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Copy pathalexnet_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: Water_bottle_01.jpg label: water bottle
2 key: Turtle_01.jpg label: turtle
3 key: Dog_02.jpg label: dog
4 key: Dog_01.jpg label: dog
MATCH:
Water_bottle_01.jpg:
Real: water bottle Classifier: water bottle
Turtle_01.jpg:
Real: turtle Classifier: mud turtle
Dog_02.jpg:
Real: dog Classifier: eskimo dog, husky
Dog_01.jpg:
Real: dog Classifier: eskimo dog, husky
NOT A MATCH:
# Total Images 4 # Matches: 4 # NOT Matches: 0
MATCH:
Water_bottle_01.jpg:
Real: water bottle Classifier: water bottle
PetLabelDog: 0 ClassLabelDog: 0
Turtle_01.jpg:
Real: turtle Classifier: mud turtle
PetLabelDog: 0 ClassLabelDog: 0
Dog_02.jpg:
Real: dog Classifier: eskimo dog, husky
PetLabelDog: 1 ClassLabelDog: 1
Dog_01.jpg:
Real: dog Classifier: eskimo dog, husky
PetLabelDog: 1 ClassLabelDog: 1
NOT A MATCH:
# Total Images 4 # Matches: 4 # NOT Matches: 0
** 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: 100.0
** 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: 100.0
Here is how CNN model ALEXNET preformed:
n_images: 4
n_dogs_img: 2
n_notdogs_img: 2
n_match: 4
n_correct_dogs: 2
n_correct_notdogs: 2
n_correct_breed: 2
pct_match: 100.0
pct_correct_dogs: 100.0
pct_correct_breed: 100.0
pct_correct_notdogs: 100.0
Incorrect Dog or Not Dog Classifications:
None!
Incorrect Dog Breed Classifications:
None!
** Total Elapsed Runtime: 0:0:0