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imgsegmentation_test.py
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imgsegmentation_test.py
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import numpy as np
from skimage.data import imread
import unittest
class ImgSegmFelzen(unittest.TestCase):
def setUp(self):
# TODO fix this
from imgsegmentation import *
# test single segmentations
self.segmenter1 = ImgSegmFelzen(scales = [300], sigmas = [0.4], \
min_sizes = [40])
# test multiple segmentations
self.segmenter2 = ImgSegmFelzen(scales = [200, 300], \
sigmas = [0.3, 0.4], \
min_sizes = [40])
def tearDown(self):
self.segmenter1 = None
self.segmenter2 = None
def test_extract(self):
img = imread('test_data/ILSVRC2012_val_00000001_n01751748.JPEG')
segm_mask = self.segmenter1.extract(img)
self.assertEqual(segm_mask[0][100,10], 127)
self.assertEqual(segm_mask[0][100,100], 0)
self.assertEqual(np.max(segm_mask[0]), 662)
segm_masks = self.segmenter2.extract(img)
self.assertEqual(segm_masks[0][100,10], 0)
self.assertEqual(segm_masks[0][100,100], 0)
self.assertEqual(np.max(segm_masks[0]), 0)
self.assertEqual(segm_masks[2][100,10], 66)
self.assertEqual(segm_masks[2][100,100], 0)
self.assertEqual(np.max(segm_masks[2]), 409)
self.assertEqual(segm_masks[3][100,10], 127)
self.assertEqual(segm_masks[3][100,100], 0)
self.assertEqual(np.max(segm_masks[3]), 662)
#=============================================================================
# TODO here test slic segmentation, whenever it is implemented
#=============================================================================
if __name__ == '__main__':
unittest.main()