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Functions965 in github.com/TARTRL/Deepfake_Detection

⨍ Functions 965◇ Types & classes 181
Method__init__
(self, in_channels_left, out_channels_left, in_channels_right, out_channels_right)
dfd/timm/models/nasnet.py:434
Method__init__
(self, num_classes=1000, in_chans=1, stem_size=96, num_features=4032, channel_multiplier=2, d
dfd/timm/models/nasnet.py:490
Method__init__
(self, hooks, named_modules)
dfd/timm/models/feature_hooks.py:7
Method__init__
(self, channel_multiplier=1.0, channel_divisor=8, channel_min=None, output_stride=32, pad_typ
dfd/timm/models/efficientnet_builder.py:203
Method__init__
(self, channel_multiplier=1.0, channel_divisor=8, channel_min=None, output_stride=32, pad_typ
dfd/timm/models/efficientnet_builder.py:375
Method__init__
(self, in_planes, out_planes, kernel_size, stride, padding=0)
dfd/timm/models/inception_resnet_v2.py:37
Method__init__
(self)
dfd/timm/models/inception_resnet_v2.py:52
Method__init__
(self, scale=1.0)
dfd/timm/models/inception_resnet_v2.py:83
Method__init__
(self)
dfd/timm/models/inception_resnet_v2.py:116
Method__init__
(self, scale=1.0)
dfd/timm/models/inception_resnet_v2.py:138
Method__init__
(self)
dfd/timm/models/inception_resnet_v2.py:165
Method__init__
(self, num_classes=1001, in_chans=3, drop_rate=0., global_pool='avg')
dfd/timm/models/inception_resnet_v2.py:226
Method__init__
(self, inplanes, planes, stride=1, downsample=None, cardinality=1, base_width=64, sk_kwargs=N
dfd/timm/models/sknet.py:95
Method__init__
(self, block_args, num_classes=1000, num_features=1280, in_chans=3, stem_size=32, channel_mul
dfd/timm/models/efficientnet.py:368
Method__init__
(self, block_args, out_indices=(0, 1, 2, 3, 4), feature_location='pre_pwl', in_chans=3, stem_
dfd/timm/models/efficientnet.py:465
Method__init__
(self, groups)
dfd/timm/models/efficientnet_blocks.py:74
Method__init__
(self, in_chs, se_ratio=0.25, reduced_base_chs=None, act_layer=nn.ReLU, gate_fn=sigmoid, divi
dfd/timm/models/efficientnet_blocks.py:94
Method__init__
(self, in_chs, out_chs, dw_kernel_size=3, stride=1, dilation=1, pad_type='', act_layer=nn.ReL
dfd/timm/models/efficientnet_blocks.py:141
Method__init__
(self, in_chs, out_chs, dw_kernel_size=3, stride=1, dilation=1, pad_type='', act_layer=nn.ReL
dfd/timm/models/efficientnet_blocks.py:203
Method__init__
(self, in_chs, out_chs, dw_kernel_size=3, stride=1, dilation=1, pad_type='', act_layer=nn.ReL
dfd/timm/models/efficientnet_blocks.py:263
Method__init__
(self, in_chs, out_chs, dw_kernel_size=3, stride=1, dilation=1, pad_type='', act_layer=nn.ReL
dfd/timm/models/efficientnet_blocks.py:354
Method__init__
(self, in_chs, out_chs, dw_kernel_size=3, stride=1, dilation=1, pad_type='', act_layer=nn.ReL
dfd/timm/models/efficientnet_blocks.py:434
Method__init__
(self, in_chs, out_chs, exp_kernel_size=3, exp_ratio=1.0, fake_in_chs=0, stride=1, dilation=1
dfd/timm/models/efficientnet_blocks.py:487
Method__init__
(self, inplanes, planes, stride=1, downsample=None, cardinality=1, base_width=64, reduce_firs
dfd/timm/models/resnet.py:118
Method__init__
(self, inplanes, planes, stride=1, downsample=None, cardinality=1, base_width=64, reduce_firs
dfd/timm/models/resnet.py:182
Method__init__
(self, drop_prob=0.1, block_size=7, gamma_scale=1.0,
dfd/timm/models/layers/drop.py:69
Method__init__
(self, channels, reduction=16, act_layer=nn.ReLU)
dfd/timm/models/layers/se.py:6
Method__init__
(self, kernel_size: int, stride=None, padding=0, ceil_mode=False, count_include_pad=True)
dfd/timm/models/layers/avg_pool2d_same.py:24
Method__init__
(self, in_channels, out_channels, kernel_size, stride=1, padding=0, dilation=1, groups=1, bia
dfd/timm/models/layers/conv2d_same.py:25
Method__init__
(self, channels, reduction=16, act_layer=nn.ReLU)
dfd/timm/models/layers/cbam.py:19
Method__init__
(self, channels, reduction=16)
dfd/timm/models/layers/cbam.py:39
Method__init__
(self, kernel_size=7)
dfd/timm/models/layers/cbam.py:51
Method__init__
(self, kernel_size=7)
dfd/timm/models/layers/cbam.py:66
Method__init__
(self, channels, spatial_kernel_size=7)
dfd/timm/models/layers/cbam.py:91
Method__init__
(self, inplace: bool = False)
dfd/timm/models/layers/activations.py:91
Method__init__
(self, inplace: bool = False)
dfd/timm/models/layers/activations.py:114
Method__init__
(self, inplace: bool = False)
dfd/timm/models/layers/activations.py:128
Method__init__
(self, inplace: bool = False)
dfd/timm/models/layers/activations.py:142
Method__init__
(self, inplace: bool = False)
dfd/timm/models/layers/activations.py:158
Method__init__
(self, channels=None, kernel_size=3, gamma=2, beta=1)
dfd/timm/models/layers/eca.py:95
Method__init__
(self, in_channels, out_channels, kernel_size=1, stride=1, dilation=1, groups=1, drop_block=N
dfd/timm/models/layers/conv_bn_act.py:11
Method__init__
(self, output_size=1)
dfd/timm/models/layers/adaptive_avgmax_pool.py:62
Method__init__
(self, output_size=1, pool_type='avg')
dfd/timm/models/layers/adaptive_avgmax_pool.py:73
Method__init__
(self, kernel_size=3, stride=1, padding=0, same=False)
dfd/timm/models/layers/median_pool.py:17
Method__init__
(self, in_channels, out_channels, kernel_size=3, stride=1, padding='', dilation=1, groups=1,
dfd/timm/models/layers/cond_conv2d.py:42
Method__init__
Selective Kernel Convolution Module As described in Selective Kernel Networks (https://arxiv.org/abs/1903.06586) with some modifications.
dfd/timm/models/layers/selective_kernel.py:53
Method__init__
(self, in_channels, out_channels, kernel_size=3, stride=1, padding='', dilation=1, depthwise=
dfd/timm/models/layers/mixed_conv2d.py:26
Method__init__
(self, base, original_pool=7)
dfd/timm/models/layers/test_time_pool.py:13
Method__init__
(self, num_features, eps=1e-5, momentum=0.1, affine=True, track_running_stats=True, num_split
dfd/timm/models/layers/split_batchnorm.py:20
Method__init__
Constructor for the LabelSmoothing module. :param smoothing: label smoothing factor
dfd/timm/loss/cross_entropy.py:10
Method__init__
(self, num_splits=3, alpha=12, smoothing=0.1)
dfd/timm/loss/jsd.py:17
Method__iter__
(self)
dfd/timm/data/loader.py:132
Method__iter__
(self)
dfd/timm/data/loader.py:242
Method__iter__
(self)
dfd/timm/data/loader.py:322
Method__iter__
(self)
dfd/timm/data/distributed_sampler.py:37
Method__len__
(self)
dfd/timm/data/loader.py:189
Method__len__
(self)
dfd/timm/data/loader.py:268
Method__len__
(self)
dfd/timm/data/loader.py:348
Method__len__
(self)
dfd/timm/data/dataset.py:110
Method__len__
(self)
dfd/timm/data/dataset.py:190
Method__len__
(self)
dfd/timm/data/dataset.py:253
Method__len__
(self)
dfd/timm/data/dataset.py:354
Method__len__
(self)
dfd/timm/data/dataset.py:524
Method__len__
(self)
dfd/timm/data/dataset.py:576
Method__len__
(self)
dfd/timm/data/dataset.py:629
Method__len__
(self)
dfd/timm/data/dataset.py:669
Method__len__
(self)
dfd/timm/data/distributed_sampler.py:50
Method__repr__
(self)
dfd/timm/data/transforms.py:162
Method__repr__
(self)
dfd/timm/data/transforms.py:207
Method__repr__
(self)
dfd/timm/data/transforms.py:239
Method__repr__
(self)
dfd/timm/data/transforms.py:257
Method__repr__
(self)
dfd/timm/data/transforms.py:277
Method__repr__
(self)
dfd/timm/models/layers/adaptive_avgmax_pool.py:94
Method__setstate__
(self, state)
dfd/timm/optim/radam.py:95
Method__setstate__
(self, state)
dfd/timm/optim/adamw.py:50
Method__setstate__
(self, state)
dfd/timm/optim/rmsprop_tf.py:51
Method__setstate__
(self, state)
dfd/timm/optim/nvnovograd.py:49
Method_collect_output_hook
(self, name, *args)
dfd/timm/models/feature_hooks.py:22
Function_enhance_increasing_level_to_arg
(level, _hparams)
dfd/timm/data/auto_augment.py:192
Function_enhance_level_to_arg
(level, _hparams)
dfd/timm/data/auto_augment.py:187
Function_filter_pretrained
(state_dict)
dfd/timm/models/densenet.py:147
Function_init_weight_goog
Weight initialization as per Tensorflow official implementations. Args: m (nn.Module): module to init n (str): module name
dfd/timm/models/efficientnet_builder.py:537
Function_natural_key
(string_)
dfd/timm/models/registry.py:41
Function_posterize_increasing_level_to_arg
(level, hparams)
dfd/timm/data/auto_augment.py:229
Function_posterize_original_level_to_arg
(level, _hparams)
dfd/timm/data/auto_augment.py:236
Function_rotate_level_to_arg
(level, _hparams)
dfd/timm/data/auto_augment.py:180
Function_shear_level_to_arg
(level, _hparams)
dfd/timm/data/auto_augment.py:200
Function_solarize_add_level_to_arg
(level, _hparams)
dfd/timm/data/auto_augment.py:255
Function_solarize_increasing_level_to_arg
(level, _hparams)
dfd/timm/data/auto_augment.py:249
Function_translate_abs_level_to_arg
(level, hparams)
dfd/timm/data/auto_augment.py:207
Function_translate_rel_level_to_arg
(level, hparams)
dfd/timm/data/auto_augment.py:214
Functionadv_inception_v3
(pretrained=False, num_classes=1000, in_chans=3, **kwargs)
dfd/timm/models/inception_v3.py:96
Functionapply_test_time_pool
(model, config, args)
dfd/timm/models/layers/test_time_pool.py:35
Methodas_sequential
(self)
dfd/timm/models/mobilenetv3.py:110
Methodas_sequential
(self)
dfd/timm/models/efficientnet.py:304
Methodas_sequential
(self)
dfd/timm/models/efficientnet.py:415
Functionauto_contrast
(img, **__)
dfd/timm/data/auto_augment.py:122
Methodbackward
(ctx, grad_output)
dfd/timm/models/layers/activations.py:42
Functionbrightness
(img, factor, **__)
dfd/timm/data/auto_augment.py:167
Functioncolor
(img, factor, **__)
dfd/timm/data/auto_augment.py:163
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