# Copyright (C) 2023 Intel Corporation
#
# SPDX-License-Identifier: MIT
import os.path as osp
import re
from typing import Dict, List, Optional, Set, Type
from datumaro.components.annotation import (
NO_OBJECT_ID,
AnnotationType,
Bbox,
Caption,
Cuboid3d,
Ellipse,
GroupType,
Label,
LabelCategories,
MaskCategories,
Points,
PointsCategories,
Polygon,
PolyLine,
RleMask,
)
from datumaro.components.dataset_base import DatasetItem, SubsetBase
from datumaro.components.errors import DatasetImportError, MediaTypeError
from datumaro.components.importer import ImportContext
from datumaro.components.media import Image, MediaElement, MediaType, PointCloud, Video, VideoFrame
from datumaro.plugins.data_formats.datumaro.page_mapper import DatumPageMapper
from datumaro.util import parse_json_file
from datumaro.version import __version__
from .format import DATUMARO_FORMAT_VERSION, DatumaroPath
__all__ = ["DatumaroBase"]
[docs]
class JsonReader:
def __init__(
self,
path: str,
subset: str,
rootpath: str,
images_dir: str,
pcd_dir: str,
video_dir: str,
ctx: ImportContext,
) -> None:
self._subset = subset
self._rootpath = rootpath
self._images_dir = images_dir
self._pcd_dir = pcd_dir
self._video_dir = video_dir
self._videos = {}
self._ctx = ctx
self.ann_types = {}
self._reader = self._init_reader(path)
self.media_type = self._load_media_type(self._reader)
self.infos = self._load_infos(self._reader)
self.categories = self._load_categories(self._reader)
self.items = self._load_items(self._reader)
def _init_reader(self, path: str):
return parse_json_file(path)
@staticmethod
def _load_media_type(parsed) -> Type[MediaElement]:
media_type = parsed.get("media_type", MediaType.IMAGE)
return MediaType(media_type).media
@staticmethod
def _load_ann_types(parsed) -> Set[AnnotationType]:
return parsed.get("ann_types", set())
@staticmethod
def _load_infos(parsed) -> Dict:
return parsed.get("infos", {})
@staticmethod
def _load_categories(parsed) -> Dict:
categories = {}
parsed_label_cat = parsed["categories"].get(AnnotationType.label.name)
if parsed_label_cat:
label_categories = LabelCategories(attributes=parsed_label_cat.get("attributes", []))
for item in parsed_label_cat["labels"]:
label_categories.add(
item["name"],
parent=item["parent"],
attributes=item.get("attributes", []),
)
for item in parsed_label_cat.get("label_groups", []):
label_categories.add_label_group(
item["name"],
labels=item["labels"],
group_type=GroupType.from_str(item["group_type"]),
)
categories[AnnotationType.label] = label_categories
parsed_mask_cat = parsed["categories"].get(AnnotationType.mask.name)
if parsed_mask_cat:
colormap = {}
for item in parsed_mask_cat["colormap"]:
colormap[int(item["label_id"])] = (item["r"], item["g"], item["b"])
mask_categories = MaskCategories(colormap=colormap)
categories[AnnotationType.mask] = mask_categories
parsed_points_cat = parsed["categories"].get(AnnotationType.points.name)
if parsed_points_cat:
point_categories = PointsCategories()
for item in parsed_points_cat["items"]:
point_categories.add(int(item["label_id"]), item["labels"], joints=item["joints"])
categories[AnnotationType.points] = point_categories
return categories
def _load_items(self, parsed) -> List:
item_descs: List = parsed["items"]
pbar = self._ctx.progress_reporter
def _gen():
# Reverse the list to pop from the front of it
item_descs.reverse()
while item_descs:
yield item_descs.pop()
items = []
ann_types = set()
for item_desc in pbar.iter(
_gen(), desc=f"Importing '{self._subset}'", total=len(item_descs)
):
item = self._parse_item(item_desc)
if item is not None:
items.append(item)
for ann in item.annotations:
ann_types.add(ann.type)
self.ann_types = ann_types
return items
def _parse_item(self, item_desc: Dict) -> Optional[DatasetItem]:
try:
item_id = item_desc["id"]
media = None
image_info = item_desc.get("image")
if image_info:
image_filename = image_info.get("path") or item_id + DatumaroPath.IMAGE_EXT
image_path = osp.join(self._images_dir, self._subset, image_filename)
if not osp.isfile(image_path):
# backward compatibility
old_image_path = osp.join(self._images_dir, image_filename)
if osp.isfile(old_image_path):
image_path = old_image_path
media = Image.from_file(path=image_path, size=image_info.get("size"))
if self.media_type == MediaElement:
self.media_type = Image
pcd_info = item_desc.get("point_cloud")
if media and pcd_info:
raise MediaTypeError("Dataset cannot contain multiple media types")
if pcd_info:
pcd_path = pcd_info.get("path")
point_cloud = osp.join(self._pcd_dir, self._subset, pcd_path)
related_images = None
ri_info = item_desc.get("related_images")
if ri_info:
related_images = [
Image.from_file(
size=ri.get("size"),
path=osp.join(self._images_dir, self._subset, ri.get("path")),
)
for ri in ri_info
]
media = PointCloud.from_file(path=point_cloud, extra_images=related_images)
if self.media_type == MediaElement:
self.media_type = PointCloud
video_frame_info = item_desc.get("video_frame")
if media and video_frame_info:
raise MediaTypeError("Dataset cannot contain multiple media types")
if video_frame_info:
video_path = osp.join(
self._video_dir, self._subset, video_frame_info.get("video_path")
)
if video_path not in self._videos:
self._videos[video_path] = Video(video_path)
video = self._videos[video_path]
frame_index = video_frame_info.get("frame_index")
media = VideoFrame(video, frame_index)
media_desc = item_desc.get("media")
if not media and media_desc and media_desc.get("path"):
media = MediaElement(path=media_desc.get("path"))
except Exception as e:
self._ctx.error_policy.report_item_error(
e, item_id=(item_desc.get("id", None), self._subset)
)
return None
annotations = self._load_annotations(item_desc)
return DatasetItem(
id=item_id,
subset=self._subset,
annotations=annotations,
media=media,
attributes=item_desc.get("attr"),
)
def _load_annotations(self, item: Dict):
loaded = []
for ann in item.get("annotations", []):
try:
ann_id = ann.get("id")
ann_type = AnnotationType[ann["type"]]
attributes = ann.get("attributes")
group = ann.get("group")
object_id = ann.get("object_id", NO_OBJECT_ID)
label_id = ann.get("label_id")
z_order = ann.get("z_order")
points = ann.get("points")
if ann_type == AnnotationType.label:
loaded.append(
Label(
label=label_id,
id=ann_id,
attributes=attributes,
group=group,
object_id=object_id,
)
)
elif ann_type == AnnotationType.mask:
rle = ann["rle"]
rle["counts"] = rle["counts"].encode("ascii")
loaded.append(
RleMask(
rle=rle,
label=label_id,
id=ann_id,
attributes=attributes,
group=group,
object_id=object_id,
z_order=z_order,
)
)
elif ann_type == AnnotationType.polyline:
loaded.append(
PolyLine(
points,
label=label_id,
id=ann_id,
attributes=attributes,
group=group,
object_id=object_id,
z_order=z_order,
)
)
elif ann_type == AnnotationType.polygon:
loaded.append(
Polygon(
points,
label=label_id,
id=ann_id,
attributes=attributes,
group=group,
object_id=object_id,
z_order=z_order,
)
)
elif ann_type == AnnotationType.bbox:
x, y, w, h = ann["bbox"]
loaded.append(
Bbox(
x,
y,
w,
h,
label=label_id,
id=ann_id,
attributes=attributes,
group=group,
object_id=object_id,
z_order=z_order,
)
)
elif ann_type == AnnotationType.points:
loaded.append(
Points(
points,
label=label_id,
id=ann_id,
attributes=attributes,
group=group,
object_id=object_id,
z_order=z_order,
)
)
elif ann_type == AnnotationType.caption:
caption = ann.get("caption")
loaded.append(Caption(caption, id=ann_id, attributes=attributes, group=group))
elif ann_type == AnnotationType.cuboid_3d:
loaded.append(
Cuboid3d(
ann.get("position"),
ann.get("rotation"),
ann.get("scale"),
label=label_id,
id=ann_id,
attributes=attributes,
group=group,
object_id=object_id,
)
)
elif ann_type == AnnotationType.ellipse:
loaded.append(
Ellipse(
*points,
label=label_id,
id=ann_id,
attributes=attributes,
group=group,
object_id=object_id,
z_order=z_order,
)
)
elif ann_type == AnnotationType.hash_key:
continue
else:
raise NotImplementedError()
except Exception as e:
self._ctx.error_policy.report_annotation_error(
e, item_id=(ann.get("id", None), self._subset)
)
return loaded
def __len__(self):
return len(self.items)
def __iter__(self):
yield from self.items
[docs]
class StreamJsonReader(JsonReader):
def __init__(
self,
path: str,
subset: str,
rootpath: str,
images_dir: str,
pcd_dir: str,
video_dir: str,
ctx: ImportContext,
) -> None:
super().__init__(path, subset, rootpath, images_dir, pcd_dir, video_dir, ctx)
self._length = None
def __len__(self):
return len(self._reader)
def __iter__(self):
ann_types = set()
pbar = self._ctx.progress_reporter
for item_desc in pbar.iter(
self._reader,
desc=f"Importing '{self._subset}'",
):
item = self._parse_item(item_desc)
yield item
if item is not None:
for ann in item.annotations:
ann_types.add(ann.type)
self.ann_types = ann_types
def _init_reader(self, path: str) -> DatumPageMapper:
return DatumPageMapper(path)
@staticmethod
def _load_media_type(page_mapper: DatumPageMapper) -> Type[MediaElement]:
media_type = page_mapper.media_type
if media_type is None:
return MediaType.IMAGE.media
return media_type.media
@staticmethod
def _load_ann_types(page_mapper: DatumPageMapper) -> Set[AnnotationType]:
ann_types = page_mapper.ann_types
if ann_types is None:
return set()
return ann_types
@staticmethod
def _load_infos(page_mapper: DatumPageMapper) -> Dict:
return page_mapper.infos
@staticmethod
def _load_categories(page_mapper: DatumPageMapper) -> Dict:
return JsonReader._load_categories({"categories": page_mapper.categories})
def _load_items(self, parsed) -> List:
return []
[docs]
class DatumaroBase(SubsetBase):
LEGACY_VERSION = "legacy"
CURRENT_DATUMARO_FORMAT_VERSION = DATUMARO_FORMAT_VERSION
# If Datumaro format version goes up, it will be
# ALLOWED_VERSIONS = {LEGACY_VERSION, 1.0, ..., CURRENT_DATUMARO_FORMAT_VERSION}
ALLOWED_VERSIONS = {LEGACY_VERSION, CURRENT_DATUMARO_FORMAT_VERSION}
def __init__(
self,
path: str,
*,
subset: Optional[str] = None,
stream: bool = False,
ctx: Optional[ImportContext] = None,
):
assert osp.isfile(path), path
subset = osp.splitext(osp.basename(path))[0] if subset is None else subset
self._stream = stream
super().__init__(subset=subset, ctx=ctx)
self._init_path(path)
dm_version = self._get_dm_format_version(path)
# when backward compatibility happen, we should implement version specific readers
if dm_version not in self.ALLOWED_VERSIONS:
raise DatasetImportError(
f"Datumaro format version of the given dataset is {dm_version}, "
f"but not supported by this Datumaro version: {__version__}. "
f"The allowed datumaro format versions are {self.ALLOWED_VERSIONS}. "
"Please install the latest Datumaro."
)
self._load_impl(path)
def _init_path(self, path: str):
"""Initialize path variables"""
rootpath = ""
if path.endswith(osp.join(DatumaroPath.ANNOTATIONS_DIR, osp.basename(path))):
rootpath = path.rsplit(DatumaroPath.ANNOTATIONS_DIR, maxsplit=1)[0]
self._rootpath = rootpath
images_dir = ""
if rootpath and osp.isdir(osp.join(rootpath, DatumaroPath.IMAGES_DIR)):
images_dir = osp.join(rootpath, DatumaroPath.IMAGES_DIR)
self._images_dir = images_dir
pcd_dir = ""
if rootpath and osp.isdir(osp.join(rootpath, DatumaroPath.PCD_DIR)):
pcd_dir = osp.join(rootpath, DatumaroPath.PCD_DIR)
self._pcd_dir = pcd_dir
video_dir = ""
if rootpath and osp.isdir(osp.join(rootpath, DatumaroPath.VIDEO_DIR)):
video_dir = osp.join(rootpath, DatumaroPath.VIDEO_DIR)
self._video_dir = video_dir
@property
def is_stream(self) -> bool:
return self._stream
[docs]
def infos(self):
return self._reader.infos
[docs]
def categories(self):
return self._reader.categories
[docs]
def ann_types(self):
return self._reader.ann_types
def _load_impl(self, path: str) -> None:
"""Actual implementation of loading Datumaro format."""
self._reader = (
JsonReader(
path,
self._subset,
self._rootpath,
self._images_dir,
self._pcd_dir,
self._video_dir,
self._ctx,
)
if not self._stream
else StreamJsonReader(
path,
self._subset,
self._rootpath,
self._images_dir,
self._pcd_dir,
self._video_dir,
self._ctx,
)
)
return self._reader
def _get_dm_format_version(self, path) -> str:
"""
Get Datumaro format at exporting the dataset
Note that the legacy Datumaro doesn't store the version into exported dataset.
Thus it returns DatumaroBase.LEGACY_VERSION
"""
# We can assume that the version information will be within the first 1 KB of the file.
# This is because we are the producer of Datumaro format.
search_size = 1024 # 1 KB
pattern = '"dm_format_version"\s*:\s*"(\w+)"'
with open(path, "r", encoding="utf-8") as fp:
out = fp.read(search_size)
found = re.search(pattern, out)
if not found:
return self.LEGACY_VERSION
version_str = found.group(1)
if re.match("\d+\.d+", version_str) is None:
raise DatasetImportError(f"Invalid version string: {version_str} ")
return version_str
def __len__(self) -> int:
return len(self._reader)
def __iter__(self) -> DatasetItem:
yield from self._reader
