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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: Moose_01.jpg label: moose
2 key: Bucket_01.jpg label: bucket
3 key: Dog_02.jpg label: dog
4 key: Dog_01.jpg label: dog
MATCH:
Bucket_01.jpg:
Real: bucket Classifier: bucket, pail
NOT A MATCH:
Moose_01.jpg:
Real: moose Classifier: water buffalo, water ox, asiatic buffalo, bubalus bubalis
Dog_02.jpg:
Real: dog Classifier: indri, indris, indri indri, indri brevicaudatus
Dog_01.jpg:
Real: dog Classifier: entlebucher
# Total Images 4 # Matches: 1 # NOT Matches: 3
MATCH:
Bucket_01.jpg:
Real: bucket Classifier: bucket, pail
PetLabelDog: 0 ClassLabelDog: 0
NOT A MATCH:
Moose_01.jpg:
Real: moose Classifier: water buffalo, water ox, asiatic buffalo, bubalus bubalis
PetLabelDog: 0 ClassLabelDog: 0
Dog_02.jpg:
Real: dog Classifier: indri, indris, indri indri, indri brevicaudatus
PetLabelDog: 1 ClassLabelDog: 0
Dog_01.jpg:
Real: dog Classifier: entlebucher
PetLabelDog: 1 ClassLabelDog: 1
# Total Images 4 # Matches: 1 # NOT Matches: 3
** 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
********MODEL: alexnet********
*************************
Number of Images: 4
Number of Dog Images:2
Number of "Not-a" Dog: 2 Images
pct_match : 25.0
pct_correct_dogs : 50.0
pct_correct_breed : 0.0
pct_correct_notdogs : 100.0
*************************
*******Misclassified Dogs*********
Dog_02.jpg: indri, indris, indri indri, indri brevicaudatus
*******Misclassified Breed's of Dog*********
Dog_01.jpg: entlebucher
** Total Elapsed Runtime: 0:0:0