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image_compare.ipynb 2
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image_compare.ipynb 2
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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"ename": "ImportError",
"evalue": "No module named cv2",
"output_type": "error",
"traceback": [
"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[1;31mImportError\u001b[0m Traceback (most recent call last)",
"\u001b[1;32m<ipython-input-1-1274f006564b>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[0;32m 4\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mnumpy\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 5\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mpandas\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0mpd\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 6\u001b[1;33m \u001b[1;32mimport\u001b[0m \u001b[0mcv2\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 7\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mos\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 8\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mmse\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mimageA\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mimageB\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[1;31mImportError\u001b[0m: No module named cv2"
]
}
],
"source": [
"# import the necessary packages\n",
"from skimage.measure import structural_similarity as ssim\n",
"import matplotlib.pyplot as plt\n",
"import numpy as np\n",
"import pandas as pd\n",
"import cv2\n",
"import os\n",
"def mse(imageA, imageB):\n",
"\t# the 'Mean Squared Error' between the two images is the\n",
"\t# sum of the squared difference between the two images;\n",
"\t# NOTE: the two images must have the same dimension\n",
"\terr = np.sum((imageA.astype(\"float\") - imageB.astype(\"float\")) ** 2)\n",
"\terr /= float(imageA.shape[0] * imageA.shape[1])\n",
"\t\n",
"\t# return the MSE, the lower the error, the more \"similar\"\n",
"\t# the two images are\n",
"\treturn err\n",
"\n",
"def compare_images(imageA, imageB, title):\n",
"\t# compute the mean squared error and structural similarity\n",
"\t# index for the images\n",
"\tm = mse(imageA, imageB)\n",
"\ts = ssim(imageA, imageB)\n",
"\n",
"\t# setup the figure\n",
"\tfig = plt.figure(title)\n",
"\tplt.suptitle(\"MSE: %.2f, SSIM: %.2f\" % (m, s))\n",
"\n",
"\t# show first image\n",
"\tax = fig.add_subplot(1, 2, 1)\n",
"\tplt.imshow(imageA, cmap = plt.cm.gray)\n",
"\tplt.axis(\"off\")\n",
"\n",
"\t# show the second image\n",
"\tax = fig.add_subplot(1, 2, 2)\n",
"\tplt.imshow(imageB, cmap = plt.cm.gray)\n",
"\tplt.axis(\"off\")\n",
"\n",
"\t# show the images\n",
"\tplt.show()"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"# a=[];b=[];c=[];d=[]\n",
"# for i in dirs:\n",
"# if not i.startswith('.') and i != 'Thumbs.db':\n",
"# a.append(i)\n",
"# b.append(int(i.split('_')[1].split(\".\")[0]))\n",
"# c.append(int(i.split('_')[0]))\n",
"# d.append(\"old\")\n",
" \n",
"# df_old = pd.DataFrame(\n",
"# {'file': a,\n",
"# 'image_number':b,\n",
"# 'file_split':c\n",
"# })\n",
"\n",
"# df_old.reset_index(drop=True)\n",
"# df_sort = df_old.groupby(['file_split'])\n",
"\n",
"# res = df_sort.apply(lambda p: p.sort_values('image_number',ascending=True))\n",
"\n",
"# res=res.reset_index(drop=True).drop_duplicates('file')\n",
"# res\n",
"\n",
"# d=[];e=[];f=[];g=[]\n",
"# for j in dirs2:\n",
"# if not j.startswith('.') and i != 'Thumbs.db':\n",
"# d.append(j)\n",
"# e.append(int(j.split('_')[1].split(\".\")[0]))\n",
"# f.append(int(j.split('_')[0]))\n",
"# g.append(\"new\")\n",
"# df_new = pd.DataFrame(\n",
"# {'file':d ,\n",
"# 'image_number':e,\n",
"# 'file_split':f\n",
"# })\n",
"\n",
"# df_new.reset_index(drop=True)\n",
"# df_sort_new = df_new.groupby(['file_split'])\n",
"\n",
"# res_new = df_sort_new.apply(lambda x: x.sort_values('image_number',ascending=True))\n",
"\n",
"# res_new=res_new.reset_index(drop=True).drop_duplicates('file')\n",
"# res_new"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"path_old = \"C:\\Users\\jaideepsai\\Desktop\\New folder\\old\"\n",
"dirs = os.listdir( path_old )\n",
"path_new=\"/Users/jaideep/Desktop/Airbnb/Airbnb_Full_Project_files_2/Code/new\"\n",
"dirs2=os.listdir( path_new )\n",
"\n",
"\n",
"a=[];b=[];c=[];d=[]\n",
"for i in dirs2:\n",
" if not i.startswith('.') and i != 'Thumbs.db':\n",
" if(\"verified\" in i):\n",
" a.append(i.split(\"_verified\")[0]+\".\"+i.split(\".\")[1])\n",
" b.append(\"yes\")\n",
" c.append(i.split(\"_verified\")[0])\n",
" else:\n",
" a.append(i)\n",
" b.append(\"No\")\n",
" c.append(i.split(\".\")[0])\n",
" d.append(\"new_added\")\n",
" \n",
"df_new = pd.DataFrame(\n",
" {'file': a,\n",
" \"verified\":b,\n",
" 'image_type':d,\n",
" 'file_name':c\n",
" })\n",
"\n",
"d=[];e=[];f=[];g=[]\n",
"for j in dirs:\n",
" if not j.startswith('.') and i != 'Thumbs.db':\n",
" d.append(j)\n",
" g.append(\"old_removed\")\n",
" e.append(j.split(\".\")[0])\n",
"df_old = pd.DataFrame(\n",
" {'file':d ,\n",
" 'image_type':g,\n",
" \"verified\":'nan',\n",
" 'file_name':e\n",
" })\n",
"\n",
"frames = [df_old,df_new]\n",
"conc=pd.concat(frames)\n",
"\n",
"x=pd.concat(g for _, g in conc.groupby(\"file_name\") if len(g) == 1)\n",
"\n",
"for index,row in x.iterrows():\n",
" if(row[\"verified\"]==\"yes\"): \n",
" os.rename('/Users/jaideep/Desktop/Airbnb/Airbnb_Full_Project_files_2/Code/new'+'/'+row[\"file\"].split(\".\")[0]+\"_verified\"+\".\"+row[\"file\"].split(\".\")[1],'/Users/jaideep/Desktop/Airbnb/Airbnb_Full_Project_files_2/Code/'+row[\"image_type\"]+'/'+row[\"file\"].split(\".\")[0]+\"_verified\"+\".\"+row[\"file\"].split(\".\")[1])\n",
" \n",
" elif(row[\"verified\"]==\"No\"):\n",
" \n",
" os.rename('/Users/jaideep/Desktop/Airbnb/Airbnb_Full_Project_files_2/Code/new'+'/'+row[\"file\"],'/Users/jaideep/Desktop/Airbnb/Airbnb_Full_Project_files_2/Code/'+row[\"image_type\"]+'/'+row[\"file\"]) \n",
" \n",
" else:\n",
" os.rename('/Users/jaideep/Desktop/Airbnb/Airbnb_Full_Project_files_2/Code/old'+'/'+row[\"file\"],'/Users/jaideep/Desktop/Airbnb/Airbnb_Full_Project_files_2/Code/'+row[\"image_type\"]+'/'+row[\"file\"])\n",
" "
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"x.to_csv(\"changed_files.csv\",sep=\",\")"
]
},
{
"cell_type": "code",
"execution_count": 38,
"metadata": {},
"outputs": [],
"source": [
"path_old = \"/Users/jaideep/Desktop/Airbnb/Airbnb_Full_Project_files_2/Code/old\"\n",
"dirs = os.listdir( path_old )\n",
"path_new=\"/Users/jaideep/Desktop/Airbnb/Airbnb_Full_Project_files_2/Code/new\"\n",
"dirs2=os.listdir( path_new )\n",
"path_old_trim = \"/Users/jaideep/Desktop/Airbnb/Airbnb_Full_Project_files_2/Code/old_removed\"\n",
"dirs_trim = os.listdir( path_old_trim )\n",
"path_new_trim=\"/Users/jaideep/Desktop/Airbnb/Airbnb_Full_Project_files_2/Code/new_added\"\n",
"dirs2_trim=os.listdir( path_new_trim )\n",
"\n",
"y=pd.concat(q for _, q in conc.groupby(\"file_name\") if len(q) != 1)\n",
"y=y.reset_index(drop=True)"
]
},
{
"cell_type": "code",
"execution_count": 39,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>file</th>\n",
" <th>file_name</th>\n",
" <th>image_type</th>\n",
" <th>verified</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>17932618_0.jpg</td>\n",
" <td>17932618_0</td>\n",
" <td>old_removed</td>\n",
" <td>nan</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>17932618_0.jpg</td>\n",
" <td>17932618_0</td>\n",
" <td>new_added</td>\n",
" <td>No</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>17932618_1.jpg</td>\n",
" <td>17932618_1</td>\n",
" <td>old_removed</td>\n",
" <td>nan</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>17932618_1.jpg</td>\n",
" <td>17932618_1</td>\n",
" <td>new_added</td>\n",
" <td>No</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>17932618_10.jpg</td>\n",
" <td>17932618_10</td>\n",
" <td>old_removed</td>\n",
" <td>nan</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>17932618_10.jpg</td>\n",
" <td>17932618_10</td>\n",
" <td>new_added</td>\n",
" <td>No</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>17932618_11.jpg</td>\n",
" <td>17932618_11</td>\n",
" <td>old_removed</td>\n",
" <td>nan</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>17932618_11.jpg</td>\n",
" <td>17932618_11</td>\n",
" <td>new_added</td>\n",
" <td>No</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>17932618_12.jpg</td>\n",
" <td>17932618_12</td>\n",
" <td>old_removed</td>\n",
" <td>nan</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>17932618_12.jpg</td>\n",
" <td>17932618_12</td>\n",
" <td>new_added</td>\n",
" <td>No</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>17932618_13.jpg</td>\n",
" <td>17932618_13</td>\n",
" <td>old_removed</td>\n",
" <td>nan</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>17932618_13.jpg</td>\n",
" <td>17932618_13</td>\n",
" <td>new_added</td>\n",
" <td>No</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>17932618_14.jpg</td>\n",
" <td>17932618_14</td>\n",
" <td>old_removed</td>\n",
" <td>nan</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>17932618_14.jpg</td>\n",
" <td>17932618_14</td>\n",
" <td>new_added</td>\n",
" <td>No</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>17932618_15.jpg</td>\n",
" <td>17932618_15</td>\n",
" <td>old_removed</td>\n",
" <td>nan</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td>17932618_15.jpg</td>\n",
" <td>17932618_15</td>\n",
" <td>new_added</td>\n",
" <td>No</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>17932618_16.jpg</td>\n",
" <td>17932618_16</td>\n",
" <td>old_removed</td>\n",
" <td>nan</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17</th>\n",
" <td>17932618_16.jpg</td>\n",
" <td>17932618_16</td>\n",
" <td>new_added</td>\n",
" <td>No</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td>17932618_17.jpg</td>\n",
" <td>17932618_17</td>\n",
" <td>old_removed</td>\n",
" <td>nan</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>17932618_17.jpg</td>\n",
" <td>17932618_17</td>\n",
" <td>new_added</td>\n",
" <td>No</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <td>17932618_18.jpg</td>\n",
" <td>17932618_18</td>\n",
" <td>old_removed</td>\n",
" <td>nan</td>\n",
" </tr>\n",
" <tr>\n",
" <th>21</th>\n",
" <td>17932618_18.jpg</td>\n",
" <td>17932618_18</td>\n",
" <td>new_added</td>\n",
" <td>No</td>\n",
" </tr>\n",
" <tr>\n",
" <th>22</th>\n",
" <td>17932618_19.jpg</td>\n",
" <td>17932618_19</td>\n",
" <td>old_removed</td>\n",
" <td>nan</td>\n",
" </tr>\n",
" <tr>\n",
" <th>23</th>\n",
" <td>17932618_19.jpg</td>\n",
" <td>17932618_19</td>\n",
" <td>new_added</td>\n",
" <td>No</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24</th>\n",
" <td>17932618_2.jpg</td>\n",
" <td>17932618_2</td>\n",
" <td>old_removed</td>\n",
" <td>nan</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25</th>\n",
" <td>17932618_2.jpg</td>\n",
" <td>17932618_2</td>\n",
" <td>new_added</td>\n",
" <td>No</td>\n",
" </tr>\n",
" <tr>\n",
" <th>26</th>\n",
" <td>17932618_20.jpg</td>\n",
" <td>17932618_20</td>\n",
" <td>old_removed</td>\n",
" <td>nan</td>\n",
" </tr>\n",
" <tr>\n",
" <th>27</th>\n",
" <td>17932618_20.jpg</td>\n",
" <td>17932618_20</td>\n",
" <td>new_added</td>\n",
" <td>No</td>\n",
" </tr>\n",
" <tr>\n",
" <th>28</th>\n",
" <td>17932618_21.jpg</td>\n",
" <td>17932618_21</td>\n",
" <td>old_removed</td>\n",
" <td>nan</td>\n",
" </tr>\n",
" <tr>\n",
" <th>29</th>\n",
" <td>17932618_21.jpg</td>\n",
" <td>17932618_21</td>\n",
" <td>new_added</td>\n",
" <td>No</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>120</th>\n",
" <td>76459_10.png</td>\n",
" <td>76459_10</td>\n",
" <td>old_removed</td>\n",
" <td>nan</td>\n",
" </tr>\n",
" <tr>\n",
" <th>121</th>\n",
" <td>76459_10.png</td>\n",
" <td>76459_10</td>\n",
" <td>new_added</td>\n",
" <td>No</td>\n",
" </tr>\n",
" <tr>\n",
" <th>122</th>\n",
" <td>76459_11.png</td>\n",
" <td>76459_11</td>\n",
" <td>old_removed</td>\n",
" <td>nan</td>\n",
" </tr>\n",
" <tr>\n",
" <th>123</th>\n",
" <td>76459_11.png</td>\n",
" <td>76459_11</td>\n",
" <td>new_added</td>\n",
" <td>No</td>\n",
" </tr>\n",
" <tr>\n",
" <th>124</th>\n",
" <td>76459_12.png</td>\n",
" <td>76459_12</td>\n",
" <td>old_removed</td>\n",
" <td>nan</td>\n",
" </tr>\n",
" <tr>\n",
" <th>125</th>\n",
" <td>76459_12.png</td>\n",
" <td>76459_12</td>\n",
" <td>new_added</td>\n",
" <td>No</td>\n",
" </tr>\n",
" <tr>\n",
" <th>126</th>\n",
" <td>76459_13.png</td>\n",
" <td>76459_13</td>\n",
" <td>old_removed</td>\n",
" <td>nan</td>\n",
" </tr>\n",
" <tr>\n",
" <th>127</th>\n",
" <td>76459_13.png</td>\n",
" <td>76459_13</td>\n",
" <td>new_added</td>\n",
" <td>No</td>\n",
" </tr>\n",
" <tr>\n",
" <th>128</th>\n",
" <td>76459_14.png</td>\n",
" <td>76459_14</td>\n",
" <td>old_removed</td>\n",
" <td>nan</td>\n",
" </tr>\n",
" <tr>\n",
" <th>129</th>\n",
" <td>76459_14.png</td>\n",
" <td>76459_14</td>\n",
" <td>new_added</td>\n",
" <td>No</td>\n",
" </tr>\n",
" <tr>\n",
" <th>130</th>\n",
" <td>76459_15.png</td>\n",
" <td>76459_15</td>\n",
" <td>old_removed</td>\n",
" <td>nan</td>\n",
" </tr>\n",
" <tr>\n",
" <th>131</th>\n",
" <td>76459_15.png</td>\n",
" <td>76459_15</td>\n",
" <td>new_added</td>\n",
" <td>No</td>\n",
" </tr>\n",
" <tr>\n",
" <th>132</th>\n",
" <td>76459_16.png</td>\n",
" <td>76459_16</td>\n",
" <td>old_removed</td>\n",
" <td>nan</td>\n",
" </tr>\n",
" <tr>\n",
" <th>133</th>\n",
" <td>76459_16.png</td>\n",
" <td>76459_16</td>\n",
" <td>new_added</td>\n",
" <td>No</td>\n",
" </tr>\n",
" <tr>\n",
" <th>134</th>\n",
" <td>76459_2.png</td>\n",
" <td>76459_2</td>\n",
" <td>old_removed</td>\n",
" <td>nan</td>\n",
" </tr>\n",
" <tr>\n",
" <th>135</th>\n",
" <td>76459_2.png</td>\n",
" <td>76459_2</td>\n",
" <td>new_added</td>\n",
" <td>No</td>\n",
" </tr>\n",
" <tr>\n",
" <th>136</th>\n",
" <td>76459_3.png</td>\n",
" <td>76459_3</td>\n",
" <td>old_removed</td>\n",
" <td>nan</td>\n",
" </tr>\n",
" <tr>\n",
" <th>137</th>\n",
" <td>76459_3.png</td>\n",
" <td>76459_3</td>\n",
" <td>new_added</td>\n",
" <td>No</td>\n",
" </tr>\n",
" <tr>\n",
" <th>138</th>\n",
" <td>76459_4.png</td>\n",
" <td>76459_4</td>\n",
" <td>old_removed</td>\n",
" <td>nan</td>\n",
" </tr>\n",
" <tr>\n",
" <th>139</th>\n",
" <td>76459_4.png</td>\n",
" <td>76459_4</td>\n",
" <td>new_added</td>\n",
" <td>No</td>\n",
" </tr>\n",
" <tr>\n",
" <th>140</th>\n",
" <td>76459_5.png</td>\n",
" <td>76459_5</td>\n",
" <td>old_removed</td>\n",
" <td>nan</td>\n",
" </tr>\n",
" <tr>\n",
" <th>141</th>\n",
" <td>76459_5.png</td>\n",
" <td>76459_5</td>\n",
" <td>new_added</td>\n",
" <td>No</td>\n",
" </tr>\n",
" <tr>\n",
" <th>142</th>\n",
" <td>76459_6.png</td>\n",
" <td>76459_6</td>\n",
" <td>old_removed</td>\n",
" <td>nan</td>\n",
" </tr>\n",
" <tr>\n",
" <th>143</th>\n",
" <td>76459_6.png</td>\n",
" <td>76459_6</td>\n",
" <td>new_added</td>\n",
" <td>No</td>\n",
" </tr>\n",
" <tr>\n",
" <th>144</th>\n",
" <td>76459_7.png</td>\n",
" <td>76459_7</td>\n",
" <td>old_removed</td>\n",
" <td>nan</td>\n",
" </tr>\n",
" <tr>\n",
" <th>145</th>\n",
" <td>76459_7.png</td>\n",
" <td>76459_7</td>\n",
" <td>new_added</td>\n",
" <td>No</td>\n",
" </tr>\n",
" <tr>\n",
" <th>146</th>\n",
" <td>76459_8.png</td>\n",
" <td>76459_8</td>\n",
" <td>old_removed</td>\n",
" <td>nan</td>\n",
" </tr>\n",
" <tr>\n",
" <th>147</th>\n",
" <td>76459_8.png</td>\n",
" <td>76459_8</td>\n",
" <td>new_added</td>\n",
" <td>No</td>\n",
" </tr>\n",
" <tr>\n",
" <th>148</th>\n",
" <td>76459_9.png</td>\n",
" <td>76459_9</td>\n",
" <td>old_removed</td>\n",
" <td>nan</td>\n",
" </tr>\n",
" <tr>\n",
" <th>149</th>\n",
" <td>76459_9.png</td>\n",
" <td>76459_9</td>\n",
" <td>new_added</td>\n",
" <td>No</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>150 rows × 4 columns</p>\n",
"</div>"
],
"text/plain": [
" file file_name image_type verified\n",
"0 17932618_0.jpg 17932618_0 old_removed nan\n",
"1 17932618_0.jpg 17932618_0 new_added No\n",
"2 17932618_1.jpg 17932618_1 old_removed nan\n",
"3 17932618_1.jpg 17932618_1 new_added No\n",
"4 17932618_10.jpg 17932618_10 old_removed nan\n",
"5 17932618_10.jpg 17932618_10 new_added No\n",
"6 17932618_11.jpg 17932618_11 old_removed nan\n",
"7 17932618_11.jpg 17932618_11 new_added No\n",
"8 17932618_12.jpg 17932618_12 old_removed nan\n",
"9 17932618_12.jpg 17932618_12 new_added No\n",
"10 17932618_13.jpg 17932618_13 old_removed nan\n",
"11 17932618_13.jpg 17932618_13 new_added No\n",
"12 17932618_14.jpg 17932618_14 old_removed nan\n",
"13 17932618_14.jpg 17932618_14 new_added No\n",
"14 17932618_15.jpg 17932618_15 old_removed nan\n",
"15 17932618_15.jpg 17932618_15 new_added No\n",
"16 17932618_16.jpg 17932618_16 old_removed nan\n",
"17 17932618_16.jpg 17932618_16 new_added No\n",
"18 17932618_17.jpg 17932618_17 old_removed nan\n",
"19 17932618_17.jpg 17932618_17 new_added No\n",
"20 17932618_18.jpg 17932618_18 old_removed nan\n",
"21 17932618_18.jpg 17932618_18 new_added No\n",
"22 17932618_19.jpg 17932618_19 old_removed nan\n",
"23 17932618_19.jpg 17932618_19 new_added No\n",
"24 17932618_2.jpg 17932618_2 old_removed nan\n",
"25 17932618_2.jpg 17932618_2 new_added No\n",
"26 17932618_20.jpg 17932618_20 old_removed nan\n",
"27 17932618_20.jpg 17932618_20 new_added No\n",
"28 17932618_21.jpg 17932618_21 old_removed nan\n",
"29 17932618_21.jpg 17932618_21 new_added No\n",
".. ... ... ... ...\n",
"120 76459_10.png 76459_10 old_removed nan\n",
"121 76459_10.png 76459_10 new_added No\n",
"122 76459_11.png 76459_11 old_removed nan\n",
"123 76459_11.png 76459_11 new_added No\n",
"124 76459_12.png 76459_12 old_removed nan\n",
"125 76459_12.png 76459_12 new_added No\n",
"126 76459_13.png 76459_13 old_removed nan\n",
"127 76459_13.png 76459_13 new_added No\n",
"128 76459_14.png 76459_14 old_removed nan\n",
"129 76459_14.png 76459_14 new_added No\n",
"130 76459_15.png 76459_15 old_removed nan\n",
"131 76459_15.png 76459_15 new_added No\n",
"132 76459_16.png 76459_16 old_removed nan\n",
"133 76459_16.png 76459_16 new_added No\n",
"134 76459_2.png 76459_2 old_removed nan\n",
"135 76459_2.png 76459_2 new_added No\n",
"136 76459_3.png 76459_3 old_removed nan\n",
"137 76459_3.png 76459_3 new_added No\n",
"138 76459_4.png 76459_4 old_removed nan\n",
"139 76459_4.png 76459_4 new_added No\n",
"140 76459_5.png 76459_5 old_removed nan\n",
"141 76459_5.png 76459_5 new_added No\n",
"142 76459_6.png 76459_6 old_removed nan\n",
"143 76459_6.png 76459_6 new_added No\n",
"144 76459_7.png 76459_7 old_removed nan\n",
"145 76459_7.png 76459_7 new_added No\n",
"146 76459_8.png 76459_8 old_removed nan\n",
"147 76459_8.png 76459_8 new_added No\n",
"148 76459_9.png 76459_9 old_removed nan\n",
"149 76459_9.png 76459_9 new_added No\n",
"\n",
"[150 rows x 4 columns]"
]
},
"execution_count": 39,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"y"
]
},
{
"cell_type": "code",
"execution_count": 58,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/Users/jaideep/anaconda3/lib/python2.7/site-packages/skimage/measure/_structural_similarity.py:234: skimage_deprecation: Function ``structural_similarity`` is deprecated and will be removed in version 0.14. Use ``compare_ssim`` instead.\n",
" def structural_similarity(X, Y, win_size=None, gradient=False,\n",
"/Users/jaideep/anaconda3/lib/python2.7/site-packages/skimage/measure/_structural_similarity.py:234: skimage_deprecation: Function ``structural_similarity`` is deprecated and will be removed in version 0.14. Use ``compare_ssim`` instead.\n",
" def structural_similarity(X, Y, win_size=None, gradient=False,\n",
"/Users/jaideep/anaconda3/lib/python2.7/site-packages/skimage/measure/_structural_similarity.py:234: skimage_deprecation: Function ``structural_similarity`` is deprecated and will be removed in version 0.14. Use ``compare_ssim`` instead.\n",
" def structural_similarity(X, Y, win_size=None, gradient=False,\n",
"/Users/jaideep/anaconda3/lib/python2.7/site-packages/skimage/measure/_structural_similarity.py:234: skimage_deprecation: Function ``structural_similarity`` is deprecated and will be removed in version 0.14. Use ``compare_ssim`` instead.\n",
" def structural_similarity(X, Y, win_size=None, gradient=False,\n",
"/Users/jaideep/anaconda3/lib/python2.7/site-packages/skimage/measure/_structural_similarity.py:234: skimage_deprecation: Function ``structural_similarity`` is deprecated and will be removed in version 0.14. Use ``compare_ssim`` instead.\n",
" def structural_similarity(X, Y, win_size=None, gradient=False,\n",
"/Users/jaideep/anaconda3/lib/python2.7/site-packages/skimage/measure/_structural_similarity.py:234: skimage_deprecation: Function ``structural_similarity`` is deprecated and will be removed in version 0.14. Use ``compare_ssim`` instead.\n",
" def structural_similarity(X, Y, win_size=None, gradient=False,\n",
"/Users/jaideep/anaconda3/lib/python2.7/site-packages/skimage/measure/_structural_similarity.py:234: skimage_deprecation: Function ``structural_similarity`` is deprecated and will be removed in version 0.14. Use ``compare_ssim`` instead.\n",
" def structural_similarity(X, Y, win_size=None, gradient=False,\n",
"/Users/jaideep/anaconda3/lib/python2.7/site-packages/skimage/measure/_structural_similarity.py:234: skimage_deprecation: Function ``structural_similarity`` is deprecated and will be removed in version 0.14. Use ``compare_ssim`` instead.\n",
" def structural_similarity(X, Y, win_size=None, gradient=False,\n",
"/Users/jaideep/anaconda3/lib/python2.7/site-packages/skimage/measure/_structural_similarity.py:234: skimage_deprecation: Function ``structural_similarity`` is deprecated and will be removed in version 0.14. Use ``compare_ssim`` instead.\n",
" def structural_similarity(X, Y, win_size=None, gradient=False,\n",
"/Users/jaideep/anaconda3/lib/python2.7/site-packages/skimage/measure/_structural_similarity.py:234: skimage_deprecation: Function ``structural_similarity`` is deprecated and will be removed in version 0.14. Use ``compare_ssim`` instead.\n",
" def structural_similarity(X, Y, win_size=None, gradient=False,\n",
"/Users/jaideep/anaconda3/lib/python2.7/site-packages/skimage/measure/_structural_similarity.py:234: skimage_deprecation: Function ``structural_similarity`` is deprecated and will be removed in version 0.14. Use ``compare_ssim`` instead.\n",
" def structural_similarity(X, Y, win_size=None, gradient=False,\n",
"/Users/jaideep/anaconda3/lib/python2.7/site-packages/skimage/measure/_structural_similarity.py:234: skimage_deprecation: Function ``structural_similarity`` is deprecated and will be removed in version 0.14. Use ``compare_ssim`` instead.\n",
" def structural_similarity(X, Y, win_size=None, gradient=False,\n",
"/Users/jaideep/anaconda3/lib/python2.7/site-packages/skimage/measure/_structural_similarity.py:234: skimage_deprecation: Function ``structural_similarity`` is deprecated and will be removed in version 0.14. Use ``compare_ssim`` instead.\n",
" def structural_similarity(X, Y, win_size=None, gradient=False,\n",
"/Users/jaideep/anaconda3/lib/python2.7/site-packages/skimage/measure/_structural_similarity.py:234: skimage_deprecation: Function ``structural_similarity`` is deprecated and will be removed in version 0.14. Use ``compare_ssim`` instead.\n",
" def structural_similarity(X, Y, win_size=None, gradient=False,\n",
"/Users/jaideep/anaconda3/lib/python2.7/site-packages/skimage/measure/_structural_similarity.py:234: skimage_deprecation: Function ``structural_similarity`` is deprecated and will be removed in version 0.14. Use ``compare_ssim`` instead.\n",
" def structural_similarity(X, Y, win_size=None, gradient=False,\n",
"/Users/jaideep/anaconda3/lib/python2.7/site-packages/skimage/measure/_structural_similarity.py:234: skimage_deprecation: Function ``structural_similarity`` is deprecated and will be removed in version 0.14. Use ``compare_ssim`` instead.\n",
" def structural_similarity(X, Y, win_size=None, gradient=False,\n",
"/Users/jaideep/anaconda3/lib/python2.7/site-packages/skimage/measure/_structural_similarity.py:234: skimage_deprecation: Function ``structural_similarity`` is deprecated and will be removed in version 0.14. Use ``compare_ssim`` instead.\n",
" def structural_similarity(X, Y, win_size=None, gradient=False,\n",
"/Users/jaideep/anaconda3/lib/python2.7/site-packages/skimage/measure/_structural_similarity.py:234: skimage_deprecation: Function ``structural_similarity`` is deprecated and will be removed in version 0.14. Use ``compare_ssim`` instead.\n",
" def structural_similarity(X, Y, win_size=None, gradient=False,\n",
"/Users/jaideep/anaconda3/lib/python2.7/site-packages/skimage/measure/_structural_similarity.py:234: skimage_deprecation: Function ``structural_similarity`` is deprecated and will be removed in version 0.14. Use ``compare_ssim`` instead.\n",
" def structural_similarity(X, Y, win_size=None, gradient=False,\n",
"/Users/jaideep/anaconda3/lib/python2.7/site-packages/skimage/measure/_structural_similarity.py:234: skimage_deprecation: Function ``structural_similarity`` is deprecated and will be removed in version 0.14. Use ``compare_ssim`` instead.\n",
" def structural_similarity(X, Y, win_size=None, gradient=False,\n",
"/Users/jaideep/anaconda3/lib/python2.7/site-packages/skimage/measure/_structural_similarity.py:234: skimage_deprecation: Function ``structural_similarity`` is deprecated and will be removed in version 0.14. Use ``compare_ssim`` instead.\n",
" def structural_similarity(X, Y, win_size=None, gradient=False,\n",
"/Users/jaideep/anaconda3/lib/python2.7/site-packages/skimage/measure/_structural_similarity.py:234: skimage_deprecation: Function ``structural_similarity`` is deprecated and will be removed in version 0.14. Use ``compare_ssim`` instead.\n",
" def structural_similarity(X, Y, win_size=None, gradient=False,\n",
"/Users/jaideep/anaconda3/lib/python2.7/site-packages/skimage/measure/_structural_similarity.py:234: skimage_deprecation: Function ``structural_similarity`` is deprecated and will be removed in version 0.14. Use ``compare_ssim`` instead.\n",
" def structural_similarity(X, Y, win_size=None, gradient=False,\n",
"/Users/jaideep/anaconda3/lib/python2.7/site-packages/skimage/measure/_structural_similarity.py:234: skimage_deprecation: Function ``structural_similarity`` is deprecated and will be removed in version 0.14. Use ``compare_ssim`` instead.\n",
" def structural_similarity(X, Y, win_size=None, gradient=False,\n",
"/Users/jaideep/anaconda3/lib/python2.7/site-packages/skimage/measure/_structural_similarity.py:234: skimage_deprecation: Function ``structural_similarity`` is deprecated and will be removed in version 0.14. Use ``compare_ssim`` instead.\n",
" def structural_similarity(X, Y, win_size=None, gradient=False,\n",
"/Users/jaideep/anaconda3/lib/python2.7/site-packages/skimage/measure/_structural_similarity.py:234: skimage_deprecation: Function ``structural_similarity`` is deprecated and will be removed in version 0.14. Use ``compare_ssim`` instead.\n",
" def structural_similarity(X, Y, win_size=None, gradient=False,\n",
"/Users/jaideep/anaconda3/lib/python2.7/site-packages/skimage/measure/_structural_similarity.py:234: skimage_deprecation: Function ``structural_similarity`` is deprecated and will be removed in version 0.14. Use ``compare_ssim`` instead.\n",
" def structural_similarity(X, Y, win_size=None, gradient=False,\n",
"/Users/jaideep/anaconda3/lib/python2.7/site-packages/skimage/measure/_structural_similarity.py:234: skimage_deprecation: Function ``structural_similarity`` is deprecated and will be removed in version 0.14. Use ``compare_ssim`` instead.\n",
" def structural_similarity(X, Y, win_size=None, gradient=False,\n",
"/Users/jaideep/anaconda3/lib/python2.7/site-packages/skimage/measure/_structural_similarity.py:234: skimage_deprecation: Function ``structural_similarity`` is deprecated and will be removed in version 0.14. Use ``compare_ssim`` instead.\n",
" def structural_similarity(X, Y, win_size=None, gradient=False,\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/Users/jaideep/anaconda3/lib/python2.7/site-packages/skimage/measure/_structural_similarity.py:234: skimage_deprecation: Function ``structural_similarity`` is deprecated and will be removed in version 0.14. Use ``compare_ssim`` instead.\n",
" def structural_similarity(X, Y, win_size=None, gradient=False,\n",
"/Users/jaideep/anaconda3/lib/python2.7/site-packages/skimage/measure/_structural_similarity.py:234: skimage_deprecation: Function ``structural_similarity`` is deprecated and will be removed in version 0.14. Use ``compare_ssim`` instead.\n",
" def structural_similarity(X, Y, win_size=None, gradient=False,\n",
"/Users/jaideep/anaconda3/lib/python2.7/site-packages/skimage/measure/_structural_similarity.py:234: skimage_deprecation: Function ``structural_similarity`` is deprecated and will be removed in version 0.14. Use ``compare_ssim`` instead.\n",
" def structural_similarity(X, Y, win_size=None, gradient=False,\n",
"/Users/jaideep/anaconda3/lib/python2.7/site-packages/skimage/measure/_structural_similarity.py:234: skimage_deprecation: Function ``structural_similarity`` is deprecated and will be removed in version 0.14. Use ``compare_ssim`` instead.\n",
" def structural_similarity(X, Y, win_size=None, gradient=False,\n",
"/Users/jaideep/anaconda3/lib/python2.7/site-packages/skimage/measure/_structural_similarity.py:234: skimage_deprecation: Function ``structural_similarity`` is deprecated and will be removed in version 0.14. Use ``compare_ssim`` instead.\n",
" def structural_similarity(X, Y, win_size=None, gradient=False,\n",
"/Users/jaideep/anaconda3/lib/python2.7/site-packages/skimage/measure/_structural_similarity.py:234: skimage_deprecation: Function ``structural_similarity`` is deprecated and will be removed in version 0.14. Use ``compare_ssim`` instead.\n",
" def structural_similarity(X, Y, win_size=None, gradient=False,\n",
"/Users/jaideep/anaconda3/lib/python2.7/site-packages/skimage/measure/_structural_similarity.py:234: skimage_deprecation: Function ``structural_similarity`` is deprecated and will be removed in version 0.14. Use ``compare_ssim`` instead.\n",
" def structural_similarity(X, Y, win_size=None, gradient=False,\n",
"/Users/jaideep/anaconda3/lib/python2.7/site-packages/skimage/measure/_structural_similarity.py:234: skimage_deprecation: Function ``structural_similarity`` is deprecated and will be removed in version 0.14. Use ``compare_ssim`` instead.\n",
" def structural_similarity(X, Y, win_size=None, gradient=False,\n",
"/Users/jaideep/anaconda3/lib/python2.7/site-packages/skimage/measure/_structural_similarity.py:234: skimage_deprecation: Function ``structural_similarity`` is deprecated and will be removed in version 0.14. Use ``compare_ssim`` instead.\n",
" def structural_similarity(X, Y, win_size=None, gradient=False,\n",
"/Users/jaideep/anaconda3/lib/python2.7/site-packages/skimage/measure/_structural_similarity.py:234: skimage_deprecation: Function ``structural_similarity`` is deprecated and will be removed in version 0.14. Use ``compare_ssim`` instead.\n",
" def structural_similarity(X, Y, win_size=None, gradient=False,\n",
"/Users/jaideep/anaconda3/lib/python2.7/site-packages/skimage/measure/_structural_similarity.py:234: skimage_deprecation: Function ``structural_similarity`` is deprecated and will be removed in version 0.14. Use ``compare_ssim`` instead.\n",
" def structural_similarity(X, Y, win_size=None, gradient=False,\n",
"/Users/jaideep/anaconda3/lib/python2.7/site-packages/skimage/measure/_structural_similarity.py:234: skimage_deprecation: Function ``structural_similarity`` is deprecated and will be removed in version 0.14. Use ``compare_ssim`` instead.\n",
" def structural_similarity(X, Y, win_size=None, gradient=False,\n",
"/Users/jaideep/anaconda3/lib/python2.7/site-packages/skimage/measure/_structural_similarity.py:234: skimage_deprecation: Function ``structural_similarity`` is deprecated and will be removed in version 0.14. Use ``compare_ssim`` instead.\n",
" def structural_similarity(X, Y, win_size=None, gradient=False,\n",
"/Users/jaideep/anaconda3/lib/python2.7/site-packages/skimage/measure/_structural_similarity.py:234: skimage_deprecation: Function ``structural_similarity`` is deprecated and will be removed in version 0.14. Use ``compare_ssim`` instead.\n",
" def structural_similarity(X, Y, win_size=None, gradient=False,\n",
"/Users/jaideep/anaconda3/lib/python2.7/site-packages/skimage/measure/_structural_similarity.py:234: skimage_deprecation: Function ``structural_similarity`` is deprecated and will be removed in version 0.14. Use ``compare_ssim`` instead.\n",
" def structural_similarity(X, Y, win_size=None, gradient=False,\n",
"/Users/jaideep/anaconda3/lib/python2.7/site-packages/skimage/measure/_structural_similarity.py:234: skimage_deprecation: Function ``structural_similarity`` is deprecated and will be removed in version 0.14. Use ``compare_ssim`` instead.\n",
" def structural_similarity(X, Y, win_size=None, gradient=False,\n",
"/Users/jaideep/anaconda3/lib/python2.7/site-packages/skimage/measure/_structural_similarity.py:234: skimage_deprecation: Function ``structural_similarity`` is deprecated and will be removed in version 0.14. Use ``compare_ssim`` instead.\n",
" def structural_similarity(X, Y, win_size=None, gradient=False,\n",
"/Users/jaideep/anaconda3/lib/python2.7/site-packages/skimage/measure/_structural_similarity.py:234: skimage_deprecation: Function ``structural_similarity`` is deprecated and will be removed in version 0.14. Use ``compare_ssim`` instead.\n",
" def structural_similarity(X, Y, win_size=None, gradient=False,\n",
"/Users/jaideep/anaconda3/lib/python2.7/site-packages/skimage/measure/_structural_similarity.py:234: skimage_deprecation: Function ``structural_similarity`` is deprecated and will be removed in version 0.14. Use ``compare_ssim`` instead.\n",
" def structural_similarity(X, Y, win_size=None, gradient=False,\n",
"/Users/jaideep/anaconda3/lib/python2.7/site-packages/skimage/measure/_structural_similarity.py:234: skimage_deprecation: Function ``structural_similarity`` is deprecated and will be removed in version 0.14. Use ``compare_ssim`` instead.\n",
" def structural_similarity(X, Y, win_size=None, gradient=False,\n",
"/Users/jaideep/anaconda3/lib/python2.7/site-packages/skimage/measure/_structural_similarity.py:234: skimage_deprecation: Function ``structural_similarity`` is deprecated and will be removed in version 0.14. Use ``compare_ssim`` instead.\n",
" def structural_similarity(X, Y, win_size=None, gradient=False,\n",
"/Users/jaideep/anaconda3/lib/python2.7/site-packages/skimage/measure/_structural_similarity.py:234: skimage_deprecation: Function ``structural_similarity`` is deprecated and will be removed in version 0.14. Use ``compare_ssim`` instead.\n",
" def structural_similarity(X, Y, win_size=None, gradient=False,\n",
"/Users/jaideep/anaconda3/lib/python2.7/site-packages/skimage/measure/_structural_similarity.py:234: skimage_deprecation: Function ``structural_similarity`` is deprecated and will be removed in version 0.14. Use ``compare_ssim`` instead.\n",
" def structural_similarity(X, Y, win_size=None, gradient=False,\n",
"/Users/jaideep/anaconda3/lib/python2.7/site-packages/skimage/measure/_structural_similarity.py:234: skimage_deprecation: Function ``structural_similarity`` is deprecated and will be removed in version 0.14. Use ``compare_ssim`` instead.\n",
" def structural_similarity(X, Y, win_size=None, gradient=False,\n",
"/Users/jaideep/anaconda3/lib/python2.7/site-packages/skimage/measure/_structural_similarity.py:234: skimage_deprecation: Function ``structural_similarity`` is deprecated and will be removed in version 0.14. Use ``compare_ssim`` instead.\n",
" def structural_similarity(X, Y, win_size=None, gradient=False,\n",
"/Users/jaideep/anaconda3/lib/python2.7/site-packages/skimage/measure/_structural_similarity.py:234: skimage_deprecation: Function ``structural_similarity`` is deprecated and will be removed in version 0.14. Use ``compare_ssim`` instead.\n",
" def structural_similarity(X, Y, win_size=None, gradient=False,\n",
"/Users/jaideep/anaconda3/lib/python2.7/site-packages/skimage/measure/_structural_similarity.py:234: skimage_deprecation: Function ``structural_similarity`` is deprecated and will be removed in version 0.14. Use ``compare_ssim`` instead.\n",
" def structural_similarity(X, Y, win_size=None, gradient=False,\n",
"/Users/jaideep/anaconda3/lib/python2.7/site-packages/skimage/measure/_structural_similarity.py:234: skimage_deprecation: Function ``structural_similarity`` is deprecated and will be removed in version 0.14. Use ``compare_ssim`` instead.\n",
" def structural_similarity(X, Y, win_size=None, gradient=False,\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/Users/jaideep/anaconda3/lib/python2.7/site-packages/skimage/measure/_structural_similarity.py:234: skimage_deprecation: Function ``structural_similarity`` is deprecated and will be removed in version 0.14. Use ``compare_ssim`` instead.\n",
" def structural_similarity(X, Y, win_size=None, gradient=False,\n",
"/Users/jaideep/anaconda3/lib/python2.7/site-packages/skimage/measure/_structural_similarity.py:234: skimage_deprecation: Function ``structural_similarity`` is deprecated and will be removed in version 0.14. Use ``compare_ssim`` instead.\n",
" def structural_similarity(X, Y, win_size=None, gradient=False,\n",
"/Users/jaideep/anaconda3/lib/python2.7/site-packages/skimage/measure/_structural_similarity.py:234: skimage_deprecation: Function ``structural_similarity`` is deprecated and will be removed in version 0.14. Use ``compare_ssim`` instead.\n",
" def structural_similarity(X, Y, win_size=None, gradient=False,\n",
"/Users/jaideep/anaconda3/lib/python2.7/site-packages/skimage/measure/_structural_similarity.py:234: skimage_deprecation: Function ``structural_similarity`` is deprecated and will be removed in version 0.14. Use ``compare_ssim`` instead.\n",
" def structural_similarity(X, Y, win_size=None, gradient=False,\n",
"/Users/jaideep/anaconda3/lib/python2.7/site-packages/skimage/measure/_structural_similarity.py:234: skimage_deprecation: Function ``structural_similarity`` is deprecated and will be removed in version 0.14. Use ``compare_ssim`` instead.\n",
" def structural_similarity(X, Y, win_size=None, gradient=False,\n",
"/Users/jaideep/anaconda3/lib/python2.7/site-packages/skimage/measure/_structural_similarity.py:234: skimage_deprecation: Function ``structural_similarity`` is deprecated and will be removed in version 0.14. Use ``compare_ssim`` instead.\n",
" def structural_similarity(X, Y, win_size=None, gradient=False,\n",
"/Users/jaideep/anaconda3/lib/python2.7/site-packages/skimage/measure/_structural_similarity.py:234: skimage_deprecation: Function ``structural_similarity`` is deprecated and will be removed in version 0.14. Use ``compare_ssim`` instead.\n",
" def structural_similarity(X, Y, win_size=None, gradient=False,\n",
"/Users/jaideep/anaconda3/lib/python2.7/site-packages/skimage/measure/_structural_similarity.py:234: skimage_deprecation: Function ``structural_similarity`` is deprecated and will be removed in version 0.14. Use ``compare_ssim`` instead.\n",
" def structural_similarity(X, Y, win_size=None, gradient=False,\n",
"/Users/jaideep/anaconda3/lib/python2.7/site-packages/skimage/measure/_structural_similarity.py:234: skimage_deprecation: Function ``structural_similarity`` is deprecated and will be removed in version 0.14. Use ``compare_ssim`` instead.\n",
" def structural_similarity(X, Y, win_size=None, gradient=False,\n",
"/Users/jaideep/anaconda3/lib/python2.7/site-packages/skimage/measure/_structural_similarity.py:234: skimage_deprecation: Function ``structural_similarity`` is deprecated and will be removed in version 0.14. Use ``compare_ssim`` instead.\n",
" def structural_similarity(X, Y, win_size=None, gradient=False,\n",
"/Users/jaideep/anaconda3/lib/python2.7/site-packages/skimage/measure/_structural_similarity.py:234: skimage_deprecation: Function ``structural_similarity`` is deprecated and will be removed in version 0.14. Use ``compare_ssim`` instead.\n",
" def structural_similarity(X, Y, win_size=None, gradient=False,\n",
"/Users/jaideep/anaconda3/lib/python2.7/site-packages/skimage/measure/_structural_similarity.py:234: skimage_deprecation: Function ``structural_similarity`` is deprecated and will be removed in version 0.14. Use ``compare_ssim`` instead.\n",
" def structural_similarity(X, Y, win_size=None, gradient=False,\n",
"/Users/jaideep/anaconda3/lib/python2.7/site-packages/skimage/measure/_structural_similarity.py:234: skimage_deprecation: Function ``structural_similarity`` is deprecated and will be removed in version 0.14. Use ``compare_ssim`` instead.\n",
" def structural_similarity(X, Y, win_size=None, gradient=False,\n",
"/Users/jaideep/anaconda3/lib/python2.7/site-packages/skimage/measure/_structural_similarity.py:234: skimage_deprecation: Function ``structural_similarity`` is deprecated and will be removed in version 0.14. Use ``compare_ssim`` instead.\n",
" def structural_similarity(X, Y, win_size=None, gradient=False,\n",
"/Users/jaideep/anaconda3/lib/python2.7/site-packages/skimage/measure/_structural_similarity.py:234: skimage_deprecation: Function ``structural_similarity`` is deprecated and will be removed in version 0.14. Use ``compare_ssim`` instead.\n",
" def structural_similarity(X, Y, win_size=None, gradient=False,\n",
"/Users/jaideep/anaconda3/lib/python2.7/site-packages/skimage/measure/_structural_similarity.py:234: skimage_deprecation: Function ``structural_similarity`` is deprecated and will be removed in version 0.14. Use ``compare_ssim`` instead.\n",
" def structural_similarity(X, Y, win_size=None, gradient=False,\n",
"/Users/jaideep/anaconda3/lib/python2.7/site-packages/skimage/measure/_structural_similarity.py:234: skimage_deprecation: Function ``structural_similarity`` is deprecated and will be removed in version 0.14. Use ``compare_ssim`` instead.\n",
" def structural_similarity(X, Y, win_size=None, gradient=False,\n",
"/Users/jaideep/anaconda3/lib/python2.7/site-packages/skimage/measure/_structural_similarity.py:234: skimage_deprecation: Function ``structural_similarity`` is deprecated and will be removed in version 0.14. Use ``compare_ssim`` instead.\n",
" def structural_similarity(X, Y, win_size=None, gradient=False,\n"
]
},
{
"ename": "ValueError",
"evalue": "arrays must all be same length",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m<ipython-input-58-a3a30075597c>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m 27\u001b[0m \u001b[0;34m'verified'\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0mh\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 28\u001b[0m \u001b[0;34m\"SSIM\"\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0mm\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 29\u001b[0;31m \u001b[0;34m'MSE'\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0mn\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 30\u001b[0m })\n",
"\u001b[0;32m/Users/jaideep/anaconda3/lib/python2.7/site-packages/pandas/core/frame.pyc\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, data, index, columns, dtype, copy)\u001b[0m\n\u001b[1;32m 328\u001b[0m dtype=dtype, copy=copy)\n\u001b[1;32m 329\u001b[0m \u001b[0;32melif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdict\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 330\u001b[0;31m \u001b[0mmgr\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_init_dict\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mindex\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcolumns\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdtype\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mdtype\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 331\u001b[0m \u001b[0;32melif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mma\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mMaskedArray\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 332\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mnumpy\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mma\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmrecords\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mmrecords\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m/Users/jaideep/anaconda3/lib/python2.7/site-packages/pandas/core/frame.pyc\u001b[0m in \u001b[0;36m_init_dict\u001b[0;34m(self, data, index, columns, dtype)\u001b[0m\n\u001b[1;32m 459\u001b[0m \u001b[0marrays\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mk\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mk\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mkeys\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 460\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 461\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0m_arrays_to_mgr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0marrays\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdata_names\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mindex\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcolumns\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdtype\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mdtype\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 462\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 463\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0m_init_ndarray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvalues\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mindex\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcolumns\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdtype\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcopy\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mFalse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m/Users/jaideep/anaconda3/lib/python2.7/site-packages/pandas/core/frame.pyc\u001b[0m in \u001b[0;36m_arrays_to_mgr\u001b[0;34m(arrays, arr_names, index, columns, dtype)\u001b[0m\n\u001b[1;32m 6128\u001b[0m \u001b[0;31m# figure out the index, if necessary\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 6129\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mindex\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 6130\u001b[0;31m \u001b[0mindex\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mextract_index\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0marrays\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 6131\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 6132\u001b[0m \u001b[0mindex\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_ensure_index\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mindex\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m/Users/jaideep/anaconda3/lib/python2.7/site-packages/pandas/core/frame.pyc\u001b[0m in \u001b[0;36mextract_index\u001b[0;34m(data)\u001b[0m\n\u001b[1;32m 6176\u001b[0m \u001b[0mlengths\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlist\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mset\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mraw_lengths\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 6177\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlengths\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m>\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 6178\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'arrays must all be same length'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 6179\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 6180\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mhave_dicts\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;31mValueError\u001b[0m: arrays must all be same length"
]
}
],
"source": [
"if len(dirs)==len(dirs2):\n",
" h=[];l=[];m=[];n=[]\n",
" count=0\n",
" for index,row in y.iterrows():\n",
" if(row[\"image_type\"]==\"new_added\"):\n",
" if(row[\"verified\"]==\"yes\"):\n",
" image_path_1=path_old + \"/\" + row[\"file\"]\n",
" image_path_2=path_new + \"/\" + row[\"file\"].split(\".\")[0]+\"_verified.\"+row[\"file\"].split(\".\")[1]\n",
" original = cv2.imread(image_path_1)\n",
" new = cv2.imread(image_path_2)\n",
" else:\n",
" image_path_3=path_old + \"/\" + row[\"file\"]\n",
" image_path_4=path_new + \"/\" + row[\"file\"]\n",
" original = cv2.imread(image_path_3)\n",
" new = cv2.imread(image_path_4)\n",
" original_trim = cv2.cvtColor(original, cv2.COLOR_BGR2GRAY)\n",
" new_trim = cv2.cvtColor(new, cv2.COLOR_BGR2GRAY)\n",
" ssim_var=ssim(original_trim, new_trim)\n",
"# mse=mse(original_trim, new_trim);\n",
" l.append(row[\"file_name\"])\n",
" h.append(row[\"verified\"])\n",
" m.append(ssim_var)\n",
"# n.append(mse)\n",
" \n",
"df_compared = pd.DataFrame(\n",
" {'file_name': l,\n",
" 'verified':h,\n",
" \"SSIM\":m\n",
" })"
]
},
{
"cell_type": "code",
"execution_count": 59,
"metadata": {},
"outputs": [
{
"data": {
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