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python - 如何在 opencv 中显式访问 mjpeg 后端以进行视频捕获

转载 作者:行者123 更新时间:2023-12-02 16:08:23 32 4
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当我执行以下操作时:

availableBackends = [cv2.videoio_registry.getBackendName(b) for b in cv2.videoio_registry.getBackends()]
print(availableBackends)

我得到 ['FFMPEG', 'GSTREAMER', 'INTEL_MFX', 'V4L2', 'CV_IMAGES', 'CV_MJPEG']

如果我现在尝试:

print(cv2.CAP_FFMPEG)
print(cv2.CAP_GSTREAMER)
print(cv2.CAP_INTEL_MFX)
print(cv2.CAP_V4L2)
print(cv2.CAP_IMAGES)
print(cv2.CAP_MJPEG)

除了最后一个以外的所有工作:

AttributeError: module 'cv2.cv2' has no attribute 'CAP_MJPEG'

如何显式设置 cv2.CAP_MJPEG 后端(cv2.CAP_CV_MJPEG 也不起作用)?

最佳答案

可以看到所有标志here .

看起来 cv2.CAP_OPENCV_MJPEG 就是您要查找的内容。


以下测试创建 MJPEG 合成 AVI 视频文件,并使用 cv2.CAP_OPENCV_MJPEG 后端读取视频:

import numpy as np
import cv2

#availableBackends = [cv2.videoio_registry.getBackendName(b) for b in cv2.videoio_registry.getBackends()]
#print(availableBackends)

print('cv2.CAP_OPENCV_MJPEG = ' + str(cv2.CAP_OPENCV_MJPEG))


intput_filename = 'vid.avi'

# Generate synthetic video files to be used as input:
###############################################################################
width, height, n_frames = 640, 480, 100 # 100 frames, resolution 640x480

# Use motion JPEG codec (for testing)
synthetic_out = cv2.VideoWriter(intput_filename, cv2.VideoWriter_fourcc(*'MJPG'), 25, (width, height))

for i in range(n_frames):
img = np.full((height, width, 3), 60, np.uint8)
cv2.putText(img, str(i+1), (width//2-100*len(str(i+1)), height//2+100), cv2.FONT_HERSHEY_DUPLEX, 10, (30, 255, 30), 20) # Green number
synthetic_out.write(img)

synthetic_out.release()
###############################################################################


# Read the video using CV_MJPEG backend
###############################################################################
cap = cv2.VideoCapture(intput_filename, cv2.CAP_OPENCV_MJPEG)

# Keep iterating break
while True:
ret, frame = cap.read() # Read frame from first video

if ret:
cv2.imshow('frame', frame) # Display frame for testing
cv2.waitKey(100) #Wait 100msec (for debugging)
else:
break

cap.release() #Release must be inside the outer loop
###############################################################################

关于python - 如何在 opencv 中显式访问 mjpeg 后端以进行视频捕获,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/61202978/

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