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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: Dog_01.jpg label: dog
2 key: Dog_02.jpg label: dog
3 key: Keyboard_01.jpg label: keyboard
4 key: Capybara_01.jpg label: capybara
MATCH:
NOT A MATCH:
Dog_01.jpg:
Real: dog Classifier: miniature pinscher
Dog_02.jpg:
Real: dog Classifier: miniature pinscher
Keyboard_01.jpg:
Real: keyboard Classifier: space bar
Capybara_01.jpg:
Real: capybara Classifier: beaver
# Total Images 4 # Matches: 0 # NOT Matches: 4
MATCH:
NOT A MATCH:
Dog_01.jpg:
Real: dog Classifier: miniature pinscher
PetLabelDog: 1 ClassLabelDog: 1
Dog_02.jpg:
Real: dog Classifier: miniature pinscher
PetLabelDog: 1 ClassLabelDog: 1
Keyboard_01.jpg:
Real: keyboard Classifier: space bar
PetLabelDog: 0 ClassLabelDog: 0
Capybara_01.jpg:
Real: capybara Classifier: beaver
PetLabelDog: 0 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: 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
CNN Model Architecture: alexnet
Number of images: 4
Number of dog images: 2
Number of matches between pet & classifier labels: 0
Number of correctly classified dog images: 2
Number of correctly classified NON-dog images: 2
Number of correctly classified dog breeds: 0
Percentage of correct matches: 0.0%
Percentage of correctly classified dogs: 100.0%
Percentage of correctly classified dog breeds: 0.0%
Percentage of correctly classified NON-dogs: 100.0%
Incorrectly classified dog images:
Incorrectly classified dog breeds:
Dog_01.jpg
Dog_02.jpg
** Total Elapsed Runtime: 0:0:0