LAYNII | Stand alone fMRI software suite for layer-fMRI analyses | Data Labeling library

by layerfMRI C++ Version: v2.4.0 License: BSD-3-Clause

X-Ray Key Features Code Snippets(2)Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | LAYNII Summary

LAYNII is a C++ library typically used in Artificial Intelligence, Data Labeling applications. LAYNII has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

This is a package of standalone layer (functional) magnetic resonance imaging (layer-fMRI) C++ programs that depends only on a C++ compiler. The purpose of this package is to provide layer-analysis software that are not (yet) included in the other major MRI analysis software.

Support

Quality

Security

License

Reuse

Support

LAYNII has a low active ecosystem.

It has 67 star(s) with 21 fork(s). There are 10 watchers for this library.

It had no major release in the last 12 months.

There are 11 open issues and 59 have been closed. On average issues are closed in 199 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of LAYNII is v2.4.0

Quality

LAYNII has no bugs reported.

Security

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

License

LAYNII 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

LAYNII releases are available to install and integrate.

Installation instructions, examples and code snippets are available.

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LAYNII Key Features

No Key Features are available at this moment for LAYNII.

LAYNII Examples and Code Snippets

LayNii,Comment on makefile and compiler

C++

Lines of Code : 40

License : Permissive (BSD-3-Clause)

Copy

c++ -std=c++11 -DHAVE_ZLIB -o LN_BOCO src/LN_BOCO.cpp dep/nifti2_io.cpp dep/znzlib.cpp dep/laynii_lib.cpp -I./dep  -lm -lz
c++ -std=c++11 -DHAVE_ZLIB -o LN_MP2RAGE_DNOISE src/LN_MP2RAGE_DNOISE.cpp dep/nifti2_io.cpp dep/znzlib.cpp dep/laynii_lib.cpp -

LayNii,Installation

C++

Lines of Code : 3

License : Permissive (BSD-3-Clause)

Copy

git clone --depth 1 https://github.com/layerfMRI/laynii

cd laynii

make all

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 LAYNII

A detailed descriptions of how to set up LayNii is provided here: https://layerfmri.com/laynii-setup/ A brief instruction is also given below.
Download the latest release and unzip it or clone the repository with the command:
Change directory to laynii folder:
Compile it with:

Support

If you have any issues when using LayNii, or want to request a new feature, we are happy to see them posted on our issues page. Please employ this as your preferred method (instead of sending individual emails to the authors), since fellow researchers might have similar issues and suggestions.

Find more information at: