gif_your_nifti | How to create fancy GIFs from an MRI brain image | Data Labeling library

by miykael Python Version: 0.2.0 License: BSD-3-Clause

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

kandi X-RAY | gif_your_nifti Summary

gif_your_nifti is a Python library typically used in Artificial Intelligence, Data Labeling applications. gif_your_nifti has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

How to create fancy GIFs from an MRI brain image

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Quality

Security

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Support

gif_your_nifti has a low active ecosystem.

It has 94 star(s) with 25 fork(s). There are 5 watchers for this library.

It had no major release in the last 12 months.

There are 4 open issues and 3 have been closed. On average issues are closed in 0 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of gif_your_nifti is 0.2.0

Quality

gif_your_nifti has 0 bugs and 0 code smells.

Security

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

gif_your_nifti code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

gif_your_nifti is licensed under the BSD-3-Clause License. This license is Permissive.

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

Reuse

gif_your_nifti releases are available to install and integrate.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

gif_your_nifti saves you 70 person hours of effort in developing the same functionality from scratch.

It has 182 lines of code, 10 functions and 6 files.

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

Top functions reviewed by kandi - BETA

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

Create a gif of two NIFTI images
Load and prepare a nifTI file
Create an RGB image for a mosaic image
Parse a file path
Create a mosaic normal image
Write a NIFTI image to a file
Write an image depth
Create mosaic depth image
Write a normal image

Get all kandi verified functions for this library.

gif_your_nifti Key Features

No Key Features are available at this moment for gif_your_nifti.

gif_your_nifti Examples and Code Snippets

Getting started,Resize GIF

Python

Lines of Code : 4

License : Permissive (BSD-3-Clause)

Copy

gif_your_nifti /path/to/mni_icbm152_gm_tal_nlin_asym_09c.nii --size 0.5
gif_your_nifti /path/to/mni_icbm152_gm_tal_nlin_asym_09c.nii --size 0.5 --mode pseudocolor --cmap cubehelix
gif_your_nifti /path/to/mni_icbm152_gm_tal_nlin_asym_09c.nii --size 0.

Getting started,Docker

Python

Lines of Code : 2

License : Permissive (BSD-3-Clause)

Copy

docker build -t gif_your_nifti .

docker run --rm -v /path/to/nifti/:/data gif_your_nifti:latest /data/image.nii

Getting started,Installation

Python

Lines of Code : 2

License : Permissive (BSD-3-Clause)

Copy

pip install -r requirements.txt
python setup.py install

Community Discussions

Trending Discussions on Data Labeling

How can I do this split process in Python?

Replacing a character with a space and dividing the string into two words in R

Azure ML FileDataset registers, but cannot be accessed for Data Labeling project

QUESTION

How can I do this split process in Python?

Asked 2021-Dec-30 at 14:06

I'm trying to make a data labeling in a table, and I need to do it in such a way that, in each row, the index is repeated, however, that in each column there is another Enum class.

What I've done so far is make this representation with the same enumerator class.

A solution using the column separately as a list would also be possible. But what would be the best way to resolve this?

...

ANSWER

Answered 2021-Dec-30 at 13:57

Instead of using Enum you can use a dict mapping. You can avoid loops if you flatten your dataframe:

Source https://stackoverflow.com/questions/70532286

QUESTION

Replacing a character with a space and dividing the string into two words in R

Asked 2020-Nov-18 at 07:32

I have a dataframe that contains a column that includes strings separeted with semi-colons and it is followed by a space. But unfortunately in some of the strings there is a semi-colon that is not followed by a space.

In this case, This is what i'd like to do: If there is a space after the semi-colon we do not need a change. However if there are letters before and after the semi-colon, we should change semi-colon with space

i have this:

...

ANSWER

Answered 2020-Nov-16 at 07:24

Try something like:

Source https://stackoverflow.com/questions/64853962

QUESTION

Azure ML FileDataset registers, but cannot be accessed for Data Labeling project

Asked 2020-Oct-28 at 20:31

Objective: Generate a down-sampled FileDataset using random sampling from a larger FileDataset to be used in a Data Labeling project.

Details: I have a large FileDataset containing millions of images. Each filename contains details about the 'section' it was taken from. A section may contain thousands of images. I want to randomly select a specific number of sections and all the images associated with those sections. Then register the sample as a new dataset.

Please note that the code below is not a direct copy and paste as there are elements such as filepaths and variables that have been renamed for confidentiality reasons.

...

ANSWER

Answered 2020-Oct-27 at 22:39

Is the data behind virtual network by any chance?

Source https://stackoverflow.com/questions/64546521

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

Vulnerabilities

No vulnerabilities reported

Install gif_your_nifti

Navigate to the main page of the repository and clone it. Then, change directory to the cloned repository and run:.

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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