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# Copyright (c) Facebook, Inc. and its affiliates.
from detectron2.data.catalog import Metadata
from detectron2.evaluation import COCOEvaluator
from densepose.data.datasets.coco import (
get_contiguous_id_to_category_id_map,
maybe_filter_categories_cocoapi,
)
def _maybe_add_iscrowd_annotations(cocoapi) -> None:
for ann in cocoapi.dataset["annotations"]:
if "iscrowd" not in ann:
ann["iscrowd"] = 0
class Detectron2COCOEvaluatorAdapter(COCOEvaluator):
def __init__(
self,
dataset_name,
output_dir=None,
distributed=True,
):
super().__init__(dataset_name, output_dir=output_dir, distributed=distributed)
maybe_filter_categories_cocoapi(dataset_name, self._coco_api)
_maybe_add_iscrowd_annotations(self._coco_api)
# substitute category metadata to account for categories
# that are mapped to the same contiguous id
if hasattr(self._metadata, "thing_dataset_id_to_contiguous_id"):
self._maybe_substitute_metadata()
def _maybe_substitute_metadata(self):
cont_id_2_cat_id = get_contiguous_id_to_category_id_map(self._metadata)
cat_id_2_cont_id = self._metadata.thing_dataset_id_to_contiguous_id
if len(cont_id_2_cat_id) == len(cat_id_2_cont_id):
return
cat_id_2_cont_id_injective = {}
for cat_id, cont_id in cat_id_2_cont_id.items():
if (cont_id in cont_id_2_cat_id) and (cont_id_2_cat_id[cont_id] == cat_id):
cat_id_2_cont_id_injective[cat_id] = cont_id
metadata_new = Metadata(name=self._metadata.name)
for key, value in self._metadata.__dict__.items():
if key == "thing_dataset_id_to_contiguous_id":
setattr(metadata_new, key, cat_id_2_cont_id_injective)
else:
setattr(metadata_new, key, value)
self._metadata = metadata_new
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