Python 实现海康机器人工业相机 MV-CU060-10GM 的实时显示视频流及拍照功能

一、背景介绍

1、最近项目中需要给客户对接海康机器人工业相机 MV-CU060-10GM；
2、客户要求通过部署的管理平台，可以在页面上实现如下功能：

1）相机视频流开始预览；
2）相机视频流停止预览；
3）相机拍照功能。

需求背景：客户需要对生产的产品进行定期抽样质检，其中涉及到外观检测，比如，样品的表面清洁度、外观等指标。所以，需要先通过管理平台点击相机的“预览”按钮，进行预览相机拍摄的实时效果，当客户认为清晰度和角度满足条件时，才会点击“拍照”按钮进行拍摄，从而保证质检的照片是有意义和有实用价值的。

二、调研历程

由于项目团队同事之前没有做过工业相机视频和拍照的相关开发，于是乎，就开启了“漫长”而“煎熬”的调研之路（断断续续持续了1个多月）。

最终于2022年12月6日，通过 Python “完美”实现了上述的三个功能。
特地写下此篇博客，供需要的网友参考，避免少走很多弯路。

1、海康工业相机官网

https://www.hikrobotics.com/cn/machinevision/productdetail?id=8518&pageNumber=13&pageSize=20

2、官网示例

可以在海康机器人官网提供的客户端工具 MVS，“帮助”–> “Development”，点击“Development”会跳转到安装目录，从“Samples”中获取官方提供的一些简单示例。

如果已经安装了 MVS，直接进入 C:\\Program Files (x86)\\MVS\\Development\\Samples 目录即可看到，目前支持 C#、C++、Java、OpenCV、Python、VB等语言。

本人主要使用Java和Python，所以，本篇博文主要从Java和Python两种语言调研了实现方案。

1）Java示例

SaveImage 有获取图片的示例，但是，没有视频流获取并显示的示例。（参考示例相对较少）

2）Python示例

GrabImage 目录下有获取图片的示例，Recording 目录下有获取视频流的示例，但是没有将视频流返回前端的示例。（参考示例相对较多）

3、网上博客参考

1）RTSP（Runtime Stream Protocol）协议方向

（很遗憾，此路不通！！！）
因为我们用的 海康机器人工业相机 MV-CU060-10GM 这款相机，不支持 RTSP 协议。

如下博客适用于 海康威视摄像头，并不适用于 海康工业相机，如果是使用海康威视摄像头的小伙伴可以参考下。

参考博客：海康威视摄像头对接SDK实时预览功能和抓拍功能，懒癌福利，可直接CV

2）Java实现方向

（不能完全满足客户需求，此路不全通！！！）

使用Java目前参考官网的示例，实现了图片抓取，并上传的功能，但是没有实现视频流的实时获取和显示的功能。

如果需求只是获取图片，不要求视频流实时显示，可以通过Java就可以实现。

3）Python实现方向

（目前，网上没有直接能完全满足上述三个需求的，本人通过借鉴、整合，结合Flask框架实现的。）

参考博客如下：
python语言下使用opencv接口cv2.VideoCapture()接口调用海康机器人工业相机 （此篇博文可以重点看！！！）

通过python调用海康威视工业摄像头并进行图像存储，同时使用opencv实时图像显示（数据流问题已解决）

python调用海康工业相机并用opencv显示（整体实现）（此篇博文可以重点看！！！）

pyQT5 学习使用 笔记 六 pyQt5+opencv 显示海康GIGE相机动态视频流 (该方式虽然实现了视频的实时显示，但是，无法被给前端直接调用)

web实时显示摄像头图像（python） （此篇博文可以重点看！！！）

4）Flask 的相关教程和博客

• https://www.w3cschool.cn/flask/
• https://dormousehole.readthedocs.io/en/latest/
• https://blog.csdn.net/weixin_44239541/article/details/89390139
• https://zhuanlan.zhihu.com/p/104273184
• https://blog.csdn.net/tulan_xiaoxin/article/details/79132214

三、Python 代码实现

1、Python 环境

1）Python 版本

个人使用的是 Python 3.8.5 版本（建议使用该版本或者更高版本）
Python 官网地址：https://www.python.org/
安装和配置可以参考：https://www.runoob.com/python3/python3-install.html

2）Python 虚拟环境

个人建议给该工程单独创建一个Python虚拟环境（如：hikrobotEnv），后续现场如果出现无法连接外网的情况下，可以直接Copy虚拟环境部署，比较方便。
当然，如果不是特殊情况，多个项目工程可以共用一个虚拟环境，可以使用 virtualenv、anaconda、PyCharm 等创建虚拟环境。
以 virtualenv 为例，创建 hikrobotEnv 虚拟环境的命令如下：

virtualenv hikrobotEnv --python=python3.8.5 

如果没有安装 virtualenv，可以通过如下命令安装：

pip install virtualenv

关于 virtualenv 的相关介绍和使用，可以参考博客：Python虚拟环境Virtualenv详解

2、测试代码

1）抓取图片测试代码

前提条件：将 *C:\\Program Files (x86)\\MVS\\Development\\Samples\\Python* 目录下的 MvImport 目录，copy到自己的工程目录下，创建测试文件 TestGrabImage.py

代码如下：

# -- coding: utf-8 --
import cv2
import sys
import copy
import msvcrt
import numpy as npfrom ctypes import *sys.path.append("./MvImport")
from MvCameraControl_class import *if __name__ == "__main__":deviceList = MV_CC_DEVICE_INFO_LIST()tlayerType = MV_GIGE_DEVICE | MV_USB_DEVICE# ch:枚举设备 | en:Enum deviceret = MvCamera.MV_CC_EnumDevices(tlayerType, deviceList)if ret != 0:print ("enum devices fail! ret[0x%x]" % ret)sys.exit()if deviceList.nDeviceNum == 0:print ("find no device!")sys.exit()print ("find %d devices!" % deviceList.nDeviceNum)for i in range(0, deviceList.nDeviceNum):mvcc_dev_info = cast(deviceList.pDeviceInfo[i], POINTER(MV_CC_DEVICE_INFO)).contentsif mvcc_dev_info.nTLayerType == MV_GIGE_DEVICE:print ("\\ngige device: [%d]" % i)strModeName = ""for per in mvcc_dev_info.SpecialInfo.stGigEInfo.chModelName:strModeName = strModeName + chr(per)print ("device model name: %s" % strModeName)nip1 = ((mvcc_dev_info.SpecialInfo.stGigEInfo.nCurrentIp & 0xff000000) >> 24)nip2 = ((mvcc_dev_info.SpecialInfo.stGigEInfo.nCurrentIp & 0x00ff0000) >> 16)nip3 = ((mvcc_dev_info.SpecialInfo.stGigEInfo.nCurrentIp & 0x0000ff00) >> 8)nip4 = (mvcc_dev_info.SpecialInfo.stGigEInfo.nCurrentIp & 0x000000ff)print ("current ip: %d.%d.%d.%d\\n" % (nip1, nip2, nip3, nip4))elif mvcc_dev_info.nTLayerType == MV_USB_DEVICE:print ("\\nu3v device: [%d]" % i)strModeName = ""for per in mvcc_dev_info.SpecialInfo.stUsb3VInfo.chModelName:if per == 0:breakstrModeName = strModeName + chr(per)print ("device model name: %s" % strModeName)strSerialNumber = ""for per in mvcc_dev_info.SpecialInfo.stUsb3VInfo.chSerialNumber:if per == 0:breakstrSerialNumber = strSerialNumber + chr(per)print ("user serial number: %s" % strSerialNumber)nConnectionNum = 0if int(nConnectionNum) >= deviceList.nDeviceNum:print ("intput error!")sys.exit()# ch:创建相机实例 | en:Creat Camera Objectcam = MvCamera()# ch:选择设备并创建句柄 | en:Select device and create handlestDeviceList = cast(deviceList.pDeviceInfo[int(nConnectionNum)], POINTER(MV_CC_DEVICE_INFO)).contentsret = cam.MV_CC_CreateHandle(stDeviceList)if ret != 0:print ("create handle fail! ret[0x%x]" % ret)sys.exit()# ch:打开设备 | en:Open deviceret = cam.MV_CC_OpenDevice(MV_ACCESS_Exclusive, 0)if ret != 0:print ("open device fail! ret[0x%x]" % ret)sys.exit()# ch:探测网络最佳包大小(只对GigE相机有效) | en:Detection network optimal package size(It only works for the GigE camera)if stDeviceList.nTLayerType == MV_GIGE_DEVICE:nPacketSize = cam.MV_CC_GetOptimalPacketSize()if int(nPacketSize) > 0:ret = cam.MV_CC_SetIntValue("GevSCPSPacketSize", nPacketSize)if ret != 0:print ("Warning: Set Packet Size fail! ret[0x%x]" % ret)else:print ("Warning: Get Packet Size fail! ret[0x%x]" % nPacketSize)# ch:设置触发模式为off | en:Set trigger mode as offret = cam.MV_CC_SetEnumValue("TriggerMode", MV_TRIGGER_MODE_OFF)if ret != 0:print ("set trigger mode fail! ret[0x%x]" % ret)sys.exit()# ch:获取数据包大小 | en:Get payload sizestParam = MVCC_INTVALUE()memset(byref(stParam), 0, sizeof(MVCC_INTVALUE))ret = cam.MV_CC_GetIntValue("PayloadSize", stParam)if ret != 0:print ("get payload size fail! ret[0x%x]" % ret)sys.exit()nPayloadSize = stParam.nCurValue# ch:开始取流 | en:Start grab imageret = cam.MV_CC_StartGrabbing()if ret != 0:print ("start grabbing fail! ret[0x%x]" % ret)sys.exit()stDeviceList = MV_FRAME_OUT_INFO_EX()memset(byref(stDeviceList), 0, sizeof(stDeviceList))data_buf = (c_ubyte * nPayloadSize)()ret = cam.MV_CC_GetOneFrameTimeout(byref(data_buf), nPayloadSize, stDeviceList, 1000)if ret == 0:print ("get one frame: Width[%d], Height[%d], nFrameNum[%d]" % (stDeviceList.nWidth, stDeviceList.nHeight, stDeviceList.nFrameNum))nRGBSize = stDeviceList.nWidth * stDeviceList.nHeight * 3stConvertParam=MV_SAVE_IMAGE_PARAM_EX()stConvertParam.nWidth = stDeviceList.nWidthstConvertParam.nHeight = stDeviceList.nHeightstConvertParam.pData = data_bufstConvertParam.nDataLen = stDeviceList.nFrameLenstConvertParam.enPixelType = stDeviceList.enPixelTypestConvertParam.nImageLen = stConvertParam.nDataLenstConvertParam.nJpgQuality = 70stConvertParam.enImageType = MV_Image_JpegstConvertParam.pImageBuffer = (c_ubyte * nRGBSize)()stConvertParam.nBufferSize = nRGBSize# ret = cam.MV_CC_ConvertPixelType(stConvertParam)print(stConvertParam.nImageLen)ret = cam.MV_CC_SaveImageEx2(stConvertParam)if ret != 0:print ("convert pixel fail ! ret[0x%x]" % ret)del data_bufsys.exit()file_path = "AfterConvert_RGB2.jpg"file_open = open(file_path.encode('ascii'), 'wb+')img_buff = (c_ubyte * stConvertParam.nImageLen)()cdll.msvcrt.memcpy(byref(img_buff), stConvertParam.pImageBuffer, stConvertParam.nImageLen)file_open.write(img_buff)print ("Save Image succeed!")# ch:停止取流 | en:Stop grab imageret = cam.MV_CC_StopGrabbing()if ret != 0:print ("stop grabbing fail! ret[0x%x]" % ret)del data_bufsys.exit()# ch:关闭设备 | Close deviceret = cam.MV_CC_CloseDevice()if ret != 0:print ("close deivce fail! ret[0x%x]" % ret)del data_bufsys.exit()# ch:销毁句柄 | Destroy handleret = cam.MV_CC_DestroyHandle()if ret != 0:print ("destroy handle fail! ret[0x%x]" % ret)del data_bufsys.exit()del data_buf

在python 虚拟环境中，执行 python TestGrabImage.py 运行后，会在当前目录下生成一个名为 AfterConvert_RGB2.jpg 的图片文件。

如果运行过程中提示模块不存在，可以通过 pip install 命令安装相应的模块，建议使用清华源，如 安装 opencv-python，命令如下：

pip install opencv-python==4.1.2.30 -i https://pypi.tuna.tsinghua.edu.cn/simple

2）Python+Qt 实现视频流实时显示测试代码

前提条件：将 *C:\\Program Files (x86)\\MVS\\Development\\Samples\\Python* 目录下的 MvImport 目录，copy到自己的工程目录下，创建测试文件 TestVideoStream.py

代码如下：

# -- coding: utf-8 --
import cv2
from PyQt5 import QtCore, QtGui, QtWidgets
from PyQt5.QtCore import pyqtSignal
from PyQt5.QtGui import *
import numpy as np#from CameraControl_header import MV_CC_DEVICE_INFO_LIST
#from mainWindow import Ui_MainWindow  # 导入创建的GUI类
import sys
import threading
import msvcrt
from ctypes import *sys.path.append("./MvImport")
from MvCameraControl_class import *
from Ui_MainWindow  import *
from CameraParams_header import *class mywindow(QtWidgets.QMainWindow, Ui_MainWindow):sendAddDeviceName = pyqtSignal() #定义一个添加设备列表的信号。deviceList = MV_CC_DEVICE_INFO_LIST()g_bExit = False# ch:创建相机实例 | en:Creat Camera Objectcam = MvCamera()def connect_and_emit_sendAddDeviceName(self):# Connect the sendAddDeviceName signal to a slot.self.sendAddDeviceName.connect(self.SelectDevice)# Emit the signal.self.sendAddDeviceName.emit()def __init__(self):super(mywindow, self).__init__()self.setupUi(self)self.connect_and_emit_sendAddDeviceName()self.butopenCam.clicked.connect(lambda:self.openCam(self.camSelect.currentData()))self.butcloseCam.clicked.connect(self.closeCam)# setting main window geometrydesktop_geometry = QtWidgets.QApplication.desktop()  # 获取屏幕大小main_window_width = desktop_geometry.width()  # 屏幕的宽main_window_height = desktop_geometry.height()  # 屏幕的高rect = self.geometry()  # 获取窗口界面大小window_width = rect.width()  # 窗口界面的宽window_height = rect.height()  # 窗口界面的高x = (main_window_width - window_width) // 2  # 计算窗口左上角点横坐标y = (main_window_height - window_height) // 2  # 计算窗口左上角点纵坐标self.setGeometry(x, y, window_width, window_height)  # 设置窗口界面在屏幕上的位置# 无边框以及背景透明一般不会在主窗口中用到，一般使用在子窗口中，例如在子窗口中显示gif提示载入信息等等# self.setWindowFlags(Qt.FramelessWindowHint)# self.setAttribute(Qt.WA_TranslucentBackground)#打开摄像头。def openCam(self,camid):self.g_bExit = False# ch:选择设备并创建句柄 | en:Select device and create handlestDeviceList = cast(self.deviceList.pDeviceInfo[int(camid)], POINTER(MV_CC_DEVICE_INFO)).contentsret = self.cam.MV_CC_CreateHandle(stDeviceList)if ret != 0:print("create handle fail! ret[0x%x]" % ret)sys.exit()# ch:打开设备 | en:Open deviceret = self.cam.MV_CC_OpenDevice(MV_ACCESS_Exclusive, 0)if ret != 0:print("open device fail! ret[0x%x]" % ret)sys.exit()# ch:探测网络最佳包大小(只对GigE相机有效) | en:Detection network optimal package size(It only works for the GigE camera)if stDeviceList.nTLayerType == MV_GIGE_DEVICE:nPacketSize = self.cam.MV_CC_GetOptimalPacketSize()if int(nPacketSize) > 0:ret = self.cam.MV_CC_SetIntValue("GevSCPSPacketSize", nPacketSize)if ret != 0:print("Warning: Set Packet Size fail! ret[0x%x]" % ret)else:print("Warning: Get Packet Size fail! ret[0x%x]" % nPacketSize)# ch:设置触发模式为off | en:Set trigger mode as offret = self.cam.MV_CC_SetEnumValue("TriggerMode", MV_TRIGGER_MODE_OFF)if ret != 0:print("set trigger mode fail! ret[0x%x]" % ret)sys.exit()# ch:获取数据包大小 | en:Get payload sizestParam = MVCC_INTVALUE()memset(byref(stParam), 0, sizeof(MVCC_INTVALUE))ret = self.cam.MV_CC_GetIntValue("PayloadSize", stParam)if ret != 0:print("get payload size fail! ret[0x%x]" % ret)sys.exit()nPayloadSize = stParam.nCurValue# ch:开始取流 | en:Start grab imageret = self.cam.MV_CC_StartGrabbing()if ret != 0:print("start grabbing fail! ret[0x%x]" % ret)sys.exit()data_buf = (c_ubyte * nPayloadSize)()try:hThreadHandle = threading.Thread(target=self.work_thread, args=(self.cam, data_buf, nPayloadSize))hThreadHandle.start()except:print("error: unable to start thread")#关闭相机def closeCam(self):self.g_bExit=True# ch:停止取流 | en:Stop grab imageret = self.cam.MV_CC_StopGrabbing()if ret != 0:print("stop grabbing fail! ret[0x%x]" % ret)sys.exit()# ch:关闭设备 | Close deviceret = self.cam.MV_CC_CloseDevice()if ret != 0:print("close deivce fail! ret[0x%x]" % ret)# ch:销毁句柄 | Destroy handleret = self.cam.MV_CC_DestroyHandle()if ret != 0:print("destroy handle fail! ret[0x%x]" % ret)def work_thread(self,cam=0, pData=0, nDataSize=0):stFrameInfo = MV_FRAME_OUT_INFO_EX()memset(byref(stFrameInfo), 0, sizeof(stFrameInfo))while True:QIm = np.asarray(pData)  # 将c_ubyte_Array转化成ndarray得到（3686400，）QIm = QIm.reshape((2048, 3072, 1))  # 根据自己分辨率进行转化# print(temp)# print(temp.shape)QIm = cv2.cvtColor(QIm, cv2.COLOR_BGR2RGB)  # 这一步获取到的颜色不对，因为默认是BRG，要转化成RGB，颜色才正常pyrD1=cv2.pyrDown(QIm) #向下取样pyrD2 = cv2.pyrDown(pyrD1)  # 向下取样image_height, image_width, image_depth = pyrD2.shape  # 读取图像高宽深度pyrD3 = QImage(pyrD2, image_width, image_height,  image_width * image_depth,QImage.Format_RGB888)self.label.setPixmap(QPixmap.fromImage(pyrD3))#cv2.namedWindow("result", cv2.WINDOW_AUTOSIZE)#cv2.imshow("result", temp)#if cv2.waitKey(1) & 0xFF == ord('q'):#    breakret = cam.MV_CC_GetOneFrameTimeout(pData, nDataSize, stFrameInfo, 1000)if ret == 0:print("get one frame: Width[%d], Height[%d], nFrameNum[%d]" % (stFrameInfo.nWidth, stFrameInfo.nHeight, stFrameInfo.nFrameNum))else:print("no data[0x%x]" % ret)if self.g_bExit == True:del pDatabreak#获得所有相机的列表存入cmbSelectDevice中def SelectDevice(self):'''选择所有能用的相机到列表中，gige相机需要配合 sdk 得到。'''#得到相机列表tlayerType = MV_GIGE_DEVICE | MV_USB_DEVICE# ch:枚举设备 | en:Enum deviceret = MvCamera.MV_CC_EnumDevices(tlayerType, self.deviceList)if ret != 0:print("enum devices fail! ret[0x%x]" % ret)sys.exit()if self.deviceList.nDeviceNum == 0:print("find no device!")sys.exit()print("Find %d devices!" % self.deviceList.nDeviceNum)for i in range(0, self.deviceList.nDeviceNum):mvcc_dev_info = cast(self.deviceList.pDeviceInfo[i], POINTER(MV_CC_DEVICE_INFO)).contentsif mvcc_dev_info.nTLayerType == MV_GIGE_DEVICE:print("\\ngige device: [%d]" % i)strModeName = ""for per in mvcc_dev_info.SpecialInfo.stGigEInfo.chModelName:strModeName = strModeName + chr(per)print("device model name: %s" % strModeName)self.camSelect.addItem(strModeName,i) #写入设备列表。def pushbutton_function(self):#do some thingsImg=cv2.imread('JP1.JPG') #通过opencv读入一张图片image_height, image_width, image_depth=Img.shape #读取图像高宽深度QIm=cv2.cvtColor(Img,cv2.COLOR_BGR2RGB)QIm=QImage(QIm.data, image_width, image_height,  image_width * image_depth,QImage.Format_RGB888)self.label.setPixmap(QPixmap.fromImage(QIm))if __name__ == '__main__':app = QtWidgets.QApplication(sys.argv)window = mywindow()window.show()sys.exit(app.exec_())

上述代码中用到的 Ui_MainWindow.py，放到 MvImport 目录下。

代码如下：

# -*- coding: utf-8 -*-# Form implementation generated from reading ui file 'mainWindow.ui'
#
# Created by: PyQt5 UI code generator 5.15.0
#
# WARNING: Any manual changes made to this file will be lost when pyuic5 is
# run again.  Do not edit this file unless you know what you are doing.from PyQt5 import QtCore, QtGui, QtWidgetsclass Ui_MainWindow(object):def setupUi(self, MainWindow):MainWindow.setObjectName("MainWindow")MainWindow.resize(589, 530)self.centralwidget = QtWidgets.QWidget(MainWindow)self.centralwidget.setObjectName("centralwidget")self.verticalLayout = QtWidgets.QVBoxLayout(self.centralwidget)self.verticalLayout.setObjectName("verticalLayout")self.camSelect = QtWidgets.QComboBox(self.centralwidget)self.camSelect.setObjectName("camSelect")self.verticalLayout.addWidget(self.camSelect)self.label = QtWidgets.QLabel(self.centralwidget)self.label.setObjectName("label")self.verticalLayout.addWidget(self.label)self.butopenCam = QtWidgets.QPushButton(self.centralwidget)self.butopenCam.setObjectName("butopenCam")self.verticalLayout.addWidget(self.butopenCam)self.butcloseCam = QtWidgets.QPushButton(self.centralwidget)self.butcloseCam.setObjectName("butcloseCam")self.verticalLayout.addWidget(self.butcloseCam)MainWindow.setCentralWidget(self.centralwidget)self.menubar = QtWidgets.QMenuBar(MainWindow)self.menubar.setGeometry(QtCore.QRect(0, 0, 589, 23))self.menubar.setObjectName("menubar")MainWindow.setMenuBar(self.menubar)self.statusbar = QtWidgets.QStatusBar(MainWindow)self.statusbar.setObjectName("statusbar")MainWindow.setStatusBar(self.statusbar)self.retranslateUi(MainWindow)QtCore.QMetaObject.connectSlotsByName(MainWindow)def retranslateUi(self, MainWindow):_translate = QtCore.QCoreApplication.translateMainWindow.setWindowTitle(_translate("MainWindow", "MainWindow"))self.label.setText(_translate("MainWindow", "TextLabel"))self.butopenCam.setText(_translate("MainWindow", "打开相机"))self.butcloseCam.setText(_translate("MainWindow", "关闭相机"))

在python 虚拟环境中，执行 python TestVideoStream.py 运行，可以看到如下视频中的效果：

如果运行过程中提示模块不存在，可以通过 pip install 命令安装相应的模块，建议使用清华源，如 安装 opencv-python，命令如下：

pip install opencv-python==4.1.2.30 -i https://pypi.tuna.tsinghua.edu.cn/simple

通过视频中的效果可以看出：虽然实现了视频流的实时获取和显示，但是无法直接对接前端展示，不够友好。

四、最终代码（完整版）

之前的两个测试代码，仅作为测试参考，并非最终代码！！！

此段落中的代码，才是最终代码，可以重点参考！！！

使用 Python + OpenCV + Flask 实现，可以满足视频实时获取，并返回通过GET请求返回给前端进行实时显示，也可以抓取图片，保存上传。

1、添加依赖文件

将 *C:\\Program Files (x86)\\MVS\\Development\\Samples\\Python* 目录下的 MvImport 目录，copy到自己的工程目录下。

2、安装插件 DirectShow

1）进入第三方插件 DirectShow 路径

cd C:\\Program Files (x86)\\MVS\\Development\\ThirdPartyPlatformAdapter\\DirectShow\\x64\\MvDSS2

2）安装 DirectShow

使用 管理员权限 运行 InstallDSSvc_x64.bat

说明：本人使用的是64位Windows操作系统，运行代码也是基于64位运行，故而使用该版本；32位系统在上一目录中也存在，大家可以根据实际情况进行安装。

3、安装依赖模块

1）安装 opencv-python

pip install opencv-python==4.1.2.30 -i https://pypi.tuna.tsinghua.edu.cn/simple

个人使用的是 Python 3.8.5，opencv-python 对应使用 4.1.2.30 版本即可。
如果使用的 opencv-python 的版本过高，可能报如下错误：

cv2.error: Unknown C++ exception from OpenCV code.

2）安装 Flask

pip install flask -i https://pypi.tuna.tsinghua.edu.cn/simple

也可以指定 Flask 的版本，如：

pip install flask=2.2.2 -i https://pypi.tuna.tsinghua.edu.cn/simple

4、核心代码

工程代码结构如下：

0）index.html

在工程中创建 templates 目录，用于存放 index.hml

<html><head></head><body><h1>拍照预览</h1><img src="{{ url_for('startPreview') }}" width="50%"></body>
</html>

1）JsonResponse.py

用于规范返回给前端的数据类型，代码如下：

# -- coding: utf-8 --class JsonResponse(object):"""统一的json返回格式"""def __init__(self, code, msg, data):self.code = codeself.msg = msgself.data = data@classmethoddef success(cls, code=0, msg='success', data=None):return cls(code, msg, data)@classmethoddef error(cls, code=-1, msg='error', data=None):return cls(code, msg, data)def to_dict(self):return {"code": self.code,"msg": self.msg,"data": self.data}

2）JsonFlask.py

用于重定义数据返回格式，代码如下：

# -- coding: utf-8 --from flask import Flask, jsonify
from JsonResponse import *class JsonFlask(Flask):def make_response(self, rv):"""视图函数可以直接返回: list、dict、None"""if rv is None or isinstance(rv, (list, dict)):rv = JsonResponse.success(rv)if isinstance(rv, JsonResponse):rv = jsonify(rv.to_dict())return super().make_response(rv)

3）HikRobotCamera.py

核心代码文件，实现如下功能：
开始预览视频流、停止预览视频流、获取图片、记录日志等功能。

代码如下：

# -- coding: utf-8 --
import cv2
from flask import Flask, render_template, Responseimport sys
import msvcrt
import base64
import datetime
import loggingsys.path.append("./MvImport")
from MvCameraControl_class import *
from JsonResponse import *
from JsonFlask import *logging.basicConfig(level=logging.DEBUG,#控制台打印的日志级别filename='hikrobot.log',filemode='a',##模式，有w和a，w就是写模式，每次都会重新写日志，覆盖之前的日志#a是追加模式，默认如果不写的话，就是追加模式format='%(asctime)s - %(pathname)s[line:%(lineno)d] - %(levelname)s: %(message)s'#日志格式)# 这里配置一下 template_folder为当前目录，不然可以找不到 index.html
app = JsonFlask(__name__, template_folder='.')# index
@app.route('/')
def index():return render_template('./templates/index.html')# 获取码流
def generate(cap):# 捕获异常信息try:while True:# 如果是关闭相机，先退出取视频流的循环global openif (not open):break;retgrab = cap.grab()if retgrab == True:logging.debug("Grab true")ret1, frame = cap.retrieve()# print(type(frame))if frame is None:logging.error("frame is None")continueret1, jpeg = cv2.imencode('.jpg', frame)jpg_frame = jpeg.tobytes()yield (b'--frame\\r\\n'b'Content-Type: image/jpeg\\r\\n\\r\\n' + jpg_frame + b'\\r\\n')except Exception as e:logging.error("generate error: %s" % str(e))# 开始预览
@app.route('/startPreview')
def startPreview():logging.info("======================================")logging.info("start to preview video stream, current_time: " + str(datetime.datetime.now()))# 全局变量，用于控制获取视频流的开关状态global openopen = True# 全局变量，获取视频连接global capcap = cv2.VideoCapture(1)if False == cap.isOpened():logging.error("can't open camera")quit()else:logging.info("start to open camera")logging.info("open camera ok")# 分辨率设置 3072*2048（海康机器人工业相机 MV-CU060-10GM）cap.set(cv2.CAP_PROP_FRAME_WIDTH, 3072)cap.set(cv2.CAP_PROP_FRAME_HEIGHT, 2048)# 帧率配置cap.set(cv2.CAP_PROP_FPS, 15)   return Response(generate(cap), mimetype='multipart/x-mixed-replace;boundary=frame')# 停止预览
@app.route('/stopPreview')
def stopPreview():logging.info("======================================")logging.info("stop to preview video stream, current_time: " + str(datetime.datetime.now()))logging.info("start to close camera")# 全局变量，用于停止循环global openopen = Falselogging.info("release resources start")# 全局变量，用于释放相机资源try:global capcap.release()cv2.destroyAllWindows()except Exception as e:logging.error("stopPreview error: %s" % str(e))logging.info("release resources end")logging.info("camera closed successfully, current_time: " + str(datetime.datetime.now()))logging.info("======================================")return "stop to preview"@app.route('/openAndSave')
def openAndSave():logging.info("======================================")logging.info("start to grab image, current_time: " + str(datetime.datetime.now()))code = 100000msg = "连接相机时发生错误"# img_base64 = Nonetry:deviceList = MV_CC_DEVICE_INFO_LIST()tlayerType = MV_GIGE_DEVICE | MV_USB_DEVICE# ch:枚举设备 | en:Enum deviceret = MvCamera.MV_CC_EnumDevices(tlayerType, deviceList)if ret != 0:logging.error("enum devices fail! ret[0x%x]" % ret)sys.exit()if deviceList.nDeviceNum == 0:logging.error("find no device!")sys.exit()logging.info("find %d devices!" % deviceList.nDeviceNum)for i in range(0, deviceList.nDeviceNum):mvcc_dev_info = cast(deviceList.pDeviceInfo[i], POINTER(MV_CC_DEVICE_INFO)).contentsif mvcc_dev_info.nTLayerType == MV_GIGE_DEVICE:logging.info("\\ngige device: [%d]" % i)strModeName = ""for per in mvcc_dev_info.SpecialInfo.stGigEInfo.chModelName:strModeName = strModeName + chr(per)logging.info("device model name: %s" % strModeName)nip1 = ((mvcc_dev_info.SpecialInfo.stGigEInfo.nCurrentIp & 0xff000000) >> 24)nip2 = ((mvcc_dev_info.SpecialInfo.stGigEInfo.nCurrentIp & 0x00ff0000) >> 16)nip3 = ((mvcc_dev_info.SpecialInfo.stGigEInfo.nCurrentIp & 0x0000ff00) >> 8)nip4 = (mvcc_dev_info.SpecialInfo.stGigEInfo.nCurrentIp & 0x000000ff)logging.info("current ip: %d.%d.%d.%d\\n" % (nip1, nip2, nip3, nip4))elif mvcc_dev_info.nTLayerType == MV_USB_DEVICE:logging.info("\\nu3v device: [%d]" % i)strModeName = ""for per in mvcc_dev_info.SpecialInfo.stUsb3VInfo.chModelName:if per == 0:breakstrModeName = strModeName + chr(per)logging.info("device model name: %s" % strModeName)strSerialNumber = ""for per in mvcc_dev_info.SpecialInfo.stUsb3VInfo.chSerialNumber:if per == 0:breakstrSerialNumber = strSerialNumber + chr(per)logging.info("user serial number: %s" % strSerialNumber)nConnectionNum = 0if int(nConnectionNum) >= deviceList.nDeviceNum:logging.error("intput error!")sys.exit()# ch:创建相机实例 | en:Creat Camera Objectcam = MvCamera()# ch:选择设备并创建句柄 | en:Select device and create handlestDeviceList = cast(deviceList.pDeviceInfo[int(nConnectionNum)], POINTER(MV_CC_DEVICE_INFO)).contentsret = cam.MV_CC_CreateHandle(stDeviceList)if ret != 0:logging.error("create handle fail! ret[0x%x]" % ret)sys.exit()# ch:打开设备 | en:Open deviceret = cam.MV_CC_OpenDevice(MV_ACCESS_Exclusive, 0)if ret != 0:logging.error("open device fail! ret[0x%x]" % ret)sys.exit()# ch:探测网络最佳包大小(只对GigE相机有效) | en:Detection network optimal package size(It only works for the GigE camera)if stDeviceList.nTLayerType == MV_GIGE_DEVICE:nPacketSize = cam.MV_CC_GetOptimalPacketSize()if int(nPacketSize) > 0:ret = cam.MV_CC_SetIntValue("GevSCPSPacketSize", nPacketSize)if ret != 0:logging.warn("Warning: Set Packet Size fail! ret[0x%x]" % ret)else:logging.warn("Warning: Get Packet Size fail! ret[0x%x]" % nPacketSize)# ch:设置触发模式为off | en:Set trigger mode as offret = cam.MV_CC_SetEnumValue("TriggerMode", MV_TRIGGER_MODE_OFF)if ret != 0:logging.error("set trigger mode fail! ret[0x%x]" % ret)sys.exit()# ch:获取数据包大小 | en:Get payload sizestParam = MVCC_INTVALUE()memset(byref(stParam), 0, sizeof(MVCC_INTVALUE))ret = cam.MV_CC_GetIntValue("PayloadSize", stParam)if ret != 0:logging.error("get payload size fail! ret[0x%x]" % ret)sys.exit()nPayloadSize = stParam.nCurValue# ch:开始取流 | en:Start grab imageret = cam.MV_CC_StartGrabbing()if ret != 0:logging.error("start grabbing fail! ret[0x%x]" % ret)sys.exit()stDeviceList = MV_FRAME_OUT_INFO_EX()memset(byref(stDeviceList), 0, sizeof(stDeviceList))data_buf = (c_ubyte * nPayloadSize)()ret = cam.MV_CC_GetOneFrameTimeout(byref(data_buf), nPayloadSize, stDeviceList, 1000)if ret == 0:logging.info("get one frame: Width[%d], Height[%d], nFrameNum[%d]" % (stDeviceList.nWidth, stDeviceList.nHeight, stDeviceList.nFrameNum))nRGBSize = stDeviceList.nWidth * stDeviceList.nHeight * 3stConvertParam=MV_SAVE_IMAGE_PARAM_EX()stConvertParam.nWidth = stDeviceList.nWidthstConvertParam.nHeight = stDeviceList.nHeightstConvertParam.pData = data_bufstConvertParam.nDataLen = stDeviceList.nFrameLenstConvertParam.enPixelType = stDeviceList.enPixelTypestConvertParam.nImageLen = stConvertParam.nDataLenstConvertParam.nJpgQuality = 70stConvertParam.enImageType = MV_Image_JpegstConvertParam.pImageBuffer = (c_ubyte * nRGBSize)()stConvertParam.nBufferSize = nRGBSize# ret = cam.MV_CC_ConvertPixelType(stConvertParam)logging.info("nImageLen: %d" % stConvertParam.nImageLen)ret = cam.MV_CC_SaveImageEx2(stConvertParam)if ret != 0:logging.error("convert pixel fail ! ret[0x%x]" % ret)del data_bufsys.exit()#file_path = "AfterConvert_RGB2.jpg"#file_open = open(file_path, 'wb+')#file_open = open(file_path.encode('utf8'), 'wb')img_buff = (c_ubyte * stConvertParam.nImageLen)()cdll.msvcrt.memcpy(byref(img_buff), stConvertParam.pImageBuffer, stConvertParam.nImageLen)#file_open.write(img_buff)# 对返回的图片进行 base64 格式转换img_base64 = "data:image/jpg;base64," + str(base64.b64encode(img_buff)).split("'")[1]code = 200msg = "success"logging.info("Save Image succeed!")# ch:停止取流 | en:Stop grab imageret = cam.MV_CC_StopGrabbing()if ret != 0:logging.error("stop grabbing fail! ret[0x%x]" % ret)del data_bufsys.exit()# ch:关闭设备 | Close deviceret = cam.MV_CC_CloseDevice()if ret != 0:logging.error("close deivce fail! ret[0x%x]" % ret)del data_bufsys.exit()# ch:销毁句柄 | Destroy handleret = cam.MV_CC_DestroyHandle()if ret != 0:logging.error("destroy handle fail! ret[0x%x]" % ret)del data_bufsys.exit()del data_bufexcept Exception as e:logging.error("openAndSave error: %s" % str(e))# print("openAndSave finished, current_time: " + str(datetime.datetime.now()))  return JsonResponse(code, msg, img_base64)# 执行web服务, 端口号可自行修订
logging.info("start to run camera app, current_time: " + str(datetime.datetime.now()))
app.run(host='0.0.0.0', port=65432, debug=True, threaded=True)

5、运行代码

进入Python虚拟环境，执行如下命令：

python HikRobotCamera.py

6、功能验证

1）开始预览

可以将 http://127.0.0.1:65432/startPreview 在前端用 img 标签 显示视频的实时预览效果。

http://127.0.0.1:65432/startPreview

2）停止预览

由于使用的这款海康机器人工业相机（MV-CU060-10GM）只能创建一个连接，所以，当预览完实时视频，需要调用该接口释放相机资源，避免资源被长期占用。

http://127.0.0.1:65432/stopPreview

3）获取图片

返回 base64 格式 的图片，前端可以直接接收显示，调用上传接口保存。

http://127.0.0.1:65432/openAndSave

7、运行效果

由于网速问题和相机没有光圈，相机的拍摄效果有点不清晰。运行效果如下：

8、日志查看

工程目录下回生产日志文件 hikrobot.log，内容如下：

9、彩蛋

HikRobotCamera.py 的改良优化版，对获取图片方法做了简化，更为简洁。代码如下：

# -- coding: utf-8 --
import cv2
from flask import Flask, render_template, Responseimport sys
import msvcrt
import base64
import datetime
import loggingsys.path.append("./MvImport")
from MvCameraControl_class import *
from JsonResponse import *
from JsonFlask import *logging.basicConfig(level=logging.DEBUG,#控制台打印的日志级别filename='hikrobot.log',filemode='a',##模式，有w和a，w就是写模式，每次都会重新写日志，覆盖之前的日志#a是追加模式，默认如果不写的话，就是追加模式format='%(asctime)s - %(pathname)s[line:%(lineno)d] - %(levelname)s: %(message)s'#日志格式)# 这里配置一下 template_folder为当前目录，不然可以找不到 index.html
app = JsonFlask(__name__, template_folder='.')# index
@app.route('/')
def index():return render_template('./templates/index.html')# 获取码流
def generate(cap):# 捕获异常信息try:while True:# 如果是关闭相机，先退出取视频流的循环global openif (not open):break;retgrab = cap.grab()if retgrab == True:logging.debug("Grab true")ret1, frame = cap.retrieve()# print(type(frame))if frame is None:logging.error("frame is None")continueret1, jpeg = cv2.imencode('.jpg', frame)jpg_frame = jpeg.tobytes()yield (b'--frame\\r\\n'b'Content-Type: image/jpeg\\r\\n\\r\\n' + jpg_frame + b'\\r\\n')except Exception as e:logging.error("generate error: %s" % str(e))# 开始预览
@app.route('/startPreview')
def startPreview():logging.info("================== startPreview start ====================")logging.info("start to preview video stream, current_time: " + str(datetime.datetime.now()))# 全局变量，用于控制获取视频流的开关状态try:global openopen = True# 全局变量，获取视频连接global capcap = cv2.VideoCapture(1)if False == cap.isOpened():logging.error("startPreview -- can't open camera")quit()else:logging.info("startPreview -- start to open camera")logging.info("startPreview -- open camera ok")# 分辨率设置 3072*2048（海康机器人工业相机 MV-CU060-10GM）cap.set(cv2.CAP_PROP_FRAME_WIDTH, 3072)cap.set(cv2.CAP_PROP_FRAME_HEIGHT, 2048)# 帧率配置cap.set(cv2.CAP_PROP_FPS, 15)   response = Response(generate(cap), mimetype='multipart/x-mixed-replace;boundary=frame')except Exception as e:logging.error("startPreview error: %s" % str(e))return response# 停止预览
@app.route('/stopPreview')
def stopPreview():logging.info("================== stopPreview start ====================")logging.info("stop to preview video stream, current_time: " + str(datetime.datetime.now()))logging.info("start to close camera")# 全局变量，用于停止循环global openopen = Falselogging.info("release resources start")# 全局变量，用于释放相机资源try:global capcap.release()cv2.destroyAllWindows()except Exception as e:logging.error("stopPreview error: %s" % str(e))logging.info("release resources end")logging.info("camera closed successfully, current_time: " + str(datetime.datetime.now()))logging.info("=================== stopPreview end ===================")return "stop to preview"# 获取base64图片
@app.route('/grabImage')
def grabImage():code = 100000msg = "连接相机时发生错误"# 捕获异常信息try:print("grabImage -- stopPreview start")stopPreview()print("grabImage -- stopPreview end")# 全局变量，获取视频连接global capcap = cv2.VideoCapture(1)if False == cap.isOpened():logging.error("can't open camera")quit()else:logging.info("grabImage -- start to open camera")logging.info("grabImage -- open camera ok")# 分辨率设置 3072*2048（海康机器人工业相机 MV-CU060-10GM）cap.set(cv2.CAP_PROP_FRAME_WIDTH, 3072)cap.set(cv2.CAP_PROP_FRAME_HEIGHT, 2048)# 帧率配置cap.set(cv2.CAP_PROP_FPS, 15)   retgrab1 = cap.grab()if retgrab1 == True:logging.debug("grabImage -- Grab true")ret1, frame = cap.retrieve()ret1, jpeg = cv2.imencode('.jpg', frame)img_buff = jpeg.tobytes()# 对返回的图片进行 base64 格式转换img_base64 = "data:image/jpg;base64," + str(base64.b64encode(img_buff)).split("'")[1]code = 200msg = "success"stopPreview()except Exception as e:logging.error("generate error: %s" % str(e))return JsonResponse(code, msg, img_base64)# 获取base64图片
@app.route('/hik/openAndSave')
def openAndSave():code = 100000msg = "连接相机时发生错误"# 捕获异常信息try:logging.info("================= openAndSave start =====================")# 拍照之前，先停止预览stopPreview()logging.info("start to grab image, current_time: " + str(datetime.datetime.now()))# 全局变量，获取视频连接global capcap = cv2.VideoCapture(1)if False == cap.isOpened():logging.error("openAndSave -- can't open camera")quit()else:logging.info("openAndSave -- start to open camera")logging.info("openAndSave -- open camera ok")# 分辨率设置 3072*2048（海康机器人工业相机 MV-CU060-10GM）cap.set(cv2.CAP_PROP_FRAME_WIDTH, 3072)cap.set(cv2.CAP_PROP_FRAME_HEIGHT, 2048)# 帧率配置cap.set(cv2.CAP_PROP_FPS, 15)   retgrab1 = cap.grab()if retgrab1 == True:logging.debug("openAndSave -- Grab true")ret1, frame = cap.retrieve()ret1, jpeg = cv2.imencode('.jpg', frame)img_buff = jpeg.tobytes()# 对返回的图片进行 base64 格式转换img_base64 = "data:image/jpg;base64," + str(base64.b64encode(img_buff)).split("'")[1]code = 200msg = "success"stopPreview()logging.info("================= openAndSave end =====================")except Exception as e:logging.error("openAndSave error: %s" % str(e))return JsonResponse(code, msg, img_base64)@app.route('/hik/openAndSave2')
def openAndSave2():# 拍照之前，先停止预览stopPreview()logging.info("======================================")logging.info("start to grab image, current_time: " + str(datetime.datetime.now()))code = 100000msg = "连接相机时发生错误"# img_base64 = Nonetry:deviceList = MV_CC_DEVICE_INFO_LIST()tlayerType = MV_GIGE_DEVICE | MV_USB_DEVICE# ch:枚举设备 | en:Enum deviceret = MvCamera.MV_CC_EnumDevices(tlayerType, deviceList)if ret != 0:logging.error("enum devices fail! ret[0x%x]" % ret)sys.exit()if deviceList.nDeviceNum == 0:logging.error("find no device!")sys.exit()logging.info("find %d devices!" % deviceList.nDeviceNum)for i in range(0, deviceList.nDeviceNum):mvcc_dev_info = cast(deviceList.pDeviceInfo[i], POINTER(MV_CC_DEVICE_INFO)).contentsif mvcc_dev_info.nTLayerType == MV_GIGE_DEVICE:logging.info("\\ngige device: [%d]" % i)strModeName = ""for per in mvcc_dev_info.SpecialInfo.stGigEInfo.chModelName:strModeName = strModeName + chr(per)logging.info("device model name: %s" % strModeName)nip1 = ((mvcc_dev_info.SpecialInfo.stGigEInfo.nCurrentIp & 0xff000000) >> 24)nip2 = ((mvcc_dev_info.SpecialInfo.stGigEInfo.nCurrentIp & 0x00ff0000) >> 16)nip3 = ((mvcc_dev_info.SpecialInfo.stGigEInfo.nCurrentIp & 0x0000ff00) >> 8)nip4 = (mvcc_dev_info.SpecialInfo.stGigEInfo.nCurrentIp & 0x000000ff)logging.info("current ip: %d.%d.%d.%d\\n" % (nip1, nip2, nip3, nip4))elif mvcc_dev_info.nTLayerType == MV_USB_DEVICE:logging.info("\\nu3v device: [%d]" % i)strModeName = ""for per in mvcc_dev_info.SpecialInfo.stUsb3VInfo.chModelName:if per == 0:breakstrModeName = strModeName + chr(per)logging.info("device model name: %s" % strModeName)strSerialNumber = ""for per in mvcc_dev_info.SpecialInfo.stUsb3VInfo.chSerialNumber:if per == 0:breakstrSerialNumber = strSerialNumber + chr(per)logging.info("user serial number: %s" % strSerialNumber)nConnectionNum = 0if int(nConnectionNum) >= deviceList.nDeviceNum:logging.error("intput error!")sys.exit()# ch:创建相机实例 | en:Creat Camera Objectcam = MvCamera()# ch:选择设备并创建句柄 | en:Select device and create handlestDeviceList = cast(deviceList.pDeviceInfo[int(nConnectionNum)], POINTER(MV_CC_DEVICE_INFO)).contentsret = cam.MV_CC_CreateHandle(stDeviceList)if ret != 0:logging.error("create handle fail! ret[0x%x]" % ret)sys.exit()# ch:打开设备 | en:Open deviceret = cam.MV_CC_OpenDevice(MV_ACCESS_Exclusive, 0)if ret != 0:logging.error("open device fail! ret[0x%x]" % ret)sys.exit()# ch:探测网络最佳包大小(只对GigE相机有效) | en:Detection network optimal package size(It only works for the GigE camera)if stDeviceList.nTLayerType == MV_GIGE_DEVICE:nPacketSize = cam.MV_CC_GetOptimalPacketSize()if int(nPacketSize) > 0:ret = cam.MV_CC_SetIntValue("GevSCPSPacketSize", nPacketSize)if ret != 0:logging.warn("Warning: Set Packet Size fail! ret[0x%x]" % ret)else:logging.warn("Warning: Get Packet Size fail! ret[0x%x]" % nPacketSize)# ch:设置触发模式为off | en:Set trigger mode as offret = cam.MV_CC_SetEnumValue("TriggerMode", MV_TRIGGER_MODE_OFF)if ret != 0:logging.error("set trigger mode fail! ret[0x%x]" % ret)sys.exit()# ch:获取数据包大小 | en:Get payload sizestParam = MVCC_INTVALUE()memset(byref(stParam), 0, sizeof(MVCC_INTVALUE))ret = cam.MV_CC_GetIntValue("PayloadSize", stParam)if ret != 0:logging.error("get payload size fail! ret[0x%x]" % ret)sys.exit()nPayloadSize = stParam.nCurValue# ch:开始取流 | en:Start grab imageret = cam.MV_CC_StartGrabbing()if ret != 0:logging.error("start grabbing fail! ret[0x%x]" % ret)sys.exit()stDeviceList = MV_FRAME_OUT_INFO_EX()memset(byref(stDeviceList), 0, sizeof(stDeviceList))data_buf = (c_ubyte * nPayloadSize)()ret = cam.MV_CC_GetOneFrameTimeout(byref(data_buf), nPayloadSize, stDeviceList, 1000)if ret == 0:logging.info("get one frame: Width[%d], Height[%d], nFrameNum[%d]" % (stDeviceList.nWidth, stDeviceList.nHeight, stDeviceList.nFrameNum))nRGBSize = stDeviceList.nWidth * stDeviceList.nHeight * 3stConvertParam=MV_SAVE_IMAGE_PARAM_EX()stConvertParam.nWidth = stDeviceList.nWidthstConvertParam.nHeight = stDeviceList.nHeightstConvertParam.pData = data_bufstConvertParam.nDataLen = stDeviceList.nFrameLenstConvertParam.enPixelType = stDeviceList.enPixelTypestConvertParam.nImageLen = stConvertParam.nDataLenstConvertParam.nJpgQuality = 70stConvertParam.enImageType = MV_Image_JpegstConvertParam.pImageBuffer = (c_ubyte * nRGBSize)()stConvertParam.nBufferSize = nRGBSize# ret = cam.MV_CC_ConvertPixelType(stConvertParam)logging.info("nImageLen: %d" % stConvertParam.nImageLen)ret = cam.MV_CC_SaveImageEx2(stConvertParam)if ret != 0:logging.error("convert pixel fail ! ret[0x%x]" % ret)del data_bufsys.exit()#file_path = "AfterConvert_RGB2.jpg"#file_open = open(file_path, 'wb+')#file_open = open(file_path.encode('utf8'), 'wb')img_buff = (c_ubyte * stConvertParam.nImageLen)()cdll.msvcrt.memcpy(byref(img_buff), stConvertParam.pImageBuffer, stConvertParam.nImageLen)#file_open.write(img_buff)# 对返回的图片进行 base64 格式转换img_base64 = "data:image/jpg;base64," + str(base64.b64encode(img_buff)).split("'")[1]code = 200msg = "success"logging.info("Save Image succeed!")# ch:停止取流 | en:Stop grab imageret = cam.MV_CC_StopGrabbing()if ret != 0:logging.error("stop grabbing fail! ret[0x%x]" % ret)del data_bufsys.exit()# ch:关闭设备 | Close deviceret = cam.MV_CC_CloseDevice()if ret != 0:logging.error("close deivce fail! ret[0x%x]" % ret)del data_bufsys.exit()# ch:销毁句柄 | Destroy handleret = cam.MV_CC_DestroyHandle()if ret != 0:logging.error("destroy handle fail! ret[0x%x]" % ret)del data_bufsys.exit()del data_bufexcept Exception as e:logging.error("openAndSave error: %s" % str(e))# print("openAndSave finished, current_time: " + str(datetime.datetime.now()))  return JsonResponse(code, msg, img_base64)# 执行web服务, 端口号可自行修订
logging.info("start to run camera app, current_time: " + str(datetime.datetime.now()))
if __name__ == '__main__':try:app.run(host='0.0.0.0', port=65432, debug=True, threaded=True)except Exception as e:logging.error("app error: %s" % str(e))