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Functions744 in github.com/BoyanJIANG/LoRD

⨍ Functions 744◇ Types & classes 133
↓ 1 callersFunction__pyx_pf_8pykdtree_6kdtree_6KDTree_6__dealloc__
lib/utils/libkdtree/pykdtree/kdtree.c:4447
↓ 1 callersFunction__pyx_pf_8pykdtree_6kdtree_6KDTree_8__reduce_cython__
lib/utils/libkdtree/pykdtree/kdtree.c:4743
↓ 1 callersFunction__pyx_pf_8pykdtree_6kdtree_6KDTree_8data_pts___get__
lib/utils/libkdtree/pykdtree/kdtree.c:4539
↓ 1 callersFunction__pyx_pf_8pykdtree_6kdtree_6KDTree_8leafsize___get__
lib/utils/libkdtree/pykdtree/kdtree.c:4701
↓ 1 callersFunction__pyx_pf_8pykdtree_6kdtree_6KDTree___cinit__
lib/utils/libkdtree/pykdtree/kdtree.c:1855
↓ 1 callersFunction__pyx_pw_5numpy_7ndarray_1__getbuffer__
proto*/
lib/utils/libkdtree/pykdtree/kdtree.c:4841
↓ 1 callersFunction__pyx_pw_5numpy_7ndarray_3__releasebuffer__
proto*/
lib/utils/libkdtree/pykdtree/kdtree.c:5713
↓ 1 callersFunction__pyx_pw_8pykdtree_6kdtree_6KDTree_1__cinit__
proto*/
lib/utils/libkdtree/pykdtree/kdtree.c:1841
↓ 1 callersFunction__pyx_pw_8pykdtree_6kdtree_6KDTree_1n_1__get__
proto*/
lib/utils/libkdtree/pykdtree/kdtree.c:4602
↓ 1 callersFunction__pyx_pw_8pykdtree_6kdtree_6KDTree_4data_1__get__
proto*/
lib/utils/libkdtree/pykdtree/kdtree.c:4565
↓ 1 callersFunction__pyx_pw_8pykdtree_6kdtree_6KDTree_4ndim_1__get__
proto*/
lib/utils/libkdtree/pykdtree/kdtree.c:4646
↓ 1 callersFunction__pyx_pw_8pykdtree_6kdtree_6KDTree_7__dealloc__
proto*/
lib/utils/libkdtree/pykdtree/kdtree.c:4438
↓ 1 callersFunction__pyx_pw_8pykdtree_6kdtree_6KDTree_8data_pts_1__get__
proto*/
lib/utils/libkdtree/pykdtree/kdtree.c:4528
↓ 1 callersFunction__pyx_pw_8pykdtree_6kdtree_6KDTree_8leafsize_1__get__
proto*/
lib/utils/libkdtree/pykdtree/kdtree.c:4690
↓ 1 callersFunction_check_kw_conflict
(cls)
chumpy/chumpy/ch.py:51
↓ 1 callersFunction_dep_props_for
(cls)
chumpy/chumpy/ch.py:44
↓ 1 callersMethod_f
(self, a, b)
chumpy/chumpy/ch_ops.py:782
↓ 1 callersMethod_load_crossprod_cache
(self, h, w)
chumpy/chumpy/ch_ops.py:125
↓ 1 callersMethod_stride_for_axis
(self,axis, mtx)
chumpy/chumpy/ch_ops.py:641
↓ 1 callersMethodargf
(self, axis)
chumpy/chumpy/ch_ops.py:620
↓ 1 callersFunctionatleast_2d
(*arys)
chumpy/chumpy/reordering.py:333
↓ 1 callersFunctionatleast_3d
(*arys)
chumpy/chumpy/reordering.py:336
↓ 1 callersFunctionaverage_onto_face
Average per-vert attribute onto faces.
lib/utils/postprocess_utils.py:37
↓ 1 callersFunctionback_optim
(mesh_dir, device, code_std=0.01, num_iterations=500)
h4d_fitting.py:49
↓ 1 callersFunctionbackward_step
(loss_dict, weight_dict, it)
lib/utils/h4d_utils.py:16
↓ 1 callersFunctioncache_info
(ch_node)
chumpy/chumpy/monitor.py:63
↓ 1 callersMethodchkd
(self, obj, parm, eps=1e-14)
chumpy/chumpy/test_linalg.py:239
↓ 1 callersMethodcompute_dr_wrt
(self, wrt)
chumpy/chumpy/ch_ops.py:321
↓ 1 callersFunctioncompute_normal_from_depth
(depth, mask, K_inv, xyz, apply_mask=True)
scripts/depth2pcl.py:11
↓ 1 callersMethodcompute_r
Default method for objects that just contain a number or ndarray
chumpy/chumpy/ch.py:271
↓ 1 callersMethodcompute_r
(self)
chumpy/chumpy/ch_ops.py:318
↓ 1 callersMethodcompute_rop
(self, wrt, rhs)
chumpy/chumpy/ch.py:723
↓ 1 callersFunctionconstruct_subtree_double
Construct a sub tree over a range of data points. Params: pa : data points pidx : permutation index of data points no_dims: number of dime
lib/utils/libkdtree/pykdtree/_kdtree_core.c:978
↓ 1 callersFunctionconstruct_subtree_float
Construct a sub tree over a range of data points. Params: pa : data points pidx : permutation index of data points no_dims: number of dime
lib/utils/libkdtree/pykdtree/_kdtree_core.c:334
↓ 1 callersFunctionconstruct_tree_float
Construct a tree over data points. Params: pa : data points no_dims: number of dimensions n : number of data points bsp : number of p
lib/utils/libkdtree/pykdtree/_kdtree_core.c:390
↓ 1 callersFunctionconvert_inputs_to_sparse_if_necessary
This function checks to see if a sparse output is desireable given the inputs and if so, casts the inputs to sparse in order to make it so.
chumpy/chumpy/utils.py:81
↓ 1 callersFunctionconvert_sdf_samples_to_ply
Convert sdf samples to trimesh, and predict RGB values for each mesh vertex. This function is adapted from DeepSDF: https://github.com/facebo
lib/mesh_creator.py:148
↓ 1 callersFunctioncopy
(self)
chumpy/chumpy/ch_ops.py:96
↓ 1 callersFunctioncreate_mesh
This function is adapted from DeepSDF: https://github.com/facebookresearch/DeepSDF
lib/mesh_creator.py:58
↓ 1 callersFunctioncreate_node_double
Create a tree node. Params: start_idx : index of first data point to use n : number of data points ******************************************
lib/utils/libkdtree/pykdtree/_kdtree_core.c:1067
↓ 1 callersFunctioncreate_node_float
Create a tree node. Params: start_idx : index of first data point to use n : number of data points ******************************************
lib/utils/libkdtree/pykdtree/_kdtree_core.c:423
↓ 1 callersMethoddecode
(self, x, c_s)
lib/models/lord_model.py:21
↓ 1 callersMethoddeform_points
(self, x, t, c_m)
lib/models/lord_model.py:27
↓ 1 callersFunctiondelete_subtree_double
Delete subtree Params: root : root node of subtree to delete ************************************************/
lib/utils/libkdtree/pykdtree/_kdtree_core.c:1093
↓ 1 callersFunctiondelete_subtree_float
Delete subtree Params: root : root node of subtree to delete ************************************************/
lib/utils/libkdtree/pykdtree/_kdtree_core.c:449
↓ 1 callersMethoddr_wrt
Loop over free variables and delete cache for the whole tree after finished each one
chumpy/chumpy/optimization_internal.py:34
↓ 1 callersMethoddump_tree
(self, node)
chumpy/chumpy/monitor.py:92
↓ 1 callersMethodeval_mesh
Evaluates a mesh. Args: mesh (trimesh): mesh which should be evaluated pointcloud_tgt (numpy array): target point clo
lib/evaluator.py:35
↓ 1 callersMethodeval_pointcloud
Evaluates a point cloud. Args: pointcloud (numpy array): predicted point cloud pointcloud_tgt (numpy array): target p
lib/evaluator.py:61
↓ 1 callersFunctionexpand_concatenates
(mtxs, axis=0)
chumpy/chumpy/reordering.py:423
↓ 1 callersMethodf
(self, axis)
chumpy/chumpy/ch_ops.py:619
↓ 1 callersFunctionfit_sphere_through_points
(points)
lib/utils/point_utils.py:309
↓ 1 callersFunctionget_bounding_box_double
Get the bounding box of a set of points Params: pa : data points pidx : permutation index of data points no_dims: number of dimensions
lib/utils/libkdtree/pykdtree/_kdtree_core.c:812
↓ 1 callersFunctionget_bounding_box_float
Get the bounding box of a set of points Params: pa : data points pidx : permutation index of data points no_dims: number of dimensions
lib/utils/libkdtree/pykdtree/_kdtree_core.c:168
↓ 1 callersFunctionget_cube_offset_double
Get squared distance from point to cube in specified dimension Params: dim : dimension point_coord : cartesian coordinates of point bbox :
lib/utils/libkdtree/pykdtree/_kdtree_core.c:1159
↓ 1 callersFunctionget_cube_offset_float
Get squared distance from point to cube in specified dimension Params: dim : dimension point_coord : cartesian coordinates of point bbox :
lib/utils/libkdtree/pykdtree/_kdtree_core.c:515
↓ 1 callersFunctionget_loss_weights
Set loss weights
lib/utils/h4d_utils.py:6
↓ 1 callersFunctionget_min_dist_double
Get minimum squared distance between point and cube. Params: point_coord : cartesian coordinates of point no_dims : number of dimensions b
lib/utils/libkdtree/pykdtree/_kdtree_core.c:1187
↓ 1 callersFunctionget_min_dist_float
Get minimum squared distance between point and cube. Params: point_coord : cartesian coordinates of point no_dims : number of dimensions b
lib/utils/libkdtree/pykdtree/_kdtree_core.c:543
↓ 1 callersMethodget_points
(self, pc_input, bbox, local_sigma=0.01)
lib/reconstructor.py:132
↓ 1 callersMethodget_points
(self, pc_input, bbox, local_sigma=0.01)
lib/reconstructor_refine_smpl.py:171
↓ 1 callersMethodget_points
(self, pc_input, bbox, local_sigma=0.01)
lib/trainer.py:44
↓ 1 callersMethodget_transf
(self)
lib/reconstructor.py:99
↓ 1 callersMethodget_transf
(self, model_name, start_idx, time_step)
lib/dataset.py:101
↓ 1 callersFunctionget_version
()
chumpy/setup.py:20
↓ 1 callersMethodharvest
(self)
chumpy/chumpy/monitor.py:146
↓ 1 callersFunctionhstack
(mtxs, **kwargs)
chumpy/chumpy/reordering.py:447
↓ 1 callersFunctionhstack
(x)
chumpy/chumpy/optimization_internal.py:18
↓ 1 callersMethodis_ch_baseclass
(self)
chumpy/chumpy/ch.py:492
↓ 1 callersMethodjoint_optimization
(self)
lib/reconstructor_refine_smpl.py:503
↓ 1 callersMethodlmult_wrt
(self, lhs, wrt)
chumpy/chumpy/ch.py:647
↓ 1 callersMethodload_input_ply
(self)
lib/reconstructor.py:70
↓ 1 callersMethodload_input_ply
(self)
lib/reconstructor_refine_smpl.py:107
↓ 1 callersMethodloop_children_do
(self, fn)
chumpy/chumpy/ch.py:852
↓ 1 callersMethodlop
(self, wrt, lhs)
chumpy/chumpy/ch.py:690
↓ 1 callersFunctionlstsq
(a, b, rcond=-1)
chumpy/chumpy/linalg.py:47
↓ 1 callersFunctionmain
(args)
reconstruct.py:12
↓ 1 callersFunctionmain
(cfg)
train.py:15
↓ 1 callersFunctionmain
()
chumpy/chumpy/linalg.py:289
↓ 1 callersFunctionmain
()
chumpy/chumpy/optimization.py:155
↓ 1 callersFunctionmain
()
chumpy/chumpy/api_compatibility.py:128
↓ 1 callersFunctionmain
()
chumpy/chumpy/ch_ops.py:808
↓ 1 callersFunctionmerge_meshes
Merge a list of individual meshes into a single mesh.
lib/utils/postprocess_utils.py:8
↓ 1 callersMethodminimize
(self, *args, **kwargs)
chumpy/chumpy/ch.py:327
↓ 1 callersFunctionminimize_dogleg
Nonlinear optimization using Powell's dogleg method. See Lourakis et al, 2005, ICCV '05, "Is Levenberg-Marquardt the Most Efficient Optimizati
chumpy/chumpy/optimization_internal.py:358
↓ 1 callersFunctionmy_power
(a, b)
chumpy/chumpy/ch_ops.py:243
↓ 1 callersFunctionnp_gather_ijk_index
Gather the features of given index from the feature grid. Args: arr (numpy array): h*w*d*c, feature grid. index (numpy array): nx
lib/utils/point_utils.py:146
↓ 1 callersFunctionnp_get_occupied_idx
Get crop indices for point clouds.
lib/utils/point_utils.py:201
↓ 1 callersFunctionnp_pad_points
Pad point cloud to required size. If number of points is larger than ntarget, take ntarget random samples. If number of points is smaller tha
lib/utils/point_utils.py:121
↓ 1 callersFunctionnp_shifted_crop
Crop the
lib/utils/point_utils.py:161
↓ 1 callersMethodon_changed
(self, which)
chumpy/chumpy/optimization_internal.py:73
↓ 1 callersMethodon_changed
(self, terms)
chumpy/chumpy/ch.py:561
↓ 1 callersMethodoptimize_h4d
(self, num_steps)
lib/reconstructor_refine_smpl.py:386
↓ 1 callersMethodoptimize_latent_code
(self)
lib/reconstructor.py:196
↓ 1 callersMethodoptimize_latent_code
(self, num_steps=3000)
lib/reconstructor_refine_smpl.py:235
↓ 1 callersMethodoptimize_step
(self, optimizer, n_steps=17)
lib/reconstructor.py:268
↓ 1 callersMethodoptimize_step
(self, optimizer, n_steps=17)
lib/reconstructor_refine_smpl.py:301
↓ 1 callersMethodoptimize_step_h4d
(self, optimizer, time_step=None)
lib/reconstructor_refine_smpl.py:459
↓ 1 callersFunctionpartition_double
Partition a range of data points by manipulation the permutation index. The sliding midpoint rule is used for the partitioning. Params: pa : data
lib/utils/libkdtree/pykdtree/_kdtree_core.c:857
↓ 1 callersFunctionpartition_float
Partition a range of data points by manipulation the permutation index. The sliding midpoint rule is used for the partitioning. Params: pa : data
lib/utils/libkdtree/pykdtree/_kdtree_core.c:213
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