|
90 | 90 | {
|
91 | 91 | "data": {
|
92 | 92 | "text/plain": [
|
93 |
| - "<matplotlib.image.AxesImage at 0x206c10fec88>" |
| 93 | + "<matplotlib.image.AxesImage at 0x1c8c6201dc8>" |
94 | 94 | ]
|
95 | 95 | },
|
96 | 96 | "execution_count": 3,
|
|
133 | 133 | {
|
134 | 134 | "data": {
|
135 | 135 | "text/plain": [
|
136 |
| - "<matplotlib.image.AxesImage at 0x206c11c8b88>" |
| 136 | + "<matplotlib.image.AxesImage at 0x1c8c62d0708>" |
137 | 137 | ]
|
138 | 138 | },
|
139 | 139 | "execution_count": 4,
|
|
199 | 199 | "name": "stdout",
|
200 | 200 | "output_type": "stream",
|
201 | 201 | "text": [
|
202 |
| - "Found 18 hits\n", |
203 |
| - " TemplateName BBox Score\n", |
204 |
| - "0 small [80, 37, 41, 38] 1.000000\n", |
205 |
| - "1 small [133, 108, 41, 38] 0.860808\n", |
206 |
| - "2 small [134, 178, 41, 38] 0.816142\n", |
207 |
| - "3 small [82, 106, 41, 38] 0.800473\n", |
208 |
| - "4 small [316, 105, 41, 38] 0.747887\n", |
209 |
| - "5 small [23, 178, 41, 38] 0.742242\n", |
210 |
| - "6 small [185, 103, 41, 38] 0.685315\n", |
211 |
| - "7 small [257, 34, 41, 38] 0.657858\n", |
212 |
| - "8 small [26, 103, 41, 38] 0.617951\n", |
213 |
| - "9 small [22, 37, 41, 38] 0.606692\n", |
214 |
| - "10 small [335, 247, 41, 38] 0.585767\n", |
215 |
| - "11 small [227, 239, 41, 38] 0.578679\n", |
216 |
| - "12 small [95, 244, 41, 38] 0.576981\n", |
217 |
| - "13 small [286, 237, 41, 38] 0.543841\n", |
218 |
| - "14 small [251, 106, 41, 38] 0.525461\n", |
219 |
| - "15 small [157, 234, 41, 38] 0.524984\n", |
220 |
| - "16 small [134, 37, 41, 38] 0.511434\n", |
221 |
| - "17 small [196, 27, 41, 38] 0.506831\n" |
| 202 | + "Found 18 hits\n" |
222 | 203 | ]
|
| 204 | + }, |
| 205 | + { |
| 206 | + "data": { |
| 207 | + "text/html": [ |
| 208 | + "<div>\n", |
| 209 | + "<style scoped>\n", |
| 210 | + " .dataframe tbody tr th:only-of-type {\n", |
| 211 | + " vertical-align: middle;\n", |
| 212 | + " }\n", |
| 213 | + "\n", |
| 214 | + " .dataframe tbody tr th {\n", |
| 215 | + " vertical-align: top;\n", |
| 216 | + " }\n", |
| 217 | + "\n", |
| 218 | + " .dataframe thead th {\n", |
| 219 | + " text-align: right;\n", |
| 220 | + " }\n", |
| 221 | + "</style>\n", |
| 222 | + "<table border=\"1\" class=\"dataframe\">\n", |
| 223 | + " <thead>\n", |
| 224 | + " <tr style=\"text-align: right;\">\n", |
| 225 | + " <th></th>\n", |
| 226 | + " <th>TemplateName</th>\n", |
| 227 | + " <th>BBox</th>\n", |
| 228 | + " <th>Score</th>\n", |
| 229 | + " </tr>\n", |
| 230 | + " </thead>\n", |
| 231 | + " <tbody>\n", |
| 232 | + " <tr>\n", |
| 233 | + " <th>0</th>\n", |
| 234 | + " <td>small</td>\n", |
| 235 | + " <td>[80, 37, 41, 38]</td>\n", |
| 236 | + " <td>1.000000</td>\n", |
| 237 | + " </tr>\n", |
| 238 | + " <tr>\n", |
| 239 | + " <th>1</th>\n", |
| 240 | + " <td>small</td>\n", |
| 241 | + " <td>[133, 108, 41, 38]</td>\n", |
| 242 | + " <td>0.860808</td>\n", |
| 243 | + " </tr>\n", |
| 244 | + " <tr>\n", |
| 245 | + " <th>2</th>\n", |
| 246 | + " <td>small</td>\n", |
| 247 | + " <td>[134, 178, 41, 38]</td>\n", |
| 248 | + " <td>0.816142</td>\n", |
| 249 | + " </tr>\n", |
| 250 | + " <tr>\n", |
| 251 | + " <th>3</th>\n", |
| 252 | + " <td>small</td>\n", |
| 253 | + " <td>[82, 106, 41, 38]</td>\n", |
| 254 | + " <td>0.800473</td>\n", |
| 255 | + " </tr>\n", |
| 256 | + " <tr>\n", |
| 257 | + " <th>4</th>\n", |
| 258 | + " <td>small</td>\n", |
| 259 | + " <td>[316, 105, 41, 38]</td>\n", |
| 260 | + " <td>0.747887</td>\n", |
| 261 | + " </tr>\n", |
| 262 | + " <tr>\n", |
| 263 | + " <th>5</th>\n", |
| 264 | + " <td>small</td>\n", |
| 265 | + " <td>[23, 178, 41, 38]</td>\n", |
| 266 | + " <td>0.742242</td>\n", |
| 267 | + " </tr>\n", |
| 268 | + " <tr>\n", |
| 269 | + " <th>6</th>\n", |
| 270 | + " <td>small</td>\n", |
| 271 | + " <td>[185, 103, 41, 38]</td>\n", |
| 272 | + " <td>0.685315</td>\n", |
| 273 | + " </tr>\n", |
| 274 | + " <tr>\n", |
| 275 | + " <th>7</th>\n", |
| 276 | + " <td>small</td>\n", |
| 277 | + " <td>[257, 34, 41, 38]</td>\n", |
| 278 | + " <td>0.657858</td>\n", |
| 279 | + " </tr>\n", |
| 280 | + " <tr>\n", |
| 281 | + " <th>8</th>\n", |
| 282 | + " <td>small</td>\n", |
| 283 | + " <td>[26, 103, 41, 38]</td>\n", |
| 284 | + " <td>0.617951</td>\n", |
| 285 | + " </tr>\n", |
| 286 | + " <tr>\n", |
| 287 | + " <th>9</th>\n", |
| 288 | + " <td>small</td>\n", |
| 289 | + " <td>[22, 37, 41, 38]</td>\n", |
| 290 | + " <td>0.606692</td>\n", |
| 291 | + " </tr>\n", |
| 292 | + " <tr>\n", |
| 293 | + " <th>10</th>\n", |
| 294 | + " <td>small</td>\n", |
| 295 | + " <td>[335, 247, 41, 38]</td>\n", |
| 296 | + " <td>0.585767</td>\n", |
| 297 | + " </tr>\n", |
| 298 | + " <tr>\n", |
| 299 | + " <th>11</th>\n", |
| 300 | + " <td>small</td>\n", |
| 301 | + " <td>[227, 239, 41, 38]</td>\n", |
| 302 | + " <td>0.578679</td>\n", |
| 303 | + " </tr>\n", |
| 304 | + " <tr>\n", |
| 305 | + " <th>12</th>\n", |
| 306 | + " <td>small</td>\n", |
| 307 | + " <td>[95, 244, 41, 38]</td>\n", |
| 308 | + " <td>0.576981</td>\n", |
| 309 | + " </tr>\n", |
| 310 | + " <tr>\n", |
| 311 | + " <th>13</th>\n", |
| 312 | + " <td>small</td>\n", |
| 313 | + " <td>[286, 237, 41, 38]</td>\n", |
| 314 | + " <td>0.543841</td>\n", |
| 315 | + " </tr>\n", |
| 316 | + " <tr>\n", |
| 317 | + " <th>14</th>\n", |
| 318 | + " <td>small</td>\n", |
| 319 | + " <td>[251, 106, 41, 38]</td>\n", |
| 320 | + " <td>0.525461</td>\n", |
| 321 | + " </tr>\n", |
| 322 | + " <tr>\n", |
| 323 | + " <th>15</th>\n", |
| 324 | + " <td>small</td>\n", |
| 325 | + " <td>[157, 234, 41, 38]</td>\n", |
| 326 | + " <td>0.524984</td>\n", |
| 327 | + " </tr>\n", |
| 328 | + " <tr>\n", |
| 329 | + " <th>16</th>\n", |
| 330 | + " <td>small</td>\n", |
| 331 | + " <td>[134, 37, 41, 38]</td>\n", |
| 332 | + " <td>0.511434</td>\n", |
| 333 | + " </tr>\n", |
| 334 | + " <tr>\n", |
| 335 | + " <th>17</th>\n", |
| 336 | + " <td>small</td>\n", |
| 337 | + " <td>[196, 27, 41, 38]</td>\n", |
| 338 | + " <td>0.506831</td>\n", |
| 339 | + " </tr>\n", |
| 340 | + " </tbody>\n", |
| 341 | + "</table>\n", |
| 342 | + "</div>" |
| 343 | + ], |
| 344 | + "text/plain": [ |
| 345 | + " TemplateName BBox Score\n", |
| 346 | + "0 small [80, 37, 41, 38] 1.000000\n", |
| 347 | + "1 small [133, 108, 41, 38] 0.860808\n", |
| 348 | + "2 small [134, 178, 41, 38] 0.816142\n", |
| 349 | + "3 small [82, 106, 41, 38] 0.800473\n", |
| 350 | + "4 small [316, 105, 41, 38] 0.747887\n", |
| 351 | + "5 small [23, 178, 41, 38] 0.742242\n", |
| 352 | + "6 small [185, 103, 41, 38] 0.685315\n", |
| 353 | + "7 small [257, 34, 41, 38] 0.657858\n", |
| 354 | + "8 small [26, 103, 41, 38] 0.617951\n", |
| 355 | + "9 small [22, 37, 41, 38] 0.606692\n", |
| 356 | + "10 small [335, 247, 41, 38] 0.585767\n", |
| 357 | + "11 small [227, 239, 41, 38] 0.578679\n", |
| 358 | + "12 small [95, 244, 41, 38] 0.576981\n", |
| 359 | + "13 small [286, 237, 41, 38] 0.543841\n", |
| 360 | + "14 small [251, 106, 41, 38] 0.525461\n", |
| 361 | + "15 small [157, 234, 41, 38] 0.524984\n", |
| 362 | + "16 small [134, 37, 41, 38] 0.511434\n", |
| 363 | + "17 small [196, 27, 41, 38] 0.506831" |
| 364 | + ] |
| 365 | + }, |
| 366 | + "execution_count": 6, |
| 367 | + "metadata": {}, |
| 368 | + "output_type": "execute_result" |
223 | 369 | }
|
224 | 370 | ],
|
225 | 371 | "source": [
|
226 | 372 | "print(\"Found {} hits\".format( len(Hits.index) ) )\n",
|
227 |
| - "print(Hits)" |
| 373 | + "Hits" |
228 | 374 | ]
|
229 | 375 | },
|
230 | 376 | {
|
|
249 | 395 | },
|
250 | 396 | {
|
251 | 397 | "cell_type": "code",
|
252 |
| - "execution_count": 7, |
| 398 | + "execution_count": 8, |
253 | 399 | "metadata": {},
|
254 | 400 | "outputs": [
|
255 | 401 | {
|
256 | 402 | "data": {
|
257 | 403 | "text/plain": [
|
258 |
| - "<matplotlib.image.AxesImage at 0x206c12717c8>" |
| 404 | + "<matplotlib.image.AxesImage at 0x1d438c62608>" |
259 | 405 | ]
|
260 | 406 | },
|
261 |
| - "execution_count": 7, |
| 407 | + "execution_count": 8, |
262 | 408 | "metadata": {},
|
263 | 409 | "output_type": "execute_result"
|
264 | 410 | },
|
|
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