Functions — github.com/davidsandberg/facenet

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Functions312 in github.com/davidsandberg/facenet

⨍ Functions 312◇ Types & classes 20

↓ 1 callersFunctionvisstd

Normalize the image range for visualization

tmp/visualize_vggface.py:31

Method__init__

Instantiate an 'AlignDlib' object. :param facePredictor: The path to dlib's :type facePredictor: str

tmp/align_dlib.py:89

Method__init__

(self, name, image_paths)

src/facenet.py:307

Method__init__

(self, inputs, trainable=True)

src/align/detect_face.py:63

Method__init__

(self, latent_variable_dim)

src/generative/models/dfc_vae_large.py:39

Method__init__

(self, latent_variable_dim)

src/generative/models/dfc_vae_resnet.py:39

Method__init__

(self, latent_variable_dim, image_size)

src/generative/models/vae_base.py:34

Method__init__

(self, latent_variable_dim)

src/generative/models/dfc_vae.py:39

Method__init__

(self)

contributed/face.py:51

Method__init__

(self)

contributed/face.py:60

Method__init__

(self)

contributed/face.py:87

Method__init__

(self)

contributed/face.py:99

Method__init__

(self, face_crop_size=160, face_crop_margin=32)

contributed/face.py:123

(self, image, person_name)

contributed/face.py:65

Functionaffine

(inpOp, nIn, nOut, name, weight_decay=0.0)

tmp/network.py:52

Functionapool

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

tmp/network.py:106

Functionbatch_norm

Batch normalization on convolutional maps. Args: x: Tensor, 4D BHWD input maps n_out: integer

tmp/mnist_center_loss.py:194

Functionblock17

Builds the 17x17 resnet block.

src/models/inception_resnet_v1.py:51

Functionblock17

Builds the 17x17 resnet block.

src/models/inception_resnet_v2.py:51

Functionblock35

Builds the 35x35 resnet block.

src/models/inception_resnet_v1.py:30

Functionblock35

Builds the 35x35 resnet block.

src/models/inception_resnet_v2.py:30

Functionbulk_detect_face

Detects faces in a list of images images: list containing input images detection_window_size_ratio: ratio of minimum face size to smallest ima

src/align/detect_face.py:421

Functioncalculate_roc

(thresholds, embeddings1, embeddings2, actual_issame, nrof_folds=10, distance_metric=0, subtract_mean=False)

src/facenet.py:424

Functioncalculate_val

(thresholds, embeddings1, embeddings2, actual_issame, far_target, nrof_folds=10, distance_metric=0, subtract_m

src/facenet.py:471

Functioncenter_loss

Center loss based on the paper "A Discriminative Feature Learning Approach for Deep Face Recognition" (http://ydwen.github.io/papers/WenECCV16.

src/facenet.py:64

Functionconv2d_block

(inp, scale, *args, **kwargs)

src/generative/models/dfc_vae_resnet.py:105

Functioncreate_checkpoint_file

(model_dir, model_file)

test/restore_test.py:172

Functioncreate_input_pipeline

(input_queue, image_size, nrof_preprocess_threads, batch_size_placeholder)

src/facenet.py:103

Functioncreate_mtcnn

(sess, model_path)

src/align/detect_face.py:276

Methoddecoder

(self, latent_var, is_training)

src/generative/models/dfc_vae_large.py:64

Methoddecoder

(self, latent_var, is_training)

src/generative/models/dfc_vae_resnet.py:72

Methoddecoder

(self, latent_var, is_training)

src/generative/models/vae_base.py:52

Functiondetect_face

Detects faces in an image, and returns bounding boxes and points for them. img: input image minsize: minimum faces' size pnet, rnet, onet:

src/align/detect_face.py:298

Functiondownload_and_extract_file

(model_name, data_dir)

src/download_and_extract.py:13

Methodencoder

(self, images, is_training)

src/generative/models/dfc_vae_large.py:43

Methodencoder

(self, images, is_training)

src/generative/models/dfc_vae_resnet.py:42

Methodencoder

(self, images, is_training)

src/generative/models/vae_base.py:48

Functionevaluate

(embeddings, actual_issame, nrof_folds=10, distance_metric=0, subtract_mean=False)

src/lfw.py:34

Functionget_dataset

(path, has_class_directories=True)

src/facenet.py:317

Functionget_image_paths_and_labels

(dataset)

src/facenet.py:79

Functionget_label_batch

(label_data, batch_size, batch_index)

src/facenet.py:257

Functionget_learning_rate_from_file

(filename, epoch)

src/facenet.py:289

Functionget_learning_rate_from_file

(filename, epoch)

src/train_tripletloss.py:404

Methodget_output

Returns the current network output.

src/align/detect_face.py:112

Functionget_paths

(lfw_dir, pairs)

src/lfw.py:46

Functionget_triplet_batch

(triplets, batch_index, batch_size)

src/facenet.py:281

Functioninception

(inp, inSize, ks, o1s, o2s1, o2s2, o3s1, o3s2, o4s1, o4s2, o4s3, poolType, name, phase_train=Tr

tmp/network.py:148

Functioninference

Define an inference network for face recognition based on inception modules using batch normalization Args: images: The im

tmp/nn2.py:31

Functioninference

Define an inference network for face recognition based on inception modules using batch normalization Args: images: The im

tmp/nn4.py:31

Functioninference

Define an inference network for face recognition based on inception modules using batch normalization Args: images: The im

tmp/nn3.py:31

Functioninference

Define an inference network for face recognition based on inception modules using batch normalization Args: images: The im

tmp/nn4_small2_v1.py:31

Functioninference

(images, keep_probability, phase_train=True, bottleneck_layer_size=128, weight_decay=0.0, reuse

src/models/inception_resnet_v1.py:130

Functioninference

(images, keep_probability, phase_train=True, bottleneck_layer_size=128, weight_decay=0.0, reuse=None)

src/models/squeezenet.py:30

Functioninference

(images, keep_probability, phase_train=True, bottleneck_layer_size=128, weight_decay=0.0, reuse

src/models/inception_resnet_v2.py:91

Functioninference

(images, keep_probability, phase_train=True, # @UnusedVariable bottleneck_layer_size=128, bottl

src/models/dummy.py:33

Functioninference_affine_test

(images)

tmp/seed_test.py:117

Functionlap_normalize

Perform the Laplacian pyramid normalization.

tmp/deepdream.py:183

Functionlayer

Decorator for composable network layers.

src/align/detect_face.py:37

Functionlayer_decorated

(self, *args, **kwargs)

src/align/detect_face.py:40

Functionleaky_relu

(x)

src/generative/models/dfc_vae_large.py:94

Functionleaky_relu

(x)

src/generative/models/dfc_vae_resnet.py:108

Functionleaky_relu

(x)

src/generative/models/dfc_vae.py:90

Functionlist_variables

tmp/vggverydeep19.py:9

Functionload_data

(image_paths, do_random_crop, do_random_flip, image_size, do_prewhiten=True)

src/facenet.py:243

Functionload_model

(model, input_map=None)

src/facenet.py:364

Functionmain

(argv=None)

tmp/mnist_center_loss.py:124

Functionmain

(argv=None)

tmp/mnist_noise_labels.py:123

Functionmean_var_with_update

()

tmp/network.py:138

Functionmean_var_with_update

()

tmp/mnist_center_loss.py:218

Functionnormalize_std

Normalize image by making its standard deviation = 1.0

tmp/deepdream.py:177

Functionput_images_on_grid

(images, shape=(16,8))

src/facenet.py:551

Functionrandom_rotate_image

(graph_def, rename_func)

tmp/deepdream.py:66

Functionrotate_images

(images, angle, image_size)

tmp/test_invariance_on_lfw.py:170

Functionscale_images

(images, scale, image_size)

tmp/test_invariance_on_lfw.py:160

MethodsetUpClass

(self)

test/restore_test.py:33

MethodsetUpClass

(self)

test/train_test.py:53

Methodsetup

(self)

src/align/detect_face.py:217

Methodsetup

(self)

src/align/detect_face.py:233

Methodsetup

(self)

src/align/detect_face.py:252

Functionshuffle_examples

(image_paths, labels)

src/facenet.py:87

Functionsplit_dataset

(dataset, split_ratio, min_nrof_images_per_class, mode)

src/facenet.py:339

Functionstore_revision_info

(src_path, output_dir, arg_string)

src/facenet.py:518

Functionstrip_consts

Strip large constant values from graph_def.

tmp/deepdream.py:53

MethodtearDown

(self)

test/train_test.py:72

MethodtearDownClass

(self)

test/restore_test.py:37

MethodtearDownClass

(self)

test/train_test.py:68

MethodtestBatchNorm

(self)

test/batch_norm_test.py:33

MethodtestCenterLoss

(self)

test/center_loss_test.py:32

MethodtestDemuxEmbeddings

(self)

test/triplet_loss_test.py:30

Methodtest_compare

(self)

test/train_test.py:166

Methodtest_finetune_tripletloss_inception_resnet_v1

(self)

test/train_test.py:146

Methodtest_freeze_graph

(self)

test/train_test.py:200

Methodtest_restore_ema

(self)

test/restore_test.py:91

Methodtest_restore_noema

(self)

test/restore_test.py:41

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