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|
| from glob import glob |
| import logging as log |
| import os |
| import os.path as osp |
|
|
| from datumaro.components.extractor import (DatasetItem, Label, |
| LabelCategories, AnnotationType, SourceExtractor, Importer |
| ) |
| from datumaro.components.converter import Converter |
|
|
|
|
| class ImagenetPath: |
| IMAGES_EXT = '.jpg' |
| IMAGES_DIR_NO_LABEL = 'no_label' |
|
|
|
|
| class ImagenetExtractor(SourceExtractor): |
| def __init__(self, path, subset=None): |
| assert osp.isdir(path), path |
| super().__init__(subset=subset) |
|
|
| self._categories = self._load_categories(path) |
| self._items = list(self._load_items(path).values()) |
|
|
| def _load_categories(self, path): |
| label_cat = LabelCategories() |
| for images_dir in sorted(os.listdir(path)): |
| if images_dir != ImagenetPath.IMAGES_DIR_NO_LABEL: |
| label_cat.add(images_dir) |
| return { AnnotationType.label: label_cat } |
|
|
| def _load_items(self, path): |
| items = {} |
| for image_path in glob(osp.join(path, '*', '*')): |
| if osp.splitext(image_path)[1] != ImagenetPath.IMAGES_EXT: |
| continue |
| label = osp.basename(osp.dirname(image_path)) |
| image_name = osp.splitext(osp.basename(image_path))[0][len(label) + 1:] |
| item = items.get(image_name) |
| if item is None: |
| item = DatasetItem(id=image_name, subset=self._subset, |
| image=image_path) |
| annotations = item.annotations |
| if label != ImagenetPath.IMAGES_DIR_NO_LABEL: |
| label = self._categories[AnnotationType.label].find(label)[0] |
| annotations.append(Label(label=label)) |
| items[image_name] = item |
| return items |
|
|
|
|
| class ImagenetImporter(Importer): |
| @classmethod |
| def find_sources(cls, path): |
| if not osp.isdir(path): |
| return [] |
| return [{ 'url': path, 'format': 'imagenet' }] |
|
|
|
|
| class ImagenetConverter(Converter): |
| DEFAULT_IMAGE_EXT = ImagenetPath.IMAGES_EXT |
|
|
| def apply(self): |
| if 1 < len(self._extractor.subsets()): |
| log.warning("ImageNet format supports exporting only a single " |
| "subset, subset information will not be used.") |
|
|
| subset_dir = self._save_dir |
| extractor = self._extractor |
| labels = {} |
| for item in self._extractor: |
| image_name = item.id |
| labels[image_name] = [p.label for p in item.annotations |
| if p.type == AnnotationType.label] |
| for label in labels[image_name]: |
| label_name = extractor.categories()[AnnotationType.label][label].name |
| self._save_image(item, osp.join(subset_dir, label_name, |
| '%s_%s%s' % \ |
| (label_name, image_name, ImagenetPath.IMAGES_EXT) |
| )) |
|
|
| if not labels[image_name]: |
| self._save_image(item, osp.join(subset_dir, |
| ImagenetPath.IMAGES_DIR_NO_LABEL, |
| ImagenetPath.IMAGES_DIR_NO_LABEL + '_' + |
| image_name + ImagenetPath.IMAGES_EXT)) |
|
|
