stereo_calibration | Stereo Camera Calibration using Python-OpenCV | Camera library

by bvnayak Python Version: Current License: No License

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

kandi X-RAY | stereo_calibration Summary

stereo_calibration is a Python library typically used in Video, Camera, OpenCV applications. stereo_calibration has no bugs, it has no vulnerabilities and it has low support. However stereo_calibration build file is not available. You can download it from GitHub.

Stereo Camera Calibration using Python-OpenCV

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stereo_calibration has a low active ecosystem.

It has 115 star(s) with 41 fork(s). There are 6 watchers for this library.

It had no major release in the last 6 months.

There are 6 open issues and 2 have been closed. On average issues are closed in 2 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of stereo_calibration is current.

Quality

stereo_calibration has 0 bugs and 0 code smells.

Security

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

stereo_calibration code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

stereo_calibration 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

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

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

Reads all the images in the given cal file
Calibrate stereo

Get all kandi verified functions for this library.

stereo_calibration Key Features

No Key Features are available at this moment for stereo_calibration.

stereo_calibration Examples and Code Snippets

No Code Snippets are available at this moment for stereo_calibration.

Community Discussions

Trending Discussions on stereo_calibration

Map an object from one image to another image using openCV and Python

QUESTION

Map an object from one image to another image using openCV and Python

Asked 2021-Apr-26 at 19:02

This is a problem concerning stereo calibration and rectification using openCV (vers. 4.5.1.48) and Python (vers. 3.8.5).

I have two cameras placed on the same axis as shown on the image below:

The left (upper) camera is taking pictures with 640x480 resolution, while the right (lower) camera is taking pictures with 320x240 resolution. The goal is to find an object on the right image (320x240) and crop out the same object on the left image (640x480). In other words; To transfer the rectangle that makes up the object in the right image, to the left image. This idea is sketched below.

A red object is found on the right image and I need to transfer it's location to left image and crop it out. The objects is placed on a flat plane 30cm from the camera lenses. In other words; The distance (depth) from the two cameras lenses to the flat plane is constant (30cm).

This main question is about how transfer a location from one image to another, when two cameras are placed side by side, when the images are of different resolutions and when the depth is (fairly) constant. It's not a question about finding objects.

To solve this problem, as far as I know, stereo calibration must be used, and I have found the following articles/code, among other things:

Below are an example of a calibration pattern that I used:

I have 25 photos of the calibration pattern with the left and right camera. The pattern is 5x9 and the square sizes is 40x40 mm.

Based on my knowledge, I have written the following code:

...

ANSWER

Answered 2021-Apr-26 at 19:02

I solved this problem by using the following openCV functions:

cv2.findChessboardCorners()
cv2.cornerSubPix()
cv2.findHomography()
cv2.warpPerspective()

I used the calibration plate at a distance of 30cm to calculate the perspective transformation matrix, H. Because of this, I can map an object from the right image to the left image. The depth has to be constant (30 cm) though, which is a bit problematic, but it is acceptable in my case.

Thanks to @Micka for the great answers.

Source https://stackoverflow.com/questions/67226475

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

Vulnerabilities

No vulnerabilities reported

Install stereo_calibration

You can download it from GitHub.
You can use stereo_calibration 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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