Search Results for "libamd.so.1" - Page 2
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Showing 47 open source projects for "libamd.so.1"
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Library for embedded real-time Digital Signal Processing / Digital Image Processing algorithms, XDAIS compliant.
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JIPL (Java Image Processing Library) is an attempt to provide an efficient way to load, filter, manipulate, and save images. The goal is to provide an intuitive and extensible library.
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MIVF - Medical Imaging and Visualization Factory, is a framework for medical applications. It supplies a platform, in which image processing and 3D visualization algorithms can be employed as reusable components (functional modules or plugins).
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Scilab Wavelet Toolbox, is designed to emulate Matlab Wavelet Toolbox. Combined with Scilab Image processing toolbox on sourceforge, one could do image wavelet processing the way as the Matlab user does.
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XIPL/XASM is a basic environment to build high-level Image Processing operations using a XML-based language. The idea is to compile the high-level XIPL language into a low-level one, XASM (XML-based too), using XSLT technology.
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The mathematical morphology have different applications on Image processing, it represent one processing non lineal sample. We show the CIDEFORM software as result of all mathematical morphology techniques.
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CVSharp (aka Computer Vision in C#) is a Computer Vision project. Until the present day just one part of the whole project was actually developed. It's called CVSharp Lab, an Image Processing Tool.
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FIPS is an image processing software, that allows you to edit your images by using several image filters, like minimum and maximum filter, median filter or filters that try to optimize the contrast.
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Your monitoring isn't a stack. It's a pile. Fix that.Replace Datadog, New Relic, and Sentry without adding three more dashboards.
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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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Yadipe is a collection of utilities for common digital image processing tasks. The main intend is to provide students with an overview of fundamental techniques used in this research field.
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JIF (Java Imaging Framework) aims to provide a rich client platform (plugin framework) for image processing.
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A set of libraries which includes: - Time schedule library - HTTP communication library - Generic parser library - Image processing library
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UnbVision is a object oriented API/GUI written in C/C++ for perform several digital image processing algorithms.
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The Digital Image Processing Library (dimple) is a C++ class/algorithm library for image processing. Dimple consists of a wide range of image processing routines which can be viewed as low- to mid- level vision tasks.
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Prolog Image Processing is a (initially) MacOS based extension to OpenProlog which allows to use image processing function in the context of Prolog.
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Foresight is a LGPLed wrapper that currently brings together the Intel IPL, Intel OpenCV, ImageMagick, and the Matrox MIL. The ultimate goal is to provide a standard interface for any number of acquisition and image processing libraries.
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This project aims to development a universal media codecs for video/audio/image processing. It use same interfaces for all codecs. And it target system is embedded system. The codecs will be include: MPEG2, MPEG4, H264, AAC, VC-1, AVS.
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golib
C++ collection mostly for image processing
libGo is a C++ class library containing all kinds of things that proved useful to me. Included are: - Linear algebra, using LAPACK and CBLAS - V4L(1) image grabber - Multithreading - Image containers (up to 3D) - Some simple optimisation code - Python embedding helper - Matlab interface - .. and other things, have a look at the HTML documentation! golib grew over many years, things I had use for have been added now and then. Some parts are better taken care of than others. ... -
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geoscipy
Python-accessible toolkit for Geoscience & Remote Sensing Applications
...There is also a Python API that provides a procedural as well as an object-oriented interface to these functions. A Python GUI for interacting with such datasets is also part of the project. While there are other open-source GIS, and image-processing packages available, this one is designed to be comprehensive, work on 3 major platforms, user-extensible, fast, and able to handle huge datasets. Click the Blog tab for more info.