Video 使用opencv从视频中提取灰度图像
我试图从视频中提取图像(帧),并将其保存在特定位置。我已经编写了以下代码,它可以很好地用于提取彩色图像Video 使用opencv从视频中提取灰度图像,video,grayscale,opencv-python,Video,Grayscale,Opencv Python,我试图从视频中提取图像(帧),并将其保存在特定位置。我已经编写了以下代码,它可以很好地用于提取彩色图像 extractFrames(srcPath,dstPathColor) 但是,当我想要提取灰度图像时(extractFrames(srcPath,dstPathColor,gray=True),只有一个图像被写入目标文件夹,代码停止 import numpy as np import cv2 print('OpenCV version: '+cv2.__version__) import ma
extractFrames(srcPath,dstPathColor)
但是,当我想要提取灰度图像时(extractFrames(srcPath,dstPathColor,gray=True
),只有一个图像被写入目标文件夹,代码停止
import numpy as np
import cv2
print('OpenCV version: '+cv2.__version__)
import matplotlib as plt
def extractFrames(srcPath,dstPath,gray=False):
# gray = true writes only grayscale images of the video
cap = cv2.VideoCapture(srcPath)
# check if camera opened successfully
if (cap.isOpened() == False):
print("Error reading video file")
try:
frameCount = 1
while(cap.isOpened()):
ret, frame = cap.read()
if ret == True:
if gray==True:
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
cv2.imwrite(dstPath+'grayframe'+str(frameCount)+'.jpg',gray)
else:
cv2.imwrite(dstPath+'colorframe'+str(frameCount)+'.jpg',frame)
frameCount += 1
if cv2.waitKey(1) & 0xFF == ord('q'):
break
# if frame is read correctly, ret is True
else:
print("Can't retrieve frame - stream may have ended. Exiting..")
break
except:
print("Video has ended.")
cap.release()
cv2.destroyAllWindows()
vidName = 'scale_calib2.avi'
srcPath = vidName;
dstPathColor = 'Extracted Images\\Color\\'
dstPathGray = 'Extracted Images\\Gray\\'
#extractFrames(srcPath,dstPathColor)
#print('Finished extracting color images from video')
extractFrames(srcPath,dstPathGray,gray=True)
print('Finished extracting gray images from video')
输出:
Video has ended.
Finished extracting gray images from video
如何修复此问题?最终发现问题在于命名错误。我对灰度图像的图像容器和函数
extractFrames
中的布尔参数使用了gray