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# Copyright (C) 2020 Intel Corporation
#
# SPDX-License-Identifier: MIT
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))
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