Text2Image | A new way to classify text , using Image Recognition | Machine Learning library

by cabhijith HTML Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | Text2Image Summary

Text2Image is a HTML library typically used in Artificial Intelligence, Machine Learning, Deep Learning applications. Text2Image has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

Text2Image is a new way to classify text. It aims to convert corpus of texts and represent them as Images. Here is a brief explanation of the work. Please refer to Text2Image.pdf for a more in-depth documentation. The code is a .ipynb in the form .html. It can found as Code.html. The data used for this experiment can be found here.

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Support

Text2Image has a low active ecosystem.

It has 8 star(s) with 5 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

Text2Image has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Text2Image is current.

Quality

Text2Image has no bugs reported.

Security

Text2Image has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

Text2Image 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

Text2Image releases are not available. You will need to build from source code and install.

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Text2Image Key Features

No Key Features are available at this moment for Text2Image.

Text2Image Examples and Code Snippets

No Code Snippets are available at this moment for Text2Image.

Community Discussions

Trending Discussions on Text2Image

Tesseract not detecting any text on RGB images on Python

TesseractNotFound - Windows

QUESTION

Tesseract not detecting any text on RGB images on Python

Asked 2020-Apr-23 at 03:14

Hey I started working with Tesseract OCR but I'm having problems getting the text from really simple RGB images. It works just fine with text2image images. Here is my code:

...

ANSWER

Answered 2020-Apr-23 at 03:14

After thresholding, you can use findContours to find contour for each shape. Then you can filter the contours and put every contour you are interested in into a blank white image. By then, you will get the letters and ready to process using tesseract. You can see the detail in the code below.

Source https://stackoverflow.com/questions/61363243

QUESTION

TesseractNotFound - Windows

Asked 2019-Jul-28 at 16:31

I'm trying to use tesseract on Windows, but I'm unable to make it work

I downloaded tesseract-ocr-w64-setup-v5.0.0-alpha.20190708.exe (64 bit) resp. from https://github.com/UB-Mannheim/tesseract/wiki

And that's the code I'm using:

...

ANSWER

Answered 2019-Jul-28 at 16:31

Solution:

Use path to EXE

pytesseract.pytesseract.tesseract_cmd = 'C:\Users\User\AppData\Local\Tesseract-OCR\tesseract.exe'

Source https://stackoverflow.com/questions/57242418

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

Vulnerabilities

No vulnerabilities reported

Install Text2Image

You can download it from GitHub.

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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