Functions — github.com/YoungGod/sturcture-inpainting

hub / github.com/YoungGod/sturcture-inpainting / functions

Functions209 in github.com/YoungGod/sturcture-inpainting

⨍ Functions 209◇ Types & classes 19

↓ 1 callersFunctionmrf_loss

(T_features, I_features, distance=Distance.DotProduct, nnsigma=float(1.0), args=None)

src/loss.py:462

↓ 1 callersFunctionmulti_gpu_setting

(model, args)

src/train_inpaint_model.py:20

↓ 1 callersFunctionnormalize

(x)

painter/ops.py:531

↓ 1 callersFunctionnp_free_form_mask

(maxVertex, maxLength, maxBrushWidth, maxAngle, h, w)

src/utils_fn.py:19

↓ 1 callersMethodpatch_decomposition

(self, T_features, args=None)

src/loss.py:435

↓ 1 callersFunctionpatch_gan_loss

patch gan loss

src/loss.py:143

↓ 1 callersFunctionrandom_interpolates

x: first dimension as batch_size y: first dimension as batch_size alpha: [BATCH_SIZE, 1]

src/loss.py:167

↓ 1 callersFunctionrandom_pooling

(feats, output_1d_size=100)

src/loss.py:491

↓ 1 callersFunctionresnet_block21

(x, cnum, ksize, stride, rate, name, IN=True, padding='SAME', activation=tf.nn.relu, traini

src/ops.py:139

↓ 1 callersFunctionresnet_block21

(x, cnum, ksize, stride, rate, name, IN=True, padding='SAME', activation=tf.nn.relu, traini

painter/ops.py:138

↓ 1 callersFunctionresnet_blocks

(x, cnum, ksize, stride, rate, block_num, name, IN=True, padding='REFLECT', activation=tf.n

src/ops.py:130

↓ 1 callersFunctionresnet_blocks

(x, cnum, ksize, stride, rate, block_num, name, IN=True, padding='REFLECT', activation=tf.n

painter/ops.py:129

↓ 1 callersFunctionselect_gpu

Finding the gpu number with min used memory. Args: None Returns: GPU number with min used memory (or with max free memo

src/config.py:110

↓ 1 callersMethodsetup

(self)

painter/painter.py:60

↓ 1 callersMethodshow

(self, cfg_dict=None, indent=0)

src/config.py:88

↓ 1 callersMethodshow

(self, cfg_dict=None, indent=0)

painter/config.py:87

↓ 1 callersFunctionsingle_gpu_setting

(model, args)

src/train_inpaint_model.py:113

↓ 1 callersMethodsum_normalize

(cs, axis=3)

src/loss.py:403

↓ 1 callersMethodtv_loss

(self, image)

src/loss.py:96

↓ 1 callersFunctionuqi_vif

(path_true, path_pred)

src/metrics.py:42

FunctionAtnConv

r""" Attention transfer networks implementation in tensorflow Attention transfer networks is introduced in publication: Learning Pyramid

(self, vgg_dir, real_image)

src/loss.py:31

Method__init__

(self, sigma=float(0.1), b=float(1.0))

(self, filename=None)

src/config.py:70

Method__init__

(self, data_path)

src/vgg_network.py:22

Method__init__

(self, args)

src/inpaint_model.py:11

Method__init__

(self, num_images, image_shape, image_dtype, minibatch_size)

src/frechet_inception_distance.py:252

(self, sess, fetches)

src/utils/FetchManager.py:2

(self, filename=None)

painter/config.py:69

Method__init__

(self, args)

painter/inpaint_model.py:9

Method__init__

(self, config)

painter/painter.py:23

Method__new__

Add include constructer to class.

src/config.py:12

Method__new__

Add include constructer to class.

painter/config.py:11

Methodadversarial_loss

Generate mask tensor from bbox. Args: bbox: configuration tuple, (top, left, height, width) config: Config should have config

src/utils_fn.py:641

Methodbegin

(self, mode)

src/frechet_inception_distance.py:265

MethodbeginPaint

(self, event)

painter/painter.py:243

Functioncanny_edge

Extract edges in tensorflow. example: input = tf.placeholder(dtype=tf.float32, shape=[None, 900, 900, 3]) output = tf.py_func(canny_e

structure_loss.py:24

Functioncanny_edge

Extract edges in tensorflow. example: input = tf.placeholder(dtype=tf.float32, shape=[None, 900, 900, 3]) output = tf.py_func(canny_e

src/loss.py:591

Functioncanny_edge

Extract edges in tensorflow. example: input = tf.placeholder(dtype=tf.float32, shape=[None, 900, 900, 3]) output = tf.py_func(canny_e

painter/structure_loss.py:24

Methodconstruct_include

Include file referenced at node.

src/config.py:30

Methodconstruct_include

Include file referenced at node.

painter/config.py:29

Functiondis_conv

Define conv for discriminator. Activation is set to leaky_relu. Args: x: Input. cnum: Channel number. ksize: Ke

painter/ops.py:215

Methodend

(self, mode)

src/frechet_inception_distance.py:273

Methodevaluate

(self, x, mask, args, training=False, reuse=False)

src/inpaint_model.py:709

Methodfeed

(self, mode, minibatch)

src/frechet_inception_distance.py:269

Methodfetch

(self, feed_dictionary, additional_fetches=[])

src/utils/FetchManager.py:6

Methodfill

(self)

painter/painter.py:173

r"""Compute focal loss for predictions. Multi-labels Focal loss formula: FL = -alpha * (z-p)^gamma * log(p) -(1-alpha) * p^gamma *

src/loss.py:194

Functionfree_form_mask_tf

Free form mask rf: NIPS multi-column conv

src/utils_fn.py:46

Functiongan_wgan_loss

wgan loss function for GANs. - Wasserstein GAN: https://arxiv.org/abs/1701.07875

src/loss.py:128

Methodget_metric_formatting

(self)

src/frechet_inception_distance.py:262

Methodget_metric_names

(self)

src/frechet_inception_distance.py:259

Methodicon2mice

(self, event)

painter/painter.py:284

Methodicon2pen

(self, event)

painter/painter.py:281

Methodimage_edge_processing

(self, filename)

src/utils_fn.py:114

Methodimage_edge_scale_processing

(self, filename)

src/utils_fn.py:134

Methodimage_processing

src/utils_fn.py:90

Methodimage_processing2

Functionload_img_edge

Load image data

src/utils_fn.py:459

Functionload_test_data

Load image data

src/utils_fn.py:353

Functionload_val_img_edge

Load image data

src/utils_fn.py:490

Functionload_validation_data

Load image data

src/utils_fn.py:291

Methodmask_processing

(self, filename)

src/utils_fn.py:160

Methodmask_processing2

For training

src/utils_fn.py:166

Methodmask_processing3

For validation and test

(bbox, height, width, delta_h, delta_w)

src/utils_fn.py:653

Functionout_complete

(out, x_incomplete, mask, res)

src/ops.py:261

Functionout_complete

(out, x_incomplete, mask, res)

painter/ops.py:261

Methodpaint

(self, event)

painter/painter.py:248

Methodpreprocess

(self, image)

src/vgg_network.py:31

Functionpyramid_structure_loss

(image, predicts, edge_alpha, grad_alpha)

structure_loss.py:54

Functionpyramid_structure_loss

(image, predicts, edge_alpha, grad_alpha)

src/loss.py:611

Functionpyramid_structure_loss

(image, predicts, edge_alpha, grad_alpha)

painter/structure_loss.py:54

Functionrandom_bbox

Generate a random tlhw with configuration. Args: config: Config should have configuration including IMG_SHAPES, VERTICAL_

src/utils_fn.py:612

Functionrandom_crop_together

(im1, im2, size)

src/utils/helper.py:32

Functionread_image

(file_name, resize=True, fliplr=False)

src/utils/helper.py:10

Methodreset

(self, event)

painter/painter.py:264

Functionresnet_block12

(x, cnum, ksize, stride, rate, name, IN=True, padding='REFLECT', activation=tf.nn.elu, trai

src/ops.py:172

Functionresnet_block12

(x, cnum, ksize, stride, rate, name, IN=True, padding='REFLECT', activation=tf.nn.elu, trai

painter/ops.py:171

Methodreversed_direction_CS

painter/painter.py:207

Functionsave_image

(output, file_name)

src/utils/helper.py:20

Functionsave_images

(images, size, image_path)

src/utils_fn.py:430

← previous next →101–200 of 209, ranked by callers