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Functions3,004 in github.com/GZWSAMA/OnePoseviaGen

⨍ Functions 3,004◇ Types & classes 491
↓ 1 callersMethod__init__
( self, sigma_min: float, )
oneposeviagen/trellis/trellis/pipelines/samplers/flow_euler.py:19
↓ 1 callersMethod__init__
(self, hidden_size, frequency_embedding_size=256)
oneposeviagen/trellis/trellis/models/sparse_structure_flow.py:15
↓ 1 callersMethod__init__
( self, resolution: int, model_channels: int, latent_channels: int, nu
oneposeviagen/trellis/trellis/models/structured_latent_vae/decoder_mesh.py:72
↓ 1 callersMethod__init__
(self, vertices, faces, vertex_attrs=None, res=64 )
oneposeviagen/trellis/trellis/representations/mesh/cube2mesh.py:26
↓ 1 callersMethod__init__
(self, device="cuda")
oneposeviagen/trellis/trellis/representations/mesh/mc2mesh.py:10
↓ 1 callersMethod__init__
( self, head, features=256, backbone="vitb_rn50_384", readout="project
oneposeviagen/SpaTrackerV2/models/monoD/zoeDepth/midas_c/midas/dpt_depth.py:31
↓ 1 callersMethod__init__
Init. Args: width (int): desired output width height (int): desired output height resize_target (bool, opt
oneposeviagen/SpaTrackerV2/models/monoD/zoeDepth/models/base_models/midas.py:54
↓ 1 callersMethod__init__
Compute log binomial distribution for n_classes Args: n_classes (int, optional): number of output classes. Defaults to 256.
oneposeviagen/SpaTrackerV2/models/monoD/zoeDepth/models/layers/dist_layers.py:37
↓ 1 callersMethod__init__
Attractor layer for bin centers. Bin centers are bounded on the interval (min_depth, max_depth)
oneposeviagen/SpaTrackerV2/models/monoD/zoeDepth/models/layers/attractor.py:61
↓ 1 callersMethod__init__
Init. Args: features (int): number of features
oneposeviagen/SpaTrackerV2/models/monoD/depth_anything_v2/util/blocks.py:33
↓ 1 callersMethod__init__
( self, in_features: int, hidden_features: Optional[int] = None, out_features:
oneposeviagen/SpaTrackerV2/models/monoD/depth_anything_v2/dinov2_layers/swiglu_ffn.py:14
↓ 1 callersMethod__init__
Init. Args: features (int): number of features
oneposeviagen/SpaTrackerV2/models/monoD/depth_anything/blocks.py:41
↓ 1 callersMethod__init__
Open the ZIP file with mode read 'r', write 'w', exclusive create 'x', or append 'a'.
oneposeviagen/SpaTrackerV2/models/moge/utils/webzipfile.py:24
↓ 1 callersMethod__init__
( self, in_features: int, hidden_features: Optional[int] = None, out_features:
oneposeviagen/SpaTrackerV2/models/moge/model/dinov2/layers/swiglu_ffn.py:15
↓ 1 callersMethod__init__
Initializes the position generator with an empty cache.
oneposeviagen/SpaTrackerV2/models/SpaTrackV2/models/vggt4track/layers/rope.py:35
↓ 1 callersMethod__init__
( self, in_features: int, hidden_features: Optional[int] = None, out_features:
oneposeviagen/SpaTrackerV2/models/SpaTrackV2/models/vggt4track/layers/swiglu_ffn.py:15
↓ 1 callersMethod__init__
Build a pyramid of feature maps from the input. fmaps: Tensor (B, S, C, H, W) num_levels: number of pyramid levels (each dow
oneposeviagen/SpaTrackerV2/models/SpaTrackV2/models/vggt4track/heads/track_modules/blocks.py:148
↓ 1 callersMethod__init__
( self, window_len=8, stride=4, corr_radius=3, corr_levels=4,
oneposeviagen/SpaTrackerV2/models/SpaTrackV2/models/tracker3D/co_tracker/cotracker_base.py:69
↓ 1 callersMethod__init__
observed_depth: float
oneposeviagen/SpaTrackerV2/models/SpaTrackV2/models/tracker3D/spatrack_modules/ba.py:140
↓ 1 callersMethod__init__
( self, d_model: int, pos_enc_at_input: bool, layer: nn.Module, num_la
oneposeviagen/SAM2-in-video/sam2/modeling/memory_attention.py:103
↓ 1 callersMethod__init__
( self, num_pos_feats, temperature: int = 10000, normalize: bool = True,
oneposeviagen/SAM2-in-video/sam2/modeling/position_encoding.py:22
↓ 1 callersMethod__init__
Initialize the neck :param trunk: the backbone :param position_encoding: the positional encoding to use :param d_model: the di
oneposeviagen/SAM2-in-video/sam2/modeling/backbones/image_encoder.py:52
↓ 1 callersMethod__init__
(self, num_groups, num_channels, eps=1e-5, affine=True)
oneposeviagen/Amodal3R/amodal3r/modules/sparse/norm.py:15
↓ 1 callersMethod__init__
(self, in_channels, out_channels, kernel_size, stride=1, dilation=1, bias=True, indice_key=None)
oneposeviagen/Amodal3R/amodal3r/modules/sparse/conv/conv_torchsparse.py:7
↓ 1 callersMethod__init__
(self, in_channels, out_channels, kernel_size, stride=1, dilation=1, padding=None, bias=True, indice_key=None)
oneposeviagen/Amodal3R/amodal3r/modules/sparse/conv/conv_spconv.py:8
↓ 1 callersMethod__init__
(self)
oneposeviagen/Amodal3R/amodal3r/pipelines/image_to_3d.py:22
↓ 1 callersMethod__init__
( self, channels: int, emb_channels: int, out_channels: Optional[int] = None,
oneposeviagen/Amodal3R/amodal3r/models/structured_latent_flow_doubleattn_weighted.py:15
↓ 1 callersMethod__init__
(self, hidden_size, frequency_embedding_size=256)
oneposeviagen/Amodal3R/amodal3r/models/sparse_structure_flow.py:15
↓ 1 callersMethod__init__
(self, hidden_size, frequency_embedding_size=256)
oneposeviagen/Amodal3R/amodal3r/models/sparse_structure_flow_doubleattn_weighted.py:15
↓ 1 callersMethod__init__
( self, resolution: int, in_channels: int, model_channels: int, cond_c
oneposeviagen/Amodal3R/amodal3r/models/structured_latent_flow.py:69
↓ 1 callersMethod__init__
( self, resolution: int, model_channels: int, latent_channels: int, nu
oneposeviagen/Amodal3R/amodal3r/models/structured_latent_vae/decoder_mesh.py:72
↓ 1 callersMethod__init__
(self, vertices, faces, vertex_attrs=None, res=64 )
oneposeviagen/Amodal3R/amodal3r/representations/mesh/cube2mesh.py:16
↓ 1 callersMethod__init__
(self, cfg, white_bkgd=True)
oneposeviagen/Amodal3R/lightning/network_ss.py:45
↓ 1 callersMethod__init__
(self, c2w, width, height, fovy, fovx, znear, zfar, device)
oneposeviagen/Amodal3R/lightning/utils.py:42
↓ 1 callersMethod__init__
(self)
oneposeviagen/Amodal3R/lightning/network_slat.py:16
↓ 1 callersMethod__merge_sparse_cache
(self, other: 'SparseTensor')
oneposeviagen/trellis/trellis/modules/sparse/basic.py:290
↓ 1 callersMethod__merge_sparse_cache
(self, other: 'SparseTensor')
oneposeviagen/Amodal3R/amodal3r/modules/sparse/basic.py:290
↓ 1 callersMethod__setattr__
(self, name, value)
oneposeviagen/SpaTrackerV2/models/monoD/zoeDepth/utils/easydict/__init__.py:134
↓ 1 callersMethod__setitem__
(self, key: str, item: Any)
oneposeviagen/SAM2-in-video/sam2/utils/amg.py:31
↓ 1 callersFunction_build_mlp
(nlayers, in_dim, bottleneck_dim, hidden_dim=None, use_bn=False, bias=True)
oneposeviagen/SpaTrackerV2/models/moge/model/dinov2/layers/dino_head.py:44
↓ 1 callersMethod_build_perturbation
(self)
oneposeviagen/trellis/trellis/models/structured_latent_vae/decoder_gs.py:63
↓ 1 callersMethod_build_perturbation
(self)
oneposeviagen/Amodal3R/amodal3r/models/structured_latent_vae/decoder_gs.py:59
↓ 1 callersMethod_build_sam_heads
Build SAM-style prompt encoder and mask decoder.
oneposeviagen/SAM2-in-video/sam2/modeling/sam2_base.py:201
↓ 1 callersMethod_calc_layout
(self)
oneposeviagen/trellis/trellis/models/structured_latent_vae/decoder_gs.py:70
↓ 1 callersMethod_calc_layout
(self)
oneposeviagen/trellis/trellis/representations/mesh/cube2mesh.py:199
↓ 1 callersMethod_calc_layout
(self)
oneposeviagen/trellis/trellis/representations/mesh/mc2mesh.py:152
↓ 1 callersMethod_calc_layout
(self)
oneposeviagen/Amodal3R/amodal3r/models/structured_latent_vae/decoder_rf.py:58
↓ 1 callersMethod_calc_layout
(self)
oneposeviagen/Amodal3R/amodal3r/models/structured_latent_vae/decoder_gs.py:66
↓ 1 callersMethod_calc_layout
(self)
oneposeviagen/Amodal3R/amodal3r/representations/mesh/cube2mesh.py:81
↓ 1 callersMethod_compute_deviation_loss
Compute deviation loss for training
oneposeviagen/trellis/trellis/representations/mesh/mc2mesh.py:130
↓ 1 callersMethod_compute_frequency_components
Computes frequency components for rotary embeddings. Args: dim: Feature dimension (must be even). seq_len: Maximum se
oneposeviagen/SpaTrackerV2/models/SpaTrackV2/models/vggt4track/layers/rope.py:86
↓ 1 callersMethod_compute_reg_loss
Regularizer L_dev as in Equation 8
oneposeviagen/trellis/trellis/representations/mesh/flexicube.py:82
↓ 1 callersMethod_compute_reg_loss
Regularizer L_dev as in Equation 8
oneposeviagen/Amodal3R/amodal3r/representations/mesh/flexicube.py:79
↓ 1 callersFunction_compute_residual
(a: torch.Tensor, xyw: torch.Tensor, trunc: float)
oneposeviagen/SpaTrackerV2/models/moge/utils/alignment.py:48
↓ 1 callersFunction_compute_residual
(a: torch.Tensor, xyw: torch.Tensor, trunc: float)
oneposeviagen/SpaTrackerV2/models/SpaTrackV2/models/tracker3D/spatrack_modules/alignment.py:56
↓ 1 callersMethod_compute_vd
Computes the location of dual vertices as described in Section 4.2
oneposeviagen/trellis/trellis/representations/mesh/flexicube.py:222
↓ 1 callersMethod_compute_vd
Computes the location of dual vertices as described in Section 4.2
oneposeviagen/Amodal3R/amodal3r/representations/mesh/flexicube.py:219
↓ 1 callersMethod_create_pyramid
Create a 3-level image pyramid.
oneposeviagen/SpaTrackerV2/models/monoD/depth_pro/network/encoder.py:151
↓ 1 callersFunction_delete
()
app.py:79
↓ 1 callersFunction_delete
()
oneposeviagen/SpaTrackerV2/app.py:58
↓ 1 callersFunction_dict_merge
Merge two dictionaries.
oneposeviagen/trellis/trellis/utils/general_utils.py:7
↓ 1 callersFunction_dict_merge
Merge two dictionaries.
oneposeviagen/Amodal3R/amodal3r/utils/general_utils.py:7
↓ 1 callersMethod_draw_gt_tracks
( self, rgb: np.ndarray, # H x W x 3, gt_tracks: np.ndarray, # T x 2 )
oneposeviagen/SpaTrackerV2/models/SpaTrackV2/utils/visualizer.py:318
↓ 1 callersMethod_draw_pred_tracks
( self, rgb: np.ndarray, # H x W x 3 tracks: np.ndarray, # T x 2 vector_colo
oneposeviagen/SpaTrackerV2/models/SpaTrackV2/utils/visualizer.py:289
↓ 1 callersMethod_dynamic_multimask_via_stability
When outputting a single mask, if the stability score from the current single-mask output (based on output token 0) falls below a thr
oneposeviagen/SAM2-in-video/sam2/modeling/sam/mask_decoder.py:259
↓ 1 callersMethod_embed_boxes
Embeds box prompts.
oneposeviagen/SAM2-in-video/sam2/modeling/sam/prompt_encoder.py:103
↓ 1 callersMethod_embed_masks
Embeds mask inputs.
oneposeviagen/SAM2-in-video/sam2/modeling/sam/prompt_encoder.py:114
↓ 1 callersMethod_embed_points
Embeds point prompts.
oneposeviagen/SAM2-in-video/sam2/modeling/sam/prompt_encoder.py:79
↓ 1 callersMethod_eps_to_xstart
(self, x_t, t, eps)
oneposeviagen/trellis/trellis/pipelines/samplers/flow_euler.py:25
↓ 1 callersMethod_fetch_data
(self, offset: int, n: int)
oneposeviagen/SpaTrackerV2/models/moge/utils/webfile.py:23
↓ 1 callersMethod_fetch_size
(self)
oneposeviagen/SpaTrackerV2/models/moge/utils/webfile.py:15
↓ 1 callersFunction_fill_holes
Rasterize a mesh from multiple views and remove invisible faces. Also includes postprocessing to: 1. Remove connected components that
oneposeviagen/trellis/trellis/utils/postprocessing_utils.py:33
↓ 1 callersFunction_fill_holes
Rasterize a mesh from multiple views and remove invisible faces. Also includes postprocessing to: 1. Remove connected components that
oneposeviagen/Amodal3R/amodal3r/utils/postprocessing_utils.py:22
↓ 1 callersMethod_forward
(self, x: SparseTensor)
oneposeviagen/trellis/trellis/modules/sparse/transformer/blocks.py:65
↓ 1 callersMethod_forward
(self, x: SparseTensor, mod: torch.Tensor, context: torch.Tensor)
oneposeviagen/trellis/trellis/modules/sparse/transformer/blocks.py:135
↓ 1 callersMethod_forward
(self, x: SparseTensor, mod: torch.Tensor)
oneposeviagen/trellis/trellis/modules/sparse/transformer/modulated.py:57
↓ 1 callersMethod_forward
(self, x: SparseTensor, mod: torch.Tensor, context: torch.Tensor)
oneposeviagen/trellis/trellis/modules/sparse/transformer/modulated.py:142
↓ 1 callersMethod_forward
(self, x: torch.Tensor)
oneposeviagen/trellis/trellis/modules/transformer/blocks.py:99
↓ 1 callersMethod_forward
(self, x: torch.Tensor, context: torch.Tensor)
oneposeviagen/trellis/trellis/modules/transformer/blocks.py:165
↓ 1 callersMethod_forward
(self, x: torch.Tensor, mod: torch.Tensor)
oneposeviagen/trellis/trellis/modules/transformer/modulated.py:52
↓ 1 callersMethod_forward
(self, x: torch.Tensor, mod: torch.Tensor, context: torch.Tensor)
oneposeviagen/trellis/trellis/modules/transformer/modulated.py:132
↓ 1 callersMethod_forward
(self, x: torch.Tensor)
oneposeviagen/trellis/trellis/modules/transformer/modulated.py:194
↓ 1 callersMethod_forward
(self, x: torch.Tensor, context: torch.Tensor)
oneposeviagen/trellis/trellis/modules/transformer/modulated.py:260
↓ 1 callersMethod_forward
(self, x: SparseTensor)
oneposeviagen/Amodal3R/amodal3r/modules/sparse/transformer/blocks.py:65
↓ 1 callersMethod_forward
(self, x: SparseTensor, mod: torch.Tensor, context: torch.Tensor)
oneposeviagen/Amodal3R/amodal3r/modules/sparse/transformer/blocks.py:135
↓ 1 callersMethod_forward
(self, x: SparseTensor, mod: torch.Tensor)
oneposeviagen/Amodal3R/amodal3r/modules/sparse/transformer/modulated.py:57
↓ 1 callersMethod_forward
(self, x: SparseTensor, mod: torch.Tensor, context: torch.Tensor)
oneposeviagen/Amodal3R/amodal3r/modules/sparse/transformer/modulated.py:142
↓ 1 callersMethod_forward
(self, x: SparseTensor, mod: torch.Tensor, context: dict)
oneposeviagen/Amodal3R/amodal3r/modules/sparse/transformer/modulated.py:239
↓ 1 callersMethod_forward
(self, x: torch.Tensor)
oneposeviagen/Amodal3R/amodal3r/modules/transformer/blocks.py:99
↓ 1 callersMethod_forward
(self, x: torch.Tensor, context: torch.Tensor)
oneposeviagen/Amodal3R/amodal3r/modules/transformer/blocks.py:165
↓ 1 callersMethod_forward
(self, x: torch.Tensor, mod: torch.Tensor)
oneposeviagen/Amodal3R/amodal3r/modules/transformer/modulated.py:52
↓ 1 callersMethod_forward
(self, x: torch.Tensor, mod: torch.Tensor, context: torch.Tensor)
oneposeviagen/Amodal3R/amodal3r/modules/transformer/modulated.py:132
↓ 1 callersMethod_forward
(self, x: torch.Tensor, mod: torch.Tensor, context: dict)
oneposeviagen/Amodal3R/amodal3r/modules/transformer/modulated.py:225
↓ 1 callersMethod_forward_ca
(self, tgt, memory, query_pos, pos, num_k_exclude_rope=0)
oneposeviagen/SAM2-in-video/sam2/modeling/memory_attention.py:66
↓ 1 callersMethod_forward_sa
(self, tgt, query_pos)
oneposeviagen/SAM2-in-video/sam2/modeling/memory_attention.py:58
↓ 1 callersMethod_generate_masks
(self, image: np.ndarray)
oneposeviagen/SAM2-in-video/sam2/automatic_mask_generator.py:206
↓ 1 callersMethod_get_batch_size
Gets the batch size of the output given the batch size of the input prompts.
oneposeviagen/SAM2-in-video/sam2/modeling/sam/prompt_encoder.py:119
↓ 1 callersMethod_get_birefnet_mask
Get object mask using BiRefNet
oneposeviagen/trellis/trellis/pipelines/trellis_image_to_3d.py:347
↓ 1 callersMethod_get_case_id
Obtains the ID of topology cases based on cell corner occupancy. This function resolves the ambiguity in the Dual Marching Cubes (DM
oneposeviagen/trellis/trellis/representations/mesh/flexicube.py:116
↓ 1 callersMethod_get_case_id
Obtains the ID of topology cases based on cell corner occupancy. This function resolves the ambiguity in the Dual Marching Cubes (DM
oneposeviagen/Amodal3R/amodal3r/representations/mesh/flexicube.py:113
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