wbia.other package

Submodules

wbia.other.dbinfo module

get_dbinfo is probably the only usefull funciton in here # This is not the cleanest module

wbia.other.dbinfo.cache_memory_stats(ibs, cid_list, fnum=None)

wbia.other.dbinfo.get_dbinfo(ibs, verbose=True, with_imgsize=True, with_bytes=True, with_contrib=True, with_agesex=True, with_header=True, with_reviews=True, with_ggr=False, with_ca=False, with_map=False, short=False, tag='dbinfo', aid_list=None, aids=None, gmt_offset=3.0)

Returns dictionary of digestable database information Infostr is a string summary of all the stats. Prints infostr in addition to returning locals

Parameters

• ibs (IBEISController) –

• verbose (bool) –

• with_imgsize (bool) –

• with_bytes (bool) –

Returns

Return type

dict

SeeAlso:

python -m wbia.other.ibsfuncs –exec-get_annot_stats_dict –db PZ_PB_RF_TRAIN –use-hist=True –old=False –per_name_vpedge=False python -m wbia.other.ibsfuncs –exec-get_annot_stats_dict –db PZ_PB_RF_TRAIN –all

CommandLine:

python -m wbia.other.dbinfo –exec-get_dbinfo:0 python -m wbia.other.dbinfo –test-get_dbinfo:1 python -m wbia.other.dbinfo –test-get_dbinfo:0 –db NNP_Master3 python -m wbia.other.dbinfo –test-get_dbinfo:0 –db PZ_Master1 python -m wbia.other.dbinfo –test-get_dbinfo:0 –db GZ_ALL python -m wbia.other.dbinfo –exec-get_dbinfo:0 –db PZ_ViewPoints python -m wbia.other.dbinfo –exec-get_dbinfo:0 –db GZ_Master1

python -m wbia.other.dbinfo –exec-get_dbinfo:0 –db LF_Bajo_bonito -a default python -m wbia.other.dbinfo –exec-get_dbinfo:0 –db DETECT_SEATURTLES -a default –readonly

python -m wbia.other.dbinfo –exec-get_dbinfo:0 -a ctrl python -m wbia.other.dbinfo –exec-get_dbinfo:0 -a default:minqual=ok,require_timestamp=True –dbdir ~/lev/media/danger/LEWA python -m wbia.other.dbinfo –exec-get_dbinfo:0 -a default:minqual=ok,require_timestamp=True –dbdir ~/lev/media/danger/LEWA –loadbackup=0

python -m wbia.other.dbinfo –exec-get_dbinfo:0 -a default: –dbdir ~/lev/media/danger/LEWA python -m wbia.other.dbinfo –exec-get_dbinfo:0 -a default: –dbdir ~/lev/media/danger/LEWA –loadbackup=0

Example

>>> # DISABLE_DOCTEST
>>> from wbia.other.dbinfo import *  # NOQA
>>> import wbia
>>> defaultdb = 'testdb1'
>>> ibs, aid_list = wbia.testdata_aids(defaultdb, a='default:minqual=ok,view=primary,view_ext1=1')
>>> kwargs = ut.get_kwdefaults(get_dbinfo)
>>> kwargs['verbose'] = False
>>> kwargs['aid_list'] = aid_list
>>> kwargs = ut.parse_dict_from_argv(kwargs)
>>> output = get_dbinfo(ibs, **kwargs)
>>> result = (output['info_str'])
>>> print(result)
>>> #ibs = wbia.opendb(defaultdb='testdb1')
>>> # <HACK FOR FILTERING>
>>> #from wbia.expt import cfghelpers
>>> #from wbia.expt import annotation_configs
>>> #from wbia.init import filter_annots
>>> #named_defaults_dict = ut.dict_take(annotation_configs.__dict__,
>>> #                                   annotation_configs.TEST_NAMES)
>>> #named_qcfg_defaults = dict(zip(annotation_configs.TEST_NAMES,
>>> #                               ut.get_list_column(named_defaults_dict, 'qcfg')))
>>> #acfg = cfghelpers.parse_argv_cfg(('--annot-filter', '-a'), named_defaults_dict=named_qcfg_defaults, default=None)[0]
>>> #aid_list = ibs.get_valid_aids()
>>> # </HACK FOR FILTERING>

Example

>>> # DISABLE_DOCTEST
>>> from wbia.other.dbinfo import *  # NOQA
>>> import wbia
>>> verbose = True
>>> short = True
>>> #ibs = wbia.opendb(db='GZ_ALL')
>>> #ibs = wbia.opendb(db='PZ_Master0')
>>> ibs = wbia.opendb('testdb1')
>>> assert ibs.get_dbname() == 'testdb1', 'DO NOT DELETE CONTRIBUTORS OF OTHER DBS'
>>> ibs.delete_contributors(ibs.get_valid_contributor_rowids())
>>> ibs.delete_empty_nids()
>>> #ibs = wbia.opendb(db='PZ_MTEST')
>>> output = get_dbinfo(ibs, with_contrib=False, verbose=False, short=True)
>>> result = (output['info_str'])
>>> print(result)
+============================
DB Info:  testdb1
DB Notes: None
DB NumContrib: 0
----------
# Names                      = 7
# Names (unassociated)       = 0
# Names (singleton)          = 5
# Names (multiton)           = 2
----------
# Annots                     = 13
# Annots (unknown)           = 4
# Annots (singleton)         = 5
# Annots (multiton)          = 4
----------
# Img                        = 13
L============================

wbia.other.dbinfo.get_short_infostr(ibs)

Returns printable database information

Parameters

ibs (IBEISController) – wbia controller object

Returns

infostr

Return type

str

CommandLine:

python -m wbia.other.dbinfo –test-get_short_infostr

Example

>>> # ENABLE_DOCTEST
>>> from wbia.other.dbinfo import *  # NOQA
>>> import wbia
>>> ibs = wbia.opendb('testdb1')
>>> infostr = get_short_infostr(ibs)
>>> result = str(infostr)
>>> print(result)
dbname = 'testdb1'
num_images = 13
num_annotations = 13
num_names = 7

wbia.other.dbinfo.hackshow_names(ibs, aid_list, fnum=None)

Parameters

• ibs (IBEISController) – wbia controller object

• aid_list (list) –

CommandLine:

python -m wbia.other.dbinfo –exec-hackshow_names –show python -m wbia.other.dbinfo –exec-hackshow_names –show –db PZ_Master1

Example

>>> # DISABLE_DOCTEST
>>> from wbia.other.dbinfo import *  # NOQA
>>> import wbia
>>> ibs = wbia.opendb(defaultdb='PZ_MTEST')
>>> aid_list = ibs.get_valid_aids()
>>> result = hackshow_names(ibs, aid_list)
>>> print(result)
>>> ut.show_if_requested()

wbia.other.dbinfo.latex_dbstats(ibs_list, **kwargs)

Parameters

ibs (IBEISController) – wbia controller object

CommandLine:

python -m wbia.other.dbinfo –exec-latex_dbstats –dblist testdb1 python -m wbia.other.dbinfo –exec-latex_dbstats –dblist testdb1 –show python -m wbia.other.dbinfo –exec-latex_dbstats –dblist PZ_Master0 testdb1 –show python -m wbia.other.dbinfo –exec-latex_dbstats –dblist PZ_Master0 PZ_MTEST GZ_ALL –show python -m wbia.other.dbinfo –test-latex_dbstats –dblist GZ_ALL NNP_MasterGIRM_core –show

Example

>>> # DISABLE_DOCTEST
>>> from wbia.other.dbinfo import *  # NOQA
>>> import wbia
>>> db_list = ut.get_argval('--dblist', type_=list, default=['testdb1'])
>>> ibs_list = [wbia.opendb(db=db) for db in db_list]
>>> tabular_str = latex_dbstats(ibs_list)
>>> tabular_cmd = ut.latex_newcommand(ut.latex_sanitize_command_name('DatabaseInfo'), tabular_str)
>>> ut.copy_text_to_clipboard(tabular_cmd)
>>> write_fpath = ut.get_argval('--write', type_=str, default=None)
>>> if write_fpath is not None:
>>>     fpath = ut.truepath(write_fpath)
>>>     text = ut.readfrom(fpath)
>>>     new_text = ut.replace_between_tags(text, tabular_cmd, '% <DBINFO>', '% </DBINFO>')
>>>     ut.writeto(fpath, new_text)
>>> ut.print_code(tabular_cmd, 'latex')
>>> ut.quit_if_noshow()
>>> ut.render_latex_text('\\noindent \n' + tabular_str)

wbia.other.dbinfo.print_qd_info(ibs, qaid_list, daid_list, verbose=False)

SeeAlso:

ibs.print_annotconfig_stats(qaid_list, daid_list)

information for a query/database aid configuration

wbia.other.dbinfo.show_image_time_distributions(ibs, gid_list)

Parameters

• ibs (IBEISController) – wbia controller object

• gid_list (list) –

CommandLine:

python -m wbia.other.dbinfo show_image_time_distributions –show python -m wbia.other.dbinfo show_image_time_distributions –show –db lynx

Example

>>> # DISABLE_DOCTEST
>>> from wbia.other.dbinfo import *  # NOQA
>>> import wbia
>>> ibs = wbia.opendb(defaultdb='testdb1')
>>> aids = wbia.testdata_aids(ibs=ibs)
>>> gid_list = ut.unique_unordered(ibs.get_annot_gids(aids))
>>> result = show_image_time_distributions(ibs, gid_list)
>>> print(result)
>>> ut.show_if_requested()

wbia.other.dbinfo.show_time_distributions(ibs, unixtime_list)

wbia.other.dbinfo.sight_resight_count(nvisit1, nvisit2, resight)

Lincoln Petersen Index

The Lincoln-Peterson index is a method used to estimate the total number of individuals in a population given two independent sets observations. The likelihood of a population size is a hypergeometric distribution given by assuming a uniform sampling distribution.

Parameters

• nvisit1 (int) – the number of individuals seen on visit 1.

• nvisit2 (int) – be the number of individuals seen on visit 2.

• resight (int) – the number of (matched) individuals seen on both visits.

Returns

(pl_index, pl_error)

Return type

tuple

LaTeX:

begin{equation}label{eqn:lpifull}

L(poptotal given nvisit_1, nvisit_2, resight) = frac{

binom{nvisit_1}{resight} binom{poptotal - nvisit_1}{nvisit_2 - resight}

}{

binom{poptotal}{nvisit_2}

}

end{equation} Assuming that $T$ has a uniform prior distribution, the maximum

likelihood estimation of population size given two visits to a location is:

begin{equation}label{eqn:lpi}

poptotal approx frac{nvisit_1 nvisit_2}{resight} pm 1.96 sqrt{frac{{(nvisit_1)}^2 (nvisit_2) (nvisit_2 - resight)}{resight^3}}

end{equation}

References

https://en.wikipedia.org/wiki/Mark_and_recapture https://en.wikipedia.org/wiki/Talk:Mark_and_recapture#Statistical_treatment https://mail.google.com/mail/u/0/#search/lincoln+peterse+n/14c6b50227f5209f https://probabilityandstats.wordpress.com/tag/maximum-likelihood-estimate/ http://math.arizona.edu/~jwatkins/o-mle.pdf

CommandLine:

python -m wbia.other.dbinfo sight_resight_count –show

Example

>>> # DISABLE_DOCTEST
>>> from wbia.other.dbinfo import *  # NOQA
>>> nvisit1 = 100
>>> nvisit2 = 20
>>> resight = 10
>>> (pl_index, pl_error) = sight_resight_count(nvisit1, nvisit2, resight)
>>> result = '(pl_index, pl_error) = %s' % ut.repr2((pl_index, pl_error))
>>> pl_low = max(pl_index - pl_error, 1)
>>> pl_high = pl_index + pl_error
>>> print('pl_low = %r' % (pl_low,))
>>> print('pl_high = %r' % (pl_high,))
>>> print(result)
>>> ut.quit_if_noshow()
>>> import wbia.plottool as pt
>>> import scipy, scipy.stats
>>> x = pl_index  # np.array([10, 11, 12])
>>> k, N, K, n = resight, x, nvisit1, nvisit2
>>> #k, M, n, N = k, N, k, n  # Wiki to SciPy notation
>>> #prob = scipy.stats.hypergeom.cdf(k, N, K, n)
>>> fig = pt.figure(1)
>>> fig.clf()
>>> N_range = np.arange(1, pl_high * 2)
>>> # Something seems to be off
>>> probs = sight_resight_prob(N_range, nvisit1, nvisit2, resight)
>>> pl_prob = sight_resight_prob([pl_index], nvisit1, nvisit2, resight)[0]
>>> pt.plot(N_range, probs, 'b-', label='probability of population size')
>>> pt.plt.title('nvisit1=%r, nvisit2=%r, resight=%r' % (
>>>     nvisit1, nvisit2, resight))
>>> pt.plot(pl_index, pl_prob, 'rx', label='Lincoln Peterson Estimate')
>>> pt.plot([pl_low, pl_high], [pl_prob, pl_prob], 'gx-',
>>>         label='Lincoln Peterson Error Bar')
>>> pt.legend()
>>> ut.show_if_requested()

wbia.other.detectcore module

Developer convenience functions for ibs (detections).

TODO: need to split up into sub modules:

consistency_checks feasibility_fixes move the export stuff to dbio

then there are also convineience functions that need to be ordered at least within this file

wbia.other.detectcore.classifier_visualize_training_localizations(ibs, classifier_weight_filepath, species_list=['zebra'], scheme=2, output_path=None, values=None, **kwargs)

wbia.other.detectcore.export_to_coco(ibs, species_list, species_mapping={}, viewpoint_mapping={}, target_size=2400, use_maximum_linear_dimension=True, use_existing_train_test=True, include_parts=False, gid_list=None, include_reviews=False, require_image_reviewed=False, require_named=False, output_images=True, use_global_train_set=False, **kwargs)

Create training COCO dataset for training models.

wbia.other.detectcore.export_to_pascal(ibs, *args, **kwargs)

Alias for export_to_xml

wbia.other.detectcore.export_to_xml(ibs, species_list, species_mapping=None, offset='auto', enforce_viewpoint=False, target_size=900, purge=False, use_maximum_linear_dimension=True, use_existing_train_test=True, include_parts=False, gid_list=None, output_path=None, allow_empty_images=False, min_annot_size=5, **kwargs)

Create training XML for training models.

wbia.other.detectcore.imageset_train_test_split(ibs, train_split=0.8, is_tile=False, gid_list=None, **kwargs)

wbia.other.detectcore.localizer_distributions(ibs, threshold=10, dataset=None)

wbia.other.detectcore.nms(dets, scores, thresh, use_cpu=True)

wbia.other.detectcore.redownload_detection_models(ibs)

Re-download detection models.

Parameters

ibs (IBEISController) –

CommandLine:

python -c “from wbia.algo.detect import grabmodels; grabmodels.redownload_models()” python -c “import utool, wbia.algo; utool.view_directory(wbia.algo.detect.grabmodels._expand_modeldir())”

Example

>>> # DISABLE_DOCTEST
>>> from wbia.other.detectcore import *  # NOQA
>>> import wbia  # NOQA
>>> ibs = wbia.opendb('testdb1')
>>> result = redownload_detection_models(ibs)
>>> print(result)

wbia.other.detectcore.view_model_dir(ibs)

wbia.other.detectcore.visualize_bounding_boxes(ibs, config, version, gid_list=None, randomize=False, num_images=10, t_width=500, output_path=None)

wbia.other.detectcore.visualize_distributions(distro_dict, threshold=10)

wbia.other.detectcore.visualize_ground_truth(ibs, config, **kwargs)

wbia.other.detectcore.visualize_pascal_voc_dataset(ibs, dataset_path, num_examples=30, randomize=False, write=True, write_path=None)

Visualize the PASCAL VOC dataset.

Parameters

• ibs (IBEISController) –

• dataset_path (str) – the dataset path in the PASCAL VOC format

• num_examples (int, optional) – the number of examples to draw

• randomize (bool, optional) – if to randomize the visualization

• write (bool, optional) – if to display or write the files

CommandLine:

python -m wbia.other.detectcore –test-visualize_pascal_voc_dataset

Example

>>> # DISABLE_DOCTEST
>>> from wbia.other.detectcore import *  # NOQA
>>> import wbia  # NOQA
>>> ibs = wbia.opendb('testdb1')
>>> dataset_path = '/Users/jason.parham/Downloads/wilddog_data/data/VOCdevkit/VOC2020/'
>>> # dataset_path = '/Users/jason.parham/Downloads/LearningData/'
>>> # dataset_path = '/Users/jason.parham/Downloads/VOCdevkit/VOC2018/'
>>> ibs.visualize_pascal_voc_dataset(dataset_path, randomize=True)

wbia.other.detectcore.visualize_predictions(ibs, config, **kwargs)

wbia.other.detectexport module

wbia.other.detectfuncs module

Developer convenience functions for ibs (detections).

TODO: need to split up into sub modules:

consistency_checks feasibility_fixes move the export stuff to dbio

then there are also convineience functions that need to be ordered at least within this file

wbia.other.detectfuncs.aoi2_confusion_matrix_algo_plot(ibs, label, color, conf, output_cases=False, category_list=None, test_gid_set_=None, **kwargs)

wbia.other.detectfuncs.aoi2_precision_recall_algo(ibs, category_list=None, test_gid_set_=None, **kwargs)

wbia.other.detectfuncs.aoi2_precision_recall_algo_display(ibs, test_gid_list=None, output_cases=False, figsize=(20, 20))

wbia.other.detectfuncs.aoi2_precision_recall_algo_plot(ibs, **kwargs)

wbia.other.detectfuncs.aoi2_roc_algo_plot(ibs, **kwargs)

wbia.other.detectfuncs.background_accuracy_display(ibs, category_list, test_gid_set=None, output_path=None)

wbia.other.detectfuncs.canonical_confusion_matrix_algo_plot(ibs, label, color, conf, species, output_cases=False, **kwargs)

wbia.other.detectfuncs.canonical_localization_deviation_plot(ibs, attribute, color, index, label=None, species=None, marker='o', **kwargs)

wbia.other.detectfuncs.canonical_localization_iou_plot(ibs, color, index, label=None, species=None, marker='o', threshold=0.75, **kwargs)

wbia.other.detectfuncs.canonical_localization_iou_visualize(ibs, index, test_aid_set, test_bbox_set, prediction_list, overlap_list, color_list, label=None, species=None, **kwargs)

wbia.other.detectfuncs.canonical_localization_precision_recall_algo_display(ibs, figsize=(20, 40))

wbia.other.detectfuncs.canonical_precision_recall_algo(ibs, species, **kwargs)

wbia.other.detectfuncs.canonical_precision_recall_algo_display(ibs, figsize=(20, 20))

wbia.other.detectfuncs.canonical_precision_recall_algo_plot(ibs, **kwargs)

wbia.other.detectfuncs.canonical_roc_algo_plot(ibs, **kwargs)

wbia.other.detectfuncs.classifier2_precision_recall_algo(ibs, category, species_mapping={}, output_path=None, test_gid_list=None, test_label_list=None, **kwargs)

wbia.other.detectfuncs.classifier2_precision_recall_algo_display(ibs, species_list=None, species_mapping={}, nice_mapping={}, test_gid_list=None, test_label_list=None, figsize=(20, 9), **kwargs)

wbia.other.detectfuncs.classifier2_precision_recall_algo_plot(ibs, **kwargs)

wbia.other.detectfuncs.classifier2_roc_algo_plot(ibs, **kwargs)

wbia.other.detectfuncs.classifier_cameratrap_confusion_matrix_algo_plot(ibs, label, color, conf, positive_imageset_id, negative_imageset_id, output_cases=False, **kwargs)

wbia.other.detectfuncs.classifier_cameratrap_precision_recall_algo(ibs, positive_imageset_id, negative_imageset_id, **kwargs)

wbia.other.detectfuncs.classifier_cameratrap_precision_recall_algo_display(ibs, positive_imageset_id, negative_imageset_id, config_list=None, figsize=(20, 20))

wbia.other.detectfuncs.classifier_cameratrap_precision_recall_algo_plot(ibs, **kwargs)

wbia.other.detectfuncs.classifier_cameratrap_roc_algo_plot(ibs, **kwargs)

wbia.other.detectfuncs.detector_parse_gt(ibs, test_gid_list=None, **kwargs)

wbia.other.detectfuncs.general_area_best_conf(conf_list, x_list, y_list, label='Unknown', color='b', marker='o', plot_point=True, interpolate=True, target=(1.0, 1.0), target_recall=None, **kwargs)

wbia.other.detectfuncs.general_confusion_matrix_algo(label_correct_list, label_predict_list, category_list, category_mapping, fig_, axes_, fuzzy_dict=None, conf=None, conf_list=None, size=10, **kwargs)

wbia.other.detectfuncs.general_get_imageset_gids(ibs, imageset_text, unique=True, **kwargs)

wbia.other.detectfuncs.general_identify_operating_point(conf_list, x_list, y_list, target=(1.0, 1.0))

wbia.other.detectfuncs.general_interpolate_precision_recall(conf_list, re_list, pr_list)

wbia.other.detectfuncs.general_intersection_over_union(bbox1, bbox2)

wbia.other.detectfuncs.general_overlap(gt_list, pred_list)

wbia.other.detectfuncs.general_parse_gt(ibs, test_gid_list=None, **kwargs)

wbia.other.detectfuncs.general_parse_gt_annots(ibs, aid_list, include_parts=True, species_mapping={}, gt_species_mapping={}, **kwargs)

wbia.other.detectfuncs.general_precision_recall_algo(ibs, label_list, confidence_list, category='positive', samples=1000, **kwargs)

wbia.other.detectfuncs.general_tp_fp_fn(gt_list, pred_list, min_overlap, **kwargs)

wbia.other.detectfuncs.get_species_nice_mapping(ibs, species)

wbia.other.detectfuncs.labeler_confusion_matrix_algo_plot(ibs, category_list, species_mapping={}, viewpoint_mapping={}, category_mapping=None, test_gid_set=None, **kwargs)

wbia.other.detectfuncs.labeler_precision_recall_algo(ibs, category_list, label_dict, **kwargs)

wbia.other.detectfuncs.labeler_precision_recall_algo_display(ibs, category_list=None, species_mapping={}, viewpoint_mapping={}, category_mapping=None, fuzzy_dict=None, figsize=(30, 9), test_gid_set=None, use_axis_aligned_chips=False, labeler_weight_filepath=None, config_list=None, **kwargs)

wbia.other.detectfuncs.labeler_precision_recall_algo_plot(ibs, **kwargs)

wbia.other.detectfuncs.labeler_roc_algo_plot(ibs, **kwargs)

wbia.other.detectfuncs.labeler_tp_tn_fp_fn(ibs, category_list, species_mapping={}, viewpoint_mapping={}, samples=1000, test_gid_set=None, **kwargs)

wbia.other.detectfuncs.localizer_assign(gt_list, pred, min_overlap)

wbia.other.detectfuncs.localizer_assignments(pred_list, gt_list, gt_list_=[], min_overlap=0.5)

wbia.other.detectfuncs.localizer_confusion_matrix_algo_plot(ibs, label=None, target_conf=None, test_gid_list=None, **kwargs)

wbia.other.detectfuncs.localizer_iou_recall_algo(ibs, samples=100, test_gid_list=None, ignore_filter_func=None, **kwargs)

wbia.other.detectfuncs.localizer_iou_recall_algo_plot(ibs, **kwargs)

wbia.other.detectfuncs.localizer_parse_pred(ibs, test_gid_list=None, species_mapping={}, pred_species_mapping={}, **kwargs)

wbia.other.detectfuncs.localizer_parse_pred_dirty(ibs, test_gid_list, species_mapping_, **kwargs)

wbia.other.detectfuncs.localizer_precision_recall(ibs, config_dict=None, output_path=None, test_gid_list=None, **kwargs)

wbia.other.detectfuncs.localizer_precision_recall_algo(ibs, samples=1000, test_gid_list=None, **kwargs)

wbia.other.detectfuncs.localizer_precision_recall_algo_display(ibs, config_list, config_tag='', min_overlap=0.5, figsize=(40, 9), target_recall=0.8, BEST_INDEX=None, offset_color=0, write_images=False, plot_point=True, output_path=None, plot_iou_recall=True, **kwargs)

wbia.other.detectfuncs.localizer_precision_recall_algo_display_animate(ibs, config_list, **kwargs)

wbia.other.detectfuncs.localizer_precision_recall_algo_plot(ibs, **kwargs)

wbia.other.detectfuncs.localizer_tp_fp(uuid_list, gt_dict, pred_dict, min_overlap=0.5, **kwargs)

wbia.other.detectfuncs.simple_code(label)

wbia.other.detectgrave module

wbia.other.detecttrain module

Developer convenience functions for ibs (detections).

TODO: need to split up into sub modules:

consistency_checks feasibility_fixes move the export stuff to dbio

then there are also convineience functions that need to be ordered at least within this file

wbia.other.detecttrain.aoi2_train(ibs, species_list=None, train_gid_list=None, purge=True, cache=False)

wbia.other.detecttrain.aoi_train(ibs, species_list=None)

wbia.other.detecttrain.background_train(ibs, species, train_gid_set=None, global_limit=500000, **kwargs)

Example: >>> values = output_path, X_file, y_file >>> print(values) >>> output_path, X_file, y_file = values >>> from wbia_cnn.models.background import train_background >>> values = ( >>> ‘/data/ibeis/IMS_Master/_ibsdb/_ibeis_cache/training/background’, >>> ‘/data/ibeis/IMS_Master/_ibsdb/_ibeis_cache/extracted/background/raw/X.npy’, >>> ‘/data/ibeis/IMS_Master/_ibsdb/_ibeis_cache/extracted/background/labels/y.npy’ >>> ) >>> output_path, X_file, y_file = values

wbia.other.detecttrain.canonical_classifier_train(ibs, species, ensembles=3, extracted_path=None, **kwargs)

wbia.other.detecttrain.canonical_localizer_train(ibs, species, ensembles=3, **kwargs)

wbia.other.detecttrain.classifier2_train(ibs, species_list=None, species_mapping={}, train_gid_set=None, **kwargs)

wbia.other.detecttrain.classifier_binary_train(ibs, species_list, **kwargs)

wbia.other.detecttrain.classifier_cameratrap_densenet_train(ibs, positive_imageset_id, negative_imageset_id, ensembles=3, **kwargs)

wbia.other.detecttrain.classifier_cameratrap_train(ibs, positive_imageset_id, negative_imageset_id, **kwargs)

wbia.other.detecttrain.classifier_multiclass_densenet_train(ibs, gid_list, label_list, ensembles=3, **kwargs)

>>> import uuid
>>> manifest_filepath = join(ibs.dbdir, 'flukebook_groundtruth.csv')
>>> with open(manifest_filepath, 'r') as manifest_file:
>>>     line_list = manifest_file.readlines()
>>>
>>> label_dict = {
>>>     'Left Dorsal Fin'  : 'left_dorsal_fin',
>>>     'Right Dorsal Fin' : 'right_dorsal_fin',
>>>     'Tail Fluke'       : 'tail_fluke',
>>> }
>>>
>>> uuid_list = []
>>> label_list = []
>>> for line in line_list:
>>>     line = line.strip().split(',')
>>>     assert len(line) == 2
>>>     uuid_, label_ = line
>>>     uuid_ = uuid.UUID(uuid_)
>>>     label_ = label_.strip()
>>>     print(uuid_, label_)
>>>     uuid_list.append(uuid_)
>>>     label_ = label_dict.get(label_, None)
>>>     assert label_ is not None
>>>     label_list.append(label_)
>>>
>>> gid_list = ibs.get_image_gids_from_uuid(uuid_list)
>>> assert None not in gid_list
>>> # archive_path = ibs.classifier_multiclass_densenet_train(gid_list, label_list)
>>> ibs.classifier2_precision_recall_algo_display(test_gid_list=gid_list, test_label_list=label_list)

wbia.other.detecttrain.classifier_train(ibs, **kwargs)

wbia.other.detecttrain.detector_train(ibs)

wbia.other.detecttrain.labeler_train(ibs, species_list=None, species_mapping=None, viewpoint_mapping=None, ensembles=3, **kwargs)

wbia.other.detecttrain.labeler_train_wbia_cnn(ibs, species_list=None, species_mapping=None, viewpoint_mapping=None, **kwargs)

wbia.other.detecttrain.localizer_lightnet_train(ibs, species_list, cuda_device='0', batches=60000, validate_with_accuracy=True, deploy_tag=None, cleanup=True, cleanup_all=True, deploy=True, cache_species_str=None, **kwargs)

wbia.other.detecttrain.localizer_yolo_train(ibs, species_list=None, **kwargs)

wbia.other.detecttrain.validate_model(cuda_str, python_exe, test_py_path, config_py_path, results_path, backup_path, validate_with_accuracy, deploy_path, deploy, deploy_tag, cleanup, cleanup_all, bin_path, cfg_path, data_path, weights_path, cache_species_str)

wbia.other.duct_tape module

wbia.other.duct_tape.enforce_unkonwn_name_is_explicit(ibs)

wbia.other.duct_tape.fix_compname_configs(ibs)

duct tape to keep version in check

wbia.other.duct_tape.fix_nulled_yaws(ibs)

wbia.other.duct_tape.remove_database_slag(ibs, delete_empty_names=False, delete_empty_imagesets=False, delete_annotations_for_missing_images=False, delete_image_labels_for_missing_types=False, delete_annot_labels_for_missing_types=False, delete_chips_for_missing_annotations=False, delete_features_for_missing_annotations=False, delete_invalid_eg_relations=False, delete_invalid_gl_relations=False, delete_invalid_al_relations=True)

wbia.other.ibsfuncs module

developer convenience functions for ibs

TODO: need to split up into sub modules:

consistency_checks feasibility_fixes move the export stuff to dbio

python -m utool.util_inspect check_module_usage –pat=”ibsfuncs.py”

then there are also convineience functions that need to be ordered at least within this file

wbia.other.ibsfuncs.add_next_imageset(ibs)

Adds a new imageset to the database

wbia.other.ibsfuncs.add_trivial_annotations(ibs, *args, **kwargs)

wbia.other.ibsfuncs.aidstr(aid, ibs=None, notes=False)

Helper to make a string from an aid

wbia.other.ibsfuncs.alias_common_coco_species(ibs, **kwargs)

wbia.other.ibsfuncs.annotstr(ibs, aid)

wbia.other.ibsfuncs.assert_images_are_unique(ibs, gid_list=None, verbose=True)

wbia.other.ibsfuncs.assert_images_exist(ibs, gid_list=None, verbose=True)

wbia.other.ibsfuncs.assert_lblannot_rowids_are_type(ibs, lblannot_rowid_list, valid_lbltype_rowid)

wbia.other.ibsfuncs.assert_singleton_relationship(ibs, alrids_list)

wbia.other.ibsfuncs.assert_valid_aids(ibs, aid_list, verbose=False, veryverbose=False, msg='', auuid_list=None)

Parameters

• ibs (IBEISController) – wbia controller object

• aid_list (int) – list of annotation ids

• verbose (bool) – verbosity flag(default = False)

• veryverbose (bool) – (default = False)

CommandLine:

python -m wbia.other.ibsfuncs –test-assert_valid_aids

Example

>>> # ENABLE_DOCTEST
>>> from wbia.other.ibsfuncs import *  # NOQA
>>> import wbia
>>> ibs = wbia.opendb(defaultdb='testdb1')
>>> aid_list = ibs.get_valid_aids()
>>> verbose = False
>>> veryverbose = False
>>> print('Asserting multiple')
>>> result = assert_valid_aids(ibs, aid_list, verbose, veryverbose)
>>> print('Asserting single')
>>> result = assert_valid_aids(ibs, aid_list[0:1], verbose, veryverbose)
>>> print('Asserting multiple incorrect')
>>> auuid_list = ibs.get_annot_uuids(aid_list) + [None]
>>> try:
>>>    result = assert_valid_aids(ibs, aid_list + [0], verbose, veryverbose, auuid_list=auuid_list)
>>> except AssertionError:
>>>    print('Correctly got assertion')
>>> else:
>>>    assert False, 'should have failed'
>>> print('Asserting single incorrect')
>>> try:
>>>    result = assert_valid_aids(ibs, [0], verbose, veryverbose)
>>> except AssertionError:
>>>    print('Correctly got assertion')
>>> else:
>>>    assert False, 'should have failed'
>>> print(result)
>>> print(result)

wbia.other.ibsfuncs.assert_valid_gids(ibs, gid_list, verbose=False, veryverbose=False)

wbia.other.ibsfuncs.assert_valid_names(name_list)

Asserts that user specified names do not conflict with the standard unknown name

wbia.other.ibsfuncs.assert_valid_species_texts(ibs, species_list, iswarning=True)

wbia.other.ibsfuncs.batch_rename_consecutive_via_species(ibs, imgsetid=None, location_text=None, notify_wildbook=True, assert_wildbook=True)

wbia.other.ibsfuncs.bytes2human(n, format='%(value).02f%(symbol)s', symbols='customary')

3. http://code.activestate.com/recipes/578019/

Convert n bytes into a human readable string based on format. symbols can be either “customary”, “customary_ext”, “iec” or “iec_ext”, see: https://en.wikipedia.org/wiki/Binary_prefix#Specific_units_of_IEC_60027-2_A.2_and_ISO.2FIEC_80000

>>> bytes2human(0)
'0.0 B'
>>> bytes2human(0.9)
'0.0 B'
>>> bytes2human(1)
'1.0 B'
>>> bytes2human(1.9)
'1.0 B'
>>> bytes2human(1024)
'1.0 K'
>>> bytes2human(1048576)
'1.0 M'
>>> bytes2human(1099511627776127398123789121)
'909.5 Y'

>>> bytes2human(9856, symbols="customary")
'9.6 K'
>>> bytes2human(9856, symbols="customary_ext")
'9.6 kilo'
>>> bytes2human(9856, symbols="iec")
'9.6 Ki'
>>> bytes2human(9856, symbols="iec_ext")
'9.6 kibi'

>>> bytes2human(10000, "%(value).1f %(symbol)s/sec")
'9.8 K/sec'

>>> # precision can be adjusted by playing with %f operator
>>> bytes2human(10000, format="%(value).5f %(symbol)s")
'9.76562 K'

wbia.other.ibsfuncs.check_annot_consistency(ibs, aid_list=None)

Parameters

• ibs (IBEISController) –

• aid_list (list) –

CommandLine:

python -m wbia.other.ibsfuncs –test-check_annot_consistency

Example

>>> # ENABLE_DOCTEST
>>> from wbia.other.ibsfuncs import *  # NOQA
>>> import wbia  # NOQA
>>> ibs = wbia.opendb('testdb1')
>>> aid_list = ibs.get_valid_aids()
>>> result = check_annot_consistency(ibs, aid_list)
>>> print(result)

wbia.other.ibsfuncs.check_annot_corrupt_uuids(ibs, aid_list=None)

>>> from wbia.other.ibsfuncs import *  # NOQA
>>> import wbia  # NOQA
>>> ibs = wbia.opendb('PZ_MTEST')
>>> aid_list = ibs.get_valid_aids()
>>> check_annot_corrupt_uuids(ibs, aid_list)

wbia.other.ibsfuncs.check_annot_overlap(ibs, gid_list=None, PIXELS=100.0, IOU=0.1)

wbia.other.ibsfuncs.check_annot_size(ibs)

wbia.other.ibsfuncs.check_annotmatch_consistency(ibs)

wbia.other.ibsfuncs.check_cache_purge(ibs, ttl_days=90, dryrun=True, squeeze=True)

Parameters

• ibs (IBEISController) – wbia controller object

• gid_list (list) – (default = None)

CommandLine:

python -m wbia.other.ibsfuncs –exec-check_cache_purge

Example

>>> # DISABLE_DOCTEST
>>> from wbia.other.ibsfuncs import *  # NOQA
>>> import wbia
>>> ibs = wbia.opendb(defaultdb='testdb1')
>>> result = check_cache_purge(ibs)
>>> print(result)

wbia.other.ibsfuncs.check_cache_purge_delete_worker(args)

wbia.other.ibsfuncs.check_cache_purge_exists_worker(args)

wbia.other.ibsfuncs.check_cache_purge_parallel_wrapper(func, arguments_list)

wbia.other.ibsfuncs.check_cache_purge_time_worker(args)

wbia.other.ibsfuncs.check_chip_existence(ibs, aid_list=None)

wbia.other.ibsfuncs.check_exif_data(ibs, gid_list)

TODO CALL SCRIPT

wbia.other.ibsfuncs.check_for_unregistered_images(ibs)

wbia.other.ibsfuncs.check_ggr_valid_aids(ibs, aid_list, species='zebra_grevys', threshold=0.75, enable_grid=True, verbose=True)

wbia.other.ibsfuncs.check_image_bit_depth(ibs, gid_list=None)

wbia.other.ibsfuncs.check_image_bit_depth_worker(gpath)

wbia.other.ibsfuncs.check_image_consistency(ibs, gid_list=None)

Parameters

• ibs (IBEISController) – wbia controller object

• gid_list (list) – (default = None)

CommandLine:

python -m wbia.other.ibsfuncs –exec-check_image_consistency –db=GZ_Master1

Example

>>> # ENABLE_DOCTEST
>>> from wbia.other.ibsfuncs import *  # NOQA
>>> import wbia
>>> ibs = wbia.opendb(defaultdb='testdb1')
>>> gid_list = None
>>> result = check_image_consistency(ibs, gid_list)
>>> print(result)

wbia.other.ibsfuncs.check_image_duplcates(ibs, gid_list=None)

wbia.other.ibsfuncs.check_image_loadable(ibs, gid_list=None)

wbia.other.ibsfuncs.check_image_loadable_worker(gpath, orient)

wbia.other.ibsfuncs.check_image_uuid_consistency(ibs, gid_list=None)

Checks to make sure image uuids are computed detemenistically by recomputing all guuids and checking that they are equal to what is already there.

VERY SLOW

CommandLine:

python -m wbia.other.ibsfuncs –test-check_image_uuid_consistency –db=PZ_Master0 python -m wbia.other.ibsfuncs –test-check_image_uuid_consistency –db=GZ_Master1 python -m wbia.other.ibsfuncs –test-check_image_uuid_consistency python -m wbia.other.ibsfuncs –test-check_image_uuid_consistency –db lynx

Example

>>> # SCRIPT
>>> import wbia
>>> import utool as ut
>>> ibs = wbia.opendb(defaultdb='PZ_MTEST')
>>> images = ibs.images()
>>> # Check only very the largest files
>>> #bytes_list_ = [
>>> #    ut.get_file_nBytes(path)
>>> #    for path in ut.ProgIter(images.paths, lbl='reading nbytes')]
>>> #sortx = ut.list_argsort(bytes_list_, reverse=True)[0:10]
>>> #images = images.take(sortx)
>>> gid_list = list(images)
>>> wbia.other.ibsfuncs.check_image_uuid_consistency(ibs, gid_list)

wbia.other.ibsfuncs.check_name_consistency(ibs, nid_list)

Parameters

• ibs (IBEISController) – wbia controller object

• nid_list (list) –

CommandLine:

python -m wbia.other.ibsfuncs –test-check_name_consistency

Example

>>> # ENABLE_DOCTEST
>>> from wbia.other.ibsfuncs import *  # NOQA
>>> import wbia
>>> ibs = wbia.opendb('testdb1')
>>> nid_list = ibs._get_all_known_nids()
>>> result = check_name_consistency(ibs, nid_list)
>>> print(result)

wbia.other.ibsfuncs.check_name_mapping_consistency(ibs, nx2_aids)

checks that all the aids grouped in a name ahave the same name

wbia.other.ibsfuncs.commit_ggr_fix_gps(ibs, **kwargs)

wbia.other.ibsfuncs.compare_nested_props(ibs, aids1_list, aids2_list, getter_func, cmp_func)

Compares properties of query vs database annotations

grouped_qaids = aids1_list grouped_groundtruth_list = aids2_list

getter_func = ibs.get_annot_yaws cmp_func = vt.ori_distance

getter_func = ibs.get_annot_image_unixtimes_asfloat cmp_func = ut.unixtime_hourdiff

ExpandNestedComparisions:

import itertools list(map(list, itertools.starmap(ut.iprod, zip(aids1_list, aids2_list))))

Parameters

• ibs (IBEISController) – wbia controller object

• aids1_list (list) –

• aids2_list (list) –

• getter_func –

• cmp_func –

Returns

Return type

list of ndarrays

CommandLine:

python -m wbia.other.ibsfuncs –exec-compare_nested_props –show

Example

>>> # DISABLE_DOCTEST
>>> from wbia.other.ibsfuncs import *  # NOQA
>>> import wbia
>>> ibs = wbia.opendb(defaultdb='PZ_MTEST')
>>> aids1_list = [ibs.get_valid_aids()[8:11]]
>>> aids2_list = [ibs.get_valid_aids()[8:11]]
>>> getter_func = ibs.get_annot_image_unixtimes_asfloat
>>> cmp_func = ut.unixtime_hourdiff
>>> result = compare_nested_props(ibs, aids1_list, aids2_list, getter_func, cmp_func)
>>> print(result)
>>> ut.quit_if_noshow()
>>> import wbia.plottool as pt
>>> ut.show_if_requested()

wbia.other.ibsfuncs.compute_all_chips(ibs, aid_list=None, **kwargs)

Executes lazy evaluation of all chips

wbia.other.ibsfuncs.compute_ggr_fix_gps_contributors_aids(ibs, min_diff=600, individual=False)

wbia.other.ibsfuncs.compute_ggr_fix_gps_contributors_gids(ibs, min_diff=600, individual=False)

wbia.other.ibsfuncs.compute_ggr_fix_gps_names(ibs, min_diff=1800)

wbia.other.ibsfuncs.compute_ggr_imagesets(ibs, gid_list=None, min_diff=86400, individual=False, purge_all_old=False)

wbia.other.ibsfuncs.compute_ggr_path_dict(ibs)

wbia.other.ibsfuncs.compute_occurrences(ibs, config=None)

Clusters ungrouped images into imagesets representing occurrences

CommandLine:

python -m wbia.control.IBEISControl –test-compute_occurrences

Example

>>> # ENABLE_DOCTEST
>>> from wbia.control.IBEISControl import *  # NOQA
>>> import wbia  # NOQA
>>> ibs = wbia.opendb('testdb1')
>>> ibs.compute_occurrences(config={'use_gps': False, 'seconds_thresh': 600})
>>> ibs.update_special_imagesets()
>>> # Remove some images from a non-special imageset
>>> nonspecial_imgsetids = [i for i in ibs.get_valid_imgsetids() if i not in ibs.get_special_imgsetids()]
>>> images_to_remove = ibs.get_imageset_gids(nonspecial_imgsetids[0:1])[0][0:1]
>>> ibs.unrelate_images_and_imagesets(images_to_remove,nonspecial_imgsetids[0:1] * len(images_to_remove))
>>> ibs.update_special_imagesets()
>>> ungr_imgsetid = ibs.get_imageset_imgsetids_from_text(const.UNGROUPED_IMAGES_IMAGESETTEXT)
>>> ungr_gids = ibs.get_imageset_gids([ungr_imgsetid])[0]
>>> #Now let's make sure that when we recompute imagesets, our non-special imgsetid remains the same
>>> print('PRE COMPUTE: ImageSets are %r' % ibs.get_valid_imgsetids())
>>> print('Containing: %r' % ibs.get_imageset_gids(ibs.get_valid_imgsetids()))
>>> ibs.compute_occurrences(config={'use_gps': False, 'seconds_thresh': 600})
>>> print('COMPUTE: New imagesets are %r' % ibs.get_valid_imgsetids())
>>> print('Containing: %r' % ibs.get_imageset_gids(ibs.get_valid_imgsetids()))
>>> ibs.update_special_imagesets()
>>> print('UPDATE SPECIAL: New imagesets are %r' % ibs.get_valid_imgsetids())
>>> print('Containing: %r' % ibs.get_imageset_gids(ibs.get_valid_imgsetids()))
>>> assert(images_to_remove[0] not in ibs.get_imageset_gids(nonspecial_imgsetids[0:1])[0])

wbia.other.ibsfuncs.compute_occurrences_smart(ibs, gid_list, smart_xml_fpath)

Function to load and process a SMART patrol XML file

wbia.other.ibsfuncs.convert_empty_images_to_annotations(ibs)

images without chips are given an ANNOTATION over the entire image

wbia.other.ibsfuncs.copy_imagesets(ibs, imgsetid_list)

Parameters

• ibs (IBEISController) – wbia controller object

• imgsetid_list (list) –

Returns

new_imgsetid_list

Return type

list

CommandLine:

python -m wbia.other.ibsfuncs –test-copy_imagesets

Example

>>> # ENABLE_DOCTEST
>>> from wbia.other.ibsfuncs import *  # NOQA
>>> import wbia
>>> ibs = wbia.opendb('testdb1')
>>> ibs.delete_all_imagesets()
>>> ibs.compute_occurrences(config={'use_gps': False, 'seconds_thresh': 600})
>>> imgsetid_list = ibs.get_valid_imgsetids()
>>> new_imgsetid_list = copy_imagesets(ibs, imgsetid_list)
>>> result = str(ibs.get_imageset_text(new_imgsetid_list))
>>> assert [2] == list(set(map(len, ibs.get_image_imgsetids(ibs.get_valid_gids()))))
>>> print(result)
>>> ibs.delete_all_imagesets()
>>> ibs.compute_occurrences(config={'use_gps': False, 'seconds_thresh': 600})

wbia.other.ibsfuncs.create_ggr_match_leaves_recursive(ibs, tag, imageset_rowid_list, k, level=0, index=0)

wbia.other.ibsfuncs.create_ggr_match_trees(ibs)

CommandLine:

python -m wbia.other.ibsfuncs create_ggr_match_trees

Example

>>> # DISABLE_DOCTEST
>>> from wbia.other.ibsfuncs import *  # NOQA
>>> from os.path import expanduser
>>> import wbia  # NOQA
>>> default_dbdir = join('/', 'data', 'wbia', 'GGR2-IBEIS')
>>> # default_dbdir = expanduser(join('~', 'data', 'GGR2-IBEIS'))
>>> dbdir = ut.get_argval('--dbdir', type_=str, default=default_dbdir)
>>> ibs = wbia.opendb(dbdir=dbdir)
>>> imageset_rowid_list = ibs.create_ggr_match_trees()

wbia.other.ibsfuncs.create_new_imageset_from_images(ibs, gid_list, new_imgsetid=None)

Parameters

gid_list (list) –

CommandLine:

python -m wbia.other.ibsfuncs –test-create_new_imageset_from_images

Example

>>> # DISABLE_DOCTEST
>>> from wbia.other.ibsfuncs import *  # NOQA
>>> import wbia
>>> ibs = wbia.opendb('testdb1')
>>> gid_list = ibs.get_valid_gids()[::2]
>>> new_imgsetid = create_new_imageset_from_images(ibs, gid_list)
>>> result = new_imgsetid
>>> print(result)

wbia.other.ibsfuncs.create_new_imageset_from_names(ibs, nid_list)

Parameters

nid_list (list) –

CommandLine:

python -m wbia.other.ibsfuncs –test-create_new_imageset_from_names

Example

>>> # ENABLE_DOCTEST
>>> from wbia.other.ibsfuncs import *  # NOQA
>>> import wbia
>>> ibs = wbia.opendb('testdb1')
>>> nid_list = ibs._get_all_known_nids()[0:2]
>>> new_imgsetid = ibs.create_new_imageset_from_names(nid_list)
>>> # clean up
>>> ibs.delete_imagesets(new_imgsetid)
>>> result = new_imgsetid
>>> print(result)

wbia.other.ibsfuncs.dans_lists(ibs, positives=10, negatives=10, verbose=False)

wbia.other.ibsfuncs.delete_all_annotations(ibs)

Carefull with this function. Annotations are not recomputable

wbia.other.ibsfuncs.delete_all_chips(ibs)

wbia.other.ibsfuncs.delete_all_features(ibs)

wbia.other.ibsfuncs.delete_all_imagesets(ibs)

wbia.other.ibsfuncs.delete_all_recomputable_data(ibs)

Delete all cached data including chips and imagesets

wbia.other.ibsfuncs.delete_cache(ibs, delete_imagesets=False)

Deletes the cache directory in the database directory. Can specify to delete encoutners as well.

CommandLine:

python -m wbia delete_cache –db testdb1

Example

>>> # SCRIPT
>>> import wbia
>>> ibs = wbia.opendb()
>>> result = ibs.delete_cache()

wbia.other.ibsfuncs.delete_cachedir(ibs)

Deletes the cache directory in the database directory.

CommandLine:

python -m wbia.other.ibsfuncs delete_cachedir python -m wbia delete_cachedir –db testdb1

Example

>>> # SCRIPT
>>> import wbia
>>> ibs = wbia.opendb()
>>> result = ibs.delete_cachedir()

wbia.other.ibsfuncs.delete_flann_cachedir(ibs)

wbia.other.ibsfuncs.delete_neighbor_cache(ibs)

wbia.other.ibsfuncs.delete_qres_cache(ibs)

Parameters

ibs (IBEISController) – wbia controller object

CommandLine:

python -m wbia –tf delete_qres_cache python -m wbia –tf delete_qres_cache –db PZ_MTEST python -m wbia –tf delete_qres_cache –db PZ_Master1

Example

>>> # SCRIPT
>>> from wbia.other.ibsfuncs import *  # NOQA
>>> import wbia
>>> ibs = wbia.opendb(defaultdb='testdb1')
>>> result = delete_qres_cache(ibs)
>>> print(result)

wbia.other.ibsfuncs.delete_thumbnails(ibs)

wbia.other.ibsfuncs.delete_unregistered_images(ibs, verbose=True)

wbia.other.ibsfuncs.delete_wbia_database(dbdir)

wbia.other.ibsfuncs.ensure_annotation_data(ibs, aid_list, chips=True, feats=True, featweights=False)

wbia.other.ibsfuncs.ensure_unix_gpaths(gpath_list)

Asserts that all paths are given with forward slashes. If not it fixes them

wbia.other.ibsfuncs.export_ggr_folders(ibs, output_path=None)

wbia.other.ibsfuncs.export_to_hotspotter(ibs)

wbia.other.ibsfuncs.filter_aids_count(ibs, aid_list=None, pre_unixtime_sort=True)

wbia.other.ibsfuncs.filter_aids_to_quality(ibs, aid_list, minqual, unknown_ok=True, speedhack=True)

DEPRICATE

>>> import wbia
>>> from wbia.other.ibsfuncs import *  # NOQA
>>> ibs = wbia.opendb(defaultdb='PZ_Master1')
>>> aid_list = ibs.get_valid_aids()
>>> minqual = 'good'
>>> x1 = filter_aids_to_quality(ibs, aid_list, 'good', True, speedhack=True)
>>> x2 = filter_aids_to_quality(ibs, aid_list, 'good', True, speedhack=False)

wbia.other.ibsfuncs.filter_aids_to_species(ibs, aid_list, species, speedhack=True)

Parameters

• ibs (IBEISController) – wbia controller object

• aid_list (int) – list of annotation ids

• species –

Returns

aid_list_

Return type

list

CommandLine:

python -m wbia.other.ibsfuncs –exec-filter_aids_to_species

Example

>>> # ENABLE_DOCTEST
>>> from wbia.other.ibsfuncs import *  # NOQA
>>> import wbia
>>> ibs = wbia.opendb(defaultdb='testdb1')
>>> aid_list = ibs.get_valid_aids()
>>> species = wbia.const.TEST_SPECIES.ZEB_GREVY
>>> aid_list_ = filter_aids_to_species(ibs, aid_list, species)
>>> result = 'aid_list_ = %r' % (aid_list_,)
>>> print(result)
aid_list_ = [9, 10]

wbia.other.ibsfuncs.filter_aids_to_viewpoint(ibs, aid_list, valid_yaws, unknown_ok=True)

Removes aids that do not have a valid yaw

TODO: rename to valid_viewpoint because this func uses category labels

valid_yaws = [‘primary’, ‘primary1’, ‘primary-1’]

wbia.other.ibsfuncs.filter_aids_without_name(ibs, aid_list, invert=False, speedhack=True)

Remove aids without names

Example

>>> # ENABLE_DOCTEST
>>> import wbia
>>> from wbia.other.ibsfuncs import *  # NOQA
>>> ibs = wbia.opendb(defaultdb='testdb1')
>>> aid_list = ibs.get_valid_aids()
>>> annots = ibs.annots(aid_list)
>>> aid_list1_ = ibs.filter_aids_without_name(aid_list)
>>> aid_list2_ = ibs.filter_aids_without_name(aid_list, invert=True)
>>> annots1_ = ibs.annots(aid_list1_)
>>> annots2_ = ibs.annots(aid_list2_)
>>> assert len(annots1_) + len(annots2_) == len(annots)
>>> assert np.all(np.array(annots1_.nids) > 0)
>>> assert len(annots1_) == 9
>>> assert np.all(np.array(annots2_.nids) < 0)
>>> assert len(annots2_) == 4

wbia.other.ibsfuncs.filter_aids_without_timestamps(ibs, aid_list, invert=False)

Removes aids without timestamps aid_list = ibs.get_valid_aids()

wbia.other.ibsfuncs.filter_annots_using_minimum_timedelta(ibs, aid_list, min_timedelta)

Uses a dynamic program to find the maximum number of annotations that are above the minimum timedelta requirement.

Parameters

• ibs (IBEISController) – wbia controller object

• aid_list –

• min_timedelta –

CommandLine:

python -m wbia.other.ibsfuncs –exec-filter_annots_using_minimum_timedelta python -m wbia.other.ibsfuncs –exec-filter_annots_using_minimum_timedelta –db PZ_Master1

Example

>>> # ENABLE_DOCTEST
>>> from wbia.other.ibsfuncs import *  # NOQA
>>> import wbia
>>> ibs = wbia.opendb(defaultdb='PZ_MTEST')
>>> aid_list = ibs.get_valid_aids()
>>> aid_list = ibs.filter_aids_without_timestamps(aid_list)
>>> print('Before')
>>> ibs.print_annot_stats(aid_list, min_name_hourdist=True)
>>> min_timedelta = 60 * 60 * 24
>>> filtered_aids = filter_annots_using_minimum_timedelta(ibs, aid_list, min_timedelta)
>>> print('After')
>>> ibs.print_annot_stats(filtered_aids, min_name_hourdist=True)
>>> ut.quit_if_noshow()
>>> wbia.other.dbinfo.hackshow_names(ibs, aid_list)
>>> wbia.other.dbinfo.hackshow_names(ibs, filtered_aids)
>>> ut.show_if_requested()

wbia.other.ibsfuncs.filter_junk_annotations(ibs, aid_list)

remove junk annotations from a list

Parameters

• ibs (IBEISController) – wbia controller object

• aid_list (int) – list of annotation ids

Returns

filtered_aid_list

Return type

list

Example

>>> # ENABLE_DOCTEST
>>> from wbia.other.ibsfuncs import *  # NOQA
>>> import wbia
>>> ibs = wbia.opendb('testdb1')
>>> aid_list = ibs.get_valid_aids()
>>> filtered_aid_list = filter_junk_annotations(ibs, aid_list)
>>> result = str(filtered_aid_list)
>>> print(result)

wbia.other.ibsfuncs.find_unlabeled_name_members(ibs, **kwargs)

Find annots where some members of a name have information but others do not.

Parameters

ibs (IBEISController) – wbia controller object

CommandLine:

python -m wbia.other.ibsfuncs –exec-find_unlabeled_name_members –qual

Example

>>> # SCRIPT
>>> from wbia.other.ibsfuncs import *  # NOQA
>>> import wbia
>>> ibs = wbia.opendb(defaultdb='PZ_Master1')
>>> defaultdict = dict(ut.parse_func_kwarg_keys(find_unlabeled_name_members, with_vals=True))
>>> kwargs = ut.argparse_dict(defaultdict)
>>> result = find_unlabeled_name_members(ibs, **kwargs)
>>> print(result)

wbia.other.ibsfuncs.fix_and_clean_database(ibs)

Function to run all database cleanup scripts

Rename to run_cleanup_scripts

Break into two funcs:

run_cleanup_scripts run_fixit_scripts

CONSITENCY CHECKS TODO:

• check that annotmatches marked as False do not have the same name for similar viewpoints.

• check that photobombs are have different names

• warn if scenery matches have the same name

wbia.other.ibsfuncs.fix_coco_species(ibs, **kwargs)

wbia.other.ibsfuncs.fix_exif_data(ibs, gid_list)

TODO CALL SCRIPT

Parameters

• ibs (IBEISController) – wbia controller object

• gid_list (list) – list of image ids

CommandLine:

python -m wbia.other.ibsfuncs –exec-fix_exif_data

Example

>>> # DISABLE_DOCTEST
>>> from wbia.other.ibsfuncs import *  # NOQA
>>> import wbia
>>> ibs = wbia.opendb(defaultdb='lynx')
>>> gid_list = ibs.get_valid_gids()
>>> result = fix_exif_data(ibs, gid_list)
>>> print(result)

wbia.other.ibsfuncs.fix_ggr_qr_codes(ibs, imageset_qr_dict)

wbia.other.ibsfuncs.fix_invalid_annotmatches(ibs)

wbia.other.ibsfuncs.fix_invalid_name_texts(ibs)

Ensure that no name text is empty or ‘____’

Parameters

ibs (IBEISController) – wbia controller object

CommandLine:

python -m wbia.other.ibsfuncs –test-fix_invalid_names

Example

>>> # ENABLE_DOCTEST
>>> from wbia.other.ibsfuncs import *  # NOQA
>>> import wbia  # NOQA
>>> ibs = wbia.opendb('testdb1')
>>> result = fix_invalid_name_texts(ibs)
>>> print(result)

ibs.set_name_texts(nid_list[3], ‘____’) ibs.set_name_texts(nid_list[2], ‘’)

wbia.other.ibsfuncs.fix_invalid_nids(ibs)

Make sure that all rowids are greater than 0

We can only handle there being a name with rowid 0 if it is UNKNOWN. In this case we safely delete it, but anything more complicated needs to be handled anually

Parameters

ibs (IBEISController) – wbia controller object

CommandLine:

python -m wbia.other.ibsfuncs –test-fix_invalid_nids

Example

>>> # ENABLE_DOCTEST
>>> from wbia.other.ibsfuncs import *  # NOQA
>>> import wbia  # NOQA
>>> ibs = wbia.opendb('testdb1')
>>> result = fix_invalid_nids(ibs)
>>> print(result)

wbia.other.ibsfuncs.fix_remove_visual_dupliate_annotations(ibs)

depricate because duplicate visual_uuids are no longer allowed to be duplicates

Add to clean database?

removes visually duplicate annotations

Parameters

ibs (IBEISController) –

Example

>>> # DISABLE_DOCTEST
>>> from wbia.other.ibsfuncs import *  # NOQA
>>> import wbia  # NOQA
>>> ibs = wbia.opendb('GZ_ALL')
>>> fix_remove_visual_dupliate_annotations(ibs)

wbia.other.ibsfuncs.fix_unknown_exemplars(ibs)

Goes through all of the annotations, and sets their exemplar flag to 0 if it is associated with an unknown annotation

wbia.other.ibsfuncs.fix_zero_features(ibs)

wbia.other.ibsfuncs.flag_aids_count(ibs, aid_list)

Parameters

• ibs (IBEISController) – wbia controller object

• aid_list (int) – list of annotation ids

• pre_unixtime_sort (bool) –

Returns

Return type

list

CommandLine:

python -m wbia.other.ibsfuncs –test-flag_aids_count

Example

>>> # ENABLE_DOCTEST
>>> from wbia.other.ibsfuncs import *  # NOQA
>>> import wbia
>>> ibs = wbia.opendb('testdb1')
>>> aid_list = ibs.get_valid_aids()
>>> gzc_flag_list = flag_aids_count(ibs, aid_list)
>>> result = gzc_flag_list
>>> print(result)
[False, True, False, False, True, False, True, True, False, True, False, True, True]

wbia.other.ibsfuncs.get_aids_with_groundtruth(ibs)

returns aids with valid groundtruth

wbia.other.ibsfuncs.get_annot_bbox_area(ibs, aid_list)

wbia.other.ibsfuncs.get_annot_been_adjusted(ibs, aid_list)

Returns if a bounding box has been adjusted from defaults set in use_images_as_annotations Very hacky very heurstic.

wbia.other.ibsfuncs.get_annot_encounter_text(ibs, aids)

Encounter identifier for annotations

wbia.other.ibsfuncs.get_annot_fgweights_subset(ibs, aid_list, fxs_list, config2_=None)

wbia.other.ibsfuncs.get_annot_info(ibs, aid_list, default=False, reference_aid=None, **kwargs)

Parameters

• ibs (wbia.IBEISController) – wbia controller object

• aid_list (list) – list of annotation rowids

• default (bool) – (default = False)

Returns

infodict_list

Return type

list

CommandLine:

python -m wbia.other.ibsfuncs –exec-get_annot_info –tb

Example

>>> # ENABLE_DOCTEST
>>> from wbia.other.ibsfuncs import *  # NOQA
>>> import wbia
>>> ibs = wbia.opendb(defaultdb='testdb1')
>>> aid_list = ibs.get_valid_aids()[0:2]
>>> default = True
>>> infodict_list = ibs.get_annot_info(1, default)
>>> result = ('infodict_list = %s' % (ut.repr2(infodict_list, nl=4),))
>>> print(result)

wbia.other.ibsfuncs.get_annot_instancelist(ibs, aid_list)

wbia.other.ibsfuncs.get_annot_intermediate_viewpoint_stats(ibs, aids, size=2)

>>> from wbia.other.ibsfuncs import *  # NOQA
>>> aids = available_aids

wbia.other.ibsfuncs.get_annot_lazy_dict(ibs, aid, config2_=None)

Parameters

• ibs (wbia.IBEISController) – image analysis api

• aid (int) – annotation id

• config2 (dict) – (default = None)

Returns

metadata

Return type

ut.LazyDict

CommandLine:

python -m wbia.other.ibsfuncs –exec-get_annot_lazy_dict –show

Example

>>> # ENABLE_DOCTEST
>>> from wbia.other.ibsfuncs import *  # NOQA
>>> import wbia
>>> ibs = wbia.opendb(defaultdb='testdb1')
>>> aid = 1
>>> config2_ = None
>>> metadata = get_annot_lazy_dict(ibs, aid, config2_)
>>> result = ('metadata = %s' % (ut.repr3(metadata),))
>>> print(result)

wbia.other.ibsfuncs.get_annot_lazy_dict2(ibs, aid, config=None)

DEPRICATE FOR ibs.annots

Parameters

• ibs (wbia.IBEISController) – image analysis api

• aid (int) – annotation id

• config (dict) – (default = None)

Returns

metadata

Return type

ut.LazyDict

CommandLine:

python -m wbia.other.ibsfuncs –exec-get_annot_lazy_dict2 –show

Example

>>> # ENABLE_DOCTEST
>>> from wbia.other.ibsfuncs import *  # NOQA
>>> import wbia
>>> ibs = wbia.opendb(defaultdb='testdb1')
>>> aid = 1
>>> config = {'dim_size': 450}
>>> metadata = get_annot_lazy_dict2(ibs, aid, config)
>>> result = ('metadata = %s' % (ut.repr3(metadata),))
>>> print(result)

wbia.other.ibsfuncs.get_annot_occurrence_text(ibs, aids)

Occurrence identifier for annotations

Parameters

• ibs (wbia.IBEISController) – image analysis api

• aids (list) – list of annotation rowids

Returns

occur_texts

Return type

list

CommandLine:

python -m wbia.other.ibsfuncs get_annot_occurrence_text –show

Example

>>> # ENABLE_DOCTEST
>>> from wbia.other.ibsfuncs import *  # NOQA
>>> import wbia
>>> ibs = wbia.opendb(defaultdb='testdb1')
>>> aids = ibs.get_valid_aids()
>>> occur_texts = get_annot_occurrence_text(ibs, aids)
>>> result = ('occur_texts = %s' % (ut.repr2(occur_texts),))
>>> print(result)

wbia.other.ibsfuncs.get_annot_pair_lazy_dict(ibs, qaid, daid, qconfig2_=None, dconfig2_=None)

Parameters

• ibs (IBEISController) – wbia controller object

• qaid (int) – query annotation id

• daid –

• qconfig2 (dict) – (default = None)

• dconfig2 (dict) – (default = None)

CommandLine:

python -m wbia.other.ibsfuncs –exec-get_annot_pair_lazy_dict

Example

>>> # DISABLE_DOCTEST
>>> from wbia.other.ibsfuncs import *  # NOQA
>>> import wbia
>>> ibs = wbia.opendb(defaultdb='testdb1')
>>> qaid, daid = ibs.get_valid_aids()[0:2]
>>> qconfig2_ = None
>>> dconfig2_ = None
>>> result = get_annot_pair_lazy_dict(ibs, qaid, daid, qconfig2_, dconfig2_)
>>> print(result)

wbia.other.ibsfuncs.get_annot_primary_imageset(ibs, aid_list=None)

wbia.other.ibsfuncs.get_annot_quality_viewpoint_subset(ibs, aid_list=None, annots_per_view=2, max_annots=None, verbose=False, prog_hook=None, allow_unknown=False)

CommandLine:

python -m wbia.other.ibsfuncs –exec-get_annot_quality_viewpoint_subset –show

Example

>>> # ENABLE_DOCTEST
>>> from wbia.other.ibsfuncs import *  # NOQA
>>> import wbia
>>> ut.exec_funckw(get_annot_quality_viewpoint_subset, globals())
>>> ibs = wbia.opendb('testdb2')
>>> new_flag_list = get_annot_quality_viewpoint_subset(ibs)
>>> result = sum(new_flag_list)
>>> print(result)
38

Example

>>> # ENABLE_DOCTEST
>>> from wbia.other.ibsfuncs import *  # NOQA
>>> import wbia
>>> ut.exec_funckw(get_annot_quality_viewpoint_subset, globals())
>>> ibs = wbia.opendb('testdb1')
>>> aid_list = [1]
>>> new_flag_list = get_annot_quality_viewpoint_subset(ibs, aid_list, allow_unknown=True)
>>> result = sum(new_flag_list)
>>> print(result)
1

wbia.other.ibsfuncs.get_annot_stats_dict(ibs, aids, prefix='', forceall=False, old=True, use_hist=False, **kwargs)

stats for a set of annots

Parameters

• ibs (wbia.IBEISController) – wbia controller object

• aids (list) – list of annotation rowids

• prefix (str) – (default = ‘’)

Kwargs:

hashid, per_name, per_qual, per_vp, per_name_vpedge, per_image, min_name_hourdist

Returns

aid_stats_dict

Return type

dict

CommandLine:

python -m wbia get_annot_stats_dict –db WWF_Lynx –all python -m wbia get_annot_stats_dict –db EWT_Cheetahs –all python -m wbia get_annot_stats_dict –db PZ_PB_RF_TRAIN –all python -m wbia get_annot_stats_dict –db PZ_Master1 –all

python -m wbia.other.ibsfuncs –exec-get_annot_stats_dict python -m wbia.other.ibsfuncs –exec-get_annot_stats_dict –db PZ_PB_RF_TRAIN –use-hist=True –old=False –per_name_vpedge=False python -m wbia.other.ibsfuncs –exec-get_annot_stats_dict –db PZ_PB_RF_TRAIN –use-hist=False –old=False –per_name_vpedge=False

python -m wbia.other.ibsfuncs –exec-get_annot_stats_dict –db PZ_MTEST –use-hist –per_name_vpedge=False python -m wbia.other.ibsfuncs –exec-get_annot_stats_dict –db PZ_MTEST –use-hist –per_name_vpedge=False

python -m wbia.other.ibsfuncs –exec-get_annot_stats_dict –db PZ_Master1 –per_name_vpedge=True python -m wbia.other.ibsfuncs –exec-get_annot_stats_dict –db PZ_Master1 –min_name_hourdist=True python -m wbia.other.ibsfuncs –exec-get_annot_stats_dict –db GZ_ALL –min_name_hourdist=True –all python -m wbia.other.ibsfuncs –exec-get_annot_stats_dict –db GZ_Master1 –all python -m wbia.other.ibsfuncs –exec-get_annot_stats_dict –db PZ_Master1 –min_name_hourdist=True –all python -m wbia.other.ibsfuncs –exec-get_annot_stats_dict –db NNP_MasterGIRM_core –min_name_hourdist=True –all

Example

>>> # ENABLE_DOCTEST
>>> from wbia.other.ibsfuncs import *  # NOQA
>>> import wbia
>>> ibs = wbia.opendb(defaultdb='testdb1')
>>> aids = ibs.annots().aids
>>> stats = ibs.get_annot_stats_dict(aids)
>>> import ubelt as ub
>>> print('annot_stats = {}'.format(ub.repr2(stats, nl=1)))

Example

>>> # ENABLE_DOCTEST
>>> from wbia.other.ibsfuncs import *  # NOQA
>>> import wbia
>>> ibs = wbia.opendb(defaultdb='testdb1')
>>> aids = wbia.testdata_aids(ibs=ibs)
>>> prefix = ''
>>> kwkeys = ut.parse_func_kwarg_keys(get_annot_stats_dict)
>>> #default = True if ut.get_argflag('--all') else None
>>> default = None if ut.get_argflag('--notall') else True
>>> kwargs = ut.argparse_dict(dict(zip(kwkeys, [default] * len(kwkeys))))
>>> #ut.argparse_funckw(ibs.get_annot_stats_dict)
>>> print('kwargs = %r' % (kwargs,))
>>> old = ut.get_argval('--old', default=True)
>>> use_hist = ut.get_argval('--use_hist', default=True)
>>> aid_stats_dict = get_annot_stats_dict(ibs, aids, prefix, use_hist=use_hist, old=old, **kwargs)
>>> result = ('aid_stats_dict = %s' % (ub.repr2(aid_stats_dict, strkeys=True, strvals=True, nl=2, precision=2),))
>>> print(result)

wbia.other.ibsfuncs.get_annot_vecs_subset(ibs, aid_list, fxs_list, config2_=None)

wbia.other.ibsfuncs.get_annotconfig_stats(ibs, qaids, daids, verbose=False, combined=False, combo_gt_info=True, combo_enc_info=False, combo_dists=True, split_matchable_data=True, **kwargs)

Gets statistics about a query / database set of annotations

USEFUL DEVELOPER FUNCTION

TODO: this function should return non-string values in dictionaries. The print function should do string conversions

Parameters

• ibs (IBEISController) – wbia controller object

• qaids (list) – query annotation ids

• daids (list) – database annotation ids

SeeAlso:

wbia.dbinfo.print_qd_info ibs.get_annot_stats_dict ibs.print_annotconfig_stats(qaid_list, daid_list)

CommandLine:

python -m wbia.other.ibsfuncs get_annotconfig_stats –db PZ_MTEST -a default python -m wbia.other.ibsfuncs get_annotconfig_stats –db testdb1 -a default python -m wbia.other.ibsfuncs get_annotconfig_stats –db PZ_MTEST -a controlled python -m wbia.other.ibsfuncs get_annotconfig_stats –db PZ_FlankHack -a default:qaids=allgt python -m wbia.other.ibsfuncs get_annotconfig_stats –db PZ_MTEST -a controlled:per_name=2,min_gt=4

Example

>>> # ENABLE_DOCTEST
>>> from wbia.other.ibsfuncs import *  # NOQA
>>> from wbia.init import main_helpers
>>> kwargs = {'per_enc': True, 'enc_per_name': True}
>>> ibs, qaids, daids = main_helpers.testdata_expanded_aids(
...    defaultdb='testdb1', a='default:qsize=3')
>>> stat_dict = get_annotconfig_stats(ibs, qaids, daids, **kwargs)
>>> stats_str2 = ut.repr2(stat_dict, si=True, nl=True, nobr=False)
>>> print(stats_str2)

wbia.other.ibsfuncs.get_annotpair_speeds(ibs, aid_pairs, unique_aids=None)

wbia.other.ibsfuncs.get_annots_per_name_stats(ibs, aid_list, **kwargs)

wbia.other.ibsfuncs.get_consecutive_newname_list_via_species(ibs, imgsetid=None, location_text=None, wildbook_existing_name_list=[])

Just creates the nams, but does not set them

Parameters

ibs (IBEISController) – wbia controller object

CommandLine:

python -m wbia.other.ibsfuncs –test-get_consecutive_newname_list_via_species

Example

>>> # ENABLE_DOCTEST
>>> from wbia.other.ibsfuncs import *  # NOQA
>>> import wbia
>>> ibs = wbia.opendb('testdb1')
>>> ibs._clean_species()
>>> imgsetid = None
>>> new_nid_list, new_name_list = get_consecutive_newname_list_via_species(ibs, imgsetid=imgsetid)
>>> result = ut.repr2((new_nid_list, new_name_list), nl=1)
>>> print(result)
(
    [1, 2, 3, 4, 5, 6, 7],
    ['IBEIS_PZ_0001', 'IBEIS_PZ_0002', 'IBEIS_UNKNOWN_0001', 'IBEIS_UNKNOWN_0002', 'IBEIS_GZ_0001', 'IBEIS_PB_0001', 'IBEIS_UNKNOWN_0003'],
)

Example

>>> # ENABLE_DOCTEST
>>> from wbia.other.ibsfuncs import *  # NOQA
>>> import wbia
>>> ibs = wbia.opendb('testdb1')
>>> ibs._clean_species()
>>> ibs.delete_all_imagesets()
>>> ibs.compute_occurrences(config={'use_gps': False, 'seconds_thresh': 600})
>>> imgsetid = ibs.get_valid_imgsetids()[1]
>>> new_nid_list, new_name_list = get_consecutive_newname_list_via_species(ibs, imgsetid=imgsetid)
>>> result = ut.repr2((new_nid_list, new_name_list), nl=1)
>>> print(result)
(
    [4, 5, 6, 7],
    ['IBEIS_UNKNOWN_Occurrence_1_0001', 'IBEIS_GZ_Occurrence_1_0001', 'IBEIS_PB_Occurrence_1_0001', 'IBEIS_UNKNOWN_Occurrence_1_0002'],
)

wbia.other.ibsfuncs.get_database_species(ibs, aid_list=None)

CommandLine:

python -m wbia.other.ibsfuncs –test-get_database_species

Example

>>> # ENABLE_DOCTEST
>>> from wbia.other.ibsfuncs import *  # NOQA
>>> import wbia  # NOQA
>>> ibs = wbia.opendb('testdb1')
>>> result = ut.repr2(ibs.get_database_species(), nl=False)
>>> print(result)
['____', 'bear_polar', 'zebra_grevys', 'zebra_plains']

Example

>>> # ENABLE_DOCTEST
>>> from wbia.other.ibsfuncs import *  # NOQA
>>> import wbia  # NOQA
>>> ibs = wbia.opendb('PZ_MTEST')
>>> result = ut.repr2(ibs.get_database_species(), nl=False)
>>> print(result)
['zebra_plains']

wbia.other.ibsfuncs.get_database_species_count(ibs, aid_list=None, BATCH_SIZE=25000)

CommandLine:

python -m wbia.other.ibsfuncs –test-get_database_species_count

Example

>>> # ENABLE_DOCTEST
>>> from wbia.other.ibsfuncs import *  # NOQA
>>> import wbia  # NOQA
>>> #print(ut.repr2(wbia.opendb('PZ_Master0').get_database_species_count()))
>>> ibs = wbia.opendb('testdb1')
>>> result = ut.repr2(ibs.get_database_species_count(BATCH_SIZE=2), nl=False)
>>> print(result)
{'zebra_plains': 6, '____': 3, 'zebra_grevys': 2, 'bear_polar': 2}

wbia.other.ibsfuncs.get_dbinfo_str(ibs)

wbia.other.ibsfuncs.get_dbname_alias(ibs)

convinience for plots

wbia.other.ibsfuncs.get_dir_size(start_path='.')

REF: https://stackoverflow.com/a/34580363

wbia.other.ibsfuncs.get_dominant_species(ibs, aid_list)

Parameters

aid_list (int) – list of annotation ids

CommandLine:

python -m wbia.other.ibsfuncs –test-get_dominant_species

Example

>>> # ENABLE_DOCTEST
>>> from wbia.other.ibsfuncs import *  # NOQA
>>> import wbia
>>> ibs = wbia.opendb('testdb1')
>>> aid_list = ibs.get_valid_aids()
>>> result = get_dominant_species(ibs, aid_list)
>>> print(result)
zebra_plains

wbia.other.ibsfuncs.get_extended_viewpoints(base_yaw_text, towards='front', num1=0, num2=None, include_base=True)

Given a viewpoint returns the acceptable viewpoints around it

Example

>>> # ENABLE_DOCTEST
>>> from wbia.other.ibsfuncs import *  # NOQA
>>> yaw_text_list = ['left', 'right', 'back', 'front']
>>> towards = 'front'
>>> num1 = 1
>>> num2 = 0
>>> include_base = False
>>> extended_yaws_list = [get_extended_viewpoints(base_yaw_text, towards, num1, num2, include_base)
>>>                       for base_yaw_text in yaw_text_list]
>>> result = ('extended_yaws_list = %s' % (ut.repr2(extended_yaws_list),))
>>> print(result)
extended_yaws_list = [['frontleft'], ['frontright'], ['backleft'], ['frontleft']]

wbia.other.ibsfuncs.get_image_annotation_bboxes(ibs, gid_list)

wbia.other.ibsfuncs.get_image_annotation_thetas(ibs, gid_list)

wbia.other.ibsfuncs.get_image_instancelist(ibs, gid_list)

wbia.other.ibsfuncs.get_image_lazydict(ibs, gid, config=None)

Parameters

• ibs (wbia.IBEISController) – image analysis api

• aid (int) – annotation id

• config (dict) – (default = None)

Returns

metadata

Return type

ut.LazyDict

CommandLine:

python -m wbia.other.ibsfuncs –exec-get_annot_lazy_dict2 –show

Example

>>> # ENABLE_DOCTEST
>>> from wbia.other.ibsfuncs import *  # NOQA
>>> import wbia
>>> ibs = wbia.opendb(defaultdb='testdb1')
>>> gid = 1

wbia.other.ibsfuncs.get_image_time_statstr(ibs, gid_list=None)

wbia.other.ibsfuncs.get_infostr(ibs)

Returns sort printable database information

Parameters

ibs (IBEISController) – wbia controller object

Returns

infostr

Return type

str

wbia.other.ibsfuncs.get_location_text(ibs, location_text, default_location_text)

wbia.other.ibsfuncs.get_missing_gids(ibs, gid_list=None)

Finds gids with broken links to the original data.

Parameters

• ibs (IBEISController) – wbia controller object

• gid_list (list) – (default = None)

CommandLine:

python -m wbia.other.ibsfuncs –exec-get_missing_gids –db GZ_Master1

Example

>>> # ENABLE_DOCTEST
>>> from wbia.other.ibsfuncs import *  # NOQA
>>> import wbia
>>> ibs = wbia.opendb(defaultdb='testdb1')
>>> #ibs = wbia.opendb('GZ_Master1')
>>> gid_list = ibs.get_valid_gids()
>>> bad_gids = ibs.get_missing_gids(gid_list)
>>> print('#bad_gids = %r / %r' % (len(bad_gids), len(gid_list)))

wbia.other.ibsfuncs.get_num_annots_per_name(ibs, aid_list)

Returns the number of annots per name (IN THIS LIST)

Parameters

• ibs (IBEISController) – wbia controller object

• aid_list (int) – list of annotation ids

CommandLine:

python -m wbia.other.ibsfuncs –exec-get_num_annots_per_name python -m wbia.other.ibsfuncs –exec-get_num_annots_per_name –db PZ_Master1

Example

>>> # UNSTABLE_DOCTEST
>>> from wbia.other.ibsfuncs import *  # NOQA
>>> import wbia
>>> ibs = wbia.opendb(defaultdb='testdb1')
>>> aid_list = ibs.get_valid_aids(is_known=True)
>>> num_annots_per_name, unique_nids = get_num_annots_per_name(ibs, aid_list)
>>> per_name_hist = ut.dict_hist(num_annots_per_name)
>>> items = per_name_hist.items()
>>> items = sorted(items)[::-1]
>>> key_list = ut.get_list_column(items, 0)
>>> val_list = ut.get_list_column(items, 1)
>>> min_per_name = dict(zip(key_list, np.cumsum(val_list)))
>>> result = ('per_name_hist = %s' % (ut.repr2(per_name_hist),))
>>> print(result)
>>> print('min_per_name = %s' % (ut.repr2(min_per_name),))
per_name_hist = {
    1: 5,
    2: 2,
}

wbia.other.ibsfuncs.get_primary_database_species(ibs, aid_list=None, speedhack=True)

Parameters

aid_list (list) – list of annotation ids (default = None)

CommandLine:

python -m wbia.other.ibsfuncs –test-get_primary_database_species

Example

>>> # ENABLE_DOCTEST
>>> from wbia.other.ibsfuncs import *  # NOQA
>>> import wbia
>>> ibs = wbia.opendb(defaultdb='testdb1')
>>> aid_list = None
>>> primary_species = get_primary_database_species(ibs, aid_list)
>>> result = primary_species
>>> print('primary_species = %r' % (primary_species,))
>>> print(result)
zebra_plains

wbia.other.ibsfuncs.get_primary_species_viewpoint(species, plus=0)

Parameters

• ibs (IBEISController) – wbia controller object

• species –

Returns

primary_viewpoint

Return type

str

CommandLine:

python -m wbia.other.ibsfuncs –exec-get_primary_species_viewpoint

Example

>>> # ENABLE_DOCTEST
>>> from wbia.other.ibsfuncs import *  # NOQA
>>> import wbia
>>> species = wbia.const.TEST_SPECIES.ZEB_PLAIN
>>> aid_subset = get_primary_species_viewpoint(species, 0)
>>> result = ('aid_subset = %s' % (str(aid_subset),))
>>> print(result)
aid_subset = left

wbia.other.ibsfuncs.get_quality_filterflags(ibs, aid_list, minqual, unknown_ok=True)

DEPRICATE

Parameters

• ibs (IBEISController) – wbia controller object

• aid_list (int) – list of annotation ids

• minqual (str) – qualtext

• unknown_ok (bool) – (default = False)

Returns

qual_flags

Return type

iter

CommandLine:

python -m wbia.other.ibsfuncs –exec-get_quality_filterflags

Example

>>> # DISABLE_DOCTEST
>>> from wbia.other.ibsfuncs import *  # NOQA
>>> import wbia
>>> ibs = wbia.opendb(defaultdb='testdb1')
>>> aid_list = ibs.get_valid_aids()[0:20]
>>> minqual = 'junk'
>>> unknown_ok = False
>>> qual_flags = list(get_quality_filterflags(ibs, aid_list, minqual, unknown_ok))
>>> result = ('qual_flags = %s' % (str(qual_flags),))
>>> print(result)

wbia.other.ibsfuncs.get_quality_viewpoint_filterflags(ibs, aid_list, minqual, valid_yaws)

wbia.other.ibsfuncs.get_special_imgsetids(ibs)

wbia.other.ibsfuncs.get_species_dbs(species_prefix)

wbia.other.ibsfuncs.get_two_annots_per_name_and_singletons(ibs, onlygt=False)

makes controlled subset of data

DEPRICATE

CONTROLLED TEST DATA

Build data for experiment that tries to rule out as much bad data as possible

Returns a controlled set of annotations that conforms to

• number of annots per name

• uniform species

• viewpoint restrictions

• quality restrictions

• time delta restrictions

CommandLine:

python -m wbia.other.ibsfuncs –test-get_two_annots_per_name_and_singletons python -m wbia.other.ibsfuncs –test-get_two_annots_per_name_and_singletons –db GZ_ALL python -m wbia.other.ibsfuncs –test-get_two_annots_per_name_and_singletons –db PZ_Master0 –onlygt

Ignore:

sys.argv.extend([’–db’, ‘PZ_MTEST’])

Example

>>> # DISABLE_DOCTEST
>>> from wbia.other.ibsfuncs import *  # NOQA
>>> import wbia
>>> ibs = wbia.opendb(defaultdb='PZ_Master0')
>>> aid_subset = get_two_annots_per_name_and_singletons(ibs, onlygt=ut.get_argflag('--onlygt'))
>>> wbia.other.dbinfo.get_dbinfo(ibs, aid_list=aid_subset, with_contrib=False)
>>> result = str(aid_subset)
>>> print(result)

wbia.other.ibsfuncs.get_unflat_am_aidpairs(ibs, aids_list)

Gets only aid pairs that have some reviewed/matched status

wbia.other.ibsfuncs.get_unflat_am_rowids(ibs, aids_list)

wbia.other.ibsfuncs.get_unflat_annots_hourdists_list(ibs, aids_list)

Example

>>> # DISABLE_DOCTEST
>>> from wbia.other.ibsfuncs import *  # NOQA
>>> ibs = testdata_ibs('testdb1')
>>> nid_list = get_valid_multiton_nids_custom(ibs)
>>> aids_list_ = ibs.get_name_aids(nid_list)
>>> aids_list = [(aids) for aids in aids_list_]
>>> ibs.get_unflat_annots_hourdists_list(aids_list)

wbia.other.ibsfuncs.get_unflat_annots_kmdists_list(ibs, aids_list)

wbia.other.ibsfuncs.get_unflat_annots_speeds_list(ibs, aids_list)

DEPRICATE. SLOWER

wbia.other.ibsfuncs.get_unflat_annots_speeds_list2(ibs, aids_list)

much faster than original version

_ = ibs.get_unflat_annots_speeds_list2(aids_list)

%timeit ibs.get_unflat_annots_speeds_list(aids_list) 3.44 s per loop

%timeit ibs.get_unflat_annots_speeds_list2(aids_list) 665 ms per loop

%timeit ibs.get_unflat_annots_speeds_list(aids_list[0:1]) 12.8 ms %timeit ibs.get_unflat_annots_speeds_list2(aids_list[0:1]) 6.51 ms

assert ibs.get_unflat_annots_speeds_list([]) == ibs.get_unflat_annots_speeds_list2([])

ibs.get_unflat_annots_speeds_list([[]]) ibs.get_unflat_annots_speeds_list2([[]])

wbia.other.ibsfuncs.get_unflat_annots_timedelta_list(ibs, aids_list)

Example

>>> # DISABLE_DOCTEST
>>> from wbia.other.ibsfuncs import *  # NOQA
>>> ibs = testdata_ibs('NNP_Master3')
>>> nid_list = get_valid_multiton_nids_custom(ibs)
>>> aids_list_ = ibs.get_name_aids(nid_list)
>>> aids_list = [(aids) for aids in aids_list_]

wbia.other.ibsfuncs.get_unflat_case_tags(ibs, aids_list)

Gets only aid pairs that have some reviewed/matched status

wbia.other.ibsfuncs.get_ungrouped_gids(ibs)

CommandLine:

python -m wbia.other.ibsfuncs –test-get_ungrouped_gids

Example

>>> # ENABLE_DOCTEST
>>> from wbia.other.ibsfuncs import *  # NOQA
>>> import wbia  # NOQA
>>> ibs = wbia.opendb('testdb1')
>>> ibs.delete_all_imagesets()
>>> ibs.compute_occurrences(config={'use_gps': False, 'seconds_thresh': 600})
>>> ibs.update_special_imagesets()
>>> # Now we want to remove some images from a non-special imageset
>>> nonspecial_imgsetids = [i for i in ibs.get_valid_imgsetids() if i not in ibs.get_special_imgsetids()]
>>> print("Nonspecial EIDs %r" % nonspecial_imgsetids)
>>> images_to_remove = ibs.get_imageset_gids(nonspecial_imgsetids[0:1])[0][0:1]
>>> print("Removing %r" % images_to_remove)
>>> ibs.unrelate_images_and_imagesets(images_to_remove,nonspecial_imgsetids[0:1] * len(images_to_remove))
>>> ibs.update_special_imagesets()
>>> ungr_imgsetid = ibs.get_imageset_imgsetids_from_text(const.UNGROUPED_IMAGES_IMAGESETTEXT)
>>> print("Ungrouped gids %r" % ibs.get_ungrouped_gids())
>>> print("Ungrouped imgsetid %d contains %r" % (ungr_imgsetid, ibs.get_imageset_gids([ungr_imgsetid])))
>>> ungr_gids = ibs.get_imageset_gids([ungr_imgsetid])[0]
>>> assert(sorted(images_to_remove) == sorted(ungr_gids))

wbia.other.ibsfuncs.get_valid_multiton_nids_custom(ibs)

wbia.other.ibsfuncs.get_viewpoint_filterflags(ibs, aid_list, valid_yaws, unknown_ok=True, assume_unique=False)

Parameters

• ibs (IBEISController) – wbia controller object

• aid_list (int) – list of annotation ids

• valid_yaws –

• unknown_ok (bool) – (default = True)

Returns

aid_list - list of annotation ids

Return type

int

CommandLine:

python -m wbia.other.ibsfuncs –exec-get_viewpoint_filterflags python -m wbia.other.ibsfuncs –exec-get_viewpoint_filterflags –db NNP_Master3

Example

>>> # DISABLE_DOCTEST
>>> from wbia.other.ibsfuncs import *  # NOQA
>>> import wbia
>>> ibs = wbia.opendb(defaultdb='Spotted_Dolfin_Master')
>>> aid_list = ibs.get_valid_aids()[0:20]
>>> valid_yaws = ['left']
>>> unknown_ok = False
>>> yaw_flags = list(get_viewpoint_filterflags(ibs, aid_list, valid_yaws, unknown_ok))
>>> result = ('yaw_flags = %s' % (str(yaw_flags),))
>>> print(result)

wbia.other.ibsfuncs.get_yaw_viewtexts(yaw_list)

Parameters

yaw_list (list of angles) –

CommandLine:

python -m wbia.other.ibsfuncs –test-get_yaw_viewtexts

Todo

rhombicubeoctehedron

https://en.wikipedia.org/wiki/Rhombicuboctahedron

up, down, front, left, back, right, front-left, back-left, back-right, front-right, up-front, up-left, up-back, up-right, up-front-left, up-back-left, up-back-right, up-front-right, down-front, down-left, down-back, down-right, down-front-left, down-back-left, down-back-right, down-front-right,

Example

>>> # ENABLE_DOCTEST
>>> from wbia.other.ibsfuncs import *  # NOQA
>>> import numpy as np
>>> yaw_list = [0.0, np.pi / 2, np.pi / 4, np.pi, 3.15, -.4, -8, .2, 4, 7, 20, None]
>>> text_list = get_yaw_viewtexts(yaw_list)
>>> result = ut.repr2(text_list, nl=False)
>>> print(result)
['right', 'front', 'frontright', 'left', 'left', 'backright', 'back', 'right', 'backleft', 'frontright', 'frontright', None]

wbia.other.ibsfuncs.group_annots_by_known_names(ibs, aid_list, checks=True)

FIXME; rectify this #>>> import wbia # NOQA

CommandLine:

python -m wbia.other.ibsfuncs –test-group_annots_by_known_names

Example

>>> # ENABLE_DOCTEST
>>> from wbia.other.ibsfuncs import *  # NOQA
>>> import wbia
>>> ibs = wbia.opendb(db='testdb1')
>>> aid_list = ibs.get_valid_aids()
>>> [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13]
>>> known_aids_list, unknown_aids = group_annots_by_known_names(ibs, aid_list)
>>> result = ut.repr2(sorted(known_aids_list)) + '\n'
>>> result += ut.repr2(unknown_aids)
>>> print(result)
[[2, 3], [5, 6], [7], [8], [10], [12], [13]]
[11, 9, 4, 1]

wbia.other.ibsfuncs.group_annots_by_multi_prop(ibs, aids, getter_list)

Performs heirachical grouping of annotations based on properties

Parameters

• ibs (IBEISController) – wbia controller object

• aids (list) – list of annotation rowids

• getter_list (list) –

Returns

multiprop2_aids

Return type

dict

CommandLine:

python -m wbia.other.ibsfuncs –exec-group_annots_by_multi_prop –db PZ_Master1 –props=viewpoint_code,name_rowids –keys1 frontleft python -m wbia.other.ibsfuncs –exec-group_annots_by_multi_prop

Example

>>> # DISABLE_DOCTEST
>>> from wbia.other.ibsfuncs import *  # NOQA
>>> import wbia
>>> ibs = wbia.opendb(defaultdb='testdb1')
>>> aids = ibs.get_valid_aids(is_known=True)
>>> #getter_list = [ibs.get_annot_name_rowids, ibs.get_annot_viewpoints]
>>> props = ut.get_argval('--props', type_=list, default=['viewpoint_code', 'name_rowids'])
>>> getter_list = [getattr(ibs, 'get_annot_' + prop) for prop in props]
>>> print('getter_list = %r' % (getter_list,))
>>> #getter_list = [ibs.get_annot_viewpoints, ibs.get_annot_name_rowids]
>>> multiprop2_aids = group_annots_by_multi_prop(ibs, aids, getter_list)
>>> get_dict_values = lambda x: list(x.values())
>>> # a bit convoluted
>>> keys1 = ut.get_argval('--keys1', type_=list, default=list(multiprop2_aids.keys()))
>>> multiprop2_num_aids = ut.hmap_vals(len, multiprop2_aids)
>>> prop2_num_aids = ut.hmap_vals(get_dict_values, multiprop2_num_aids, max_depth=len(props) - 2)
>>> #prop2_num_aids_stats = ut.hmap_vals(ut.get_stats, prop2_num_aids)
>>> prop2_num_aids_hist = ut.hmap_vals(ut.dict_hist, prop2_num_aids)
>>> prop2_num_aids_cumhist = ut.map_dict_vals(ut.dict_hist_cumsum, prop2_num_aids_hist)
>>> print('prop2_num_aids_hist[%s] = %s' % (keys1,  ut.repr2(ut.dict_subset(prop2_num_aids_hist, keys1))))
>>> print('prop2_num_aids_cumhist[%s] = %s' % (keys1,  ut.repr2(ut.dict_subset(prop2_num_aids_cumhist, keys1))))

wbia.other.ibsfuncs.group_annots_by_name(ibs, aid_list, distinguish_unknowns=True, assume_unique=False)

This function is probably the fastest of its siblings

Parameters

• ibs (IBEISController) – wbia controller object

• aid_list (list) –

• distinguish_unknowns (bool) –

Returns

grouped_aids, unique_nids

Return type

tuple

CommandLine:

python -m wbia.other.ibsfuncs –test-group_annots_by_name

Example

>>> # ENABLE_DOCTEST
>>> from wbia.other.ibsfuncs import *  # NOQA
>>> import wbia
>>> ibs = wbia.opendb('testdb1')
>>> aid_list = ibs.get_valid_aids()
>>> distinguish_unknowns = True
>>> grouped_aids, unique_nids = group_annots_by_name(ibs, aid_list, distinguish_unknowns)
>>> result = str([aids.tolist() for aids in grouped_aids])
>>> result += '\n' + str(unique_nids.tolist())
>>> print(result)
[[11], [9], [4], [1], [2, 3], [5, 6], [7], [8], [10], [12], [13]]
[-11, -9, -4, -1, 1, 2, 3, 4, 5, 6, 7]

wbia.other.ibsfuncs.group_annots_by_name_dict(ibs, aids)

wbia.other.ibsfuncs.group_annots_by_prop(ibs, aids, getter_func)

wbia.other.ibsfuncs.group_annots_by_prop_and_name(ibs, aids, getter_func)

wbia.other.ibsfuncs.group_prop_edges(prop2_nid2_aids, prop_basis, size=2, wrap=True)

from wbia.other.ibsfuncs import * # NOQA getter_func = ibs.get_annot_viewpoints prop_basis = list(const.VIEWTEXT_TO_YAW_RADIANS.keys()) size = 2 wrap = True

wbia.other.ibsfuncs.import_folder(ibs, path, recursive=True, **kwargs)

wbia.other.ibsfuncs.inspect_ggr_qr_codes(ibs, *args, **kwargs)

Inspect QR codes in each imageset.

Parameters

• ibs (IBEISController) – wbia controller object

• imageset_rowid_list (list) – imageset rowid list

CommandLine:

python -m wbia.other.ibsfuncs inspect_ggr_qr_codes

Example

>>> # DISABLE_DOCTEST
>>> from wbia.other.ibsfuncs import *  # NOQA
>>> import wbia  # NOQA
>>> default_dbdir = join('/', 'data', 'wbia', 'GGR2-IBEIS')
>>> dbdir = ut.get_argval('--dbdir', type_=str, default=default_dbdir)
>>> ibs = wbia.opendb(dbdir=dbdir)
>>> ibs.inspect_ggr_qr_codes()

wbia.other.ibsfuncs.inspect_nonzero_yaws(ibs)

python dev.py –dbdir /raid/work2/PZ_Master –cmd –show

wbia.other.ibsfuncs.is_aid_unknown(ibs, aid_list)

Returns if an annotation has been given a name (even if that name is temporary)

wbia.other.ibsfuncs.is_nid_unknown(ibs, nid_list)

wbia.other.ibsfuncs.lookup_annot_vecs_subset(ibs, unflat_aids, unflat_fxs, annots=None, config2_=None)

unflat_aids = naids_list unflat_fxs = nfxs_list annots = data_annots config2_ = data_config2_

unflat_aids = cm.filtnorm_aids[0] unflat_fxs = cm.filtnorm_fxs[0]

wbia.other.ibsfuncs.make_next_imageset_text(ibs)

Creates what the next imageset name would be but does not add it to the database

Parameters

ibs (IBEISController) – wbia controller object

CommandLine:

python -m wbia.other.ibsfuncs –test-make_next_imageset_text

Example

>>> # ENABLE_DOCTEST
>>> from wbia.other.ibsfuncs import *  # NOQA
>>> import wbia
>>> ibs = wbia.opendb('testdb1')
>>> new_imagesettext = make_next_imageset_text(ibs)
>>> result = new_imagesettext
>>> print(result)
New ImageSet 0

wbia.other.ibsfuncs.make_next_name(ibs, num=None, str_format=2, species_text=None, location_text=None)

Creates a number of names which are not in the database, but does not add them

Parameters

• ibs (IBEISController) – wbia controller object

• num (None) –

• str_format (int) – either 1 or 2

Returns

next_name

Return type

str

CommandLine:

python -m wbia.other.ibsfuncs –test-make_next_name

Example

>>> # ENABLE_DOCTEST
>>> from wbia.other.ibsfuncs import *  # NOQA
>>> import wbia
>>> ibs1 = wbia.opendb('testdb1')
>>> ibs2 = wbia.opendb('PZ_MTEST')
>>> ibs3 = wbia.opendb('NAUT_test')
>>> ibs1._clean_species()
>>> ibs2._clean_species()
>>> ibs3._clean_species()
>>> num = None
>>> str_format = 2
>>> next_name1 = make_next_name(ibs1, num, str_format)
>>> next_name2 = make_next_name(ibs2, num, str_format)
>>> next_name3 = make_next_name(ibs3, num, str_format)
>>> next_name4 = make_next_name(ibs1, num, str_format, const.TEST_SPECIES.ZEB_GREVY)
>>> name_list = [next_name1, next_name2, next_name3, next_name4]
>>> next_name_list1 = make_next_name(ibs2, 5, str_format)
>>> temp_nids = ibs2.add_names(['WBIA_PZ_0045', 'WBIA_PZ_0048'])
>>> next_name_list2 = make_next_name(ibs2, 5, str_format)
>>> ibs2.delete_names(temp_nids)
>>> next_name_list3 = make_next_name(ibs2, 5, str_format)
>>> # FIXME: nautiluses are not working right
>>> names = (name_list, next_name_list1, next_name_list2, next_name_list3)
>>> result = ut.repr4(names)
>>> print(result)
(
    ['IBEIS_UNKNOWN_0008', 'IBEIS_UNKNOWN_0042', 'IBEIS_UNKNOWN_0004', 'IBEIS_GZ_0008'],
    ['IBEIS_UNKNOWN_0042', 'IBEIS_UNKNOWN_0043', 'IBEIS_UNKNOWN_0044', 'IBEIS_UNKNOWN_0045', 'IBEIS_UNKNOWN_0046'],
    ['IBEIS_UNKNOWN_0044', 'IBEIS_UNKNOWN_0045', 'IBEIS_UNKNOWN_0046', 'IBEIS_UNKNOWN_0047', 'IBEIS_UNKNOWN_0048'],
    ['IBEIS_UNKNOWN_0042', 'IBEIS_UNKNOWN_0043', 'IBEIS_UNKNOWN_0044', 'IBEIS_UNKNOWN_0045', 'IBEIS_UNKNOWN_0046'],
)

wbia.other.ibsfuncs.make_next_nids(ibs, num=None, str_format=2, species_text=None, location_text=None)

makes name and adds it to the database returning the newly added name rowid(s)

CAUTION; changes database state

SeeAlso:

make_next_name

wbia.other.ibsfuncs.merge_ggr_staged_annots(ibs, min_overlap=0.25, reviews_required=3, liberal_aoi=False)

Merge the staged annotations into a single set of actual annotations (with AoI)

Parameters

ibs (IBEISController) – wbia controller object

CommandLine:

python -m wbia.other.ibsfuncs merge_ggr_staged_annots

Example

>>> # DISABLE_DOCTEST
>>> from wbia.other.ibsfuncs import *  # NOQA
>>> from os.path import expanduser
>>> import wbia  # NOQA
>>> # default_dbdir = join('/', 'data', 'wbia', 'GGR2-IBEIS')
>>> default_dbdir = expanduser(join('~', 'data', 'GGR2-IBEIS'))
>>> dbdir = ut.get_argval('--dbdir', type_=str, default=default_dbdir)
>>> ibs = wbia.opendb(dbdir=dbdir)
>>> new_aid_list, broken_gid_list = ibs.merge_ggr_staged_annots()
>>> print('Encountered %d invalid gids: %r' % (len(broken_gid_list), broken_gid_list, ))

wbia.other.ibsfuncs.merge_ggr_staged_annots_cluster(ibs, user_id_list, user_dict, aid_list, index_list, min_overlap=0.25)

wbia.other.ibsfuncs.merge_ggr_staged_annots_marriage(ibs, user_id_list, user_dict, aid_list, index_list, min_overlap=0.1)

wbia.other.ibsfuncs.merge_names(ibs, merge_name, other_names)

Parameters

• ibs (IBEISController) – wbia controller object

• merge_name (str) –

• other_names (list) –

CommandLine:

python -m wbia.other.ibsfuncs –test-merge_names

Example

>>> # DISABLE_DOCTEST
>>> from wbia.other.ibsfuncs import *  # NOQA
>>> import wbia  # NOQA
>>> ibs = wbia.opendb('testdb1')
>>> merge_name = 'zebra'
>>> other_names = ['occl', 'jeff']
>>> result = merge_names(ibs, merge_name, other_names)
>>> print(result)
>>> ibs.print_names_table()

wbia.other.ibsfuncs.new_imagesets_from_images(ibs, gids_list)

Parameters

gids_list (list) –

wbia.other.ibsfuncs.nms_aids(ibs, aid_list, **kwargs)

wbia.other.ibsfuncs.nms_boxes(ibs, indices, bboxes, thetas, confs, classes, nms_thresh=0.2, nms_aware=None, verbose=False, **kwargs)

wbia.other.ibsfuncs.overwrite_ggr_unixtimes_from_gps(ibs, gmt_offset=3.0, *args, **kwargs)

Sync image time offsets using QR codes sync data

Parameters

ibs (IBEISController) – wbia controller object

CommandLine:

python -m wbia.other.ibsfuncs overwrite_ggr_unixtimes_from_gps

Example

>>> # DISABLE_DOCTEST
>>> from wbia.other.ibsfuncs import *  # NOQA
>>> import wbia  # NOQA
>>> default_dbdir = join('/', 'data', 'wbia', 'GGR2-IBEIS')
>>> dbdir = ut.get_argval('--dbdir', type_=str, default=default_dbdir)
>>> ibs = wbia.opendb(dbdir=dbdir)
>>> ibs.overwrite_ggr_unixtimes_from_gps()

wbia.other.ibsfuncs.overwrite_unixtimes_from_gps(ibs, gid_list, gmt_offset=3.0)

Sync image time offsets using QR codes sync data

Parameters

ibs (IBEISController) – wbia controller object

CommandLine:

python -m wbia.other.ibsfuncs overwrite_unixtimes_from_gps

Example

>>> # DISABLE_DOCTEST
>>> from wbia.other.ibsfuncs import *  # NOQA
>>> import wbia  # NOQA
>>> default_dbdir = join('/', 'data', 'wbia', 'GGR2-IBEIS')
>>> dbdir = ut.get_argval('--dbdir', type_=str, default=default_dbdir)
>>> ibs = wbia.opendb(dbdir=dbdir)
>>> ibs.overwrite_unixtimes_from_gps()

wbia.other.ibsfuncs.overwrite_unixtimes_from_gps_worker(path)

wbia.other.ibsfuncs.parse_annot_config_stats_filter_kws(ibs)

wbia.other.ibsfuncs.parse_annot_stats_filter_kws(ibs)

wbia.other.ibsfuncs.parse_ggr_name(ibs, imageset_text, verbose=False, allow_short=False, require_short=False)

wbia.other.ibsfuncs.partition_annots_into_corresponding_groups(ibs, aid_list1, aid_list2)

Used for grouping one-vs-one training pairs and corerspondence filtering

Parameters

• ibs (wbia.control.IBEISControl.IBEISController) – wbia controller object

• aid_list1 (int) – list of annotation ids

• aid_list2 (int) – list of annotation ids

Returns

4 lists of lists. In the first two each list is a list of aids

grouped by names and the names correspond with each other. In the last two are the annots that did not correspond with anything in the other list.

Return type

tuple

CommandLine:

python -m wbia.other.ibsfuncs –exec-partition_annots_into_corresponding_groups

Example

>>> # DISABLE_DOCTEST
>>> from wbia.other.ibsfuncs import *  # NOQA
>>> import wbia
>>> ibs = wbia.opendb(defaultdb='PZ_MTEST')
>>> grouped_aids = list(map(list, ibs.group_annots_by_name(ibs.get_valid_aids())[0]))
>>> grouped_aids = [aids for aids in grouped_aids if len(aids) > 3]
>>> # Get some overlapping groups
>>> import copy
>>> aids_group1 = copy.deepcopy((ut.get_list_column_slice(grouped_aids[0:5], slice(0, 2))))
>>> aids_group2 = copy.deepcopy((ut.get_list_column_slice(grouped_aids[2:7], slice(2, None))))
>>> # Ensure there is a singleton in each
>>> ut.delete_items_by_index(aids_group1[0], [0])
>>> ut.delete_items_by_index(aids_group2[-1], [0])
>>> aid_list1 = ut.flatten(aids_group1)
>>> aid_list2 = ut.flatten(aids_group2)
>>> #aid_list1 = [1, 2, 8, 9, 60]
>>> #aid_list2 = [3, 7, 20]
>>> groups = partition_annots_into_corresponding_groups(ibs, aid_list1, aid_list2)
>>> result = ut.repr2(groups)
>>> print(result)
[[10, 11], [17, 18], [22, 23]]
[[12, 13, 14, 15], [19, 20, 21], [24, 25, 26]]
[[2], [5, 6]]
[[29, 30, 31, 32], [49]]

wbia.other.ibsfuncs.partition_annots_into_singleton_multiton(ibs, aid_list)

aid_list = aid_list_

wbia.other.ibsfuncs.partition_ordered_list_equal_sum(a, k)

Partition a sorted list a into k partitions

Reference:

https://stackoverflow.com/a/35518205 https://gist.github.com/laowantong/ee675108eee64640e5f94f00d8edbcb4

CommandLine:

python -m wbia.other.ibsfuncs partition_ordered_list_equal_sum

Example

>>> # DISABLE_DOCTEST
>>> import random
>>> from wbia.other.ibsfuncs import *  # NOQA
>>> a = [random.randint(0,20) for x in range(50)]
>>> k = 10
>>> print('Partitioning {0} into {1} partitions'.format(a, k))
>>> b = partition_ordered_list_equal_sum(a, k)
>>> print('The best partitioning is {0}\n    With heights {1}\n'.format(b, list(map(sum, b))))

wbia.other.ibsfuncs.partition_ordered_list_equal_sum_recursive(vals, ids, k, level)

wbia.other.ibsfuncs.postinject_func(ibs)

Parameters

ibs (IBEISController) –

CommandLine:

python -m wbia.other.ibsfuncs –test-postinject_func

Example

>>> # ENABLE_DOCTEST
>>> from wbia.other.ibsfuncs import *  # NOQA
>>> import wbia  # NOQA
>>> ibs = wbia.opendb('testdb1')
>>> ibs.delete_empty_nids()  # a test run before this forgot to do this
>>> aids_list = ibs.get_name_aids(ibs.get_valid_nids())
>>> # indirectly test postinject_func
>>> thetas_list = ibs.get_unflat_annot_thetas(aids_list)
>>> result = str(thetas_list)
>>> print(result)
[[0.0, 0.0], [0.0, 0.0], [0.0], [0.0], [0.0], [0.0], [0.0]]

wbia.other.ibsfuncs.prepare_annotgroup_review(ibs, aid_list)

Parameters

• ibs (IBEISController) – wbia controller object

• aid_list (int) – list of annotation ids

Returns

(src_ag_rowid, dst_ag_rowid) - source and dest annot groups

Return type

tuple

CommandLine:

python -m wbia.other.ibsfuncs –test-prepare_annotgroup_review

Example

>>> # ENABLE_DOCTEST
>>> from wbia.other.ibsfuncs import *  # NOQA
>>> import wbia
>>> ibs = wbia.opendb('testdb1')
>>> aid_list = ibs.get_valid_aids()
>>> result = prepare_annotgroup_review(ibs, aid_list)
>>> print(result)

wbia.other.ibsfuncs.princeton_cameratrap_ocr_bottom_bar(ibs, gid_list=None)

wbia.other.ibsfuncs.princeton_cameratrap_ocr_bottom_bar_accuracy(ibs, offset=61200, **kwargs)

wbia.other.ibsfuncs.princeton_cameratrap_ocr_bottom_bar_csv(ibs, prefix='/data/raw/unprocessed/horses/', threshold=0.39)

wbia.other.ibsfuncs.princeton_cameratrap_ocr_bottom_bar_parser(raw)

wbia.other.ibsfuncs.princeton_process_encounters(ibs, input_file_path, assert_valid=True, **kwargs)

wbia.other.ibsfuncs.princeton_process_individuals(ibs, input_file_path, **kwargs)

wbia.other.ibsfuncs.print_alr_table(ibs, **kwargs)

Dumps alr table to stdout

wbia.other.ibsfuncs.print_annot_stats(ibs, aids, prefix='', label='', **kwargs)

wbia.other.ibsfuncs.print_annotation_table(ibs, verbosity=1, exclude_columns=[], include_columns=[])

Dumps annotation table to stdout

Parameters

• ibs (IBEISController) –

• verbosity (int) –

Example

>>> # ENABLE_DOCTEST
>>> from wbia.other.ibsfuncs import *  # NOQA
>>> import wbia  # NOQA
>>> ibs = wbia.opendb('testdb1')
>>> verbosity = 1
>>> print_annotation_table(ibs, verbosity)

wbia.other.ibsfuncs.print_annotconfig_stats(ibs, qaids, daids, **kwargs)

SeeAlso:

ibs.get_annotconfig_stats

wbia.other.ibsfuncs.print_annotmatch_table(ibs)

Dumps annotation match table to stdout

Parameters

ibs (IBEISController) – wbia controller object

CommandLine:

python -m wbia.other.ibsfuncs –exec-print_annotmatch_table python -m wbia.other.ibsfuncs –exec-print_annotmatch_table –db PZ_Master1

Example

>>> # SCRIPT
>>> from wbia.other.ibsfuncs import *  # NOQA
>>> import wbia
>>> ibs = wbia.opendb(defaultdb='testdb1')
>>> result = print_annotmatch_table(ibs)
>>> print(result)

wbia.other.ibsfuncs.print_chip_table(ibs)

Dumps chip table to stdout

wbia.other.ibsfuncs.print_config_table(ibs, **kwargs)

Dumps config table to stdout

wbia.other.ibsfuncs.print_contributor_table(ibs, verbosity=1, exclude_columns=[])

Dumps annotation table to stdout

Parameters

• ibs (IBEISController) –

• verbosity (int) –

Example

>>> # ENABLE_DOCTEST
>>> from wbia.other.ibsfuncs import *  # NOQA
>>> import wbia  # NOQA
>>> ibs = wbia.opendb('testdb1')
>>> verbosity = 1
>>> print_contributor_table(ibs, verbosity)

wbia.other.ibsfuncs.print_dbinfo(ibs, **kwargs)

wbia.other.ibsfuncs.print_egpairs_table(ibs, **kwargs)

Dumps egpairs table to stdout

wbia.other.ibsfuncs.print_feat_table(ibs)

Dumps chip table to stdout

wbia.other.ibsfuncs.print_image_table(ibs, **kwargs)

Dumps chip table to stdout

wbia.other.ibsfuncs.print_imageset_table(ibs, **kwargs)

Dumps imageset table to stdout

Kwargs:

exclude_columns (list):

wbia.other.ibsfuncs.print_infostr(ibs, **kwargs)

wbia.other.ibsfuncs.print_lblannot_table(ibs, **kwargs)

Dumps lblannot table to stdout

wbia.other.ibsfuncs.print_name_table(ibs, **kwargs)

Dumps name table to stdout

wbia.other.ibsfuncs.print_partition_sizes_recursive(vals, k, level=0, index=0)

wbia.other.ibsfuncs.print_party_table(ibs, **kwargs)

Dumps chip table to stdout

wbia.other.ibsfuncs.print_species_table(ibs, **kwargs)

Dumps species table to stdout

wbia.other.ibsfuncs.print_tables(ibs, exclude_columns=None, exclude_tables=None)

wbia.other.ibsfuncs.purge_ggr_unixtime_out_of_bounds(ibs, *args, **kwargs)

wbia.other.ibsfuncs.query_ggr_gids_between_dates(ibs, gid_list=None, date1=(2018, 1, 27), date2=(2018, 1, 29), local_offset=- 8.0, gmt_offset=3.0)

wbia.other.ibsfuncs.remove_aids_of_viewpoint(ibs, aid_list, invalid_yaws)

Removes aids that do not have a valid yaw

TODO; rename to valid_viewpoint because this func uses category labels

wbia.other.ibsfuncs.remove_groundtrue_aids(ibs, aid_list, ref_aid_list)

removes any aids that are known to match

wbia.other.ibsfuncs.report_sightings(ibs, complete=True, include_images=False, kaia=False, **kwargs)

wbia.other.ibsfuncs.report_sightings_str(ibs, **kwargs)

wbia.other.ibsfuncs.run_integrity_checks(ibs)

Function to run all database consistency checks

wbia.other.ibsfuncs.search_annot_notes(ibs, pattern, aid_list=None)

Example

>>> # DISABLE_DOCTEST
>>> from wbia.other.ibsfuncs import *  # NOQA
>>> import wbia
>>> ibs = wbia.opendb('PZ_Master0')
>>> pattern = ['gash', 'injury', 'scar', 'wound']
>>> valid_aid_list = ibs.search_annot_notes(pattern)
>>> print(valid_aid_list)
>>> print(ibs.get_annot_notes(valid_aid_list))

wbia.other.ibsfuncs.search_ggr_qr_codes(ibs, imageset_rowid_list=None, timeout=None, **kwargs)

Search for QR codes in each imageset.

Parameters

• ibs (IBEISController) – wbia controller object

• imageset_rowid_list (list) – imageset rowid list

CommandLine:

python -m wbia.other.ibsfuncs search_ggr_qr_codes

Reference:

https://www.learnopencv.com/barcode-and-qr-code-scanner-using-zbar-and-opencv/

macOS:

brew install zbar

or

curl -O https://ayera.dl.sourceforge.net/project/zbar/zbar/0.10/zbar-0.10.tar.bz2 tar -xvjf zbar-0.10.tar.bz2 cd zbar-0.10/ CPPFLAGS=”-I/opt/local/include” LDFLAGS=”-L/opt/local/lib” ./configure –disable-video –without-qt –without-python –without-gtk –with-libiconv-prefix=/opt/local –with-jpeg=yes –prefix=$VIRTUAL_ENV make make install sudo ln $VIRTUAL_ENV/lib/libzbar.dylib /opt/local/lib/libzbar.dylib sudo ln $VIRTUAL_ENV/include/zbar.h /opt/local/include/zbar.h

Ubuntu:

sudo apt-get install libzbar-dev libzbar0

pip install pyzbar

Example

>>> # DISABLE_DOCTEST
>>> from wbia.other.ibsfuncs import *  # NOQA
>>> import wbia  # NOQA
>>> default_dbdir = join('/', 'data', 'wbia', 'GGR2-IBEIS')
>>> dbdir = ut.get_argval('--dbdir', type_=str, default=default_dbdir)
>>> ibs = wbia.opendb(dbdir=dbdir)
>>> ibs.search_ggr_qr_codes()

wbia.other.ibsfuncs.search_ggr_qr_codes_worker(imageset_rowid, imageset_text, values, gid_list, filepath_list, note_list, timeout)

wbia.other.ibsfuncs.set_annot_names_to_different_new_names(ibs, aid_list, **kwargs)

wbia.other.ibsfuncs.set_annot_names_to_next_name(ibs, aid_list)

wbia.other.ibsfuncs.set_annot_names_to_same_new_name(ibs, aid_list)

wbia.other.ibsfuncs.set_exemplars_from_quality_and_viewpoint(ibs, aid_list=None, exemplars_per_view=None, imgsetid=None, dry_run=False, verbose=True, prog_hook=None)

Automatic exemplar selection algorithm based on viewpoint and quality

References

# implement maximum diversity approximation instead http://www.csbio.unc.edu/mcmillan/pubs/ICDM07_Pan.pdf

CommandLine:

python -m wbia.other.ibsfuncs –test-set_exemplars_from_quality_and_viewpoint python -m wbia.other.ibsfuncs –test-set_exemplars_from_quality_and_viewpoint:1

Example

>>> # ENABLE_DOCTEST
>>> from wbia.other.ibsfuncs import *  # NOQA
>>> import wbia
>>> #ibs = wbia.opendb('PZ_MUGU_19')
>>> ibs = wbia.opendb('PZ_MTEST')
>>> dry_run = True
>>> verbose = False
>>> old_sum = sum(ibs.get_annot_exemplar_flags(ibs.get_valid_aids()))
>>> new_flag_list = ibs.set_exemplars_from_quality_and_viewpoint(dry_run=dry_run)
>>> new_sum = sum(new_flag_list)
>>> print('old_sum = %r' % (old_sum,))
>>> print('new_sum = %r' % (new_sum,))
>>> zero_flag_list = ibs.set_exemplars_from_quality_and_viewpoint(exemplars_per_view=0, dry_run=dry_run)
>>> assert sum(zero_flag_list) == 0
>>> result = new_sum

Example

>>> # ENABLE_DOCTEST
>>> from wbia.other.ibsfuncs import *  # NOQA
>>> import wbia
>>> ibs = wbia.opendb('testdb1')
>>> dry_run = True
>>> verbose = False
>>> old_sum = sum(ibs.get_annot_exemplar_flags(ibs.get_valid_aids()))
>>> new_flag_list = ibs.set_exemplars_from_quality_and_viewpoint(dry_run=dry_run)
>>> # 2 of the 11 annots are unknown and should not be exemplars
>>> ut.assert_eq(sum(new_flag_list), 9)

Example

>>> # DISABLE_DOCTEST
>>> from wbia.other.ibsfuncs import *  # NOQA
>>> import wbia
>>> ibs = wbia.opendb('testdb2')
>>> dry_run = True
>>> verbose = False
>>> imgsetid = None
>>> aid_list = ibs.get_valid_aids(imgsetid=imgsetid)
>>> new_flag_list = ibs.set_exemplars_from_quality_and_viewpoint(aid_list, dry_run=dry_run)
>>> old_flag_list = ibs.get_annot_exemplar_flags(aid_list)
>>> new_exemplar_aids = ut.compress(aid_list, new_flag_list)
>>> new_exemplar_qualtexts = ibs.get_annot_quality_texts(new_exemplar_aids)
>>> assert 'junk' not in new_exemplar_qualtexts, 'should not have junk exemplars'
>>> assert 'poor' not in new_exemplar_qualtexts, 'should not have poor exemplars'
>>> #assert len(new_aid_list) == len(new_flag_list)
>>> # 2 of the 11 annots are unknown and should not be exemplars
>>> #ut.assert_eq(len(new_aid_list), 9)

wbia.other.ibsfuncs.sync_ggr_with_qr_codes(ibs, local_offset=- 8.0, gmt_offset=3.0, *args, **kwargs)

Sync image time offsets using QR codes sync data

Parameters

ibs (IBEISController) – wbia controller object

CommandLine:

python -m wbia.other.ibsfuncs sync_ggr_with_qr_codes

Example

>>> # DISABLE_DOCTEST
>>> from wbia.other.ibsfuncs import *  # NOQA
>>> import wbia  # NOQA
>>> default_dbdir = join('/', 'data', 'wbia', 'GGR2-IBEIS')
>>> dbdir = ut.get_argval('--dbdir', type_=str, default=default_dbdir)
>>> ibs = wbia.opendb(dbdir=dbdir)
>>> ibs.sync_ggr_with_qr_codes()

wbia.other.ibsfuncs.testdata_ibs(defaultdb='testdb1')

wbia.other.ibsfuncs.unflat_map(method, unflat_rowids, **kwargs)

Uses an wbia lookup function with a non-flat rowid list. In essence this is equivilent to map(method, unflat_rowids). The utility of this function is that it only calls method once. This is more efficient for calls that can take a list of inputs

Parameters

• method (method) – wbia controller method

• unflat_rowids (list) – list of rowid lists

Returns

unflat_vals

Return type

list of values

CommandLine:

python -m wbia.other.ibsfuncs –test-unflat_map

Example

>>> # ENABLE_DOCTEST
>>> from wbia.other.ibsfuncs import *  # NOQA
>>> import wbia  # NOQA
>>> ibs = wbia.opendb('testdb1')
>>> method = ibs.get_annot_name_rowids
>>> unflat_rowids = ibs.get_name_aids(ibs.get_valid_nids())
>>> unflat_vals = unflat_map(method, unflat_rowids)
>>> result = str(unflat_vals)
>>> print(result)
[[1, 1], [2, 2], [3], [4], [5], [6], [7]]

wbia.other.ibsfuncs.update_all_image_special_imageset(ibs)

wbia.other.ibsfuncs.update_exemplar_special_imageset(ibs)

wbia.other.ibsfuncs.update_reviewed_unreviewed_image_special_imageset(ibs, reviewed=True, unreviewed=True)

Creates imageset of images that have not been reviewed and that have been reviewed (wrt detection)

wbia.other.ibsfuncs.update_special_imagesets(ibs, use_more_special_imagesets=False)

wbia.other.ibsfuncs.update_species_imagesets(ibs)

wbia.other.ibsfuncs.update_ungrouped_special_imageset(ibs)

Parameters

ibs (IBEISController) – wbia controller object

CommandLine:

python -m wbia.other.ibsfuncs –test-update_ungrouped_special_imageset

Example

>>> # DISABLE_DOCTEST
>>> from wbia.other.ibsfuncs import *  # NOQA
>>> import wbia  # NOQA
>>> ibs = wbia.opendb('testdb9')
>>> result = update_ungrouped_special_imageset(ibs)
>>> print(result)

wbia.other.ibsfuncs.use_images_as_annotations(ibs, gid_list, name_list=None, nid_list=None, notes_list=None, adjust_percent=0.0, tags_list=None)

Adds an annotation the size of the entire image to each image. adjust_percent - shrinks the ANNOTATION by percentage on each side

wbia.other.ibsfuncs.vd(ibs)

wbia.other.ibsfuncs.view_dbdir(ibs)

wbia.other.ibsfuncs.viewpoint_diff(ori1, ori2)

convert distance in radians to distance in viewpoint category

Module contents