I would in general like to see more support for different tensorflow ops. This would enable greater freedom in design of networks which would be really cool. :) Also more tutorials for maybe custom Networks. :)
Tutorials on getting new networks not already in the ncappzoo working on the sticks. Like DSOD - Densely Supervised Object Detectors. MobileNets-SSD is slow to train on Caffe. (and will remain until they start supporting an efficient Depthwise Separable Layer, in Caffe-SSD)
Please support Keras. I have everything setup with Keras in Ubuntu. I do not see particular reason to add Caffe in my system other than Movidius stick. Untill then example graph files that can be deployed in RPi would be appreciated.
I would like to try Yolo v2 and v3…
Release date for Movidius X ??? ( this year !? )
1) NCS kit in general is messy and loaded with Python dependencies. Straight C/C++ solutions would be best and a little python maybe for conversion / support.
2) install.sh just fails in so many ways on a vanilla clean install Ubuntu 16.04 - like it was never really tested.
3) find a way to enable a broader support community by open sourcing more tools (e.g. myriad compilers) and selecting a few outside partners to support smaller hobbyist / maker types.
4) get a partner program going - important to all of the above items
@Tome_at_Intel please merge outstanding pull requests and support the Github code! I just made a PR to fix a simple syntax bug, and I now see someone made the exact same pull request on the 27th Feb, 8 MONTHS ago, and it hasn't been merged!
I'm working on face recognition using MTCNN and Sphereface, and found that
(2.1 No demo for loading multi-graph in one ncs which should be a huge achievement in v2(sorry that I don't know the fifo is bound to the graph or the device? Could you give more details about the fifo?))
(2.2 plz try to support more and more layers that is normal in tf or caffe afap..thx.. orz.. )