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Functions160 in github.com/42dot/VFDepth

⨍ Functions 160◇ Types & classes 19

↓ 1 callersMethodsave_model

models/base_model.py:45

↓ 1 callersMethodset_depthnet

models/vfdepth.py:79

↓ 1 callersMethodset_eval_dataloader

models/vfdepth.py:153

↓ 1 callersMethodset_optimizer

models/vfdepth.py:175

↓ 1 callersMethodset_posenet

models/vfdepth.py:73

↓ 1 callersMethodset_train_dataloader

(self, cfg, rank)

models/vfdepth.py:97

↓ 1 callersMethodset_val_dataloader

models/vfdepth.py:131

↓ 1 callersFunctionsetup_env

utils/__init__.py:16

↓ 1 callersFunctiontest

↓ 1 callersFunctiontrain

↓ 1 callersMethodtrain_dataloader

models/base_model.py:26

↓ 1 callersMethodtype_check

This function checks the type of the tensor, so that all the parameters share same device and dtype.

network/volumetric_fusionnet.py:105

↓ 1 callersFunctionupsample

This function upsamples input tensor by a factor of 2

network/blocks.py:34

↓ 1 callersMethodval_dataloader

models/base_model.py:29

↓ 1 callersMethodvalidate

This function validates models on validation dataset to monitor training process.

trainer/vfdepth_trainer.py:93

↓ 1 callersFunctionvec_to_matrix

This function transforms rotation angle and translation vector into 4x4 matrix.

models/geometry/geometry_util.py:8

Method__getitem__

dataset/ddad_dataset_sf.py:85

Method__getitem__

dataset/nuscenes_dataset.py:223

(self, cfg, use_tb=True)

utils/logger.py:66

(self, *args, with_mask, scale_range, **kwargs)

dataset/ddad_dataset_sf.py:17

(self, path, split, cameras=None, back_context=0, forward_c

dataset/nuscenes_dataset.py:21

network/fusion_posenet.py:16

(self, cfg, feat_in_dim, feat_out_dim, model='depth')

network/volumetric_fusionnet.py:15

network/fusion_depthnet.py:18

network/mono_depthnet.py:12

network/mono_posenet.py:13

(self, cfg, rank, use_tb=True)

trainer/vfdepth_trainer.py:16

models/base_model.py:9

(self, cfg, rank)

models/vfdepth.py:24

(self, cfg, rank)

models/geometry/view_rendering.py:13

models/geometry/pose.py:11

(self, batch_size, height, width, device)

models/geometry/geometry_util.py:37

(self, cfg, rank)

models/losses/single_cam_loss.py:14

(self, cfg, rank)

models/losses/base_loss.py:9

(self, cfg, rank)

models/losses/multi_cam_loss.py:13

(self, cfg, rank)

models/losses/depth_synthesis_loss.py:12

dataset/nuscenes_dataset.py:220

Method_get_proj_feat

(inv_K, ang_x, ang_y, ang_z)

network/volumetric_fusionnet.py:321

Functionclear_ddp

This function clears ddp training.

utils/ddp.py:32

(self, inputs, frame_ids, _)

network/fusion_posenet.py:42

(self, inputs, feats_agg)

network/volumetric_fusionnet.py:289

network/fusion_depthnet.py:43

(self, input_features)

network/fusion_depthnet.py:131

(self, input_images)

network/mono_depthnet.py:22

(self, inputs, frame_ids, cam)

network/mono_posenet.py:24

(self, inputs, outputs, cam, rel_pose_dict)

models/geometry/view_rendering.py:118

(self, depth, T, bp_invK, rp_K)

models/geometry/geometry_util.py:79

(self, inputs, outputs, cam)

models/losses/single_cam_loss.py:67

(self, *args, **kwargs)

models/losses/base_loss.py:45

(self, inputs, outputs, cam)

models/losses/multi_cam_loss.py:94

(self, inputs, outputs, cam)

models/losses/depth_synthesis_loss.py:47

Functionget_config

This function reads the configuration file and return as dictionary

utils/misc.py:44

Functionimg_loader

This function loads rgb image.

dataset/data_util.py:27

Functionmask_loader_scene

This function loads mask that correspondes to the scene and camera.

dataset/data_util.py:36

Methodprepare_dataset

models/base_model.py:20

Methodread_config

models/base_model.py:17

Methodset_optimizer

models/base_model.py:23

Functionsetup_ddp

This function sets distributed data parallel(ddp) module for mutli-gpu training.

utils/ddp.py:10

Functiontest_ddp

Functiontrain_ddp

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