opencv-fisheye-undistortion | OpenCV camera calibration and image undistortion | Computer Vision library
kandi X-RAY | opencv-fisheye-undistortion Summary
kandi X-RAY | opencv-fisheye-undistortion Summary
opencv-fisheye-undistortion is a Python library typically used in Telecommunications, Media, Media, Entertainment, Artificial Intelligence, Computer Vision, OpenCV applications. opencv-fisheye-undistortion has no bugs, it has no vulnerabilities and it has low support. However opencv-fisheye-undistortion build file is not available. You can download it from GitHub.
OpenCV camera calibration and image undistortion.
OpenCV camera calibration and image undistortion.
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opencv-fisheye-undistortion has a low active ecosystem.
It has 25 star(s) with 14 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
opencv-fisheye-undistortion has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of opencv-fisheye-undistortion is current.
Quality
opencv-fisheye-undistortion has 0 bugs and 2 code smells.
Security
opencv-fisheye-undistortion has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
opencv-fisheye-undistortion code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
opencv-fisheye-undistortion 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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opencv-fisheye-undistortion releases are not available. You will need to build from source code and install.
opencv-fisheye-undistortion has no build file. You will be need to create the build yourself to build the component from source.
It has 124 lines of code, 0 functions and 2 files.
It has low code complexity. Code complexity directly impacts maintainability of the code.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of opencv-fisheye-undistortion
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of opencv-fisheye-undistortion
opencv-fisheye-undistortion Key Features
No Key Features are available at this moment for opencv-fisheye-undistortion.
opencv-fisheye-undistortion Examples and Code Snippets
No Code Snippets are available at this moment for opencv-fisheye-undistortion.
Community Discussions
Trending Discussions on opencv-fisheye-undistortion
QUESTION
OpenCV - Fisheye Calibration Values (Reuse values saved in JSON file)
Asked 2019-Sep-12 at 02:57
I have calibrated my fisheye cameras getting the new matrix and parameters. I have saved them in a JSON file. Now I have problems reusing the JSON file again to calibrate my camera.
Referred from https://github.com/mesutpiskin/opencv-fisheye-undistortion/blob/master/src/python/fisheye_calibration_undistortion.py
...ANSWER
Answered 2019-Sep-12 at 02:57dim1 = tuple(data["dim3"]) K = np.array(data["K"])
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install opencv-fisheye-undistortion
You can download it from GitHub.
You can use opencv-fisheye-undistortion 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.
You can use opencv-fisheye-undistortion 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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