Python-Multiple-Image-Stitching | Implementation of multiple image stitching | Computer Vision library

by kushalvyas Python Version: Current License: No License

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kandi X-RAY | Python-Multiple-Image-Stitching Summary

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

Implementation of multiple image stitching

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Python-Multiple-Image-Stitching has a low active ecosystem.

It has 514 star(s) with 185 fork(s). There are 21 watchers for this library.

It had no major release in the last 6 months.

Python-Multiple-Image-Stitching has no issues reported. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of Python-Multiple-Image-Stitching is current.

Quality

Python-Multiple-Image-Stitching has no bugs reported.

Security

Python-Multiple-Image-Stitching has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

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

Python-Multiple-Image-Stitching 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.

Top functions reviewed by kandi - BETA

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

mix two images
match two images
returns the homography
right shift the image
Prepare list of images
Initialize the image .
Get the surfeatures of the given image .

Get all kandi verified functions for this library.

Python-Multiple-Image-Stitching Key Features

No Key Features are available at this moment for Python-Multiple-Image-Stitching.

Python-Multiple-Image-Stitching Examples and Code Snippets

No Code Snippets are available at this moment for Python-Multiple-Image-Stitching.

Community Discussions

Trending Discussions on Python-Multiple-Image-Stitching

Python OpenCV real time image stitching (n = 5) performance optimization

QUESTION

Python OpenCV real time image stitching (n = 5) performance optimization

Asked 2019-Jan-10 at 13:08

I need to stitch five video streams on the fly. The cameras recording the videos are mounted onto a rack side by side and will never change their relative position to one another. Homography matrices are therefore static.

I'm following the approach from this github repo:

Starting from the center image, you first stitch to the left, and then stitch the remaining images to the right.

The code from that repo works, but it is painfully slow. I've been able to dramatically improve its performance (factor 300), but it still takes 0.25 seconds to stitch a panorama of five images (on a 2015 Macbook Pro).

The slow part: Applying each result of cv2.warpPerspective(...) to the images stitched up to that point. I'm currently doing this by using the alpha channel and blending the two images, inspired by this SO answer. It is this blending that makes the stitching slow.

(Pseudo) code:

...

ANSWER

Answered 2019-Jan-10 at 13:08

Alpha channel is useful when your image has transparency, but here you manually add an alpha channel by converting. This channel could be used to store computation but I think you would lose performance. I suggest the following function for blend_transparent:

Source https://stackoverflow.com/questions/54126186

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

Vulnerabilities

No vulnerabilities reported

Install Python-Multiple-Image-Stitching

You can download it from GitHub.
You can use Python-Multiple-Image-Stitching 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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