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))