Functions — github.com/UBC-CIC/COVID19-L3-Net

CodeHub MCPcopy Create free account

hub / github.com/UBC-CIC/COVID19-L3-Net / functions

Functions166 in github.com/UBC-CIC/COVID19-L3-Net

⨍ Functions 166◇ Types & classes 54

src/datasets/transformers/micnn_augmentor.py:164

src/datasets/open_source.py:99

src/datasets/transformers/micnn_augmentor.py:167

Functionapply_transform

(split, image, label=None, transform_name='basic', exp_dict=None)

src/datasets/transformers/__init__.py:13

Functioncollate_fn

Functioncompute_loss

(loss_name, logits, labels)

src/models/losses/__init__.py:6

Functionconfusion_binary_class

(prediction, truth)

src/models/metrics.py:108

Functiondice_loss

Dice loss. :param input: The input (predicted) :param target: The target (ground truth) :returns: the Dice score between 0 and 1.

src/models/losses/dice_loss.py:5

src/models/base_networks/unet2d.py:21

src/models/base_networks/unet2d.py:35

src/models/base_networks/unet2d.py:73

src/models/base_networks/unet2d.py:96

src/models/base_networks/segmentation_models_pytorch/encoders/xception.py:40

src/models/base_networks/segmentation_models_pytorch/encoders/inceptionv4.py:66

src/models/base_networks/segmentation_models_pytorch/encoders/inceptionresnetv2.py:67

src/models/base_networks/segmentation_models_pytorch/encoders/timm_efficientnet.py:75

src/models/base_networks/segmentation_models_pytorch/encoders/senet.py:59

src/models/base_networks/segmentation_models_pytorch/encoders/dpn.py:56

src/models/base_networks/segmentation_models_pytorch/encoders/densenet.py:41

src/models/base_networks/segmentation_models_pytorch/encoders/densenet.py:72

src/models/base_networks/segmentation_models_pytorch/encoders/mobilenet.py:51

src/models/base_networks/segmentation_models_pytorch/encoders/vgg.py:66

src/models/base_networks/segmentation_models_pytorch/encoders/efficientnet.py:55

src/models/base_networks/segmentation_models_pytorch/encoders/resnet.py:56

src/models/base_networks/segmentation_models_pytorch/pspnet/decoder.py:19

src/models/base_networks/segmentation_models_pytorch/pspnet/decoder.py:34

(self, *features)

src/models/base_networks/segmentation_models_pytorch/pspnet/decoder.py:66

src/models/base_networks/segmentation_models_pytorch/base/modules.py:62

src/models/base_networks/segmentation_models_pytorch/base/modules.py:72

src/models/base_networks/segmentation_models_pytorch/base/modules.py:101

src/models/base_networks/segmentation_models_pytorch/base/modules.py:117

src/models/base_networks/segmentation_models_pytorch/base/modules.py:122

Methodget_avg_score

src/models/metrics.py:69

Functionget_base

(base_name, exp_dict, n_classes)

src/models/base_networks/__init__.py:5

Functionget_class_map

src/datasets/transformers/trans_utils.py:8

Functionget_dataset

(dataset_dict, split, datadir, exp_dict, dataset_size=None)

src/datasets/__init__.py:20

Functionget_encoder_names

src/models/base_networks/segmentation_models_pytorch/encoders/__init__.py:47

Functionget_model

(model_dict, exp_dict=None, train_set=None)

src/models/__init__.py:9

Functionget_normalization_stats

src/datasets/transformers/trans_utils.py:63

Functionget_preprocessing_fn

(encoder_name, pretrained="imagenet")

src/models/base_networks/segmentation_models_pytorch/encoders/__init__.py:65

Functionget_thresholds_stats

src/datasets/transformers/trans_utils.py:42

Functioninitialize_decoder

src/models/base_networks/segmentation_models_pytorch/base/initialization.py:4

Functioninitialize_head

src/models/base_networks/segmentation_models_pytorch/base/initialization.py:22

Methodload_state_dict

(self, state_dict)

src/models/base_networks/segmentation_models_pytorch/encoders/xception.py:50

Methodload_state_dict

(self, state_dict, **kwargs)

src/models/base_networks/segmentation_models_pytorch/encoders/inceptionv4.py:77

Methodload_state_dict

(self, state_dict, **kwargs)

src/models/base_networks/segmentation_models_pytorch/encoders/inceptionresnetv2.py:78

Methodload_state_dict

(self, state_dict, **kwargs)

src/models/base_networks/segmentation_models_pytorch/encoders/timm_efficientnet.py:85

Methodload_state_dict

(self, state_dict, **kwargs)

src/models/base_networks/segmentation_models_pytorch/encoders/senet.py:69

Methodload_state_dict

(self, state_dict, **kwargs)

src/models/base_networks/segmentation_models_pytorch/encoders/dpn.py:70

Methodload_state_dict

(self, state_dict)

src/models/base_networks/segmentation_models_pytorch/encoders/densenet.py:87

Methodload_state_dict

(self, state_dict, **kwargs)

src/models/base_networks/segmentation_models_pytorch/encoders/mobilenet.py:61

Methodload_state_dict

(self, state_dict, **kwargs)

src/models/base_networks/segmentation_models_pytorch/encoders/efficientnet.py:79

Methodload_state_dict

(self, state_dict, **kwargs)

src/models/base_networks/segmentation_models_pytorch/encoders/resnet.py:66

Methodmake_dilated

(self, stage_list, dilation_list)

src/models/base_networks/segmentation_models_pytorch/encoders/xception.py:25

Methodmake_dilated

(self, stage_list, dilation_list)

src/models/base_networks/segmentation_models_pytorch/encoders/inceptionv4.py:52

Methodmake_dilated

(self, stage_list, dilation_list)

src/models/base_networks/segmentation_models_pytorch/encoders/_base.py:35

Methodmake_dilated

(self, stage_list, dilation_list)

src/models/base_networks/segmentation_models_pytorch/encoders/inceptionresnetv2.py:53

Methodmake_dilated

(self, stage_list, dilation_list)

src/models/base_networks/segmentation_models_pytorch/encoders/densenet.py:57

Methodmake_dilated

(self, stage_list, dilation_list)

src/models/base_networks/segmentation_models_pytorch/encoders/vgg.py:51

Methodout_channels

Return channels dimensions for each tensor of forward output of encoder

src/models/base_networks/segmentation_models_pytorch/encoders/_base.py:16

Functionpatch_first_conv

Change first convolution layer input channels. In case: in_channels == 1 or in_channels == 2 -> reuse original weights in_channels

src/models/base_networks/segmentation_models_pytorch/encoders/_utils.py:5

Inference method. Switch model to `eval` mode, call `.forward(x)` with `torch.no_grad()` Args: x: 4D torch tensor with shape (bat

src/models/base_networks/segmentation_models_pytorch/base/model.py:26

Functionpreprocess_input

( x, mean=None, std=None, input_space="RGB", input_range=None, **kwargs )

src/models/base_networks/segmentation_models_pytorch/encoders/_preprocessing.py:4

Functionreplace_strides_with_dilation

Patch Conv2d modules replacing strides with dilation

src/models/base_networks/segmentation_models_pytorch/encoders/_utils.py:39

Methodset_thread_id

(self, thread_id)

src/datasets/transformers/micnn_augmentor.py:172

Methodval_on_batch

(self, model, batch)

src/models/metrics.py:52

← previous101–166 of 166, ranked by callers