identify_dog_breed

The project helps to identify dogs and their breed. Three classifiers are used (AlexNet, ResNet, vgg).

How to use

There are two scripts.
The first script is for classifying "pet_images" dir.

sh run_models_batch.sh

The second script is for classifying "pet_images" dir.

sh run_models_batch_uploaded.sh

Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
pet_images		pet_images
uploaded_images		uploaded_images
README.md		README.md
adjust_results4_isadog.py		adjust_results4_isadog.py
alexnet_pet-images.txt		alexnet_pet-images.txt
alexnet_uploaded-images.txt		alexnet_uploaded-images.txt
calculates_results_stats.py		calculates_results_stats.py
check_images.py		check_images.py
check_images.txt		check_images.txt
classifier.py		classifier.py
classify_images.py		classify_images.py
dognames.txt		dognames.txt
get_input_args.py		get_input_args.py
get_pet_labels.py		get_pet_labels.py
imagenet1000_clsid_to_human.txt		imagenet1000_clsid_to_human.txt
print_functions_for_lab_checks.py		print_functions_for_lab_checks.py
print_results.py		print_results.py
resnet_pet-images.txt		resnet_pet-images.txt
resnet_uploaded-images.txt		resnet_uploaded-images.txt
run_models_batch.sh		run_models_batch.sh
run_models_batch_uploaded.sh		run_models_batch_uploaded.sh
test_classifier.py		test_classifier.py
vgg_pet-images.txt		vgg_pet-images.txt
vgg_uploaded-images.txt		vgg_uploaded-images.txt