def test_segment_random_image(self):
img = random_noise_image((100, 100))
random_segment_image(img, density=3., lmin=0.3)
random_segment_image(img, density=5., lmin=0.3)
random_segment_image(img, density=5., lmin=0.3)
seg = detect_segments(img, seuil_nfa=10, seuil_norme=1, verbose=0)
# self.assertNotEmpty(seg)
self.assertTrue(seg is not None)
def test_segment_random_image(self):
img = random_noise_image((100, 100))
random_segment_image(img, density=3., lmin=0.3)
random_segment_image(img, density=5., lmin=0.3)
random_segment_image(img, density=5., lmin=0.3)
seg = detect_segments(img, seuil_nfa=10, seuil_norme=1, verbose=0)
# self.assertNotEmpty(seg)
self.assertTrue(seg is not None)
def test_segment_detection(self):
temp = get_temp_folder(__file__, "temp_segment_detection")
img = os.path.join(temp, "..", "data", "eglise_zoom2.jpg")
outfile = os.path.join(temp, "seg.png")
seg = detect_segments(img, stop=100)
plot_segments(img, seg, outfile=outfile)
self.assertIsInstance(seg, list)
self.assertEqual(len(seg), 107)
seg.sort()
self.assertGreater(len(seg), 0)
def test_segment_detection(self):
temp = get_temp_folder(__file__, "temp_segment_detection")
img = os.path.join(temp, "..", "data", "eglise_zoom2.jpg")
outfile = os.path.join(temp, "seg.png")
seg = detect_segments(img, stop=100)
plot_segments(img, seg, outfile=outfile)
self.assertIsInstance(seg, list)
self.assertEqual(len(seg), 107)
seg.sort()
self.assertGreater(len(seg), 0)
def test_segment_detection_profile(self):
img = os.path.join(os.path.dirname(__file__),
"data", "eglise_zoom2.jpg")
rootrem = os.path.normpath(os.path.abspath(
os.path.join(os.path.dirname(rootfile), '..')))
_, res = self.profile(lambda: detect_segments(
img, stop=100), rootrem=rootrem)
short = "\n".join(res.split('\n')[:25])
if __name__ == "__main__":
print(short)
self.assertIn("detect_segments", short)
def test_segment_detection_profile(self):
img = os.path.join(os.path.dirname(__file__),
"data", "eglise_zoom2.jpg")
rootrem = os.path.normpath(os.path.abspath(
os.path.join(os.path.dirname(rootfile), '..')))
_, res = self.profile(lambda: detect_segments(
img, stop=100), rootrem=rootrem)
short = "\n".join(res.split('\n')[:25])
if __name__ == "__main__":
print(short)
self.assertIn("detect_segments", short)