Missing files

2020-09-21 11:06:30 +02:00 · 2020-09-21 11:06:30 +02:00 · 42f31b2d4a
parent 0cb5d947a6
commit 42f31b2d4a
25 changed files with 5806 additions and 46 deletions
--- a/README.md
+++ b/README.md
@ -33,11 +33,8 @@ Important : for best performance LJ is meant to run in a dedicated computer espe
 - Status update every 0.5 seconds : every etherdream DAC state, number of buffer points sent,...
 - "Optimisation" points automatically added, can be changed live for glitch art. Search "resampler" commands.
 - A compiled version for os x and linux of nannou.org etherdream+laser emulator is included. For more informations, like license see https://github.com/nannou-org/ether-dream
- Some fancy examples are available : 3D anaglyph, Laser Pong,...
- Midi and audio reactive, look midigen.py and fft3.py
- Webcam live face display (trckr). Openpose skeletons animations laser player.
+- Webcam live face display (trckr).
 - Resolume OSC client.
- Another project (bhorpad) has been merged in LJ : so if you have a led matrix, like Launchpad mini or bhoreal, plug it and you may define, launch macros as pushing on leds or use them to display informations.
 - Artnet receiver plugin, another possibity to script LJ.
 - Ableton link time synchro support.
 - Maxwell laser synth emulation plugin. Work in progress
@ -431,12 +428,13 @@ and second line (/line1 or /redline1). Examples of "uicommand arg" :

 ![LJ Display](https://www.teamlaser.tk/lj/images/display.png)

-Leds colors for each DACs
+Leds colors for each DACs :
+
+
+DAC IP is in LJ.conf but no connection to dac -> leds are red 

 DAC state "stt" :

-Laser not requested -> led is not lit
-
 IDLE -> blue

 PREPARE -> cyan
@ -445,13 +443,12 @@ PLAYING  -> green

 DAC answers (ack) :

-replied ACK -> green
+ACK -> green

-replied FULL -> orange
+FULL -> orange

-replied INVALID -> yellow
+INVALID -> yellow

-no connection to dac -> leds are red (6)


 ![LJ](http://www.teamlaser.tk/lj/images/calig.png)
--- a/libs3/launchpad.json
+++ b/libs3/launchpad.json
--- a/libs3/link.cpython-36m-x86_64-linux-gnu.so
+++ b/libs3/link.cpython-36m-x86_64-linux-gnu.so
--- a/plugins/aurora/live.py
+++ b/plugins/aurora/live.py
@ -0,0 +1,169 @@
+#!/usr/bin/python3
+# -*- coding: utf-8 -*-
+# -*- mode: Python -*-
+
+
+'''
+
+livecode
+v0.1.0
+
+Anaglyphed rotating livecode (for red and green glasses)
+
+This scene uses the drawing functions provided by LJ in lj23.py
+
+LICENCE : CC
+
+by Sam Neurohack
+
+
+'''
+#import sys
+#import os
+#from OSC3 import OSCServer, OSCClient, OSCMessage
+#import redis
+import math
+import time
+import numpy as np
+from scipy import signal
+from datetime import datetime, timedelta
+
+
+
+#
+# Math functions
+#
+
+
+def ssawtooth(samples,freq,phase):
+
+    samparray = [0] * samples
+    t = np.linspace(0+phase, 1+phase, samples)
+    for ww in range(samples):
+        samparray[ww] = signal.sawtooth(2 * np.pi * freq * t[ww])
+    return samparray
+
+def slivecode(samples,freq,phase):
+
+    samparray = [0] * samples
+    t = np.linspace(0+phase, 1+phase, samples)
+    for ww in range(samples):
+        samparray[ww] = signal.livecode(2 * np.pi * freq * t[ww])
+    return samparray
+
+def ssine(samples,freq,phase):
+
+    t = np.linspace(0+phase, 1+phase, samples)
+    for ww in range(samples):
+        samparray[ww] = np.sin(2 * np.pi * freq  * t[ww])
+    return samparray
+
+
+def slinear(samples, min, max):
+
+    samparray = [0] * samples
+    linearinc = (max-min)/samples
+    for ww in range(samples):
+        if ww == 0:
+            samparray[ww] = min
+        else:
+            samparray[ww] = samparray[ww-1] + linearinc
+    #print('linear min max', min, max)
+    #print ('linear',samparray)
+    return samparray
+
+def slinearound(samples, min, max):
+
+    samparray = [0] * samples
+    linearinc = (max-min)/samples
+    for ww in range(samples):
+        if ww == 0:
+            samparray[ww] = round(min)
+        else:
+            samparray[ww] = round(samparray[ww-1] + linearinc)
+    #print('linear min max', min, max)
+    #print ('linear',samparray)
+    return samparray
+
+
+# * 11.27 : to get value from 0 to 127
+def lin2squrt(value):
+    return round(np.sqrt(value)*11.27)
+     
+def squrt2lin(value):
+    return round(np.livecode(value/11.27))
+
+
+def curved(value):
+    return round(np.sqrt(value)*11.27)
+
+
+def Proj(x,y,z,angleX,angleY,angleZ):
+
+        rad = angleX * math.pi / 180
+        cosa = math.cos(rad)
+        sina = math.sin(rad)
+        y2 = y
+        y = y2 * cosa - z * sina
+        z = y2 * sina + z * cosa
+        
+        rad = angleY * math.pi / 180
+        cosa = math.cos(rad)
+        sina = math.sin(rad)
+        z2 = z
+        z = z2 * cosa - x * sina
+        x = z2 * sina + x * cosa
+
+        rad = angleZ * math.pi / 180
+        cosa = math.cos(rad)
+        sina = math.sin(rad)
+        x2 = x
+        x = x2 * cosa - y * sina
+        y = x2 * sina + y * cosa
+
+
+        """ Transforms this 3D point to 2D using a perspective projection. """
+        factor = fov / (viewer_distance + z)
+        x = x * factor + centerX
+        y = - y * factor + centerY
+        return (x,y)
+
+
+#
+# Main 
+#
+
+
+x0 = 200
+y0 = 200
+
+
+anglepos = 0
+startime = datetime.now()
+z = 0
+
+
+def Code(LAY):
+
+    dots = []   
+    xcenter = math.sin(math.radians(anglepos))
+    ycenter = math.cos(math.radians(anglepos))
+
+    if anglepos + 1 < 361:
+        anglepos += 1
+    else:
+        anglepos = 0
+
+    for angle in slinear(20, 0, 380):
+    #for counter in range(0,380):
+
+        t = timedelta.total_seconds(datetime.now() - startime)
+        x = math.sin(math.radians(angle))
+        y = math.cos(math.radians(angle))
+        dots.append(Proj(x,y,z,0,math.sin(math.radians(angle)),0))
+
+    # lj.PolyLineOneColor(Form, c = Liveform.color , layer = Liveform.layer, closed = Liveform.closed)
+    lj.rPolyLineOneColor(dots,  c = LAY['color'], layer = LAY['number'], closed = False, xpos = xcenter * x0, ypos = ycenter * y0, resize = 1, rotx = math.sin(math.radians(angle)), roty = 0 , rotz = math.sin(math.radians(angle)))
+
+
+
--- a/server/install.sh
+++ b/server/install.sh
@ -1,17 +1,18 @@
 #!/bin/bash
 sudo apt upgrade
-sudo apt install htop
-sudo apt install syncthing
-#sudo apt install python-pip 
 sudo apt install python3-pip 
-sudo apt install git
 sudo apt install redis-server
-sudo apt install screen 
-sudo apt install tmux
-#pip install numpy
-#pip install scipy
-#pip install python-rtmidi
-#pip install mido
+# for dedicated computer after fresh linux install. todo : ask if needed. 
+#sudo apt install git
+#sudo apt install syncthing
+#sudo apt install htop
+#sudo apt install screen 
+#sudo apt install tmux
+#sudo apt install nginx
+#sudo apt install supervisor  
+#sudo apt install ssh
+# todo one day : modify correct path in syncthing.conf
+#sudo cp syncthing.conf to /etc/supervisor/conf.d/
 pip3 install scipy
 pip3 install numpy
 #pip install pygame==1.9.2
@ -23,11 +24,8 @@ sudo apt install libasound2-dev
 sudo apt install libjack-dev
 pip3 install python-rtmidi 
 pip3 install mido
-sudo apt install nginx
-sudo apt install supervisor  
-sudo apt install ssh
-sudo cp syncthing.conf to /etc/supervisor/conf.d/
 git clone https://github.com/ptone/pyosc --depth 1 /tmp/pyosc && cd /tmp/pyosc && sudo ./setup.py install 
+# todo : ask for computer ip and run updateUI.py
 cd /tmp
 sudo apt install portaudio19-dev
 sudo apt install cmake
--- a/server/install.sh.darwin
+++ b/server/install.sh.darwin
@ -0,0 +1,66 @@
+#!/bin/bash
+brew upgrade
+brew install htop
+#brew install syncthing
+#brew install python-pip 
+brew install python3-pip 
+brew install git
+brew install redis
+brew install screen 
+brew install tmux
+#pip install numpy
+#pip install scipy
+#pip install python-rtmidi
+#pip install mido
+pip3 install scipy
+pip3 install numpy
+#pip install pygame==1.9.2
+#pip3 install pygame==1.9.2
+pip3 install redis
+pip3 install pysimpledmx 
+pip3 install DMXEnttecPro
+#brew install libasound2-dev
+#brew install libjack-dev
+pip3 install python-rtmidi 
+pip3 install mido
+#brew install nginx
+#brew install supervisor  
+
+#sudo cp syncthing.conf to /etc/supervisor/conf.d/
+git clone https://github.com/ptone/pyosc --depth 1 /tmp/pyosc && cd /tmp/pyosc && sudo ./setup.py install 
+cd /tmp
+brew install portaudio19-dev
+brew install cmake
+git clone https://github.com/Ableton/link.git
+cd link
+git submodule update --init --recursive
+mkdir build
+cd build
+cmake ..
+cmake --build .
+
+
+#
+# Ableton link 
+#
+
+
+cd /tmp/
+git clone --recursive https://github.com/gonzaloflirt/link-python.git
+cd link-python
+mkdir build
+cd build
+cmake ..
+
+# After cmake.. to build for non-apple python but brew style python :
+#
+# change in /tmp/link-python/build/CMakeCache.txt
+
+#//Path to a program.
+#PYTHON_EXECUTABLE:FILEPATH=/usr/local/bin/python3
+
+#//Path to a library.
+#PYTHON_LIBRARY:FILEPATH=/usr/local/opt/python@3.8/Frameworks/Python.framework/Versions/3.8/lib/libpython3.8.dylib
+
+
+cmake --build .
--- a/updateUI.py
+++ b/updateUI.py
@ -7,11 +7,12 @@ LJ UI IP updater v0.8.1
 '''
 #wwwIP = "192.168.2.78"
 #wwwIP = "aurora.teamlaser.fr"
-wwwIP = "192.168.2.43"
+wwwIP = "192.168.1.48"

 import os, sys
 ljpath = r'%s' % os.getcwd().replace('\\','/')

+python2 = (2, 6) <= sys.version_info < (3, 0)

 def Updatewww(file_name):

@ -22,24 +23,25 @@ def Updatewww(file_name):

    for line in a:

-        #print line
-        if (2, 6) <= sys.version_info < (3, 0) == True:
+        if python2 == True:

          # python2
          if "var LJ = " in line > -1:
            p=a.index(line)
            #so now we have the position of the line which to be modified
            a[p]="      var LJ = 'ws://"+wwwIP+":9001/'\n"
-            #print p, line, a[p]
+            #print(p, line, a[p])

        else:

          # python3
-          if "var LJ = " in line == True:
+          IPline = ("var LJ = " in line)
+          if IPline == True:
+
            p=a.index(line)
            #so now we have the position of the line which to be modified
            a[p]="      var LJ = 'ws://"+wwwIP+":9001/'\n"
-            #print p, line, a[p]
+            #print(p, line, a[p])

    f.seek(0)
    f.truncate() #ersing all data from the file
@ -56,10 +58,5 @@ Updatewww(ljpath+"/www/LJ.js")
 Updatewww(ljpath+"/www/trckr/trckrcam1.html")
 Updatewww(ljpath+"/www/simu.html")
 Updatewww(ljpath+"/www/align.html")
-Updatewww(ljpath+"/www/gen0.html")
-Updatewww(ljpath+"/www/aur0.html")
-Updatewww(ljpath+"/www/aur0s.html")
-Updatewww(ljpath+"/www/aur1.html")
 Updatewww(ljpath+"/www/auralls.html")
 Updatewww(ljpath+"/www/index.html")
-
--- a/www/LJ.js
+++ b/www/LJ.js
@ -4,7 +4,7 @@

 // LJ websocket address. IP will be updated at LJ startup according to LJ.conf wwwIP

-      var LJ = 'ws://192.168.2.43:9001/'
+      var LJ = 'ws://192.168.1.48:9001/'


 //
--- a/www/README.md
+++ b/www/README.md
@ -0,0 +1,96 @@
+clmtrackr
+======
+
+[![npm version](https://img.shields.io/npm/v/clmtrackr.svg)](https://www.npmjs.com/package/clmtrackr)
+
+![tracked face](https://auduno.github.io/clmtrackr/examples/media/clmtrackr_03.jpg)
+
+**clmtrackr** is a javascript library for fitting facial models to faces in videos or images. It currently is an implementation of *constrained local models* fitted by *regularized landmark mean-shift*, as described in [Jason M. Saragih's paper](http://dl.acm.org/citation.cfm?id=1938021). **clmtrackr** tracks a face and outputs the coordinate positions of the face model as an array, following the numbering of the model below:
+
+[![facemodel_numbering](https://auduno.github.io/clmtrackr/examples/media/facemodel_numbering_new_small.png)](https://auduno.github.io/clmtrackr/examples/media/facemodel_numbering_new.png)
+
+[Reference](http://auduno.github.io/clmtrackr/docs/reference.html) - [Overview](https://www.auduno.com/2014/01/05/fitting-faces/)
+
+The library provides some generic face models that were trained on [the MUCT database](http://www.milbo.org/muct/) and some additional self-annotated images. Check out [clmtools](https://github.com/auduno/clmtools) for building your own models.
+
+For tracking in video, it is recommended to use a browser with WebGL support, though the library should work on any modern browser.
+
+For some more information about Constrained Local Models, take a look at Xiaoguang Yan's [excellent tutorial](https://sites.google.com/site/xgyanhome/home/projects/clm-implementation/ConstrainedLocalModel-tutorial%2Cv0.7.pdf?attredirects=0), which was of great help in implementing this library.
+
+### Examples ###
+
+* [Tracking in image](https://auduno.github.io/clmtrackr/examples/clm_image.html)
+* [Tracking in video](https://auduno.github.io/clmtrackr/examples/clm_video.html)
+* [Face substitution](https://auduno.github.io/clmtrackr/examples/facesubstitution.html)
+* [Face masking](https://auduno.github.io/clmtrackr/examples/face_mask.html)
+* [Realtime face deformation](https://auduno.github.io/clmtrackr/examples/facedeform.html)
+* [Emotion detection](https://auduno.github.io/clmtrackr/examples/clm_emotiondetection.html)
+* [Caricature](https://auduno.github.io/clmtrackr/examples/caricature.html)
+
+### Usage ###
+
+Download the minified library [clmtrackr.js](https://github.com/auduno/clmtrackr/raw/dev/build/clmtrackr.js), and include it in your webpage.
+
+```html
+/* clmtrackr libraries */
+<script src="js/clmtrackr.js"></script>
+```
+
+The following code initiates the clmtrackr with the default model (see the [reference](http://auduno.github.io/clmtrackr/docs/reference.html) for some alternative models), and starts the tracker running on a video element.
+
+```html
+<video id="inputVideo" width="400" height="300" autoplay loop>
+  <source src="./media/somevideo.ogv" type="video/ogg"/>
+</video>
+<script type="text/javascript">
+  var videoInput = document.getElementById('inputVideo');
+  
+  var ctracker = new clm.tracker();
+  ctracker.init();
+  ctracker.start(videoInput);
+</script>
+```
+
+You can now get the positions of the tracked facial features as an array via ```getCurrentPosition()```:
+
+```html
+<script type="text/javascript">
+  function positionLoop() {
+    requestAnimationFrame(positionLoop);
+    var positions = ctracker.getCurrentPosition();
+    // positions = [[x_0, y_0], [x_1,y_1], ... ]
+    // do something with the positions ...
+  }
+  positionLoop();
+</script>
+```
+
+You can also use the built in function ```draw()``` to draw the tracked facial model on a canvas :
+
+```html
+<canvas id="drawCanvas" width="400" height="300"></canvas>
+<script type="text/javascript">
+  var canvasInput = document.getElementById('drawCanvas');
+  var cc = canvasInput.getContext('2d');
+  function drawLoop() {
+    requestAnimationFrame(drawLoop);
+    cc.clearRect(0, 0, canvasInput.width, canvasInput.height);
+    ctracker.draw(canvasInput);
+  }
+  drawLoop();
+</script>
+```
+
+See the complete example [here](https://auduno.github.io/clmtrackr/examples/example.html).
+
+### Development ###
+
+First, install [node.js](http://nodejs.org/) with npm.
+
+In the root directory of clmtrackr, run `npm install` then run `npm run build`. This will create `clmtrackr.js` and `clmtrackr.module.js` in `build` folder.
+
+To test the examples locally, you need to run a local server. One easy way to do this is to install `http-server`, a small node.js utility: `npm install -g http-server`. Then run `http-server` in the root of clmtrackr and go to `https://localhost:8080/examples` in your browser.
+
+### License ###
+
+**clmtrackr** is distributed under the [MIT License](http://www.opensource.org/licenses/MIT)
--- a/www/align.html
+++ b/www/align.html
@ -604,9 +604,7 @@
    <!-- LJ style WS : A nettoyer ! -->

      <script type="text/javascript">
-
-      var LJ = 'ws://192.168.2.43:9001/'
-      var LJ = 'ws://192.168.2.43:9001/'
+      var LJ = 'ws://192.168.1.48:9001/'

            var _WS = {
            uri: LJ,
--- a/www/auralls.html
+++ b/www/auralls.html
@ -417,7 +417,7 @@

      <script type="text/javascript">

-      var LJ = 'ws://192.168.2.43:9001/'
+      var LJ = 'ws://192.168.1.48:9001/'


            var  pl = "";
--- a/www/favicon.ico
+++ b/www/favicon.ico
--- a/www/index.html
+++ b/www/index.html
@ -231,8 +231,8 @@
    <!-- LJ style WS : A nettoyer ! -->

      <script type="text/javascript">
-      var LJ = 'ws://192.168.2.43:9001/'
-      var LJ = 'ws://192.168.2.43:9001/'
+      var LJ = 'ws://192.168.1.48:9001/'
+

            var _WS = {
            uri: LJ,
--- a/www/models/model_pca_10_mosse.js
+++ b/www/models/model_pca_10_mosse.js
--- a/www/models/model_pca_10_svm.js
+++ b/www/models/model_pca_10_svm.js
--- a/www/models/model_pca_20_mosse.js
+++ b/www/models/model_pca_20_mosse.js
--- a/www/models/model_pca_20_svm.js
+++ b/www/models/model_pca_20_svm.js
@ -0,0 +1,640 @@
+(function (global) {
+  'use strict';
+
+  var pModel = {
+    "scoring": {
+      "size": [20, 22],
+      "bias": -1.3971,
+      "coef": [-0.019443, -0.0084627, -0.005644, -0.0030633, 0.0050582, 0.0038672, 0.0073781, 0.0084088, 0.002108, 0.0088022, 0.0084634, 0.0091342, 0.0021678, 0.0057906, 0.010027, 0.010018, 0.011075, -0.00061696, -0.006084, -0.0094488, -0.012441, -0.003865, -0.0003105, 0.0031879, 0.0078183, 0.01096, 0.012101, 0.012289, 0.012872, 0.01342, 0.012863, 0.01257, 0.014429, 0.013339, 0.013248, 0.012998, 0.0080562, 0.001467, -0.011928, -0.0097909, -0.019951, -0.014602, -0.013175, -0.0060515, -0.0010407, 0.0054651, 0.010449, 0.014061, 0.015918, 0.016361, 0.021757, 0.017301, 0.014195, 0.012452, 0.010454, 0.0040883, -0.0014194, -0.0038499, -0.01077, -0.011758, -0.0046927, -0.0022134, -0.0039804, -0.012187, -0.011887, -0.0081984, 0.0028354, 0.007082, 0.012238, 0.016348, 0.02098, 0.017313, 0.011865, 0.0072371, 0.0028788, -0.0074673, -0.012293, -0.014834, -0.0083886, -0.0012772, -0.0043238, -0.00079996, -0.0090447, -0.015715, -0.016374, -0.018048, -0.012034, -0.007243, 0.00051252, 0.013092, 0.01857, 0.013099, 0.00085916, -0.0064555, -0.014574, -0.018222, -0.01806, -0.016666, -0.016743, -0.012862, -0.037409, -0.02683, -0.036693, -0.034788, -0.021885, -0.024485, -0.028069, -0.018632, 0.00033863, 0.015591, 0.021179, 0.015184, 0.0029429, -0.014375, -0.025568, -0.025718, -0.023219, -0.043064, -0.042245, -0.040561, -0.029282, -0.037097, -0.050209, -0.043175, -0.038799, -0.037913, -0.024597, -0.013392, 0.0026176, 0.01616, 0.02195, 0.018825, 0.0069274, -0.00671, -0.018259, -0.03115, -0.030987, -0.033628, -0.043437, -0.034535, -0.0027688, -0.0045493, -0.0029637, -0.0034067, -0.0058159, -0.0050003, -0.0052189, -0.0035094, 0.0048076, 0.01523, 0.017877, 0.01506, 0.0068301, -0.00074735, -0.0047129, -0.0020172, -0.0028734, -3.2165e-05, 0.0052576, 0.0043529, 0.016946, 0.015931, 0.013752, 0.01013, 0.0080481, 0.006654, 0.0068325, 0.0069577, 0.0040399, 0.011715, 0.01744, 0.014274, 0.0061486, 0.0064501, 0.0064155, 0.0087973, 0.0085371, 0.0087282, 0.011783, 0.016747, 0.022118, 0.020836, 0.018312, 0.015898, 0.017833, 0.015566, 0.014049, 0.0092416, 0.0081518, 0.011231, 0.012568, 0.012112, 0.0098382, 0.0073612, 0.0095541, 0.011728, 0.018126, 0.019469, 0.017399, 0.021144, 0.021132, 0.019499, 0.019593, 0.020281, 0.017451, 0.014159, 0.0062291, 0.0038367, 0.0070206, 0.0096561, 0.011406, 0.0073274, 0.0046726, 0.0052536, 0.00018758, 0.0081524, 0.01276, 0.0216, 0.023303, 0.023746, 0.018231, 0.020013, 0.019842, 0.0188, 0.010638, 0.00047498, -0.0071779, -0.0013493, 0.0015382, 0.0026092, 0.00054047, -0.00049664, -0.00046203, -0.005244, -0.0052152, -0.010003, 0.0014386, 0.012845, 0.020828, 0.023738, 0.015717, 0.016381, 0.014903, 0.007373, 0.0019356, -0.0062, -0.0091165, -0.008811, -0.01485, -0.0020888, 0.0052141, 0.0010527, -0.010322, -0.016208, -0.012439, -0.013087, -0.002797, 0.0023632, 0.011157, 0.018369, 0.0095224, 0.010552, 0.0065611, -0.0015315, -0.0032492, -0.003133, -0.00092774, -0.0020969, -0.0027526, 0.00094388, 5.9164e-05, -0.0017255, -0.0034421, -0.0045774, -0.0025305, -0.00038216, 0.00057079, 0.0031326, 0.0060238, 0.011585, 0.0016263, 0.0032288, 0.0012533, 0.00062748, 0.0023767, 0.0028182, 0.0023771, -0.0033403, -0.0048954, 0.0030747, 0.0062649, 0.0050231, 0.00044658, -0.0048271, -0.0040237, 0.0024988, 0.005458, 0.007288, 0.003601, 0.010569, -0.0045837, 0.00057936, 0.0010299, 0.0030015, 0.0036675, 0.0044718, 0.0068927, 0.0039124, 0.0071394, 0.010304, 0.012609, 0.0089589, 0.0086038, 0.0055408, 0.0046722, 0.0047921, 0.0058818, 0.0056047, 0.0054112, 0.0073265, -0.0027342, -0.0027247, -0.00349, -0.0079957, -0.0040761, -0.0020778, -0.0028479, -0.0039663, -0.0026161, 0.00092611, 0.0017427, 0.00055187, -0.0013723, -0.0045996, -0.0042015, -0.0054722, -0.0023417, -0.0025441, -0.0078778, 5.3403e-05, 0.0046873, 0.0021888, 0.0013036, -0.0013698, -0.015805, -0.016268, -0.018901, -0.017659, -0.011813, -0.0034436, -0.0023483, -0.0050111, -0.0050922, -0.015031, -0.020198, -0.021621, -0.018586, -0.018724, -0.0055723, 0.006448, 0.0026823, 0.006001, 0.0039986, 0.0050813, -0.0059114, -0.027746, -0.029251, -0.023067, -0.01721, -0.015963, -0.021075, -0.023667, -0.020006, -0.019063, -0.017792, -0.025323, -0.020971, -0.0034366, 0.0043351, 0.0084557, -0.0063213, -0.0012841, -0.001235, 0.004021, 0.0092275, 0.0045265, 0.0041316, 0.00077108, 0.0017581, -0.0011577, -0.0036195, -0.003732, -0.0016662, 0.0031111, 0.0014907, 0.0048443, 0.0059991, 0.0084751, 0.0055827, 0.0025145, -0.0046319, -0.0076183, -0.0046594, -0.0031254, 0.0074653, 0.010126, 0.0094747, 0.0035658, 0.0057834, 0.0038881, 0.001996, 0.0015056, 0.0011132, 0.0054877, 0.0047366, 0.0072106, 0.010078, 0.003857, -0.0031188, 8.695e-05, -0.021441, -0.0072103, -0.0078359, -0.0059407, -0.00161, 0.005345, 0.0071049, 0.010197, 0.0057578, 0.0074571, 0.0062731, 0.0076242, 0.0068437, 0.0070021, 0.0087251, 0.0089996, 0.0034314, -0.0019892, -0.0078966, -0.010925]
+    },
+    "path": {
+      "normal": [
+        [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14],
+        [15, 16, 17, 18],
+        [19, 20, 21, 22],
+        [23, 63, 24, 64, 25, 65, 26, 66, 23],
+        [28, 67, 29, 68, 30, 69, 31, 70, 28],
+        [34, 35, 36, 42, 37, 43, 38, 39, 40],
+        [33, 41, 62],
+        [44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 44, 56, 57, 58, 50, 59, 60, 61, 44],
+        27, 32
+      ],
+      "vertices": [
+        // jawline
+        [0,1,23,0],
+        [1,23,66,1],
+        [1,2,66,1],
+        [2,66,26,2],
+        [2,26,35,2],
+        [2,35,36,2],
+        [2,36,3,2],
+        [36,44,45,36],
+        [3,4,44,3],
+        [3,44,36,3],
+        [4,44,55,4],
+        [4,5,55,4],
+        [5,55,54,5],
+        [5,6,54,5],
+        [6,53,54,6],
+        [6,7,53,6],
+        [7,8,53,7],
+        [8,52,53,8],
+        [8,9,52,8],
+        [9,51,52,9],
+        [9,10,51,9],
+        [10,50,51,10],
+        [10,11,50,10],
+        [11,38,50,11],
+        [11,12,38,11],
+        [12,38,39,12],
+        [12,31,39,12],
+        [12,31,70,12],
+        [12,13,70,12],
+        [13,28,70,13],
+        [13,14,28,13],
+        // right eyebrow
+        [14,15,28,14],
+        [15,28,67,15],
+        [15,16,67,15],
+        [16,67,29,16],
+        [16,17,29,16],
+        [17,68,29,17],
+        [17,18,68,17],
+        [18,68,30,18],
+        [18,30,33,18],
+        // below eyes
+        [30,40,69,30],
+        [39,40,69,39],
+        [39,31,69,39],
+        [26,65,35,26],
+        [34,35,65,34],
+        [25,34,65,25],
+        // left eyebrow
+        [22,25,33,22],
+        [22,25,64,22],
+        [21,22,64,21],
+        [21,24,64,21],
+        [20,21,24,20],
+        [20,24,63,20],
+        [19,20,63,19],
+        [19,23,63,19],
+        [19,23,0,19],
+        // below nose
+        [36,45,46,36],
+        [36,42,46,36],
+        [42,37,46,42],
+        [37,46,47,37],
+        [46,37,47,46],
+        [37,47,48,37],
+        [38,48,49,38],
+        [37,43,48,37],
+        [43,38,48,43],
+        [38,49,50,38],
+        // nose region
+        [22,18,33,22],
+        [40,41,30,40],
+        [25,33,41,25],
+        [33,41,30,33],
+        [25,34,41,25],
+        [41,40,62,41],
+        [34,41,62,34],
+        [34,35,62,34],
+        [35,36,62,35],
+        [36,42,62,36],
+        [42,37,62,42],
+        [37,43,62,37],
+        [43,38,62,43],
+        [38,39,62,38],
+        [39,40,62,39],
+        // mouth
+        [44,45,61,44],
+        [45,46,61,45],
+        [46,47,61,46],
+        [47,61,60,47],
+        [47,59,60,47],
+        [47,48,59,47],
+        [48,49,59,48],
+        [49,50,59,49],
+        [50,51,58,50],
+        [51,52,58,51],
+        [52,57,58,52],
+        [52,53,57,52],
+        [53,54,57,53],
+        [54,56,57,54],
+        [54,55,56,54],
+        [44,55,56,44],
+        // left eye
+        [23,63,27,23],
+        [63,24,27,63],
+        [24,64,27,24],
+        [64,25,27,64],
+        [25,65,27,25],
+        [65,26,27,65],
+        [26,66,27,26],
+        [66,23,27,66],
+        // right eye
+        [28,67,32,28],
+        [67,29,32,67],
+        [29,68,32,29],
+        [68,30,32,68],
+        [30,69,32,30],
+        [69,31,32,69],
+        [31,70,32,31],
+        [28,32,70,28]
+      ]
+    },
+    "patchModel": {
+      "patchType": "SVM",
+      "bias": {
+        "raw": [-0.96431, -1.0357, -0.87499, -0.91633, -0.84504, -0.8443, -0.73852, -0.80871, -0.72654, -0.84368, -0.86982, -0.91726, -0.87371, -1.0267, -0.98146, -0.87301, -1.0204, -1.058, -1.2212, -0.88168, -1.0332, -1.0513, -1.2405, -1.1638, -1.067, -1.2392, -1.1877, -1.1235, -1.1355, -1.0802, -1.2402, -1.167, -1.112, -0.72954, -1.1239, -1.3005, -1.3147, -1.0871, -1.3362, -1.3247, -1.1149, -0.76288, -1.1216, -1.0986, -1.2995, -1.2784, -1.0059, -0.91233, -0.96292, -1.2527, -1.2946, -1.1523, -1.0005, -0.88771, -1.0142, -1.1965, -1.0387, -0.86719, -1.0089, -1.1238, -0.95069, -1.1224, -0.88922, -1.1176, -1.2249, -1.247, -1.2452, -1.0982, -1.2104, -1.2217, -1.1773],
+        "sobel": [-0.83935, -0.62721, -0.55884, -0.69956, -0.71112, -0.80041, -0.8006, -1.1137, -0.80072, -0.80019, -0.71985, -0.69966, -0.58347, -0.65659, -0.82586, -0.77759, -0.77233, -0.85808, -0.81938, -0.76428, -0.79996, -0.86702, -0.82302, -0.74264, -1.0086, -0.71718, -0.79528, -0.88281, -0.7815, -0.99671, -0.71226, -0.81128, -0.961, -1.2055, -0.86243, -0.75576, -0.78897, -0.96273, -0.78559, -0.78317, -0.89144, -1.0805, -0.81895, -0.82399, -0.61098, -0.70637, -0.83608, -0.86537, -0.86189, -0.70686, -0.60467, -0.63896, -0.60021, -0.60121, -0.60027, -0.66659, -0.70694, -0.80643, -0.70127, -0.69741, -0.85141, -0.69645, -1.0096, -0.88808, -0.88378, -0.80101, -0.80271, -0.90248, -0.8675, -0.82653, -0.82836],
+        "lbp": [-1.2775, -0.80122, -0.80009, -0.80001, -0.70684, -0.77174, -0.76476, -0.66899, -0.72273, -0.66941, -0.59957, -0.79986, -0.80009, -0.80015, -0.80045, -0.7709, -0.6573, -0.59981, -0.58309, -0.95297, -0.76546, -0.79994, -0.72741, -1.3172, -1.1408, -1.3378, -1.4003, -1.2901, -1.2837, -1.1569, -1.2168, -1.4004, -1.2905, -0.92838, -0.9268, -0.92117, -0.91104, -0.84307, -0.86336, -0.97589, -0.89165, -1.1977, -0.99448, -0.97474, -0.79614, -0.7713, -0.91142, -0.92086, -0.8659, -0.84975, -0.80661, -1.0506, -1.2192, -1.3183, -1.3092, -0.60808, -0.93976, -1.1058, -1.0279, -0.91383, -0.87452, -0.81875, -1.0651, -1.1856, -1.1889, -1.3461, -1.3969, -1.1909, -1.1383, -1.3736, -1.3913]
+      },
+      "weights": {
+        "raw": [
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+        [0.0059814, -0.019987, -0.05216, -0.04447, 0.076646, 0.092444, 0.004678, 0.10415, 0.0046581, 0.0051388, -0.096442, 0.0059707, -0.0081662, 0.083068, 0.047686, 0.097271, -0.082539, -0.026822, 0.0086197, -0.097325],
+        [-0.0021943, 0.014673, 0.029772, 0.032615, -0.070295, 0.11259, -0.099269, 0.067977, -0.030442, -0.007886, 0.04335, -0.085123, -0.024236, 0.010448, 0.034458, -0.043729, -0.1042, 0.051653, -0.0020921, -0.13234],
+        [-0.004206, -0.036745, -0.07115, -0.055276, 0.11733, 0.12551, 0.026702, 0.098002, -0.032058, -0.004739, -0.10681, 0.00206, 0.030173, 0.081617, -0.060518, 0.076499, 0.010561, -0.048468, 0.0058355, -0.010407],
+        [-0.0044632, -0.00045295, 0.035713, 0.033808, -0.072124, 0.10251, -0.12265, 0.11181, -0.025714, -0.01886, 0.019241, -0.11285, -0.030121, 0.016747, 0.051984, -0.066147, -0.080512, 0.05543, -0.0091079, -0.1189],
+        [0.0019322, 0.029684, 0.074829, 0.061405, -0.11987, -0.12601, -0.036896, 0.077821, 0.038016, 0.0025971, 0.11579, -0.0007963, -0.013184, 0.098763, 0.04888, 0.099412, -0.014125, 0.04046, 0.0050852, -0.0021232],
+        [0.008396, -0.0058529, 0.042436, 0.073379, -0.029941, 0.087214, -0.11961, -0.12223, -0.079091, -0.079083, -0.017226, 0.11592, -0.085628, -0.018604, -0.004207, 0.068773, 0.14025, -0.081846, -0.0022209, 0.13007],
+        [0.014309, 0.014541, 0.05766, 0.046001, -0.08229, -0.08098, -0.026049, 0.079252, -0.024628, -0.025998, 0.070828, 0.013827, -0.0084475, 0.1061, -0.049312, 0.11165, 0.1053, 0.036343, 0.0098152, 0.10895],
+        [0.0013644, 0.0083593, 0.036153, 0.070909, -0.032101, 0.089224, -0.094876, -0.070176, -0.07845, -0.059264, 0.020187, 0.082243, -0.073071, -0.038616, -0.036995, 0.04263, 0.093939, -0.062508, -0.0011506, 0.10336],
+        [0.0060632, 0.020549, 0.053291, 0.04572, -0.079355, -0.087939, -0.0085831, 0.1014, -0.0058532, -0.0054453, 0.098074, 0.0093178, 0.0072056, 0.082593, -0.046292, 0.098917, 0.078372, 0.028835, 0.0086953, 0.092038],
+        [0.0019571, 0.013874, 0.027695, 0.030838, -0.067223, 0.11615, -0.099008, -0.072025, -0.030235, -0.0076776, 0.039519, 0.084822, -0.024539, -0.013711, 0.036309, 0.039865, -0.10737, 0.050557, 0.0017511, -0.13607],
+        [-0.004027, 0.036698, 0.072501, 0.056564, -0.12008, -0.12138, -0.031511, 0.093524, 0.031021, 0.0039927, 0.10749, 0.0065019, -0.031336, 0.080895, 0.062517, 0.079044, -0.013723, 0.050613, 0.0061896, 0.0057174],
+        [0.0046253, -0.0018994, 0.032883, 0.031605, -0.067448, 0.10737, -0.1215, -0.11558, -0.026956, -0.019032, 0.01502, 0.11268, -0.02891, -0.019948, 0.04956, 0.063084, -0.080034, 0.053478, 0.0088711, -0.11922]
+      ],
+      "numEvalues": 20,
+      "eigenValues": [
+        448.26,
+        152.88,
+        77.079,
+        38.34,
+        27.754,
+        15.293,
+        13.086,
+        10.197,
+        7.2365,
+        6.5965,
+        5.7389,
+        5.6223,
+        4.6227,
+        4.3931,
+        3.9714,
+        3.5791,
+        3.4264,
+        3.0788,
+        2.6396,
+        2.4414
+      ],
+      "numPtsPerSample": 71,
+      "nonRegularizedVectors": [0],
+      "meanShape": [
+        [25.011, 34.815],
+        [24.382, 45.627],
+        [25.831, 56.165],
+        [28.675, 66.696],
+        [33.598, 75.549],
+        [40.333, 82.562],
+        [48.359, 88],
+        [57.764, 89.783],
+        [67.091, 87.631],
+        [74.897, 81.881],
+        [81.35, 74.609],
+        [85.921, 65.568],
+        [88.348, 54.934],
+        [89.382, 44.347],
+        [88.327, 33.568],
+        [81.567, 27.445],
+        [76.62, 25.173],
+        [69.154, 25.747],
+        [63.337, 27.341],
+        [31.525, 28.43],
+        [36.379, 25.966],
+        [43.862, 26.245],
+        [49.736, 27.609],
+        [35.982, 35.443],
+        [41.743, 32.491],
+        [48.057, 35.383],
+        [41.828, 37.011],
+        [41.961, 34.611],
+        [77.389, 34.628],
+        [71.516, 31.905],
+        [65.321, 35.043],
+        [71.61, 36.424],
+        [71.382, 34.031],
+        [56.646, 33.009],
+        [50.194, 46.941],
+        [47.457, 51.771],
+        [50.073, 55.035],
+        [57.101, 56.145],
+        [64.081, 54.759],
+        [66.566, 51.395],
+        [63.641, 46.676],
+        [56.826, 42.172],
+        [52.142, 53.256],
+        [61.943, 53.063],
+        [45.091, 66.457],
+        [49.307, 63.536],
+        [54.022, 62.36],
+        [57.236, 62.972],
+        [60.423, 62.234],
+        [65.181, 63.223],
+        [69.509, 65.977],
+        [66.693, 69.861],
+        [62.797, 72.43],
+        [57.439, 73.279],
+        [52.051, 72.642],
+        [48.057, 70.228],
+        [51.313, 68.335],
+        [57.355, 69.042],
+        [63.365, 68.097],
+        [63.303, 65.106],
+        [57.283, 65.373],
+        [51.258, 65.343],
+        [56.997, 50.867],
+        [38.345, 33.38],
+        [45.432, 33.213],
+        [45.103, 36.388],
+        [38.617, 36.562],
+        [74.947, 32.659],
+        [67.858, 32.771],
+        [68.312, 35.931],
+        [74.8, 35.849]
+      ]
+    },
+    "hints": {
+      "rightEye": [71.382, 34.031],
+      "leftEye": [41.961, 34.611],
+      "nose": [56.997, 50.867]
+    }
+  };
+
+  // CommonJS and Node.js module support
+  if (typeof exports !== 'undefined') {
+    // Support Node.js specific `module.exports` (which can be a function)
+    if (typeof module !== 'undefined' && module.exports) {
+      exports = module.exports = pModel;
+    }
+    // But always support CommonJS module 1.1.1 spec (`exports` cannot be a function)
+    exports.pModel = pModel;
+  } else {
+    // No CommonJS or Node.js module support, export to the global (window)
+    global.pModel = pModel;
+  }
+})(this);
--- a/www/models/model_spca_10_svm.js
+++ b/www/models/model_spca_10_svm.js
--- a/www/models/model_spca_20_svm.js
+++ b/www/models/model_spca_20_svm.js
--- a/www/selector.min.css
+++ b/www/selector.min.css
@ -0,0 +1 @@
+div.selector-element{font-size: 0.75em; display:inline-block;position:relative;width:100%;max-width: 85px;height: 24px;font-family:sans-serif;color: #fbfff5;background-color: #111111}div.selector-element div.selector-selected{display:inline-block;width:100%;height:100%;position:relative;cursor:pointer;-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box;line-height:30px;padding:0 12px;transition:.15s ease-in-out;border:1px solid gray}div.selector-element div.selector-selected:hover{background-color: #060606}div.selector-element div.selector-selected:after{content:'';position:absolute;top:50%;right:22px;transform:translateY(-50%);height:0;width:0;border-top:5px solid silver;border-left:5px solid transparent;border-right:5px solid transparent}div.selector-element div.selector-selected p.selected-text{display:inline-block;margin:0;width:100%;height:100%;-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box;padding-right:30px;text-overflow:ellipsis;overflow:hidden;white-space:nowrap}div.selector-element div.selector-options{color: #dbdbdb; display:none;position:absolute;background-color: #111111;top:100%;width:100%;height:auto;max-height:156px;overflow:auto;-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box;border:1px solid grey;border-top:0;box-shadow:0 2px 3px rgba(0,0,0,0.2);z-index:1;transition:.2s ease-in-out}div.selector-element div.selector-options.options-search{max-height:220px}div.selector-element.open div.selector-options{display:block}div.selector-element div.selector-options div.selector-option{display:block;position:relative;width:100%;height:32px;border-bottom:1px solid silver;-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box;padding:0 12px;line-height:31px;cursor:pointer;overflow:hidden;transition:.15s ease-in-out}div.selector-element div.selector-options div.selector-option.hide{height:0;border-bottom:0;transition:.1s ease-in-out}div.selector-element div.selector-options div.selector-option.option-selected{background-color: #111111}div.selector-element div.selector-options div.selector-option:hover{color: #fbfff5; background-color: #111111}div.selector-element div.selector-options div.selector-option:last-of-type{border-bottom:0}div.selector-element div.selector-options div.selector-option.option-disabled{opacity:.6}div.selector-element div.selector-options div.option-search{display:block;height:32px;line-height:33px;position:relative;width:100%;border-bottom:1px solid grey}div.selector-element div.selector-options div.option-search span{position:absolute;top:50%;transform:translateY(-48%) !important;height:14px;width:14px;cursor:pointer;z-index:1;background:url("../knobs/close.svg") center no-repeat;background-size:11px;right:12px}div.selector-element div.selector-options div.option-search input{display:inline-block;width:100%;height:100%;padding:0 36px 0 36px;font-family:sans-serif;font-size:1em;color: white;outline:0;border:0;background:url("../knobs/search.svg") left 13px center no-repeat;background-size:13px}
--- a/www/selector.min.js
+++ b/www/selector.min.js
--- a/www/simu.html
+++ b/www/simu.html
@ -197,7 +197,7 @@

        <script type="text/javascript">

-      var LJ = 'ws://192.168.2.43:9001/'
+      var LJ = 'ws://192.168.1.48:9001/'


            var  pl = "";
--- a/www/trckr/modelviewer_pca.html
+++ b/www/trckr/modelviewer_pca.html
@ -0,0 +1,209 @@
+<!doctype html>
+<html lang="en">
+	<head>
+		<title>PDM Modelviewer</title>
+		<meta charset="utf-8">
+		<meta name="viewport" content="width=device-width, user-scalable=no, minimum-scale=1.0, maximum-scale=1.0">
+		<style>
+			@import url(https://fonts.googleapis.com/css?family=Lato:300italic,700italic,300,700);
+
+			body {
+				font-family: 'Lato';
+				background-color: #f0f0f0;
+				margin: 0px auto;
+				max-width: 1150px;
+				margin-top: 50px;
+			}
+
+			h2 {
+				font-weight : 400;
+			}
+		</style>
+	</head>
+	<body>
+		<script src="../models/model_pca_20_svm.js"></script>
+		<script src="./js/libs/dat.gui.min.js"></script>
+		<h2>Modelviewer</h2>
+		<canvas id="compare" width="600" height="550"></canvas>
+		<p>Load a model from a file:</p>
+		<input type="file" value="load a model" id="loadjs"/>
+
+		<script>
+			function loadjs(file) {
+				var reader = new FileReader();
+				var str;
+				reader.onload = function(theFile) {
+				str = theFile.target.result;
+				debugger;
+				(function() { eval.apply(this, arguments); }(str));
+				rebuild();
+			}
+			reader.onerror = function() {alert("error reading file")};
+			reader.readAsText(file.target.files[0]);
+		}
+		document.getElementById('loadjs').addEventListener('change', loadjs, false);
+
+		function rebuild() {
+			// check how many parameters
+			pnums = pModel.shapeModel.eigenValues.length;
+
+			ph = new parameterHolder();
+			gui.destroy();
+			gui = new dat.GUI();
+
+			control = {};
+			eig = 0;
+			for (var i = 0;i < pnums;i++) {
+				eig = Math.sqrt(pModel.shapeModel.eigenValues[i])*3
+				control['c'+(i+1)] = gui.add(ph, 'component '+(i+1), -eig, eig);
+			}
+
+			for (var i = 0;i < pnums;i++) {
+				control['c'+(i+1)].onChange(drawNew);
+			}
+
+			params = [];
+			for (var i = 0;i < pnums;i++) {
+				params.push(ph['component '+(i+1)]);
+			}
+
+			drawNew();
+		}
+
+		var canvasInput = document.getElementById('compare');
+		var cc = canvasInput.getContext('2d');
+		cc.fillStyle = "rgb(200,0,0)";
+
+		// check how many parameters
+		var pnums = pModel.shapeModel.eigenValues.length;
+
+		var parameterHolder = function() {
+			for (var i = 0;i < pnums;i++) {
+				this['component '+(i+1)] = 0;
+			}
+		};
+
+		var ph = new parameterHolder();
+		var gui = new dat.GUI();
+
+		var control = {};
+		var eig = 0;
+		for (var i = 0;i < pnums;i++) {
+			eig = Math.sqrt(pModel.shapeModel.eigenValues[i])*3
+			control['c'+(i+1)] = gui.add(ph, 'component '+(i+1), -eig, eig);
+		}
+
+		var params;
+		var drawNew = function(value) {
+			cc.clearRect(0,0,600,600);
+			params = [];
+			for (var i = 0;i < pnums;i++) {
+				params.push(ph['component '+(i+1)]);
+			}
+			draw(document.getElementById('compare'), similarityTransforms.concat(params));
+		}
+
+		for (var i = 0;i < pnums;i++) {
+			control['c'+(i+1)].onChange(drawNew);
+		}
+
+		params = [];
+		for (var i = 0;i < pnums;i++) {
+			params.push(ph['component '+(i+1)]);
+		}
+
+		var similarityTransforms = [4,0,0,0];
+		//var similarityTransforms = [1, 0, -250, -450];
+		//var similarityTransforms = [1, 0, 200, 200];
+		var paramslength = params.length;
+		var num_points = pModel.shapeModel.numPtsPerSample;
+
+		var x,y;
+
+		var i, path;
+
+		var drawPath = function(canvasContext, path, dp) {
+			canvasContext.beginPath();
+			var i, x, y;
+			for (var p = 0;p < path.length;p++) {
+				i = path[p]*2;
+				x = pModel.shapeModel.meanShape[i/2][0];
+				y = pModel.shapeModel.meanShape[i/2][1];
+				for (var j = 0;j < pModel.shapeModel.numEvalues;j++) {
+					x += pModel.shapeModel.eigenVectors[i][j]*dp[j+4];
+					y += pModel.shapeModel.eigenVectors[i+1][j]*dp[j+4];
+				}
+				a = dp[0]*x - dp[1]*y + dp[2];
+				b = dp[0]*y + dp[1]*x + dp[3];
+				x += a;
+				y += b;
+
+				if (i == 0) {
+					canvasContext.moveTo(x,y);
+				} else {
+					canvasContext.lineTo(x,y);
+				}
+			}
+			canvasContext.moveTo(0,0);
+			canvasContext.closePath();
+			canvasContext.stroke();
+		}
+
+		function drawPoint(canvasContext, point, dp) {
+			var i, x, y;
+			i = point*2;
+			x = pModel.shapeModel.meanShape[i/2][0];
+			y = pModel.shapeModel.meanShape[i/2][1];
+			for (var j = 0;j < pModel.shapeModel.numEvalues;j++) {
+				x += pModel.shapeModel.eigenVectors[i][j]*dp[j+4];
+				y += pModel.shapeModel.eigenVectors[i+1][j]*dp[j+4];
+			}
+			a = dp[0]*x - dp[1]*y + dp[2];
+			b = dp[0]*y + dp[1]*x + dp[3];
+			x += a;
+			y += b;
+			canvasContext.beginPath();
+			canvasContext.arc(x, y, 2, 0, Math.PI*2, true);
+			canvasContext.closePath();
+			canvasContext.fill();
+		}
+
+		var draw = function(canvas, pv) {
+			// if no previous points, just draw in the middle of canvas
+
+			var params;
+			if (pv === undefined) {
+				params = currentParameters.slice(0);
+			} else {
+				params = pv.slice(0);
+			}
+
+			var cc = canvas.getContext('2d');
+			cc.fillStyle = "rgb(0,0,0)";
+			cc.strokeStyle = "rgb(0,0,0)";
+			//cc.lineWidth = 1;
+			cc.save();
+
+			var paths = pModel.path.normal;
+			for (var i = 0;i < paths.length;i++) {
+				if (typeof(paths[i]) == 'number') {
+					drawPoint(cc, paths[i], params);
+				} else {
+					drawPath(cc, paths[i], params);
+				}
+			}
+
+			cc.restore()
+		}
+		draw(document.getElementById('compare'), similarityTransforms.concat(params))
+		/*
+		var eigenVectors = new goog.math.Matrix(num_points*2, 7);
+  		for (var i = 0;i < num_points*2;i++) {
+			for (var j = 0;j < 7;j++) {
+				eigenVectors.setValueAt(i, j, pModel.shapeModel.eVectors[(i*num_points*2)+j]);
+			}
+  		}*/
+
+		</script>
+	</body>
+</html>
--- a/www/trckr/modelviewer_spca.html
+++ b/www/trckr/modelviewer_spca.html
@ -0,0 +1,209 @@
+<!doctype html>
+<html lang="en">
+	<head>
+		<title>PDM Modelviewer</title>
+		<meta charset="utf-8">
+		<meta name="viewport" content="width=device-width, user-scalable=no, minimum-scale=1.0, maximum-scale=1.0">
+		<style>
+			@import url(https://fonts.googleapis.com/css?family=Lato:300italic,700italic,300,700);
+
+			body {
+				font-family: 'Lato';
+				background-color: #f0f0f0;
+				margin: 0px auto;
+				max-width: 1150px;
+				margin-top: 50px;
+			}
+
+			h2 {
+				font-weight : 400;
+			}
+		</style>
+	</head>
+	<body>
+		<script src="../models/model_spca_20_svm.js"></script>
+		<script src="./js/libs/dat.gui.min.js"></script>
+		<h2>Modelviewer</h2>
+		<canvas id="compare" width="600" height="550"></canvas>
+		<p>Load a model from a file:</p>
+		<input type="file" value="load a model" id="loadjs"/>
+
+		<script>
+			function loadjs(file) {
+				var reader = new FileReader();
+				var str;
+				reader.onload = function(theFile) {
+				str = theFile.target.result;
+				debugger;
+				(function() { eval.apply(this, arguments); }(str));
+				rebuild();
+			}
+			reader.onerror = function() {alert("error reading file")};
+			reader.readAsText(file.target.files[0]);
+		}
+		document.getElementById('loadjs').addEventListener('change', loadjs, false);
+
+		function rebuild() {
+			// check how many parameters
+			pnums = pModel.shapeModel.eigenValues.length;
+
+			ph = new parameterHolder();
+			gui.destroy();
+			gui = new dat.GUI();
+
+			control = {};
+			eig = 0;
+			for (var i = 0;i < pnums;i++) {
+				eig = Math.sqrt(pModel.shapeModel.eigenValues[i])*3
+				control['c'+(i+1)] = gui.add(ph, 'component '+(i+1), -eig, eig);
+			}
+
+			for (var i = 0;i < pnums;i++) {
+				control['c'+(i+1)].onChange(drawNew);
+			}
+
+			params = [];
+			for (var i = 0;i < pnums;i++) {
+				params.push(ph['component '+(i+1)]);
+			}
+
+			drawNew();
+		}
+
+		var canvasInput = document.getElementById('compare');
+		var cc = canvasInput.getContext('2d');
+		cc.fillStyle = "rgb(200,0,0)";
+
+		// check how many parameters
+		var pnums = pModel.shapeModel.eigenValues.length;
+
+		var parameterHolder = function() {
+			for (var i = 0;i < pnums;i++) {
+				this['component '+(i+1)] = 0;
+			}
+		};
+
+		var ph = new parameterHolder();
+		var gui = new dat.GUI();
+
+		var control = {};
+		var eig = 0;
+		for (var i = 0;i < pnums;i++) {
+			eig = Math.sqrt(pModel.shapeModel.eigenValues[i])*3
+			control['c'+(i+1)] = gui.add(ph, 'component '+(i+1), -eig, eig);
+		}
+
+		var params;
+		var drawNew = function(value) {
+			cc.clearRect(0,0,600,600);
+			params = [];
+			for (var i = 0;i < pnums;i++) {
+				params.push(ph['component '+(i+1)]);
+			}
+			draw(document.getElementById('compare'), similarityTransforms.concat(params));
+		}
+
+		for (var i = 0;i < pnums;i++) {
+			control['c'+(i+1)].onChange(drawNew);
+		}
+
+		params = [];
+		for (var i = 0;i < pnums;i++) {
+			params.push(ph['component '+(i+1)]);
+		}
+
+		var similarityTransforms = [4,0,0,0];
+		//var similarityTransforms = [1, 0, -250, -450];
+		//var similarityTransforms = [1, 0, 200, 200];
+		var paramslength = params.length;
+		var num_points = pModel.shapeModel.numPtsPerSample;
+
+		var x,y;
+
+		var i, path;
+
+		var drawPath = function(canvasContext, path, dp) {
+			canvasContext.beginPath();
+			var i, x, y;
+			for (var p = 0;p < path.length;p++) {
+				i = path[p]*2;
+				x = pModel.shapeModel.meanShape[i/2][0];
+				y = pModel.shapeModel.meanShape[i/2][1];
+				for (var j = 0;j < pModel.shapeModel.numEvalues;j++) {
+					x += pModel.shapeModel.eigenVectors[i][j]*dp[j+4];
+					y += pModel.shapeModel.eigenVectors[i+1][j]*dp[j+4];
+				}
+				a = dp[0]*x - dp[1]*y + dp[2];
+				b = dp[0]*y + dp[1]*x + dp[3];
+				x += a;
+				y += b;
+
+				if (i == 0) {
+					canvasContext.moveTo(x,y);
+				} else {
+					canvasContext.lineTo(x,y);
+				}
+			}
+			canvasContext.moveTo(0,0);
+			canvasContext.closePath();
+			canvasContext.stroke();
+		}
+
+		function drawPoint(canvasContext, point, dp) {
+			var i, x, y;
+			i = point*2;
+			x = pModel.shapeModel.meanShape[i/2][0];
+			y = pModel.shapeModel.meanShape[i/2][1];
+			for (var j = 0;j < pModel.shapeModel.numEvalues;j++) {
+				x += pModel.shapeModel.eigenVectors[i][j]*dp[j+4];
+				y += pModel.shapeModel.eigenVectors[i+1][j]*dp[j+4];
+			}
+			a = dp[0]*x - dp[1]*y + dp[2];
+			b = dp[0]*y + dp[1]*x + dp[3];
+			x += a;
+			y += b;
+			canvasContext.beginPath();
+			canvasContext.arc(x, y, 2, 0, Math.PI*2, true);
+			canvasContext.closePath();
+			canvasContext.fill();
+		}
+
+		var draw = function(canvas, pv) {
+			// if no previous points, just draw in the middle of canvas
+
+			var params;
+			if (pv === undefined) {
+				params = currentParameters.slice(0);
+			} else {
+				params = pv.slice(0);
+			}
+
+			var cc = canvas.getContext('2d');
+			cc.fillStyle = "rgb(0,0,0)";
+			cc.strokeStyle = "rgb(0,0,0)";
+			//cc.lineWidth = 1;
+			cc.save();
+
+			var paths = pModel.path.normal;
+			for (var i = 0;i < paths.length;i++) {
+				if (typeof(paths[i]) == 'number') {
+					drawPoint(cc, paths[i], params);
+				} else {
+					drawPath(cc, paths[i], params);
+				}
+			}
+
+			cc.restore()
+		}
+		draw(document.getElementById('compare'), similarityTransforms.concat(params))
+		/*
+		var eigenVectors = new goog.math.Matrix(num_points*2, 7);
+  		for (var i = 0;i < num_points*2;i++) {
+			for (var j = 0;j < 7;j++) {
+				eigenVectors.setValueAt(i, j, pModel.shapeModel.eVectors[(i*num_points*2)+j]);
+			}
+  		}*/
+
+		</script>
+	</body>
+</html>
--- a/www/trckr/trckrcam1.html
+++ b/www/trckr/trckrcam1.html
@ -378,8 +378,8 @@

      <script type="text/javascript">

-      var LJ = 'ws://192.168.2.43:9001/'
-      var LJ = 'ws://192.168.2.43:9001/'
+      var LJ = 'ws://192.168.1.48:9001/'
+      var LJ = 'ws://192.168.1.48:9001/'

            var _WS = {
            uri: LJ,
				`@ -0,0 +1 @@`
				div.selector-element{font-size: 0.75em; display:inline-block;position:relative;width:100%;max-width: 85px;height: 24px;font-family:sans-serif;color: #fbfff5;background-color: #111111}div.selector-element div.selector-selected{display:inline-block;width:100%;height:100%;position:relative;cursor:pointer;-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box;line-height:30px;padding:0 12px;transition:.15s ease-in-out;border:1px solid gray}div.selector-element div.selector-selected:hover{background-color: #060606}div.selector-element div.selector-selected:after{content:'';position:absolute;top:50%;right:22px;transform:translateY(-50%);height:0;width:0;border-top:5px solid silver;border-left:5px solid transparent;border-right:5px solid transparent}div.selector-element div.selector-selected p.selected-text{display:inline-block;margin:0;width:100%;height:100%;-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box;padding-right:30px;text-overflow:ellipsis;overflow:hidden;white-space:nowrap}div.selector-element div.selector-options{color: #dbdbdb; display:none;position:absolute;background-color: #111111;top:100%;width:100%;height:auto;max-height:156px;overflow:auto;-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box;border:1px solid grey;border-top:0;box-shadow:0 2px 3px rgba(0,0,0,0.2);z-index:1;transition:.2s ease-in-out}div.selector-element div.selector-options.options-search{max-height:220px}div.selector-element.open div.selector-options{display:block}div.selector-element div.selector-options div.selector-option{display:block;position:relative;width:100%;height:32px;border-bottom:1px solid silver;-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box;padding:0 12px;line-height:31px;cursor:pointer;overflow:hidden;transition:.15s ease-in-out}div.selector-element div.selector-options div.selector-option.hide{height:0;border-bottom:0;transition:.1s ease-in-out}div.selector-element div.selector-options div.selector-option.option-selected{background-color: #111111}div.selector-element div.selector-options div.selector-option:hover{color: #fbfff5; background-color: #111111}div.selector-element div.selector-options div.selector-option:last-of-type{border-bottom:0}div.selector-element div.selector-options div.selector-option.option-disabled{opacity:.6}div.selector-element div.selector-options div.option-search{display:block;height:32px;line-height:33px;position:relative;width:100%;border-bottom:1px solid grey}div.selector-element div.selector-options div.option-search span{position:absolute;top:50%;transform:translateY(-48%) !important;height:14px;width:14px;cursor:pointer;z-index:1;background:url("../knobs/close.svg") center no-repeat;background-size:11px;right:12px}div.selector-element div.selector-options div.option-search input{display:inline-block;width:100%;height:100%;padding:0 36px 0 36px;font-family:sans-serif;font-size:1em;color: white;outline:0;border:0;background:url("../knobs/search.svg") left 13px center no-repeat;background-size:13px}