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vgg_uploaded-images.txt
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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: Malinois_01.jpg label: malinois
2 key: Lama_01.jpg label: lama
3 key: Coffee_mug_01.jpg label: coffee mug
4 key: Malinois_02.jpg label: malinois
MATCH:
Malinois_01.jpg:
Real: malinois Classifier: malinois
Lama_01.jpg:
Real: lama Classifier: llama
NOT A MATCH:
Coffee_mug_01.jpg:
Real: coffee mug Classifier: boston bull, boston terrier
Malinois_02.jpg:
Real: malinois Classifier: german shepherd, german shepherd dog, german police dog, alsatian
# Total Images 4 # Matches: 2 # NOT Matches: 2
MATCH:
Malinois_01.jpg:
Real: malinois Classifier: malinois
PetLabelDog: 1 ClassLabelDog: 1
Lama_01.jpg:
Real: lama Classifier: llama
PetLabelDog: 0 ClassLabelDog: 0
NOT A MATCH:
Coffee_mug_01.jpg:
Real: coffee mug Classifier: boston bull, boston terrier
PetLabelDog: 0 ClassLabelDog: 1
Malinois_02.jpg:
Real: malinois Classifier: german shepherd, german shepherd dog, german police dog, alsatian
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: 50.0 Pct Corr Breed: 50.0
** 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: 50.0 Pct Corr Breed: 50.0
*** Results Summary for CNN Model Architecture VGG ***
N Images : 4
N Dog Images : 2
N NotDog Images : 2
Pct Match : 50.0
Pct Correct Dogs : 100.0
Pct Correct Breed : 50.0
Pct Correct Notdogs : 50.0
INCORRECT Dog/NOT Dog Assignments:
Coffee_mug_01.jpg
INCORRECT Dog Breed Assignment:
Real: malinois Classifier: german shepherd, german shepherd dog, german police dog, alsatian
** Total Elapsed Runtime: 0:0:3