Package Contour Detection

# perform blurring, edge detection, dilation and erode to find contours
            imgBlur = cv2.GaussianBlur(img, (7, 7), 0)
            imgGray = cv2.cvtColor(imgBlur, cv2.COLOR_BGR2GRAY)
            imgCanny = cv2.Canny(imgGray, 50, 100)
            kernel = np.ones((5, 5))
            edged = cv2.dilate(imgCanny, kernel, iterations=1)
            edged = cv2.erode(edged, None, iterations=1)

            # call find contours to get all contours in image
            cnts = cv2.findContours(edged.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_NONE)
            cnts = imutils.grab_contours(cnts)
            if len(cnts) > 0:
                cnts = contours.sort_contours(cnts)[ 0 ]
            # color for each edge in case of rectangular bounding box
            colors = ((0, 0, 255), (240, 0, 159), (255, 0, 0), (255, 255, 0))

            # loop over the contours individually
            for (i, c) in enumerate(cnts):

                # if the contour is not sufficiently large, ignore it
                if cv2.contourArea(c) < 1000:
                    continue