Functions — github.com/XiaoAo2019/Coseismic-landslide-detection

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Functions86 in github.com/XiaoAo2019/Coseismic-landslide-detection

⨍ Functions 86 ◇ Types & classes 23

↓ 4 callersMethod_make_layer

(self, block, planes, blocks, stride=1, dilate=False)

landsldie_detection_code/code/Unet_Resnet/src/backbone_resnet.py:125

↓ 4 callersMethodupdate

(self, **kwargs)

landsldie_detection_code/code/Unet_Resnet/distributed_utils.py:136

↓ 3 callersMethod__init__

(self, in_channels, out_channels, bilinear=True)

landsldie_detection_code/code/Unet_Resnet/src/Unet_decode.py:23

↓ 3 callersMethodadd_meter

(self, name, meter)

landsldie_detection_code/code/Unet_Resnet/distributed_utils.py:163

↓ 3 callersFunctionconv1x1

1x1 convolution

landsldie_detection_code/code/Unet_Resnet/src/backbone_resnet.py:15

↓ 2 callersFunctionGetExtent

(infile)

landsldie_detection_code/code/code_0/gdal_combine.py:10

↓ 2 callersFunctioncat_list

(images, fill_value=0)

landsldie_detection_code/code/Unet_Resnet/my_dataset.py:55

↓ 2 callersFunctioncriterion

(inputs, target, num_classes: int = 2, focal_loss: bool = True, dice_loss: bool = True)

landsldie_detection_code/code/Unet_Resnet/train_and_eval.py:11

↓ 2 callersFunctionget_transform

()

landsldie_detection_code/code/Unet_Resnet/train.py:29

↓ 2 callersMethodlog_every

(self, iterable, print_freq, header=None)

landsldie_detection_code/code/Unet_Resnet/distributed_utils.py:166

↓ 2 callersMethodupdate

(self, value, n=1)

landsldie_detection_code/code/Unet_Resnet/distributed_utils.py:83

↓ 1 callersFunctionCE_Loss

(inputs, target, ignore_index: int = -100)

landsldie_detection_code/code/Unet_Resnet/loss_function.py:23

↓ 1 callersFunctionDice_loss

(inputs, dice_target, beta=1, smooth=1e-5)

landsldie_detection_code/code/Unet_Resnet/loss_function.py:49

↓ 1 callersFunctionFocal_Loss

(inputs, target, ignore_index: int = -100, alpha=0.5, gamma=2)

landsldie_detection_code/code/Unet_Resnet/loss_function.py:33

↓ 1 callersFunctionRasterMosaic

(file_list, outpath)

landsldie_detection_code/code/code_0/gdal_combine.py:20

↓ 1 callersMethod__init__

(self, block, layers, num_classes=1000, zero_init_residual=False, groups=1, width_per_group=6

landsldie_detection_code/code/Unet_Resnet/src/backbone_resnet.py:73

↓ 1 callersMethod__init__

(self, num_classes, pretrain_backbone: bool = False)

landsldie_detection_code/code/Unet_Resnet/src/Unet_resnet50.py:69

↓ 1 callersMethod_forward_impl

(self, x)

landsldie_detection_code/code/Unet_Resnet/src/backbone_resnet.py:151

↓ 1 callersFunction_resnet

(block, layers, **kwargs)

landsldie_detection_code/code/Unet_Resnet/src/backbone_resnet.py:173

↓ 1 callersMethodappend_loss

(self, loss, val_loss=0)

landsldie_detection_code/code/Unet_Resnet/callbacks.py:25

↓ 1 callersFunctionbuild_target

build target for dice coefficient

landsldie_detection_code/code/Unet_Resnet/loss_function.py:10

↓ 1 callersMethodcompute

(self)

landsldie_detection_code/code/Unet_Resnet/distributed_utils.py:34

↓ 1 callersFunctionconv3x3

3x3 convolution with padding

landsldie_detection_code/code/Unet_Resnet/src/backbone_resnet.py:9

↓ 1 callersFunctioncreate_lr_scheduler

(optimizer, num_step: int, epochs: int,

landsldie_detection_code/code/Unet_Resnet/train_and_eval.py:77

↓ 1 callersFunctioncreate_model

(num_classes, pretrain=True)

landsldie_detection_code/code/Unet_Resnet/train.py:32

↓ 1 callersFunctiondetect_image

(image)

landsldie_detection_code/code/Unet_Resnet/predict_gdal.py:62

↓ 1 callersFunctionevaluate

(model, data_loader, device, num_classes)

landsldie_detection_code/code/Unet_Resnet/train_and_eval.py:29

↓ 1 callersFunctionis_dist_avail_and_initialized

()

landsldie_detection_code/code/Unet_Resnet/distributed_utils.py:219

↓ 1 callersMethodload_image

(self, filename)

landsldie_detection_code/code/code_0/gdal_crop.py:11

↓ 1 callersMethodload_image

(self, filename)

landsldie_detection_code/code/Unet_Resnet/predict_gdal.py:20

↓ 1 callersMethodloss_plot

(self)

landsldie_detection_code/code/Unet_Resnet/callbacks.py:38

↓ 1 callersFunctionmain

(args)

landsldie_detection_code/code/Unet_Resnet/train.py:46

↓ 1 callersFunctionmain

()

landsldie_detection_code/code/Unet_Resnet/predict_gdal.py:114

↓ 1 callersFunctionparse_args

()

landsldie_detection_code/code/Unet_Resnet/train.py:117

↓ 1 callersFunctionresnet50

r"""ResNet-50 model from `"Deep Residual Learning for Image Recognition" <https://arxiv.org/pdf/1512.03385.pdf>`_ Args: pretrained (b

landsldie_detection_code/code/Unet_Resnet/src/backbone_resnet.py:177

↓ 1 callersFunctiontrain_one_epoch

(model, optimizer, data_loader, device, epoch, lr_scheduler, print_freq=1, scaler=None)

landsldie_detection_code/code/Unet_Resnet/train_and_eval.py:48

↓ 1 callersMethodupdate

(self, a, b)

landsldie_detection_code/code/Unet_Resnet/distributed_utils.py:19

↓ 1 callersMethodwrite_image

(self, filename, img_proj, img_geotrans, img_data)

landsldie_detection_code/code/code_0/gdal_crop.py:25

↓ 1 callersMethodwrite_image

(self, filename, img_proj, img_geotrans, img_data)

landsldie_detection_code/code/Unet_Resnet/predict_gdal.py:34

Method__call__

(self, image, target)

landsldie_detection_code/code/code_0/Image_extension0.py:13

Method__call__

(self, image, target)

landsldie_detection_code/code/code_0/Image_extension0.py:22

Method__call__

(self, image, target)

landsldie_detection_code/code/code_0/Image_extension0.py:35

Method__call__

(self, img, target)

landsldie_detection_code/code/Unet_Resnet/train.py:26

Method__call__

(self, image, target)

landsldie_detection_code/code/Unet_Resnet/transforms.py:15

Method__call__

(self, image, target)

landsldie_detection_code/code/Unet_Resnet/transforms.py:21

Method__call__

(self, image, target)

landsldie_detection_code/code/Unet_Resnet/transforms.py:31

Method__call__

(self, image, target)

landsldie_detection_code/code/Unet_Resnet/transforms.py:40

Method__getattr__

(self, attr)

landsldie_detection_code/code/Unet_Resnet/distributed_utils.py:143

Method__getitem__

Args: index (int): Index Returns: tuple: (image, target) where target is the image segmentation.

landsldie_detection_code/code/Unet_Resnet/my_dataset.py:28

Method__init__

(self, transforms)

landsldie_detection_code/code/code_0/Image_extension0.py:10

Method__init__

(self, flip_prob)

landsldie_detection_code/code/code_0/Image_extension0.py:19

Method__init__

(self, rotate_prob)

landsldie_detection_code/code/code_0/Image_extension0.py:32

Method__init__

(self, num_classes)

landsldie_detection_code/code/Unet_Resnet/distributed_utils.py:15

Method__init__

(self, window_size=20, fmt=None)

landsldie_detection_code/code/Unet_Resnet/distributed_utils.py:75

Method__init__

(self, delimiter="\t")

landsldie_detection_code/code/Unet_Resnet/distributed_utils.py:132

Method__init__

(self, mean=(0.485, 0.456, 0.406), std=(0.229, 0.224, 0.225))

landsldie_detection_code/code/Unet_Resnet/train.py:20

Method__init__

(self, transforms)

landsldie_detection_code/code/Unet_Resnet/transforms.py:12

Method__init__

(self, mean, std)

landsldie_detection_code/code/Unet_Resnet/transforms.py:27

Method__init__

(self, height, width)

landsldie_detection_code/code/Unet_Resnet/transforms.py:36

Method__init__

(self, log_dir, val_loss_flag=True)

landsldie_detection_code/code/Unet_Resnet/callbacks.py:13

Method__init__

(self, root, transforms=None, txt_name: str = "train.txt")

landsldie_detection_code/code/Unet_Resnet/my_dataset.py:11

Method__init__

(self, in_channels, out_channels, mid_channels=None)

landsldie_detection_code/code/Unet_Resnet/src/Unet_decode.py:10

Method__init__

(self, in_channels, out_channels, bilinear=True)

landsldie_detection_code/code/Unet_Resnet/src/Unet_decode.py:47

Method__init__

(self, in_channels, num_classes)

landsldie_detection_code/code/Unet_Resnet/src/Unet_decode.py:69

Method__init__

(self, inplanes, planes, stride=1, downsample=None, groups=1, base_width=64, dilation=1, norm

landsldie_detection_code/code/Unet_Resnet/src/backbone_resnet.py:29

Method__init__

(self, model: nn.Module, return_layers: Dict[str, str])

landsldie_detection_code/code/Unet_Resnet/src/Unet_resnet50.py:41

Method__len__

(self)

landsldie_detection_code/code/Unet_Resnet/my_dataset.py:44

Method__str__

(self)

landsldie_detection_code/code/Unet_Resnet/distributed_utils.py:53

Method__str__

(self)

landsldie_detection_code/code/Unet_Resnet/distributed_utils.py:123

Method__str__

(self)

landsldie_detection_code/code/Unet_Resnet/distributed_utils.py:151

Methodavg

(self)

landsldie_detection_code/code/Unet_Resnet/distributed_utils.py:107

Methodcollate_fn

(batch)

landsldie_detection_code/code/Unet_Resnet/my_dataset.py:48

Functionf

(x)

landsldie_detection_code/code/Unet_Resnet/train_and_eval.py:87

Methodforward

(self, x1: torch.Tensor, x2: torch.Tensor)

landsldie_detection_code/code/Unet_Resnet/src/Unet_decode.py:32

Methodforward

(self, x1: torch.Tensor, x2: torch.Tensor)

landsldie_detection_code/code/Unet_Resnet/src/Unet_decode.py:56

Methodforward

(self, x)

landsldie_detection_code/code/Unet_Resnet/src/backbone_resnet.py:48

Methodforward

(self, x)

landsldie_detection_code/code/Unet_Resnet/src/backbone_resnet.py:169

Methodforward

(self, x: Tensor)

landsldie_detection_code/code/Unet_Resnet/src/Unet_resnet50.py:58

Methodforward

(self, x: torch.Tensor)

landsldie_detection_code/code/Unet_Resnet/src/Unet_resnet50.py:92

Methodglobal_avg

(self)

landsldie_detection_code/code/Unet_Resnet/distributed_utils.py:112

Methodmax

(self)

landsldie_detection_code/code/Unet_Resnet/distributed_utils.py:116

Methodmedian

(self)

landsldie_detection_code/code/Unet_Resnet/distributed_utils.py:102

Methodreset

(self)

landsldie_detection_code/code/Unet_Resnet/distributed_utils.py:30

Methodsynchronize_between_processes

Warning: does not synchronize the deque!

landsldie_detection_code/code/Unet_Resnet/distributed_utils.py:88

Methodsynchronize_between_processes

(self)

landsldie_detection_code/code/Unet_Resnet/distributed_utils.py:159

Methodvalue

(self)

landsldie_detection_code/code/Unet_Resnet/distributed_utils.py:120