GCNet_global_context_module_tensorflow | An implementation of global context module in GCNet

by xggIoU Python Version: Current License: MIT

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kandi X-RAY | GCNet_global_context_module_tensorflow Summary

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

This is an implementation of global context module in GCNet.(GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond)I just modified it from the official code.I hope this can help some tensorflow users. Please let me know if there is something wrong with my code. Official code repository

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GCNet_global_context_module_tensorflow has a low active ecosystem.

It has 3 star(s) with 0 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of GCNet_global_context_module_tensorflow is current.

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GCNet_global_context_module_tensorflow has no bugs reported.

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

License

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

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

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

GCNet_global_context_module_tensorflow 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.

Top functions reviewed by kandi - BETA

kandi has reviewed GCNet_global_context_module_tensorflow and discovered the below as its top functions. This is intended to give you an instant insight into GCNet_global_context_module_tensorflow implemented functionality, and help decide if they suit your requirements.

Compute global context module
Calculate the global average pool of x
2d convolution layer

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Install GCNet_global_context_module_tensorflow

You can download it from GitHub.
You can use GCNet_global_context_module_tensorflow 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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