sudo実行で、なぜかビデオwindowsを生成できない、できるようにしたい

from __future__ import division
import time

import os,sys
#sys.path.append(os.getcwd())


#from Adafruit_Python_PCA9685.Adafruit_PCA9685 import Adafruit_PCA9685
#from Adafruit_Python_PCA9685 import Adafruit_PCA9685
import Adafruit_PCA9685

pwm = Adafruit_PCA9685.PCA9685()
pwm.set_pwm_freq(50)

import cv2 
print(cv2) 

import sys
import cv2.cv as cv
#import cv2 

#import cv2 as cv

from optparse import OptionParser


def move(degree_1,degree_2):
    degree_1 = int(degree_1 * 5.27)
    degree_2 = int(degree_2 * 5.27)
    pwm.set_pwm(0, 0, degree_1)
    pwm.set_pwm(1, 0, degree_2)

# Parameters for haar detection
# From the API:
# The default parameters (scale_factor=2, min_neighbors=3, flags=0) are tuned 
# for accurate yet slow object detection. For a faster operation on real video 
# images the settings are: 
# scale_factor=1.2, min_neighbors=2, flags=CV_HAAR_DO_CANNY_PRUNING, 
# min_size=<minimum possible face size

min_size = (20, 20)
image_scale = 2
haar_scale = 1.2
min_neighbors = 2
haar_flags = 0

def detect_and_draw(img, cascade):
    # allocate temporary images
    gray = cv.CreateImage((img.width,img.height), 8, 1)
    small_img = cv.CreateImage((cv.Round(img.width / image_scale),
			       cv.Round (img.height / image_scale)), 8, 1)

    # convert color input image to grayscale
    cv.CvtColor(img, gray, cv.CV_BGR2GRAY)

    # scale input image for faster processing
    cv.Resize(gray, small_img, cv.CV_INTER_LINEAR)

    cv.EqualizeHist(small_img, small_img)

    if(cascade):
        t = cv.GetTickCount()
        faces = cv.HaarDetectObjects(small_img, cascade, cv.CreateMemStorage(0),
                                     haar_scale, min_neighbors, haar_flags, min_size)
        t = cv.GetTickCount() - t
        print "detection time = %gms" % (t/(cv.GetTickFrequency()*1000.))
        if faces:
            for ((x, y, w, h), n) in faces:
                # the input to cv.HaarDetectObjects was resized, so scale the 
                # bounding box of each face and convert it to two CvPoints
                pt1 = (int(x * image_scale), int(y * image_scale))
                pt2 = (int((x + w) * image_scale), int((y + h) * image_scale))
                cv.Rectangle(img, pt1, pt2, cv.RGB(255, 0, 0), 3, 8, 0)

    cv.ShowImage("result", img)

if __name__ == '__main__':

    print('move')
    move(60,60)
    time.sleep(1)
    move(65,60)
    time.sleep(1)
    move(65,65)
    time.sleep(1)
    move(60,65)
    time.sleep(1) 
    move(60,55)
    time.sleep(1)   
    print('stop')
    print('koko')


    parser = OptionParser(usage = "usage: %prog [options] [filename|camera_index]")
    parser.add_option("-c", "--cascade", action="store", dest="cascade", type="str", help="Haar cascade file, default %default", default = "../data/haarcascades/haarcascade_frontalface_alt.xml")
    (options, args) = parser.parse_args()

    cascade = cv.Load(options.cascade)
    
    if len(args) != 1:
        parser.print_help()
        sys.exit(1)

    print('koko1')

    input_name = args[0]
    if input_name.isdigit():
        capture = cv.CreateCameraCapture(int(input_name))
        print('koko222')
    else:
        capture = None
        print('koko2')

    print('abspath:     ', os.path.abspath(__file__))
    print('abs dirname: ', os.path.dirname(os.path.abspath(__file__)))
    print('koko3')

    cv.NamedWindow("result",0)
    #cv.NamedWindow("aresult")

    print('koko4')


    width = 320 #leave None for auto-detection
    height = 240 #leave None for auto-detection

    if width is None:
    	width = int(cv.GetCaptureProperty(capture, cv.CV_CAP_PROP_FRAME_WIDTH))
    else:
    	cv.SetCaptureProperty(capture,cv.CV_CAP_PROP_FRAME_WIDTH,width)    

    if height is None:
	height = int(cv.GetCaptureProperty(capture, cv.CV_CAP_PROP_FRAME_HEIGHT))
    else:
	cv.SetCaptureProperty(capture,cv.CV_CAP_PROP_FRAME_HEIGHT,height) 

    if capture:
        frame_copy = None
        while True:

            frame = cv.QueryFrame(capture)
            if not frame:
                cv.WaitKey(0)
                break
            if not frame_copy:
                frame_copy = cv.CreateImage((frame.width,frame.height),
                                            cv.IPL_DEPTH_8U, frame.nChannels)

#                frame_copy = cv.CreateImage((frame.width,frame.height),
#                                            cv.IPL_DEPTH_8U, frame.nChannels)

            if frame.origin == cv.IPL_ORIGIN_TL:
                cv.Copy(frame, frame_copy)
            else:
                cv.Flip(frame, frame_copy, 0)
            
            detect_and_draw(frame_copy, cascade)

            kuri=1            
            print('move')
            move(60+kuri,60+kuri)
            time.sleep(1)
            kuri=-5
            move(60+kuri,60+kuri)
            time.sleep(1)

            if cv.WaitKey(10) >= 0:
                break
    else:
        image = cv.LoadImage(input_name, 1)
        detect_and_draw(image, cascade)
        cv.WaitKey(0)

    cv.DestroyWindow("result")

```### 前提・実現したいこと

Raspbery-Piで、顔画像を追いかけるように、カメラを動かそうとしています。sudo実行では、カメラをサーボモータで動かせるが、ビデオが作成されません。sudo無しで実行すると、サーボ駆動ができなくなります。
### 発生している問題・エラーメッセージ
sudo実行で、
SUDO python m-facedtect.py --cascae=face.xml 0 だと、下記のエラーです。

Client is not authorized to connect to Server
(result:3174): Gtk-WARNING **: cannot open display: :0.0

調べると、import cv2cv as cv としていて、コードが、
cv.NamedWindow("result",0)
のところです。

sudoなしの実行で、python m-facedtect.py --cascae=face.xml 0 だと、下記のエラーです。

Traceback (most recent call last):
  File "m-facedetect.py", line 12, in <module>
    pwm = Adafruit_PCA9685.PCA9685()
  File "/usr/local/lib/python2.7/dist-packages/Adafruit_PCA9685-1.0.1-py2.7.egg/Adafruit_PCA9685/PCA9685.py", line 75, in __init__
    self._device = i2c.get_i2c_device(address, **kwargs)
  File "/usr/local/lib/python2.7/dist-packages/Adafruit_GPIO-1.0.3-py2.7.egg/Adafruit_GPIO/I2C.py", line 65, in get_i2c_device
    return Device(address, busnum, i2c_interface, **kwargs)
  File "/usr/local/lib/python2.7/dist-packages/Adafruit_GPIO-1.0.3-py2.7.egg/Adafruit_GPIO/I2C.py", line 98, in __init__
    self._bus = Adafruit_PureIO.smbus.SMBus(busnum)
  File "/usr/local/lib/python2.7/dist-packages/Adafruit_PureIO-0.2.1-py2.7.egg/Adafruit_PureIO/smbus.py", line 97, in __init__
    self.open(bus)
  File "/usr/local/lib/python2.7/dist-packages/Adafruit_PureIO-0.2.1-py2.7.egg/Adafruit_PureIO/smbus.py", line 122, in open
    self._device = open('/dev/i2c-{0}'.format(bus), 'r+b', buffering=0)
IOError: [Errno 13] Permission denied: '/dev/i2c-1'

### 該当のソースコード　
### 試したこと
sudo に、cv2.cv　の利用権限を、与えなおそうとした。
 sudo -R root /usr/lib/pymodules/python2.7/cv2.so
しかし、/usr/lib/pymodules/python2.7/cv2.so　がないというメッセージがでた。
この場所は、
import　cv2
print(cv2)で、返ってくる、場所で、実際にあります。