signature_extractor | super lightweight image processing algorithm for detection | Computer Vision library

by ahmetozlu Python Version: Current License: MIT

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

kandi X-RAY | signature_extractor Summary

signature_extractor is a Python library typically used in Artificial Intelligence, Computer Vision, Deep Learning, OpenCV applications. signature_extractor has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However signature_extractor build file is not available. You can download it from GitHub.

A super lightweight image processing algorithm for detection and extraction of overlapped handwritten signatures on scanned documents using OpenCV and scikit-image.

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Quality

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signature_extractor has a low active ecosystem.

It has 354 star(s) with 113 fork(s). There are 14 watchers for this library.

It had no major release in the last 6 months.

There are 5 open issues and 5 have been closed. On average issues are closed in 68 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of signature_extractor is current.

Quality

signature_extractor has 0 bugs and 0 code smells.

Security

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

signature_extractor code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

signature_extractor 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

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

signature_extractor 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.

signature_extractor saves you 81 person hours of effort in developing the same functionality from scratch.

It has 230 lines of code, 7 functions and 8 files.

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

Top functions reviewed by kandi - BETA

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

Extract the signature from a source image .
dewarp the image
Transform an image .
Apply brightness contrast to an image
Return the coordinates of the points in points .
Unsharpening image .
Apply brightness contrast to an image .

Get all kandi verified functions for this library.

signature_extractor Key Features

No Key Features are available at this moment for signature_extractor.

signature_extractor Examples and Code Snippets

No Code Snippets are available at this moment for signature_extractor.

Community Discussions

Trending Discussions on signature_extractor

OpenCV specific color extraction

QUESTION

OpenCV specific color extraction

Asked 2020-Sep-23 at 19:10

I am trying to exctract all blue channel items from an image, this is my small script:

...

ANSWER

Answered 2020-Sep-23 at 19:10

This is because this line before the line with the error:

img = cv2.imread(args.inputfile[0], 0)

The 0 argument is passed, which is cv::IMREAD_GRAYSCALE.

Remove the zero, or use 1 to force color:

img = cv2.imread(args.inputfile[0])

Read more in the docs: Image file reading and writing

Source https://stackoverflow.com/questions/64034510

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

Vulnerabilities

No vulnerabilities reported

Install signature_extractor

Python is automatically installed on Ubuntu. Take a moment to confirm (by issuing a python -V command) that one of the following Python versions is already installed on your system:.
Python 3.3+
After completing these 2 installation steps that are given at above, you can test the project by this command: python3 signature_extractor.py

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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