Toolchain for AUV dive processing, camera calibration and image correction
Project description
oplab_pipeline
oplab_pipeline is a python toolchain to process AUV dives from raw data into navigation and imaging products. The software is capable of:
- Process navigation: fuses AUV or ROV sensor data using state of the art filters and geolocalises recorded imagery.
- Camera and laser calibration: performs automatic calibration pattern detection to calibrate monocular or stereo cameras. Also calibrates laser sheets with respect to the cameras.
- Image correction: performs pixel-wise image corrections to enhance colour and contrast in underwater images.
Please review the latest changes in the CHANGELOG.md.
Installation
cd
into the oplab-pipeline folder and run pip3 install .
, resp. if you are using Anaconda run pip install .
from the Anaconda Prompt (Anaconda3).
This will make the commands auv_nav
, auv_cal
and correct_images
available in the terminal. For more details refer to the documentation.
Documentation
The documentation is hosted in read the docs.
Citation
If you use this software, please cite the following article:
Yamada, T, Prügel‐Bennett, A, Thornton, B. Learning features from georeferenced seafloor imagery with location guided autoencoders. J Field Robotics. 2020; 1– 16. https://doi.org/10.1002/rob.21961
License
Copyright (c) 2020, University of Southampton. All rights reserved.
Licensed under the BSD 3-Clause License. See LICENSE.md file in the project root for full license information.
Developers
Please document the code using Numpy Docstrings. If you are using VSCode, there is a useful extension that helps named Python Docstring Generator. Once installed, make sure you select Numpy documentation in the settings.
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