VisionMaster4.4python脚本图像处理转换函数爱之初体验

最近有接触过一丢丢VM4.3的模块开发. 一直有把python图像处理部分模块移植进来的打算 不过时间不够没来得及折腾.偶尔发现4.4支持py脚本 于是拿来折腾.一下午.

发现4.4支持python脚本,好开心.

首先安装VM4.4 注意一定要是4.4

打开后拖了一个模块.

但是发现import numpy import cv2 都报错.

python没有这些怎么玩? 咱好歹自学过几天python 不能放弃吧?

于是抱着试一试的态度?

开始以为路径是

C:\Program Files\VisionMaster4.4.0\Applications\Module(sp)\x64\Logic\PyShellModule

后来搜索感觉是这里:

C:\Program Files\VisionMaster4.4.0\Applications\ModuleProxy\x64 python.exe C:\Program Files\VisionMaster4.4.0\Applications\ModuleProxy\x64\Scripts pip.exe

好了,在这里按住shift右击 >>在此处打开powershell窗口 输入cmd

然后 尝试性的在此文件夹里 pip install numpy 当运行 import numpy as np 发现已经不报错了.

好了 现在直接在这个窗口:安装

pip install numpy pip install opencv-python pip install pillow pip install matplotlib # 我暂时只需要这么多 够用 你也可以安装别的

哈哈:

接下来又遇到难题:

官方文档只介绍输入输出图像的结构体: 没有示例程序.难搞.

结构体定义如下:

# 图像数据 class ImageData: def __init__(self): self.width = None self.height = None self.pixel_format = None self.buffer = None self.dataLen = None

其他类型 数据结构比较简单 见名知意: 好吧还是放出来吧:

# 路径 文件名 #C:\Program Files\VisionMaster4.4.0\Applications\Module(sp)\x64\Logic\PyShellModule #组合数据类型字段定义.py # ROI圆环 class RoiAnnulus: def __init__(self): self.center_x = None self.center_y = None self.inner_radius = None self.outer_radius = None self.start_angle = None self.angle_extend = None # 圆 class Circle: def __init__(self): self.radius = None self.center_x = None self.center_y = None # 椭圆 class ELLIPSE: def __init__(self): self.center_x = None self.center_y = None self.major_radius = None self.minor_radius = None self.angle = None # 位置修正信息 class Fixture: def __init__(self): self.init_point_x = None self.init_point_y = None self.init_angle = None self.init_scale_x = None self.init_scale_y = None self.run_point_x = None self.run_point_y = None self.run_angle = None self.run_scale_x = None self.run_scale_y = None # 图像数据 class ImageData: def __init__(self): self.width = None self.height = None self.pixel_format = None self.buffer = None self.dataLen = None # 直线 class Line: def __init__(self): self.start_point_x = None self.start_point_y = None self.end_point_x = None self.end_point_y = None # 点 class Point: def __init__(self): self.point_x = None self.point_y = None # 轮廓 class PointSet: def __init__(self): self.buffer = None self.dataLen = None # 矩形 class Rect: def __init__(self): self.rect_x = None self.rect_y = None self.width = None self.height = None # Box class RoiBox: def __init__(self): self.center_x = None self.center_y = None self.width = None self.height = None self.angle = None # 多边形 class RoiPolygon: def __init__(self): self.point_num = None self.point_x = None self.point_y = None # 圆环 class Annulus: def __init__(self): self.center_x = None self.center_y = None self.inner_radius = None self.outer_radius = None self.start_angle = None self.angle_extend = None

直接上程序: 自己摸索的 输入输出 官方可没有示例 噢

# coding: utf-8 from ioHelper import * # pip install opencv-python # pip install numpy import os,sys,time import cv2 import numpy as np def Imagetonumpy(ImageData): # 将二进制数据转换为 NumPy 数组 image_array = np.frombuffer(ImageData.buffer, dtype=np.uint8) # 调整数组形状为 (height, width, channels) # 图是3 通道 就选3 1通道就选1 if (int(len(ImageData.buffer)) == int(ImageData.width*ImageData.height)): channels=1 else: channels=3 image_array = image_array.reshape((ImageData.height, ImageData.width,channels)) if channels==3: image_array = cv2.cvtColor(image_array, cv2.COLOR_RGB2BGR) return image_array #******************************************************************************************* def numpytoImage(numpy_image): """ 将 NumPy 数组转换为 ImageData 结构体。 参数: numpy_image: NumPy 数组，形状为 (height, width, channels) 或 (height, width)。 返回: ImageData: 包含图像数据的结构体。 """ # 检查 NumPy 数组的形状 if len(numpy_image.shape) == 1: # 灰度图像 height, width,channels = numpy_image.shape channels = 1 elif len(numpy_image.shape) == 3: # 彩色图像 height, width, channels = numpy_image.shape else: raise ValueError("NumPy 数组形状不正确！") if channels == 3: numpy_image = cv2.cvtColor(numpy_image, cv2.COLOR_RGB2BGR) buffer = numpy_image.tobytes()# 将 NumPy 数组转换为二进制数据 # 创建 ImageData 结构体 image_data = ImageData() image_data.width = width image_data.height = height if channels == 3: image_data.pixel_format = 35127316 # 假设像素格式与原函数一致 35127316 if channels == 1: image_data.pixel_format = 17301505 # 假设像素格式与原函数一致 35127316 image_data.buffer = buffer image_data.dataLen = width*height*channels #image_data.pixel_format 必须正确 否则图像报错 我也不知带这个是啥格式啥结构 # 但是可以通过 输入图像 tmpimg.pixel_format 获取 这个数值 #localVar = IoHelper(data, INIT_LOCAL_VAR) #tmpimg = moduleVar.img #读取图像 #{tmpimg.width}// 宽度 759 #{tmpimg.height}//高度 658 #{tmpimg.pixel_format} return image_data def Process(data) -> int: """Write custom logic code inside the Process method. Return 0 for success or any other value for failure.""" """在Process方法内编写自定义逻辑代码, 成功返回0, 返回其他值表示失败""" """Do not delete this code block.""" """请勿删除此处代码""" moduleVar = IoHelper(data, INIT_MODULE_VAR) globalVar = IoHelper(data, INIT_GLOBAL_VAR) localVar = IoHelper(data, INIT_LOCAL_VAR) tmpimg = moduleVar.img #读取图像 moduleVar.outstr = fr""" {tmpimg.width}// 宽度 759 {tmpimg.height}//高度 658 {tmpimg.pixel_format}//像素格式 //35127316 [tmpimg.buffer]//图像数据 二进制 {tmpimg.dataLen}//数据长度 //1498266 {os.getcwd()} {int(len(tmpimg.buffer))} {int(tmpimg.width*tmpimg.height)} {int(len(tmpimg.buffer)) == int(tmpimg.width*tmpimg.height)} """ image_array=Imagetonumpy(tmpimg) #image = cv2.imread(tmpimg) # 使用 OpenCV 显示图像 #blank_image = np.ones((200, 200, 1), dtype=np.uint8) * 255 #numpy_image = np.zeros((100,100,3),dtype=np.uint8) #cv2.imshow("Image", image_array) #cv2.waitKey(2000) #cv2.destroyAllWindows() imgooop=numpytoImage(image_array) moduleVar.imgout=imgooop """Variable initialization, to access input and output variables within the Process method.""" """变量初始化, 进入Process方法后首先调用, 否则无法访问输入、输出变量""" """ * Input and output variables: * 输入、输出变量 Input variables are read-only and cannot be modified; output variables are write-only and cannot be read. 输入变量为只读, 不可以修改; 输出变量为只写, 不可以读取; Assume: the name of the input variable is 'in0', of type int. Its value can be obtained using tmp = moduleVar.in0 假设: 输入变量名为in0, 类型为int, 可通过tmp = moduleVar.in0 读取该变量的值 Assume: the name of the output variable is 'out0', of type int. Its value can be set using moduleVar.out = 9 假设: 输出变量名为out0, 类型为int, moduleVar.out = 9 设置该变量的值 Global variables: * 全局变量 Assume: the name of the global variable is 'var0', of type int. Its value can be obtained using tmp = globalVar.GetValue('var0') 假设: 输入变量名为var0, 类型为int, 可通过tmp = globalVar.GetValue('var0') 读取该变量的值, 通过 globalVar.SetValue('var0', 123) 设置该变量的值 Local variables: * 局部变量 Assume: the name of the local variable is 'var0', of type int. Its value can be obtained using tmp = localVar.GetValue('var0') 假设: 输入变量名为var0, 类型为int, 可通过tmp = localVar.GetValue('var0') 读取该变量的值, 通过 localVar.SetValue('var0', 123) 设置该变量的值 ** All variables should be used strictly based on their types. If there is a need for type conversion, explicit conversion should be performed in the user code. ** 所有变量都需要严格根据变量类型使用, 若有类型转换的需求, 应在用户代码内通过显示转换代码进行类型转换。 Example code: 示例代码如下: width = moduleVar.width + 100 moduleVar.out0 = width / 2 + 20 if moduleVar.in1 == 'OK': moduleVar.out1 = "OK" moduleVar.out0 = globalVar.GetValue('var0') moduleVar.out1 = localVar.GetValue('var0') globalVar.SetValue('var1', 123) localVar.SetValue('var1', moduleVar.out2) Note: Python indentation must be 4 spaces 注意: Python的缩进必须为4个空格。 编写自定义代码，替换下方的默认代码 pass Write custom code to replace the default code below." """ try: #PrintMsg("\nUser code start") pass #PrintMsg("User code end") except BaseException as e: PrintMsg(e) return 0

 仔细看 就是2个转换函数: process是被调用方

注意 tmpimg.pixel_format 我没搞懂啥格式.就是一串数字,但是 输入图像是多少,输出就写多少就没有问题.

美中不足的是VM 用的 python3.7 64位 如果是python3.8 那么python 版本的halcon也可以支持