API

Wildbook IA Packages

wbia.main

wbia._devcmds_wbia

wbia._devscript

wbia._wbia_object

class wbia._wbia_object.ObjectList1D(rowids, ibs, config=None, caching=False, asarray=False)[source]

Bases: utool.util_dev.NiceRepr, utool.util_class.HashComparable2

An object that efficiently operates on a list of wbia objects using vectorized code. Single instances can be returned as ObjectScalar0D’s

chunks(chunksize)[source]

compress(flags)[source]

disconnect()[source]: Disconnects object from the state of the database. All information has been assumed to be preloaded.

group(labels)[source]: group as list

group_indicies(labels)[source]

group_items(labels)[source]: group as dict

group_uuid()[source]

loc(rowids)[source]: Lookup subset by rowids

lookup_idxs(rowids)[source]: Lookup subset indicies by rowids

preload(*attrs)[source]

scalars()[source]

set_caching(flag)[source]

take(idxs)[source]: Creates a subset of the list using the specified indices.

take_column(keys)[source]

view(rowids=None)[source]: Like take, but returns a view proxy that maps to the original parent

class wbia._wbia_object.ObjectScalar0D(obj1d)[source]

Bases: utool.util_dev.NiceRepr, utool.util_class.HashComparable2

This actually stores a ObjectList1D of length 1 and simply calls those functions where available

class wbia._wbia_object.ObjectView1D(rowids, obj1d, cache=None)[source]

Bases: utool.util_dev.NiceRepr

Allows for proxy caching.

Example

>>> # ENABLE_DOCTEST
>>> from wbia._wbia_object import *  # NOQA
>>> import wbia
>>> ibs = wbia.opendb(defaultdb='testdb1')
>>> aids = ibs.get_valid_aids()
>>> a = self = annots = ibs.annots(aids)
>>> rowids = [1, 1, 3, 2, 1, 2]
>>> self = v = a.view(rowids)
>>> assert np.all(v.vecs[0] == v.vecs[1])
>>> assert v.vecs[0] is v.vecs[1]
>>> assert v.vecs[0] is not v.vecs[2]

view(rowids)[source]

returns a view of a view that uses the same per-item cache

Example

>>> # ENABLE_DOCTEST
>>> from wbia._wbia_object import *  # NOQA
>>> import wbia
>>> ibs = wbia.opendb(defaultdb='testdb1')
>>> aids = ibs.get_valid_aids()
>>> annots = ibs.annots(aids)
>>> self = annots.view(annots._rowids)
>>> v1 = self.view([1, 1, 2, 3, 1, 2])
>>> v2 = self.view([3, 4, 5])
>>> v3 = self.view([1, 4])
>>> v4 = self.view(3)
>>> lazy4 = v4._make_lazy_dict()
>>> assert v1.vecs[0] is v3.vecs[0]
>>> assert v2._cache is self._cache
>>> assert v2._cache is v1._cache

wbia.annotmatch_funcs

wbia.annotmatch_funcs.add_annotmatch_undirected(ibs, aids1, aids2, **kwargs)[source]

wbia.annotmatch_funcs.get_annot_has_reviewed_matching_aids(ibs, aid_list, eager=True, nInput=None)[source]

wbia.annotmatch_funcs.get_annot_num_reviewed_matching_aids(ibs, aid1_list, eager=True, nInput=None)[source]

Parameters

aid_list (int) – list of annotation ids
eager (bool) –
nInput (None) –

Returns

num_annot_reviewed_list

Return type

list

CommandLine:: python -m wbia.annotmatch_funcs –test-get_annot_num_reviewed_matching_aids

Example

>>> # DISABLE_DOCTEST
>>> from wbia.annotmatch_funcs import *  # NOQA
>>> import wbia
>>> ibs = wbia.opendb('testdb2')
>>> aid1_list = ibs.get_valid_aids()
>>> eager = True
>>> nInput = None
>>> num_annot_reviewed_list = get_annot_num_reviewed_matching_aids(ibs, aid_list, eager, nInput)
>>> result = str(num_annot_reviewed_list)
>>> print(result)

wbia.annotmatch_funcs.get_annot_pair_is_reviewed(ibs, aid1_list, aid2_list)[source]

Parameters

aid1_list (list) –
aid2_list (list) –

Returns

annotmatch_reviewed_list

Return type

list

CommandLine:: python -m wbia.annotmatch_funcs –test-get_annot_pair_is_reviewed

Example

>>> # DISABLE_DOCTEST
>>> from wbia.annotmatch_funcs import *  # NOQA
>>> import wbia
>>> ibs = wbia.opendb('testdb2')
>>> aid_list = ibs.get_valid_aids()
>>> pairs = list(ut.product(aid_list, aid_list))
>>> aid1_list = ut.get_list_column(pairs, 0)
>>> aid2_list = ut.get_list_column(pairs, 1)
>>> annotmatch_reviewed_list = get_annot_pair_is_reviewed(ibs, aid1_list, aid2_list)
>>> reviewed_pairs = ut.compress(pairs, annotmatch_reviewed_list)
>>> result = len(reviewed_pairs)
>>> print(result)
104

wbia.annotmatch_funcs.get_annot_pair_timedelta(ibs, aid_list1, aid_list2)[source]

Parameters

ibs (IBEISController) – wbia controller object
aid_list1 (int) – list of annotation ids
aid_list2 (int) – list of annotation ids

Returns

timedelta_list

Return type

list

CommandLine:: python -m wbia.annotmatch_funcs –test-get_annot_pair_timedelta

Example

>>> # ENABLE_DOCTEST
>>> from wbia.annotmatch_funcs import *  # NOQA
>>> import wbia
>>> ibs = wbia.opendb('PZ_MTEST')
>>> aid_list = ibs.get_valid_aids(hasgt=True)
>>> unixtimes = ibs.get_annot_image_unixtimes_asfloat(aid_list)
>>> aid_list = ut.compress(aid_list, ~np.isnan(unixtimes))
>>> gt_aids_list = ibs.get_annot_groundtruth(aid_list, daid_list=aid_list)
>>> flags = np.array(list(map(len, gt_aids_list))) > 0
>>> aid_list1 = ut.compress(aid_list, flags)[0:5]
>>> aid_list2 = ut.take_column(gt_aids_list, 0)[0:5]
>>> timedelta_list = ibs.get_annot_pair_timedelta(aid_list1, aid_list2)
>>> result = ut.repr2(timedelta_list, precision=1)
>>> print(result)
np.array([7.6e+07, 7.6e+07, 2.4e+06, 2.0e+08, 9.7e+07])

wbia.annotmatch_funcs.get_annot_reviewed_matching_aids(ibs, aid_list, eager=True, nInput=None)[source]: Returns a list of the aids that were reviewed as candidate matches to the input aid

wbia.annotmatch_funcs.get_annotedge_timedelta(ibs, edges)[source]

wbia.annotmatch_funcs.get_annotedge_viewdist(ibs, edges)[source]

wbia.annotmatch_funcs.get_annotmatch_aids(ibs, annotmatch_rowid_list)[source]

wbia.annotmatch_funcs.get_annotmatch_rowid_from_edges(ibs, aid_pairs)[source]: Edegs are undirected

wbia.annotmatch_funcs.get_annotmatch_rowid_from_undirected_superkey(ibs, aids1, aids2)[source]

wbia.annotmatch_funcs.get_annotmatch_rowids_between(ibs, aids1, aids2, method=None)[source]

Example

>>> # ENABLE_DOCTEST
>>> from wbia.annotmatch_funcs import *  # NOQA
>>> import wbia
>>> ibs = wbia.opendb('PZ_MTEST')
>>> aids1 = aids2 = [1, 2, 3, 4, 5, 6]
>>> rowids_between = ibs.get_annotmatch_rowids_between
>>> ams1 = sorted(rowids_between(aids1, aids2, method=1))
>>> ams2 = sorted(rowids_between(aids1, aids2, method=2))
>>> assert len(ub.find_duplicates(ams1)) == 0
>>> assert len(ub.find_duplicates(ams2)) == 0
>>> assert sorted(ams2) == sorted(ams1)

wbia.annotmatch_funcs.get_annotmatch_rowids_between_groups(ibs, aids1_list, aids2_list)[source]

wbia.annotmatch_funcs.get_annotmatch_rowids_from_aid(ibs, aid_list, eager=True, nInput=None, force_method=None)[source]

Undirected version Returns a list of the aids that were reviewed as candidate matches to the input aid aid_list = ibs.get_valid_aids()

CommandLine:: python -m wbia.annotmatch_funcs –exec-get_annotmatch_rowids_from_aid python -m wbia.annotmatch_funcs –exec-get_annotmatch_rowids_from_aid:1 –show

Example

>>> # DISABLE_DOCTEST
>>> from wbia.annotmatch_funcs import *  # NOQA
>>> import wbia
>>> ibs = wbia.opendb(defaultdb='testdb1')
>>> ut.exec_funckw(ibs.get_annotmatch_rowids_from_aid, globals())
>>> aid_list = ibs.get_valid_aids()[0:4]
>>> annotmatch_rowid_list = ibs.get_annotmatch_rowids_from_aid(aid_list,
>>>                                                        eager, nInput)
>>> result = ('annotmatch_rowid_list = %s' % (str(annotmatch_rowid_list),))
>>> print(result)

wbia.annotmatch_funcs.get_annotmatch_rowids_from_aid1(ibs, aid1_list, eager=True, nInput=None)[source]

TODO autogenerate

Returns a list of the aids that were reviewed as candidate matches to the input aid

aid_list = ibs.get_valid_aids() :param ibs: wbia controller object :type ibs: IBEISController :param aid1_list: :type aid1_list: list :param eager: (default = True) :type eager: bool :param nInput: (default = None) :type nInput: None

Returns: annotmatch_rowid_list
Return type: list

wbia.annotmatch_funcs.get_annotmatch_rowids_from_aid2(ibs, aid2_list, eager=True, nInput=None, force_method=None)[source]: # This one is slow because aid2 is the second part of the index Returns a list of the aids that were reviewed as candidate matches to the input aid

wbia.annotmatch_funcs.get_annotmatch_rowids_in_cliques(ibs, aids_list)[source]

wbia.annotmatch_funcs.get_match_text(ibs, aid1, aid2)[source]

wbia.annotmatch_funcs.get_match_truth(ibs, aid1, aid2)[source]

wbia.annotmatch_funcs.get_match_truths(ibs, aids1, aids2)[source]

Uses NIDS to verify truth. TODO: rectify with annotmatch table

Parameters

ibs (IBEISController) – wbia controller object
aids1 (list) –
aids2 (list) –

Returns

truth_codes - see: wbia.constants.EVIDENCE_DECISION.INT_TO_CODE for code definitions

Return type

list[int]

CommandLine:: python -m wbia.other.ibsfuncs –test-get_match_truths

Example

>>> # ENABLE_DOCTEST
>>> from wbia.annotmatch_funcs import *  # NOQA
>>> import wbia
>>> ibs = wbia.opendb('testdb1')
>>> aids1 = ibs.get_valid_aids()
>>> aids2 = ut.list_roll(ibs.get_valid_aids(), -1)
>>> truth_codes = get_match_truths(ibs, aids1, aids2)
>>> print('truth_codes = %s' % ut.repr2(truth_codes))
>>> target = np.array([3, 1, 3, 3, 1, 0, 0, 3, 3, 3, 3, 0, 3])
>>> assert np.all(truth_codes == target)

wbia.annotmatch_funcs.set_annot_pair_as_negative_match(ibs, aid1, aid2, dryrun=False, on_nontrivial_split=None, logger_=None)[source]

TODO: ELEVATE THIS FUNCTION

Parameters

ibs (IBEISController) – wbia controller object
aid1 (int) – annotation id
aid2 (int) – annotation id
dryrun (bool) –

CommandLine:: python -m wbia.annotmatch_funcs –test-set_annot_pair_as_negative_match

Example

>>> # ENABLE_DOCTEST
>>> from wbia.annotmatch_funcs import *  # NOQA
>>> import wbia
>>> ibs = wbia.opendb('testdb1')
>>> aid1, aid2 = ibs.get_valid_aids()[0:2]
>>> dryrun = True
>>> result = set_annot_pair_as_negative_match(ibs, aid1, aid2, dryrun)
>>> print(result)
>>> ibs.delete_names(ibs.get_valid_nids()[-1])  # clean up

wbia.annotmatch_funcs.set_annot_pair_as_positive_match(ibs, aid1, aid2, dryrun=False, on_nontrivial_merge=None, logger_=None)[source]

Safe way to perform links. Errors on invalid operations.

TODO: ELEVATE THIS FUNCTION Change into make_task_set_annot_pair_as_positive_match and it returns what needs to be done.

Need to test several cases:: uknown, unknown knownA, knownA knownB, knownA unknown, knownA knownA, unknown

Parameters

ibs (IBEISController) – wbia controller object
aid1 (int) – query annotation id
aid2 (int) – matching annotation id

CommandLine:: python -m wbia.annotmatch_funcs –test-set_annot_pair_as_positive_match

Example

>>> # ENABLE_DOCTEST
>>> from wbia.annotmatch_funcs import *  # NOQA
>>> import wbia
>>> ibs = wbia.opendb('testdb1')
>>> aid1, aid2 = ibs.get_valid_aids()[0:2]
>>> dryrun = True
>>> status = set_annot_pair_as_positive_match(ibs, aid1, aid2, dryrun)
>>> print(status)

wbia.annotmatch_funcs.set_annot_pair_as_reviewed(ibs, aid1, aid2)[source]: denote that this match was reviewed and keep whatever status it is given

wbia.annots

class wbia.annots.AnnotGroups(annots_list, ibs)[source]

Bases: utool.util_dev.NiceRepr

Effciently handle operations on multiple groups of annotations

property age_months_est_max

property age_months_est_min

property aid

property aids

property all_tags

property annotmatch_tags

property bbox_area

property bboxes

property case_tags

property contact_aids

property detect_confidence

property encounter_text

property exemplar_flags

property gids

property groundfalse

property groundtruth

property has_groundtruth

property has_reviewed_matching_aids

property hashid_semantic_uuid

property hashid_uuid

property hashid_visual_uuid

property image_contributor_tag

property image_datetime_str

property image_gps

property image_gps2

property image_set_texts

property image_unixtimes_asfloat

property image_uuids

property images

property imgset_uuids

property imgsetids

property match_tags: returns pairwise tags within the annotation group

property multiple

property name_uuids

property names

property nids

property notes

property num_contact_aids

property num_groundtruth

property num_reviewed_matching_aids

property occurrence_text

property otherimage_aids

property parent_aid

property primary_imageset

property qualities

property quality_texts

property reviewed

property reviewed_matching_aids

rrr(verbose=True, reload_module=True): special class reloading function This function is often injected as rrr of classes

property semantic_uuids

property sex

property sex_texts

property species

property species_rowids

property species_texts

property species_uuids

property static_encounter

property thetas

property uuids

property verts

property viewpoint_code

property viewpoint_int

property visual_uuids

property yaw_texts

property yaws

property yaws_asfloat

class wbia.annots.AnnotMatches(rowids, ibs, config=None, caching=False, asarray=False)[source]

Bases: wbia._wbia_object.ObjectList1D

Represents a group of annotations. Efficiently accesses properties from a database using lazy evaluation.

CommandLine:: python -m wbia.annots Annots

Example

>>> # ENABLE_DOCTEST
>>> from wbia.annots import *  # NOQA
>>> import wbia
>>> ibs = wbia.opendb(defaultdb='testdb1')
>>> aids = ibs.get_valid_aids()
>>> annots = Annots(aids, ibs)
>>> ams = annots.get_am_rowids()
>>> matches = self = ibs.matches()
>>> ed1 = matches.evidence_decision
>>> md2 = matches.meta_decision
>>> table = ibs.db.get_table_as_pandas('annotmatch')
>>> assert len(table) == len(matches)

property aid1

property aid2

property case_tags

property confidence

property confidence_code

property count

property edges

property evidence_decision

property evidence_decision_code

property meta_decision

property meta_decision_code

property posixtime_modified

property reviewer

rrr(): Dynamic module reloading

property tag_text

class wbia.annots.Annots(rowids, ibs, config=None, caching=False, asarray=False)[source]

Bases: wbia._wbia_object.ObjectList1D

Represents a group of annotations. Efficiently accesses properties from a database using lazy evaluation.

CommandLine:: python -m wbia.annots Annots

Example

>>> # ENABLE_DOCTEST
>>> from wbia.annots import *  # NOQA
>>> import wbia
>>> ibs = wbia.opendb(defaultdb='testdb1')
>>> aids = ibs.get_valid_aids()
>>> a = self = annots = Annots(aids, ibs)
>>> a.preload('vecs', 'kpts', 'nids')
>>> print(Annots.mro())
>>> print(ut.depth_profile(a.vecs))
>>> print(a)

Example

>>> # ENABLE_DOCTEST
>>> from wbia.annots import *  # NOQA
>>> import wbia
>>> ibs = wbia.opendb(defaultdb='testdb1')
>>> aids = ibs.get_valid_aids()
>>> a = self = annots = Annots(aids, ibs)
>>> a.preload('vecs', 'kpts', 'nids')
>>> a.disconnect()
>>> assert 'vecs' in a._internal_attrs.keys()
>>> assert a._ibs is None
>>> ut.assert_raises(KeyError, a._get_num_feats)
>>> a._ibs = ibs
>>> assert len(a._get_num_feats()) > 0

property age_months_est_max

property age_months_est_min

property aid

property aids

property all_tags

property annotmatch_tags

append_tags(tags)[source]

property bbox_area

property bboxes

property case_tags

property chip_dlensqrd

property chip_fpath

property chip_size

property chip_sizes

property chip_thumbpath

property chip_thumbtup

property chips

property contact_aids

property detect_confidence

property encounter_text

property exemplar_flags

property feat_rowids

property featweight_rowids

property fgweights

property fgweights_subset

get_aidpairs()[source]

get_am_aidpairs()[source]

get_am_rowids(internal=True)[source]: if internal is True returns am rowids only between annotations in this Annots object, otherwise returns any am rowid that contains any aid in this Annots object.

get_am_rowids_and_pairs()[source]

get_name_image_closure()[source]

get_speeds()[source]

get_stats(**kwargs)[source]

property gids

property gps

property groundfalse

property groundtruth

group2(by)[source]: self = annots by = annots.static_encounter encounters = annots.group2(annots.static_encounter)

property has_groundtruth

property has_reviewed_matching_aids

property hashid_semantic_uuid

property hashid_uuid

property hashid_visual_uuid

property hog_hog

property hog_img

property image_contributor_tag

property image_datetime_str

property image_gps

property image_gps2

property image_set_texts

property image_unixtimes_asfloat

property image_uuids

property imgset_uuids

property imgsetids

property kpts

property kpts_distinctiveness

matches(internal=True)[source]

property multiple

property name

property name_uuids

property names

property nid

property nids

property notes

property num_contact_aids

property num_feats

property num_groundtruth

property num_reviewed_matching_aids

property occurrence_text

property otherimage_aids

property parent_aid

property primary_imageset

print_stats(**kwargs)[source]

property probchip_img

property qual

property qualities

property quality_texts

property rchip

property rchip_fpath

remove_tags(tags)[source]

property reviewed

property reviewed_matching_aids

rrr(): Dynamic module reloading

property semantic_uuids

property sex

property sex_texts

show(*args, **kwargs)[source]

property species

property species_rowids

property species_texts

property species_uuids

property static_encounter

property thetas

property time

property unary_tags

property uuids

property vecs

property vecs_cache

property vecs_subset

property verts

property viewpoint_code

property viewpoint_int

property visual_uuids

property yaw

property yaw_texts

property yaws

property yaws_asfloat

wbia.annots.annots(ibs, aids=None, uuids=None, **kwargs)[source]: Makes an Annots object

wbia.annots.matches(ibs, ams=None, edges=None, uuid_edges=None, **kwargs)[source]: Makes an Annots object

wbia.constants

It is better to use constant variables instead of hoping you spell the same string correctly every time you use it. (Also it makes it much easier if a string name changes)

class wbia.constants.CONFIDENCE[source]

Bases: object

ABSOLUTELY_SURE = 4

class CODE

Bases: object

ABSOLUTELY_SURE = 'absolutely_sure'

GUESSING = 'guessing'

NOT_SURE = 'not_sure'

PRETTY_SURE = 'pretty_sure'

UNKNOWN = 'unspecified'

CODE_TO_INT = {'absolutely_sure': 4, 'guessing': 1, 'not_sure': 2, 'pretty_sure': 3, 'unspecified': None}

CODE_TO_NICE = {'absolutely_sure': 'Doubtless', 'guessing': 'Guessing', 'not_sure': 'Unsure', 'pretty_sure': 'Sure', 'unspecified': 'Unspecified'}

GUESSING = 1

INT_TO_CODE = OrderedDict([(4, 'absolutely_sure'), (3, 'pretty_sure'), (2, 'not_sure'), (1, 'guessing'), (None, 'unspecified')])

INT_TO_NICE = OrderedDict([(4, 'Doubtless'), (3, 'Sure'), (2, 'Unsure'), (1, 'Guessing'), (None, 'Unspecified')])

class NICE

Bases: object

ABSOLUTELY_SURE = 'Doubtless'

GUESSING = 'Guessing'

NOT_SURE = 'Unsure'

PRETTY_SURE = 'Sure'

UNKNOWN = 'Unspecified'

NICE_TO_CODE = {'Doubtless': 'absolutely_sure', 'Guessing': 'guessing', 'Sure': 'pretty_sure', 'Unspecified': 'unspecified', 'Unsure': 'not_sure'}

NICE_TO_INT = {'Doubtless': 4, 'Guessing': 1, 'Sure': 3, 'Unspecified': None, 'Unsure': 2}

NOT_SURE = 2

PRETTY_SURE = 3

UNKNOWN = None

class wbia.constants.EVIDENCE_DECISION[source]

Bases: object

TODO: change to EVIDENCE_DECISION / VISUAL_DECISION Enumerated types of review codes and texts

Notes

Unreviewed: Not comparared yet. nomatch: Visually comparable and the different match: Visually comparable and the same notcomp: Not comparable means it is actually impossible to determine. unknown: means that it was reviewed, but we just can’t figure it out.

class CODE

Bases: object

INCOMPARABLE = 'notcomp'

NEGATIVE = 'nomatch'

POSITIVE = 'match'

UNKNOWN = 'unknown'

UNREVIEWED = 'unreviewed'

CODE_TO_INT = {'match': 1, 'nomatch': 0, 'notcomp': 2, 'unknown': 3, 'unreviewed': None}

CODE_TO_NICE = {'match': 'Positive', 'nomatch': 'Negative', 'notcomp': 'Incomparable', 'unknown': 'Unknown', 'unreviewed': 'Unreviewed'}

INCOMPARABLE = 2

INT_TO_CODE = OrderedDict([(1, 'match'), (0, 'nomatch'), (2, 'notcomp'), (3, 'unknown'), (None, 'unreviewed')])

INT_TO_NICE = OrderedDict([(1, 'Positive'), (0, 'Negative'), (2, 'Incomparable'), (3, 'Unknown'), (None, 'Unreviewed')])

MATCH_CODE = {'match': 1, 'nomatch': 0, 'notcomp': 2, 'unknown': 3, 'unreviewed': None}

NEGATIVE = 0

class NICE

Bases: object

INCOMPARABLE = 'Incomparable'

NEGATIVE = 'Negative'

POSITIVE = 'Positive'

UNKNOWN = 'Unknown'

UNREVIEWED = 'Unreviewed'

NICE_TO_CODE = {'Incomparable': 'notcomp', 'Negative': 'nomatch', 'Positive': 'match', 'Unknown': 'unknown', 'Unreviewed': 'unreviewed'}

NICE_TO_INT = {'Incomparable': 2, 'Negative': 0, 'Positive': 1, 'Unknown': 3, 'Unreviewed': None}

POSITIVE = 1

UNKNOWN = 3

UNREVIEWED = None

class wbia.constants.META_DECISION[source]

Bases: object

Enumerated types of review codes and texts

Notes

unreviewed: we dont have a meta decision same: we know this is the same animal through non-visual means diff: we know this is the different animal through non-visual means

Example

>>> # ENABLE_DOCTEST
>>> from wbia.constants import *  # NOQA
>>> assert hasattr(META_DECISION, 'CODE')
>>> assert hasattr(META_DECISION, 'NICE')
>>> code1 = META_DECISION.INT_TO_CODE[META_DECISION.NULL]
>>> code2 = META_DECISION.CODE.NULL
>>> assert code1 == code2
>>> nice1 = META_DECISION.INT_TO_NICE[META_DECISION.NULL]
>>> nice2 = META_DECISION.NICE.NULL
>>> assert nice1 == nice2

class CODE

Bases: object

DIFF = 'diff'

NULL = 'null'

SAME = 'same'

CODE_TO_INT = {'diff': 0, 'null': None, 'same': 1}

CODE_TO_NICE = {'diff': 'Different', 'null': 'NULL', 'same': 'Same'}

DIFF = 0

INT_TO_CODE = OrderedDict([(None, 'null'), (0, 'diff'), (1, 'same')])

INT_TO_NICE = OrderedDict([(None, 'NULL'), (0, 'Different'), (1, 'Same')])

class NICE

Bases: object

DIFF = 'Different'

NULL = 'NULL'

SAME = 'Same'

NICE_TO_CODE = {'Different': 'diff', 'NULL': 'null', 'Same': 'same'}

NICE_TO_INT = {'Different': 0, 'NULL': None, 'Same': 1}

NULL = None

SAME = 1

class wbia.constants.PATH_NAMES[source]

Bases: object

Path names for internal IBEIS database

backups = '_ibeis_backups'

bigcache = 'qres_bigcache_new'

cache = '_ibeis_cache'

chips = 'chips'

detectimg = 'detectimg'

distinctdir = 'distinctiveness_model'

figures = 'figures'

flann = 'flann'

images = 'images'

logs = '_ibeis_logs'

nets = 'nets'

qres = 'qres_new'

scorenormdir = 'scorenorm'

smartpatrol = 'smart_patrol'

sqldb = '_ibeis_database.sqlite3'

sqlstaging = '_ibeis_staging.sqlite3'

thumbs = 'thumbs'

trashdir = 'trashed_images'

trees = 'trees'

uploads = 'uploads'

class wbia.constants.QUAL[source]

Bases: object

class CODE

Bases: object

EXCELLENT = 'excellent'

GOOD = 'good'

JUNK = 'junk'

OK = 'ok'

POOR = 'poor'

UNKNOWN = 'unspecified'

CODE_TO_INT = {'excellent': 5, 'good': 4, 'junk': 1, 'ok': 3, 'poor': 2, 'unspecified': None}

CODE_TO_NICE = {'excellent': 'Excellent', 'good': 'Good', 'junk': 'Junk', 'ok': 'OK', 'poor': 'Poor', 'unspecified': 'Unspecified'}

EXCELLENT = 5

GOOD = 4

INT_TO_CODE = OrderedDict([(5, 'excellent'), (4, 'good'), (3, 'ok'), (2, 'poor'), (1, 'junk'), (None, 'unspecified')])

INT_TO_NICE = OrderedDict([(5, 'Excellent'), (4, 'Good'), (3, 'OK'), (2, 'Poor'), (1, 'Junk'), (None, 'Unspecified')])

JUNK = 1

class NICE

Bases: object

EXCELLENT = 'Excellent'

GOOD = 'Good'

JUNK = 'Junk'

OK = 'OK'

POOR = 'Poor'

UNKNOWN = 'Unspecified'

NICE_TO_CODE = {'Excellent': 'excellent', 'Good': 'good', 'Junk': 'junk', 'OK': 'ok', 'Poor': 'poor', 'Unspecified': 'unspecified'}

NICE_TO_INT = {'Excellent': 5, 'Good': 4, 'Junk': 1, 'OK': 3, 'Poor': 2, 'Unspecified': None}

OK = 3

POOR = 2

UNKNOWN = None

class wbia.constants.REL_PATHS[source]

Bases: object

all paths are relative to ibs.dbdir

backups = '_ibsdb/_ibeis_backups'

bigcache = '_ibsdb/_ibeis_cache/qres_bigcache_new'

cache = '_ibsdb/_ibeis_cache'

chips = '_ibsdb/_ibeis_cache/chips'

distinctdir = '_ibsdb/_ibeis_cache/distinctiveness_model'

figures = '_ibsdb/figures'

flann = '_ibsdb/_ibeis_cache/flann'

images = '_ibsdb/images'

logs = '_ibsdb/_ibeis_logs'

nets = '_ibsdb/nets'

qres = '_ibsdb/_ibeis_cache/qres_new'

thumbs = '_ibsdb/_ibeis_cache/thumbs'

trashdir = 'trashed_images'

trees = '_ibsdb/trees'

uploads = '_ibsdb/uploads'

class wbia.constants.TEST_SPECIES[source]

Bases: object

BEAR_POLAR = 'bear_polar'

GIR_MASAI = 'giraffe_masai'

ZEB_GREVY = 'zebra_grevys'

ZEB_PLAIN = 'zebra_plains'

class wbia.constants.VIEW[source]

Bases: object

categorical viewpoint using the faces of a Rhombicuboctahedron

References

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

B = 7

BL = 6

BR = 8

class CODE

Bases: object

B = 'back'

BL = 'backleft'

BR = 'backright'

D = 'down'

DB = 'downback'

DBL = 'downbackleft'

DBR = 'downbackright'

DF = 'downfront'

DFL = 'downfrontleft'

DFR = 'downfrontright'

DL = 'downleft'

DR = 'downright'

F = 'front'

FL = 'frontleft'

FR = 'frontright'

L = 'left'

R = 'right'

U = 'up'

UB = 'upback'

UBL = 'upbackleft'

UBR = 'upbackright'

UF = 'upfront'

UFL = 'upfrontleft'

UFR = 'upfrontright'

UL = 'upleft'

UNKNOWN = 'unknown'

UR = 'upright'

CODE_TO_INT = {'back': 7, 'backleft': 6, 'backright': 8, 'down': 18, 'downback': 20, 'downbackleft': 25, 'downbackright': 26, 'downfront': 19, 'downfrontleft': 23, 'downfrontright': 24, 'downleft': 21, 'downright': 22, 'front': 3, 'frontleft': 4, 'frontright': 2, 'left': 5, 'right': 1, 'unknown': None, 'up': 9, 'upback': 11, 'upbackleft': 16, 'upbackright': 17, 'upfront': 10, 'upfrontleft': 14, 'upfrontright': 15, 'upleft': 12, 'upright': 13}

CODE_TO_NICE = {'back': 'Back', 'backleft': 'Back-Left', 'backright': 'Back-Right', 'down': 'Down', 'downback': 'Down-Back', 'downbackleft': 'Down-Back-Left', 'downbackright': 'Down-Back-Right', 'downfront': 'Down-Front', 'downfrontleft': 'Down-Front-Left', 'downfrontright': 'Down-Front-Right', 'downleft': 'Down-Left', 'downright': 'Down-Right', 'front': 'Front', 'frontleft': 'Front-Left', 'frontright': 'Front-Right', 'left': 'Left', 'right': 'Right', 'unknown': 'Unknown', 'up': 'Up', 'upback': 'Up-Back', 'upbackleft': 'Up-Back-Left', 'upbackright': 'Up-Back-Right', 'upfront': 'Up-Front', 'upfrontleft': 'Up-Front-Left', 'upfrontright': 'Up-Front-Right', 'upleft': 'Up-Left', 'upright': 'Up-Right'}

D = 18

DB = 20

DBL = 25

DBR = 26

DF = 19

DFL = 23

DFR = 24

DIST = {(7, 7): 0, (6, 6): 0, (8, 8): 0, (18, 18): 0, (20, 20): 0, (25, 25): 0, (26, 26): 0, (19, 19): 0, (23, 23): 0, (24, 24): 0, (21, 21): 0, (22, 22): 0, (3, 3): 0, (4, 4): 0, (2, 2): 0, (5, 5): 0, (1, 1): 0, (9, 9): 0, (11, 11): 0, (16, 16): 0, (17, 17): 0, (10, 10): 0, (14, 14): 0, (15, 15): 0, (12, 12): 0, (13, 13): 0, (7, 6): 1, (7, 8): 1, (7, 20): 1, (7, 25): 1, (7, 26): 1, (7, 11): 1, (7, 16): 1, (7, 17): 1, (6, 25): 1, (6, 5): 1, (6, 16): 1, (8, 26): 1, (8, 1): 1, (8, 17): 1, (18, 20): 1, (18, 25): 1, (18, 26): 1, (18, 19): 1, (18, 23): 1, (18, 24): 1, (18, 21): 1, (18, 22): 1, (20, 25): 1, (20, 26): 1, (25, 21): 1, (25, 5): 1, (26, 22): 1, (26, 1): 1, (19, 23): 1, (19, 24): 1, (19, 3): 1, (23, 21): 1, (23, 3): 1, (23, 4): 1, (23, 5): 1, (24, 22): 1, (24, 3): 1, (24, 2): 1, (24, 1): 1, (21, 5): 1, (22, 1): 1, (3, 4): 1, (3, 2): 1, (3, 10): 1, (3, 14): 1, (3, 15): 1, (4, 5): 1, (4, 14): 1, (2, 1): 1, (2, 15): 1, (5, 16): 1, (5, 14): 1, (5, 12): 1, (1, 17): 1, (1, 15): 1, (1, 13): 1, (9, 11): 1, (9, 16): 1, (9, 17): 1, (9, 10): 1, (9, 14): 1, (9, 15): 1, (9, 12): 1, (9, 13): 1, (11, 16): 1, (11, 17): 1, (16, 12): 1, (17, 13): 1, (10, 14): 1, (10, 15): 1, (14, 12): 1, (15, 13): 1, (7, 18): 2, (7, 21): 2, (7, 22): 2, (7, 5): 2, (7, 1): 2, (7, 9): 2, (7, 12): 2, (7, 13): 2, (6, 8): 2, (6, 18): 2, (6, 20): 2, (6, 26): 2, (6, 23): 2, (6, 21): 2, (6, 4): 2, (6, 9): 2, (6, 11): 2, (6, 17): 2, (6, 14): 2, (6, 12): 2, (8, 18): 2, (8, 20): 2, (8, 25): 2, (8, 24): 2, (8, 22): 2, (8, 2): 2, (8, 9): 2, (8, 11): 2, (8, 16): 2, (8, 15): 2, (8, 13): 2, (18, 3): 2, (18, 4): 2, (18, 2): 2, (18, 5): 2, (18, 1): 2, (20, 19): 2, (20, 23): 2, (20, 24): 2, (20, 21): 2, (20, 22): 2, (20, 5): 2, (20, 1): 2, (20, 11): 2, (20, 16): 2, (20, 17): 2, (25, 26): 2, (25, 19): 2, (25, 23): 2, (25, 24): 2, (25, 22): 2, (25, 4): 2, (25, 11): 2, (25, 16): 2, (25, 17): 2, (25, 14): 2, (25, 12): 2, (26, 19): 2, (26, 23): 2, (26, 24): 2, (26, 21): 2, (26, 2): 2, (26, 11): 2, (26, 16): 2, (26, 17): 2, (26, 15): 2, (26, 13): 2, (19, 21): 2, (19, 22): 2, (19, 4): 2, (19, 2): 2, (19, 5): 2, (19, 1): 2, (19, 10): 2, (19, 14): 2, (19, 15): 2, (23, 24): 2, (23, 22): 2, (23, 2): 2, (23, 16): 2, (23, 10): 2, (23, 14): 2, (23, 15): 2, (23, 12): 2, (24, 21): 2, (24, 4): 2, (24, 17): 2, (24, 10): 2, (24, 14): 2, (24, 15): 2, (24, 13): 2, (21, 22): 2, (21, 3): 2, (21, 4): 2, (21, 16): 2, (21, 14): 2, (21, 12): 2, (22, 3): 2, (22, 2): 2, (22, 17): 2, (22, 15): 2, (22, 13): 2, (3, 5): 2, (3, 1): 2, (3, 9): 2, (3, 12): 2, (3, 13): 2, (4, 2): 2, (4, 9): 2, (4, 16): 2, (4, 10): 2, (4, 15): 2, (4, 12): 2, (2, 9): 2, (2, 17): 2, (2, 10): 2, (2, 14): 2, (2, 13): 2, (5, 9): 2, (5, 11): 2, (5, 10): 2, (1, 9): 2, (1, 11): 2, (1, 10): 2, (11, 10): 2, (11, 14): 2, (11, 15): 2, (11, 12): 2, (11, 13): 2, (16, 17): 2, (16, 10): 2, (16, 14): 2, (16, 15): 2, (16, 13): 2, (17, 10): 2, (17, 14): 2, (17, 15): 2, (17, 12): 2, (10, 12): 2, (10, 13): 2, (14, 15): 2, (14, 13): 2, (15, 12): 2, (12, 13): 2, (7, 19): 3, (7, 23): 3, (7, 24): 3, (7, 4): 3, (7, 2): 3, (7, 10): 3, (7, 14): 3, (7, 15): 3, (6, 19): 3, (6, 24): 3, (6, 22): 3, (6, 3): 3, (6, 1): 3, (6, 10): 3, (6, 15): 3, (6, 13): 3, (8, 19): 3, (8, 23): 3, (8, 21): 3, (8, 3): 3, (8, 5): 3, (8, 10): 3, (8, 14): 3, (8, 12): 3, (18, 11): 3, (18, 16): 3, (18, 17): 3, (18, 10): 3, (18, 14): 3, (18, 15): 3, (18, 12): 3, (18, 13): 3, (20, 3): 3, (20, 4): 3, (20, 2): 3, (20, 9): 3, (20, 14): 3, (20, 15): 3, (20, 12): 3, (20, 13): 3, (25, 3): 3, (25, 2): 3, (25, 1): 3, (25, 9): 3, (25, 10): 3, (25, 13): 3, (26, 3): 3, (26, 4): 3, (26, 5): 3, (26, 9): 3, (26, 10): 3, (26, 12): 3, (19, 9): 3, (19, 16): 3, (19, 17): 3, (19, 12): 3, (19, 13): 3, (23, 1): 3, (23, 9): 3, (23, 11): 3, (23, 13): 3, (24, 5): 3, (24, 9): 3, (24, 11): 3, (24, 12): 3, (21, 2): 3, (21, 1): 3, (21, 9): 3, (21, 11): 3, (21, 17): 3, (21, 10): 3, (21, 15): 3, (22, 4): 3, (22, 5): 3, (22, 9): 3, (22, 11): 3, (22, 16): 3, (22, 10): 3, (22, 14): 3, (3, 11): 3, (3, 16): 3, (3, 17): 3, (4, 1): 3, (4, 11): 3, (4, 17): 3, (4, 13): 3, (2, 5): 3, (2, 11): 3, (2, 16): 3, (2, 12): 3, (5, 17): 3, (5, 15): 3, (5, 13): 3, (1, 16): 3, (1, 14): 3, (1, 12): 3, (7, 3): 4, (6, 2): 4, (8, 4): 4, (18, 9): 4, (20, 10): 4, (25, 15): 4, (26, 14): 4, (19, 11): 4, (23, 17): 4, (24, 16): 4, (21, 13): 4, (22, 12): 4, (5, 1): 4, (7, None): None, (6, None): None, (8, None): None, (18, None): None, (20, None): None, (25, None): None, (26, None): None, (19, None): None, (23, None): None, (24, None): None, (21, None): None, (22, None): None, (3, None): None, (4, None): None, (2, None): None, (5, None): None, (1, None): None, (9, None): None, (11, None): None, (16, None): None, (17, None): None, (10, None): None, (14, None): None, (15, None): None, (12, None): None, (None, 7): None, (None, 6): None, (None, 8): None, (None, 18): None, (None, 20): None, (None, 25): None, (None, 26): None, (None, 19): None, (None, 23): None, (None, 24): None, (None, 21): None, (None, 22): None, (None, 3): None, (None, 4): None, (None, 2): None, (None, 5): None, (None, 1): None, (None, 9): None, (None, 11): None, (None, 16): None, (None, 17): None, (None, 10): None, (None, 14): None, (None, 15): None, (None, 12): None, (None, 13): None, (13, None): None, (None, None): None, (6, 7): 1, (8, 7): 1, (20, 7): 1, (25, 7): 1, (26, 7): 1, (11, 7): 1, (16, 7): 1, (17, 7): 1, (25, 6): 1, (5, 6): 1, (16, 6): 1, (26, 8): 1, (1, 8): 1, (17, 8): 1, (20, 18): 1, (25, 18): 1, (26, 18): 1, (19, 18): 1, (23, 18): 1, (24, 18): 1, (21, 18): 1, (22, 18): 1, (25, 20): 1, (26, 20): 1, (21, 25): 1, (5, 25): 1, (22, 26): 1, (1, 26): 1, (23, 19): 1, (24, 19): 1, (3, 19): 1, (21, 23): 1, (3, 23): 1, (4, 23): 1, (5, 23): 1, (22, 24): 1, (3, 24): 1, (2, 24): 1, (1, 24): 1, (5, 21): 1, (1, 22): 1, (4, 3): 1, (2, 3): 1, (10, 3): 1, (14, 3): 1, (15, 3): 1, (5, 4): 1, (14, 4): 1, (1, 2): 1, (15, 2): 1, (16, 5): 1, (14, 5): 1, (12, 5): 1, (17, 1): 1, (15, 1): 1, (13, 1): 1, (11, 9): 1, (16, 9): 1, (17, 9): 1, (10, 9): 1, (14, 9): 1, (15, 9): 1, (12, 9): 1, (13, 9): 1, (16, 11): 1, (17, 11): 1, (12, 16): 1, (13, 17): 1, (14, 10): 1, (15, 10): 1, (12, 14): 1, (13, 15): 1, (18, 7): 2, (21, 7): 2, (22, 7): 2, (5, 7): 2, (1, 7): 2, (9, 7): 2, (12, 7): 2, (13, 7): 2, (8, 6): 2, (18, 6): 2, (20, 6): 2, (26, 6): 2, (23, 6): 2, (21, 6): 2, (4, 6): 2, (9, 6): 2, (11, 6): 2, (17, 6): 2, (14, 6): 2, (12, 6): 2, (18, 8): 2, (20, 8): 2, (25, 8): 2, (24, 8): 2, (22, 8): 2, (2, 8): 2, (9, 8): 2, (11, 8): 2, (16, 8): 2, (15, 8): 2, (13, 8): 2, (3, 18): 2, (4, 18): 2, (2, 18): 2, (5, 18): 2, (1, 18): 2, (19, 20): 2, (23, 20): 2, (24, 20): 2, (21, 20): 2, (22, 20): 2, (5, 20): 2, (1, 20): 2, (11, 20): 2, (16, 20): 2, (17, 20): 2, (26, 25): 2, (19, 25): 2, (23, 25): 2, (24, 25): 2, (22, 25): 2, (4, 25): 2, (11, 25): 2, (16, 25): 2, (17, 25): 2, (14, 25): 2, (12, 25): 2, (19, 26): 2, (23, 26): 2, (24, 26): 2, (21, 26): 2, (2, 26): 2, (11, 26): 2, (16, 26): 2, (17, 26): 2, (15, 26): 2, (13, 26): 2, (21, 19): 2, (22, 19): 2, (4, 19): 2, (2, 19): 2, (5, 19): 2, (1, 19): 2, (10, 19): 2, (14, 19): 2, (15, 19): 2, (24, 23): 2, (22, 23): 2, (2, 23): 2, (16, 23): 2, (10, 23): 2, (14, 23): 2, (15, 23): 2, (12, 23): 2, (21, 24): 2, (4, 24): 2, (17, 24): 2, (10, 24): 2, (14, 24): 2, (15, 24): 2, (13, 24): 2, (22, 21): 2, (3, 21): 2, (4, 21): 2, (16, 21): 2, (14, 21): 2, (12, 21): 2, (3, 22): 2, (2, 22): 2, (17, 22): 2, (15, 22): 2, (13, 22): 2, (5, 3): 2, (1, 3): 2, (9, 3): 2, (12, 3): 2, (13, 3): 2, (2, 4): 2, (9, 4): 2, (16, 4): 2, (10, 4): 2, (15, 4): 2, (12, 4): 2, (9, 2): 2, (17, 2): 2, (10, 2): 2, (14, 2): 2, (13, 2): 2, (9, 5): 2, (11, 5): 2, (10, 5): 2, (9, 1): 2, (11, 1): 2, (10, 1): 2, (10, 11): 2, (14, 11): 2, (15, 11): 2, (12, 11): 2, (13, 11): 2, (17, 16): 2, (10, 16): 2, (14, 16): 2, (15, 16): 2, (13, 16): 2, (10, 17): 2, (14, 17): 2, (15, 17): 2, (12, 17): 2, (12, 10): 2, (13, 10): 2, (15, 14): 2, (13, 14): 2, (12, 15): 2, (13, 12): 2, (19, 7): 3, (23, 7): 3, (24, 7): 3, (4, 7): 3, (2, 7): 3, (10, 7): 3, (14, 7): 3, (15, 7): 3, (19, 6): 3, (24, 6): 3, (22, 6): 3, (3, 6): 3, (1, 6): 3, (10, 6): 3, (15, 6): 3, (13, 6): 3, (19, 8): 3, (23, 8): 3, (21, 8): 3, (3, 8): 3, (5, 8): 3, (10, 8): 3, (14, 8): 3, (12, 8): 3, (11, 18): 3, (16, 18): 3, (17, 18): 3, (10, 18): 3, (14, 18): 3, (15, 18): 3, (12, 18): 3, (13, 18): 3, (3, 20): 3, (4, 20): 3, (2, 20): 3, (9, 20): 3, (14, 20): 3, (15, 20): 3, (12, 20): 3, (13, 20): 3, (3, 25): 3, (2, 25): 3, (1, 25): 3, (9, 25): 3, (10, 25): 3, (13, 25): 3, (3, 26): 3, (4, 26): 3, (5, 26): 3, (9, 26): 3, (10, 26): 3, (12, 26): 3, (9, 19): 3, (16, 19): 3, (17, 19): 3, (12, 19): 3, (13, 19): 3, (1, 23): 3, (9, 23): 3, (11, 23): 3, (13, 23): 3, (5, 24): 3, (9, 24): 3, (11, 24): 3, (12, 24): 3, (2, 21): 3, (1, 21): 3, (9, 21): 3, (11, 21): 3, (17, 21): 3, (10, 21): 3, (15, 21): 3, (4, 22): 3, (5, 22): 3, (9, 22): 3, (11, 22): 3, (16, 22): 3, (10, 22): 3, (14, 22): 3, (11, 3): 3, (16, 3): 3, (17, 3): 3, (1, 4): 3, (11, 4): 3, (17, 4): 3, (13, 4): 3, (5, 2): 3, (11, 2): 3, (16, 2): 3, (12, 2): 3, (17, 5): 3, (15, 5): 3, (13, 5): 3, (16, 1): 3, (14, 1): 3, (12, 1): 3, (3, 7): 4, (2, 6): 4, (4, 8): 4, (9, 18): 4, (10, 20): 4, (15, 25): 4, (14, 26): 4, (11, 19): 4, (17, 23): 4, (16, 24): 4, (13, 21): 4, (12, 22): 4, (1, 5): 4}

DL = 21

DR = 22

F = 3

FL = 4

FR = 2

INT_TO_CODE = OrderedDict([(None, 'unknown'), (1, 'right'), (2, 'frontright'), (3, 'front'), (4, 'frontleft'), (5, 'left'), (6, 'backleft'), (7, 'back'), (8, 'backright'), (9, 'up'), (10, 'upfront'), (11, 'upback'), (12, 'upleft'), (13, 'upright'), (14, 'upfrontleft'), (15, 'upfrontright'), (16, 'upbackleft'), (17, 'upbackright'), (18, 'down'), (19, 'downfront'), (20, 'downback'), (21, 'downleft'), (22, 'downright'), (23, 'downfrontleft'), (24, 'downfrontright'), (25, 'downbackleft'), (26, 'downbackright')])

INT_TO_NICE = OrderedDict([(None, 'Unknown'), (1, 'Right'), (2, 'Front-Right'), (3, 'Front'), (4, 'Front-Left'), (5, 'Left'), (6, 'Back-Left'), (7, 'Back'), (8, 'Back-Right'), (9, 'Up'), (10, 'Up-Front'), (11, 'Up-Back'), (12, 'Up-Left'), (13, 'Up-Right'), (14, 'Up-Front-Left'), (15, 'Up-Front-Right'), (16, 'Up-Back-Left'), (17, 'Up-Back-Right'), (18, 'Down'), (19, 'Down-Front'), (20, 'Down-Back'), (21, 'Down-Left'), (22, 'Down-Right'), (23, 'Down-Front-Left'), (24, 'Down-Front-Right'), (25, 'Down-Back-Left'), (26, 'Down-Back-Right')])

L = 5

class NICE

Bases: object

B = 'Back'

BL = 'Back-Left'

BR = 'Back-Right'

D = 'Down'

DB = 'Down-Back'

DBL = 'Down-Back-Left'

DBR = 'Down-Back-Right'

DF = 'Down-Front'

DFL = 'Down-Front-Left'

DFR = 'Down-Front-Right'

DL = 'Down-Left'

DR = 'Down-Right'

F = 'Front'

FL = 'Front-Left'

FR = 'Front-Right'

L = 'Left'

R = 'Right'

U = 'Up'

UB = 'Up-Back'

UBL = 'Up-Back-Left'

UBR = 'Up-Back-Right'

UF = 'Up-Front'

UFL = 'Up-Front-Left'

UFR = 'Up-Front-Right'

UL = 'Up-Left'

UNKNOWN = 'Unknown'

UR = 'Up-Right'

NICE_TO_CODE = {'Back': 'back', 'Back-Left': 'backleft', 'Back-Right': 'backright', 'Down': 'down', 'Down-Back': 'downback', 'Down-Back-Left': 'downbackleft', 'Down-Back-Right': 'downbackright', 'Down-Front': 'downfront', 'Down-Front-Left': 'downfrontleft', 'Down-Front-Right': 'downfrontright', 'Down-Left': 'downleft', 'Down-Right': 'downright', 'Front': 'front', 'Front-Left': 'frontleft', 'Front-Right': 'frontright', 'Left': 'left', 'Right': 'right', 'Unknown': 'unknown', 'Up': 'up', 'Up-Back': 'upback', 'Up-Back-Left': 'upbackleft', 'Up-Back-Right': 'upbackright', 'Up-Front': 'upfront', 'Up-Front-Left': 'upfrontleft', 'Up-Front-Right': 'upfrontright', 'Up-Left': 'upleft', 'Up-Right': 'upright'}

NICE_TO_INT = {'Back': 7, 'Back-Left': 6, 'Back-Right': 8, 'Down': 18, 'Down-Back': 20, 'Down-Back-Left': 25, 'Down-Back-Right': 26, 'Down-Front': 19, 'Down-Front-Left': 23, 'Down-Front-Right': 24, 'Down-Left': 21, 'Down-Right': 22, 'Front': 3, 'Front-Left': 4, 'Front-Right': 2, 'Left': 5, 'Right': 1, 'Unknown': None, 'Up': 9, 'Up-Back': 11, 'Up-Back-Left': 16, 'Up-Back-Right': 17, 'Up-Front': 10, 'Up-Front-Left': 14, 'Up-Front-Right': 15, 'Up-Left': 12, 'Up-Right': 13}

R = 1

U = 9

UB = 11

UBL = 16

UBR = 17

UF = 10

UFL = 14

UFR = 15

UL = 12

UNKNOWN = None

UR = 13

d = None

f1 = None

f2 = None

class wbia.constants.ZIPPED_URLS[source]

Bases: object

ASSIGNER = 'https://wildbookiarepository.azureedge.net/databases/testdb_assigner.zip'

DF_CURVRANK = 'https://wildbookiarepository.azureedge.net/databases/testdb_curvrank.zip'

GZ_DISTINCTIVE = 'https://wildbookiarepository.azureedge.net/models/distinctivness_zebra_grevys.zip'

ID_EXAMPLE = 'https://wildbookiarepository.azureedge.net/databases/testdb_identification.zip'

K7_EXAMPLE = 'https://wildbookiarepository.azureedge.net/databases/testdb_kaggle7.zip'

NAUTS = 'https://wildbookiarepository.azureedge.net/databases/NAUT_test.zip'

ORIENTATION = 'https://wildbookiarepository.azureedge.net/databases/testdb_orientation.zip'

PZ_DISTINCTIVE = 'https://wildbookiarepository.azureedge.net/models/distinctivness_zebra_plains.zip'

PZ_MTEST = 'https://wildbookiarepository.azureedge.net/databases/PZ_MTEST.zip'

WDS = 'https://wildbookiarepository.azureedge.net/databases/wd_peter2.zip'

wbia.core_annots

IBEIS CORE Defines the core dependency cache supported by the image analysis api

Extracts annotation chips from imaages and applies optional image normalizations.

Todo

interactive callback functions
detection interface
identification interface

Notes

HOW TO DESIGN INTERACTIVE PLOTS:

decorate as interactive depc.get_property(recompute=True) instead of calling preproc as a generator and then adding, calls preproc and passes in a callback function. preproc spawns interaction and must call callback function when finished. callback function adds the rowids to the table.

Needed Tables:

Chip NormChip Feats Keypoints Descriptors ProbChip

IdentifyQuery NeighborIndex QualityClassifier ViewpointClassifier

CommandLine:

python -m wbia.control.IBEISControl –test-show_depc_annot_graph –show

Setup:

>>> from wbia.core_annots import *  # NOQA
>>> import wbia
>>> import wbia.plottool as pt
>>> ibs = wbia.opendb('testdb1')
>>> depc = ibs.depc_annot
>>> aid_list = ibs.get_valid_aids()[0:2]

class wbia.core_annots.AnnotMaskConfig(**kwargs)[source]: Bases: wbia.dtool.base.Config

class wbia.core_annots.AoIConfig(**kwargs)[source]: Bases: wbia.dtool.base.Config

class wbia.core_annots.CanonicalConfig(**kwargs)[source]: Bases: wbia.dtool.base.Config

class wbia.core_annots.ChipConfig(**kwargs)[source]: Bases: wbia.dtool.base.Config

class wbia.core_annots.ChipThumbConfig(**kwargs)[source]: Bases: wbia.dtool.base.Config

class wbia.core_annots.ClassifierConfig(**kwargs)[source]: Bases: wbia.dtool.base.Config

class wbia.core_annots.FeatConfig(**kwargs)[source]

Bases: wbia.dtool.base.Config

Example

>>> # DISABLE_DOCTEST
>>> from wbia.core_annots import *  # NOQA
>>> feat_cfg = FeatConfig()
>>> result = str(feat_cfg)
>>> print(result)
<FeatConfig(hesaff+sift)>

get_hesaff_params()[source]

get_param_info_list()[source]

class wbia.core_annots.FeatWeightConfig(**kwargs)[source]: Bases: wbia.dtool.base.Config

class wbia.core_annots.HOGConfig(**kwargs)[source]: Bases: wbia.dtool.base.Config

class wbia.core_annots.IndexerConfig(**kwargs)[source]

Bases: wbia.dtool.base.Config

Example

>>> # DISABLE_DOCTEST
>>> from wbia.core_annots import *  # NOQA
>>> cfg = VsOneConfig()
>>> result = str(cfg)
>>> print(result)

get_flann_params()[source]

class wbia.core_annots.LabelerConfig(**kwargs)[source]: Bases: wbia.dtool.base.Config

class wbia.core_annots.OrienterConfig(**kwargs)[source]: Bases: wbia.dtool.base.Config

class wbia.core_annots.PartAssignmentFeatureConfig(**kwargs)[source]: Bases: wbia.dtool.base.Config

class wbia.core_annots.ProbchipConfig(**kwargs)[source]: Bases: wbia.dtool.base.Config

class wbia.core_annots.VsOneConfig(**kwargs)[source]

Bases: wbia.dtool.base.Config

Example

>>> # DISABLE_DOCTEST
>>> from wbia.core_annots import *  # NOQA
>>> cfg = VsOneConfig()
>>> result = str(cfg)
>>> print(result)

wbia.core_annots.assigner_viewpoint_features(depc, part_aid_list, body_aid_list, config=None)[source]

wbia.core_annots.assigner_viewpoint_unit_features(depc, part_aid_list, body_aid_list, config=None)[source]

wbia.core_annots.cnn_probchips(ibs, species, inputchip_fpaths, smooth_thresh, smooth_ksize)[source]

wbia.core_annots.compute_annotmask(depc, aid_list, config=None)[source]

Interaction dispatcher for annotation masks.

Parameters

depc (wbia.depends_cache.DependencyCache) –
aid_list (list) – list of annotation rowids
config (AnnotMaskConfig) – (default = None)

Yields

(uri, int, int) – tup

CommandLine:: python -m wbia.core_annots –exec-compute_annotmask –show python -m wbia.core_annots –exec-compute_annotmask –show –edit

Example

>>> # DISABLE_DOCTEST
>>> from wbia.core_annots import *  # NOQA
>>> ibs, depc, aid_list = testdata_core()
>>> config = AnnotMaskConfig(dim_size=None)
>>> chip_config = config.chip_cfg
>>> edit = ut.get_argflag('--edit')
>>> mask = depc.get_property('annotmask', aid_list, 'img', config, recompute=edit)[0]
>>> chip = depc.get_property('chips', aid_list, 'img', config=chip_config)[0]
>>> ut.quit_if_noshow()
>>> import wbia.plottool as pt
>>> resized = vt.resize_mask(mask, chip)
>>> blended = vt.blend_images_multiply(chip, resized)
>>> pt.imshow(blended, title='mask')
>>> pt.show_if_requested()

wbia.core_annots.compute_aoi2(depc, aid_list, config=None)[source]

Extracts the Annotation of Interest (AoI) for a given input annotation

Parameters

depc (wbia.depends_cache.DependencyCache) –
aid_list (list) – list of annotation rowids
config (dict) – (default = None)

Yields

(float, str) – tup

CommandLine:: wbia compute_aoi2

Example

>>> # DISABLE_DOCTEST
>>> from wbia.core_images import *  # NOQA
>>> import wbia
>>> defaultdb = 'PZ_MTEST'
>>> ibs = wbia.opendb(defaultdb=defaultdb)
>>> depc = ibs.depc_annot
>>> aid_list = ibs.get_valid_aids()[0:8]
>>> # depc.delete_property('aoi_two', aid_list)
>>> results = depc.get_property('aoi_two', aid_list, None)
>>> print(results)

wbia.core_annots.compute_canonical(depc, aid_list, config=None)[source]

Extracts the detections for a given input annotation

Parameters

depc (wbia.depends_cache.DependencyCache) –
gid_list (list) – list of image rowids
config (dict) – (default = None)

Yields

(float, str) – tup

CommandLine:: wbia compute_canonical

Example

>>> # DISABLE_DOCTEST
>>> from wbia.core_images import *  # NOQA
>>> import wbia
>>> defaultdb = 'PZ_MTEST'
>>> ibs = wbia.opendb(defaultdb=defaultdb)
>>> depc = ibs.depc_image
>>> gid_list = ibs.get_valid_gids()[0:8]
>>> # depc.delete_property('canonical', gid_list)
>>> results = depc.get_property('canonical', gid_list, None)
>>> print(results)

wbia.core_annots.compute_chip(depc, aid_list, config=None)[source]

Extracts the annotation chip from the bounding box

Parameters

depc (wbia.depends_cache.DependencyCache) –
aid_list (list) – list of annotation rowids
config (dict) – (default = None)

Yields

(uri, int, int) – tup

CommandLine:

python -m wbia.core_annots –exec-compute_chip:0 –show python -m wbia.core_annots –exec-compute_chip:0 –show –greyscale wbia –tf compute_chip –show –pad=64 –dim_size=256 –db PZ_MTEST wbia –tf compute_chip –show –pad=64 –dim_size=None –db PZ_MTEST wbia –tf compute_chip –show –db humpbacks wbia –tf compute_chip:1 –show

Doctest:

>>> from wbia.core_annots import *  # NOQA
>>> import wbia
>>> defaultdb = 'testdb1'
>>> ibs = wbia.opendb(defaultdb=defaultdb)
>>> depc = ibs.depc_annot
>>> config = ChipConfig.from_argv_dict(dim_size=None)
>>> aid_list = ibs.get_valid_aids()[0:8]
>>> chips = depc.get_property('chips', aid_list, 'img', config={'dim_size': 256})
>>> ut.quit_if_noshow()
>>> import wbia.plottool as pt
>>> #interact_obj = pt.interact_multi_image.MultiImageInteraction(chips, nPerPage=4)
>>> import wbia.viz.interact.interact_chip
>>> interact_obj = wbia.viz.interact.interact_chip.interact_multichips(ibs, aid_list, config2_=config)
>>> interact_obj.start()
>>> pt.show_if_requested()

Doctest:

>>> from wbia.core_annots import *  # NOQA
>>> import wbia
>>> defaultdb = 'testdb1'
>>> ibs = wbia.opendb(defaultdb=defaultdb)
>>> depc = ibs.depc_annot
>>> config = ChipConfig(**{'dim_size': (256, 256), 'resize_dim': 'wh'})
>>> #dlg = config.make_qt_dialog()
>>> #config = dlg.widget.config
>>> aid_list = ibs.get_valid_aids()[0:8]
>>> chips = depc.get_property('chips', aid_list, 'img', config=config, recompute=True)
>>> ut.quit_if_noshow()
>>> import wbia.plottool as pt
>>> pt.imshow(vt.stack_image_recurse(chips))
>>> pt.show_if_requested()

wbia.core_annots.compute_chipthumb(depc, aid_list, config=None)[source]

Yet another chip thumb computer

Example

>>> # DISABLE_DOCTEST
>>> from wbia.core_annots import *  # NOQA
>>> import wbia
>>> defaultdb = 'PZ_MTEST'
>>> ibs = wbia.opendb(defaultdb=defaultdb)
>>> depc = ibs.depc_annot
>>> config = ChipThumbConfig.from_argv_dict(dim_size=None)
>>> aid_list = ibs.get_valid_aids()[0:2]
>>> compute_chipthumb(depc, aid_list, config)
>>> chips = depc.get_property('chips', aid_list, 'img', config={'dim_size': 256})
>>> ut.quit_if_noshow()
>>> import wbia.plottool as pt
>>> import wbia.viz.interact.interact_chip
>>> interact_obj = wbia.viz.interact.interact_chip.interact_multichips(ibs, aid_list, config2_=config)
>>> interact_obj.start()
>>> pt.show_if_requested()

wbia.core_annots.compute_classifications(depc, aid_list, config=None)[source]

Extracts the detections for a given input annotation

Parameters

depc (wbia.depends_cache.DependencyCache) –
gid_list (list) – list of image rowids
config (dict) – (default = None)

Yields

(float, str) – tup

CommandLine:: wbia compute_classifications

Example

>>> # DISABLE_DOCTEST
>>> from wbia.core_images import *  # NOQA
>>> import wbia
>>> defaultdb = 'PZ_MTEST'
>>> ibs = wbia.opendb(defaultdb=defaultdb)
>>> depc = ibs.depc_image
>>> gid_list = ibs.get_valid_gids()[0:8]
>>> # depc.delete_property('classifier', gid_list)
>>> results = depc.get_property('classifier', gid_list, None)
>>> print(results)

wbia.core_annots.compute_dlen_sqrd(depc, aid_list, config=None)[source]

wbia.core_annots.compute_feats(depc, cid_list, config=None)[source]

Computes features and yields results asynchronously: TODO: Remove IBEIS from this equation. Move the firewall towards the controller

Parameters

depc (dtool.DependencyCache) –
cid_list (list) –
config (None) –

Returns

generates param tups

Return type

generator

SeeAlso:

~/code/wbia_cnn/wbia_cnn/_plugin.py

CommandLine:

python -m wbia.core_annots –test-compute_feats:0 –show python -m wbia.core_annots –test-compute_feats:1

Doctest:

>>> # DISABLE_DOCTEST
>>> from wbia.core_annots import *  # NOQA
>>> ibs, depc, aid_list = testdata_core()
>>> chip_config = {}
>>> config = FeatConfig()
>>> cid_list = depc.get_rowids('chips', aid_list, config=chip_config)
>>> featgen = compute_feats(depc, cid_list, config)
>>> feat_list = list(featgen)
>>> assert len(feat_list) == len(aid_list)
>>> (nFeat, kpts, vecs) = feat_list[0]
>>> assert nFeat == len(kpts) and nFeat == len(vecs)
>>> assert kpts.shape[1] == 6
>>> assert vecs.shape[1] == 128
>>> ut.quit_if_noshow()
>>> import wbia.plottool as pt
>>> chip = depc.get_native('chips', cid_list[0:1], 'img')[0]
>>> pt.interact_keypoints.KeypointInteraction(chip, kpts, vecs, autostart=True)
>>> ut.show_if_requested()

Example

>>> # DISABLE_DOCTEST
>>> # TIMING
>>> from wbia.core_annots import *  # NOQA
>>> ibs, depc, aid_list = testdata_core('PZ_MTEST', 100)
>>> #config = {'dim_size': 450}
>>> config = {}
>>> cid_list = depc.get_rowids('chips', aid_list, config=config)
>>> config = FeatConfig()
>>> featgen = compute_feats(depc, cid_list, config)
>>> feat_list = list(featgen)
>>> idx = 5
>>> (nFeat, kpts, vecs) = feat_list[idx]
>>> ut.quit_if_noshow()
>>> import wbia.plottool as pt
>>> chip = depc.get_native('chips', cid_list[idx:idx + 1], 'img')[0]
>>> pt.interact_keypoints.KeypointInteraction(chip, kpts, vecs, autostart=True)
>>> ut.show_if_requested()

>>> #num_feats = depc.get('feat', aid_list, 'num_feats', config=config, recompute=True)

ibs.delete_annot_feats(aid_list) ibs.get_annot_feat_rowids(aid_list)

wbia.core_annots.compute_fgweights(depc, fid_list, pcid_list, config=None)[source]

Parameters

depc (dtool.DependencyCache) – depc
fid_list (list) –
config (None) – (default = None)

CommandLine:

python -m wbia.core_annots compute_fgweights

Doctest:

>>> # xdoctest: +REQUIRES(module:wbia_cnn)
>>> from wbia.core_annots import *  # NOQA
>>> ibs, depc, aid_list = testdata_core()
>>> full_config = {}
>>> config = FeatConfig()
>>> fid_list = depc.get_rowids('feat', aid_list, config=full_config)
>>> pcid_list = depc.get_rowids('probchip', aid_list, config=full_config)
>>> prop_list = list(compute_fgweights(depc, fid_list, pcid_list))
>>> featweight_list = ut.take_column(prop_list, 0)
>>> result = np.array_str(featweight_list[0][0:3], precision=3)
>>> print(result)

wbia.core_annots.compute_hog(depc, cid_list, config=None)[source]

Doctest:

>>> from wbia.core_annots import *  # NOQA
>>> ibs, depc, aid_list = testdata_core()
>>> chip_config = {}
>>> config = HOGConfig()
>>> cid_list = depc.get_rowids('chips', aid_list, config=chip_config)
>>> hoggen = compute_hog(depc, cid_list, config)
>>> hog = list(hoggen)[0]
>>> ut.quit_if_noshow()
>>> import wbia.plottool as pt
>>> hog_image = make_hog_block_image(hog, config)
>>> ut.show_if_requested()

wbia.core_annots.compute_labels_annotations(depc, aid_list, config=None)[source]

Extracts the detections for a given input image

Parameters

depc (wbia.depends_cache.DependencyCache) –
gid_list (list) – list of image rowids
config (dict) – (default = None)

Yields

(float, str) – tup

CommandLine:: python -m wbia.core_annots –exec-compute_labels_annotations python -m wbia.core_annots –exec-compute_labels_annotations:0 python -m wbia.core_annots –exec-compute_labels_annotations:1

Example

>>> # DISABLE_DOCTEST
>>> from wbia.core_images import *  # NOQA
>>> import wbia
>>> defaultdb = 'PZ_MTEST'
>>> ibs = wbia.opendb(defaultdb=defaultdb)
>>> depc = ibs.depc_annot
>>> aid_list = ibs.get_valid_aids()[0:8]
>>> config = {'labeler_algo': 'densenet', 'labeler_weight_filepath': 'giraffe_v1'}
>>> # depc.delete_property('labeler', aid_list)
>>> results = depc.get_property('labeler', aid_list, None, config=config)
>>> print(results)
>>> config = {'labeler_weight_filepath': 'candidacy'}
>>> # depc.delete_property('labeler', aid_list)
>>> results = depc.get_property('labeler', aid_list, None, config=config)
>>> print(results)
>>> config = {'labeler_algo': 'azure'}
>>> # depc.delete_property('labeler', aid_list)
>>> results = depc.get_property('labeler', aid_list, None, config=config)
>>> print(results)
>>> # depc.delete_property('labeler', aid_list)
>>> results = depc.get_property('labeler', aid_list, None)
>>> print(results)

Example

>>> # DISABLE_DOCTEST
>>> from wbia.core_images import *  # NOQA
>>> import wbia
>>> defaultdb = 'WD_Master'
>>> ibs = wbia.opendb(defaultdb=defaultdb)
>>> depc = ibs.depc_annot
>>> aid_list = ibs.get_valid_aids()[0:8]
>>> config = {'labeler_algo': 'densenet', 'labeler_weight_filepath': 'wilddog_v3+wilddog_v2+wilddog_v1'}
>>> # depc.delete_property('labeler', aid_list)
>>> results = depc.get_property('labeler', aid_list, None, config=config)
>>> print(results)

wbia.core_annots.compute_neighbor_index(depc, fids_list, config)[source]

Parameters

depc (dtool.DependencyCache) –
fids_list (list) –
config (dtool.Config) –

CommandLine:: python -m wbia.core_annots –exec-compute_neighbor_index –show python -m wbia.control.IBEISControl –test-show_depc_annot_table_input –show –tablename=neighbor_index

Example

>>> # DISABLE_DOCTEST
>>> from wbia.core_annots import *  # NOQA
>>> import wbia
>>> ibs, aid_list = wbia.testdata_aids('testdb1')
>>> depc = ibs.depc_annot
>>> fid_list = depc.get_rowids('feat', aid_list)
>>> aids_list = tuple([aid_list])
>>> fids_list = tuple([fid_list])
>>> # Compute directly from function
>>> config = ibs.depc_annot['neighbor_index'].configclass()
>>> result1 = list(compute_neighbor_index(depc, fids_list, config))
>>> nnindexer1 = result1[0][0]
>>> # Compute using depcache
>>> result2 = ibs.depc_annot.get('neighbor_index', [aids_list], 'indexer', config, recompute=False, _debug=True)
>>> #result3 = ibs.depc_annot.get('neighbor_index', [tuple(fids_list)], 'indexer', config, recompute=False)
>>> print(result2)
>>> print(result3)
>>> assert result2[0] is not result3[0]
>>> assert nnindexer1.knn(ibs.get_annot_vecs(1), 1) is not None
>>> assert result3[0].knn(ibs.get_annot_vecs(1), 1) is not None

wbia.core_annots.compute_orients_annotations(depc, aid_list, config=None)[source]

Extracts the detections for a given input image

Parameters

depc (wbia.depends_cache.DependencyCache) –
gid_list (list) – list of image rowids
config (dict) – (default = None)

Yields

(float, str) – tup

CommandLine:

pytest wbia/core_annots.py::compute_orients_annotations:0 python -m xdoctest /Users/jason.parham/code/wildbook-ia/wbia/core_annots.py compute_orients_annotations:1 –orient

Doctest:

>>> # DISABLE_DOCTEST
>>> from wbia.core_images import *  # NOQA
>>> import wbia
>>> defaultdb = 'testdb_identification'
>>> ibs = wbia.opendb(defaultdb=defaultdb)
>>> depc = ibs.depc_annot
>>> aid_list = ibs.get_valid_aids()[-16:-8]
>>> config = {'orienter_algo': 'deepsense'}
>>> # depc.delete_property('orienter', aid_list)
>>> result_list = depc.get_property('orienter', aid_list, None, config=config)
>>> xtl_list    = list(map(int, map(np.around, ut.take_column(result_list, 0))))
>>> ytl_list    = list(map(int, map(np.around, ut.take_column(result_list, 1))))
>>> w_list      = list(map(int, map(np.around, ut.take_column(result_list, 2))))
>>> h_list      = list(map(int, map(np.around, ut.take_column(result_list, 3))))
>>> theta_list  = ut.take_column(result_list, 4)
>>> bbox_list   = list(zip(xtl_list, ytl_list, w_list, h_list))
>>> ibs.set_annot_bboxes(aid_list, bbox_list, theta_list=theta_list)
>>> print(result_list)

Doctest:

>>> # DISABLE_DOCTEST
>>> import wbia
>>> import random
>>> import utool as ut
>>> from wbia.init import sysres
>>> import numpy as np
>>> dbdir = sysres.ensure_testdb_orientation()
>>> ibs = wbia.opendb(dbdir=dbdir)
>>> aid_list = ibs.get_valid_aids()
>>> note_list = ibs.get_annot_notes(aid_list)
>>> species_list = ibs.get_annot_species(aid_list)
>>> flag_list = [
>>>     note == 'random-01' and species == 'right_whale_head'
>>>     for note, species in zip(note_list, species_list)
>>> ]
>>> aid_list = ut.compress(aid_list, flag_list)
>>> aid_list = aid_list[:10]
>>> depc = ibs.depc_annot
>>> config = {'orienter_algo': 'plugin:orientation'}
>>> # depc.delete_property('orienter', aid_list)
>>> result_list = depc.get_property('orienter', aid_list, None, config=config)
>>> xtl_list    = list(map(int, map(np.around, ut.take_column(result_list, 0))))
>>> ytl_list    = list(map(int, map(np.around, ut.take_column(result_list, 1))))
>>> w_list      = list(map(int, map(np.around, ut.take_column(result_list, 2))))
>>> h_list      = list(map(int, map(np.around, ut.take_column(result_list, 3))))
>>> theta_list  = ut.take_column(result_list, 4)
>>> bbox_list   = list(zip(xtl_list, ytl_list, w_list, h_list))
>>> # ibs.set_annot_bboxes(aid_list, bbox_list, theta_list=theta_list)
>>> print(result_list)

wbia.core_annots.compute_pairwise_vsone(depc, qaids, daids, config)[source]

Executes one-vs-one matching between pairs of annotations using the vt.PairwiseMatch object.

Doctest:

>>> from wbia.core_annots import *  # NOQA
>>> import wbia
>>> ibs = wbia.opendb('PZ_MTEST')
>>> match_config = ut.hashdict({})
>>> qaids = [1, 4, 2]
>>> daids = [2, 5, 3]
>>> match_list = ibs.depc.get('pairwise_match', (qaids, daids),
>>>                           'match', config=match_config)
>>> m1, m2, m3 = match_list
>>> assert (m1.annot1['aid'], m1.annot2['aid']) == (1, 2)
>>> assert (m2.annot1['aid'], m2.annot2['aid']) == (4, 5)
>>> assert m1.fs.sum() > m2.fs.sum()

wbia.core_annots.compute_probchip(depc, aid_list, config=None)[source]

Computes probability chips

CommandLine:: python -m wbia.core_annots –test-compute_probchip –nocnn –show –db PZ_MTEST python -m wbia.core_annots –test-compute_probchip –show –fw_detector=cnn python -m wbia.core_annots –test-compute_probchip –show –fw_detector=rf –smooth_thresh=None

Example

>>> # DISABLE_DOCTEST
>>> from wbia.core_annots import *  # NOQA
>>> import wbia
>>> ibs, depc, aid_list = testdata_core()
>>> aid_list = ibs.get_valid_aids(species='zebra_plains')[0:10]
>>> config = ProbchipConfig.from_argv_dict(fw_detector='cnn', smooth_thresh=None)
>>> #probchip_fpath_list_ = ut.take_column(list(compute_probchip(depc, aid_list, config)), 0)
>>> probchip_list_ = ut.take_column(list(compute_probchip(depc, aid_list, config)), 0)
>>> #result = ut.repr2(probchip_fpath_list_)
>>> #print(result)
>>> ut.quit_if_noshow()
>>> import wbia.plottool as pt
>>> #xlabel_list = list(map(str, [vt.image.open_image_size(p) for p in probchip_fpath_list_]))
>>> #iteract_obj = pt.interact_multi_image.MultiImageInteraction(probchip_fpath_list_, nPerPage=4, xlabel_list=xlabel_list)
>>> xlabel_list = [str(vt.get_size(img)) for img in probchip_list_]
>>> iteract_obj = pt.interact_multi_image.MultiImageInteraction(probchip_list_, nPerPage=4, xlabel_list=xlabel_list)
>>> iteract_obj.start()
>>> ut.show_if_requested()

wbia.core_annots.empty_probchips(inputchip_fpaths)[source]

wbia.core_annots.gen_chip_configure_and_compute(ibs, gid_list, rowid_list, bbox_list, theta_list, config)[source]

wbia.core_annots.gen_chip_worker(gpath, orient, M, new_size, filter_list, warpkw)[source]

wbia.core_annots.gen_feat_worker(chip_fpath, probchip_fpath, hesaff_params)[source]

Function to be parallelized by multiprocessing / joblib / whatever. Must take in one argument to be used by multiprocessing.map_async

Parameters

chip_fpath –
probchip_fpath –
hesaff_params –

Returns

(None, kpts, vecs)

Return type

tuple

CommandLine:

python -m wbia.core_annots –exec-gen_feat_worker –show python -m wbia.core_annots –exec-gen_feat_worker –show –aid 1988 –db GZ_Master1 –affine-invariance=False –scale_max=30 python -m wbia.core_annots –exec-gen_feat_worker –show –aid 1988 –db GZ_Master1 –affine-invariance=False –maskmethod=None –scale_max=30

Doctest:

>>> from wbia.core_annots import *  # NOQA
>>> ibs, depc, aid_list = testdata_core()
>>> aid = aid_list[0]
>>> config = {}
>>> feat_config = FeatConfig.from_argv_dict()
>>> chip_fpath = ibs.depc_annot.get('chips', aid_list[0], 'img', config=config, read_extern=False)
>>> maskmethod = ut.get_argval('--maskmethod', type_=str, default='cnn')
>>> probchip_fpath = ibs.depc_annot.get('probchip', aid_list[0], 'img', config=config, read_extern=False) if feat_config['maskmethod'] == 'cnn' else None
>>> hesaff_params = feat_config.asdict()
>>> # Exec function source
>>> masked_chip, num_kpts, kpts, vecs = ut.exec_func_src(
>>>     gen_feat_worker, key_list=['masked_chip', 'num_kpts', 'kpts', 'vecs'],
>>>     sentinal='num_kpts = kpts.shape[0]')
>>> result = ('(num_kpts, kpts, vecs) = %s' % (ut.repr2((num_kpts, kpts, vecs)),))
>>> print(result)
>>> ut.quit_if_noshow()
>>> import wbia.plottool as pt
>>> from wbia.plottool.interactions import ExpandableInteraction
>>> interact = ExpandableInteraction()
>>> interact.append_plot(pt.interact_keypoints.KeypointInteraction(masked_chip, kpts, vecs))
>>> interact.append_plot(lambda **kwargs: pt.plot_score_histograms([vt.get_scales(kpts)], **kwargs))
>>> interact.start()
>>> ut.show_if_requested()

wbia.core_annots.gen_featweight_worker(kpts, probchip, chipsize)[source]

Function to be parallelized by multiprocessing / joblib / whatever. Must take in one argument to be used by multiprocessing.map_async

Parameters

kpts –
probchip –
chipsize –

CommandLine:

python -m wbia.core_annots –test-gen_featweight_worker –show python -m wbia.core_annots –test-gen_featweight_worker –show –dpath figures –save ~/latex/crall-candidacy-2015/figures/gen_featweight.jpg python -m wbia.core_annots –test-gen_featweight_worker –show –db PZ_MTEST –qaid_list=1,2,3,4,5,6,7,8,9

Doctest:

>>> # xdoctest: +REQUIRES(module:wbia_cnn)
>>> from wbia.core_annots import *  # NOQA
>>> #test_featweight_worker()
>>> ibs, depc, aid_list = testdata_core()
>>> aid_list = aid_list[0:1]
>>> config = {'dim_size': 450, 'resize_dim': 'area', 'smooth_thresh': 0, 'smooth_ksize': 0}
>>> probchip = depc.get('probchip', aid_list, 'img', config=config)[0]
>>> chipsize = depc.get('chips', aid_list, ('width', 'height'), config=config)[0]
>>> kpts = depc.get('feat', aid_list, 'kpts', config=config)[0]
>>> weights = gen_featweight_worker(kpts, probchip, chipsize)
>>> assert np.all(weights <= 1.0), 'weights cannot be greater than 1'
>>> chip = depc.get('chips', aid_list, 'img', config=config)[0]
>>> ut.quit_if_noshow()
>>> import wbia.plottool as pt
>>> fnum = 1
>>> pnum_ = pt.make_pnum_nextgen(1, 3)
>>> pt.figure(fnum=fnum, doclf=True)
>>> pt.imshow(chip, pnum=pnum_(0), fnum=fnum)
>>> pt.imshow(probchip, pnum=pnum_(2), fnum=fnum)
>>> pt.imshow(chip, pnum=pnum_(1), fnum=fnum)
>>> color_list = pt.draw_kpts2(kpts, weights=weights, ell_alpha=.3)
>>> cb = pt.colorbar(weights, color_list)
>>> cb.set_label('featweights')
>>> pt.show_if_requested()

wbia.core_annots.get_annot_lrudfb_bools(ibs, aid_list)[source]

wbia.core_annots.get_annot_lrudfb_unit_vector(ibs, aid_list)[source]

wbia.core_annots.make_configured_annots(ibs, qaids, daids, qannot_cfg, dannot_cfg, preload=False, return_view_cache=False)[source]

Configures annotations so they can be sent to the vsone vt.matching procedure.

CommandLine:

python -m wbia.core_annots make_configured_annots

Doctest:

>>> from wbia.core_annots import *  # NOQA
>>> import wbia
>>> ibs = wbia.opendb('testdb1')
>>> qannot_cfg = dannot_cfg = ut.hashdict({})
>>> qaids = [1, 2]
>>> daids = [3, 4]
>>> preload = True
>>> configured_lazy_annots, configured_annot_views = make_configured_annots(
>>>     ibs, qaids, daids, qannot_cfg, dannot_cfg, preload=False,
>>>     return_view_cache=True,
>>> )
>>> aid_dict = configured_lazy_annots[qannot_cfg]
>>> annot_views = configured_annot_views[qannot_cfg]
>>> annot = aid_dict[1]
>>> assert len(annot_views._cache) == 0
>>> view = annot['view']
>>> kpts = annot['kpts']
>>> assert len(annot_views._cache) == 2

wbia.core_annots.make_hog_block_image(hog, config=None)[source]

References

https://github.com/scikit-image/scikit-image/blob/master/skimage/feature/_hog.py

wbia.core_annots.postprocess_mask(mask, thresh=20, kernel_size=20)[source]

Parameters: mask (ndarray) –
Returns: mask2
Return type: ndarray

CommandLine:

python -m wbia.core_annots –exec-postprocess_mask –cnn –show –aid=1 –db PZ_MTEST python -m wbia –tf postprocess_mask –cnn –show –db PZ_MTEST –adapteq=True

SeeAlso:

python -m wbia_cnn –tf generate_species_background_mask –show –db PZ_Master1 –aid 9970

Ignore:

input_tuple = aid_list tablename = ‘probchip’ config = full_config rowid_kw = dict(config=config)

Doctest:

>>> # xdoctest: +REQUIRES(module:wbia_cnn, --slow)
>>> from wbia.core_annots import *  # NOQA
>>> import wbia.plottool as pt
>>> ibs, depc, aid_list = testdata_core()
>>> config = ChipConfig.from_argv_dict()
>>> probchip_config = ProbchipConfig(smooth_thresh=None)
>>> chip = ibs.depc_annot.get('chips', aid_list, 'img', config)[0]
>>> mask = ibs.depc_annot.get('probchip', aid_list, 'img', probchip_config)[0]
>>> mask2 = postprocess_mask(mask)
>>> ut.quit_if_noshow()
>>> fnum = 1
>>> pt.imshow(chip, pnum=(1, 3, 1), fnum=fnum, xlabel=str(chip.shape))
>>> pt.imshow(mask, pnum=(1, 3, 2), fnum=fnum, title='before', xlabel=str(mask.shape))
>>> pt.imshow(mask2, pnum=(1, 3, 3), fnum=fnum, title='after', xlabel=str(mask2.shape))
>>> ut.show_if_requested()

wbia.core_annots.rf_probchips(ibs, aids, species, inputchip_fpaths, pad, smooth_thresh, smooth_ksize)[source]

wbia.core_annots.testdata_core(defaultdb='testdb1', size=2)[source]

wbia.core_images

IBEIS CORE IMAGE.

Defines the core dependency cache supported by the image analysis api

Extracts detection results from images and applies additional processing automatically

Ex: python -m wbia.control.IBEISControl –test-show_depc_image_graph –show python -m wbia.control.IBEISControl –test-show_depc_image_graph –show –reduced

TODO:

Notes

HOW TO DESIGN INTERACTIVE PLOTS:

decorate as interactive

depc.get_property(recompute=True)

instead of calling preproc as a generator and then adding, calls preproc and passes in a callback function. preproc spawns interaction and must call callback function when finished.

callback function adds the rowids to the table.

Needed Tables:

Detections QualityClassifier ViewpointClassifier

class wbia.core_images.AoIConfig(**kwargs)[source]: Bases: wbia.dtool.base.Config

class wbia.core_images.CameraTrapEXIFConfig(**kwargs)[source]: Bases: wbia.dtool.base.Config

class wbia.core_images.Chip2Config(**kwargs)[source]: Bases: wbia.dtool.base.Config

class wbia.core_images.Classifier2Config(**kwargs)[source]: Bases: wbia.dtool.base.Config

class wbia.core_images.ClassifierConfig(**kwargs)[source]: Bases: wbia.dtool.base.Config

class wbia.core_images.ClassifierLocalizationsConfig(**kwargs)[source]: Bases: wbia.dtool.base.Config

class wbia.core_images.DetectorConfig(**kwargs)[source]: Bases: wbia.dtool.base.Config

class wbia.core_images.Feature2Config(**kwargs)[source]: Bases: wbia.dtool.base.Config

class wbia.core_images.FeatureConfig(**kwargs)[source]: Bases: wbia.dtool.base.Config

class wbia.core_images.LabelerConfig(**kwargs)[source]: Bases: wbia.dtool.base.Config

class wbia.core_images.LocalizerConfig(**kwargs)[source]: Bases: wbia.dtool.base.Config

class wbia.core_images.LocalizerOriginalConfig(**kwargs)[source]: Bases: wbia.dtool.base.Config

class wbia.core_images.ThumbnailConfig(**kwargs)[source]: Bases: wbia.dtool.base.Config

class wbia.core_images.WebSrcConfig(**kwargs)[source]: Bases: wbia.dtool.base.Config

wbia.core_images.compute_cameratrap_exif(depc, gid_list, config=None)[source]

wbia.core_images.compute_cameratrap_exif_worker(gpath, orient, bottom=80, psm=7, oem=1, whitelist='0123456789°CF/:')[source]

wbia.core_images.compute_classifications(depc, gid_list, config=None)[source]

Extract the detections for a given input image.

Parameters

depc (wbia.depends_cache.DependencyCache) –
gid_list (list) – list of image rowids
config (dict) – (default = None)

Yields

(float, str) – tup

CommandLine:: wbia compute_classifications

Example

>>> # DISABLE_DOCTEST
>>> from wbia.core_images import *  # NOQA
>>> import wbia
>>> defaultdb = 'PZ_MTEST'
>>> ibs = wbia.opendb(defaultdb=defaultdb)
>>> depc = ibs.depc_image
>>> gid_list = ibs.get_valid_gids()[0:8]
>>> # depc.delete_property('classifier', gid_list)
>>> results = depc.get_property('classifier', gid_list, None)
>>> print(results)
>>> depc = ibs.depc_image
>>> config = {'classifier_algo': 'svm'}
>>> depc.delete_property('classifier', gid_list, config=config)
>>> results = depc.get_property('classifier', gid_list, None, config=config)
>>> print(results)
>>> config = {'classifier_algo': 'svm', 'classifier_weight_filepath': 'localizer-zebra-10'}
>>> depc.delete_property('classifier', gid_list, config=config)
>>> results = depc.get_property('classifier', gid_list, None, config=config)
>>> print(results)

wbia.core_images.compute_classifications2(depc, gid_list, config=None)[source]

Extract the multi-class classifications for a given input image.

Parameters

depc (wbia.depends_cache.DependencyCache) –
gid_list (list) – list of image rowids
config (dict) – (default = None)

Yields

(np.ndarray, np.ndarray) – tup

CommandLine:: wbia compute_classifications2

Example

>>> # DISABLE_DOCTEST
>>> from wbia.core_images import *  # NOQA
>>> import wbia
>>> defaultdb = 'PZ_MTEST'
>>> ibs = wbia.opendb(defaultdb=defaultdb)
>>> depc = ibs.depc_image
>>> gid_list = ibs.get_valid_gids()[0:8]
>>> # depc.delete_property('classifier_two', gid_list)
>>> results = depc.get_property('classifier_two', gid_list, None)
>>> print(results)

wbia.core_images.compute_detections(depc, gid_list, config=None)[source]

Extract the detections for a given input image.

Parameters

depc (wbia.depends_cache.DependencyCache) –
gid_list (list) – list of image rowids
config (dict) – (default = None)

Yields

(float, np.ndarray, np.ndarray, np.ndarray, np.ndarray) – tup

CommandLine:: wbia compute_detections

Example

>>> # SLOW_DOCTEST
>>> # xdoctest: +SKIP
>>> from wbia.core_images import *  # NOQA
>>> import wbia
>>> defaultdb = 'PZ_MTEST'
>>> ibs = wbia.opendb(defaultdb=defaultdb)
>>> # dbdir = '/Users/bluemellophone/Desktop/GGR-IBEIS-TEST/'
>>> # dbdir = '/media/danger/GGR/GGR-IBEIS-TEST/'
>>> # ibs = wbia.opendb(dbdir=dbdir)
>>> depc = ibs.depc_image
>>> gid_list = ibs.get_valid_gids()[0:2]
>>> depc.delete_property('detections', gid_list)
>>> detects = depc.get_property('detections', gid_list, None)
>>> print(detects)

wbia.core_images.compute_features(depc, gid_list, config=None)[source]

Compute features on images using pre-trained state-of-the-art models in Keras.

Parameters

depc (wbia.depends_cache.DependencyCache) –
gid_list (list) – list of image rowids
config (dict) – (default = None)

Yields

(np.ndarray, ) – tup

CommandLine:: wbia compute_features
CommandLine:: python -m wbia.core_images compute_features –show

Example

>>> # DISABLE_DOCTEST
>>> from wbia.core_images import *  # NOQA
>>> import wbia
>>> defaultdb = 'PZ_MTEST'
>>> ibs = wbia.opendb(defaultdb=defaultdb)
>>> depc = ibs.depc_image
>>> print(depc.get_tablenames())
>>> gid_list = ibs.get_valid_gids()[:16]
>>> config = {'model': 'vgg16'}
>>> depc.delete_property('features', gid_list, config=config)
>>> features = depc.get_property('features', gid_list, 'vector', config=config)
>>> print(features)
>>> config = {'model': 'vgg19'}
>>> depc.delete_property('features', gid_list, config=config)
>>> features = depc.get_property('features', gid_list, 'vector', config=config)
>>> print(features)
>>> config = {'model': 'resnet'}
>>> depc.delete_property('features', gid_list, config=config)
>>> features = depc.get_property('features', gid_list, 'vector', config=config)
>>> print(features)
>>> config = {'model': 'inception'}
>>> depc.delete_property('features', gid_list, config=config)
>>> features = depc.get_property('features', gid_list, 'vector', config=config)
>>> print(features)

wbia.core_images.compute_localizations(depc, loc_orig_id_list, config=None)[source]

Extract the localizations for a given input image.

Parameters

depc (wbia.depends_cache.DependencyCache) –
gid_list (list) – list of image rowids
config (dict) – (default = None)

Yields

(float, np.ndarray, np.ndarray, np.ndarray, np.ndarray) – tup

CommandLine:: wbia compute_localizations
CommandLine:: python -m wbia.core_images compute_localizations –show

Example

>>> # DISABLE_DOCTEST
>>> from wbia.core_images import *  # NOQA
>>> import wbia
>>> defaultdb = 'PZ_MTEST'
>>> ibs = wbia.opendb(defaultdb=defaultdb)
>>> depc = ibs.depc_image
>>> print(depc.get_tablenames())
>>> gid_list = ibs.get_valid_gids()[:16]
>>> config = {'algo': 'lightnet', 'nms': True}
>>> # depc.delete_property('localizations', gid_list, config=config)
>>> detects = depc.get_property('localizations', gid_list, 'bboxes', config=config)
>>> print(detects)
>>> config = {'combined': True}
>>> # depc.delete_property('localizations', gid_list, config=config)
>>> detects = depc.get_property('localizations', gid_list, 'bboxes', config=config)
>>> print(detects)

wbia.core_images.compute_localizations_chips(depc, loc_id_list, config=None)[source]

Extract the detections for a given input image.

Parameters

depc (wbia.depends_cache.DependencyCache) –
loc_id_list (list) – list of localization rowids
config (dict) – (default = None)

Yields

(float, str) – tup

CommandLine:: wbia compute_localizations_chips

Example

>>> # DISABLE_DOCTEST
>>> from wbia.core_images import *  # NOQA
>>> import wbia
>>> defaultdb = 'PZ_MTEST'
>>> ibs = wbia.opendb(defaultdb=defaultdb)
>>> depc = ibs.depc_image
>>> gid_list = ibs.get_valid_gids()[0:8]
>>> config = {'combined': True, 'localization_chip_masking': True}
>>> # depc.delete_property('localizations_chips', gid_list, config=config)
>>> results = depc.get_property('localizations_chips', gid_list, None, config=config)
>>> print(results)
>>> config = {'combined': True, 'localization_chip_masking': False}
>>> # depc.delete_property('localizations_chips', gid_list, config=config)
>>> results = depc.get_property('localizations_chips', gid_list, None, config=config)
>>> print(results)

wbia.core_images.compute_localizations_classifications(depc, loc_id_list, config=None)[source]

Extract the detections for a given input image.

Parameters

depc (wbia.depends_cache.DependencyCache) –
loc_id_list (list) – list of localization rowids
config (dict) – (default = None)

Yields

(float, str) – tup

CommandLine:: wbia compute_localizations_classifications

Example

>>> # DISABLE_DOCTEST
>>> from wbia.core_images import *  # NOQA
>>> import wbia
>>> defaultdb = 'PZ_MTEST'
>>> ibs = wbia.opendb(defaultdb=defaultdb)
>>> depc = ibs.depc_image
>>> gid_list = ibs.get_valid_gids()[0:8]
>>> config = {'algo': 'yolo'}
>>> # depc.delete_property('localizations_classifier', gid_list, config=config)
>>> results = depc.get_property('localizations_classifier', gid_list, None, config=config)
>>> print(results)
>>> config = {'algo': 'yolo', 'classifier_masking': True}
>>> # depc.delete_property('localizations_classifier', gid_list, config=config)
>>> results = depc.get_property('localizations_classifier', gid_list, None, config=config)
>>> print(results)
>>>
>>> depc = ibs.depc_image
>>> gid_list = list(set(ibs.get_imageset_gids(ibs.get_imageset_imgsetids_from_text('TEST_SET'))))
>>> config = {'combined': True, 'classifier_algo': 'svm', 'classifier_weight_filepath': None}
>>> # depc.delete_property('localizations_classifier', gid_list, config=config)
>>> results = depc.get_property('localizations_classifier', gid_list, None, config=config)
>>> print(results)
>>>
>>> config = {'combined': True, 'classifier_algo': 'svm', 'classifier_weight_filepath': 'localizer-zebra-10'}
>>> # depc.delete_property('localizations_classifier', gid_list, config=config)
>>> results = depc.get_property('localizations_classifier', gid_list, None, config=config)
>>> print(results)
>>>
>>> config = {'combined': True, 'classifier_algo': 'svm', 'classifier_weight_filepath': 'localizer-zebra-50'}
>>> results = depc.get_property('localizations_classifier', gid_list, None, config=config)
>>> print(results)
>>>
>>> config = {'combined': True, 'classifier_algo': 'svm', 'classifier_weight_filepath': 'localizer-zebra-100'}
>>> results = depc.get_property('localizations_classifier', gid_list, None, config=config)
>>> print(results)

wbia.core_images.compute_localizations_features(depc, loc_id_list, config=None)[source]

Compute features on images using pre-trained state-of-the-art models in Keras.

Parameters

depc (wbia.depends_cache.DependencyCache) –
gid_list (list) – list of image rowids
config (dict) – (default = None)

Yields

(np.ndarray, ) – tup

CommandLine:: wbia compute_localizations_features
CommandLine:: python -m wbia.core_images compute_localizations_features –show

Example

>>> # DISABLE_DOCTEST
>>> from wbia.core_images import *  # NOQA
>>> import wbia
>>> defaultdb = 'PZ_MTEST'
>>> ibs = wbia.opendb(defaultdb=defaultdb)
>>> depc = ibs.depc_image
>>> print(depc.get_tablenames())
>>> gid_list = ibs.get_valid_gids()[:16]
>>> config = {'feature2_algo': 'vgg16', 'combined': True}
>>> depc.delete_property('localizations_features', gid_list, config=config)
>>> features = depc.get_property('localizations_features', gid_list, 'vector', config=config)
>>> print(features)
>>> config = {'feature2_algo': 'vgg19', 'combined': True}
>>> depc.delete_property('localizations_features', gid_list, config=config)
>>> features = depc.get_property('localizations_features', gid_list, 'vector', config=config)
>>> print(features)
>>> config = {'feature2_algo': 'resnet', 'combined': True}
>>> depc.delete_property('localizations_features', gid_list, config=config)
>>> features = depc.get_property('localizations_features', gid_list, 'vector', config=config)
>>> print(features)
>>> config = {'feature2_algo': 'inception', 'combined': True}
>>> depc.delete_property('localizations_features', gid_list, config=config)
>>> features = depc.get_property('localizations_features', gid_list, 'vector', config=config)
>>> print(features)

wbia.core_images.compute_localizations_interest(depc, loc_id_list, config=None)[source]

Extract the detections for a given input image.

Parameters

depc (wbia.depends_cache.DependencyCache) –
loc_id_list (list) – list of localization rowids
config (dict) – (default = None)

Yields

(float, str) – tup

CommandLine:: wbia compute_localizations_labels

Example

>>> # DISABLE_DOCTEST
>>> from wbia.core_images import *  # NOQA
>>> import wbia
>>> defaultdb = 'PZ_MTEST'
>>> ibs = wbia.opendb(defaultdb=defaultdb)
>>> depc = ibs.depc_image
>>> gid_list = ibs.get_valid_gids()[0:100]
>>> depc.delete_property('labeler', gid_list)
>>> results = depc.get_property('labeler', gid_list, None)
>>> results = depc.get_property('labeler', gid_list, 'species')
>>> print(results)

wbia.core_images.compute_localizations_labels(depc, loc_id_list, config=None)[source]

Extract the detections for a given input image.

Parameters

depc (wbia.depends_cache.DependencyCache) –
loc_id_list (list) – list of localization rowids
config (dict) – (default = None)

Yields

(float, str) – tup

CommandLine:: python -m wbia.core_images –exec-compute_localizations_labels

Example

>>> # DISABLE_DOCTEST
>>> from wbia.core_images import *  # NOQA
>>> import wbia
>>> defaultdb = 'PZ_MTEST'
>>> ibs = wbia.opendb(defaultdb=defaultdb)
>>> depc = ibs.depc_image
>>> gid_list = ibs.get_valid_gids()[0:10]
>>> config = {'labeler_algo': 'densenet', 'labeler_weight_filepath': 'giraffe_v1'}
>>> # depc.delete_property('localizations_labeler', aid_list)
>>> results = depc.get_property('localizations_labeler', gid_list, None, config=config)
>>> print(results)
>>> config = {'labeler_weight_filepath': 'candidacy'}
>>> # depc.delete_property('localizations_labeler', aid_list)
>>> results = depc.get_property('localizations_labeler', gid_list, None, config=config)
>>> print(results)

wbia.core_images.compute_localizations_original(depc, gid_list, config=None)[source]

Extract the localizations for a given input image.

Parameters

depc (wbia.depends_cache.DependencyCache) –
gid_list (list) – list of image rowids
config (dict) – (default = None)

Yields

(float, np.ndarray, np.ndarray, np.ndarray, np.ndarray) – tup

CommandLine:: wbia compute_localizations_original
CommandLine:: python -m wbia.core_images compute_localizations_original –show

Example

>>> # DISABLE_DOCTEST
>>> from wbia.core_images import *  # NOQA
>>> import wbia
>>> defaultdb = 'PZ_MTEST'
>>> ibs = wbia.opendb(defaultdb=defaultdb)
>>> depc = ibs.depc_image
>>> print(depc.get_tablenames())
>>> gid_list = ibs.get_valid_gids()[:16]
>>> config = {'algo': 'azure', 'config_filepath': None}
>>> depc.delete_property('localizations_original', gid_list, config=config)
>>> detects = depc.get_property('localizations_original', gid_list, 'bboxes', config=config)
>>> print(detects)
>>> config = {'algo': 'darknet', 'config_filepath': 'pretrained-v2-pascal'}
>>> depc.delete_property('localizations_original', gid_list, config=config)
>>> detects = depc.get_property('localizations_original', gid_list, 'bboxes', config=config)
>>> print(detects)
>>> config = {'algo': 'darknet', 'config_filepath': 'pretrained-v2-large-pascal'}
>>> depc.delete_property('localizations_original', gid_list, config=config)
>>> detects = depc.get_property('localizations_original', gid_list, 'bboxes', config=config)
>>> print(detects)
>>> config = {'algo': 'darknet', 'config_filepath': 'pretrained-tiny-pascal'}
>>> depc.delete_property('localizations_original', gid_list, config=config)
>>> detects = depc.get_property('localizations_original', gid_list, 'bboxes', config=config)
>>> print(detects)
>>> config = {'algo': 'darknet', 'config_filepath': 'pretrained-v2-large-coco'}
>>> depc.delete_property('localizations_original', gid_list, config=config)
>>> detects = depc.get_property('localizations_original', gid_list, 'bboxes', config=config)
>>> print(detects)
>>> config = {'algo': 'darknet', 'config_filepath': 'pretrained-tiny-coco'}
>>> depc.delete_property('localizations_original', gid_list, config=config)
>>> detects = depc.get_property('localizations_original', gid_list, 'bboxes', config=config)
>>> print(detects)
>>> config = {'algo': 'yolo'}
>>> depc.delete_property('localizations_original', gid_list, config=config)
>>> detects = depc.get_property('localizations_original', gid_list, 'bboxes', config=config)
>>> print(detects)
>>> config = {'algo': 'lightnet'}
>>> depc.delete_property('localizations_original', gid_list, config=config)
>>> detects = depc.get_property('localizations_original', gid_list, 'bboxes', config=config)
>>> print(detects)
>>> config = {'algo': 'rf'}
>>> depc.delete_property('localizations_original', gid_list, config=config)
>>> detects = depc.get_property('localizations_original', gid_list, 'bboxes', config=config)
>>> print(detects)
>>> config = {'algo': 'selective-search'}
>>> depc.delete_property('localizations_original', gid_list, config=config)
>>> detects = depc.get_property('localizations_original', gid_list, 'bboxes', config=config)
>>> print(detects)
>>> config = {'algo': 'selective-search-rcnn'}
>>> depc.delete_property('localizations_original', gid_list, config=config)
>>> detects = depc.get_property('localizations_original', gid_list, 'bboxes', config=config)
>>> print(detects)
>>> config = {'algo': 'faster-rcnn', 'config_filepath': 'pretrained-vgg-pascal'}
>>> depc.delete_property('localizations_original', gid_list, config=config)
>>> detects = depc.get_property('localizations_original', gid_list, 'bboxes', config=config)
>>> print(detects)
>>> config = {'algo': 'faster-rcnn', 'config_filepath': 'pretrained-zf-pascal'}
>>> depc.delete_property('localizations_original', gid_list, config=config)
>>> detects = depc.get_property('localizations_original', gid_list, 'bboxes', config=config)
>>> print(detects)
>>> config = {'algo': 'faster-rcnn', 'config_filepath': 'pretrained-vgg-ilsvrc'}
>>> depc.delete_property('localizations_original', gid_list, config=config)
>>> detects = depc.get_property('localizations_original', gid_list, 'bboxes', config=config)
>>> print(detects)
>>> config = {'algo': 'faster-rcnn', 'config_filepath': 'pretrained-zf-ilsvrc'}
>>> depc.delete_property('localizations_original', gid_list, config=config)
>>> detects = depc.get_property('localizations_original', gid_list, 'bboxes', config=config)
>>> print(detects)
>>> config = {'algo': 'ssd', 'config_filepath': 'pretrained-300-pascal'}
>>> depc.delete_property('localizations_original', gid_list, config=config)
>>> detects = depc.get_property('localizations_original', gid_list, 'bboxes', config=config)
>>> print(detects)
>>> config = {'algo': 'ssd', 'config_filepath': 'pretrained-512-pascal'}
>>> depc.delete_property('localizations_original', gid_list, config=config)
>>> detects = depc.get_property('localizations_original', gid_list, 'bboxes', config=config)
>>> print(detects)
>>> config = {'algo': 'ssd', 'config_filepath': 'pretrained-300-pascal-plus'}
>>> depc.delete_property('localizations_original', gid_list, config=config)
>>> detects = depc.get_property('localizations_original', gid_list, 'bboxes', config=config)
>>> print(detects)
>>> config = {'algo': 'ssd', 'config_filepath': 'pretrained-512-pascal-plus'}
>>> depc.delete_property('localizations_original', gid_list, config=config)
>>> detects = depc.get_property('localizations_original', gid_list, 'bboxes', config=config)
>>> print(detects)
>>> config = {'algo': 'ssd', 'config_filepath': 'pretrained-300-coco'}
>>> depc.delete_property('localizations_original', gid_list, config=config)
>>> detects = depc.get_property('localizations_original', gid_list, 'bboxes', config=config)
>>> print(detects)
>>> config = {'algo': 'ssd', 'config_filepath': 'pretrained-512-coco'}
>>> depc.delete_property('localizations_original', gid_list, config=config)
>>> detects = depc.get_property('localizations_original', gid_list, 'bboxes', config=config)
>>> print(detects)
>>> config = {'algo': 'ssd', 'config_filepath': 'pretrained-300-ilsvrc'}
>>> depc.delete_property('localizations_original', gid_list, config=config)
>>> detects = depc.get_property('localizations_original', gid_list, 'bboxes', config=config)
>>> print(detects)
>>> config = {'algo': 'ssd', 'config_filepath': 'pretrained-500-ilsvrc'}
>>> depc.delete_property('localizations_original', gid_list, config=config)
>>> detects = depc.get_property('localizations_original', gid_list, 'bboxes', config=config)
>>> print(detects)
>>> config = {'algo': '_COMBINED'}
>>> depc.delete_property('localizations_original', gid_list, config=config)
>>> detects = depc.get_property('localizations_original', gid_list, 'bboxes', config=config)
>>> print(detects)

wbia.core_images.compute_thumbnails(depc, gid_list, config=None)[source]

Compute the thumbnail for a given input image.

Parameters

depc (wbia.depends_cache.DependencyCache) –
gid_list (list) – list of image rowids
config (dict) – (default = None)

Yields

(uri, int, int) – tup

CommandLine:: wbia –tf compute_thumbnails –show –db PZ_MTEST

Example

>>> # ENABLE_DOCTEST
>>> # xdoctest: +REQUIRES(--weird)
>>> from wbia.core_images import *  # NOQA
>>> import wbia
>>> defaultdb = 'testdb1'
>>> ibs = wbia.opendb(defaultdb=defaultdb)
>>> depc = ibs.depc_image
>>> gid_list = ibs.get_valid_gids()[0:10]
>>> thumbs = depc.get_property('thumbnails', gid_list, 'img', config={'thumbsize': 221}, recompute=True)
>>> # xdoctest: +REQUIRES(--show)
>>> import wbia.plottool as pt
>>> pt.quit_if_noshow()
>>> iteract_obj = pt.interact_multi_image.MultiImageInteraction(thumbs, nPerPage=4)
>>> iteract_obj.start()
>>> pt.show_if_requested()

wbia.core_images.compute_web_src(depc, gid_list, config=None)[source]

Compute the web src

Parameters

depc (wbia.depends_cache.DependencyCache) –
gid_list (list) – list of image rowids
config (dict) – (default = None)

Yields

(str) – tup

CommandLine:: wbia –tf compute_web_src –show –db PZ_MTEST

Example

>>> # ENABLE_DOCTEST
>>> from wbia.core_images import *  # NOQA
>>> import wbia
>>> defaultdb = 'testdb1'
>>> ibs = wbia.opendb(defaultdb=defaultdb)
>>> depc = ibs.depc_image
>>> gid_list = ibs.get_valid_gids()[0:10]
>>> thumbs = depc.get_property('web_src', gid_list, 'src', recompute=True)
>>> thumb = thumbs[0]
>>> hash_str = ut.hash_data(thumb)
>>> assert hash_str in ['yerctlgfqosrhmjpqvkbmnoocagfqsna', 'wcuppmpowkvhfmfcnrxdeedommihexfu'], 'Found %r' % (hash_str, )

wbia.core_images.draw_thumb_helper(thumbsize, gpath, orient, bbox_list, theta_list, interest_list)[source]

wbia.core_images.draw_web_src(gpath, orient)[source]

wbia.core_images.get_localization_aoi2(ibs, loc_id_list, target_size=(192, 192))[source]

wbia.core_images.get_localization_chips(ibs, loc_id_list, target_size=(128, 128), axis_aligned=False)[source]

wbia.core_images.get_localization_chips_worker(gid, img, bbox_list, theta_list, target_size, axis_aligned=False)[source]

wbia.core_images.get_localization_masks(ibs, loc_id_list, target_size=(128, 128))[source]

wbia.core_images.get_localization_masks_worker(gid, img, bbox_list, theta_list, target_size)[source]

wbia.core_images.load_text(fpath)[source]

wbia.core_images.save_text(fpath, text)[source]

wbia.core_parts

Extracts parts chips from image and applies optional image normalizations.

wbia.core_parts.compute_part_chip(depc, part_rowid_list, config=None)[source]

Extracts the part chip from the bounding box

Parameters

depc (wbia.depends_cache.DependencyCache) –
part_rowid_list (list) – list of part rowids
config (dict) – (default = None)

Yields

(uri, int, int) – tup

CommandLine:

wbia –tf compute_part_chip

Doctest:

>>> from wbia.core_parts import *  # NOQA
>>> import wbia
>>> import random
>>> defaultdb = 'testdb1'
>>> ibs = wbia.opendb(defaultdb=defaultdb)
>>> depc = ibs.depc_part
>>> config = {'dim_size': None}
>>> aid_list = ibs.get_valid_aids()
>>> aid_list = aid_list[:10]
>>> bbox_list = ibs.get_annot_bboxes(aid_list)
>>> bbox_list = [
>>>     (xtl + 100, ytl + 100, w - 100, h - 100)
>>>     for xtl, ytl, w, h in bbox_list
>>> ]
>>> part_rowid_list = ibs.add_parts(aid_list, bbox_list=bbox_list)
>>> chips = depc.get_property('pchips', part_rowid_list, 'img', config=config)
>>> for (xtl, ytl, w, h), chip in zip(bbox_list, chips):
>>>     assert chip.shape == (h, w, 3)
>>> ibs.delete_parts(part_rowid_list)

wbia.demodata

wbia.dev

wbia.filter_configs

wbia.images

class wbia.images.ImageIBEISPropertyInjector(name, bases, dct)[source]: Bases: type

class wbia.images.ImageSetAttrInjector(name, bases, dct)[source]

Bases: type

Example

>>> # SCRIPT
>>> from wbia import _wbia_object
>>> import wbia
>>> ibs = wbia.opendb(defaultdb='testdb1')
>>> objname = 'imageset'
>>> blacklist = []
>>> _wbia_object._find_wbia_attrs(ibs, objname, blacklist)

class wbia.images.ImageSets(gsids, ibs, config=None)[source]

Bases: wbia._wbia_object.ObjectList1D

Represents a group of annotations. Efficiently accesses properties from a database using lazy evaluation.

CommandLine:: python -m wbia.images ImageSets

Example

>>> # DISABLE_DOCTEST
>>> from wbia.images import *  # NOQA
>>> import wbia
>>> ibs = wbia.opendb(defaultdb='testdb1')
>>> gsids = ibs._get_all_imgsetids()
>>> self = ImageSets(gsids, ibs)
>>> print(self)
<ImageSets(num=13)>

property aids

property annots

property configid

property custom_filtered_aids

property duration

property end_time_posix

property fraction_annotmatch_reviewed

property fraction_imgs_reviewed

property fraction_names_with_exemplar

property gids

property gps_lats

property gps_lons

property gsgrids

property image_uuids

property images

property imgsetids_from_text

property imgsetids_from_uuid

property isoccurrence

property name_uuids

property nids

property note

property notes

property num_aids

property num_annotmatch_reviewed

property num_annots_reviewed

property num_gids

property num_imgs_reviewed

property num_names_with_exemplar

property percent_annotmatch_reviewed_str

property percent_imgs_reviewed_str

property percent_names_with_exemplar_str

property processed_flags

rrr(): Dynamic module reloading

property shipped_flags

property smart_waypoint_ids

property smart_xml_contents

property smart_xml_fnames

property start_time_posix

property text

property uuid

property uuids

class wbia.images.Images(rowids, ibs, config=None, caching=False, asarray=False)[source]

Bases: wbia._wbia_object.ObjectList1D

Represents a group of annotations. Efficiently accesses properties from a database using lazy evaluation.

CommandLine:: python -m wbia.images Images –show

Example

>>> # DISABLE_DOCTEST
>>> from wbia.images import *  # NOQA
>>> import wbia
>>> ibs = wbia.opendb(defaultdb='testdb1')
>>> gids = ibs.get_valid_gids()
>>> g = self = images = Images(gids, ibs)
>>> print(g.widths)
>>> print(g)
<Images(num=13)>

property aids

property aids_of_species

property annot_uuids

property annot_uuids_of_species

property annotation_bboxes

property annotation_thetas

property annots

append_to_imageset(imageset_text)[source]

property contributor_rowid

property contributor_tag

property datetime

property datetime_str

property detect_confidence

property detectpaths

property enabled

property exts

property gid

property gids

property glrids

property gnames

property gps

property gps2

property gsgrids

property heights

property imagesettext

property imgset_uuids

property imgsetids

property lat

property location_codes

property lon

property missing_uuid

property name_uuids

property nids

property notes

property num_annotations

property orientation

property orientation_str

property party_rowids

property party_tag

property paths

remove_from_imageset(imageset_text)[source]

property reviewed

rrr(): Dynamic module reloading

show(*args, **kwargs)[source]

property sizes

property species_rowids

property species_uuids

property thumbpath

property thumbtup

property time_statstr

property timedelta_posix

property unixtime

property unixtime2

property unixtime_asfloat

property uris

property uris_original

property uuids

property widthsimgdata

wbia.images.images(ibs, gids=None, uuids=None, **kwargs)[source]: Makes an Images object

wbia.images.imagesets(ibs, gsids=None, text=None)[source]

wbia.params

DEPRICATE THIS ENTIRE FILE

this module lists most of the command line args available for use. there are still many cases where util_arg.get_argval and util_arg.get_argflag are used instead of this module. Those command line arguments will not be represented here and they should eventually be integrated into this module (hopefully automagically)

TODO: nnkj/enerate this module automagically from

import utool as ut utool_parse_codeblock = ut.util_arg.autogen_argparse_block(extra_args=parsed_args) ut.util_arg.reset_argrecord() import wbia parsed_args = ut.util_arg.parse_used_arg_flags_and_vals(wbia, recursive=True) wbia_parse_codeblock = ut.util_arg.autogen_argparse_block(extra_args=parsed_args)

ut.util_arg.autogenerate_parse_py([utool_parse_codeblock, wbia_parse_codeblock])

utool_parse_codeblock ut.util_arg

print(parse_codeblock)

wbia.params.parse_args()[source]

wbia.tag_funcs

wbia.tag_funcs.append_annot_case_tags(ibs, aid_list, tag_list)[source]

Generally appends tags to annotations. Careful not to introduce too many random tags. Maybe we should just let that happen and introduce tag-aliases

Note: this is more of a set add rather than a list append

TODO: remove

wbia.tag_funcs.consolodate_annotmatch_tags(old_tags)[source]

wbia.tag_funcs.export_tagged_chips(ibs, aid_list, dpath='.')[source]

DEPRICATE

CommandLine:: python -m wbia.tag_funcs –exec-export_tagged_chips –tags Hard interesting needswork –db PZ_Master1 python -m wbia.tag_funcs –exec-export_tagged_chips –logic=or –any_startswith quality occlusion –has_any lighting needswork interesting hard –db GZ_Master1 –dpath=/media/raid python -m wbia.tag_funcs –exec-export_tagged_chips –db GZ_Master1 –min_num=1 –dpath /media/raid

Example

>>> # SCRIPT
>>> from wbia.tag_funcs import *  # NOQA
>>> import wbia
>>> ibs = wbia.opendb(defaultdb='testdb1')
>>> kwargs = ut.argparse_dict(ut.get_kwdefaults2(filterflags_general_tags), type_hint=ut.ddict(list, logic=str))
>>> ut.print_dict(kwargs, 'filter args')
>>> aid_list = ibs.filter_annots_by_tags(**kwargs)
>>> print('len(aid_list) = %r' % (len(aid_list),))
>>> dpath = ut.get_argval('--dpath', default='')
>>> all_tags = ut.flatten(ibs.get_annot_all_tags(aid_list))
>>> filtered_tag_hist = ut.dict_hist(all_tags)
>>> ut.print_dict(filtered_tag_hist, key_order_metric='val')
>>> export_tagged_chips(ibs, aid_list, dpath)

wbia.tag_funcs.filter_aidpairs_by_tags(ibs, has_any=None, has_all=None, min_num=None, max_num=None, am_rowids=None)[source]: list(zip(aid_pairs, undirected_tags))

wbia.tag_funcs.filter_annotmatch_by_tags(ibs, annotmatch_rowids=None, **kwargs)[source]

ignores case

Parameters

ibs (IBEISController) – wbia controller object
flags –

Returns

list

CommandLine:

python -m wbia.tag_funcs –exec-filter_annotmatch_by_tags –show python -m wbia.tag_funcs –exec-filter_annotmatch_by_tags –show –db PZ_Master1 –min-num=1 python -m wbia.tag_funcs –exec-filter_annotmatch_by_tags –show –db PZ_Master1 –tags JoinCase python -m wbia.tag_funcs –exec-filter_annotmatch_by_tags –show –db PZ_Master1 –tags SplitCase python -m wbia.tag_funcs –exec-filter_annotmatch_by_tags –show –db PZ_Master1 –tags occlusion python -m wbia.tag_funcs –exec-filter_annotmatch_by_tags –show –db PZ_Master1 –tags viewpoint python -m wbia.tag_funcs –exec-filter_annotmatch_by_tags –show –db PZ_Master1 –tags SceneryMatch python -m wbia.tag_funcs –exec-filter_annotmatch_by_tags –show –db PZ_Master1 –tags Photobomb

python -m wbia.tag_funcs –exec-filter_annotmatch_by_tags –show –db GZ_Master1 –tags needswork

Example

>>> # DISABLE_DOCTEST
>>> from wbia.tag_funcs import *  # NOQA
>>> import wbia
>>> #ibs = wbia.opendb(defaultdb='testdb1')
>>> ibs = wbia.opendb(defaultdb='PZ_Master1')
>>> #tags = ['Photobomb', 'SceneryMatch']
>>> has_any = ut.get_argval('--tags', type_=list, default=['SceneryMatch', 'Photobomb'])
>>> min_num = ut.get_argval('--min_num', type_=int, default=1)
>>> prop = has_any[0]
>>> filtered_annotmatch_rowids = filter_annotmatch_by_tags(ibs, None, has_any=has_any, min_num=min_num)
>>> aid1_list = np.array(ibs.get_annotmatch_aid1(filtered_annotmatch_rowids))
>>> aid2_list = np.array(ibs.get_annotmatch_aid2(filtered_annotmatch_rowids))
>>> aid_pairs = np.vstack([aid1_list, aid2_list]).T
>>> # Dont double count
>>> xs = vt.find_best_undirected_edge_indexes(aid_pairs)
>>> aid1_list = aid1_list.take(xs)
>>> aid2_list = aid2_list.take(xs)
>>> valid_tags_list = ibs.get_annotmatch_case_tags(filtered_annotmatch_rowids)
>>> print('valid_tags_list = %s' % (ut.repr2(valid_tags_list, nl=1),))
>>> #
>>> print('Aid pairs with has_any=%s' % (has_any,))
>>> print('Aid pairs with min_num=%s' % (min_num,))
>>> print('aid_pairs = ' + ut.repr2(list(zip(aid1_list, aid2_list))))
>>> # Show timedelta info
>>> ut.quit_if_noshow()
>>> timedelta_list = ibs.get_annot_pair_timedelta(aid1_list, aid2_list)
>>> import wbia.plottool as pt
>>> pt.draw_timedelta_pie(timedelta_list, label='timestamp of tags=%r' % (has_any,))
>>> ut.show_if_requested()

wbia.tag_funcs.filter_annots_by_tags(ibs, aid_list=None, **kwargs)[source]

Filter / Find / Search for annotations with particular tags

CommandLine:: python -m wbia.tag_funcs –exec-filter_annots_by_tags –helpx python -m wbia.tag_funcs –exec-filter_annots_by_tags –db GZ_Master1 python -m wbia.tag_funcs –exec-filter_annots_by_tags –db GZ_Master1 –min_num=1 python -m wbia.tag_funcs –exec-filter_annots_by_tags –db GZ_Master1 –has_any=lighting –has_all=lighting:underexposed –show
SeeAlso:: python -m wbia.init.filter_annots –exec-filter_annots_general

Example

>>> # ENABLE_DOCTEST
>>> from wbia.tag_funcs import *  # NOQA
>>> import wbia
>>> ibs = wbia.opendb(defaultdb='testdb1')
>>> aid_list = ibs.get_valid_aids()
>>> kwargs = ut.argparse_dict(ut.get_kwdefaults2(filterflags_general_tags), type_hint=ut.ddict(list, logic=str))
>>> ut.print_dict(kwargs, 'filter args')
>>> aid_list = ibs.filter_annots_by_tags(aid_list, **kwargs)
>>> print('len(aid_list) = %r' % (len(aid_list),))
>>> # print results
>>> all_tags = ut.flatten(ibs.get_annot_all_tags(aid_list))
>>> filtered_tag_hist = ut.dict_hist(all_tags)
>>> ut.print_dict(filtered_tag_hist, key_order_metric='val')
>>> print('len(aid_list) = %r' % (len(aid_list),))
>>> print('sum(tags) = %r' % (sum(filtered_tag_hist.values()),))
>>> ut.quit_if_noshow()
>>> import wbia.viz.interact
>>> wbia.viz.interact.interact_chip.interact_multichips(ibs, aid_list)
>>> ut.show_if_requested()

wbia.tag_funcs.filterflags_annot_tags(ibs, aid_list, **kwargs)[source]: Filter / Find / Search for annotations with particular tags

wbia.tag_funcs.filterflags_general_tags(tags_list, has_any=None, has_all=None, has_none=None, min_num=None, max_num=None, any_startswith=None, any_endswith=None, any_match=None, none_match=None, logic='and')[source]

maybe integrate into utool? Seems pretty general

Parameters

tags_list (list) –
has_any (None) – (default = None)
has_all (None) – (default = None)
min_num (None) – (default = None)
max_num (None) – (default = None)

CommandLine:: python -m wbia.tag_funcs –exec-filterflags_general_tags python -m wbia.tag_funcs –exec-filterflags_general_tags:0 –helpx python -m wbia.tag_funcs –exec-filterflags_general_tags:0 python -m wbia.tag_funcs –exec-filterflags_general_tags:0 –none_match n python -m wbia.tag_funcs –exec-filterflags_general_tags:0 –has_none=n,o python -m wbia.tag_funcs –exec-filterflags_general_tags:1 python -m wbia.tag_funcs –exec-filterflags_general_tags:2

Example

>>> # DISABLE_DOCTEST
>>> from wbia.tag_funcs import *  # NOQA
>>> tags_list = [['v'], [], ['P'], ['P', 'o'], ['n', 'o',], [], ['n', 'N'], ['e', 'i', 'p', 'b', 'n'], ['q', 'v'], ['n'], ['n'], ['N']]
>>> kwargs = ut.argparse_dict(ut.get_kwdefaults2(filterflags_general_tags), type_hint=list)
>>> print('kwargs = %r' % (kwargs,))
>>> flags = filterflags_general_tags(tags_list, **kwargs)
>>> print(flags)
>>> result = ut.compress(tags_list, flags)
>>> print('result = %r' % (result,))

Example

>>> # ENABLE_DOCTEST
>>> from wbia.tag_funcs import *  # NOQA
>>> tags_list = [['v'], [], ['P'], ['P'], ['n', 'o',], [], ['n', 'N'], ['e', 'i', 'p', 'b', 'n'], ['n'], ['n'], ['N']]
>>> has_all = 'n'
>>> min_num = 1
>>> flags = filterflags_general_tags(tags_list, has_all=has_all, min_num=min_num)
>>> result = ut.compress(tags_list, flags)
>>> print('result = %r' % (result,))

Example

>>> # DISABLE_DOCTEST
>>> from wbia.tag_funcs import *  # NOQA
>>> tags_list = [['vn'], ['vn', 'no'], ['P'], ['P'], ['n', 'o',], [], ['n', 'N'], ['e', 'i', 'p', 'b', 'n'], ['n'], ['n', 'nP'], ['NP']]
>>> kwargs = {
>>>     'any_endswith': 'n',
>>>     'any_match': None,
>>>     'any_startswith': 'n',
>>>     'has_all': None,
>>>     'has_any': None,
>>>     'has_none': None,
>>>     'max_num': 3,
>>>     'min_num': 1,
>>>     'none_match': ['P'],
>>> }
>>> flags = filterflags_general_tags(tags_list, **kwargs)
>>> filtered = ut.compress(tags_list, flags)
>>> result = ('result = %s' % (ut.repr2(filtered),))
result = [['vn', 'no'], ['n', 'o'], ['n', 'N'], ['n'], ['n', 'nP']]

wbia.tag_funcs.get_aidpair_tags(ibs, aid1_list, aid2_list, directed=True)[source]

Parameters

ibs (IBEISController) – wbia controller object
aid1_list (list) –
aid2_list (list) –
directed (bool) – (default = True)

Returns

tags_list

Return type

list

CommandLine:: python -m wbia.tag_funcs –exec-get_aidpair_tags –db PZ_Master1 –tags Hard interesting

Example

>>> # DISABLE_DOCTEST
>>> from wbia.tag_funcs import *  # NOQA
>>> import wbia
>>> ibs = wbia.opendb(defaultdb='testdb1')
>>> has_any = ut.get_argval('--tags', type_=list, default=None)
>>> min_num = ut.get_argval('--min_num', type_=int, default=1)
>>> aid_pairs = filter_aidpairs_by_tags(ibs, has_any=has_any, min_num=1)
>>> aid1_list = aid_pairs.T[0]
>>> aid2_list = aid_pairs.T[1]
>>> undirected_tags = get_aidpair_tags(ibs, aid1_list, aid2_list, directed=False)
>>> tagged_pairs = list(zip(aid_pairs.tolist(), undirected_tags))
>>> print(ut.repr2(tagged_pairs))
>>> tag_dict = ut.groupby_tags(tagged_pairs, undirected_tags)
>>> print(ut.repr2(tag_dict, nl=2))
>>> print(ut.repr2(ut.map_dict_vals(len, tag_dict)))

wbia.tag_funcs.get_annot_all_tags(ibs, aid_list=None)[source]

CommandLine:: python -m wbia.tag_funcs –exec-get_annot_all_tags –db GZ_Master1

Example

>>> # ENABLE_DOCTEST
>>> from wbia.tag_funcs import *  # NOQA
>>> import wbia
>>> ibs = wbia.opendb(defaultdb='testdb1')
>>> aid_list = ibs.get_valid_aids()
>>> all_tags = ut.flatten(ibs.get_annot_all_tags(aid_list))
>>> tag_hist = ut.dict_hist(all_tags)
>>> ut.print_dict(tag_hist)

wbia.tag_funcs.get_annot_annotmatch_tags(ibs, aid_list)[source]

Parameters

ibs (IBEISController) – wbia controller object
aid_list (list) – list of annotation rowids

Returns

annotmatch_tags_list

Return type

list

CommandLine:: python -m wbia.tag_funcs –exec-get_annot_annotmatch_tags –db GZ_Master1

Example

>>> # ENABLE_DOCTEST
>>> from wbia.tag_funcs import *  # NOQA
>>> import wbia
>>> ibs = wbia.opendb(defaultdb='testdb1')
>>> aid_list = ibs.get_valid_aids()
>>> all_tags = ut.flatten(get_annot_annotmatch_tags(ibs, aid_list))
>>> tag_hist = ut.dict_hist(all_tags)
>>> ut.print_dict(tag_hist)

wbia.tag_funcs.get_annot_case_tags(ibs, aid_list)[source]

returns list of tags. Use instead of get_annot_tag_text .. todo:: rename to get_annot_unary_tags

Parameters

ibs (IBEISController) – wbia controller object
aid_list (list) – list of annotation rowids

Returns

tags_list

Return type

list

CommandLine:: python -m wbia.tag_funcs –exec-get_annot_case_tags

Example

>>> # ENABLE_DOCTEST
>>> from wbia.tag_funcs import *  # NOQA
>>> from wbia.tag_funcs import _parse_tags # NOQA
>>> import wbia
>>> ibs = wbia.opendb(defaultdb='testdb1')
>>> aid_list = ibs.get_valid_aids()
>>> tags_list = get_annot_case_tags(ibs, aid_list)
>>> result = ('tags_list = %s' % (str(tags_list),))
>>> print(result)

Ignore:

# FIXME incorrporate old tag notes aid_list = ibs.get_valid_aids() notes_list = ibs.get_annot_notes(aid_list) flags = [len(notes) > 0 for notes in notes_list] aid_list = ut.compress(aid_list, flags) notes_list = ut.compress(notes_list, flags)

import re notes_list = [note.replace(‘rfdetect’, ‘’) for note in notes_list] notes_list = [note.replace(‘<COMMA>’, ‘;’) for note in notes_list] notes_list = [note.replace(‘jpg’, ‘’) for note in notes_list] notes_list = [note.replace(‘<HARDCASE>’, ‘’) for note in notes_list] notes_list = [note.strip() for note in notes_list] notes_list = [re.sub(‘;;*’, ‘;’, note) for note in notes_list] notes_list = [note.strip(‘;’) for note in notes_list] notes_list = [note.strip(‘:’) for note in notes_list] notes_list = [note.strip() for note in notes_list]

flags = [len(notes) < 70 and len(notes) > 0 for notes in notes_list] aid_list = ut.compress(aid_list, flags) notes_list = ut.compress(notes_list, flags)

flags = [‘M;’ not in notes and ‘F;’ not in notes and ‘H1’ not in notes for notes in notes_list] flags = [ ‘M;’ not in notes and ‘F;’ not in notes and ‘H1’ not in notes for notes in notes_list] aid_list = ut.compress(aid_list, flags) notes_list = ut.compress(notes_list, flags)

flags = [‘aliases’ not in notes for notes in notes_list] aid_list = ut.compress(aid_list, flags) notes_list = ut.compress(notes_list, flags)

#flags = [not re.match(‘;d*;’, note) for note in notes_list] flags = [not re.match(r’dd*’, note) for note in notes_list] aid_list = ut.compress(aid_list, flags) notes_list = ut.compress(notes_list, flags)

flags = [not notes.startswith(‘Foal;’) for notes in notes_list] aid_list = ut.compress(aid_list, flags) notes_list = ut.compress(notes_list, flags)

old_tags_list = [_parse_tags(note) for note in notes_list]

old_tags = list(set(ut.flatten(old_tags_list))) old_tags = sorted([tag for tag in old_tags if not re.match(r’dd*’, tag)])

old_to_new = {: ‘gash’: None, ‘pose’: ‘novelpose’, ‘vocalizing’: ‘novelpose’ ‘occlusion’: ‘occlusion’,

}

Ignore:

python -m wbia.tag_funcs –exec-filter_annotmatch_by_tags –show –db PZ_Master1 –tags viewpoint

wbia.tag_funcs.get_annot_prop(ibs, prop, aid_list)[source]: Annot tags

wbia.tag_funcs.get_annotmatch_case_tags(ibs, annotmatch_rowids)[source]

Parameters

ibs (IBEISController) – wbia controller object
annotmatch_rowids –

Returns

filtered_aid_list

Return type

list

CommandLine:: python -m wbia.tag_funcs –exec-get_annotmatch_case_tags

Example

>>> # DISABLE_DOCTEST
>>> from wbia.tag_funcs import *  # NOQA
>>> import wbia
>>> ibs = wbia.opendb(defaultdb='PZ_Master1')
>>> annotmatch_rowids = ibs._get_all_annotmatch_rowids()
>>> tags_list = get_annotmatch_case_tags(ibs, annotmatch_rowids)
>>> result = ('tags_list = %s' % (str(tags_list),))
>>> print(result)
tags_list = [[u'occlusion', u'pose', 'Hard', 'NonDistinct'], [], ['Hard']]

wbia.tag_funcs.get_annotmatch_other_prop(ibs, prop, annotmatch_rowids)[source]

wbia.tag_funcs.get_annotmatch_prop(ibs, prop, annotmatch_rowids)[source]

hacky getter for dynamic properties of annotmatches using notes table

Parameters

prop (str) –
annotmatch_rowids –

Returns

filtered_aid_list

Return type

list

CommandLine:: python -m wbia.tag_funcs –exec-get_annotmatch_prop

Example

>>> # DISABLE_DOCTEST
>>> # Test setting and getting standard keys
>>> from wbia.tag_funcs import *  # NOQA
>>> import wbia
>>> ibs = wbia.opendb(defaultdb='testdb1')
>>> prop = 'hard'
>>> annotmatch_rowids = ibs._get_all_annotmatch_rowids()
>>> flag_list = get_annotmatch_prop(ibs, prop, annotmatch_rowids)
>>> flag_list = ('filtered_aid_list = %s' % (str(flag_list),))
>>> subset_rowids = annotmatch_rowids[::2]
>>> set_annotmatch_prop(ibs, prop, subset_rowids, [True] * len(subset_rowids))
>>> flag_list2 = get_annotmatch_prop(ibs, prop, annotmatch_rowids)
>>> print('flag_list2 = %r' % (flag_list2,))

Example

>>> # DISABLE_DOCTEST
>>> # Test setting and getting non-standard keys
>>> from wbia.tag_funcs import *  # NOQA
>>> import wbia
>>> ibs = wbia.opendb(defaultdb='testdb1')
>>> prop = 'occlusion'
>>> annotmatch_rowids = ibs._get_all_annotmatch_rowids()
>>> flag_list = get_annotmatch_prop(ibs, prop, annotmatch_rowids)
>>> flag_list = ('filtered_aid_list = %s' % (str(flag_list),))
>>> subset_rowids = annotmatch_rowids[1::2]
>>> subset_rowids1 = annotmatch_rowids[::2]
>>> set_annotmatch_prop(ibs, prop, subset_rowids1, [True] * len(subset_rowids))
>>> set_annotmatch_prop(ibs, 'pose', subset_rowids1, [True] * len(subset_rowids))
>>> flag_list2 = get_annotmatch_prop(ibs, prop, annotmatch_rowids)
>>> print('flag_list2 = %r' % (flag_list2,))

wbia.tag_funcs.get_annotmatch_standard_prop(ibs, prop, annotmatch_rowids)[source]

wbia.tag_funcs.get_available_annot_tags()[source]

wbia.tag_funcs.get_cate_categories()[source]

wbia.tag_funcs.get_textformat_tag_flags(prop, text_list)[source]: general text tag getter hack

wbia.tag_funcs.overwrite_annot_case_tags(ibs, aid_list, tag_list)[source]: Completely replaces annotation tags. BE VERY CAREFUL WITH THIS FUNCTION

wbia.tag_funcs.remove_all_annot_case_tags(ibs, aid_list)[source]

wbia.tag_funcs.remove_annot_case_tags(ibs, aid_list, tag_list)[source]

wbia.tag_funcs.rename_and_reduce_tags(ibs, annotmatch_rowids)[source]

Script to update tags to newest values

CommandLine:

python -m wbia.tag_funcs –exec-rename_and_reduce_tags –db PZ_Master1

Ignore:

>>> from wbia.tag_funcs import *  # NOQA
>>> import wbia
>>> #ibs = wbia.opendb(defaultdb='PZ_Master1')
>>> ibs = wbia.opendb(defaultdb='testdb1')
>>> annotmatch_rowids = filter_annotmatch_by_tags(ibs, min_num=1)
>>> rename_and_reduce_tags(ibs, annotmatch_rowids)

wbia.tag_funcs.set_annot_case_tags(ibs, aid_list, new_tags_list)[source]: Completely overwrite case tags

wbia.tag_funcs.set_annot_prop(ibs, prop, aid_list, flags)[source]: sets nonstandard properties using the notes column

wbia.tag_funcs.set_annotmatch_other_prop(ibs, prop, annotmatch_rowids, flags)[source]: sets nonstandard properties using the notes column

wbia.tag_funcs.set_annotmatch_prop(ibs, prop, annotmatch_rowids, flags)[source]: hacky setter for dynamic properties of annotmatches using notes table

wbia.tag_funcs.set_textformat_tag_flags(prop, text_list, flags)[source]: general text tag setter hack

API

wbia.__main__

wbia._devcmds_wbia

wbia._devscript

wbia._wbia_object

wbia.annotmatch_funcs

wbia.annots

wbia.constants

wbia.core_annots

wbia.core_images

wbia.core_parts

wbia.demodata

wbia.dev

wbia.filter_configs

wbia.images

wbia.params

wbia.tag_funcs

Module contents

wbia.main