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Hi,
I'm currently testing OpenVino with NCS2
I'm following those instructions to compile squeezenet1.1 and I'm obtaining slightly different results between CPU, NCS1 and NCS2 devices.
Using the classification_sample application :
NCS1 :
classid probability ------- ----------- 817 0.8422852 511 0.0915527 479 0.0393982 751 0.0093536 436 0.0068550 656 0.0036659 586 0.0023270 717 0.0015497 864 0.0010500 581 0.0005631
NCS2 :
classid probability ------- ----------- 817 0.8295898 511 0.0961304 479 0.0439453 751 0.0101318 436 0.0074234 656 0.0042267 586 0.0029869 717 0.0018148 864 0.0013924 581 0.0006595
This is not monstrous but significant.
CPU :
classid probability ------- ----------- 817 0.8363345 511 0.0946488 479 0.0419131 751 0.0091071 436 0.0068161 656 0.0037564 586 0.0025741 717 0.0016069 864 0.0012027 581 0.0005882
I've tested on different networks and globally I have the sensation that NCS1 and CPU are quite similar, but NCS2 is significantly different.
Is it possible to have access to the error margin we should expect using NCS1 and NCS2 vs the original model before OpenVino conversion ?
Best,
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Dear julien_cl,
I'm sure you recognize that NCS1 and NCS2 are totally different hardware. OpenVino developers do not have this error margin data [for every single network and topology] readily handy to be able to produce for you. While we still support NCS1, NCS2 is the platform that we are recommending customers use for new applications. I'm afraid that experimentation (as you've done) is the only way to obtain such data.
Thanks for your patience and thank you for using OpenVino !
Shubha

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