TensorFlow Image Recognition on a Raspberry Pi
Inference times for inception-v3 on a Raspberry Pi have been benchmarked recently [1]. They weigh in at around 2s. If you remove the python layer it gets down to 500ms. However, it's not yet clear if the python overhead is the only reason for that.<p>Nvidia's Tegra X1 should supposedly be capable of <10ms for imagenet grade models [2]. It's fair to assume though, that this must be for trimmed down and/or 16bit models as compared to full inception models.<p>And finally, Sam who also facilitated building TF on the Pi is about to host a 6 weeks half theory, half practice course on TF and deep learning [3] (me thinks he deserves this plug).<p>[1] <a href="https://github.com/samjabrahams/tensorflow-on-raspberry-pi/tree/master/benchmarks/inceptionv3" rel="nofollow">https://github.com/samjabrahams/tensorflow-on-raspberry-pi/t...</a><p>[2] <a href="https://youtu.be/_4tzlXPQWb8?t=53m35s" rel="nofollow">https://youtu.be/_4tzlXPQWb8?t=53m35s</a><p>[3] <a href="https://www.thisismetis.com/deep-learning-with-tensorflow" rel="nofollow">https://www.thisismetis.com/deep-learning-with-tensorflow</a>