Types & classes — github.com/WenjiaWang0312/TextZoom

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Types & classes87 in github.com/WenjiaWang0312/TextZoom

⨍ Functions 304◇ Types & classes 87

↓ 8 callersClassSTNHead

src/model/recognizer/stn_head.py:26

↓ 7 callersClassTPSSpatialTransformer

src/model/recognizer/tps_spatial_transformer.py:57

↓ 5 callersClassResidualBlock

src/model/srresnet.py:69

↓ 4 callersClassresizeNormalize

src/dataset/dataset.py:136

↓ 3 callersClassAttention

src/model/moran/asrn_res.py:67

↓ 3 callersClassRDB

src/model/rdn.py:35

↓ 3 callersClassResidualDenseBlock_5C

src/model/esrgan.py:16

↓ 3 callersClassResidualDenseBlock_5C

src/model/rrdb.py:15

↓ 2 callersClassAsterBlock

src/model/recognizer/resnet_aster.py:37

↓ 2 callersClassAsterInfo

src/interfaces/base.py:319

↓ 2 callersClassBidirectionalLSTM

src/model/crnn/crnn.py:4

↓ 2 callersClassBidirectionalLSTM

src/model/moran/asrn_res.py:9

↓ 2 callersClassGruBlock

src/model/net.py:121

↓ 2 callersClassGruBlock

src/model/tsrn.py:127

↓ 2 callersClassMeanShift

src/model/edsr.py:7

↓ 2 callersClassResNet_ASTER

For aster or crnn

src/model/recognizer/resnet_aster.py:64

↓ 2 callersClassResidual_block

src/model/moran/asrn_res.py:157

↓ 2 callersClassSubDiscriminator

src/model/rrdb.py:102

↓ 2 callersClassmish

src/model/net.py:110

↓ 2 callersClassmish

src/model/tsrn.py:116

↓ 2 callersClassresizeNormalize

src/dataset/voc_data.py:66

↓ 1 callersClassASRN

src/model/moran/asrn_res.py:214

↓ 1 callersClassAttentionCell

src/model/moran/asrn_res.py:27

↓ 1 callersClassAttentionRecognitionHead

input: [b x 16 x 64 x in_planes] output: probability sequence: [b x T x num_classes]

src/model/recognizer/attention_recognition_head.py:11

↓ 1 callersClassAttentionUnit

src/model/attention_recognition_head.py:185

↓ 1 callersClassAttentionUnit

src/model/recognizer/attention_recognition_head.py:187

↓ 1 callersClassDecoderUnit

src/model/attention_recognition_head.py:229

↓ 1 callersClassDecoderUnit

src/model/recognizer/attention_recognition_head.py:234

↓ 1 callersClassGeneratorLoss

src/loss/percptual_loss.py:7

↓ 1 callersClassGradientPriorLoss

src/loss/image_loss.py:28

↓ 1 callersClassMORN

src/model/moran/morn.py:6

↓ 1 callersClassRecurrentResidualBlock

src/model/net.py:70

↓ 1 callersClassRecurrentResidualBlock

src/model/tsrn.py:76

↓ 1 callersClassResNet

src/model/moran/asrn_res.py:188

↓ 1 callersClassSequenceCrossEntropyLoss

src/model/recognizer/sequenceCrossEntropyLoss.py:19

↓ 1 callersClassTVLoss

src/loss/percptual_loss.py:30

↓ 1 callersClassTextSR

src/interfaces/super_resolution.py:28

↓ 1 callersClassUpsampleBLock

src/model/net.py:94

↓ 1 callersClassUpsampleBLock

src/model/srresnet.py:88

↓ 1 callersClassUpsampleBLock

src/model/tsrn.py:100

↓ 1 callersClassfracPickup

src/model/moran/fracPickup.py:7

↓ 1 callersClassmake_dense

src/model/rdn.py:22

↓ 1 callersClassstrLabelConverter

Convert between str and label. NOTE: Insert `blank` to the alphabet for CTC. Args: alphabet (str): set of the possible chara

src/utils/util.py:27

↓ 1 callersClasssub_pixel

src/model/rdn.py:10

ClassAttentionRecognitionHead

input: [b x 16 x 64 x in_planes] output: probability sequence: [b x T x num_classes]

src/model/attention_recognition_head.py:11

ClassAverageMeter

Computes and stores the average and current value

src/utils/meters.py:4

src/model/bicubic.py:6

src/model/crnn/crnn.py:23

ClassConcatDataset

Dataset to concatenate multiple datasets. Purpose: useful to assemble different existing datasets, possibly large-scale datasets as the c

src/dataset/dataset.py:273

ClassConv_ReLU_Block

src/model/vdsr.py:11

ClassDiscriminator

src/model/srresnet.py:102

ClassDiscriminator

src/model/rrdb.py:139

src/model/edsr.py:35

ClassGradientPriorLoss

src/loss/gradient_loss.py:10

src/loss/image_loss.py:10

ClassL1_Charbonnier_loss

L1 Charbonnierloss.

src/model/lapsrn.py:126

src/model/lapsrn.py:57

src/model/moran/moran.py:6

src/model/rdn.py:54

Residual in Residual Dense Block

src/model/esrgan.py:39

Residual in Residual Dense Block

src/model/rrdb.py:38

src/model/esrgan.py:55

src/model/rrdb.py:54

ClassRecognizerBuilder

This is the integrated model.

src/model/recognizer/recognizer_builder.py:27

src/model/srcnn.py:18

src/model/srresnet.py:13

src/utils/ssim_psnr.py:53

ClassSubDiscriminator

src/model/esrgan.py:107

src/model/tsrn.py:17

src/interfaces/base.py:32

src/model/net.py:18

src/model/vdsr.py:21

Class_Conv_Block

src/model/lapsrn.py:23

Class_Residual_Block

src/model/edsr.py:18

ClassalignCollate

src/dataset/voc_data.py:82

ClassalignCollate_real

src/dataset/dataset.py:257

ClassalignCollate_syn

src/dataset/dataset.py:231

Compute average for `torch.Variable` and `torch.Tensor`.

src/utils/utils_moran.py:109

Compute average for `torch.Variable` and `torch.Tensor`.

src/utils/utils_crnn.py:92

Compute average for `torch.Variable` and `torch.Tensor`.

src/utils/util.py:108

ClasslmdbDataset

src/dataset/dataset.py:50

ClasslmdbDataset_mix

src/dataset/dataset.py:155

ClasslmdbDataset_real

src/dataset/dataset.py:94

src/dataset/voc_data.py:47

ClassrandomSequentialSampler

src/dataset/dataset.py:205

ClassstrLabelConverter

Convert between str and label. NOTE: Insert `blank` to the alphabet for CTC. Args: alphabet (str): set of the possible chara

src/utils/utils_crnn.py:10

ClassstrLabelConverterForAttention

Convert between str and label. NOTE: Insert `EOS` to the alphabet for attention. Args: alphabet (str): set of the possible c

src/utils/utils_moran.py:6