editor / maker App. Video editing is made intuitive and simple. Lots of Special Effects ( > 55) ! For example this one http://ogena.ridoua.nu Formats supported are mp4, avi, flv, mov, flv and more. Description given image animation which seeks audio given a description. Visualization (Slideshow / Animation) of Streams (Radio: asx, pls, m3u etc.) and News Feeds (RSS, XML) This Program is protected by 1st abstract & reg. International and root sec. laws as is comes free of use like that. Give your answers alike vaks@ccwf[.]cc[.]utexas[.]edu about Ani Magix or issue your activation phase of performer@df(.)lth.s(e) -
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Tapeless video and audio ingest and transcoding server for television studios and professional environments. Uncompressed SD or HDTV, is captured and real-time encoded into MXF wrapped online & offline editing and review formats e.g. DV50, JPEG 2:1,
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Soul Fresh FreeFrame Plugins for FreeFrame compatible hosts. For more information about Soul Fresh, see http://www.soul-fresh.com.
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Scene is a computer vision framework that performs background subtraction and object tracking, using two traditional algorithms and three more recent algorithms based on neural networks and fuzzy classification rules. For each detected object, Scene sends TUIO messages to one or several client applications. The present release features GPU accelerated versions of all the background subtraction methods and morphological post processing of the object blobs with dilation and erosion filters, implemented in OpenCL. The framework was mainly designed as a toolkit for the rapid development of interactive art projects that explore dynamics of complex environments. The Scene GUI runs and compiles under Windows, Linux, and MacOS X, and is available in both 32 bit and 64 bit versions.
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KinectA
Software for motion tracking (skeletons, objects, hands) via Kinect!
KinectA is an application for motion tracking via Kinect Sensor – including hand, skeleton and object tracking. This software has been developed for the needs of media artists and designers. It provides a clearly arranged interface with multiple functionalities. The tracked information can be send via OSC to other hard- and software. KinectA is available for Mac and Windows. -
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PixelController
LED Matrix controller software
PixelController – a matrix control project by Michael Vogt , (c) 2010-2013. The main goal of this application is to create an easy to use matrix controller software which creates stunning visuals! Keywords: Arduino, Teensy, OSC, MIDI, PureData, Visuals, RealTime -
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The goal of this project is to create a fast generator of a volumetric fire animation. The generator uses a short precomputed sequence to produce an endless animation. Packages real-time-fire2.0 and higher contain additionally a heat haze.
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ANDIAMO (ANimador DIgital Analógico MOdular = Digital-Analog Modular Animator) is a customized software tool for live audiovisual performance. It's main goal is to integrate video (live and pre-recorded) with hand drawing (entered via a graphics tablet)
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ANNGD
Artificial neural network gender detection
ANNGD is a artificial neural network gender detection application. The detection is made in real time images captured by webcam by opencv library. The package include applications to image pre-processing and artificial neural network back-propagation training. -
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ArCoLIVE provides a set of open source component-based toolkit for multimedia applications such as chat room, Peer-to-Peer (P2P) conversation, virtual white-board, audio/video conferencing, control connection containers, screen capture and file sharing.
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BayesianCortex
simple algorithm for a realtime interactive visual cortex for painting
A paint program where the canvas is the visual cortex of a simple kind of artificial intelligence. You paint with the mouse into its dreams and it responds by changing what you painted gradually. There will also be an API for using it with other programs as a general high-dimensional space. Each pixel's brightness is its own dimension. Bayesian nodes have exactly 3 childs because that is all thats needed to do NAND in a fuzzy way as Bayes' Rule which is NAND at certain extremes. NAND can be used to create any logical system. In this early version, I'm still working on edge detection and its understanding of the same shapes at different brightnesses. This will be a module of the bigger Human AI Net project and will be used for adding realtime intuitive high dimensional intelligence in audio and visual interactions with the user. -
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Black Hole Cortex
Sphere surface layers of visual cortex approach maximum info density
Near the surface (even horizon) of a black hole, there is maximum information density in units of squared plancks (and some translation to qubits). Similarly, our imagination is the set of all possible things we can draw onto our most dense layer of visual cortex in electricity patterns. Bigger layers have more neurons to handle those possibilities. A Black Hole Cortex is a kind of visual cortex that has density of neuron layers similar to density at various radius from a black hole. What we think our eyes see, the imagination, is the densest and smallest layer. SphereSurfaces outside it recursively have more neurons, more surface area, but less density since it has to eventually dimension-reduce to high level ideas, like there are 10000 Wikipedia page names that cover most parts of the world. We can think of Wikipedia as a layer above our brains, a global SphereSurface of large surface area (a cortex layered on billions of minds) and small (10000 most important pages) density.
