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Functions54 in github.com/LiheYoung/ST-PlusPlus

⨍ Functions 54◇ Types & classes 13
↓ 5 callersFunction_resnet
(arch, block, layers, pretrained, **kwargs)
model/backbone/resnet.py:185
↓ 4 callersMethod_make_layer
(self, block, planes, blocks, stride=1, dilate=False)
model/backbone/resnet.py:147
↓ 4 callersFunctioninit_basic_elems
(args)
main.py:167
↓ 4 callersFunctiontrain
(model, trainloader, valloader, criterion, optimizer, args)
main.py:188
↓ 3 callersFunctionASPPConv
(in_channels, out_channels, atrous_rate)
model/semseg/deeplabv3plus.py:51
↓ 3 callersMethodadd_batch
(self, predictions, gts)
utils.py:22
↓ 3 callersMethodbase_forward
(self, x)
model/semseg/base.py:13
↓ 3 callersFunctionbitget
(byteval, idx)
utils.py:35
↓ 3 callersFunctionconv1x1
(in_planes, out_planes, stride=1)
model/backbone/resnet.py:13
↓ 3 callersFunctionconv3x3
(in_planes, out_planes, stride=1, groups=1, dilation=1)
model/backbone/resnet.py:8
↓ 3 callersMethodevaluate
(self)
utils.py:26
↓ 3 callersFunctionlabel
(model, dataloader, args)
main.py:297
↓ 2 callersMethod__init__
(self, block, layers, zero_init_residual=False, groups=1, width_per_group=64, replace_stride_
model/backbone/resnet.py:100
↓ 2 callersMethod__init__
(self, in_channels, atrous_rates)
model/semseg/deeplabv3plus.py:74
↓ 2 callersMethod__init__
(self, backbone, nclass)
model/semseg/pspnet.py:9
↓ 2 callersFunctionnormalize
:param img: PIL image :param mask: PIL image, corresponding mask :return: normalized torch tensor of image and mask
dataset/transform.py:33
↓ 1 callersMethod_fast_hist
(self, label_pred, label_true)
utils.py:15
↓ 1 callersFunctionblur
(img, p=0.5)
dataset/transform.py:65
↓ 1 callersFunctioncolor_map
(dataset='pascal')
utils.py:31
↓ 1 callersFunctioncount_params
(model)
utils.py:5
↓ 1 callersFunctioncrop
(img, mask, size)
dataset/transform.py:8
↓ 1 callersFunctioncutout
(img, mask, p=0.5, size_min=0.02, size_max=0.4, ratio_1=0.3, ratio_2=1/0.3, value_min=0, value_max=
dataset/transform.py:72
↓ 1 callersFunctionhflip
(img, mask, p=0.5)
dataset/transform.py:26
↓ 1 callersFunctionmain
(args)
main.py:52
↓ 1 callersFunctionparse_args
()
main.py:22
↓ 1 callersFunctionresize
(img, mask, base_size, ratio_range)
dataset/transform.py:49
↓ 1 callersFunctionselect_reliable
(models, dataloader, args)
main.py:261
Method__getitem__
(self, item)
dataset/semi.py:52
Method__init__
(self, num_classes)
utils.py:11
Method__init__
:param name: dataset name, pascal or cityscapes :param root: root path of the dataset. :param mode: train: supervised learnin
dataset/semi.py:12
Method__init__
(self, inplanes, planes, stride=1, downsample=None, groups=1, base_width=64, dilation=1, norm
model/backbone/resnet.py:20
Method__init__
(self, inplanes, planes, stride=1, downsample=None, groups=1, base_width=64, dilation=1, norm
model/backbone/resnet.py:58
Method__init__
(self, backbone)
model/semseg/base.py:8
Method__init__
(self, backbone, nclass)
model/semseg/deeplabv3plus.py:9
Method__init__
(self, in_channels, out_channels)
model/semseg/deeplabv3plus.py:60
Method__init__
(self, backbone, nclass)
model/semseg/deeplabv2.py:9
Method__init__
(self, in_channels, out_channels)
model/semseg/pspnet.py:16
Method__init__
(self, in_channels)
model/semseg/pspnet.py:32
Method__len__
(self)
dataset/semi.py:86
Methodbase_forward
(self, x)
model/backbone/resnet.py:171
Methodbase_forward
(self, x)
model/semseg/deeplabv3plus.py:32
Methodbase_forward
(self, x)
model/semseg/deeplabv2.py:20
Methodforward
(self, x)
model/backbone/resnet.py:36
Methodforward
(self, x)
model/backbone/resnet.py:75
Methodforward
(self, x, tta=False)
model/semseg/base.py:22
Methodforward
(self, x)
model/semseg/deeplabv3plus.py:67
Methodforward
(self, x)
model/semseg/deeplabv3plus.py:92
Methodforward
(self, x)
model/semseg/pspnet.py:27
Methodforward
(self, x)
model/semseg/pspnet.py:53
Functionresnet101
(pretrained=False)
model/backbone/resnet.py:206
Functionresnet152
(pretrained=False)
model/backbone/resnet.py:211
Functionresnet18
(pretrained=False)
model/backbone/resnet.py:193
Functionresnet34
(pretrained=False)
model/backbone/resnet.py:197
Functionresnet50
(pretrained=False)
model/backbone/resnet.py:201