pytorch_objectdetection_toycodes | Toycodes of different object detection methods

by unanan Python Version: Current License: MIT

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

kandi X-RAY | pytorch_objectdetection_toycodes Summary

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

Toycodes of different object detection methods.

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Quality

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Support

pytorch_objectdetection_toycodes 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.

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

It has a neutral sentiment in the developer community.

The latest version of pytorch_objectdetection_toycodes is current.

Quality

pytorch_objectdetection_toycodes has no bugs reported.

Security

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

License

pytorch_objectdetection_toycodes is licensed under the MIT License. This license is Permissive.

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

Reuse

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

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

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pytorch_objectdetection_toycodes Key Features

No Key Features are available at this moment for pytorch_objectdetection_toycodes.

pytorch_objectdetection_toycodes Examples and Code Snippets

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Community Discussions

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Vulnerabilities

No vulnerabilities reported

Install pytorch_objectdetection_toycodes

You can download it from GitHub.
You can use pytorch_objectdetection_toycodes 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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