BerryNet – Deep Learning Gateway on Raspberry Pi

[revicon]

https://github.com/DT42/BerryNet

[nl]

YOLO, YOLO2 and YOLO9000 are pretty amazing pieces of work. Resnet variations gets more attention and wins more competitions, but in a lot of spaces YOLO* is much more useful.

It deals with all the practical issues of making image recognition fast and scaleable by making sensible tradeoffs.

[revicon]

The youtube video demonstration of video image recognition on YOLOv2's website is entertaining as well..

https://pjreddie.com/darknet/yolo/

[AndrewOMartin → revicon]

In that video when there's a shot of Judy Dench, YOLO recognises "Bench". So close, yet so far.

[sja]

Very fun! I'll have to spin this up and play around with it. Hopefully, I'll have 1.1.0 TensorFlow/Raspberry Pi binaries compiled and available by the end of the weekend.

One of the side-goals I've been meaning to make time for is training (or porting) a smaller CNN targeted to run closer to real time on the Raspberry Pi- I think a project like this would benefit from that.

[protomok → sja]

You might be interested in SqueezeNet - https://github.com/DeepScale/SqueezeNet, I imagine this would run quite fast even on the Raspberry Pi.