color reconstruction

Author: shubham1810

class_15/.ipynb_checkpoints/Conv-Auto_Enc-checkpoint.ipynb

@@ -0,0 +1,6 @@
+{
+ "cells": [],
+ "metadata": {},
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

class_15/.ipynb_checkpoints/Untitled-checkpoint.ipynb

@@ -0,0 +1,124 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Using TensorFlow backend.\n"
+     ]
+    }
+   ],
+   "source": [
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "import cv2\n",
+    "import os\n",
+    "from matplotlib import pyplot as plt\n",
+    "%matplotlib inline\n",
+    "\n",
+    "import keras\n",
+    "from keras.layers import Dense, Convolution2D, MaxPooling2D, Activation, Flatten\n",
+    "from keras.layers import Reshape, UpSampling2D, ZeroPadding2D, Input\n",
+    "from keras.models import Sequential, Model"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "data_path = '../../Dataset/JPEGImages/'"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "4000\n"
+     ]
+    }
+   ],
+   "source": [
+    "ims = os.listdir(data_path)\n",
+    "\n",
+    "select_ims = []\n",
+    "for ix in range(4000):\n",
+    "    if '.jpg' in ims[ix]:\n",
+    "        img = cv2.imread(data_path + ims[ix])\n",
+    "        img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)\n",
+    "        img = cv2.resize(img, (120, 120))\n",
+    "        select_ims.append(img)\n",
+    "print len(select_ims)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(4000, 320, 320, 3)\n"
+     ]
+    }
+   ],
+   "source": [
+    "data = np.asarray(select_ims)\n",
+    "print data.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "np.save('image_data', data)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 2",
+   "language": "python",
+   "name": "python2"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 2
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython2",
+   "version": "2.7.12"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}