stacking1 | Image preprocessing code for ImageNet database

by pshwetank Python Version: Current License: GPL-3.0

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kandi X-RAY | stacking1 Summary

stacking1 is a Python library. stacking1 has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. However stacking1 build file is not available. You can download it from GitHub.

This piece is supposed to download and preprocess the images from imagenet database and use them to train the linear Haar cascade based classifier for object recognition. This code reduces the manual labour of downloading chunk of files and proprocessing them to be used in classic linear classifiers.

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Support

stacking1 has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

stacking1 has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of stacking1 is current.

Quality

stacking1 has no bugs reported.

Security

stacking1 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

stacking1 is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

stacking1 releases are not available. You will need to build from source code and install.

stacking1 has no build file. You will be need to create the build yourself to build the component from source.

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stacking1 Key Features

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stacking1 Examples and Code Snippets

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Community Discussions

No Community Discussions are available at this moment for stacking1.Refer to stack overflow page for discussions.

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Vulnerabilities

No vulnerabilities reported

Install stacking1

You can download it from GitHub.
You can use stacking1 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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