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beelabhmc / flower_map

Automated flower species classification for generating honey-bee foraging maps
MIT License
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parallelized segmentation in the experimental strategy #6

Closed aryarm closed 4 years ago

aryarm commented 4 years ago

After finishing my thesis in May, I started work on a new version of the experimental strategy. Unlike the old version, this one would run the segmentation step in parallel for each drone image, making it much faster and more sensitive. It works by running a portion of the old segmentation script for each drone image and then running the rest of the segmentation step (ie the watershed algorithm) together for all of the drone images. The second portion of this (ie the watershed part) resolves conflicting plant shapes in an ensemble-like approach.

I also added training and testing steps to the pipeline. So users should be able to create their own trained models, test those models, or both. All they have to do is provide a truth dataset. Documentation for this is still forthcoming.

aryarm commented 4 years ago

ok, this needs to be merged now so documentation will come in a second pull request