Visual Wakewords on GAP8

Visual Wakewords on GAP8

In the latest GAP SDK, released on the 7th February 2020, we have included a GAPflow example that converts the winner of the Google Visual Wake Words challenge to a working model on GAP8. Visual Wake Words is Google’s term for a network trained for the binary classification task of detecting the presence or absence of a human in an image. Google provided a python script that relabels the well known MSCOCO dataset, which normally includes multiple classes of object with bounding boxes, with bina

1 mentions: @petewarden
Date: 2020/02/12 12:02

Referring Tweets

@petewarden Person detection for just 7 millijoules per frame, with @GreenwaveSys GAP8 ML accelerator!

Related Entries

Read more Converting a TensorFlow Lite .cc data array into a file on disk « Pete Warden's blog
0 users, 1 mentions 2020/02/28 00:19
Read more Getting Started with TinyML - Pete Warden - March 31, 2020 - tinyML Talks - tinyML Forums
0 users, 3 mentions 2020/03/25 02:59
Read more Deep Learning for Guitar Effect Emulation | Teddy Koker
1 users, 48 mentions 2020/05/10 00:00
Read more 1968 Demo Interactive - Doug Engelbart Institute
0 users, 9 mentions 2020/06/18 00:52
Read more Building AGI Using Language Models | Leo Gao
0 users, 18 mentions 2020/08/18 02:21