object detection API で要素名と確率を同時に表示したい

Question

https://github.com/tensorflow/models/blob/master/research/object_detection/object_detection_tutorial.ipynb
↑これをやっています

画像は１枚目の犬が２匹写っている写真を使用しています。
画像ではdogの確率が99%と出ているのですが、下記のコードを入力してもdogの確率だけが違う確率になってしまいます。
最終的には重複しているもの確率が70%以上で一番高いものだけを表示したいです。

for cls_id in classes:
print(category_index[cls_id]['name'])
print(output_dict['detection_scores'][cls_id])

↓

dog
0.039990135
dog
0.039990135
person
0.99857557
car
0.9158048
person
0.99857557
person
0.99857557
person
0.99857557
person
0.99857557
person
0.99857557
person
0.99857557
dog
0.039990135
person
0.99857557
bench
0.050913125
person
0.99857557
couch
0.004812463
car
0.9158048
bench
0.050913125
person
0.99857557
handbag
0.014968253
person
0.99857557
cow
0.028608426
chair
0.004851172
handbag
0.014968253
car
0.9158048
dog
0.039990135
chair
0.004851172
person
0.99857557
person
0.99857557
bowl
0.006985297
person
0.99857557
person
0.99857557
handbag
0.014968253
bench
0.050913125
truck
0.198622
bench
0.050913125
person
0.99857557
chair
0.004851172
car
0.9158048
chair
0.004851172
bench
0.050913125
sheep
0.029895857
handbag
0.014968253
person
0.99857557
car
0.9158048
chair
0.004851172
car
0.9158048
chair
0.004851172
dining table
0.0036834578
bench
0.050913125
bench
0.050913125
bench
0.050913125
person
0.99857557
car
0.9158048
dining table
0.0036834578
bed
0.00454844
person
0.99857557
couch
0.004812463
handbag
0.014968253
person
0.99857557
horse
0.035150036
bench
0.050913125
person
0.99857557
dog
0.039990135
cat
0.040056206
chair
0.004851172
couch
0.004812463
dining table
0.0036834578
dining table
0.0036834578
chair
0.004851172
person
0.99857557
dog
0.039990135
person
0.99857557
couch
0.004812463
chair
0.004851172
dog
0.039990135
bench
0.050913125
chair
0.004851172
person
0.99857557
bed
0.00454844
knife
0.0073471037
bed
0.00454844
chair
0.004851172
backpack
0.023540493
bench
0.050913125
bed
0.00454844
dining table
0.0036834578
chair
0.004851172
dog
0.039990135
dining table
0.0036834578
chair
0.004851172
person
0.99857557
book
0.0023795145
person
0.99857557
bench
0.050913125
dining table
0.0036834578
chair
0.004851172
car
0.9158048
chair
0.004851172
bed
0.00454844
backpack
0.023540493