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Functions198 in github.com/HSG-AIML/MaskedSST

⨍ Functions 198◇ Types & classes 49

src/utils.py:333

(self, path, img_transforms, label_transform, device, pixel_location_file=None, num_samples_per_class=None, pa

src/data_enmap.py:147

(self, use_clipped=True)

src/data_enmap.py:313

src/data_enmap.py:465

src/data_enmap.py:507

src/data_enmap.py:525

src/data_enmap.py:554

src/data_houston2018.py:333

Move unclassified class 0 to -1 valid range: 0-19

src/data_houston2018.py:455

(self, dim, fn)

src/vit_spatial_spectral.py:23

(self, dim, hidden_dim, dropout=0.0)

src/vit_spatial_spectral.py:33

(self, dim, heads=8, dim_head=64, dropout=0.0)

src/vit_spatial_spectral.py:48

(self, dim, depth, heads, dim_head, mlp_dim, dropout=0.0)

src/vit_spatial_spectral.py:82

( self, *, image_size, patch_size, num_classes, dim, d

src/vit_spatial_spectral.py:108

( self, num_channels, transformer_dim, patch_depth, patch_height, patch_width )

src/vit_spatial_spectral.py:179

(self, dim, patch_dim, patch_depth, patch_height, patch_width)

src/vit_spatial_spectral.py:233

( self, *, image_size, spatial_patch_size, spectral_patch_size,

src/vit_spatial_spectral.py:257

src/vit_spatial_spectral.py:568

src/vit_spatial_spectral.py:580

src/vit_spatial_spectral.py:592

( self, *, image_size, spatial_patch_size, spectral_patch_size,

src/vit_spatial_spectral.py:601

(self, start_dim, end_dim)

src/vit_spatial_spectral.py:813

src/vit_spatial_spectral.py:823

(self, input_channels, n_classes, dropout=False)

DeepHyperX/models.py:216

(self, input_channels, n_classes, patch_size=5, dilation=1)

DeepHyperX/models.py:311

(self, in_channels, n_classes)

DeepHyperX/models.py:399

(self, input_channels, n_classes, patch_size=27, n_planes=32)

DeepHyperX/models.py:487

(self, input_channels, n_classes, n_planes=2, patch_size=5)

DeepHyperX/models.py:547

(self, input_channels, n_classes, patch_size=7)

DeepHyperX/models.py:604

(self, input_channels, n_classes, patch_size=3, n_planes=90)

DeepHyperX/models.py:683

(self, input_channels, n_classes, patch_size=64)

DeepHyperX/models.py:744

(self, input_channels, n_classes, patch_size=9)

DeepHyperX/models.py:823

(self, input_channels, n_classes, planes=16)

DeepHyperX/models.py:903

(self, input_channels, n_classes)

DeepHyperX/models.py:974

Args: data: 3D hyperspectral image gt: 2D array of labels patch_size: int, size of the spatial neighbourh

DeepHyperX/datasets.py:326

src/data_enmap.py:226

src/data_houston2018.py:286

DeepHyperX/datasets.py:397

Functionconvert_from_color

DeepHyperX/inference.py:143

Functionconvert_from_color

DeepHyperX/main.py:266

(self, x, block_indices)

src/vit_simmim_original.py:21

src/vit_simmim_original.py:72

src/vit_simmim_original.py:203

(self, x, **kwargs)

src/vit_original.py:24

src/vit_original.py:39

src/vit_original.py:63

src/vit_original.py:96

src/vit_original.py:181

(self, x, **kwargs)

src/vit_spatial_spectral.py:28

src/vit_spatial_spectral.py:43

src/vit_spatial_spectral.py:67

src/vit_spatial_spectral.py:100

src/vit_spatial_spectral.py:161

src/vit_spatial_spectral.py:224

src/vit_spatial_spectral.py:249

src/vit_spatial_spectral.py:536

src/vit_spatial_spectral.py:571

src/vit_spatial_spectral.py:584

src/vit_spatial_spectral.py:596

src/vit_spatial_spectral.py:748

src/vit_spatial_spectral.py:808

src/vit_spatial_spectral.py:818

src/vit_spatial_spectral.py:826

DeepHyperX/models.py:229

DeepHyperX/models.py:285

DeepHyperX/models.py:373

DeepHyperX/models.py:436

DeepHyperX/models.py:518

DeepHyperX/models.py:580

DeepHyperX/models.py:649

DeepHyperX/models.py:719

DeepHyperX/models.py:793

DeepHyperX/models.py:867

DeepHyperX/models.py:951

DeepHyperX/models.py:983

Functionget_1d_sincos_pos_embed_from_grid_torch

embed_dim: output dimension for each position pos: a list of positions to be encoded: size (M,) out: (M, D)

src/pos_embed.py:66

Functionget_random_pos

Return the corners of a random window in the input image Args: img: 2D (or more) image, e.g. RGB or grayscale image window_shape

DeepHyperX/utils.py:205

Functioninterpolate_pos_embed

(model, checkpoint_model)

src/pos_embed.py:92

Functionpadding_image

Padding an input image. Modified at 2020.11.16. If you find any issues, please email at mengxue_zhang@hhu.edu.cn with details. Args:

DeepHyperX/utils.py:225

src/data_enmap.py:459

src/data_enmap.py:503

src/data_enmap.py:514

src/data_enmap.py:582

src/data_houston2018.py:447

Methodupdate_to

b : int, optional Number of blocks transferred so far [default: 1]. bsize : int, optional Size of each bloc

DeepHyperX/datasets.py:85

Functionvalidate_downstream

( config, epoch, model, val_dataloader, criterion, acc_criterion, step, best_v

src/utils.py:477

Methodweight_init

DeepHyperX/models.py:211

Methodweight_init

DeepHyperX/models.py:252

Methodweight_init

DeepHyperX/models.py:306

Methodweight_init

DeepHyperX/models.py:394

Methodweight_init

DeepHyperX/models.py:480

Methodweight_init

DeepHyperX/models.py:542

Methodweight_init

DeepHyperX/models.py:599

Methodweight_init

DeepHyperX/models.py:678

Methodweight_init

DeepHyperX/models.py:739

Methodweight_init

DeepHyperX/models.py:818

Methodweight_init

DeepHyperX/models.py:898

Methodweight_init

DeepHyperX/models.py:968

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