The old error message was not giving any hint which input array (image) led to an ill conditioned matrix. This made it near impossible to identify poor images in a larger set. A better approach would be to implement a checker function which gives each image a rating before the real calibration is performed. This could also include some image properties like sharpness, etc. |
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| apps | ||
| cmake | ||
| data | ||
| doc | ||
| include | ||
| modules | ||
| platforms | ||
| samples | ||
| .gitattributes | ||
| .gitignore | ||
| .tgitconfig | ||
| CMakeLists.txt | ||
| CONTRIBUTING.md | ||
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| README.md | ||
OpenCV: Open Source Computer Vision Library
Resources
- Homepage: http://opencv.org
- Docs: http://docs.opencv.org/master/
- Q&A forum: http://answers.opencv.org
- Issue tracking: https://github.com/opencv/opencv/issues
Contributing
Please read before starting work on a pull request: https://github.com/opencv/opencv/wiki/How_to_contribute
Summary of guidelines:
- One pull request per issue;
- Choose the right base branch;
- Include tests and documentation;
- Clean up "oops" commits before submitting;
- Follow the coding style guide.