logo_clf_sliding_window.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Populating the interactive namespace from numpy and matplotlib\n"
     ]
    }
   ],
   "source": [
    "% pylab inline\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import os\n",
    "import cv2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "read_data=pd.read_csv('flickr_logos_27_dataset/flickr_logos_27_dataset_training_set_annotation.txt',sep=\" \",header=None)\n",
    "read_data.drop(read_data.columns[len(read_data.columns)-1], axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "read_data.columns=[\"ID\",\"labels\",\"random\",\"x1\",\"y1\",\"x2\",\"y2\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ID</th>\n",
       "      <th>labels</th>\n",
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       "      <td>Adidas</td>\n",
       "      <td>1</td>\n",
       "      <td>285</td>\n",
       "      <td>61</td>\n",
       "      <td>317</td>\n",
       "      <td>79</td>\n",
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       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>4763210295.jpg</td>\n",
       "      <td>Adidas</td>\n",
       "      <td>1</td>\n",
       "      <td>285</td>\n",
       "      <td>298</td>\n",
       "      <td>324</td>\n",
       "      <td>329</td>\n",
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       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>4763210295.jpg</td>\n",
       "      <td>Adidas</td>\n",
       "      <td>1</td>\n",
       "      <td>377</td>\n",
       "      <td>292</td>\n",
       "      <td>421</td>\n",
       "      <td>324</td>\n",
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       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>4763210295.jpg</td>\n",
       "      <td>Adidas</td>\n",
       "      <td>1</td>\n",
       "      <td>383</td>\n",
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       "      <td>Adidas</td>\n",
       "      <td>2</td>\n",
       "      <td>129</td>\n",
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       "      <td>257</td>\n",
       "      <td>423</td>\n",
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       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>1230939811.jpg</td>\n",
       "      <td>Adidas</td>\n",
       "      <td>2</td>\n",
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       "      <td>243</td>\n",
       "      <td>395</td>\n",
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       "    <tr>\n",
       "      <th>14</th>\n",
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       "      <td>Adidas</td>\n",
       "      <td>2</td>\n",
       "      <td>18</td>\n",
       "      <td>2</td>\n",
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       "      <td>Adidas</td>\n",
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       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>3294282629.jpg</td>\n",
       "      <td>Adidas</td>\n",
       "      <td>2</td>\n",
       "      <td>127</td>\n",
       "      <td>324</td>\n",
       "      <td>206</td>\n",
       "      <td>381</td>\n",
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       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>3294282629.jpg</td>\n",
       "      <td>Adidas</td>\n",
       "      <td>2</td>\n",
       "      <td>129</td>\n",
       "      <td>109</td>\n",
       "      <td>206</td>\n",
       "      <td>162</td>\n",
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       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>3294282629.jpg</td>\n",
       "      <td>Adidas</td>\n",
       "      <td>2</td>\n",
       "      <td>132</td>\n",
       "      <td>176</td>\n",
       "      <td>206</td>\n",
       "      <td>234</td>\n",
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       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>3294282629.jpg</td>\n",
       "      <td>Adidas</td>\n",
       "      <td>2</td>\n",
       "      <td>212</td>\n",
       "      <td>111</td>\n",
       "      <td>287</td>\n",
       "      <td>165</td>\n",
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       "      <td>3294282629.jpg</td>\n",
       "      <td>Adidas</td>\n",
       "      <td>2</td>\n",
       "      <td>213</td>\n",
       "      <td>180</td>\n",
       "      <td>288</td>\n",
       "      <td>236</td>\n",
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       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>3294282629.jpg</td>\n",
       "      <td>Adidas</td>\n",
       "      <td>2</td>\n",
       "      <td>213</td>\n",
       "      <td>253</td>\n",
       "      <td>290</td>\n",
       "      <td>312</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>3294282629.jpg</td>\n",
       "      <td>Adidas</td>\n",
       "      <td>2</td>\n",
       "      <td>213</td>\n",
       "      <td>327</td>\n",
       "      <td>287</td>\n",
       "      <td>382</td>\n",
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       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>3294282629.jpg</td>\n",
       "      <td>Adidas</td>\n",
       "      <td>2</td>\n",
       "      <td>294</td>\n",
       "      <td>109</td>\n",
       "      <td>373</td>\n",
       "      <td>167</td>\n",
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       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>3294282629.jpg</td>\n",
       "      <td>Adidas</td>\n",
       "      <td>2</td>\n",
       "      <td>294</td>\n",
       "      <td>327</td>\n",
       "      <td>372</td>\n",
       "      <td>383</td>\n",
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       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>3294282629.jpg</td>\n",
       "      <td>Adidas</td>\n",
       "      <td>2</td>\n",
       "      <td>295</td>\n",
       "      <td>252</td>\n",
       "      <td>372</td>\n",
       "      <td>311</td>\n",
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       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>3294282629.jpg</td>\n",
       "      <td>Adidas</td>\n",
       "      <td>2</td>\n",
       "      <td>296</td>\n",
       "      <td>179</td>\n",
       "      <td>370</td>\n",
       "      <td>234</td>\n",
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       "    <tr>\n",
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       "      <td>4061203382.jpg</td>\n",
       "      <td>Adidas</td>\n",
       "      <td>2</td>\n",
       "      <td>155</td>\n",
       "      <td>206</td>\n",
       "      <td>241</td>\n",
       "      <td>252</td>\n",
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       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>4499338915.jpg</td>\n",
       "      <td>Adidas</td>\n",
       "      <td>2</td>\n",
       "      <td>72</td>\n",
       "      <td>20</td>\n",
       "      <td>392</td>\n",
       "      <td>210</td>\n",
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       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>144503924.jpg</td>\n",
       "      <td>Adidas</td>\n",
       "      <td>2</td>\n",
       "      <td>38</td>\n",
       "      <td>12</td>\n",
       "      <td>234</td>\n",
       "      <td>142</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>6</td>\n",
       "      <td>108</td>\n",
       "      <td>175</td>\n",
       "      <td>178</td>\n",
       "      <td>201</td>\n",
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       "    <tr>\n",
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       "      <td>338</td>\n",
       "      <td>188</td>\n",
       "      <td>424</td>\n",
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       "      <td>80</td>\n",
       "      <td>194</td>\n",
       "      <td>170</td>\n",
       "      <td>243</td>\n",
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       "      <th>4509</th>\n",
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       "      <td>5</td>\n",
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       "      <th>4510</th>\n",
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       "      <td>129</td>\n",
       "      <td>44</td>\n",
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       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
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       "    <tr>\n",
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       "      <td>13</td>\n",
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       "      <td>40</td>\n",
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       "      <td>4</td>\n",
       "      <td>2</td>\n",
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       "    <tr>\n",
       "      <th>4518</th>\n",
       "      <td>3854044541.jpg</td>\n",
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       "      <td>270</td>\n",
       "      <td>196</td>\n",
       "      <td>322</td>\n",
       "      <td>213</td>\n",
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       "    <tr>\n",
       "      <th>4519</th>\n",
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       "      <td>151</td>\n",
       "      <td>10</td>\n",
       "      <td>308</td>\n",
       "      <td>45</td>\n",
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       "    <tr>\n",
       "      <th>4520</th>\n",
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       "      <td>Yahoo</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>227</td>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4521</th>\n",
       "      <td>2727066466.jpg</td>\n",
       "      <td>Yahoo</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>75</td>\n",
       "      <td>345</td>\n",
       "      <td>184</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4522</th>\n",
       "      <td>3002734592.jpg</td>\n",
       "      <td>Yahoo</td>\n",
       "      <td>6</td>\n",
       "      <td>75</td>\n",
       "      <td>5</td>\n",
       "      <td>322</td>\n",
       "      <td>63</td>\n",
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       "    <tr>\n",
       "      <th>4523</th>\n",
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       "      <td>Yahoo</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>134</td>\n",
       "      <td>247</td>\n",
       "      <td>190</td>\n",
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       "    <tr>\n",
       "      <th>4524</th>\n",
       "      <td>3950663671.jpg</td>\n",
       "      <td>Yahoo</td>\n",
       "      <td>6</td>\n",
       "      <td>175</td>\n",
       "      <td>24</td>\n",
       "      <td>240</td>\n",
       "      <td>41</td>\n",
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       "    <tr>\n",
       "      <th>4525</th>\n",
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       "      <td>Yahoo</td>\n",
       "      <td>6</td>\n",
       "      <td>125</td>\n",
       "      <td>16</td>\n",
       "      <td>177</td>\n",
       "      <td>27</td>\n",
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       "    <tr>\n",
       "      <th>4526</th>\n",
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       "      <td>Yahoo</td>\n",
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       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>183</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4528</th>\n",
       "      <td>3972897298.jpg</td>\n",
       "      <td>Yahoo</td>\n",
       "      <td>6</td>\n",
       "      <td>117</td>\n",
       "      <td>10</td>\n",
       "      <td>179</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4529</th>\n",
       "      <td>4120098544.jpg</td>\n",
       "      <td>Yahoo</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>83</td>\n",
       "      <td>492</td>\n",
       "      <td>248</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4530</th>\n",
       "      <td>50471578.jpg</td>\n",
       "      <td>Yahoo</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>221</td>\n",
       "      <td>39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4531</th>\n",
       "      <td>2126991906.jpg</td>\n",
       "      <td>Yahoo</td>\n",
       "      <td>6</td>\n",
       "      <td>15</td>\n",
       "      <td>6</td>\n",
       "      <td>253</td>\n",
       "      <td>54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4532</th>\n",
       "      <td>217288720.jpg</td>\n",
       "      <td>Yahoo</td>\n",
       "      <td>6</td>\n",
       "      <td>136</td>\n",
       "      <td>161</td>\n",
       "      <td>304</td>\n",
       "      <td>222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4533</th>\n",
       "      <td>2472817996.jpg</td>\n",
       "      <td>Yahoo</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>499</td>\n",
       "      <td>106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4534</th>\n",
       "      <td>2514220918.jpg</td>\n",
       "      <td>Yahoo</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>69</td>\n",
       "      <td>342</td>\n",
       "      <td>157</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4535</th>\n",
       "      <td>386891249.jpg</td>\n",
       "      <td>Yahoo</td>\n",
       "      <td>6</td>\n",
       "      <td>156</td>\n",
       "      <td>10</td>\n",
       "      <td>310</td>\n",
       "      <td>49</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4536 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                  ID  labels  random   x1   y1   x2   y2\n",
       "0      144503924.jpg  Adidas       1   38   12  234  142\n",
       "1     2451569770.jpg  Adidas       1  242  208  413  331\n",
       "2      390321909.jpg  Adidas       1   13    5   89   60\n",
       "3     4761260517.jpg  Adidas       1   43  122  358  354\n",
       "4     4763210295.jpg  Adidas       1   83   63  130   93\n",
       "5     4763210295.jpg  Adidas       1   91  288  125  306\n",
       "6     4763210295.jpg  Adidas       1  182   63  229   94\n",
       "7     4763210295.jpg  Adidas       1  192  291  225  306\n",
       "8     4763210295.jpg  Adidas       1  285   61  317   79\n",
       "9     4763210295.jpg  Adidas       1  285  298  324  329\n",
       "10    4763210295.jpg  Adidas       1  377  292  421  324\n",
       "11    4763210295.jpg  Adidas       1  383   55  416   76\n",
       "12    1230939811.jpg  Adidas       2  129  326  257  423\n",
       "13    1230939811.jpg  Adidas       2  137  336  243  395\n",
       "14    2550056374.jpg  Adidas       2   18    2  488  278\n",
       "15    3294282629.jpg  Adidas       2  126  252  207  311\n",
       "16    3294282629.jpg  Adidas       2  127  324  206  381\n",
       "17    3294282629.jpg  Adidas       2  129  109  206  162\n",
       "18    3294282629.jpg  Adidas       2  132  176  206  234\n",
       "19    3294282629.jpg  Adidas       2  212  111  287  165\n",
       "20    3294282629.jpg  Adidas       2  213  180  288  236\n",
       "21    3294282629.jpg  Adidas       2  213  253  290  312\n",
       "22    3294282629.jpg  Adidas       2  213  327  287  382\n",
       "23    3294282629.jpg  Adidas       2  294  109  373  167\n",
       "24    3294282629.jpg  Adidas       2  294  327  372  383\n",
       "25    3294282629.jpg  Adidas       2  295  252  372  311\n",
       "26    3294282629.jpg  Adidas       2  296  179  370  234\n",
       "27    4061203382.jpg  Adidas       2  155  206  241  252\n",
       "28    4499338915.jpg  Adidas       2   72   20  392  210\n",
       "29     144503924.jpg  Adidas       2   38   12  234  142\n",
       "...              ...     ...     ...  ...  ...  ...  ...\n",
       "4506  3469867139.jpg   Yahoo       6  108  175  178  201\n",
       "4507  3469867139.jpg   Yahoo       6  338  188  424  222\n",
       "4508  3992886999.jpg   Yahoo       6   80  194  170  243\n",
       "4509    82413169.jpg   Yahoo       6   31    5  228   47\n",
       "4510  2654519236.jpg   Yahoo       6  129   44  365  230\n",
       "4511  2767935306.jpg   Yahoo       6  117    5  350   51\n",
       "4512  3221088943.jpg   Yahoo       6    1    3  142   29\n",
       "4513  4694467394.jpg   Yahoo       6  139   13  199   40\n",
       "4514    82412168.jpg   Yahoo       6    4    2  232   45\n",
       "4515  2263927086.jpg   Yahoo       6   82  212  301  280\n",
       "4516  2792685284.jpg   Yahoo       6  104    6  345   60\n",
       "4517  3854044541.jpg   Yahoo       6  203  189  327  264\n",
       "4518  3854044541.jpg   Yahoo       6  270  196  322  213\n",
       "4519   386891274.jpg   Yahoo       6  151   10  308   45\n",
       "4520   390297596.jpg   Yahoo       6    5    7  227   59\n",
       "4521  2727066466.jpg   Yahoo       6    2   75  345  184\n",
       "4522  3002734592.jpg   Yahoo       6   75    5  322   63\n",
       "4523  3107573789.jpg   Yahoo       6    2  134  247  190\n",
       "4524  3950663671.jpg   Yahoo       6  175   24  240   41\n",
       "4525  4682534504.jpg   Yahoo       6  125   16  177   27\n",
       "4526  3797114221.jpg   Yahoo       6    1    6  217   58\n",
       "4527  3905787011.jpg   Yahoo       6    6    3  183   44\n",
       "4528  3972897298.jpg   Yahoo       6  117   10  179   27\n",
       "4529  4120098544.jpg   Yahoo       6    4   83  492  248\n",
       "4530    50471578.jpg   Yahoo       6    1    2  221   39\n",
       "4531  2126991906.jpg   Yahoo       6   15    6  253   54\n",
       "4532   217288720.jpg   Yahoo       6  136  161  304  222\n",
       "4533  2472817996.jpg   Yahoo       6    2    4  499  106\n",
       "4534  2514220918.jpg   Yahoo       6    1   69  342  157\n",
       "4535   386891249.jpg   Yahoo       6  156   10  310   49\n",
       "\n",
       "[4536 rows x 7 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "read_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "x=read_data.ID\n",
    "y=read_data[\"labels\"]\n",
    "x1=read_data.x1\n",
    "x2=read_data.x2\n",
    "y1=read_data.y1\n",
    "y2=read_data.y2\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "def crop_image(img_path,x1,y1,x2,y2):\n",
    "    img=imread(img_path)\n",
    "    image=cv2.rectangle(img, (x1, y1), (x2, y2), (255,0,0), 2)\n",
    "        \n",
    "    h=y2-y1\n",
    "    w=x2-x1\n",
    "    crop_img = img[y1:y1+h, x1:x1+w]\n",
    "    \n",
    "    return crop_img"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Original Image\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f7fee6a0510>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Cropped Image\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f7fee6a0bd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import cv2\n",
    "import random\n",
    "import matplotlib.pyplot as plt\n",
    "i=random.randint(0,x.shape[0])\n",
    "img_path=os.path.join(\"flickr_logos_27_dataset/flickr_logos_27_dataset_images\",x[i])\n",
    "crop_img=crop_image(img_path,x1[i],y1[i],x2[i],y2[i])\n",
    "\n",
    "print \"Original Image\"\n",
    "plt.imshow(imread(img_path))\n",
    "plt.show()\n",
    "\n",
    "print \"Cropped Image\"\n",
    "plt.imshow(crop_img)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python2.7/dist-packages/ipykernel_launcher.py:2: DeprecationWarning: `imread` is deprecated!\n",
      "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n",
      "Use ``imageio.imread`` instead.\n",
      "  \n",
      "/usr/local/lib/python2.7/dist-packages/ipykernel_launcher.py:20: DeprecationWarning: `imresize` is deprecated!\n",
      "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n",
      "Use ``skimage.transform.resize`` instead.\n",
      "/usr/local/lib/python2.7/dist-packages/ipykernel_launcher.py:11: DeprecationWarning: `imresize` is deprecated!\n",
      "`imresize` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n",
      "Use ``skimage.transform.resize`` instead.\n",
      "  # This is added back by InteractiveShellApp.init_path()\n"
     ]
    }
   ],
   "source": [
    "from scipy.misc import *\n",
    "\n",
    "temp=[]\n",
    "label=[]\n",
    "for index, row in read_data.iterrows():\n",
    "    img_path=os.path.join('flickr_logos_27_dataset/flickr_logos_27_dataset_images',row[\"ID\"])\n",
    "    #print row[\"x1\"],row[\"y1\"],row[\"x2\"],row[\"y2\"]\n",
    "    if row[\"labels\"]==\"Pepsi\":        \n",
    "        img=crop_image(img_path,row[\"x1\"],row[\"y1\"],row[\"x2\"],row[\"y2\"])\n",
    "        try:\n",
    "            img=imresize(img,(16,16))\n",
    "        except:\n",
    "            continue\n",
    "        img=img.astype('float32')\n",
    "        temp.append(img)\n",
    "        label.append(\"Pepsi\")\n",
    "    else:\n",
    "        img=crop_image(img_path,row[\"x1\"],row[\"y1\"],row[\"x2\"],row[\"y2\"])\n",
    "        try:\n",
    "            img=imresize(img,(16,16))\n",
    "        except:\n",
    "            continue\n",
    "        img=img.astype('float32')\n",
    "        temp.append(img)\n",
    "        label.append(\"Not Pepsi\")\n",
    "\n",
    "import numpy as np\n",
    "\n",
    "data=np.stack(temp)\n",
    "labeled_data=np.stack(label)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "4531\n",
      "4531\n"
     ]
    }
   ],
   "source": [
    "print len(labeled_data)\n",
    "print len(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f7fec523810>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Not Pepsi\n"
     ]
    }
   ],
   "source": [
    "plt.imshow(data[234],cmap='gray')\n",
    "plt.show()\n",
    "print labeled_data[234]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(4531, 16, 16, 3)\n",
      "(4531,)\n"
     ]
    }
   ],
   "source": [
    "print data.shape\n",
    "print labeled_data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "normalized_data=data/255"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import StratifiedShuffleSplit\n",
    "splitter = StratifiedShuffleSplit(n_splits=1, test_size=0.05, random_state=0)\n",
    "\n",
    "# Loop through the splits (only one)\n",
    "for train_indices, test_indices in splitter.split(normalized_data, labeled_data):\n",
    "    # Select the train and test data\n",
    "    x_train, y_train = normalized_data[train_indices], labeled_data[train_indices]\n",
    "    x_test, y_test = normalized_data[test_indices], labeled_data[test_indices]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(4304, 16, 16, 3)\n",
      "(4304,)\n",
      "(227, 16, 16, 3)\n",
      "(227,)\n"
     ]
    }
   ],
   "source": [
    "print x_train.shape\n",
    "print y_train.shape\n",
    "print x_test.shape\n",
    "print y_test.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.preprocessing import LabelEncoder\n",
    "lb = LabelEncoder()\n",
    "y_train = lb.fit_transform(y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python2.7/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n",
      "  from ._conv import register_converters as _register_converters\n",
      "Using TensorFlow backend.\n"
     ]
    }
   ],
   "source": [
    "from keras.models import Sequential\n",
    "from keras.layers import *\n",
    "\n",
    "model=Sequential()\n",
    "model.add(Conv2D(16,(3,3),padding='same',activation='relu',input_shape=(16,16,3)))\n",
    "model.add(Dropout(0.5))\n",
    "model.add(MaxPooling2D(pool_size=(2,2)))\n",
    "model.add(Conv2D(128,(3,3),padding='same',activation='relu'))\n",
    "model.add(Dropout(0.5))\n",
    "model.add(Flatten())\n",
    "model.add(Dense(128,activation='relu'))\n",
    "model.add(Dense(1,activation='sigmoid'))\n",
    "\n",
    "model.compile(loss='binary_crossentropy',optimizer='adam',metrics=['accuracy'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "from keras.preprocessing.image import ImageDataGenerator \n",
    "datagen = ImageDataGenerator(\n",
    "        featurewise_center=False,  # set input mean to 0 over the dataset\n",
    "        samplewise_center=False,  # set each sample mean to 0\n",
    "        featurewise_std_normalization=False,  # divide inputs by std of the dataset\n",
    "        samplewise_std_normalization=False,  # divide each input by its std\n",
    "        zca_whitening=False,  # apply ZCA whitening\n",
    "        rotation_range=0,  # randomly rotate images in the range (degrees, 0 to 180)\n",
    "        width_shift_range=0.1,  # randomly shift images horizontally (fraction of total width)\n",
    "        height_shift_range=0.1,  # randomly shift images vertically (fraction of total height)\n",
    "        horizontal_flip=True,  # randomly flip images\n",
    "vertical_flip=False) # randomly flip images"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "gen_flow=datagen.flow(x_train,y_train,batch_size=32,seed=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "model.load_weights('models/my_model_weights.h5')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/150\n",
      "33/33 [==============================] - 2s 69ms/step - loss: 0.1269 - acc: 0.9621\n",
      "Epoch 2/150\n",
      "33/33 [==============================] - 2s 64ms/step - loss: 0.1053 - acc: 0.9716\n",
      "Epoch 3/150\n",
      "33/33 [==============================] - 2s 65ms/step - loss: 0.1257 - acc: 0.9678\n",
      "Epoch 4/150\n",
      "33/33 [==============================] - 2s 64ms/step - loss: 0.1080 - acc: 0.9725\n",
      "Epoch 5/150\n",
      "33/33 [==============================] - 2s 66ms/step - loss: 0.1292 - acc: 0.9669\n",
      "Epoch 6/150\n",
      "33/33 [==============================] - 2s 65ms/step - loss: 0.0944 - acc: 0.9725\n",
      "Epoch 7/150\n",
      "33/33 [==============================] - 2s 65ms/step - loss: 0.0875 - acc: 0.9744\n",
      "Epoch 8/150\n",
      "33/33 [==============================] - 2s 66ms/step - loss: 0.0817 - acc: 0.9735\n",
      "Epoch 9/150\n",
      "33/33 [==============================] - 2s 66ms/step - loss: 0.0835 - acc: 0.9773\n",
      "Epoch 10/150\n",
      "33/33 [==============================] - 2s 65ms/step - loss: 0.0876 - acc: 0.9706\n",
      "Epoch 11/150\n",
      "33/33 [==============================] - 2s 67ms/step - loss: 0.0936 - acc: 0.9697: 1s - loss: \n",
      "Epoch 12/150\n",
      "33/33 [==============================] - 2s 66ms/step - loss: 0.0829 - acc: 0.9744: 1s - loss: 0.074\n",
      "Epoch 13/150\n",
      "33/33 [==============================] - 2s 66ms/step - loss: 0.0966 - acc: 0.9716\n",
      "Epoch 14/150\n",
      "33/33 [==============================] - 2s 65ms/step - loss: 0.0476 - acc: 0.9858\n",
      "Epoch 15/150\n",
      "33/33 [==============================] - 2s 66ms/step - loss: 0.0634 - acc: 0.9820\n",
      "Epoch 16/150\n",
      "33/33 [==============================] - 2s 65ms/step - loss: 0.0823 - acc: 0.9744\n",
      "Epoch 17/150\n",
      "33/33 [==============================] - 2s 66ms/step - loss: 0.0696 - acc: 0.9763\n",
      "Epoch 18/150\n",
      "33/33 [==============================] - 2s 65ms/step - loss: 0.0570 - acc: 0.9839\n",
      "Epoch 19/150\n",
      "33/33 [==============================] - 2s 66ms/step - loss: 0.0636 - acc: 0.9773\n",
      "Epoch 20/150\n",
      "33/33 [==============================] - 2s 65ms/step - loss: 0.0542 - acc: 0.9848\n",
      "Epoch 21/150\n",
      "33/33 [==============================] - 2s 65ms/step - loss: 0.0446 - acc: 0.9915\n",
      "Epoch 22/150\n",
      "33/33 [==============================] - 2s 65ms/step - loss: 0.0535 - acc: 0.9811: 1s -\n",
      "Epoch 23/150\n",
      "33/33 [==============================] - 2s 66ms/step - loss: 0.0383 - acc: 0.9858\n",
      "Epoch 24/150\n",
      "33/33 [==============================] - 2s 66ms/step - loss: 0.0592 - acc: 0.9867\n",
      "Epoch 25/150\n",
      "33/33 [==============================] - 2s 65ms/step - loss: 0.0369 - acc: 0.9877\n",
      "Epoch 26/150\n",
      "33/33 [==============================] - 2s 66ms/step - loss: 0.0326 - acc: 0.9867\n",
      "Epoch 27/150\n",
      "33/33 [==============================] - 2s 67ms/step - loss: 0.0524 - acc: 0.9801\n",
      "Epoch 28/150\n",
      "33/33 [==============================] - 2s 66ms/step - loss: 0.0508 - acc: 0.9820\n",
      "Epoch 29/150\n",
      "33/33 [==============================] - 2s 66ms/step - loss: 0.0392 - acc: 0.9886\n",
      "Epoch 30/150\n",
      "33/33 [==============================] - 2s 65ms/step - loss: 0.0387 - acc: 0.9896\n",
      "Epoch 31/150\n",
      "33/33 [==============================] - 2s 65ms/step - loss: 0.0367 - acc: 0.9877\n",
      "Epoch 32/150\n",
      "33/33 [==============================] - 2s 66ms/step - loss: 0.0425 - acc: 0.9858\n",
      "Epoch 33/150\n",
      "33/33 [==============================] - 2s 66ms/step - loss: 0.0379 - acc: 0.9915\n",
      "Epoch 34/150\n",
      "33/33 [==============================] - 2s 66ms/step - loss: 0.0412 - acc: 0.9867: 1s\n",
      "Epoch 35/150\n",
      "33/33 [==============================] - 2s 66ms/step - loss: 0.0145 - acc: 0.9943: 0s - loss: 0.0146 - acc: 0.99\n",
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      "33/33 [==============================] - 2s 66ms/step - loss: 0.0540 - acc: 0.9801\n",
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      "33/33 [==============================] - 2s 66ms/step - loss: 0.0267 - acc: 0.9915\n",
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      "33/33 [==============================] - 2s 65ms/step - loss: 0.0178 - acc: 0.9943\n",
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      "33/33 [==============================] - 2s 65ms/step - loss: 0.0367 - acc: 0.9886\n",
      "Epoch 40/150\n",
      "33/33 [==============================] - 2s 65ms/step - loss: 0.0271 - acc: 0.9953\n",
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      "33/33 [==============================] - 2s 66ms/step - loss: 0.0241 - acc: 0.9905\n",
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      "33/33 [==============================] - 2s 66ms/step - loss: 0.0246 - acc: 0.9934\n",
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      "33/33 [==============================] - 2s 65ms/step - loss: 0.0485 - acc: 0.9830\n",
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      "33/33 [==============================] - 2s 66ms/step - loss: 0.0254 - acc: 0.9896\n",
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      "33/33 [==============================] - 2s 65ms/step - loss: 0.0219 - acc: 0.9934\n",
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      "33/33 [==============================] - 2s 67ms/step - loss: 0.0235 - acc: 0.9905\n",
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      "33/33 [==============================] - 2s 65ms/step - loss: 0.0396 - acc: 0.9867\n",
      "Epoch 48/150\n",
      "33/33 [==============================] - 2s 66ms/step - loss: 0.0431 - acc: 0.9877: 1s\n",
      "Epoch 49/150\n",
      "33/33 [==============================] - 2s 65ms/step - loss: 0.0243 - acc: 0.9915\n",
      "Epoch 50/150\n",
      "33/33 [==============================] - 2s 67ms/step - loss: 0.0189 - acc: 0.9934\n",
      "Epoch 51/150\n",
      "33/33 [==============================] - 2s 66ms/step - loss: 0.0309 - acc: 0.9924: 0s - loss: 0.0323 - acc: 0.991 - ETA: 0s - loss: 0.0318 - acc: \n",
      "Epoch 52/150\n",
      "33/33 [==============================] - 2s 66ms/step - loss: 0.0264 - acc: 0.9943: 1s - loss:\n",
      "Epoch 53/150\n",
      "33/33 [==============================] - 2s 65ms/step - loss: 0.0275 - acc: 0.9915\n",
      "Epoch 54/150\n",
      "33/33 [==============================] - 2s 66ms/step - loss: 0.0291 - acc: 0.9934\n",
      "Epoch 55/150\n",
      "33/33 [==============================] - 2s 66ms/step - loss: 0.0331 - acc: 0.9877\n",
      "Epoch 56/150\n",
      "33/33 [==============================] - 2s 66ms/step - loss: 0.0252 - acc: 0.9905\n",
      "Epoch 57/150\n",
      "33/33 [==============================] - 2s 66ms/step - loss: 0.0299 - acc: 0.9915: 0s - loss: 0.0330 \n",
      "Epoch 58/150\n",
      "33/33 [==============================] - 2s 66ms/step - loss: 0.0249 - acc: 0.9924\n",
      "Epoch 59/150\n",
      "33/33 [==============================] - 2s 65ms/step - loss: 0.0242 - acc: 0.9924\n",
      "Epoch 60/150\n",
      "33/33 [==============================] - 2s 66ms/step - loss: 0.0246 - acc: 0.9886: \n",
      "Epoch 61/150\n",
      "33/33 [==============================] - 2s 66ms/step - loss: 0.0226 - acc: 0.9953\n",
      "Epoch 62/150\n",
      "33/33 [==============================] - 2s 66ms/step - loss: 0.0096 - acc: 0.9962\n",
      "Epoch 63/150\n",
      "33/33 [==============================] - 2s 67ms/step - loss: 0.0092 - acc: 0.9972\n",
      "Epoch 64/150\n",
      "33/33 [==============================] - 2s 68ms/step - loss: 0.0265 - acc: 0.9915\n",
      "Epoch 65/150\n",
      "33/33 [==============================] - 2s 66ms/step - loss: 0.0245 - acc: 0.9905\n",
      "Epoch 66/150\n",
      "33/33 [==============================] - 2s 67ms/step - loss: 0.0322 - acc: 0.9905: 0s - loss: 0.0261 - acc: 0.9\n",
      "Epoch 67/150\n",
      "33/33 [==============================] - 2s 66ms/step - loss: 0.0205 - acc: 0.9915\n",
      "Epoch 68/150\n",
      "33/33 [==============================] - 2s 68ms/step - loss: 0.0097 - acc: 0.9972\n",
      "Epoch 69/150\n",
      "33/33 [==============================] - 2s 67ms/step - loss: 0.0284 - acc: 0.9905\n",
      "Epoch 70/150\n",
      "33/33 [==============================] - 2s 67ms/step - loss: 0.0252 - acc: 0.9915\n",
      "Epoch 71/150\n",
      "33/33 [==============================] - 2s 67ms/step - loss: 0.0158 - acc: 0.9924 ETA: 2s -\n",
      "Epoch 72/150\n",
      "33/33 [==============================] - 2s 66ms/step - loss: 0.0131 - acc: 0.9962: 1s - loss: 0.01\n",
      "Epoch 73/150\n",
      "33/33 [==============================] - 2s 67ms/step - loss: 0.0293 - acc: 0.9915\n",
      "Epoch 74/150\n",
      "33/33 [==============================] - 2s 67ms/step - loss: 0.0304 - acc: 0.9896\n",
      "Epoch 75/150\n",
      "33/33 [==============================] - 2s 66ms/step - loss: 0.0159 - acc: 0.9953\n",
      "Epoch 76/150\n",
      "33/33 [==============================] - 2s 66ms/step - loss: 0.0155 - acc: 0.9934\n",
      "Epoch 77/150\n",
      "33/33 [==============================] - 2s 66ms/step - loss: 0.0223 - acc: 0.9924 ETA: 1s - \n",
      "Epoch 78/150\n",
      "33/33 [==============================] - 2s 67ms/step - loss: 0.0058 - acc: 0.9972\n",
      "Epoch 79/150\n",
      "33/33 [==============================] - 2s 66ms/step - loss: 0.0127 - acc: 0.9981: 0s - loss: 0.0081 - acc\n",
      "Epoch 80/150\n",
      "33/33 [==============================] - 2s 66ms/step - loss: 0.0089 - acc: 0.9972: 2s - loss: 0.0021  - ETA: 1s - loss: 0.\n",
      "Epoch 81/150\n",
      "33/33 [==============================] - 2s 66ms/step - loss: 0.0161 - acc: 0.9924: 0s - loss: 0.0134 - acc: 0.99 - ETA: 0s - loss: 0.0147 - acc: 0.993\n",
      "Epoch 82/150\n",
      "33/33 [==============================] - 2s 67ms/step - loss: 0.0264 - acc: 0.9905\n",
      "Epoch 83/150\n",
      "33/33 [==============================] - 2s 66ms/step - loss: 0.0087 - acc: 0.9972\n",
      "Epoch 84/150\n",
      "33/33 [==============================] - 2s 63ms/step - loss: 0.0138 - acc: 0.9953\n",
      "Epoch 85/150\n",
      "33/33 [==============================] - 2s 64ms/step - loss: 0.0130 - acc: 0.9943\n",
      "Epoch 86/150\n",
      "33/33 [==============================] - 2s 64ms/step - loss: 0.0174 - acc: 0.9972\n",
      "Epoch 87/150\n",
      "33/33 [==============================] - 2s 64ms/step - loss: 0.0139 - acc: 0.9953\n",
      "Epoch 88/150\n",
      "33/33 [==============================] - 2s 63ms/step - loss: 0.0078 - acc: 0.9972\n",
      "Epoch 89/150\n",
      "33/33 [==============================] - 2s 67ms/step - loss: 0.0211 - acc: 0.9943\n",
      "Epoch 90/150\n",
      "33/33 [==============================] - 2s 70ms/step - loss: 0.0286 - acc: 0.9924 ETA: 1s - \n",
      "Epoch 91/150\n",
      "33/33 [==============================] - 2s 68ms/step - loss: 0.0276 - acc: 0.9934\n",
      "Epoch 92/150\n",
      "33/33 [==============================] - 2s 68ms/step - loss: 0.0082 - acc: 0.9981\n",
      "Epoch 93/150\n",
      "33/33 [==============================] - 2s 69ms/step - loss: 0.0049 - acc: 0.9981\n",
      "Epoch 94/150\n",
      "33/33 [==============================] - 2s 65ms/step - loss: 0.0254 - acc: 0.9924\n",
      "Epoch 95/150\n",
      "33/33 [==============================] - 3s 79ms/step - loss: 0.0208 - acc: 0.9934\n",
      "Epoch 96/150\n",
      "33/33 [==============================] - 2s 71ms/step - loss: 0.0122 - acc: 0.9943\n",
      "Epoch 97/150\n",
      "33/33 [==============================] - 2s 62ms/step - loss: 0.0070 - acc: 0.9972\n",
      "Epoch 98/150\n",
      "33/33 [==============================] - 2s 63ms/step - loss: 0.0133 - acc: 0.9953\n",
      "Epoch 99/150\n",
      "33/33 [==============================] - 2s 72ms/step - loss: 0.0081 - acc: 0.9962\n",
      "Epoch 100/150\n",
      "33/33 [==============================] - 2s 70ms/step - loss: 0.0278 - acc: 0.9924\n",
      "Epoch 101/150\n",
      "33/33 [==============================] - 3s 80ms/step - loss: 0.0080 - acc: 0.9972\n",
      "Epoch 102/150\n",
      "33/33 [==============================] - 2s 67ms/step - loss: 0.0041 - acc: 0.9981\n",
      "Epoch 103/150\n",
      "33/33 [==============================] - 2s 72ms/step - loss: 0.0054 - acc: 0.9991\n",
      "Epoch 104/150\n",
      "33/33 [==============================] - 3s 84ms/step - loss: 0.0052 - acc: 0.9991\n",
      "Epoch 105/150\n",
      "33/33 [==============================] - 2s 70ms/step - loss: 0.0186 - acc: 0.9934\n",
      "Epoch 106/150\n",
      "33/33 [==============================] - 2s 61ms/step - loss: 0.0305 - acc: 0.9915\n",
      "Epoch 107/150\n",
      "33/33 [==============================] - 2s 62ms/step - loss: 0.0164 - acc: 0.9953\n",
      "Epoch 108/150\n",
      "33/33 [==============================] - 2s 61ms/step - loss: 0.0049 - acc: 0.9991\n",
      "Epoch 109/150\n",
      "33/33 [==============================] - 2s 62ms/step - loss: 0.0067 - acc: 0.9981\n",
      "Epoch 110/150\n",
      "33/33 [==============================] - 2s 61ms/step - loss: 0.0107 - acc: 0.9962\n",
      "Epoch 111/150\n",
      "33/33 [==============================] - 2s 68ms/step - loss: 0.0142 - acc: 0.9943\n",
      "Epoch 112/150\n",
      "33/33 [==============================] - 2s 70ms/step - loss: 0.0101 - acc: 0.9981\n",
      "Epoch 113/150\n",
      "33/33 [==============================] - 2s 69ms/step - loss: 0.0150 - acc: 0.9953\n",
      "Epoch 114/150\n",
      "33/33 [==============================] - 2s 65ms/step - loss: 0.0087 - acc: 0.9953\n",
      "Epoch 115/150\n",
      "33/33 [==============================] - 2s 63ms/step - loss: 0.0157 - acc: 0.9962\n",
      "Epoch 116/150\n",
      "33/33 [==============================] - 2s 60ms/step - loss: 0.0060 - acc: 0.9981\n",
      "Epoch 117/150\n",
      "33/33 [==============================] - 2s 60ms/step - loss: 0.0151 - acc: 0.9962\n",
      "Epoch 118/150\n",
      "33/33 [==============================] - 2s 61ms/step - loss: 0.0094 - acc: 0.9962\n",
      "Epoch 119/150\n",
      "33/33 [==============================] - 2s 63ms/step - loss: 0.0100 - acc: 0.9953\n",
      "Epoch 120/150\n",
      "33/33 [==============================] - 2s 61ms/step - loss: 0.0165 - acc: 0.9943\n",
      "Epoch 121/150\n",
      "33/33 [==============================] - 3s 86ms/step - loss: 0.0210 - acc: 0.9915\n",
      "Epoch 122/150\n",
      "33/33 [==============================] - 3s 90ms/step - loss: 0.0353 - acc: 0.9905\n",
      "Epoch 123/150\n",
      "33/33 [==============================] - 3s 93ms/step - loss: 0.0061 - acc: 0.9981\n",
      "Epoch 124/150\n",
      "33/33 [==============================] - 3s 86ms/step - loss: 0.0109 - acc: 0.9972\n",
      "Epoch 125/150\n",
      "33/33 [==============================] - 3s 88ms/step - loss: 0.0114 - acc: 0.9962\n",
      "Epoch 126/150\n",
      "33/33 [==============================] - 3s 85ms/step - loss: 0.0046 - acc: 0.9981\n",
      "Epoch 127/150\n",
      "33/33 [==============================] - 3s 90ms/step - loss: 0.0154 - acc: 0.9953\n",
      "Epoch 128/150\n",
      "33/33 [==============================] - 3s 84ms/step - loss: 0.0099 - acc: 0.9972\n",
      "Epoch 129/150\n",
      "33/33 [==============================] - 2s 68ms/step - loss: 0.0019 - acc: 0.9991\n",
      "Epoch 130/150\n",
      "33/33 [==============================] - 2s 71ms/step - loss: 0.0121 - acc: 0.9981: 1s - loss: 0.00\n",
      "Epoch 131/150\n",
      "33/33 [==============================] - 3s 87ms/step - loss: 0.0048 - acc: 0.9981\n",
      "Epoch 132/150\n",
      "33/33 [==============================] - 3s 83ms/step - loss: 0.0091 - acc: 0.9962\n",
      "Epoch 133/150\n",
      "33/33 [==============================] - 2s 74ms/step - loss: 0.0060 - acc: 0.9981\n",
      "Epoch 134/150\n",
      "33/33 [==============================] - 3s 80ms/step - loss: 0.0047 - acc: 0.9972\n",
      "Epoch 135/150\n",
      "33/33 [==============================] - 2s 62ms/step - loss: 0.0038 - acc: 0.9991\n",
      "Epoch 136/150\n",
      "33/33 [==============================] - 2s 65ms/step - loss: 0.0049 - acc: 0.9981\n",
      "Epoch 137/150\n",
      "33/33 [==============================] - 2s 71ms/step - loss: 0.0022 - acc: 0.9991\n",
      "Epoch 138/150\n",
      "33/33 [==============================] - 3s 77ms/step - loss: 0.0112 - acc: 0.9962\n",
      "Epoch 139/150\n",
      "33/33 [==============================] - 3s 97ms/step - loss: 0.0174 - acc: 0.9962\n",
      "Epoch 140/150\n",
      "33/33 [==============================] - 3s 90ms/step - loss: 0.0140 - acc: 0.9953\n",
      "Epoch 141/150\n",
      "33/33 [==============================] - 3s 79ms/step - loss: 0.0097 - acc: 0.9962\n",
      "Epoch 142/150\n",
      "33/33 [==============================] - 2s 70ms/step - loss: 0.0209 - acc: 0.9943\n",
      "Epoch 143/150\n",
      "33/33 [==============================] - 3s 79ms/step - loss: 0.0109 - acc: 0.9972\n",
      "Epoch 144/150\n",
      "33/33 [==============================] - 3s 77ms/step - loss: 0.0283 - acc: 0.9905\n",
      "Epoch 145/150\n",
      "33/33 [==============================] - 3s 77ms/step - loss: 0.0047 - acc: 0.9991\n",
      "Epoch 146/150\n",
      "33/33 [==============================] - 3s 78ms/step - loss: 0.0125 - acc: 0.9943\n",
      "Epoch 147/150\n",
      "33/33 [==============================] - 2s 72ms/step - loss: 0.0056 - acc: 0.9981\n",
      "Epoch 148/150\n",
      "33/33 [==============================] - 2s 71ms/step - loss: 0.0048 - acc: 0.9991\n",
      "Epoch 149/150\n",
      "33/33 [==============================] - 2s 73ms/step - loss: 0.0069 - acc: 0.9962\n",
      "Epoch 150/150\n",
      "33/33 [==============================] - 2s 73ms/step - loss: 0.0032 - acc: 0.9991\n"
     ]
    }
   ],
   "source": [
    "hist=model.fit_generator(gen_flow,steps_per_epoch=len(x_train) / 128, epochs=150)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f2a486c7390>]"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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9bj/WsbcuO/QyOiV14pqjr8HMSLKkncEO0CGxA4f109fbiMh/twMu3Pt37c+1x1wb7zJERNo1feWviEgEKdxFRCJI4S4iEkEKdxGRCFK4i4hEkMJdRCSCFO4iIhGkcBcRiSCFu4hIBCncRUQiSOEuIhJBCncRkQhSuIuIRJDCXUQkghTuIiIRpHAXEYkghbuISAQp3EVEIkjhLiISQQp3EZEIUriLiESQwl1EJIIU7iIiEaRwFxGJIIW7iEgEKdxFRCKoVeFuZpPNLNfMVpjZDU1MH2xm88zsPTPLMbOpbV+qiIi0VovhbmaJwD3AFGA0cIGZjW7U7CbgaXc/FDgfuLetCxURkdZrzZ77BGCFu3/i7pXAn4FzGrVxoFvsfndgfduVKCIieyqpFW0GAGvrDecBRzZq82PgVTO7EkgFTmmT6kREZK+01QnVC4BH3X0gMBWYaWa7zNvMLjezhWa2sKioqI0WLSIijbUm3NcBg+oND4yNq+9rwNMA7v5voCPQp/GM3P1Bd8929+y0tLS9q1hERFrUmnBfAGSZ2VAz60A4YTqrUZs1wMkAZjaKEO7aNRcRiZMWw93dq4ErgDnAB4RPxSwzs1vN7OxYs2uBb5jZYuBJ4BJ398+raBER2b3WnFDF3WcDsxuNm17v/nLg2LYtTURE9pauUBURiSCFu4hIBCncRUQiSOEuIhJBCncRkQhSuIuIRJDCXUQkghTuIiIRpHAXEYkghbuISAQp3EVEIkjhLiISQQp3EZEIUriLiESQwl1EJIIU7iIiEaRwFxGJIIW7iEgEKdxFRCJI4S4iEkEKdxGRCFK4i4hEkMJdRCSCFO4iIhGkcBcRiSCFu4hIBCncRUQiSOEuIhJBCncRkQhSuIuIRJDCXUQkgloV7mY22cxyzWyFmd3QTJvzzGy5mS0zsyfatkwREdkTSS01MLNE4B7gVCAPWGBms9x9eb02WcCNwLHuvtnM0j+vgkVEpGWt2XOfAKxw90/cvRL4M3BOozbfAO5x980A7l7YtmWKiMieaE24DwDW1hvOi42r7yDgIDN7y8zeNrPJTc3IzC43s4VmtrCoqGjvKhYRkRa11QnVJCALmAhcADxkZj0aN3L3B909292z09LS2mjRIiLSWGvCfR0wqN7wwNi4+vKAWe5e5e6fAh8Rwl5EROKgNeG+AMgys6Fm1gE4H5jVqM1zhL12zKwPoZvmkzasU0RE9kCL4e7u1cAVwBzgA+Bpd19mZrea2dmxZnOATWa2HJgHXO/umz6vokVEZPfM3eOy4OzsbF+4cGFcli0icqAys0Xunt1SO12hKiISQQp3EZEIUriLiESQwl1EJIIU7iIiEaRwFxGJIIW7iEgEKdxFRCJI4S4iEkEKdxGRCFK4i4hEkMJdRCSCFO4iIhGkcBcRiSCFu4hIBCncRUQiSOEuIhJBCncRkQhSuIuIRJDCXUQkghTuIiIRpHAXEYkghbuISAQp3EVEIkjhLiISQQp3EZEIUriLiESQwl1EJIIU7iIiEaRwFxGJoFaFu5lNNrNcM1thZjfspt2XzMzNLLvtShQRkT3VYribWSJwDzAFGA1cYGajm2jXFbgaeKetixQRkT3Tmj33CcAKd//E3SuBPwPnNNHup8AvgPI2rE9ERPZCa8J9ALC23nBebNxOZnYYMMjdX2rD2kREZC/t8wlVM0sAfg1c24q2l5vZQjNbWFRUtK+LFhGRZrQm3NcBg+oND4yNq9UVOBh43cxWAUcBs5o6qeruD7p7trtnp6Wl7X3VIiKyW60J9wVAlpkNNbMOwPnArNqJ7r7F3fu4e6a7ZwJvA2e7+8LPpWIREWlRi+Hu7tXAFcAc4APgaXdfZma3mtnZn3eBIiKy55Ja08jdZwOzG42b3kzbifteloiI7AtdoSoiEkEKdxGRCFK4i4hEkMJdRCSCFO4iIhGkcBcRiSCFu4hIBCncRUQiSOEuIhJBCncRkQhSuIuIRJDCXUQkghTuIiIRpHAXEYkghbuISAQp3EVEIkjhLiISQQp3EZEIUriLiESQwl1EJIIU7iIiEaRwFxGJIIW7iEgEKdxFRCJI4S4iEkEKdxGRCFK4i4hEkMJdRCSCFO4iIhGkcBcRiSCFu4hIBLUq3M1sspnlmtkKM7uhienXmNlyM8sxs7lmNqTtSxURkdZqMdzNLBG4B5gCjAYuMLPRjZq9B2S7+yHAM8Av27pQERFpvdbsuU8AVrj7J+5eCfwZOKd+A3ef5+5lscG3gYFtW6aIiOyJ1oT7AGBtveG82LjmfA14eV+KEhGRfZPUljMzs68A2cCJzUy/HLgcYPDgwW25aBERqac1e+7rgEH1hgfGxjVgZqcAPwLOdveKpmbk7g+6e7a7Z6elpe1NvSIi0gqtCfcFQJaZDTWzDsD5wKz6DczsUOABQrAXtn2ZIiKyJ1oMd3evBq4A5gAfAE+7+zIzu9XMzo41uxPoAvzFzN43s1nNzE5ERPaDVvW5u/tsYHajcdPr3T+ljesSEZF9oCtURUQiSOEuIhJBCncRkQhSuIuIRJDCXUQkghTuIiIRpHAXEYmgAzPcK5r8dgMREYk58ML9nntg+HAoi33DcGUlvPkmuIfh5cvhhBNgw4b41SgiEmcHXriPHQvr1sHMmWH45pvh+OPh2WfD8A03wBtvwF/+Er8aRUTi7MAL9+OPh+xs+PWvoaAAZswI46+9FubPhxdeCMPPPx+/GkVE4uzAC3czuOYa+OgjOOssKC+H+++H1avhjDOgd2+44gr45z9h8+Z4VysiEhcHXrgDTJsGgwbBggXwv/8L3/xmGFdaCj/4AVx4IezYAa+8Eu9KRUTi4sAM9+RkuO46SEkJfe4QumfuuCPstU+YAOnpMEvfPCwi/50OzHAHuPJKyMuDgw4KwxkZcOON0KkTJCSELpvZs8OnaVpS+0mb2vu/+Q0sWvT51C0ish8cuOFuBn36ND/9i1+EkpLQRbNxY9NtKivDidn09LBhcA/999dcA7/61edTt4jIfnDghntLzjgDbr89fGpmzBh45JHQDw/hROtvfgOjRoVP2fToAT//OXzta/B//xfaLFgQv9pFRPZRdMPdDH74w9C9MmxYCO4xY2D0aEhLC3vnGRmh6yY3Fy67DP74x7AXf911sGIFfPZZw3necQfce298no+IyB5o1c/sHdDGjoV//Stc1HT33aEr50tfCrfx4+vaPfhgCP9TTgndOHfdFfbeTz89TH/3XfjRj8L9tDT48pf3/3MREWml6Ic7hL34884Lt+YkJoa9eYAtW8Jj3n03hLs7fP/7Ya9+2DC45BLIymq4cRARaUei2y2zL7p3hy98IYQ7wEsvhYuibrkF/vY36NkznLAtKgrT3ev680VE2gGFe3MmTAjhXl4O118f9tS/8Q3o2xeeey589cG0aeF7bA45BA4+GFat2v08d+yAwsL9Ur6I/HdTuDfniCNCEH/zm/Dhh6G/Pjk5TMvOhocfDt9lc8IJUFwcwv6YYyAnp24e1dUNT8pOnw5Dh8L69Z9f3Vu2hOWKyH81hXtzJkwIfx97DL76VZg8ueH0Cy8Mn5G//vrwNcNvvBEunjrhhHC/qAiOPRZGjAgXW23cCL/7Xfiq4rvvbjivBQvg0EPDhVfTp9d9nfGeqqqCkSPDPPZUTY02CiIRYl7/6sz9KDs72xcuXBiXZbdKRQV06xb615cvh169Wn7MmjVw2mnhS8z69oX8/DD+lFPCp3Z+/nM48sgwv7Vrw/zdwwZh6dLwfTlLl8KZZ4avME7aw/Pdb70Fxx0XPs2zbl3dkUZrXHopLFkSNjRme7ZcEdlvzGyRu2e31E577s1JSYH77oO//rV1wQ4weHD44ZBx40L3yNy54UKqF1+EX/4yfHxyxoxw5eyDD4bHzJkTHnPHHaFLZ8aM8LXF3/oWvPcerFwZrqStrAxXz06YAFdfHbqKXnklHDl89FGY19y54W9REbz8cuuf69q14fvxFy0K9TSlpCQ8hyOOCBuh2pPJItI+uXtcbocffrhHVnW1e0lJ3f0jj3QH9yVLwriTT3ZPT3d/8kn3ww93z8x0r6ioe/yNN4b2tbfERPfu3cP9MWPck5MbTr/ggvC4E090HzvWPSPD/YtfbFjTDTe4/+xn7jU1u9Z7443uCQnuffq4n3rqrtNratzPPjssKzs71HPVVfu8mkQa2LbN/bHHwntGmgUs9FZkrMJ9fygocP/HP+qGFy0KgV4bzo8+2rB9TY37v//t/re/uT/yiPtNN7lfdpn7K6+EaevWuf/mN+4vveR++eXuKSnueXnuHTq4X3dduCUluRcWhvnNn1+3rKuuahjwZWXuvXu7n3uu+x13hDY5OQ3r+ctfwvhf/jIMf/ObYf4ff1zXZt069x/+0H3hwrpxFRXuH3zg/uc/u//P/4Tl3Hije1WV+/bt7s8/77569b6t25KSUM/FF7tXVjactmNHw41mYzt2uL/6qvsDD4T1XFW1b7Xsi9JS9+XLw3qJh5oa99/+1v399+OzfHf3Sy8N/2d/+Uv8atgbn322XxencG/vduxwf/nlEJj7sqfy3nvhZTzrrPD35ZfDEQKEjUJNjfvRR7v36+d+5ZVh/MSJ7nffHTYWP/hBGDdvnvumTe6dO4e99PXrw/w3bnTv29f9sMPqwm/9+tBu2rQw/5IS9/Hj6zYghxziPnRoOBqoHde3r/tpp4X7RxwRji4gbCQuusj9D39wnzUr3J56yv2tt8KeXFPuvjscrUyf7j5smLtZmNdFF4X1Wuvaa8OG74IL3N94Y9f5fP/7DY+Abrll716Dioowr3fe2bvH//vf7oMGhRrM3M88s+HzcA8b7wcfbH2Q5OS4Dxni/u67rWv/4x+H5Q8cuN/Dyt3DDkDt63Duuft/+XvrgQfC/3DtUfl+oHD/b3LYYeGlTE4Oe4DuIXjBffLk8PeBB0IQ33WX+4gRDUPt0EPr9uZvuqkuZAYODH8TE8PRRn233BLaHXus+6RJoc3TT4cjiokT3c8/P4TvzJkhYGo3YI895t61q/vpp7s/95z7977nnprasJ7aW0JCOBqo7733wvgePUJtQ4aE4L7ttvCYa64JzyU3N7zpxo8PbSG0qX2e//lPqPmii9zXrAl/ExLCRsU9tHvySfcJE0Lb5tTUuH/ta2H+I0a4l5fv2Wv3yCPhdcvMDOH97W+HeT3xRMN2Z54ZxqemhnXW3Iav1tSpdRvyprri6nv66dD2tNPCOvvyl1t+TFupqnJ/9tnQ7XjUUe7f/W44At28ef8sf08tWuR+/fXhfbZpk3uvXmHdfeMb+60Ehft/k3vuCS/l8cfXjauqqttTP+igXbscVqxwf/NN98WL684P1Fq2LIT3RRe533praNdYdbX7ffe59+8flnHvva2vt/Fe6fbt7p9+GvZ8FywIe53PP+9+3nlh3jNnhnY1NWFjkpYW9i63bavbaNTU1D3fX/widAN16eKenx/aXXhhmPY//xOODg4/PBw91O6lbtkSjjYGDQrzmTKlbiMzfnzTXTY1NeHIC+rC9+c/D9Py8kI3S36++x//GM67HHdcOOooKgpt3ngjhOkpp9TVsWNHOPIZNqyuS+ndd8O8v/Wt8JqYhQ36mjW7via1862tG9xfe6351yInx71TJ/djjgkbpp/9LDzmoYeaf8yKFeH1ql0Hb7wRuh1rNwivvBL+H2qHP/3U/fHHG3aR1dS4/+lPdUcsmZnun3xS91z/8Ifml19VFbqQFixovs2+2LDB/ZJL3MeNC92IixeH8R9+GLoWwf2EE8JGPSHB/aSTwjrcuPHzqaeRNg13YDKQC6wAbmhiegrwVGz6O0BmS/NUuLehzZvD3umdd+467bnnQlh/XsrKdt2rbyuVleEkcadO7g8/HI4EdvfG37EjdMHUhvKtt9ZNq6lxv/12944d66Y/9VTDx7/9dtgQ9uwZ9sjuvDO0gXD/wQdDGE2Z4n7//WGvGMKe7o4d7uecE/aszz+/YZdU7YnwsWPD/W7dQoj26xf29ouLG9bx0ksNN5hTp4Z6tmwJw7NmhaOfPn3cZ8wI4fnlL4fHTJsWur369QsbjEGDwtFHU3vixcXuWVmhy2zDhjCuujqcVE9Kcp8zp646NTpAAAAJEElEQVRtYWHYME2YUPecJk0KXX61w1OnhnMftcNf/3rYMejTp+7I5t57w7qrPbKYMCGcW6rdeNbUhJomTQqvx7e+5f6lL4V1++qrYT1fdFHdMv7f/3Nfu7auxpNOCkc2tecuVqyom94ajz4aXp/k5LAjkZgYlnPUUeEoMT09/C/Uvr7f/nbYQNZu2B98MOwk/P73u+7EtJE2C3cgEVgJDAM6AIuB0Y3afAe4P3b/fOCpluarcG9jxcXR/JRBQUF4U9W+mY89dvdvmoqKEBzDhtV1UdW3fXs4v/D0063reqipqdsrrw2jgQPD/YyMEHi1e6QrV4Y+/s6dw0ntJ55w/93v3OfOrVvW4sWhSwrCRqt2r7DxMo8/PgTMySeHtnfc0bDN8uVh77G2rpSUcHTStWvDDcPDD9cd1T30UAifm24K3V0nnRTCa/78hvMuLg5HD126uF9xRdiIJSXVHQ3ceWfo4ho6NKzne+5x/9WvQvvarrQf/rCutuHDw9HL6NF141JTw953U/+ztV1+EJ7P6NF1R4iHHuo7zyfdfHNY12lp7s88EzaetZ8kGzeubuNbO3z55e4/+UlYJy+/HG4PPRRep/Xrw/xqu7Jyc0MthYWhq3HkyBD6tR8YePrp8NrUHoVNmlS37Npajz8+PJc773T/6ldD7d/5TjhC3Ydur7YM96OBOfWGbwRubNRmDnB07H4SsJHYBVLN3RTu0mrbtoVP3bz33u4//VKrpmbP+753Z/Xq0KVy771hw1JdHY5Wmtp45ObWveF3V9/LLzd9krdWXl44f5CZGTYmjbvO6s/nuuvCHqp76Af+61/rQrO6etfzLAkJIayTk8MeZnPLz8oKG6AJE8IJ45ZOGubnh66LWjNmhL3u2k9tVVe7f/RR+GTV7l6fNWvChudXv6p73tu3h5P/CQnh+daG4wcfuI8aFZ5Xx46hC+qFF8Ie9pAh4Qjpl78MG8K0tIZHU03dLr10109d1a7r3Z3nmDMnnCv46U/D83z44bqQr90RmDix7sjxrrt2vy53o7Xh3uIVqmY2DZjs7l+PDV8EHOnuV9RrszTWJi82vDLWZmOjeV0OXA4wePDgw1evXt3Cp/BF/su5h6+GSEzc9/ksXRquih44MMzPffdXI9fUhDb7uuy2VFoKXbo0HLd1K9x2G0yZAhMnhnG1sZrQ6DrNigrYsCFcwe0eLsjbuBH+/vdwZfell+79FdrV1bteVV5dHerr0SPMd8uW8NsSkyaFrw/fC629QnW/hnt97f7rB0RE2qG2/PqBdcCgesMDY+OabGNmSUB3YFPrShURkbbWmnBfAGSZ2VAz60A4YTqrUZtZwMWx+9OAf3hLhwQiIvK5afFrB9292syuIJw0TQQecfdlZnYroWN/FvAHYKaZrQA+I2wAREQkTlr1nbLuPhuY3Wjc9Hr3ywH9YrSISDuhr/wVEYkghbuISAQp3EVEIkjhLiISQXH7DVUzKwL29hLVPoSvOGjPVGPbUI1to73X2N7rg/ZT4xB3T2upUdzCfV+Y2cLWXKEVT6qxbajGttHea2zv9cGBUWN96pYREYkghbuISAQdqOH+YLwLaAXV2DZUY9to7zW29/rgwKhxpwOyz11ERHbvQN1zFxGR3Tjgwt3MJptZrpmtMLMb4l0PgJkNMrN5ZrbczJaZ2dWx8b3M7DUz+zj2t2ec60w0s/fM7MXY8FAzeye2Lp+KfetnPOvrYWbPmNmHZvaBmR3dDtfh92Kv8VIze9LMOsZ7PZrZI2ZWGPtdhdpxTa43C+6O1ZpjZofFscY7Y691jpn9zcx61Jt2Y6zGXDM7PV411pt2rZm5mfWJDcdlPe6JAyrczSwRuAeYAowGLjCz0fGtCoBq4Fp3Hw0cBXw3VtcNwFx3zwLmxobj6Wrgg3rDvwB+4+4jgM3A1+JSVZ3fAa+4+xeAcYRa2806NLMBwFVAtrsfTPiW1POJ/3p8lPAj9vU1t96mAFmx2+XAfXGs8TXgYHc/BPiI8BOexN475wNjYo+5N/bej0eNmNkg4DRgTb3R8VqPrdea3+JrLzda8Xuu7eEGPA+cCuQC/WLj+gG5caxpIOFNPgl4ETDCBRlJTa3bONTXHfiURr+9287W4QBgLdCL8I2qLwKnt4f1CGQCS1tab8ADwAVNtdvfNTaadi7weOx+g/c19X6jOR41As8QdjZWAX3ivR5bezug9type3PVyouNazfMLBM4FHgHyHD3DbFJ+UBGnMoC+C3wfaAmNtwbKHb36thwvNflUKAI+GOs6+hhM0ulHa1Dd18H3EXYg9sAbAEW0b7WY63m1lt7fQ9dBrwcu99uajSzc4B17r640aR2U2NzDrRwb9fMrAvwV+D/3L2k/jQPm/e4fDTJzM4ECt19UTyW30pJwGHAfe5+KLCNRl0w8VyHALF+63MIG6L+QCpNHMa3N/Feby0xsx8RujYfj3ct9ZlZZ+CHwPSW2rZHB1q4t+b3XOPCzJIJwf64uz8bG11gZv1i0/sBhXEq71jgbDNbBfyZ0DXzO6BH7DdvIf7rMg/Ic/d3YsPPEMK+vaxDgFOAT929yN2rgGcJ67Y9rcdaza23dvUeMrNLgDOBC2MbIWg/NQ4nbMgXx947A4H/mFlf2k+NzTrQwr01v+e635mZEX5q8AN3/3W9SfV/W/ZiQl/8fufuN7r7QHfPJKyzf7j7hcA8wm/exrU+AHfPB9aa2cjYqJOB5bSTdRizBjjKzDrHXvPaGtvNeqynufU2C/hq7NMeRwFb6nXf7FdmNpnQVXi2u5fVmzQLON/MUsxsKOGk5bv7uz53X+Lu6e6eGXvv5AGHxf5X2816bFa8O/334oTHVMKZ9ZXAj+JdT6ym4wiHvTnA+7HbVEK/9lzgY+DvQK92UOtE4MXY/WGEN80K4C9ASpxrGw8sjK3H54Ce7W0dAj8BPgSWAjOBlHivR+BJwjmAKkIAfa259UY4kX5P7P2zhPDJn3jVuILQb137nrm/XvsfxWrMBabEq8ZG01dRd0I1LutxT266QlVEJIIOtG4ZERFpBYW7iEgEKdxFRCJI4S4iEkEKdxGRCFK4i4hEkMJdRCSCFO4iIhH0/wHnOTB6xTJvHQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f2a4b87ce90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(hist.history['acc'],'g')\n",
    "#plt.plot(hist.history['val_acc'],'b')\n",
    "plt.plot(hist.history['loss'],'r')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "model.save('models/my_model.h5')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "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
}