Functions — github.com/Confusezius/Revisiting_Deep_Metric_Learning

hub / github.com/Confusezius/Revisiting_Deep_Metric_Learning_PyTorch / functions

Functions204 in github.com/Confusezius/Revisiting_Deep_Metric_Learning_PyTorch

⨍ Functions 204◇ Types & classes 59

↓ 25 callersMethodlog

(self, group, segments, content)

utilities/logger.py:14

↓ 11 callersFunctionname_adjust

(n, prep='', app='', for_plot=True)

Result_Evaluations.py:84

↓ 4 callersFunctioncomp

(met)

Result_Evaluations.py:342

↓ 4 callersMethodhistogram

Compute the histogram over similarities. Args: unique_sim_rep: torch tensor of shape nbins x n_unique_neg_similariti

criteria/histogram.py:81

↓ 4 callersMethodupdate

(self, *sub_loggers, all=False)

utilities/logger.py:139

↓ 3 callersMethodget_distmat

(self, arr)

datasampler/disthist_batchmatch_sampler.py:99

↓ 3 callersFunctiongive_basic_metr

(vals, key='CUB')

Result_Evaluations.py:190

↓ 3 callersFunctiongive_reg_metr

(vals, key='CUB')

Result_Evaluations.py:212

↓ 3 callersFunctionplot

(vals, recalls, errs, names, reg_vals=None, reg_recalls=None, reg_errs=None, reg_names=None, xlab=None, ylab=N

Result_Evaluations.py:481

↓ 3 callersFunctionsingle_table

(vals)

Result_Evaluations.py:123

↓ 2 callersMethodbackward

Container to reverse gradient signal during backward pass. Input: grad_output: any computed gradient.

criteria/adversarial_separation.py:75

↓ 2 callersFunctionget_embeds

(net)

toy_experiments/toy_example_diagonal_lines.py:119

↓ 2 callersMethodgreedy_coreset

(self, A, samples)

datasampler/samplers.py:108

↓ 2 callersMethodpdistsq

(self, A)

datasampler/samplers.py:103

↓ 2 callersFunctiontrain

(net2train, p_switch=0)

toy_experiments/toy_example_diagonal_lines.py:67

↓ 1 callersMethodcompute_standard

(self, opt, model, dataloader, evaltypes, device, **kwargs)

metrics/__init__.py:69

↓ 1 callersMethodcreate_storage

(self, dataloader, model, device)

datasampler/samplers.py:34

↓ 1 callersMethodd2_coreset

datasampler/d2_coreset_sampler.py:90

↓ 1 callersMethodensure_3dim

(self, img)

datasets/basic_dataset_scaffold.py:72

↓ 1 callersFunctionfull_rel_plot

()

Result_Evaluations.py:326

↓ 1 callersMethodfull_storage_update

(self, dataloader, model, device)

datasampler/greedy_coreset_sampler.py:93

↓ 1 callersFunctionget_data

(project)

Result_Evaluations.py:9

↓ 1 callersFunctiongimme_save_string

(opt)

utilities/misc.py:16

↓ 1 callersFunctiongrad_reverse

Applies gradient reversal on input. Input: x: any torch tensor input.

criteria/adversarial_separation.py:85

↓ 1 callersMethodgreedy_coreset

datasampler/greedy_coreset_sampler.py:111

↓ 1 callersMethodinit_setup

(self)

datasets/basic_dataset_scaffold.py:50

↓ 1 callersMethodinverse_sphere_distances

(self, batch, anchor_to_all_dists, labels, anchor_label)

batchminer/random_distance.py:38

↓ 1 callersMethodinverse_sphere_distances

(self, dim, bs, anchor_to_all_dists, labels, anchor_label)

batchminer/distance.py:48

↓ 1 callersMethodinverse_sphere_distances

(self, batch, anchor_to_all_dists, labels, anchor_label)

batchminer/rho_distance.py:50

↓ 1 callersMethodmake_plot

(self, base_title, title_append, sub_plots, sub_plots_data)

utilities/logger.py:37

↓ 1 callersMethodpdist

(self, A)

batchminer/random_distance.py:57

↓ 1 callersMethodpdist

(self, A, eps=1e-4)

batchminer/parametric.py:58

↓ 1 callersMethodpdist

(self, A)

batchminer/distance.py:66

↓ 1 callersMethodpdist

(self, A)

batchminer/softhard.py:50

↓ 1 callersMethodpdist

(self, A, eps=1e-4)

batchminer/rho_distance.py:69

↓ 1 callersMethodpdist

(self, A)

batchminer/semihard.py:43

↓ 1 callersMethodprecompute_indices

(self)

datasampler/d2_coreset_sampler.py:43

↓ 1 callersMethodpresample_infobatch

(self, classes, A, samples)

datasampler/samplers.py:127

↓ 1 callersMethodquadruplet_distance

(self, anchor, positive, negative, fourth_negative)

criteria/quadruplet.py:30

↓ 1 callersFunctionrecover_closest_standard

(feature_matrix_all, image_paths, save_path, n_image_samples=10, n_closest=3)

evaluation/__init__.py:82

↓ 1 callersMethodreplace_storage_entries

(self, embeddings, indices)

datasampler/d2_coreset_sampler.py:72

↓ 1 callersFunctionselect

(metricname, opt)

metrics/__init__.py:12

↓ 1 callersFunctionset_checkpoint

(model, opt, progress_saver, savepath, aux=None)

evaluation/__init__.py:68

↓ 1 callersFunctionset_logging

(opt)

utilities/logger.py:64

↓ 1 callersMethodset_sample_distr

(self)

batchminer/parametric.py:65

↓ 1 callersFunctionshared_table

()

Result_Evaluations.py:148

↓ 1 callersMethodspc_batchfinder

(self, n_samples)

datasampler/fid_batchmatch_sampler.py:85

↓ 1 callersMethodspc_batchfinder

(self, n_samples)

datasampler/disthist_batchmatch_sampler.py:87

↓ 1 callersMethodtriplet_distance

(self, anchor, positive, negative)

criteria/triplet.py:24

↓ 1 callersMethodtriplet_distance

(self, anchor, positive, negative)

criteria/quadruplet.py:27

FunctionGive

(opt, datapath)

datasets/stanford_online_products.py:6

datasets/cars196.py:5

Method__call__

(self, target_labels, features_cosine)

metrics/c_mAP_1000.py:12

Method__call__

(self, target_labels, computed_cluster_labels, features, centroids)

metrics/f1.py:10

Method__call__

(self, target_labels, k_closest_classes, **kwargs)

metrics/e_recall.py:9

Method__call__

(self, target_labels, features_cosine)

metrics/c_mAP_c.py:12

Method__call__

(self, target_labels, features)

metrics/mAP_1000.py:12

Method__call__

(self, target_labels, features)

metrics/mAP_c.py:12

Method__call__

(self, target_labels, features)

metrics/mAP_lim.py:12

Method__call__

(self, features)

metrics/rho_spectrum.py:13

Method__call__

(self, target_labels, computed_cluster_labels_cosine, features_cosine, centroids_cosine)

metrics/c_f1.py:10

Method__call__

(self, target_labels, features_cosine)

metrics/c_mAP_lim.py:12

Method__call__

(self, target_labels, features)

metrics/mAP.py:12

Method__call__

(self, target_labels, k_closest_classes_cosine, **kwargs)

metrics/c_recall.py:9

Method__call__

(self, target_labels, computed_cluster_labels_cosine)

metrics/c_nmi.py:8

Method__call__

(self, target_labels, computed_cluster_labels)

metrics/nmi.py:8

Method__call__

(self, features, target_labels)

metrics/dists.py:12

Method__call__

(self, batch, labels)

batchminer/random_distance.py:11

Method__call__

(self, batch, labels)

batchminer/npair.py:7

Method__call__

(self, batch, labels)

batchminer/random.py:10

Method__call__

(self, batch, labels)

batchminer/parametric.py:17

Method__call__

(self, batch, labels)

batchminer/lifted.py:8

Method__call__

(self, batch, labels, tar_labels=None, return_distances=False, distances=None)

batchminer/distance.py:13

Method__call__

(self, batch, labels)

batchminer/intra_random.py:10

Method__call__

(self, batch, labels, return_distances=False)

batchminer/softhard.py:9

Method__call__

(self, batch, labels, return_distances=False)

batchminer/rho_distance.py:13

Method__call__

(self, batch, labels, return_distances=False)

batchminer/semihard.py:10

Method__getitem__

(self, idx)

datasets/basic_dataset_scaffold.py:78

Method__init__

(self, **kwargs)

metrics/c_mAP_1000.py:8

metrics/e_recall.py:4

metrics/mAP_1000.py:8

(self, embed_dim, mode, **kwargs)

metrics/rho_spectrum.py:7

(self, metric_names, opt)

metrics/__init__.py:62

Method__init__

(self, **kwargs)

metrics/c_mAP_lim.py:8

metrics/c_recall.py:4

(self, mode, **kwargs)

metrics/dists.py:7

Method__init__

(self, opt)

architectures/resnet50.py:13

Method__init__

(self, opt)

architectures/googlenet.py:13

Method__init__

(self, opt, return_embed_dict=False)

architectures/bninception.py:11

Method__init__

(self, model, device_ids, dim)

utilities/misc.py:34

Method__init__

(self, save_path)

utilities/logger.py:9

next →1–100 of 204, ranked by callers