Functions — github.com/ChunpingQiu/benchmark-on-So2SatLCZ42-dataset-a-simple-tour

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Functions19 in github.com/ChunpingQiu/benchmark-on-So2SatLCZ42-dataset-a-simple-tour

⨍ Functions 19 ◇ Types & classes 1

↓ 5 callersFunctionresnet_layer

2D Convolution-Batch Normalization-Activation stack builder # Arguments inputs (tensor): input tensor from input image or previous layer

↓ 2 callersFunctiongenerator

(h5path, batchSize=32, num=None)

dataLoader.py:7

↓ 1 callersMethodBands2patches

(self, imgMat, upSampleR)

img2map/img2mapC4Lcz.py:47

↓ 1 callersMethod__img2patch

img2map/img2mapC4Lcz.py:156

↓ 1 callersFunctioncoreBorne

(x, num_filters_in, num_res_blocks, attention_module)

↓ 1 callersMethodcreateFileList

img2map/img2mapC4Lcz.py:138

↓ 1 callersMethodfile2prediction

(self, file, model)

img2map/img2mapC4Lcz.py:232

↓ 1 callersMethodloadImgMat

(self, imgFile)

img2map/img2mapC4Lcz.py:92

↓ 1 callersFunctionpredata4LCZ

(file, keyX, keyY)

evaluation.py:22

↓ 1 callersMethodpredic2tif_vector

(self, yPre0, R, C, prj, trans, mapFile, idxNan)

img2map/img2mapC4Lcz.py:187

↓ 1 callersMethodpredict_classes

img2map/img2mapC4Lcz.py:386

↓ 1 callersMethodseason2map

(self, files, model, proFile, mapFile)

img2map/img2mapC4Lcz.py:322

↓ 1 callersMethodseason2map_

(self, files, model, proFile)

img2map/img2mapC4Lcz.py:269

↓ 1 callersFunctionsen2LCZ_drop_core

(inputs, num_classes=17, bn=1, depth=5, dim=16, dropRate=0.1, fusion=0)

(self, dim_x, dim_y, dim_z, step, Bands, scale, nanValu, dim_x_img, dim_y_img)

img2map/img2mapC4Lcz.py:21

Functionresnet_v2

ResNet Version 2 Model builder [b] Stacks of (1 x 1)-(3 x 3)-(1 x 1) BN-ReLU-Conv2D or also known as bottleneck layer First shortcut conn

Functionschedule

Functionsen2LCZ_drop

# Arguments # Returns model (Model): Keras model instance

Functionstep_decay_schedule

Wrapper function to create a LearningRateScheduler with step decay schedule.