Index

A

accuracy() (in module util.evaluation.metrics.accuracy) accuracy_segmentation() (in module util.evaluation.metrics.accuracy) Activation (class in template.runner.process_activation.activation) add_epoch() (template.runner.process_activation.activation.Activation method) adjust_learning_rate() (in module util.misc)

apk() (in module util.evaluation.metrics.apk) ApplyModel (class in template.runner) (class in template.runner.apply_model) (class in template.runner.apply_model.apply_model) AverageMeter (class in util.misc)

B

Bidimensional (class in datasets.bidimensional_dataset) (class in template.runner) (class in template.runner.bidimensional) (class in template.runner.bidimensional.bidimensional)

C

checkpoint() (in module util.misc) cifar10() (in module util.data.get_a_dataset) circle() (in module util.data.dataset_bidimensional) class_encoding (template.runner.DivahisdbSemanticSegmentation attribute) (template.runner.SemanticSegmentation attribute) cms_inmem() (in module util.data.dataset_analytics)

cms_online() (in module util.data.dataset_analytics) compute_jss() (in module template.runner.multi_label_image_classification.evaluate) (in module template.runner.multi_label_image_classification.train) compute_mapk() (in module util.evaluation.metrics.apk) compute_mean_std() (in module util.data.dataset_analytics) compute_mean_std_segmentation() (in module util.data.dataset_analytics) copy_code() (in module template.setup)

D

datasets module datasets.bidimensional_dataset module datasets.image_folder_dataset module datasets.image_folder_triplet module

datasets.multi_label_image_folder_dataset module diagonal() (in module util.data.dataset_bidimensional) dict_compare() (in module util.data.dataset_integrity) diva_hisdb() (in module util.data.get_a_dataset) DivahisdbSemanticSegmentation (class in template.runner) donut() (in module util.data.dataset_bidimensional)

E

evaluate() (in module template.runner.image_classification.evaluate)

F

fashion_mnist() (in module util.data.get_a_dataset)

feature_extract() (in module template.runner.apply_model.evaluate) flag() (in module util.data.dataset_bidimensional)

G

generate_integrity_footprint() (in module util.data.dataset_integrity) generate_triplets() (datasets.image_folder_triplet.ImageFolderTriplet method) get_all_files_in_folders_and_subfolders() (in module util.misc) get_distinct_colors() (in module util.misc)

get_last_modified() (in module util.data.dataset_integrity) get_list_images() (in module util.data.remove_whitespace) get_preds_from_minibatch() (in module template.runner.multi_label_image_classification.evaluate) (in module template.runner.multi_label_image_classification.train) glas() (in module util.data.get_a_dataset)

H

has_extension() (in module util.misc)

historical_wi() (in module util.data.get_a_dataset) HSVToRGB() (in module util.misc)

I

icdar2017_clamm() (in module util.data.get_a_dataset) ImageClassification (class in template.runner) (class in template.runner.image_classification) (class in template.runner.image_classification.image_classification) ImageFolderApply (class in datasets.image_folder_dataset) ImageFolderInMemory (class in datasets.image_folder_dataset)

ImageFolderTriplet (class in datasets.image_folder_triplet) img_names_sizes_dict (template.runner.DivahisdbSemanticSegmentation attribute) (template.runner.SemanticSegmentation attribute) init() (template.runner.process_activation.activation.Activation method) int_to_one_hot() (in module util.misc) isomap() (in module util.visualization.embedding)

J

jaccard_similarity_score() (in module template.runner.multi_label_image_classification.evaluate) (in module template.runner.multi_label_image_classification.train)

K

kmnist() (in module util.data.get_a_dataset)

L

load_dataset() (in module datasets.bidimensional_dataset) (in module datasets.image_folder_dataset) (in module datasets.image_folder_triplet) (in module datasets.multi_label_image_folder_dataset)

load_numpy_image() (in module util.misc)

M

main() (in module util.data.remove_whitespace) (in module util.visualization.visualize_activations) (template.RunMe.RunMe method) make_colour_legend_image() (in module util.misc) make_folder_if_not_exists() (in module util.misc) make_grid_own() (in module util.visualization.visualize_activations) make_heatmap() (in module util.visualization.confusion_matrix_heatmap) mapk() (in module util.evaluation.metrics.apk) mds() (in module util.visualization.embedding) miml() (in module util.data.get_a_dataset) mnist() (in module util.data.get_a_dataset) Model() (in module models.registry) models module models.registry module module datasets datasets.bidimensional_dataset datasets.image_folder_dataset datasets.image_folder_triplet datasets.multi_label_image_folder_dataset models models.registry template template.CL_arguments template.RunMe template.runner template.runner.apply_model template.runner.apply_model.apply_model template.runner.apply_model.evaluate template.runner.apply_model.setup template.runner.bidimensional template.runner.bidimensional.bidimensional template.runner.image_classification template.runner.image_classification.evaluate template.runner.image_classification.image_classification template.runner.image_classification.train template.runner.multi_label_image_classification template.runner.multi_label_image_classification.evaluate template.runner.multi_label_image_classification.multi_label_image_classification template.runner.multi_label_image_classification.setup template.runner.multi_label_image_classification.train template.runner.process_activation template.runner.process_activation.activation template.runner.process_activation.evaluate template.runner.process_activation.process_activation template.runner.process_activation.train template.runner.triplet template.runner.triplet.evaluate template.runner.triplet.setup template.runner.triplet.train template.runner.triplet.transforms template.runner.triplet.triplet template.setup template.test_RunMe util util.data util.data.dataset_analytics util.data.dataset_bidimensional util.data.dataset_integrity util.data.dataset_splitter util.data.get_a_dataset util.data.remove_whitespace util.data.shuffle_labels util.evaluation util.evaluation.metrics util.evaluation.metrics.accuracy util.evaluation.metrics.apk util.evaluation.metrics.test_accuracy util.evaluation.similarity_sort_embedding util.misc util.visualization util.visualization.confusion_matrix_heatmap util.visualization.decision_boundaries util.visualization.embedding util.visualization.mean_std_plot util.visualization.visualize_activations

multi_crop() (in module template.runner.triplet.transforms) multi_label_img_to_multi_hot() (in module util.misc) multi_one_hot_to_output() (in module util.misc) MultiCrop (class in template.runner.triplet.transforms) MultiLabelImageClassification (class in template.runner) (class in template.runner.multi_label_image_classification) (class in template.runner.multi_label_image_classification.multi_label_image_classification) MultiLabelImageFolder (class in datasets.multi_label_image_folder_dataset)

O

open_crop_save() (in module util.data.remove_whitespace)

P

parse_arguments() (in module template.CL_arguments) parser (template.RunMe.RunMe attribute) pca() (in module util.visualization.embedding) pil_loader() (in module util.misc) plot_decision_boundaries() (in module util.visualization.decision_boundaries) plot_mean_std() (in module util.visualization.mean_std_plot) prepare() (template.runner.DivahisdbSemanticSegmentation class method) (template.runner.image_classification.image_classification.ImageClassification class method) (template.runner.image_classification.ImageClassification class method) (template.runner.ImageClassification class method) (template.runner.SemanticSegmentation class method)

ProcessActivation (class in template.runner) (class in template.runner.process_activation) (class in template.runner.process_activation.process_activation)

R

remove_empty() (in module util.data.remove_whitespace) reset() (util.misc.AverageMeter method)

resolve_items() (template.runner.process_activation.activation.Activation method) RunMe (class in template.RunMe)

S

save_footprint() (in module util.data.dataset_integrity) save_image_and_log_to_tensorboard() (in module util.misc) save_numpy_image() (in module util.misc) SemanticSegmentation (class in template.runner) set_up_dataloader() (in module template.runner.apply_model.setup) set_up_dataloaders() (in module template.runner.multi_label_image_classification.setup) (in module template.setup) set_up_env() (in module template.setup) set_up_logging() (in module template.setup) set_up_model() (in module template.setup) setup_dataloaders() (in module template.runner.triplet.setup) single_run() (template.runner.apply_model.apply_model.ApplyModel static method) (template.runner.apply_model.ApplyModel static method) (template.runner.ApplyModel static method) (template.runner.Bidimensional static method) (template.runner.bidimensional.Bidimensional static method) (template.runner.bidimensional.bidimensional.Bidimensional static method) (template.runner.image_classification.image_classification.ImageClassification class method) (template.runner.image_classification.ImageClassification class method) (template.runner.ImageClassification class method) (template.runner.multi_label_image_classification.multi_label_image_classification.MultiLabelImageClassification static method) (template.runner.multi_label_image_classification.MultiLabelImageClassification static method) (template.runner.MultiLabelImageClassification static method) (template.runner.process_activation.process_activation.ProcessActivation static method) (template.runner.process_activation.ProcessActivation static method) (template.runner.ProcessActivation static method) (template.runner.Triplet static method) (template.runner.triplet.Triplet static method) (template.runner.triplet.triplet.Triplet static method)

spiral() (in module util.data.dataset_bidimensional) spiral_multi() (in module util.data.dataset_bidimensional) split_dataset() (in module util.data.dataset_splitter) (in module util.data.shuffle_labels) split_dataset_segmentation() (in module util.data.dataset_splitter) split_dataset_writerIdentification() (in module util.data.dataset_splitter) stripes() (in module util.data.dataset_bidimensional) svhn() (in module util.data.get_a_dataset)

T

template module template.CL_arguments module template.RunMe module template.runner module template.runner.apply_model module template.runner.apply_model.apply_model module template.runner.apply_model.evaluate module template.runner.apply_model.setup module template.runner.bidimensional module template.runner.bidimensional.bidimensional module template.runner.image_classification module template.runner.image_classification.evaluate module template.runner.image_classification.image_classification module template.runner.image_classification.train module template.runner.multi_label_image_classification module template.runner.multi_label_image_classification.evaluate module template.runner.multi_label_image_classification.multi_label_image_classification module template.runner.multi_label_image_classification.setup module template.runner.multi_label_image_classification.train module template.runner.process_activation module template.runner.process_activation.activation module template.runner.process_activation.evaluate module

template.runner.process_activation.process_activation module template.runner.process_activation.train module template.runner.triplet module template.runner.triplet.evaluate module template.runner.triplet.setup module template.runner.triplet.train module template.runner.triplet.transforms module template.runner.triplet.triplet module template.setup module template.test_RunMe module tensor_to_image() (in module util.misc) test() (in module template.runner.multi_label_image_classification.evaluate) (in module template.runner.process_activation.evaluate) (in module template.runner.triplet.evaluate) test_mini_batch() (in module util.evaluation.metrics.test_accuracy) test_no_batch() (in module util.evaluation.metrics.test_accuracy) test_one() (in module template.test_RunMe) test_routine() (template.runner.image_classification.image_classification.ImageClassification class method) (template.runner.image_classification.ImageClassification class method) (template.runner.ImageClassification class method) to_capital_camel_case() (in module util.misc) train() (in module template.runner.image_classification.train) (in module template.runner.multi_label_image_classification.train) (in module template.runner.process_activation.train) (in module template.runner.triplet.train) train_one_mini_batch() (in module template.runner.image_classification.train) (in module template.runner.multi_label_image_classification.train) (in module template.runner.process_activation.train) train_routine() (template.runner.image_classification.image_classification.ImageClassification class method) (template.runner.image_classification.ImageClassification class method) (template.runner.ImageClassification class method) Triplet (class in template.runner) (class in template.runner.triplet) (class in template.runner.triplet.triplet) tsne() (in module util.visualization.embedding)

U

update() (util.misc.AverageMeter method) util module util.data module util.data.dataset_analytics module util.data.dataset_bidimensional module util.data.dataset_integrity module util.data.dataset_splitter module util.data.get_a_dataset module util.data.remove_whitespace module util.data.shuffle_labels module util.evaluation module util.evaluation.metrics module

util.evaluation.metrics.accuracy module util.evaluation.metrics.apk module util.evaluation.metrics.test_accuracy module util.evaluation.similarity_sort_embedding module util.misc module util.visualization module util.visualization.confusion_matrix_heatmap module util.visualization.decision_boundaries module util.visualization.embedding module util.visualization.mean_std_plot module util.visualization.visualize_activations module

V

validate() (in module template.runner.multi_label_image_classification.evaluate) (in module template.runner.process_activation.evaluate) (in module template.runner.triplet.evaluate)

verify_integrity_deep() (in module util.data.dataset_integrity) verify_integrity_quick() (in module util.data.dataset_integrity)

X

xor() (in module util.data.dataset_bidimensional)