Functions — github.com/cvlab-epfl/MeshSDF

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Functions92 in github.com/cvlab-epfl/MeshSDF

⨍ Functions 92 ◇ Types & classes 14

↓ 12 callersFunctionget_spec_with_default

(specs, key, default)

lib/utils.py:318

↓ 6 callersMethodget_learning_rate

(self, epoch)

lib/utils.py:125

↓ 5 callersFunctionsave_model

(experiment_directory, filename, decoder, epoch)

lib/utils.py:197

↓ 4 callersMethod_make_layer

(self, block, planes, blocks, stride=1)

lib/models/encoder.py:180

↓ 3 callersMethod__init__

(self, latent_size, depth, basicblock=False, norm_type="bin", inputchannels=4)

lib/models/encoder.py:135

↓ 3 callersFunctionsave_optimizer

(experiment_directory, filename, optimizer, epoch)

lib/utils.py:207

↓ 2 callersFunctioncompute_normal_consistency

This function computes a symmetric chamfer distance, i.e. the sum of both chamfers. gt_points: trimesh.points.PointCloud of just poins, samp

lib/utils.py:12

↓ 2 callersFunctionconv3x3

3x3 convolution with padding

lib/models/encoder.py:56

↓ 2 callersFunctionconvert_sdf_samples_to_mesh

Convert sdf samples to vertices,faces :param pytorch_3d_sdf_tensor: a torch.FloatTensor of shape (n,n,n) :voxel_grid_origin: a list of t

lib/mesh.py:79

↓ 2 callersFunctiondecode_sdf

(decoder, latent_vector, queries)

lib/utils.py:345

↓ 2 callersFunctionget_instance_filenames

(data_source, split)

lib/utils.py:351

↓ 2 callersFunctionget_learning_rate_schedules

(specs)

lib/utils.py:160

↓ 2 callersFunctionprocess_image

(images_out, alpha_out)

lib/utils.py:104

↓ 2 callersFunctionremove_nans

(tensor)

lib/utils.py:369

↓ 2 callersFunctionsave_logs

( experiment_directory, loss_sdf_log, loss_sdf_test_log, epoch, )

train_svr.py:16

↓ 2 callersFunctionstore_image

(image_filename, images_out, alpha_out)

lib/utils.py:110

↓ 2 callersFunctionunpack_sdf_samples

(filename, subsample=None)

lib/utils.py:374

↓ 1 callersMethod_check_input_dim

(self, input)

lib/models/encoder.py:46

↓ 1 callersFunctionadjust_learning_rate

(lr_schedules, optimizer, epoch)

train_deep_sdf.py:44

↓ 1 callersFunctionadjust_learning_rate

(lr_schedules, optimizer, epoch)

train_svr.py:113

↓ 1 callersFunctionbuild_decoder

(experiment_directory, experiment_specs)

lib/workspace.py:88

↓ 1 callersFunctionclip_logs

(loss_sdf_log,loss_regl_log,loss_sdf_test_log,loss_regl_test_log, lr_log, timing_log, lat_mag_log, param_mag_l

train_svr.py:49

↓ 1 callersFunctionconvert_sdf_samples_to_ply

Convert sdf samples to .ply :param pytorch_3d_sdf_tensor: a torch.FloatTensor of shape (n,n,n) :voxel_grid_origin: a list of three float

lib/mesh.py:13

↓ 1 callersFunctioncreate_mesh

( decoder, latent_vec, N=256, max_batch=32 ** 3, offset=None, scale=None, output_mesh = False, filename =

lib/mesh.py:120

↓ 1 callersMethoddepth_2_normal

(self, depth, depth_unvalid, cameras)

lib/utils.py:59

↓ 1 callersFunctionfourier_transform

(x, L=5)

lib/utils.py:338

↓ 1 callersFunctiongetBlenderProj

Calculate 4x3 3D to 2D projection matrix given viewpoint parameters.

lib/utils.py:440

↓ 1 callersFunctionget_camera_matrices

(metadata_filename, id)

lib/utils.py:496

↓ 1 callersFunctionget_mesh_filename

(reconstruction_dir, name)

lib/workspace.py:217

↓ 1 callersFunctionget_projection

Calculate 4x3 3D to 2D projection matrix given viewpoint parameters.

lib/utils.py:510

↓ 1 callersFunctionget_reconstruction_dir

(experiment_dir, create_if_nonexistent=False)

lib/workspace.py:208

↓ 1 callersFunctionget_rotate_matrix

(rotation_angle1)

lib/utils.py:405

↓ 1 callersFunctioninterpolate_on_faces

(field, faces)

lib/utils.py:114

↓ 1 callersFunctionload_experiment_specifications

(experiment_directory)

lib/workspace.py:20

↓ 1 callersFunctionload_logs

(experiment_directory)

train_svr.py:33

↓ 1 callersFunctionload_model_parameters

(experiment_directory, checkpoint, decoder)

lib/workspace.py:47

↓ 1 callersFunctionload_optimizer

(experiment_directory, filename, optimizer)

lib/utils.py:217

↓ 1 callersFunctionmain_function

(experiment_directory, continue_from)

metrics_svr.py:20

↓ 1 callersFunctionmain_function

(experiment_directory, continue_from, iterations, marching_cubes_resolution, regularize)

reconstruct_svr.py:34

↓ 1 callersFunctionmain_function

(experiment_directory, resolution)

train_deep_sdf.py:21

↓ 1 callersFunctionmain_function

(experiment_directory, continue_from)

train_svr.py:69

↓ 1 callersFunctionread_params

(lines)

lib/utils.py:396

↓ 1 callersFunctionsave_checkpoints

(epoch)

train_svr.py:104

↓ 1 callersFunctionsave_latent_vectors

(experiment_directory, filename, latent_vec, epoch)

lib/utils.py:235

↓ 1 callersFunctionsave_latest

(epoch)

train_deep_sdf.py:35

↓ 1 callersFunctionsave_latest

(epoch)

train_svr.py:99

↓ 1 callersFunctionunpack_images

(filename)

lib/utils.py:544

↓ 1 callersFunctionwrite_verts_faces_to_file

(verts, faces, ply_filename_out)

(self, silhouette_renderer, depth_renderer, max_depth = 5, image_size=256)

(self, initial, interval, factor)

lib/utils.py:138

Method__init__

(self, initial, warmed_up, length)

lib/utils.py:149

Method__init__

( self, data_source, split, subsample )

lib/data.py:20

Method__init__

( self, data_source, split, subsample, is_train=False, num_vie

lib/data.py:42

Method__init__

( self, latent_size, dims, dropout=None, dropout_prob=0.0, nor

lib/models/decoder.py:12

Method__init__

(self, num_features, eps=1e-5, momentum=0.1, affine=True)

lib/models/encoder.py:11

Method__init__

(self, inplanes, planes, stride=1, downsample=None, normlayer=None)

lib/models/encoder.py:65

Method__init__

(self, inplanes, planes, stride=1, downsample=None, normlayer=None)

lib/models/encoder.py:97

Method_check_input_dim

(self, input)

lib/models/encoder.py:52

Functionappend_parameter_magnitudes

(param_mag_log, model)

Functioncreate_mesh_optim_fast

( samples, indices, decoder, latent_vec, N=256, max_batch=32 ** 3, offset=None, scale=None, fourier = Fals

lib/mesh.py:207

Methodforward

(self, meshes_world, **kwargs)

lib/utils.py:87

Methodforward

(self, latent, xyz)

lib/models/decoder.py:82

Methodforward

(self, input)

lib/models/encoder.py:17

Methodforward

(self, x)

lib/models/encoder.py:75

Methodforward

(self, x)

lib/models/encoder.py:110

Methodforward

(self, x)

lib/models/encoder.py:197

Functionget_data_source_map_filename

(data_dir)

lib/workspace.py:150

Functionget_evaluation_dir

(experiment_dir, checkpoint, create_if_nonexistent=False)

lib/workspace.py:169

Functionget_latent_codes_dir

(experiment_dir, create_if_nonexistent=False)

lib/workspace.py:199

Methodget_learning_rate

(self, epoch)

lib/utils.py:133

Methodget_learning_rate

(self, epoch)

lib/utils.py:143

Methodget_learning_rate

(self, epoch)

lib/utils.py:154

Functionget_mean_latent_vector_magnitude

(latent_vectors)

lib/utils.py:325

Functionget_model_params_dir

(experiment_dir, create_if_nonexistent=False)

lib/workspace.py:179

Functionget_normalization_params_filename

( data_dir, dataset_name, class_name, instance_name )

lib/workspace.py:222

Functionget_optimizer_params_dir

(experiment_dir, create_if_nonexistent=False)

lib/workspace.py:189

Functionget_reconstructed_code_filename

( experiment_dir, epoch, dataset, class_name, instance_name )

lib/workspace.py:154

Functionload_cam_model_parameters

(experiment_directory, checkpoint, encoder)

lib/workspace.py:32

Functionload_decoder

( experiment_directory, experiment_specs, checkpoint, data_parallel=True )

lib/workspace.py:101

Functionload_latent_vectors

(experiment_directory, filename, lat_vecs)

lib/utils.py:247

Functionload_latent_vectors

(experiment_directory, checkpoint)

lib/workspace.py:115

Functionload_logs

(experiment_directory)

lib/utils.py:295

Methodmake_sequence

()

lib/models/decoder.py:29

Functionsave_logs

( experiment_directory, loss_log, epoch, )

lib/utils.py:280

Functionsignal_handler

(sig, frame)

train_deep_sdf.py:40

Functionsignal_handler

(sig, frame)

train_svr.py:109