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Functions295 in github.com/alterzero/RBPN-PyTorch

⨍ Functions 295◇ Types & classes 34

MethodConvertToVisualWords

pyflow/src/Image.h:2153

MethodDissembleFlow

pyflow/src/OpticalFlow.h:79

MethodEnforceRange

pyflow/src/ImageProcessing.h:26

pyflow/src/Image.h:1890

MethodFindClosestPoint

pyflow/src/Stochastic.h:366

pyflow/src/Stochastic.h:162

MethodGaussianFiltering

pyflow/src/Stochastic.h:392

MethodGaussianMixture

pyflow/src/NoiseModel.h:26

MethodGaussianPyramid

pyflow/src/GaussianPyramid.cpp:7

MethodGaussianSampling

pyflow/src/Stochastic.cpp:44

MethodGaussianSmoothing_transpose

pyflow/src/Image.h:1209

MethodGenerate1DGaussian

pyflow/src/Stochastic.cpp:79

MethodGenerate2DGaussian

pyflow/src/Stochastic.cpp:88

pyflow/src/Stochastic.cpp:55

MethodGetMeanVar

pyflow/src/Stochastic.h:58

pyflow/src/Image.h:98

pyflow/src/Image.h:657

MethodIsInImage

pyflow/src/Image.h:99

MethodKMeanClustering

pyflow/src/Stochastic.h:288

MethodLaplacian

pyflow/src/OpticalFlow.cpp:855

MethodLaplacian

pyflow/src/ImageProcessing.h:299

MethodLoadMatlabImage

pyflow/src/Image.h:2749

MethodLoadMatlabImageCore

pyflow/src/Image.h:2713

MethodLoadOpticalFlow

pyflow/src/OpticalFlow.cpp:1135

pyflow/src/Matrix.h:108

pyflow/src/Stochastic.h:152

pyflow/src/Stochastic.h:132

MethodMultiplyAcross

pyflow/src/Image.h:1725

MethodMultiplywithAcross

pyflow/src/Image.h:1759

MethodNormalize

pyflow/src/Stochastic.h:84

MethodOpticalFlow

pyflow/src/OpticalFlow.cpp:25

MethodOutputToMatlab

pyflow/src/Image.h:2823

(pred, gt, shave_border=0)

MethodResizeImage

pyflow/src/ImageProcessing.h:205

pyflow/src/Stochastic.cpp:65

MethodSanityCheck

-------------------------------------------------------------------------------------------------------- function to do sanity check: imdx*du+imdy*dy+

pyflow/src/OpticalFlow.cpp:90

MethodSaveOpticalFlow

pyflow/src/OpticalFlow.cpp:1165

MethodSmoothFlowPDE

-------------------------------------------------------------------------------------------------------- function to compute optical flow field using

pyflow/src/OpticalFlow.cpp:466

MethodSmoothFlowSOR

-------------------------------------------------------------------------------------------------------- function to compute optical flow field using

pyflow/src/OpticalFlow.cpp:196

MethodSolveLinearSystem

pyflow/src/Matrix.h:482

MethodUniformSampling

pyflow/src/Stochastic.cpp:31

pyflow/src/Vector.h:124

MethodVectorSquareDistance

pyflow/src/Stochastic.h:275

Function_Release1DBuffer

pyflow/src/project.h:13

Function_Rlease2DBuffer

pyflow/src/project.h:21

Method__getitem__

Method__getitem__

(self, num_channels, base_filter, feat, num_stages, n_resblock, nFrames, scale_factor)

(self, base_filter, feat, num_stages, scale_factor)

(self, image_dir, nFrames, upscale_factor, file_list, other_dataset, future_frame, transform=None)

(self, input_size, output_size, bias=True, activation='relu', norm='batch')

base_networks.py:5

(self, input_size, output_size, kernel_size=3, stride=1, padding=1, bias=True, activation='prelu', norm=None)

base_networks.py:40

(self, input_size, output_size, kernel_size=4, stride=2, padding=1, bias=True, activation='prelu', norm=None)

base_networks.py:75

(self, num_filter, kernel_size=3, stride=1, padding=1, bias=True, activation='prelu', norm='batch')

base_networks.py:110

(self, num_filter, kernel_size=8, stride=4, padding=2, scale=4, bias=True, activation='prelu', norm=None)

base_networks.py:170

(self, num_filter, kernel_size=8, stride=4, padding=2, num_stages=1, bias=True, activation='prelu', norm=None)

base_networks.py:183

(self, num_filter, kernel_size=8, stride=4, padding=2, num_stages=1, scale=4, bias=True, activation='prelu', n

base_networks.py:198

(self, num_filter, kernel_size=8, stride=4, padding=2, bias=True, activation='prelu', norm=None)

base_networks.py:213

(self, num_filter, kernel_size=8, stride=4, padding=2, scale=4,bias=True, activation='prelu', norm=None)

base_networks.py:226

(self, num_filter, kernel_size=8, stride=4, padding=2, num_stages=1, bias=True, activation='prelu', norm=None)

base_networks.py:239

(self, num_filter, kernel_size=8, stride=4, padding=2, num_stages=1, scale=4, bias=True, activation='prelu', n

base_networks.py:254

(self, input_size, output_size, scale_factor, kernel_size=3, stride=1, padding=1, bias=True, activation='prelu

base_networks.py:269

(self, scale, n_feat, bn=False, act='prelu', bias=True)

base_networks.py:304

(self, input_size, output_size, bias=True, upsample='deconv', activation='relu', norm='batch')

base_networks.py:334

pyflow/src/Image.h:426

pyflow/src/Vector.h:25

pyflow/src/Vector.h:165

pyflow/src/NoiseModel.h:77

MethodcheckDimLeft

pyflow/src/Matrix.h:259

MethodcheckDimRight

pyflow/src/Matrix.h:235

pyflow/src/NoiseModel.h:85

MethodcomputeDimension

pyflow/src/Image.h:46

Methodconcatenate

pyflow/src/Vector.h:390

pyflow/src/NoiseModel.h:48

pyflow/src/Matrix.h:150

pyflow/src/Vector.h:178

MethodcropImage

pyflow/src/ImageProcessing.h:623

pyflow/src/Matrix.h:158

pyflow/src/Matrix.h:167

pyflow/src/NoiseModel.h:137

MethoddisplayTop

pyflow/src/GaussianPyramid.cpp:110

pyflow/src/Image.h:1035

pyflow/src/Image.h:1081

MethodenableDispInfo

pyflow/src/Matrix.h:36

pyflow/src/Stochastic.cpp:103

MethodestGaussianMixture

pyflow/src/OpticalFlow.cpp:765

MethodestLaplacianNoise

pyflow/src/OpticalFlow.cpp:819

Methodfiltering

pyflow/src/ImageProcessing.h:390

Methodfiltering_transpose

pyflow/src/ImageProcessing.h:422

Methodflip_horizontal

pyflow/src/Image.h:1659

(self, x, neigbor, flow)

base_networks.py:27

base_networks.py:62

base_networks.py:97

base_networks.py:134

base_networks.py:163

base_networks.py:176

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