Functions — github.com/CSAILVision/gandissect

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Functions1,505 in github.com/CSAILVision/gandissect

⨍ Functions 1,505◇ Types & classes 131↳ Endpoints 3

Method__init__

(self, resolution=6 * 1024, buffersize=None, seed=None, state=None)

netdissect/runningstats.py:475

Method__init__

(self, state=None)

netdissect/runningstats.py:584

Method__init__

(self, data, examples)

netdissect/statedict.py:44

Method__init__

(self, data, prefix='')

netdissect/statedict.py:75

Method__init__

(self, mean, stdev)

netdissect/dissection.py:1496

Method__init__

(self, dataset, recover_image=None)

netdissect/dissection.py:1506

Method__init__

(self, dataset, recover_image=None)

netdissect/dissection.py:1530

Method__init__

(self, segmenter)

netdissect/dissection.py:1573

Method__init__

A pytorch progessive GAN generator that can be converted directly from either a tensorflow model or a theano model. It consists of

netdissect/proggan.py:35

Method__init__

(self)

netdissect/proggan.py:99

Method__init__

(self, in_channels, out_channels, kernel_size, padding)

netdissect/proggan.py:124

Method__init__

(self, in_channels, out_channels, kernel_size, padding)

netdissect/proggan.py:140

Method__init__

(self, in_channels, tanh=False)

netdissect/proggan.py:158

Method__init__

(self, inplanes, planes, stride=1, groups=1, downsample=None)

netdissect/upsegmodel/resnext.py:35

Method__init__

(self)

netdissect/upsegmodel/models.py:13

Method__init__

(self, net_enc, net_dec, labeldata, loss_scale=None)

netdissect/upsegmodel/models.py:49

Method__init__

(self)

netdissect/upsegmodel/models.py:151

Method__init__

(self, nr_classes, fc_dim=4096, use_softmax=False, pool_scales=(1, 2, 3, 6),

netdissect/upsegmodel/models.py:267

Method__init__

(self, inplanes, planes, stride=1, downsample=None)

netdissect/upsegmodel/resnet.py:35

Method__init__

(self, inplanes, planes, stride=1, downsample=None)

netdissect/upsegmodel/resnet.py:67

Method__init__

(self, pooled_height, pooled_width, spatial_scale)

netdissect/upsegmodel/prroi_pool/prroi_pool.py:20

Method__init__

(self, inplanes, planes, stride=1, groups=1, downsample=None)

netdissect/segmodel/resnext.py:34

Method__init__

(self)

netdissect/segmodel/models.py:12

Method__init__

(self, net_enc, net_dec, crit, deep_sup_scale=None)

netdissect/segmodel/models.py:25

Method__init__

(self, orig_resnet, dilate_scale=8)

netdissect/segmodel/models.py:226

Method__init__

(self, num_class=150, fc_dim=2048, inference=False, use_softmax=False)

netdissect/segmodel/models.py:290

Method__init__

(self, num_class=150, fc_dim=2048, inference=False, use_softmax=False)

netdissect/segmodel/models.py:328

Method__init__

(self, num_class=150, fc_dim=4096, inference=False, use_softmax=False, pool_scales=(1, 2, 3,

netdissect/segmodel/models.py:356

Method__init__

(self, num_class=150, fc_dim=4096, inference=False, use_softmax=False, pool_scales=(1, 2, 3,

netdissect/segmodel/models.py:407

Method__init__

(self, num_class=150, fc_dim=4096, inference=False, use_softmax=False, pool_scales=(1, 2, 3,

netdissect/segmodel/models.py:470

Method__init__

(self, inplanes, planes, stride=1, downsample=None)

netdissect/segmodel/resnet.py:35

Method__init__

(self, inplanes, planes, stride=1, downsample=None)

netdissect/segmodel/resnet.py:67

Method__iter__

(self)

netdissect/sampler.py:26

Method__iter__

(self)

netdissect/statedict.py:65

Method__len__

(self)

netdissect/parallelfolder.py:67

Method__len__

(self)

netdissect/segdata.py:54

Method__len__

(self)

netdissect/broden.py:93

Method__len__

(self)

netdissect/sampler.py:29

Method__len__

(self)

netdissect/statedict.py:67

Method__len__

(self)

netdissect/statedict.py:99

Method__missing__

(self, key)

netdissect/autoeval.py:21

Method__repr__

(self)

netdissect/__main__.py:400

Method__setattr__

(self, name, value)

netdissect/easydict.py:108

Function_current_copy_payload_old

()

client/ts/ganclient.ts:633

Function_current_copy_payload_old

()

client_dist/ganclient.js:1071

Method_nostride_dilate

(self, m, dilate)

netdissect/segmodel/models.py:255

Method_render

(rD: PaintSelectViewData = this.renderData)

client/ts/vis/PaintSelectView.ts:60

Method_render

(rData: BarchartCanvasData = this.renderData)

client/ts/vis/BarchartCanvas.ts:71

Method_wrangle

(data: PaintSelectViewData)

client/ts/vis/PaintSelectView.ts:55

Method_wrangle

(data: GanPaintViewData)

client/ts/vis/GanPaintView.ts:285

Method_wrangle

(data: BarchartCanvasData)

client/ts/vis/BarchartCanvas.ts:109

Methodablated

(data: API_generate)

client/ts/vis/ExampleView.ts:114

Methodablation

(_a)

client/ts/vis/AblationView.ts:404

MethodablationChannels

(project: string, layer = "layer2")

client/ts/api/GanterAPI.ts:129

MethodablationChannels

(project, layer = "layer2")

client_dist/ganpaint.js:261

MethodablationChannels

(project, layer = "layer2")

client_dist/ganclient.js:206

Methodablation_modified

()

client/ts/vis/AblationView.ts:410

Functionaccumulate

(quad)

client_dist/vendor.js:5684

Functionacos

(x)

client_dist/vendor.js:8888

Methodadd

(self, a, b)

netdissect/runningstats.py:593

FunctionaddAll

(data)

client_dist/vendor.js:14169

FunctionaddBeach

(site)

client_dist/vendor.js:25686

Methodadd_d

(layer, name=None)

netdissect/proggan.py:73

Functionadd_scale_offset_info

Creates a 'scale_offset' property on the model which guesses how to offset the featuremap, in cases where the convolutional padding does

netdissect/__main__.py:333

FunctionalbersUsa

(coordinates)

client_dist/vendor.js:9593

Functionarc

()

client_dist/vendor.js:19949

FunctionarcEndAngle

(d)

client_dist/vendor.js:19881

FunctionarcInnerRadius

(d)

client_dist/vendor.js:19869

FunctionarcOuterRadius

(d)

client_dist/vendor.js:19873

FunctionarcPadAngle

(d)

client_dist/vendor.js:19885

FunctionarcStartAngle

(d)

client_dist/vendor.js:19877

Functionarea

(data)

client_dist/vendor.js:20158

FunctionareaPointFirst

(lambda, phi)

client_dist/vendor.js:6973

FunctionareaRingEnd

()

client_dist/vendor.js:6969

FunctionareaRingStart

()

client_dist/vendor.js:6965

Functionargsort

(array, sortFct)

client_dist/ganpaint.js:620

Functionargsort

(array, sortFct)

client_dist/ganclient.js:565

Functionarr_to_obj

(arr)

client_dist/ganpaint.js:635

Functionarr_to_obj

(arr)

client_dist/ganclient.js:580

Functionascending

(a, b)

client_dist/vendor.js:19405

Functionasin

(x)

client_dist/vendor.js:8892

FunctionattachCircle

(arc)

client_dist/vendor.js:25978

FunctionattrConstant

(name, value)

client_dist/vendor.js:18272

FunctionattrConstantNS

(fullname, value)

client_dist/vendor.js:18278

FunctionattrFunction

(name, value)

client_dist/vendor.js:18284

FunctionattrFunctionNS

(fullname, value)

client_dist/vendor.js:18292

FunctionattrRemove

(name)

client_dist/vendor.js:18260

FunctionattrRemoveNS

(fullname)

client_dist/vendor.js:18266

FunctionattrTween

(name, value)

client_dist/vendor.js:24632

FunctionattrTweenNS

(fullname, value)

client_dist/vendor.js:24621

FunctionattrsFunction

(selection, map)

client_dist/vendor.js:17706

FunctionattrsObject

(selection, map)

client_dist/vendor.js:17713

FunctionaxisBottom

(scale)

client_dist/vendor.js:1348

FunctionaxisLeft

(scale)

client_dist/vendor.js:1352

FunctionaxisRight

(scale)

client_dist/vendor.js:1344

FunctionaxisTop

(scale)

client_dist/vendor.js:1340

FunctionazimuthalInvert

(angle)

client_dist/vendor.js:9702

FunctionazimuthalRaw

(scale)

client_dist/vendor.js:9690

FunctionbackIn

(t)

client_dist/vendor.js:4702

FunctionbackInOut

(t)

client_dist/vendor.js:4726

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