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#
# SPDX-License-Identifier: MIT
from collections import defaultdict
from defusedxml import ElementTree
import logging as log
import numpy as np
import os
import os.path as osp
from datumaro.components.extractor import (SourceExtractor, Importer,
DatasetItem, AnnotationType, Mask, Bbox, Polygon, LabelCategories
)
from datumaro.components.converter import Converter
from datumaro.util.image import Image, save_image
from datumaro.util.mask_tools import load_mask, find_mask_bbox
class LabelMePath:
MASKS_DIR = 'Masks'
IMAGE_EXT = '.jpg'
class LabelMeExtractor(SourceExtractor):
def __init__(self, path, subset_name=None):
assert osp.isdir(path), path
super().__init__(subset=subset_name)
items, categories = self._parse(path)
self._categories = categories
self._items = items
def _parse(self, path):
categories = {
AnnotationType.label: LabelCategories(attributes={
'occluded', 'username'
})
}
items = []
for p in os.listdir(path):
if not p.endswith('.xml'):
continue
root = ElementTree.parse(osp.join(path, p))
item_id = osp.join(root.find('folder').text or '',
root.find('filename').text)
image_path = osp.join(path, item_id)
image_size = None
imagesize_elem = root.find('imagesize')
if imagesize_elem is not None:
width_elem = imagesize_elem.find('ncols')
height_elem = imagesize_elem.find('nrows')
image_size = (int(height_elem.text), int(width_elem.text))
image = Image(path=image_path, size=image_size)
annotations = self._parse_annotations(root, path, categories)
items.append(DatasetItem(id=osp.splitext(item_id)[0],
subset=self._subset, image=image, annotations=annotations))
return items, categories
@classmethod
def _parse_annotations(cls, xml_root, dataset_root, categories):
def parse_attributes(attr_str):
parsed = []
if not attr_str:
return parsed
for attr in [a.strip() for a in attr_str.split(',') if a.strip()]:
if '=' in attr:
name, value = attr.split('=', maxsplit=1)
if value.lower() in {'true', 'false'}:
value = value.lower() == 'true'
else:
try:
value = float(value)
except ValueError:
pass
parsed.append((name, value))
else:
parsed.append((attr, True))
return parsed
label_cat = categories[AnnotationType.label]
def get_label_id(label):
if not label:
return None
idx, _ = label_cat.find(label)
if idx is None:
idx = label_cat.add(label)
return idx
image_annotations = []
parsed_annotations = dict()
group_assignments = dict()
root_annotations = set()
for obj_elem in xml_root.iter('object'):
obj_id = int(obj_elem.find('id').text)
ann_items = []
label = get_label_id(obj_elem.find('name').text)
attributes = []
attributes_elem = obj_elem.find('attributes')
if attributes_elem is not None and attributes_elem.text:
attributes = parse_attributes(attributes_elem.text)
occluded = False
occluded_elem = obj_elem.find('occluded')
if occluded_elem is not None and occluded_elem.text:
occluded = (occluded_elem.text == 'yes')
attributes.append(('occluded', occluded))
deleted = False
deleted_elem = obj_elem.find('deleted')
if deleted_elem is not None and deleted_elem.text:
deleted = bool(int(deleted_elem.text))
user = ''
poly_elem = obj_elem.find('polygon')
segm_elem = obj_elem.find('segm')
type_elem = obj_elem.find('type') # the only value is 'bounding_box'
if poly_elem is not None:
user_elem = poly_elem.find('username')
if user_elem is not None and user_elem.text:
user = user_elem.text
attributes.append(('username', user))
points = []
for point_elem in poly_elem.iter('pt'):
x = float(point_elem.find('x').text)
y = float(point_elem.find('y').text)
points.append(x)
points.append(y)
if type_elem is not None and type_elem.text == 'bounding_box':
xmin = min(points[::2])
xmax = max(points[::2])
ymin = min(points[1::2])
ymax = max(points[1::2])
ann_items.append(Bbox(xmin, ymin, xmax - xmin, ymax - ymin,
label=label, attributes=attributes, id=obj_id,
))
else:
ann_items.append(Polygon(points,
label=label, attributes=attributes, id=obj_id,
))
elif segm_elem is not None:
user_elem = segm_elem.find('username')
if user_elem is not None and user_elem.text:
user = user_elem.text
attributes.append(('username', user))
mask_path = osp.join(dataset_root, LabelMePath.MASKS_DIR,
segm_elem.find('mask').text)
if not osp.isfile(mask_path):
raise Exception("Can't find mask at '%s'" % mask_path)
mask = load_mask(mask_path)
mask = np.any(mask, axis=2)
ann_items.append(Mask(image=mask, label=label, id=obj_id,
attributes=attributes))
if not deleted:
parsed_annotations[obj_id] = ann_items
# Find parents and children
parts_elem = obj_elem.find('parts')
if parts_elem is not None:
children_ids = []
hasparts_elem = parts_elem.find('hasparts')
if hasparts_elem is not None and hasparts_elem.text:
children_ids = [int(c) for c in hasparts_elem.text.split(',')]
parent_ids = []
ispartof_elem = parts_elem.find('ispartof')
if ispartof_elem is not None and ispartof_elem.text:
parent_ids = [int(c) for c in ispartof_elem.text.split(',')]
if children_ids and not parent_ids and hasparts_elem.text:
root_annotations.add(obj_id)
group_assignments[obj_id] = [None, children_ids]
# assign single group to all grouped annotations
current_group_id = 0
annotations_to_visit = list(root_annotations)
while annotations_to_visit:
ann_id = annotations_to_visit.pop()
ann_assignment = group_assignments[ann_id]
group_id, children_ids = ann_assignment
if group_id:
continue
if ann_id in root_annotations:
current_group_id += 1 # start a new group
group_id = current_group_id
ann_assignment[0] = group_id
# continue with children
annotations_to_visit.extend(children_ids)
assert current_group_id == len(root_annotations)
for ann_id, ann_items in parsed_annotations.items():
group_id = 0
if ann_id in group_assignments:
ann_assignment = group_assignments[ann_id]
group_id = ann_assignment[0]
for ann_item in ann_items:
if group_id:
ann_item.group = group_id
image_annotations.append(ann_item)
return image_annotations
class LabelMeImporter(Importer):
EXTRACTOR = 'label_me'
@classmethod
def find_sources(cls, path):
subset_paths = []
if not osp.isdir(path):
return []
path = osp.normpath(path)
def has_annotations(d):
return len([p for p in os.listdir(d) if p.endswith('.xml')]) != 0
if has_annotations(path):
subset_paths.append({'url': path, 'format': cls.EXTRACTOR})
else:
for d in os.listdir(path):
subset = d
d = osp.join(path, d)
if osp.isdir(d) and has_annotations(d):
subset_paths.append({'url': d, 'format': cls.EXTRACTOR,
'options': {'subset_name': subset}
})
return subset_paths
class LabelMeConverter(Converter):
DEFAULT_IMAGE_EXT = LabelMePath.IMAGE_EXT
def apply(self):
for subset_name, subset in self._extractor.subsets().items():
subset_dir = osp.join(self._save_dir, subset_name)
os.makedirs(subset_dir, exist_ok=True)
os.makedirs(osp.join(subset_dir, LabelMePath.MASKS_DIR),
exist_ok=True)
for index, item in enumerate(subset):
self._save_item(item, subset_dir, index)
def _get_label(self, label_id):
if label_id is None:
return ''
return self._extractor.categories()[AnnotationType.label][label_id].name
def _save_item(self, item, subset_dir, index):
from lxml import etree as ET
log.debug("Converting item '%s'", item.id)
image_filename = self._make_image_filename(item)
if self._save_images:
if item.has_image and item.image.has_data:
self._save_image(item, osp.join(subset_dir, image_filename))
else:
log.debug("Item '%s' has no image", item.id)
root_elem = ET.Element('annotation')
ET.SubElement(root_elem, 'filename').text = osp.basename(image_filename)
ET.SubElement(root_elem, 'folder').text = osp.dirname(image_filename)
source_elem = ET.SubElement(root_elem, 'source')
ET.SubElement(source_elem, 'sourceImage').text = ''
ET.SubElement(source_elem, 'sourceAnnotation').text = 'Datumaro'
if item.has_image:
image_elem = ET.SubElement(root_elem, 'imagesize')
image_size = item.image.size
ET.SubElement(image_elem, 'nrows').text = str(image_size[0])
ET.SubElement(image_elem, 'ncols').text = str(image_size[1])
groups = defaultdict(list)
obj_id = 0
for ann in item.annotations:
if not ann.type in { AnnotationType.polygon,
AnnotationType.bbox, AnnotationType.mask }:
continue
obj_elem = ET.SubElement(root_elem, 'object')
ET.SubElement(obj_elem, 'name').text = self._get_label(ann.label)
ET.SubElement(obj_elem, 'deleted').text = '0'
ET.SubElement(obj_elem, 'verified').text = '0'
ET.SubElement(obj_elem, 'occluded').text = \
'yes' if ann.attributes.pop('occluded', '') == True else 'no'
ET.SubElement(obj_elem, 'date').text = ''
ET.SubElement(obj_elem, 'id').text = str(obj_id)
parts_elem = ET.SubElement(obj_elem, 'parts')
if ann.group:
groups[ann.group].append((obj_id, parts_elem))
else:
ET.SubElement(parts_elem, 'hasparts').text = ''
ET.SubElement(parts_elem, 'ispartof').text = ''
if ann.type == AnnotationType.bbox:
ET.SubElement(obj_elem, 'type').text = 'bounding_box'
poly_elem = ET.SubElement(obj_elem, 'polygon')
x0, y0, x1, y1 = ann.points
points = [ (x0, y0), (x1, y0), (x1, y1), (x0, y1) ]
for x, y in points:
point_elem = ET.SubElement(poly_elem, 'pt')
ET.SubElement(point_elem, 'x').text = '%.2f' % x
ET.SubElement(point_elem, 'y').text = '%.2f' % y
ET.SubElement(poly_elem, 'username').text = \
str(ann.attributes.pop('username', ''))
elif ann.type == AnnotationType.polygon:
poly_elem = ET.SubElement(obj_elem, 'polygon')
for x, y in zip(ann.points[::2], ann.points[1::2]):
point_elem = ET.SubElement(poly_elem, 'pt')
ET.SubElement(point_elem, 'x').text = '%.2f' % x
ET.SubElement(point_elem, 'y').text = '%.2f' % y
ET.SubElement(poly_elem, 'username').text = \
str(ann.attributes.pop('username', ''))
elif ann.type == AnnotationType.mask:
mask_filename = '%s_mask_%s.png' % \
(item.id.replace('/', '_'), obj_id)
save_image(osp.join(subset_dir, LabelMePath.MASKS_DIR,
mask_filename),
self._paint_mask(ann.image))
segm_elem = ET.SubElement(obj_elem, 'segm')
ET.SubElement(segm_elem, 'mask').text = mask_filename
bbox = find_mask_bbox(ann.image)
box_elem = ET.SubElement(segm_elem, 'box')
ET.SubElement(box_elem, 'xmin').text = '%.2f' % bbox[0]
ET.SubElement(box_elem, 'ymin').text = '%.2f' % bbox[1]
ET.SubElement(box_elem, 'xmax').text = \
'%.2f' % (bbox[0] + bbox[2])
ET.SubElement(box_elem, 'ymax').text = \
'%.2f' % (bbox[1] + bbox[3])
ET.SubElement(segm_elem, 'username').text = \
str(ann.attributes.pop('username', ''))
else:
raise NotImplementedError("Unknown shape type '%s'" % ann.type)
attrs = []
for k, v in ann.attributes.items():
attrs.append('%s=%s' % (k, v))
ET.SubElement(obj_elem, 'attributes').text = ', '.join(attrs)
obj_id += 1
for _, group in groups.items():
leader_id, leader_parts_elem = group[0]
leader_parts = [str(o_id) for o_id, _ in group[1:]]
ET.SubElement(leader_parts_elem, 'hasparts').text = \
','.join(leader_parts)
ET.SubElement(leader_parts_elem, 'ispartof').text = ''
for obj_id, parts_elem in group[1:]:
ET.SubElement(parts_elem, 'hasparts').text = ''
ET.SubElement(parts_elem, 'ispartof').text = str(leader_id)
xml_path = osp.join(subset_dir, 'item_%09d.xml' % index)
with open(xml_path, 'w', encoding='utf-8') as f:
xml_data = ET.tostring(root_elem, encoding='unicode',
pretty_print=True)
f.write(xml_data)
@staticmethod
def _paint_mask(mask):
# TODO: check if mask colors are random
return np.array([[0, 0, 0, 0], [255, 203, 0, 153]],
dtype=np.uint8)[mask.astype(np.uint8)] |