1. Download the MVS client
Haikang Robot-Machine Vision-Download Center
2. Unzip and install the MVS client
3. Find the MVS sample code (the code is in the installation location of MVS)
Industrial cameras only allow a single connection, which means that if MVS is connected to the camera, the python code cannot obtain data. At this time, you mustquit the MVS client.
4. Use Pycharm to open the Python code sample folder
If you feel uncomfortable being famous, just copy the five files in the MvImport folder to the BasicDemo folder.
A warning appears here for the blogger: The camera parameters cannot be obtained. Just ignore it.
5. Obtain camera images
Install opencv
pip3 install opencv-python -i https://pypi.tuna.tsinghua.edu.cn/simpleCamera tool class (readers copy directly) HKCamera_class.py
import sys
from ctypes import *
import numpy as np
import cv2
# 这里要根据个人情况进行修改 TODO
sys.path.append("E:\MVS_STD_4.2.1_230921\MVS\Development\Samples\Python\MvImport") # 打开MVS中的MvImport文件,对于不同系统打开的文件路径跟随实际文件路径变化即可
from MvCameraControl_class import * # 调用了MvCameraControl_class.py文件
class HKCamera():
def __init__(self, CameraIdx=0, log_path=None, CameraIp=""):
self.name = "HKCamera"
deviceList = self.enum_devices()
strModeName = ""
TargetCamera = None
for i in range(0, deviceList.nDeviceNum):
mvcc_dev_info = cast(deviceList.pDeviceInfo[i], POINTER(MV_CC_DEVICE_INFO)).contents
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)
Devip = "%d.%d.%d.%d" % (nip1, nip2, nip3, nip4)
if Devip == CameraIp:
TargetCamera = i
self.camera = self.open_camera(deviceList=deviceList, CameraIdx=TargetCamera, log_path=log_path)
# self.start_camera()
def __del__(self):
if self.camera is None:
return
# 停止取流
# ret = self.camera.MV_CC_StopGrabbing()
# if ret != 0:
# raise Exception("stop grabbing fail! ret[0x%x]" % ret)
# 关闭设备
ret = self.camera.MV_CC_CloseDevice()
if ret != 0:
raise Exception("close deivce fail! ret[0x%x]" % ret)
# 销毁句柄
ret = self.camera.MV_CC_DestroyHandle()
if ret != 0:
raise Exception("destroy handle fail! ret[0x%x]" % ret)
@staticmethod
def enum_devices(device=0, device_way=False):
"""
device = 0 枚举网口、USB口、未知设备、cameralink 设备
device = 1 枚举GenTL设备
"""
if device_way == False:
if device == 0:
cameraType = 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(cameraType, deviceList)
if ret != 0:
raise Exception("enum devices fail! ret[0x%x]" % ret)
return deviceList
else:
pass
elif device_way == True:
pass
def open_camera(self, deviceList, CameraIdx, log_path):
# generate a camera instance
camera = MvCamera()
# 选择设备并创建句柄
stDeviceList = cast(deviceList.pDeviceInfo[CameraIdx], POINTER(MV_CC_DEVICE_INFO)).contents
if log_path is not None:
ret = self.camera.MV_CC_SetSDKLogPath(log_path)
if ret != 0:
raise Exception("set Log path fail! ret[0x%x]" % ret)
# 创建句柄,生成日志
ret = camera.MV_CC_CreateHandle(stDeviceList)
if ret != 0:
raise Exception("create handle fail! ret[0x%x]" % ret)
else:
# 创建句柄,不生成日志
ret = camera.MV_CC_CreateHandleWithoutLog(stDeviceList)
if ret != 0:
raise Exception("create handle fail! ret[0x%x]" % ret)
# 打开相机
ret = camera.MV_CC_OpenDevice(MV_ACCESS_Exclusive, 0)
if ret != 0:
raise Exception("open device fail! ret[0x%x]" % ret)
return camera
def start_camera(self):
stParam = MVCC_INTVALUE()
memset(byref(stParam), 0, sizeof(MVCC_INTVALUE))
ret = self.camera.MV_CC_GetIntValue("PayloadSize", stParam)
if ret != 0:
raise Exception("get payload size fail! ret[0x%x]" % ret)
self.nDataSize = stParam.nCurValue
self.pData = (c_ubyte * self.nDataSize)()
self.stFrameInfo = MV_FRAME_OUT_INFO_EX()
memset(byref(self.stFrameInfo), 0, sizeof(self.stFrameInfo))
self.camera.MV_CC_StartGrabbing()
def get_Value(self, param_type, node_name):
"""
: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 = self.camera.MV_CC_GetIntValueEx(node_name, stParam)
if ret != 0:
raise Exception("获取 int 型数据 %s 失败 ! 报错码 ret[0x%x]" % (node_name, ret))
return stParam.nCurValue
elif param_type == "float_value":
stFloatValue = MVCC_FLOATVALUE()
memset(byref(stFloatValue), 0, sizeof(MVCC_FLOATVALUE))
ret = self.camera.MV_CC_GetFloatValue(node_name, stFloatValue)
if ret != 0:
raise Exception("获取 float 型数据 %s 失败 ! 报错码 ret[0x%x]" % (node_name, ret))
return stFloatValue.fCurValue
elif param_type == "enum_value":
stEnumValue = MVCC_ENUMVALUE()
memset(byref(stEnumValue), 0, sizeof(MVCC_ENUMVALUE))
ret = self.camera.MV_CC_GetEnumValue(node_name, stEnumValue)
if ret != 0:
raise Exception("获取 enum 型数据 %s 失败 ! 报错码 ret[0x%x]" % (node_name, ret))
return stEnumValue.nCurValue
elif param_type == "bool_value":
stBool = c_bool(False)
ret = self.camera.MV_CC_GetBoolValue(node_name, stBool)
if ret != 0:
raise Exception("获取 bool 型数据 %s 失败 ! 报错码 ret[0x%x]" % (node_name, ret))
return stBool.value
elif param_type == "string_value":
stStringValue = MVCC_STRINGVALUE()
memset(byref(stStringValue), 0, sizeof(MVCC_STRINGVALUE))
ret = self.camera.MV_CC_GetStringValue(node_name, stStringValue)
if ret != 0:
raise Exception("获取 string 型数据 %s 失败 ! 报错码 ret[0x%x]" % (node_name, ret))
return stStringValue.chCurValue
else:
return None
def set_Value(self, param_type, node_name, node_value):
"""
: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":
ret = self.camera.MV_CC_SetIntValueEx(node_name, int(node_value))
if ret != 0:
raise Exception("设置 int 型数据节点 %s 失败 ! 报错码 ret[0x%x]" % (node_name, ret))
elif param_type == "float_value":
ret = self.camera.MV_CC_SetFloatValue(node_name, float(node_value))
if ret != 0:
raise Exception("设置 float 型数据节点 %s 失败 ! 报错码 ret[0x%x]" % (node_name, ret))
elif param_type == "enum_value":
ret = self.camera.MV_CC_SetEnumValueByString(node_name, node_value)
if ret != 0:
raise Exception("设置 enum 型数据节点 %s 失败 ! 报错码 ret[0x%x]" % (node_name, ret))
elif param_type == "bool_value":
ret = self.camera.MV_CC_SetBoolValue(node_name, node_value)
if ret != 0:
raise Exception("设置 bool 型数据节点 %s 失败 ！ 报错码 ret[0x%x]" % (node_name, ret))
elif param_type == "string_value":
ret = self.camera.MV_CC_SetStringValue(node_name, str(node_value))
if ret != 0:
raise Exception("设置 string 型数据节点 %s 失败 ! 报错码 ret[0x%x]" % (node_name, ret))
def set_exposure_time(self, exp_time):
self.set_Value(param_type="float_value", node_name="ExposureTime", node_value=exp_time)
def get_exposure_time(self):
return self.get_Value(param_type="float_value", node_name="ExposureTime")
def get_image(self, width=None):
"""
: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:
"""
# ret= self.camera.MV_CC_SaveImageEx2()
ret = self.camera.MV_CC_GetOneFrameTimeout(self.pData, self.nDataSize, self.stFrameInfo, 5000)
if ret == 0:
image = np.asarray(self.pData).reshape((self.stFrameInfo.nHeight, self.stFrameInfo.nWidth, 3))
# if width is not None:
# image = cv2.resize(image, (width, int(self.stFrameInfo.nHeight * width / self.stFrameInfo.nWidth)))
# pass
image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
return image
else:
return None
def show_runtime_info(self, image):
exp_time = self.get_exposure_time()
cv2.putText(image, ("exposure time = %1.1fms" % (exp_time * 0.001)), (20, 50), cv2.FONT_HERSHEY_SIMPLEX, 0.5,
255, 1)
Get photo data
Main.py
import os
import cv2
from numpy import ndarray
from HKCamera_class import HKCamera
if __name__ == '__main__':
camera = HKCamera(CameraIp='192.168.1.191')
# 对摄像头配置进行设置
try:
camera.set_Value(param_type="enum_value", node_name="PixelFormat",
node_value='RGB8Packed')
camera.set_Value(param_type="enum_value", node_name="ExposureAuto",
node_value='Off')
camera.set_Value(param_type="float_value", node_name="ExposureTime",
node_value='400')
except Exception as e:
print(e)
os._exit(0)
camera.start_camera()
while True:
try:
image: ndarray = camera.get_image()
if image is not None:
# 这里拿到图片的ndarray数据后，可以转Image、可以保存图片....等等操作
print(image.shape)
key = cv2.waitKey(50) & 0xFF
if key == ord('e') or key == ord('E'):
cv2.destroyAllWindows()
break
except Exception as e:
print(e)
