Using OPENCV and two standard USB cameras, I was able to do this using multithreading. Essentially, define one function which opens an opencv window and VideoCapture element. Then, create two threads with the camera ID and window name as inputs.

import cv2
import threading

class camThread(threading.Thread):
    def __init__(self, previewName, camID):
        threading.Thread.__init__(self)
        self.previewName = previewName
        self.camID = camID
    def run(self):
        print "Starting " + self.previewName
        camPreview(self.previewName, self.camID)

def camPreview(previewName, camID):
    cv2.namedWindow(previewName)
    cam = cv2.VideoCapture(camID)
    if cam.isOpened():  # try to get the first frame
        rval, frame = cam.read()
    else:
        rval = False

    while rval:
        cv2.imshow(previewName, frame)
        rval, frame = cam.read()
        key = cv2.waitKey(20)
        if key == 27:  # exit on ESC
            break
    cv2.destroyWindow(previewName)

# Create two threads as follows
thread1 = camThread("Camera 1", 1)
thread2 = camThread("Camera 2", 2)
thread1.start()
thread2.start()

Great resource for learning how to thread in python: https://www.tutorialspoint.com/python/python_multithreading.htm

Answer from TheoreticallyNick on Stack Overflow
Top answer
1 of 11
16

Using OPENCV and two standard USB cameras, I was able to do this using multithreading. Essentially, define one function which opens an opencv window and VideoCapture element. Then, create two threads with the camera ID and window name as inputs.

import cv2
import threading

class camThread(threading.Thread):
    def __init__(self, previewName, camID):
        threading.Thread.__init__(self)
        self.previewName = previewName
        self.camID = camID
    def run(self):
        print "Starting " + self.previewName
        camPreview(self.previewName, self.camID)

def camPreview(previewName, camID):
    cv2.namedWindow(previewName)
    cam = cv2.VideoCapture(camID)
    if cam.isOpened():  # try to get the first frame
        rval, frame = cam.read()
    else:
        rval = False

    while rval:
        cv2.imshow(previewName, frame)
        rval, frame = cam.read()
        key = cv2.waitKey(20)
        if key == 27:  # exit on ESC
            break
    cv2.destroyWindow(previewName)

# Create two threads as follows
thread1 = camThread("Camera 1", 1)
thread2 = camThread("Camera 2", 2)
thread1.start()
thread2.start()

Great resource for learning how to thread in python: https://www.tutorialspoint.com/python/python_multithreading.htm

2 of 11
14

Yes you're definitely limited by the USB bandwidth. Attempting to read from both devices at full-rez you probably got error:

libv4l2: error turning on stream: No space left on device
VIDIOC_STREAMON: No space left on device
Traceback (most recent call last):
  File "p.py", line 7, in <module>
    assert ret1 # fails?!
AssertionError

And then when you reduce the res to 160x120:

import cv2
cap0 = cv2.VideoCapture(0)
cap0.set(3,160)
cap0.set(4,120)
cap1 = cv2.VideoCapture(1)
cap1.set(3,160)
cap1.set(4,120)
ret0, frame0 = cap0.read()
assert ret0 # succeeds
ret1, frame1 = cap1.read()
assert ret1 # fails?!

now it seems to work! I bet you have both cams connected on the same USB card. You can run lsusb command to make sure, and it should indicate something like:

Bus 001 Device 006: ID 046d:081b Logitech, Inc. Webcam C310
Bus 001 Device 004: ID 0409:005a NEC Corp. HighSpeed Hub
Bus 001 Device 007: ID 046d:0990 Logitech, Inc. QuickCam Pro 9000
Bus 001 Device 005: ID 0409:005a NEC Corp. HighSpeed Hub
Bus 001 Device 003: ID 0409:005a NEC Corp. HighSpeed Hub
Bus 001 Device 002: ID 1058:0401 Western Digital Technologies, Inc. 
Bus 001 Device 001: ID 1d6b:0002 Linux Foundation 2.0 root hub
Bus 003 Device 001: ID 1d6b:0001 Linux Foundation 1.1 root hub
Bus 002 Device 001: ID 1d6b:0001 Linux Foundation 1.1 root hub

(Note both cameras on same bus.) If possible, you can add another USB card to your machine to gain more bandwidth. I've done this before in order to run multiple cams at full resolution on a single machine. Albeit that was a tower workstation with available motherboard slots, and unfortunately you may not have that option on a MacBook laptop.

🌐
OpenCV
forum.opencv.org › python
Viewing multiple USB or IP cameras simultaneously with OpenCV - Python - OpenCV
July 7, 2021 - I am looking for some guidance and/or sample Python code on running multiple USB or IP cameras simultaneously with OpenCV. My application will use either 4 cameras connected to a PC via a USB hub and/or 4 IP cameras o t…
Discussions

[Question] Opening many cameras at once
Last time I looked at something similar it boiled down to 'this device can use USB bandwidth x, so allocate that much to it when it is connected'. I think I was able to do 3 on one USB controller. So there want a way around it besides adding more USB controllers (not ports!). You could try a pcie board with 4 USB controllers and a 3+ port hub to each controller getting you to 12 for the cameras in your picture. Edit: Here is an article describing the problem: https://www.any-maze.com/support/guides/connecting-multiple-usb-cameras-to-a-computer/ . They also mention that the camera is likely USB2 so it will kick the controller into USB2 mode when it is connected limiting the bandwidth of the controller. This means just using USB 3.2gen2 won't solve your problem. You could also try something like https://www.provantage.com/startech-tb33a1c~7STRP0JY.htm which has an independent controller for each USB port. More on reddit.com
🌐 r/opencv
18
1
December 23, 2022
Grabbing with multiple cameras and opencv
Hello! I am having troubles modifying the capture multiple cameras example to do the following: setting each camera to have the following grab strategy: cam.StartGrabbing(pylon.GrabStrategy_LatestI... More on github.com
🌐 github.com
6
January 19, 2021
Unable to take pictures with multiple cameras - Python - OpenCV
Hi, I’m really new to OpenCV, Python, and programming in general. I have two USB cameras plugged into a Raspberry Pi 3.0 B+, and I’m trying to get images from both. I’ve been looking around at tutorials, but it doesn’t seem to work for me. Below is the code that I am running. More on forum.opencv.org
🌐 forum.opencv.org
0
July 5, 2022
pi 3b+ - reading two webcams in opencv - Raspberry Pi Stack Exchange
If I run this code on a PC with two webcams attached it runs fast (or fast enough) without any issues: import cv2 cap0 = cv2.VideoCapture(0) cap1 = cv2.VideoCapture(1) while True: ret0, img0 ... More on raspberrypi.stackexchange.com
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OpenCV Q&A Forum
answers.opencv.org › question › 229866 › how-to-capture-multi-camera-with-opencv-multi-threading-python
How to capture Multi camera with Opencv Multi threading (python) [closed] - OpenCV Q&A Forum
May 5, 2020 - if i run it as two different python program targeting each rtsp stream, i have no issue. Again not practical for more cameras. But the objective was to run multiple ipcamera from one single program. Any help to highlight the mistake i made would be highly appreciated. import cv2 import os import time import threading os.environ["OPENCV_FFMPEG_CAPTURE_OPTIONS"] = "rtsp_transport;udp" rtsp1 = 'rtsp://userid:[email protected]:8080/h264_ulaw.sdp' rtsp='rtsp://userid:[email protected]:10554/udp/av0_0' def getPicture(url): cam = cv2.VideoCapture(url) a=cam.get(cv2.CAP_PROP_BUFFERSIZE) cam.set(cv2.CA
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Reddit
reddit.com › r/opencv › [question] opening many cameras at once
r/opencv on Reddit: [Question] Opening many cameras at once
December 23, 2022 -

THE PROBLEM

Hello all. I am using opencv in Python to capture still images from many cameras at once. Unfortunately I have found that the cheap 2MP USB cameras that I am using allocate an amount of bandwidth from the USB controller that assumes I'll be operating them at 30fps, which means that I can only open 1 or 2 at a time. The frame rate appears to be not controllable with these cameras from within opencv, nor from v4l in the linux command line where a frame rate property is not listed when I run $v4l2-ctl -d 0 --list-ctrls. Otherwise I was hoping I could simply set frame rate to 0fps, allowing me to open as many cameras as I want and capture from them as needed (assuming that's how it works). However it appears that I cannot open all of the cameras at the same time, which is unfortunate because opencv VideoCapture objects apparently have this handy grab-retrive paradigm that I can't make use of. Instead what I am doing is opening each camera, reading image, then closing... It takes a long time and is totally unnecessary from a hardware point of view, since I only want to grab single frames from each camera. From the USB controller's perspective, I don't have enough bandwidth.

Now I have bought a 5MP camera that I thought might have more options. Indeed it appears I can capture 2MP images from this camera at 6fps, so it seems I would be able to open more cameras at a time in Python. I'll have to buy a few more and try.

v4l from within Python?

Not really related to opencv I guess, but in v4l I noticed there are lots of commands that I haven't explored yet, and I can run them from within my Python script. Might there be a way to open a camera at 0fps, or is this something that will ultimately be prohibited by the hardware of the camera no matter which way I try to go about it?

Better camera?

What am I doing wrong? How is this typically done? Should I explore different connection methods (firewire, USB3, etc)? Is there a special type of camera that is made for such applications that require grabbing single HD frame at low rate?

Thank you for any advice or insight that you can provide!

🌐
Medium
medium.com › @elvenkim1 › how-to-use-multiple-cameras-with-opencv-71fcac2d4af8
How to use multiple cameras with OpenCV | by Elven Kim | Medium
May 10, 2023 - Like a normal sensor, it is important to duplicate the vision feedback so we have a backup in case the camera fails. So how do we have multiple cameras on our laptop, using OpenCV? Open a new project in Pycharm and set the environment to the Python installation
🌐
Codesofinterest
codesofinterest.com › 2018 › 09 › using-multiple-cameras-with-opencv.html
Codes of Interest | Deep Learning Made Fun: Using Multiple Cameras with OpenCV
September 1, 2018 - As you know, OpenCV is capable of reading from any connected camera in your system, whether it's a built-in webcam (in a laptop) or a USB connected one.
Find elsewhere
🌐
PyImageSearch
pyimagesearch.com › home › blog › multiple cameras with the raspberry pi and opencv
Multiple cameras with the Raspberry Pi and OpenCV - PyImageSearch
April 17, 2021 - We can interface with the camera using the picamera Python package or (preferably) the threaded VideoStream class defined in a previous blog post. A Logitech C920 webcam that is plug-and-play compatible with the Raspberry Pi. We can access this camera using either the cv2.VideoCapture function built-in to OpenCV or the VideoStream class from this lesson. ... Figure 1: My multiple camera Raspberry Pi setup.
🌐
GitHub
github.com › basler › pypylon › issues › 319
Grabbing with multiple cameras and opencv · Issue #319 · basler/pypylon
January 19, 2021 - when i attach a 3rd camera and use the multi grab, the 3rd one comes out as an emulation device. is that because the USB3 bus is fully loaded? ... import os os.environ["PYLON_CAMEMU"] = "3" from pypylon import genicam from pypylon import pylon import sys import cv2 converter = pylon.ImageFormatConverter() # converting to opencv bgr format converter.OutputPixelFormat = pylon.PixelType_BGR8packed converter.OutputBitAlignment = pylon.OutputBitAlignment_MsbAligned maxCamerasToUse = 2 # The exit code of the sample application.
Author: basler
🌐
YouTube
youtube.com › watch
Using Multiple Cameras with OpenCV - YouTube
Buy NVIDIA RTX 2070 Graphics Cards with TensorCores for Deep Learning:EVGA GeForce RTX 2070 XC Gaming - https://amzn.to/2Mf89yaASUS GeForce RTX 2070 Overcloc...
Published: September 1, 2018
🌐
OpenCV
forum.opencv.org › python
Unable to take pictures with multiple cameras - Python - OpenCV
July 5, 2022 - Hi, I’m really new to OpenCV, Python, and programming in general. I have two USB cameras plugged into a Raspberry Pi 3.0 B+, and I’m trying to get images from both. I’ve been looking around at tutorials, but it doesn’t seem to work for me. Below is the code that I am running.
🌐
YouTube
youtube.com › sylvestre apetcho
How to display multiple cameras in the same Windows using opencv python? - YouTube
Comment afficher plusieurs caméras dans la même fenêtre en utilisant Opencv python ?How to display multiple cameras with Opencv python in the same windows?Co...
Published: December 29, 2022
Views: 1K
🌐
Ejtech
ejtech.io › learn › multiple-usb-cameras-opencv
Run Multiple USB Cameras with OpenCV and Python - EJ Technology Consultants
March 2, 2025 - Now that we’ve got the hardware figured out, let’s go over a code example that shows how to run all the cameras. I wrote a basic program example, multi_usb_cam.py, that shows how to run and display frames from multiple USB cameras with OpenCV and Python. It also uses OpenCV to apply a black-and-white threshold to the frames if specified by the user.
🌐
Reddit
reddit.com › r/learnpython › [opencv] grab images from several cameras in sequence.
r/learnpython on Reddit: [OpenCV] Grab images from several cameras in sequence.
April 1, 2017 -

I have 20 IP cameras (rtsp://192.168.1.101:554/12 - rtsp://192.168.1.120:554/12) and I need to be able to grab images from all 20 cameras at the same time (or as fast as possible). I imagine I need to start the cv2.VideoCapture for easy rtsp feed first, but then how should I go about capturing an image (cv2.imwrite(dest,im) for each the fastest.

I know I am supposed to use grab and retrieve (I think), but I can't seem to find the right syntax.

Can I load multiple VideoCaptures at the same time or does the second one overwrite the second one? I was thinking I could do:

vcap101=cv2.VideoCapture(dev1)
vcap102=cv2.VideoCapture(dev2)

Note: When I start the VCaps for all the cameras the images I can pull cv2.imwrite() from there are all 6-7 seconds apart.

🌐
DEV Community
dev.to › cyberhoax › stream-multiple-camera-using-opencv-47ek
stream multiple camera using OpenCV - DEV Community
July 6, 2020 - import numpy as np import cv2 #capture the webcam vid1 = cv2.VideoCapture(0) vid2 = cv2.VideoCapture(1) vid3 = cv2.VideoCapture('http://192.168.2.2:5000/video') #ipwebcam address while True: #while true, read the camera ret , frame = vid1.read() re1 , frame1 = vid2.read() ret2 , frame2 = vid3.read() if (ret): cv2.imshow('cam0',frame) #frame with name and variable of the camera cv2.imshow('cam1', frame1) cv2.imshow('cam3',frame2) if cv2.waitKey(1) & 0xFF == ord('q'): #to break the loop and terminate the program break vid1.release() vid2.release() vid3.release() you can check out this in GitHub too https://github.com/cyber-hoax/camera_stream_openCV
Top answer
1 of 1
46

To capture multiple streams with OpenCV, I recommend using threading which can improve performance by alleviating the heavy I/O operations to a separate thread. Since accessing the webcam/IP/RTSP stream using cv2.VideoCapture().read() is a blocking operation, our main program is stuck until the frame is read from the camera device. If you have multiple streams, this latency will definitely be visible. To remedy this problem, we can use threading to spawn another thread to handle retrieving the frames using a deque in parallel instead of relying on a single thread to obtain the frames in sequential order. Threading allows frames to be continuously read without impacting the performance of our main program. The idea to capture a single stream using threading and OpenCV, is from a previous answer in Python OpenCV multithreading streaming from camera.

But if you want to capture multiple streams, OpenCV alone is not enough. You can use OpenCV in combination with a GUI framework to stitch each image onto a nice display. I will use PyQt4 as the framework, qdarkstyle for GUI CSS, and imutils for OpenCV convenience functions.


Here is a very stripped down version of the camera GUI I currently use without the placeholder images, credential admin login page, and camera switching ability. I've kept the automatic camera reconnect feature incase the internet dies or the camera connection is lost. I only have 8 cameras as shown in the image above, but it is very simple to add in another camera and should not impact performance. This camera GUI currently performs at about ~60 FPS so it is real-time. You can easily rearrange the layout using PyQt layouts so feel free to modify the code! Remember to change the stream links!

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_()

Related camera/IP/RTSP, FPS, video, threading, and multiprocessing posts

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  2. Video Streaming from IP Camera in Python Using OpenCV cv2.VideoCapture

  3. How to capture multiple camera streams with OpenCV?

  4. OpenCV real time streaming video capture is slow. How to drop frames or get synced with real time?

  5. Storing RTSP stream as video file with OpenCV VideoWriter

  6. OpenCV video saving

  7. Python OpenCV multiprocessing cv2.VideoCapture mp4

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OpenCV
forum.opencv.org › python
Using 2 camera in a USB HUB - Python - OpenCV
November 7, 2022 - Hi everyone My problem is simple : I Trying to use the 2 same camera in a USB HUB, and one of the two dosen’t work. You can see here the simple code I use to test it : if __name__ == '__main__': # Load Camera(s) camera_One = set_Camera(0) camera_Two = set_Camera(1) while True: # Capture the video frame by frame ret1, frame1 = camera_One.read() ret2, frame2 = camera_Two.read() cv2.imshow('Output One', frame1) cv2.imshow('Output Two', f...
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OpenCV
forum.opencv.org › python
Use a camera with multiple scripts - Python - OpenCV
October 30, 2021 - I have a camera and two separate scripts, one is facial recognition and the other is object recognition. I would like to run both of them at the same time with the same camera and by separate files, is it possible? I have searched the internet and what I get the most is to use two cameras with ...
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YouTube
youtube.com › watch
OpenCV Image Capture with Multiple Cameras - YouTube
We can find all v4l supported cameras in /dev/v4l/by-id directory. This id will be unique and will not change when the system is rebooted. You can pass the d...
Published: August 10, 2022