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pet_images
pet_images
 
 
.gitignore
.gitignore
 
 
README.md
README.md
 
 
alexnet.txt
alexnet.txt
 
 
alternative-to-classify_images.py
alternative-to-classify_images.py
 
 
check_images.py
check_images.py
 
 
classifier.py
classifier.py
 
 
command_line_arguments.py
command_line_arguments.py
 
 
create_pet_image_labels.py
create_pet_image_labels.py
 
 
dognames.txt
dognames.txt
 
 
imagenet1000_clsid_to_human.txt
imagenet1000_clsid_to_human.txt
 
 
print_functions_for_lab_checks.py
print_functions_for_lab_checks.py
 
 
requirements.txt
requirements.txt
 
 
resnet.txt
resnet.txt
 
 
run_models_batch.bat
run_models_batch.bat
 
 
run_models_batch.sh
run_models_batch.sh
 
 
test_classifier.py
test_classifier.py
 
 
vgg.txt
vgg.txt
 
 

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doge-classifier

A doge-dog image classifier. Employs pre-trained pytorch models such as vgg, alexnet and resnet, and the ImageNet hierarchichal image database for labelling. This is based on the coursework for the RMIT & Udacity partnered NanoDegree, Artificial Intelligence Programming in Python 2019.

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