caption_vqa | This is the code for our paper by the same name

by jialinwu17 Python Version: Current License: MIT

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kandi X-RAY | caption_vqa Summary

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

This is the code for our paper by the same name. Currently being processed for arXiv. Link will be up shortly. Refer to the paper folder in the mean time. This Project was done for Stanford's CS 224N and CS 230. Our model architecture is inspired by the winning entry of the 2017 VQA Challenge. Which follows the VQA system described in "Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering" (and "Tips and Tricks for Visual Question Answering: Learnings from the 2017 Challenge" (

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caption_vqa 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.

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

It has a neutral sentiment in the developer community.

The latest version of caption_vqa is current.

Quality

caption_vqa has no bugs reported.

Security

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

License

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

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

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caption_vqa Key Features

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caption_vqa Examples and Code Snippets

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Community Discussions

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Vulnerabilities

No vulnerabilities reported

Install caption_vqa

You can download it from GitHub.
You can use caption_vqa 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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