image-fuzzy-matching | # # # 原理介绍此项目是对imagehash这个Python库的延展原本项目是对两张图片进行对比

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kandi X-RAY | image-fuzzy-matching Summary

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

###原理介绍此项目是对imagehash这个Python库的延展原本项目是对两张图片进行对比, 然后给出一个数字结果, 数字越小说明两张图片越相似但原库的对比方法输入是两张图片, 在实际项目中使用效率比较低. 经过阅读源码, 我们们发现imagehash图片对比的基本流程是: 1. 打开图片并通过算法转化成hash值 2. 把hash值转化成numpy array 3. 用numpy.count_nonzero()这个方法对两个numpy array进行对比得出结果. 我们发现其实把图片通过imagehash转化为numpy array, 我们可以直接用numpy.count_nonzero()对两个numpy array进行对比也可以得到同样结果, 在实际项目中我们可以直接把这个numpy array可以转化成字符串并进行存储(字节长度小于100), 这样就可以提高使用效率, 具体方法在项目代码中.

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image-fuzzy-matching has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

image-fuzzy-matching has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of image-fuzzy-matching is current.

Quality

image-fuzzy-matching has no bugs reported.

Security

image-fuzzy-matching has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

image-fuzzy-matching 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.

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image-fuzzy-matching releases are not available. You will need to build from source code and install.

image-fuzzy-matching has no build file. You will be need to create the build yourself to build the component from source.

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

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image-fuzzy-matching Key Features

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image-fuzzy-matching Examples and Code Snippets

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Vulnerabilities

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Install image-fuzzy-matching

You can download it from GitHub.
You can use image-fuzzy-matching 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.

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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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