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Functions47 in github.com/Colin97/DeepMetaHandles

⨍ Functions 47 ◇ Types & classes 12

↓ 8 callersMethodcross

data_preprocessing/sample_surface_points.cpp:55

↓ 8 callersFunctionlog_string

src/train.py:74

↓ 6 callersFunctionadd

data_preprocessing/sample_key_points.cpp:24

↓ 5 callersMethodlength

data_preprocessing/sample_surface_points.cpp:36

↓ 2 callersMethod__init__

(self, channel)

src/pointnet_utils.py:8

↓ 2 callersFunction_handle_pointcloud_input

If points is an instance of Pointclouds, retrieve the padded points tensor along with the number of points per batch and the padded normals.

src/losses.py:61

↓ 2 callersFunctionbn_momentum_adjust

src/utils.py:21

↓ 2 callersFunctionchamfer_distance

Chamfer distance between two pointclouds x and y. Args: x: FloatTensor of shape (N, P1, D) or a Pointclouds object representing

src/losses.py:99

↓ 2 callersFunctionload_txt

data_preprocessing/merge_data/merge_weight.py:8

↓ 2 callersFunctionrender_mesh

src/render.py:15

↓ 2 callersFunctiontriangle_area

src/losses.py:8

↓ 1 callersMethod__init__

(self, num_basis)

src/network.py:35

↓ 1 callersFunction_validate_chamfer_reduction_inputs

Check the requested reductions are valid. Args: batch_reduction: Reduction operation to apply for the loss across the batch,

src/losses.py:45

↓ 1 callersFunctionlaplacian_cot

Returns the Laplacian matrix with cotangent weights and the inverse of the face areas. Args: meshes: Meshes object with a batch

src/laplacian.py:46

↓ 1 callersFunctionlaplacian_loss

(src_meshes, def_meshes)

src/losses.py:42

↓ 1 callersFunctionmesh_laplacian

(meshes, def_meshes, method: str = "cot")

src/laplacian.py:3

↓ 1 callersFunctionnormal_loss

(src_meshes, def_meshes)

src/losses.py:15

↓ 1 callersFunctionparse_args

src/train.py:21

↓ 1 callersFunctionparse_args

src/demo_meta_handle.py:8

↓ 1 callersFunctionparse_args

src/demo_target_driven_deform.py:8

↓ 1 callersFunctionrandomPointTriangle

data_preprocessing/sample_surface_points.cpp:69

↓ 1 callersFunctionspfa

data_preprocessing/sample_key_points.cpp:36

data_preprocessing/sample_surface_points.cpp:14

Method__getitem__

src/datasets.py:86

src/network.py:8

(self, phase="train", data_dir="../data/chair")

src/datasets.py:46

src/pointnet_utils.py:45

src/pointnet_utils.py:84

src/datasets.py:83

data_preprocessing/sample_surface_points.cpp:50

src/network.py:25

(self, src_pc, tar_pc, key_pts, w_pc)

src/network.py:92

src/pointnet_utils.py:24

src/pointnet_utils.py:63

(self, point_cloud, return_global)

src/pointnet_utils.py:100

data_preprocessing/sample_surface_points.cpp:84

data_preprocessing/calc_weight.cpp:18

data_preprocessing/normalize.cpp:12

data_preprocessing/sample_key_points.cpp:58

Functionmy_collate

src/datasets.py:6

Methodnormalize

data_preprocessing/sample_surface_points.cpp:41

Methodoperator*

data_preprocessing/sample_surface_points.cpp:31

Methodoperator+

data_preprocessing/sample_surface_points.cpp:26

Methodoperator-

data_preprocessing/sample_surface_points.cpp:21

data_preprocessing/sample_surface_points.cpp:63

Functionweights_init

Functionweights_init1

src/utils.py:13