create_data_code_2d_model ('QR Code', [], [], DataCodeHandle)

read_image(Image1,'C:/Users/研發/Pictures/Saved Pictures/二維碼/123456.PNG')

find_data_code_2d(Image1, SymbolXLDs1, DataCodeHandle, [], [], ResultHandles, DecodedDataStrings)

clear_data_code_2d_model (DataCodeHandle)

***********************進階，創建-訓練-識別-清除**********************

*訓練二維碼，只需將find_data_code_2d_model中的參數設為train、all

Path:='D:\\IPI\\Halcon12Projects\\二維碼訓練模板.dcm'

*創建

create_data_code_2d_model ('QR Code', [], [], DataCodeHandle)

list_files ('D:/2dcode', 'files', Files)

for Index:=0 to |Files|-1 by 1

read_image (Image, Files[Index])

*訓練

find_data_code_2d (Image,SymbolXLDs,DataCodeHandle,'train','all', ResultHandles, DecodedDataStrings)

endfor

*寫入本地

write_data_code_2d_model(DataCodeHandle,Path)

*使用訓練的模板進行識別，若識別失敗，則進行訓練當前圖像（若訓練後識別成功，則將訓練後的句柄寫入）

file_exists(Path, FileExists)

if(FileExists=1)

*讀取本地

read_data_code_2d_model (Path, DataCodeHandle)

list_files ('D:/2dcode', 'files', Files)

for Index:=0 to |Files|-1 by 1

read_image (Image, Files[Index])

*使用訓練的句柄識別

find_data_code_2d(Image, SymbolXLDs, DataCodeHandle, [], [], ResultHandles, DecodedDataStrings)

count_obj(SymbolXLDs, Number)

*判斷圍繞二維碼的輪廓是否小於1

if(Number<1)

find_data_code_2d (Image,SymbolXLDs,DataCodeHandle,'train','all', ResultHandles, DecodedDataStrings)

count_obj(SymbolXLDs,Number)

if(Number>0)

write_data_code_2d_model (DataCodeHandle,Path)

endif

endif

if(Number<1)

disp_message(3600,'NG', 'window', 12, 12, 'black', 'true')

else

disp_message(3600,'OK\r\n'+DecodedDataStrings, 'window', 12, 12, 'black', 'true')

dev_display (SymbolXLDs)

endif

endfor

write_data_code_2d_model (DataCodeHandle,Path)

else

stop()

endif

*清除句柄，釋放內存

clear_data_code_2d_model (DataCodeHandle)

Halcon二維碼識別（創建-訓練-識別-清除)