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resnet_uploaded-images.txt
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resnet_uploaded-images.txt
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Command Line Arguments:
dir = uploaded_images/
arch = resnet
dogfile = dognames.txt
Pet Image Label Dictionary has 4 key-value pairs.
Below are 4 of them:
1 key: Dog_02.jpg label: dog
2 key: Coffee_mug_01.jpg label: coffee mug
3 key: Rabbit_002.jpg label: rabbit
4 key: Dog_01.jpg label: dog
MATCH:
Coffee_mug_01.jpg:
Real: coffee mug Classifier: coffee mug
Rabbit_002.jpg:
Real: rabbit Classifier: wood rabbit, cottontail, cottontail rabbit, rabbit
NOT A MATCH:
Dog_02.jpg:
Real: dog Classifier: gibbon, hylobates lar
Dog_01.jpg:
Real: dog Classifier: golden retriever
# Total Images 4 # Matches: 2 # NOT Matches: 2
MATCH:
Coffee_mug_01.jpg:
Real: coffee mug Classifier: coffee mug
PetLabelDog: 0 ClassLabelDog: 0
Rabbit_002.jpg:
Real: rabbit Classifier: wood rabbit, cottontail, cottontail rabbit, rabbit
PetLabelDog: 0 ClassLabelDog: 0
NOT A MATCH:
Dog_02.jpg:
Real: dog Classifier: gibbon, hylobates lar
PetLabelDog: 1 ClassLabelDog: 0
Dog_01.jpg:
Real: dog Classifier: golden retriever
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: 50.0 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: 50.0 Pct Corr NOTdog: 100.0 Pct Corr Breed: 0.0
*** Results Summary for CNN Model Architecture RESNET ***
N Images : 4
N Dog Images : 2
N Not-Dog Images : 2
Printing summary statictics(percentage) on model run
pct_match 50.0
pct_correct_dogs 50.0
pct_correct_breed 0.0
pct_correct_notdogs 100.0
INCORRECT Dog/NOT Dog Assignments:
Pet Label = dog Classifier Label= gibbon, hylobates lar
INCORRECT Dog Breed Assignment:
Real: dog Classifier: golden retriever
** Total Elapsed Runtime: 0:0:0