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Object Detection Jupyter Notebook not working  #2812

@brunovollmer

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@brunovollmer

I tried to run the Jupyter Notebook example for the object detection of tensorflow but there are no detections. I printed the scores and it's seems to work but the results are very bad. Does anyone have an idea what I might have done wrong.

print(scores[0]):

[ 0.03587309 0.02224856 0.01864638 0.01096715 0.0100315
0.0065446
0.00633551 0.00534311 0.00495995 0.00410238 0.00362363 0.00339175
0.00308251 0.0030337 0.00293387 0.00277085 0.00269581 0.00266825
0.00263924 0.00263331 0.00258721 0.00240822 0.00225823 0.00186966
0.00184308 0.00180467 0.00177474 0.00173643 0.0017281 0.00171935
0.00171891 0.00170284 0.00163754 0.00162967 0.00160267 0.00156545
0.00153614 0.00140936 0.00132406 0.00131524 0.00131041 0.00129431
0.00125819 0.0012553 0.00122365 0.00119179 0.00115673 0.00115186
0.00112368 0.00107096 0.00105803 0.00104337 0.00102719 0.00102337
0.00100349 0.00097767 0.0009685 0.00092741 0.00088506 0.00087696
0.0008734 0.00084825 0.00084135 0.00083512 0.00083396 0.00082068
0.00080583 0.00078979 0.00078059 0.00077475 0.00075449 0.00074426
0.00074421 0.00070195 0.00068741 0.00068138 0.00067261 0.00067125
0.00067032 0.00066041 0.0006473 0.00064205 0.00061964 0.00061793
0.00060834 0.00060468 0.00059547 0.00059478 0.00059461 0.00059436
0.00059426 0.00059411 0.00059406 0.00059392 0.00059365 0.00059351
0.00059191 0.00058798 0.00058682 0.00058148]

[ 0.01044157 0.00982138 0.00942336 0.00846517 0.00613665 0.00398568
0.00357755 0.00300539 0.00255862 0.00236576 0.00232631 0.00220291
0.00185227 0.00163544 0.00159791 0.00145071 0.0014366 0.0014137
0.00122685 0.00118978 0.00108457 0.00104252 0.00099215 0.00096401
0.0008708 0.00084774 0.00080484 0.00078507 0.00078379 0.00076875
0.00072774 0.00071732 0.00071343 0.00070812 0.00069253 0.0006762
0.00067269 0.00059905 0.00059367 0.000588 0.00056114 0.0005504
0.00051472 0.00051055 0.00050973 0.00048484 0.00047297 0.00046204
0.00044787 0.00043259 0.00042987 0.00042673 0.00041978 0.00040494
0.00040087 0.00039576 0.00039059 0.00037274 0.00036828 0.00036417
0.0003612 0.00034645 0.00034479 0.00034078 0.00033771 0.00033605
0.0003333 0.0003304 0.0003294 0.00032325 0.00031787 0.00031773
0.00031748 0.00031741 0.00031732 0.00031729 0.00031724 0.00031722
0.00031717 0.00031708 0.00031702 0.00031579 0.00030416 0.00030222
0.00029739 0.00029726 0.00028289 0.00026527 0.00026325 0.00024584
0.00024221 0.00024156 0.0002391 0.00023335 0.00021617 0.0002001
0.00019127 0.00018342 0.00017271 0.00015507]

I'm running the example with tensorflow 1.4, python 3.5 and I tested the installation as suggested.

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