|
48 | 48 | { |
49 | 49 | "data": { |
50 | 50 | "text/plain": [ |
51 | | - "<matplotlib.image.AxesImage at 0x1b29973b748>" |
| 51 | + "<matplotlib.image.AxesImage at 0x17fdca8d668>" |
52 | 52 | ] |
53 | 53 | }, |
54 | 54 | "execution_count": 2, |
|
90 | 90 | { |
91 | 91 | "data": { |
92 | 92 | "text/plain": [ |
93 | | - "<matplotlib.image.AxesImage at 0x1b29a7cdf28>" |
| 93 | + "<matplotlib.image.AxesImage at 0x17fddb1bc50>" |
94 | 94 | ] |
95 | 95 | }, |
96 | 96 | "execution_count": 3, |
|
213 | 213 | { |
214 | 214 | "data": { |
215 | 215 | "text/plain": [ |
216 | | - "<matplotlib.image.AxesImage at 0x1b29a841dd8>" |
| 216 | + "<matplotlib.image.AxesImage at 0x17fddbbe550>" |
217 | 217 | ] |
218 | 218 | }, |
219 | 219 | "execution_count": 6, |
|
234 | 234 | } |
235 | 235 | ], |
236 | 236 | "source": [ |
237 | | - "Overlay = drawBoxes(image, listHit)\n", |
| 237 | + "Overlay = drawBoxes(image, listHit, showLabel=True)\n", |
238 | 238 | "plt.imshow(Overlay)" |
239 | 239 | ] |
240 | 240 | }, |
|
254 | 254 | { |
255 | 255 | "data": { |
256 | 256 | "text/plain": [ |
257 | | - "<matplotlib.image.AxesImage at 0x1b29a8ac470>" |
| 257 | + "<matplotlib.image.AxesImage at 0x17fddc25940>" |
258 | 258 | ] |
259 | 259 | }, |
260 | 260 | "execution_count": 7, |
|
276 | 276 | ], |
277 | 277 | "source": [ |
278 | 278 | "listHit = matchTemplates(listTemplate, image, score_threshold=0.4, method=cv2.TM_CCOEFF_NORMED, maxOverlap=0)\n", |
279 | | - "Overlay = drawBoxes(image, listHit)\n", |
| 279 | + "Overlay = drawBoxes(image, listHit, showLabel=True)\n", |
280 | 280 | "plt.imshow(Overlay)" |
281 | 281 | ] |
282 | 282 | }, |
|
292 | 292 | }, |
293 | 293 | { |
294 | 294 | "cell_type": "code", |
295 | | - "execution_count": 10, |
| 295 | + "execution_count": 8, |
296 | 296 | "metadata": {}, |
297 | 297 | "outputs": [ |
298 | 298 | { |
299 | 299 | "data": { |
300 | 300 | "text/plain": [ |
301 | | - "<matplotlib.image.AxesImage at 0x1b29aa38470>" |
| 301 | + "<matplotlib.image.AxesImage at 0x17fddcc4b38>" |
302 | 302 | ] |
303 | 303 | }, |
304 | | - "execution_count": 10, |
| 304 | + "execution_count": 8, |
305 | 305 | "metadata": {}, |
306 | 306 | "output_type": "execute_result" |
307 | 307 | }, |
|
348 | 348 | }, |
349 | 349 | { |
350 | 350 | "cell_type": "code", |
351 | | - "execution_count": 11, |
| 351 | + "execution_count": 9, |
352 | 352 | "metadata": {}, |
353 | 353 | "outputs": [ |
354 | 354 | { |
355 | 355 | "data": { |
356 | 356 | "text/plain": [ |
357 | | - "<matplotlib.image.AxesImage at 0x1b29a921c88>" |
| 357 | + "<matplotlib.image.AxesImage at 0x17fddc02400>" |
358 | 358 | ] |
359 | 359 | }, |
360 | | - "execution_count": 11, |
| 360 | + "execution_count": 9, |
361 | 361 | "metadata": {}, |
362 | 362 | "output_type": "execute_result" |
363 | 363 | }, |
|
377 | 377 | "source": [ |
378 | 378 | "listTemplate = [(\"small\", smallCoin), (\"large\", largeCoin)]\n", |
379 | 379 | "listHit = matchTemplates(listTemplate, image, score_threshold=0.4, method=cv2.TM_CCOEFF_NORMED, maxOverlap=0)\n", |
380 | | - "Overlay = drawBoxes(image, listHit)\n", |
| 380 | + "Overlay = drawBoxes(image, listHit, showLabel=True)\n", |
381 | 381 | "plt.imshow(Overlay)" |
382 | 382 | ] |
383 | 383 | }, |
|
0 commit comments