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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: Black_bear_01.jpg label: black bear
2 key: Bucket_01.jpg label: bucket
3 key: Dog_01.jpg label: dog
4 key: Dog_02.jpg label: dog
MATCH:
Black_bear_01.jpg:
Real: black bear Classifier: american black bear, black bear, ursus americanus, euarctos americanus
Bucket_01.jpg:
Real: bucket Classifier: bucket, pail
NOT A MATCH:
Dog_01.jpg:
Real: dog Classifier: malamute, malemute, alaskan malamute
Dog_02.jpg:
Real: dog Classifier: siberian husky
# Total Images 4 # Matches: 2 # NOT Matches: 2
MATCH:
Black_bear_01.jpg:
Real: black bear Classifier: american black bear, black bear, ursus americanus, euarctos americanus
PetLabelDog: 0 ClassLabelDog: 0
Bucket_01.jpg:
Real: bucket Classifier: bucket, pail
PetLabelDog: 0 ClassLabelDog: 0
NOT A MATCH:
Dog_01.jpg:
Real: dog Classifier: malamute, malemute, alaskan malamute
PetLabelDog: 1 ClassLabelDog: 1
Dog_02.jpg:
Real: dog Classifier: siberian husky
PetLabelDog: 1 ClassLabelDog: 1
# Total Images 4 # Matches: 2 # NOT Matches: 2
** Statistics from calculates_results_stats() function:
N Images: 4 N Dog Images: 2 N NotDog Images: 2
Pct Corr dog: 100.0 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: 100.0 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: 50.0
pct_correct_dogs: 100.0
pct_correct_breed: 0.0
pct_correct_notdogs: 100.0
INCORRECT Dog Breed Assignment:
Real: dog Classifier: malamute, malemute, alaskan malamute
Real: dog Classifier: siberian husky
** Total Elapsed Runtime: 0:0:8