# Path: object_detection/vod_converter/converter.py
# class Ingestor:
#     def validate(self, path):
#         """
#         Validate that a path contains files / directories expected for a given data format.
# 
#         This is where you can provide feedback to the end user if they are attempting to convert from
#         your format but have passed you path to a directory that is missing the expected files or directory
#         structure.
# 
#         :param path: Where the data is stored
#         :return: (sucess, error message), e.g (False, "error message") if anything is awry, (True, None) otherwise.
#         """
#         return True, None
# 
#     def ingest(self, path):
#         """
#         Read in data from the filesytem.
#         :param path: '/path/to/data/'
#         :return: an array of dicts conforming to `IMAGE_DETECTION_SCHEMA`
#         """
#         pass
# 
# class Egestor:
# 
#     def expected_labels(self):
#         """
#         Return a dict with a key for each label generally expected by this dataset format and
#         any aliases that should be converted.
# 
#         In the example below the expected labels are 'car' and 'pedestrian' and, for example, both
#         'Car' and 'auto' should be converted to 'car'.
# 
#         :return: {'car': ['Car', 'auto'], 'pedestrian': ['Person']}
#         """
#         raise NotImplementedError()
# 
#     def egest(self, image_detections, root):
#         """
#         Output data to the filesystem.
# 
#         Note: image_detections will already have any conversions specified via `expected_labels` applied
#         by the time they are passed to this method.
# 
#         :param image_detections: an array of dicts conforming to `IMAGE_DETECTION_SCHEMA`
#         :param root: '/path/to/output/data/'
#         """
#         raise NotImplementedError()


import shutil
import xml.etree.ElementTree as ET
import os
from object_detection.vod_converter.converter import Ingestor, Egestor
        segmented = xml_root.find('segmented').text == '1'
        segmented_path = None
        if segmented:
            segmented_path = "%s/SegmentationObject/%d.png" % (path, image_id)
            if not os.path.isfile(segmented_path):
                raise Exception("Expected segmentation file %s to exist." % segmented_path)
        image_width = int(size.find('width').text)
        image_height = int(size.find('height').text)
        return {
            'image': {
                'id': image_id,
                'path': image_path,
                'segmented_path': segmented_path,
                'width': image_width,
                'height': image_height
            },
            'detections': [self._get_detection(node) for node in xml_root.findall('object')]
        }

    def _get_detection(self, node):
        bndbox = node.find('bndbox')
        return {
            'label': node.find('name').text,
            'top': float(bndbox.find('ymin').text) - 1,
            'left': float(bndbox.find('xmin').text) - 1,
            'right': float(bndbox.find('xmax').text) - 1,
            'bottom': float(bndbox.find('ymax').text) - 1,
        }



# Path: object_detection/vod_converter/converter.py
# class Ingestor:
#     def validate(self, path):
#         """
#         Validate that a path contains files / directories expected for a given data format.
# 
#         This is where you can provide feedback to the end user if they are attempting to convert from
#         your format but have passed you path to a directory that is missing the expected files or directory
#         structure.
# 
#         :param path: Where the data is stored
#         :return: (sucess, error message), e.g (False, "error message") if anything is awry, (True, None) otherwise.
#         """
#         return True, None
# 
#     def ingest(self, path):
#         """
#         Read in data from the filesytem.
#         :param path: '/path/to/data/'
#         :return: an array of dicts conforming to `IMAGE_DETECTION_SCHEMA`
#         """
#         pass
# 
# class Egestor:
# 
#     def expected_labels(self):
#         """
#         Return a dict with a key for each label generally expected by this dataset format and
#         any aliases that should be converted.
# 
#         In the example below the expected labels are 'car' and 'pedestrian' and, for example, both
#         'Car' and 'auto' should be converted to 'car'.
# 
#         :return: {'car': ['Car', 'auto'], 'pedestrian': ['Person']}
#         """
#         raise NotImplementedError()
# 
#     def egest(self, image_detections, root):
#         """
#         Output data to the filesystem.
# 
#         Note: image_detections will already have any conversions specified via `expected_labels` applied
#         by the time they are passed to this method.
# 
#         :param image_detections: an array of dicts conforming to `IMAGE_DETECTION_SCHEMA`
#         :param root: '/path/to/output/data/'
#         """
#         raise NotImplementedError()


# Path: object_detection/vod_converter/voc.py
import shutil
import xml.etree.ElementTree as ET
import os
from object_detection.vod_converter.converter import Ingestor, Egestor

        segmented = xml_root.find('segmented').text == '1'
        segmented_path = None
        if segmented:
            segmented_path = "%s/SegmentationObject/%d.png" % (path, image_id)
            if not os.path.isfile(segmented_path):
                raise Exception("Expected segmentation file %s to exist." % segmented_path)
        image_width = int(size.find('width').text)
        image_height = int(size.find('height').text)
        return {
            'image': {
                'id': image_id,
                'path': image_path,
                'segmented_path': segmented_path,
                'width': image_width,
                'height': image_height
            },
            'detections': [self._get_detection(node) for node in xml_root.findall('object')]
        }

    def _get_detection(self, node):
        bndbox = node.find('bndbox')
        return {
            'label': node.find('name').text,
            'top': float(bndbox.find('ymin').text) - 1,
            'left': float(bndbox.find('xmin').text) - 1,
            'right': float(bndbox.find('xmax').text) - 1,
            'bottom': float(bndbox.find('ymax').text) - 1,
        }



class VOCEgestor(Egestor):