Version 0.0.1 (October 27, 2020)#

Created initial package Panel-Segmentation for public release.

Documentation#

  • Add Sphinx documentation.

  • Add commenting for each of the functions in the package.

  • Add example Jupyter notebooks for panel detection and training the classifier and segmentation models.

Scripts#

  • Add PanelDetection class, where the user can generate a satellite image and run it through the pre-generated models.

  • Add TrainPanelSegmentationModel() class, where the user can independently train segmentation and classifier models.

  • Add unit testing for the PanelDetection() and TrainPanelSegmentationModel() classes, stored in the /tests/ folder. The pytest package was used.

Bug Fixes#

Other Changes#

  • Add versioneer and setup scripts to perform pip installs of the package.