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Functions280 in github.com/csxmli2016/DFDNet

⨍ Functions 280◇ Types & classes 58
↓ 1 callersMethodrun_master
Main entry for the master device in each forward pass. The messages were first collected from each devices (including the master devi
sync_batchnorm/comm.py:102
↓ 1 callersMethodrun_slave
(self, msg)
sync_batchnorm/comm.py:49
↓ 1 callersFunctionsave_crop
(visuals, save_path)
util/visualizer.py:45
↓ 1 callersMethodset_input
(self, input)
models/test_model.py:36
↓ 1 callersMethodsetup
(self, opt, parser=None)
models/base_model.py:39
↓ 1 callersFunctionshuffle_lr
Shuffle the points left-right according to the axis of symmetry of the object. Arguments: parts {torch.tensor} -- a 3D or 4D object c
FaceLandmarkDetection/face_alignment/utils.py:173
↓ 1 callersMethodtest
(self)
models/base_model.py:55
FunctionCreateDataLoader
(opt)
data/__init__.py:46
FunctionIOU
(ax1, ay1, ax2, ay2, bx1, by1, bx2, by2)
FaceLandmarkDetection/face_alignment/detection/sfd/bbox.py:17
FunctionVisualFeature
(input_feature, imtype=np.uint8)
util/util.py:104
Method__call__
(self, module, input)
models/networks.py:264
Method__getitem__
(self, index)
data/unaligned_dataset.py:28
Method__getitem__
(self, index)
data/aligned_dataset.py:80
Method__getitem__
(self, index)
data/image_folder.py:58
Method__getitem__
(self, index)
data/single_dataset.py:23
Method__getstate__
(self)
sync_batchnorm/comm.py:78
Method__init__
(self)
data/base_data_loader.py:2
Method__init__
(self)
data/base_dataset.py:7
Method__init__
(self, root, transform=None, return_paths=False, loader=default_loader)
data/image_folder.py:44
Method__init__
(self)
options/base_options.py:10
Method__init__
(self)
sync_batchnorm/comm.py:21
Method__init__
(self, num_features, eps=1e-5, momentum=0.1)
sync_batchnorm/batchnorm_reimpl.py:27
Method__init__
(self, num_features, eps=1e-5, momentum=0.1, affine=True)
sync_batchnorm/batchnorm.py:52
Method__init__
(self, in_channels,conv_layer=nn.Conv2d, norm_layer=nn.BatchNorm2d, kernel_size=3, dilation=[1,1,1,1], bias=Tr
models/networks.py:161
Method__init__
(self, in_channel)
models/networks.py:179
Method__init__
(self, name)
models/networks.py:246
Method__init__
(self, *args, **kwargs)
models/networks.py:273
Method__init__
(self, channel)
models/networks.py:283
Method__init__
(self, in_channel, out_channel, kernel_size=3, padding=1,upsample=False)
models/networks.py:290
Method__init__
(self, weight_path='./weights/vgg19.pth')
models/networks.py:361
Method__init__
(self, ngf=64, dictionary_path='./DictionaryCenter512')
models/networks.py:424
Method__init__
(self, dim, conv_layer = nn.Conv2d, norm_layer = nn.BatchNorm2d)
models/networks.py:618
Method__init__
(self, select_layer = ['0','5','10','19'])
models/networks.py:633
Method__init__
(self, technique='cyclegan', verbose=True)
util/get_data.py:29
Method__init__
(self, web_dir, title, reflesh=0)
util/html.py:7
Method__init__
(self, opt)
util/visualizer.py:116
Method__init__
(self)
util/Loss.py:26
Method__init__
(self)
util/Loss.py:36
Method__init__
(self, pool_size)
util/image_pool.py:6
Method__init__
(self, landmarks_type, network_size=NetworkSize.LARGE, device='cuda', flip_input=False, face
FaceLandmarkDetection/face_alignment/api.py:54
Method__init__
(self, in_planes, out_planes)
FaceLandmarkDetection/face_alignment/models.py:14
Method__init__
(self, inplanes, planes, stride=1, downsample=None)
FaceLandmarkDetection/face_alignment/models.py:62
Method__init__
(self, num_modules, depth, num_features)
FaceLandmarkDetection/face_alignment/models.py:99
Method__init__
(self, block=Bottleneck, layers=[3, 8, 36, 3], num_classes=68)
FaceLandmarkDetection/face_alignment/models.py:206
Method__init__
(self, device, verbose)
FaceLandmarkDetection/face_alignment/detection/core.py:19
Method__init__
(self, device, path_to_detector=None, verbose=False)
FaceLandmarkDetection/face_alignment/detection/dlib/dlib_detector.py:15
Method__init__
(self, device, path_to_detector=None, verbose=False)
FaceLandmarkDetection/face_alignment/detection/folder/folder_detector.py:19
Method__init__
(self, n_channels, scale=1.0)
FaceLandmarkDetection/face_alignment/detection/sfd/net_s3fd.py:7
Method__init__
(self, device, path_to_detector=None, verbose=False)
FaceLandmarkDetection/face_alignment/detection/sfd/sfd_detector.py:17
Method__int__
(self)
FaceLandmarkDetection/face_alignment/api.py:43
Method__iter__
(self)
data/__init__.py:76
Method__len__
(self)
data/base_dataset.py:20
Method__len__
(self)
data/__init__.py:73
Method__len__
(self)
data/unaligned_dataset.py:58
Method__len__
(self)
data/aligned_dataset.py:133
Method__len__
(self)
data/image_folder.py:68
Method__len__
(self)
data/single_dataset.py:38
Method__new__
(cls, value)
FaceLandmarkDetection/face_alignment/api.py:38
Method__patch_instance_norm_state_dict
(self, state_dict, module, keys, i=0)
models/base_model.py:104
Method__setstate__
(self, state)
sync_batchnorm/comm.py:81
Method_check_input_dim
(self, input)
sync_batchnorm/batchnorm.py:267
Method_check_input_dim
(self, input)
sync_batchnorm/batchnorm.py:331
Method_data_parallel_master
Reduce the sum and square-sum, compute the statistics, and broadcast it.
sync_batchnorm/batchnorm.py:105
Functionadaptive_instance_normalization
(content_feat, style_feat)
models/networks.py:107
MethodassertTensorClose
(self, x, y)
sync_batchnorm/unittest.py:16
Methodbackward
(ctx, gradgrad_output)
models/networks.py:201
Methodbackward
(ctx, grad_output)
models/networks.py:220
Functionbboxlog
(x1, y1, x2, y2, axc, ayc, aww, ahh)
FaceLandmarkDetection/face_alignment/detection/sfd/bbox.py:30
Functionbboxloginv
(dx, dy, dw, dh, axc, ayc, aww, ahh)
FaceLandmarkDetection/face_alignment/detection/sfd/bbox.py:37
Functiondefault_loader
(path)
data/image_folder.py:38
Functiondefine_G
(which_model_netG, gpu_ids=[])
models/networks.py:138
Methoddetect_from_image
(self, tensor_or_path)
FaceLandmarkDetection/face_alignment/detection/dlib/dlib_detector.py:46
Methoddetect_from_image
(self, tensor_or_path)
FaceLandmarkDetection/face_alignment/detection/folder/folder_detector.py:22
Methoddetect_from_image
(self, tensor_or_path)
FaceLandmarkDetection/face_alignment/detection/sfd/sfd_detector.py:31
Functiondiagnose_network
(net, name='network')
util/util.py:45
Functiondisplay_current_results
(writer,visuals,losses,step,save_result)
util/util.py:92
Methoddisplay_current_results
(self, visuals, epoch, save_result)
util/visualizer.py:146
Functionencode
Encode the variances from the priorbox layers into the ground truth boxes we have matched (based on jaccard overlap) with the prior boxes. A
FaceLandmarkDetection/face_alignment/detection/sfd/bbox.py:67
Functionflip_detect
(net, img, device)
FaceLandmarkDetection/face_alignment/detection/sfd/detect.py:59
Methodforward
(self, input_)
sync_batchnorm/batchnorm_reimpl.py:48
Methodforward
(self, input)
sync_batchnorm/batchnorm.py:63
Methodforward
(self)
models/test_model.py:42
Methodforward
(self, x)
models/networks.py:168
Methodforward
(self, input, style)
models/networks.py:183
Methodforward
(ctx, grad_output, kernel, kernel_flip)
models/networks.py:192
Methodforward
(ctx, input, kernel, kernel_flip)
models/networks.py:212
Methodforward
(self, input)
models/networks.py:242
Methodforward
(self, input)
models/networks.py:279
Methodforward
(self, image, noise)
models/networks.py:286
Methodforward
(self, input, style)
models/networks.py:341
Methodforward
(self, x)
models/networks.py:394
Methodforward
(self,input, part_locations)
models/networks.py:509
Methodforward
(self, x)
models/networks.py:628
Methodforward
(self, x)
models/networks.py:640
Methodforward
(self,x)
util/Loss.py:11
Methodforward
(self, dis_fake, dis_real)
util/Loss.py:29
Methodforward
(self, dis_fake)
util/Loss.py:39
Methodforward
(self, x)
FaceLandmarkDetection/face_alignment/models.py:33
Methodforward
(self, x)
FaceLandmarkDetection/face_alignment/models.py:75
Methodforward
(self, x)
FaceLandmarkDetection/face_alignment/models.py:141
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