Search Results for "linux image"
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Showing 19 open source projects for "linux image"
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BoofCV
BoofCV is an open source Java library for real-time computer vision.
BoofCV is an open source Java library for real-time computer vision and robotics applications. Written from scratch for ease of use and high performance, it provides both basic and advanced features needed for creating a computer vision system. Functionality include optimized low level image processing routines (e.g. convolution, interpolation, gradient) to high level functionality such as image stabilization. Released under an Apache 2.0 license for both academic and commercial use. -
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OSDLab
Open Source Digital Laboratory
Open Source Digital Laboratory compatible with Arduino project. This software consists from C++/Qt programs such as dotScope (https://dotscope.sourceforge.io) - is a scientific shell for live experiment, dlCAM (https://dlcam.sourceforge.io) - computer aided manufacture for Arduino and others projects, img-map (https://img-map.sourceforge.io) - image digitaizer. -
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2D Statistical Models. Building: shape model, texture model and concatenated appearance model; Fitting: 1D profile ASM, 2D profile ASM, direct local texture constrained(LTC) ASM, basic AAM, ICIA AAM, IAIA AAM, etc.
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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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Free operating system for biorobots. If you biorobot, you can download an installation image of our OS is directly from here...
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Drone WayPointer
A ROS package to remotely control the Parrot AR Drone 2.0
"Drone WayPointer" is a ROS package that provides a UI to allow for remote control of the Parrot AR Drone 2.0. It is developed in C++ with qt-ros and the Qt4 Development FrameWork. It is designed to work with the ROS - Fuerte and it uses the the ardrone_autonomy driver (Fuerte-devel Branch). It has so far only been tested on the tum_simulator and not on the actual drone. The main functionalities it provides is camera streams of front or bottom cameras of the drone, button and slider control... -
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Door Detection
Interesting region extraction for door detection.
This project improves the door detection accuracy by extracting the interesting region from an input image. Thus, omitting the irrelevant region of the image. This project runs on ROS. -
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NN Image Recognition (with source-code)
This is ANN trained application to predict digits from 0 - 9.
It can predict digits from 0-9 with Artificial Neural Network. I trained ANN with 100 samples of each digit. It takes input of 20x20 pixel image and predicts it with Neural Network. It may predict wrong digit due to very low sample data but it work 90% correctly. Note: JRE 1.6 is required to run this application. -
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QVision: Computer Vision Library for Qt
Computer vision and image processing library for Qt.
This library contains among other things a set of graphical widgets for video output, performance evaluation and augmented reality. The library also provides classes for several data types usually required by computer vision and image processing applications such as vectors, matrices, quaternions and images. Thanks to a large number of wrapper functions these objects can be used with highly efficient functionality from third party libraries such as OpenCV, GNU Scientific Library,... -
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PyRoboSim2D
Python+Pygame robot simulator 2D
2D robotic simulator in Python 2.x, tested in 2.6 and 2.7, under Win7(64) and Ubuntu 10.04 (Lucid). Needs the matching version of Pygame installed! (www.pygame.org) Download the .py file and two .bmp files: -->back2_800_600 for background -->any of the robo1.bmp through robo4.bmp for robot image (different colors). The map of the "room" can be changed by modifying the list of obstacles. Read more in ReadMe.txt and in the .py file comments. -
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Fulguro is an optimized 2D library for image processing with Mathematical Morphology and Linear processing
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A small camera server providing web access to cameras connected to the computer. Special interest in this project is to have little to no external dependencies (no socket libs, no threading libs - at most, maybe camera drivers).
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An implementation of Bruhn et al.'s fast variational optical flow algorithm using the OpenCV image processing library. The code calculates dense flow fields with a user-specified level of precision.
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A cross-platform library that computes fast and accurate SIFT image features. libsiftfast provides Octave/Matlab scripts, a command line interface, and a python interface (siftfastpy). Optimized with SIMD instructions and OpenMP .
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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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Qiew is a minimalistic and portable VRML/Inventor Viewer targeting Linux, Windows and Mac OS X computers.
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The free-vision project aims at creating a library for computer vision related functions, including camera capture interface, stereo, image processing, camera calibration and so on.
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A collection of Matlab functions and scripts for computing the saliency map for an image, for determining the extent of a proto-object, and for serially scanning the image with the focus of attention.
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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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