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Functions293 in github.com/EdenBelouadah/class-incremental-learning

⨍ Functions 293◇ Types & classes 38
↓ 1 callersFunctioncreate_random_list_per_batch
Creates lists of negatives selected randomly from all the classes that already exist in the recognition system. Lists includes negatives from t
deesil/codes/create_random_negatives.py:36
↓ 1 callersFunctionfixed_padding
Pads the input along the spatial dimensions independently of input size. Args: inputs: A tensor of size [batch, channels, height_in, width_in]
cil/bic/codes/resnet.py:124
↓ 1 callersFunctionget_dataset_mean
(normalization_dataset_name, datasets_mean_std_file_path)
siw/LwF/codes/features_extraction.py:22
↓ 1 callersFunctionget_dataset_mean
(normalization_dataset_name, datasets_mean_std_file_path)
siw/LwF/codes/last_layer_params_extraction.py:22
↓ 1 callersFunctionget_dataset_mean
(normalization_dataset_name, datasets_mean_std_file_path)
cil/icarl/codes/validation_no_memory.py:17
↓ 1 callersFunctionget_dataset_mean
(normalization_dataset_name, datasets_mean_std_file_path)
cil/icarl/codes/validation.py:17
↓ 1 callersFunctionget_dataset_mean_std
(normalization_dataset_name, datasets_mean_std_file_path)
il2m/codes/features_extraction_ft.py:14
↓ 1 callersFunctionget_dataset_mean_std
(normalization_dataset_name, datasets_mean_std_file_path)
siw/FT/codes/features_extraction.py:14
↓ 1 callersFunctionget_dataset_mean_std
(normalization_dataset_name, datasets_mean_std_file_path)
cil/FT_bal/codes/ft_bal.py:35
↓ 1 callersFunctionget_dataset_mean_std
(normalization_dataset_name, datasets_mean_std_file_path)
cil/FT_bal/codes/ft_bal_herd.py:41
↓ 1 callersFunctionget_dataset_mean_std
(normalization_dataset_name, datasets_mean_std_file_path)
cil/FR/codes/no_mem_fr_train_val.py:41
↓ 1 callersFunctionget_exemplars
(old_classes_number, num_exemplars, files_protoset)
siw/LwF/codes/features_extraction.py:36
↓ 1 callersFunctionhas_file_allowed_extension
Checks if a file is an allowed extension. Args: filename (string): path to a file extensions (iterable of strings): extensions to
il2m/codes/utils/MyImageFolder.py:9
↓ 1 callersFunctionhas_file_allowed_extension
Checks if a file is an allowed extension. Args: filename (string): path to a file extensions (iterable of strings): extensions to
deesil/codes/utils/MyImageFolder.py:9
↓ 1 callersFunctionhas_file_allowed_extension
Checks if a file is an allowed extension. Args: filename (string): path to a file extensions (iterable of strings): extensions to
siw/utils/MyImageFolder.py:9
↓ 1 callersFunctionhas_file_allowed_extension
Checks if a file is an allowed extension. Args: filename (string): path to a file extensions (iterable of strings): extensions to
ail/codes/utils/MyImageFolder.py:9
↓ 1 callersFunctionhas_file_allowed_extension
Checks if a file is an allowed extension. Args: filename (string): path to a file extensions (iterable of strings): extensions to
scail/codes/utils/MyImageFolder.py:9
↓ 1 callersFunctionhas_file_allowed_extension
Checks if a file is an allowed extension. Args: filename (string): path to a file extensions (iterable of strings): extensions to
cil/utils/MyImageFolder.py:9
↓ 1 callersFunctionlearning_rate_fn
(global_step)
cil/bic/codes/resnet.py:426
↓ 1 callersMethodload_class_paths
(self, class_number, batch_paths)
ail/codes/utils/Herding_AL.py:199
↓ 1 callersMethodload_class_paths
(self, class_number, batch_paths)
scail/codes/utils/Herding.py:165
↓ 1 callersFunctionmain
(I)
ail/codes/main.py:227
↓ 1 callersFunctionmin_max
Return features (numpy array) after min-max normalization
ail/codes/data_utils.py:9
↓ 1 callersFunctionmkdir_p
(path, delete=False, print_info=True)
cil/lucir/codes/utils_pytorch.py:33
↓ 1 callersFunctionnormalize
(init_feats, label, norm_feats)
deesil/codes/feat_L2_normalization.py:36
↓ 1 callersFunctionpil_loader
(path)
il2m/codes/utils/MyImageFolder.py:120
↓ 1 callersFunctionpil_loader
(path)
deesil/codes/utils/MyImageFolder.py:120
↓ 1 callersFunctionpil_loader
(path)
siw/utils/MyImageFolder.py:120
↓ 1 callersFunctionpil_loader
(path)
ail/codes/utils/MyImageFolder.py:120
↓ 1 callersFunctionpil_loader
(path)
scail/codes/utils/MyImageFolder.py:120
↓ 1 callersFunctionpil_loader
(path)
cil/utils/MyImageFolder.py:120
↓ 1 callersFunctionpoor
DESCRIPTION: balancing method which selects the points which maximize the difference between classes having the least number of images and the maxi
ail/codes/balancing_driven_AFs.py:22
↓ 1 callersFunctionreduce_exemplars
(old_classes_number, new_classes_number, m_nxt, balanced_file, exemplars_file, exem_dir, file_name)
cil/FT_bal/codes/ft_bal_herd.py:224
↓ 1 callersMethodreduce_exemplars
(self, exemplars_dir, old_classes, per_class, batch_number, file_names_suffix)
ail/codes/utils/Herding_AL.py:211
↓ 1 callersFunctionrelu
(x, name, alpha)
siw/LwF/codes/utils_resnet.py:10
↓ 1 callersFunctionrelu
(x, name, alpha)
cil/icarl/codes/utils_resnet.py:9
↓ 1 callersMethodreset
(self)
il2m/codes/utils/AverageMeter.py:8
↓ 1 callersMethodreset
(self)
deesil/codes/utils/AverageMeter.py:8
↓ 1 callersMethodreset
(self)
siw/utils/AverageMeter.py:8
↓ 1 callersMethodreset
(self)
ail/codes/utils/AverageMeter.py:8
↓ 1 callersMethodreset
(self)
scail/codes/utils/AverageMeter.py:8
↓ 1 callersMethodreset
(self)
cil/utils/AverageMeter.py:8
↓ 1 callersMethodreset_parameters
(self)
cil/lucir/codes/modified_linear.py:20
↓ 1 callersFunctionsoftmax
(x)
cil/FT_th/ift_th_herd.py:36
↓ 1 callersFunctionsoftmax
(x)
cil/FT_th/ift_th.py:35
↓ 1 callersFunctiontarget_transform
(target, P, b)
cil/FR/codes/no_mem_fr_train_val.py:56
FunctionResNet18
(inp, phase, num_outputs=1000, alpha=0.0)
siw/LwF/codes/utils_resnet.py:101
FunctionResNet18
(inp, phase, num_outputs=1000, alpha=0.0)
cil/icarl/codes/utils_resnet.py:100
Method__call__
Add operations to classify a batch of input images. Args: inputs: A Tensor representing a batch of input images. training: A boolean.
cil/bic/codes/main_no_herding.py:221
Method__call__
Add operations to classify a batch of input images. Args: inputs: A Tensor representing a batch of input images. training: A boolean.
cil/bic/codes/main.py:221
Method__call__
Add operations to classify a batch of input images. Args: inputs: A Tensor representing a batch of input images. training: A boolean.
cil/bic/codes/resnet.py:343
Method__getitem__
Args: index (int): Index Returns: tuple: (sample, target) where target is class_index of the target class.
il2m/codes/utils/MyImageFolder.py:85
Method__getitem__
Args: index (int): Index Returns: tuple: (sample, target) where target is class_index of the target class.
il2m/codes/utils/MyImageFolder.py:189
Method__getitem__
Args: index (int): Index Returns: tuple: (sample, target) where target is class_index of the target class.
deesil/codes/utils/MyImageFolder.py:85
Method__getitem__
Args: index (int): Index Returns: tuple: (sample, target) where target is class_index of the target class.
deesil/codes/utils/MyImageFolder.py:189
Method__getitem__
Args: index (int): Index Returns: tuple: (sample, target) where target is class_index of the target class.
siw/utils/MyImageFolder.py:85
Method__getitem__
Args: index (int): Index Returns: tuple: (sample, target) where target is class_index of the target class.
siw/utils/MyImageFolder.py:189
Method__getitem__
Args: index (int): Index Returns: tuple: (sample, target) where target is class_index of the target class.
ail/codes/utils/MyImageFolder.py:85
Method__getitem__
Args: index (int): Index Returns: tuple: (sample, target) where target is class_index of the target class.
ail/codes/utils/MyImageFolder.py:189
Method__getitem__
Args: index (int): Index Returns: tuple: (sample, target) where target is class_index of the target class.
scail/codes/utils/MyImageFolder.py:85
Method__getitem__
Args: index (int): Index Returns: tuple: (sample, target) where target is class_index of the target class.
scail/codes/utils/MyImageFolder.py:189
Method__getitem__
Args: index (int): Index Returns: tuple: (sample, target) where target is class_index of the target class.
cil/utils/MyImageFolder.py:85
Method__getitem__
Args: index (int): Index Returns: tuple: (sample, target) where target is class_index of the target class.
cil/utils/MyImageFolder.py:189
Method__init__
(self)
il2m/codes/utils/AverageMeter.py:5
Method__init__
(self)
il2m/codes/utils/Utils.py:8
Method__init__
(self, images_list_file, transform=None, target_transform=None, return_path=False)
il2m/codes/utils/MyImageFolder.py:57
Method__init__
(self, images_list_file, transform=None, target_transform=None, return_path=False)
il2m/codes/utils/MyImageFolder.py:162
Method__init__
(self)
deesil/codes/utils/AverageMeter.py:5
Method__init__
(self)
deesil/codes/utils/Utils.py:8
Method__init__
(self, images_list_file, transform=None, target_transform=None, return_path=False)
deesil/codes/utils/MyImageFolder.py:57
Method__init__
(self, images_list_file, transform=None, target_transform=None, return_path=False)
deesil/codes/utils/MyImageFolder.py:162
Method__init__
(self)
siw/utils/AverageMeter.py:5
Method__init__
(self)
siw/utils/Utils.py:9
Method__init__
(self, images_list_file, transform=None, target_transform=None, return_path=False)
siw/utils/MyImageFolder.py:57
Method__init__
(self, images_list_file, transform=None, target_transform=None, return_path=False)
siw/utils/MyImageFolder.py:162
Method__init__
(self, budget, features, paths, dist_matrix, indexes, true_labels, probas_path)
ail/codes/classical_AFs.py:17
Method__init__
(self)
ail/codes/utils/AverageMeter.py:5
Method__init__
(self)
ail/codes/utils/Herding_AL.py:7
Method__init__
(self)
ail/codes/utils/Utils.py:9
Method__init__
(self, images_list_file, transform=None, target_transform=None, return_path=False)
ail/codes/utils/MyImageFolder.py:57
Method__init__
(self, images_list_file, transform=None, target_transform=None, return_path=False)
ail/codes/utils/MyImageFolder.py:162
Method__init__
(self)
scail/codes/utils/AverageMeter.py:5
Method__init__
(self)
scail/codes/utils/Herding.py:7
Method__init__
(self)
scail/codes/utils/Utils.py:9
Method__init__
(self, images_list_file, transform=None, target_transform=None, return_path=False)
scail/codes/utils/MyImageFolder.py:57
Method__init__
(self, images_list_file, transform=None, target_transform=None, return_path=False)
scail/codes/utils/MyImageFolder.py:162
Method__init__
(self)
cil/utils/AverageMeter.py:5
Method__init__
(self)
cil/utils/Utils.py:9
Method__init__
(self, images_list_file, transform=None, target_transform=None, return_path=False)
cil/utils/MyImageFolder.py:57
Method__init__
(self, images_list_file, transform=None, target_transform=None, return_path=False)
cil/utils/MyImageFolder.py:162
Method__init__
These are the parameters that work for Imagenet data. Args: resnet_size: The number of convolutional layers needed in the model. data
cil/bic/codes/main_no_herding.py:186
Method__init__
These are the parameters that work for Imagenet data. Args: resnet_size: The number of convolutional layers needed in the model. data
cil/bic/codes/main.py:186
Method__init__
(self, resnet_size_choices=None)
cil/bic/codes/resnet.py:819
Method__init__
(self, inplanes, planes, stride=1, downsample=None, last=False)
cil/lucir/codes/modified_resnet.py:15
Method__init__
(self, in_features, out_features1, out_features2, sigma=True)
cil/lucir/codes/modified_linear.py:41
Method__init__
(self, inplanes, planes, stride=1, downsample=None)
cil/lucir/codes/resnet.py:28
Method__init__
(self, inplanes, planes, stride=1, downsample=None)
cil/lucir/codes/resnet.py:60
Method__repr__
(self)
il2m/codes/utils/MyImageFolder.py:210
Method__repr__
(self)
deesil/codes/utils/MyImageFolder.py:210
Method__repr__
(self)
siw/utils/MyImageFolder.py:210
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