Search Results for "image processing in java"
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Showing 19 open source projects for "image processing in java"
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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!... -
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Snowmix
Video mixer for mixing live and recorded video and audio feeds
New version 0.5.2 Released November 2025. 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 and/or Python interpreter. Snowmix is designed for... -
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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... -
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Simd
High performance image processing library in C++
The Simd Library is a free open source image processing library, designed for C and C++ programmers. It provides many useful high performance algorithms for image processing such as: pixel format conversion, image scaling and filtration, extraction of statistic information from images, motion detection, object detection (HAAR and LBP classifier cascades) and classification, neural network. -
Total Network Visibility for Network Engineers and IT ManagersThis means every device on your network, and every interface on every device is automatically analyzed for performance, errors, QoS, and configuration.
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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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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,...
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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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Fully automated segmentation of moving objects from a stationary scene using pre-stored scene images. Needs no external parameters or settings; all parameters are derived internally from the pre-stored images. Implemented using OpenCV framework.
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The open source, multimodal interactive "Sensitive Artificial Listener" dialogue system created by the EU project SEMAINE.
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HornetsEye Ruby Computer Vision Library
Ruby computer vision library
Video processing and computer vision library for GNU/Linux offering interfaces to do image- and video-I/O with ImageMagick/Magick++, Xine, firewire digital camera (DC1394), and video for linux (V4L2). Note that this version of HornetsEye is deprecated. HornetsEye now is released as multiple packages on RubyGems.org. The source code is available on Github.com (see https://wedesoft.github.io/hornetseye-doc/ for more information). -
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Money$hot (M$) is a realtime video special effects/switcher program for people with more than one webcam. M$ uses DirectShow on WinXP/Vista as a compositing engine. M$ can capture, composite, transform (using FreeFrame, etc.), and stream.
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This project provides realtime implementations of popular HDR tone mapping operators on GeForce 8800 GPUs using the CUDA programming environment.
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Wechselspieler is an interactive motion tracking tool to transform movement information coming from a file or video into sound in realtime using the MIDI or OSC protocol. It features an easy to use GUI for defining/editing the image trigger regions.
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RoboRealm Extensions are plugins to the RoboRealm application that allow you to extend RoboRealm in whatever way you need. RoboRealm is a powerful computer vision based application for use in machine vision, image analysis, and image processing systems.
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Image-In is a C++ based image processing and analysis application. It works on images, videos and cameras. Target is to help you to develop and test new algorithms via add-ons. Chains of filters can be arranged to achieve intelligent systems.
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RealTime Vision System for Linux using Video4Linux Api, the Qt3.x libraries for the interface and the Vislib (ActiveMedia libraries) for image processing
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Xuggler -- Decode, encode and experience audio and video from Java. See: http://www.xuggle.com/xuggler
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KinectStreamer
Streams data from 3D cameras over a network.
This is an application that streams data from the Microsoft Kinect or cameras like it over a network. The program is Intended to be used in robotics applications where the controller cannot use such cameras directly due to hardware/software limitations--such as lacking usb ports or appropriate drivers--or in situations where the camera is not in close proximity to the device that needs to access it. Given that the controller can accept data from over the network, another embedded controller...
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