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Functions2,927 in github.com/G3H4N/GAN-Trained-Model-Detection-and-Attribution

↓ 2 callersFunctionloadData
(filename)
data_processing/show_umap_CelebA.py:8
↓ 2 callersFunctionloadData
(filename)
data_processing/CIFAR10_fake_devide_other.py:32
↓ 2 callersFunctionload_checkpoint
(ckpt_dir_or_file, map_location=None, load_best=False)
models/SVHN_real_GANship_trainsets_compare.py:140
↓ 2 callersFunctionload_checkpoint
(ckpt_dir_or_file, map_location=None, load_best=False)
models/SVHN_fake_GANship_Binary_classifier_train1.py:100
↓ 2 callersFunctionload_checkpoint
(ckpt_dir_or_file, map_location=None, load_best=False)
models/CIFAR10_model_train_multi_fake_by_backdooring_GAN_singleclass.py:130
↓ 2 callersFunctionload_checkpoint
(ckpt_dir_or_file, map_location=None, load_best=False)
models/CIFAR10_model_train_multi_fake_by_backddoring_GAN.py:130
↓ 2 callersFunctionload_checkpoint
(ckpt_dir_or_file, map_location=None, load_best=False)
models/CIFAR10_TinyImagenet_GANship_classifier_train.py:88
↓ 2 callersFunctionload_checkpoint
(ckpt_dir_or_file, map_location=None, load_best=False)
models/SVHN_fake_GANship_Binary_classifier_train2.py:100
↓ 2 callersFunctionload_checkpoint
(ckpt_dir_or_file, map_location=None, load_best=False)
models/CelebA_real_FakeORReal_testsets_onlyVGG.py:130
↓ 2 callersFunctionload_checkpoint
(ckpt_dir_or_file, map_location=None, load_best=False)
models/CIFAR10_model_train_multi_fake_by_pretrained_GAN.py:129
↓ 2 callersFunctionload_checkpoint
(ckpt_dir_or_file, map_location=None, load_best=False)
models/CelebA_real_FakeORReal_trainsets.py:130
↓ 2 callersFunctionload_checkpoint
(ckpt_dir_or_file, map_location=None, load_best=False)
models/CelebA_real_FakeORReal_testsets.py:130
↓ 2 callersFunctionload_checkpoint
(ckpt_dir_or_file, map_location=None, load_best=False)
models/model_test.py:73
↓ 2 callersFunctionload_checkpoint
(ckpt_dir_or_file, map_location=None, load_best=False)
models/SVHN_real_FakeORReal_classifier_train1.py:100
↓ 2 callersFunctionload_checkpoint
(ckpt_dir_or_file, map_location=None, load_best=False)
models/CelebA_real_FakeORReal_trainsets_noVGG.py:130
↓ 2 callersFunctionload_checkpoint
(ckpt_dir_or_file, map_location=None, load_best=False)
models/CIFAR10_model_train_multi_HALF_by_pretrained_GAN.py:129
↓ 2 callersFunctionload_checkpoint
(ckpt_dir_or_file, map_location=None, load_best=False)
models/CIFAR10_Noise_GANship_classifier_train.py:88
↓ 2 callersFunctionload_checkpoint
(ckpt_dir_or_file, map_location=None, load_best=False)
models/model_train_multi_real.py:129
↓ 2 callersFunctionload_checkpoint
(ckpt_dir_or_file, map_location=None, load_best=False)
models/Compare/SVHN_real_DUAL_classifier_train.py:99
↓ 2 callersFunctionload_checkpoint
(ckpt_dir_or_file, map_location=None, load_best=False)
models/MIA_HALF/code/data_preparation.py:77
↓ 2 callersFunctionload_checkpoint
(ckpt_dir_or_file, map_location=None, load_best=False)
models/MIA_HALF/code/Attacker_train.py:90
↓ 2 callersFunctionload_checkpoint
(ckpt_dir_or_file, map_location=None, load_best=False)
data_processing/show_t-sne_boundary_data2_FM.py:43
↓ 2 callersFunctionload_checkpoint
(ckpt_dir_or_file, map_location=None, load_best=False)
data_processing/show_t-sne_DNA.py:34
↓ 2 callersFunctionload_checkpoint
(ckpt_dir_or_file, map_location=None, load_best=False)
data_processing/show_t-sne_DNA_3D.py:34
↓ 2 callersFunctionload_checkpoint
(ckpt_dir_or_file, map_location=None, load_best=False)
data_processing/show_umap_DNA.py:34
↓ 2 callersFunctionnormalize
(X)
data_processing/show_t-sne_boundary_data2_FM.py:281
↓ 2 callersFunctionsaveData
(dir, filename, obj)
models/SVHN_real_GANship_trainsets_compare.py:124
↓ 2 callersFunctionsaveData
(dir, filename, obj)
models/CIFAR10_model_train_specified.py:113
↓ 2 callersFunctionsaveData
(dir, filename, obj)
models/posterio_GANship_testsetsTGAN_together_binaryclassify_multimge_byMstr.py:113
↓ 2 callersFunctionsaveData
(dir, filename, obj)
models/posterio_GANship_trainsets_together_binaryclassify_multimge_byMstr.py:113
↓ 2 callersFunctionsaveData
(dir, filename, obj)
models/GANStrctr_testsetsTGAN_real_multiclass_byMstr.py:113
↓ 2 callersFunctionsaveData
(dir, filename, obj)
models/CelebA_real_FakeORReal_testsets_onlyVGG.py:114
↓ 2 callersFunctionsaveData
(dir, filename, obj)
models/CelebA_real_FakeORReal_trainsets.py:114
↓ 2 callersFunctionsaveData
(dir, filename, obj)
models/CelebA_real_FakeORReal_testsets.py:114
↓ 2 callersFunctionsaveData
(dir, filename, obj)
models/posterio_GANship_testsets_together_binaryclassify_multimge_byMstr.py:113
↓ 2 callersFunctionsaveData
(dir, filename, obj)
models/posterio_GANship_testset_real_multiclass_byMstr.py:113
↓ 2 callersFunctionsaveData
(dir, filename, obj)
models/posterio_GANship_trainsets_real_multiclass_byMstr.py:113
↓ 2 callersFunctionsaveData
(dir, filename, obj)
models/CelebA_real_FakeORReal_trainsets_noVGG.py:114
↓ 2 callersFunctionsaveData
(dir, filename, obj)
models/gen_attack.py:17
↓ 2 callersFunctionsaveData
(dir, filename, obj)
models/GANStrctr_trainsets_real_multiclass_byMstr.py:113
↓ 2 callersFunctionsaveData
(dir, filename, obj)
models/GANStrctr_testsets_real_multiclass_byMstr.py:113
↓ 2 callersFunctionsaveData
(dir, filename, obj)
data_processing/FMNIST_data_devide_halfTrain.py:15
↓ 2 callersFunctionsaveData
(dir, filename, obj)
data_processing/CIFAR10_fake_devide.py:15
↓ 2 callersFunctionsaveData
(dir, filename, obj)
data_processing/SVHN_data_divide_halfTrain.py:11
↓ 2 callersFunctionsaveData
(dir, filename, obj)
data_processing/CelebA_data_divide_halfTrain.py:11
↓ 2 callersFunctionsaveData
(dir, filename, obj)
data_processing/CIFAR10_fake_devide_other.py:15
↓ 2 callersFunctionsaveData
(dir, filename, obj)
data_processing/CelebA_data_divide_sets_to_sets.py:15
↓ 2 callersFunctionsave_checkpoint
(obj, save_path, is_best=False, max_keep=None)
models/CIFAR10_model_train_specified.py:142
↓ 2 callersFunctionsave_checkpoint
(obj, save_path, is_best=False, max_keep=None)
models/classifier_train_together_multiclass.py:150
↓ 2 callersFunctionsave_checkpoint
(obj, save_path, is_best=False, max_keep=None)
models/model_train_multi.py:141
↓ 2 callersFunctionsave_checkpoint
(obj, save_path, is_best=False, max_keep=None)
models/CIFAR10_model_train_specified_HALF.py:142
↓ 2 callersFunctionsave_checkpoint
(obj, save_path, is_best=False, max_keep=None)
models/classifier_train_together.py:150
↓ 2 callersFunctionsave_checkpoint
(obj, save_path, is_best=False, max_keep=None)
models/model_train_specified.py:142
↓ 2 callersFunctionsave_checkpoint
(obj, save_path, is_best=False, max_keep=None)
models/classifier_train_strctr.py:149
↓ 2 callersFunctiontest
(net, test_real_loader)
models/CIFAR10_model_train_multi_fake_by_backdooring_GAN_singleclass.py:283
↓ 2 callersFunctiontest
(net, test_loader)
models/SVHN_other_GANship_classifier_train.py:394
↓ 2 callersFunctiontest
(net, i_index, t_index, test_loader)
models/classifier_train_multiclass_multiGAN.py:394
↓ 2 callersFunctiontest
(net, test_real_loader)
models/CIFAR10_model_train_multi_fake_by_backddoring_GAN.py:283
↓ 2 callersFunctiontest
(net, test_loader)
models/CelebA_other_GANship_classifier_train.py:393
↓ 2 callersFunctiontest
(net, test_loader)
models/FMNIST_SVHN_GANship_classifier_train.py:394
↓ 2 callersFunctiontest
(net, test_real_loader)
models/CIFAR10_model_train_multi_fake_by_pretrained_GAN.py:282
↓ 2 callersFunctiontest
(net, test_real_loader)
models/model_train_multi_real_half.py:201
↓ 2 callersFunctiontest
(net, test_loader)
models/CelebA_Noise_GANship_classifier_train.py:394
↓ 2 callersFunctiontest
(net, test_loader)
models/Noise_GANship_classifier_train.py:394
↓ 2 callersFunctiontest
(net, test_gen_loader, test_real_loader)
models/SVHN_model_train_multi.py:266
↓ 2 callersFunctiontest
(net, test_loader)
models/FMNIST_Noise_GANship_classifier_train.py:394
↓ 2 callersFunctiontest
(net, test_loader)
models/SVHN_Noise_GANship_classifier_train.py:394
↓ 2 callersFunctiontest
(net, test_gen_loader, test_real_loader)
models/FMNIST_model_train_multi.py:264
↓ 2 callersFunctiontest
(net, test_loader)
models/CelebA_FFHQ_GANship_classifier_train.py:394
↓ 2 callersFunctiontest
(net, test_gen_loader, test_real_loader)
models/SVHN_model_train_multi_temp.py:266
↓ 2 callersFunctiontest
(net, test_real_loader)
models/CIFAR10_model_train_multi_HALF_by_pretrained_GAN.py:282
↓ 2 callersFunctiontest
(net, test_real_loader)
models/model_train_multi_real_half_FM.py:201
↓ 2 callersFunctiontest
(net, test_real_loader)
models/model_train_multi_real.py:282
↓ 2 callersFunctiontest
(net, i_index, t_index, test_loader)
models/classifier_train_real_multiclass_byMstr.py:394
↓ 2 callersFunctiontest
(net, test_real_loader)
models/CIFAR10_model_train_multi_MIA.py:203
↓ 2 callersFunctiontest
(net, i_index, t_index, test_loader)
models/classifier_train_real_multiclass_byGANstr.py:394
↓ 2 callersFunctiontest
(net, test_loader)
models/FMNIST_other_GANship_classifier_train.py:393
↓ 2 callersFunctiontest
(net, i_index, t_index, test_loader)
models/classifier_train_real_multiclass.py:394
↓ 2 callersFunctiontest_f1score
(net, test_loader)
models/CIFAR10_TinyImagenet_GANship_classifier_train.py:186
↓ 2 callersFunctiontest_f1score
(net, test_loader)
models/CIFAR10_Noise_GANship_classifier_train.py:186
↓ 2 callersFunctiontest_othertestset
(net, i_index, t_index, testset_path='/data/gehan/PytorchProjects/GANInference/models/outputs/TestsetTGAN_post
models/classifier_train_together_binaryclassify_multimage.py:543
↓ 2 callersFunctionto_range
Transform images from [-1.0, 1.0] to [min_value, max_value] of dtype.
GANs/imlib/dtype.py:34
↓ 2 callersFunctionuint2im
Transform images from uint8 to [-1.0, 1.0] of float64.
GANs/imlib/dtype.py:63
↓ 1 callersFunctionConcatDataset2List
(Concated)
data_processing/show_t-sne_3D.py:16
↓ 1 callersFunctionConcatDataset2List
(Concated)
data_processing/show_umap.py:16
↓ 1 callersFunctionConcatDataset2List
(Concated)
data_processing/show_t-sne.py:16
↓ 1 callersFunctionConcatDataset2List
(Concated)
data_processing/show_t-sne_boundary.py:16
↓ 1 callersFunctionConcatDataset2List
(Concated)
data_processing/show_t-sne_DNA.py:20
↓ 1 callersFunctionConcatDataset2List
(Concated)
data_processing/show_t-sne_DNA_3D.py:20
↓ 1 callersFunctionConcatDataset2List
(Concated)
data_processing/show_umap_DNA.py:20
↓ 1 callersFunctionDPN92
()
models/structures/dpn.py:82
↓ 1 callersFunctionDenormalize
(data)
models/CIFAR10_real_GANship_classifier_train_sepVGG.py:130
↓ 1 callersFunctionDenormalize
(data)
models/CelebA_real_GANStrctr_testsets.py:172
↓ 1 callersFunctionDenormalize
(data)
models/CelebA_Noise_GANship_testsets.py:172
↓ 1 callersFunctionDenormalize
(data)
models/Combine_real_GANStrctr_trainsets_SVHN.py:173
↓ 1 callersFunctionDenormalize
(data)
models/FMNIST_real_GANship_testsets.py:173
↓ 1 callersFunctionDenormalize
(data)
models/Combine_real_GANStrctr_testsetsTGAN_CelebA.py:173
↓ 1 callersFunctionDenormalize
(data)
models/FMNIST_MNIST_GANStrctr_testsetsTGAN.py:173
↓ 1 callersFunctionDenormalize
(data)
models/CIFAR10_real_GANStrctr_trainsets_CelebA.py:173
↓ 1 callersFunctionDenormalize
(data)
models/posterio_GANship_trainsets_together_binaryclassify_multimge.py:172
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