Ubuntu 20.04 安装海康工业相机MVS python抽帧二次开发
1：安装MVS客户端+SDK
mv ~/下载/MVS_STD_GML_V2.1.2_221208.zip ~/Ai_project/package/
cd ~/Ai_project/package/
mkdir MVS
unzip MVS_STD_GML_V2.1.2_221208.zip -d ./MVS
cd MVS选择合适的安装包安装MVS
我这里使用deb的方式安装，方便卸载。tar和deb安装都可以
sudo dpkg -i MVS-2.1.2_x86_64_20221208.deb
# 删除用以下命令
sudo dpkg -r mvs
# 运行MVS
cd /opt/MVS/bin/
./MVS
2：运行示例
工业相机SDK的示例程序都在：/opt/MVS/Samples/64路径下
source ~/.bashrc
cd /opt/MVS/Samples/64/GrabImage
make
./GrabImage出现以下则表示安装成功，因为的没有连接工业相机，所以显示的是 Find No Devices
3：其他设置（开启网络巨帧）
# 查看网卡名
ifconfig
# 开启网络巨帧
sudo ifconfig enp3s0 mtu 9000
# 再次使用ifconfig查看，mtu等于9000，即设置成功
ifconfig
# 永久设置网卡开启巨帧
sudo vim /etc/network/interfaces
# 将sudo ifconfig enp3s0 mtu 9000写入文件
4：使用python做二次开发（opencv抽帧）
4.1：基础依赖准备
cp -r /opt/MVS/Samples/64/Python/MvImport/ ~/Ai_project/Liming/PaddleDetection/codes/Fetch/lib/修改MvImport下MvCameraControl_class.py文件
4.2：主运行代码
目录结构
config.py文件代码
frame_jump = 4
request_url = "http://192.168.X.X:X"
sleep_time = 300全部代码
# -*- coding:utf-8 -*-
"""
time:2022-09-01
开发用于功能测试的文件，工业相机的取流，加速等功能。输出图片
开发前请前往海康工业相机官网下载工业相机客户端：链接地址：https://www.hikrobotics.com/cn/machinevision/service/download?module=0
应用平台：ubuntu 20.04
"""
import numpy as np
import cv2
import sys
import os
import datetime
curPath = os.path.abspath(os.path.dirname(__file__))
# curPath = os.path.abspath(os.path.dirname(os.getcwd()))
rootPath = os.path.split(curPath)[0]
sys.path.insert(0, rootPath) # 建议程序前都添加此代码，指定相对路径
print("rootpath", rootPath)
# /home/ubuntu/Ai_project/Liming/PaddleDetection/codes/Fetch/util
# /home/ubuntu/Ai_project/Liming/PaddleDetection/codes/Fetch/lib/MvImport/MvCameraControl_class.py
from Fetch.lib.Python.MvImport.MvCameraControl_class import *
from Fetch.util import config as config
import requests
import time
import json
import base64
# 日志所需依赖
# 日志
import logging
from logging import handlers
# 创建全局变量
global alllog
global errorlog
# 类-日志
class Logger(object):
level_relations = {
'debug': logging.DEBUG,
'info': logging.INFO,
'warning': logging.WARNING,
'error': logging.ERROR,
'crit': logging.CRITICAL
} # 日志级别关系映射
def __init__(self, filename, level='info', when='D', backCount=3,
fmt='%(asctime)s - %(pathname)s[line:%(lineno)d] - %(levelname)s: %(message)s'):
self.logger = logging.getLogger(filename)
format_str = logging.Formatter(fmt) # 设置日志格式
self.logger.setLevel(self.level_relations.get(level)) # 设置日志级别
# sh = logging.StreamHandler()#往屏幕上输出
# sh.setFormatter(format_str) #设置屏幕上显示的格式
th = handlers.TimedRotatingFileHandler(filename=filename, when=when, backupCount=backCount,
encoding='utf-8') # 往文件里写入#指定间隔时间自动生成文件的处理器
# 实例化TimedRotatingFileHandler
# interval是时间间隔，backupCount是备份文件的个数，如果超过这个个数，就会自动删除，when是间隔的时间单位，单位有以下几种：
# S 秒
# M 分
# H 小时、
# D 天、
# W 每星期（interval==0时代表星期一）
# midnight 每天凌晨
th.setFormatter(format_str) # 设置文件里写入的格式
# self.logger.addHandler(sh) #把对象加到logger里
self.logger.addHandler(th)
if not os.path.exists(rootPath + '/Fetch'+ '/log'):
os.mkdir(rootPath + '/Fetch'+ '/log')
# 初始化日志模块
alllog = Logger(rootPath + '/Fetch'+ '/log/all.log', level='debug')
errorlog = Logger(rootPath + '/Fetch' + '/log/error.log', level='error')
# errorlog = Logger('../log/error.log', level='error')
def enum_devices(device = 0 , device_way = False):
"""
device = 0 枚举网口、USB口、未知设备、cameralink 设备，默认
device = 1 枚举GenTL设备
"""
if device_way == False:
if device == 0:
tlayerType = MV_GIGE_DEVICE | MV_USB_DEVICE | MV_UNKNOW_DEVICE | MV_1394_DEVICE | MV_CAMERALINK_DEVICE
deviceList = MV_CC_DEVICE_INFO_LIST()
# 枚举设备
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)
return deviceList
else:
pass
elif device_way == True:
pass
# 判断不同类型设备
def identify_different_devices(deviceList):
# 判断不同类型设备，并输出相关信息
for i in range(0, deviceList.nDeviceNum):
mvcc_dev_info = cast(deviceList.pDeviceInfo[i], POINTER(MV_CC_DEVICE_INFO)).contents
# 判断是否为网口相机
if mvcc_dev_info.nTLayerType == MV_GIGE_DEVICE:
print("\n网口设备序号: [%d]" % i)
# 获取设备名
strModeName = ""
for per in mvcc_dev_info.SpecialInfo.stGigEInfo.chModelName:
strModeName = strModeName + chr(per)
print("当前设备型号名: %s" % strModeName)
# 获取当前设备 IP 地址
nip1_1 = ((mvcc_dev_info.SpecialInfo.stGigEInfo.nCurrentIp & 0xff000000) >> 24)
nip1_2 = ((mvcc_dev_info.SpecialInfo.stGigEInfo.nCurrentIp & 0x00ff0000) >> 16)
nip1_3 = ((mvcc_dev_info.SpecialInfo.stGigEInfo.nCurrentIp & 0x0000ff00) >> 8)
nip1_4 = (mvcc_dev_info.SpecialInfo.stGigEInfo.nCurrentIp & 0x000000ff)
print("当前 ip 地址: %d.%d.%d.%d" % (nip1_1, nip1_2, nip1_3, nip1_4))
# 获取当前子网掩码
nip2_1 = ((mvcc_dev_info.SpecialInfo.stGigEInfo.nCurrentSubNetMask & 0xff000000) >> 24)
nip2_2 = ((mvcc_dev_info.SpecialInfo.stGigEInfo.nCurrentSubNetMask & 0x00ff0000) >> 16)
nip2_3 = ((mvcc_dev_info.SpecialInfo.stGigEInfo.nCurrentSubNetMask & 0x0000ff00) >> 8)
nip2_4 = (mvcc_dev_info.SpecialInfo.stGigEInfo.nCurrentSubNetMask & 0x000000ff)
print("当前子网掩码 : %d.%d.%d.%d" % (nip2_1, nip2_2, nip2_3, nip2_4))
# 获取当前网关
nip3_1 = ((mvcc_dev_info.SpecialInfo.stGigEInfo.nDefultGateWay & 0xff000000) >> 24)
nip3_2 = ((mvcc_dev_info.SpecialInfo.stGigEInfo.nDefultGateWay & 0x00ff0000) >> 16)
nip3_3 = ((mvcc_dev_info.SpecialInfo.stGigEInfo.nDefultGateWay & 0x0000ff00) >> 8)
nip3_4 = (mvcc_dev_info.SpecialInfo.stGigEInfo.nDefultGateWay & 0x000000ff)
print("当前网关 : %d.%d.%d.%d" % (nip3_1, nip3_2, nip3_3, nip3_4))
# 获取网口 IP 地址
nip4_1 = ((mvcc_dev_info.SpecialInfo.stGigEInfo.nNetExport & 0xff000000) >> 24)
nip4_2 = ((mvcc_dev_info.SpecialInfo.stGigEInfo.nNetExport & 0x00ff0000) >> 16)
nip4_3 = ((mvcc_dev_info.SpecialInfo.stGigEInfo.nNetExport & 0x0000ff00) >> 8)
nip4_4 = (mvcc_dev_info.SpecialInfo.stGigEInfo.nNetExport & 0x000000ff)
print("当前连接的网口 IP 地址 : %d.%d.%d.%d" % (nip4_1, nip4_2, nip4_3, nip4_4))
# 获取制造商名称
strmanufacturerName = ""
for per in mvcc_dev_info.SpecialInfo.stGigEInfo.chManufacturerName:
strmanufacturerName = strmanufacturerName + chr(per)
print("制造商名称 : %s" % strmanufacturerName)
# 获取设备版本
stdeviceversion = ""
for per in mvcc_dev_info.SpecialInfo.stGigEInfo.chDeviceVersion:
stdeviceversion = stdeviceversion + chr(per)
print("设备当前使用固件版本 : %s" % stdeviceversion)
# 获取制造商的具体信息
stManufacturerSpecificInfo = ""
for per in mvcc_dev_info.SpecialInfo.stGigEInfo.chManufacturerSpecificInfo:
stManufacturerSpecificInfo = stManufacturerSpecificInfo + chr(per)
print("设备制造商的具体信息 : %s" % stManufacturerSpecificInfo)
# 获取设备序列号
stSerialNumber = ""
for per in mvcc_dev_info.SpecialInfo.stGigEInfo.chSerialNumber:
stSerialNumber = stSerialNumber + chr(per)
print("设备序列号 : %s" % stSerialNumber)
# 获取用户自定义名称
stUserDefinedName = ""
for per in mvcc_dev_info.SpecialInfo.stGigEInfo.chUserDefinedName:
stUserDefinedName = stUserDefinedName + chr(per)
print("用户自定义名称 : %s" % stUserDefinedName)
# 判断是否为 USB 接口相机
elif mvcc_dev_info.nTLayerType == MV_USB_DEVICE:
print("\nU3V 设备序号e: [%d]" % i)
strModeName = ""
for per in mvcc_dev_info.SpecialInfo.stUsb3VInfo.chModelName:
if per == 0:
break
strModeName = strModeName + chr(per)
print("当前设备型号名 : %s" % strModeName)
strSerialNumber = ""
for per in mvcc_dev_info.SpecialInfo.stUsb3VInfo.chSerialNumber:
if per == 0:
break
strSerialNumber = strSerialNumber + chr(per)
print("当前设备序列号 : %s" % strSerialNumber)
# 获取制造商名称
strmanufacturerName = ""
for per in mvcc_dev_info.SpecialInfo.stUsb3VInfo.chVendorName:
strmanufacturerName = strmanufacturerName + chr(per)
print("制造商名称 : %s" % strmanufacturerName)
# 获取设备版本
stdeviceversion = ""
for per in mvcc_dev_info.SpecialInfo.stUsb3VInfo.chDeviceVersion:
stdeviceversion = stdeviceversion + chr(per)
print("设备当前使用固件版本 : %s" % stdeviceversion)
# 获取设备序列号
stSerialNumber = ""
for per in mvcc_dev_info.SpecialInfo.stUsb3VInfo.chSerialNumber:
stSerialNumber = stSerialNumber + chr(per)
print("设备序列号 : %s" % stSerialNumber)
# 获取用户自定义名称
stUserDefinedName = ""
for per in mvcc_dev_info.SpecialInfo.stUsb3VInfo.chUserDefinedName:
stUserDefinedName = stUserDefinedName + chr(per)
print("用户自定义名称 : %s" % stUserDefinedName)
# 获取设备 GUID
stDeviceGUID = ""
for per in mvcc_dev_info.SpecialInfo.stUsb3VInfo.chDeviceGUID:
stDeviceGUID = stDeviceGUID + chr(per)
print("设备GUID号 : %s" % stDeviceGUID)
# 获取设备的家族名称
stFamilyName = ""
for per in mvcc_dev_info.SpecialInfo.stUsb3VInfo.chFamilyName:
stFamilyName = stFamilyName + chr(per)
print("设备的家族名称 : %s" % stFamilyName)
# 判断是否为 1394-a/b 设备
elif mvcc_dev_info.nTLayerType == MV_1394_DEVICE:
print("\n1394-a/b device: [%d]" % i)
# 判断是否为 cameralink 设备
elif mvcc_dev_info.nTLayerType == MV_CAMERALINK_DEVICE:
print("\ncameralink device: [%d]" % i)
# 获取当前设备名
strModeName = ""
for per in mvcc_dev_info.SpecialInfo.stCamLInfo.chModelName:
if per == 0:
break
strModeName = strModeName + chr(per)
print("当前设备型号名 : %s" % strModeName)
# 获取当前设备序列号
strSerialNumber = ""
for per in mvcc_dev_info.SpecialInfo.stCamLInfo.chSerialNumber:
if per == 0:
break
strSerialNumber = strSerialNumber + chr(per)
print("当前设备序列号 : %s" % strSerialNumber)
# 获取制造商名称
strmanufacturerName = ""
for per in mvcc_dev_info.SpecialInfo.stCamLInfo.chVendorName:
strmanufacturerName = strmanufacturerName + chr(per)
print("制造商名称 : %s" % strmanufacturerName)
# 获取设备版本
stdeviceversion = ""
for per in mvcc_dev_info.SpecialInfo.stCamLInfo.chDeviceVersion:
stdeviceversion = stdeviceversion + chr(per)
print("设备当前使用固件版本 : %s" % stdeviceversion)
# 输入需要连接的相机的序号
def input_num_camera(deviceList):
nConnectionNum = input("please input the number of the device to connect:")
if int(nConnectionNum) >= deviceList.nDeviceNum:
print("intput error!")
sys.exit()
return nConnectionNum
# 创建相机实例并创建句柄,(设置日志路径)
def creat_camera(deviceList , nConnectionNum ,log = True , log_path = os.getcwd()):
"""
:param deviceList: 设备列表
:param nConnectionNum: 需要连接的设备序号，默认序号0
:param log: 是否创建日志
:param log_path: 日志保存路径
:return: 相机实例和设备列表
"""
# 创建相机实例
cam = MvCamera()
if int(nConnectionNum) >= deviceList.nDeviceNum:
print("nConnectionNum intput error!")
sys.exit()
# 选择设备并创建句柄
stDeviceList = cast(deviceList.pDeviceInfo[int(nConnectionNum)], POINTER(MV_CC_DEVICE_INFO)).contents
if log == True:
ret = cam.MV_CC_SetSDKLogPath(log_path)
print(log_path)
if ret != 0:
print("set Log path fail! ret[0x%x]" % ret)
sys.exit()
# 创建句柄,生成日志
ret = cam.MV_CC_CreateHandle(stDeviceList)
if ret != 0:
print("create handle fail! ret[0x%x]" % ret)
sys.exit()
elif log == False:
# 创建句柄,不生成日志，返回0创建句柄成功
ret = cam.MV_CC_CreateHandleWithoutLog(stDeviceList)
print("ret",ret)
if ret != 0:
print("create handle fail! ret[0x%x]" % ret)
sys.exit()
return cam, stDeviceList
# 打开设备
def open_device(cam):
# ch:打开设备 | en:Open device 返回0成功
ret = cam.MV_CC_OpenDevice(MV_ACCESS_Exclusive, 0)
if ret != 0:
print("open device fail! ret[0x%x]" % ret)
sys.exit()
# 获取各种类型节点参数
def get_Value(cam, param_type="int_value", node_name="PayloadSize"):
"""
:param cam: 相机实例
:param_type: 获取节点值得类型
:param node_name: 节点名 可选 int 、float 、enum 、bool 、string 型节点
:return: 节点值
"""
if param_type == "int_value":
stParam = MVCC_INTVALUE_EX()
memset(byref(stParam), 0, sizeof(MVCC_INTVALUE_EX))
ret = cam.MV_CC_GetIntValueEx(node_name, stParam)
if ret != 0:
print("获取 int 型数据 %s 失败 ! 报错码 ret[0x%x]" % (node_name, ret))
sys.exit()
int_value = stParam.nCurValue
return int_value
elif param_type == "float_value":
stFloatValue = MVCC_FLOATVALUE()
memset(byref(stFloatValue), 0, sizeof(MVCC_FLOATVALUE))
ret = cam.MV_CC_GetFloatValue(node_name, stFloatValue)
if ret != 0:
print("获取 float 型数据 %s 失败 ! 报错码 ret[0x%x]" % (node_name, ret))
sys.exit()
float_value = stFloatValue.fCurValue
return float_value
elif param_type == "enum_value":
stEnumValue = MVCC_ENUMVALUE()
memset(byref(stEnumValue), 0, sizeof(MVCC_ENUMVALUE))
ret = cam.MV_CC_GetEnumValue(node_name, stEnumValue)
if ret != 0:
print("获取 enum 型数据 %s 失败 ! 报错码 ret[0x%x]" % (node_name, ret))
sys.exit()
enum_value = stEnumValue.nCurValue
return enum_value
elif param_type == "bool_value":
stBool = c_bool(False)
ret = cam.MV_CC_GetBoolValue(node_name, stBool)
if ret != 0:
print("获取 bool 型数据 %s 失败 ! 报错码 ret[0x%x]" % (node_name, ret))
sys.exit()
return stBool.value
elif param_type == "string_value":
stStringValue = MVCC_STRINGVALUE()
memset(byref(stStringValue), 0, sizeof(MVCC_STRINGVALUE))
ret = cam.MV_CC_GetStringValue(node_name, stStringValue)
if ret != 0:
print("获取 string 型数据 %s 失败 ! 报错码 ret[0x%x]" % (node_name, ret))
sys.exit()
string_value = stStringValue.chCurValue
return string_value
# 设置各种类型节点参数
def set_Value(cam, param_type="int_value", node_name="PayloadSize", node_value=None):
"""
:param cam: 相机实例
:param param_type: 需要设置的节点值得类型
int:
float:
enum: 参考于客户端中该选项的 Enum Entry Value 值即可
bool: 对应 0 为关，1 为开
string: 输入值为数字或者英文字符，不能为汉字
:param node_name: 需要设置的节点名
:param node_value: 设置给节点的值
:return:
"""
if param_type == "int_value":
stParam = int(node_value)
ret = cam.MV_CC_SetIntValueEx(node_name, stParam)
if ret != 0:
print("设置 int 型数据节点 %s 失败 ! 报错码 ret[0x%x]" % (node_name, ret))
sys.exit()
print("设置 int 型数据节点 %s 成功 ！设置值为 %s !" % (node_name, node_value))
elif param_type == "float_value":
stFloatValue = float(node_value)
ret = cam.MV_CC_SetFloatValue(node_name, stFloatValue)
if ret != 0:
print("设置 float 型数据节点 %s 失败 ! 报错码 ret[0x%x]" % (node_name, ret))
sys.exit()
print("设置 float 型数据节点 %s 成功 ！设置值为 %s !" % (node_name, node_value))
elif param_type == "enum_value":
stEnumValue = node_value
ret = cam.MV_CC_SetEnumValue(node_name, stEnumValue)
if ret != 0:
print("设置 enum 型数据节点 %s 失败 ! 报错码 ret[0x%x]" % (node_name, ret))
sys.exit()
print("设置 enum 型数据节点 %s 成功 ！设置值为 %s !" % (node_name, node_value))
elif param_type == "bool_value":
ret = cam.MV_CC_SetBoolValue(node_name, node_value)
if ret != 0:
print("设置 bool 型数据节点 %s 失败 ！ 报错码 ret[0x%x]" % (node_name, ret))
sys.exit()
print("设置 bool 型数据节点 %s 成功 ！设置值为 %s !" % (node_name, node_value))
elif param_type == "string_value":
stStringValue = str(node_value)
ret = cam.MV_CC_SetStringValue(node_name, stStringValue)
if ret != 0:
print("设置 string 型数据节点 %s 失败 ! 报错码 ret[0x%x]" % (node_name, ret))
sys.exit()
print("设置 string 型数据节点 %s 成功 ！设置值为 %s !" % (node_name, node_value))
def access_get_image(cam, active_way="getImagebuffer"):
"""
:param cam: 相机实例
:active_way:主动取流方式的不同方法 分别是（getImagebuffer）（getoneframetimeout）
:return:
"""
if active_way == "getImagebuffer":
# 图像结构体，输出图像地址及图像信息（图像指针地址、图像信息（stFrameInfo）、预留）
stOutFrame = MV_FRAME_OUT()
# stOutFrame = MV_FRAME_OUT_INFO_EX() # 初始化变量 采用C的方式
memset(byref(stOutFrame), 0, sizeof(stOutFrame))
init_num = 0
while True:
init_num += 1
ret = cam.MV_CC_GetImageBuffer(stOutFrame, 1000) # 输入INFINITE时表示无限等待，直到收到一帧数据或者停止取流
# 如果指针地址不为空且有图像返回，图片像素格式为17301505
print("pBufAddr",stOutFrame.pBufAddr)
print("ret",ret)
print("enPixelType",stOutFrame.stFrameInfo.enPixelType)
if None != stOutFrame.pBufAddr and 0 == ret and stOutFrame.stFrameInfo.enPixelType == 17301505: #17301505为黑白图片 mono
print("get one frame: Width[%d], Height[%d], nFrameNum[%d]" % (
stOutFrame.stFrameInfo.nWidth, stOutFrame.stFrameInfo.nHeight, stOutFrame.stFrameInfo.nFrameNum))
pData = (c_ubyte * stOutFrame.stFrameInfo.nWidth * stOutFrame.stFrameInfo.nHeight)()
cdll.msvcrt.memcpy(byref(pData), stOutFrame.pBufAddr,
stOutFrame.stFrameInfo.nWidth * stOutFrame.stFrameInfo.nHeight)
data = np.frombuffer(pData, count=int(stOutFrame.stFrameInfo.nWidth * stOutFrame.stFrameInfo.nHeight),
dtype=np.uint8)
image_control(init_num, data=data, stFrameInfo=stOutFrame.stFrameInfo)
elif None != stOutFrame.pBufAddr and 0 == ret and stOutFrame.stFrameInfo.enPixelType == 17301514: # 17301514为Bater图像
print("get one frame: Width[%d], Height[%d], nFrameNum[%d]" % (
stOutFrame.stFrameInfo.nWidth, stOutFrame.stFrameInfo.nHeight, stOutFrame.stFrameInfo.nFrameNum))
pData = (c_ubyte * stOutFrame.stFrameInfo.nWidth * stOutFrame.stFrameInfo.nHeight)()
cdll.msvcrt.memcpy(byref(pData), stOutFrame.pBufAddr,
stOutFrame.stFrameInfo.nWidth * stOutFrame.stFrameInfo.nHeight)
data = np.frombuffer(pData, count=int(stOutFrame.stFrameInfo.nWidth * stOutFrame.stFrameInfo.nHeight),
dtype=np.uint8)
image_control(init_num, data=data, stFrameInfo=stOutFrame.stFrameInfo)
elif None != stOutFrame.pBufAddr and 0 == ret and stOutFrame.stFrameInfo.enPixelType == 35127316: #35127316原始图像通道是RGB的（需要在MVS中设置图像格式为RGB）
print("get one frame: Width[%d], Height[%d], nFrameNum[%d]" % (
stOutFrame.stFrameInfo.nWidth, stOutFrame.stFrameInfo.nHeight, stOutFrame.stFrameInfo.nFrameNum))
pData = (c_ubyte * stOutFrame.stFrameInfo.nWidth * stOutFrame.stFrameInfo.nHeight * 3)()
cdll.msvcrt.memcpy(byref(pData), stOutFrame.pBufAddr,
stOutFrame.stFrameInfo.nWidth * stOutFrame.stFrameInfo.nHeight * 3)
data = np.frombuffer(pData,
count=int(stOutFrame.stFrameInfo.nWidth * stOutFrame.stFrameInfo.nHeight * 3),
dtype=np.uint8)
image_control(init_num, data=data, stFrameInfo=stOutFrame.stFrameInfo) # RGB图像调用
elif None != stOutFrame.pBufAddr and 0 == ret and stOutFrame.stFrameInfo.enPixelType == 34603039: # 原始34603039 为YUV图像
print("get one frame: Width[%d], Height[%d], nFrameNum[%d]" % (
stOutFrame.stFrameInfo.nWidth, stOutFrame.stFrameInfo.nHeight, stOutFrame.stFrameInfo.nFrameNum))
pData = (c_ubyte * stOutFrame.stFrameInfo.nWidth * stOutFrame.stFrameInfo.nHeight * 2)()
cdll.msvcrt.memcpy(byref(pData), stOutFrame.pBufAddr,
stOutFrame.stFrameInfo.nWidth * stOutFrame.stFrameInfo.nHeight * 2)
data = np.frombuffer(pData,
count=int(stOutFrame.stFrameInfo.nWidth * stOutFrame.stFrameInfo.nHeight * 2),
dtype=np.uint8)
image_control(init_num, data=data, stFrameInfo=stOutFrame.stFrameInfo)
else:
print("no data[0x%x]" % ret)
# 权限释放
nRet = cam.MV_CC_FreeImageBuffer(stOutFrame)
elif active_way == "getoneframetimeout":
# work_thread_rgb82bgr(cam=0, pData=0, nDataSize=0):
# 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
pData = (c_ubyte * nPayloadSize)()
nDataSize = nPayloadSize
stFrameInfo = MV_FRAME_OUT_INFO_EX()
memset(byref(stFrameInfo), 0, sizeof(stFrameInfo))
init_num = 0
while True:
init_num += 1
time_flag = flag_time()
if time_flag is False:
print("未在抓拍时间段")
continue
ret = cam.MV_CC_GetOneFrameTimeout(pData, nDataSize, stFrameInfo, 1000)
if ret == 0:
print("get one frame: Width[%d], Height[%d], PixelType[0x%x], nFrameNum[%d]" % (
stFrameInfo.nWidth, stFrameInfo.nHeight, stFrameInfo.enPixelType, stFrameInfo.nFrameNum))
print('----', stFrameInfo.enPixelType)
# if stFrameInfo.enPixelType=='PixelType_Gvsp_RGB8_Packed':
data = np.asarray(pData)
# temp = temp.reshape((img_h, img_w, img_c))
# data = cv2.cvtColor(temp, cv2.COLOR_BGR2RGB)
image_control(init_num, data=data, stFrameInfo=stFrameInfo) # ubuntu 主动取图
# cv2.namedWindow("temp", cv2.WINDOW_NORMAL)
# cv2.imshow('temp', temp)
# cv2.waitKey(1)
# else:
# print("图像输出格式不是BGR8,请先使用MVS软件设置相机默认输出图像格式为BGR8....")
else:
print("no data[0x%x]" % ret)
errorlog.logger.error("no data[0x%x]" % ret)
break
# raise RuntimeError('ret')
# # 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 pData
# sys.exit()
# 权限释放
# nRet = cam.MV_CC_FreeImageBuffer(stParam)
cv2.destroyAllWindows() # 释放所有窗口
# 显示图像
def image_show(image):
# image = cv2.resize(image, (600, 400), interpolation=cv2.INTER_AREA) # 对图片进行裁剪
cv2.imshow('fgmask', image)
cv2.waitKey(1)
# 需要显示的图像数据转换
def image_control(init_num, data, stFrameInfo):
if stFrameInfo.enPixelType == 17301505: # 17301505为黑白图片 mono
image = data.reshape((stFrameInfo.nHeight, stFrameInfo.nWidth))
image_show(image=image)
elif stFrameInfo.enPixelType == 17301514: # 17301514为Bater图像
data = data.reshape(stFrameInfo.nHeight, stFrameInfo.nWidth, -1)
image = cv2.cvtColor(data, cv2.COLOR_BAYER_GB2RGB)
image_show(image=image)
elif stFrameInfo.enPixelType == 35127316: # 35127316原始图像通道是RGB的,设置RGB8
data = data.reshape(stFrameInfo.nHeight, stFrameInfo.nWidth, -1)
print("data.shape", data.shape)
image = cv2.cvtColor(data, cv2.COLOR_RGB2BGR)
# image_show(image=image)
if init_num % config.frame_jump == 0: # 满足抽帧策略，则将图片传输给算法进行解析或存储
call_post_image(image, image) # 将图片传输给后台进行检测
elif stFrameInfo.enPixelType == 34603039: # 34603039 为YUV图像
data = data.reshape(stFrameInfo.nHeight, stFrameInfo.nWidth, -1)
image = cv2.cvtColor(data, cv2.COLOR_YUV2BGR_Y422)
image_show(image=image)
return image
# 开启取流并获取数据包大小
def start_grab_and_get_data_size(cam):
ret = cam.MV_CC_StartGrabbing()
if ret != 0:
print("开始取流失败! ret[0x%x]" % ret)
sys.exit()
else:
print("已开启取流")
# 获取数据包大小
stParam = MVCC_INTVALUE_EX()
memset(byref(stParam), 0, sizeof(MVCC_INTVALUE_EX))
# ret = cam.MV_CC_GetIntValueEx("PayloadSize", stParam)
# ret = cam.MV_CC_GetIntValueEx("Width", stParam)
# if ret != 0:
# print("get payload size fail! ret[0x%x]" % ret)
# sys.exit()
nPayloadSize = stParam.nCurValue
return nPayloadSize
# 关闭设备与销毁句柄
def close_and_destroy_device(cam , data_buf=None):
# 停止取流
ret = cam.MV_CC_StopGrabbing()
if ret != 0:
print("stop grabbing fail! ret[0x%x]" % ret)
sys.exit()
# 关闭设备
ret = cam.MV_CC_CloseDevice()
if ret != 0:
print("close deivce fail! ret[0x%x]" % ret)
del data_buf
sys.exit()
# 销毁句柄
ret = cam.MV_CC_DestroyHandle()
if ret != 0:
print("destroy handle fail! ret[0x%x]" % ret)
del data_buf
sys.exit()
del data_buf
def call_post_image(image, image1):
"""
将图片编码传输给算法
:return:
"""
request_url = config.request_url # 图片接收地址
# params = {"alarm_content": "碧波路518号"}
timestamp = time.time()
# 将图片转为base64
# 将cv读取的ndarray转为base64
img_str = cv2.imencode('.jpg', image)[1].tostring() # 将图片编码成流数据，放到内存缓存中，然后转化成string格式
img_b64encode = base64.b64encode(img_str) # 编码成base64 bytes
# 将base64转为字符串
img_b64encode = img_b64encode.decode('utf-8')
img_str1 = cv2.imencode('.jpg', image1)[1].tostring() # 将图片编码成流数据，放到内存缓存中，然后转化成string格式
img_b64encode1 = base64.b64encode(img_str1) # 编码成base64 bytes
# 将base64转为字符串
img_b64encode1 = img_b64encode1.decode('utf-8')
params = {
"constructionId":"1333",
"deviceId":"20220915",
"timestamp": timestamp,
"content": "",
"image": img_b64encode,
# "image1": img_b64encode1
# "ceshi":111
}
# access_token = '24.60fa5da981283c32148b5ca38e73f45e.2592000.1593582788.282335-20169217'
print("准备发送物体检测")
headers = {'Content-Type': 'application/json', "Connection": "close"}
# ka_body_start = time.time()
response = requests.post(request_url, data=json.dumps(params), headers=headers, timeout=10)
time.sleep(0.5)
print("res_json", response.json())
def flag_time():
time_flag = False
# 范围时间
start_time = datetime.datetime.strptime(str(datetime.datetime.now().date()) + '7:30', '%Y-%m-%d%H:%M')
# 开始时间
print(start_time)
end_time = datetime.datetime.strptime(str(datetime.datetime.now().date()) + '19:30', '%Y-%m-%d%H:%M')
# 结束时间
print(end_time)
# 当前时间
now_time = datetime.datetime.now()
print("now_time", now_time)
# 方法一：
# 判断当前时间是否在范围时间内
if start_time < now_time < end_time:
time_flag = True
return time_flag
def main():
try:
err_flag = False
print(os.getcwd())
# 枚举设备
deviceList = enum_devices(device=0, device_way=False)
# 判断不同类型设备
identify_different_devices(deviceList)
# 输入需要被连接的设备
# nConnectionNum = input_num_camera(deviceList)
nConnectionNum = 0
# 创建相机实例并创建句柄,(设置日志路径)
cam, stDeviceList = creat_camera(deviceList, nConnectionNum, log=False)
# decide_divice_on_line(cam) ==============
# 打开设备
open_device(cam)
# # 设置缓存节点个数
# set_image_Node_num(cam, Num=10)
# # 设置取流策略
# set_grab_strategy(cam, grabstrategy=2, outputqueuesize=10)
# 设置设备的一些参数
# set_Value(cam, param_type="bool_value", node_name="TriggerCacheEnable", node_value=1)
# 获取设备的一些参数
# get_value = get_Value(cam , param_type = "int_value" , node_name = "PayloadSize")
# stdcall = input("回调方式取流显示请输入 0 主动取流方式显示请输入 1:")
# if int(stdcall) == 0:
# # 回调方式抓取图像
# call_back_get_image(cam)
# # 开启设备取流
# start_grab_and_get_data_size(cam)
# # 当使用 回调取流时，需要在此处添加
# print("press a key to stop grabbing.")
# msvcrt.getch()
# # 关闭设备与销毁句柄
# close_and_destroy_device(cam)
# elif int(stdcall) == 1:
# 开启设备取流
start_grab_and_get_data_size(cam)
# 主动取流方式抓取图像
access_get_image(cam, active_way="getoneframetimeout")
# # 关闭设备与销毁句柄
# close_and_destroy_device(cam)
except BaseException as base:
# 关闭设备与销毁句柄
close_and_destroy_device(cam)
# 把错误记录至log文件中
errorlog.logger.error(base)
err_flag = False
return err_flag
if __name__ == '__main__':
# time_flag = flag_time()
# print(time_flag)
# exit()
while True:
try:
main()
except BaseException as base:
pass
sleep_time = config.sleep_time
while True:
time.sleep(1)
minute = int(sleep_time / 60)
secend = sleep_time - (minute * 60)
print("%d分%d秒后重新连接摄像头" % (minute, secend))
sleep_time -= 1
if minute == 0 and secend == 0:
break
# deviceList = enum_devices()
# identify_different_devices(deviceList)
# input_num_camera(deviceList)
# cam, stDeviceList = creat_camera(deviceList, nConnectionNum=0, log=False, log_path=os.getcwd())
# open_device(cam)
# # ret = get_Value(cam, param_type="int_value", node_name="PayloadSize")
# # ret = set_Value(cam, param_type="int_value", node_name="PayloadSize", node_value = None)
#
# # print(deviceList)
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