ptycho_pmace | distributed reconstruction such as ptychographic image

by cabouman Python Version: v0.0.1 License: BSD-3-Clause

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

kandi X-RAY | ptycho_pmace Summary

ptycho_pmace is a Python library. ptycho_pmace 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.

PMACE is a framework for distributed reconstruction such as ptychographic image reconstruction. This python package implements PMACE approach in python.

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Quality

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License

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Support

ptycho_pmace has a low active ecosystem.

It has 1 star(s) with 1 fork(s). There are 2 watchers for this library.

It had no major release in the last 12 months.

ptycho_pmace has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of ptycho_pmace is v0.0.1

Quality

ptycho_pmace has no bugs reported.

Security

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

License

ptycho_pmace 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

ptycho_pmace 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.

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ptycho_pmace Key Features

No Key Features are available at this moment for ptycho_pmace.

ptycho_pmace Examples and Code Snippets

No Code Snippets are available at this moment for ptycho_pmace.

Community Discussions

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

Vulnerabilities

No vulnerabilities reported

Install ptycho_pmace

Download the source code:. Move to a directory of your choice and run the following commands. It is recommended that you install the package to a virtual environment. Install Anaconda and follow any of the two methods. 2.1. Easy installation: If you have Anaconda installed, run the following commands. 2.2. Manual installation: Note the pmace environment needs to be activated every time you use the package. Once the installation is done, you can validate the installation by running the demo script.
Download the source code: Move to a directory of your choice and run the following commands. git clone https://github.com/cabouman/ptycho_pmace.git cd ptycho_pmace
Installation: It is recommended that you install the package to a virtual environment. Install Anaconda and follow any of the two methods.
2.1. Easy installation: If you have Anaconda installed, run the following commands. cd dev_scripts source ./clean_install_all.sh cd ..
2.2. Manual installation: Note the pmace environment needs to be activated every time you use the package. 2.2.1 Create a Virtual Environment: conda create --name pmace python=3.8 conda activate pmace 2.2.2 Install the dependencies: pip install -r requirements.txt 2.2.3 Install the gmcluster package: pip install . 2.2.4 Install the documentation: cd docs/ pip install -r requirements.txt make clean html cd ..
Validate installation: Once the installation is done, you can validate the installation by running the demo script. cd demo/ pyhon demo_pmace.py

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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