| import os.path as osp |
| import xml.etree.ElementTree as ET |
|
|
| import mmcv |
|
|
| from .builder import DATASETS |
| from .xml_style import XMLDataset |
|
|
|
|
| @DATASETS.register_module() |
| class WIDERFaceDataset(XMLDataset): |
| """Reader for the WIDER Face dataset in PASCAL VOC format. |
| |
| Conversion scripts can be found in |
| https://github.com/sovrasov/wider-face-pascal-voc-annotations |
| """ |
| CLASSES = ('face', ) |
|
|
| def __init__(self, **kwargs): |
| super(WIDERFaceDataset, self).__init__(**kwargs) |
|
|
| def load_annotations(self, ann_file): |
| """Load annotation from WIDERFace XML style annotation file. |
| |
| Args: |
| ann_file (str): Path of XML file. |
| |
| Returns: |
| list[dict]: Annotation info from XML file. |
| """ |
|
|
| data_infos = [] |
| img_ids = mmcv.list_from_file(ann_file) |
| for img_id in img_ids: |
| filename = f'{img_id}.jpg' |
| xml_path = osp.join(self.img_prefix, 'Annotations', |
| f'{img_id}.xml') |
| tree = ET.parse(xml_path) |
| root = tree.getroot() |
| size = root.find('size') |
| width = int(size.find('width').text) |
| height = int(size.find('height').text) |
| folder = root.find('folder').text |
| data_infos.append( |
| dict( |
| id=img_id, |
| filename=osp.join(folder, filename), |
| width=width, |
| height=height)) |
|
|
| return data_infos |
|
|
