Source code for datumaro.plugins.data_formats.datumaro_binary.mapper.annotation

# Copyright (C) 2023 Intel Corporation
#
# SPDX-License-Identifier: MIT
import struct
from typing import Dict, List, Optional, Tuple

import numpy as np
import pycocotools.mask as mask_utils

from datumaro.components.annotation import (
    Annotation,
    AnnotationType,
    Bbox,
    Caption,
    Cuboid3d,
    Ellipse,
    Label,
    Mask,
    Points,
    Polygon,
    PolyLine,
    RleMask,
    _Shape,
)

from .common import DictMapper, FloatListMapper, IntListMapper, Mapper, StringMapper

MAGIC_NUM_FOR_NONE = 2**31 - 1


[docs] class AnnotationMapper(Mapper): ann_type = AnnotationType.unknown
[docs] @classmethod def forward(cls, ann: Annotation) -> bytes: _bytearray = bytearray() _bytearray.extend(struct.pack("<Bqqi", ann.type, ann.id, ann.group, ann.object_id)) _bytearray.extend(DictMapper.forward(ann.attributes)) return bytes(_bytearray)
[docs] @classmethod def backward_dict(cls, _bytes: bytes, offset: int = 0) -> Tuple[Dict, int]: _, id, group, object_id = struct.unpack_from("<Bqqi", _bytes, offset) offset += 21 # struct.calcsize("<Bqqi") = 21 attributes, offset = DictMapper.backward(_bytes, offset) return {"id": id, "attributes": attributes, "group": group, "object_id": object_id}, offset
[docs] @classmethod def backward(cls, _bytes: bytes, offset: int = 0) -> Tuple[Annotation, int]: ann_dict, offset = cls.backward_dict(_bytes, offset) return Annotation(**ann_dict), offset
[docs] @staticmethod def forward_optional_label(label: Optional[int]) -> int: return label if label is not None else MAGIC_NUM_FOR_NONE
[docs] @staticmethod def backward_optional_label(label: int) -> Optional[int]: return label if label != MAGIC_NUM_FOR_NONE else None
[docs] @staticmethod def parse_ann_type(_bytes: bytes, offset: int = 0) -> AnnotationType: (ann_type,) = struct.unpack_from("<B", _bytes, offset) return AnnotationType(ann_type)
[docs] class LabelMapper(AnnotationMapper): ann_type = AnnotationType.label
[docs] @classmethod def forward(cls, ann: Label) -> bytes: _bytearray = bytearray() _bytearray.extend(super().forward(ann)) _bytearray.extend(struct.pack("<i", ann.label)) return bytes(_bytearray)
[docs] @classmethod def backward(cls, _bytes: bytes, offset: int = 0) -> Tuple[Label, int]: ann_dict, offset = super().backward_dict(_bytes, offset) (label,) = struct.unpack_from("<i", _bytes, offset) offset += 4 return Label(label=label, **ann_dict), offset
[docs] class MaskMapper(AnnotationMapper): ann_type = AnnotationType.mask
[docs] @classmethod def forward(cls, ann: Mask) -> bytes: if isinstance(ann, RleMask): rle = ann.rle else: rle = mask_utils.encode(np.require(ann.image, dtype=np.uint8, requirements="F")) h, w = rle["size"] counts = rle["counts"] len_counts = len(counts) _bytearray = bytearray() _bytearray.extend(super().forward(ann)) _bytearray.extend(struct.pack("<ii", cls.forward_optional_label(ann.label), ann.z_order)) _bytearray.extend(struct.pack(f"<iiI{len_counts}s", h, w, len_counts, counts)) return bytes(_bytearray)
[docs] @classmethod def backward(cls, _bytes: bytes, offset: int = 0) -> Tuple[Mask, int]: ann_dict, offset = super().backward_dict(_bytes, offset) label, z_order = struct.unpack_from("<ii", _bytes, offset) label = cls.backward_optional_label(label) offset += 8 h, w, len_counts = struct.unpack_from("<iiI", _bytes, offset) offset += 12 (counts,) = struct.unpack_from(f"<{len_counts}s", _bytes, offset) offset += len_counts return ( RleMask( rle={"size": [h, w], "counts": counts}, label=label, z_order=z_order, **ann_dict ), offset, )
[docs] class RleMaskMapper(MaskMapper): """Just clone MaskMapper."""
class _ShapeMapper(AnnotationMapper): @classmethod def forward(cls, ann: _Shape) -> bytes: _bytearray = bytearray() _bytearray.extend(super().forward(ann)) _bytearray.extend(struct.pack("<ii", cls.forward_optional_label(ann.label), ann.z_order)) _bytearray.extend(FloatListMapper.forward(ann.points)) return bytes(_bytearray) @classmethod def backward_dict(cls, _bytes: bytes, offset: int = 0) -> Tuple[Dict, int]: ann_dict, offset = super().backward_dict(_bytes, offset) label, z_order = struct.unpack_from("<ii", _bytes, offset) offset += 8 points, offset = FloatListMapper.backward(_bytes, offset) return { "points": points, "label": cls.backward_optional_label(label), "z_order": z_order, **ann_dict, }, offset @classmethod def backward(cls, _bytes: bytes, offset: int = 0) -> Tuple[_Shape, int]: ann_dict, offset = cls.backward_dict(_bytes, offset) return _Shape(**ann_dict), offset
[docs] class PointsMapper(_ShapeMapper): ann_type = AnnotationType.points
[docs] @classmethod def forward(cls, ann: Points) -> bytes: _bytearray = bytearray() _bytearray.extend(super().forward(ann)) _bytearray.extend(IntListMapper.forward(ann.visibility)) return bytes(_bytearray)
[docs] @classmethod def backward(cls, _bytes: bytes, offset: int = 0) -> Tuple[Points, int]: shape_dict, offset = super().backward_dict(_bytes, offset) visibility, offset = IntListMapper.backward(_bytes, offset) return Points(visibility=[Points.Visibility(v) for v in visibility], **shape_dict), offset
[docs] class PolyLineMapper(_ShapeMapper): ann_type = AnnotationType.polyline
[docs] @classmethod def forward(cls, ann: PolyLine) -> bytes: return super().forward(ann)
[docs] @classmethod def backward(cls, _bytes: bytes, offset: int = 0) -> Tuple[PolyLine, int]: shape_dict, offset = super().backward_dict(_bytes, offset) return PolyLine(**shape_dict), offset
[docs] class PolygonMapper(_ShapeMapper): ann_type = AnnotationType.polygon
[docs] @classmethod def forward(cls, ann: Polygon) -> bytes: return super().forward(ann)
[docs] @classmethod def backward(cls, _bytes: bytes, offset: int = 0) -> Tuple[Polygon, int]: shape_dict, offset = super().backward_dict(_bytes, offset) return Polygon(**shape_dict), offset
[docs] class BboxMapper(_ShapeMapper): ann_type = AnnotationType.bbox
[docs] @classmethod def forward(cls, ann: Bbox) -> bytes: return super().forward(ann)
[docs] @classmethod def backward(cls, _bytes: bytes, offset: int = 0) -> Tuple[Bbox, int]: shape_dict, offset = super().backward_dict(_bytes, offset) x, y, x2, y2 = shape_dict["points"] return Bbox(x, y, x2 - x, y2 - y, **shape_dict), offset
[docs] class CaptionMapper(AnnotationMapper): ann_type = AnnotationType.caption
[docs] @classmethod def forward(cls, ann: Caption) -> bytes: _bytearray = bytearray() _bytearray.extend(super().forward(ann)) _bytearray.extend(StringMapper.forward(ann.caption)) return bytes(_bytearray)
[docs] @classmethod def backward(cls, _bytes: bytes, offset: int = 0) -> Tuple[Caption, int]: ann_dict, offset = super().backward_dict(_bytes, offset) caption, offset = StringMapper.backward(_bytes, offset) return Caption(caption=caption, **ann_dict), offset
[docs] class Cuboid3dMapper(AnnotationMapper): ann_type = AnnotationType.cuboid_3d
[docs] @classmethod def forward(cls, ann: Cuboid3d) -> bytes: _bytearray = bytearray() _bytearray.extend(super().forward(ann)) _bytearray.extend(struct.pack("<i", cls.forward_optional_label(ann.label))) _bytearray.extend(FloatListMapper.forward(ann._points)) return bytes(_bytearray)
[docs] @classmethod def backward(cls, _bytes: bytes, offset: int = 0) -> Tuple[Cuboid3d, int]: ann_dict, offset = super().backward_dict(_bytes, offset) (label,) = struct.unpack_from("<i", _bytes, offset) offset += 4 points, offset = FloatListMapper.backward(_bytes, offset) return ( Cuboid3d( position=points[:3], rotation=points[3:6], scale=points[6:], label=cls.backward_optional_label(label), **ann_dict, ), offset, )
[docs] class EllipseMapper(_ShapeMapper): ann_type = AnnotationType.ellipse
[docs] @classmethod def forward(cls, ann: Ellipse) -> bytes: return super().forward(ann)
[docs] @classmethod def backward(cls, _bytes: bytes, offset: int = 0) -> Tuple[Ellipse, int]: shape_dict, offset = super().backward_dict(_bytes, offset) x, y, x2, y2 = shape_dict["points"] return Ellipse(x, y, x2, y2, **shape_dict), offset
[docs] class AnnotationListMapper(Mapper): backward_map = { AnnotationType.label: LabelMapper.backward, AnnotationType.mask: MaskMapper.backward, AnnotationType.points: PointsMapper.backward, AnnotationType.polyline: PolyLineMapper.backward, AnnotationType.polygon: PolygonMapper.backward, AnnotationType.bbox: BboxMapper.backward, AnnotationType.caption: CaptionMapper.backward, AnnotationType.cuboid_3d: Cuboid3dMapper.backward, AnnotationType.ellipse: EllipseMapper.backward, }
[docs] @classmethod def forward(cls, anns: List[Annotation]) -> bytes: _bytearray = bytearray() _bytearray.extend(struct.pack("<I", len(anns))) for ann in anns: if isinstance(ann, Label): _bytearray.extend(LabelMapper.forward(ann)) elif isinstance(ann, Mask): _bytearray.extend(MaskMapper.forward(ann)) elif isinstance(ann, Points): _bytearray.extend(PointsMapper.forward(ann)) elif isinstance(ann, PolyLine): _bytearray.extend(PolyLineMapper.forward(ann)) elif isinstance(ann, Polygon): _bytearray.extend(PolygonMapper.forward(ann)) elif isinstance(ann, Bbox): _bytearray.extend(BboxMapper.forward(ann)) elif isinstance(ann, Caption): _bytearray.extend(CaptionMapper.forward(ann)) elif isinstance(ann, Cuboid3d): _bytearray.extend(Cuboid3dMapper.forward(ann)) elif isinstance(ann, Ellipse): _bytearray.extend(EllipseMapper.forward(ann)) else: raise NotImplementedError() return bytes(_bytearray)
[docs] @classmethod def backward(cls, _bytes: bytes, offset: int = 0) -> Tuple[List[Annotation], int]: (n_anns,) = struct.unpack_from("<I", _bytes, offset) offset += 4 anns = [] for _ in range(n_anns): ann_type = AnnotationMapper.parse_ann_type(_bytes, offset) ann, offset = cls.backward_map[ann_type](_bytes, offset) anns.append(ann) return anns, offset