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VVVV.Packs.MachineLearning (alpha)

Author: motzi
Date: 24 Apr, 2015
Category: pack
Credits:

motzi, César Souza, devvvvs, woei

Download

64bit

3-VVVV.Packs_.MachineLearning_x64_v0.1.2.zip
01 May, 2016 - 13:13
Added ZScores node and face expression recognition example, v0.1.2
2-VVVV.Packs_.MachineLearning_x86_v0.1.2.zip
01 May, 2016 - 13:13
Added ZScores node and face expression recognition example, v0.1.2
1-VVVV.Packs_.MachineLearning_x86_v0.1.zip
24 Apr, 2015 - 14:20
Initial Release (x86), v0.1
0-VVVV.Packs_.MachineLearning_x64_v0.1.zip
24 Apr, 2015 - 14:19
Initial Release (x64), v0.1

Description

This is a first release of the MachineLearning pack, bringing several methods of the field to VVVV, mostly by wrapping functionality from the great accord.net framework by César Souza.

Note: This is a first release which is still lacking most of the documentation and has not been heavily tested.

There is some girlpower though. Many of the features will be explained in the upcoming workshop at NODE15.

More detailed info to come...

Features

  • Naive Bayes Classifier
  • k-Nearest Neighbour Classifier
  • Kernel Support Vector Machines
  • Hidden Markov Models (and HMM classifiers)
  • k-Means clustering
  • Principal Component Analysis
  • Kernel Discriminant Analysis
  • Deep Belief Networks (experimental)
  • ...

Upcoming

  • source release

Comments

Comments are no longer accepted.
Please create a new topic in the vvvv beta forum to discuss this contribution.
tekcor
24 Apr, 2015 - 17:25

seriously amazing! What was your motivation to implement it? pure interest or something specific?

edit: and which vvvv bersion do you recommend for it?

motzi
25 Apr, 2015 - 09:33

most stuff i developed with alpha33.8 and did some tests with b33.7, which did not show any problems. earlier versions might work a well but are untested.

my motivation is a melange of personal interest in the field and some ideas i've been carrying around in my head for quite some time :)

499reality
11 May, 2015 - 10:32

really interesting.. thanks for this hard work

guest
14 May, 2015 - 22:46

Really good pack Motzi. Can you recommend somewhere I could go to understand the what is funamentally going on here so I could understand the application of my own datasets?

The many of us who were not able to make your Workshop would probably like to understand what is going on a little better. Not that there is anything wrong with the GP patches, they're laid out very clearly, but novices like me need some dumb love.

everyoneishappy
15 May, 2015 - 02:15

Looks amazing! Also really curious to know more. Of all the (many) workshops missed at NODE, I think this is one of the most regret inspiring for me :)

motzi
15 May, 2015 - 09:52

sorry for being sloppy on updating this - unfortunately lots of work had to be done right after node that kept me from doing this right away.

slides of the workshop and few more examples will follow asap.

Steryl
02 Jun, 2015 - 12:56

which patch did you use for the facial recognition example that you made in the workshop? I would like to try some things with it.

guest
08 Jul, 2015 - 16:10

More examples would be really great! Btw, the QueueStore turns red (does not exist in the current beta). Copied from the alpha addons, but it's not working bith beta 64.

isdzaurov
03 May, 2016 - 08:08

Hi and thank u motzi !

But why QueueStore node red?

joreg
03 Jun, 2016 - 09:57

hei @isdzaurov better use @motzi to get his attention..

motzi
09 Jun, 2016 - 11:08

@guest and @isdzaurov: hmm, i didn't notice this yet. i'll have a look at it soon...

motzi
09 Jun, 2016 - 13:05

@isdzaurov: i cannot reproduce the QueueStore turning red. can you give an example patch (maybe it's better to open a forum thread)

isdzaurov
21 Feb, 2017 - 09:10

Hi motzi

You will not prompt where example "face expression recognition example" ?

thanks

id144
21 Feb, 2017 - 10:22

@isdzaurov it is in x86 version vvvv_50beta35_x86\packs\VVVV.Packs.MachineLearning\girlpower\face_recognition.v4p

It is because FreeFrame FaceTracker lib used by the example is x86 only. I can imagine it's quite easy to replace it with Kinect HDFace and get much more compelling results.

michaelsed
29 Apr, 2018 - 20:35

Hi @motzi

Thank you for this very great contribution :)

Is there a chance that you will do a new workshop on how to make use of the Hiden Markov Model Trainer and the others present in the pack as you said by the end of this workshop: https://www.youtube.com/watch?v=XtYRMjJcrwA&t=6558s

motzi
04 May, 2018 - 15:28

hi @michaelsed,

thanks for your kind words. to be honest i did not get the success i was hoping for when doing body gesture recognition but there is room for further research. so at the moment i do not have a good data set to demonstrate how they could be applied successfully.

what do you have in mind to use it on?

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