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github.com/XiandaGuo/OpenStereo
/ types & classes
Types & classes
655 in github.com/XiandaGuo/OpenStereo
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Functions
2,487
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Types & classes
655
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Endpoints
11
↓ 58 callers
Class
Mish
stereo/modeling/models/cfnet/submodule.py:99
↓ 45 callers
Class
Conv2x_now
stereo/modeling/models/monster/refinement.py:16
↓ 37 callers
Class
BasicConv2d
stereo/modeling/common/basic_block_2d.py:6
↓ 30 callers
Class
BasicConv
stereo/modeling/models/igevpp/submodule.py:8
↓ 27 callers
Class
BasicConv3d
stereo/modeling/common/basic_block_3d.py:5
↓ 24 callers
Class
BasicConv_now
stereo/modeling/models/monster/refinement.py:55
↓ 22 callers
Class
BasicConv
stereo/modeling/models/igev_rt/submodule.py:9
↓ 21 callers
Class
BasicConv
stereo/modeling/models/igev/submodule.py:6
↓ 21 callers
Class
BasicConv
stereo/modeling/models/monster/submodule.py:9
↓ 20 callers
Class
BasicConv
stereo/modeling/models/coex/submodule.py:43
↓ 18 callers
Class
ConvGRU
stereo/modeling/models/monster/update.py:25
↓ 18 callers
Class
ResBlock
stereo/modeling/models/fadnet/submodule.py:350
↓ 17 callers
Class
BasicConv
stereo/modeling/models/foundationstereo/core/submodule.py:49
↓ 16 callers
Class
MobileV2_Residual
stereo/modeling/models/msnet/submodule.py:94
↓ 15 callers
Class
BasicConv
stereo/modeling/models/fast_foundationstereo/core/submodule.py:48
↓ 15 callers
Class
ConvModule
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 callers
Class
BasicConv_IN
stereo/modeling/models/monster/submodule.py:80
↓ 10 callers
Class
FeatureAtt
stereo/modeling/models/stereobase/igev_blocks.py:35
↓ 10 callers
Class
MobileV2_Residual_3D
stereo/modeling/models/msnet/submodule.py:136
↓ 9 callers
Class
BasicBlock
stereo/modeling/models/iinet/layers.py:26
↓ 9 callers
Class
BasicConv_IN
stereo/modeling/models/igev_rt/submodule.py:80
↓ 9 callers
Class
BasicConv_IN
stereo/modeling/models/igev/submodule.py:82
↓ 9 callers
Class
Conv3dNormActReduced
stereo/modeling/models/fast_foundationstereo/core/submodule.py:90
↓ 9 callers
Class
Conv3dNormActReduced
stereo/modeling/models/foundationstereo/core/submodule.py:87
↓ 8 callers
Class
ResidualBlock
stereo/modeling/models/foundationstereo/core/extractor.py:18
↓ 7 callers
Class
DropPath
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 callers
Class
MobileV2Residual
stereo/modeling/models/lightstereo/aggregation.py:65
↓ 6 callers
Class
BasicDeconv3d
stereo/modeling/common/basic_block_3d.py:23
↓ 6 callers
Class
DispHead
stereo/modeling/models/monster/update.py:15
↓ 6 callers
Class
FeatureAtt
stereo/modeling/models/fast_foundationstereo/core/submodule.py:513
↓ 6 callers
Class
FeatureAtt
stereo/modeling/models/igev/submodule.py:237
↓ 6 callers
Class
FeatureAtt
stereo/modeling/models/foundationstereo/core/submodule.py:472
↓ 6 callers
Class
FeatureAtt
stereo/modeling/models/monster/submodule.py:226
↓ 6 callers
Class
FeatureAtt
stereo/modeling/models/igevpp/submodule.py:162
↓ 6 callers
Class
LayerNorm2d
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 callers
Class
MobileV2Residual
stereo/modeling/models/msnet/msnet_utils/msnet_blocks.py:7
↓ 6 callers
Class
ResidualBlock
stereo/modeling/models/igev_rt/extractor.py:11
↓ 6 callers
Class
ResidualBlock
stereo/modeling/models/igev/extractor.py:6
↓ 6 callers
Class
ResidualBlock
stereo/modeling/models/monster/extractor.py:10
↓ 6 callers
Class
ResidualBlock
stereo/modeling/models/igevpp/extractor.py:11
↓ 5 callers
Class
BasicConv_IN
stereo/modeling/models/foundationstereo/core/submodule.py:354
↓ 5 callers
Class
Conv2x
stereo/modeling/models/igevpp/submodule.py:37
↓ 5 callers
Class
Conv2xUp
stereo/modeling/models/stereobase/igev_blocks.py:10
↓ 5 callers
Class
CosineScheduler
stereo/modeling/models/foundationstereo/dinov2/utils/utils.py:67
↓ 5 callers
Class
FeatureAtt
stereo/modeling/models/igev_rt/submodule.py:226
↓ 5 callers
Class
hourglass
stereo/modeling/models/cfnet/cfnet.py:222
↓ 4 callers
Class
BasicConv_IN
stereo/modeling/models/fast_foundationstereo/core/submodule.py:300
↓ 4 callers
Class
Conv2x
stereo/modeling/models/coex/submodule.py:73
↓ 4 callers
Class
Conv2x_IN
stereo/modeling/models/igev_rt/submodule.py:109
↓ 4 callers
Class
Conv2x_IN
stereo/modeling/models/igev/submodule.py:111
↓ 4 callers
Class
Conv2x_IN
stereo/modeling/models/monster/submodule.py:109
↓ 4 callers
Class
DinoVisionTransformer
stereo/modeling/models/foundationstereo/dinov2/models/vision_transformer.py:44
↓ 4 callers
Class
DinoVisionTransformer
stereo/modeling/models/monster/depth_anything_v2/dinov2.py:44
↓ 4 callers
Class
Extractor
stereo/modeling/models/foundationstereo/dinov2/eval/segmentation_m2f/models/backbones/adapter_modules.py:88
↓ 4 callers
Class
FPNLayer
stereo/modeling/models/lightstereo/backbone.py:11
↓ 4 callers
Class
FeatureAtt
stereo/modeling/models/monster/refinement.py:82
↓ 4 callers
Class
LinearWarmup
Linear warmup schedule. Author: Qian Zhou Arguments: optimizer (Optimizer): an instance of a subclass of Optimizer warmup_peri
stereo/utils/warmup.py:83
↓ 4 callers
Class
MetricLogger
stereo/modeling/models/foundationstereo/dinov2/logging/helpers.py:20
↓ 4 callers
Class
ResBlock
stereo/modeling/backbones/fadnet.py:7
↓ 4 callers
Class
ResidualBlock
stereo/modeling/disp_refinement/gru_blocks.py:8
↓ 4 callers
Class
ResidualBlock
stereo/modeling/models/stereobase/gru_blocks.py:8
↓ 4 callers
Class
autocast
stereo/modeling/models/igevpp/igevpp_stereo.py:14
↓ 3 callers
Class
AttentionModule
stereo/modeling/models/lightstereo/aggregation.py:104
↓ 3 callers
Class
BasicDeconv2d
stereo/modeling/common/basic_block_2d.py:24
↓ 3 callers
Class
Conv2x_IN
stereo/modeling/models/fast_foundationstereo/core/submodule.py:335
↓ 3 callers
Class
Conv2x_IN
stereo/modeling/models/foundationstereo/core/submodule.py:383
↓ 3 callers
Class
ConvGRU
stereo/modeling/disp_refinement/gru_blocks.py:254
↓ 3 callers
Class
ConvGRU
stereo/modeling/models/stereobase/gru_blocks.py:254
↓ 3 callers
Class
ConvGRU
stereo/modeling/models/igev/update.py:28
↓ 3 callers
Class
ConvGRU
stereo/modeling/models/igevpp/update.py:25
↓ 3 callers
Class
GaussianBlur
Apply Gaussian Blur to the PIL image.
stereo/modeling/models/foundationstereo/dinov2/data/transforms.py:12
↓ 3 callers
Class
GeoEncoder
stereo/modeling/models/igevpp/update.py:72
↓ 3 callers
Class
Hourglass
stereo/modeling/models/gwcnet/hourglass.py:19
↓ 3 callers
Class
Hourglass
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 callers
Class
MLP
Very simple multi-layer perception (also called FFN)
stereo/modeling/models/nmrf/NMP.py:54
↓ 3 callers
Class
Mlp
stereo/modeling/models/foundationstereo/dinov2/layers/mlp.py:16
↓ 3 callers
Class
ModuleDictWithForward
stereo/modeling/models/foundationstereo/dinov2/eval/knn.py:240
↓ 3 callers
Class
ResnetBasicBlock3D
stereo/modeling/models/fast_foundationstereo/core/submodule.py:158
↓ 3 callers
Class
ResnetBasicBlock3D
stereo/modeling/models/foundationstereo/core/submodule.py:157
↓ 3 callers
Class
SelectiveConvGRU
stereo/modeling/models/foundationstereo/core/update.py:96
↓ 3 callers
Class
autocast
stereo/modeling/models/igev_rt/igev_rt_stereo.py:13
↓ 3 callers
Class
autocast
stereo/modeling/models/foundationstereo/core/foundation_stereo.py:25
↓ 3 callers
Class
channelAtt
stereo/modeling/models/coex/coex_cost_processor.py:68
↓ 3 callers
Class
hourglass
stereo/modeling/models/casnet/cas_gwc.py:6
↓ 3 callers
Class
hourglass
stereo/modeling/models/casnet/cas_psm.py:6
↓ 3 callers
Class
hourglass
stereo/modeling/models/igevpp/igevpp_stereo.py:22
↓ 3 callers
Class
hourglass2D
stereo/modeling/models/msnet/MSNet2D.py:10
↓ 3 callers
Class
hourglass3D
stereo/modeling/models/msnet/MSNet3D.py:10
↓ 2 callers
Class
AssignResult
Collection of assign results.
stereo/modeling/models/foundationstereo/dinov2/eval/segmentation_m2f/models/utils/assigner.py:18
↓ 2 callers
Class
BasicBlock
stereo/modeling/backbones/psmnet_backbone.py:10
↓ 2 callers
Class
BasicBlock
stereo/modeling/disp_refinement/disp_refinement.py:10
↓ 2 callers
Class
BasicMultiUpdateBlock_mix2
stereo/modeling/models/monster/update.py:484
↓ 2 callers
Class
CenterPadding
stereo/modeling/models/foundationstereo/dinov2/hub/utils.py:23
↓ 2 callers
Class
Combined_Geo_Encoding_Volume
stereo/modeling/models/fast_foundationstereo/core/geometry.py:8
↓ 2 callers
Class
Compose
stereo/datasets/dataset_utils/stereo_trans.py:12
↓ 2 callers
Class
ConvBNReLU3d
stereo/modeling/models/coex/submodule.py:217
↓ 2 callers
Class
Criterion
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 callers
Class
DPN
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 callers
Class
DatasetEvaluators
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 callers
Class
DeformConv2d
A single (modulated) deformable conv layer
stereo/modeling/models/aanet/submodule.py:197
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