contours_test

from cv2 import *

bottle_image_name = 'bottle.jpg'

bottle_image = imread(bottle_image_name,CV_LOAD_IMAGE_GRAYSCALE)

contours, hierarchy = findContours(bottle_image, RETR_EXTERNAL, CHAIN_APPROX_SIMPLE)
print contours
for contour in contours:

    num_points = len(contour)
    if num_points < 5:
        print 'upp'# The contour has too few points to fit an ellipse. Skip it.
        continue

    # We could use area to help determine the type of object.
    # Small contours are probably false detections (not really a whole object).
    area = contourArea(contour)

    bounding_ellipse = fitEllipse(contour)
    center, radii, angle_degrees = bounding_ellipse

    print center, radii, angle_degrees

    # Let's define an ellipse's normal orientation to be landscape (width > height).
    # We must ensure that the ellipse's measurements match this orientation.
    if radii[0] < radii[1]:
        radii = (radii[1], radii[0])
        angle_degrees -= 90.0

    # We could use the angle to help determine the type of object.
    # A bottle or can's angle is probably approximately a multiple of 90 degrees,
    # assuming that it is at rest and not falling.

    # Calculate the aspect ratio (width / height).
    # For example, 0.5 means the object's height is 2 times its width.
    # A bottle is probably taller than a can.
    aspect_ratio = radii[0] / radii[1]