使用 OpenCV cv2.VideoCapture 在 Python 中从 IP 摄像机进行视频流传输

Video Streaming from IP Camera in Python Using OpenCV cv2.VideoCapture(使用 OpenCV cv2.VideoCapture 在 Python 中从 IP 摄像机进行视频流传输)
本文介绍了使用 OpenCV cv2.VideoCapture 在 Python 中从 IP 摄像机进行视频流传输的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着跟版网的小编来一起学习吧!

问题描述

我正在尝试从 IP 摄像机获取 Python 中的视频流,但出现错误.我正在使用 Pycharm IDE.

I am trying to get video stream in python from IP camera but i am getting an error. I am Using 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 ProcessingpythonReadingAndDisplayingImagesvenvScriptspython.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:projectsopencv-pythonopencvmoduleshighguisrcwindow.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:Ebmacs8485867@192.168.100.23:81/web/admin.html (/build/opencv/modules/videoio/src/cap_ffmpeg_impl.hpp:902)

推荐答案

由于流链接无效,您很可能会收到该错误.将您的流链接插入 VLC 播放器以确认它正在工作.这是一个使用 OpenCV 和 cv2.VideoCapture.read() 的 IP 摄像机视频流小部件.由于 read() 是一个阻塞操作,因此此实现使用线程来获取不同线程中的帧.通过将此操作放在仅专注于获取帧的单独操作中,它可以通过减少 I/O 延迟来提高性能.我使用了自己的 IP 摄像机 RTSP 流链接.将 stream_link 更改为您自己的 IP 摄像头链接.

You're most likely getting that error due to an invalid stream link. Insert your stream link into VLC player to confirm it is working. Here's a IP camera video streaming widget using OpenCV and cv2.VideoCapture.read(). This implementation uses threading for obtaining frames in a different thread since read() is a blocking operation. By putting this operation into a separate that that just focuses on obtaining frames, it improves performance by I/O latency reduction. I used my own IP camera RTSP stream link. Change stream_link to your own IP camera link.

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:

Depending on your IP camera, your RTSP stream link will vary, here's an example of mine:

rtsp://username:password@192.168.1.49:554/cam/realmonitor?channel=1&subtype=0
rtsp://username:password@192.168.1.45/axis-media/media.amp

代码

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

这篇关于使用 OpenCV cv2.VideoCapture 在 Python 中从 IP 摄像机进行视频流传输的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持跟版网!

本站部分内容来源互联网,如果有图片或者内容侵犯您的权益请联系我们删除!

相关文档推荐

Reading *.mhd/*.raw format in python(在 python 中读取 *.mhd/*.raw 格式)
Count number of cells in the image(计算图像中的单元格数)
How to detect paragraphs in a text document image for a non-consistent text structure in Python OpenCV(如何在 Python OpenCV 中检测文本文档图像中的段落是否存在不一致的文本结构)
How to get the coordinates of the bounding box in YOLO object detection?(YOLO物体检测中如何获取边界框的坐标?)
Divide an image into 5x5 blocks in python and compute histogram for each block(在 python 中将图像划分为 5x5 块并计算每个块的直方图)
Extract cow number from image(从图像中提取奶牛编号)