python openCV 基于TCP的socket网络传输视频（二）

create time:2019年7月8日

  我在网上找了好多，现在基本实现了传输视频的功能，其思路是：首先得先了解如何使用openCV采集摄像头数据，
其次得了解python socket网络编程。因为socket不能直接传输openCV采集的数据，所以还需要转码操作。在该版本我实现最基
本的功能，客户端采集，服务端接收（也可以倒过来，看个人需求），使用类实现。

服务端

#!usr/bin/python
# coding=utf-8

import socket
import cv2
import numpy


class VideoServer:

    def __init__(self):

       try:
            self.s_sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
            self.s_sock.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)
            self.s_sock.bind(('10.0.0.30', 9999))
            self.s_sock.listen(5)
       except Exception, err:
           print err
           exit(0)

    def recv_all(self, sock, count):
        buf = ''
        while count:
            newbuf = sock.recv(count)
            if not newbuf: return None
            buf += newbuf
            count -= len(newbuf)
        return buf

    def recvImgAndShow(self):

        c_sock, c_addr = self.s_sock.accept()

        while True:
            tempdata_len = self.recv_all(c_sock, 16)
            if len(tempdata_len) == 16:
                stringData = self.recv_all(c_sock, int(tempdata_len))
                data = numpy.fromstring(stringData, dtype='uint8')
                tmp = cv2.imdecode(data, 1)  # 解码处理，返回mat图片
                img = cv2.resize(tmp, (640, 480))
                cv2.imshow('SERVER', img)
                if cv2.waitKey(1) == 27:
                    break
            self.s_sock.close()
            cv2.destroyAllWindows()

if __name__ == '__main__':

    videoS = VideoServer()
    videoS.recvImgAndShow()

客户端

#!usr/bin/python
# coding=utf-8

import socket
import cv2
import numpy


class CaptureCam:

    def __init__(self):
        # 连接服务器（初始化）
        self.sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
        self.sock.connect(('10.0.0.30', 9999))
        # 采集视频（参数）
        self.resolution = (640, 480)  # 分辨率
        self.img_fps = 95             # each second send pictures
        self.img = ''
        self.img_data = ''

    def sendfun(self):
        camera = cv2.VideoCapture(0)
        img_param = [int(cv2.IMWRITE_JPEG_QUALITY), self.img_fps]

        while True:
            _, self.img = camera.read()
            self.img = cv2.resize(self.img, self.resolution)
            _, img_encode = cv2.imencode('.jpg', self.img, img_param)
            img_code = numpy.array(img_encode)
            self.img_data = img_code.tostring()
            try:
                self.sock.send(str(len(self.img_data)).ljust(16))
                self.sock.send(self.img_data)
            except Exception, err:
                print err
                camera.release()
                self.sock.close()
                exit(0)


if __name__ == '__main__':

    cam = CaptureCam()
    cam.sendfun()

点

1. python opencv imencode跟imdecode函数用法

经典用法

_,img_encode = cv2.imencode('.jpg',img,img_param)

• img 是一张图片文件（在openCV中就是一个numpy的多维矩阵）
• img_param 是压缩参数

img_param = [int(cv2.IMWRITE_JPEG_QUALITY), img_fps]

• cv2.IMWRITE_JPEG_QUALITY 是openCV中的一个参数（类型是long这里需要做int转换）
• 对于jpg来说，imf_fps这个地方的数字可以是0到100,默认95。数字越大图片质量越好

参考:
https://blog.csdn.net/a19990412/article/details/80940310
https://blog.csdn.net/li_dongxuan/article/details/73135364
https://blog.csdn.net/a19990412/article/details/80930725
https://www.jianshu.com/p/4aed39710676
https://blog.csdn.net/hackjames/article/details/6943426
https://www.cnblogs.com/Leo_wl/p/3335877.html
python socket模块详解