<commit_before># Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import logging
import os

from fvcore.common.timer import Timer
from detectron2.structures import BoxMode
from fvcore.common.file_io import PathManager
from detectron2.data import DatasetCatalog, MetadataCatalog

from .builtin_meta import _get_coco_instances_meta
from .lvis_v0_5_categories import LVIS_CATEGORIES

"""
This file contains functions to parse LVIS-format annotations into dicts in the
"Detectron2 format".
"""

logger = logging.getLogger(__name__)

__all__ = ["load_lvis_json", "register_lvis_instances", "get_lvis_instances_meta"]


def register_lvis_instances(name, metadata, json_file, image_root):
    """
    Register a dataset in LVIS's json annotation format for instance detection and segmentation.

    Args:
        name (str): a name that identifies the dataset, e.g. "lvis_v0.5_train".
        metadata (dict): extra metadata associated with this dataset. It can be an empty dict.
        json_file (str): path to the json instance annotation file.
        image_root (str): directory which contains all the images.
    """
    DatasetCatalog.register(name, lambda: load_lvis_json(json_file, image_root, name))
    MetadataCatalog.get(name).set(
        json_file=json_file, image_root=image_root, evaluator_type="lvis", **metadata
    )


def load_lvis_json(json_file, image_root, dataset_name=None):
    """
    Load a json file in LVIS's annotation format.

    Args:
        json_file (str): full path to the LVIS json annotation file.
        image_root (str): the directory where the images in this json file exists.
        dataset_name (str): the name of the dataset (e.g., "lvis_v0.5_train").
            If provided, this function will put "thing_classes" into the metadata
            associated with this dataset.

    Returns:
        list[dict]: a list of dicts in Detectron2 standard format. (See<commit_msg>update lvis path<commit_after># Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import logging
import os

from fvcore.common.timer import Timer
from detectron2.structures import BoxMode
from fvcore.common.file_io import PathManager
from detectron2.data import DatasetCatalog, MetadataCatalog

from .builtin_meta import _get_coco_instances_meta
from .lvis_v0_5_categories import LVIS_CATEGORIES

"""
This file contains functions to parse LVIS-format annotations into dicts in the
"Detectron2 format".
"""

logger = logging.getLogger(__name__)

__all__ = ["load_lvis_json", "register_lvis_instances", "get_lvis_instances_meta"]


def register_lvis_instances(name, metadata, json_file, image_root):
    """
    Register a dataset in LVIS's json annotation format for instance detection and segmentation.

    Args:
        name (str): a name that identifies the dataset, e.g. "lvis_v0.5_train".
        metadata (dict): extra metadata associated with this dataset. It can be an empty dict.
        json_file (str): path to the json instance annotation file.
        image_root (str or path-like): directory which contains all the images.
    """
    DatasetCatalog.register(name, lambda: load_lvis_json(json_file, image_root, name))
    MetadataCatalog.get(name).set(
        json_file=json_file, image_root=image_root, evaluator_type="lvis", **metadata
    )


def load_lvis_json(json_file, image_root, dataset_name=None):
    """
    Load a json file in LVIS's annotation format.

    Args:
        json_file (str): full path to the LVIS json annotation file.
        image_root (str): the directory where the images in this json file exists.
        dataset_name (str): the name of the dataset (e.g., "lvis_v0.5_train").
            If provided, this function will put "thing_classes" into the metadata
            associated with this dataset.

    Returns:
        list[dict]: a list of dicts in Detectron2 standard format. (See
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