Showing 15 open source projects for "google-visualization-python"

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  • 1
    Octave Forge

    Octave Forge

    A collection of packages providing extra functionality for GNU Octave

    ...It provides capabilities for the numerical solution of linear and nonlinear problems, and for performing other numerical experiments. It also provides extensive graphics capabilities for data visualization and manipulation. Octave is normally used through its interactive command line interface, but it can also be used to write non-interactive programs. The Octave language is quite similar to Matlab so that most programs are easily portable. Refer to https://www.octave.org for more information.
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    Downloads: 1,567 This Week
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  • 2
    ReViMS

    ReViMS

    ReViMS, a 3D volume rendering tool for light-sheet/confocal microscopy

    Reconstruction and Visualization from Multiple Sections (ReViMS), an open-source, user-friendly software for automatically estimating volume and several other features of 3D multicellular aggregates (i.e., cancer spheroid, zebrafish, fruit fly). ReViMS requires a z-stack of 2D binary masks, obtained by segmenting a sequence of fluorescent images acquired by scanning the aggregate along the z axis, using a confocal or a light-sheet fluorescent microscope.
    Downloads: 0 This Week
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  • 3
    ReViSP

    ReViSP

    ReViSP, a 3D volume rendering MATLAB tool for multicellular spheroids

    Reconstruction and Visualization from a Single Projection (ReViSP) tool: a 3D volume rendering method we developed to reconstruct the 3D shape of multicellular spheroids, besides estimating the volume by counting the voxels (3D pixels) fully included in the 3D surface. ReViSP is written in MATLAB (The MathWorks, Inc., Massachusetts, USA) and the source code is freely provided.
    Downloads: 13 This Week
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  • 4
    TracTrac

    TracTrac

    Massive Object Tracking Software (Matlab/Python)

    TracTrac is a Particle Tracking Velocimetry (PTV) software which is extremely fast (more than 10k points tracked per second, 100k under python) and accurate (up to 0.01 pixel resolution), forming thus a good concurrent to the state-of-the art PIV/PTV algorithms. It allows to track anything that moves: birds, ants, grains, water flows... It runs on Python (v2&3) or Matlab (>2012a with Image Processing toolbox). Give it a try ! Get the last sources on GitHub: https://github.com/jorishey1234/tractrac
    Downloads: 0 This Week
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    MORPHE

    MORPHE

    MORphological PHenotype Extraction

    MORphological PHenotype Extraction (MORPHE) is a suite of automated image processing, visualization, and classification algorithms to facilitate the analysis of heritable and clonal red-to-green transitions that occurred during the growth of a colony.
    Downloads: 1 This Week
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  • 6

    flow visualization toolbox

    matlab 2D image processing GUI toolbox for flow visualization

    A general flow visualization Matlab toolbox for image processing of some common planar/surface visualization techniques from PLIF (Planar laser induce fluorescence) for tracer distribution, BOS (background oriented Schlieren) for density, TSLC (Temperature sensitive liquid crystal) for thermal and PSP (Pressure sensitive paint) pressure distribution measurement.
    Downloads: 0 This Week
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  • 7
    mVision library is a set of functions related with computer vision programmed in Matlab. Also include a couple of GUIs for test visually the functions.
    Downloads: 0 This Week
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  • 8
    LAVA for AFM

    LAVA for AFM

    Lloyd's Algorithm-based Volumetric Analysis for AFM Images

    This MATLAB-based program enables analysis of AFM images. In particular, it allows the user to measure the volume of all distinguishable features in an image and to isolate and sort those particles. As the name implies, LAVA uses Lloyd's Algorithm, also known as k-means sorting, to identify a small set of volumes representative of the actual distribution of particle in the image. Although developed for determining feature volume, LAVA is also completely compatible with other types of...
    Downloads: 0 This Week
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  • 9
    Malimpa stands for MAtlab Library for IMage Processing and Analysis. It provides functions for 2D/3D grascale/color image creation, filtering, or measurement. It requires, and complements Matlab Image Processing Toolbox. Important notice: the project is now hosted in GitHub, https://github.com/dlegland/matImage
    Downloads: 0 This Week
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  • 10
    SmoothLife

    SmoothLife

    A generalization of Conway's Game of Life

    Conway's Game of Life is generalized to a continuous domain. OpenGL and GLSL shaders are used for real-time 2D and 3D graphics. Time stepping is done via a real to complex FFT based convolution operation. There are also two deliberately simple test implementations in FreeBasic and Matlab. A 2D version on a sphere shows that it is really not dependent on the underlying grid.
    Downloads: 1 This Week
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  • 11
    Dynamic Visualization Tool
    This application allows to generate graphics from data file in table format and a graphical configuration file XML..
    Downloads: 0 This Week
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  • 12
    Overhead Imagery Research Data Set (OIRDS) - an annotated data library & tools to aid in the development of computer vision algorithms
    Downloads: 14 This Week
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  • 13
    ifscat is an Interactive Feature Selection and Classification Tool for image processing and segmentation.
    Downloads: 0 This Week
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  • 14
    im-browser

    im-browser

    MIB is a high-performance software package for image segmentation

    Microscopy Image Browser (MIB) is a high-performance software package for advanced image processing, segmentation and visualization of multi-dimensional (2D-4D) light and electron microscopy datasets. Home page: http://mib.helsinki.fi
    Downloads: 0 This Week
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  • 15

    golib

    C++ collection mostly for image processing

    ...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. If you find anything spectacularly wrong or badly documented, and need assistance, please drop me a line.
    Downloads: 0 This Week
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