File size: 2,858 Bytes
72d3afe | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 | """Hugging Face `datasets` loading script for the local ModelNet10 layout (CSV + ModelNet10/*.off)."""
import csv
import os
from datasets import (
BuilderConfig,
DatasetInfo,
Features,
GeneratorBasedBuilder,
Split,
SplitGenerator,
Value,
Version,
)
class ModelNet10(GeneratorBasedBuilder):
"""Build train/test splits from metadata_modelnet10.csv next to the ModelNet10 mesh folder."""
VERSION = Version("1.0.0")
BUILDER_CONFIGS = [BuilderConfig(name="default", version=VERSION)]
DEFAULT_CONFIG_NAME = "default"
def _info(self):
return DatasetInfo(
description=(
"ModelNet10: 3D mesh classification subset (10 categories). "
"Each row references an OFF file under ModelNet10/ and metadata_modelnet10.csv at the dataset root."
),
features=Features(
{
"object_id": Value("string"),
"class": Value("string"),
"split": Value("string"),
"file_path": Value("string"),
}
),
)
def _split_generators(self, dl_manager):
if self.config.data_dir is not None:
data_dir = os.path.abspath(os.path.expanduser(self.config.data_dir))
if not os.path.isdir(data_dir):
raise FileNotFoundError(f"data_dir is not a directory: {data_dir}")
elif self.config.data_files is not None:
data_dir = dl_manager.download_and_extract(self.config.data_files)
else:
raise ValueError(
"Pass data_dir=... (folder containing metadata_modelnet10.csv and ModelNet10/) "
"or data_files=... when calling load_dataset."
)
return [
SplitGenerator(
name=Split.TRAIN,
gen_kwargs={"split": "train", "data_dir": data_dir},
),
SplitGenerator(
name=Split.TEST,
gen_kwargs={"split": "test", "data_dir": data_dir},
),
]
def _generate_examples(self, split, data_dir):
csv_path = os.path.join(data_dir, "metadata_modelnet10.csv")
if not os.path.isfile(csv_path):
raise FileNotFoundError(f"Missing metadata CSV: {csv_path}")
with open(csv_path, newline="", encoding="utf-8") as f:
reader = csv.DictReader(f)
for row in reader:
if row["split"] != split:
continue
object_id = row["object_id"]
yield object_id, {
"object_id": object_id,
"class": row["class"],
"split": row["split"],
"file_path": os.path.join(data_dir, "ModelNet10", row["object_path"]),
}
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