Types & classes — github.com/ShuweiShao/AF-SfMLearner

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Types & classes32 in github.com/ShuweiShao/AF-SfMLearner

⨍ Functions 158◇ Types & classes 32

↓ 8 callersClassConvBlock

Layer to perform a convolution followed by ELU

↓ 5 callersClassMonodepthOptions

↓ 4 callersClassConv3x3

Layer to pad and convolve input

↓ 3 callersClassSSIM

Layer to compute the SSIM loss between a pair of images

↓ 3 callersClassSpatialTransformer

↓ 2 callersClassBackprojectDepth

Layer to transform a depth image into a point cloud

↓ 2 callersClassProject3D

Layer which projects 3D points into a camera with intrinsics K and at position T

↓ 2 callersClassget_occu_mask_backward

↓ 2 callersClassget_occu_mask_bidirection

↓ 2 callersClassoptical_flow

↓ 1 callersClassChannelSpatialSELayer

networks/depth_decoder_ICRA.py:194

↓ 1 callersClassResNetMultiImageInput

Constructs a resnet model with varying number of input images. Adapted from https://github.com/pytorch/vision/blob/master/torchvision/models/resne

networks/resnet_encoder.py:11

↓ 1 callersClassSCAREDRAWDataset

datasets/scared_dataset.py:37

↓ 1 callersClassSPPSELayer

networks/depth_decoder_ICRA.py:97

↓ 1 callersClassSpatialSELayer

networks/depth_decoder_ICRA.py:122

↓ 1 callersClassTrainer

trainer_stage_one.py:16

↓ 1 callersClassTrainer

trainer_stage_two.py:17

↓ 1 callersClassTrainer

trainer_end_to_end.py:17

ClassChannelSELayer

networks/depth_decoder_ICRA.py:69

ClassDepthDecoder

networks/depth_decoder.py:17

ClassDepthDecoder

networks/depth_decoder_ICRA.py:12

ClassMonoDataset

Superclass for monocular dataloaders Args: data_path filenames height width frame_idxs num_scales

datasets/mono_dataset.py:24

networks/pose_cnn.py:7

ClassPoseDecoder

networks/pose_decoder.py:8

ClassPositionDecoder

networks/optical_flow_decoder.py:12

ClassProject3D_Raw

Layer which projects 3D points into a camera with intrinsics K and at position T

ClassResnetEncoder

Pytorch module for a resnet encoder

networks/resnet_encoder.py:56

ClassSCAREDDataset

datasets/scared_dataset.py:12

ClassTransformDecoder

networks/appearance_flow_decoder.py:11

Classreduced_ransac