image2text | A deep learning project to tell story with an image | Machine Learning library

by KleinYuan Python Version: Current License: No License

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

kandi X-RAY | image2text Summary

image2text is a Python library typically used in Telecommunications, Media, Media, Entertainment, Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Tensorflow applications. image2text has no bugs, it has no vulnerabilities and it has low support. However image2text build file is not available. You can download it from GitHub.

Firstly, a word embedding with word2vec net is trained against iaprtc12 datasets. Secondly, the filtered (meaning, if the description is too long, we only keep the first sentence) word vectors for each description of image are used as target output of a CNN network.

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Support

image2text has a low active ecosystem.

It has 25 star(s) with 10 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 4 open issues and 0 have been closed. On average issues are closed in 820 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of image2text is current.

Quality

image2text has 0 bugs and 0 code smells.

Security

image2text has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

image2text code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

image2text 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

image2text releases are not available. You will need to build from source code and install.

image2text 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.

It has 636 lines of code, 34 functions and 10 files.

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

Top functions reviewed by kandi - BETA

kandi has reviewed image2text and discovered the below as its top functions. This is intended to give you an instant insight into image2text implemented functionality, and help decide if they suit your requirements.

Load training images .
Train the model .
Freeze a tf . graph .
Run prediction on the given image .
Initialize the model .
Performs a word tokenization .
Find the closest word in embedding .
Load the frozen graph .
Load a pickle file .
Splits a sequence into chunks .

Get all kandi verified functions for this library.

image2text Key Features

No Key Features are available at this moment for image2text.

image2text Examples and Code Snippets

No Code Snippets are available at this moment for image2text.

Community Discussions

Trending Discussions on image2text

Bilateral Filter Error In OpenCV for Some Images

QUESTION

Bilateral Filter Error In OpenCV for Some Images

Asked 2022-Feb-01 at 18:42

I have a dataset of memes' URLs which I wanna extract their texts from them. I have this function:

...

ANSWER

Answered 2022-Feb-01 at 18:40

I fixed it by adding the following line after opening the image:

Source https://stackoverflow.com/questions/70942221

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

Vulnerabilities

No vulnerabilities reported

Install image2text

For various systems, you need to use different tools to install tensorflow, lasagne, theano, nolearn, ... dependencies, first. Then, simply run below scripts to download the datasets.

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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