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- import logging
- from nd2reader.service import BaseNd2
- from nd2reader.model import Image, ImageSet
-
- log = logging.getLogger(__name__)
- log.setLevel(logging.DEBUG)
-
-
- class Nd2(BaseNd2):
- def __init__(self, filename):
- super(Nd2, self).__init__(filename)
-
- def get_image(self, time_index, fov, channel_name, z_level):
- image_set_number = self._calculate_image_set_number(time_index, fov, z_level)
- timestamp, raw_image_data = self._reader.get_raw_image_data(image_set_number, self.channel_offset[channel_name])
- return Image(timestamp, raw_image_data, fov, channel_name, z_level, self.height, self.width)
-
- def __iter__(self):
- """
- Just return every image in order (might not be exactly the order that the images were physically taken, but it will
- be within a few seconds). A better explanation is probably needed here.
-
- """
- for i in range(self._image_count):
- for fov in range(self.field_of_view_count):
- for z_level in range(self.z_level_count):
- for channel in self.channels:
- image = self.get_image(i, fov, channel.name, z_level)
- if image.is_valid:
- yield image
-
- def image_sets(self, field_of_view, time_indices=None, channels=None, z_levels=None):
- """
- Gets all the images for a given field of view and
- """
- timepoint_set = xrange(self.time_index_count) if time_indices is None else time_indices
- channel_set = [channel.name for channel in self.channels] if channels is None else channels
- z_level_set = xrange(self.z_level_count) if z_levels is None else z_levels
-
- for timepoint in timepoint_set:
- image_set = ImageSet()
- for channel_name in channel_set:
- for z_level in z_level_set:
- image = self.get_image(timepoint, field_of_view, channel_name, z_level)
- if image.is_valid:
- image_set.add(image)
- yield image_set
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