Functions — github.com/VainF/DeepLabV3Plus-Pytorch

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Functions192 in github.com/VainF/DeepLabV3Plus-Pytorch

⨍ Functions 192◇ Types & classes 46

Method__init__

(self, in_channels, out_channels, kernel_size, stride=1, padding=0, dilation=1, bi

network/_deeplab.py:88

Method__init__

(self, in_channels, out_channels, dilation)

network/_deeplab.py:112

Method__init__

(self, in_channels, out_channels)

network/_deeplab.py:121

Method__init__

(self,in_channels,out_channels,kernel_size=1,stride=1,padding=0,dilation=1,bias=False)

network/backbone/xception.py:46

Method__init__

Constructor Args: num_classes: number of classes

network/backbone/xception.py:113

Method__init__

(self, inplanes, planes, stride=1, downsample=None)

network/backbone/hrnetv2.py:31

Method__init__

(self, inplanes, planes, stride=1, downsample=None)

network/backbone/hrnetv2.py:66

Method__init__

(self, stage, output_branches, c)

network/backbone/hrnetv2.py:94

Method__init__

(self, inp, oup, stride, dilation, expand_ratio)

network/backbone/mobilenetv2.py:53

Method__init__

MobileNet V2 main class Args: num_classes (int): Number of classes width_mult (float): Width multiplier - ad

network/backbone/mobilenetv2.py:85

Method__init__

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

network/backbone/resnet.py:41

Method__init__

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

network/backbone/resnet.py:81

Method__init__

(self, root, year='2012', image_set='train',

datasets/voc.py:85

Method__init__

(self, root, split='train', mode='fine', target_type='semantic', transform=None)

datasets/cityscapes.py:73

datasets/cityscapes.py:129

Method__repr__

(self)

utils/ext_transforms.py:34

Method__repr__

(self)

utils/ext_transforms.py:58

Method__repr__

(self)

utils/ext_transforms.py:90

Method__repr__

(self)

utils/ext_transforms.py:113

Method__repr__

(self)

utils/ext_transforms.py:142

Method__repr__

(self)

utils/ext_transforms.py:203

Method__repr__

(self)

utils/ext_transforms.py:258

Method__repr__

(self)

utils/ext_transforms.py:295

Method__repr__

(self)

utils/ext_transforms.py:323

Method__repr__

(self)

utils/ext_transforms.py:395

Method__repr__

(self)

utils/ext_transforms.py:425

Method__repr__

(self)

utils/ext_transforms.py:513

Method__repr__

(self)

utils/ext_transforms.py:534

Method__repr__

(self)

utils/ext_transforms.py:557

Method_load_json

(self, path)

datasets/cityscapes.py:132

Functionbar_update

(count, block_size, total_size)

datasets/utils.py:9

Functionconvert_to_separable_conv

(module)

network/_deeplab.py:166

Methoddecode_target

(cls, target)

datasets/cityscapes.py:109

Functiondeeplabv3_hrnetv2_32

(num_classes=21, output_stride=4, pretrained_backbone=True)

network/modeling.py:131

Functiondeeplabv3_hrnetv2_48

(num_classes=21, output_stride=4, pretrained_backbone=False)

network/modeling.py:128

Functiondeeplabv3_mobilenet

Constructs a DeepLabV3 model with a MobileNetv2 backbone. Args: num_classes (int): number of classes. output_stride (int): output

network/modeling.py:154

Functiondeeplabv3_resnet101

Constructs a DeepLabV3 model with a ResNet-101 backbone. Args: num_classes (int): number of classes. output_stride (int): output

network/modeling.py:144

Functiondeeplabv3_resnet50

Constructs a DeepLabV3 model with a ResNet-50 backbone. Args: num_classes (int): number of classes. output_stride (int): output s

network/modeling.py:134

Functiondeeplabv3_xception

Constructs a DeepLabV3 model with a Xception backbone. Args: num_classes (int): number of classes. output_stride (int): output st

network/modeling.py:164

Functiondeeplabv3plus_hrnetv2_32

(num_classes=21, output_stride=4, pretrained_backbone=True)

network/modeling.py:179

Functiondeeplabv3plus_hrnetv2_48

(num_classes=21, output_stride=4, pretrained_backbone=False)

network/modeling.py:176

Functiondeeplabv3plus_mobilenet

Constructs a DeepLabV3+ model with a MobileNetv2 backbone. Args: num_classes (int): number of classes. output_stride (int): outpu

network/modeling.py:204

Functiondeeplabv3plus_resnet101

Constructs a DeepLabV3+ model with a ResNet-101 backbone. Args: num_classes (int): number of classes. output_stride (int): output

network/modeling.py:193

Functiondeeplabv3plus_resnet50

Constructs a DeepLabV3 model with a ResNet-50 backbone. Args: num_classes (int): number of classes. output_stride (int): output s

network/modeling.py:182

Functiondeeplabv3plus_xception

Constructs a DeepLabV3+ model with a Xception backbone. Args: num_classes (int): number of classes. output_stride (int): output s

network/modeling.py:214

(self, inputs, targets)

network/_deeplab.py:47

Methodforward

(self, feature)

network/_deeplab.py:74

Methodforward

(self, x)

network/_deeplab.py:100

Methodforward

(self, x)

network/_deeplab.py:128

Methodforward

(self,x)

network/backbone/xception.py:52

Methodforward

(self,inp)

network/backbone/xception.py:96

Methodforward

(self, input)

network/backbone/xception.py:219

Methodforward

(self, x)

network/backbone/hrnetv2.py:42

Methodforward

(self, x)

network/backbone/hrnetv2.py:75

Methodforward

(self, x)

network/backbone/hrnetv2.py:151

Methodforward

(self, x)

network/backbone/hrnetv2.py:257

Methodforward

(self, x)

network/backbone/mobilenetv2.py:77

Methodforward

(self, x)

network/backbone/mobilenetv2.py:169

Methodforward

(self, x)

network/backbone/resnet.py:59

Methodforward

(self, x)

network/backbone/resnet.py:98

Methodforward

(self, x)

network/backbone/resnet.py:198

Methodget_lr

(self)

utils/scheduler.py:10

Methodget_results

Overridden by subclasses

metrics/stream_metrics.py:13

Methodget_results

Returns accuracy score evaluation result. - overall accuracy - mean accuracy - mean IU - fwavacc

metrics/stream_metrics.py:57

Functionhrnetv2_48

(pretrained=False, progress=True, number_blocks=[1, 4, 3], **kwargs)

network/backbone/hrnetv2.py:302

Functionlist_dir

List all directories at a given root Args: root (str): Path to directory whose folders need to be listed prefix (bool, optional):

datasets/utils.py:85

Functionlist_files

List all files ending with a suffix at a given root Args: root (str): Path to directory whose folders need to be listed suffix (st

datasets/utils.py:106

Constructs a MobileNetV2 architecture from `"MobileNetV2: Inverted Residuals and Linear Bottlenecks" <https://arxiv.org/abs/1801.04381>`_.

network/backbone/mobilenetv2.py:176

Methodreset

Overridden by subclasses

metrics/stream_metrics.py:21

Methodreset

(self)

metrics/stream_metrics.py:82

Methodreset_all

(self)

metrics/stream_metrics.py:90

Functionresnet101

r"""ResNet-101 model from `"Deep Residual Learning for Image Recognition" <https://arxiv.org/pdf/1512.03385.pdf>`_ Args: pretrained (

network/backbone/resnet.py:261

Functionresnet152

r"""ResNet-152 model from `"Deep Residual Learning for Image Recognition" <https://arxiv.org/pdf/1512.03385.pdf>`_ Args: pretrained (

network/backbone/resnet.py:273

Functionresnet18

r"""ResNet-18 model from `"Deep Residual Learning for Image Recognition" <https://arxiv.org/pdf/1512.03385.pdf>`_ Args: pretrained (b

network/backbone/resnet.py:225

Functionresnet34

r"""ResNet-34 model from `"Deep Residual Learning for Image Recognition" <https://arxiv.org/pdf/1512.03385.pdf>`_ Args: pretrained (b

network/backbone/resnet.py:237

Functionresnet50

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

network/backbone/resnet.py:249

Functionresnext101_32x8d

r"""ResNeXt-101 32x8d model from `"Aggregated Residual Transformation for Deep Neural Networks" <https://arxiv.org/pdf/1611.05431.pdf>`_ Args

network/backbone/resnet.py:299

Functionresnext50_32x4d

r"""ResNeXt-50 32x4d model from `"Aggregated Residual Transformation for Deep Neural Networks" <https://arxiv.org/pdf/1611.05431.pdf>`_ Args:

network/backbone/resnet.py:285

Functionset_bn_momentum

(model, momentum=0.1)

utils/utils.py:26

Methodto_str

Overridden by subclasses

metrics/stream_metrics.py:17

Methodupdate

Overridden by subclasses

metrics/stream_metrics.py:9

Methodupdate

(self, label_trues, label_preds)

metrics/stream_metrics.py:33

Functionwide_resnet101_2

r"""Wide ResNet-101-2 model from `"Wide Residual Networks" <https://arxiv.org/pdf/1605.07146.pdf>`_ The model is the same as ResNet except fo

network/backbone/resnet.py:331

Functionwide_resnet50_2

r"""Wide ResNet-50-2 model from `"Wide Residual Networks" <https://arxiv.org/pdf/1605.07146.pdf>`_ The model is the same as ResNet except for

network/backbone/resnet.py:313

Functionxception

(num_classes=1000, pretrained='imagenet', replace_stride_with_dilation=None)

network/backbone/xception.py:225

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