Search Results for "matlab project for image processing with source code" - Page 3
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Showing 64 open source projects for "matlab project for image processing with source code"
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ChIP-RNA-seqPRO
ChIP-RNA-sequencing-processing (ChIP-RNA-seqPRO)
ChIP-RNA-seqPRO: A strategy for identifying regions of epigenetic deregulation associated with aberrant transcript splicing and RNA-editing sites. Runnable python scripts packaged together with customized annotation libraries, demo data input and README guide. 9/26 : v1.1 Updated MAIN_IV to debug error thrown by python pandas no longer supporting 'subset'. This code will no longer be actively maintained/updated here. A cloud-based resource for comparative analysis of epigenetic, sequence... -
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Vegastrike evolved
evolution for vegastrike SpaceSim/Combat/Trade game
Vegastrike is an old open source game , cool but unfinished . And while there is still a community , the project is in orbit in a kinda space cimetery . The game can run under Windows,Linux ,Mac . BUT : It is complicated to work with the original SVN repositery , while the admins aren't reactive . So i decided to create that hub , with a trunk based upon the 0.5.1rc1 of Vegastrike . Let's Vegastrike be evolved , with new goals : _Dynamic Market system , better AI , mission... -
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Gimp Gradient Extrapolate
fill a selection according to neighboring gradient area
Gimp Gradient Extrapolate is a plugin for Gimp 2.8. It fills gaps or removes objects, both of which are surrounded by a gradient like smooth image structure (e.g. sky). Refer to the wiki to see how to use it. Note, since this plug-in is written in python and involves optimization problems and non-filter operations, this script's runtime can be rather long, depending on the size of your image selection. Consider donating to this project: https://sourceforge.net/projects/gimp-g-e... -
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SPADE
A toolkit for developing and deploying protein structure algorithms.
The Structural Proteomics Application Development Environment is a Python tool kit for developing and deploying bioinformatics applications. Handles graphics, analysis, and modeling of protein sequence and structure. Source and Win installers available. SPADE source code can be cloned from http://www.github.com/deaconjs/SPADE. -
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Scientific data elaborator
The data elaborator is a new project to manage scientific data
This program can make histograms, table and graphics of datas, study the error propagation during a measure, it is usefull if you have to do study errors propagations. The output are latex files, so it is easy for you just put them into your relations. -
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pymatlab
A pythonic interface to MATLAB
This package lets Python users interface and communicate with MATLAB from Python. Pymatlab makes it easier for users to integrate a project with a large MATLAB codebase into python scripts by using MATLAB scripts as a part of the python program. The basic functionality of this package is to send data from Python to MATLAB's workspace to be able to run Matlab function on the data. After processing you retrieve back data to python... -
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diwacs
Diwa is a project collaboration tool.
Diwa is a software ment to simplify sharing rich media and files that are important for the project between team members in the same room. It offers simple solutions for example exporting urls and files to another PC via drag and drop and the files are stored in "Project Folder" and there can be database entry for it as well. Diwa also supports remote controlling another PC running the DiWaCS software and creating events which save screenshots from all the computers and optionally a image... -
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Open Source Particle Image Velocimetry
Open Source Particle Image Velocimetry and PIV Analysis
OpenPIV is an initiative of scientists to develop a software, algorithms and methods for the state-of-the-art experimental tool of Particle Image Velocimetry (PIV) which are free, open source, and easy to operate. -
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This project provides a fast distributed system for image processing, written in Python. It aim is to be used as service to PHP, Perl and Python application servers.
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GLEWpy aims to bring advanced OpenGL extensions to Python. This allows the Python OpenGL developer to use features such as fragment/vertex shaders and image processing on the GPU. It serves as a compliment to PyOpenGL and toolkits such as GLUT and SDL.
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The converter performs automatically the full process of converting the files of a C project into the equivalent C++ files. Classes are created, var and functions becomes attributes and methods and the changes are propagated into all files.
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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
..., and provide functions for reading and writing data to such files. 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. -
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Monk Computer Vision
A low code unified framework for computer vision and deep learning
Monk is an open source low code programming environment to reduce the cognitive load faced by entry level programmers while catering to the needs of Expert Deep Learning engineers. There are three libraries in this opensource set. - Monk Classiciation- https://monkai.org. A Unified wrapper over major deep learning frameworks. Our core focus area is at the intersection of Computer Vision and Deep Learning algorithms. - Monk Object Detection - https://github.com/Tessellate-Imaging...
