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Functions25 in github.com/GowthamGottimukkala/I3D_Feature_Extraction_resnet

↓ 4 callersMethod_make_layer
(self, block, planes, blocks, stride, temp_conv, temp_stride, nonlocal_mod=1000)
resnet.py:156
↓ 3 callersMethod__init__
(self, block=Bottleneck, layers=[3, 4, 6, 3], num_classes=400, use_nl=False)
resnet.py:131
↓ 2 callersFunctionforward_batch
(b_data)
extract_features.py:53
↓ 1 callersFunctionforward_batch
(b_data)
extract_features_org.py:32
↓ 1 callersMethodforward_single
(self, x)
resnet.py:172
↓ 1 callersFunctiongenerate
(datasetpath, outputpath, pretrainedpath, frequency, batch_size, sample_mode)
main.py:19
↓ 1 callersFunctioni3_res50
(num_classes, pretrainedpath)
resnet.py:194
↓ 1 callersFunctionload_frame
(frame_file)
extract_features_org.py:13
↓ 1 callersFunctionload_frame
(frame_file)
extract_features.py:11
↓ 1 callersFunctionload_rgb_batch
(frames_dir, rgb_files, frame_indices)
extract_features_org.py:23
↓ 1 callersFunctionload_rgb_batch
(frames_dir, rgb_files, frame_indices)
extract_features.py:22
↓ 1 callersFunctionoversample_data
(data)
extract_features.py:30
↓ 1 callersFunctionrun
(i3d, frequency, frames_dir, batch_size, sample_mode)
extract_features.py:49
↓ 1 callersMethodset_params
(self, scale, bias, running_mean, running_var)
resnet.py:15
Method__init__
(self, num_channels, momentum=0.1, eps=1e-5)
resnet.py:8
Method__init__
(self, inplanes, planes, stride, downsample, temp_conv, temp_stride, use_nl=False)
resnet.py:44
Method__init__
(self, dim_in, dim_out, dim_inner)
resnet.py:86
Method__repr__
(self)
resnet.py:26
Methodforward
(self, x)
resnet.py:22
Methodforward
(self, x)
resnet.py:60
Methodforward
(self, x)
resnet.py:101
Methodforward
(self, batch)
resnet.py:187
Functionfreeze_bn
(m, name)
resnet.py:29
Functioni3_res50_nl
(num_classes, pretrainedpath)
resnet.py:202
Functionrun
(i3d, frequency, frames_dir, batch_size=1)
extract_features_org.py:30