pymultiscale | Multi-scale Transforms | Computer Vision library

 by   broxtronix Python Version: Current License: Non-SPDX

kandi X-RAY | pymultiscale Summary

kandi X-RAY | pymultiscale Summary

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

PyMultiscale is a collection of 1D, 2D, and 3D wavelet transforms for Python. This code is unsupported, and a work in progress. Still, you may find it useful. Enjoy!.
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              pymultiscale has a low active ecosystem.
              It has 16 star(s) with 5 fork(s). There are 5 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              pymultiscale has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of pymultiscale is current.

            kandi-Quality Quality

              pymultiscale has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              pymultiscale 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.

            kandi-Reuse Reuse

              pymultiscale 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 are not available. Examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed pymultiscale and discovered the below as its top functions. This is intended to give you an instant insight into pymultiscale implemented functionality, and help decide if they suit your requirements.
            • Calculate multiscale VST - Stabilization
            • Bspline star algorithm
            • Implements the SSVST method
            • Estimate noise threshold
            • Apply curvelet transform
            • Evaluate the Fourier transform
            • Apply modwt wavelet transform
            • Compute the MODW wavelet transform
            • Return a ~wpy wavelet filter
            • Qmf function
            • Inverse of inverse curvelet transform
            • Inverse transform of coefs
            Get all kandi verified functions for this library.

            pymultiscale Key Features

            No Key Features are available at this moment for pymultiscale.

            pymultiscale Examples and Code Snippets

            No Code Snippets are available at this moment for pymultiscale.

            Community Discussions

            Trending Discussions on pymultiscale

            QUESTION

            What does this where Condition mean in python script
            Asked 2019-Jan-20 at 13:57

            I am trying to translate a python script into java. As I'm not much familiar with python, I cannot understand a condition in this script. here is the original script:

            ...

            ANSWER

            Answered 2019-Jan-20 at 13:57

            First of all, (numpy.nan != numpy.nan) is True, so, exact_inverse != exact_inverse is not always false.

            Next, consider this:

            Source https://stackoverflow.com/questions/54277119

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

            Vulnerabilities

            No vulnerabilities reported

            Install pymultiscale

            You can download it from GitHub.
            You can use pymultiscale 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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            https://github.com/broxtronix/pymultiscale.git

          • CLI

            gh repo clone broxtronix/pymultiscale

          • sshUrl

            git@github.com:broxtronix/pymultiscale.git

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