Functions — github.com/davidsandberg/facenet

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Functions312 in github.com/davidsandberg/facenet

⨍ Functions 312◇ Types & classes 20

↓ 1 callersFunctionget_model_filenames

(model_dir)

src/facenet.py:384

↓ 1 callersFunctionget_onedir

(paths)

contributed/clustering.py:183

↓ 1 callersMethodget_unique_name

Returns an index-suffixed unique name for the given prefix. This is used for auto-generating layer names based on the type-prefix.

src/align/detect_face.py:116

↓ 1 callersFunctionget_variables_to_train

()

src/generative/train_vae.py:219

↓ 1 callersMethodidentify

(self, image)

contributed/face.py:74

↓ 1 callersMethodidentify

(self, face)

contributed/face.py:91

↓ 1 callersFunctioninception_resnet_v1

Creates the Inception Resnet V1 model. Args: inputs: a 4-D tensor of size [batch_size, height, width, 3]. num_classes: number of predi

src/models/inception_resnet_v1.py:152

↓ 1 callersFunctioninception_resnet_v2

Creates the Inception Resnet V2 model. Args: inputs: a 4-D tensor of size [batch_size, height, width, 3]. num_classes: number of predi

src/models/inception_resnet_v2.py:112

↓ 1 callersFunctioninference_conv_test

(images)

tmp/seed_test.py:111

↓ 1 callersFunctionintermediateCalc

(x, y)

tmp/visualize_vgg_model.py:47

↓ 1 callersFunctionkl_divergence_loss

(mean, log_variance)

src/generative/train_vae.py:234

↓ 1 callersFunctionlap_merge

Merge Laplacian pyramid

tmp/deepdream.py:169

↓ 1 callersFunctionlap_split

Split the image into lo and hi frequency components

tmp/deepdream.py:152

↓ 1 callersFunctionlap_split_n

Build Laplacian pyramid with n splits

tmp/deepdream.py:160

↓ 1 callersFunctionload_and_align_data

(image_paths, image_size, margin, gpu_memory_fraction)

src/compare.py:79

↓ 1 callersFunctionload_and_align_data

(image_paths, image_size, margin, gpu_memory_fraction)

contributed/predict.py:77

↓ 1 callersFunctionload_and_align_data

(image_paths, image_size, margin, gpu_memory_fraction)

contributed/export_embeddings.py:131

↓ 1 callersFunctionload_images_from_folder

(folder)

contributed/cluster.py:158

↓ 1 callersFunctionload_model

(model_dir, meta_file, ckpt_file)

contributed/clustering.py:24

↓ 1 callersFunctionlppool

(inpOp, pnorm, kH, kW, dH, dW, padding, name)

tmp/network.py:78

↓ 1 callersFunctionmain

()

tmp/test_align.py:7

↓ 1 callersFunctionmain

(args)

tmp/cacd2000_split_identities.py:6

↓ 1 callersFunctionmain

(args)

tmp/align_dataset.py:37

↓ 1 callersFunctionmain

()

tmp/deepdream.py:12

↓ 1 callersFunctionmain

(args)

tmp/test_invariance_on_lfw.py:41

↓ 1 callersFunctionmain

(args)

tmp/rename_casia_directories.py:6

↓ 1 callersFunctionmain

(args)

tmp/dataset_read_speed.py:7

↓ 1 callersFunctionmain

(args)

tmp/visualize.py:38

↓ 1 callersFunctionmain

()

tmp/visualize_vggface.py:6

↓ 1 callersFunctionmain

(args)

tmp/download_vgg_face_dataset.py:39

↓ 1 callersFunctionmain

(args)

tmp/funnel_dataset.py:27

↓ 1 callersFunctionmain

(args)

src/classifier.py:39

↓ 1 callersFunctionmain

(args)

src/validate_on_lfw.py:44

↓ 1 callersFunctionmain

(args)

src/compare.py:39

↓ 1 callersFunctionmain

(args)

src/train_softmax.py:47

↓ 1 callersFunctionmain

(args)

src/freeze_graph.py:38

↓ 1 callersFunctionmain

(args)

src/decode_msceleb_dataset.py:48

↓ 1 callersFunctionmain

(args)

src/train_tripletloss.py:46

↓ 1 callersFunctionmain

(args)

src/calculate_filtering_metrics.py:41

↓ 1 callersFunctionmain

(args)

src/align/align_dataset_mtcnn.py:39

↓ 1 callersFunctionmain

(args)

src/generative/modify_attribute.py:42

↓ 1 callersFunctionmain

(args)

src/generative/calculate_attribute_vectors.py:42

↓ 1 callersFunctionmain

(args)

src/generative/train_vae.py:43

↓ 1 callersFunctionmain

(args)

contributed/predict.py:45

↓ 1 callersFunctionmain

(args)

contributed/batch_represent.py:81

↓ 1 callersFunctionmain

(args)

contributed/cluster.py:40

↓ 1 callersFunctionmain

Main Given a list of images, save out facial encoding data files and copy images into folders of face clusters.

contributed/clustering.py:197

↓ 1 callersFunctionmain

(args)

contributed/real_time_face_recognition.py:53

↓ 1 callersFunctionmain

(args)

contributed/export_embeddings.py:66

↓ 1 callersFunctionmpool

(inpOp, kH, kW, dH, dW, padding, name)

tmp/network.py:98

↓ 1 callersFunctionparse_args

Parse input arguments.

contributed/clustering.py:253

↓ 1 callersFunctionparse_arguments

(argv)

tmp/cacd2000_split_identities.py:24

↓ 1 callersFunctionparse_arguments

(argv)

tmp/align_dataset.py:117

↓ 1 callersFunctionparse_arguments

(argv)

tmp/test_invariance_on_lfw.py:187

↓ 1 callersFunctionparse_arguments

(argv)

tmp/rename_casia_directories.py:29

↓ 1 callersFunctionparse_arguments

(argv)

tmp/dataset_read_speed.py:23

↓ 1 callersFunctionparse_arguments

(argv)

tmp/visualize.py:106

↓ 1 callersFunctionparse_arguments

(argv)

tmp/download_vgg_face_dataset.py:94

↓ 1 callersFunctionparse_arguments

(argv)

tmp/funnel_dataset.py:83

↓ 1 callersFunctionparse_arguments

(argv)

src/classifier.py:138

↓ 1 callersFunctionparse_arguments

(argv)

src/validate_on_lfw.py:138

↓ 1 callersFunctionparse_arguments

(argv)

src/compare.py:115

↓ 1 callersFunctionparse_arguments

(argv)

src/train_softmax.py:480

↓ 1 callersFunctionparse_arguments

(argv)

src/freeze_graph.py:93

↓ 1 callersFunctionparse_arguments

(argv)

src/train_tripletloss.py:418

↓ 1 callersFunctionparse_arguments

(argv)

src/calculate_filtering_metrics.py:112

↓ 1 callersFunctionparse_arguments

(argv)

src/align/align_dataset_mtcnn.py:141

↓ 1 callersFunctionparse_arguments

(argv)

src/generative/modify_attribute.py:122

↓ 1 callersFunctionparse_arguments

(argv)

src/generative/calculate_attribute_vectors.py:172

↓ 1 callersFunctionparse_arguments

(argv)

src/generative/train_vae.py:238

↓ 1 callersFunctionparse_arguments

(argv)

contributed/predict.py:112

↓ 1 callersFunctionparse_arguments

(argv)

contributed/batch_represent.py:134

↓ 1 callersFunctionparse_arguments

(argv)

contributed/cluster.py:167

↓ 1 callersFunctionparse_arguments

(argv)

contributed/real_time_face_recognition.py:94

↓ 1 callersFunctionparse_arguments

(argv)

contributed/export_embeddings.py:164

↓ 1 callersFunctionprewhiten

(x)

src/facenet.py:213

↓ 1 callersFunctionread_annotations

(filename)

src/generative/calculate_attribute_vectors.py:157

↓ 1 callersFunctionreduction_a

(net, k, l, m, n)

src/models/inception_resnet_v1.py:91

↓ 1 callersFunctionreduction_b

(net)

src/models/inception_resnet_v1.py:108

↓ 1 callersFunctionrender_multiscale

(t_obj, img0=img_noise, iter_n=10, step=1.0, octave_n=3, octave_scale=1.4)

tmp/deepdream.py:136

↓ 1 callersFunctionrender_naive

(t_obj, img0=img_noise, iter_n=20, step=1.0)

tmp/deepdream.py:89

↓ 1 callersFunctionrender_naive

(sess, t_input, t_obj, img0, iter_n=20, step=1.0)

tmp/visualize.py:94

↓ 1 callersFunctionrender_naive

(sess, t_input, t_obj, img0, iter_n=20, step=1.0)

tmp/visualize_vggface.py:35

↓ 1 callersFunctionsample_people

(dataset, people_per_batch, images_per_person)

src/train_tripletloss.py:313

↓ 1 callersFunctionsave_response_content

(response, destination)

src/download_and_extract.py:45

↓ 1 callersFunctionsave_variables_and_metagraph

(sess, saver, summary_writer, model_dir, model_name, step)

src/train_softmax.py:457

↓ 1 callersFunctionsave_variables_and_metagraph

(sess, saver, summary_writer, model_dir, model_name, step)

src/train_tripletloss.py:381

↓ 1 callersFunctionselect_triplets

Select the triplets for training

src/train_tripletloss.py:271

↓ 1 callersMethodsetup

Construct the network.

src/align/detect_face.py:75

↓ 1 callersFunctionshowarray

(a)

tmp/visualize_vggface.py:26

↓ 1 callersFunctionsplit_dataset

(dataset, min_nrof_images_per_class, nrof_train_images_per_class)

src/classifier.py:125

↓ 1 callersFunctionsqErrorLossContent

(sess, modelGraph, layer)

tmp/visualize_vgg_model.py:31

↓ 1 callersFunctionsqErrorLossStyle

(sess, modelGraph)

tmp/visualize_vgg_model.py:46

↓ 1 callersFunctionsqueeze

(inputs, num_outputs)

src/models/squeezenet.py:21

↓ 1 callersFunctionto_rgb

(img)

tmp/download_vgg_face_dataset.py:88

↓ 1 callersFunctionto_rgb

(img)

src/facenet.py:237

↓ 1 callersFunctiontrain

(args, sess, epoch, image_list, label_list, index_dequeue_op, enqueue_op, image_paths_placeholder, labels_plac

src/train_softmax.py:296

↓ 1 callersFunctiontrain

(args, sess, dataset, epoch, image_paths_placeholder, labels_placeholder, labels_batch, batch_size_p

src/train_tripletloss.py:200

↓ 1 callersFunctionvalidate

(args, sess, epoch, image_list, label_list, enqueue_op, image_paths_placeholder, labels_placeholder, control_p

src/train_softmax.py:356

↓ 1 callersFunctionvisstd

Normalize the image range for visualization

tmp/visualize.py:90

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