Spherical-Convolution

by sammy-su Python Version: Current License: No License

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

kandi X-RAY | Spherical-Convolution Summary

Spherical-Convolution is a Python library. Spherical-Convolution has no bugs, it has no vulnerabilities and it has low support. However Spherical-Convolution build file is not available. You can download it from GitHub.

Spherical-Convolution

Support

Quality

Security

License

Reuse

Support

Spherical-Convolution has a low active ecosystem.

It has 52 star(s) with 12 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

There are 7 open issues and 1 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Spherical-Convolution is current.

Quality

Spherical-Convolution has 0 bugs and 0 code smells.

Security

Spherical-Convolution has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

Spherical-Convolution code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Spherical-Convolution does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

Spherical-Convolution releases are not available. You will need to build from source code and install.

Spherical-Convolution has no build file. You will be need to create the build yourself to build the component from source.

Spherical-Convolution saves you 1356 person hours of effort in developing the same functionality from scratch.

It has 3037 lines of code, 155 functions and 26 files.

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

Top functions reviewed by kandi - BETA

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

Crop source and target centers
Crop an image
Generate a source file
Builds the P matrix
Sample points on the sphere
Generate a grid from a polar displace
Solve the network
Extract a target s target
Extract convolutional vectors
Compute the base vector of the sphere
Solve a Sphinx layer
Extract convolutional vectors from input image
Translate cartesian coordinates
Construct a set of coordinates from the given coordinates
Construct a set of base bases
Generate anchors
Make an array of anchors
Enumerate anchors
Return the height of an anchor
Extract convolution vectors
Extracts the convolution of a vector

Get all kandi verified functions for this library.

Spherical-Convolution Key Features

No Key Features are available at this moment for Spherical-Convolution.

Spherical-Convolution Examples and Code Snippets

No Code Snippets are available at this moment for Spherical-Convolution.

Community Discussions

No Community Discussions are available at this moment for Spherical-Convolution.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install Spherical-Convolution

You can download it from GitHub.
You can use Spherical-Convolution 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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