Code
Hub
Workspaces
Following
Trending
Connect
MCP
copy
Create free account
hub
/
github.com/NVIDIA/semantic-segmentation
/ functions
Functions
433 in github.com/NVIDIA/semantic-segmentation
⨍
Functions
433
◇
Types & classes
99
Function
DeepV3W38Fuse2
(num_classes, criterion)
network/mscale.py:344
Function
DeepV3X71
(num_classes, criterion)
network/mscale.py:359
Function
DeeperEffB4
(num_classes, criterion, s2s4=True)
network/mscale.py:445
Function
DeeperEffB4
(num_classes, criterion, s2s4=True)
network/deeper.py:90
Function
DeeperW38
(num_classes, criterion, s2s4=True)
network/mscale.py:435
Function
DeeperW38
(num_classes, criterion, s2s4=True)
network/deeper.py:82
Function
DeeperX71
(num_classes, criterion, s2s4=True)
network/mscale.py:440
Function
DeeperX71
(num_classes, criterion, s2s4=True)
network/deeper.py:86
Function
Down2x
(x)
network/mynn.py:60
Function
DownX
scale x to the same size as y
network/mynn.py:87
Function
Equalize
(pair, _)
datasets/randaugment.py:91
Function
Flip
(pair, _)
datasets/randaugment.py:96
Function
HRNet
(num_classes, criterion, s2s4=None)
network/mscale2.py:280
Function
HRNet
(num_classes, criterion, s2s4=None)
network/mscale.py:474
Function
HRNet
(num_classes, criterion, s2s4=None)
network/basic.py:104
Function
HRNet
(num_classes, criterion)
network/ocrnet.py:337
Function
HRNet_ASP
(num_classes, criterion, s2s4=None)
network/mscale.py:514
Function
HRNet_ASP
(num_classes, criterion, s2s4=None)
network/basic.py:109
Function
HRNet_Mscale
(num_classes, criterion)
network/ocrnet.py:341
Function
Identity
(pair, v)
datasets/randaugment.py:175
Function
Invert
(pair, _)
datasets/randaugment.py:86
Function
Posterize
(pair, v)
datasets/randaugment.py:107
Function
Posterize2
(pair, v)
datasets/randaugment.py:114
Function
Rotate
(pair, v)
datasets/randaugment.py:71
Function
Sharpness
(pair, v)
datasets/randaugment.py:139
Function
ShearX
(pair, v)
datasets/randaugment.py:25
Function
ShearY
(pair, v)
datasets/randaugment.py:32
Function
Solarize
(pair, v)
datasets/randaugment.py:101
Function
TranslateX
(pair, v)
datasets/randaugment.py:39
Function
TranslateXAbs
(pair, v)
datasets/randaugment.py:57
Function
TranslateY
(pair, v)
datasets/randaugment.py:48
Function
TranslateYAbs
(pair, v)
datasets/randaugment.py:64
Function
Up15x
(x)
network/mynn.py:65
Method
__call__
(self, img)
transforms/transforms.py:53
Method
__call__
(self, tensor)
transforms/transforms.py:64
Method
__call__
(self, img, blockout_predefined_area=False)
transforms/transforms.py:71
Method
__call__
(self,img)
transforms/transforms.py:90
Method
__call__
(self, img)
transforms/transforms.py:130
Method
__call__
(self, img)
transforms/transforms.py:141
Method
__call__
(self, img)
transforms/transforms.py:149
Method
__call__
(self, img)
transforms/transforms.py:158
Method
__call__
(self, img)
transforms/transforms.py:166
Method
__call__
(self, img)
transforms/transforms.py:178
Method
__call__
Args: img (PIL Image): Input image. Returns: PIL Image: Color jittered image.
transforms/transforms.py:352
Method
__call__
(self, img, mask)
transforms/joint_transforms.py:41
Method
__call__
(self, img, mask, centroid=None)
transforms/joint_transforms.py:143
Method
__call__
(self, img, mask)
transforms/joint_transforms.py:189
Method
__call__
(self, img, mask)
transforms/joint_transforms.py:203
Method
__call__
(self, img, mask)
transforms/joint_transforms.py:220
Method
__call__
(self, img, mask)
transforms/joint_transforms.py:257
Method
__call__
(self, img, mask)
transforms/joint_transforms.py:277
Method
__call__
(self, img, mask)
transforms/joint_transforms.py:288
Method
__call__
(self, img, mask)
transforms/joint_transforms.py:301
Method
__call__
(self, img, mask)
transforms/joint_transforms.py:330
Method
__call__
(self, img, mask)
transforms/joint_transforms.py:355
Method
__call__
(self, img, mask)
transforms/joint_transforms.py:380
Method
__call__
(self, img, mask)
transforms/joint_transforms.py:393
Method
__call__
(self, img, mask)
transforms/joint_transforms.py:427
Method
__call__
(self, img, mask, centroid=None)
transforms/joint_transforms.py:443
Method
__call__
(self, img, mask)
transforms/joint_transforms.py:489
Method
__call__
(self, img, mask)
transforms/joint_transforms.py:541
Method
__call__
:param img: PIL Input Image :param mask: PIL Input Mask :return: PIL output PIL (mask, crop) of self.crop_size
transforms/joint_transforms.py:635
Method
__call__
(self, img)
datasets/randaugment.py:212
Method
__call__
(self, img)
datasets/randaugment.py:232
Method
__call__
(self, img, mask)
datasets/randaugment.py:256
Method
__getattr__
(self, name)
utils/attr_dict.py:38
Method
__getitem__
Generate data: :return: - image: image, tensor - mask: mask, tensor - image_name: basename of file, string
datasets/base_loader.py:189
Method
__getitem__
(self, index)
datasets/nullloader.py:58
Method
__init__
:val_len: num validation images :tensorboard: push summary to tensorboard :webpage: generate a summary html page :web
utils/misc.py:212
Method
__init__
(self)
utils/misc.py:487
Method
__init__
(self, *args, **kwargs)
utils/attr_dict.py:34
Method
__init__
(self, experiment_name, html_filename)
utils/results_page.py:94
Method
__init__
(self, module, device_ids=None, output_device=None, dim=0, gather=True)
utils/my_data_parallel.py:156
Method
__init__
(self, inplanes, planes, kernel_size=3, stride=1, dilation=1, bias=False, BatchNorm=None)
network/xception.py:25
Method
__init__
(self, output_stride, BatchNorm, pretrained=True)
network/xception.py:114
Method
__init__
(self, inplanes, planes, stride=1, downsample=None)
network/hrnetv2.py:72
Method
__init__
(self, num_branches, blocks, num_blocks, num_inchannels, num_channels, fuse_method, multi_sca
network/hrnetv2.py:110
Method
__init__
(self, **kwargs)
network/hrnetv2.py:265
Method
__init__
(self)
network/mscale2.py:48
Method
__init__
(self, num_classes, trunk='wrn38', criterion=None)
network/mscale2.py:169
Method
__init__
(self, trunk_name, output_stride=8)
network/utils.py:49
Method
__init__
(self, in_planes, out_planes, kernel_size, stride=1, padding=0, norm_layer=Norm2d)
network/utils.py:146
Method
__init__
(self, in_dim, reduction_dim=256, output_stride=16, rates=(6, 12, 18))
network/utils.py:174
Method
__init__
(self, in_dim, reduction_dim=256, output_stride=16, rates=(6, 12, 18))
network/utils.py:222
Method
__init__
(self)
network/mscale.py:45
Method
__init__
(self, num_classes, trunk='wrn38', criterion=None, use_dpc=False, fuse_aspp=False, attn_2b=Fa
network/mscale.py:236
Method
__init__
(self, num_classes, trunk='wrn38', criterion=None, fuse_aspp=False, attn_2b=False)
network/mscale.py:368
Method
__init__
(self, num_classes, trunk='hrnetv2', criterion=None)
network/mscale.py:453
Method
__init__
(self, num_classes, trunk='wrn38', criterion=None, use_dpc=False, fuse_aspp=False, attn_2b=Fa
network/attnscale.py:211
Method
__init__
(self, num_classes, trunk='wrn38', criterion=None, use_dpc=False, init_all=False)
network/deepv3.py:45
Method
__init__
(self, channels, reduction)
network/SEresnext.py:74
Method
__init__
(self, inplanes, planes, groups, reduction, stride=1, downsample=None)
network/SEresnext.py:127
Method
__init__
(self, inplanes, planes, groups, reduction, stride=1, downsample=None)
network/SEresnext.py:153
Method
__init__
(self, inplanes, planes, groups, reduction, stride=1, downsample=None, base_width=4)
network/SEresnext.py:176
Method
__init__
(self, num_classes, trunk='wrn38', criterion=None)
network/deeper.py:41
Method
__init__
(self, num_classes, trunk='hrnetv2', criterion=None)
network/basic.py:42
Method
__init__
(self, cls_num=0, scale=1)
network/ocr_utils.py:29
Method
__init__
(self, in_channels, key_channels, scale=1)
network/ocr_utils.py:62
Method
__init__
(self, high_level_ch)
network/ocrnet.py:47
Method
__init__
(self, num_classes, trunk='hrnetv2', criterion=None)
network/ocrnet.py:129
← previous
next →
201–300 of 433, ranked by callers