我在Python3和OpenCV 3.1中为Odroid C1上的延时照片编写了一个脚本：
不幸的是，有时从网络摄像头的图像是混乱的：下面是一些示例照片。
第一节第一节第一节第一节第一次
下面是源代码：

import numpy as np
import cv2
import time
import datetime
import sys

cap = cv2.VideoCapture(0) # USB webcam

cap.set(3,2304.0) #  Resolution: Width
cap.set(4,1296.0) # Resolution: Height
cap.set(5, 6) #webcam capture FPS 
print(str(cap.get(3)),str(cap.get(4)),str(cap.get(5)))

def captureImage():
         ret, frame = cap.read()
         curr_time = datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S")
         filename = 'littleGarden_'+curr_time +'.jpg'
         file_to_save = folder_to_save + filename
         cv2.imwrite(file_to_save,frame)
         print("File saved ", file_to_save)

ret, frame = cap.read()
while(True):
    # Capture frame-by-frame
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break
    captureImage()
    time.sleep(delay)

# When everything done, release the capture
cap.release()
cv2.destroyAllWindows()

作为参考，cap.set（）命令中的第一个参数指的是摄像头属性的枚举，如下所示：

0. CV_CAP_PROP_POS_MSEC Current position of the video file in milliseconds.
1. CV_CAP_PROP_POS_FRAMES 0-based index of the frame to be decoded/captured next.
2. CV_CAP_PROP_POS_AVI_RATIO Relative position of the video file
3. CV_CAP_PROP_FRAME_WIDTH Width of the frames in the video stream.
4. CV_CAP_PROP_FRAME_HEIGHT Height of the frames in the video stream.
5. CV_CAP_PROP_FPS Frame rate.

有什么办法可以补救吗？