def test_create_event(self):
g, system = get_initialized_graph_and_system()
# make event with type election
election = aifutils.make_event(g, prefix + "event/1", system)
aifutils.mark_type(g, prefix + "types/1", election, "Q40231", system,
1.0)
# make entity with type person
putin = aifutils.make_entity(g, prefix + "entity/putin", system)
aifutils.mark_type(g, prefix + "types/2", putin, "Q5", system, 1.0)
# make entity with type political region
russia = aifutils.make_entity(g, prefix + "enitty/russia", system)
aifutils.mark_type(g, prefix + "types/3", russia, "Q1048835", system,
1.0)
# add putin as cadidate for the election
aifutils.mark_as_argument(g, election, "A1_ppt_theme_candidate", putin,
system, .785, prefix + "arg/candidate")
# add russia as location for election
aifutils.mark_as_argument(g, election, "AM_loc__location", russia,
system, .589, prefix + "arg/location")
self.new_file(g, "test_create_event.ttl")
self.dump_graph(g, "Example of event and entity")
def test_create_an_event_argument_add_invalid_attribute(self):
#g = get_initialized_graph()
g = aifutils.make_graph()
# every AIF needs an object for the system responsible for creating it
system = aifutils.make_system_with_uri(
g, "http://www.test.edu/testSystem")
# we make a resource for the event itself
event = aifutils.make_event(g, "http://www.test.edu/events/1", system)
# mark the event as a Personnel.Elect event; type is encoded separately so we can express
# uncertainty about type
aifutils.mark_type(g, "http://www.test.edu/assertions/5", event,
ldc_ontology.Personnel_Elect, system, 1.0)
# create the two entities involved in the event
electee = aifutils.make_entity(g, "http://www.test.edu/entities/1",
system)
aifutils.mark_type(g, "http://www.test.edu/assertions/6", electee,
ldc_ontology.PER, system, 1.0)
election_country = aifutils.make_entity(
g, "http://www.test.edu/entities/2", system)
aifutils.mark_type(g, "http://www.test.edu/assertions/7",
election_country, ldc_ontology.GPE, system, 1.0)
# link those entities to the event
argument1 = aifutils.mark_as_argument(
g, event, ldc_ontology.Personnel_Elect_Candidate, electee, system,
0.785)
argument2 = aifutils.mark_as_argument(
g, event, ldc_ontology.Personnel_Elect_Place, election_country,
system, 0.589)
aifutils.mark_attribute(g, argument1, interchange_ontology.Irrealis)
aifutils.mark_attribute(g, argument1, interchange_ontology.Generic)
aifutils.mark_attribute(
g, argument2,
interchange_ontology.VideoJustificationChannelPicture)
aifutils.mark_attribute(
g, argument2, interchange_ontology.VideoJustificationChannelSound)
self.new_file(
g, "test_create_an_event_argument_add_invalid_attribute.ttl")
self.dump_graph(
g,
"Invalid: Semantic Attribute for Event Argument, must be aida:Negated, aida:Hedged"
)
def test_create_a_relation_argument_add_attribute(self):
#g = get_initialized_graph()
g = aifutils.make_graph()
# every AIF needs an object for the system responsible for creating it
system = aifutils.make_system_with_uri(
g, "http://www.test.edu/testSystem")
bob = aifutils.make_entity(g, "http://www.test.edu/entites/person/Bob",
system)
maryland = aifutils.make_entity(
g, "http://www.test.edu/entites/place/Maryland", system)
aifutils.mark_type(g, "http://www.test.edu/assertions/bobIsAPerson",
bob, ldc_ontology.PER, system, 1.0)
aifutils.mark_type(
g, "http://www.test.edu/assertions/marylandIsALocation", maryland,
ldc_ontology.LOC_Position_Region, system, 1.0)
# we make a resource for the event itself
relationBobLiveInMD = aifutils.make_relation(
g, "http://www.test.edu/relationss/bobLivesInMaryland", system)
argument1 = aifutils.mark_as_argument(
g, relationBobLiveInMD, ldc_ontology.Physical_Resident_Resident,
bob, system, 1)
aifutils.mark_attribute(g, argument1, interchange_ontology.Generic)
self.new_file(g, "test_create_a_relation_argument_add_attribute.ttl")
self.dump_graph(
g, "Invalid: Relation Argument cannot have aida:Attribute")
def test_create_seedling_event_with_event_argument_uri(self):
g = aifutils.make_graph()
# every AIF needs an object for the system responsible for creating it
system = aifutils.make_system_with_uri(
g, "http://www.test.edu/testSystem")
# we make a resource for the event itself
event = aifutils.make_event(g, "http://www.test.edu/events/1", system)
# mark the event as a Personnel.Elect event; type is encoded separately so we can express
# uncertainty about type
event_type_string = "Personnel.Elect"
aifutils.mark_type(g, "http://www.test.edu/assertions/5", event,
SEEDLING_TYPES_NIST[event_type_string], system, 1.0)
# create the two entities involved in the event
electee = aifutils.make_entity(g, "http://www.test.edu/entities/1",
system)
aifutils.mark_type(g, "http://www.test.edu/assertions/7", electee,
SEEDLING_TYPES_NIST.Person, system, 1.0)
election_country = aifutils.make_entity(
g, "http://www.test.edu/entities/2", system)
aifutils.mark_type(g, "http://www.test.edu/assertions/7",
election_country,
SEEDLING_TYPES_NIST.GeopoliticalEntity, system, 1.0)
# link those entities to the event
aifutils.mark_as_argument(
g, event, SEEDLING_TYPES_NIST[event_type_string] + "_Elect",
electee, system, .785, "http://www.test.edu/eventArgument/1")
aifutils.mark_as_argument(
g, event, SEEDLING_TYPES_NIST[event_type_string] + "_Place",
election_country, system, .589,
"http://www.test.edu/eventArgument/2")
self.new_file(
g, "test_create_seedling_event_with_event_argument_uri.ttl")
self.dump_graph(g,
"Example of seedling event with event assertion URI")
def test_create_an_event(self):
g = aifutils.make_graph()
g.bind('ldcOnt', SEEDLING_TYPES_NIST.uri)
# every AIF needs an object for the system responsible for creating it
system = aifutils.make_system_with_uri(
g, "http://www.test.edu/testSystem")
# we make a resource for the event itself
event = aifutils.make_event(g, "http://www.test.edu/events/1", system)
# mark the event as a Personnel.Elect event; type is encoded separately so we can express
# uncertainty about type
aifutils.mark_type(g, "http://www.test.edu/assertions/5", event,
SEEDLING_TYPES_NIST['Personnel.Elect'], system, 1.0)
# create the two entities involved in the event
electee = aifutils.make_entity(g, "http://www.test.edu/entities/1",
system)
aifutils.mark_type(g, "http://www.test.edu/assertions/6", electee,
SEEDLING_TYPES_NIST.Person, system, 1.0)
election_country = aifutils.make_entity(
g, "http://www.test.edu/entities/2", system)
aifutils.mark_type(g, "http://www.test.edu/assertions/7",
election_country,
SEEDLING_TYPES_NIST.GeopoliticalEntity, system, 1.0)
# link those entities to the event
arg = URIRef(SEEDLING_TYPES_NIST['Personnel.Elect'] + "_Elect")
aifutils.mark_as_argument(g, event, arg, electee, system, 0.785)
arg2 = URIRef(SEEDLING_TYPES_NIST['Personnel.Elect'] + "_Place")
aifutils.mark_as_argument(g, event, arg2, election_country, system,
0.589)
self.new_file(g, "test_create_an_event.ttl")
self.dump_graph(g, "Example of creating an event")
def add_event(self):
# add an event
event_resource = aifutils.make_event(self.g, self.get_event_uri(),
self.system)
# add the type
type_resource = self.EVENT_TYPES[
random.randint(0, len(self.EVENT_TYPES)) - 1]
type_assertion = aifutils.mark_type(self.g, self.get_assertion_uri(),
event_resource, type_resource,
self.system, 1.0)
self.add_justification_and_private_data(type_assertion)
# make two arguments
for i in range(2):
arg = URIRef(type_resource + self.get_random_suffix())
argument = aifutils.mark_as_argument(self.g, event_resource, arg,
self.get_random_entity(),
self.system, 0.785,
self.get_assertion_uri())
self.add_justification_and_private_data(argument)
def test_simple_hypothesis_with_importance_with_cluster(self):
g = aifutils.make_graph()
g.bind('ldcOnt', SEEDLING_TYPES_NIST.uri)
# every AIF needs an object for the system responsible for creating it
system = aifutils.make_system_with_uri(
g, 'http://www.test.edu/testSystem')
# buk document entity
buk = aifutils.make_entity(g, "E779954.00005", system)
buk_is_weapon = aifutils.mark_type(
g,
"https://tac.nist.gov/tracks/SM-KBP/2019/LdcAnnotations#assertion-1",
buk, SEEDLING_TYPES_NIST.Weapon, system, 1.0)
# buk cross-document-entity
buk_kb_entity = aifutils.make_entity(
g, "https://tac.nist.gov/tracks/SM-KBP/2019/LdcAnnotations#E0084",
system)
buk_kb_is_weapon = aifutils.mark_type(
g,
"https://tac.nist.gov/tracks/SM-KBP/2019/LdcAnnotations#assertion-2",
buk_kb_entity, SEEDLING_TYPES_NIST.Weapon, system, 1.0)
# russia document entity
russia = aifutils.make_entity(
g,
"https://tac.nist.gov/tracks/SM-KBP/2019/LdcAnnotations#E779954.00004",
system)
russia_is_gpe = aifutils.mark_type(
g,
"https://tac.nist.gov/tracks/SM-KBP/2019/LdcAnnotations#assertion-3",
russia, SEEDLING_TYPES_NIST.GeopoliticalEntity, system, 1.0)
# cluster buk
buk_cluster = aifutils.make_cluster_with_prototype(
g,
"https://tac.nist.gov/tracks/SM-KBP/2019/LdcAnnotations#cluster-1",
buk_kb_entity, system)
buk_is_clustered = aifutils.mark_as_possible_cluster_member(
g, buk, buk_cluster, .9, system)
# add importance to the cluster - test negative importance
aifutils.mark_importance(g, buk_cluster, -70.234)
# Russia owns buk relation
buk_is_russian = aifutils.make_relation(
g,
"https://tac.nist.gov/tracks/SM-KBP/2019/LdcAnnotations#R779959.00004",
system)
aifutils.mark_type(
g,
"https://tac.nist.gov/tracks/SM-KBP/2019/LdcAnnotations#assertion-4",
buk_is_russian, SEEDLING_TYPES_NIST['GeneralAffiliation.APORA'],
system, 1.0)
buk_argument = aifutils.mark_as_argument(
g, buk_is_russian,
SEEDLING_TYPES_NIST['GeneralAffiliation.APORA_Affiliate'], buk,
system, 1.0)
russia_argument = aifutils.mark_as_argument(
g, buk_is_russian,
SEEDLING_TYPES_NIST['GeneralAffiliation.APORA_Affiliation'],
russia, system, 1.0)
# add importance to the statements
aifutils.mark_importance(g, buk_argument, 100.0)
# add large importance
aifutils.mark_importance(g, russia_argument, 9.999999e6)
# Russia owns buk hypothesis
buk_is_russian_hypothesis = aifutils.make_hypothesis(
g,
"https://tac.nist.gov/tracks/SM-KBP/2019/LdcAnnotations#hypothesis-1",
[
buk, buk_is_weapon, buk_is_clustered, buk_is_russian,
buk_argument, russia_argument
], system)
# test highest possible importance value
aifutils.mark_importance(g, buk_is_russian_hypothesis,
sys.float_info.max)
self.new_file(g, "test_simple_hypothesis_with_importance_cluster.ttl")
self.dump_graph(g, "Simple hypothesis with importance with cluster")
def test_create_compound_justification(self):
g = aifutils.make_graph()
system = aifutils.make_system_with_uri(g, "http://www.test.edu/system")
event = aifutils.make_event(
g,
"https://tac.nist.gov/tracks/SM-KBP/2019/LdcAnnotations#V779961.00010",
system)
event_type_assertion = aifutils.mark_type(
g,
"https://tac.nist.gov/tracks/SM-KBP/2019/LdcAnnotations#assertion-1",
event, SEEDLING_TYPES_NIST['Personnel.Elect'], system, 1.0)
# create the two entities involved in the event
putin = aifutils.make_entity(
g,
"https://tac.nist.gov/tracks/SM-KBP/2019/LdcAnnotations#E781167.00398",
system)
person_type_assertion = aifutils.mark_type(
g,
"https://tac.nist.gov/tracks/SM-KBP/2019/LdcAnnotations#assertion-2",
putin, SEEDLING_TYPES_NIST.Person, system, 1.0)
russia = aifutils.make_entity(
g,
"https://tac.nist.gov/tracks/SM-KBP/2019/LdcAnnotations#E779954.00004",
system)
gpe_type_assertion = aifutils.mark_type(
g,
"https://tac.nist.gov/tracks/SM-KBP/2019/LdcAnnotations#assertion-3",
russia, SEEDLING_TYPES_NIST.GeopoliticalEntity, system, 1.0)
# link those entities to the event
electee_argument = aifutils.mark_as_argument(
g, event, SEEDLING_TYPES_NIST['Personnel.Elect_Elect'], putin,
system, 0.785,
"https://tac.nist.gov/tracks/SM-KBP/2019/LdcAnnotations#assertion-4"
)
place_argument = aifutils.mark_as_argument(
g, event, SEEDLING_TYPES_NIST['Personnel.Elect_Place'], russia,
system, 0.589,
"https://tac.nist.gov/tracks/SM-KBP/2019/LdcAnnotations#assertion-5"
)
# the justification provides the evidence for our claim about the entity's type
# we attach this justification to both the type assertion and the entity object itself, since it provides
# evidence both for the entity's existence and its type.
# in TA1 -> TA2 communications, we attach confidences at the level of justifications
text_justification = aifutils.make_text_justification(
g, "NYT_ENG_20181231", 42, 143, system, 0.973)
aifutils.mark_justification(g, person_type_assertion,
text_justification)
aifutils.mark_justification(g, putin, text_justification)
aifutils.add_source_document_to_justification(
g, text_justification, "NYT_PARENT_ENG_20181231_03")
bb1 = Bounding_Box((123, 45), (167, 98))
# let's suppose we also have evidence from an image
image_justification = aifutils.make_image_justification(
g, "NYT_ENG_20181231_03", bb1, system, 0.123)
bb2 = Bounding_Box((234, 56), (345, 101))
# and also a video where the entity appears in a keyframe
keyframe_video_justification = aifutils.make_keyframe_video_justification(
g, "NYT_ENG_20181231_03", "keyframe ID", bb2, system, .0234)
#and also a video where the entity does not appear in a keyframe
shot_video_justification = aifutils.make_shot_video_justification(
g, "SOME_VIDEO", "some shot ID", system, 0.487)
# and even audio!
audio_justification = aifutils.make_audio_justification(
g, "NYT_ENG_201181231", 4.566, 9.876, system, 0.789)
# combine all justifications into single justifiedBy triple with new confidence
aifutils.mark_compound_justification(g, [electee_argument], [
text_justification, image_justification,
keyframe_video_justification, shot_video_justification,
audio_justification
], system, .321)
aifutils.mark_compound_justification(
g, [place_argument], [text_justification, image_justification],
system, 0.543)
self.new_file(g, "test_create_compound_justification.ttl")
self.dump_graph(g, "Example of compound justification")
def test_use_subgraph_confidences_to_show_mutually_exclusive_linked_event_argument_options(
self):
g = aifutils.make_graph()
g.bind('ldcOnt', SEEDLING_TYPES_NIST.uri)
# every AIF needs an object for the system responsible for creating it
system = aifutils.make_system_with_uri(
g, "http://www.test.edu/testSystem")
# we make a resource for the event itself
event = aifutils.make_event(g, "http://www.test.edu/events/1", system)
# mark the event as a Personnel.Elect event; type is encoded separately so we can express uncertainty about type
aifutils.mark_type(g, "http://www.test.edu/assertions/5", event,
SEEDLING_TYPES_NIST['Conflict.Attack'], system, 1.0)
# create the two entities involved in the event
bob = aifutils.make_entity(g, "http://www.test.edu/entities/1", system)
aifutils.mark_type(g, "http://www.test.edu/assertions/6", bob,
SEEDLING_TYPES_NIST.Person, system, 1.0)
fred = aifutils.make_entity(g, "http://www.test.edu/entities/2",
system)
aifutils.mark_type(g, "http://www.test.edu/assertions/7", fred,
SEEDLING_TYPES_NIST.Person, system, 1.0)
# we link all possible argument fillers to the event
bob_hit_fred_assertions = [
aifutils.mark_as_argument(
g, event,
URIRef(SEEDLING_TYPES_NIST['Conflict.Attack'] + "_Attacker"),
bob, system, None),
aifutils.mark_as_argument(
g, event,
URIRef(SEEDLING_TYPES_NIST['Conflict.Attack'] + "_Target"),
fred, system, None)
]
fred_hit_bob_assertions = [
aifutils.mark_as_argument(
g, event,
URIRef(SEEDLING_TYPES_NIST['Conflict.Attack'] + "_Attacker"),
fred, system, None),
aifutils.mark_as_argument(
g, event,
URIRef(SEEDLING_TYPES_NIST['Conflict.Attack'] + "_Target"),
bob, system, None)
]
# then we mark these as mutually exclusive
# we also mark confidence 0.2 that neither of these are true
aifutils.mark_as_mutually_exclusive(
g, {
tuple(bob_hit_fred_assertions): 0.6,
tuple(fred_hit_bob_assertions): 0.2
}, system, 0.2)
self.new_file(
g,
"test_use_subgraph_confidences_to_show_mutually_exclusive_linked_event_argument_options.ttl"
)
self.dump_graph(
g,
"Example of subgraph confidences to show mutually exclusive linked event argument options"
)
def transferAIF(parent):
chi = child[parent]
if parent in kb_dict.keys():
g = kb_dict[parent]
else:
g = aifutils.make_graph()
entityDic_c = {}
country_set_r = set()
for img_id in chi:
if img_id in flag_dict_s.keys():
country_set_r.add(flag_dict_s[img_id])
#=============== Flag ===========
sys = aifutils.make_system_with_uri(
g, "http://www.columbia.edu/AIDA/DVMM/Systems/Flag/Inception_v4")
for key, value in index_category_f.items():
if key not in country_set_r:
continue
key = key.replace(' ', '_')
name = "http://www.columbia.edu/AIDA/DVMM/Entities/Country/" + str(
value) + '/' + key
entity = aifutils.make_entity(g, name, sys)
entityDic_c[key] = entity
#print "parent "+ parent
type_assertion = aifutils.mark_type(g, \
"http://www.columbia.edu/AIDA/DVMM/TypeAssertion/Country/"\
+str(value)+'/'+key, entity, AIDA_PROGRAM_ONTOLOGY_G.term('GPE'), sys, 1)
for img_id in chi:
if img_id in flag_dict_s.keys():
#print "imgID "+img_id
flag_label = [
'/m/07cmd', '/m/0dzct', '/m/03bt1vf', '/m/01g317', '/m/04yx4',
'/m/01prls', '/m/07yv9', '/m/03120'
]
key = img_id
if key in OD_result.keys():
for n in range(len(OD_result[key])):
eid = "http://www.columbia.edu/AIDA/DVMM/Entities/ObjectDetection/RUN00010/JPG/" + key + "/" + str(
n)
#print OD_result[key][n]['label']
if OD_result[key][n]['label'] in flag_label:
#print OD_result[key][n]['label']
eid = "http://www.columbia.edu/AIDA/DVMM/Entities/ObjectDetection/RUN00010/JPG/" + key + "/" + str(
n)
relation_entity = aifutils.make_relation(g, "http://www.columbia.edu/AIDA/DVMM/Relaion/Flag/"+\
key+"/"+str(n), sys)
#APORA = 'GeneralAffiliation.ArtifactPoliticalOrganizationReligiousAffiliation'
score = 1
type_assertion = aifutils.mark_type(g, "http://www.columbia.edu/AIDA/DVMM/TypeAssertion/Flag/"+key+"/"+str(n), \
relation_entity, AIDA_PROGRAM_ONTOLOGY_A['GeneralAffiliation.ArtifactPoliticalOrganizationReligiousAffiliation.NationalityCitizen'], \
sys, score)
boxA = OD_result[key][n]['bbox']
bb2 = Bounding_Box((boxA[0], boxA[1]),
(boxA[2], boxA[3]))
score = 1
justif = aifutils.mark_image_justification(g, [relation_entity, \
type_assertion], key, bb2, sys, score)
aifutils.add_source_document_to_justification(
g, justif, parent)
aifutils.mark_informative_justification(
g, relation_entity, justif)
score = 1
if eid in entity_dict.keys():
art_argument = aifutils.mark_as_argument(g, relation_entity, \
AIDA_PROGRAM_ONTOLOGY_A['GeneralAffiliation.ArtifactPoliticalOrganizationReligiousAffiliation.NationalityCitizen_Artifact'], \
entity_dict[eid], sys, score)
score = 1
justif = aifutils.mark_image_justification(g, [relation_entity, \
art_argument], key, bb2, sys, score)
aifutils.add_source_document_to_justification(
g, justif, parent)
aifutils.mark_informative_justification(
g, relation_entity, justif)
score = 1
nation_argument = aifutils.mark_as_argument(g, relation_entity, \
AIDA_PROGRAM_ONTOLOGY_A['GeneralAffiliation.ArtifactPoliticalOrganizationReligiousAffiliation.NationalityCitizen_Nationality'], \
entityDic_c[flag_dict_s[img_id]], \
sys, score)
score = 1
justif = aifutils.mark_image_justification(g, [relation_entity, \
nation_argument], key, bb2, sys, score)
aifutils.add_source_document_to_justification(
g, justif, parent)
aifutils.mark_informative_justification(
g, relation_entity, justif)
if OD_result[key][n]['label'] == '/m/03120':
#print flag_dict_s[img_id]
boxA = OD_result[key][n]['bbox']
bb2 = Bounding_Box((boxA[0], boxA[1]),
(boxA[2], boxA[3]))
type_assertion = aifutils.mark_type(g, \
"http://www.columbia.edu/AIDA/DVMM/TypeAssertion/Country/RUN00010/JPG/"+\
str(key)+'/'+str(n), entityDic_c[flag_dict_s[img_id]], AIDA_PROGRAM_ONTOLOGY_G.term('GPE'), sys, 1)
score = 1
justif = aifutils.mark_image_justification(g, [entityDic_c[flag_dict_s[img_id]], type_assertion], \
key, bb2, sys, score)
aifutils.add_source_document_to_justification(
g, justif, parent)
aifutils.mark_informative_justification(
g, entityDic_c[flag_dict_s[img_id]], justif)
#break
#=============== landmark ==========
sys = aifutils.make_system_with_uri(
g, "http://www.columbia.edu/AIDA/DVMM/Systems/Landmark/Delf")
#building
has_land = 0
landmark_name_set = set()
for imageN in chi:
if imageN in landmark_dict.keys():
name_lm = landmark_dict[imageN]
if name_lm == '':
continue
#print name_lm
if name_lm not in landmark_name_set:
landmark_name_set.add(name_lm)
name = "http://www.columbia.edu/AIDA/DVMM/Entities/Landmark/"+ \
str(landmark_id[name_lm])+"/"+name_lm
entity = aifutils.make_entity(g, name, sys)
entityDic_b[name_lm] = entity
#print AIDA_PROGRAM_ONTOLOGY2.term('Person')
score = 1
type_assertion = aifutils.mark_type(g, \
"http://www.columbia.edu/AIDA/DVMM/TypeAssertion/Landmark/"+ \
str(landmark_id[name_lm])+"/"+name_lm \
, entity, AIDA_PROGRAM_ONTOLOGY_b.term('FAC'), sys, score)
if 'Maidan' in name_lm:
aifutils.link_to_external_kb(g, entity,
"LDC2019E43:80000020", sys, 1)
elif 'United_States_Capitol' in name_lm:
aifutils.link_to_external_kb(g, entity,
"LDC2019E43:4140827", sys, 1)
else:
aifutils.link_to_external_kb(g, entity,
VIS_ONTOLOGY_b.term(name_lm),
sys, 1)
for imageN in chi:
total_key.add(imageN)
if imageN in landmark_dict.keys():
#print parent
key = imageN
name_lm = landmark_dict[imageN]
if name_lm == '':
continue
#aifutils.mark_as_possible_cluster_member(g, \
# entity,clusterDic_b[0], 1, sys)
# Need to change in future
im = Image.open(input_img_path + imageN + '.jpg')
width, height = im.size
bb2 = Bounding_Box((0, 0), (width, height)) #l u r d
type_assertion = aifutils.mark_type(g, \
"http://www.columbia.edu/AIDA/DVMM/TypeAssertion/Landmark/RUN00010/JPG/"+\
str(key)+'/'+str(0), entityDic_b[name_lm], AIDA_PROGRAM_ONTOLOGY_b.term('FAC'), sys, 1)
justif = aifutils.mark_image_justification(
g, [entityDic_b[name_lm], type_assertion], key, bb2, sys, 1)
aifutils.add_source_document_to_justification(g, justif, parent)
aifutils.mark_informative_justification(g, entityDic_b[name_lm],
justif)
#=============face recognition=============
sys = aifutils.make_system_with_uri(
g, "http://www.columbia.edu/AIDA/DVMM/Systems/Face/FaceNet")
NameDetected = set()
NameDetected_score = {}
nameCount = Counter()
count = 0
c_num = 0
person_c_n = 0
#print comblineSet
In = 0
#print bb
featureDic = {}
first = 1
entityList = []
arrayList = []
person_label = [
'/m/01g317', '/m/04yx4', '/m/03bt1vf', '/m/01bl7v', '/m/05r655',
'/m/04hgtk', '/m/01bgsw'
]
for x, y in result.items():
#print x
data = x.split('/')[-1]
if '._' in data:
continue
data2 = data.split('_')
#print data2[0]
#print data2[1][:-4]
key = data2[0]
i = data2[1][:-4]
#print chi
#print key
if key not in chi:
continue
if y[0].replace(' ', '_') not in nameSet or nameDic[y[0].replace(
' ', '_')] not in p1Set or float(y[1]) < 0.04 or y[0].replace(
' ', '_') == 'Ban_Ki-moon':
continue
else:
NameDetected.add(nameDic[y[0].replace(' ', '_')])
score = float(y[1]) + 0.5
NameDetected_score[nameDic[y[0].replace(' ', '_')]] = min(1, score)
for x, y in result2.items():
#print x
data = x.split('/')[-2]
if '._' in data:
continue
data = x.split('/')[-1]
data2 = data.split('_')
key = x.split('/')[-2]
if videoDic[key] not in chi:
continue
if y[0].replace(' ', '_') not in nameSet or nameDic[y[0].replace(
' ', '_')] not in p1Set or float(y[1]) < 0.04 or y[0].replace(
' ', '_') == 'Ban_Ki-moon':
continue
else:
NameDetected.add(nameDic[y[0].replace(' ', '_')])
score = float(y[1]) + 0.5
NameDetected_score[nameDic[y[0].replace(' ', '_')]] = min(1, score)
for key, value in index_category.items(): #key name. value is number
if key not in NameDetected:
continue
key = key.replace(' ', '_')
#keu = entityDic
name = "http://www.columbia.edu/AIDA/DVMM/Entities/FaceID/" + str(
value) + '/' + key
entity = aifutils.make_entity(g, name, sys)
entityDic[key] = entity
#print AIDA_PROGRAM_ONTOLOGY2.term('Person')
#score = NameDetected_score[key]
type_assertion = aifutils.mark_type(g, \
"http://www.columbia.edu/AIDA/DVMM/TypeAssertion/FaceID/"\
+str(value)+'/'+key, entity, AIDA_PROGRAM_ONTOLOGY2.term('PER'), sys, 1)
new_key = key.lower().replace('_', ' ')
if new_key in name2ID.keys():
aifutils.link_to_external_kb(g, entity,
"LDC2019E43:" + name2ID[new_key], sys,
1)
#print 'Lorelei'
#print parent
else:
a = 0
#print 'dbpedia'
#print parent
aifutils.link_to_external_kb(g, entity, VIS_ONTOLOGY2.term(key),
sys, 1)
for x, y in result.items():
#print x
data = x.split('/')[-1]
if '._' in data:
continue
data2 = data.split('_')
#print data2[0]
#print data2[1][:-4]
key = data2[0]
i = data2[1][:-4]
#print chi
#print key
if key not in chi:
continue
#print chi
#print key
In = 1
name = "http://www.columbia.edu/AIDA/DVMM/Entities/FaceDetection/RUN00010/" + str(
key) + '/' + str(i)
#entityList.append(key)
#entityList.append(entity)
entity = aifutils.make_entity(g, name, sys)
first_cluster = 1
#======================== JPG ===============
eid_list = []
if key in OD_result.keys():
for n in range(len(OD_result[key])):
#print OD_result[key][n]['label']
if OD_result[key][n]['label'] in person_label:
#print OD_result[key][n]['label']
boxA = OD_result[key][n]['bbox']
boxB = (int(bb[x][0]), int(bb[x][1]), int(bb[x][2]),
int(bb[x][3]))
IOA = bb_intersection_over_union(boxA, boxB)
if IOA > 0.9:
#left,top,right,bottom = OD_result[key][n]['bbox']
#if int(bb[x][1]) > left and int(bb[x][0]) > top and int(bb[x][3]) < right and int(bb[x][2]) < bottom:
eid = "http://www.columbia.edu/AIDA/DVMM/Entities/ObjectDetection/RUN00010/JPG/" + key + "/" + str(
n)
#print entity_dic2[key]
#print n
if n in entity_dic2[key]:
#if eid in entity_dict.keys():
score = IOA
eid_list.append(eid)
if first_cluster == 1:
first_cluster = 0
clusterName = aifutils.make_cluster_with_prototype(g, \
"http://www.columbia.edu/AIDA/DVMM/Clusters/HumanBody/RUN00010/JPG/"\
+key+"/"+str(n)+"/"+str(person_c_n),entity, sys)
aifutils.mark_as_possible_cluster_member(g, \
entity_dict[eid],clusterName, score, sys)
if first_cluster == 0:
person_c_n += 1
l, t, r, d = bb[x]
if (r - l) * (d - t) > 3600:
entityList.append(entity)
arrayList.append(y[2])
feature = {}
feature['columbia_vector_faceID_FaceNet'] = y[2].tolist()
json_data = json.dumps(feature)
aifutils.mark_private_data(g, entity, json_data, sys)
#labelrdf = VIS_ONTOLOGY.term(i_id)
#Dscore = value[i][7]
#if Dscore>1:
Dscore = 1
#type_assertion = aifutils.mark_type(g, "Columbia/DVMM/TypeAssertion/FaceRecognition/RUN00003/"+str(i_id)+"/"+str(i)+"/1",
type_assertion = aifutils.mark_type(g, \
"http://www.columbia.edu/AIDA/DVMM/TypeAssertion/FaceDetection/RUN00010/JPG/"+\
str(key)+'/'+str(i), entity, AIDA_PROGRAM_ONTOLOGY2.term('PER'), sys, Dscore)
bb2 = Bounding_Box((bb[x][0], bb[x][1]), (bb[x][2], bb[x][3]))
justif = aifutils.mark_image_justification(g, [entity, type_assertion],
key, bb2, sys, 1)
aifutils.add_source_document_to_justification(g, justif, parent)
aifutils.mark_informative_justification(g, entity, justif)
chi_set.add(key)
parent_set.add(parent)
if y[0].replace(' ', '_') not in nameSet or nameDic[y[0].replace(
' ', '_')] not in p1Set or float(y[1]) < 0.04 or y[0].replace(
' ', '_') == 'Ban_Ki-moon':
continue
else:
#nameCount2+=1
person_set.add(y[0])
doc_N.add(parent)
img_N.add(key)
score = sigmoid(float(y[1]) * 10)
NameDetected.add(nameDic[y[0].replace(' ', '_')])
#print y[0]
entity_key = nameDic[y[0].replace(' ', '_')]
type_assertion = aifutils.mark_type(g, \
"http://www.columbia.edu/AIDA/DVMM/TypeAssertion/FaceID/"\
+str(index_category[entity_key])+'/'+entity_key, entityDic[entity_key], AIDA_PROGRAM_ONTOLOGY2.term('PER'), sys, 1)
justif = aifutils.mark_image_justification(g, [entityDic[nameDic[y[0].replace(' ','_')]], \
type_assertion], key, bb2, sys, score)
aifutils.add_source_document_to_justification(g, justif, parent)
aifutils.mark_informative_justification(
g, entityDic[nameDic[y[0].replace(' ', '_')]], justif)
# entity, labelrdf, sys, score)
#print str(value[i][2]).replace("L",'')
#========================== Video Frame ================
for x, y in result2.items():
#print x
data = x.split('/')[-2]
if '._' in data:
continue
data = x.split('/')[-1]
data2 = data.split('_')
key = x.split('/')[-2]
if videoDic[key] not in chi:
continue
#print "video"
In = 1
i = data2[-1][:-4]
frame = data[:-len(data2[-1]) - 1]
frameNum = frame.split('_')[-1]
name = "http://www.columbia.edu/AIDA/DVMM/Entities/FaceDetection/RUN00010/Keyframe/"+\
str(videoDic[key])+'_'+str(frameNum)+'/'+str(i)
entity = aifutils.make_entity(g, name, sys)
if str(videoDic[key]) + '_' + str(frameNum) in ODF_result.keys():
first_cluster = 1
for n in range(
len(ODF_result[str(videoDic[key]) + '_' + str(frameNum)])):
if ODF_result[str(videoDic[key]) + '_' +
str(frameNum)][n]['label'] in person_label:
boxA = ODF_result[str(videoDic[key]) + '_' +
str(frameNum)][n]['bbox']
boxB = (int(bb_2[x][0]), int(bb_2[x][1]), int(bb_2[x][2]),
int(bb_2[x][3]))
IOA = bb_intersection_over_union(boxA, boxB)
if IOA > 0.9:
eid = "http://www.columbia.edu/AIDA/DVMM/Entities/ObjectDetection/RUN00010/Keyframe/" + str(
videoDic[key]) + '_' + str(frameNum) + "/" + str(n)
if n in entity_dic2[str(videoDic[key]) + '_' +
str(frameNum)]:
#if eid in entity_dict.keys():
score = IOA
#print x
#print entity_dict[eid]
#print n
if first_cluster == 1:
first_cluster = 0
clusterName = aifutils.make_cluster_with_prototype(g, \
"http://www.columbia.edu/AIDA/DVMM/Clusters/HumanBody/RUN00010/Keyframe/"+\
str(videoDic[key])+'_'+str(frameNum)+'/'+str(i)+'/'+\
str(person_c_n),entity, sys)
#aifutils.mark_as_possible_cluster_member(g, \
# entity,clusterName, score, sys)
aifutils.mark_as_possible_cluster_member(g, \
entity_dict[eid],clusterName, score, sys)
if first_cluster == 0:
person_c_n += 1
#txn.put("Columbia/DVMM/TypeAssertion/FaceID/RUN00003/"+str(key)+'/'+str(i), value[i][4]);
#featureDic[entity] = y[2]
featureDic[key] = y[2]
#entityList.append(key)
l, t, r, d = bb_2[x]
if (r - l) * (d - t) > 3600:
entityList.append(entity)
arrayList.append(y[2])
#if first == 1:
# new_array = [y[2]]
# first = 0
#else:
# new_array = np.concatenate((new_array, [y[2]]), axis=0)
feature = {}
feature['columbia_vector_faceID_FaceNet'] = y[2].tolist()
json_data = json.dumps(feature)
aifutils.mark_private_data(g, entity, json_data, sys)
#labelrdf = VIS_ONTOLOGY.term(i_id)
#Dscore = value[i][7]
#if Dscore>1:
Dscore = 1
#type_assertion = aifutils.mark_type(g, "Columbia/DVMM/TypeAssertion/FaceRecognition/RUN00003/"+str(i_id)+"/"+str(i)+"/1",
type_assertion = aifutils.mark_type(g, "http://www.columbia.edu/AIDA/DVMM/TypeAssertion/FaceDetection/RUN00010/Keyframe/"+\
str(videoDic[key])+'_'+str(frameNum)+'/'+str(i), entity, AIDA_PROGRAM_ONTOLOGY2.term('PER'), sys, Dscore)
#str(videoDic[key])+'_'+str(frameNum)+'/'+str(i), entity, AIDA_PROGRAM_ONTOLOGY2.Entity, sys, Dscore)
#print bb[x][1]
bb2 = Bounding_Box((bb_2[x][0], bb_2[x][1]), (bb_2[x][2], bb_2[x][3]))
#aifutils.mark_image_justification(g, [entity, type_assertion], key, bb2, sys, 1)
justif = aifutils.mark_keyframe_video_justification(g, [entity, type_assertion], videoDic[key], \
str(videoDic[key])+'_'+str(frameNum), bb2, sys, 1)
aifutils.add_source_document_to_justification(g, justif, parent)
aifutils.mark_informative_justification(g, entity, justif)
chi_set.add(key)
parent_set.add(parent)
if y[0].replace(' ', '_') not in nameSet or nameDic[y[0].replace(
' ', '_')] not in p1Set or float(y[1]) < 0.04 or y[0].replace(
' ', '_') == 'Ban_Ki-moon':
continue
else:
#nameCount2+=1
person_set.add(y[0])
doc_N.add(parent)
img_N.add(key)
#if float(y[1])*10>1:
# score = 1-random.random()/10
#else:
# score = float(y[1])*10
score = sigmoid(float(y[1]) * 10)
#place_of_birth_in_louisville_cluster = aifutils.mark_as_possible_cluster_member(g, \
# entity,clusterDic[nameDic[y[0].replace(' ','_')]], score, sys)
NameDetected.add(nameDic[y[0].replace(' ', '_')])
entity_key = nameDic[y[0].replace(' ', '_')]
type_assertion = aifutils.mark_type(g, \
"http://www.columbia.edu/AIDA/DVMM/TypeAssertion/FaceID/"\
+str(index_category[entity_key])+'/'+entity_key, entityDic[entity_key], AIDA_PROGRAM_ONTOLOGY2.term('PER'), sys, 1)
justif = aifutils.mark_keyframe_video_justification(g, [entityDic[nameDic[y[0].replace(' ','_')]], type_assertion], videoDic[key], \
str(videoDic[key])+'_'+str(frameNum), bb2, sys, score)
aifutils.add_source_document_to_justification(g, justif, parent)
aifutils.mark_informative_justification(
g, entityDic[nameDic[y[0].replace(' ', '_')]], justif)
#dbscan_run(arrayList,entityList)
new_array = np.array(arrayList)
if len(arrayList) > 1:
# Compute DBSCAN
#if __name__ == '__main__':
db = DBSCAN(eps=0.55, min_samples=2).fit(new_array)
core_samples_mask = np.zeros_like(db.labels_, dtype=bool)
core_samples_mask[db.core_sample_indices_] = True
labels = db.labels_
#print labels
# Number of clusters in labels, ignoring noise if present.
n_clusters_ = len(set(labels)) - (1 if -1 in labels else 0)
#print entityList
#print('Estimated number of clusters: %d' % n_clusters_)
clusterNameDic = {}
firstMem = [0 for i in range(n_clusters_)]
firstArray = {}
for i in range(len(labels)):
if labels[i] == -1:
continue
#print len(labels)
#print len(entityList)
#score = 1
if firstMem[labels[i]] == 0:
firstMem[labels[i]] = 1
firstArray[labels[i]] = new_array[i]
clusterNameDic[labels[i]] = aifutils.make_cluster_with_prototype(g, \
"http://www.columbia.edu/AIDA/DVMM/Clusters/FaceCoreference/RUN00010/"+\
str(labels[i]),entityList[i], sys)
#print entityList[a][j]
else:
dist = np.linalg.norm(firstArray[labels[i]] - new_array[i])
if dist > 1:
score = 0.001
else:
score = 1 - dist / 2
#score = sigmoid(dist)
#print score
aifutils.mark_as_possible_cluster_member(g, \
entityList[i],clusterNameDic[labels[i]], score, sys)
sys = aifutils.make_system_with_uri(
g, "http://www.columbia.edu/AIDA/DVMM/Systems/Face/FaceNet")
for key, value in index_category.items():
if key not in NameDetected:
continue
key = key.replace(' ', '_')
#print name2ID[]
new_key = key.lower().replace('_', ' ')
#print new_key
try:
#print RPI[parent].keys()
#print name2ID[new_key]
if name2ID[new_key] in RPI[parent].keys():
print(new_key)
#print parent
cluster = aifutils.make_cluster_with_prototype(g, \
"http://www.columbia.edu/AIDA/DVMM/Clusters/NamedPersonCoreference/"+\
str(value)+'/'+key,entityDic[key], sys)
score = 1
#aifutils.mark_as_possible_cluster_member(g, ,cluster, score, sys)
for i in range(len(RPI[parent][name2ID[new_key]])):
aifutils.mark_as_possible_cluster_member(g, \
RPI[parent][name2ID[new_key]][i],cluster, score, sys)
except KeyError:
a = 0
directory = ttl_out + '/'
if not os.path.exists(directory):
os.makedirs(directory)
with open(directory + parent + '.ttl', 'w') as fout:
serialization = BytesIO()
# need .buffer because serialize will write bytes, not str
g.serialize(destination=serialization, format='turtle')
fout.write(serialization.getvalue().decode('utf-8'))
