Oplab-pipeline

Latest version: v1.1.5

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1.1.0

- [mission.yaml] Update mission.yaml definition to support records_laser field in camera nodes, but no longer have type and bit_depth fields, as this information is already contained in correct_images.yaml
- [auv_nav] Add support for payload node to generate poses for sensors mounted to AUV
- [auv_nav] Improve output to terminal
- [correct_images] Update correct_images.yaml definition to allow for different altitude filters in parse and processed
- [correct_images] Fix issue where memmaps were not deleted after use
- [correct_images] Fix issue where correct_images process could not be run without force (-F) flag
- [correct_images] Fix issue where processed folders were generated in parse mode
- [Dockerfile] Fix issue that caused it to be unable to determine the version of oplab_pipeline

0.1.11

- [auv_nav] Add support for ALR data
- [auv_nav] Increase number of parameters that can be set: different uncertainties (stdev) for x, y and z velocities, Mahalanobis distance threshold and (de)activating of Kalman smoother (via auv_nav.yaml), as well as verbosity (via CLI)
- [auv_nav] Generate plots of EKF / EKS processed positions, orientatiions and velocities with unvertainties (stdev) against time. Plot rejected sensor measurements.
- [auv_nav] Change EKF to use sensor measurements at timestamps when they were recorder instead of using interpolated values
- [auv_nav] Compute relative postion / angular uncertainty between 2 points
- First dockerfile and singularity definition files released.

0.1.10

- Improve support for NTNU data
- [correct_images] Add support for BioCam4000_15C

0.1.9

- Add NTNU ROV parser (incl. EIVA Navipac)

0.1.8

- Add GitHub Actions CI
- correct_images now saves gains and attenuation parameter plots

0.1.7

- auv_nav convert has been renamed to auv_nav export and import
- hybis format is not supported as import
- Improved correct_images processing pipeline to use less hard drive and RAM.

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