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Functions190 in github.com/tim-learn/SHOT

⨍ Functions 190◇ Types & classes 22
↓ 5 callersMethod__init__
(self)
object/network.py:121
↓ 5 callersFunctioncheck_integrity
(fpath, md5=None)
digit/data_load/utils.py:37
↓ 4 callersFunctioncal_acc
(loader, netF, netB, netC)
digit/uda_digit.py:122
↓ 4 callersFunctioncal_acc
(loader, netF, netB, netC, flag=False)
object/image_source.py:116
↓ 4 callersFunctionread_image_file
(path)
digit/data_load/mnist.py:378
↓ 4 callersFunctionread_label_file
(path)
digit/data_load/mnist.py:371
↓ 3 callersMethod__init__
(self)
digit/network.py:53
↓ 3 callersFunctiondigit_load
(args)
digit/uda_digit.py:32
↓ 3 callersFunctiondownload_url
Download a file from a url and place it in root. Args: url (str): URL to download file from root (str): Directory to place downlo
digit/data_load/utils.py:45
↓ 2 callersMethod__repr__
(self)
digit/data_load/vision.py:34
↓ 2 callersMethod_check_exists
(self)
digit/data_load/mnist.py:127
↓ 2 callersMethod_check_exists
(self)
digit/data_load/mnist.py:283
↓ 2 callersMethod_format_transform_repr
(self, transform, head)
digit/data_load/vision.py:66
↓ 2 callersFunctioncal_acc
(loader, netF, netB, netC, flag=False)
object/image_multisource.py:78
↓ 2 callersFunctioncal_acc
(loader, netF, netB, netC, flag=False)
object/image_target.py:93
↓ 2 callersFunctiondata_load
(args)
object/image_multisource.py:44
↓ 2 callersFunctiondata_load
(args)
object/image_source.py:61
↓ 2 callersFunctiondownload_and_extract_archive
(url, download_root, extract_root=None, filename=None, md5=None, remove_finis
digit/data_load/utils.py:241
↓ 2 callersFunctiongen_bar_updater
()
digit/data_load/utils.py:13
↓ 2 callersFunctionget_int
(b)
digit/data_load/mnist.py:324
↓ 2 callersFunctionimage_test
(resize_size=256, crop_size=224, alexnet=False)
object/image_multisource.py:31
↓ 2 callersFunctionimage_test
(resize_size=256, crop_size=224, alexnet=False)
object/image_source.py:48
↓ 2 callersFunctionlr_scheduler
(optimizer, iter_num, max_iter, gamma=10, power=0.75)
digit/uda_digit.py:23
↓ 2 callersFunctionmake_dataset
(image_list, labels)
object/data_list.py:11
↓ 2 callersFunctionop_copy
(optimizer)
digit/uda_digit.py:18
↓ 2 callersFunctionprint_args
(args)
digit/uda_digit.py:254
↓ 2 callersFunctionread_sn3_pascalvincent_tensor
Read a SN3 file in "Pascal Vincent" format (Lush file 'libidx/idx-io.lsh'). Argument may be a filename, compressed filename, or file object.
digit/data_load/mnist.py:342
↓ 2 callersFunctionverify_str_arg
(value, arg=None, valid_values=None, custom_msg=None)
digit/data_load/utils.py:260
↓ 1 callersMethod__init__
(self, root, split='train', transform=None, target_transform=None, download=False)
digit/data_load/svhn.py:42
↓ 1 callersMethod__init__
(self, root, train=True, transform=None, target_transform=None, download=False)
digit/data_load/mnist.py:63
↓ 1 callersMethod__len__
(self)
digit/data_load/vision.py:31
↓ 1 callersMethod_check_exists
Check if dataset is download and in right place.
digit/data_load/usps.py:78
↓ 1 callersMethod_check_exists
Check if dataset is download and in right place.
digit/data_load/usps.py:171
↓ 1 callersMethod_check_integrity
(self)
digit/data_load/svhn.py:103
↓ 1 callersMethod_check_integrity
(self)
digit/data_load/svhn.py:210
↓ 1 callersFunction_get_confirm_token
(response)
digit/data_load/utils.py:170
↓ 1 callersFunction_is_gzip
(filename)
digit/data_load/utils.py:206
↓ 1 callersFunction_is_tar
(filename)
digit/data_load/utils.py:194
↓ 1 callersFunction_is_targz
(filename)
digit/data_load/utils.py:198
↓ 1 callersFunction_is_tarxz
(filename)
digit/data_load/utils.py:190
↓ 1 callersFunction_is_tgz
(filename)
digit/data_load/utils.py:202
↓ 1 callersFunction_is_zip
(filename)
digit/data_load/utils.py:210
↓ 1 callersFunction_save_response_content
(response, destination, chunk_size=32768)
digit/data_load/utils.py:178
↓ 1 callersFunctioncal_acc
(loader, net, flag=False)
object/image_pretrained.py:73
↓ 1 callersFunctioncal_acc
(loader, netF, netB, netC, flag=False)
object/image_multitarget.py:80
↓ 1 callersFunctioncal_acc
(loader, netF, netB, netC, flag=False, threshold=0.1)
object/image_target_oda.py:95
↓ 1 callersFunctioncal_acc_oda
(loader, netF, netB, netC)
object/image_source.py:149
↓ 1 callersFunctioncalculate_md5
(fpath, chunk_size=1024 * 1024)
digit/data_load/utils.py:25
↓ 1 callersFunctioncheck_md5
(fpath, md5, **kwargs)
digit/data_load/utils.py:33
↓ 1 callersFunctiondata_load
(args)
object/image_pretrained.py:59
↓ 1 callersFunctiondata_load
(args)
object/image_multitarget.py:60
↓ 1 callersFunctiondata_load
(args)
object/image_target_oda.py:60
↓ 1 callersFunctiondata_load
(args)
object/image_target.py:59
↓ 1 callersMethoddownload
(self)
digit/data_load/svhn.py:109
↓ 1 callersMethoddownload
(self)
digit/data_load/svhn.py:216
↓ 1 callersMethoddownload
Download dataset.
digit/data_load/usps.py:82
↓ 1 callersMethoddownload
Download dataset.
digit/data_load/usps.py:175
↓ 1 callersMethoddownload
Download the MNIST data if it doesn't exist in processed_folder already.
digit/data_load/mnist.py:133
↓ 1 callersMethoddownload
Download the MNIST data if it doesn't exist in processed_folder already.
digit/data_load/mnist.py:289
↓ 1 callersMethodextra_repr
(self)
digit/data_load/vision.py:50
↓ 1 callersFunctionextract_archive
(from_path, to_path=None, remove_finished=False)
digit/data_load/utils.py:214
↓ 1 callersMethodforward
Args: inputs: prediction matrix (before softmax) with shape (batch_size, num_classes) targets: ground truth labels wi
object/loss.py:72
↓ 1 callersFunctiongrl_hook
(coeff)
object/loss.py:16
↓ 1 callersFunctionimage_test
(resize_size=256, crop_size=224, alexnet=False)
object/image_pretrained.py:46
↓ 1 callersFunctionimage_test
(resize_size=256, crop_size=224, alexnet=False)
object/image_multitarget.py:47
↓ 1 callersFunctionimage_test
(resize_size=256, crop_size=224, alexnet=False)
object/image_target_oda.py:47
↓ 1 callersFunctionimage_test
(resize_size=256, crop_size=224, alexnet=False)
object/image_target.py:46
↓ 1 callersFunctionimage_train
(resize_size=256, crop_size=224, alexnet=False)
object/image_pretrained.py:32
↓ 1 callersFunctionimage_train
(resize_size=256, crop_size=224, alexnet=False)
object/image_source.py:34
↓ 1 callersFunctionimage_train
(resize_size=256, crop_size=224, alexnet=False)
object/image_multitarget.py:33
↓ 1 callersFunctionimage_train
(resize_size=256, crop_size=224, alexnet=False)
object/image_target_oda.py:33
↓ 1 callersFunctionimage_train
(resize_size=256, crop_size=224, alexnet=False)
object/image_target.py:32
↓ 1 callersFunctioniterable_to_str
(iterable)
digit/data_load/utils.py:256
↓ 1 callersMethodload_samples
Load sample images from dataset.
digit/data_load/usps.py:95
↓ 1 callersMethodload_samples
Load sample images from dataset.
digit/data_load/usps.py:188
↓ 1 callersFunctionlr_scheduler
(optimizer, iter_num, max_iter, gamma=10, power=0.75)
object/image_pretrained.py:23
↓ 1 callersFunctionlr_scheduler
(optimizer, iter_num, max_iter, gamma=10, power=0.75)
object/image_source.py:25
↓ 1 callersFunctionlr_scheduler
(optimizer, iter_num, max_iter, gamma=10, power=0.75)
object/image_multitarget.py:24
↓ 1 callersFunctionlr_scheduler
(optimizer, iter_num, max_iter, gamma=10, power=0.75)
object/image_target_oda.py:24
↓ 1 callersFunctionlr_scheduler
(optimizer, iter_num, max_iter, gamma=10, power=0.75)
object/image_target.py:23
↓ 1 callersFunctionobtain_label
(loader, netF, netB, netC, args, c=None)
digit/uda_digit.py:361
↓ 1 callersFunctionobtain_label
(loader, net, args)
object/image_pretrained.py:179
↓ 1 callersFunctionobtain_label
(loader, netF, netB, netC, args)
object/image_multitarget.py:220
↓ 1 callersFunctionobtain_label
(loader, netF, netB, netC, args)
object/image_target_oda.py:261
↓ 1 callersFunctionobtain_label
(loader, netF, netB, netC, args)
object/image_target.py:242
↓ 1 callersFunctionop_copy
(optimizer)
object/image_pretrained.py:18
↓ 1 callersFunctionop_copy
(optimizer)
object/image_source.py:20
↓ 1 callersFunctionop_copy
(optimizer)
object/image_multitarget.py:19
↓ 1 callersFunctionop_copy
(optimizer)
object/image_target_oda.py:19
↓ 1 callersFunctionop_copy
(optimizer)
object/image_target.py:18
↓ 1 callersFunctionopen_maybe_compressed_file
Return a file object that possibly decompresses 'path' on the fly. Decompression occurs when argument `path` is a string and ends with '.gz' or
digit/data_load/mnist.py:328
↓ 1 callersFunctionprint_args
(args)
object/image_multisource.py:101
↓ 1 callersFunctionprint_args
(args)
object/image_pretrained.py:173
↓ 1 callersFunctionprint_args
(args)
object/image_source.py:303
↓ 1 callersFunctionprint_args
(args)
object/image_multitarget.py:111
↓ 1 callersFunctionprint_args
(args)
object/image_target_oda.py:139
↓ 1 callersFunctionprint_args
(args)
object/image_target.py:236
↓ 1 callersFunctiontest_target
(args)
digit/uda_digit.py:225
↓ 1 callersFunctiontest_target
(args)
object/image_multisource.py:136
↓ 1 callersFunctiontest_target
(args)
object/image_source.py:267
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