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65 lines
1.5 KiB
65 lines
1.5 KiB
import numpy as np
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import skimage.io
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class Channel(object):
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def __init__(self, name, camera, exposure_time):
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self._name = name
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self._camera = camera
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self._exposure_time = exposure_time
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@property
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def name(self):
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if self._name is not None and self._name != "":
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return self._name
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return "UnnamedChannel"
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@property
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def camera(self):
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return self._camera
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@property
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def exposure_time(self):
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return self._exposure_time
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class ImageSet(object):
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"""
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A group of images that share the same timestamp. NIS Elements doesn't store a unique timestamp for every
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image, rather, it stores one for each set of images that share the same field of view and z-axis level.
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"""
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def __init__(self):
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self._images = []
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def add(self, image):
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"""
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:type image: nd2reader.model.Image()
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"""
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self._images.append(image)
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def __iter__(self):
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for image in self._images:
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yield image
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class Image(object):
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def __init__(self, timestamp, raw_array, height, width):
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self._timestamp = timestamp
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self._raw_data = raw_array
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self._height = height
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self._width = width
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@property
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def timestamp(self):
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# TODO: Convert to datetime object
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return self._timestamp
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@property
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def data(self):
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return np.reshape(self._raw_data, (self._height, self._width))
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def show(self):
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skimage.io.imshow(self.data)
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skimage.io.show()
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