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Functions1,064 in github.com/Inception3D/TTT3R

⨍ Functions 1,064◇ Types & classes 166

(self, ROOT, *args, **kwargs)

src/dust3r/datasets/unreal4k.py:21

(self, *args, ROOT, **kwargs)

src/dust3r/datasets/hoi4d.py:14

src/dust3r/datasets/utils/cropping.py:29

(self, multiplicator, dataset)

src/dust3r/datasets/base/easy_dataset.py:63

(self, new_size, dataset)

src/dust3r/datasets/base/easy_dataset.py:95

(self, datasets)

src/dust3r/datasets/base/easy_dataset.py:147

( self, dataset, batch_size, pool_size, min_view_size, max_vie

src/dust3r/datasets/base/batched_sampler.py:19

(self, sampler: CustomRandomSampler, batch_size, drop_last=True)

src/dust3r/datasets/base/batched_sampler.py:82

( self, *, # only keyword arguments num_views=None, split=None, resol

src/dust3r/datasets/base/base_multiview_dataset.py:38

( self, *, n_cls_token=0, hooks_idx=None, dim_tokens=None, out

src/dust3r/heads/dpt_head.py:78

( self, net, has_conf=False, has_depth=False, local_feat_dim=24,

src/dust3r/heads/linear_head.py:107

(self, net, has_conf=False, has_rgb=False, has_pose=False)

src/dust3r/heads/linear_head.py:176

( self, net, has_conf=False, has_rgb=False, has_pose=False, mlp_ratio=4.0 )

src/dust3r/heads/linear_head.py:252

(self, window_size=20, fmt=None)

src/croco/utils/misc.py:35

(self, delimiter="\t")

src/croco/utils/misc.py:92

(self, enabled=True, accelerator: Accelerator = None)

src/croco/utils/misc.py:282

( self, crop_size, scale_prob=0.5, scale_xonly=True, lhth=800.0,

src/croco/stereoflow/augmentor.py:29

( self, crop_size, min_scale=-0.2, max_scale=0.5, spatial_aug_prob=0.8

src/croco/stereoflow/augmentor.py:240

(self, split, augmentor=False, crop_size=None, totensor=True)

src/croco/stereoflow/datasets_flow.py:42

(self, max_gtnorm=None)

src/croco/stereoflow/criterion.py:48

(self, max_gtnorm=10000.0, a=0.25, b=4.0)

src/croco/stereoflow/criterion.py:68

(self, max_gtnorm=None, a=3.0, b=3.0)

src/croco/stereoflow/criterion.py:90

(self, do_quantile=False)

src/croco/stereoflow/criterion.py:114

src/croco/stereoflow/criterion.py:143

src/croco/stereoflow/criterion.py:179

src/croco/stereoflow/criterion.py:238

(self, split, augmentor=False, crop_size=None, totensor=True)

src/croco/stereoflow/datasets_stereo.py:57

(self, assymetric_prob, **kwargs)

src/croco/datasets/transforms.py:43

( self, dnames, trfs="", totensor=True, normalize=True, data_dir="./data/" )

src/croco/datasets/pairs_dataset.py:128

src/croco/datasets/habitat_sim/multiview_habitat_sim_generator.py:140

( self, scene, navmesh, scene_dataset_config_file, resolution=(240, 32

src/croco/datasets/habitat_sim/multiview_habitat_sim_generator.py:145

(self, num_patches, mask_ratio)

src/croco/models/masking.py:18

(self, drop_prob: float = 0.0, scale_by_keep: bool = True)

src/croco/models/blocks.py:56

( self, dim, rope=None, num_heads=8, qkv_bias=False, attn_drop=0.0, proj_drop=0.0 )

src/croco/models/blocks.py:98

( self, dim, num_heads, mlp_ratio=4.0, qkv_bias=False, drop=0.

src/croco/models/blocks.py:153

( self, dim, rope=None, num_heads=8, qkv_bias=False, attn_drop=0.0, proj_drop=0.0 )

src/croco/models/blocks.py:195

( self, dim, num_heads, mlp_ratio=4.0, qkv_bias=False, drop=0.

src/croco/models/blocks.py:270

src/croco/models/blocks.py:326

( self, img_size=224, patch_size=16, in_chans=3, embed_dim=768,

src/croco/models/blocks.py:341

( self, *, hooks_idx=None, layer_dims=[96, 192, 384, 768], output_widt

src/croco/models/head_downstream.py:26

Build network for monocular downstream task, only using the encoder. It takes an extra argument head, that is called with the features

src/croco/models/croco_downstream.py:32

norm_pix_loss: normalize each patch by their pixel mean and variance masked: compute loss over the masked patches only

src/croco/models/criterion.py:16

(self, freq=100.0, F0=1.0)

src/croco/models/pos_embed.py:128

( self, img_size=224, # input image size patch_size=16, # patch_size mask_ra

src/croco/models/croco.py:27

Init. Args: features (int): number of features

src/croco/models/dpt_block.py:87

Init. Args: features (int): number of features

src/croco/models/dpt_block.py:153

( self, num_channels: int = 1, stride_level: int = 1, patch_size: Union[int, T

src/croco/models/dpt_block.py:297

(self, freq=100.0, F0=1.0)

src/croco/models/curope/curope2d.py:33

src/dust3r/datasets/base/batched_sampler.py:47

eval/mv_recon/base.py:48

eval/mv_recon/data.py:61

eval/mv_recon/data.py:227

eval/mv_recon/data.py:408

eval/mv_recon/dataset_utils/cropping.py:37

src/dust3r/datasets/scannetpp.py:104

src/dust3r/datasets/scannet.py:75

src/dust3r/datasets/mvs_synth.py:67

src/dust3r/datasets/eden.py:35

src/dust3r/datasets/tartanair.py:84

src/dust3r/datasets/vkitti2.py:91

src/dust3r/datasets/omniobject3d.py:83

src/dust3r/datasets/uasol.py:78

src/dust3r/datasets/urbansyn.py:27

src/dust3r/datasets/smartportraits.py:35

src/dust3r/datasets/blendedmvs.py:185

src/dust3r/datasets/megadepth.py:35

src/dust3r/datasets/dynamic_replica.py:68

src/dust3r/datasets/pointodyssey.py:108

src/dust3r/datasets/mp3d.py:53

src/dust3r/datasets/dl3dv.py:84

src/dust3r/datasets/arkitscenes.py:158

src/dust3r/datasets/hypersim.py:75

src/dust3r/datasets/threedkb.py:56

src/dust3r/datasets/mvimgnet.py:72

src/dust3r/datasets/irs.py:35

src/dust3r/datasets/waymo.py:104

src/dust3r/datasets/synscapes.py:30

src/dust3r/datasets/realestate10k.py:70

src/dust3r/datasets/bedlam.py:227

src/dust3r/datasets/co3d.py:45

src/dust3r/datasets/arkitscenes_highres.py:102

src/dust3r/datasets/mapfree.py:177

src/dust3r/datasets/spring.py:68

src/dust3r/datasets/unreal4k.py:86

src/dust3r/datasets/hoi4d.py:32

src/dust3r/datasets/utils/cropping.py:38

src/dust3r/datasets/base/easy_dataset.py:68

src/dust3r/datasets/base/easy_dataset.py:100

src/dust3r/datasets/base/easy_dataset.py:153

src/dust3r/datasets/base/batched_sampler.py:41

src/dust3r/datasets/base/base_multiview_dataset.py:83

src/croco/stereoflow/datasets_flow.py:63

src/croco/stereoflow/datasets_stereo.py:78

src/croco/datasets/pairs_dataset.py:137

src/croco/datasets/habitat_sim/multiview_habitat_sim_generator.py:256

eval/mv_recon/criterion.py:53

src/dust3r/losses.py:121

eval/mv_recon/base.py:54

eval/mv_recon/criterion.py:70

src/dust3r/losses.py:138

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