caption_generator | modular library built on top of Keras and TensorFlow | Machine Learning library

by anuragmishracse Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | caption_generator Summary

caption_generator is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow, Keras, Neural Network applications. caption_generator has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Note: This project is no longer under active development. However, queries and pull requests will be responded to. Thanks!. To generate a caption for any image in natural language, English. The architecture for the model is inspired from [1] by Vinyals et al. The module is built using keras, the deep learning library.

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Quality

Security

License

Reuse

Support

caption_generator has a low active ecosystem.

It has 249 star(s) with 110 fork(s). There are 18 watchers for this library.

It had no major release in the last 6 months.

There are 26 open issues and 12 have been closed. On average issues are closed in 22 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of caption_generator is current.

Quality

caption_generator has 0 bugs and 30 code smells.

Security

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

caption_generator code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

caption_generator 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

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

Build file is available. You can build the component from source.

caption_generator saves you 170 person hours of effort in developing the same functionality from scratch.

It has 422 lines of code, 19 functions and 6 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

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caption_generator Key Features

No Key Features are available at this moment for caption_generator.

caption_generator Examples and Code Snippets

No Code Snippets are available at this moment for caption_generator.

Community Discussions

Trending Discussions on caption_generator

im2txt: Load input images from memory (instead of read from disk)

QUESTION

im2txt: Load input images from memory (instead of read from disk)

Asked 2017-Apr-29 at 15:55

I'm interested in modifying the tensorflow implementation of Show and Tell, in particular this v0.12 snapshot, in order to accept an image in numpy form instead of read it from disk.

Loading a filename using the upstream code results in a python string after

...

ANSWER

Answered 2017-Apr-29 at 15:55

The original code:

Source https://stackoverflow.com/questions/43662094

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

Vulnerabilities

No vulnerabilities reported

Install caption_generator

You can download it from GitHub.
You can use caption_generator 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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