NIPET | throughput PET image reconstruction with high quantitative

by NiftyPET Python Version: 2.2.0 License: Apache-2.0

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

kandi X-RAY | NIPET Summary

NIPET is a Python library. NIPET has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install NIPET' or download it from GitHub, PyPI.

High-throughput PET image reconstruction with high quantitative accuracy and precision

Support

Quality

Security

License

Reuse

Support

NIPET has a low active ecosystem.

It has 19 star(s) with 5 fork(s). There are 5 watchers for this library.

It had no major release in the last 12 months.

There are 7 open issues and 6 have been closed. On average issues are closed in 61 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of NIPET is 2.2.0

Quality

NIPET has 0 bugs and 0 code smells.

Security

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

NIPET code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

NIPET 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

NIPET releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

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

NIPET saves you 1917 person hours of effort in developing the same functionality from scratch.

It has 4225 lines of code, 99 functions and 23 files.

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

Top functions reviewed by kandi - BETA

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

Perform MMR chain .
Perform VSM decomposition .
align a mum map
Perform an osemone operation .
Calculates the reduced axial FOV for a given ring .
r Returns the transformation of the crystal ring in transaxial mode
Simulate a correlation image .
Extract the physical mu - map .
Create histogram of data
Parse dcm file

Get all kandi verified functions for this library.

NIPET Key Features

No Key Features are available at this moment for NIPET.

NIPET Examples and Code Snippets

No Code Snippets are available at this moment for NIPET.

Community Discussions

Trending Discussions on NIPET

Can I install Python 2 packages in Python 3 using pip?

QUESTION

Can I install Python 2 packages in Python 3 using pip?

Asked 2018-Dec-06 at 09:10

On my Python 3.6 installation, I just tried

...

ANSWER

Answered 2018-Dec-04 at 13:33

TL; DR: No, you can't.

nipet is not Python 3 compatible. As @deceze said in comment, you need to fix that before trying to install it. pip can't do the job.

Checkout the code and make it Python 3 (this may involve 2to3 and probably manual changes). Then retry to install it. If you're happy with what you got, you may submit your Python 3 port to the maintainer.

Also, nipet should be fixed to specify it is Python 2 only so that it is listed as Python 2 only on PyPI and pip3 does not even attempt to install if. You should open an issue in the bugtracker to ask the maintainer to fix that. Or even send a pull-request adding appropriate classifiers to setup.py, If you're comfortable doing that.

Source https://stackoverflow.com/questions/53613868

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

Vulnerabilities

No vulnerabilities reported

Install NIPET

You can install using 'pip install NIPET' or download it from GitHub, PyPI.
You can use NIPET 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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