MR.py 文件源码

def __MR_fill_superpixel_with_saliency(self,labels,saliency_score):
        sa_img = labels.copy().astype(float)
        for i in range(sp.amax(labels)+1):
            mask = labels == i
            sa_img[mask] = saliency_score[i]
        return cv2.normalize(sa_img,None,0,255,cv2.NORM_MINMAX)