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hub / github.com/XiandaGuo/OpenStereo / types & classes

Types & classes655 in github.com/XiandaGuo/OpenStereo

↓ 58 callersClassMish
stereo/modeling/models/cfnet/submodule.py:99
↓ 45 callersClassConv2x_now
stereo/modeling/models/monster/refinement.py:16
↓ 37 callersClassBasicConv2d
stereo/modeling/common/basic_block_2d.py:6
↓ 30 callersClassBasicConv
stereo/modeling/models/igevpp/submodule.py:8
↓ 27 callersClassBasicConv3d
stereo/modeling/common/basic_block_3d.py:5
↓ 24 callersClassBasicConv_now
stereo/modeling/models/monster/refinement.py:55
↓ 22 callersClassBasicConv
stereo/modeling/models/igev_rt/submodule.py:9
↓ 21 callersClassBasicConv
stereo/modeling/models/igev/submodule.py:6
↓ 21 callersClassBasicConv
stereo/modeling/models/monster/submodule.py:9
↓ 20 callersClassBasicConv
stereo/modeling/models/coex/submodule.py:43
↓ 18 callersClassConvGRU
stereo/modeling/models/monster/update.py:25
↓ 18 callersClassResBlock
stereo/modeling/models/fadnet/submodule.py:350
↓ 17 callersClassBasicConv
stereo/modeling/models/foundationstereo/core/submodule.py:49
↓ 16 callersClassMobileV2_Residual
stereo/modeling/models/msnet/submodule.py:94
↓ 15 callersClassBasicConv
stereo/modeling/models/fast_foundationstereo/core/submodule.py:48
↓ 15 callersClassConvModule
A conv block that bundles conv/norm/activation layers. This block simplifies the usage of convolution layers, which are commonly used with a
stereo/modeling/models/foundationstereo/dinov2/hub/depth/decode_heads.py:299
↓ 11 callersClassBasicConv_IN
stereo/modeling/models/monster/submodule.py:80
↓ 10 callersClassFeatureAtt
stereo/modeling/models/stereobase/igev_blocks.py:35
↓ 10 callersClassMobileV2_Residual_3D
stereo/modeling/models/msnet/submodule.py:136
↓ 9 callersClassBasicBlock
stereo/modeling/models/iinet/layers.py:26
↓ 9 callersClassBasicConv_IN
stereo/modeling/models/igev_rt/submodule.py:80
↓ 9 callersClassBasicConv_IN
stereo/modeling/models/igev/submodule.py:82
↓ 9 callersClassConv3dNormActReduced
stereo/modeling/models/fast_foundationstereo/core/submodule.py:90
↓ 9 callersClassConv3dNormActReduced
stereo/modeling/models/foundationstereo/core/submodule.py:87
↓ 8 callersClassResidualBlock
stereo/modeling/models/foundationstereo/core/extractor.py:18
↓ 7 callersClassDropPath
Drop paths (Stochastic Depth) per sample (when applied in main path of residual blocks).
stereo/modeling/models/foundationstereo/dinov2/layers/drop_path.py:26
↓ 7 callersClassMobileV2Residual
stereo/modeling/models/lightstereo/aggregation.py:65
↓ 6 callersClassBasicDeconv3d
stereo/modeling/common/basic_block_3d.py:23
↓ 6 callersClassDispHead
stereo/modeling/models/monster/update.py:15
↓ 6 callersClassFeatureAtt
stereo/modeling/models/fast_foundationstereo/core/submodule.py:513
↓ 6 callersClassFeatureAtt
stereo/modeling/models/igev/submodule.py:237
↓ 6 callersClassFeatureAtt
stereo/modeling/models/foundationstereo/core/submodule.py:472
↓ 6 callersClassFeatureAtt
stereo/modeling/models/monster/submodule.py:226
↓ 6 callersClassFeatureAtt
stereo/modeling/models/igevpp/submodule.py:162
↓ 6 callersClassLayerNorm2d
r""" https://huggingface.co/spaces/Roll20/pet_score/blob/b258ef28152ab0d5b377d9142a23346f863c1526/lib/timm/models/convnext.py#L85 LayerNorm for ch
stereo/modeling/models/foundationstereo/core/submodule.py:27
↓ 6 callersClassMobileV2Residual
stereo/modeling/models/msnet/msnet_utils/msnet_blocks.py:7
↓ 6 callersClassResidualBlock
stereo/modeling/models/igev_rt/extractor.py:11
↓ 6 callersClassResidualBlock
stereo/modeling/models/igev/extractor.py:6
↓ 6 callersClassResidualBlock
stereo/modeling/models/monster/extractor.py:10
↓ 6 callersClassResidualBlock
stereo/modeling/models/igevpp/extractor.py:11
↓ 5 callersClassBasicConv_IN
stereo/modeling/models/foundationstereo/core/submodule.py:354
↓ 5 callersClassConv2x
stereo/modeling/models/igevpp/submodule.py:37
↓ 5 callersClassConv2xUp
stereo/modeling/models/stereobase/igev_blocks.py:10
↓ 5 callersClassCosineScheduler
stereo/modeling/models/foundationstereo/dinov2/utils/utils.py:67
↓ 5 callersClassFeatureAtt
stereo/modeling/models/igev_rt/submodule.py:226
↓ 5 callersClasshourglass
stereo/modeling/models/cfnet/cfnet.py:222
↓ 4 callersClassBasicConv_IN
stereo/modeling/models/fast_foundationstereo/core/submodule.py:300
↓ 4 callersClassConv2x
stereo/modeling/models/coex/submodule.py:73
↓ 4 callersClassConv2x_IN
stereo/modeling/models/igev_rt/submodule.py:109
↓ 4 callersClassConv2x_IN
stereo/modeling/models/igev/submodule.py:111
↓ 4 callersClassConv2x_IN
stereo/modeling/models/monster/submodule.py:109
↓ 4 callersClassDinoVisionTransformer
stereo/modeling/models/foundationstereo/dinov2/models/vision_transformer.py:44
↓ 4 callersClassDinoVisionTransformer
stereo/modeling/models/monster/depth_anything_v2/dinov2.py:44
↓ 4 callersClassExtractor
stereo/modeling/models/foundationstereo/dinov2/eval/segmentation_m2f/models/backbones/adapter_modules.py:88
↓ 4 callersClassFPNLayer
stereo/modeling/models/lightstereo/backbone.py:11
↓ 4 callersClassFeatureAtt
stereo/modeling/models/monster/refinement.py:82
↓ 4 callersClassLinearWarmup
Linear warmup schedule. Author: Qian Zhou Arguments: optimizer (Optimizer): an instance of a subclass of Optimizer warmup_peri
stereo/utils/warmup.py:83
↓ 4 callersClassMetricLogger
stereo/modeling/models/foundationstereo/dinov2/logging/helpers.py:20
↓ 4 callersClassResBlock
stereo/modeling/backbones/fadnet.py:7
↓ 4 callersClassResidualBlock
stereo/modeling/disp_refinement/gru_blocks.py:8
↓ 4 callersClassResidualBlock
stereo/modeling/models/stereobase/gru_blocks.py:8
↓ 4 callersClassautocast
stereo/modeling/models/igevpp/igevpp_stereo.py:14
↓ 3 callersClassAttentionModule
stereo/modeling/models/lightstereo/aggregation.py:104
↓ 3 callersClassBasicDeconv2d
stereo/modeling/common/basic_block_2d.py:24
↓ 3 callersClassConv2x_IN
stereo/modeling/models/fast_foundationstereo/core/submodule.py:335
↓ 3 callersClassConv2x_IN
stereo/modeling/models/foundationstereo/core/submodule.py:383
↓ 3 callersClassConvGRU
stereo/modeling/disp_refinement/gru_blocks.py:254
↓ 3 callersClassConvGRU
stereo/modeling/models/stereobase/gru_blocks.py:254
↓ 3 callersClassConvGRU
stereo/modeling/models/igev/update.py:28
↓ 3 callersClassConvGRU
stereo/modeling/models/igevpp/update.py:25
↓ 3 callersClassGaussianBlur
Apply Gaussian Blur to the PIL image.
stereo/modeling/models/foundationstereo/dinov2/data/transforms.py:12
↓ 3 callersClassGeoEncoder
stereo/modeling/models/igevpp/update.py:72
↓ 3 callersClassHourglass
stereo/modeling/models/gwcnet/hourglass.py:19
↓ 3 callersClassHourglass
An implementation of hourglass module proposed in PSMNet. Args: in_planes (int): the channels of raw cost volume batch_norm (
stereo/modeling/models/psmnet/psmnet_cost_processor.py:53
↓ 3 callersClassMLP
Very simple multi-layer perception (also called FFN)
stereo/modeling/models/nmrf/NMP.py:54
↓ 3 callersClassMlp
stereo/modeling/models/foundationstereo/dinov2/layers/mlp.py:16
↓ 3 callersClassModuleDictWithForward
stereo/modeling/models/foundationstereo/dinov2/eval/knn.py:240
↓ 3 callersClassResnetBasicBlock3D
stereo/modeling/models/fast_foundationstereo/core/submodule.py:158
↓ 3 callersClassResnetBasicBlock3D
stereo/modeling/models/foundationstereo/core/submodule.py:157
↓ 3 callersClassSelectiveConvGRU
stereo/modeling/models/foundationstereo/core/update.py:96
↓ 3 callersClassautocast
stereo/modeling/models/igev_rt/igev_rt_stereo.py:13
↓ 3 callersClassautocast
stereo/modeling/models/foundationstereo/core/foundation_stereo.py:25
↓ 3 callersClasschannelAtt
stereo/modeling/models/coex/coex_cost_processor.py:68
↓ 3 callersClasshourglass
stereo/modeling/models/casnet/cas_gwc.py:6
↓ 3 callersClasshourglass
stereo/modeling/models/casnet/cas_psm.py:6
↓ 3 callersClasshourglass
stereo/modeling/models/igevpp/igevpp_stereo.py:22
↓ 3 callersClasshourglass2D
stereo/modeling/models/msnet/MSNet2D.py:10
↓ 3 callersClasshourglass3D
stereo/modeling/models/msnet/MSNet3D.py:10
↓ 2 callersClassAssignResult
Collection of assign results.
stereo/modeling/models/foundationstereo/dinov2/eval/segmentation_m2f/models/utils/assigner.py:18
↓ 2 callersClassBasicBlock
stereo/modeling/backbones/psmnet_backbone.py:10
↓ 2 callersClassBasicBlock
stereo/modeling/disp_refinement/disp_refinement.py:10
↓ 2 callersClassBasicMultiUpdateBlock_mix2
stereo/modeling/models/monster/update.py:484
↓ 2 callersClassCenterPadding
stereo/modeling/models/foundationstereo/dinov2/hub/utils.py:23
↓ 2 callersClassCombined_Geo_Encoding_Volume
stereo/modeling/models/fast_foundationstereo/core/geometry.py:8
↓ 2 callersClassCompose
stereo/datasets/dataset_utils/stereo_trans.py:12
↓ 2 callersClassConvBNReLU3d
stereo/modeling/models/coex/submodule.py:217
↓ 2 callersClassCriterion
This class computes the loss for disparity proposal extraction. The process happens in two steps: 1) we compute a one-to-one matching bet
stereo/modeling/models/nmrf/NMRF.py:309
↓ 2 callersClassDPN
Disparity proposal seed extraction network. Args: cost_group (int): group number of groupwise cost volume num_proposals (int): nu
stereo/modeling/models/nmrf/DPN.py:11
↓ 2 callersClassDatasetEvaluators
Wrapper class to combine multiple :class:`DatasetEvaluator` instances. This class dispatches every evaluation call to all of its :class:
stereo/modeling/models/nmrf/utils/evaluation.py:129
↓ 2 callersClassDeformConv2d
A single (modulated) deformable conv layer
stereo/modeling/models/aanet/submodule.py:197
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