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This repository has been archived by the owner on Oct 31, 2022. It is now read-only.
The project is very cool, I have an idea to improve bnn v3 ( RGB -> Bee count ) and i would like to try it.
The Idea is using the trained v2 as base of v3, roughly i'm thinking of removing the softmax and argmax of v2 and adding classification layer, and maybe some skip connection from the bottleneck.
The text was updated successfully, but these errors were encountered:
On Tue, Jun 5, 2018, 17:51 Mustafa Ihssan A. Naji ***@***.***> wrote:
The project is very cool, I have an idea to improve bnn v3 ( RGB -> Bee
count ) and i would like to try it.
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There are two DB files with the first 100 or so images labelled. The images may be too close as I was wondering if it is possible to spot varroa with a picam. I scaled the images to a quarter of the size to speed up the labelling but if you want the full size images just let me know!
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The project is very cool, I have an idea to improve bnn v3 ( RGB -> Bee count ) and i would like to try it.
The Idea is using the trained v2 as base of v3, roughly i'm thinking of removing the softmax and argmax of v2 and adding classification layer, and maybe some skip connection from the bottleneck.
The text was updated successfully, but these errors were encountered: