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from dataclasses import dataclass |
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from pathlib import Path |
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from typing import Optional |
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import pyarrow as pa |
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import datasets |
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from datasets.tasks import ImageClassification |
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logger = datasets.utils.logging.get_logger(__name__) |
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@dataclass |
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class ImageFolderConfig(datasets.BuilderConfig): |
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"""BuilderConfig for ImageFolder.""" |
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features: Optional[datasets.Features] = None |
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@property |
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def schema(self): |
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return pa.schema(self.features.type) if self.features is not None else None |
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class ImageFolder(datasets.GeneratorBasedBuilder): |
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BUILDER_CONFIG_CLASS = ImageFolderConfig |
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def _info(self): |
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folder=None |
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if isinstance(self.config.data_files, str): |
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folder = self.config.data_files |
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elif isinstance(self.config.data_files, dict): |
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folder = self.config.data_files.get('train', None) |
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if folder is None: |
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raise RuntimeError() |
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classes = sorted([x.name.lower() for x in Path(folder).glob('*/**')]) |
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return datasets.DatasetInfo( |
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features=datasets.Features( |
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{"image_file_path": datasets.Value("string"), "labels": datasets.Value("string")} |
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), |
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task_templates=[datasets.tasks.ImageClassification(image_file_path_column="image_file_path", label_column="labels", labels=classes)] |
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) |
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def _split_generators(self, dl_manager): |
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if not self.config.data_files: |
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raise ValueError(f"At least one data file must be specified, but got data_files={self.config.data_files}") |
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data_files = self.config.data_files |
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if isinstance(data_files, str): |
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folder = data_files |
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return [datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"archive_path": folder})] |
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splits = [] |
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for split_name, folder in data_files.items(): |
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splits.append(datasets.SplitGenerator(name=split_name, gen_kwargs={"archive_path": folder})) |
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return splits |
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def _generate_examples(self, archive_path): |
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logger.info("generating examples from = %s", archive_path) |
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extensions = {".jpg", ".jpeg", ".png", ".ppm", ".bmp", ".pgm", ".tif", ".tiff", ".webp"} |
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for i, path in enumerate(Path(archive_path).glob("**/*")): |
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if path.suffix in extensions: |
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yield i, {"image_file_path": path.as_posix(), "labels": path.parent.name.lower()} |
