diff --git a/groep6/DSmeetup_waterdetectie.ipynb b/groep6/DSmeetup_waterdetectie.ipynb
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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Detectie van water\n",
+    "\n",
+    "\n",
+    "Schaal van plaatjes: 1 pixel is 10x10cm \n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from PIL import Image\n",
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "\n",
+    "# Load image to np-data frame (function from tiff.py)\n",
+    "\n",
+    "def img2df(path):\n",
+    "    ''' read an image into a dataframe '''\n",
+    "    img = Image.open(path)\n",
+    "    img.size = (1024, 1024)\n",
+    "    #img.show()  # to see image\n",
+    "    arr = np.array(img.getdata())\n",
+    "    df = pd.DataFrame(arr)\n",
+    "    return df\n",
+    "\n",
+    "# Specify coordinates and load image:\n",
+    "coords = '163600.0_563400.0'\n",
+    "\n",
+    "# read image\n",
+    "img = img2df('tegels100x100/data/%s.tif' % coords)\n",
+    "\n",
+    "img.columns = ['R', 'G', 'B']\n",
+    "\n",
+    "# img.shape = (1048576, 3), which is length (1024x1024) by width 3 (RGB)\n",
+    "\n",
+    "# View \n",
+    "img.head()\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Using openCV\n",
+    "\n",
+    "\n",
+    "https://media.readthedocs.org/pdf/opencv-python-tutroals/latest/opencv-python-tutroals.pdf\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 48,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import cv2\n",
+    "\n",
+    "coords = '163600.0_563400.0'\n",
+    "\n",
+    "img = cv2.imread('tegels100x100/data/%s.tif' % coords)\n",
+    "imglabel = cv2.imread('tegels100x100/labels/WaterVlakkenRasterUitBGT_%s.tif' % coords)\n",
+    "\n",
+    "def show(image):\n",
+    "    cv2.imshow('image %s.tif' %coords,image)  \n",
+    "    # Show image, press ESC to exit\n",
+    "    k = cv2.waitKey(0)\n",
+    "    if k == 27: # wait for ESC key to exit\n",
+    "        cv2.destroyAllWindows()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# To see the image:\n",
+    "show(img)\n",
+    "show(imglabel)\n",
+    "\n",
+    "# Get to the first pixels BGR values, get the green value: (NOTE: order is here BGR instead of RGB)\n",
+    "img[0,0], img[0,0,1]\n",
+    "\n",
+    "# Take red color out:\n",
+    "#img[:,:,2] =0\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 54,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n",
+    " "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 56,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Compare image with its label:\n",
+    "\n",
+    "img1 = img\n",
+    "img2 = imglabel\n",
+    "dst = cv2.addWeighted(img1,0.5,img2,0.5,0)\n",
+    "cv2.imshow('dst',dst)\n",
+    "\n",
+    "cv2.imwrite('overlapwithlabel.png',dst)\n",
+    "\n",
+    "cv2.waitKey(0)\n",
+    "cv2.destroyAllWindows()\n",
+    "\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}