autodl_cv2 | Third place solution for AutoDl CV2 challenge

by kvr777 Python Version: Current License: Apache-2.0

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

kandi X-RAY | autodl_cv2 Summary

autodl_cv2 is a Python library. autodl_cv2 has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However autodl_cv2 build file is not available. You can download it from GitHub.

Third place solution for AutoDl CV2 challenge.

Support

Quality

Security

License

Reuse

Support

autodl_cv2 has a low active ecosystem.

It has 1 star(s) with 2 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

autodl_cv2 has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of autodl_cv2 is current.

Quality

autodl_cv2 has no bugs reported.

Security

autodl_cv2 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

autodl_cv2 is licensed under the Apache-2.0 License. This license is Permissive.

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

Reuse

autodl_cv2 releases are not available. You will need to build from source code and install.

autodl_cv2 has no build file. You will be need to create the build yourself to build the component from source.

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autodl_cv2 Key Features

No Key Features are available at this moment for autodl_cv2.

autodl_cv2 Examples and Code Snippets

No Code Snippets are available at this moment for autodl_cv2.

Community Discussions

No Community Discussions are available at this moment for autodl_cv2.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install autodl_cv2

You can download it from GitHub.
You can use autodl_cv2 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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