BrainPrint-legacy | Python scripts for shape analysis
kandi X-RAY | BrainPrint-legacy Summary
kandi X-RAY | BrainPrint-legacy Summary
BrainPrint-legacy is a Python library. BrainPrint-legacy has no bugs, it has no vulnerabilities and it has low support. However BrainPrint-legacy build file is not available. You can download it from GitHub.
BrainPrint represents a set of shape descriptors of a collection of subcortical and cortical structures. Note, that we moved most of this functionality to a pure python package: The new package drops the shapeDNA-* and meshfix, Gmsh dependencies. ShapeDNA-tria functionality has mainly been replaced via our LaPy packages The new python version, however, currently lacks support for 3D tetmeshes, as well as support for additional cortical regions and labels, which is why we will keep this package around as a legacy version.
BrainPrint represents a set of shape descriptors of a collection of subcortical and cortical structures. Note, that we moved most of this functionality to a pure python package: The new package drops the shapeDNA-* and meshfix, Gmsh dependencies. ShapeDNA-tria functionality has mainly been replaced via our LaPy packages The new python version, however, currently lacks support for 3D tetmeshes, as well as support for additional cortical regions and labels, which is why we will keep this package around as a legacy version.
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Quality
Security
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Support
BrainPrint-legacy has a low active ecosystem.
It has 14 star(s) with 7 fork(s). There are 4 watchers for this library.
It had no major release in the last 12 months.
There are 0 open issues and 3 have been closed. On average issues are closed in 266 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of BrainPrint-legacy is v1.0
Quality
BrainPrint-legacy has 0 bugs and 0 code smells.
Security
BrainPrint-legacy has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
BrainPrint-legacy code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
BrainPrint-legacy does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
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BrainPrint-legacy releases are available to install and integrate.
BrainPrint-legacy has no build file. You will be need to create the build yourself to build the component from source.
It has 838 lines of code, 17 functions and 2 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed BrainPrint-legacy and discovered the below as its top functions. This is intended to give you an instant insight into BrainPrint-legacy implemented functionality, and help decide if they suit your requirements.
- Parse options .
- Compute shape DNAs .
- Convert surface to STL .
- Create a seg for a segid
- Get an APARC image for a given subject .
- Extract evals from an evfile
- Get label for label .
- Run shapeDNA atria .
- Find the location of a program .
- Run shapeDNA - tetra .
Get all kandi verified functions for this library.
BrainPrint-legacy Key Features
No Key Features are available at this moment for BrainPrint-legacy.
BrainPrint-legacy Examples and Code Snippets
No Code Snippets are available at this moment for BrainPrint-legacy.
Community Discussions
No Community Discussions are available at this moment for BrainPrint-legacy.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install BrainPrint-legacy
You can download it from GitHub.
You can use BrainPrint-legacy 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.
You can use BrainPrint-legacy 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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