领胜LDS 键盘AOI检测项目
1. M071B机台配置
2. GTS板卡添加回原点捕获模式和输入信号模式
3. CameraBase使用Dictionary类型做图片缓存
4. M071流程显式Copy,原来是为了避免内存泄漏,但目前来看不是这方面原因
5. Gocator驱动添加GoDataSet之类KObject资源显式回收,怀疑其中也有非托管对象资源,测试确实起到内存回收作用
24个文件已添加
11个文件已修改
2293 ■■■■■ 已修改文件
M071B配置/Calculations/111111111111111111111111.hdev 19 ●●●●● 补丁 | 查看 | 原始文档 | blame | 历史
M071B配置/Calculations/FilterValue.hdvp 52 ●●●●● 补丁 | 查看 | 原始文档 | blame | 历史
M071B配置/Calculations/Go2GenTLStamp.hdvp 54 ●●●●● 补丁 | 查看 | 原始文档 | blame | 历史
M071B配置/Calculations/Go2GenTL_ParseData.hdvp 133 ●●●●● 补丁 | 查看 | 原始文档 | blame | 历史
M071B配置/Calculations/M071_CutImage1.hdvp 57 ●●●●● 补丁 | 查看 | 原始文档 | blame | 历史
M071B配置/Calculations/M071_CutImage2.hdvp 59 ●●●●● 补丁 | 查看 | 原始文档 | blame | 历史
M071B配置/Calculations/M071_GetImageObjs1.hdvp 64 ●●●●● 补丁 | 查看 | 原始文档 | blame | 历史
M071B配置/Calculations/M071_GetImageObjs1_1.hdvp 64 ●●●●● 补丁 | 查看 | 原始文档 | blame | 历史
M071B配置/Calculations/M071_GetImageObjs2.hdvp 64 ●●●●● 补丁 | 查看 | 原始文档 | blame | 历史
M071B配置/Calculations/M071_GetImageObjs2_1.hdvp 64 ●●●●● 补丁 | 查看 | 原始文档 | blame | 历史
M071B配置/Calculations/M071_GetImageObjs3.hdvp 64 ●●●●● 补丁 | 查看 | 原始文档 | blame | 历史
M071B配置/Calculations/M071_GetImageObjs3_1.hdvp 64 ●●●●● 补丁 | 查看 | 原始文档 | blame | 历史
M071B配置/Calculations/M071_GetImageObjs4.hdvp 64 ●●●●● 补丁 | 查看 | 原始文档 | blame | 历史
M071B配置/Calculations/M071_GetResults.hdvp 244 ●●●●● 补丁 | 查看 | 原始文档 | blame | 历史
M071B配置/Calculations/M071_Max_Min.hdvp 33 ●●●●● 补丁 | 查看 | 原始文档 | blame | 历史
M071B配置/Calculations/M071_RowAlignment.hdvp 29 ●●●●● 补丁 | 查看 | 原始文档 | blame | 历史
M071B配置/Calculations/Main.hdev 23 ●●●●● 补丁 | 查看 | 原始文档 | blame | 历史
M071B配置/Calculations/Mult_Test.hdev 19 ●●●●● 补丁 | 查看 | 原始文档 | blame | 历史
M071B配置/Calculations/Test.hdev 69 ●●●●● 补丁 | 查看 | 原始文档 | blame | 历史
M071B配置/Calculations/temp.hdev 28 ●●●●● 补丁 | 查看 | 原始文档 | blame | 历史
M071B配置/Configs/0819.job 补丁 | 查看 | 原始文档 | blame | 历史
M071B配置/Configs/Config.json 1 ●●●● 补丁 | 查看 | 原始文档 | blame | 历史
M071B配置/Configs/KeyBoard-小爱.bmp 补丁 | 查看 | 原始文档 | blame | 历史
M071B配置/Configs/M071B-GTS400-20200814.cfg 734 ●●●●● 补丁 | 查看 | 原始文档 | blame | 历史
src/Bro.Common.Device/DeviceBase/CameraBase.cs 44 ●●●● 补丁 | 查看 | 原始文档 | blame | 历史
src/Bro.Common.Model/Model/MotionCardRelated.cs 45 ●●●●● 补丁 | 查看 | 原始文档 | blame | 历史
src/Bro.Device.GTSCard/GTSCardDriver.cs 40 ●●●● 补丁 | 查看 | 原始文档 | blame | 历史
src/Bro.Device.Gocator/GocatorDriver.cs 32 ●●●●● 补丁 | 查看 | 原始文档 | blame | 历史
src/Bro.M071.Process/M071Config.cs 5 ●●●●● 补丁 | 查看 | 原始文档 | blame | 历史
src/Bro.M071.Process/M071Models.cs 52 ●●●●● 补丁 | 查看 | 原始文档 | blame | 历史
src/Bro.M071.Process/M071Process.cs 42 ●●●●● 补丁 | 查看 | 原始文档 | blame | 历史
src/Bro.M071.Process/M071Process_MotionCard.cs 3 ●●●● 补丁 | 查看 | 原始文档 | blame | 历史
src/Bro.M071.Process/UI/KeyIndicator.cs 5 ●●●●● 补丁 | 查看 | 原始文档 | blame | 历史
src/Bro.M071.Process/UI/M071_MainForm.cs 21 ●●●●● 补丁 | 查看 | 原始文档 | blame | 历史
src/Bro.UI.Device.Winform/MotionCard/CtrlMotionCardAxisStatus.cs 2 ●●● 补丁 | 查看 | 原始文档 | blame | 历史
M071BÅäÖÃ/Calculations/111111111111111111111111.hdev
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@@ -0,0 +1,19 @@
<?xml version="1.0" encoding="UTF-8"?>
<hdevelop file_version="1.1" halcon_version="12.0">
<procedure name="main">
<interface/>
<body>
<l>read_image (Image, 'C:/Users/admin/Desktop/113102242.tif')</l>
<l>gen_rectangle1 (ROI_0, 35.5082, 689.336, 53.5523, 706.658)</l>
<l>gen_rectangle1 (TMP_Region, 5137.27, 542, 5155.31, 562)</l>
<c></c>
<c></c>
<c></c>
<l>min_max_gray (TMP_Region, Image, 50, Min, Max, Range)</l>
<l>min_max_gray (ROI_0, Image, 50, Min, Max1, Range)</l>
</body>
<docu id="main">
<parameters/>
</docu>
</procedure>
</hdevelop>
M071BÅäÖÃ/Calculations/FilterValue.hdvp
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@@ -0,0 +1,52 @@
<?xml version="1.0" encoding="UTF-8"?>
<hdevelop file_version="1.1" halcon_version="12.0">
<procedure name="FilterValue">
<interface>
<io>
<par name="ROI_calc" base_type="iconic" dimension="0"/>
<par name="ImagePart" base_type="iconic" dimension="0"/>
</io>
<ic>
<par name="Low" base_type="ctrl" dimension="0"/>
<par name="High" base_type="ctrl" dimension="0"/>
</ic>
<oc>
<par name="result" base_type="ctrl" dimension="0"/>
</oc>
</interface>
<body>
<c>*滤值函数</c>
<l>if (Low + High &gt; 100)</l>
<l>    throw ('Filt is illegal')</l>
<l>    return ()</l>
<l>endif</l>
<c></c>
<l>if (Low &gt; 50)</l>
<l>    min_max_gray (ROI_calc, ImagePart, 100 - Low, Min, LowGray, Range)</l>
<l>    min_max_gray (ROI_calc, ImagePart, High, Min, HighGray, Range)</l>
<l>elseif (High &gt; 50)</l>
<l>    min_max_gray (ROI_calc, ImagePart, Low, LowGray, Max, Range)</l>
<l>    min_max_gray (ROI_calc, ImagePart, 100 - High, HighGray, Max, Range)</l>
<l>else</l>
<l>    min_max_gray (ROI_calc, ImagePart, Low, LowGray, Max, Range)</l>
<l>    min_max_gray (ROI_calc, ImagePart, High, Min, HighGray, Range)</l>
<l>endif</l>
<c></c>
<l>reduce_domain (ImagePart, ROI_calc, ImageReduced)  </l>
<l>threshold (ImageReduced, Region, LowGray, HighGray)</l>
<l>min_max_gray (Region, ImageReduced, 50, result, Max, Range)</l>
<c></c>
<l>return ()</l>
<c></c>
</body>
<docu id="FilterValue">
<parameters>
<parameter id="High"/>
<parameter id="ImagePart"/>
<parameter id="Low"/>
<parameter id="ROI_calc"/>
<parameter id="result"/>
</parameters>
</docu>
</procedure>
</hdevelop>
M071BÅäÖÃ/Calculations/Go2GenTLStamp.hdvp
New file
@@ -0,0 +1,54 @@
<?xml version="1.0" encoding="UTF-8"?>
<hdevelop file_version="1.1" halcon_version="12.0">
<procedure name="Go2GenTLStamp">
<interface>
<io>
<par name="Stamps" base_type="iconic" dimension="0"/>
</io>
<ic>
<par name="Index" base_type="ctrl" dimension="0"/>
</ic>
<oc>
<par name="Value" base_type="ctrl" dimension="0"/>
</oc>
</interface>
<body>
<c>* Check if we are on a 64-bit machine</c>
<l>test_value := 0xFFFFFFFF</l>
<l>if (test_value &gt; 0)</l>
<l>    is64bit := 1</l>
<l>else</l>
<l>    is64bit := 0</l>
<l>endif</l>
<c>* </c>
<l>get_grayval (Stamps, 0, (Index * 4), tempvalue0)</l>
<l>get_grayval (Stamps, 0, (Index * 4) + 1, tempvalue1)</l>
<l>get_grayval (Stamps, 0, (Index * 4) + 2, tempvalue2)</l>
<l>get_grayval (Stamps, 0, (Index * 4) + 3, tempvalue3)</l>
<c>* </c>
<c>* The actual stamp from the Gocator is 64-bit. tempvalue0 is the most significant 16-bit (i.e. the top bit is the sign bit)</c>
<c>* The code below assumes we only need the bottom 32-bit information. User need to update this conversion function if they want to</c>
<c>* return 64-bit value.</c>
<c>* </c>
<l>if (is64bit = 1)</l>
<l>    tuple_lsh (tempvalue0, 48, tempvalue0)</l>
<l>    tuple_lsh (tempvalue1, 32, tempvalue1)</l>
<l>    tuple_lsh (tempvalue2, 16, tempvalue2)</l>
<l>    tuple_lsh (tempvalue3, 0, tempvalue3)</l>
<l>    Value := tempvalue0 + tempvalue1 + tempvalue2 + tempvalue3</l>
<l>else</l>
<l>    tuple_lsh (tempvalue2, 16, tempvalue2)</l>
<l>    tuple_lsh (tempvalue3, 0, tempvalue3)</l>
<l>    Value := tempvalue2 + tempvalue3</l>
<l>endif</l>
<l>return ()</l>
</body>
<docu id="Go2GenTLStamp">
<parameters>
<parameter id="Index"/>
<parameter id="Stamps"/>
<parameter id="Value"/>
</parameters>
</docu>
</procedure>
</hdevelop>
M071BÅäÖÃ/Calculations/Go2GenTL_ParseData.hdvp
New file
@@ -0,0 +1,133 @@
<?xml version="1.0" encoding="UTF-8"?>
<hdevelop file_version="1.1" halcon_version="12.0">
<procedure name="Go2GenTL_ParseData">
<interface>
<io>
<par name="Image" base_type="iconic" dimension="0"/>
</io>
<oo>
<par name="HeightMap" base_type="iconic" dimension="0"/>
<par name="Intensity" base_type="iconic" dimension="0"/>
</oo>
<ic>
<par name="Index" base_type="ctrl" dimension="0"/>
</ic>
<oc>
<par name="FrameCount" base_type="ctrl" dimension="0"/>
<par name="Timestamp" base_type="ctrl" dimension="0"/>
<par name="EncoderPosition" base_type="ctrl" dimension="0"/>
<par name="EncoderIndex" base_type="ctrl" dimension="0"/>
<par name="Inputs" base_type="ctrl" dimension="0"/>
<par name="xOffset" base_type="ctrl" dimension="0"/>
<par name="xResolution" base_type="ctrl" dimension="0"/>
<par name="yOffset" base_type="ctrl" dimension="0"/>
<par name="yResolution" base_type="ctrl" dimension="0"/>
<par name="zOffset" base_type="ctrl" dimension="0"/>
<par name="zResolution" base_type="ctrl" dimension="0"/>
<par name="Width" base_type="ctrl" dimension="0"/>
<par name="Length" base_type="ctrl" dimension="0"/>
<par name="HasIntensity" base_type="ctrl" dimension="0"/>
<par name="NumScans" base_type="ctrl" dimension="0"/>
</oc>
</interface>
<body>
<l>count_channels (Image, channelCount)</l>
<c>* </c>
<l>if (channelCount = 1)</l>
<c>    * </c>
<l>    get_image_size (Image, monoImageWidth, monoImageHeight)</l>
<l>    crop_rectangle1 (Image, Stamps, monoImageHeight - 1, 0, monoImageHeight-1, monoImageWidth)</l>
<c>    * </c>
<l>    Go2GenTLStamp (Stamps, 1, FrameCount)</l>
<l>    Go2GenTLStamp (Stamps, 2, Timestamp)</l>
<l>    Go2GenTLStamp (Stamps, 3, EncoderPosition)</l>
<l>    Go2GenTLStamp (Stamps, 4, EncoderIndex)</l>
<l>    Go2GenTLStamp (Stamps, 5, Inputs)</l>
<l>    Go2GenTLStamp (Stamps, 6, xOffset)</l>
<l>    Go2GenTLStamp (Stamps, 7, xResolution)</l>
<l>    Go2GenTLStamp (Stamps, 8, yOffset)</l>
<l>    Go2GenTLStamp (Stamps, 9, yResolution)</l>
<l>    Go2GenTLStamp (Stamps, 10, zOffset)</l>
<l>    Go2GenTLStamp (Stamps, 11, zResolution)</l>
<l>    Go2GenTLStamp (Stamps, 12, Width)</l>
<l>    Go2GenTLStamp (Stamps, 13, Length)</l>
<l>    Go2GenTLStamp (Stamps, 14, HasIntensity)</l>
<l>    Go2GenTLStamp (Stamps, 15, NumScans)</l>
<c>    * </c>
<c>    * * Mono output does not support multiple heightmaps, assuming index is 0</c>
<l>    crop_rectangle1 (Image, HeightMap, 0, 0, Length - 1, Width)</l>
<l>    if (HasIntensity = 1)</l>
<l>        IntensityPosition := (monoImageHeight - 1)/2</l>
<l>        crop_rectangle1 (Image, Intensity, IntensityPosition, 0, IntensityPosition + Length - 1, Width)</l>
<l>    else</l>
<l>        gen_image_const (Intensity, 'byte', Width, Length)</l>
<l>    endif</l>
<c>    * </c>
<l>elseif (channelCount = 3)</l>
<c>    * </c>
<l>    decompose3 (Image, HeightMap, Intensity, Stamps)</l>
<c>    * </c>
<l>    Go2GenTLStamp (Stamps, 1, FrameCount)</l>
<l>    Go2GenTLStamp (Stamps, 2, Timestamp)</l>
<l>    Go2GenTLStamp (Stamps, 3, EncoderPosition)</l>
<l>    Go2GenTLStamp (Stamps, 4, EncoderIndex)</l>
<l>    Go2GenTLStamp (Stamps, 5, Inputs)</l>
<l>    Go2GenTLStamp (Stamps, 6, xOffset)</l>
<l>    Go2GenTLStamp (Stamps, 7, xResolution)</l>
<l>    Go2GenTLStamp (Stamps, 8, yOffset)</l>
<l>    Go2GenTLStamp (Stamps, 9, yResolution)</l>
<l>    Go2GenTLStamp (Stamps, 10, zOffset)</l>
<l>    Go2GenTLStamp (Stamps, 11, zResolution)</l>
<l>    Go2GenTLStamp (Stamps, 12, Width)</l>
<l>    Go2GenTLStamp (Stamps, 13, Length)</l>
<l>    Go2GenTLStamp (Stamps, 14, HasIntensity)</l>
<l>    Go2GenTLStamp (Stamps, 15, NumScans)</l>
<c>    * </c>
<c>    * * Split Height Map</c>
<l>    start := Index * (Length)</l>
<l>    end := (Index+1) * (Length)</l>
<c>    * </c>
<l>    if (NumScans &gt; Index)</l>
<l>        crop_rectangle1 (HeightMap, HeightMap, start, 0, end, Width)</l>
<l>        if (HasIntensity = 1)</l>
<l>            crop_rectangle1 (Intensity, Intensity, start, 0, end, Width)</l>
<l>        endif</l>
<l>    endif</l>
<c>    * </c>
<l>endif</l>
<c>* </c>
<c>* * Change Offset and resolution back to floating point and described in mm</c>
<l>xOffset := xOffset / 1000000.0</l>
<l>yOffset := yOffset / 1000000.0</l>
<l>zOffset := zOffset / 1000000.0</l>
<l>xResolution := xResolution / 1000000.0</l>
<l>yResolution := yResolution / 1000000.0</l>
<l>zResolution := zResolution / 1000000.0</l>
<c>* </c>
<l>return ()</l>
</body>
<docu id="Go2GenTL_ParseData">
<parameters>
<parameter id="EncoderIndex"/>
<parameter id="EncoderPosition"/>
<parameter id="FrameCount"/>
<parameter id="HasIntensity"/>
<parameter id="HeightMap"/>
<parameter id="Image"/>
<parameter id="Index"/>
<parameter id="Inputs"/>
<parameter id="Intensity"/>
<parameter id="Length"/>
<parameter id="NumScans"/>
<parameter id="Timestamp"/>
<parameter id="Width"/>
<parameter id="xOffset"/>
<parameter id="xResolution"/>
<parameter id="yOffset"/>
<parameter id="yResolution"/>
<parameter id="zOffset"/>
<parameter id="zResolution"/>
</parameters>
</docu>
</procedure>
</hdevelop>
M071BÅäÖÃ/Calculations/M071_CutImage1.hdvp
New file
@@ -0,0 +1,57 @@
<?xml version="1.0" encoding="UTF-8"?>
<hdevelop file_version="1.1" halcon_version="12.0">
<procedure name="M071_CutImage1">
<interface>
<io>
<par name="INPUT_Image" base_type="iconic" dimension="0"/>
</io>
<oo>
<par name="OUTPUT_Images" base_type="iconic" dimension="0"/>
</oo>
</interface>
<body>
<c>*阈值修改</c>
<l>LowValue := 0</l>
<c></c>
<c>*第一列参数</c>
<l>Col1_begin := 110</l>
<l>Col1_end := 200</l>
<c>*第二列参数</c>
<l>Col2_begin := 250</l>
<l>Col2_end := 490</l>
<c>*第三列参数</c>
<l>Col3_begin := 530</l>
<l>Col3_end := 850</l>
<c></c>
<c>*二值化处理并去噪</c>
<l>threshold (INPUT_Image, Region, 3500 + LowValue, 12000)</l>
<l>dilation_rectangle1 (Region, RegionDilation, 3, 3)</l>
<l>connection (RegionDilation, ConnectedRegions)</l>
<l>select_shape (ConnectedRegions, SelectedRegions, 'area', 'and', 15000, 6000000)</l>
<c></c>
<c>*按列分割</c>
<l>M071_GetImageObjs1_1 (SelectedRegions, INPUT_Image, ImageObjs1, Col1_begin, Col1_end)</l>
<l>M071_GetImageObjs2_1 (SelectedRegions, INPUT_Image, ImageObjs2, Col2_begin, Col2_end)</l>
<l>M071_GetImageObjs3_1 (SelectedRegions, INPUT_Image, ImageObjs3, Col3_begin, Col3_end)</l>
<c></c>
<c>*将所有Objs联合为一个Objs输出给上位机</c>
<l>concat_obj (ImageObjs1, ImageObjs2, OUTPUT_Images)</l>
<l>concat_obj (OUTPUT_Images, ImageObjs3, OUTPUT_Images)</l>
<l>count_obj (OUTPUT_Images, Number)</l>
<l>* if (Number &lt; 43)</l>
<l>*     select_obj (OUTPUT_Images, ObjectSelected, 1)</l>
<l>*     for Index := 1 to 43 - Number by 1</l>
<l>*         copy_image (ObjectSelected, DupImage)</l>
<l>*         concat_obj (OUTPUT_Images, DupImage, OUTPUT_Images)</l>
<l>*     endfor</l>
<l>* endif</l>
<l>return ()</l>
</body>
<docu id="M071_CutImage1">
<parameters>
<parameter id="INPUT_Image"/>
<parameter id="OUTPUT_Images"/>
</parameters>
</docu>
</procedure>
</hdevelop>
M071BÅäÖÃ/Calculations/M071_CutImage2.hdvp
New file
@@ -0,0 +1,59 @@
<?xml version="1.0" encoding="UTF-8"?>
<hdevelop file_version="1.1" halcon_version="12.0">
<procedure name="M071_CutImage2">
<interface>
<io>
<par name="INPUT_Image" base_type="iconic" dimension="0"/>
</io>
<oo>
<par name="OUTPUT_Images" base_type="iconic" dimension="0"/>
</oo>
</interface>
<body>
<c>*阈值修改</c>
<l>LowValue := 0</l>
<c></c>
<c>*第一列参数</c>
<l>Col1_begin := 0</l>
<l>Col1_end := 270</l>
<c>*第二列参数</c>
<l>Col2_begin := 290</l>
<l>Col2_end := 580</l>
<c>*第三列参数</c>
<l>Col3_begin := 600</l>
<l>Col3_end := 750</l>
<c>*第四列参数</c>
<l>Col4_begin := 770</l>
<l>Col4_end := 970</l>
<c></c>
<c></c>
<c>*二值化处理并去噪</c>
<l>threshold (INPUT_Image, Region, 3500 + LowValue, 12000)</l>
<l>dilation_rectangle1 (Region, RegionDilation, 5, 5)</l>
<c></c>
<c>*选择连通域</c>
<l>connection (RegionDilation, ConnectedRegions)</l>
<l>select_shape (ConnectedRegions, SelectedRegions, 'area', 'and', 25000, 600000)</l>
<c></c>
<c>*按列分割</c>
<l>M071_GetImageObjs1 (SelectedRegions, INPUT_Image, ImageObjs1, Col1_begin, Col1_end)</l>
<l>M071_GetImageObjs2 (SelectedRegions, INPUT_Image, ImageObjs2, Col2_begin, Col2_end)</l>
<l>M071_GetImageObjs3 (SelectedRegions, INPUT_Image, ImageObjs3, Col3_begin, Col3_end)</l>
<c>*第四列仅有一个Down键</c>
<l>M071_GetImageObjs4 (SelectedRegions, INPUT_Image, ImageObjs4, Col4_begin, Col4_end)</l>
<c>*将所有Objs联合为一个Objs输出给上位机</c>
<l>concat_obj (ImageObjs1, ImageObjs2, OUTPUT_Images)</l>
<l>concat_obj (OUTPUT_Images, ImageObjs3, OUTPUT_Images)</l>
<l>concat_obj (OUTPUT_Images, ImageObjs4, OUTPUT_Images)</l>
<c></c>
<l>return ()</l>
<c></c>
</body>
<docu id="M071_CutImage2">
<parameters>
<parameter id="INPUT_Image"/>
<parameter id="OUTPUT_Images"/>
</parameters>
</docu>
</procedure>
</hdevelop>
M071BÅäÖÃ/Calculations/M071_GetImageObjs1.hdvp
New file
@@ -0,0 +1,64 @@
<?xml version="1.0" encoding="UTF-8"?>
<hdevelop file_version="1.1" halcon_version="12.0">
<procedure name="M071_GetImageObjs">
<interface>
<io>
<par name="SelectedRegions" base_type="iconic" dimension="0"/>
<par name="Image" base_type="iconic" dimension="0"/>
</io>
<oo>
<par name="ImageObjs" base_type="iconic" dimension="0"/>
</oo>
<ic>
<par name="Col_begin" base_type="ctrl" dimension="0"/>
<par name="Col_end" base_type="ctrl" dimension="0"/>
</ic>
</interface>
<body>
<c>*选择一列键盘</c>
<l>select_shape (SelectedRegions, SelectedRegions_Col, 'column1', 'and', Col_begin, Col_end)</l>
<l>count_obj (SelectedRegions_Col, Number)</l>
<c></c>
<c>*创建空对象</c>
<l>gen_empty_obj (RegionObjs)</l>
<l>gen_empty_obj (ImageObjs)</l>
<c></c>
<c>*遍历该列键盘的每一个键,将所有键的region放入一个Objs</c>
<l>for Index := 1 to Number by 1</l>
<l>    select_obj (SelectedRegions_Col, ObjectSelected, Index)</l>
<l>    smallest_rectangle2 (ObjectSelected, Row, Column, Phi, Length1, Length2)</l>
<c>    *将备选区域外扩</c>
<l>    Length1 := Length1 + 40</l>
<l>    Length2 := Length2 + 40</l>
<l>    gen_rectangle2 (RegionObj, Row, Column, Phi, Length1, Length2)</l>
<c>    *把所有键的图片放入一个Objs内</c>
<l>    concat_obj (RegionObjs, RegionObj, RegionObjs)</l>
<l>    dev_clear_window ()</l>
<l>    dev_display (Image)</l>
<l>    dev_display (RegionObj)</l>
<l>endfor</l>
<c>*对region进行排序</c>
<l>sort_region (RegionObjs, RegionObjs, 'first_point', 'true', 'column')</l>
<l>sort_region (RegionObjs, RegionObjs, 'first_point', 'true', 'row')</l>
<c>*将region转为image</c>
<l>for Index := 1 to Number by 1</l>
<l>    select_obj (RegionObjs, Obj, Index)</l>
<l>    reduce_domain (Image, Obj, ImageReduced)</l>
<l>    crop_domain (ImageReduced, ImagePart)</l>
<l>    concat_obj (ImageObjs, ImagePart, ImageObjs)</l>
<l>endfor</l>
<c></c>
<c></c>
<l>return ()</l>
</body>
<docu id="M071_GetImageObjs">
<parameters>
<parameter id="Col_begin"/>
<parameter id="Col_end"/>
<parameter id="Image"/>
<parameter id="ImageObjs"/>
<parameter id="SelectedRegions"/>
</parameters>
</docu>
</procedure>
</hdevelop>
M071BÅäÖÃ/Calculations/M071_GetImageObjs1_1.hdvp
New file
@@ -0,0 +1,64 @@
<?xml version="1.0" encoding="UTF-8"?>
<hdevelop file_version="1.1" halcon_version="12.0">
<procedure name="M071_GetImageObjs">
<interface>
<io>
<par name="SelectedRegions" base_type="iconic" dimension="0"/>
<par name="Image" base_type="iconic" dimension="0"/>
</io>
<oo>
<par name="ImageObjs" base_type="iconic" dimension="0"/>
</oo>
<ic>
<par name="Col_begin" base_type="ctrl" dimension="0"/>
<par name="Col_end" base_type="ctrl" dimension="0"/>
</ic>
</interface>
<body>
<c>*选择一列键盘</c>
<l>select_shape (SelectedRegions, SelectedRegions_Col, 'column1', 'and', Col_begin, Col_end)</l>
<l>count_obj (SelectedRegions_Col, Number)</l>
<c></c>
<c>*创建空对象</c>
<l>gen_empty_obj (RegionObjs)</l>
<l>gen_empty_obj (ImageObjs)</l>
<c></c>
<c>*遍历该列键盘的每一个键,将所有键的region放入一个Objs</c>
<l>for Index := 1 to Number by 1</l>
<l>    select_obj (SelectedRegions_Col, ObjectSelected, Index)</l>
<l>    smallest_rectangle2 (ObjectSelected, Row, Column, Phi, Length1, Length2)</l>
<c>    *将备选区域外扩</c>
<l>    Length1 := Length1 + 40</l>
<l>    Length2 := Length2 + 40</l>
<l>    gen_rectangle2 (RegionObj, Row, Column, Phi, Length1, Length2)</l>
<c>    *把所有键的图片放入一个Objs内</c>
<l>    concat_obj (RegionObjs, RegionObj, RegionObjs)</l>
<l>    dev_clear_window ()</l>
<l>    dev_display (Image)</l>
<l>    dev_display (RegionObj)</l>
<l>endfor</l>
<c>*对region进行排序</c>
<l>sort_region (RegionObjs, RegionObjs, 'first_point', 'true', 'column')</l>
<l>sort_region (RegionObjs, RegionObjs, 'first_point', 'true', 'row')</l>
<c>*将region转为image</c>
<l>for Index := 1 to Number by 1</l>
<l>    select_obj (RegionObjs, Obj, Index)</l>
<l>    reduce_domain (Image, Obj, ImageReduced)</l>
<l>    crop_domain (ImageReduced, ImagePart)</l>
<l>    concat_obj (ImageObjs, ImagePart, ImageObjs)</l>
<l>endfor</l>
<c></c>
<c></c>
<l>return ()</l>
</body>
<docu id="M071_GetImageObjs">
<parameters>
<parameter id="Col_begin"/>
<parameter id="Col_end"/>
<parameter id="Image"/>
<parameter id="ImageObjs"/>
<parameter id="SelectedRegions"/>
</parameters>
</docu>
</procedure>
</hdevelop>
M071BÅäÖÃ/Calculations/M071_GetImageObjs2.hdvp
New file
@@ -0,0 +1,64 @@
<?xml version="1.0" encoding="UTF-8"?>
<hdevelop file_version="1.1" halcon_version="12.0">
<procedure name="M071_GetImageObjs">
<interface>
<io>
<par name="SelectedRegions" base_type="iconic" dimension="0"/>
<par name="Image" base_type="iconic" dimension="0"/>
</io>
<oo>
<par name="ImageObjs" base_type="iconic" dimension="0"/>
</oo>
<ic>
<par name="Col_begin" base_type="ctrl" dimension="0"/>
<par name="Col_end" base_type="ctrl" dimension="0"/>
</ic>
</interface>
<body>
<c>*选择一列键盘</c>
<l>select_shape (SelectedRegions, SelectedRegions_Col, 'column1', 'and', Col_begin, Col_end)</l>
<l>count_obj (SelectedRegions_Col, Number)</l>
<c></c>
<c>*创建空对象</c>
<l>gen_empty_obj (RegionObjs)</l>
<l>gen_empty_obj (ImageObjs)</l>
<c></c>
<c>*遍历该列键盘的每一个键,将所有键的region放入一个Objs</c>
<l>for Index := 1 to Number by 1</l>
<l>    select_obj (SelectedRegions_Col, ObjectSelected, Index)</l>
<l>    smallest_rectangle2 (ObjectSelected, Row, Column, Phi, Length1, Length2)</l>
<c>    *将备选区域外扩</c>
<l>    Length1 := Length1 + 40</l>
<l>    Length2 := Length2 + 40</l>
<l>    gen_rectangle2 (RegionObj, Row, Column, Phi, Length1, Length2)</l>
<c>    *把所有键的图片放入一个Objs内</c>
<l>    concat_obj (RegionObjs, RegionObj, RegionObjs)</l>
<l>    dev_clear_window ()</l>
<l>    dev_display (Image)</l>
<l>    dev_display (RegionObj)</l>
<l>endfor</l>
<c>*对region进行排序</c>
<l>sort_region (RegionObjs, RegionObjs, 'first_point', 'true', 'column')</l>
<l>sort_region (RegionObjs, RegionObjs, 'first_point', 'true', 'row')</l>
<c>*将region转为image</c>
<l>for Index := 1 to Number by 1</l>
<l>    select_obj (RegionObjs, Obj, Index)</l>
<l>    reduce_domain (Image, Obj, ImageReduced)</l>
<l>    crop_domain (ImageReduced, ImagePart)</l>
<l>    concat_obj (ImageObjs, ImagePart, ImageObjs)</l>
<l>endfor</l>
<c></c>
<c></c>
<l>return ()</l>
</body>
<docu id="M071_GetImageObjs">
<parameters>
<parameter id="Col_begin"/>
<parameter id="Col_end"/>
<parameter id="Image"/>
<parameter id="ImageObjs"/>
<parameter id="SelectedRegions"/>
</parameters>
</docu>
</procedure>
</hdevelop>
M071BÅäÖÃ/Calculations/M071_GetImageObjs2_1.hdvp
New file
@@ -0,0 +1,64 @@
<?xml version="1.0" encoding="UTF-8"?>
<hdevelop file_version="1.1" halcon_version="12.0">
<procedure name="M071_GetImageObjs">
<interface>
<io>
<par name="SelectedRegions" base_type="iconic" dimension="0"/>
<par name="Image" base_type="iconic" dimension="0"/>
</io>
<oo>
<par name="ImageObjs" base_type="iconic" dimension="0"/>
</oo>
<ic>
<par name="Col_begin" base_type="ctrl" dimension="0"/>
<par name="Col_end" base_type="ctrl" dimension="0"/>
</ic>
</interface>
<body>
<c>*选择一列键盘</c>
<l>select_shape (SelectedRegions, SelectedRegions_Col, 'column1', 'and', Col_begin, Col_end)</l>
<l>count_obj (SelectedRegions_Col, Number)</l>
<c></c>
<c>*创建空对象</c>
<l>gen_empty_obj (RegionObjs)</l>
<l>gen_empty_obj (ImageObjs)</l>
<c></c>
<c>*遍历该列键盘的每一个键,将所有键的region放入一个Objs</c>
<l>for Index := 1 to Number by 1</l>
<l>    select_obj (SelectedRegions_Col, ObjectSelected, Index)</l>
<l>    smallest_rectangle2 (ObjectSelected, Row, Column, Phi, Length1, Length2)</l>
<c>    *将备选区域外扩</c>
<l>    Length1 := Length1 + 40</l>
<l>    Length2 := Length2 + 40</l>
<l>    gen_rectangle2 (RegionObj, Row, Column, Phi, Length1, Length2)</l>
<c>    *把所有键的图片放入一个Objs内</c>
<l>    concat_obj (RegionObjs, RegionObj, RegionObjs)</l>
<l>    dev_clear_window ()</l>
<l>    dev_display (Image)</l>
<l>    dev_display (RegionObj)</l>
<l>endfor</l>
<c>*对region进行排序</c>
<l>sort_region (RegionObjs, RegionObjs, 'first_point', 'true', 'column')</l>
<l>sort_region (RegionObjs, RegionObjs, 'first_point', 'true', 'row')</l>
<c>*将region转为image</c>
<l>for Index := 1 to Number by 1</l>
<l>    select_obj (RegionObjs, Obj, Index)</l>
<l>    reduce_domain (Image, Obj, ImageReduced)</l>
<l>    crop_domain (ImageReduced, ImagePart)</l>
<l>    concat_obj (ImageObjs, ImagePart, ImageObjs)</l>
<l>endfor</l>
<c></c>
<c></c>
<l>return ()</l>
</body>
<docu id="M071_GetImageObjs">
<parameters>
<parameter id="Col_begin"/>
<parameter id="Col_end"/>
<parameter id="Image"/>
<parameter id="ImageObjs"/>
<parameter id="SelectedRegions"/>
</parameters>
</docu>
</procedure>
</hdevelop>
M071BÅäÖÃ/Calculations/M071_GetImageObjs3.hdvp
New file
@@ -0,0 +1,64 @@
<?xml version="1.0" encoding="UTF-8"?>
<hdevelop file_version="1.1" halcon_version="12.0">
<procedure name="M071_GetImageObjs">
<interface>
<io>
<par name="SelectedRegions" base_type="iconic" dimension="0"/>
<par name="Image" base_type="iconic" dimension="0"/>
</io>
<oo>
<par name="ImageObjs" base_type="iconic" dimension="0"/>
</oo>
<ic>
<par name="Col_begin" base_type="ctrl" dimension="0"/>
<par name="Col_end" base_type="ctrl" dimension="0"/>
</ic>
</interface>
<body>
<c>*选择一列键盘</c>
<l>select_shape (SelectedRegions, SelectedRegions_Col, 'column1', 'and', Col_begin, Col_end)</l>
<l>count_obj (SelectedRegions_Col, Number)</l>
<c></c>
<c>*创建空对象</c>
<l>gen_empty_obj (RegionObjs)</l>
<l>gen_empty_obj (ImageObjs)</l>
<c></c>
<c>*遍历该列键盘的每一个键,将所有键的region放入一个Objs</c>
<l>for Index := 1 to Number by 1</l>
<l>    select_obj (SelectedRegions_Col, ObjectSelected, Index)</l>
<l>    smallest_rectangle2 (ObjectSelected, Row, Column, Phi, Length1, Length2)</l>
<c>    *将备选区域外扩</c>
<l>    Length1 := Length1 + 40</l>
<l>    Length2 := Length2 + 40</l>
<l>    gen_rectangle2 (RegionObj, Row, Column, Phi, Length1, Length2)</l>
<c>    *把所有键的图片放入一个Objs内</c>
<l>    concat_obj (RegionObjs, RegionObj, RegionObjs)</l>
<l>    dev_clear_window ()</l>
<l>    dev_display (Image)</l>
<l>    dev_display (RegionObj)</l>
<l>endfor</l>
<c>*对region进行排序</c>
<l>sort_region (RegionObjs, RegionObjs, 'first_point', 'true', 'column')</l>
<l>sort_region (RegionObjs, RegionObjs, 'first_point', 'true', 'row')</l>
<c>*将region转为image</c>
<l>for Index := 1 to Number by 1</l>
<l>    select_obj (RegionObjs, Obj, Index)</l>
<l>    reduce_domain (Image, Obj, ImageReduced)</l>
<l>    crop_domain (ImageReduced, ImagePart)</l>
<l>    concat_obj (ImageObjs, ImagePart, ImageObjs)</l>
<l>endfor</l>
<c></c>
<c></c>
<l>return ()</l>
</body>
<docu id="M071_GetImageObjs">
<parameters>
<parameter id="Col_begin"/>
<parameter id="Col_end"/>
<parameter id="Image"/>
<parameter id="ImageObjs"/>
<parameter id="SelectedRegions"/>
</parameters>
</docu>
</procedure>
</hdevelop>
M071BÅäÖÃ/Calculations/M071_GetImageObjs3_1.hdvp
New file
@@ -0,0 +1,64 @@
<?xml version="1.0" encoding="UTF-8"?>
<hdevelop file_version="1.1" halcon_version="12.0">
<procedure name="M071_GetImageObjs">
<interface>
<io>
<par name="SelectedRegions" base_type="iconic" dimension="0"/>
<par name="Image" base_type="iconic" dimension="0"/>
</io>
<oo>
<par name="ImageObjs" base_type="iconic" dimension="0"/>
</oo>
<ic>
<par name="Col_begin" base_type="ctrl" dimension="0"/>
<par name="Col_end" base_type="ctrl" dimension="0"/>
</ic>
</interface>
<body>
<c>*选择一列键盘</c>
<l>select_shape (SelectedRegions, SelectedRegions_Col, 'column1', 'and', Col_begin, Col_end)</l>
<l>count_obj (SelectedRegions_Col, Number)</l>
<c></c>
<c>*创建空对象</c>
<l>gen_empty_obj (RegionObjs)</l>
<l>gen_empty_obj (ImageObjs)</l>
<c></c>
<c>*遍历该列键盘的每一个键,将所有键的region放入一个Objs</c>
<l>for Index := 1 to Number by 1</l>
<l>    select_obj (SelectedRegions_Col, ObjectSelected, Index)</l>
<l>    smallest_rectangle2 (ObjectSelected, Row, Column, Phi, Length1, Length2)</l>
<c>    *将备选区域外扩</c>
<l>    Length1 := Length1 + 40</l>
<l>    Length2 := Length2 + 40</l>
<l>    gen_rectangle2 (RegionObj, Row, Column, Phi, Length1, Length2)</l>
<c>    *把所有键的图片放入一个Objs内</c>
<l>    concat_obj (RegionObjs, RegionObj, RegionObjs)</l>
<l>    dev_clear_window ()</l>
<l>    dev_display (Image)</l>
<l>    dev_display (RegionObj)</l>
<l>endfor</l>
<c>*对region进行排序</c>
<l>sort_region (RegionObjs, RegionObjs, 'first_point', 'true', 'column')</l>
<l>sort_region (RegionObjs, RegionObjs, 'first_point', 'true', 'row')</l>
<c>*将region转为image</c>
<l>for Index := 1 to Number by 1</l>
<l>    select_obj (RegionObjs, Obj, Index)</l>
<l>    reduce_domain (Image, Obj, ImageReduced)</l>
<l>    crop_domain (ImageReduced, ImagePart)</l>
<l>    concat_obj (ImageObjs, ImagePart, ImageObjs)</l>
<l>endfor</l>
<c></c>
<c></c>
<l>return ()</l>
</body>
<docu id="M071_GetImageObjs">
<parameters>
<parameter id="Col_begin"/>
<parameter id="Col_end"/>
<parameter id="Image"/>
<parameter id="ImageObjs"/>
<parameter id="SelectedRegions"/>
</parameters>
</docu>
</procedure>
</hdevelop>
M071BÅäÖÃ/Calculations/M071_GetImageObjs4.hdvp
New file
@@ -0,0 +1,64 @@
<?xml version="1.0" encoding="UTF-8"?>
<hdevelop file_version="1.1" halcon_version="12.0">
<procedure name="M071_GetImageObjs">
<interface>
<io>
<par name="SelectedRegions" base_type="iconic" dimension="0"/>
<par name="Image" base_type="iconic" dimension="0"/>
</io>
<oo>
<par name="ImageObjs" base_type="iconic" dimension="0"/>
</oo>
<ic>
<par name="Col_begin" base_type="ctrl" dimension="0"/>
<par name="Col_end" base_type="ctrl" dimension="0"/>
</ic>
</interface>
<body>
<c>*选择一列键盘</c>
<l>select_shape (SelectedRegions, SelectedRegions_Col, 'column1', 'and', Col_begin, Col_end)</l>
<l>count_obj (SelectedRegions_Col, Number)</l>
<c></c>
<c>*创建空对象</c>
<l>gen_empty_obj (RegionObjs)</l>
<l>gen_empty_obj (ImageObjs)</l>
<c></c>
<c>*遍历该列键盘的每一个键,将所有键的region放入一个Objs</c>
<l>for Index := 1 to Number by 1</l>
<l>    select_obj (SelectedRegions_Col, ObjectSelected, Index)</l>
<l>    smallest_rectangle2 (ObjectSelected, Row, Column, Phi, Length1, Length2)</l>
<c>    *将备选区域外扩</c>
<l>    Length1 := Length1 + 40</l>
<l>    Length2 := Length2 + 40</l>
<l>    gen_rectangle2 (RegionObj, Row, Column, Phi, Length1, Length2)</l>
<c>    *把所有键的图片放入一个Objs内</c>
<l>    concat_obj (RegionObjs, RegionObj, RegionObjs)</l>
<l>    dev_clear_window ()</l>
<l>    dev_display (Image)</l>
<l>    dev_display (RegionObj)</l>
<l>endfor</l>
<c>*对region进行排序</c>
<l>sort_region (RegionObjs, RegionObjs, 'first_point', 'true', 'column')</l>
<l>sort_region (RegionObjs, RegionObjs, 'first_point', 'true', 'row')</l>
<c>*将region转为image</c>
<l>for Index := 1 to Number by 1</l>
<l>    select_obj (RegionObjs, Obj, Index)</l>
<l>    reduce_domain (Image, Obj, ImageReduced)</l>
<l>    crop_domain (ImageReduced, ImagePart)</l>
<l>    concat_obj (ImageObjs, ImagePart, ImageObjs)</l>
<l>endfor</l>
<c></c>
<c></c>
<l>return ()</l>
</body>
<docu id="M071_GetImageObjs">
<parameters>
<parameter id="Col_begin"/>
<parameter id="Col_end"/>
<parameter id="Image"/>
<parameter id="ImageObjs"/>
<parameter id="SelectedRegions"/>
</parameters>
</docu>
</procedure>
</hdevelop>
M071BÅäÖÃ/Calculations/M071_GetResults.hdvp
New file
@@ -0,0 +1,244 @@
<?xml version="1.0" encoding="UTF-8"?>
<hdevelop file_version="1.1" halcon_version="12.0">
<procedure name="M071_GetResults">
<interface>
<io>
<par name="INPUT_Image" base_type="iconic" dimension="0"/>
</io>
<ic>
<par name="INPUT_Resolution_X" base_type="ctrl" dimension="0"/>
<par name="INPUT_Resolution_Y" base_type="ctrl" dimension="0"/>
<par name="INPUT_Resolution_Z" base_type="ctrl" dimension="0"/>
<par name="INPUT_ImageId" base_type="ctrl" dimension="0"/>
</ic>
<oc>
<par name="OUTPUT_Results" base_type="ctrl" dimension="0"/>
</oc>
</interface>
<body>
<c>*阈值修改</c>
<l>LowValue := 0</l>
<c>*取值半径</c>
<l>resultRadius := 8</l>
<c>*滤值参数</c>
<l>Low := 5</l>
<l>High := 10</l>
<c></c>
<l>z1 := []</l>
<l>z2 := []</l>
<l>z3 := []</l>
<l>z4 := []</l>
<l>OUTPUT_Results := []</l>
<c></c>
<c>*预处理获取最小外接矩形</c>
<l>threshold (INPUT_Image, Region, 3500 + LowValue, 12000)</l>
<l>dilation_rectangle1 (Region, Region, 5, 5)</l>
<l>connection (Region, ConnectedRegions)</l>
<l>select_shape (ConnectedRegions, SelectedRegions, 'area', 'and', 20000, 600000)</l>
<l>smallest_rectangle2 (SelectedRegions, Row, Column, Phi, Length1, Length2)</l>
<l>gen_rectangle2 (Rectangle, Row, Column, Phi, Length1 - (1.9/INPUT_Resolution_X), Length2 - (1.9/INPUT_Resolution_X))</l>
<c></c>
<c>*计算rectangle2四个顶点坐标</c>
<l>tuple_cos (Phi, Cos)</l>
<l>tuple_sin (Phi, Sin)</l>
<c>*左上</c>
<l>a := Length1*Cos - Length2*Sin</l>
<l>b := Length1*Sin + Length2*Cos</l>
<c>*右上</c>
<l>c := Length1*Cos + Length2*Sin</l>
<l>d := Length1*Sin - Length2*Cos</l>
<c>*右下</c>
<l>e := -Length1*Cos + Length2*Sin</l>
<l>f := -Length1*Sin - Length2*Cos</l>
<c>*左下</c>
<l>g := -Length1*Cos - Length2*Sin</l>
<l>h := -Length1*Sin + Length2*Cos</l>
<c></c>
<c>*矩形四点坐标</c>
<l>A := [Row - h, Column + g]</l>
<l>B := [Row - b, Column + a]</l>
<l>C := [Row - f, Column + e]</l>
<l>D := [Row - d, Column + c]</l>
<c></c>
<c>*判断坐标位置并排序</c>
<l>if(A[1] &lt; Column)</l>
<l>    if (A[0] &lt; Row)</l>
<l>        z1[0] := A[0]</l>
<l>        z1[1] := A[1]</l>
<l>    else</l>
<l>        z2[0] := A[0]</l>
<l>        z2[1] := A[1]</l>
<l>    endif</l>
<l>elseif (A[1] &gt; Column)</l>
<l>    if (A[0] &lt; Row)</l>
<l>        z3[0] := A[0]</l>
<l>        z3[1] := A[1]</l>
<l>    else</l>
<l>        z4[0] := A[0]</l>
<l>        z4[1] := A[1]</l>
<l>    endif</l>
<l>endif</l>
<l>if(B[1] &lt; Column)</l>
<l>    if (B[0] &lt; Row)</l>
<l>        z1[0] := B[0]</l>
<l>        z1[1] := B[1]</l>
<l>    else</l>
<l>        z2[0] := B[0]</l>
<l>        z2[1] := B[1]</l>
<l>    endif</l>
<l>elseif (B[1] &gt; Column)</l>
<l>    if (B[0] &lt; Row)</l>
<l>        z3[0] := B[0]</l>
<l>        z3[1] := B[1]</l>
<l>    else</l>
<l>        z4[0] := B[0]</l>
<l>        z4[1] := B[1]</l>
<l>    endif</l>
<l>endif</l>
<l>if(C[1] &lt; Column)</l>
<l>    if (C[0] &lt; Row)</l>
<l>        z1[0] := C[0]</l>
<l>        z1[1] := C[1]</l>
<l>    else</l>
<l>        z2[0] := C[0]</l>
<l>        z2[1] := C[1]</l>
<l>    endif</l>
<l>elseif (C[1] &gt; Column)</l>
<l>    if (C[0] &lt; Row)</l>
<l>        z3[0] := C[0]</l>
<l>        z3[1] := C[1]</l>
<l>    else</l>
<l>        z4[0] := C[0]</l>
<l>        z4[1] := C[1]</l>
<l>    endif</l>
<l>endif</l>
<l>if(D[1] &lt; Column)</l>
<l>    if (D[0] &lt; Row)</l>
<l>        z1[0] := D[0]</l>
<l>        z1[1] := D[1]</l>
<l>    else</l>
<l>        z2[0] := D[0]</l>
<l>        z2[1] := D[1]</l>
<l>    endif</l>
<l>elseif (D[1] &gt; Column)</l>
<l>    if (D[0] &lt; Row)</l>
<l>        z3[0] := D[0]</l>
<l>        z3[1] := D[1]</l>
<l>    else</l>
<l>        z4[0] := D[0]</l>
<l>        z4[1] := D[1]</l>
<l>    endif</l>
<l>endif</l>
<c></c>
<c>*所有点向内缩1.9mm</c>
<l>z1[0] := z1[0] + (1.9/INPUT_Resolution_Y)</l>
<l>z1[1] := z1[1] + (1.9/INPUT_Resolution_X)</l>
<l>z2[0] := z2[0] - (1.9/INPUT_Resolution_Y)</l>
<l>z2[1] := z2[1] + (1.9/INPUT_Resolution_X)</l>
<l>z3[0] := z3[0] + (1.9/INPUT_Resolution_Y)</l>
<l>z3[1] := z3[1] - (1.9/INPUT_Resolution_X)</l>
<l>z4[0] := z4[0] - (1.9/INPUT_Resolution_Y)</l>
<l>z4[1] := z4[1] - (1.9/INPUT_Resolution_X)</l>
<c></c>
<c>*显示取点中心</c>
<l>gen_cross_contour_xld(Cross, z1[0], z1[1], 6, Phi)</l>
<l>gen_cross_contour_xld(Cross, z2[0], z2[1], 6, Phi)</l>
<l>gen_cross_contour_xld(Cross, z3[0], z3[1], 6, Phi)</l>
<l>gen_cross_contour_xld(Cross, z4[0], z4[1], 6, Phi)</l>
<c></c>
<c></c>
<c>*获取Z1值,滤值</c>
<l>gen_circle (Circle, z1[0], z1[1], resultRadius)</l>
<l>if (Low &gt; 50)</l>
<l>    min_max_gray (Circle, INPUT_Image, 100 - Low, Min, LowGray, Range)</l>
<l>    min_max_gray (Circle, INPUT_Image, High, Min, HighGray, Range)</l>
<l>elseif (High &gt; 50)</l>
<l>    min_max_gray (Circle, INPUT_Image, Low, LowGray, Max, Range)</l>
<l>    min_max_gray (Circle, INPUT_Image, 100 - High, HighGray, Max, Range)</l>
<l>else</l>
<l>    min_max_gray (Circle, INPUT_Image, 50, LowGray, HighGray, Range)</l>
<l>endif</l>
<c>*如果上下限相等,则直接取中位数,否则滤值</c>
<l>if(LowGray == HighGray)</l>
<l>    result1 := LowGray</l>
<l>else</l>
<l>    reduce_domain (INPUT_Image, Circle, ImageReduced)  </l>
<l>    threshold (ImageReduced, Region, LowGray, HighGray)</l>
<l>    min_max_gray (Region, ImageReduced, 50, result1, Max, Range)</l>
<l>endif</l>
<c></c>
<c>*获取Z2值,滤值</c>
<l>gen_circle (Circle, z2[0], z2[1], resultRadius)</l>
<l>if (Low &gt; 50)</l>
<l>    min_max_gray (Circle, INPUT_Image, 100 - Low, Min, LowGray, Range)</l>
<l>    min_max_gray (Circle, INPUT_Image, High, Min, HighGray, Range)</l>
<l>elseif (High &gt; 50)</l>
<l>    min_max_gray (Circle, INPUT_Image, Low, LowGray, Max, Range)</l>
<l>    min_max_gray (Circle, INPUT_Image, 100 - High, HighGray, Max, Range)</l>
<l>else</l>
<l>    min_max_gray (Circle, INPUT_Image, 50, LowGray, HighGray, Range)</l>
<l>endif</l>
<c>*如果上下限相等,则直接取中位数,否则滤值</c>
<l>if(LowGray == HighGray)</l>
<l>    result2 := LowGray</l>
<l>else</l>
<l>    reduce_domain (INPUT_Image, Circle, ImageReduced)  </l>
<l>    threshold (ImageReduced, Region, LowGray, HighGray)</l>
<l>    min_max_gray (Region, ImageReduced, 50, result2, Max, Range)</l>
<l>endif</l>
<c></c>
<c>*获取Z3值,滤值</c>
<l>gen_circle (Circle, z3[0], z3[1], resultRadius)</l>
<l>if (Low &gt; 50)</l>
<l>    min_max_gray (Circle, INPUT_Image, 100 - Low, Min, LowGray, Range)</l>
<l>    min_max_gray (Circle, INPUT_Image, High, Min, HighGray, Range)</l>
<l>elseif (High &gt; 50)</l>
<l>    min_max_gray (Circle, INPUT_Image, Low, LowGray, Max, Range)</l>
<l>    min_max_gray (Circle, INPUT_Image, 100 - High, HighGray, Max, Range)</l>
<l>else</l>
<l>    min_max_gray (Circle, INPUT_Image, 50, LowGray, HighGray, Range)</l>
<l>endif</l>
<c>*如果上下限相等,则直接取中位数,否则滤值</c>
<l>if(LowGray == HighGray)</l>
<l>    result3 := LowGray</l>
<l>else</l>
<l>    reduce_domain (INPUT_Image, Circle, ImageReduced)  </l>
<l>    threshold (ImageReduced, Region, LowGray, HighGray)</l>
<l>    min_max_gray (Region, ImageReduced, 50, result3, Max, Range)</l>
<l>endif</l>
<c></c>
<c>*获取Z4值,滤值</c>
<l>gen_circle (Circle, z4[0], z4[1], resultRadius)</l>
<l>if (Low &gt; 50)</l>
<l>    min_max_gray (Circle, INPUT_Image, 100 - Low, Min, LowGray, Range)</l>
<l>    min_max_gray (Circle, INPUT_Image, High, Min, HighGray, Range)</l>
<l>elseif (High &gt; 50)</l>
<l>    min_max_gray (Circle, INPUT_Image, Low, LowGray, Max, Range)</l>
<l>    min_max_gray (Circle, INPUT_Image, 100 - High, HighGray, Max, Range)</l>
<l>else</l>
<l>    min_max_gray (Circle, INPUT_Image, 50, LowGray, HighGray, Range)</l>
<l>endif</l>
<c>*如果上下限相等,则直接取中位数,否则滤值</c>
<l>if(LowGray == HighGray)</l>
<l>    result4 := LowGray</l>
<l>else</l>
<l>    reduce_domain (INPUT_Image, Circle, ImageReduced)  </l>
<l>    threshold (ImageReduced, Region, LowGray, HighGray)</l>
<l>    min_max_gray (Region, ImageReduced, 50, result4, Max, Range)</l>
<l>endif</l>
<c></c>
<l>OUTPUT_Results := [result1*INPUT_Resolution_Z, result2*INPUT_Resolution_Z, result3*INPUT_Resolution_Z, result4*INPUT_Resolution_Z]</l>
<l>return ()</l>
</body>
<docu id="M071_GetResults">
<parameters>
<parameter id="INPUT_Image"/>
<parameter id="INPUT_ImageId"/>
<parameter id="INPUT_Resolution_X"/>
<parameter id="INPUT_Resolution_Y"/>
<parameter id="INPUT_Resolution_Z"/>
<parameter id="OUTPUT_Results"/>
</parameters>
</docu>
</procedure>
</hdevelop>
M071BÅäÖÃ/Calculations/M071_Max_Min.hdvp
New file
@@ -0,0 +1,33 @@
<?xml version="1.0" encoding="UTF-8"?>
<hdevelop file_version="1.1" halcon_version="12.0">
<procedure name="M071_Max_Min">
<interface>
<ic>
<par name="INPUT_Params" base_type="ctrl" dimension="0"/>
</ic>
<oc>
<par name="OUTPUT_Result" base_type="ctrl" dimension="0"/>
</oc>
</interface>
<body>
<c>*判断是否有-999</c>
<l>for Index := 0 to |INPUT_Params| - 1 by 1</l>
<l>    if (INPUT_Params[Index] == -999)</l>
<l>        OUTPUT_Result := -999</l>
<l>        return ()</l>
<l>    endif</l>
<l>endfor</l>
<c>*求值</c>
<l>tuple_max (INPUT_Params, Max)</l>
<l>tuple_min (INPUT_Params, Min)</l>
<l>OUTPUT_Result := Max - Min</l>
<l>return ()</l>
</body>
<docu id="M071_Max_Min">
<parameters>
<parameter id="INPUT_Params"/>
<parameter id="OUTPUT_Result"/>
</parameters>
</docu>
</procedure>
</hdevelop>
M071BÅäÖÃ/Calculations/M071_RowAlignment.hdvp
New file
@@ -0,0 +1,29 @@
<?xml version="1.0" encoding="UTF-8"?>
<hdevelop file_version="1.1" halcon_version="12.0">
<procedure name="M071_Max_Min2">
<interface>
<ic>
<par name="INPUT_Params" base_type="ctrl" dimension="0"/>
</ic>
<oc>
<par name="OUTPUT_Result" base_type="ctrl" dimension="0"/>
</oc>
</interface>
<body>
<l>tempTuple := []</l>
<l>for Index := 0 to |INPUT_Params| - 1 by 2</l>
<l>    tempTuple[Index] := abs(INPUT_Params[Index] - INPUT_Params[Index + 1])</l>
<l>endfor</l>
<l>tuple_max (tempTuple, Max)</l>
<l>tuple_min (tempTuple, Min)</l>
<l>OUTPUT_Result := Max - Min</l>
<l>return ()</l>
</body>
<docu id="M071_Max_Min2">
<parameters>
<parameter id="INPUT_Params"/>
<parameter id="OUTPUT_Result"/>
</parameters>
</docu>
</procedure>
</hdevelop>
M071BÅäÖÃ/Calculations/Main.hdev
New file
@@ -0,0 +1,23 @@
<?xml version="1.0" encoding="UTF-8"?>
<hdevelop file_version="1.1" halcon_version="12.0">
<procedure name="main">
<interface/>
<body>
<l>read_image (Image, 'D:/PROJECTS/M071/Images/20200821/Origin/153757310.tif')</l>
<l>M071_CutImage2 (Image, ImageObjs)</l>
<l>select_obj (ImageObjs, ImageObj, 36)</l>
<c></c>
<c></c>
<l>M071_GetResults (ImageObj, 0.057, 0.07, 0.0003, 1, outputResults)</l>
<c></c>
<c></c>
<c></c>
<c></c>
<c></c>
<c></c>
</body>
<docu id="main">
<parameters/>
</docu>
</procedure>
</hdevelop>
M071BÅäÖÃ/Calculations/Mult_Test.hdev
New file
@@ -0,0 +1,19 @@
<?xml version="1.0" encoding="UTF-8"?>
<hdevelop file_version="1.1" halcon_version="12.0">
<procedure name="main">
<interface/>
<body>
<l>read_image (Image, 'D:/PROJECTS/M071/Images/20200821/Origin/163126048.tif')</l>
<c></c>
<l>M071_CutImage1 (Image, OUTPUT_Images)</l>
<l>count_obj (OUTPUT_Images, Number)</l>
<l>for Index := 1 to Number by 1</l>
<l>    select_obj (OUTPUT_Images, ObjectSelected, Index)</l>
<l>    M071_GetResults (ObjectSelected, 0.057, 0.07, 0.0003, Index, OUTPUT_Results)</l>
<l>endfor</l>
</body>
<docu id="main">
<parameters/>
</docu>
</procedure>
</hdevelop>
M071BÅäÖÃ/Calculations/Test.hdev
New file
@@ -0,0 +1,69 @@
<?xml version="1.0" encoding="UTF-8"?>
<hdevelop file_version="1.1" halcon_version="12.0">
<procedure name="main">
<interface/>
<body>
<c>*输入图片路径,例如:'D:/test/1.tif',注意使用反斜杠'/'</c>
<l>Path1 := ''</l>
<l>read_image (Image1, 'D:/PROJECTS/M071/Images/20200819/Origin/132913772.tif')</l>
<l>Path2 := ''</l>
<l>read_image (Image2, 'D:/PROJECTS/M071/Images/20200819/Origin/132917302.tif')</l>
<l>Number1 := 0</l>
<l>Number2 := 0</l>
<c></c>
<c>*第几张图</c>
<l>Pic := 2</l>
<c>*第几个键</c>
<l>KeyNum := 12</l>
<c></c>
<l>SinglePic := 0</l>
<l>if (SinglePic == 0)</l>
<l>    if (KeyNum &lt;= 0 or KeyNum &gt; 43)</l>
<l>        throw ('KeyNum is illegal!')</l>
<l>    endif</l>
<c>    </c>
<l>    if (Pic == 1)</l>
<l>        try</l>
<l>        M071_CutImage1 (Image1, OUTPUT_Images)</l>
<l>        count_obj (OUTPUT_Images, Number1)</l>
<l>        select_obj (OUTPUT_Images, ObjectSelected, KeyNum)</l>
<l>        catch (Exception)</l>
<l>            throw ('截图1异常')</l>
<l>            stop ()</l>
<l>        endtry</l>
<c>    </c>
<l>    elseif (Pic == 2)</l>
<l>        try</l>
<l>        M071_CutImage2 (Image2, OUTPUT_Images)</l>
<l>        count_obj (OUTPUT_Images, Number2)</l>
<l>        select_obj (OUTPUT_Images, ObjectSelected, KeyNum)</l>
<l>        catch (Exception)</l>
<l>            throw ('截图2异常')</l>
<l>            stop ()</l>
<l>        endtry</l>
<c>        </c>
<l>    else</l>
<l>        throw('Image number is illegal!')</l>
<l>    endif</l>
<c>    </c>
<l>    if (Number1 == 43 or Number2 == 36)</l>
<l>        try</l>
<l>        M071_GetResults (ObjectSelected, 0.056, 0.0008,0, OUTPUT_Results)</l>
<l>        catch (Exception)</l>
<l>            throw ('数据计算异常')</l>
<l>            stop ()</l>
<l>        endtry</l>
<l>    endif</l>
<l>else</l>
<l>    M071_GetResults (Image2, 0.056, 0.0008,0, OUTPUT_Results)</l>
<l>endif</l>
<c></c>
<c></c>
<c></c>
<c></c>
</body>
<docu id="main">
<parameters/>
</docu>
</procedure>
</hdevelop>
M071BÅäÖÃ/Calculations/temp.hdev
New file
@@ -0,0 +1,28 @@
<?xml version="1.0" encoding="UTF-8"?>
<hdevelop file_version="1.1" halcon_version="12.0">
<procedure name="main">
<interface/>
<body>
<c as_id="image_acquisition" as_name="Image Acquisition 01" as_grp="[1,1]" as_ord="1">* Image Acquisition 01: Code generated by Image Acquisition 01</c>
<l as_id="image_acquisition" as_name="Image Acquisition 01" as_grp="[1,2]" as_ord="1">list_files ('D:/niko.zhang/新建文件夹/Origin/Origin', ['files','follow_links'], ImageFiles)</l>
<l as_id="image_acquisition" as_name="Image Acquisition 01" as_grp="[1,3]" as_ord="1">tuple_regexp_select (ImageFiles, ['\\.(tif|tiff|gif|bmp|jpg|jpeg|jp2|png|pcx|pgm|ppm|pbm|xwd|ima|hobj)$','ignore_case'], ImageFiles)</l>
<l as_id="image_acquisition" as_name="Image Acquisition 01" as_grp="[2,2]" as_ord="1">for Index := 0 to |ImageFiles| - 1 by 1</l>
<l as_id="image_acquisition" as_name="Image Acquisition 01" as_grp="[2,3]" as_ord="1">    read_image (Image, ImageFiles[Index])</l>
<c as_id="image_acquisition" as_name="Image Acquisition 01" as_grp="[2,4]" as_ord="1">    * Image Acquisition 01: Do something</c>
<l>    threshold (Image, Region, 9000, 12000)</l>
<l>    reduce_domain (Image, Region, ImageReduced)</l>
<l>    crop_domain (ImageReduced, ImagePart)</l>
<l>    gen_rectangle1 (ROI_0, 80, 55, 289, 283)</l>
<l>    gen_rectangle1 (TMP_Region, 5096, 55, 5305, 283)</l>
<c></c>
<l>    min_max_gray (ROI_0, ImagePart, 0, Min, Max, Range)</l>
<l>    min_max_gray (TMP_Region, ImagePart, 0, Min1, Max1, Range1)</l>
<l>    result := Max - Max1</l>
<l as_id="image_acquisition" as_name="Image Acquisition 01" as_grp="[3,1]" as_ord="1">endfor</l>
<c></c>
</body>
<docu id="main">
<parameters/>
</docu>
</procedure>
</hdevelop>
M071BÅäÖÃ/Configs/0819.job
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M071BÅäÖÃ/Configs/Config.json
New file
@@ -0,0 +1 @@
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eneric.List`1[[Bro.Common.Model.MovingOption, Bro.Common.Model]], mscorlib","$values":[]},"DelayBefore":0,"DelayAfter":0},{"$type":"Bro.Common.Base.MotionCardOperationSet, Bro.Common.Device","MotionCardId":"332E52C9-8CD2-4B22-B2DA-C4125F93BF66","PreCheckIOCollection":{"$type":"System.Collections.Generic.List`1[[Bro.Common.Model.IORefrenceItem, Bro.Common.Model]], mscorlib","$values":[]},"PreCheckIOTimeout":0,"IOOutputCollection":{"$type":"System.Collections.Generic.List`1[[Bro.Common.Model.IORefrenceItem, Bro.Common.Model]], mscorlib","$values":[]},"IOConfirmCollection":{"$type":"System.Collections.Generic.List`1[[Bro.Common.Model.IORefrenceItem, Bro.Common.Model]], mscorlib","$values":[]},"IOConfirmTimeout":0,"MovingOps":{"$type":"System.Collections.Generic.List`1[[Bro.Common.Model.MovingOption, Bro.Common.Model]], mscorlib","$values":[{"$type":"Bro.Common.Model.MovingOption, Bro.Common.Model","AxisIndexStr":"1","MoveMode":1,"IsAbsolute":true,"Destination":609634,"VelocityPara":{"$type":"Bro.Common.Model.VelocityPara, Bro.Common.Model","Velocity":200.0,"Acc":0.0,"Dec":0.0},"MovingTimeout":0},{"$type":"Bro.Common.Model.MovingOption, Bro.Common.Model","AxisIndexStr":"2","MoveMode":1,"IsAbsolute":true,"Destination":0,"VelocityPara":{"$type":"Bro.Common.Model.VelocityPara, Bro.Common.Model","Velocity":200.0,"Acc":0.0,"Dec":0.0},"MovingTimeout":0}]},"DelayBefore":0,"DelayAfter":0}]},"ExceptionValue":0,"ReTryTimes":3,"MonitorSetId":"2aaaaff3-1be1-489c-8603-7cbb08ca017f"},"Name":"","DisplayText":"运动板卡  GotoReadyPosition-运动到预备位置"}]}}
M071BÅäÖÃ/Configs/KeyBoard-С°®.bmp
M071BÅäÖÃ/Configs/M071B-GTS400-20200814.cfg
New file
@@ -0,0 +1,734 @@
[profile1]
active=1
decSmoothStop=1.000000
decAbruptStop=1000.000000
[profile2]
active=1
decSmoothStop=1.000000
decAbruptStop=1000.000000
[profile3]
active=1
decSmoothStop=1.000000
decAbruptStop=1000.000000
[profile4]
active=1
decSmoothStop=1.000000
decAbruptStop=1000.000000
[profile5]
active=1
decSmoothStop=1.000000
decAbruptStop=1000.000000
[profile6]
active=1
decSmoothStop=1.000000
decAbruptStop=1000.000000
[profile7]
active=1
decSmoothStop=1.000000
decAbruptStop=1000.000000
[profile8]
active=1
decSmoothStop=1.000000
decAbruptStop=1000.000000
[axis1]
active=1
alarmType=2
alarmIndex=1
limitPositiveType=0
limitPositiveIndex=1
limitNegativeType=1
limitNegativeIndex=1
smoothStopType=4
smoothStopIndex=-1
abruptStopType=4
abruptStopIndex=4
prfMap=0x1
encMap=0x1
prfMapAlpha1=1
prfMapBeta1=1
prfMapAlpha2=1
prfMapBeta2=1
encMapAlpha1=1
encMapBeta1=1
encMapAlpha2=1
encMapBeta2=1
[axis2]
active=1
alarmType=2
alarmIndex=2
limitPositiveType=0
limitPositiveIndex=2
limitNegativeType=1
limitNegativeIndex=2
smoothStopType=4
smoothStopIndex=-1
abruptStopType=4
abruptStopIndex=4
prfMap=0x2
encMap=0x2
prfMapAlpha1=1
prfMapBeta1=1
prfMapAlpha2=1
prfMapBeta2=1
encMapAlpha1=1
encMapBeta1=1
encMapAlpha2=1
encMapBeta2=1
[axis3]
active=1
alarmType=2
alarmIndex=3
limitPositiveType=0
limitPositiveIndex=3
limitNegativeType=1
limitNegativeIndex=3
smoothStopType=4
smoothStopIndex=-1
abruptStopType=4
abruptStopIndex=-1
prfMap=0x4
encMap=0x4
prfMapAlpha1=1
prfMapBeta1=1
prfMapAlpha2=1
prfMapBeta2=1
encMapAlpha1=1
encMapBeta1=1
encMapAlpha2=1
encMapBeta2=1
[axis4]
active=1
alarmType=2
alarmIndex=4
limitPositiveType=0
limitPositiveIndex=4
limitNegativeType=1
limitNegativeIndex=4
smoothStopType=4
smoothStopIndex=-1
abruptStopType=4
abruptStopIndex=-1
prfMap=0x8
encMap=0x8
prfMapAlpha1=1
prfMapBeta1=1
prfMapAlpha2=1
prfMapBeta2=1
encMapAlpha1=1
encMapBeta1=1
encMapAlpha2=1
encMapBeta2=1
[axis5]
active=1
alarmType=2
alarmIndex=5
limitPositiveType=0
limitPositiveIndex=5
limitNegativeType=1
limitNegativeIndex=5
smoothStopType=4
smoothStopIndex=-1
abruptStopType=4
abruptStopIndex=-1
prfMap=0x10
encMap=0x10
prfMapAlpha1=1
prfMapBeta1=1
prfMapAlpha2=1
prfMapBeta2=1
encMapAlpha1=1
encMapBeta1=1
encMapAlpha2=1
encMapBeta2=1
[axis6]
active=1
alarmType=2
alarmIndex=6
limitPositiveType=0
limitPositiveIndex=6
limitNegativeType=1
limitNegativeIndex=6
smoothStopType=4
smoothStopIndex=-1
abruptStopType=4
abruptStopIndex=-1
prfMap=0x20
encMap=0x20
prfMapAlpha1=1
prfMapBeta1=1
prfMapAlpha2=1
prfMapBeta2=1
encMapAlpha1=1
encMapBeta1=1
encMapAlpha2=1
encMapBeta2=1
[axis7]
active=1
alarmType=2
alarmIndex=7
limitPositiveType=0
limitPositiveIndex=7
limitNegativeType=1
limitNegativeIndex=7
smoothStopType=4
smoothStopIndex=-1
abruptStopType=4
abruptStopIndex=-1
prfMap=0x40
encMap=0x40
prfMapAlpha1=1
prfMapBeta1=1
prfMapAlpha2=1
prfMapBeta2=1
encMapAlpha1=1
encMapBeta1=1
encMapAlpha2=1
encMapBeta2=1
[axis8]
active=1
alarmType=2
alarmIndex=8
limitPositiveType=0
limitPositiveIndex=8
limitNegativeType=1
limitNegativeIndex=8
smoothStopType=4
smoothStopIndex=-1
abruptStopType=4
abruptStopIndex=-1
prfMap=0x80
encMap=0x80
prfMapAlpha1=1
prfMapBeta1=1
prfMapAlpha2=1
prfMapBeta2=1
encMapAlpha1=1
encMapBeta1=1
encMapAlpha2=1
encMapBeta2=1
[dac1]
active=1
control=-1
reverse=0
bias=0
limit=32767
[dac2]
active=1
control=-1
reverse=0
bias=0
limit=32767
[dac3]
active=1
control=-1
reverse=0
bias=0
limit=32767
[dac4]
active=1
control=-1
reverse=0
bias=0
limit=32767
[dac5]
active=1
control=-1
reverse=0
bias=0
limit=32767
[dac6]
active=1
control=-1
reverse=0
bias=0
limit=32767
[dac7]
active=1
control=-1
reverse=0
bias=0
limit=32767
[dac8]
active=1
control=-1
reverse=0
bias=0
limit=32767
[step1]
active=1
axis=1
mode=1
parameter=0
reverse=0
[step2]
active=1
axis=2
mode=1
parameter=0
reverse=0
[step3]
active=1
axis=3
mode=0
parameter=0
reverse=0
[step4]
active=1
axis=4
mode=0
parameter=0
reverse=0
[encoder1]
active=1
reverse=0
filterType=0
captureSource=0
captureHomeSense=0
captureIndexSense=0
[encoder2]
active=1
reverse=0
filterType=0
captureSource=0
captureHomeSense=0
captureIndexSense=0
[encoder3]
active=1
reverse=1
filterType=0
captureSource=0
captureHomeSense=0
captureIndexSense=0
[encoder4]
active=1
reverse=1
filterType=0
captureSource=0
captureHomeSense=0
captureIndexSense=0
[encoder5]
active=1
reverse=1
filterType=0
captureSource=0
captureHomeSense=0
captureIndexSense=0
[encoder6]
active=1
reverse=1
filterType=0
captureSource=0
captureHomeSense=0
captureIndexSense=0
[encoder7]
active=1
reverse=1
filterType=0
captureSource=0
captureHomeSense=0
captureIndexSense=0
[encoder8]
active=1
reverse=1
filterType=0
captureSource=0
captureHomeSense=0
captureIndexSense=0
[encoder9]
active=1
reverse=1
filterType=0
captureSource=0
captureHomeSense=0
captureIndexSense=0
[encoder10]
active=1
reverse=1
filterType=0
captureSource=0
captureHomeSense=0
captureIndexSense=0
[enable1]
active=1
axis=1
axisItem=-1
reverse=1
[enable2]
active=1
axis=2
axisItem=-1
reverse=1
[enable3]
active=1
axis=3
axisItem=-1
reverse=1
[enable4]
active=1
axis=4
axisItem=-1
reverse=1
[enable5]
active=1
axis=5
axisItem=-1
reverse=1
[enable6]
active=1
axis=6
axisItem=-1
reverse=1
[enable7]
active=1
axis=7
axisItem=-1
reverse=1
[enable8]
active=1
axis=8
axisItem=-1
reverse=1
[clear1]
active=1
axis=-1
axisItem=-1
reverse=0
[clear2]
active=1
axis=-1
axisItem=-1
reverse=0
[clear3]
active=1
axis=-1
axisItem=-1
reverse=0
[clear4]
active=1
axis=-1
axisItem=-1
reverse=0
[clear5]
active=1
axis=-1
axisItem=-1
reverse=0
[clear6]
active=1
axis=-1
axisItem=-1
reverse=0
[clear7]
active=1
axis=-1
axisItem=-1
reverse=0
[clear8]
active=1
axis=-1
axisItem=-1
reverse=0
[gpo1]
active=1
axis=-1
axisItem=-1
reverse=0
[gpo2]
active=1
axis=-1
axisItem=-1
reverse=0
[gpo3]
active=1
axis=-1
axisItem=-1
reverse=0
[gpo4]
active=1
axis=-1
axisItem=-1
reverse=0
[gpo5]
active=1
axis=-1
axisItem=-1
reverse=0
[gpo6]
active=1
axis=-1
axisItem=-1
reverse=0
[gpo7]
active=1
axis=-1
axisItem=-1
reverse=0
[gpo8]
active=1
axis=-1
axisItem=-1
reverse=0
[gpo9]
active=1
axis=-1
axisItem=-1
reverse=0
[gpo10]
active=1
axis=-1
axisItem=-1
reverse=0
[gpo11]
active=1
axis=-1
axisItem=-1
reverse=0
[gpo12]
active=1
axis=-1
axisItem=-1
reverse=0
[gpo13]
active=1
axis=-1
axisItem=-1
reverse=0
[gpo14]
active=1
axis=-1
axisItem=-1
reverse=0
[gpo15]
active=1
axis=-1
axisItem=-1
reverse=0
[gpo16]
active=1
axis=-1
axisItem=-1
reverse=0
[limitPositive1]
active=1
reverse=0
filterTime=3
[limitPositive2]
active=1
reverse=0
filterTime=3
[limitPositive3]
active=1
reverse=0
filterTime=3
[limitPositive4]
active=1
reverse=0
filterTime=3
[limitPositive5]
active=1
reverse=0
filterTime=3
[limitPositive6]
active=1
reverse=0
filterTime=3
[limitPositive7]
active=1
reverse=0
filterTime=3
[limitPositive8]
active=1
reverse=0
filterTime=3
[limitNegative1]
active=1
reverse=0
filterTime=3
[limitNegative2]
active=1
reverse=0
filterTime=3
[limitNegative3]
active=1
reverse=0
filterTime=3
[limitNegative4]
active=1
reverse=0
filterTime=3
[limitNegative5]
active=1
reverse=0
filterTime=3
[limitNegative6]
active=1
reverse=0
filterTime=3
[limitNegative7]
active=1
reverse=0
filterTime=3
[limitNegative8]
active=1
reverse=0
filterTime=3
[alarm1]
active=1
reverse=0
filterTime=3
[alarm2]
active=1
reverse=0
filterTime=3
[alarm3]
active=1
reverse=0
filterTime=3
[alarm4]
active=1
reverse=0
filterTime=3
[alarm5]
active=1
reverse=0
filterTime=3
[alarm6]
active=1
reverse=0
filterTime=3
[alarm7]
active=1
reverse=0
filterTime=3
[alarm8]
active=1
reverse=0
filterTime=3
[home1]
active=1
reverse=0
filterTime=300
[home2]
active=1
reverse=0
filterTime=300
[home3]
active=1
reverse=0
filterTime=3
[home4]
active=1
reverse=0
filterTime=3
[home5]
active=1
reverse=0
filterTime=3
[home6]
active=1
reverse=0
filterTime=3
[home7]
active=1
reverse=0
filterTime=3
[home8]
active=1
reverse=0
filterTime=3
[gpi1]
active=1
reverse=0
filterTime=3
[gpi2]
active=1
reverse=0
filterTime=3
[gpi3]
active=1
reverse=0
filterTime=3
[gpi4]
active=1
reverse=0
filterTime=3
[gpi5]
active=1
reverse=0
filterTime=3
[gpi6]
active=1
reverse=0
filterTime=3
[gpi7]
active=1
reverse=0
filterTime=3
[gpi8]
active=1
reverse=0
filterTime=3
[gpi9]
active=1
reverse=0
filterTime=3
[gpi10]
active=1
reverse=0
filterTime=3
[gpi11]
active=1
reverse=0
filterTime=3
[gpi12]
active=1
reverse=0
filterTime=3
[gpi13]
active=1
reverse=0
filterTime=3
[gpi14]
active=1
reverse=0
filterTime=3
[gpi15]
active=1
reverse=0
filterTime=3
[gpi16]
active=1
reverse=0
filterTime=3
[arrive1]
active=1
reverse=0
filterTime=3
[arrive2]
active=1
reverse=0
filterTime=3
[arrive3]
active=1
reverse=0
filterTime=3
[arrive4]
active=1
reverse=0
filterTime=3
[arrive5]
active=1
reverse=0
filterTime=3
[arrive6]
active=1
reverse=0
filterTime=3
[arrive7]
active=1
reverse=0
filterTime=3
[arrive8]
active=1
reverse=0
filterTime=3
src/Bro.Common.Device/DeviceBase/CameraBase.cs
@@ -155,7 +155,7 @@
            set.IsAddtionalSaved = string.IsNullOrWhiteSpace(set.ImageSaveOption.AddtionalSaveType);
            set.OnImageSetTimeout += ImageSet_OnImageSetTimeout;
            _imageSetList.Add(set);
            _imageSetList[set.Id] = set;
        }
        /// <summary>
@@ -175,7 +175,8 @@
        #endregion
        #region å›¾ç‰‡ç¼“å­˜/保存
        public readonly ConcurrentBag<IImageSet> _imageSetList = new ConcurrentBag<IImageSet>();
        //public readonly ConcurrentBag<IImageSet> _imageSetList = new ConcurrentBag<IImageSet>();
        protected Dictionary<string, IImageSet> _imageSetList = new Dictionary<string, IImageSet>();
        public void NewImageSet(IImageSet set)
        {
@@ -183,7 +184,7 @@
            set.IsFitSaved = !set.ImageSaveOption.IsSaveFitImage;
            set.IsAddtionalSaved = string.IsNullOrWhiteSpace(set.ImageSaveOption.AddtionalSaveType);
            set.OnImageSetTimeout += ImageSet_OnImageSetTimeout;
            _imageSetList.Add(set);
            _imageSetList[set.Id] = set;
        }
        //public virtual async void UpdateFitElements(List<IShapeElement> eleList, string imgSetId)
@@ -201,7 +202,7 @@
                OnImageUpdated?.Invoke(this, showImage, imgSetId);
            });
            IImageSet set = _imageSetList.FirstOrDefault(u => u.Id == imgSetId);
            IImageSet set = _imageSetList[imgSetId];
            if (set == null)
                return;
@@ -236,7 +237,7 @@
            if (eleList.Count > 0)
                OnElementsUpdated?.BeginInvoke(this, eleList, imgSetId, null, null);
            IImageSet set = _imageSetList.FirstOrDefault(u => u.Id == imgSetId);
            IImageSet set = _imageSetList[imgSetId];
            if (set == null)
                return;
@@ -300,7 +301,7 @@
        {
            await Task.Run(() =>
            {
                IImageSet set = _imageSetList.FirstOrDefault(u => u.Id == imgSetId);
                IImageSet set = _imageSetList[imgSetId];
                if (set == null)
                    return;
@@ -366,7 +367,7 @@
        //private Timer clearImageSetTimer = null;
        public void ClearImageSet(IImageSet set)
        public virtual void ClearImageSet(IImageSet set)
        {
            try
            {
@@ -375,9 +376,8 @@
                //    && (!set.ImageSaveOption.IsSaveNGImage || set.IsNGSaved))
                if (set.IsOriginSaved && set.IsFitSaved && set.IsAddtionalSaved)
                {
                    _imageSetList.TryTake(out set);
                    set.Dispose();
                    //LogAsync(DateTime.Now, $"移除图片信息,当前缓存数量:{_imageSetList.Count}", "");
                    _imageSetList.Remove(set.Id);
                    LogAsync(DateTime.Now, $"移除图片信息,当前缓存数量:{_imageSetList.Count}", "");
                }
                //bool flag = false;
@@ -397,7 +397,7 @@
        public void ClearImageSet(string imgSetId)
        {
            IImageSet set = _imageSetList.First(u => u.Id == imgSetId);
            IImageSet set = _imageSetList[imgSetId];
            if (set != null)
                ClearImageSet(set);
        }
@@ -833,7 +833,7 @@
        }
    }
    public interface IImageSet : IDisposable
    public interface IImageSet:IDisposable
    {
        DateTime InitialTime { get; set; }
        string Id { get; }
@@ -897,26 +897,22 @@
        public event Action<ImageSet> OnImageSetTimeout;
        private Timer autoDisposeTimer = null;
        private void OnAutoDispose(object state)
        public void Dispose(object state)
        {
            OnImageSetTimeout?.Invoke(this);
        }
        public ImageSet()
        {
            autoDisposeTimer = new Timer(OnAutoDispose, null, 10 * 1000, -1);
            autoDisposeTimer.Change(-1, -1);
            autoDisposeTimer.Dispose();
        }
        public virtual void Dispose()
        {
            autoDisposeTimer.Change(-1, -1);
            autoDisposeTimer.Dispose();
            Dispose(null);
        }
            //Image?.Dispose();
            //Image = null;
            //HImage?.Dispose();
            //HImage = null;
        public ImageSet()
        {
            autoDisposeTimer = new Timer(Dispose, null, 10 * 1000, -1);
        }
        #endregion
    }
src/Bro.Common.Model/Model/MotionCardRelated.cs
@@ -158,25 +158,25 @@
    /// </summary>
    public class GoHomePara
    {
        [Category("回原点参数")]
        [DisplayName("回原点方式")]
        [Description("HomeMode:回原点方式 ï¼ˆHOME_MODE_LIMIT = 10; HOME_MODE_LIMIT_HOME = 11; HOME_MODE_LIMIT_INDEX = 12; HOME_MODE_LIMIT_HOME_INDEX = 13;HOME_MODE_HOME = 20;HOME_MODE_HOME_INDEX = 22;HOME_MODE_INDEX = 30;")]
        public short HomeMode { get; set; } = 11;
        //[Category("回原点参数")]
        //[DisplayName("回原点方式")]
        //[Description("HomeMode:回原点方式 ï¼ˆHOME_MODE_LIMIT = 10; HOME_MODE_LIMIT_HOME = 11; HOME_MODE_LIMIT_INDEX = 12; HOME_MODE_LIMIT_HOME_INDEX = 13;HOME_MODE_HOME = 20;HOME_MODE_HOME_INDEX = 22;HOME_MODE_INDEX = 30;")]
        //public short HomeMode { get; set; } = 11;
        [Category("回原点参数")]
        [DisplayName("边缘")]
        [Description("edge:边缘")]
        public short Edge { get; set; } = 0;
        //[Category("回原点参数")]
        //[DisplayName("边缘")]
        //[Description("edge:边缘")]
        //public short Edge { get; set; } = 0;
        //[Category("回原点速度")]
        //[DisplayName("回原点最低速度")]
        //[Description("LowVelocity:速度,为0时表示不修改当前设置")]
        //public double LowVelocity { get; set; } = 50;
        [Category("回原点速度")]
        [DisplayName("回原点最低速度")]
        [Description("LowVelocity:速度,为0时表示不修改当前设置")]
        public double LowVelocity { get; set; } = 50;
        [Category("回原点速度")]
        [DisplayName("回原点最高速度")]
        [Description("HighVelocity:速度,为0时表示不修改当前设置")]
        public double HighVelocity { get; set; } = 50;
        [DisplayName("回原点速度")]
        [Description("HomeVelocity:速度,为0时表示不修改当前设置")]
        public double HomeVelocity { get; set; } = 50;
        //[Category("回原点参数")]
        //[DisplayName("搜索距离")]
@@ -188,10 +188,10 @@
        [Description("HomeOffset:偏移距离")]
        public int HomeOffset { get; set; } = 0;
        [Category("回原点偏移")]
        [DisplayName("跳过步长")]
        [Description("EscapeStep:跳过步长")]
        public int EscapeStep { get; set; } = 1000;
        //[Category("回原点偏移")]
        //[DisplayName("跳过步长")]
        //[Description("EscapeStep:跳过步长")]
        //public int EscapeStep { get; set; } = 1000;
        [Category("回原点方向")]
        [DisplayName("起始运动方向")]
@@ -207,6 +207,11 @@
        [DisplayName("回原点超时")]
        [Description("回原点超时,单位秒")]
        public int GoHomeTimeOut { get; set; } = 60;
        [Category("原点捕获模式")]
        [Description("原点捕获模式,true:使用捕获模式,false:使用原点输入信号")]
        [DisplayName("原点捕获模式")]
        public bool IsCaptureMode { get; set; } = true;
    }
    /// <summary>
src/Bro.Device.GTSCard/GTSCardDriver.cs
@@ -907,16 +907,19 @@
                // è®¾ç½®ç‚¹ä½æ¨¡å¼è¿åŠ¨å‚æ•°
                sRtn = GTSCardAPI.GT_SetTrapPrm((short)IConfig.CardNum, (short)movingOption.AxisIndex, ref trapPrm);
                // è®¾ç½®ç‚¹ä½æ¨¡å¼ç›®æ ‡é€Ÿåº¦ï¼Œå³å›žåŽŸç‚¹é€Ÿåº¦
                sRtn = GTSCardAPI.GT_SetVel((short)IConfig.CardNum, (short)movingOption.AxisIndex, goHomePara.HighVelocity);
                sRtn = GTSCardAPI.GT_SetVel((short)IConfig.CardNum, (short)movingOption.AxisIndex, goHomePara.HomeVelocity);
                do
                {
                    PositionReset(movingOption.AxisIndex, 1);
                    ClearStatus(movingOption.AxisIndex, 1);
                    //搜索距离 é˜¶æ®µ1
                    // å¯åЍHome捕获
                    sRtn = GTSCardAPI.GT_SetCaptureMode((short)IConfig.CardNum, (short)movingOption.AxisIndex, GTSCardAPI.CAPTURE_HOME);
                    if (goHomePara.IsCaptureMode)
                    {
                        //搜索距离 é˜¶æ®µ1
                        // å¯åЍHome捕获
                        sRtn = GTSCardAPI.GT_SetCaptureMode((short)IConfig.CardNum, (short)movingOption.AxisIndex, GTSCardAPI.CAPTURE_HOME);
                    }
                    // è®¾ç½®ç‚¹ä½æ¨¡å¼ç›®æ ‡ä½ç½®ï¼Œå³åŽŸç‚¹æœç´¢è·ç¦»
                    sRtn = GTSCardAPI.GT_SetPos((short)IConfig.CardNum, (short)movingOption.AxisIndex, homeDirection ? 99999999 : -99999999);
@@ -926,15 +929,32 @@
                    int repeatTime = goHomePara.GoHomeTimeOut * 1000;
                    bool isStop = false;
                    int pos;
                    int pos = 0;
                    uint clk;//时钟参数
                    int checkInterval = IConfig.MonitorInterval;
                    if (IConfig.MonitorInterval <= 0)
                    {
                        checkInterval = 10;
                    }
                    do
                    {
                        Thread.Sleep(IConfig.MonitorInterval * 5);
                        // è¯»å–捕获状态
                        GTSCardAPI.GT_GetCaptureStatus((short)IConfig.CardNum, (short)movingOption.AxisIndex, out capture, out pos, 1, out clk);
                        Thread.Sleep(checkInterval * 2);
                        if (goHomePara.IsCaptureMode)
                        {
                            // è¯»å–捕获状态
                            GTSCardAPI.GT_GetCaptureStatus((short)IConfig.CardNum, (short)movingOption.AxisIndex, out capture, out pos, 1, out clk);
                        }
                        else
                        {
                            GTSCardAPI.GT_GetDi((short)IConfig.CardNum, GTSCardAPI.MC_HOME, out int pValue);
                            capture = (short)((pValue & (1 << (movingOption.AxisIndex - 1))) == 0 ? 1 : 0);
                        }
                        isStop = IsStop((short)movingOption.AxisIndex);
                        repeatTime -= IConfig.MonitorInterval * 5;
                        repeatTime -= checkInterval * 2;
                    } while (!(isStop || capture == 1 || repeatTime <= 0));
                    if (repeatTime <= 0)
@@ -1253,7 +1273,7 @@
                        var newValues = GetMonitorValues();
                        //var newAxisMovingStatus = GetAxisMovingStatus();
                        if (newValues == null || newValues.Count == 0 )
                        if (newValues == null || newValues.Count == 0)
                            continue;
                        //Stopwatch sw = new Stopwatch();
src/Bro.Device.Gocator/GocatorDriver.cs
@@ -66,6 +66,8 @@
            }
            HandleGoData(dataSet);
            dataSet.Dispose();
        }
        private void HandleGoData(GoDataSet dataSet, GoImageSet imgSet = null)
@@ -181,6 +183,8 @@
                        //    }
                        //    break;
                }
                dataObj.Dispose();
            }
        }
@@ -238,6 +242,9 @@
            }
            HandleGoData(dataSet, imgSet);
            dataSet.Dispose();
            if (imgSet.HImage == null)
            {
                LogAsync(DateTime.Now, $"{Name}未能获取HImage图像", "");
@@ -412,6 +419,8 @@
                    _snapHandle.Set();
                }
            }
            dataSet.Dispose();
        }
        #region é‡å†™å›¾ç‰‡ä¿å­˜æ“ä½œ
@@ -422,7 +431,7 @@
                 OnImageUpdated?.Invoke(this, showImage, imgSetId);
             });
            GoImageSet set = _imageSetList.FirstOrDefault(u => u.Id == imgSetId) as GoImageSet;
            GoImageSet set = _imageSetList[imgSetId] as GoImageSet;
            if (set == null)
                return;
@@ -463,7 +472,7 @@
        {
            await Task.Run(() =>
            {
                GoImageSet set = _imageSetList.FirstOrDefault(u => u.Id == imgSetId) as GoImageSet;
                GoImageSet set = _imageSetList[imgSetId] as GoImageSet;
                if (set == null)
                    return;
@@ -493,19 +502,22 @@
                }
            });
        }
        public override void ClearImageSet(IImageSet set)
        {
            if (set.IsOriginSaved && set.IsFitSaved && set.IsAddtionalSaved)
            {
                (set as GoImageSet).HImage_2?.Dispose();
                (set as GoImageSet).HImage_2 = null;
            }
            base.ClearImageSet(set);
        }
        #endregion
    }
    public class GoImageSet : ImageSet
    {
        public HImage HImage_2 { get; set; }
        public override void Dispose()
        {
            base.Dispose();
            HImage_2?.Dispose();
            HImage_2 = null;
        }
    }
}
src/Bro.M071.Process/M071Config.cs
@@ -134,5 +134,10 @@
        [Description("true:数据上传至MES false:数据不上传")]
        [ReadOnly(true)]
        public bool IsEnableMESUpload { get; set; } = false;
        [Category("复位设置")]
        [Description("大复位需要信号持续时间,复位信号持续超出该时间执行大复位,单位:s")]
        [DisplayName("大复位持续信号长度")]
        public int FullResetRequiredDuration { get; set; } = 3;
    }
}
src/Bro.M071.Process/M071Models.cs
@@ -257,7 +257,7 @@
        {
            Measurements?.ForEach(m => m?.Dispose());
            Measurements = null;
            ElementList = null;
            Barcode = null;
            GC.Collect();
        }
@@ -342,6 +342,39 @@
        {
            PropertyChanged?.Invoke(this, new PropertyChangedEventArgs("KeyUnitCollection"));
        }
        public MeasurementUnit Copy()
        {
            MeasurementUnit mUnit = new MeasurementUnit();
            mUnit.Id = this.Id;
            mUnit.Name = this.Name;
            mUnit.IsEnabled = this.IsEnabled;
            mUnit.MeasureType = this.MeasureType;
            mUnit.DisplayLocation = new Rectangle(this.DisplayLocation.Location, this.DisplayLocation.Size);
            if (this.Spec == null)
            {
                mUnit.Spec = null;
            }
            else
            {
                mUnit.Spec = new MeasureType();
                mUnit.Spec.Code = this.Spec.Code;
                mUnit.Spec.AlgorithemPath = this.Spec.AlgorithemPath;
                mUnit.Spec.StandardValue = this.Spec.StandardValue;
                mUnit.Spec.Tolrenance_Positive = this.Spec.Tolrenance_Positive;
                mUnit.Spec.Tolrenance_Negative = this.Spec.Tolrenance_Negative;
            }
            this.KeyUnitCollection.ForEach(k =>
            {
                mUnit.KeyUnitCollection.Add(k.Copy());
            });
            return mUnit;
        }
    }
    public class KeyUnitBind : IComplexDisplay, INotifyPropertyChanged, IDisposable
@@ -391,10 +424,9 @@
        public void Dispose()
        {
            SpinWait wait = new SpinWait();
            while (ImageSaveStatus != 0)
            {
                wait.SpinOnce();
                Thread.Sleep(10);
            }
            KeyImages?.ForEach(i =>
@@ -437,6 +469,20 @@
                }
            }
        }
        public KeyUnitBind Copy()
        {
            KeyUnitBind clone = new KeyUnitBind();
            clone.Key = this.Key;
            clone.KeyResultId = this.KeyResultId;
            this.MeasureValueDict.Keys.ToList().ForEach(k =>
            {
                clone.MeasureValueDict[k] = null;
            });
            return clone;
        }
    }
    //public class NoticedDictionary<T1, T2> : Dictionary<T1, T2>, INotifyPropertyChanged
src/Bro.M071.Process/M071Process.cs
@@ -207,10 +207,18 @@
            MachineState = MachineState.Running;
            OnMeasureStart?.Invoke();
            var measurements = Config.MeasurementUnitCollection.Where(u => u.IsEnabled).ToList().DeepSerializeClone();
            measurements.ForEach(m =>
            //var measurements = Config.MeasurementUnitCollection.Where(u => u.IsEnabled).ToList().DeepSerializeClone();
            //measurements.ForEach(m =>
            //{
            //    m.InitialKeyUnitMeasureChanged();
            //});
            List<MeasurementUnit> measurements = new List<MeasurementUnit>();
            Config.MeasurementUnitCollection.Where(u => u.IsEnabled).ToList().ForEach(u =>
            {
                var m = u.Copy();
                m.InitialKeyUnitMeasureChanged();
                measurements.Add(m);
            });
            var pMeasure = new ProductionMeasurement()
@@ -219,6 +227,8 @@
                Measurements = measurements,
                StartTime = DateTime.Now,
            };
            BarCode = "";
            var existedProduction = productionList.FirstOrDefault(u => u.Barcode == pMeasure.Barcode);
            if (existedProduction != null)
@@ -283,8 +293,9 @@
                      RunImageHandle(s.CameraOp.OpConfig, set, s.Id, s.Name, pMeasure.Measurements);
                  });
            BarCode = "";
            LogAsync(DateTime.Now, $"{pMeasure.Barcode}测量动作完成", "");
            GC.Collect(0, GCCollectionMode.Optimized);
            return new ProcessResponse(true);
        }
@@ -452,6 +463,7 @@
                productionList.RemoveAll(p => p.Barcode == pMeasure.Barcode);
                pMeasure.Dispose();
                //LogAsync(DateTime.Now, $"{pMeasure.Barcode}产品信息释放完成", JsonConvert.SerializeObject(pMeasure));
            }
        }
@@ -729,8 +741,6 @@
                        #region RawData
                        {
                            //rawDataSheet = package.Workbook.Worksheets["RawData"];
                            int rowDataStartCol = rawDataSheet.Dimension.Columns;
                            var barcodeCell = rawDataSheet.Cells[1, rowDataStartCol + 1, 1, rowDataStartCol + 4];
                            barcodeCell.Merge = true;
@@ -776,12 +786,7 @@
                        if (slantMeasures.Count > 0)
                        {
                            int slantStartCol = slantSheet.Dimension.Columns;
                            //var barcodeCell = slantSheet.Cells[1, slantStartCol + 1, 1, slantStartCol + 2];
                            //barcodeCell.Merge = true;
                            //barcodeCell.Value = exportData.ProductionMeasurementRecord.ProductionBarcode;
                            //SetTitleCell(barcodeCell);
                            var barcodeCell = slantSheet.Cells[1, slantStartCol + 1];
                            barcodeCell.Value = exportData.ProductionMeasurementRecord.ProductionBarcode;
                            SetTitleCell(barcodeCell);
@@ -789,10 +794,6 @@
                            var valueCell = slantSheet.Cells[2, slantStartCol + 1];
                            valueCell.Value = "Value";
                            SetTitleCell(valueCell);
                            //var resultCell = slantSheet.Cells[2, slantStartCol + 2];
                            //resultCell.Value = "Result";
                            //SetTitleCell(resultCell);
                            slantMeasures.ForEach(m =>
                            {
@@ -937,6 +938,11 @@
                        #endregion
                        package.Save();
                        rawDataSheet.Dispose();
                        slantSheet.Dispose();
                        alignmentSheet.Dispose();
                        rowAlignmentSheet.Dispose();
                    };
                }
            });
@@ -1191,11 +1197,17 @@
                    });
                    image.Dispose();
                    image = null;
                }
                //);
                imgSet.HImage.Dispose();
                imgSet.HImage = null;
                imgSet.Dispose();
                images.Dispose();
                images = null;
                //if (count.I != 1)
                //{
                //    hImage?.Dispose();
src/Bro.M071.Process/M071Process_MotionCard.cs
@@ -17,7 +17,6 @@
    public partial class M071Process
    {
        public Timer ResetTimer = null;
        const int FULLRESETTIME = 5;
        object machineStateLock = new object();
        //MachineState _machineStatePre = MachineState.Unknown;
@@ -233,7 +232,7 @@
            if (opConfig?.InputPara != null && opConfig.InputPara.Count > 0)
            {
                //大复位信号
                ResetTimer.Change(opConfig.InputPara[0] == 1 ? FULLRESETTIME * 1000 : -1, -1);
                ResetTimer.Change(opConfig.InputPara[0] == 1 ? Config.FullResetRequiredDuration * 1000 : -1, -1);
                if (opConfig.InputPara[0] == 0)
                    return new ProcessResponse(true);
src/Bro.M071.Process/UI/KeyIndicator.cs
@@ -20,7 +20,7 @@
        [Browsable(false)]
        public override string Name { get => base.Name; set => base.Name = value; }
        [Browsable(false)]
        public override Font Font { get => base.Font; set => base.Font = value; }
        public override Font Font { get; set; } = new Font(new FontFamily("Tahoma"), 12, GraphicsUnit.World);
        [Browsable(false)]
        public override int FontDistance { get => base.FontDistance; set => base.FontDistance = value; }
        [Browsable(false)]
@@ -81,7 +81,8 @@
                }
                g.FillRectangle(new SolidBrush(Color.FromArgb(85, backColor)), rectFill);
                g.DrawString(Text, Font, new SolidBrush(foreColor), (float)(DisplayRect.X + DisplayRect.Width / 2.0 - txtSize.Width / 2.0), (float)(DisplayRect.Y + DisplayRect.Height));
                g.DrawString(Text, Font, new SolidBrush(foreColor), (float)(DisplayRect.X + DisplayRect.Width / 2.0 - txtSize.Width / 2.0), (float)(DisplayRect.Y + DisplayRect.Height / 2.0 - txtSize.Height / 2.0));
            }
        }
src/Bro.M071.Process/UI/M071_MainForm.cs
@@ -42,6 +42,8 @@
                   cvImage.OnElementChangedHandle += CvImage_OnElementChangedHandle;
                   timer1.Enabled = true;
                   btnReset.Text = $"复位(长按{Config.FullResetRequiredDuration}秒大复位)";
               };
        }
@@ -258,6 +260,23 @@
        #region æ ‡ç­¾ç»“果显示
        private async void Process_M071_OnElementUpdated(Common.Interface.IShapeElement obj)
        {
            //this.Invoke(new Action(() =>
            //{
            //    if (obj is KeyIndicator keyIndicator)
            //    {
            //        var ele = cvImage.Elements.FirstOrDefault(u => u.ID == keyIndicator.ID);
            //        //(ele as KeyIndicator).Text = keyIndicator.Text;
            //        //(ele as KeyIndicator).ResultState = keyIndicator.ResultState;
            //        if (ele != null)
            //        {
            //            ele = keyIndicator;
            //        }
            //        this.Invalidate();
            //    }
            //}));
            if (obj is KeyIndicator keyIndicator)
            {
                this.Invoke(new Action(() =>
@@ -472,7 +491,7 @@
                Process_M071.Reset(null, null, null);
            }
            Process_M071.ResetTimer.Change(1000 * 5, -1);
            Process_M071.ResetTimer.Change(1000 * Config.FullResetRequiredDuration, -1);
        }
        private void btnReset_MouseUp(object sender, MouseEventArgs e)
src/Bro.UI.Device.Winform/MotionCard/CtrlMotionCardAxisStatus.cs
@@ -39,7 +39,7 @@
            _axisMovingStatus = MotionCard.AxisStatusList.FirstOrDefault(u => u.AxisIndex == _axisIndex);
            if (_axisMovingStatus != null)
            {
                textBoxPrfPositon.Text = _axisMovingStatus.Destination.ToString();
                textBoxPrfPositon.Text = _axisMovingStatus.CurPosition.ToString();
                textBoxPrfVel.Text = _axisMovingStatus.PrfVelocity.ToString();
                textBoxCurVel.Text = _axisMovingStatus.CurVelocity.ToString();
                int axis_sts = _axisMovingStatus.AxisStatus;