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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: Frog_01.jpg label: frog
2 key: Coffee_mug_01.jpg label: coffee mug
3 key: Dog_02.jpg label: dog
4 key: Dog_01.jpg label: dog
MATCH:
Frog_01.jpg:
Real: frog Classifier: tree frog, tree-frog
Coffee_mug_01.jpg:
Real: coffee mug Classifier: coffee mug
NOT A MATCH:
Dog_02.jpg:
Real: dog Classifier: golden retriever
Dog_01.jpg:
Real: dog Classifier: golden retriever
# Total Images 4 # Matches: 2 # NOT Matches: 2
MATCH:
Frog_01.jpg:
Real: frog Classifier: tree frog, tree-frog
PetLabelDog: 0 ClassLabelDog: 0
Coffee_mug_01.jpg:
Real: coffee mug Classifier: coffee mug
PetLabelDog: 0 ClassLabelDog: 0
NOT A MATCH:
Dog_02.jpg:
Real: dog Classifier: golden retriever
PetLabelDog: 1 ClassLabelDog: 0
Dog_01.jpg:
Real: dog Classifier: golden retriever
PetLabelDog: 1 ClassLabelDog: 0
# 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: 0.0 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: 0.0 Pct Corr NOTdog: 100.0 Pct Corr Breed: 0.0
Using the resnet CNN model architecture
Number of Images: 4
Number of Dog Images: 2
Number of "Not-a" Images: 2
0.0% Correct Dog
0% Correct Breed
100.0% Correct "Not-a" Dog
50.0% Match
Misclassified Dogs
image: Dog_02.jpg, classifier label: golden retriever
image: Dog_01.jpg, classifier label: golden retriever
Misclassified Breed's of Dog
** Total Elapsed Runtime: 0:0:0