[nickledave]

In case anyone is interested, I'm developing a Python/Tensorflow-based open source project, vak, that annotates birdsong, similar to what Deepsqueak does: https://github.com/NickleDave/vak

(DeepSqueak runs in Matlab.)

We've also developed a neural net architecture which we find gives low error across individuals and is much more lightweight than Faster-RCNN, the net that Deepsqueak uses under the hood: https://github.com/yardencsGitHub/tweetynet/

I've tried to make it so that any net (even Faster-RCNN) can be used with vak and I've built tools so it works with multiple audio and annotation formats (https://github.com/NickleDave/crowsetta).

We're finally about to submit a paper on this, thought I'd share here now case anyone is interested in contributing to the library in the future.

(edit for clarity)