Nvidia Deep Learning Developer Kit Examined

Author: Brian Karas, Published on Apr 17, 2017

Can building a deep learning video analytics application be as easy as the typical VMS installation? Maybe not quite, but Nvidia is aiming to make it much easier with their developer kits and shared software libraries that can enable a decent linux user to have an analytics application up and running in a day.

At ISC West 2017, Nvidia hosted a 90 minute "hands on" development workshop featuring their development kits and examples on training the unit to classify various images and to identify objects in live video.

IPVM attended this workshop to better understand how Nvidia is approaching the surveillance market and promoting their products to manufacturers and integrators.

*** ******** * **** ******** ***** ********* *********** ** ** easy ** *** ******* *** ************? ***** *** *****, *** Nvidia ** ****** ** **** ** **** ****** **** ***** developer **** *** ****** ******** ********* **** *** ****** * decent ***** **** ** **** ** ********* *********** ** *** running ** * ***.

** *** **** ****, ****** ****** * ** ****** "***** on" *********** ******** ********* ***** *********** **** *** ******** ** training *** **** ** ******** ******* ****** *** ** ******** objects ** **** *****.

**** ******** **** ******** ** ****** ********** *** ****** ** approaching *** ************ ****** *** ********* ***** ******** ** ************* and ***********.

[***************]

Nvidia ********

****** ******** ~** ************ ********** *** ********** ****, ***** *****, ******* ****** *** **** ******'*"******" **** ******** ******** ********** *********.

********* **** *** ******* * ************ *** ****** ** ********* similar ** **** ** ******* ********'* ****** **** ******** ***** ******, ***** **** ********** ** ****-***** ******** ** ********** ************/**** learning.

Pre-Trained *******

*** **** ******* **** ***-****** **** ********* **** ******** ************** training, ***** ****** *** *** * ****** ** ****** ****** into * ******** *******, ** * ******* ********* ******** ** as ********** ********. *** ***** ******** ******* ** ********* *************** intensive *** *** **** ******** **** **** ** *****, ********* on *** ****** ** ****** ***** *** **** ** *** the ******** ********. *** ****** ** *** ******* ** * relatively ***** **** **** ******** * **** ** ********** ********* for **** ****** *** ****** *** **** ******* ** *********/********. These ***** *** ** *********** ** ***** ******* *******, **** as ***** ********* *** *** *********, ******** ***** ******* ** then ********* *** **** ******* ** ***** ****** ** ***** frames.

Image ************** ********

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Workshop *********

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Developer *** ********

*** ***** ********** ** ************* **** **** ********, ******'* ********* kits *** ****** ******** ******* * *** ** *** ******* without ********* ** ********* ********** ** ****** ******** *** ******* learning ***********. *******, *** ***** ***** **** *********** ********** ** time *** ********** ******** ** ******* ** ****** * ****** analytics *******/******** *** * ****-***** ***********. *****, ************* *** ************ of *** **************/******** *** ****** *********** ********* ***** ** ******* in ********** **** ****** *******-***** ******** *** ******** ************.

Deep ******** ***

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Nvidia ********* **** ** ********

**** ****** *** ******** *** **** **** **** ********* ********, it *********** ******'* ********* ***** ** **** ********* ** ********. The ******* ******* ~$**,*** ***** ** ********* **** *** **** for * ** ****** *******. ****** **** ********* * *********** portion ** ***** ***** ** ***** ********* **********, *** ****** ********* ************, ********* ****** ********** ** * ******* ** ******** ** an ******* ** ********* *** ********* ** ***** ********.

***** ********* *********/********************** **** ********* *** ******** ******, *** *** *** **** the **** ******** **** ****** *** ** *** ****. *******, much **** ***-***** *** *********** *** ***** **** ********* **** the ******* ****** ** * ******, *** *** *** ******** components ******, ** ******* ** ** **** ** ****** ********* spend ** *** ******** ******** **** ***** ********* ***** ** market ******.

More ** **** ********?

Comments (5)

Undisclosed #1

04/17/17 09:56pm

*********** *****. * ** ** ** *** * *********/*****, ** even * ********** ********* ***** ****, *** * ** **** the *********** ** **** ****** **** ****. ***** ***** *** Nvidia *** ******* ******** ** **** ******** **** ***/*** **** any ******** ** **** *****? ***** ** **** *'** **** on **** ** ***** **** ****** *** * *********** **** start.

Henry Detmold

In reply to Undisclosed #1 | 04/21/17 01:34am

****** ******* ***** ****-*********** ********* ** **** ***** *** ***** ago, ** **** ****** **** ******** *** ********** (** ** extent *** ************ ** *** ****** ******** ******* **** ******** to ** *******). ** **** **** ********** ** **** *****, marketing, ********. *** **** ******** ******** ** ****** ****** ********; it *** **** ** **** *** *** ******** ***** *** to ** ****** *** **** ** ************ (*** ***** *** others, *.*. "****** *** *******") *** *'* *** **** *****'* currently * **** ************* ** **** ***** ************ ***** **.

Luca Michielli

04/25/17 10:14am

* *** *** ********** ** *** **** *** ** *** min *******.. * **** ** *** **** ******* ***** ** in ******* *** *********** **** **** ******.

Andrew Hogendijk

04/26/17 01:02am

**** ******* **** ** *** **** **** **** **** ** demonstrate *** **-* ** *********? * ***** **** ** *** NVidia ******* ****'* ****** ********. ** ***** ** *********** ** reproduce ****.

Brian Karas

IPVM | In reply to Andrew Hogendijk | 04/26/17 01:39am

***, * ******* *** *** **** ** *********. ***'** **** to ****** ** * *********, *** **** *** ****** ** able ** *** ** **** ********* ******** ****.

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