一、前言

python有两种调用halcon的方法

1、安装halcon的python库，pip install mvtec-halcon==20111

然后python代码中主要调用方式为：通过ha来调用halcon中的各种算子，本人不是很喜欢这种方式，后面主要介绍第2种方法。

import halcon as haif __name__ == '__main__':img = ha.read_image('pcb')region = ha.threshold(img, 0, 122)num_regions = ha.count_obj(ha.connection(region))print(f'Number of Regions: {num_regions}')

2、python是可以直接调用halcon的.hdev程序的。

开始的时候从网上找了很多代码，不过都写的很复杂，而且加入了很多python的库，各种python的库的安装也比较头痛，后来发现halcon提供了参考代码，在下图的位置

 本人也写了一个简单的例子供大家参考，简单说一下步骤

步骤1：安装halcon的库，主要用于向halcon程序输入参数用，通过pip安装即可：pip install mvtec-halcon==20111

步骤2：写halcon程序，需要将halcon的程序封装到一个方法里面，方便调用，和C#引擎直接halcon程序的方法类似。

步骤3：写python代码，输入和接收halcon的参数

halcon程序，halcon程序的名称为：test_halcon.hdev，后面的python程序会用到

dev_update_window ('off')
*合格
*read_image (Image, 'D:/2022/1218test/数据/测试/1218侧面1007895p0')
*不合格
*read_image (Image, 'D:/2022/1218test/数据/测试/1218侧面100789p1')
*read_image (Image, 'D:/2022/1218test/数据/测试/1218侧面100789p2')
read_image (Image, 'D:/2022/1218test/数据/测试/1218侧面1007859p3')dev_close_window ()get_image_size (Image, Width, Height)
dev_open_window_fit_image (Image, 0, 0, Width/2, Height/2, WindowHandle)
set_display_font (WindowHandle, 18, 'mono', 'true', 'false')
dev_set_draw ('margin')
dev_set_line_width (1)
dev_display(Image)*合格位置
jiance_wangge (Image, ErrorRegions2, NumErrors)if (NumErrors > 0)disp_message (WindowHandle, 'Mesh not OK', 'window', 24, 12, 'red', 'true')
elsedisp_message (WindowHandle, 'Mesh OK', 'window', 24, 12, 'black', 'true')
endif

jiance_wangge封装的算子

jiance_wangge代码

gen_rectangle1 (ROI_0, 476.5, 624.5, 596.5, 1048.5)
*gen_rectangle1 (ROI_0, 696.5, 636.5, 844.5, 1044.5)reduce_domain (Image, ROI_0, ImageReduced)
*read_image (Image, 'plastic_mesh/plastic_mesh_')
mean_image (ImageReduced, ImageMean, 49, 49)
*dyn_threshold (ImageReduced, ImageMean, RegionDynThresh, 15, 'dark')
dyn_threshold (ImageReduced, ImageMean, RegionDynThresh, 15, 'light')
connection (RegionDynThresh, ConnectedRegions)
select_shape (ConnectedRegions, ErrorRegions2, 'area', 'and', 200, 99999)
count_obj (ErrorRegions2, NumErrors)
dev_display (Image)
dev_set_color ('red')return ()

 python调用halcon程序代码

import os
import halcon as ha
import halcon_IO as hal_IO
# from matplotlib import pyplot as plt
if __name__ == "__main__":#hdev_example_dir = hal_IO.setup_hdev_engine()#program = ha.HDevProgram(#    os.path.join(hdev_example_dir, 'hdevelop', 'wangge_halcon.hdev')#)program = ha.HDevProgram('test_halcon.hdev')proc = ha.HDevProcedure.load_local(program, 'jiance_wangge')proc_call = ha.HDevProcedureCall(proc)#acq_handle = hal_IO.init_acq_handle(program)for _ in range(3):#acq_img = ha.grab_image(acq_handle)acq_img=ha.read_image('D:/2022/1218test/数据/测试/1218侧面100789p3')width, height = ha.get_image_size_s(acq_img)window = hal_IO.open_window(width/2, height/2, row=100, col=100)ha.disp_obj(acq_img, window)#传入图像参数Imageproc_call.set_input_iconic_param_by_name('Image', acq_img)proc_call.execute()#将halcon的输出参数传回来fin_region = proc_call.get_output_iconic_param_by_name('ErrorRegions2')fin_area = proc_call.get_output_control_param_by_name('NumErrors')hal_IO.display_fin(window, fin_region, fin_area)input('Press Enter to continue...')zoom_window = hal_IO.zoom_in_on_fin(acq_img, fin_region)input('Press Enter to continue...')

上面的程序段用到了halcon_IO，主要是用于打开显示窗口，用于显示图像和region等数据

import os
import halcon as hadef open_window(width, height, row, col):"""打开窗口"""if os.name == 'nt':ha.set_system('use_window_thread', 'true')return ha.open_window(row=row,column=col,width=width,height=height,father_window=0,mode='visible',machine='')def setup_hdev_engine():"""获取引擎"""example_dir = ha.get_system_s('example_dir')hdev_example_dir = os.path.join(example_dir, 'hdevengine')engine = ha.HDevEngine()engine.set_procedure_path(os.path.join(hdev_example_dir, 'procedures'))return hdev_example_dirdef init_acq_handle(program):"""采集图像"""proc = ha.HDevProcedure.load_local(program, 'init_acquisition')proc_call = ha.HDevProcedureCall(proc)proc_call.execute()return proc_call.get_output_control_param_by_name('AcqHandle')def display_fin(window, fin_region, fin_area):"""显示信息"""ha.set_color(window, 'red')ha.set_draw(window, 'margin')ha.disp_obj(fin_region, window)ha.set_color(window, 'red')ha.set_tposition(window, 20, 20)ha.write_string(window, f'缺陷数量: {fin_area[0]}')def zoom_in_on_fin(img, fin_region):"""显示放大的region在新的窗口"""zoom_scale = 2margin = 5_, center_row, center_col = ha.area_center_s(fin_region)row1, col1, row2, col2 = ha.smallest_rectangle1_s(fin_region)region_height = row2 - row1region_width = col2 - col1zoom_window = open_window(width=(region_width + (2 * margin)) * zoom_scale,height=(region_height + (2 * margin)) * zoom_scale,row=100 + (center_row / 2),col=100 + ((center_col / 2) + 30))ha.set_part(zoom_window,row1 - margin,col1 - margin,row2 - margin,col2 - margin)ha.disp_obj(img, zoom_window)ha.set_color(zoom_window, 'red')ha.disp_obj(fin_region, zoom_window)return zoom_window