Functions — github.com/cvlab-kaist/PF3plat

Method__init__

(self, d_model=256, nhead=1, attention_type='swin',

src/model/encoder/multiview_transformer.py:420

Method__init__

(self, num_layers=1, d_model=256, nhead=1,

src/model/encoder/multiview_transformer.py:514

Method__init__

(self, cfg: T)

src/model/encoder/encoder.py:15

Method__init__

(self, cfg: T_cfg, encoder: T_encoder)

src/model/encoder/visualization/encoder_visualizer.py:15

Method__init__

( self, feature_channels=256, upscale_factor=4, num_depth_candidates=32,

src/model/encoder/costvolume/depth_predictor_multiview.py:148

Method__init__

( self, spacial_dim: int, embed_dim: int, num_heads_channels: int, out

src/model/encoder/costvolume/ldm_unet/unet.py:39

Method__init__

(self, channels, out_channels=None, ks=5)

src/model/encoder/costvolume/ldm_unet/unet.py:129

Method__init__

(self, channels, use_conv, dims=2, out_channels=None,padding=1, downsample_3ddim=False, # downsample all

src/model/encoder/costvolume/ldm_unet/unet.py:149

Method__init__

( self, channels, emb_channels, dropout, out_channels=None, us

src/model/encoder/costvolume/ldm_unet/unet.py:192

Method__init__

( self, channels, num_heads=1, num_head_channels=-1, use_checkpoint=Fa

src/model/encoder/costvolume/ldm_unet/unet.py:317

Method__init__

( self, channels, condition_channels, num_heads=8, proj_channels=512,

src/model/encoder/costvolume/ldm_unet/unet.py:391

Method__init__

(self, n_heads, n_frames=2, use_cross_view_self_attn=False)

src/model/encoder/costvolume/ldm_unet/unet.py:532

Method__init__

(self, n_heads)

src/model/encoder/costvolume/ldm_unet/unet.py:578

Method__init__

( self, image_size, in_channels, model_channels, out_channels,

src/model/encoder/costvolume/ldm_unet/unet.py:637

Method__init__

(self, in_channels, model_channels, out_channels,

src/model/encoder/costvolume/ldm_unet/unet.py:1165

Method__init__

(self, dim, dim_out=None, mult=4, glu=False, dropout=0.)

src/model/encoder/costvolume/ldm_unet/attention.py:46

Method__init__

(self, dim, heads=4, dim_head=32)

src/model/encoder/costvolume/ldm_unet/attention.py:79

Method__init__

(self, in_channels)

src/model/encoder/costvolume/ldm_unet/attention.py:98

Method__init__

(self, query_dim, context_dim=None, heads=8, dim_head=64, dropout=0.)

src/model/encoder/costvolume/ldm_unet/attention.py:151

Method__init__

(self, dim, n_heads, d_head, dropout=0., context_dim=None, gated_ff=True, checkpoint=False)

src/model/encoder/costvolume/ldm_unet/attention.py:195

Method__init__

(self, in_channels, n_heads, d_head, depth=1, dropout=0., context_dim=None)

src/model/encoder/costvolume/ldm_unet/attention.py:226

Method__init__

(self, cfg: GaussianAdapterCfg)

src/model/encoder/common/gaussian_adapter.py:33

Method__init__

(self, model)

src/model/unidepth/encoder.py:8

Method__init__

Args: img_size (int, tuple): input image size patch_size (int, tuple): patch size in_chans (int): number

src/model/unidepth/backbones/dinov2.py:114

Method__init__

(self, in_chs, out_chs, stride=1, dilation=1)

src/model/unidepth/backbones/convnext.py:116

Method__init__

Args: in_chs: Block input channels. out_chs: Block output channels (same as in_chs if None). kernel_size

src/model/unidepth/backbones/convnext.py:151

Method__init__

( self, in_chs, out_chs, kernel_size=7, stride=2, depth=2,

src/model/unidepth/backbones/convnext.py:237

Method__init__

(self, normalized_shape, eps=1e-6, data_format="channels_last")

src/model/unidepth/backbones/convnext2.py:119

Method__init__

(self, dim, drop_path=0.0, mult=4, use_checkpoint=False)

src/model/unidepth/backbones/convnext2.py:164

Method__init__

( self, in_chans=3, depths=[3, 3, 9, 3], dims=96, drop_path_rate=0.0,

src/model/unidepth/backbones/convnext2.py:206

Method__init__

(self, drop_prob=None)

src/model/unidepth/backbones/metadinov2/drop_path.py:32

Method__init__

( self, dim: int, num_heads: int, mlp_ratio: float = 4.0, qkv_bias: bo

src/model/unidepth/backbones/metadinov2/block.py:35

Method__init__

( self, in_dim, out_dim, use_bn=False, nlayers=3, hidden_dim=2

src/model/unidepth/backbones/metadinov2/dino_head.py:14

Method__init__

( self, dim: int, init_values: Union[float, Tensor] = 1e-5, inplace: bool = Fa

src/model/unidepth/backbones/metadinov2/layer_scale.py:17

Method__init__

( self, dim: int, num_heads: int = 8, qkv_bias: bool = False, proj_bia

src/model/unidepth/backbones/metadinov2/attention.py:29

Method__init__

( self, in_features: int, hidden_features: Optional[int] = None, out_features:

src/model/unidepth/backbones/metadinov2/mlp.py:18

Method__init__

( self, in_features: int, hidden_features: Optional[int] = None, out_features:

src/model/unidepth/backbones/metadinov2/swiglu_ffn.py:46

Method__init__

( self, img_size: Union[int, Tuple[int, int]] = 224, patch_size: Union[int, Tuple[int,

src/model/unidepth/backbones/metadinov2/patch_embed.py:38

Method__init__

(self, m, n, dtype=torch.float32)

src/model/unidepth/utils/sht.py:1414

Method__init__

(self, dim)

src/model/unidepth/utils/positional_embedding.py:74

Method__init__

( self, dim, pt_seq_len, ft_seq_len=None, custom_freqs=None, f

src/model/unidepth/utils/positional_embedding.py:115

Method__init__

( self, dim, pt_seq_len, ft_seq_len=None, custom_freqs=None, f

src/model/unidepth/utils/positional_embedding.py:173

Method__init__

(self, *args, **kwargs)

src/model/unidepth/utils/ema_torch.py:19

Method__init__

( self, parameters: Iterable[torch.nn.Parameter], decay: float, use_num_update

src/model/unidepth/utils/ema_torch.py:85

Method__init__

(self, drop_prob=None)

src/model/unidepth/layers/drop_path.py:20

Method__init__

( self, dim, kernel_size=7, layer_scale=1.0, expansion=4, dila

src/model/unidepth/layers/convnext.py:6

Method__init__

( self, hidden_dim, num_layers: int = 2, expansion: int = 4, layer_sca

src/model/unidepth/layers/upsample.py:49

Method__init__

( self, hidden_dim, num_layers: int = 2, expansion: int = 4, layer_sca

src/model/unidepth/layers/upsample.py:83

Method__init__

(self, dim)

src/model/unidepth/layers/positional_encoding.py:75

Method__init__

( self, dim, pt_seq_len, ft_seq_len=None, custom_freqs=None, f

src/model/unidepth/layers/positional_encoding.py:131

Method__init__

( self, dim, pt_seq_len, ft_seq_len=None, custom_freqs=None, f

src/model/unidepth/layers/positional_encoding.py:189

Method__init__

( self, dim: int, init_values: float | torch.Tensor = 1e-5, inplace: bool = Fa

src/model/unidepth/layers/layer_scale.py:6

Method__init__

( self, dim: int, num_heads: int = 4, dropout: float = 0.0, cosine: bo

src/model/unidepth/layers/attention.py:18

Method__init__

( self, dim: int, num_heads: int = 4, expansion: int = 4, dropout: flo

src/model/unidepth/layers/attention.py:177

Method__init__

( self, input_dim: int, expansion: int = 4, dropout: float = 0.0, gate

src/model/unidepth/layers/mlp.py:29

Method__init__

( self, dim: int, num_heads: int = 4, expansion: int = 4, dropout: flo

src/model/unidepth/layers/nystrom_attention.py:13

Method__init__

(self, input_dims: list[int], hidden_dim: int)

src/model/unidepth/unidepthv2/decoder.py:15

Method__init__

( self, hidden_dim: int, num_heads: int = 8, expansion: int = 4, dropo

src/model/unidepth/unidepthv2/decoder.py:34

Method__init__

( self, hidden_dim: int, camera_dim: int, expansion: int = 4, dropout:

src/model/unidepth/unidepthv2/decoder.py:91

Method__init__

( self, hidden_dim: int, num_heads: int = 8, expansion: int = 4, depth

src/model/unidepth/unidepthv2/decoder.py:152

Method__init__

( self, config, eps: float = 1e-6, **kwargs, )

src/model/unidepth/unidepthv2/unidepthv2.py:126

Method__init__

(self, cfg: T, dataset_cfg: DatasetCfg)

src/model/decoder/decoder.py:32

Method__init__

( self, cfg: DecoderSplattingCUDACfg, dataset_cfg: DatasetCfg, )

src/model/decoder/decoder_splatting_cuda.py:23

Method__init__

(self, **conf)

src/model/LightGlue/lightglue/disk.py:24

Method__init__

(self, **conf)

src/model/LightGlue/lightglue/sift.py:97

Method__init__

(self, **conf)

src/model/LightGlue/lightglue/utils.py:21

Method__init__

(self, M: int, dim: int, F_dim: int = None, gamma: float = 1.0)

src/model/LightGlue/lightglue/lightglue.py:62

Method__init__

(self, dim: int)

src/model/LightGlue/lightglue/lightglue.py:78

Method__init__

( self, embed_dim: int, num_heads: int, flash: bool = False, bias: bool = True )

src/model/LightGlue/lightglue/lightglue.py:134

Method__init__

( self, embed_dim: int, num_heads: int, flash: bool = False, bias: bool = True )

src/model/LightGlue/lightglue/lightglue.py:170

Method__init__

(self, *args, **kwargs)

src/model/LightGlue/lightglue/lightglue.py:228

Method__init__

(self, dim: int)

src/model/LightGlue/lightglue/lightglue.py:275

Method__init__

(self, features="superpoint", **conf)

src/model/LightGlue/lightglue/lightglue.py:370

Method__init__

(self, h: int, w: int, divis_by: int = 8)

src/model/LightGlue/lightglue/aliked.py:267

Method__init__

( self, in_channels, out_channels, kernel_size=3, stride=1, pa

src/model/LightGlue/lightglue/aliked.py:292

Method__init__

( self, in_channels, out_channels, gate: Optional[Callable[..., nn.Module]] =

src/model/LightGlue/lightglue/aliked.py:387

Method__init__

( self, inplanes: int, planes: int, stride: int = 1, downsample: Optio

src/model/LightGlue/lightglue/aliked.py:422

Method__init__

( self, dims: int, kernel_size: int = 3, n_pos: int = 8, gate=nn.ReLU(

src/model/LightGlue/lightglue/aliked.py:480

Method__init__

(self, **conf)

src/model/LightGlue/lightglue/aliked.py:637

Method__init__

(self, **conf)

src/model/LightGlue/lightglue/dog_hardnet.py:11

Method__init__

(self, **conf)

src/model/LightGlue/lightglue/superpoint.py:121

Method__init__

(self)

src/misc/step_tracker.py:13

Method__init__

(self)

src/misc/LocalLogger.py:13

Method__init__

(self)

src/misc/benchmarker.py:12

Method__init__

(self, cfg: EvaluationIndexGeneratorCfg)

src/evaluation/evaluation_index_generator.py:40

Method__init__

(self, cfg: EvaluationCfg)

src/evaluation/metric_computer.py:18

Method__init__

(self, cfg: T_wrapper)

src/loss/loss.py:20

Method__init__

(self, cfg: LossLpipsCfgWrapper)

src/loss/loss_lpips.py:30

Method__iter__

(self)

src/dataset/dataset_re10k.py:102

Method__iter__

(self)

src/dataset/dataset_dl3dv.py:103

Method__iter__

(self)

src/dataset/dataset_dl3dv_test.py:106

Method__iter__

(self)

src/dataset/dataset_re10k_test.py:79

Method__iter__

(self)

src/dataset/dataset_acid_test.py:79

Method__len__

(self)

src/dataset/dataset_re10k.py:289

Method__len__

(self)

src/dataset/dataset_dl3dv.py:292

Method__len__

(self)

src/dataset/dataset_dl3dv_test.py:295

Method__len__

(self)

src/dataset/validation_wrapper.py:22

Method__len__

(self)

src/dataset/dataset_re10k_test.py:177

Method__len__

(self)

src/dataset/dataset_acid_test.py:174

Method__repr__

(self, _repr_indent=4)

src/model/unidepth/utils/positional_embedding.py:60

Functions843 in github.com/cvlab-kaist/PF3plat