{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"\n",
"df = pd.read_parquet('object_annotations.parquet')"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"data": {
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" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>col_x</th>\n",
" <th>row_y</th>\n",
" <th>width</th>\n",
" <th>height</th>\n",
" <th>confidence</th>\n",
" <th>label</th>\n",
" <th>source</th>\n",
" <th>caption</th>\n",
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" <td>97.0</td>\n",
" <td>29.0</td>\n",
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" <td>0.888</td>\n",
" <td>human face</td>\n",
" <td>VL</td>\n",
" <td>a man with a white shirt and a black tie</td>\n",
" <td>oxford-iiit-pet/images/Abyssinian_149.jpg</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>431.0</td>\n",
" <td>115.0</td>\n",
" <td>31.0</td>\n",
" <td>41.0</td>\n",
" <td>0.864</td>\n",
" <td>human face</td>\n",
" <td>VL</td>\n",
" <td>a woman with a blonde hair and a white shirt</td>\n",
" <td>oxford-iiit-pet/images/Abyssinian_149.jpg</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>160.0</td>\n",
" <td>76.0</td>\n",
" <td>63.0</td>\n",
" <td>79.0</td>\n",
" <td>0.377</td>\n",
" <td>human face</td>\n",
" <td>VL</td>\n",
" <td>a close up of a cat's face</td>\n",
" <td>oxford-iiit-pet/images/Abyssinian_149.jpg</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
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" <td>85.0</td>\n",
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" <td>human face</td>\n",
" <td>VL</td>\n",
" <td>a brown cat with green eyes</td>\n",
" <td>oxford-iiit-pet/images/Abyssinian_24.jpg</td>\n",
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" <tr>\n",
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" <td>0.822</td>\n",
" <td>human face</td>\n",
" <td>VL</td>\n",
" <td>a man wearing a hat</td>\n",
" <td>oxford-iiit-pet/images/Abyssinian_94.jpg</td>\n",
" </tr>\n",
" <tr>\n",
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" <td>dog</td>\n",
" <td>VL</td>\n",
" <td>a small dog standing on a rock near a stream</td>\n",
" <td>oxford-iiit-pet/images/yorkshire_terrier_97.jpg</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14324</th>\n",
" <td>156.0</td>\n",
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" <td>0.693</td>\n",
" <td>log</td>\n",
" <td>VL</td>\n",
" <td>a bird sitting on a rock next to a stream</td>\n",
" <td>oxford-iiit-pet/images/yorkshire_terrier_97.jpg</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14325</th>\n",
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" <td>dog</td>\n",
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" <td>a small black and brown puppy is being held by...</td>\n",
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" <td>person</td>\n",
" <td>VL</td>\n",
" <td>a small brown dog is being held by a person</td>\n",
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" </tr>\n",
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" <td>dog</td>\n",
" <td>VL</td>\n",
" <td>a small black and gray dog standing in the grass</td>\n",
" <td>oxford-iiit-pet/images/yorkshire_terrier_6.jpg</td>\n",
" </tr>\n",
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"</table>\n",
"<p>14328 rows × 9 columns</p>\n",
"</div>"
],
"text/plain": [
" col_x row_y width height confidence label source \\\n",
"0 459.0 97.0 29.0 34.0 0.888 human face VL \n",
"1 431.0 115.0 31.0 41.0 0.864 human face VL \n",
"2 160.0 76.0 63.0 79.0 0.377 human face VL \n",
"3 446.0 85.0 173.0 203.0 0.379 human face VL \n",
"4 -0.0 223.0 163.0 277.0 0.822 human face VL \n",
"... ... ... ... ... ... ... ... \n",
"14323 0.0 66.0 320.0 262.0 0.924 dog VL \n",
"14324 156.0 366.0 179.0 134.0 0.693 log VL \n",
"14325 2.0 0.0 396.0 374.0 0.938 dog VL \n",
"14326 0.0 224.0 230.0 151.0 0.310 person VL \n",
"14327 137.0 79.0 216.0 152.0 0.974 dog VL \n",
"\n",
" caption \\\n",
"0 a man with a white shirt and a black tie \n",
"1 a woman with a blonde hair and a white shirt \n",
"2 a close up of a cat's face \n",
"3 a brown cat with green eyes \n",
"4 a man wearing a hat \n",
"... ... \n",
"14323 a small dog standing on a rock near a stream \n",
"14324 a bird sitting on a rock next to a stream \n",
"14325 a small black and brown puppy is being held by... \n",
"14326 a small brown dog is being held by a person \n",
"14327 a small black and gray dog standing in the grass \n",
"\n",
" filename \n",
"0 oxford-iiit-pet/images/Abyssinian_149.jpg \n",
"1 oxford-iiit-pet/images/Abyssinian_149.jpg \n",
"2 oxford-iiit-pet/images/Abyssinian_149.jpg \n",
"3 oxford-iiit-pet/images/Abyssinian_24.jpg \n",
"4 oxford-iiit-pet/images/Abyssinian_94.jpg \n",
"... ... \n",
"14323 oxford-iiit-pet/images/yorkshire_terrier_97.jpg \n",
"14324 oxford-iiit-pet/images/yorkshire_terrier_97.jpg \n",
"14325 oxford-iiit-pet/images/yorkshire_terrier_58.jpg \n",
"14326 oxford-iiit-pet/images/yorkshire_terrier_58.jpg \n",
"14327 oxford-iiit-pet/images/yorkshire_terrier_6.jpg \n",
"\n",
"[14328 rows x 9 columns]"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
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"text/plain": [
" col_x row_y width height confidence label \\\n",
"0 459.0 97.0 29.0 34.0 0.888 human face \n",
"1 431.0 115.0 31.0 41.0 0.864 human face \n",
"2 160.0 76.0 63.0 79.0 0.377 human face \n",
"3 446.0 85.0 173.0 203.0 0.379 human face \n",
"4 -0.0 223.0 163.0 277.0 0.822 human face \n",
"... ... ... ... ... ... ... \n",
"14323 0.0 66.0 320.0 262.0 0.924 dog \n",
"14324 156.0 366.0 179.0 134.0 0.693 log \n",
"14325 2.0 0.0 396.0 374.0 0.938 dog \n",
"14326 0.0 224.0 230.0 151.0 0.310 person \n",
"14327 137.0 79.0 216.0 152.0 0.974 dog \n",
"\n",
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"1 oxford-iiit-pet/images/Abyssinian_149.jpg \n",
"2 oxford-iiit-pet/images/Abyssinian_149.jpg \n",
"3 oxford-iiit-pet/images/Abyssinian_24.jpg \n",
"4 oxford-iiit-pet/images/Abyssinian_94.jpg \n",
"... ... \n",
"14323 oxford-iiit-pet/images/yorkshire_terrier_97.jpg \n",
"14324 oxford-iiit-pet/images/yorkshire_terrier_97.jpg \n",
"14325 oxford-iiit-pet/images/yorkshire_terrier_58.jpg \n",
"14326 oxford-iiit-pet/images/yorkshire_terrier_58.jpg \n",
"14327 oxford-iiit-pet/images/yorkshire_terrier_6.jpg \n",
"\n",
"[14328 rows x 7 columns]"
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},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df = df.drop(columns=['source', 'caption'])\n",
"df"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
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],
"text/plain": [
" x_top_left y_top_left width height confidence label \\\n",
"0 459.0 97.0 29.0 34.0 0.888 human face \n",
"1 431.0 115.0 31.0 41.0 0.864 human face \n",
"2 160.0 76.0 63.0 79.0 0.377 human face \n",
"3 446.0 85.0 173.0 203.0 0.379 human face \n",
"4 -0.0 223.0 163.0 277.0 0.822 human face \n",
"... ... ... ... ... ... ... \n",
"14323 0.0 66.0 320.0 262.0 0.924 dog \n",
"14324 156.0 366.0 179.0 134.0 0.693 log \n",
"14325 2.0 0.0 396.0 374.0 0.938 dog \n",
"14326 0.0 224.0 230.0 151.0 0.310 person \n",
"14327 137.0 79.0 216.0 152.0 0.974 dog \n",
"\n",
" filename \n",
"0 oxford-iiit-pet/images/Abyssinian_149.jpg \n",
"1 oxford-iiit-pet/images/Abyssinian_149.jpg \n",
"2 oxford-iiit-pet/images/Abyssinian_149.jpg \n",
"3 oxford-iiit-pet/images/Abyssinian_24.jpg \n",
"4 oxford-iiit-pet/images/Abyssinian_94.jpg \n",
"... ... \n",
"14323 oxford-iiit-pet/images/yorkshire_terrier_97.jpg \n",
"14324 oxford-iiit-pet/images/yorkshire_terrier_97.jpg \n",
"14325 oxford-iiit-pet/images/yorkshire_terrier_58.jpg \n",
"14326 oxford-iiit-pet/images/yorkshire_terrier_58.jpg \n",
"14327 oxford-iiit-pet/images/yorkshire_terrier_6.jpg \n",
"\n",
"[14328 rows x 7 columns]"
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},
"execution_count": 4,
"metadata": {},
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"source": [
"df = df.rename(columns={'col_x': 'x_top_left', 'row_y': 'y_top_left'})\n",
"df"
]
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{
"cell_type": "code",
"execution_count": 5,
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{
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"text/plain": [
" video frame_timestamp filename \\\n",
"0 None NaN oxford-iiit-pet/images/Abyssinian_144.jpg \n",
"1 None NaN oxford-iiit-pet/images/Abyssinian_10.jpg \n",
"2 None NaN oxford-iiit-pet/images/Abyssinian_155.jpg \n",
"3 None NaN oxford-iiit-pet/images/Abyssinian_101.jpg \n",
"4 None NaN oxford-iiit-pet/images/Abyssinian_156.jpg \n",
"... ... ... ... \n",
"7304 None NaN oxford-iiit-pet/images/yorkshire_terrier_99.jpg \n",
"7305 None NaN oxford-iiit-pet/images/yorkshire_terrier_56.jpg \n",
"7306 None NaN oxford-iiit-pet/images/yorkshire_terrier_97.jpg \n",
"7307 None NaN oxford-iiit-pet/images/yorkshire_terrier_58.jpg \n",
"7308 None NaN oxford-iiit-pet/images/yorkshire_terrier_6.jpg \n",
"\n",
" caption ann_index label \\\n",
"0 a cat standing on a wooden floor next to a glass 49.0 [cat] \n",
"1 a cat laying on a bed 11.0 [cat] \n",
"2 a cat yawning on a couch 1856.0 [cat] \n",
"3 a cat with green eyes is laying on a green bla... 2.0 [cat] \n",
"4 a cat is sitting on a couch 1857.0 [cat] \n",
"... ... ... ... \n",
"7304 a small dog standing on a sidewalk 7348.0 [dog] \n",
"7305 a small dog is standing in the grass 7301.0 [dog] \n",
"7306 a small dog is standing on a rock 7346.0 [dog] \n",
"7307 a small black and brown puppy is being held by... 7303.0 [dog] \n",
"7308 a small black and gray dog standing in the grass 7316.0 [dog] \n",
"\n",
" class_id vl_label vl_class_id \n",
"0 [1] None None \n",
"1 [1] None None \n",
"2 [1] None None \n",
"3 [1] None None \n",
"4 [1] None None \n",
"... ... ... ... \n",
"7304 [2] None None \n",
"7305 [2] None None \n",
"7306 [2] None None \n",
"7307 [2] None None \n",
"7308 [2] None None \n",
"\n",
"[7309 rows x 9 columns]"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df = pd.read_parquet('image_annotations.parquet')\n",
"df"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
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