Python cv2.KMEANS_PP_CENTERS Examples

The following are 1 code examples of cv2.KMEANS_PP_CENTERS(). You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may also want to check out all available functions/classes of the module cv2 , or try the search function .
Example #1
Source File: filter.py    From Walk-Assistant with GNU General Public License v3.0 5 votes vote down vote up 
def color_quantization(img, n_cluster, iteration, epsilon=1.0):
        Z = img.reshape((-1, 3))
        Z = np.float32(Z)

        criteria = (cv2.TERM_CRITERIA_EPS + cv2.TERM_CRITERIA_MAX_ITER, iteration, epsilon)
        ret, label, center = cv2.kmeans(Z, n_cluster, None, criteria, iteration, cv2.KMEANS_PP_CENTERS)

        labels = label.reshape((img.shape[0], img.shape[1], 1))
        # center = np.uint(center)
        # visual = center[label.flatten()]
        # visual = visual.reshape(img.shape)
        # visual = np.uint8(visual)

        return labels