What are the steps for capturing video using openCV in a python program?

I am facing a challenge in figuring out how to capture a video using openCV. While I have managed to display the video on an html template with the existing codes, I am uncertain about which codes are needed to actually record the video.

-camera.py-

import cv2

class VideoCamera(object):
    def __init__(self):
        self.video =cv2.VideoCapture(1)

    def __del__(self):
        self.video.releast()

    def get_frame(self):
        ret, frame = self.video.read()

        ret, jpeg = cv2.imencode('.jpg' , frame)
        return jpeg.tobytes()

-main.py-

from camera import VideoCamera
@app.route("/Record", methods=['GET', 'POST'])
def Record():
    #return Response(generate_frames(), mimetype='multipart/x-mixed-replace; boundary=frame')
    return render_template('record.html')

def gen(camera):
    while True:
        frame = camera.get_frame()
        yield (b' --frame\r\n'
               b'Content-Type: image/jpeg\r\n\r\n' + frame
               + b'\r\n\r\n')

@app.route('/video_feed')
def video_feed():
    return Response(gen(VideoCamera()), mimetype='multipart/x-mixed-replace; boundary=frame')

-record.html-

<body>
    <img id="bg" src="{{  url_for('video_feed')  }}">
</body>

Answer №1

To create a video file, you must first save each frame in a list. Here's a snippet of code to guide you through the process:

import cv2

class VideoRecorder(object):
    def __init__(self):
        # Set up video capture and writer objects
        self.video = cv2.VideoCapture(1)
        self.fourcc = cv2.VideoWriter_fourcc(*'XVID')
        self.out = cv2.VideoWriter('output.avi', self.fourcc, 20.0, (640, 480))

    def __del__(self):
        # Release video capture and writer resources
        self.video.release()
        self.out.release()

    def get_frame(self):
        ret, frame = self.video.read()
        if ret:
            # Save the frame into 'output.avi'
            self.out.write(frame)

            # Convert the frame to JPEG format
            ret, jpeg = cv2.imencode('.jpg', frame)
            return jpeg.tobytes()
        else:
            return None

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