# cv_utils
Miscellaneous utilities for working with camera data:
Utilities for working with images and videos (many of which use OpenCV “under the hood”)
Functions which support basic visualization of image and object points
Functions which support camera calibration using OpenCV and/or COLMAP
## Task list
Add option to project_points() to include points that are projected inside the frame with distortion but just outside the frame without
Integrate (Docker-based?) version of OpenCV which supports proprietary codecs (primarily mp4)
Consider implementing additional objects/classes (e.g., Camera)
Move Wildflower-specific functionality into separate package
Add additional functions so we can eliminate OpenCV as dependency for wf-process-pose_data, wf-video-io, wf-camera-calibration, etc.
Implement more performant replacement for cv.triangulatePoints()
Augment drawing functions so they can handle multiple objects, Nan values, etc.
Get ride of unused/buggy functions in core
Clean up color conversion helper functions (use OpenCV functions?)
Move 3D projection code into its own submodule
Convert drawing functions in core to object-oriented Matplotlib interface?
Convert drawing functions in core to OpenCV drawing API?
Fix comments in generate_camera_pose() (currently describes yaw inaccurately)
Clean up handling of coordinates (shouldn’t OpenCV accept numpy arrays?)
Clean up handling of large integer coordinates
Metadata
Release files for wf-cv-utils 3.6.3
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| wf-cv-utils-3.6.3.tar.gz | 23.5 kB | Details |
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| wf_cv_utils-3.6.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 48.9 kB
Release files / wf-cv-utils-3.6.3.tar.gz
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