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Types & classes106 in github.com/LiBingyu01/StitchFusion

⨍ Functions 314◇ Types & classes 106
↓ 10 callersClassDropPath
Drop paths (Stochastic Depth) per sample (when applied in main path of residual blocks). Copied from timm This is the same as the DropConnect
semseg/models/layers/common.py:14
↓ 9 callersClassMetrics
semseg/metrics.py:6
↓ 6 callersClassBi_direct_adapter
stitchfusion_with_tips_you_can_copy.py:62
↓ 6 callersClassBi_direct_adapter
semseg/models/backbones/stitchfusion.py:62
↓ 5 callersClassMLP
stitchfusion_with_tips_you_can_copy.py:9
↓ 5 callersClassMLP
semseg/models/backbones/stitchfusion.py:9
↓ 4 callersClassAttention
stitchfusion_with_tips_you_can_copy.py:91
↓ 4 callersClassAttention
semseg/models/backbones/stitchfusion.py:91
↓ 4 callersClassChannelAttentionBlock
stitchfusion_with_tips_you_can_copy.py:137
↓ 4 callersClassChannelAttentionBlock
semseg/models/backbones/stitchfusion.py:137
↓ 4 callersClassChannelProcessing
stitchfusion_with_tips_you_can_copy.py:243
↓ 4 callersClassChannelProcessing
semseg/models/backbones/stitchfusion.py:243
↓ 4 callersClassCompose
semseg/augmentations.py:9
↓ 4 callersClassMixFFN
stitchfusion_with_tips_you_can_copy.py:161
↓ 4 callersClassMixFFN
semseg/models/backbones/stitchfusion.py:161
↓ 3 callersClassCompose
semseg/augmentations_mm.py:9
↓ 3 callersClassCustomDWConv
stitchfusion_with_tips_you_can_copy.py:32
↓ 3 callersClassCustomDWConv
semseg/models/backbones/stitchfusion.py:32
↓ 3 callersClassDELIVER
num_classes: 25
semseg/datasets/DELIVER.py:16
↓ 3 callersClassNormalize
semseg/augmentations.py:25
↓ 3 callersClassNormalize
semseg/augmentations_mm.py:26
↓ 3 callersClassRandomResizedCrop
semseg/augmentations.py:291
↓ 2 callersClassCustomPWConv
stitchfusion_with_tips_you_can_copy.py:47
↓ 2 callersClassCustomPWConv
semseg/models/backbones/stitchfusion.py:47
↓ 2 callersClassDice
semseg/losses.py:47
↓ 2 callersClassFeatureCross
stitchfusion_with_tips_you_can_copy.py:185
↓ 2 callersClassNormalize
Normalize a tensor image with mean and standard deviation. Args: mean (tuple): means for each channel. std (tuple): standard devia
semseg/datasets/mcubes.py:155
↓ 2 callersClassRandomHorizontalFlip
semseg/augmentations_mm.py:108
↓ 2 callersClassRandomResizedCrop
semseg/augmentations_mm.py:315
↓ 2 callersClassResize
semseg/augmentations_mm.py:278
↓ 2 callersClassToTensor
Convert ndarrays in sample to Tensors.
semseg/datasets/mcubes.py:188
↓ 2 callersClassWarmupPolyLR
semseg/schedulers.py:45
↓ 1 callersClassBlock_every_one
semseg/models/backbones/stitchfusion.py:287
↓ 1 callersClassBlock_every_one_2
stitchfusion_with_tips_you_can_copy.py:334
↓ 1 callersClassConvModule
semseg/models/heads/segformer.py:18
↓ 1 callersClassDWConv
stitchfusion_with_tips_you_can_copy.py:20
↓ 1 callersClassDWConv
semseg/models/backbones/stitchfusion.py:20
↓ 1 callersClassFeatureCross
semseg/models/backbones/stitchfusion.py:185
↓ 1 callersClassFixScaleCrop
semseg/datasets/mcubes.py:391
↓ 1 callersClassKITTI360
num_classes: 19
semseg/datasets/kitti360.py:15
↓ 1 callersClassMCubeS
num_classes: 20
semseg/datasets/mcubes.py:19
↓ 1 callersClassMFNet
num_classes: 9
semseg/datasets/MFNet.py:15
↓ 1 callersClassMLP
semseg/models/heads/segformer.py:7
↓ 1 callersClassPatchEmbed
stitchfusion_with_tips_you_can_copy.py:123
↓ 1 callersClassPatchEmbed
semseg/models/backbones/stitchfusion.py:123
↓ 1 callersClassPolyLR
semseg/schedulers.py:6
↓ 1 callersClassRandomColorJitter
semseg/augmentations_mm.py:46
↓ 1 callersClassRandomGaussianBlur
semseg/augmentations_mm.py:96
↓ 1 callersClassRandomGaussianBlur
semseg/datasets/mcubes.py:270
↓ 1 callersClassRandomHorizontalFlip
semseg/augmentations.py:102
↓ 1 callersClassRandomHorizontalFlip
semseg/datasets/mcubes.py:235
↓ 1 callersClassRandomScaleCrop
semseg/datasets/mcubes.py:292
↓ 1 callersClassResize
semseg/augmentations.py:265
↓ 1 callersClassSegFormerHead
semseg/models/heads/segformer.py:28
↓ 1 callersClassSemSeg
getting_start/infer_mm.py:23
↓ 1 callersClassUrbanLF
num_classes: 14
semseg/datasets/urbanlf.py:16
↓ 1 callersClassWarmupCosineLR
semseg/schedulers.py:70
↓ 1 callersClassstitchfusion
stitchfusion_with_tips_you_can_copy.py:482
↓ 1 callersClassstitchfusion
semseg/models/stitchfusion.py:7
↓ 1 callersClassstitchfusion
semseg/models/backbones/stitchfusion.py:484
ClassAdjustGamma
semseg/augmentations.py:56
ClassAdjustGamma
semseg/augmentations_mm.py:61
ClassAffine
semseg/augmentations.py:145
ClassAffine
semseg/augmentations_mm.py:153
ClassBaseModel
semseg/models/base.py:37
ClassBlock
stitchfusion_with_tips_you_can_copy.py:454
ClassBlock
semseg/models/backbones/stitchfusion.py:410
ClassBlock_every_one_1
stitchfusion_with_tips_you_can_copy.py:288
ClassBlock_every_two
stitchfusion_with_tips_you_can_copy.py:398
ClassBlock_every_two
semseg/models/backbones/stitchfusion.py:354
ClassBlock_shared
semseg/models/backbones/stitchfusion.py:437
ClassCenterCrop
semseg/augmentations.py:182
ClassCenterCrop
semseg/augmentations_mm.py:195
ClassColorJitter
semseg/augmentations.py:37
ClassConvModule
semseg/models/layers/common.py:5
ClassCrossEntropy
semseg/losses.py:6
ClassEqualize
semseg/augmentations.py:132
ClassEqualize
semseg/augmentations_mm.py:140
ClassFMB
num_classes: 14
semseg/datasets/fmb.py:16
ClassFeatureConc
stitchfusion_with_tips_you_can_copy.py:222
ClassFeatureConc
semseg/models/backbones/stitchfusion.py:222
ClassNYUDepthv2
num_classes: 40
semseg/datasets/nyu.py:16
ClassOhemCrossEntropy
semseg/losses.py:22
ClassPST
num_classes: 5
semseg/datasets/pst.py:16
ClassPad
semseg/augmentations.py:221
ClassPad
semseg/augmentations_mm.py:234
ClassPosterize
semseg/augmentations.py:137
ClassPosterize
semseg/augmentations_mm.py:145
ClassRandomAdjustSharpness
semseg/augmentations.py:70
ClassRandomAdjustSharpness
semseg/augmentations_mm.py:75
ClassRandomAutoContrast
semseg/augmentations.py:81
ClassRandomAutoContrast
semseg/augmentations_mm.py:86
ClassRandomCrop
semseg/augmentations.py:195
ClassRandomCrop
semseg/augmentations_mm.py:208
ClassRandomGaussianBlur
semseg/augmentations.py:91
ClassRandomGrayscale
semseg/augmentations.py:122
ClassRandomGrayscale
semseg/augmentations_mm.py:130
ClassRandomRotation
semseg/augmentations.py:157
ClassRandomRotation
semseg/augmentations_mm.py:165
ClassRandomVerticalFlip
semseg/augmentations.py:112
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