pyshearlab | Python toolbox which is based on ShearLab3D | Computer Vision library

by stefanloock Python Version: Current License: Non-SPDX

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

kandi X-RAY | pyshearlab Summary

pyshearlab is a Python library typically used in Artificial Intelligence, Computer Vision, Numpy applications. pyshearlab has no bugs, it has no vulnerabilities, it has build file available and it has low support. However pyshearlab has a Non-SPDX License. You can download it from GitHub.

pyShearLab is a Python toolbox which is based on ShearLab3D written by Rafael Reisenhofer and has been ported to Python by Stefan Loock. Currently, pyShearLab only offers a two-dimensional subset of ShearLab3D which contains both 2D and 3D transforms.

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pyshearlab has a low active ecosystem.

It has 24 star(s) with 13 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 3 open issues and 3 have been closed. On average issues are closed in 52 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of pyshearlab is current.

Quality

pyshearlab has 0 bugs and 0 code smells.

Security

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

pyshearlab code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

pyshearlab has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

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

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

Installation instructions, examples and code snippets are available.

pyshearlab saves you 481 person hours of effort in developing the same functionality from scratch.

It has 1133 lines of code, 34 functions and 8 files.

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

Top functions reviewed by kandi - BETA

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

Get the shearlet system for a GPU
Calculate filters
Solve a scalar array along a given axis
Upsample an array
Performs a mirror filter
Modulate 2d array
Compute the covariance matrix for a given filter
Slads an array to the given new size
Determine the maximum length of a flat array
Returns a list of 2D splices in 2D space
Prepare filters for 2D image filters
Compute the shearlets of the given filters
Check filter sizes
Getwedge bandpass filter and lowpass filter
Generate onFilter based on type
Print toc
Start the tic module

Get all kandi verified functions for this library.

pyshearlab Key Features

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pyshearlab Examples and Code Snippets

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Community Discussions

Trending Discussions on pyshearlab

ValueError: operands could not be broadcast together with shapes (400,400,3) (400,400)

QUESTION

ValueError: operands could not be broadcast together with shapes (400,400,3) (400,400)

Asked 2018-Feb-12 at 12:56

I am using pyshearlab package to denoise image.The function expects an image shape of equal size.After the code is executed denoising is ok for some images but some images generates an error like this. ValueError: operands could not be broadcast together with shapes (400,400,3) (400,400). so i i printed the shape of the image using img.size and it gives (400,400,3)

My question is,, is it possible to eliminate the third parameter from the image. someone please help me.

I am using this for image denoising transformations.There are many toolkits available for image transformations in matlab.Is there any packages to do contourlet denoising,curvelet denoising,bandlet denoising etc in python.

...

ANSWER

Answered 2018-Feb-12 at 08:45

When you have an image array of shape (400, 400, 3) in numpy that means that your image has a height and width of 400x400 and 3 channels.

Most of the time that would be Red, Green and Blue. Your other image with shape (400, 400) only has one channel. So these images won't work together nicely.

You have several options here. It really depends on what your function does with the images and what your output needs to be.

You could split the 3-channel image into separate channels and process them independently.

Source https://stackoverflow.com/questions/48741504

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

Vulnerabilities

No vulnerabilities reported

Install pyshearlab

You can simply download, unzip and use pyShearLab. Depending on your specific Python development environment, you may want to add the pyShearLab2D folder to your Python environment (Python Path). The dependencies can be installed using pip. If you use Anaconda, they are already installed. A pip package is currently not available, but the package can be installed straight from github via:.

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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