perspective-correction | Automatic perspective correction on photos of A4 | Computer Vision library

by joyeecheung Python Version: Current License: No License

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kandi X-RAY | perspective-correction Summary

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

Automatic perspective correction on photos of A4 papers using Canny detector and Hough transform with opencv-python.

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perspective-correction has a low active ecosystem.

It has 28 star(s) with 11 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 0 have been closed. On average issues are closed in 855 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of perspective-correction is current.

Quality

perspective-correction has 0 bugs and 0 code smells.

Security

perspective-correction has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

perspective-correction code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

perspective-correction 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.

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

perspective-correction has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are not available. Examples and code snippets are available.

perspective-correction saves you 89 person hours of effort in developing the same functionality from scratch.

It has 228 lines of code, 15 functions and 2 files.

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

Top functions reviewed by kandi - BETA

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

Corrects the aspect ratio of the image .
Main function .
Find intersections between two lines .
Processes an image .
Eliminate duplicate lines .
Reorder corners .
Filter lines that are perpendicular to a given margin .
Convert an image to cartesian coordinates .
annotate intersections
Return the distance between two lines .

Get all kandi verified functions for this library.

perspective-correction Key Features

No Key Features are available at this moment for perspective-correction.

perspective-correction Examples and Code Snippets

No Code Snippets are available at this moment for perspective-correction.

Community Discussions

Trending Discussions on perspective-correction

opencv.js perspective transform

QUESTION

opencv.js perspective transform

Asked 2019-Oct-23 at 13:49

I'm trying to use opencv.js to find a document in a provided image (detect edges, apply perspective transform, etc.

I've got a reasonable set of code that (occasionally) detects edges of a document and grabs the bounding box for that. However, I'm struggling to do the perspective transform steps. There are some helpers for this (not in JS) here and here.

Unfortunately I'm getting stuck on something simple. I can find the matching Mat that has 4 edges. Displaying that shows it to be accurate. However, I have no idea how to get some simple X/Y info out of that Mat. I thought minMaxLoc() would be a good option, but I keep getting an error passing in my matching Mat. Any idea why I can draw foundContour and get bounding box info from it, but I can't call minMaxLoc on it?

Code:

...

ANSWER

Answered 2019-Mar-20 at 21:04

For anyone else looking to do this in OpenCV.JS, what I commented above seems to still be accurate. The contour found can't be used with minMaxLoc, but the X/Y data can be pulled out of data32S[]. That should be all that's needed to do this perspective transform. Some code is below.

Source https://stackoverflow.com/questions/51528462

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

Vulnerabilities

No vulnerabilities reported

Install perspective-correction

You can download it from GitHub.
You can use perspective-correction 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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