I got a chance to look at definition files for a new set of vision NNs which I understand to be the ones which are going out in 2018.10.4. I’m going to summarize the differences here. For background on what I found in earlier networks (2017.28, 2017.34, and 2017.44) please see this post from last November: Neural Networks
Cameras
I’ve seen three new networks which I’m going to refer to as main, fisheye, and repeater. These names come from filenames used for the network definitions as well as from variable names used inside the networks. I believe main is used for both the main and narrow forward facing cameras, that fisheye is used for the wide angle forward facing camera, and that repeater is used for both of the repeater cameras.
Overview
These network definition files that I’m talking about are used to describe how the ‘neurons’ in a neural network are arranged and interconnected – the network architecture. This architecture defines the inputs and outputs for the network and the shape of the tensors (the data) that flow through the network. By comparing the architecture to other well known networks it’s possible to understand what kind of processing is occurring, how the network is being trained, what kind of performance is possible, how much data of what kind is needed to train the network, and how much computer power is required to run the network.