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some tools about pascal voc format dataset

Project description

Pascal VOC Tools

This package includes some tools about pascal voc format dataset like read xml, write xml, resize image.

XmlReader

from pascal_voc_tools import XmlReader

>>> xml_path = './test.xml'
>>> reader = XmlReader(xml_path)
>>> ann_dict = reader.load()

som functions for reading a xml file and geting data in it.

XmlWriter

from pascal_voc_tools import XmlWriter

>>> writer = XmlWriter(image_path, image_width, image_height, image_depth, database, segmented)
>>> writer.add_object(name, xmin, ymin, xmax, ymax, pose, truncated, difficult)
>>> writer.save(save_path)

Actually, if you have a dict have the format same as loaded dict from XmlReader, you can simply used like:

>>> writer = XmlWriter()
>>> writer.save(save_path, ann_dict)

DatasetResize

from pascal_voc_tools import DatasetResize

>>> resizer = DatasetResize(root_voc_dir, save_voc_dir)
>>> resizer.resize_dataset_by_min_size(min_size)
>>> resizer.copy_imagesets()  # if the file include

DataSplit

from pascal_voc_tools import DataSplit

>>> spliter = DataSplit(root_dir)
>>> result = spliter.split_by_rate(test_rate)
>>> spliter.save(result)

add Augmenter from https://github.com/Paperspace/DataAugmentationForObjectDetection

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