Python 调用海康机器人工业相机

一、前期准备

python环境搭建

安装MVS软件

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

二、Python 代码实现

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 cv2import sysimport copyimport msvcrtimport 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 device    ret = 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)).contents        if 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:                    break                strModeName = strModeName + chr(per)            print ("device model name: %s" % strModeName)            strSerialNumber = ""            for per in mvcc_dev_info.SpecialInfo.stUsb3VInfo.chSerialNumber:                if per == 0:                    break                strSerialNumber = strSerialNumber + chr(per)            print ("user serial number: %s" % strSerialNumber)    nConnectionNum = 0    if int(nConnectionNum) >= deviceList.nDeviceNum:        print ("intput error!")        sys.exit()    # ch:创建相机实例 | en:Creat Camera Object    cam = MvCamera()    # ch:选择设备并创建句柄 | en:Select device and create handle    stDeviceList = cast(deviceList.pDeviceInfo[int(nConnectionNum)], POINTER(MV_CC_DEVICE_INFO)).contents    ret = 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 device    ret = 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 off    ret = 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 size    stParam = 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 image    ret = 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 * 3        stConvertParam=MV_SAVE_IMAGE_PARAM_EX()        stConvertParam.nWidth = stDeviceList.nWidth        stConvertParam.nHeight = stDeviceList.nHeight        stConvertParam.pData = data_buf        stConvertParam.nDataLen = stDeviceList.nFrameLen        stConvertParam.enPixelType = stDeviceList.enPixelType        stConvertParam.nImageLen = stConvertParam.nDataLen        stConvertParam.nJpgQuality = 70        stConvertParam.enImageType = MV_Image_Jpeg        stConvertParam.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_buf            sys.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 image    ret = cam.MV_CC_StopGrabbing()    if ret != 0:        print ("stop grabbing fail! ret[0x%x]" % ret)        del data_buf        sys.exit()    # ch:关闭设备 | Close device    ret = cam.MV_CC_CloseDevice()    if ret != 0:        print ("close deivce fail! ret[0x%x]" % ret)        del data_buf        sys.exit()    # ch:销毁句柄 | Destroy handle    ret = cam.MV_CC_DestroyHandle()    if ret != 0:        print ("destroy handle fail! ret[0x%x]" % ret)        del data_buf        sys.exit()    del data_buf

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 cv2from PyQt5 import QtCore, QtGui, QtWidgetsfrom PyQt5.QtCore import pyqtSignalfrom 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 sysimport threadingimport msvcrtfrom 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 Object    cam = 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 geometry        desktop_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(

来源地址：https://blog.csdn.net/john_and_jane/article/details/130747233