Image-Rectification | Compute Vanishing points using RANSAC and rectify the image | Computer Vision library

by chsasank Python Version: Current License: BSD-3-Clause

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

kandi X-RAY | Image-Rectification Summary

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

Compute Vanishing points using RANSAC and rectify the image

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Security

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Image-Rectification has a low active ecosystem.

It has 244 star(s) with 66 fork(s). There are 8 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 0 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Image-Rectification is current.

Quality

Image-Rectification has 0 bugs and 0 code smells.

Security

Image-Rectification has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

Image-Rectification code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Image-Rectification is licensed under the BSD-3-Clause License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

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

Image-Rectification 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.

Image-Rectification saves you 88 person hours of effort in developing the same functionality from scratch.

It has 226 lines of code, 11 functions and 1 files.

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

Top functions reviewed by kandi - BETA

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

Rectify an image
Compute the homography and warp of the image
Generate a random ransac
Generate a random ransac replacement point
Compute the edgelets of the image
Compute votes for the given edgelets
Reestimate a model for a model
Remove outliers from edgelets
R Converts the given edgelets
Visualize an image
Visualize edgelets

Get all kandi verified functions for this library.

Image-Rectification Key Features

No Key Features are available at this moment for Image-Rectification.

Image-Rectification Examples and Code Snippets

No Code Snippets are available at this moment for Image-Rectification.

Community Discussions

Trending Discussions on Image-Rectification

Image Rectification of Stereo Images

QUESTION

Image Rectification of Stereo Images

Asked 2020-Jun-30 at 07:38

My final goal is to make visual odometry. For this, I am going to collect my own image dataset. But first of all, I am triying to do image rectification with raw images of Malaga Dataset . The dataset is stereo images dataset. I already downloaded the malaga-urban-dataset-extract-07.zip file and I tryed to do image rectification with raw images. I used the MATLAB code :

...

ANSWER

Answered 2020-Jun-30 at 07:38

The difference most probably comes from the fact that you used estimateUncalibratedRectification() whereas the rectified images of the Malaga dataset rely on a proper rectification using calibration parameters.

In the Malaga dataset webpage, you can find the stereo calibration parameters (e.g. http://ingmec.ual.es/~jlblanco/malaga-urban-dataset/calibration/camera_params_rectified_a=0_800x600.txt .

Using this approach, you should get the same results.

Source https://stackoverflow.com/questions/62612557

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

Vulnerabilities

No vulnerabilities reported

Install Image-Rectification

You can download it from GitHub.
You can use Image-Rectification 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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