py-faster-rcnn | A fork of https

by maheriya Python Version: Current License: Non-SPDX

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

kandi X-RAY | py-faster-rcnn Summary

py-faster-rcnn is a Python library. py-faster-rcnn has no bugs, it has no vulnerabilities and it has low support. However py-faster-rcnn build file is not available and it has a Non-SPDX License. You can download it from GitHub.

A fork of https://github.com/rbgirshick/py-faster-rcnn for DVIA detection work

Support

Quality

Security

License

Reuse

Support

py-faster-rcnn 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.

py-faster-rcnn has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of py-faster-rcnn is current.

Quality

py-faster-rcnn has no bugs reported.

Security

py-faster-rcnn has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

py-faster-rcnn has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

py-faster-rcnn releases are not available. You will need to build from source code and install.

py-faster-rcnn has no build file. You will be need to create the build yourself to build the component from source.

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py-faster-rcnn Key Features

No Key Features are available at this moment for py-faster-rcnn.

py-faster-rcnn Examples and Code Snippets

No Code Snippets are available at this moment for py-faster-rcnn.

Community Discussions

No Community Discussions are available at this moment for py-faster-rcnn.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install py-faster-rcnn

You can download it from GitHub.
You can use py-faster-rcnn 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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