def merge_planet_img(uid,img_type,fieldid):
        import cv2
        import numpy as np
        from PIL import Image
        n_file_name = uid +'/highres_' + fieldid + '.png'
        #n_file_name = uid+'/'+img_type+'.png'
        mask_file_name = uid + '/'+'mask_img.png'
        n_file = cv2.imread(n_file_name)
        mask = cv2.imread(mask_file_name)

        orig_h,orig_w,orig_rgb = n_file.shape
        #n_array = cv2.resize(n_array,(orig_w,orig_h))
        h,w = orig_h,orig_w
        print(h)
        print(w)
        b_channel, g_channel, r_channel = cv2.split(n_file)
        b_white = b_channel
        g_white = g_channel
        r_white = r_channel
        alpha_channel = np.zeros([h,w])
        for y in range(0,h):
            for x in range(0,w):
                if mask[y][x][0] == 255:
                    alpha_channel[y][x] = 255
                    #b_white[y][x] = 255
                    #g_white[y][x] = 255
                    #r_white[y][x] = 255
                    #print('caamh')
                else:
                    alpha_channel[y][x] = 0
                    b_white[y][x] = 255
                    g_white[y][x] = 255
                    r_white[y][x] = 255
        alpha_channel = alpha_channel.astype(np.uint8)
        img_RGBA = cv2.merge((b_channel, g_channel, r_channel, alpha_channel))
        img_white = cv2.merge((b_white, g_white, r_white, alpha_channel))
        n_white_name = uid+'/'+img_type+'_' + fieldid+'.png'
        sw2 = cv2.imwrite(n_white_name, img_white)
        sw2 = cv2.imwrite(n_file_name, img_RGBA)