opencv-python——使用mjpg-streamer实现实时视频流获取并进行远程图像处理操作

为了方便调试，这里采用mjpg-streamer实现实时视频流获取并进行远程图像处理操作。可以实现在PC机上调试嵌入式端的图像处理，并实时查看效果。

运行环境

• 树莓派4B Buster
• Jetson Nano

安装必要依赖包和软件

（1）树莓派

• 依赖包

sudo apt-get install subversion  libv4l-dev  libjpeg62-dev  imagemagick libjpeg62-dev libjpeg8-dev

（2）Jetson

sudo apt-get install libjpeg8-dev libv4l-dev

下载mjpg-streamer包

git clone https://github.com.cnpmjs.org/jacksonliam/mjpg-streamer

编译安装

• 进入mjpg-streamer/mjpg-streamer文件夹

cd mjpg-streamer/mjpg-streamer-experimental

• make编译

make
sudo make install

运行

./start.sh

将一条运行指令写入start.sh：

./mjpg_streamer -i "./input_uvc.so -d /dev/video0 -f 30 -r 1280x720" -o "./output_http.so -w ./www"

• 访问网页视频流

http://localhost:8080/

获取mjpg-streamer的视频帧并进行图像处理

# -*- coding:utf-8 -*-

import cv2
import numpy as np
from urllib import request


url = "http://localhost:8080/?action=snapshot"

def downloadImg():
    global url
    with request.urlopen(url) as f:
        data = f.read()
        img1 = np.frombuffer(data, np.uint8)
        #print("img1 shape ", img1.shape) # (83653,)
        img_cv = cv2.imdecode(img1, cv2.IMREAD_ANYCOLOR)
        return img_cv

while True:
    # image = downloadImg() 
    image = downloadImg() #cv2.imread('1.jpg') # 根据路径读取一张图片
    cv2.imshow("frame", image)
    dst = cv2.cvtColor(image, cv2.COLOR_BGR2HSV) # BGR转HSV
    cv2.imshow('output', dst)
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break
    
cv2.destroyAllWindows()

• 原画面

• 实时获取opencv处理后

• 友情链接：
  MJPG-streamer配合OpenCV进行HSV实时调试的方法