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batchku

i write with an announcement and an invitation:

ml-lib is a library of machine learning externals for Max and Pure Data. ml-lib is primarily based on the Gesture Recognition Toolkit by Nick Gillian ml-lib is designed to work on a variety of platforms including OS X, Windows, Linux, on Intel and ARM architectures.

in other words: we've ported a range of machine learning algorithms (including svm, mlp, knn, hmm, hmm, dtw, ...) to Max and Pd (including ARM/RPi). these libraries allow you to work with complex mappings in a dramatically more powerful ways than scaling and interpolation approaches.

you'll find an uber powerful example here:

documentation for this library is week; the svm, dtw and mlp help patches have some useful things in them; many others don't. i'm calling out to those who are interested in mapping, appreciate machine learning, and are up for helping us help the max community step up how we deal with "meaningless numbers"--as David Z put it years back--in Max.

 for specific bug reports or requests. Please don't hesitate to contact me if you have any questions or requests (batchku AT gee mail point com)

2015 New Interfaces for Musical Expression Conference

-we now have a discussion list for ml.lib 

hello max list,
it's been years.
i write with an announcement and an invitation:

ANNOUNCEMENT:ml.lib:
ml-lib is a library of machine learning externals for Max and Pure Data. ml-lib is primarily based on the Gesture Recognition Toolkit by Nick Gillian ml-lib is designed to work on a variety of platforms including OS X, Windows, Linux, on Intel and ARM architectures. 

in other words: we've ported a range of machine learning algorithms (including svm, mlp, knn, hmm, hmm, dtw, ...) to Max and Pd (including ARM/RPi).  these libraries allow you to work with complex mappings in a dramatically more powerful ways than scaling and interpolation approaches.

you'll find some example videos here:
http://artfab.art.cmu.edu/?p=2747

you'll find an uber powerful example here:
http://artfab.art.cmu.edu/?p=2732

INVITATION:
documentation for this library is week; the svm, dtw and mlp help patches have some useful things in them; many others don't.  i'm calling out to those who are interested in mapping, appreciate machine learning, and are up for helping us help the max community step up how we deal with "meaningless numbers"--as David Z put it years back--in Max.

Please use the github issue tracker for specific bug reports or requests.  Please don't hesitate to contact me if you have any questions or requests (batchku AT gee mail point com)

UPDATE (June 5, 2015):
-we presented a paper on ml.lib at the 2015 New Interfaces for Musical Expression Conference; Check it out for more details
-please post all bug reports on our GitHub Issue Tracker
-we now have a discussion list for ml.lib here

machine-learning-in-max-hallelujah

Hi, This looks like an exciting library and i want to try it. I downloaded the folder, but I can't seem to find any max externals other than the help files. Are they hidden in some folder that I'm missing? 

Download the latest "release" which includes binaries:

https://github.com/cmuartfab/ml-lib/releases


this is super exciting. won't be able to delve in too deep until the semester is over but after that, it's on.


fantastic act of generosity to the max community; opens up a whole new world of possibilities for max users;


I have to chime in too; while I also have limited time in which to explore and learn from this, the video of Makoto Ono using this with Duplo blocks is astounding. Great work and thanks for sharing.


Alas, I am absolutely too dumb to use this without parental assistance, hehe.


Finally getting around to looking at this and it seems quite powerful, but being a noob to machine learning/neural network stuff, I have no idea which algorithms to use where.

For example, if I want to be able to recall gestures made with an x/y analog control on a gamepad, what algorithm should I look at? I had a look at the videos in the link above, but all of what I saw was based around the recognition of static positions, and nothing time based. I'd want to be able to train gestures like (doing a full circle or half circle), which happen in the time domain.


hello rodrigo,
thanks for looking at these.
nick gillian (author of the 'gesture recognition toolkit') which we've ported to max/pd has a very extensive documentation website; look at this hyperlink list of algorithms:

http://www.nickgillian.com/software/grt#MachineLearningAlgorithms

for each algorithm, he actually lists advantages and disadvantages in very readable language. for example: 

http://www.nickgillian.com/wiki/pmwiki.php?n=GRT.SVM

in these pages, he addresses the critical and valid questions of "i have this" and "i want this" pretty well.    jaime and i are currently working on a paper on ml.lib intended for submission to the NIME conference which will also pull together additional references and documentation; this should also help.

in the mean time, for your specific case of "an x/y analog control on a gamepad", you should look at the Dynamic Time Warping algorithm (in our world, it's ml.dtw). luckily it's one of the ones that actually has a decent help file (look in the "test" patcher for an example). it should give you a pretty good classification of various gestures performed if you send your x-y as a 2d feature vector.  note that dtw will give you a classification when it has one; as you proceed thru the gesture, that classification may change (two gestures may have similar starts but become more distinguishable later). also, dtw will do a very good job of classifying correctly even if the gesture is performed more quickly or slowly in subsequent takes.

i hope this helps and give us a shout if it doesn't.

good work and thanks for sharing it.
However I tried to install the binaries and Max crashes as soon as I try to declare any ml. object in my patch.

I'm running OSX 10.7.5 and Max 6.1.8. Is my system too outdated to run your library? If yes which are the minimum system requirements?

I've tried to re build the binaries but it did not work (mostly extern C include files not found). I tried to dig into it (quickly updating all the header path for my system) but it did not work. On my system I've installed MaxSDK-6.1.1, while your project file uses MaxSDK-6.1.4. Do you think that could be the cause?

Below the crash report (pretty identical for all ml. objects)

Process:         Max [1377]
Path:            /Applications/Max 6.1/Max.app/Contents/MacOS/Max
Identifier:      com.cycling74.Max
Version:         6.1.8 [9fafea6] (6.1.8)
Code Type:       X86 (Native)
Parent Process:  launchd [254]

Date/Time:       2015-01-05 11:49:53.993 +0800
OS Version:      Mac OS X 10.7.5 (11G63)
Report Version:  9

Interval Since Last Report:          908043 sec
Crashes Since Last Report:           29
Per-App Interval Since Last Report:  262077 sec
Per-App Crashes Since Last Report:   13
Anonymous UUID:                      C60E9FF5-8D9B-45E7-A7FB-A92D9A45B2A8

Crashed Thread:  0  Dispatch queue: com.apple.main-thread

Exception Type:  EXC_BAD_ACCESS (SIGSEGV)
Exception Codes: KERN_INVALID_ADDRESS at 0x000000005723d2e0

VM Regions Near 0x5723d2e0:
    __LINKEDIT             000000000fe98000-000000000fef1000 [  356K] r--/rwx SM=COW  /Applications/Max 6.1/*/*.dtw
-->
    __TEXT                 000000008fe26000-000000008fe59000 [  204K] r-x/rwx SM=COW  /usr/lib/dyld

Application Specific Information:
objc[1377]: garbage collection is OFF

Thread 0 Crashed:: Dispatch queue: com.apple.main-thread
0   com.cycling74.Max             	0x00034400 c74_debug_malloc_footer_test + 131
1   com.cycling74.Max             	0x00034461 sysmem_freeptr_imp + 54
2   com.cycling74.MaxAPI          	0x00b7e6b0 sysmem_freeptr + 32
3   edu.cmu.ml.dtw                	0x0fe2a690 flext_root_single_d::operator delete(void*) + 208
4   edu.cmu.ml.dtw                	0x0fe05245 operator delete(void*) + 21
5   edu.cmu.ml.dtw                	0x0fe58f23 GRT::Log::setProceedingText(std::__1::basic_string, std::__1::allocator > const&) + 99
6   edu.cmu.ml.dtw                	0x0fe66f5b GRT::DebugLog::DebugLog(std::__1::basic_string, std::__1::allocator >) + 155
7   edu.cmu.ml.dtw                	0x0fe7150f GRT::UnlabelledData::UnlabelledData(unsigned int, std::__1::basic_string, std::__1::allocator >, std::__1::basic_string, std::__1::allocator >) + 207
8   edu.cmu.ml.dtw                	0x0fe0ccb0 ml::ml::ml() + 448
9   edu.cmu.ml.dtw                	0x0fe01627 ml::ml_classification::ml_classification() + 39
10  edu.cmu.ml.dtw                	0x0fe0c5a7 ml::ml_dtw::ml_dtw() + 39
11  edu.cmu.ml.dtw                	0x0fe0b867 ml::ml_dtw::ml_dtw() + 23
12  edu.cmu.ml.dtw                	0x0fe0b533 ml::ml_dtw::__init__(int, atom*) + 51
13  edu.cmu.ml.dtw                	0x0fe1ced5 flext_obj_single_d::obj_new(symbol const*, short, atom*) + 1829
14  com.cycling74.Max             	0x0001f9ea typedmess_fun + 70
15  com.cycling74.Max             	0x000caf22 object_new_typed_flags + 399
16  com.cycling74.Max             	0x000caf5c object_new_typed + 46
17  com.cycling74.Max             	0x0000db99 auxtable_search + 128
18  com.cycling74.Max             	0x0000f454 newload_internal + 102
19  com.cycling74.Max             	0x0000f85c newload + 47
20  com.cycling74.Max             	0x0001f9ea typedmess_fun + 70
21  com.cycling74.Max             	0x0001fcc1 typedmess + 68
22  com.cycling74.Max             	0x00020af5 aeval + 1437
23  com.cycling74.Max             	0x00004d31 atombuf_eval + 138
24  com.cycling74.Max             	0x0018e1eb jnewobj_new + 2633
25  com.cycling74.Max             	0x0001f9ea typedmess_fun + 70
26  com.cycling74.Max             	0x000caed1 object_new_typed_flags + 318
27  com.cycling74.Max             	0x000caf5c object_new_typed + 46
28  com.cycling74.Max             	0x001acde1 jpatcher_newobject + 394
29  com.cycling74.Max             	0x001af553 jpatcher_pastefromdictionary + 805
30  com.cycling74.Max             	0x001afd01 jpatcher_replace + 1593
31  com.cycling74.Max             	0x000c89e8 object_method_typedfun + 132
32  com.cycling74.Max             	0x000c8b5b object_method_typed + 177
33  com.cycling74.Max             	0x00134f92 jbox_swapme + 125
34  com.cycling74.Max             	0x0018d4bb jnewobj_enter + 1530
35  com.cycling74.Max             	0x000c8fd7 object_method_imp + 821
36  com.cycling74.Max             	0x000c9270 object_method + 143
37  com.cycling74.Max             	0x001c1108 jpatchercontroller_entertext_imp + 249
38  com.cycling74.Max             	0x001c12ab jpatchercontroller_entertext + 213
39  com.cycling74.Max             	0x0011c12b TextfieldComponent::endEdit() + 407
40  com.cycling74.Max             	0x0011c2fc BoxComponent::endEdit() + 112
41  com.cycling74.Max             	0x0011df57 TextfieldTextEditor::keyPressed(juce::KeyPress const&) + 949
42  com.cycling74.Max             	0x003e06db juce::ComponentPeer::handleKeyPress(int, wchar_t, bool, int) + 323
43  com.cycling74.Max             	0x0046b971 juce::NSViewComponentPeer::handleKeyEvent(NSEvent*, bool) + 461
44  com.cycling74.Max             	0x0046bacf juce::NSViewComponentPeer::redirectKeyDown(NSEvent*) + 57
45  com.cycling74.Max             	0x004657cf -[JuceNSView_1_52_105_3 keyDown:] + 157
46  com.apple.AppKit              	0x9af40aeb -[NSWindow sendEvent:] + 10891
47  com.apple.AppKit              	0x9aed8f77 -[NSApplication sendEvent:] + 4788
48  com.apple.AppKit              	0x9ae6ab21 -[NSApplication run] + 1007
49  com.cycling74.Max             	0x004689e7 juce::MessageManager::runDispatchLoop() + 731
50  com.cycling74.Max             	0x0032a8e4 juce::JUCEApplication::main(juce::StringArray const&) + 68
51  com.cycling74.Max             	0x0032aa07 juce::JUCEApplication::main(int, char const**) + 73
52  com.cycling74.Max             	0x002525a6 main + 486
53  com.cycling74.Max             	0x000025c9 _start + 208
54  com.cycling74.Max             	0x000024f8 start + 40


On Monday, January 5, 2015, Cycling 74  wrote:
Stefano Fasciani wrote:

I'm running OSX 10.7.5 and Max 6.1.8. Is my system too outdated to run your library?

If yes which are the minimum system requirements?

They have only been tested on 10.8 and above.

I have tested the objects with Max 7 as well; they load but I noticed something wonky in the performance; I only tested ml.svm and very briefly; I noticed that while it worked, it slowed down the GUI terribly. Disconcerting, but as max 7 is so fresh, we haven't looked into it further.

The crashlog indicates that the GRT lib is doing something to trash memory, apparently in the DebugLog or Log constructor while calling setProceedingText() [sic]. How exactly flext's delete operator is being called is a little hard to determine, though, so the callstack might not be accurate.

Someone fwd this library to Autechre. I want to hear what they can do with it.


Hey guys, congrats on the release. It looks really awesome! I've not had any problems so far, except a little bit of trouble with dtw (0.16.0-alpha, Max7, OSX 10.10.1). 

It seems the maxhelp file is giving slightly misleading instructions. 

maxhelp suggests:
0. clear
1. Record on
2. Sample ONE
3. Sample TWO
4. Train
5. Record OFF
6. Test ONE
7. Test TWO

That doesn't work. What does work is:
0. Clear
1. Record Gesture ONE:
   * Record ON
   * Sample ONE
   * Record OFF
2. Record Gesture TWO:
   * Record ON
   * Sample TWO
   * Record OFF
3. Train
4. Test Gesture ONE:
   * Record ON
   * Test ONE
   * Record OFF
5. Test Gesture TWO:
   * Record ON
   * Test TWO
   * Record OFF

When I do the above, it detects the different signals correctly, which is great. I tried to train it with phone accelerometer (3d) signals, e.g. rotating clockwise vs counterclockwise around various different axis. And that works too - but only if I start the 'record' action immediately before the gesture and 'stop' it immediately after. Which I can kind of understand why (I guess it needs to know exactly which buffer / sequence to look at and map). But that makes it a bit impractical for gesture detection in the long run. Is there an intelligent way to automagically start and stop the record so that I can keep doing gestures and it will keep detecting them without me manually start/stopping the record? (e.g. I could use a timer, but that isn't very smart. Or Maybe if it detects a gesture with a very high confidence, or has extremely low confidence, it could reset?)


Noticed you just got a paper published on this work at NIME 2015 - congrats, that's awesome.
Just thought you might like to know that your externals are already being used at the core of a project my company started which is a VR flying simulator called Airflow. We're using the SVM to take in software joint data from an incomplete IMU-based full body motion capture control rig whose payload is being piped into Max as a blob of OSC floats.

Check it out:
https://www.youtube.com/watch?v=KJyNSaZMWNI // More info available on my website here.

I was also wondering if you could give me an ETA on a Windows build for the Max externals? The rig running this ride is currently three computers, two Windows machines and a Mac. The only reason we're still using the Mac is because the Windows versions of ml-lib don't exist yet... we could collapse it down to just one VR rendering machine and one machine that does everything else, once that's in place.

I'm thinking of giving it a stab myself, building against the Max 6 SDK in VS Express, over the next couple of weeks. I'll fork and give you a link if that happens. Since we're all Max users here, I know that things happen in opposite land, so new additions get built in OS X first and then Windows much later... so I get it if it's not a priority until you reach 1.0.


Hello there,
thank you for this wonderful reference.
the paper was presented and is now on the NIME site: https://nime2015.lsu.edu/proceedings/201/0201-paper.pdf

We'll be putting a small site together to keep track of projects made with ml.lib for others to see.

That's cool, thanks for including our project (eventually)!

I edited my post quite a lot after you read it I think, can you get back to me re: Windows etc?

Is it me or are all pages (except the github) down?

I'm able to find this page via home to the artfab homepage, but there's next to nothing on it.
http://artfab.art.cmu.edu/?page_id=2520


Hello Rodrigo,
I just tried the github link on the artfab page and it works fine for me:
https://github.com/cmuartfab/ml-lib

the latest binaries are here:
https://github.com/cmuartfab/ml-lib/releases

i updated the original post in this thread to also include links to the paper just presented at NIME 2015 on this topic.

please feel free to contact me off the forum if you'd like more help.

The github stuff works, but I was trying to look at the project page and example videos (http://artfab.art.cmu.edu/ml-lib/).


MaxMSP Forum