cyvlfeat | A thin Cython wrapper around select areas of vlfeat

by menpo Python Version: 0.7.1 License: BSD-2-Clause

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

kandi X-RAY | cyvlfeat Summary

cyvlfeat is a Python library. cyvlfeat has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install cyvlfeat' or download it from GitHub, PyPI.

We intend for this to be a light wrapper around the [VLFeat] toolbox. cyvlfeat will provide a mixture of pure Python and Cython code that looks to replicate the existing Matlab toolbox. Cython is intended to fulfill the role of `mex` files. We respect the original BSD 2-clause license and thus release this wrapper under the same license. We thank the authors of VLFeat for their contribution to the computer vision community.

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cyvlfeat has a low active ecosystem.

It has 83 star(s) with 61 fork(s). There are 13 watchers for this library.

There were 1 major release(s) in the last 6 months.

There are 9 open issues and 12 have been closed. On average issues are closed in 306 days. There are 5 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of cyvlfeat is 0.7.1

Quality

cyvlfeat has 0 bugs and 16 code smells.

Security

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

cyvlfeat code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

cyvlfeat is licensed under the BSD-2-Clause License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

cyvlfeat releases are available to install and integrate.

Deployable package is available in PyPI.

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

Installation instructions are not available. Examples and code snippets are available.

cyvlfeat saves you 524 person hours of effort in developing the same functionality from scratch.

It has 1228 lines of code, 75 functions and 46 files.

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

Top functions reviewed by kandi - BETA

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

Get the version from the static version file
Extract the version from the git repo
Get a version from a git archive
Format a PEP440 version
Returns a dict with static version information
Build an Extension from a pyx path
Return the version and cmdclass for a package
Check if version is from git

Get all kandi verified functions for this library.

cyvlfeat Key Features

No Key Features are available at this moment for cyvlfeat.

cyvlfeat Examples and Code Snippets

No Code Snippets are available at this moment for cyvlfeat.

Community Discussions

Trending Discussions on cyvlfeat

Cyvlfeat.vlad - 'module' object is not callable

QUESTION

Cyvlfeat.vlad - 'module' object is not callable

Asked 2020-Mar-10 at 15:23

I have installed cyvlfeat using conda install cyvlfeat ( from https://gsoc2016.wordpress.com/2016/08/19/cythonpython-wrapper-for-vlfeat-library-cyvlfeat-project-status/ ). The problem is that when I run the following code:

...

ANSWER

Answered 2020-Mar-10 at 15:23

The code from the blog post you're trying to use was never merged into the main project: https://github.com/menpo/cyvlfeat/pull/25

As you can see, currently cyvfleat.vlad is an empty module:

https://github.com/menpo/cyvlfeat/tree/master/cyvlfeat/vlad

Source https://stackoverflow.com/questions/60610400

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

Vulnerabilities

No vulnerabilities reported

Install cyvlfeat

You can install using 'pip install cyvlfeat' or download it from GitHub, PyPI.
You can use cyvlfeat 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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