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vgg_uploaded-images.txt
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Command Line Arguments:
dir = uploaded_images/
arch = vgg
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: Cat_01.jpg label: cat
4 key: Black_tshirt_01.jpg label: black tshirt
MATCH:
Dog_01.jpg:
Real: dog Classifier: german shepherd, german shepherd dog, german police dog, alsatian
Dog_02.jpg:
Real: dog Classifier: german shepherd, german shepherd dog, german police dog, alsatian
NOT A MATCH:
Cat_01.jpg:
Real: cat Classifier: lynx
Black_tshirt_01.jpg:
Real: black tshirt Classifier: jersey, t-shirt, tee shirt
# Total Images 4 # Matches: 2 # NOT Matches: 2
MATCH:
Dog_01.jpg:
Real: dog Classifier: german shepherd, german shepherd dog, german police dog, alsatian
PetLabelDog: 1 ClassLabelDog: 1
Dog_02.jpg:
Real: dog Classifier: german shepherd, german shepherd dog, german police dog, alsatian
PetLabelDog: 1 ClassLabelDog: 1
NOT A MATCH:
Cat_01.jpg:
Real: cat Classifier: lynx
PetLabelDog: 0 ClassLabelDog: 0
Black_tshirt_01.jpg:
Real: black tshirt Classifier: jersey, t-shirt, tee shirt
PetLabelDog: 0 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: 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
CNN Model Architecture: IN_ARG.ARCH
*** Results Summary ***
Number of Images: 4
Number of Dog Images: 2
Number of 'Not-a' Dog Images: 2
*** Results Statistics ***
PCT_CORRECT_DOGS: 100.0
PCT_CORRECT_BREED: 100.0
PCT_CORRECT_NOTDOGS: 100.0
*** Incorrectly Classified Dogs ***
*** Incorrectly Classified Dog Breeds ***
** Total Elapsed Runtime: 0:0:8