image_classfication | 基于无监督学习，无需训练，先使用SIFT算法提取图像特征，再使用KMeans聚类算法进行图像分类，速度非常快，精度还在提高。

by Byronnar Python Version: Current License: No License

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

kandi X-RAY | image_classfication Summary

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

基于无监督学习，无需训练，先使用SIFT算法提取图像特征，再使用KMeans聚类算法进行图像分类，速度非常快，精度还在提高。

Support

Quality

Security

License

Reuse

Support

image_classfication has a low active ecosystem.

It has 92 star(s) with 14 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 2 have been closed. On average issues are closed in 11 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of image_classfication is current.

Quality

image_classfication has 0 bugs and 0 code smells.

Security

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

image_classfication code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

image_classfication 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

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

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

image_classfication saves you 30 person hours of effort in developing the same functionality from scratch.

It has 82 lines of code, 5 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 image_classfication and discovered the below as its top functions. This is intended to give you an instant insight into image_classfication implemented functionality, and help decide if they suit your requirements.

Detect kmeans using kmeans
tries to find kmeans
get list of file names
save data to file
Take a list of filenames and return a dictionary with labels .

Get all kandi verified functions for this library.

image_classfication Key Features

No Key Features are available at this moment for image_classfication.

image_classfication Examples and Code Snippets

No Code Snippets are available at this moment for image_classfication.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install image_classfication

You can download it from GitHub.
You can use image_classfication 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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