def test_circle_model_residuals():
model = CircleModel()
model.params = (0, 0, 5)
assert_almost_equal(abs(model.residuals(np.array([[5, 0]]))), 0)
assert_almost_equal(abs(model.residuals(np.array([[6, 6]]))),
np.sqrt(2 * 6**2) - 5)
assert_almost_equal(abs(model.residuals(np.array([[10, 0]]))), 5)
def test_circle_model_residuals():
model = CircleModel()
model.params = (0, 0, 5)
assert_almost_equal(abs(model.residuals(np.array([[5, 0]]))), 0)
assert_almost_equal(abs(model.residuals(np.array([[6, 6]]))),
np.sqrt(2 * 6**2) - 5)
assert_almost_equal(abs(model.residuals(np.array([[10, 0]]))), 5)
deviations = []
for color in (0, 1, 2):
masked = ma.array(hsv[:, :, color], mask=~canvas.astype(np.bool))
deviations.append(masked.std())
mole.h = deviations[0]
mole.s = deviations[1]
mole.v = deviations[2]
# In[104]:
from skimage.measure import CircleModel
circle_model = CircleModel()
circle_model.estimate(contours[0])
symmetry = circle_model.residuals(contours[0]).mean()
mole.symmetry = symmetry
# In[125]:
diameter = (19.05 / coin_radius) * (circle_model.params[2])
mole.diameter = diameter
mole.status = 100
db.session.merge(mole)
db.session.commit()
