digit_classifier.py 文件源码

def _zoning(image):
        """
        It works better with DSIZE = 28
        ~0.9967 precision and recall
        :param image:
        :return: #pixels/area ratio of each zone (7x7) as feature vector
        """
        zones = []
        for i in range(0, 28, 7):
            for j in range(0, 28, 7):
                roi = image[i:i+7, j:j+7]
                val = (np.sum(roi)/255) / 49.
                zones.append(val)
        return np.array(zones, np.float32)