Index

_

_BatchUtility (class in wbia_cnn.models.abstract_models) _clean() (in module wbia_cnn.harness) _default_input_weights() (wbia_cnn.models.abstract_models._ModelFitter method) _dump_best_monitor() (wbia_cnn.models.abstract_models._ModelFitter method) _dump_case_monitor() (wbia_cnn.models.abstract_models._ModelFitter method) _dump_epoch_monitor() (wbia_cnn.models.abstract_models._ModelFitter method) _dump_weight_monitor() (wbia_cnn.models.abstract_models._ModelFitter method) _ensure_learnval_split() (wbia_cnn.models.abstract_models._ModelFitter method) _epoch_clean() (wbia_cnn.models.abstract_models._ModelFitter method) _epoch_learn() (wbia_cnn.models.abstract_models._ModelFitter method) _epoch_validate() (wbia_cnn.models.abstract_models._ModelFitter method) _epoch_validate_learn() (wbia_cnn.models.abstract_models._ModelFitter method) _fix_center_mean_std() (wbia_cnn.models._model_legacy._ModelLegacy method) _get_labeled_outputs() (wbia_cnn.models.abstract_models._ModelBackend method) _get_model_dpath() (wbia_cnn.models.abstract_models._ModelIO method) _get_model_file_fpath() (wbia_cnn.models.abstract_models._ModelIO method) _get_network_output() (wbia_cnn.models.abstract_models._ModelBackend method) _get_unlabeled_outputs() (wbia_cnn.models.abstract_models._ModelBackend method) _init_batch_vars() (wbia_cnn.models.abstract_models._ModelBatch method) _init_compile_vars() (wbia_cnn.models.abstract_models._ModelBackend method) _init_fit_vars() (wbia_cnn.models.abstract_models._ModelFitter method) _init_id_vars() (wbia_cnn.models.abstract_models._ModelIDs method) _init_io_vars() (wbia_cnn.models.abstract_models._ModelIO method) _init_shape_vars() (wbia_cnn.models.abstract_models.BaseModel method) _make_init_state() (wbia_cnn.draw_net.Dream method) _make_monitor_outputs() (wbia_cnn.models.abstract_models._ModelBackend method) _make_objective() (wbia_cnn.draw_net.Dream method) _make_updates() (wbia_cnn.models.abstract_models._ModelBackend method) _ModelBackend (class in wbia_cnn.models.abstract_models) _ModelBatch (class in wbia_cnn.models.abstract_models) _ModelFitter (class in wbia_cnn.models.abstract_models) _ModelIDs (class in wbia_cnn.models.abstract_models) _ModelIO (class in wbia_cnn.models.abstract_models)

_ModelLegacy (class in wbia_cnn.models._model_legacy) _ModelPredicter (class in wbia_cnn.models.abstract_models) _ModelStrings (class in wbia_cnn.models.abstract_models) _ModelUtility (class in wbia_cnn.models.abstract_models) _ModelVisualization (class in wbia_cnn.models.abstract_models) _new_era() (wbia_cnn.models.abstract_models.History method) _new_fit_session() (wbia_cnn.models.abstract_models._ModelFitter method) _overwrite_latest_image() (wbia_cnn.models.abstract_models._ModelFitter method) _pad_labels() (wbia_cnn.models.abstract_models._BatchUtility method) _param_info_list (wbia_cnn.ingest_wbia.PartMatchDataConfig attribute) (wbia_cnn.ingest_wbia.PatchMetricDataConfig attribute) _plot_heat_map() (in module wbia_cnn.draw_net) _postprocess_class_image() (wbia_cnn.draw_net.Dream method) _predict() (wbia_cnn.models.abstract_models._ModelPredicter method) _prepare_batch() (wbia_cnn.models.abstract_models._ModelBatch method) _record_epoch() (wbia_cnn.models.abstract_models.History method) _rename_old_sessions() (wbia_cnn.models.abstract_models._ModelFitter method) _show_era_acc() (wbia_cnn.models.abstract_models._ModelVisualization method) _show_era_class_pr() (wbia_cnn.models.abstract_models._ModelVisualization method) _show_era_loss() (wbia_cnn.models.abstract_models._ModelVisualization method) _show_era_lossratio() (wbia_cnn.models.abstract_models._ModelVisualization method) _show_era_measure() (wbia_cnn.models.abstract_models._ModelVisualization method) _stack_outputs() (wbia_cnn.models.abstract_models._BatchUtility method) _suggest_bing_candidate_regions() (in module wbia_cnn._plugin) _suggest_random_candidate_regions() (in module wbia_cnn._plugin) _testdata_batch() (wbia_cnn.models.abstract_models._ModelBackend method) _theano_fn_inputs() (wbia_cnn.models.abstract_models._ModelBackend property) _theano_loss_exprs() (wbia_cnn.models.abstract_models._ModelBackend property) _unwrap_outputs() (wbia_cnn.models.abstract_models._BatchUtility method) _update() (in module wbia_cnn.utils) _validate_data() (wbia_cnn.models.abstract_models._ModelUtility method) _validate_input() (wbia_cnn.models.abstract_models._ModelUtility method) _validate_labels() (wbia_cnn.models.abstract_models._ModelUtility method)

A

AbstractCategoricalModel (class in wbia_cnn.models.abstract_models) AbstractSiameseModel (class in wbia_cnn.models.siam) AbstractVectorModel (class in wbia_cnn.models.abstract_models) AbstractVectorVectorModel (class in wbia_cnn.models.abstract_models) add_channels() (in module wbia_cnn.utils) add_split() (wbia_cnn.dataset.DataSet method) affine_perterb() (in module wbia_cnn.augment) AoI2Model (class in wbia_cnn.models.aoi2) AoIModel (class in wbia_cnn.models.aoi) arch_dpath() (wbia_cnn.models.abstract_models._ModelIO property) arch_id() (wbia_cnn.models.abstract_models._ModelIDs property) asdict() (wbia_cnn.dataset.DataSet method) augment() (wbia_cnn.models.abstract_models.BaseModel method) (wbia_cnn.models.aoi.AoIModel method) (wbia_cnn.models.aoi2.AoI2Model method) (wbia_cnn.models.background.BackgroundModel method) (wbia_cnn.models.classifier.ClassifierModel method) (wbia_cnn.models.classifier2.Classifier2Model method) (wbia_cnn.models.labeler.LabelerModel method) (wbia_cnn.models.mnist.MNISTModel method) (wbia_cnn.models.siam.AbstractSiameseModel method) (wbia_cnn.models.viewpoint.ViewpointModel method)

augment_affine() (in module wbia_cnn.augment) augment_affine_siam() (in module wbia_cnn.augment) augment_batch() (in module wbia_cnn.batch_processing) augment_gamma() (in module wbia_cnn.augment) augment_parallel() (in module wbia_cnn.models.aoi) (in module wbia_cnn.models.aoi2) (in module wbia_cnn.models.classifier) (in module wbia_cnn.models.classifier2) (in module wbia_cnn.models.labeler) augment_shadow() (in module wbia_cnn.augment) augment_siamese_patches() (in module wbia_cnn.augment) augment_siamese_patches2() (in module wbia_cnn.augment) augment_wrapper() (in module wbia_cnn.models.aoi) (in module wbia_cnn.models.aoi2) (in module wbia_cnn.models.classifier) (in module wbia_cnn.models.classifier2) (in module wbia_cnn.models.labeler)

B

BackgroundModel (class in wbia_cnn.models.background) BaseModel (class in wbia_cnn.models.abstract_models) batch_iterator() (in module wbia_cnn.batch_processing) (wbia_cnn.models.abstract_models._ModelBatch method) BatchNormLayer2 (class in wbia_cnn.custom_layers)

build() (wbia_cnn.models.abstract_models._ModelBackend method) build_backprop_func() (wbia_cnn.models.abstract_models._ModelBackend method) build_forward_func() (wbia_cnn.models.abstract_models._ModelBackend method) build_model() (wbia_cnn.models.quality.QualityModel method) build_predict_func() (wbia_cnn.models.abstract_models._ModelBackend method)

C

cached_part_match_training_data_fpaths() (in module wbia_cnn.ingest_wbia) cached_patchmetric_training_data_fpaths() (in module wbia_cnn.ingest_wbia) CenterSurroundLayer (class in wbia_cnn.custom_layers) checkfreq() (in module wbia_cnn.utils) checkpoint_dpath() (wbia_cnn.models.abstract_models._ModelIO property) checkpoint_save_model_info() (wbia_cnn.models.abstract_models._ModelIO method) checkpoint_save_model_state() (wbia_cnn.models.abstract_models._ModelIO method) Classifier2Model (class in wbia_cnn.models.classifier2) ClassifierModel (class in wbia_cnn.models.classifier) clear_cache() (wbia_cnn.dataset.DataSet method) compute_permutation_matrix() (wbia_cnn.custom_layers.MultiImageRollLayer method) concatenate_hack() (in module wbia_cnn.batch_processing) constrastive_loss() (in module wbia_cnn.models.siam) convert_category_to_siam_data() (in module wbia_cnn.ingest_helpers)

convert_cv2_images_to_theano_images() (in module wbia_cnn.utils) convert_label() (in module wbia_cnn._plugin) convert_species_viewpoint() (in module wbia_cnn._plugin) convert_theano_images_to_cv2_images() (in module wbia_cnn.utils) count_bytes() (in module wbia_cnn.net_strs) current_era_size() (wbia_cnn.models.abstract_models.History property) custom_labeled_outputs() (wbia_cnn.models.abstract_models._ModelBackend method) (wbia_cnn.models.abstract_models.AbstractCategoricalModel method) (wbia_cnn.models.abstract_models.AbstractVectorModel method) (wbia_cnn.models.abstract_models.AbstractVectorVectorModel method) custom_unlabeled_outputs() (wbia_cnn.models.abstract_models._ModelBackend method) (wbia_cnn.models.abstract_models.AbstractCategoricalModel method) (wbia_cnn.models.abstract_models.AbstractVectorModel method) CyclicPoolLayer (class in wbia_cnn.custom_layers)

D

data() (wbia_cnn.dataset.DataSet property) data_fpath() (wbia_cnn.dataset.DataSet property) data_label_shuffle() (in module wbia_cnn.utils) data_shape() (wbia_cnn.dataset.DataSet property) DataSet (class in wbia_cnn.dataset) dataset_dpath() (wbia_cnn.dataset.DataSet property) dataset_id() (wbia_cnn.dataset.DataSet property) delayed_import() (in module wbia_cnn.models.abstract_models)

detect_annot_species_viewpoint_cnn() (in module wbia_cnn._plugin) detect_annot_whale_fluke_background_mask() (in module wbia_cnn._plugin) detect_annot_zebra_background_mask() (in module wbia_cnn._plugin) detect_image_cnn() (in module wbia_cnn._plugin) draw_neural_net() (in module wbia_cnn.draw_net) Dream (class in wbia_cnn.draw_net) DummyModel (class in wbia_cnn.models.dummy) dump_cases() (wbia_cnn.models.abstract_models._ModelFitter method) dump_class_dream() (wbia_cnn.models.abstract_models._ModelVisualization method)

E

ensure_data_params() (wbia_cnn.models.abstract_models._ModelFitter method) ensure_dirs() (wbia_cnn.dataset.DataSet method) ensure_model() (in module wbia_cnn._plugin_grabmodels) ensure_symlinked() (wbia_cnn.dataset.DataSet method) estimate_data_bytes() (in module wbia_cnn.ingest_wbia) eval_symbol() (in module wbia_cnn.theano_ext) evaluate_layer_list() (in module wbia_cnn.custom_layers) evaluate_symbolic_layer() (in module wbia_cnn.utils)

expand_data_indicies() (in module wbia_cnn.dataset) (in module wbia_cnn.utils) (wbia_cnn.models.abstract_models._BatchUtility class method) extract_annotpair_training_chips() (in module wbia_cnn.ingest_wbia) extract_liberty_style_patches() (in module wbia_cnn.ingest_helpers) extract_orientation_chips() (in module wbia_cnn.ingest_wbia) extract_patches_stride() (in module wbia_cnn.utils) extract_siam128_vecs() (in module wbia_cnn._plugin)

F

fit() (wbia_cnn.models.abstract_models._ModelFitter method) (wbia_cnn.models.mnist.MNISTModel method) fix_annot_species_viewpoint_quality_cnn() (in module wbia_cnn._plugin) flatten_patch_data() (in module wbia_cnn.ingest_wbia)

FlipLayer (class in wbia_cnn.custom_layers) float32() (in module wbia_cnn.utils) freeze_params() (in module wbia_cnn.lasagne_ext) from_oldstyle() (wbia_cnn.models.abstract_models.History class method) full_dpath() (wbia_cnn.dataset.DataSet property)

G

generate_chip_label_list() (in module wbia_cnn._plugin) generate_class_images() (wbia_cnn.draw_net.Dream method) generate_siam_l2_128_feats() (in module wbia_cnn._plugin) generate_species_background() (in module wbia_cnn._plugin) generate_species_background_mask() (in module wbia_cnn._plugin) generate_thumbnail_aoi2_list() (in module wbia_cnn._plugin) generate_thumbnail_class2_list() (in module wbia_cnn._plugin) generate_thumbnail_class_list() (in module wbia_cnn._plugin) get_2ch2stream_def() (wbia_cnn.models.siam.SiameseCenterSurroundModel method) get_aidpair_patchmatch_training_data() (in module wbia_cnn.ingest_wbia) get_aidpair_training_labels() (in module wbia_cnn.ingest_wbia) get_aidpairs_and_matches() (in module wbia_cnn.ingest_wbia) get_aidpairs_partmatch() (in module wbia_cnn.ingest_wbia) get_alias_dict_fpath() (in module wbia_cnn.dataset) get_all_layer_info() (wbia_cnn.models.abstract_models._ModelUtility method) get_all_layers() (wbia_cnn.models.abstract_models._ModelUtility method) get_all_param_values() (wbia_cnn.models.abstract_models._ModelUtility method) get_all_params() (wbia_cnn.models.abstract_models._ModelUtility method) get_aoi2_def() (wbia_cnn.models.aoi2.AoI2Model method) get_aoi2_training_data() (in module wbia_cnn.ingest_wbia) get_aoi_def() (wbia_cnn.models.aoi.AoIModel method) get_aoi_training_data() (in module wbia_cnn.ingest_wbia) get_arch_hashid() (wbia_cnn.models.abstract_models._ModelIDs method) get_arch_nice() (wbia_cnn.models.abstract_models._ModelIDs method) get_arch_str() (wbia_cnn.models.abstract_models._ModelStrings method) get_background_def() (wbia_cnn.models.background.BackgroundModel method) get_background_training_patches2() (in module wbia_cnn.ingest_wbia) get_classifier2_def() (wbia_cnn.models.classifier2.Classifier2Model method) get_classifier_def() (wbia_cnn.models.classifier.ClassifierModel method) get_cnn_classifier2_training_images() (in module wbia_cnn.ingest_wbia) get_cnn_classifier_binary_training_images() (in module wbia_cnn.ingest_wbia) get_cnn_classifier_cameratrap_binary_training_images() (in module wbia_cnn.ingest_wbia) get_cnn_detector_training_images() (in module wbia_cnn.ingest_wbia) get_cnn_labeler_training_images() (in module wbia_cnn.ingest_wbia) get_cnn_qualifier_training_images() (in module wbia_cnn.ingest_wbia) get_conv2d_layer() (wbia_cnn.models.pretrained.PretrainedNetwork method) get_current_time() (in module wbia_cnn.utils) get_data_shape() (wbia_cnn.ingest_wbia.PartMatchDataConfig method) (wbia_cnn.ingest_wbia.PatchMetricDataConfig method) get_extern_training_dpath() (in module wbia_cnn.ingest_data) get_gpu_memory() (in module wbia_cnn.utils) get_history_hashid() (wbia_cnn.models.abstract_models.History method) get_history_nice() (wbia_cnn.models.abstract_models.History method) get_inception_def() (wbia_cnn.models.mnist.MNISTModel method) get_juction_dpath() (in module wbia_cnn.dataset) get_labeler_def() (wbia_cnn.models.labeler.LabelerModel method) get_layer_filter_size() (wbia_cnn.models.pretrained.PretrainedNetwork method) get_layer_info() (in module wbia_cnn.net_strs) get_layer_info_str() (in module wbia_cnn.net_strs) (wbia_cnn.models.abstract_models._ModelStrings method) get_layer_num_filters() (wbia_cnn.models.pretrained.PretrainedNetwork method) get_lenet_def() (wbia_cnn.models.mnist.MNISTModel method) get_mnist_def() (wbia_cnn.models.mnist.MNISTModel method) get_mnist_siaml2_def() (wbia_cnn.models.siam.SiameseL2 method) get_model_info_fpath() (wbia_cnn.models.abstract_models._ModelIO method) get_model_state_fpath() (wbia_cnn.models.abstract_models._ModelIO method) get_neuralnet_dir() (in module wbia_cnn._plugin) get_num_layers() (wbia_cnn.models.pretrained.PretrainedNetwork method) get_numpy_dataset() (in module wbia_cnn.ingest_data) get_numpy_dataset2() (in module wbia_cnn.ingest_data) get_orientation_training_images() (in module wbia_cnn.ingest_wbia)

get_output_for() (wbia_cnn.custom_layers.BatchNormLayer2 method) (wbia_cnn.custom_layers.CenterSurroundLayer method) (wbia_cnn.custom_layers.CyclicPoolLayer method) (wbia_cnn.custom_layers.FlipLayer method) (wbia_cnn.custom_layers.L1DistanceLayer method) (wbia_cnn.custom_layers.L1NormalizeLayer method) (wbia_cnn.custom_layers.L2NormalizeLayer method) (wbia_cnn.custom_layers.L2SquaredDistanceLayer method) (wbia_cnn.custom_layers.LocallyConnected2DLayer method) (wbia_cnn.custom_layers.MultiImageRollLayer method) (wbia_cnn.custom_layers.MultiImageSliceLayer method) (wbia_cnn.custom_layers.SiameseConcatLayer method) (wbia_cnn.models.background.NonlinearityLayerSpatial method) get_output_layer() (wbia_cnn.models.abstract_models._ModelUtility method) get_output_rc() (wbia_cnn.custom_layers.LocallyConnected2DLayer method) get_output_shape_for() (wbia_cnn.custom_layers.CenterSurroundLayer method) (wbia_cnn.custom_layers.CyclicPoolLayer method) (wbia_cnn.custom_layers.FlipLayer method) (wbia_cnn.custom_layers.L1DistanceLayer method) (wbia_cnn.custom_layers.L2SquaredDistanceLayer method) (wbia_cnn.custom_layers.LocallyConnected2DLayer method) (wbia_cnn.custom_layers.MultiImageRollLayer method) (wbia_cnn.custom_layers.MultiImageSliceLayer method) (wbia_cnn.custom_layers.SiameseConcatLayer method) (wbia_cnn.models.background.NonlinearityLayerSpatial method) get_patch_chunk() (in module wbia_cnn.draw_results) get_patch_multichunks() (in module wbia_cnn.draw_results) get_patch_sample_img() (in module wbia_cnn.draw_results) get_patchmetric_training_data_and_labels() (in module wbia_cnn.ingest_wbia) get_pretrained_layer() (wbia_cnn.models.pretrained.PretrainedNetwork method) get_printcolinfo() (in module wbia_cnn.utils) get_report_json() (wbia_cnn.models.abstract_models._ModelFitter method) get_resnet_def() (wbia_cnn.models.mnist.MNISTModel method) get_sample_pairimg_from_X() (in module wbia_cnn.draw_results) get_siam2stream_def() (wbia_cnn.models.siam.SiameseCenterSurroundModel method) get_siam2stream_l2_def() (wbia_cnn.models.siam.SiameseCenterSurroundModel method) get_siam2streaml2_def() (wbia_cnn.models.siam.SiameseL2 method) get_siam_deepfaceish_def() (wbia_cnn.models.siam.SiameseL2 method) get_siam_l2_model() (in module wbia_cnn._plugin) get_siaml2_128_def() (wbia_cnn.models.siam.SiameseL2 method) get_siaml2_def() (wbia_cnn.models.siam.SiameseL2 method) get_siaml2_partmatch_def() (wbia_cnn.models.siam.SiameseL2 method) get_split_fmtstr() (wbia_cnn.dataset.DataSet method) get_state_str() (wbia_cnn.models.abstract_models._ModelStrings method) get_symbol_inputs() (in module wbia_cnn.theano_ext) get_verified_aid_pairs() (in module wbia_cnn._plugin) get_W_shape() (wbia_cnn.custom_layers.LocallyConnected2DLayer method) get_wbia_part_siam_dataset() (in module wbia_cnn.ingest_data) get_wbia_patch_siam_dataset() (in module wbia_cnn.ingest_data) getitem() (wbia_cnn.models.abstract_models.LearnState method) getprop() (wbia_cnn.dataset.DataSet method) grab_dataset() (in module wbia_cnn.ingest_data) grab_liberty_siam_dataset() (in module wbia_cnn.ingest_data) grab_mnist1() (in module wbia_cnn.ingest_helpers) grab_mnist2() (in module wbia_cnn.ingest_helpers) grab_mnist_category_dataset() (in module wbia_cnn.ingest_data) grab_mnist_category_dataset_float() (in module wbia_cnn.ingest_data) grab_mnist_siam_dataset() (in module wbia_cnn.ingest_data) grab_siam_dataset() (in module wbia_cnn.ingest_data) grouped_epochs() (wbia_cnn.models.abstract_models.History method) grouped_epochsT() (wbia_cnn.models.abstract_models.History method)

H

has_saved_state() (wbia_cnn.models.abstract_models._ModelIO method) has_split() (wbia_cnn.dataset.DataSet method) hash_id() (wbia_cnn.models.abstract_models._ModelIDs property)

hashid() (wbia_cnn.dataset.DataSet property) hasprop() (wbia_cnn.dataset.DataSet method) hist_id() (wbia_cnn.models.abstract_models.History property) History (class in wbia_cnn.models.abstract_models)

I

ignore_hardest_cases() (in module wbia_cnn.models.siam) IMPORT_TUPLES (in module wbia_cnn) (in module wbia_cnn.models) imwrite_arch() (wbia_cnn.models.abstract_models._ModelVisualization method) imwrite_theano_symbolic_graph() (in module wbia_cnn.draw_net) info_fpath() (wbia_cnn.dataset.DataSet property) init() (wbia_cnn.models.abstract_models.LearnState method) init_arch() (wbia_cnn.models.abstract_models.BaseModel method) (wbia_cnn.models.aoi.AoIModel method) (wbia_cnn.models.aoi2.AoI2Model method) (wbia_cnn.models.background.BackgroundModel method) (wbia_cnn.models.classifier.ClassifierModel method) (wbia_cnn.models.classifier2.Classifier2Model method) (wbia_cnn.models.dummy.DummyModel method) (wbia_cnn.models.labeler.LabelerModel method) (wbia_cnn.models.mnist.MNISTModel method) (wbia_cnn.models.siam.SiameseCenterSurroundModel method) (wbia_cnn.models.siam.SiameseL2 method) (wbia_cnn.models.viewpoint.ViewpointModel method)

init_encoder() (wbia_cnn.models.abstract_models.AbstractCategoricalModel method) init_from_json() (wbia_cnn.models.abstract_models.BaseModel method) init_output_dims() (wbia_cnn.models.abstract_models.AbstractVectorModel method) input_batchsize() (wbia_cnn.models.abstract_models.BaseModel property) input_channels() (wbia_cnn.models.abstract_models.BaseModel property) input_height() (wbia_cnn.models.abstract_models.BaseModel property) input_width() (wbia_cnn.models.abstract_models.BaseModel property) interact() (wbia_cnn.dataset.DataSet method) interact_dataset() (in module wbia_cnn.draw_results) interact_image_list() (in module wbia_cnn.custom_layers) interact_patches() (in module wbia_cnn.draw_results) interact_siamsese_data_patches() (in module wbia_cnn.draw_results)

K

keys() (wbia_cnn.models.abstract_models.LearnState method)

L

l1() (in module wbia_cnn.lasagne_ext) L1DistanceLayer (class in wbia_cnn.custom_layers) L1NormalizeLayer (class in wbia_cnn.custom_layers) L2NormalizeLayer (class in wbia_cnn.custom_layers) L2SquaredDistanceLayer (class in wbia_cnn.custom_layers) label_order_mapping() (wbia_cnn.models.quality.QualityModel method) (wbia_cnn.models.viewpoint.ViewpointModel method) LabelerModel (class in wbia_cnn.models.labeler) labels() (wbia_cnn.dataset.DataSet property) labels_fpath() (wbia_cnn.dataset.DataSet property) layers_() (wbia_cnn.models.abstract_models._ModelUtility property) learn_encoder() (wbia_cnn.models.siam.SiameseCenterSurroundModel method) (wbia_cnn.models.siam.SiameseL2 method) learning_rate() (wbia_cnn.models.abstract_models.LearnState property) learning_rate_shock() (wbia_cnn.models.background.BackgroundModel method) (wbia_cnn.models.quality.QualityModel method) (wbia_cnn.models.viewpoint.ViewpointModel method) learning_rate_update() (wbia_cnn.models.background.BackgroundModel method) (wbia_cnn.models.quality.QualityModel method) (wbia_cnn.models.viewpoint.ViewpointModel method)

LearnState (class in wbia_cnn.models.abstract_models) list_saved_checkpoints() (wbia_cnn.models.abstract_models._ModelIO method) load() (in module wbia_cnn.utils) (wbia_cnn.dataset.DataSet method) load_extern_weights() (wbia_cnn.models.abstract_models._ModelIO method) load_json_arch_def() (in module wbia_cnn.custom_layers) load_mnist_images() (in module wbia_cnn.ingest_helpers) load_mnist_labels() (in module wbia_cnn.ingest_helpers) load_model_state() (wbia_cnn.models.abstract_models._ModelIO method) load_old_weights_kw() (wbia_cnn.models._model_legacy._ModelLegacy method) load_old_weights_kw2() (wbia_cnn.models._model_legacy._ModelLegacy method) load_splitsets() (wbia_cnn.dataset.DataSet method) LocallyConnected2DLayer (class in wbia_cnn.custom_layers) loss_function() (wbia_cnn.models.abstract_models.AbstractCategoricalModel method) (wbia_cnn.models.abstract_models.AbstractVectorModel method) (wbia_cnn.models.abstract_models.BaseModel method) (wbia_cnn.models.siam.SiameseCenterSurroundModel method) (wbia_cnn.models.siam.SiameseL2 method)

M

main() (in module wbia_cnn.__main__) make_arch_json() (wbia_cnn.models.abstract_models._ModelStrings method) make_bundles() (in module wbia_cnn.custom_layers) make_class_images() (wbia_cnn.draw_net.Dream method) make_conv_weight_image() (in module wbia_cnn.draw_net) make_InteractClasses() (in module wbia_cnn.draw_results) make_InteractSiamPatches() (in module wbia_cnn.draw_results) make_layer_json_dict() (in module wbia_cnn.net_strs) make_layer_str() (in module wbia_cnn.net_strs) make_layers_json() (in module wbia_cnn.net_strs) make_random_indicies() (in module wbia_cnn.utils) make_random_testdata() (wbia_cnn.models.abstract_models._ModelUtility method) mark_inconsistent_viewpoints() (in module wbia_cnn.ingest_wbia) MaxPool2DLayer (class in wbia_cnn.custom_layers) merge_datasets() (in module wbia_cnn.ingest_data) merge_ds_tags() (in module wbia_cnn.netrun) metadata() (wbia_cnn.dataset.DataSet property) metadata_fpath() (wbia_cnn.dataset.DataSet property) MNISTModel (class in wbia_cnn.models.mnist) module wbia_cnn wbia_cnn.__main__ wbia_cnn._plugin wbia_cnn._plugin_grabmodels wbia_cnn._version wbia_cnn.augment wbia_cnn.batch_processing wbia_cnn.custom_layers wbia_cnn.dataset wbia_cnn.draw_net wbia_cnn.draw_results wbia_cnn.experiments wbia_cnn.harness wbia_cnn.ingest_data wbia_cnn.ingest_helpers wbia_cnn.ingest_wbia wbia_cnn.lasagne_ext wbia_cnn.models wbia_cnn.models._model_legacy wbia_cnn.models.abstract_models wbia_cnn.models.aoi wbia_cnn.models.aoi2 wbia_cnn.models.background wbia_cnn.models.classifier wbia_cnn.models.classifier2 wbia_cnn.models.dummy wbia_cnn.models.labeler wbia_cnn.models.mnist wbia_cnn.models.pretrained wbia_cnn.models.quality wbia_cnn.models.siam wbia_cnn.models.viewpoint wbia_cnn.net_strs wbia_cnn.netrun wbia_cnn.process wbia_cnn.test wbia_cnn.theano_ext wbia_cnn.utils

momentum() (wbia_cnn.models.abstract_models.LearnState property) MultiImageRollLayer (class in wbia_cnn.custom_layers) MultiImageSliceLayer (class in wbia_cnn.custom_layers) multinomial_nll() (in module wbia_cnn.utils)

N

netrun() (in module wbia_cnn.netrun) new_training_set() (wbia_cnn.dataset.DataSet class method) non_max_suppression_fast() (in module wbia_cnn._plugin) NonlinearityLayerSpatial (class in wbia_cnn.models.background)

numpy_processed_directory() (in module wbia_cnn.process) numpy_processed_directory2() (in module wbia_cnn.process) numpy_processed_directory3() (in module wbia_cnn.process) numpy_processed_directory4() (in module wbia_cnn.process) numpy_processed_directory5() (in module wbia_cnn.process)

O

occlusion_heatmap() (in module wbia_cnn.draw_net)

open_mnist_files() (in module wbia_cnn.ingest_helpers) output_confusion_matrix() (in module wbia_cnn.draw_net)

P

pad_labels() (in module wbia_cnn.batch_processing) param_basename() (in module wbia_cnn.net_strs) paramstr() (in module wbia_cnn.net_strs) parse_args() (in module wbia_cnn.netrun) PartMatchDataConfig (class in wbia_cnn.ingest_wbia) PatchMetricDataConfig (class in wbia_cnn.ingest_wbia) plot_occlusion() (in module wbia_cnn.draw_net) plot_saliency() (in module wbia_cnn.draw_net) predict() (in module wbia_cnn.models.siam) (wbia_cnn.models.abstract_models._ModelPredicter method) predict_proba() (wbia_cnn.models.abstract_models._ModelPredicter method) predict_proba_Xb() (wbia_cnn.models.abstract_models._ModelPredicter method) prepare_data() (wbia_cnn.models.abstract_models._ModelBatch method) PretrainedNetwork (class in wbia_cnn.models.pretrained) print_arch_str() (wbia_cnn.models.abstract_models._ModelStrings method) print_batch_info() (in module wbia_cnn.batch_processing)

print_dataset_info() (wbia_cnn.dataset.DataSet static method) print_dir_structure() (wbia_cnn.dataset.DataSet method) print_dir_tree() (wbia_cnn.dataset.DataSet method) print_epoch_info() (in module wbia_cnn.utils) print_header_columns() (in module wbia_cnn.utils) print_layer_info() (in module wbia_cnn.net_strs) (wbia_cnn.models.abstract_models._ModelStrings method) print_model_info_str() (wbia_cnn.models.abstract_models._ModelStrings method) print_pretrained_weights() (in module wbia_cnn.net_strs) print_state_str() (wbia_cnn.models.abstract_models._ModelStrings method) print_structure() (wbia_cnn.models.abstract_models._ModelIO method) print_subset_info() (wbia_cnn.dataset.DataSet method) process_batch() (in module wbia_cnn.batch_processing) (wbia_cnn.models.abstract_models._ModelBatch method) process_image_directory() (in module wbia_cnn.process) pydot_to_image() (in module wbia_cnn.draw_net)

Q

QualityModel (class in wbia_cnn.models.quality)

R

random_affine_args() (in module wbia_cnn.augment) random_affine_kwargs() (in module wbia_cnn.augment) random_xy_sample() (in module wbia_cnn.utils) reassign_submodule_attributes() (in module wbia_cnn) (in module wbia_cnn.models) record_epoch() (wbia_cnn.models.abstract_models.History method) reinit_weights() (wbia_cnn.models.abstract_models.BaseModel method) reload_subs() (in module wbia_cnn) (in module wbia_cnn.models) remove_unknown_training_pairs() (in module wbia_cnn.ingest_wbia) render_arch() (wbia_cnn.models.abstract_models._ModelVisualization method) report_error() (in module wbia_cnn.models.abstract_models) resolve_fuzzy_checkpoint_pattern() (wbia_cnn.models.abstract_models._ModelIO method) rewind_to() (wbia_cnn.models.abstract_models.History method) rrr() (wbia_cnn.custom_layers.LocallyConnected2DLayer method) (wbia_cnn.dataset.DataSet method) (wbia_cnn.models._model_legacy._ModelLegacy method) (wbia_cnn.models.abstract_models._BatchUtility method) (wbia_cnn.models.abstract_models._ModelBatch method) (wbia_cnn.models.abstract_models._ModelFitter method) (wbia_cnn.models.abstract_models._ModelIDs method) (wbia_cnn.models.abstract_models._ModelIO method) (wbia_cnn.models.abstract_models._ModelStrings method) (wbia_cnn.models.abstract_models._ModelVisualization method) (wbia_cnn.models.abstract_models.AbstractCategoricalModel method) (wbia_cnn.models.abstract_models.AbstractVectorModel method) (wbia_cnn.models.abstract_models.AbstractVectorVectorModel method) (wbia_cnn.models.abstract_models.BaseModel method) (wbia_cnn.models.abstract_models.History method) (wbia_cnn.models.abstract_models.LearnState method) (wbia_cnn.models.aoi.AoIModel method) (wbia_cnn.models.aoi2.AoI2Model method) (wbia_cnn.models.background.BackgroundModel method) (wbia_cnn.models.classifier.ClassifierModel method) (wbia_cnn.models.classifier2.Classifier2Model method) (wbia_cnn.models.dummy.DummyModel method) (wbia_cnn.models.labeler.LabelerModel method) (wbia_cnn.models.mnist.MNISTModel method) (wbia_cnn.models.quality.QualityModel method) (wbia_cnn.models.siam.AbstractSiameseModel method) (wbia_cnn.models.siam.SiameseCenterSurroundModel method) (wbia_cnn.models.siam.SiameseL2 method) (wbia_cnn.models.viewpoint.ViewpointModel method)

rrrr() (in module wbia_cnn) (in module wbia_cnn.models)

S

saliency() (wbia_cnn.draw_net.Dream method) save() (wbia_cnn.dataset.DataSet method) save_confusion_matrix() (in module wbia_cnn.draw_net) save_model() (in module wbia_cnn.utils) save_model_info() (wbia_cnn.models.abstract_models._ModelIO method) save_model_state() (wbia_cnn.models.abstract_models._ModelIO method) save_pretrained_weights_slice() (in module wbia_cnn.utils) saved_session_dpath() (wbia_cnn.models.abstract_models._ModelIO property) set_all_param_values() (wbia_cnn.models.abstract_models._ModelUtility method) setitem() (wbia_cnn.models.abstract_models.LearnState method) setprop() (wbia_cnn.dataset.DataSet method) shapestr() (in module wbia_cnn.net_strs) shared() (wbia_cnn.models.abstract_models.LearnState property) shock_network() (in module wbia_cnn.utils) show_arch() (wbia_cnn.models.abstract_models._ModelVisualization method) show_arch_nx_graph() (in module wbia_cnn.draw_net) show_augmented_patches() (in module wbia_cnn.augment) show_class_dream() (wbia_cnn.models.abstract_models._ModelVisualization method) show_confusion_matrix() (in module wbia_cnn.draw_net) show_convolutional_weights() (in module wbia_cnn.draw_net) show_hard_cases() (in module wbia_cnn.experiments) show_image_from_data() (in module wbia_cnn.utils) show_loss_history() (wbia_cnn.models.abstract_models._ModelVisualization method)

show_pr_history() (wbia_cnn.models.abstract_models._ModelVisualization method) show_regularization_stuff() (wbia_cnn.models.abstract_models._ModelVisualization method) show_saliency_heatmap() (in module wbia_cnn.draw_net) show_update_mag_history() (wbia_cnn.models.abstract_models._ModelVisualization method) show_weight_updates() (wbia_cnn.models.abstract_models._ModelVisualization method) show_weights_image() (wbia_cnn.models.abstract_models._ModelVisualization method) shuffle_input() (wbia_cnn.models.abstract_models._BatchUtility class method) siamese_loss() (in module wbia_cnn.lasagne_ext) SiameseCenterSurroundModel (class in wbia_cnn.models.siam) SiameseConcatLayer (class in wbia_cnn.custom_layers) SiameseL2 (class in wbia_cnn.models.siam) sift_dataset_separability() (in module wbia_cnn.experiments) slice_batch() (wbia_cnn.models.abstract_models._BatchUtility class method) slice_data_labels() (in module wbia_cnn.utils) split_dpath() (wbia_cnn.dataset.DataSet property) stacked_img_pairs() (in module wbia_cnn.augment) stratified_kfold_label_split() (in module wbia_cnn.dataset) stratified_label_shuffle_split() (in module wbia_cnn.dataset) stratified_shuffle_split() (in module wbia_cnn.dataset) subset() (wbia_cnn.dataset.DataSet method) subset_data() (wbia_cnn.dataset.DataSet method) subset_labels() (wbia_cnn.dataset.DataSet method) subset_metadata() (wbia_cnn.dataset.DataSet method) surround() (in module wbia_cnn.net_strs)

T

tagstr() (in module wbia_cnn.net_strs) test() (in module wbia_cnn.test) test_convolutional() (in module wbia_cnn._plugin) test_siamese_performance() (in module wbia_cnn.experiments) test_siamese_thresholds() (in module wbia_cnn.experiments) test_sift_patchmatch_scores() (in module wbia_cnn.experiments) test_transforms() (in module wbia_cnn.augment) testdata_augment() (in module wbia_cnn.augment) testdata_centersurround() (in module wbia_cnn.custom_layers) testdata_contrastive_loss() (in module wbia_cnn.lasagne_ext) testdata_dataset() (in module wbia_cnn.ingest_data) testdata_imglist() (in module wbia_cnn.utils) testdata_input_layer() (in module wbia_cnn.custom_layers) testdata_mnist() (in module wbia_cnn.models.mnist) testdata_model_with_history() (in module wbia_cnn.models.abstract_models)

testdata_patchmatch() (in module wbia_cnn.ingest_data) testdata_patchmatch2() (in module wbia_cnn.ingest_data) testdata_siam_desc() (in module wbia_cnn.models.siam) testdata_xy() (in module wbia_cnn.utils) to_json() (wbia_cnn.models.abstract_models.History method) total_epochs() (wbia_cnn.models.abstract_models.History property) total_eras() (wbia_cnn.models.abstract_models.History property) train_aoi() (in module wbia_cnn.models.aoi) train_aoi2() (in module wbia_cnn.models.aoi2) train_background() (in module wbia_cnn.models.background) train_classifier() (in module wbia_cnn.models.classifier) train_classifier2() (in module wbia_cnn.models.classifier2) train_labeler() (in module wbia_cnn.models.labeler) train_test_split() (in module wbia_cnn.utils) trained_arch_dpath() (wbia_cnn.models.abstract_models._ModelIO property) trained_model_dpath() (wbia_cnn.models.abstract_models._ModelIO property)

U

unique_labels() (wbia_cnn.dataset.DataSet property)

V

validate_annot_species_viewpoint_cnn() (in module wbia_cnn._plugin) vd() (wbia_cnn.dataset.DataSet method) view_directory() (wbia_cnn.dataset.DataSet method)

view_numpy_data() (in module wbia_cnn.process) view_training_directories() (in module wbia_cnn.ingest_data) ViewpointModel (class in wbia_cnn.models.viewpoint) visualize_score_separability() (in module wbia_cnn.draw_results)

W

wbia_cnn module wbia_cnn.__main__ module wbia_cnn._plugin module wbia_cnn._plugin_grabmodels module wbia_cnn._version module wbia_cnn.augment module wbia_cnn.batch_processing module wbia_cnn.custom_layers module wbia_cnn.dataset module wbia_cnn.draw_net module wbia_cnn.draw_results module wbia_cnn.experiments module wbia_cnn.harness module wbia_cnn.ingest_data module wbia_cnn.ingest_helpers module wbia_cnn.ingest_wbia module wbia_cnn.lasagne_ext module wbia_cnn.models module wbia_cnn.models._model_legacy module

wbia_cnn.models.abstract_models module wbia_cnn.models.aoi module wbia_cnn.models.aoi2 module wbia_cnn.models.background module wbia_cnn.models.classifier module wbia_cnn.models.classifier2 module wbia_cnn.models.dummy module wbia_cnn.models.labeler module wbia_cnn.models.mnist module wbia_cnn.models.pretrained module wbia_cnn.models.quality module wbia_cnn.models.siam module wbia_cnn.models.viewpoint module wbia_cnn.net_strs module wbia_cnn.netrun module wbia_cnn.process module wbia_cnn.test module wbia_cnn.theano_ext module wbia_cnn.utils module weight_decay() (wbia_cnn.models.abstract_models.LearnState property)