commit 528f4016b06158c835e755225fa33f1159714987
Author: Ruben <rubenvandeven@gmail.com>
Date:   Mon Mar 6 21:11:00 2017 +0100

    Version one of Alles Wat ik Voel

diff --git a/.gitignore b/.gitignore
new file mode 100644
index 0000000..bae2187
--- /dev/null
+++ b/.gitignore
@@ -0,0 +1,4 @@
+__pycache__/
+env/
+
+
diff --git a/colour.py b/colour.py
new file mode 100644
index 0000000..09dbf80
--- /dev/null
+++ b/colour.py
@@ -0,0 +1,89 @@
+import struct
+import scipy
+import scipy.misc
+import scipy.cluster
+import codecs
+# from IPython.display import Markdown, display, HTML
+import colorsys
+import math
+import numpy as np
+
+NUM_CLUSTERS = 64
+
+def getColourAsHex(colour):
+    return '#' + ''.join(format(c, '02x') for c in colour.astype(int))
+
+def getColoursForImageByClusters(image):
+    """
+    Adapted on answers by
+    Peter Hansen (http://stackoverflow.com/a/3244061)
+    & Johan Mickos (http://stackoverflow.com/a/34140327)
+    """
+    im = image.copy().resize((150, 150))      # optional, to reduce time
+    ar = scipy.misc.fromimage(im)
+    shape = ar.shape
+    ar = ar.reshape(scipy.product(shape[:2]), shape[2])
+
+#     print( 'finding clusters')
+    codes, dist = scipy.cluster.vq.kmeans(ar.astype(float), NUM_CLUSTERS)
+#     print ('cluster centres:\n', codes)
+    
+    vecs, dist = scipy.cluster.vq.vq(ar, codes)         # assign codes
+    counts, bins = scipy.histogram(vecs, len(codes))    # count occurrences
+    
+# When only looking for single color:    
+#     index_max = scipy.argmax(counts)                    # find most frequent
+#     peak = codes[index_max]
+#     colour = ''.join(chr(c) for c in peak).encode('hex')
+#     print( 'most frequent is %s (#%s)' % (peak, colour))
+    
+    percentages = 100 * counts / sum(counts)
+#     print("Percentages", percentages)
+#     colours = [ in codes]
+#     print(colours)
+    return list(zip(codes, percentages))
+
+def getColoursForImageByPxAvg(image):
+    im = image.copy().resize((8, 8))
+    pixels = np.concatenate(scipy.misc.fromimage(im))
+#     colours = ['#' + ''.join(format(c, '02x') for c in color.astype(int)) for color in pixels]
+    percentages = np.zeros(len(pixels)) + (100 / len(pixels))
+    return list(zip(pixels, percentages))
+
+def getColoursAsHTML(colours):
+    return " ".join(['<span style="background:%s">%s - (%s %%)</span>' % (getColourAsHex(colour[0]), getColourAsHex(colour[0]), colour[1]) for colour in colours]);
+
+def loadColoursFromDbImages(images):
+    return [i.colours for i in images]
+    
+
+def getSvgFromDbImages(images, elId = ""):
+    # sum concatenates all colour arrays
+    allColours = []
+    for c in loadColoursFromDbImages(images):
+        allColours += c
+    # box 160, because center or circle = 100 => +/- 50 => + r of colour circle (max: 10) => 160
+    svg = '<svg viewBox="-160 -160 320 320" xmlns="http://www.w3.org/2000/svg" id="%s">' % elId
+
+    radius = 100
+
+    for colour in allColours:
+        rgb, percentage = colour
+        rgbNorm = rgb/255
+        hsv = colorsys.rgb_to_hsv(rgbNorm[0], rgbNorm[1], rgbNorm[2])
+        # find position on circle
+        radians = 2 * math.pi * hsv[0]
+        x = math.cos(radians)
+        y = math.sin(radians)
+        
+        # based on saturation, we move inwards/outwards
+        # min = 0.5, max = 1.5 (dus + 0.5)
+        pos = np.array([x,y]) * (0.5 + hsv[1]) * radius
+        # Posibilitiy: determine position based on avg(saturation, value) => dark & grey inside, shiney and colourful outside 
+        # pos = np.array([x,y]) * (0.5 + (hsv[1]+hsv[2])/2) * radius
+        r = max(1,-10/percentage+10) # as r, we converge to maximum radius 10, but don't want to get smaller radi then 1
+        c = '<circle cx="%s" cy="%s" r="%s" style="fill:%s" />' % (pos[0], pos[1], r, getColourAsHex(rgb))
+        svg += c
+
+    svg += "</svg>"
+    return svg
\ No newline at end of file
diff --git a/images.db b/images.db
new file mode 100644
index 0000000..e2cddf5
Binary files /dev/null and b/images.db differ
diff --git a/models.py b/models.py
new file mode 100644
index 0000000..52b6eff
--- /dev/null
+++ b/models.py
@@ -0,0 +1,49 @@
+from peewee import *
+from playhouse.sqlite_ext import SqliteExtDatabase
+import datetime
+import json
+import numpy as np
+
+def coloursToJson(colours):
+    colours2 = [(list(colour[0]), colour[1]) for colour in colours]
+    return json.dumps(colours2)
+
+def jsonToColours(string):
+    data = json.loads(string)
+    return [(np.array(d[0]), d[1]) for d in data]
+
+db = SqliteExtDatabase('images.db')
+
+class ColoursField(TextField):
+#     db_field = 'colour'
+
+    def db_value(self, value):
+        return coloursToJson(value)
+
+    def python_value(self, value):
+        return jsonToColours(value) # convert str to UUID
+
+
+class BaseModel(Model):
+    class Meta:
+        database = db
+        
+class Emotion(BaseModel):
+    name = CharField(unique=True)
+        
+class Group(BaseModel):
+    name = CharField(unique=True)
+
+class Artwork(BaseModel):
+    author = CharField()
+    age = SmallIntegerField(index=True)
+    gender = FixedCharField(max_length=1) # we should not really use this one
+    group = ForeignKeyField(Group, related_name='artworks', index=True)
+    emotion = ForeignKeyField(Emotion, related_name='artworks', index=True)
+    created_date = DateTimeField(default=datetime.datetime.now)
+    filename = CharField()
+    colours = ColoursField() # serialised colours + percentages: [([r,g,b], percentage), ...]
+
+def getAges():
+    r = Artwork.select(fn.Distinct(Artwork.age)).dicts()
+    return [a['age'] for a in r]
diff --git a/server.py b/server.py
new file mode 100644
index 0000000..a351799
--- /dev/null
+++ b/server.py
@@ -0,0 +1,55 @@
+import models
+import os
+import tornado.ioloop
+import tornado.web
+import colour
+
+models.db.connect()
+
+curpath = os.path.dirname(os.path.abspath(__file__))
+tplpath = os.path.join(curpath, "templates");
+
+loader  = tornado.template.Loader(tplpath, autoescape=None)
+
+config = {
+	"port": 8881,
+	"conn": models.db
+}
+
+emotions = [ e for e in models.Emotion.select()]
+
+
+class MainHandler(tornado.web.RequestHandler):
+	def get(self):
+		loader.reset()
+		html = loader.load('index.html').generate(host=self.request.host, emotions=emotions, ages=models.getAges(), groups=models.Group.select())
+		self.write(html)
+
+class ColourHandler(tornado.web.RequestHandler):
+	def get(self):
+		req_group = self.get_query_argument("group", default=None)
+		req_age = self.get_query_argument("age", default=None)
+		req_emotion = self.get_query_argument("emotion", default=None)
+		req_elId = self.get_query_argument("elId", default="")
+
+		q = models.Artwork.select()
+		if req_group is not None:
+			group = models.Group.get(models.Group.id == req_group)
+			q = q.where(models.Artwork.group == group)
+		elif req_age is not None:
+			q = q.where(models.Artwork.age == req_age)
+		elif req_emotion is not None:
+			emotion = models.Emotion.get(models.Emotion.id == req_emotion)
+			q = q.where(models.Artwork.emotion == emotion)
+		images = q
+		svg = colour.getSvgFromDbImages(images, elId = req_elId)
+		self.write(svg)
+
+if __name__ == "__main__":
+	print("Start server", config)
+	app = tornado.web.Application([
+		(r"/", MainHandler),
+		(r"/colours", ColourHandler),
+	])
+	app.listen(config['port'])
+	tornado.ioloop.IOLoop.current().start()
diff --git a/templates/index.html b/templates/index.html
new file mode 100644
index 0000000..687c60f
--- /dev/null
+++ b/templates/index.html
@@ -0,0 +1,173 @@
+<!DOCTYPE html>
+<html>
+<head>
+	<title></title>
+	<style type="text/css">
+		body{
+			background-image:url('data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAADIAAAAyCAYAAAAeP4ixAAAABmJLR0QAdwB3AHctbh3qAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH4QMFFQkN1CxOCgAAAB1pVFh0Q29tbWVudAAAAAAAQ3JlYXRlZCB3aXRoIEdJTVBkLmUHAAAAXElEQVRo3u3YQRHAIAxFwVAT1L85gopgoNdc6D4DmZ1/y8hcFc3N+XafiCcuCQQEBAQEBAQEBAQEBAQEBATkV5BRVe0Pur3TIiAgICAgICAgICAgICAgICAgIB8dr84LFaZAYuYAAAAASUVORK5CYII=');
+			font-family: monospace;
+			font-size: 12pt;
+		}
+		body.loading #colourImage{
+			opacity: 0;
+			transition: opacity .4s;
+		}
+		#main svg{
+			z-index: -1;
+			position: absolute;
+			left:0;top:0;right:0;bottom: 0;
+		}
+		aside ul{
+			list-style: none;
+		}
+		aside ul li{
+			padding: 0.1em;
+			cursor: pointer;
+		}
+		aside ul li span{
+			background:#ff0;
+			transition: max-width 0.5s;
+			max-width: 0%;
+			display: inline-block;
+			overflow: visible;
+		}
+		aside ul li:hover span{
+			max-width: 100%;
+		}
+		aside ul li.selected span{
+			max-width: 100%;
+		}
+
+		aside#selects{
+			float:left;
+		}
+
+		aside#stats{
+			float:right;
+		}
+
+		#spinner{
+			display:none;
+		}
+		body.loading #spinner{
+			display: block;
+			animation: rotate 3s infinite linear;
+		}
+
+
+
+/* Standard syntax */
+@keyframes rotate {
+    from {transform: rotate(0deg);}
+    to {transform: rotate(360deg);}
+}
+	</style>
+</head>
+<body>
+	<aside id='selects'>
+		<h3>Toon op basis van...</h3>
+		<h4>groep</h4>
+		<ul>
+			{% for group in groups %}
+			<li data-param="group" data-id="{{group.id}}"><span>{{group.name.replace(" ", "&nbsp;")}}</span></li>
+			{% end %}
+		</ul>
+		<h4>leeftijd</h4>
+		<ul>
+			{% for age in ages %}
+			<li data-param="age" data-id="{{age}}"><span>{{age}}&nbsp;jaar</span></li>
+			{% end %}
+		</ul>
+		<h4>emotie</h4>
+		<ul>
+			{% for emotion in emotions %}
+			<li data-param="emotion" data-id="{{emotion.id}}"><span>{{emotion.name}}</span></li>
+			{% end %}
+		</ul>
+		<ul>
+			<li data-param="no" data-id="thing"><span>toon&nbsp;alles</span></li>
+		</ul>
+		<!-- <h4>Kleur???</h4> -->
+	</aside>
+	<aside id='works'>
+	</aside>
+	<aside id='stats'>
+		<h4>Emoties</h4>
+
+		<h4>Licht/donker</h4>
+
+	</aside>
+	<div id='main'>
+		<svg viewBox="-160 -160 320 320" xmlns="http://www.w3.org/2000/svg" style="width:100%;height:100%">
+			<defs>
+				<mask id="mask1" x="0" y="0" width="100" height="100" >
+					<circle r='155' cx="0" cy="0" style='fill:white;' />
+					<circle r='50' cx="0" cy="0" style="fill:black" />
+				</mask>
+			</defs>
+			<circle r='155' cx="0" cy="0" style='stroke:none;fill:rgba(0,0,0,0.1);mask: url(#mask1);' />
+		</svg>
+
+		<svg id="spinner" version="1.1" xmlns="http://www.w3.org/2000/svg" x="0px" y="0px" viewBox="0 0 1000 1000" style="width:5%;height:5%;top:47.5%;left:47.5%;">
+		<g><path d="M500,964.2c-130.9,0-253.9-51-346.5-143.5C61,728.1,10,605.1,10,474.2c0-92.7,26-182.9,75.2-261C133.1,137.3,200.7,76,280.8,35.8l41.2,82.1c-65.1,32.6-120.1,82.5-159,144.2c-40,63.4-61.1,136.6-61.1,212c0,219.5,178.6,398.1,398.1,398.1c219.5,0,398.1-178.6,398.1-398.1c0-75.3-21.1-148.6-61.1-212c-38.9-61.7-93.9-111.6-159-144.2l41.2-82.1C799.3,76,866.9,137.3,914.8,213.2c49.2,78.1,75.2,168.3,75.2,261c0,130.9-51,253.9-143.5,346.5C753.9,913.2,630.9,964.2,500,964.2z"/></g>
+		</svg>
+
+		<svg viewBox="-160 -160 320 320" xmlns="http://www.w3.org/2000/svg" style="width:100%;height:100%" id="colourImage">
+		</svg>
+	</div>
+
+	<script type="text/javascript">
+	function updateProgress(evt)
+	{
+		console.log(evt);
+	}
+	function transferComplete(evt, r)
+	{
+		// console.log(evt);
+		var div = document.createElement('div');
+		div.innerHTML = evt.target.response;
+		document.getElementById('colourImage').innerHTML = div.children[0].innerHTML;
+		document.body.classList.remove('loading');
+	}
+	function transferFailed(evt)
+	{
+		console.log(evt);
+	}
+	function transferCanceled(evt)
+	{
+		console.log(evt);
+	}
+
+	var links = document.getElementById('selects').getElementsByTagName("li");
+	for(let link of links)
+	{
+		link.onclick = function() {
+			document.body.classList.add('loading');
+			// document.getElementById('colourImage').innerHTML = "";
+			console.log('click',this.dataset.param, this.dataset.id);
+			var oReq = new XMLHttpRequest();
+			oReq.addEventListener("progress", updateProgress);
+			oReq.addEventListener("load", transferComplete);
+			oReq.addEventListener("error", transferFailed);
+			oReq.addEventListener("abort", transferCanceled);
+			oReq.open("GET", "/colours?"+this.dataset.param+"="+this.dataset.id+"&elId=colourImage");
+			oReq.send()
+
+			for(let unsetLink of links) {
+				unsetLink.classList.remove('selected');
+			}
+			this.classList.add('selected');
+		}.bind(link)
+	}
+	// var colourImage = document.getElementById('colourImage');
+	// var i = 0;
+	// for(let circle of colourImage.children) {
+	// 	i++;
+	// 	// console.log(circle);
+	// 	setTimeout(function() {
+	// 		this.remove();
+	// 	}.bind(circle), i * 3);
+	// }
+</script>
+</body>
+</html>
\ No newline at end of file
diff --git a/ways_of_seeing_images.ipynb b/ways_of_seeing_images.ipynb
new file mode 100644
index 0000000..398b0db
--- /dev/null
+++ b/ways_of_seeing_images.ipynb
@@ -0,0 +1,923 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "collapsed": false,
+    "deletable": true,
+    "editable": true
+   },
+   "outputs": [],
+   "source": [
+    "#%quickref\n",
+    "%qtconsole"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {
+    "collapsed": false,
+    "deletable": true,
+    "editable": true
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Scan for files in /home/ruben/Documents/Projecten/2017/ALLES WAT IK VOEL/testimages\n",
+      "Found 14 files\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Load the files for scanning\n",
+    "from matplotlib.pyplot import imshow\n",
+    "import glob, os\n",
+    "\n",
+    "target_path = os.path.join(os.getcwd(), \"testimages\")\n",
+    "\n",
+    "print (\"Scan for files in {}\".format(target_path));\n",
+    "\n",
+    "files = glob.glob(os.path.join(target_path, '*.jpg'));\n",
+    "print (\"Found {} files\".format(len(files)))\n",
+    "\n",
+    "# .. for now we assume all are images"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {
+    "collapsed": false,
+    "deletable": true,
+    "editable": true
+   },
+   "outputs": [],
+   "source": [
+    "# load as PIL Images\n",
+    "from PIL import Image\n",
+    "images = [Image.open(file) for file in files]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {
+    "collapsed": false,
+    "deletable": true,
+    "editable": true
+   },
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "\n",
+    "arrays = [np.array(image) for image in images]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {
+    "collapsed": false,
+    "deletable": true,
+    "editable": true
+   },
+   "outputs": [],
+   "source": [
+    "def getChannelImagesFromImage(arrImg):\n",
+    "    \"\"\"\n",
+    "    [(255,255,255)] => ( [(255,0,0)], [(0,255,0)], [(0,0,255)] )\n",
+    "    Three separate images that show individual channels\n",
+    "    \"\"\"\n",
+    "    red = arrImg.copy()\n",
+    "    red[:,:,1] = 0\n",
+    "    red[:,:,2] = 0\n",
+    "\n",
+    "    green = arrImg.copy()\n",
+    "    green[:,:,0] = 0\n",
+    "    green[:,:,2] = 0\n",
+    "\n",
+    "    blue = arrImg.copy()\n",
+    "    blue[:,:,0] = 0\n",
+    "    blue[:,:,1] = 0\n",
+    "    return (red, green, blue)\n",
+    "\n",
+    "# (red,green,blue) = getChannelImagesFromImage(arrays[0])\n",
+    "# print (red)\n",
+    "# images[0].show()\n",
+    "# Image.fromarray(red).show()\n",
+    "# Image.fromarray(green).show()\n",
+    "# Image.fromarray(blue).show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {
+    "collapsed": false,
+    "deletable": true,
+    "editable": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.image.AxesImage at 0x7f0d928f2828>"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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KWd5g50QH5Q0BSaVyZKO2FnxhSNsRWoBdLeg0NVmu8a7mw9cCrKxDmkO/gmtL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rVZ0vxB/PKjpLkBusIjX/tJ/NYMleZraO2RDk/TkDWK7jxrl56m4LboyhoDg/chlubxLj0FvVVa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\nbZka6iNTYpil2V9iOFml9ENMtCSi5gnX4lFFrBxRVqBL6oWhqvcZBPANLBG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LlsgnW3Ub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jFVj1QMcCEFNcTVA2RICd6TJBF5yIjTOaL2DOONM3jXR+sEx1TDa/BDwrgAX0BSIvQUSmyD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GSJcj5QbOp83p+vQOWSYp8hYzSY9SO4SXeB8QspGZeVEjUE1nKUyjMBAOgQcnKFwJkaIM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\nzDEDzI3vHHPMMccMMDe+c8wxxxwzwP8Bgd2Ove5eZTgAAAAASUVORK5CYII=\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7f0d929ad198>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "def getImageAsHSV(image):\n",
+    "    hsv = np.array(image.convert('HSV'))\n",
+    "\n",
+    "#     If you want to get individual channels use\n",
+    "#     hue = hsv[:,:,0]\n",
+    "#     sat = hsv[:,:,1]\n",
+    "#     val = hsv[:,:,2]\n",
+    "\n",
+    "#     hue = hsv.copy()\n",
+    "#     hsv[:,:,0] = 255 #all hue to 100%\n",
+    "#     hsv[:,:,1] = 255 #all saturation to 100%\n",
+    "#     hsv[:,:,2] = 255 #all brightness to 100%\n",
+    "    return hsv\n",
+    "\n",
+    "# hue_img = Image.fromarray(getImageAsHSV(images[4]), mode=\"HSV\")\n",
+    "\n",
+    "# %matplotlib inline\n",
+    "# imshow(np.asarray(hue_img.convert('RGB')))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {
+    "collapsed": false,
+    "deletable": true,
+    "editable": true
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "452 640 3\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.image.AxesImage at 0x7f0d872a0e10>"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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OretktJFXMJweElFQ0x3UkywNP6FL7aGhtKCLi5nK4SsFEr+Cr+RIz/8IyY7H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YBw7YaUy0d0nEBKvX095wIximbBSCeNFt343K1zrPVY69F6jBsvE7yPhACjUbn9fasM1vrxZDUd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\ntVEYtAXhzNrvrTNYSj2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H4zlLPXO556wrqrkm0GxNdJV7tK787nq9lHkRmCYPEvr1U4pl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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7f0d92b11f60>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# sorting pixels by hue\n",
+    "# http://stackoverflow.com/a/2828121\n",
+    "# Sort by column: a[a[:,1].argsort()]\n",
+    "hsv = np.array(images[4].convert('HSV'))\n",
+    "print (len(hsv), len(hsv[0]), len(hsv[0,0]))\n",
+    "height = len(hsv)\n",
+    "singleLine = np.concatenate(hsv)\n",
+    "sortedLine = np.array(sorted(singleLine, key=lambda pixel: pixel[0])) # change pixel[0] to 1 or 2 for saturation & brightness\n",
+    "sortedImage = sortedLine.reshape(int(len(sortedLine)/height), height, 3)\n",
+    "\n",
+    "sortedImg = Image.fromarray(sortedImage, mode=\"HSV\")\n",
+    "\n",
+    "sortedImg.show()\n",
+    "\n",
+    "%matplotlib inline\n",
+    "imshow(np.asarray(sortedImg.convert('RGB')))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 63,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Total 289280\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "[<matplotlib.lines.Line2D at 0x7f0d7df97a58>]"
+      ]
+     },
+     "execution_count": 63,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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apUxtCsY7bkZ/O/AssA143BizRUTuFpEb3N0ewMnwm4AvAsPKOhUHx+l71TvuNAzq9MsS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\nSXtICV0m3pcmr9O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GGJ589xDhoDC9KsIL249y8yULeWvvcU5rqKala4C1+zq49pw59CUs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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7f0d84099f28>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "hues = np.zeros(255)\n",
+    "\n",
+    "# Get the spread of hue in an image\n",
+    "# for image in images:\n",
+    "image = images[4]\n",
+    "hsv = np.array(image.convert('HSV'))\n",
+    "hue = hsv[:,:,0]\n",
+    "print(\"Total %s\" % len(hue.flatten()))\n",
+    "values, boxes =  scipy.histogram(hue, 255, range=(0,255), density=True)\n",
+    "# print(values)\n",
+    "\n",
+    "from pylab import *\n",
+    "plot(values)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 137,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "import struct\n",
+    "import scipy\n",
+    "import scipy.misc\n",
+    "import scipy.cluster\n",
+    "import codecs\n",
+    "from IPython.display import Markdown, display, HTML\n",
+    "\n",
+    "NUM_CLUSTERS = 64\n",
+    "\n",
+    "def getColourAsHex(colour):\n",
+    "    return '#' + ''.join(format(c, '02x') for c in colour.astype(int))\n",
+    "\n",
+    "def getColoursForImageByClusters(image):\n",
+    "    \"\"\"\n",
+    "    Adapted on answers by\n",
+    "    Peter Hansen (http://stackoverflow.com/a/3244061)\n",
+    "    & Johan Mickos (http://stackoverflow.com/a/34140327)\n",
+    "    \"\"\"\n",
+    "    im = image.copy().resize((150, 150))      # optional, to reduce time\n",
+    "    ar = scipy.misc.fromimage(im)\n",
+    "    shape = ar.shape\n",
+    "    ar = ar.reshape(scipy.product(shape[:2]), shape[2])\n",
+    "\n",
+    "#     print( 'finding clusters')\n",
+    "    codes, dist = scipy.cluster.vq.kmeans(ar.astype(float), NUM_CLUSTERS)\n",
+    "#     print ('cluster centres:\\n', codes)\n",
+    "    \n",
+    "    vecs, dist = scipy.cluster.vq.vq(ar, codes)         # assign codes\n",
+    "    counts, bins = scipy.histogram(vecs, len(codes))    # count occurrences\n",
+    "    \n",
+    "# When only looking for single color:    \n",
+    "#     index_max = scipy.argmax(counts)                    # find most frequent\n",
+    "#     peak = codes[index_max]\n",
+    "#     colour = ''.join(chr(c) for c in peak).encode('hex')\n",
+    "#     print( 'most frequent is %s (#%s)' % (peak, colour))\n",
+    "    \n",
+    "    percentages = 100 * counts / sum(counts)\n",
+    "#     print(\"Percentages\", percentages)\n",
+    "#     colours = [ in codes]\n",
+    "#     print(colours)\n",
+    "    return list(zip(codes, percentages))\n",
+    "\n",
+    "def getColoursForImageByPxAvg(image):\n",
+    "    im = image.copy().resize((8, 8))\n",
+    "    pixels = np.concatenate(scipy.misc.fromimage(im))\n",
+    "#     colours = ['#' + ''.join(format(c, '02x') for c in color.astype(int)) for color in pixels]\n",
+    "    percentages = np.zeros(len(pixels)) + (100 / len(pixels))\n",
+    "    return list(zip(pixels, percentages))\n",
+    "\n",
+    "def getColoursAsHTML(colours):\n",
+    "    return \" \".join(['<span style=\"background:%s\">%s - (%s %%)</span>' % (getColourAsHex(colour[0]), getColourAsHex(colour[0]), colour[1]) for colour in colours]);\n",
+    "\n",
+    "# for image in images:\n",
+    "#     display(image)\n",
+    "#     print(\"Method 1: clustering (%s clusters)\" % NUM_CLUSTERS)\n",
+    "#     colours = getColoursForImageByClusters(image)\n",
+    "#     display(HTML(getColoursAsHTML(colours)))\n",
+    "    \n",
+    "#     print(\"Method 2: scaling\")\n",
+    "#     colours = getColoursForImageByPxAvg(image)\n",
+    "#     display(HTML(getColoursAsHTML(colours)))\n",
+    "    \n",
+    "#     break"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 142,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
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+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "print(\"Get colours for all images\")\n",
+    "imgColours = []\n",
+    "for image in images:\n",
+    "#     display(image)\n",
+    "    colours = getColoursForImageByClusters(image)\n",
+    "    imgColours.append(colours)\n",
+    "    output = getColoursAsHTML(colours)\n",
+    "    display(HTML(output))\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 74,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[[[233   3 166]\n",
+      "  [233   3 167]\n",
+      "  [233   3 167]\n",
+      "  ..., \n",
+      "  [198   4 173]\n",
+      "  [198   4 172]\n",
+      "  [198   4 172]]\n",
+      "\n",
+      " [[233   3 167]\n",
+      "  [233   3 167]\n",
+      "  [233   3 168]\n",
+      "  ..., \n",
+      "  [198   4 173]\n",
+      "  [198   4 172]\n",
+      "  [198   4 172]]\n",
+      "\n",
+      " [[233   3 168]\n",
+      "  [233   3 168]\n",
+      "  [233   3 169]\n",
+      "  ..., \n",
+      "  [198   4 173]\n",
+      "  [198   4 172]\n",
+      "  [198   4 172]]\n",
+      "\n",
+      " ..., \n",
+      " [[  7  17 178]\n",
+      "  [  3  16 175]\n",
+      "  [  3  15 177]\n",
+      "  ..., \n",
+      "  [205   8 174]\n",
+      "  [221   7 172]\n",
+      "  [221   7 171]]\n",
+      "\n",
+      " [[  3 115  75]\n",
+      "  [  3 109  79]\n",
+      "  [  3  99  87]\n",
+      "  ..., \n",
+      "  [  0  21 164]\n",
+      "  [  2  24 155]\n",
+      "  [  7  29 148]]\n",
+      "\n",
+      " [[ 16 186 111]\n",
+      "  [ 17 179 112]\n",
+      "  [ 17 184 109]\n",
+      "  ..., \n",
+      "  [ 13 172 105]\n",
+      "  [ 15 177 105]\n",
+      "  [ 15 177 105]]]\n",
+      "[[233   3 166]\n",
+      " [233   3 167]\n",
+      " [233   3 167]\n",
+      " ..., \n",
+      " [ 13 172 105]\n",
+      " [ 15 177 105]\n",
+      " [ 15 177 105]]\n"
+     ]
+    }
+   ],
+   "source": [
+    "hues\n",
+    "\n",
+    "for image in images:\n",
+    "    img = image.copy().resize((150, 150)).convert('HSV')      # optional scale, to reduce time\n",
+    "    ar = np.array(img)\n",
+    "    shape = ar.shape\n",
+    "    ar = ar.reshape(scipy.product(shape[:2]), shape[2])\n",
+    "    \n",
+    "    print(ar)\n",
+    "    break\n",
+    "#     Find a way to limit these per image without sacrificing the maximums in the detail\n",
+    "#     Finding maximums, or _clustering_!\n",
+    "    "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 153,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "#concatenate found colours of all images into one\n",
+    "allColours = sum(imgColours)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 182,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
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+     ]
+    }
+   ],
+   "source": [
+    "import colorsys\n",
+    "import math\n",
+    "\n",
+    "# box 160, because center or circle = 100 => +/- 50 => + r of colour circle (max: 10) => 160\n",
+    "svg = '<svg viewBox=\"-160 -160 320 320\" xmlns=\"http://www.w3.org/2000/svg\">'\n",
+    "\n",
+    "radius = 100\n",
+    "\n",
+    "for colour in allColours:\n",
+    "    rgb, percentage = colour\n",
+    "    rgbNorm = rgb/255\n",
+    "    hsv = colorsys.rgb_to_hsv(rgbNorm[0], rgbNorm[1], rgbNorm[2])\n",
+    "    # find position on circle\n",
+    "    radians = 2 * math.pi * hsv[0]\n",
+    "    x = math.cos(radians)\n",
+    "    y = math.sin(radians)\n",
+    "    \n",
+    "    # based on saturation, we move inwards/outwards\n",
+    "    # min = 0.5, max = 1.5 (dus + 0.5)\n",
+    "    pos = np.array([x,y]) * (0.5 + hsv[1]) * radius\n",
+    "    # Posibilitiy: determine position based on avg(saturation, value) => dark & grey inside, shiney and colourful outside \n",
+    "    # pos = np.array([x,y]) * (0.5 + (hsv[1]+hsv[2])/2) * radius\n",
+    "    r = max(1,-10/percentage+10) # as r, we converge to maximum radius 10, but don't want to get smaller radi then 1\n",
+    "    c = '<circle cx=\"%s\" cy=\"%s\" r=\"%s\" style=\"fill:%s\" />' % (pos[0], pos[1], r, getColourAsHex(rgb))\n",
+    "    svg += c\n",
+    "\n",
+    "svg += \"</svg>\"\n",
+    "\n",
+    "print (svg)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 228,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "import json\n",
+    "\n",
+    "def coloursToJson(colours):\n",
+    "    colours2 = [(list(colour[0]), colour[1]) for colour in colours]\n",
+    "    return json.dumps(colours2)\n",
+    "\n",
+    "def jsonToColours(string):\n",
+    "    data = json.loads(string)\n",
+    "    return [(np.array(d[0]), d[1]) for d in data]\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 229,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "from peewee import *\n",
+    "from playhouse.sqlite_ext import SqliteExtDatabase\n",
+    "import datetime\n",
+    "\n",
+    "class ColoursField(TextField):\n",
+    "#     db_field = 'colour'\n",
+    "\n",
+    "    def db_value(self, value):\n",
+    "        return coloursToJson(value)\n",
+    "\n",
+    "    def python_value(self, value):\n",
+    "        return jsonToColours(value) # convert str to UUID\n",
+    "\n",
+    "db = SqliteExtDatabase('images.db')\n",
+    "\n",
+    "class BaseModel(Model):\n",
+    "    class Meta:\n",
+    "        database = db\n",
+    "        \n",
+    "class Emotion(BaseModel):\n",
+    "    name = CharField(unique=True)\n",
+    "        \n",
+    "class Group(BaseModel):\n",
+    "    name = CharField(unique=True)\n",
+    "\n",
+    "class Artwork(BaseModel):\n",
+    "    author = CharField()\n",
+    "    age = SmallIntegerField(index=True)\n",
+    "    gender = FixedCharField(max_length=1) # we should not really use this one\n",
+    "    group = ForeignKeyField(Group, related_name='artworks', index=True)\n",
+    "    emotion = ForeignKeyField(Emotion, related_name='artworks', index=True)\n",
+    "    created_date = DateTimeField(default=datetime.datetime.now)\n",
+    "    filename = CharField()\n",
+    "    colours = ColoursField() # serialised colours + percentages: [([r,g,b], percentage), ...]\n",
+    "\n",
+    "db.connect()\n",
+    "db.create_tables([Emotion, Group, Artwork])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 230,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "m 40\n",
+      "u 41\n",
+      "f 42\n",
+      "f 43\n",
+      "u 44\n",
+      "u 45\n",
+      "f 46\n",
+      "f 47\n",
+      "m 48\n",
+      "f 49\n",
+      "m 410\n",
+      "m 411\n",
+      "f 412\n",
+      "m 413\n",
+      "m 414\n",
+      "f 415\n",
+      "f 416\n",
+      "u 417\n",
+      "f 418\n",
+      "m 419\n",
+      "f 50\n",
+      "f 51\n",
+      "m 52\n",
+      "f 53\n",
+      "u 54\n",
+      "f 55\n",
+      "u 56\n",
+      "f 57\n",
+      "u 58\n",
+      "m 59\n",
+      "u 510\n",
+      "f 511\n",
+      "u 512\n",
+      "m 513\n",
+      "u 514\n",
+      "u 515\n",
+      "u 516\n",
+      "u 517\n",
+      "f 518\n",
+      "m 519\n",
+      "m 60\n",
+      "f 61\n",
+      "f 62\n",
+      "f 63\n",
+      "m 64\n",
+      "m 65\n",
+      "f 66\n",
+      "u 67\n",
+      "f 68\n",
+      "u 69\n",
+      "u 610\n",
+      "m 611\n",
+      "m 612\n",
+      "f 613\n",
+      "m 614\n",
+      "f 615\n",
+      "u 616\n",
+      "u 617\n",
+      "f 618\n",
+      "m 619\n",
+      "u 70\n",
+      "u 71\n",
+      "f 72\n",
+      "f 73\n",
+      "m 74\n",
+      "u 75\n",
+      "m 76\n",
+      "f 77\n",
+      "f 78\n",
+      "u 79\n",
+      "f 710\n",
+      "f 711\n",
+      "u 712\n",
+      "f 713\n",
+      "f 714\n",
+      "u 715\n",
+      "f 716\n",
+      "m 717\n",
+      "m 718\n",
+      "u 719\n"
+     ]
+    }
+   ],
+   "source": [
+    "import random\n",
+    "from PIL import Image\n",
+    "\n",
+    "emos = [\"anger\",\"contempt\",\"disgust\",\"fear\",\"joy\",\"sadness\",\"surprise\"]\n",
+    "emotions = []\n",
+    "for emo in emos:\n",
+    "    emotion = Emotion(name=emo)\n",
+    "    emotion.save()\n",
+    "    emotions.append(emotion)\n",
+    "\n",
+    "# # Generate some random data:\n",
+    "for i in range(4,8):\n",
+    "    group = Group.create(name='Groep %s' % i)\n",
+    "    group.save()\n",
+    "    \n",
+    "#     some images:\n",
+    "    for j in range(20):\n",
+    "        genders = ['m','f','u']\n",
+    "        img = Artwork()\n",
+    "        img.gender = random.choice(genders)\n",
+    "        img.author = \"%s %s%s\" %  (img.gender, i,j)\n",
+    "        img.age = i + 4 + random.choice([-1,0,0,0,0,1,1,2])\n",
+    "        img.group = group\n",
+    "        img.emotion = random.choice(emotions)\n",
+    "        img.filename = random.choice(files)\n",
+    "        img.colours = getColoursForImageByClusters(Image.open(img.filename))\n",
+    "        img.save()\n",
+    "        print(img.author)\n",
+    "    \n",
+    "\n",
+    "# # No need to set `is_published` or `created_date` since they\n",
+    "# # will just use the default values we specified.\n",
+    "# Tweet.create(user=charlie, message='My first tweet')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 211,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
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+      ]
+     },
+     "execution_count": 211,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
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+  "language_info": {
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+    "name": "ipython",
+    "version": 3
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+   "file_extension": ".py",
+   "mimetype": "text/x-python",
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+   "nbconvert_exporter": "python",
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