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alexnet_uploaded-images.txt
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alexnet_uploaded-images.txt
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Command Line Arguments:
dir = uploaded_images/
arch = alexnet
dogfile = dognames.txt
Pet Image Label Dictionary has 4 key-value pairs.
Below are 4 of them:
1 key: cat_01.jpg label: cat
2 key: Pen_01.jpg label: pen
3 key: Dog_02.jpg label: dog
4 key: Dog_01.jpg label: dog
MATCH:
NOT A MATCH:
cat_01.jpg:
Real: cat Classifier: african hunting dog, hyena dog, cape hunting dog, lycaon pictus
Pen_01.jpg:
Real: pen Classifier: hammer
Dog_02.jpg:
Real: dog Classifier: beagle
Dog_01.jpg:
Real: dog Classifier: beagle
# Total Images 4 # Matches: 0 # NOT Matches: 4
MATCH:
NOT A MATCH:
cat_01.jpg:
Real: cat Classifier: african hunting dog, hyena dog, cape hunting dog, lycaon pictus
PetLabelDog: 0 ClassLabelDog: 0
Pen_01.jpg:
Real: pen Classifier: hammer
PetLabelDog: 0 ClassLabelDog: 0
Dog_02.jpg:
Real: dog Classifier: beagle
PetLabelDog: 1 ClassLabelDog: 1
Dog_01.jpg:
Real: dog Classifier: beagle
PetLabelDog: 1 ClassLabelDog: 1
# 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: 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 ALEXNET ***
MODEL USED : alexnet
NUMBER OF IMAGES : 4
NUMBER OF DOG IMAGES : 2
NUMBER OF NOT-DOG IMAGES : 2
pct_match: 0.0
pct_correct_dogs: 100.0
pct_correct_breed: 0.0
pct_correct_notdogs: 100.0
INCORRECT BREEDS:
PET IMAGE LABEL : dog
CLASSIFIER LABEL : beagle
INCORRECT BREEDS:
PET IMAGE LABEL : dog
CLASSIFIER LABEL : beagle
** Total Elapsed Runtime: 0:0:0