繁体   English   中英

如何使用 OpenCV 捕获多个摄像机流?

[英]How to capture multiple camera streams with OpenCV?

我必须拼接从许多 (9) 台相机捕获的图像。 最初,我尝试以 15 FPS 的速率从 2 个摄像机捕获帧。 然后,我连接了 4 个摄像头(我还使用了外部供电的 USB 集线器来提供足够的电力)但我只能看到一个 stream。

为了测试,我使用了以下脚本:

import numpy as np
import cv2
import imutils

index = 0
arr = []
while True:
    cap = cv2.VideoCapture(index)

    if not cap.read()[0]:
        break
    else:
        arr.append(index)
    cap.release()
    index += 1

video_captures = [cv2.VideoCapture(idx) for idx in arr]

while True:
    # Capture frame-by-frame
    frames = []
    frames_preview = []

    for i in arr:
        # skip webcam capture
        if i == 1: continue
        ret, frame = video_captures[i].read()
        if ret:
            frames.append(frame)
            small = cv2.resize(frame, (0, 0), fx=0.25, fy=0.25)
            frames_preview.append(small)

    for i, frame in enumerate(frames_preview):
        cv2.imshow('Cam {}'.format(i), frame)


    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

# When everything is done, release the capture
for video_capture in video_captures:
    video_capture.release()
cv2.destroyAllWindows()

摄像头数量有限制吗? 有谁知道从多个摄像机捕获帧的正确方法是什么?

在此处输入图像描述

要使用 OpenCV 捕获多个流,我建议使用线程,它可以通过将繁重的 I/O 操作减轻到单独的线程来提高性能。 由于使用cv2.VideoCapture().read()访问网络摄像头/IP/RTSP stream 是一个阻塞操作,因此我们的主程序一直卡住,直到从摄像头设备读取帧为止。 如果你有多个流,这个延迟肯定是可见的。 为了解决这个问题,我们可以使用线程生成另一个线程来处理使用双端队列并行检索帧,而不是依赖单个线程按顺序获取帧。 线程允许在不影响主程序性能的情况下连续读取帧。 The idea to capture a single stream using threading and OpenCV, is from a previous answer in Python OpenCV multithreading streaming from camera .

但是如果你想捕获多个流,仅 OpenCV 是不够的。 您可以将 OpenCV 与 GUI 框架结合使用,将每个图像拼接到一个漂亮的显示器上。 我将使用PyQt4作为框架,使用qdarkstyle作为 GUI CSS,使用 imutils作为 OpenCV 便利功能。


这是我目前使用的相机 GUI 的一个非常精简的版本,没有占位符图像、凭据管理登录页面和相机切换功能。 我保留了自动相机重新连接功能,以防互联网中断或相机连接丢失。 如上图所示,我只有 8 个摄像头,但添加另一个摄像头非常简单,不会影响性能。 此相机 GUI 目前以大约~60 FPS 的速度执行,因此它是实时的。 您可以使用 PyQt 布局轻松重新排列布局,因此请随时修改代码! 记得更改 stream 链接!

from PyQt4 import QtCore, QtGui
import qdarkstyle
from threading import Thread
from collections import deque
from datetime import datetime
import time
import sys
import cv2
import imutils

class CameraWidget(QtGui.QWidget):
    """Independent camera feed
    Uses threading to grab IP camera frames in the background

    @param width - Width of the video frame
    @param height - Height of the video frame
    @param stream_link - IP/RTSP/Webcam link
    @param aspect_ratio - Whether to maintain frame aspect ratio or force into fraame
    """

    def __init__(self, width, height, stream_link=0, aspect_ratio=False, parent=None, deque_size=1):
        super(CameraWidget, self).__init__(parent)
        
        # Initialize deque used to store frames read from the stream
        self.deque = deque(maxlen=deque_size)

        # Slight offset is needed since PyQt layouts have a built in padding
        # So add offset to counter the padding 
        self.offset = 16
        self.screen_width = width - self.offset
        self.screen_height = height - self.offset
        self.maintain_aspect_ratio = aspect_ratio

        self.camera_stream_link = stream_link

        # Flag to check if camera is valid/working
        self.online = False
        self.capture = None
        self.video_frame = QtGui.QLabel()

        self.load_network_stream()
        
        # Start background frame grabbing
        self.get_frame_thread = Thread(target=self.get_frame, args=())
        self.get_frame_thread.daemon = True
        self.get_frame_thread.start()

        # Periodically set video frame to display
        self.timer = QtCore.QTimer()
        self.timer.timeout.connect(self.set_frame)
        self.timer.start(.5)

        print('Started camera: {}'.format(self.camera_stream_link))

    def load_network_stream(self):
        """Verifies stream link and open new stream if valid"""

        def load_network_stream_thread():
            if self.verify_network_stream(self.camera_stream_link):
                self.capture = cv2.VideoCapture(self.camera_stream_link)
                self.online = True
        self.load_stream_thread = Thread(target=load_network_stream_thread, args=())
        self.load_stream_thread.daemon = True
        self.load_stream_thread.start()

    def verify_network_stream(self, link):
        """Attempts to receive a frame from given link"""

        cap = cv2.VideoCapture(link)
        if not cap.isOpened():
            return False
        cap.release()
        return True

    def get_frame(self):
        """Reads frame, resizes, and converts image to pixmap"""

        while True:
            try:
                if self.capture.isOpened() and self.online:
                    # Read next frame from stream and insert into deque
                    status, frame = self.capture.read()
                    if status:
                        self.deque.append(frame)
                    else:
                        self.capture.release()
                        self.online = False
                else:
                    # Attempt to reconnect
                    print('attempting to reconnect', self.camera_stream_link)
                    self.load_network_stream()
                    self.spin(2)
                self.spin(.001)
            except AttributeError:
                pass

    def spin(self, seconds):
        """Pause for set amount of seconds, replaces time.sleep so program doesnt stall"""

        time_end = time.time() + seconds
        while time.time() < time_end:
            QtGui.QApplication.processEvents()

    def set_frame(self):
        """Sets pixmap image to video frame"""

        if not self.online:
            self.spin(1)
            return

        if self.deque and self.online:
            # Grab latest frame
            frame = self.deque[-1]

            # Keep frame aspect ratio
            if self.maintain_aspect_ratio:
                self.frame = imutils.resize(frame, width=self.screen_width)
            # Force resize
            else:
                self.frame = cv2.resize(frame, (self.screen_width, self.screen_height))

            # Add timestamp to cameras
            cv2.rectangle(self.frame, (self.screen_width-190,0), (self.screen_width,50), color=(0,0,0), thickness=-1)
            cv2.putText(self.frame, datetime.now().strftime('%H:%M:%S'), (self.screen_width-185,37), cv2.FONT_HERSHEY_SIMPLEX, 1.2, (255,255,255), lineType=cv2.LINE_AA)

            # Convert to pixmap and set to video frame
            self.img = QtGui.QImage(self.frame, self.frame.shape[1], self.frame.shape[0], QtGui.QImage.Format_RGB888).rgbSwapped()
            self.pix = QtGui.QPixmap.fromImage(self.img)
            self.video_frame.setPixmap(self.pix)

    def get_video_frame(self):
        return self.video_frame
    
def exit_application():
    """Exit program event handler"""

    sys.exit(1)

if __name__ == '__main__':

    # Create main application window
    app = QtGui.QApplication([])
    app.setStyleSheet(qdarkstyle.load_stylesheet_pyqt())
    app.setStyle(QtGui.QStyleFactory.create("Cleanlooks"))
    mw = QtGui.QMainWindow()
    mw.setWindowTitle('Camera GUI')
    mw.setWindowFlags(QtCore.Qt.FramelessWindowHint)

    cw = QtGui.QWidget()
    ml = QtGui.QGridLayout()
    cw.setLayout(ml)
    mw.setCentralWidget(cw)
    mw.showMaximized()
    
    # Dynamically determine screen width/height
    screen_width = QtGui.QApplication.desktop().screenGeometry().width()
    screen_height = QtGui.QApplication.desktop().screenGeometry().height()
    
    # Create Camera Widgets 
    username = 'Your camera username!'
    password = 'Your camera password!'
    
    # Stream links
    camera0 = 'rtsp://{}:{}@192.168.1.43:554/cam/realmonitor?channel=1&subtype=0'.format(username, password)
    camera1 = 'rtsp://{}:{}@192.168.1.45/axis-media/media.amp'.format(username, password)
    camera2 = 'rtsp://{}:{}@192.168.1.47:554/cam/realmonitor?channel=1&subtype=0'.format(username, password)
    camera3 = 'rtsp://{}:{}@192.168.1.40:554/cam/realmonitor?channel=1&subtype=0'.format(username, password)
    camera4 = 'rtsp://{}:{}@192.168.1.44:554/cam/realmonitor?channel=1&subtype=0'.format(username, password)
    camera5 = 'rtsp://{}:{}@192.168.1.42:554/cam/realmonitor?channel=1&subtype=0'.format(username, password)
    camera6 = 'rtsp://{}:{}@192.168.1.46:554/cam/realmonitor?channel=1&subtype=0'.format(username, password)
    camera7 = 'rtsp://{}:{}@192.168.1.41:554/cam/realmonitor?channel=1&subtype=0'.format(username, password)
    
    # Create camera widgets
    print('Creating Camera Widgets...')
    zero = CameraWidget(screen_width//3, screen_height//3, camera0)
    one = CameraWidget(screen_width//3, screen_height//3, camera1)
    two = CameraWidget(screen_width//3, screen_height//3, camera2)
    three = CameraWidget(screen_width//3, screen_height//3, camera3)
    four = CameraWidget(screen_width//3, screen_height//3, camera4)
    five = CameraWidget(screen_width//3, screen_height//3, camera5)
    six = CameraWidget(screen_width//3, screen_height//3, camera6)
    seven = CameraWidget(screen_width//3, screen_height//3, camera7)
    
    # Add widgets to layout
    print('Adding widgets to layout...')
    ml.addWidget(zero.get_video_frame(),0,0,1,1)
    ml.addWidget(one.get_video_frame(),0,1,1,1)
    ml.addWidget(two.get_video_frame(),0,2,1,1)
    ml.addWidget(three.get_video_frame(),1,0,1,1)
    ml.addWidget(four.get_video_frame(),1,1,1,1)
    ml.addWidget(five.get_video_frame(),1,2,1,1)
    ml.addWidget(six.get_video_frame(),2,0,1,1)
    ml.addWidget(seven.get_video_frame(),2,1,1,1)

    print('Verifying camera credentials...')

    mw.show()

    QtGui.QShortcut(QtGui.QKeySequence('Ctrl+Q'), mw, exit_application)

    if(sys.flags.interactive != 1) or not hasattr(QtCore, 'PYQT_VERSION'):
        QtGui.QApplication.instance().exec_()

相关摄像头/IP/RTSP、FPS、视频、线程和多处理帖子

  1. Python OpenCV 从相机流式传输 - 多线程,时间戳

  2. 使用 OpenCV cv2.VideoCapture 从 Python 中的 IP 摄像头流式传输视频

  3. 如何使用 OpenCV 捕获多个摄像机流?

  4. OpenCV 实时流视频捕获速度很慢。 如何丢帧或实时同步?

  5. 使用 OpenCV VideoWriter 将 RTSP stream 存储为视频文件

  6. OpenCV 视频保存

  7. Python OpenCV 多处理 cv2.VideoCapture mp4

暂无
暂无

声明:本站的技术帖子网页,遵循CC BY-SA 4.0协议,如果您需要转载,请注明本站网址或者原文地址。任何问题请咨询:yoyou2525@163.com.

 
粤ICP备18138465号  © 2020-2024 STACKOOM.COM