frame

Howdy, Stranger!

It looks like you're new here. If you want to get involved, click one of these buttons!

Sign In

Howdy, Stranger!

It looks like you're new here. If you want to get involved, click one of these buttons!

Analysis of an image classifier created by MVNCS

Goodmorning

I'm creating an image classifier using Raspberry Pi3 and a MovidiusNCS.
For the first steps, i've largely followed this guide: https://movidius.github.io/blog/ncs-image-classifier/

After i've created (and fixed) the program in Python3, i wanted to push myself over:
- automatic classification of a small custom database of images (done)
- read and analyze memory usage (RAM and CPU) or even more stats from MovidiusNCS and Raspberry to confront them
- create a new custom net dedicated to do security and video recording
- doing detect+tracking using my Raspberry+MovidiusNCS

At the moment i'm blocked on the second step: there are some build-in commands or Python3 (using mvnc library) code lines to read and register stats from the MVNCS?
You know some other way to do this thing?

Actually i'm using standard memory usage function like this ones but i don't think them can solve my problem...basically because i need to distinguish the work from Raspberry from the one done by MVNCS:

                            CPU_Pct=str(round(float(os.popen('''grep 'cpu ' /proc/stat | awk '{usage=($2+$4)*100/($2+$4+$5)} END {print usage }' ''').readline()),2))

                            tot_m, used_m, free_m = map(int, os.popen('free -t -m').readlines()[-1].split()[1:])

Sorry for my english and explanations, i'm a real newbie on this things
Thanks for help and support

Comments

Sign In or Register to comment.