Functions — github.com/chen0040/keras-face

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Functions59 in github.com/chen0040/keras-face

⨍ Functions 59 ◇ Types & classes 2

↓ 38 callersMethodimg_to_encoding

(self, image_path)

keras_face/library/siamese.py:50

↓ 24 callersMethodimg_to_encoding

(self, image_path)

keras_face/library/face_net.py:61

↓ 14 callersFunctionconcatenate

(tensors, axis=-1)

keras_face/library/fr_utils.py:32

↓ 4 callersFunctiondetect_face_from_img_path

(frontal_face_model_file_path, image_path)

keras_face/library/opencv_utils.py:6

↓ 4 callersMethodverify

Function that verifies if the person on the "image_path" image is "identity". Arguments: image_path -- path to an image

keras_face/library/face_net.py:64

↓ 4 callersMethodverify

Function that verifies if the person on the "image_path" image is "identity". Arguments: image_path -- path to an image

keras_face/library/siamese.py:204

↓ 3 callersMethodcreate_vgg16_model

(self)

keras_face/library/siamese.py:149

↓ 3 callersFunctionimg_to_encoding

(image_path, model)

keras_face/library/fr_utils.py:193

↓ 3 callersMethodwho_is_it

Implements face recognition for the happy house by finding who is the person on the image_path image. Arguments: image_path

keras_face/library/siamese.py:243

↓ 2 callersMethodcreate_network

(self, input_shape)

keras_face/library/siamese.py:92

↓ 2 callersMethodfit

(self, database, model_dir_path, epochs=None, batch_size=None, threshold=None, vgg16_include_top=None)

keras_face/library/siamese.py:154

↓ 2 callersMethodget_config_path

(model_dir_path)

keras_face/library/siamese.py:138

↓ 2 callersMethodget_weight_path

(model_dir_path)

keras_face/library/siamese.py:142

↓ 2 callersMethodload_model

(self, model_dir_path)

keras_face/library/face_net.py:55

↓ 2 callersMethodload_model

(self, model_dir_path)

keras_face/library/siamese.py:62

↓ 2 callersMethodwho_is_it

Implements face recognition for the happy house by finding who is the person on the image_path image. Arguments: image_path

keras_face/library/face_net.py:98

↓ 1 callersMethodcreate_base_network

Base network to be shared (eq. to feature extraction).

keras_face/library/siamese.py:75

↓ 1 callersMethodcreate_pairs

Positive and negative pair creation. Alternates between positive and negative pairs.

keras_face/library/siamese.py:117

↓ 1 callersFunctionfaceRecoModel

Implementation of the Inception model used for FaceNet Arguments: input_shape -- shape of the images of the dataset Returns:

keras_face/library/inception_blocks.py:212

↓ 1 callersMethodget_architecture_path

(model_dir_path)

keras_face/library/siamese.py:146

↓ 1 callersFunctioninception_block_1a

Implementation of an inception block

keras_face/library/inception_blocks_v2.py:9

↓ 1 callersFunctioninception_block_1a

Implementation of an inception block

keras_face/library/inception_blocks.py:13

↓ 1 callersFunctioninception_block_1b

(X)

keras_face/library/inception_blocks_v2.py:45

↓ 1 callersFunctioninception_block_1b

(X)

keras_face/library/inception_blocks.py:49

↓ 1 callersFunctioninception_block_1c

(X)

keras_face/library/inception_blocks_v2.py:76

↓ 1 callersFunctioninception_block_1c

(X)

keras_face/library/inception_blocks.py:80

↓ 1 callersFunctioninception_block_2a

(X)

keras_face/library/inception_blocks_v2.py:102

↓ 1 callersFunctioninception_block_2a

(X)

keras_face/library/inception_blocks.py:106

↓ 1 callersFunctioninception_block_2b

(X)

keras_face/library/inception_blocks_v2.py:134

↓ 1 callersFunctioninception_block_2b

(X)

keras_face/library/inception_blocks.py:138

↓ 1 callersFunctioninception_block_3a

(X)

keras_face/library/inception_blocks_v2.py:160

↓ 1 callersFunctioninception_block_3a

(X)

keras_face/library/inception_blocks.py:164

↓ 1 callersFunctioninception_block_3b

(X)

keras_face/library/inception_blocks_v2.py:184

↓ 1 callersFunctioninception_block_3b

(X)

keras_face/library/inception_blocks.py:188

↓ 1 callersFunctionload_weights

(model_dir_path=None)

keras_face/library/fr_utils.py:142

↓ 1 callersFunctionload_weights_from_FaceNet

(FRmodel, model_dir_path=None)

keras_face/library/fr_utils.py:130

↓ 1 callersFunctionmain

()

keras_face/library/face_net.py:143

↓ 1 callersFunctionmain

()

keras_face/library/siamese.py:293

↓ 1 callersFunctionmain

()

keras_face/library/opencv_utils.py:25

↓ 1 callersFunctionmain

()

demo/siamese_demo_predict.py:4

↓ 1 callersFunctionmain

()

demo/siamese_demo_train.py:4

↓ 1 callersFunctionmain

()

demo/opencv_detect_faces.py:4

↓ 1 callersFunctionmain

()

demo/face_net_demo.py:4

↓ 1 callersFunctiontriplet_loss

Implementation of the triplet loss as defined by formula (3) Arguments: y_true -- true labels, required when you define a loss in Keras,

keras_face/library/face_net.py:10

↓ 1 callersFunctiontriplet_loss_test

()

keras_face/library/face_net.py:39

↓ 1 callersFunctionvariable

(value, dtype=_FLOATX, name=None)

keras_face/library/fr_utils.py:18

FunctionLRN2D

(x)

keras_face/library/fr_utils.py:37

Method__init__

(self)

keras_face/library/face_net.py:52

Method__init__

(self)

keras_face/library/siamese.py:40

Methodaccuracy

Compute classification accuracy with a fixed threshold on distances.

keras_face/library/siamese.py:87

Functioncontrastive_loss

Contrastive loss from Hadsell-et-al.'06 http://yann.lecun.com/exdb/publis/pdf/hadsell-chopra-lecun-06.pdf

keras_face/library/siamese.py:27

Functionconv2d_bn

(x, layer=None, cv1_out=None, cv1_filter=(1, 1), cv1_s

keras_face/library/fr_utils.py:40

Functioneucl_dist_output_shape

(shapes)

keras_face/library/siamese.py:22

Functioneuclidean_distance

(vects)

keras_face/library/siamese.py:17

FunctionfaceRecoModel

Implementation of the Inception model used for FaceNet Arguments: input_shape -- shape of the images of the dataset Returns:

keras_face/library/inception_blocks_v2.py:208

Functionload_dataset

()

keras_face/library/fr_utils.py:177

Functionshape

(x)

keras_face/library/fr_utils.py:23

Functionsquare

(x)

keras_face/library/fr_utils.py:26

Functionzeros

(shape, dtype=_FLOATX, name=None)

keras_face/library/fr_utils.py:29