diff --git a/StereoVidComfort.py b/StereoVidComfort.py
index 19ce69b..3631a96 100644
--- a/StereoVidComfort.py
+++ b/StereoVidComfort.py
@@ -6,6 +6,7 @@ import os
 import sys
 from matplotlib import pyplot as plt
 
+
 '''
 TODO:
     0:读取视频  √
@@ -22,31 +23,33 @@ def openVid():
         print("file doesn't exist!")
         fileName = input("video path:")
     cap = cv2.VideoCapture(fileName)
-    if not cap.isOpened():
-        print("Video cannot be opened.")
-        sys.exit()
-    else:
+    if cap.isOpened():
         return cap
+    else:
+        print("cannot open video.")
+        sys.exit()
+        
 
 
 def getFrameCount(cap):
-    if not cap.isOpened():
-        print("Video cannot be opened.")
-        sys.exit()
-    else:
+    if cap.isOpened():
         return cap.get(cv2.CAP_PROP_FRAME_COUNT)
+    else:
+        print("cannot open video.")
+        sys.exit()
 
 
 def getFrameRate(cap):
-    if not cap.isOpened():
-        print("Video cannot be opened.")
-        sys.exit()
-    else:
+    if cap.isOpened():
         return cap.get(cv2.CAP_PROP_FPS)
+    else:
+        print("cannot open video.")
+        sys.exit()
 
 
 if __name__ == "__main__":
     cap = openVid()
+    isDemo = int(input("is Demo(0/1)?"))
     frameRate = getFrameRate(cap)
     frameCount = getFrameCount(cap)
 
@@ -55,50 +58,56 @@ if __name__ == "__main__":
         print("video read error.")
         sys.exit()
 
+    #分割左右画面
     imgL = np.split(img, 2, 1)[0]
     imgR = np.split(img, 2, 1)[1]
-    prvs = cv2.cvtColor(imgR, cv2.COLOR_BGR2GRAY)
-    hsv = np.zeros_like(imgR)
-    hsv[..., 1] = 255
+    prvs = cv2.cvtColor(imgR, cv2.COLOR_BGR2GRAY)       #前一帧的右画面灰度，用于运动矢量计算
+    hsv = np.zeros_like(imgR)       #将运动矢量按hsv显示，以色调h表示运动方向，以明度v表示运动位移
+    hsv[..., 1] = 255       #饱和度置为最高
 
-    cap.set(cv2.CAP_PROP_POS_FRAMES,52000)
-
-    for frameID in range(int(cap.get(cv2.CAP_PROP_POS_FRAMES)), int(frameCount), int(frameRate/4)):
+    #每秒取4帧进行计算
+    for frameID in range(round(cap.get(cv2.CAP_PROP_POS_FRAMES)), round(frameCount), round(frameRate/4)):
         cap.set(cv2.CAP_PROP_POS_FRAMES, frameID)
         isSuccess, img = cap.read()
         if not isSuccess:
             print("video read error.")
             sys.exit()
 
+        #分割左右画面
         imgL = np.split(img, 2, 1)[0]
         imgR = np.split(img, 2, 1)[1]
-        next = cv2.cvtColor(imgR, cv2.COLOR_BGR2GRAY)
-        flow = cv2.calcOpticalFlowFarneback(prvs, next, None, 0.5, 3, 15, 3, 5, 1.2, 0)
-        mag, ang = cv2.cartToPolar(flow[..., 0], flow[..., 1])
-        hsv[..., 0] = ang*180/np.pi/2
-        hsv[..., 2] = cv2.normalize(mag, None, 0, 255, cv2.NORM_MINMAX)
-        bgr = cv2.cvtColor(hsv, cv2.COLOR_HSV2BGR)
 
-        cv2.namedWindow("img", cv2.WINDOW_NORMAL)
-        cv2.imshow('img', img)
-        cv2.namedWindow("MotionVector",cv2.WINDOW_NORMAL)
-        cv2.imshow("MotionVector",bgr)
-        prvs = next
-        
+        next = cv2.cvtColor(imgR, cv2.COLOR_BGR2GRAY)       #当前帧的右画面灰度，用于运动矢量计算
+        flow = cv2.calcOpticalFlowFarneback(prvs, next, None, 0.5, 3, 15, 3, 5, 1.2, 0)     #计算两帧间的光流
+        mag, ang = cv2.cartToPolar(flow[..., 0], flow[..., 1])      #运动矢量的直角坐标表示转换为极坐标表示
+        hsv[..., 0] = ang*180/np.pi/2       #角度对应色调
+        hsv[..., 2] = cv2.normalize(mag, None, 0, 255, cv2.NORM_MINMAX)     #位移量对应明度
 
-        stereo = cv2.StereoSGBM_create(numDisparities=96, blockSize=11)
+        #计算深度图
+        stereo = cv2.StereoSGBM_create(numDisparities=64, blockSize=3)
         disparity = stereo.compute(imgL, imgR)
-        print("time: ", frameID/frameRate)
-        print("AVG depth: ",np.mean(disparity))
-        print("AVG motion: ",np.mean(hsv[...,2]))
+        print("time: ", round(frameID/frameRate,2))
+        print("AVG depth: ",round(np.mean(disparity),2))
+        print("AVG motion: ",round(np.mean(hsv[...,2]),2))
         print()
-        cv2.waitKey(1)
-        #cv2.waitKey(1)
-        #plt.title("DepthMap")
-        #plt.imshow(disparity)
-        #plt.pause(0.5)
+        
+        #当为demo模式时显示当前帧画面、运动矢量图和景深图
+        if isDemo:
+            #显示当前帧
+            cv2.namedWindow("img", cv2.WINDOW_NORMAL)
+            cv2.imshow('img', img)
 
+            #显示当前帧的运动矢量的hsv表示
+            bgr = cv2.cvtColor(hsv, cv2.COLOR_HSV2BGR)      #hsv转为rgb用于显示
+            cv2.namedWindow("MotionVector",cv2.WINDOW_NORMAL)
+            cv2.imshow("MotionVector",bgr)
+            
+            #显示当前帧的景深图
+            plt.title("DepthMap")
+            plt.imshow(disparity)
+            plt.pause(0.5)
 
+        prvs = next     #当前帧覆盖上一帧，继续计算
     print("success")