def test_badRoiBoundary(self):
data = FMDLData()
data.roi_boundary_contour = np.zeros((100,1), int)
data.config = Config(
{'minContourArea': 8000,'roiBoundaryPointsReductionFactor': 0.01,
"intersectingRoiMaxIterations": 5, "intersectingRoiStepSize": 0.001,},
[('intersectingRoiStepSize', 0.00001, 0.1, 'float'),
('intersectingRoiMaxIterations', 0, 100, 'integer'),
('minContourArea', 10, 100000, 'integer'),
('roiBoundaryPointsReductionFactor',0.001, 0.1, 'float'),])
areIntersecting = areRoiBoundaryPointsIntersecting(data.roi_boundary_contour)
self.assertTrue(areIntersecting)
def test_badPostProcessedRoi(self):
data = FMDLData()
data.postProcessed_roi_actualSize = np.zeros((100, 1), int)
data.config = Config(
{
'minContourArea': 8000,
'roiBoundaryPointsReductionFactor': 0.01
},
[('minContourArea', 10, 100000, 'integer'),('roiBoundaryPointsReductionFactor',\
0.001, 0.1, 'float'),])
validResults = getRoiContour(data)
self.assertFalse(validResults)
self.assertEqual(len(data.approximated_roi_boundary), 0)
def test_outputs_notInteresecting2(self):
data = FMDLData()
data.approximated_roi_boundary = self.groundTruth_approximated_roi_boundary
data.config = Config(
{'minContourArea': 8000,'roiBoundaryPointsReductionFactor': 0.01,
"intersectingRoiMaxIterations": 10, "intersectingRoiStepSize": 0.001,},
[('intersectingRoiStepSize', 0.00001, 0.1, 'float'),
('intersectingRoiMaxIterations', 0, 100, 'integer'),
('minContourArea', 10, 100000, 'integer'),
('roiBoundaryPointsReductionFactor',0.001, 0.1, 'float'),])
areIntersecting = areRoiBoundaryPointsIntersecting(data.approximated_roi_boundary[:,0,:])
self.assertFalse(areIntersecting)
def test_missingRoiActualSize(self):
data = FMDLData()
data.config = Config(
{
'closingKernelSize': 7,
'closingIterations': 1,
'erosionKernelSize': 7,
'erosionIterations': 1,
}, [
('closingKernelSize', 1, 20),
('closingIterations', 0, 20),
('erosionKernelSize', 1, 20),
('erosionIterations', 0, 20),
])
validResults = postProcessRoi(data)
self.assertFalse(validResults)
self.assertEqual(len(data.postProcessed_roi_actualSize), 0)
def test_missingBucketBoundary(self):
data = FMDLData()
data.load_image(self.byteArrayImage)
data.config = Config(
{'minBoundingBoxAspectRatio':1.5,'maxBoundingBoxAspectRatio': 3,'measuredBucketWidthCM':300,"effectiveWidthYcoordMultiplier":0.5,'maxDiffBetweenAbsBucketEdgeSlopes': 3},
[
('measuredBucketWidthCM', 10, 100000, 'float'),
('minBoundingBoxAspectRatio', 0.1, 10, 'float'),
('maxBoundingBoxAspectRatio', 0.1, 10, 'float'),
('effectiveWidthYcoordMultiplier', 0, 1, 'float'),
('maxDiffBetweenAbsBucketEdgeSlopes', 0, 100, 'float'),
])
validResults = getPixel2CmConversionFactor(data)
self.assertFalse(validResults)
self.assertEqual(data.pixel2CM_conversion_factor , -1)
self.assertEqual(data.bucketWidthPX, -1)
self.assertEqual(data.bucketWidthPointsXCord, [])
def test_bucketBoundaryWithWrongAspectRatio(self):
data = FMDLData()
data.load_image(self.byteArrayImage)
data.bucketBoundary = (1,2,3,4)
data.config = Config(
{'minBoundingBoxAspectRatio':1.5,'maxBoundingBoxAspectRatio': 3,'measuredBucketWidthCM':300,"effectiveWidthYcoordMultiplier":0.5,'maxDiffBetweenAbsBucketEdgeSlopes': 3},
[
('measuredBucketWidthCM', 10, 100000, 'float'),
('minBoundingBoxAspectRatio', 0.1, 10, 'float'),
('maxBoundingBoxAspectRatio', 0.1, 10, 'float'),
('effectiveWidthYcoordMultiplier', 0, 1, 'float'),
('maxDiffBetweenAbsBucketEdgeSlopes', 0, 100, 'float'),
])
validResults = getPixel2CmConversionFactor(data)
self.assertFalse(validResults)
def test_missingConfigItems(self):
data = FMDLData()
data.load_image(self.byteArrayImage)
data.bucketBoundary = (0.3406982123851776, 0.059263408184051514, 1.0,
0.8910735845565796)
data.config = Config(
{
'minBoundingBoxAspectRatio': 1.5,
'measuredBucketWidthCM': 300,
}, [
('measuredBucketWidthCM', 10, 100000, 'float'),
('minBoundingBoxAspectRatio', 0.1, 10, 'float'),
('maxBoundingBoxAspectRatio', 0.1, 10, 'float'),
('effectiveWidthYcoordMultiplier', 0, 1, 'float'),
('maxDiffBetweenAbsBucketEdgeSlopes', 0, 100, 'float'),
])
results = getDetectedBucketWidthAndHeightInPixels(data)
self.assertEqual(results, (-1, -1, -1, ()))
def test_missingInputImage(self):
data = FMDLData()
data.bucketBoundary = (1, 2, 3, 4)
data.config = Config(
{
'minBoundingBoxAspectRatio': 1.5,
'maxBoundingBoxAspectRatio': 3,
'measuredBucketWidthCM': 300,
"effectiveWidthYcoordMultiplier": 0.5,
"maxDiffBetweenAbsBucketEdgeSlopes": 5
}, [
('measuredBucketWidthCM', 10, 100000, 'float'),
('minBoundingBoxAspectRatio', 0.1, 10, 'float'),
('maxBoundingBoxAspectRatio', 0.1, 10, 'float'),
('effectiveWidthYcoordMultiplier', 0, 1, 'float'),
('maxDiffBetweenAbsBucketEdgeSlopes', 0, 100, 'float'),
])
results = getDetectedBucketWidthAndHeightInPixels(data)
self.assertEqual(results, (-1, -1, -1, ()))
def test_missingConfigItems(self):
data = FMDLData()
data.load_image(self.byteArrayImage)
data.bucketBoundary = (0.3406982123851776, 0.059263408184051514, 1.0, 0.8910735845565796)
data.config = Config(
{'minBoundingBoxAspectRatio':1.5,'measuredBucketWidthCM':300,'maxDiffBetweenAbsBucketEdgeSlopes': 3},
[
('measuredBucketWidthCM', 10, 100000, 'float'),
('minBoundingBoxAspectRatio', 0.1, 10, 'float'),
('maxBoundingBoxAspectRatio', 0.1, 10, 'float'),
('effectiveWidthYcoordMultiplier', 0, 1, 'float'),
('maxDiffBetweenAbsBucketEdgeSlopes', 0, 100, 'float'),
])
validResults = getPixel2CmConversionFactor(data)
self.assertFalse(validResults)
self.assertEqual(data.pixel2CM_conversion_factor , -1)
self.assertEqual(data.bucketWidthPX, -1)
self.assertEqual(data.bucketWidthPointsXCord, [])
def test_badInputImage1(self):
data = FMDLData()
data.load_image('tests/networksAndImages-forUnitTesting/FMDL_2018.04.30_19.11.20.png')
data.bucketBoundary = (1,2,3,4)
data.config = Config(
{'minBoundingBoxAspectRatio':1.5,'maxBoundingBoxAspectRatio': 3,'measuredBucketWidthCM':300,"effectiveWidthYcoordMultiplier":0.5,'maxDiffBetweenAbsBucketEdgeSlopes': 3},
[
('measuredBucketWidthCM', 10, 100000, 'float'),
('minBoundingBoxAspectRatio', 0.1, 10, 'float'),
('maxBoundingBoxAspectRatio', 0.1, 10, 'float'),
('effectiveWidthYcoordMultiplier', 0, 1, 'float'),
('maxDiffBetweenAbsBucketEdgeSlopes', 0, 100, 'float'),
])
validResults = getPixel2CmConversionFactor(data)
self.assertFalse(validResults)
self.assertEqual(data.pixel2CM_conversion_factor , -1)
self.assertEqual(data.bucketWidthPX, -1)
self.assertEqual(data.bucketWidthPointsXCord, [])
def test_outputs(self):
data = FMDLData()
data.load_image(self.byteArrayImage)
data.bucketBoundary = (0.3406982123851776, 0.059263408184051514, 1.0, 0.8910735845565796)
data.config = Config(
{'minBoundingBoxAspectRatio':1.5,'maxBoundingBoxAspectRatio': 3,'measuredBucketWidthCM':300,"effectiveWidthYcoordMultiplier":0.5,'maxDiffBetweenAbsBucketEdgeSlopes': 3},
[
('measuredBucketWidthCM', 10, 100000, 'float'),
('minBoundingBoxAspectRatio', 0.1, 10, 'float'),
('maxBoundingBoxAspectRatio', 0.1, 10, 'float'),
('effectiveWidthYcoordMultiplier', 0, 1, 'float'),
('maxDiffBetweenAbsBucketEdgeSlopes', 0, 100, 'float'),
])
validResults = getPixel2CmConversionFactor(data)
self.assertTrue(validResults)
self.assertTrue(np.allclose(data.pixel2CM_conversion_factor, (0.5639097744360902), atol=1e-04))
self.assertAlmostEqual(data.bucketWidthPX, 532)
self.assertEqual(data.bucketWidthPointsXCord[0], 38)
self.assertEqual(data.bucketWidthPointsXCord[1], 570)