Functions — github.com/alinlab/SelfPatch

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Functions386 in github.com/alinlab/SelfPatch

⨍ Functions 386◇ Types & classes 81

segmentation/backbones/resnest.py:118

segmentation/backbones/resnest.py:227

(self, x, hw_shape, identity=None)

segmentation/backbones/mit.py:82

(self, x, hw_shape, identity=None)

segmentation/backbones/mit.py:149

(self, x, hw_shape)

segmentation/backbones/mit.py:239

segmentation/backbones/mit.py:393

Forward function.

segmentation/backbones/unet.py:79

Forward function.

segmentation/backbones/unet.py:140

Forward function.

segmentation/backbones/unet.py:214

segmentation/backbones/unet.py:404

segmentation/backbones/bisenetv2.py:96

segmentation/backbones/bisenetv2.py:171

segmentation/backbones/bisenetv2.py:288

segmentation/backbones/bisenetv2.py:355

segmentation/backbones/bisenetv2.py:424

(self, x_d, x_s)

segmentation/backbones/bisenetv2.py:523

segmentation/backbones/bisenetv2.py:615

segmentation/backbones/cgnet.py:38

segmentation/backbones/cgnet.py:143

segmentation/backbones/cgnet.py:180

segmentation/backbones/cgnet.py:335

segmentation/backbones/mobilenet_v3.py:245

segmentation/backbones/bisenetv1.py:77

segmentation/backbones/bisenetv1.py:122

segmentation/backbones/bisenetv1.py:196

(self, x_sp, x_cp)

segmentation/backbones/bisenetv1.py:254

segmentation/backbones/bisenetv1.py:324

Forward function.

segmentation/backbones/hrnet.py:191

Forward function.

segmentation/backbones/hrnet.py:596

segmentation/backbones/fast_scnn.py:76

segmentation/backbones/fast_scnn.py:186

(self, higher_res_feature, lower_res_feature)

segmentation/backbones/fast_scnn.py:257

segmentation/backbones/fast_scnn.py:401

Args: x (tensor): input features with shape of (num_windows*B, N, C) mask (tensor | None, Optional): mask with shape

segmentation/backbones/swin.py:78

(self, query, hw_shape)

segmentation/backbones/swin.py:177

(self, x, hw_shape)

segmentation/backbones/swin.py:354

(self, x, hw_shape)

segmentation/backbones/swin.py:451

segmentation/backbones/swin.py:736

segmentation/backbones/vit_SelfPatch.py:91

segmentation/backbones/vit_SelfPatch.py:366

segmentation/backbones/mobilenet_v2.py:166

Forward function.

segmentation/backbones/resnet.py:69

Forward function.

segmentation/backbones/resnet.py:267

Forward function.

segmentation/backbones/resnet.py:659

Methodforward_train

(self, imgs, img_metas, **kwargs)

segmentation/tools/deploy_test.py:66

Methodforward_train

(self, imgs, img_metas, **kwargs)

segmentation/tools/deploy_test.py:125

Functiongenerate_labels

(img_id, detail, out_dir)

segmentation/tools/convert_datasets/pascal_context.py:21

Functionget_params_groups

Functionget_sha

Methodglobal_avg

Functionhas_batchnorms

Methodinference

(self, data, *args, **kwargs)

segmentation/tools/torchserve/mmseg_handler.py:45

Functioninit_distributed_mode

Methodinit_weights

Initialize the weights in backbone. Args: pretrained (str, optional): Path to pre-trained weights. Defaults to No

detection/backbone/vit_SelfPatch.py:224

Methodinit_weights

segmentation/backbones/mit.py:365

Methodinit_weights

segmentation/backbones/swin.py:661

Methodinit_weights

segmentation/backbones/vit_SelfPatch.py:262

Methodinitialize

(self, context)

segmentation/tools/torchserve/mmseg_handler.py:16

Functionload_pretrained_weights

(model, pretrained_weights, checkpoint_key, model_name, patch_size)

Methodmake_res_layer

Pack all blocks in a stage into a ``ResLayer``.

segmentation/backbones/resnest.py:309

Methodmake_res_layer

Pack all blocks in a stage into a ``ResLayer``

segmentation/backbones/resnext.py:144

Functionmulti_scale

(samples, model)

Methodno_weight_decay

detection/backbone/vit_SelfPatch.py:221

segmentation/backbones/vit_SelfPatch.py:259

Methodpostprocess

segmentation/tools/torchserve/mmseg_handler.py:49

Methodpreprocess

segmentation/tools/torchserve/mmseg_handler.py:33

Functionreduce_dict

Args: input_dict (dict): all the values will be reduced average (bool): whether to do average or sum Reduce the values in the

Functionrestart_from_checkpoint

Re-start from checkpoint

Functionsave_on_master

(*args, **kwargs)

Methodsimple_test

(self, img: torch.Tensor, img_meta: Iterable, **kwargs)

segmentation/tools/deploy_test.py:69

Methodsimple_test

(self, img: torch.Tensor, img_meta: Iterable, **kwargs)

segmentation/tools/deploy_test.py:128

Methodsynchronize_between_processes

Warning: does not synchronize the deque!

Convert the model into training mode while keep normalization layer freezed.

segmentation/backbones/unet.py:417

Convert the model into training mode will keeping the normalization layer freezed.

segmentation/backbones/cgnet.py:364

(self, mode=True)

segmentation/backbones/mobilenet_v3.py:261

Convert the model into training mode will keeping the normalization layer freezed.

segmentation/backbones/hrnet.py:633

Convert the model into training mode while keep layers freezed.

segmentation/backbones/swin.py:634

(self, mode=True)

segmentation/backbones/vit_SelfPatch.py:386

(self, mode=True)

segmentation/backbones/mobilenet_v2.py:191

Convert the model into training mode while keep normalization layer freezed.

segmentation/backbones/resnet.py:676

Methodtrain_pca

Takes a covariance matrix (np.ndarray) as input.

Functionvit_base

(patch_size=16, **kwargs)

selfpatch_vision_transformer.py:356

Functionvit_small

(patch_size=16, **kwargs)

selfpatch_vision_transformer.py:350

Functionvit_tiny

(patch_size=16, **kwargs)

selfpatch_vision_transformer.py:344

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