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github.com/beibuwandeluori/DFGC_Detection
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Functions
401 in github.com/beibuwandeluori/DFGC_Detection
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Functions
401
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Types & classes
93
↓ 1 callers
Function
get_auc
(y_true, y_pred)
data_preparation/train_baseline_model/resnet34_resnet50_vgg16_vgg16_bn/metrics.py:6
↓ 1 callers
Function
get_available_masks
Return a list of the available masks for cli
dataset/DeepFakeMask.py:23
↓ 1 callers
Function
get_efficientnet
(model_name='efficientnet-b0', num_classes=2)
submission_Det/efficientnet.py:434
↓ 1 callers
Function
get_efficientnet
(model_name='efficientnet-b0', num_classes=2)
network/models.py:95
↓ 1 callers
Method
get_image_path
(self, video_name, label, adv_p=0.5)
dataset/dataset.py:137
↓ 1 callers
Method
get_labels
(self)
dataset/dataset.py:234
↓ 1 callers
Function
get_metrics
(y_true, y_pred)
data_preparation/train_baseline_model/resnet18/metrics.py:45
↓ 1 callers
Function
get_model_params
Get the block args and global params for a given model name. Args: model_name (str): Model's name. override_params (dict): A dict
submission_Det/utils.py:526
↓ 1 callers
Function
get_next_frame_name
(img_name_t1)
dataset/utils.py:99
↓ 1 callers
Function
get_width_and_height_from_size
Obtain height and width from x. Args: x (int, tuple or list): Data size. Returns: size: A tuple or list (H,W).
submission_Det/utils.py:153
↓ 1 callers
Method
load_image
(self)
data_preparation/train_baseline_model/resnet18/data_utils.py:119
↓ 1 callers
Method
load_image_name
(self)
data_preparation/train_baseline_model/resnet18/celeb_df_v2_dataset.py:62
↓ 1 callers
Method
load_image_name
(self)
data_preparation/train_baseline_model/vgg19_vgg19_bn/celeb_df_v2_dataset.py:78
↓ 1 callers
Method
load_image_name
(self)
data_preparation/train_baseline_model/vgg19_vgg19_bn/celeb_df_v2_dataset.py:222
↓ 1 callers
Method
load_image_name
(self)
data_preparation/train_baseline_model/resnet34_resnet50_vgg16_vgg16_bn/celeb_df_v2_dataset.py:81
↓ 1 callers
Method
load_landmarks
:param landmarks_file: input landmarks json file name :return: all_landmarks: having the shape of 64x2 list. represent left eye,
data_preparation/train_baseline_model/vgg19_vgg19_bn/celeb_df_v2_dataset.py:86
↓ 1 callers
Function
load_models
(model_names, model_paths, device_id=0)
submission_Det/model.py:79
↓ 1 callers
Function
load_pretrained_weights
Loads pretrained weights from weights path or download using url. Args: model (Module): The whole model of efficientnet. model_na
submission_Det/utils.py:579
↓ 1 callers
Method
load_real_video_json
(self)
dataset/dataset.py:215
↓ 1 callers
Method
load_val_or_test_image_paths
(self)
dataset/dataset.py:150
↓ 1 callers
Method
load_video_name
(self)
data_preparation/train_baseline_model/resnet18/celeb_df_v2_dataset.py:45
↓ 1 callers
Method
load_video_name
(self)
data_preparation/train_baseline_model/vgg19_vgg19_bn/celeb_df_v2_dataset.py:61
↓ 1 callers
Method
load_video_name
(self)
data_preparation/train_baseline_model/vgg19_vgg19_bn/celeb_df_v2_dataset.py:208
↓ 1 callers
Method
load_video_name
(self)
data_preparation/train_baseline_model/resnet34_resnet50_vgg16_vgg16_bn/celeb_df_v2_dataset.py:64
↓ 1 callers
Method
logits
(self, features)
data_preparation/generate_adversarial/models/xception.py:174
↓ 1 callers
Function
lpips_loss
(lpips, images, adv_images)
data_preparation/generate_adversarial/attacker.py:9
↓ 1 callers
Function
main
()
data_preparation/extract_face/extract_video_celeb_df_v2_yotube.py:101
↓ 1 callers
Function
main
()
data_preparation/extract_face/extract_video_celeb_df_v2.py:104
↓ 1 callers
Function
main
()
data_preparation/extract_face/generate_landmarks_dlib_celeb_df_v2.py:33
↓ 1 callers
Function
main
()
data_preparation/train_baseline_model/resnet18/train_binary_resnet18.py:63
↓ 1 callers
Function
main
()
data_preparation/train_baseline_model/resnet18/generate_txt.py:14
↓ 1 callers
Function
main
()
data_preparation/train_baseline_model/vgg19_vgg19_bn/train_binary_vgg19.py:63
↓ 1 callers
Function
main
()
data_preparation/train_baseline_model/vgg19_vgg19_bn/train_binary_vgg19_bn.py:63
↓ 1 callers
Function
main
()
data_preparation/train_baseline_model/vgg19_vgg19_bn/generate_txt.py:14
↓ 1 callers
Function
main
()
data_preparation/train_baseline_model/resnet34_resnet50_vgg16_vgg16_bn/train_binary_resnet34.py:63
↓ 1 callers
Function
main
()
data_preparation/train_baseline_model/resnet34_resnet50_vgg16_vgg16_bn/train_binary_resnet50.py:63
↓ 1 callers
Function
main
()
data_preparation/train_baseline_model/resnet34_resnet50_vgg16_vgg16_bn/generate_txt.py:22
↓ 1 callers
Function
main
()
data_preparation/train_baseline_model/resnet34_resnet50_vgg16_vgg16_bn/train_binary_vgg16_bn.py:63
↓ 1 callers
Function
main
()
data_preparation/train_baseline_model/resnet34_resnet50_vgg16_vgg16_bn/train_binary_vgg16.py:63
↓ 1 callers
Function
main
()
data_preparation/generate_adversarial/attack_ensemble_example2.py:143
↓ 1 callers
Function
main
()
data_preparation/generate_adversarial/attack_ensemble_example3.py:141
↓ 1 callers
Function
main
()
data_preparation/generate_adversarial/attack_ensemble_example5.py:140
↓ 1 callers
Function
main
()
data_preparation/generate_adversarial/attack_ensemble_example1.py:144
↓ 1 callers
Function
main
()
data_preparation/generate_adversarial/attack_ensemble_example4.py:140
↓ 1 callers
Method
merge_mask
Return the mask in requested shape
dataset/DeepFakeMask.py:64
↓ 1 callers
Method
merge_mask
Return the mask in requested shape
data_preparation/generate_adversarial/get_dlib_mask.py:33
↓ 1 callers
Function
name_resolve
(video_name)
dataset/dataset.py:80
↓ 1 callers
Function
name_resolve
(video_name)
data_preparation/train_baseline_model/vgg19_vgg19_bn/celeb_df_v2_dataset.py:26
↓ 1 callers
Function
one_hot
(size, target)
dataset/dataset.py:74
↓ 1 callers
Function
one_hot
(size, target)
data_preparation/generate_adversarial/attack_ensemble_example2.py:57
↓ 1 callers
Function
one_hot
(size, target)
data_preparation/generate_adversarial/attack_ensemble_example3.py:55
↓ 1 callers
Function
one_hot
(size, target)
data_preparation/generate_adversarial/attack_ensemble_example5.py:55
↓ 1 callers
Function
one_hot
(size, target)
data_preparation/generate_adversarial/attack_ensemble_example1.py:56
↓ 1 callers
Function
one_hot
(size, target)
data_preparation/generate_adversarial/attack_ensemble_example4.py:55
↓ 1 callers
Function
parse_args
()
data_preparation/extract_face/generate_landmarks_dlib_celeb_df_v2.py:23
↓ 1 callers
Function
parse_args
()
data_preparation/train_baseline_model/resnet34_resnet50_vgg16_vgg16_bn/generate_txt.py:13
↓ 1 callers
Function
plt_show
(images)
dataset/utils.py:90
↓ 1 callers
Function
random_erode_dilate
(mask, ksize=None)
dataset/blending.py:26
↓ 1 callers
Function
random_get_hull
(landmark,img1)
dataset/blending.py:11
↓ 1 callers
Method
read_crop_face
(self, img_name, img_folder, info)
submission_Det/model.py:32
↓ 1 callers
Function
read_png_or_jpg
(image)
dataset/blending.py:45
↓ 1 callers
Method
reset
(self)
utils/utils.py:81
↓ 1 callers
Function
round_repeats
Calculate module's repeat number of a block based on depth multiplier. Use depth_coefficient of global_params. Args: repeats (int)
submission_Det/utils.py:107
↓ 1 callers
Method
run
(self, input_dir, json_file)
submission_Det/model.py:120
↓ 1 callers
Function
save_network
(network, save_filename)
data_preparation/train_baseline_model/resnet18/train_binary_resnet18.py:26
↓ 1 callers
Function
save_network
(network, save_filename)
data_preparation/train_baseline_model/vgg19_vgg19_bn/train_binary_vgg19.py:26
↓ 1 callers
Function
save_network
(network, save_filename)
data_preparation/train_baseline_model/vgg19_vgg19_bn/train_binary_vgg19_bn.py:26
↓ 1 callers
Function
save_network
(network, save_filename)
data_preparation/train_baseline_model/resnet34_resnet50_vgg16_vgg16_bn/train_binary_resnet34.py:26
↓ 1 callers
Function
save_network
(network, save_filename)
data_preparation/train_baseline_model/resnet34_resnet50_vgg16_vgg16_bn/train_binary_resnet50.py:26
↓ 1 callers
Function
save_network
(network, save_filename)
data_preparation/train_baseline_model/resnet34_resnet50_vgg16_vgg16_bn/train_binary_vgg16_bn.py:26
↓ 1 callers
Function
save_network
(network, save_filename)
data_preparation/train_baseline_model/resnet34_resnet50_vgg16_vgg16_bn/train_binary_vgg16.py:26
↓ 1 callers
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:149
↓ 1 callers
Function
shuffle_two_array
(a, b, seed=None)
dataset/dataset.py:62
↓ 1 callers
Method
tensor_flip
img size: [H, W] :return a flipped list
utils/utils.py:60
↓ 1 callers
Method
tensor_rotation
img size: [H, W] rotation degree: [90 180 270] :return a rotated list
utils/utils.py:42
↓ 1 callers
Function
test
()
data_preparation/train_baseline_model/resnet18/resnet18.py:105
↓ 1 callers
Function
test
()
data_preparation/generate_adversarial/models/vgg19_bn.py:97
↓ 1 callers
Function
test
()
data_preparation/generate_adversarial/models/resnet34.py:105
↓ 1 callers
Function
test
()
data_preparation/generate_adversarial/models/resnet50.py:105
↓ 1 callers
Function
test
()
data_preparation/generate_adversarial/models/vgg16.py:97
↓ 1 callers
Function
test
()
data_preparation/generate_adversarial/models/vgg16_bn.py:97
↓ 1 callers
Function
test
()
data_preparation/generate_adversarial/models/vgg19.py:97
↓ 1 callers
Function
total_euclidean_distance
(a,b)
dataset/dataset.py:90
↓ 1 callers
Function
total_euclidean_distance
(a,b)
data_preparation/train_baseline_model/vgg19_vgg19_bn/celeb_df_v2_dataset.py:21
↓ 1 callers
Function
train_model
(model, criterion, optimizer, epoch)
train_3c.py:82
↓ 1 callers
Function
xception
Construct Xception.
data_preparation/generate_adversarial/models/xception.py:187
Method
__del
(self)
utils/utils.py:98
Method
__getitem__
(self, idx)
submission_Det/model.py:57
Method
__getitem__
(self, index)
dataset/dataset.py:237
Method
__getitem__
(self, index)
data_preparation/train_baseline_model/resnet18/celeb_df_v2_dataset.py:70
Method
__getitem__
(self, index)
data_preparation/train_baseline_model/resnet18/data_utils.py:102
Method
__getitem__
(self, index)
data_preparation/train_baseline_model/resnet18/data_utils.py:126
Method
__getitem__
(self, index)
data_preparation/train_baseline_model/resnet18/data_utils.py:142
Method
__getitem__
(self, index)
data_preparation/train_baseline_model/vgg19_vgg19_bn/celeb_df_v2_dataset.py:136
Method
__getitem__
(self, index)
data_preparation/train_baseline_model/vgg19_vgg19_bn/celeb_df_v2_dataset.py:230
Method
__getitem__
(self, index)
data_preparation/train_baseline_model/resnet34_resnet50_vgg16_vgg16_bn/celeb_df_v2_dataset.py:89
Method
__getitem__
(self, index)
data_preparation/generate_adversarial/attack_ensemble_example2.py:87
Method
__getitem__
(self, index)
data_preparation/generate_adversarial/attack_ensemble_example3.py:85
Method
__getitem__
(self, index)
data_preparation/generate_adversarial/attack_ensemble_example5.py:85
Method
__getitem__
(self, index)
data_preparation/generate_adversarial/attack_ensemble_example1.py:86
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