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bnn's Introduction

BNN v2

unet style image translation from image of hive entrance to bitmap of location of center of bees.

trained in a semi supervised way on a desktop gpu and deployed to run in real time on the hive using either a raspberry pi using a neural compute stick or a je vois embedded smart camera

see this blog post for more info..

here's an example of predicting bee position on some held out data. the majority of examples trained had ~10 bees per image.

rgb_labels_predictions.png

the ability to locate each bee means you can summarise with a count. note the spike around 4pm when the bees at this time of year come back to base.

counts_over_days.png

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