Functions — github.com/Prinsphield/DNA-GAN

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Functions53 in github.com/Prinsphield/DNA-GAN

⨍ Functions 53 ◇ Types & classes 3

↓ 12 callersMethodsplitter

(self, name, image)

↓ 10 callersMethodjoiner

(self, name, encode)

↓ 7 callersMethodleakyRelu

(self, x, alpha=0.2)

↓ 5 callersMethodmake_conv_bn

(self, name, X, shape, strides)

↓ 4 callersMethoddiscriminator

(self, name, image, label, feat_id)

↓ 3 callersMethodinput

↓ 3 callersFunctionint64_feature

create_tfrecords.py:14

↓ 2 callersFunctionbytes_feature

create_tfrecords.py:20

↓ 2 callersMethodmake_conv

(self, name, X, shape, strides)

↓ 2 callersMethodmake_deconv_bn

(self, name, X, filter_shape, out_shape, strides)

↓ 2 callersMethodswap_attribute

enc_Ax: a list of latent encoding of A, [enc_A1, ..., enc_An, z_A] enc_Be: a list of latent encoding of B, [enc_B1, ..., enc_Bn, z_B]

↓ 1 callersFunction_get_align_5p_mat23_size_256

preprocess.py:59

↓ 1 callersFunctionalign_2p

(img, left_eye, right_eye)

preprocess.py:10

↓ 1 callersFunctionalign_face_5p

(img, landmarks)

preprocess.py:127

↓ 1 callersFunctionalign_given_lm5p

(img, lm5p, size)

preprocess.py:122

↓ 1 callersMethodbuild_model

↓ 1 callersFunctioncreate_tf_example

(line, attribute_name, img_dir)

create_tfrecords.py:29

↓ 1 callersMethodd_lr

(self, init_lr=0.00005, decay_rate=1, decay_step=10000, epoch=0)

↓ 1 callersMethodg_lr

(self, init_lr=0.00005, decay_rate=1, decay_step=10000, epoch=0)

↓ 1 callersFunctionget_align_5p_mat23

Align a face given 5 facial landmarks of left_eye_pupil, right_eye_pupil, nose_tip, left_mouth_corner, right_mouth_corner :param lm5p: nparra

preprocess.py:107

↓ 1 callersMethodget_filter_fn

(self, feat_id, pos)

↓ 1 callersFunctionget_representation

(img, model, model_dir, out_path)

↓ 1 callersFunctioninterpolation

Input src_img: the source image that you want to change its attribute att_img: the attribute image that has certain attribute

↓ 1 callersFunctioninterpolation2

Input src_img: the source image that you want to change its attribute att_imgs: the attribute images that has certain attribute

↓ 1 callersFunctioninterpolation_matrix

Input src_img: the source image that you want to change its attribute [1, h, w, c] att_imgs: four attribute images that has certa

↓ 1 callersFunctionmain

↓ 1 callersFunctionmain

↓ 1 callersFunctionmain

create_tfrecords.py:69

↓ 1 callersFunctionmain

(data_dir, out_dir, thread_num)

preprocess.py:139

↓ 1 callersFunctionmain

↓ 1 callersMethodmake_deconv

(self, name, X, filter_shape, out_shape, strides)

↓ 1 callersMethodmake_fc

(self, name, X, out_dim)

↓ 1 callersFunctionrun

(config, dataset, model, gpu)

↓ 1 callersFunctionswap_attribute

Input src_img: the source image that you want to change its attribute att_img: the attribute image that has certain attribute

↓ 1 callersMethodzeros_encode

enc: a list of latent encoding, [enc_1, ..., enc_n, z] enc_id: the id of the latent to be null

(self, feature_list, data_dir=config.data_dir, nhwc=config.nhwc, num_threads=config.num_threads, shuffle=confi

(self, feature_list, is_train=True, nhwc=config.nhwc, max_iter=config.max_iter, weight_decay=config.weight_dec

Functionalign_face_2p

(img, landmarks)

preprocess.py:44

Functionbytes_list_feature

create_tfrecords.py:23

Methodfilter_fn

(self, feat_id, pos, image, feature_val)

Functionfloat_list_feature

create_tfrecords.py:26

Functionint64_list_feature

create_tfrecords.py:17

Functioninterpolation1_

Input src_img: the source image that you want to change its attribute att_img: the attribute image that has certain attribute

Methodmake_fc_bn

(self, name, X, out_dim)

Methodmodel_dir

(self, serialized_example)

Methodsample_img_dir

create_tfrecords.py:46

(data_dir, out_dir, landmarks, i)

preprocess.py:131