我正在尝试在OSX下为OpenCV的python包装器创建一个视频。我正在使用python 2.7.1,opencv 2.3.1a,以及来自该版本opencv的willowgarage的python包装器。我有:
import cv,cv2
w = cv2.VideoWriter('foo.avi', cv.FOURCC('M','J','P','G'), 25, (100,100))
for i in range(100):
w.write(np.ones((100,100,3), np.uint8))
OpenCV说
WARNING: Could not create empty movie file container.
Didn't successfully update movie file.
... [ 100 repetitions]
我不确定接下来要尝试什么
答案 0 :(得分:48)
关于这个主题,有许多过时且不正确的在线指南 - 我想我几乎每个人都尝试过。在Mac OSX上查看基于源代码QTKit的VideoWriter实现后,我终于能够使用以下代码让VideoWriter输出有效的视频文件:
fps = 15
capSize = (1028,720) # this is the size of my source video
fourcc = cv2.cv.CV_FOURCC('m', 'p', '4', 'v') # note the lower case
self.vout = cv2.VideoWriter()
success = self.vout.open('output.mov',fourcc,fps,capSize,True)
要编写图像框(请注意,imgFrame必须与上面的capSize大小相同,否则更新将失败):
self.vout.write(imgFrame)
完成后请务必:
vout.release()
self.vout = None
这适用于Mac OS X 10.8.5(Mountain Lion):不保证其他平台。我希望这个片段可以节省其他时间的实验!
答案 1 :(得分:3)
我正在使用macOS High Sierra 10.13.4,Python 3.6.5,OpenCV 3.4.1。
以下代码(源:https://www.learnopencv.com/read-write-and-display-a-video-using-opencv-cpp-python/)打开相机,按“ q”键成功关闭窗口,并将视频保存为.avi格式。
请注意,您需要将其作为.py文件运行。如果您在Jupyter Notebook中运行它,则关闭时该窗口将挂起,您需要强制退出Python以关闭该窗口。
import cv2
import numpy as np
# Create a VideoCapture object
cap = cv2.VideoCapture(0)
# Check if camera opened successfully
if (cap.isOpened() == False):
print("Unable to read camera feed")
# Default resolutions of the frame are obtained.The default resolutions are system dependent.
# We convert the resolutions from float to integer.
frame_width = int(cap.get(3))
frame_height = int(cap.get(4))
# Define the codec and create VideoWriter object.The output is stored in 'outpy.avi' file.
out = cv2.VideoWriter('outpy.avi',cv2.VideoWriter_fourcc('M','J','P','G'), 10, (frame_width,frame_height))
while(True):
ret, frame = cap.read()
if ret == True:
# Write the frame into the file 'output.avi'
out.write(frame)
# Display the resulting frame
cv2.imshow('frame',frame)
# Press Q on keyboard to stop recording
if cv2.waitKey(1) & 0xFF == ord('q'):
break
# Break the loop
else:
break
# When everything done, release the video capture and video write objects
cap.release()
out.release()
# Closes all the frames
cv2.destroyAllWindows()
答案 2 :(得分:2)
在尝试了各种选项后,我发现我使用的frame.size不符合VideoWriter中指定的大小:因此将其设置为myMac 1280x720的默认设置使得一切正常工作!
import numpy as np
import cv2
cap = cv2.VideoCapture(0)
# Define the codec and create VideoWriter object
fourcc = cv2.VideoWriter_fourcc('m', 'p', '4', 'v')
out = cv2.VideoWriter()
succes = out.open('output.mp4v',fourcc, 15.0, (1280,720),True)
while(cap.isOpened()):
ret, frame = cap.read()
if ret==True:
frame = cv2.flip(frame,0)
# write the flipped frame
out.write(frame)
cv2.imshow('frame',frame)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
else:
break
# Release everything if job is finished
cap.release()
out.release()
cv2.destroyAllWindows()
答案 3 :(得分:2)
这是“大小”问题。
import cv2
import time
filename = time.strftime("%m-%d-%H-%M-%S") + '.avi'
fps = 16
cap = cv2.VideoCapture(0)
#in this way it always works, because your get the right "size"
size = (int(cap.get(cv2.cv.CV_CAP_PROP_FRAME_WIDTH)),
int(cap.get(cv2.cv.CV_CAP_PROP_FRAME_HEIGHT)))
fourcc = cv2.cv.FOURCC('8', 'B', 'P', 'S') #works, large
out = cv2.VideoWriter(filename, fourcc, fps, size, True)
#in this way, you must set the "size" to your size,
#because you don't know the default "size" is right or not
#cap.set(3, 640)
#cap.set(4, 480)
#out = cv2.VideoWriter(filename, fourcc, fps, (640, 480), True)
while(cap.isOpened()):
ret, frame = cap.read()
if ret == True:
out.write(frame)
cv2.imshow('frame', frame)
if cv2.waitKey(1) & 0xFF == ord('q'):
break;
else:
print 'Error...'
break;
cap.release()
out.release()
cv2.destroyAllWindows()
答案 4 :(得分:1)
这不是个好主意
您必须创建VideoWriter
结构并使用方法WriteFrame
:
import cv
cv.NamedWindow('cap', 1)
w = cv.CreateVideoWriter('test.avi',cv.CV_FOURCC('X','V','I','D'),25,(640,480))
cap = cv.CaptureFromCAM(0)
while(1):
img = cv.QueryFrame(cap)
cv.ShowImage('cap', img)
cv.WriteFrame(w, img)
if cv.WaitKey(1) == 27:
break
cv.DestroyWindow('cap')
答案 5 :(得分:1)
您的ffmpeg版本可能已过期。我遇到了与ffmpeg 0.8类似的问题,在我升级到ffmpeg 0.11之后它运行良好。
答案 6 :(得分:1)
这是@ ToddStellanova的答案的变体,对我有用:
def write_video(image_dir):
'''
Writes a video from a set of images in `image_dir`
'''
target = join('data/labelled-videos',
basename(image_dir) + '.mp4v')
codec = cv2.cv.CV_FOURCC('m', 'p', '4', 'v')
size = (256, 256)
v = cv2.VideoWriter(target, codec, 16, size)
for image_name in listdir(image_dir):
image_filename = join(image_dir, image_name)
arr = np.asarray(Image.open(image_filename))
assert arr.shape[:2] == size
v.write(arr)
答案 7 :(得分:1)
这是一个适用于以下版本的版本:
使用brew install opencv
安装。
#!/usr/bin/env python3
import cv2
def main():
vc = cv2.VideoCapture()
if not vc.open('input.mp4'):
print('failed to open video capture')
return
fourcc = cv2.VideoWriter_fourcc(*'mp4v')
# Match source video features.
fps = vc.get(cv2.CAP_PROP_FPS)
size = (
int(vc.get(cv2.CAP_PROP_FRAME_WIDTH)),
int(vc.get(cv2.CAP_PROP_FRAME_HEIGHT)),
)
vw = cv2.VideoWriter()
if not vw.open('output.mp4', fourcc, fps, size):
print('failed to open video writer')
return
while True:
ok, frame = vc.read()
if not ok:
break
# Flip upside down.
frame = cv2.flip(frame, 0)
# Write processed frame.
vw.write(frame)
cv2.imshow('frame', frame)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
vc.release()
vw.release()
cv2.destroyAllWindows()
if __name__ == "__main__":
main()
答案 8 :(得分:0)
感谢@TeddStellanova
这里是XCode C ++版本:
int fWidth = capture.get(CV_CAP_PROP_FRAME_WIDTH);
int fHeight = capture.get(CV_CAP_PROP_FRAME_HEIGHT);
string vid_path = path + "frames.mov";
VideoWriter vid(vid_path,CV_FOURCC('m','p','4','v'),30,Size(fWidth,fHeight),true);
答案 9 :(得分:0)
我的问题是 frame_width 和 frame_height 。请尝试以下操作:
import cv2
cap = cv2.VideoCapture(0)
# Define the codec and create VideoWriter object
fourcc = cv2.VideoWriter_fourcc(*'MJPG')
frame_width = int(cap.get(3))
frame_height = int(cap.get(4))
size = (frame_width, frame_height)
fps = 10
out = cv2.VideoWriter("output.avi", fourcc, fps, size)
while(cap.isOpened()):
ret, frame = cap.read()
if ret:
out.write(frame) # write the frame
cv2.imshow('frame', frame)
else:
break
if cv2.waitKey(1) == 27: # Esc
break
# Release everything if job is finished
cap.release()
out.release()
cv2.destroyAllWindows()