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Functions359 in github.com/Junda24/MonSter

⨍ Functions 359◇ Types & classes 92

(self, input_dim=128, hidden_dim=256, output_dim=1)

core/update.py:17

(self, hidden_dim=128, input_dim=192+128)

core/update.py:44

core/update.py:86

(self, args, hidden_dims=[])

core/update.py:117

(self, args, hidden_dims=[])

core/update.py:157

core/update.py:199

(self, args, hidden_dims=[])

core/update.py:241

core/update.py:282

(self, args, hidden_dims=[])

core/update.py:324

core/update.py:365

(self, args, hidden_dims=[])

core/update.py:387

core/update.py:430

(self, args, hidden_dims=[])

core/update.py:486

core/update.py:525

(self, gamma_min, gamma_max, gain_min=1.0, gain_max=1.0)

core/utils/augmentor.py:49

(self, crop_size, min_scale=-0.2, max_scale=0.5, do_flip=True, yjitter=False, saturation_range=[0.6,1.4], gamm

core/utils/augmentor.py:61

(self, crop_size, min_scale=-0.2, max_scale=0.5, do_flip=False, yjitter=False, saturation_range=[0.7,1.3], gam

core/utils/augmentor.py:186

(self, dims, mode='sintel', divis_by=8)

core/utils/utils.py:9

(self, height, width, fov_h=360, fov_w=180, maxDegree=1)

core/dataset/augmentor_mix_dataset.py:224

( self, image_height=384, image_width=512, max_disp=150,

core/dataset/augmentor_mix_dataset.py:286

(self, mode:str, camera_type:str, dataset_name: List[str],

core/dataset/mix_dataset.py:20

( self, image_height=384, image_width=512, max_disp=150,

core/dataset/pinhole_augmentor_mix_dataset.py:8

(self, in_feature, out_feature)

Depth-Anything-V2-list3/depth_anything_v2/dpt.py:25

( self, in_channels, features=256, use_bn=False, out_channels=[256

Depth-Anything-V2-list3/depth_anything_v2/dpt.py:168

( self, encoder='vitl', features=256, out_channels=[256, 512, 1024, 1024],

Depth-Anything-V2-list3/depth_anything_v2/dpt.py:310

( self, encoder='vitl', features=256, out_channels=[256, 512, 1024, 1024],

Depth-Anything-V2-list3/depth_anything_v2/dpt.py:397

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

Depth-Anything-V2-list3/depth_anything_v2/dinov2.py:45

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

Depth-Anything-V2-list3/depth_anything_v2/util/blocks.py:87

Init. Args: width (int): desired output width height (int): desired output height resize_target (bool, op

Depth-Anything-V2-list3/depth_anything_v2/util/transform.py:9

(self, mean, std)

Depth-Anything-V2-list3/depth_anything_v2/util/transform.py:129

Depth-Anything-V2-list3/depth_anything_v2/util/transform.py:143

(self, drop_prob=None)

Depth-Anything-V2-list3/depth_anything_v2/dinov2_layers/drop_path.py:30

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

Depth-Anything-V2-list3/depth_anything_v2/dinov2_layers/block.py:37

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

Depth-Anything-V2-list3/depth_anything_v2/dinov2_layers/layer_scale.py:17

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

Depth-Anything-V2-list3/depth_anything_v2/dinov2_layers/attention.py:30

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

Depth-Anything-V2-list3/depth_anything_v2/dinov2_layers/mlp.py:18

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

Depth-Anything-V2-list3/depth_anything_v2/dinov2_layers/swiglu_ffn.py:46

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

Depth-Anything-V2-list3/depth_anything_v2/dinov2_layers/patch_embed.py:38

core/stereo_datasets.py:124

core/stereo_datasets.py:116

Function__process_fn

(img: np.ndarray)

core/dataset/transform.py:175

core/utils/augmentor.py:57

Methodattn_residual_func

Depth-Anything-V2-list3/depth_anything_v2/dinov2_layers/block.py:83

Methodattn_residual_func

(x: Tensor, attn_bias=None)

Depth-Anything-V2-list3/depth_anything_v2/dinov2_layers/block.py:213

Functionbuild_concat_volume

(refimg_fea, targetimg_fea, maxdisp)

core/submodule.py:206

Functionbuild_correlation_volume

(refimg_fea, targetimg_fea, maxdisp)

core/submodule.py:193

Functionbuild_norm_correlation_volume

(refimg_fea, targetimg_fea, maxdisp)

core/submodule.py:178

Functioncalculate_iou

core/dataset/transform.py:10

Functioncheck_nan

(layer, input, output)

train_eth3d.py:25

Functioncheck_nan

(layer, input, output)

train_middlebury.py:24

Functioncheck_nan_grad

(layer, grad_input, grad_output)

train_eth3d.py:31

Functioncheck_nan_grad

(layer, grad_input, grad_output)

train_middlebury.py:30

Functionchromatic_augmentation

core/dataset/transform.py:17

Functionchromatic_augmentation_v2

core/dataset/transform.py:240

Functionchromatic_augmentation_v3

(l_img, r_img, rng, motion_blur_aug, albumentations_aug)

core/dataset/transform.py:258

Functioncoords_grid

(batch, ht, wd)

core/utils/utils.py:73

(*args, **kwargs)

Depth-Anything-V2-list3/depth_anything_v2/dinov2.py:130

Functionfetch_dataloader

Create the data loader for the corresponding trainign set

core/stereo_datasets.py:391

Methodffn_residual_func

Depth-Anything-V2-list3/depth_anything_v2/dinov2_layers/block.py:86

Methodffn_residual_func

(x: Tensor, attn_bias=None)

Depth-Anything-V2-list3/depth_anything_v2/dinov2_layers/block.py:216

Depth-Anything-V2-list3/depth_anything_v2/dinov2_layers/patch_embed.py:84

core/extractor.py:52

core/extractor.py:115

(self, x, dual_inp=False)

core/extractor.py:177

(self, x, dual_inp=False, num_layers=3)

core/extractor.py:279

core/extractor.py:349

core/submodule.py:29

core/submodule.py:65

core/submodule.py:100

core/submodule.py:136

core/submodule.py:234

(self, disparity_samples)

core/submodule.py:260

(self, prob_volume)

core/submodule.py:280

core/refinement.py:42

core/refinement.py:74

core/refinement.py:90

core/refinement.py:124

core/refinement.py:187

core/refinement.py:246

(self, disp_mono, disp_stereo, left_img, right_img)

core/refinement.py:398

core/refinement.py:453

(self, disp_stereo, disp_mono, feat_mix)

core/refinement.py:504

(self, disp_stereo, disp_mono, feat_mix)

core/refinement.py:548

(self, x, features)

core/monster.py:109

(self, features, stem_x_list)

core/monster.py:141

(self, features)

core/monster.py:201

Estimate disparity between pair of frames

core/monster.py:351

core/update.py:13

core/update.py:23

(self, h, cz, cr, cq, *x_list)

core/update.py:33

core/update.py:55

(self, disp, corr)

core/update.py:96

(self, net, inp, corr=None, disp=None, iter04=True, iter08=True, iter16=True, update=True)

core/update.py:133

(self, net, inp, flaw_stereo=None, disp=None, corr=None, flaw_mono=None, disp_mono=None, corr_mono=None, iter0

core/update.py:173

(self, disp, corr, flaw_stereo, disp_mono, corr_mono, flaw_mono)

core/update.py:219

(self, net, inp, flaw_stereo=None, disp=None, corr=None, confidence=None, flaw_mono=None, disp_mono=None, corr

core/update.py:257

(self, disp, corr, flaw_stereo, disp_mono, corr_mono, flaw_mono, confidence)

core/update.py:302

(self, net, inp, corr=None, disp=None, iter04=True, iter08=True, iter16=True, update=True)

core/update.py:340

(self, disp, corr)

core/update.py:375

(self, net, inp, flaw_stereo=None, disp=None, corr=None, flaw_mono=None, disp_mono=None, corr_mono=None, conf_

core/update.py:403

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