def test_missingBestBoundary(self):
data = FMDLData()
data.load_image(self.byteArrayImage)
data.roi_roidDelineatorSize = self.test_roiDetection
validResults = uncropImage(data)
self.assertFalse(validResults)
self.assertEqual(len(data.roi_actualSize), 0)
def test_missingInputImage(self):
data = FMDLData()
data.roi_roidDelineatorSize = self.test_roiDetection
data.bestBoundary = (0.36415937542915344, 0.059263408184051514,
0.9990353584289551, 0.8910735845565796)
validResults = uncropImage(data)
self.assertFalse(validResults)
self.assertEqual(len(data.roi_actualSize), 0)
def test_badRoidDelineatorSize(self):
data = FMDLData()
data.load_image(self.byteArrayImage)
data.roi_roidDelineatorSize = np.zeros(100)
data.bestBoundary = (0.36415937542915344, 0.059263408184051514,
0.9990353584289551, 0.8910735845565796)
validResults = uncropImage(data)
self.assertFalse(validResults)
def test_outputs(self):
data = FMDLData()
data.load_image(self.byteArrayImage)
data.roi_roidDelineatorSize = self.test_roiDetection
data.bestBoundary = (0.36415937542915344, 0.059263408184051514,
0.9990353584289551, 0.8910735845565796)
validResults = uncropImage(data)
actualRoiUncropped = cv2.imread(
'tests/networksAndImages-forUnitTesting/roiActualSize_FMDL_2018.04.30_19.11.20.png'
)
actualRoiUncropped = cv2.cvtColor(actualRoiUncropped,
cv2.COLOR_BGR2GRAY)
self.assertTrue(validResults)
self.assertTrue(
np.allclose(data.roi_actualSize, actualRoiUncropped, atol=1e-04))