dropjects_real.py

import io
import itertools as it
import numpy as np
import datasets as d


_DESCRIPTION = """\
The Dropjects Real dataset was created at the Chair of Cyber-Physical Systems in Production \
Engineering at the Technical University of Munich.
"""


CLASSES = [
    "battery_holder",
    "buckle_socket",
    "buckle_plug",
    "chew_toy_big",
    "cpsduck",
    "cpsglue_big",
    "group1",
    "group2",
    "nema_holder",
    "stapler",
]

SCENES = [
    "box",
    "array",  # but only for group1 and group2, and only uncluttered
]

CLUTTER = [
    "cluttered",
    "uncluttered",
]

LIGHTING = [
    "diffuseRight",
    "diffuseLeft",
    "spotRight",
    "spotLeft",
    "dark",
    "normal",
]

NUM_SHARDS = 3

WILDCARD = "{}"


def is_valid_config(spec):
    cls, scene, clutter, lighting = spec
    if scene == "array" and cls not in ["group1", "group2", WILDCARD]:
        return False

    if scene == "array" and clutter not in ["uncluttered", WILDCARD]:
        return False
    return True


ALL_CONFIGS = list(
    it.product(
        [WILDCARD] + CLASSES, [WILDCARD] + SCENES, [WILDCARD] + CLUTTER, [WILDCARD] + LIGHTING
    )
)
ALL_CONFIGS = [x for x in ALL_CONFIGS if is_valid_config(x)]


BASE_PATH = "https://huggingface.co/datasets/LukasDb/dropjects_real/resolve/main/data/test/{cls}/{scene}/{clutter}/{lighting}/{shard}.tar"


class DropjectsRealConfig(d.BuilderConfig):

    def __init__(self, cls: str, scene: str, clutter: str, lighting: str, **kwargs):
        name = f"{cls}-{scene}-{clutter}-{lighting}"
        super().__init__(version=d.Version("1.0.0"), **kwargs, name=name)

        # transform wildcards into concrete lists
        # this does not respect the validity of the config
        cls = CLASSES if cls == WILDCARD else [cls]
        scene = SCENES if scene == WILDCARD else [scene]
        clutter = CLUTTER if clutter == WILDCARD else [clutter]
        lighting = LIGHTING if lighting == WILDCARD else [lighting]

        self.cls = cls
        self.scene = scene
        self.clutter = clutter
        self.lighting = lighting


class DropjectsReal(d.GeneratorBasedBuilder):
    BUILDER_CONFIGS = list(
        DropjectsRealConfig(cls=cls, scene=scene, clutter=clutter, lighting=lighting)
        for cls, scene, clutter, lighting in ALL_CONFIGS
    )

    DEFAULT_CONFIG_NAME = f"{WILDCARD}-{WILDCARD}-{WILDCARD}-{WILDCARD}"

    def _info(self):

        features = d.Features(
            {
                "rgb": d.Array3D((1242, 2208, 3), dtype="uint8"),
                "rgb_R": d.Array3D((1242, 2208, 3), dtype="uint8"),
                "depth": d.Array2D((1242, 2208), dtype="float32"),
                "depth_gt": d.Array2D((1242, 2208), dtype="float32"),
                "mask": d.Array2D((1242, 2208), dtype="int32"),
                "obj_ids": d.Sequence(d.Value("int32")),
                "obj_classes": d.Sequence(d.Value("string")),
                "obj_pos": d.Sequence(d.Sequence(d.Value("float32"))),
                "obj_rot": d.Sequence(d.Sequence(d.Value("float32"))),
                "obj_bbox_obj": d.Sequence(d.Sequence(d.Value("int32"))),
                "obj_bbox_visib": d.Sequence(d.Sequence(d.Value("int32"))),
                "cam_location": d.Sequence(d.Value("float32")),
                "cam_rotation": d.Sequence(d.Value("float32")),
                "cam_matrix": d.Array2D((3, 3), dtype="float32"),
                "obj_px_count_all": d.Sequence(d.Value("int32")),
                "obj_px_count_valid": d.Sequence(d.Value("int32")),
                "obj_px_count_visib": d.Sequence(d.Value("int32")),
                "obj_visib_fract": d.Sequence(d.Value("float32")),
            }
        )
        return d.DatasetInfo(
            description=_DESCRIPTION,
            citation="",  # TODO
            homepage="",  # TODO
            license="cc",
            features=features,
        )

    def _split_generators(self, dl_manager):
        clss = self.config.cls
        scenes = self.config.scene
        clutters = self.config.clutter
        lightings = self.config.lighting

        # wildcards to concrete list can generate invalid configs
        configs = [c for c in it.product(clss, scenes, clutters, lightings) if is_valid_config(c)]

        archive_paths = [
            BASE_PATH.format(cls=c, scene=s, clutter=cl, lighting=l, shard=i)
            for c, s, cl, l in configs
            for i in range(NUM_SHARDS)
        ]

        downloaded = dl_manager.download(archive_paths)

        return [
            d.SplitGenerator(
                name=d.Split.TEST,
                gen_kwargs={"tars": [dl_manager.iter_archive(d) for d in downloaded]},
            ),
        ]

    def _generate_examples(self, tars):
        sample = {}
        id = None

        for tar in tars:
            for file_path, file_obj in tar:
                new_id = file_path.split(".")[0]
                if id is None:
                    id = new_id
                else:
                    if id != new_id:
                        yield id, sample
                        sample = {}
                        id = new_id

                key = file_path.split(".")[1]

                bytes = io.BytesIO(file_obj.read())
                value = np.load(bytes, allow_pickle=False)

                sample[key] = value