ImageEditingWithDialogue | repository contains code and data of ImaDial

by tzuhsial Python Version: Current License: No License

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kandi X-RAY | ImageEditingWithDialogue Summary

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

This repository contains code and data of ImaDial -- the system used in our paper, and contains 3 separate repos ./imadial-nlu, ./imadial-system, ./imadial-mattnet.

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ImageEditingWithDialogue has a low active ecosystem.

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

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of ImageEditingWithDialogue is current.

Quality

ImageEditingWithDialogue has no bugs reported.

Security

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

License

ImageEditingWithDialogue does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

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

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

Installation instructions, examples and code snippets are available.

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ImageEditingWithDialogue Key Features

No Key Features are available at this moment for ImageEditingWithDialogue.

ImageEditingWithDialogue Examples and Code Snippets

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Community Discussions

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Vulnerabilities

No vulnerabilities reported

Install ImageEditingWithDialogue

To setup the system, you'll need to start the servers in each of the 3 directories. cd into imadial-nlu, and follow installation instructions in imadial-nlu/README.md. Note model trained in imadial-nlu may not have same results as the model in our paper. cd into imadial-mattnet, and follow installation instructions in the imadial-mattnet/README.md. I forked the original MattNet repo and added a flask server script. (To be honest, installing MattNet was ~~a pain in the ass~~ not straight forward for me.). After setting up NLU and MattNet, cd into imadial-system and follow installation instructions in README.md.

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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