我正在尝试从 IP 摄像机获取 python 视频流，但出现错误。我正在使用 Pycharm IDE。
import cv2
scheme = '192.168.100.23'
host = scheme
cap = cv2.VideoCapture('http://admin:Ebmacs8485867@'+host+':81/web/admin.html')
while True:
ret, frame = cap.read()
# Place options to overlay on the video here.
# I'll go over that later.
cv2.imshow('Camera', frame)
k = cv2.waitKey(0) & 0xFF
if k == 27: # esc key ends process
cap.release()
break
cv2.destroyAllWindows()
Error:
"E:\Digital Image Processing\python\ReadingAndDisplayingImages\venv\Scripts\python.exe" "E:/Digital Image Processing/python/ReadingAndDisplayingImages/ReadandDisplay.py"
Traceback (most recent call last):
File "E:/Digital Image Processing/python/ReadingAndDisplayingImages/ReadandDisplay.py", line 14, in <module>
cv2.imshow('Camera', frame)
cv2.error: OpenCV(4.0.1) C:\projects\opencv-python\opencv\modules\highgui\src\window.cpp:352: error: (-215:Assertion failed) size.width>0 && size.height>0 in function 'cv::imshow'
warning: Error opening file (/build/opencv/modules/videoio/src/cap_ffmpeg_impl.hpp:901)
warning: http://admin:[email protected]:81/web/admin.html (/build/opencv/modules/videoio/src/cap_ffmpeg_impl.hpp:902)
您很可能会因无效的流链接而收到该错误。将您的流链接插入 VLC 播放器以确认其正常工作。这是一个使用 OpenCV 的 IP 摄像机视频流小部件cv2.VideoCapture.read()。此实现使用线程来获取不同线程中的帧，因为read()是一个阻塞操作。通过将此操作放入仅专注于获取帧的单独操作中，可以通过减少 I/O 延迟来提高性能。我使用自己的 IP 摄像机 RTSP 流链接。改变stream_link到您自己的 IP 摄像机链接。
根据您的 IP 摄像机，您的 RTSP 流链接会有所不同，这是我的一个示例：
rtsp://username:[email protected]:554/cam/realmonitor?channel=1&subtype=0
rtsp://username:[email protected]/axis-media/media.amp
Code
from threading import Thread
import cv2
class VideoStreamWidget(object):
def __init__(self, src=0):
# Create a VideoCapture object
self.capture = cv2.VideoCapture(src)
# Start the thread to read frames from the video stream
self.thread = Thread(target=self.update, args=())
self.thread.daemon = True
self.thread.start()
def update(self):
# Read the next frame from the stream in a different thread
while True:
if self.capture.isOpened():
(self.status, self.frame) = self.capture.read()
def show_frame(self):
# Display frames in main program
if self.status:
self.frame = self.maintain_aspect_ratio_resize(self.frame, width=600)
cv2.imshow('IP Camera Video Streaming', self.frame)
# Press Q on keyboard to stop recording
key = cv2.waitKey(1)
if key == ord('q'):
self.capture.release()
cv2.destroyAllWindows()
exit(1)
# Resizes a image and maintains aspect ratio
def maintain_aspect_ratio_resize(self, image, width=None, height=None, inter=cv2.INTER_AREA):
# Grab the image size and initialize dimensions
dim = None
(h, w) = image.shape[:2]
# Return original image if no need to resize
if width is None and height is None:
return image
# We are resizing height if width is none
if width is None:
# Calculate the ratio of the height and construct the dimensions
r = height / float(h)
dim = (int(w * r), height)
# We are resizing width if height is none
else:
# Calculate the ratio of the 0idth and construct the dimensions
r = width / float(w)
dim = (width, int(h * r))
# Return the resized image
return cv2.resize(image, dim, interpolation=inter)
if __name__ == '__main__':
stream_link = 'your stream link!'
video_stream_widget = VideoStreamWidget(stream_link)
while True:
try:
video_stream_widget.show_frame()
except AttributeError:
pass
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