pyDGS | Wavelet-based digital grain size analysis
kandi X-RAY | pyDGS Summary
kandi X-RAY | pyDGS Summary
pyDGS is a Python library typically used in Telecommunications, Media, Media, Entertainment applications. pyDGS has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However pyDGS build file is not available. You can install using 'pip install pyDGS' or download it from GitHub, PyPI.
pydgs is an open-source project dedicated to provide a Python framework to compute estimates of grain size distribution using the continuous wavelet transform method of Buscombe (2013) from an image of sediment where grains are clearly resolved. It doesn't require calibration, but does require scaling. It works best for well-sorted sands and gravels. It doesn't work so well for mixtures or subpixel grains - you might have better luck with my other program SediNet.
pydgs is an open-source project dedicated to provide a Python framework to compute estimates of grain size distribution using the continuous wavelet transform method of Buscombe (2013) from an image of sediment where grains are clearly resolved. It doesn't require calibration, but does require scaling. It works best for well-sorted sands and gravels. It doesn't work so well for mixtures or subpixel grains - you might have better luck with my other program SediNet.
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Support
pyDGS has a low active ecosystem.
It has 20 star(s) with 11 fork(s). There are 7 watchers for this library.
It had no major release in the last 12 months.
There are 0 open issues and 10 have been closed. On average issues are closed in 80 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of pyDGS is 3.0.13
Quality
pyDGS has 0 bugs and 0 code smells.
Security
pyDGS has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
pyDGS code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
pyDGS is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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pyDGS releases are available to install and integrate.
Deployable package is available in PyPI.
pyDGS has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions are not available. Examples and code snippets are available.
pyDGS saves you 66 person hours of effort in developing the same functionality from scratch.
It has 172 lines of code, 4 functions and 2 files.
It has low code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed pyDGS and discovered the below as its top functions. This is intended to give you an instant insight into pyDGS implemented functionality, and help decide if they suit your requirements.
- Generate a PNG image .
- simple function for dgs
- Scale an image .
- Rescale an array .
Get all kandi verified functions for this library.
pyDGS Key Features
No Key Features are available at this moment for pyDGS.
pyDGS Examples and Code Snippets
No Code Snippets are available at this moment for pyDGS.
Community Discussions
No Community Discussions are available at this moment for pyDGS.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install pyDGS
You can install using 'pip install pyDGS' or download it from GitHub, PyPI.
You can use pyDGS 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 pyDGS 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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