deprem-ocr / ocr /ppocr /data /imaug /vqa /token /vqa_token_relation.py
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class VQAReTokenRelation(object):
def __init__(self, **kwargs):
pass
def __call__(self, data):
"""
build relations
"""
entities = data["entities"]
relations = data["relations"]
id2label = data.pop("id2label")
empty_entity = data.pop("empty_entity")
entity_id_to_index_map = data.pop("entity_id_to_index_map")
relations = list(set(relations))
relations = [
rel
for rel in relations
if rel[0] not in empty_entity and rel[1] not in empty_entity
]
kv_relations = []
for rel in relations:
pair = [id2label[rel[0]], id2label[rel[1]]]
if pair == ["question", "answer"]:
kv_relations.append(
{
"head": entity_id_to_index_map[rel[0]],
"tail": entity_id_to_index_map[rel[1]],
}
)
elif pair == ["answer", "question"]:
kv_relations.append(
{
"head": entity_id_to_index_map[rel[1]],
"tail": entity_id_to_index_map[rel[0]],
}
)
else:
continue
relations = sorted(
[
{
"head": rel["head"],
"tail": rel["tail"],
"start_index": self.get_relation_span(rel, entities)[0],
"end_index": self.get_relation_span(rel, entities)[1],
}
for rel in kv_relations
],
key=lambda x: x["head"],
)
data["relations"] = relations
return data
def get_relation_span(self, rel, entities):
bound = []
for entity_index in [rel["head"], rel["tail"]]:
bound.append(entities[entity_index]["start"])
bound.append(entities[entity_index]["end"])
return min(bound), max(bound)