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vgg_uploaded-images.txt
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Command Line Arguments:
dir = uploaded_images/
arch = vgg
dogfile = dognames.txt
Pet Image Label Dictionary has 4 key-value pairs.
Below are 4 of them:
1 key: Animal_01.jpg label: animal
2 key: coffee_mug.jpg label: coffee
3 key: Dog_01.jpg label: dog
4 key: Dog_02.jpg label: dog
MATCH:
NOT A MATCH:
Animal_01.jpg:
Real: animal Classifier: arabian camel, dromedary, camelus dromedarius
coffee_mug.jpg:
Real: coffee Classifier: eggnog
Dog_01.jpg:
Real: dog Classifier: dingo, warrigal, warragal, canis dingo
Dog_02.jpg:
Real: dog Classifier: dingo, warrigal, warragal, canis dingo
# Total Images 4 # Matches: 0 # NOT Matches: 4
MATCH:
NOT A MATCH:
Animal_01.jpg:
Real: animal Classifier: arabian camel, dromedary, camelus dromedarius
PetLabelDog: 0 ClassLabelDog: 0
coffee_mug.jpg:
Real: coffee Classifier: eggnog
PetLabelDog: 0 ClassLabelDog: 0
Dog_01.jpg:
Real: dog Classifier: dingo, warrigal, warragal, canis dingo
PetLabelDog: 1 ClassLabelDog: 0
Dog_02.jpg:
Real: dog Classifier: dingo, warrigal, warragal, canis dingo
PetLabelDog: 1 ClassLabelDog: 0
# Total Images 4 # Matches: 0 # NOT Matches: 4
** Statistics from calculates_results_stats() function:
N Images: 4 N Dog Images: 2 N NotDog Images: 2
Pct Corr dog: 0.0 Pct Corr NOTdog: 100.0 Pct Corr Breed: 0.0
** Check Statistics - calculated from this function as a check:
N Images: 4 N Dog Images: 2 N NotDog Images: 2
Pct Corr dog: 0.0 Pct Corr NOTdog: 100.0 Pct Corr Breed: 0.0
*** Results Summary for CNN Model Architecture VGG ***
N Images : 4
N Dog Images : 2
N Not-Dog Images : 2
pct_match: 0.00%
pct_correct_dogs: 0.00%
pct_correct_breed: 0.00%
pct_correct_notdogs: 100.00%
INCORRECT Dog/NOT Dog Assignments:
Pet label: dog, Classifier label: dingo, warrigal, warragal, canis dingo
Pet label: dog, Classifier label: dingo, warrigal, warragal, canis dingo
** Total Elapsed Runtime: 0:0:0