def setUp(self):
image1 = cv2.imread('3cars.jpg')
image2 = cv2.imread('0cars.JPG')
fgbs = cv2.BackgroundSubtractorMOG()
params = cv2.SimpleBlobDetector_Params()
params.filterByColor = True
params.blobColor = 255
params.filterByConvexity = True
params.minConvexity = 0.87
detector = cv2.SimpleBlobDetector(params)
self.frame = Frame(image1, fgbs, detector)
self.frame2 = Frame(image2, fgbs, detector)
worldarg = "0;180=c3x2wb3240dw;c3x2wb331v77,180;360=c3x2wb331v77;c3x2wb3240dw"
world = {}
worldargs = worldarg.split(",")
for data in worldargs:
angles,coords = data.split("=")
world[str(tuple(angles.split(';')))] = str(tuple(coords.split(';')))
self.world = world
class FrameTestCase(unittest.TestCase):
def setUp(self):
image1 = cv2.imread('3cars.jpg')
image2 = cv2.imread('0cars.JPG')
fgbs = cv2.BackgroundSubtractorMOG()
params = cv2.SimpleBlobDetector_Params()
params.filterByColor = True
params.blobColor = 255
params.filterByConvexity = True
params.minConvexity = 0.87
detector = cv2.SimpleBlobDetector(params)
self.frame = Frame(image1, fgbs, detector)
self.frame2 = Frame(image2, fgbs, detector)
worldarg = "0;180=c3x2wb3240dw;c3x2wb331v77,180;360=c3x2wb331v77;c3x2wb3240dw"
world = {}
worldargs = worldarg.split(",")
for data in worldargs:
angles,coords = data.split("=")
world[str(tuple(angles.split(';')))] = str(tuple(coords.split(';')))
self.world = world
def tearDown(self):
self.frame.dispose()
self.frame = None
def test_count_vehicles(self):
keypoints,_ = self.frame.analyzeFrame(None, self.world)
self.assertAlmostEqual(len(keypoints),3, delta=1)
def test_count_no_vehicles(self):
keypoints,_ = self.frame2.analyzeFrame(None, self.world)
self.assertAlmostEqual(len(keypoints),0, delta=1)
def suite(self):
suite = unittest.TestSuite()
suite.addTest(FrameTestCase('test_count_vehicles'))
return suite
