最近在使用海康的工业相机，想到用python调用海康的相机，但是相机打开的画面是黑白，求求帮忙找找是哪的问题，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("D:/pycharm/MvImport")
from MvImport.MvCameraControl_class import *
from MvImport.Ui_MainWindow import *
from MvImport.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() # 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 handle
stDeviceList = cast(self.deviceList.pDeviceInfo[int(camid)], POINTER(MV_CC_DEVICE_INFO)).contents
ret = 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 device
ret = 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 off
ret = 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 size
stParam = 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 image
ret = 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 image
ret = self.cam.MV_CC_StopGrabbing()
if ret != 0:
print("stop grabbing fail! ret[0x%x]" % ret)
sys.exit()
# ch:关闭设备 | Close device
ret = self.cam.MV_CC_CloseDevice()
if ret != 0:
print("close deivce fail! ret[0x%x]" % ret)
# ch:销毁句柄 | Destroy handle
ret = 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（6291456，）
print(QIm.shape)
QIm = QIm.reshape((2048, 3072, 1)) # 根据自己分辨率进行转化
# print(temp)
# print(temp.shape)
print(QIm.shape)
print(QIm.dtype)
#print("After color conversion, pixel values in RGB channels:", QIm[0, 0])
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
print("After color conversion, pixel values in RGB channels:", QIm[0, 0])
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'):
# break
ret = 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 pData
break
# 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 device
ret = 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)).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)
self.camSelect.addItem(strModeName, i) # 写入设备列表。
# def pushbutton_function(self):
# # do some things
# Img = cv2.imread('JP1.bmp') # 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_())
