flask-ocr | use flask and tesseract to have a basic ocr | Computer Vision library

by mylamour JavaScript Version: Current License: No License

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kandi X-RAY | flask-ocr Summary

flask-ocr is a JavaScript library typically used in Artificial Intelligence, Computer Vision, OpenCV applications. flask-ocr has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

use flask and tesseract to have a basic ocr, also you need opencv2, this code use opencv2 to have a basic image process

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Quality

Security

License

Reuse

Support

flask-ocr has a low active ecosystem.

It has 22 star(s) with 4 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

flask-ocr has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of flask-ocr is current.

Quality

flask-ocr has 0 bugs and 0 code smells.

Security

flask-ocr has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

flask-ocr code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

flask-ocr 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

flask-ocr releases are not available. You will need to build from source code and install.

flask-ocr saves you 3833 person hours of effort in developing the same functionality from scratch.

It has 8171 lines of code, 9 functions and 19 files.

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

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flask-ocr Key Features

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flask-ocr Examples and Code Snippets

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Community Discussions

Trending Discussions on flask-ocr

Python cv2.error: OpenCV(3.4.1) error: (-215) !_src.empty() in function fastNlMeansDenoising when using calculated values inside array

QUESTION

Python cv2.error: OpenCV(3.4.1) error: (-215) !_src.empty() in function fastNlMeansDenoising when using calculated values inside array

Asked 2018-Jul-24 at 08:39

I am currently using OpenCV and PyTesseract to read image from an ROI specified. Here's what I've come through:

...

ANSWER

Answered 2018-Jul-24 at 08:39

It turns out that defining the ROI was wrong. I thought it was roi = image[y1:x1, y2:x2] but after quick search it was roi = image[y1:y2, x1:x2]. Should have go to sleep.

Source https://stackoverflow.com/questions/51492385

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

Vulnerabilities

No vulnerabilities reported

Install flask-ocr

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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