Code
Hub
Workspaces
Following
Trending
Connect
MCP
copy
Create free account
hub
/
github.com/beibuwandeluori/DFGC_Detection
/ functions
Functions
401 in github.com/beibuwandeluori/DFGC_Detection
⨍
Functions
401
◇
Types & classes
93
Method
forward
(self, x)
data_preparation/train_baseline_model/resnet18/resnet18.py:58
Method
forward
(self, x)
data_preparation/train_baseline_model/resnet18/resnet18.py:81
Method
forward
(self, x)
data_preparation/train_baseline_model/vgg19_vgg19_bn/vgg19_bn.py:58
Method
forward
(self, x)
data_preparation/train_baseline_model/vgg19_vgg19_bn/vgg19_bn.py:81
Method
forward
(self, x)
data_preparation/train_baseline_model/vgg19_vgg19_bn/vgg19.py:58
Method
forward
(self, x)
data_preparation/train_baseline_model/vgg19_vgg19_bn/vgg19.py:81
Method
forward
(self, x)
data_preparation/train_baseline_model/resnet34_resnet50_vgg16_vgg16_bn/resnet34.py:58
Method
forward
(self, x)
data_preparation/train_baseline_model/resnet34_resnet50_vgg16_vgg16_bn/resnet34.py:81
Method
forward
(self, x)
data_preparation/train_baseline_model/resnet34_resnet50_vgg16_vgg16_bn/resnet50.py:58
Method
forward
(self, x)
data_preparation/train_baseline_model/resnet34_resnet50_vgg16_vgg16_bn/resnet50.py:81
Method
forward
(self, x)
data_preparation/train_baseline_model/resnet34_resnet50_vgg16_vgg16_bn/vgg16.py:58
Method
forward
(self, x)
data_preparation/train_baseline_model/resnet34_resnet50_vgg16_vgg16_bn/vgg16.py:81
Method
forward
(self, x)
data_preparation/train_baseline_model/resnet34_resnet50_vgg16_vgg16_bn/vgg16_bn.py:58
Method
forward
(self, x)
data_preparation/train_baseline_model/resnet34_resnet50_vgg16_vgg16_bn/vgg16_bn.py:81
Method
forward
(self, input)
data_preparation/generate_adversarial/attack_ensemble_example2.py:30
Method
forward
(self, input)
data_preparation/generate_adversarial/attack_ensemble_example2.py:44
Method
forward
(self, input)
data_preparation/generate_adversarial/attack_ensemble_example2.py:54
Method
forward
(self, x)
data_preparation/generate_adversarial/attack_ensemble_example2.py:117
Method
forward
(self, input)
data_preparation/generate_adversarial/attack_ensemble_example3.py:28
Method
forward
(self, input)
data_preparation/generate_adversarial/attack_ensemble_example3.py:42
Method
forward
(self, input)
data_preparation/generate_adversarial/attack_ensemble_example3.py:52
Method
forward
(self, x)
data_preparation/generate_adversarial/attack_ensemble_example3.py:116
Method
forward
(self, input)
data_preparation/generate_adversarial/attack_ensemble_example5.py:28
Method
forward
(self, input)
data_preparation/generate_adversarial/attack_ensemble_example5.py:42
Method
forward
(self, input)
data_preparation/generate_adversarial/attack_ensemble_example5.py:52
Method
forward
(self, x)
data_preparation/generate_adversarial/attack_ensemble_example5.py:115
Method
forward
(self, input)
data_preparation/generate_adversarial/attack_ensemble_example1.py:29
Method
forward
(self, input)
data_preparation/generate_adversarial/attack_ensemble_example1.py:43
Method
forward
(self, input)
data_preparation/generate_adversarial/attack_ensemble_example1.py:53
Method
forward
(self, x)
data_preparation/generate_adversarial/attack_ensemble_example1.py:117
Method
forward
(self, input)
data_preparation/generate_adversarial/attack_ensemble_example4.py:28
Method
forward
(self, input)
data_preparation/generate_adversarial/attack_ensemble_example4.py:42
Method
forward
(self, input)
data_preparation/generate_adversarial/attack_ensemble_example4.py:52
Method
forward
(self, x)
data_preparation/generate_adversarial/attack_ensemble_example4.py:115
Method
forward
(self, x)
data_preparation/generate_adversarial/models/xception.py:39
Method
forward
(self, inp)
data_preparation/generate_adversarial/models/xception.py:84
Method
forward
(self, input)
data_preparation/generate_adversarial/models/xception.py:182
Method
forward
(self, x)
data_preparation/generate_adversarial/models/vgg19_bn.py:58
Method
forward
(self, x)
data_preparation/generate_adversarial/models/vgg19_bn.py:81
Method
forward
(self, x)
data_preparation/generate_adversarial/models/resnet34.py:58
Method
forward
(self, x)
data_preparation/generate_adversarial/models/resnet34.py:81
Method
forward
(self, x)
data_preparation/generate_adversarial/models/resnet50.py:58
Method
forward
(self, x)
data_preparation/generate_adversarial/models/resnet50.py:81
Method
forward
(self, x)
data_preparation/generate_adversarial/models/vgg16.py:58
Method
forward
(self, x)
data_preparation/generate_adversarial/models/vgg16.py:81
Method
forward
(self, x)
data_preparation/generate_adversarial/models/vgg16_bn.py:58
Method
forward
(self, x)
data_preparation/generate_adversarial/models/vgg16_bn.py:81
Method
forward
(self, x)
data_preparation/generate_adversarial/models/vgg19.py:58
Method
forward
(self, x)
data_preparation/generate_adversarial/models/vgg19.py:81
Method
forward
(self, x, target)
loss/losses.py:12
Method
forward
(self, output1, output2, label)
loss/losses.py:41
Function
get_default_mask
Set the default mask for cli
dataset/DeepFakeMask.py:32
Method
get_image_size
Get the input image size for a given efficientnet model. Args: model_name (str): Name for efficientnet. Returns:
submission_Det/efficientnet.py:396
Function
get_same_padding_maxPool2d
Chooses static padding if you have specified an image size, and dynamic padding otherwise. Static padding is necessary for ONNX exporting of mo
submission_Det/utils.py:275
Function
init_imagenet_weight
(_conv_stem_weight, input_channel=3)
network/models.py:22
Function
load_landmarks
:param landmarks_file: input landmarks json file name :return: all_landmarks: having the shape of 5x2 list. represent left eye,
data_preparation/train_baseline_model/resnet34_resnet50_vgg16_vgg16_bn/celeb_df_v2_dataset.py:22
Function
load_network
(network, save_filename)
data_preparation/train_baseline_model/resnet18/train_binary_resnet18.py:32
Function
load_network
(network, save_filename)
data_preparation/train_baseline_model/vgg19_vgg19_bn/train_binary_vgg19.py:32
Function
load_network
(network, save_filename)
data_preparation/train_baseline_model/vgg19_vgg19_bn/train_binary_vgg19_bn.py:32
Function
load_network
(network, save_filename)
data_preparation/train_baseline_model/resnet34_resnet50_vgg16_vgg16_bn/train_binary_resnet34.py:32
Function
load_network
(network, save_filename)
data_preparation/train_baseline_model/resnet34_resnet50_vgg16_vgg16_bn/train_binary_resnet50.py:32
Function
load_network
(network, save_filename)
data_preparation/train_baseline_model/resnet34_resnet50_vgg16_vgg16_bn/train_binary_vgg16_bn.py:32
Function
load_network
(network, save_filename)
data_preparation/train_baseline_model/resnet34_resnet50_vgg16_vgg16_bn/train_binary_vgg16.py:32
Method
load_real_video_json
(self)
data_preparation/train_baseline_model/vgg19_vgg19_bn/celeb_df_v2_dataset.py:102
Function
save_landmarks
(input_dir, save_dir)
data_preparation/extract_face/generate_landmarks_dlib.py:24
Method
search_similar_face
(self, video_name, this_landmark)
data_preparation/train_baseline_model/vgg19_vgg19_bn/celeb_df_v2_dataset.py:113
Method
set_swish
Sets swish function as memory efficient (for training) or standard (for export). Args: memory_efficient (bool): Whether to use me
submission_Det/efficientnet.py:235
Function
show_metrics
(labels, outputs, preds=None, describe='Image')
dataset/utils.py:161
Method
tensor_flip
img size: [H, W] :return a flipped list
dataset/utils.py:73
Method
tensor_inverse_flip
img size: [H, W] :return a flipped list
utils/utils.py:68
Method
tensor_inverse_flip
img size: [H, W] :return a flipped list
dataset/utils.py:81
Method
tensor_inverse_rotation
img size: [H, W] rotation degree: [90 180 270] :return a rotated list
utils/utils.py:51
Method
tensor_inverse_rotation
img size: [H, W] rotation degree: [90 180 270] :return a rotated list
dataset/utils.py:64
Method
tensor_rotation
img size: [H, W] rotation degree: [90 180 270] :return a rotated list
dataset/utils.py:55
Function
weights_init_classifier
(m)
data_preparation/train_baseline_model/resnet18/resnet18.py:22
Function
weights_init_classifier
(m)
data_preparation/train_baseline_model/vgg19_vgg19_bn/vgg19_bn.py:22
Function
weights_init_classifier
(m)
data_preparation/train_baseline_model/vgg19_vgg19_bn/vgg19.py:22
Function
weights_init_classifier
(m)
data_preparation/train_baseline_model/resnet34_resnet50_vgg16_vgg16_bn/resnet34.py:22
Function
weights_init_classifier
(m)
data_preparation/train_baseline_model/resnet34_resnet50_vgg16_vgg16_bn/resnet50.py:22
Function
weights_init_classifier
(m)
data_preparation/train_baseline_model/resnet34_resnet50_vgg16_vgg16_bn/vgg16.py:22
Function
weights_init_classifier
(m)
data_preparation/train_baseline_model/resnet34_resnet50_vgg16_vgg16_bn/vgg16_bn.py:22
Function
weights_init_classifier
(m)
data_preparation/generate_adversarial/models/vgg19_bn.py:22
Function
weights_init_classifier
(m)
data_preparation/generate_adversarial/models/resnet34.py:22
Function
weights_init_classifier
(m)
data_preparation/generate_adversarial/models/resnet50.py:22
Function
weights_init_classifier
(m)
data_preparation/generate_adversarial/models/vgg16.py:22
Function
weights_init_classifier
(m)
data_preparation/generate_adversarial/models/vgg16_bn.py:22
Function
weights_init_classifier
(m)
data_preparation/generate_adversarial/models/vgg19.py:22
Function
weights_init_kaiming
(m)
network/models.py:8
Function
weights_init_kaiming
(m)
data_preparation/train_baseline_model/resnet18/resnet18.py:9
Function
weights_init_kaiming
(m)
data_preparation/train_baseline_model/vgg19_vgg19_bn/vgg19_bn.py:9
Function
weights_init_kaiming
(m)
data_preparation/train_baseline_model/vgg19_vgg19_bn/vgg19.py:9
Function
weights_init_kaiming
(m)
data_preparation/train_baseline_model/resnet34_resnet50_vgg16_vgg16_bn/resnet34.py:9
Function
weights_init_kaiming
(m)
data_preparation/train_baseline_model/resnet34_resnet50_vgg16_vgg16_bn/resnet50.py:9
Function
weights_init_kaiming
(m)
data_preparation/train_baseline_model/resnet34_resnet50_vgg16_vgg16_bn/vgg16.py:9
Function
weights_init_kaiming
(m)
data_preparation/train_baseline_model/resnet34_resnet50_vgg16_vgg16_bn/vgg16_bn.py:9
Function
weights_init_kaiming
(m)
data_preparation/generate_adversarial/models/vgg19_bn.py:9
Function
weights_init_kaiming
(m)
data_preparation/generate_adversarial/models/resnet34.py:9
Function
weights_init_kaiming
(m)
data_preparation/generate_adversarial/models/resnet50.py:9
Function
weights_init_kaiming
(m)
data_preparation/generate_adversarial/models/vgg16.py:9
Function
weights_init_kaiming
(m)
data_preparation/generate_adversarial/models/vgg16_bn.py:9
← previous
next →
301–400 of 401, ranked by callers