使用 python 和 opencv 模拟网络摄像机

Question

我有一个用例，其中我使用 python 和 模拟 IP 摄像机 opencv.

我正在使用 opencv 播放视频，将帧的字节发送到一个应用程序，该应用程序正在端口 8080 上传输它。

问题是视频一结束，我就没有任何东西可以发送到在端口 8080 流式传输此 fake simulated camera 的应用程序，所以 application 将其视为超时并停止工作。

我的问题是，我怎样才能发送一些 fake bytes 让几天的黑屏噪音只是为了 保持我的应用程序 哪个在8080监听我的人脸模拟摄像头？

编辑 1： 添加代码

app.py

from camera import VideoCamera
from flask import Flask, render_template, Response
import time

app = Flask(__name__)

@app.route('/')
def index():
    return render_template('index.html')

def gen(camera):
    while True:
        try:
            frame = camera.get_frame()
        except Exception:
            print("Video is finished or empty")
            #return None
            frame = camera.get_heartbeat()
        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')

if __name__ == '__main__':
    app.run(debug=True)

camera.py

import cv2

class VideoCamera(object):
    def __init__(self):
        # Using OpenCV to capture from device 0. If you have trouble capturing
        # from a webcam, comment the line below out and use a video file
        # instead.
        #self.video = cv2.VideoCapture(0)
        # If you decide to use video.mp4, you must have this file in the folder
        # as the main.py.
        # self.video = cv2.VideoCapture('suits_hd.mp4') 
        self.video = cv2.VideoCapture('nature.mp4')

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

    def get_frame(self):
        success, image = self.video.read()
        # We are using Motion JPEG, but OpenCV defaults to capture raw images,
        # so we must encode it into JPEG in order to correctly display the
        # video stream.
        ret, jpeg = cv2.imencode('.jpg', image)
        return jpeg.tobytes()

    def get_heartbeat(self):
        # jpeg = cv2.imread('noise-black.jpg')
        image = cv2.imread('noise-green.jpg')
        ret, jpeg = cv2.imencode('.jpg', image)
        return jpeg.tobytes()

Answer 1

因此，当您初始化VideoCamera 时，获取文件中视频帧的宽度和高度并记住它们。然后，如果 self.video.read() 失败，只需使用 numpy 创建一个与视频帧大小相同的随机数组，然后 imencode() 并发送它。

制作一个随机的绿色框架：

import numpy as np

# Make the Green channel out of intensities in range 200-255
G=np.random.randint(200,256,(320,240,1), dtype=np.uint8)
# Make Red and Blue channel out of intensities in range 0-49
X=np.random.randint(0,50,(320,240,1), dtype=np.uint8)
# Merge into a 3-channel image, use BGR order with OpenCV - although it won't matter because G is in the middle in both!
image=np.concatenate((X,G,X),axis=2)

Answer 2

如果您能够识别视频文件的结尾，您可以只发送一张黑色图像，您可以从文件中读取它。 cv2.imread('black.jpg')然后通过套接字发送这个。

使用 python 和 opencv 模拟网络摄像机

IP camera simulation using python and opencv

python

camera

opencv

ip-camera

opencv3.0