MCPcopy Create free account

hub / github.com/TencentARC/Pixal3D / functions

Functions865 in github.com/TencentARC/Pixal3D

↓ 1 callersFunctionwrap_line
Wrap a single line of text into multiple lines such that each line's width (measured at the given scale) does not exceed max_width.
pixal3d/utils/general_utils.py:198
↓ 1 callersFunctionzero_grad
(model_params)
pixal3d/trainers/utils.py:69
Method__add__
(self, other: Union[torch.Tensor, 'VarLenTensor', float])
pixal3d/modules/sparse/basic.py:214
Method__call__
Extract features from the image. Args: image: A batch of images as a tensor of shape (B, C, H, W) or a list of P
pixal3d/modules/image_feature_extractor.py:32
Method__call__
Extract features from the image. Args: image: A batch of images as a tensor of shape (B, C, H, W) or a list of P
pixal3d/modules/image_feature_extractor.py:95
Method__call__
Clip the gradient norm of an iterable of parameters. The norm is computed over all gradients together, as if they were concatenated i
pixal3d/utils/grad_clip_utils.py:48
Method__call__
(self, image: Image.Image)
pixal3d/pipelines/rembg/BiRefNet.py:31
Method__call__
Extract features from the image. Args: image: A batch of images as a tensor of shape (B, C, H, W) or a list of P
pixal3d/trainers/flow_matching/mixins/image_conditioned.py:34
Method__call__
Extract features from the image. Args: image: A batch of images as a tensor of shape (B, C, H, W) or a list of P
pixal3d/trainers/flow_matching/mixins/image_conditioned.py:97
Method__elemwise__
(self, other: Union[torch.Tensor, VarLenTensor], op: callable)
pixal3d/modules/sparse/basic.py:717
Function__getattr__
(name)
pixal3d/modules/sparse/__init__.py:44
Function__getattr__
(name)
pixal3d/pipelines/__init__.py:14
Function__getattr__
(name)
pixal3d/renderers/__init__.py:14
Function__getattr__
(name)
pixal3d/trainers/__init__.py:34
Function__getattr__
(name)
pixal3d/datasets/__init__.py:29
Function__getattr__
(name)
pixal3d/representations/__init__.py:14
Method__getitem__
(self, idx)
pixal3d/modules/sparse/basic.py:238
Method__getitem__
(self, idx)
pixal3d/modules/sparse/basic.py:732
Method__getitem__
(self, index)
pixal3d/datasets/components.py:128
Method__init__
(self, *args, **kwargs)
app.py:320
Method__init__
(self, model_name: str)
pixal3d/modules/image_feature_extractor.py:14
Method__init__
(self, model_name: str, image_size=512)
pixal3d/modules/image_feature_extractor.py:63
Method__init__
Args: cross_attn_block: The underlying cross-attention module channels: Model channels (output dimension)
pixal3d/modules/attention/proj_attention.py:70
Method__init__
( self, head_dim: int, dim: int = 3, rope_freq: Tuple[float, float] = (1.0, 1
pixal3d/modules/attention/rope.py:7
Method__init__
( self, channels: int, num_heads: int, ctx_channels: Optional[int]=None,
pixal3d/modules/attention/modules.py:20
Method__init__
(self, in_features, out_features, bias=True)
pixal3d/modules/sparse/linear.py:11
Method__init__
(self, normalized_shape, eps=1e-5, elementwise_affine=True)
pixal3d/modules/sparse/norm.py:31
Method__init__
(self, feats: torch.Tensor, layout: List[slice]=None)
pixal3d/modules/sparse/basic.py:25
Method__init__
(self, feats: torch.Tensor, coords: torch.Tensor, shape: Optional[torch.Size] = None, **kwargs)
pixal3d/modules/sparse/basic.py:361
Method__init__
(self, activation: nn.Module)
pixal3d/modules/sparse/nonlinearity.py:29
Method__init__
( self, cross_attn_block: nn.Module, channels: int, dino_in_channels: int,
pixal3d/modules/sparse/attention/proj_attention.py:62
Method__init__
( self, head_dim: int, dim: int = 3, rope_freq: Tuple[float, float] = (1.0, 1
pixal3d/modules/sparse/attention/rope.py:8
Method__init__
( self, channels: int, num_heads: int, ctx_channels: Optional[int] = None,
pixal3d/modules/sparse/attention/modules.py:28
Method__init__
(self, factor: int = 2)
pixal3d/modules/sparse/spatial/spatial2channel.py:63
Method__init__
(self, factor: int, mode: Literal['mean', 'max'] = 'mean')
pixal3d/modules/sparse/spatial/basic.py:17
Method__init__
(self, in_channels, out_channels, kernel_size, stride=1, dilation=1, bias=True, indice_key=None)
pixal3d/modules/sparse/conv/conv.py:23
Method__init__
( self, channels: int, num_heads: int, mlp_ratio: float = 4.0, attn_mo
pixal3d/modules/sparse/transformer/blocks.py:28
Method__init__
( self, channels: int, ctx_channels: int, num_heads: int, mlp_ratio: f
pixal3d/modules/sparse/transformer/blocks.py:83
Method__init__
( self, channels: int, ctx_channels: int, num_heads: int, mlp_ratio: f
pixal3d/modules/sparse/transformer/modulated.py:89
Method__init__
(self, channels: int, in_channels: int = 3)
pixal3d/modules/transformer/blocks.py:12
Method__init__
( self, channels: int, num_heads: int, mlp_ratio: float = 4.0, attn_mo
pixal3d/modules/transformer/blocks.py:66
Method__init__
( self, channels: int, ctx_channels: int, num_heads: int, mlp_ratio: f
pixal3d/modules/transformer/blocks.py:121
Method__init__
( self, channels: int, ctx_channels: int, num_heads: int, mlp_ratio: f
pixal3d/modules/transformer/modulated.py:88
Method__init__
( self, max_norm=None, clip_percentile=95.0, buffer_size=1000, )
pixal3d/utils/grad_clip_utils.py:11
Method__init__
( self, buffer_size=1000, update_every=500, target_ratio=0.8, availabl
pixal3d/utils/elastic_utils.py:51
Method__init__
(self, *args, **kwargs)
pixal3d/utils/elastic_utils.py:191
Method__init__
( self, dataset: Dataset, shuffle: bool = True, seed: int = 0, drop_la
pixal3d/utils/data_utils.py:176
Method__init__
( self, models: dict[str, nn.Module] = None, )
pixal3d/pipelines/base.py:11
Method__init__
( self, models: dict[str, nn.Module] = None, sparse_structure_sampler: samplers.Sample
pixal3d/pipelines/trellis2_image_to_3d.py:42
Method__init__
( self, models: dict[str, nn.Module] = None, sparse_structure_sampler: samplers.Sample
pixal3d/pipelines/pixal3d_image_to_3d.py:49
Method__init__
( self, models: dict[str, nn.Module] = None, tex_slat_sampler: samplers.Sampler = None
pixal3d/pipelines/trellis2_texturing.py:39
Method__init__
(self, model_name: str = "ZhengPeng7/BiRefNet")
pixal3d/pipelines/rembg/BiRefNet.py:9
Method__init__
( self, sigma_min: float, )
pixal3d/pipelines/samplers/flow_euler.py:18
Method__init__
(self, rendering_options={}, device='cuda')
pixal3d/renderers/mesh_renderer.py:43
Method__init__
(self, image: torch.Tensor)
pixal3d/renderers/pbr_mesh_renderer.py:39
Method__init__
(self, rendering_options={}, device='cuda')
pixal3d/renderers/pbr_mesh_renderer.py:218
Method__init__
(self, rendering_options={})
pixal3d/renderers/voxel_renderer.py:15
Method__init__
(self, optimizer, warmup_steps, last_epoch=-1)
pixal3d/trainers/utils.py:83
Method__init__
(self, models, dataset, *, output_dir, load_dir, step,
pixal3d/trainers/basic.py:65
Method__init__
( self, *args, lambda_subdiv: float = 0.1, lambda_intersected: float = 0.1,
pixal3d/trainers/vae/shape_vae.py:60
Method__init__
( self, *args, loss_type: str = 'l1', lambda_kl: float = 1e-6, lambda_
pixal3d/trainers/vae/pbr_vae.py:58
Method__init__
( self, *args, loss_type='bce', lambda_kl=1e-6, **kwargs )
pixal3d/trainers/vae/sparse_structure_vae.py:47
Method__init__
(self, *args, run_projection_test: bool = True, **kwargs)
pixal3d/trainers/flow_matching/sparse_flow_matching.py:373
Method__init__
(self, *args, run_projection_test: bool = True, **kwargs)
pixal3d/trainers/flow_matching/flow_matching.py:395
Method__init__
( self, model_name: str, image_size: int = 512, grid_resolution: int = 16,
pixal3d/trainers/flow_matching/mixins/image_conditioned_proj.py:364
Method__init__
( self, dino_model_name: str, vae_model_name: str = "black-forest-labs/FLUX.1-dev",
pixal3d/trainers/flow_matching/mixins/image_conditioned_proj.py:629
Method__init__
(self, *args, image_cond_model: dict, **kwargs)
pixal3d/trainers/flow_matching/mixins/image_conditioned_proj.py:816
Method__init__
(self, *args, p_uncond: float = 0.1, **kwargs)
pixal3d/trainers/flow_matching/mixins/classifier_free_guidance.py:8
Method__init__
(self, model_name: str)
pixal3d/trainers/flow_matching/mixins/image_conditioned.py:16
Method__init__
(self, model_name: str, image_size=512)
pixal3d/trainers/flow_matching/mixins/image_conditioned.py:65
Method__init__
(self, *args, image_cond_model: dict, **kwargs)
pixal3d/trainers/flow_matching/mixins/image_conditioned.py:185
Method__init__
(self, *args, text_cond_model: str = 'openai/clip-vit-large-patch14', **kwargs)
pixal3d/trainers/flow_matching/mixins/text_conditioned.py:17
Method__init__
( self, roots, resolution: int = 1024, max_active_voxels: int = 1000000,
pixal3d/datasets/sparse_voxel_pbr.py:104
Method__init__
(self, roots: str, *, resolution: int, min_aesthetic_score: float = 5.0,
pixal3d/datasets/structured_latent_shape.py:239
Method__init__
( self, *args, pretrained_pbr_slat_dec: str = 'JeffreyXiang/TRELLIS.2-4B/ckpts/tex_dec
pixal3d/datasets/structured_latent_svpbr.py:19
Method__init__
(self, roots: str, *, resolution: int, min_aesthetic_score: float = 5.0,
pixal3d/datasets/structured_latent_svpbr.py:418
Method__init__
( self, *args, pretrained_ss_dec: str = 'JeffreyXiang/TRELLIS-image-large/ckpts/ss_dec
pixal3d/datasets/sparse_structure_latent.py:16
Method__init__
(self, roots: str, *, min_aesthetic_score: float = 5.0, normalization: Optiona
pixal3d/datasets/sparse_structure_latent.py:306
Method__init__
( self, *args, pretrained_slat_dec: str = 'JeffreyXiang/TRELLIS-image-large/ckpts/slat
pixal3d/datasets/structured_latent.py:15
Method__init__
( self, roots, resolution: int = 1024, max_active_voxels: int = 1000000,
pixal3d/datasets/flexi_dual_grid.py:67
Method__init__
(self, roots, *, image_size=518, **kwargs)
pixal3d/datasets/components.py:152
Method__init__
(self, roots, *, image_size=518, load_camera_info=False, **kwargs)
pixal3d/datasets/components.py:208
Method__init__
(self, roots, *, image_size=518, max_image_cond_view = 4, **kwargs)
pixal3d/datasets/components.py:293
Method__init__
( self, resolution: int, in_channels: int, model_channels: int, cond_c
pixal3d/models/sparse_structure_flow.py:64
Method__init__
( self, in_channels: int, out_channels: int, mode: Literal["conv", "avgpool"]
pixal3d/models/sparse_structure_vae.py:51
Method__init__
( self, in_channels: int, out_channels: int, mode: Literal["conv", "nearest"]
pixal3d/models/sparse_structure_vae.py:76
Method__init__
( self, in_channels: int, latent_channels: int, num_res_blocks: int, c
pixal3d/models/sparse_structure_vae.py:114
Method__init__
( self, out_channels: int, latent_channels: int, num_res_blocks: int,
pixal3d/models/sparse_structure_vae.py:223
Method__init__
( self, resolution: int, in_channels: int, model_channels: int, cond_c
pixal3d/models/structured_latent_flow.py:23
Method__init__
( self, channels: int, out_channels: Optional[int] = None, use_checkpoint: boo
pixal3d/models/sc_vaes/sparse_unet_vae.py:94
Method__init__
( self, channels: int, out_channels: Optional[int] = None, use_checkpoint: boo
pixal3d/models/sc_vaes/sparse_unet_vae.py:132
Method__init__
( self, channels: int, out_channels: Optional[int] = None, use_checkpoint: boo
pixal3d/models/sc_vaes/sparse_unet_vae.py:180
Method__init__
( self, channels: int, out_channels: Optional[int] = None, use_checkpoint: boo
pixal3d/models/sc_vaes/sparse_unet_vae.py:218
Method__init__
( self, channels: int, mlp_ratio: float = 4.0, use_checkpoint: bool = False,
pixal3d/models/sc_vaes/sparse_unet_vae.py:266
Method__init__
( self, in_channels: int, model_channels: List[int], latent_channels: int,
pixal3d/models/sc_vaes/sparse_unet_vae.py:301
Method__init__
( self, out_channels: int, model_channels: List[int], latent_channels: int,
pixal3d/models/sc_vaes/sparse_unet_vae.py:402
Method__init__
( self, resolution: int, model_channels: List[int], latent_channels: int,
pixal3d/models/sc_vaes/fdg_vae.py:54
Method__init__
(self, vertices, faces, vertex_attrs=None )
pixal3d/representations/mesh/base.py:9
Method__init__
( self, image: torch.Tensor, filter_mode: TextureFilterMode = TextureFilterMode.LINEAR
pixal3d/representations/mesh/base.py:102
Method__init__
( self, base_color_texture: Optional[Texture] = None, base_color_factor: Union[torch.T
pixal3d/representations/mesh/base.py:121
← previousnext →401–500 of 865, ranked by callers