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github.com/davidsandberg/facenet
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Functions
312 in github.com/davidsandberg/facenet
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Functions
312
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Types & classes
20
Method
test_train_tripletloss_inception_resnet_v1
(self)
test/train_test.py:128
Method
test_training_classifier_inception_resnet_v1
(self)
test/train_test.py:75
Method
test_training_classifier_inception_resnet_v2
(self)
test/train_test.py:93
Method
test_training_classifier_squeezenet
(self)
test/train_test.py:110
Method
test_validate_on_lfw
(self)
test/train_test.py:175
Method
test_validate_on_lfw_frozen_graph
(self)
test/train_test.py:187
Function
train
(total_loss, global_step, optimizer, learning_rate, moving_average_decay, update_gradient_vars, log_histograms
src/facenet.py:168
Function
translate_images
(images, offset, image_size)
tmp/test_invariance_on_lfw.py:180
Function
triplet_loss
Calculate the triplet loss according to the FaceNet paper Args: anchor: the embeddings for the anchor images. positive: the embed
src/facenet.py:44
Function
wrap
(f)
tmp/deepdream.py:106
Function
wrapper
(*args, **kw)
tmp/deepdream.py:108
Function
write_arguments_to_file
(args, filename)
src/facenet.py:568
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