itkwidgets | Interactive Jupyter widgets to visualize images | Data Visualization library

by InsightSoftwareConsortium Python Version: 1.0a9 License: Apache-2.0

X-Ray Key Features Code Snippets(3)Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | itkwidgets Summary

itkwidgets is a Python library typically used in Analytics, Data Visualization, Jupyter applications. itkwidgets has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However itkwidgets build file is not available. You can install using 'npm i itkwidgets' or download it from GitHub, npm.

Interactive Jupyter widgets to visualize images, point sets, and meshes in 2D and 3D

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Quality

Security

License

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Support

itkwidgets has a low active ecosystem.

It has 533 star(s) with 79 fork(s). There are 27 watchers for this library.

There were 5 major release(s) in the last 12 months.

There are 110 open issues and 143 have been closed. On average issues are closed in 25 days. There are 5 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of itkwidgets is 1.0a9

Quality

itkwidgets has 0 bugs and 0 code smells.

Security

itkwidgets has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

itkwidgets code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

itkwidgets is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

itkwidgets releases are available to install and integrate.

Deployable package is available in npm.

itkwidgets has no build file. You will be need to create the build yourself to build the component from source.

It has 3034 lines of code, 99 functions and 26 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed itkwidgets and discovered the below as its top functions. This is intended to give you an instant insight into itkwidgets implemented functionality, and help decide if they suit your requirements.

Initialize the initial renderer
Get input data
Create a multiscale store
Get viewer image
Detect render type
Return a list of point_sets
Convert vtkImage to Numpy array
Set the image
Queue a RPC request
List of deferred methods
Start the UI
Update the screenshot
Set default UI values
Queues the queued requests
Run the queued requests
Try to find the environment
Set the label image
Register codecs

Get all kandi verified functions for this library.

itkwidgets Key Features

No Key Features are available at this moment for itkwidgets.

itkwidgets Examples and Code Snippets

3D visualization of .dicom files with ipyvolume

Python

Lines of Code : 13

License : Strong Copyleft (CC BY-SA 4.0)

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import SimpleITK as sitk
import itkwidgets

# Get the DICOM file names in the current directory
names = sitk.ImageSeriesReader.GetGDCMSeriesFileNames('.')

# Read the DICOM series
reader = sitk.ImageSeriesReader()
reader.SetFileNames(names

How to link a Jupyter Slider-Widget to a VTK object in live view

Python

Lines of Code : 18

License : Strong Copyleft (CC BY-SA 4.0)

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import ipywidgets as widgets
from jp_doodle import dual_canvas
from IPython.display import display

# create a triangle diagram
swatch = dual_canvas.swatch(pixels=200)
points = [[-1,-1], [0,1], [1, -1]]
triangle = swatch.polygon(points, co

How to do histogram equalization to DICOM images read with SimpleITK

Python

Lines of Code : 26

License : Strong Copyleft (CC BY-SA 4.0)

Copy

new_images = sitk.AdaptiveHistogramEqualization(images)

new_images = []
for z in range(images.GetDepth()):
    new_images.append(sitk.AdaptiveHistogramEqualization(images[:,:,z])

import Sim

Community Discussions

Trending Discussions on itkwidgets

Histogram equalization with SimpleITK

QUESTION

Histogram equalization with SimpleITK

Asked 2020-Jan-29 at 19:04

On this SO answer suggest me this code:

...

ANSWER

Answered 2020-Jan-29 at 19:04

It's a bit of a work-around to achieve histogram equalization through histogram matching.

'himg' is a ramp image, so the intensities go from 0 to 255. It has all intensities equally represented, so it's histogram is flat.

So we're matching your image's histogram with a flat histogram. The net result is histogram equalization.

Source https://stackoverflow.com/questions/59969339

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install itkwidgets

You can install using 'npm i itkwidgets' or download it from GitHub, npm.
You can use itkwidgets like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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