WiTiAi软件help帮助文档
WiTiAi深度学习软件发布WiTiAi软件help帮助文档：
1、软件框架 AI基于Pytorch，软件界面C#，部署API C++，标注采用Halcon（仅限1.0版本）。 软件加密：【开发板加密】、【运行板加密】。 开发环境：WIN10教育版 + 64bit + VS2017专业版 + OpenCvSharp3-AnyCPU(OpenCV 4.x wrapper)
Help文档浏览器：Google Chrome（建议不要使用【谷歌极速浏览器】）1.0版本说明： WITIAI_H12.exe表示Halcon12进行标注开发； WITIAI_H13.exe表示Halcon13进行标注开发； WITIAI_H18.exe表示Halcon18进行标注开发；2.0版本说明： WITIAI_Opencv.exe表示Opencv进行标注开发；2、软件功能 本软件用于实现图像的视觉算法处理，包括图像尺寸测量、AI深度学习的图像分割检测。 数据标注在主界面可以采用【点】、【线】、【圆】、【矩形】、【草绘】、【多边形】、【直线】、【椭圆】、【带角度矩形】、【描点】等多种标注方式。 对于【描点】标注，用户也可以进行特定位置描点，描点的位置默认要在此位置进行样本的构建。 标注【导入】、【导出】、【删除】，数据显示等； 注：图像尺寸测量仅供测量使用（采用C#、Halcon开发，可附带开发板软件赠送使用）。3、软件优势 1）深度学习算法开发0代码化； 2）指定位置标注（防止图像检测过杀）； 3）小样本建模能手、C/C++/C# API； 4）2448x2048图像，计算速度3.6FPS； 5）工业级产品检测，检测精度99%+； 6）机台视觉、极简化深度学习模型开发； 7）半导体芯片、电子产品、医疗影像、液晶面板、自然场景等缺陷多分类分割检测；4、快捷键：部分快捷键功能可能在v1.0和v2.0有差异。
1）对于AI，Ctrl + 鼠标左键点击Form区域，退出标注过程，鼠标可以平移、缩放、实时获取灰度信息； 2）对于AI，Ctrl + S，保存全部图像的标注信息； 3）键盘tab键，在没标注时，按下键盘tab键，可显示标注的Region，再按下tab键，则不显示标注的region； 4）对于图形显示区域，按下键盘Delete键，可以删除鼠标选择的Region； 5）对于图形显示区域，按下键盘数字0键，可以删除鼠标选择的Region； 6）对于图形显示区域，按下键盘数字1键，可以将鼠标选择的Region的标注类别置1（第1类）； 7）对于图形显示区域，按下键盘数字2键，可以将鼠标选择的Region的标注类别置2（第2类）； 8）对于图形显示区域，按下键盘数字3键，可以将鼠标选择的Region的标注类别置3（第3类）； 9）对于图形显示区域，按下键盘数字4键，可以将鼠标选择的Region的标注类别置4（第4类）； 10）对于图形显示区域，按下键盘数字5键，可以将鼠标选择的Region的标注类别置5（第5类）； 11）对于图形显示区域，按下键盘数字6键，可以将鼠标选择的Region的标注类别置6（第6类）； 12）对于图形显示区域，按下键盘数字7键，可以将鼠标选择的Region的标注类别置7（第7类）； 13）对于图形显示区域，按下键盘数字8键，可以将鼠标选择的Region的标注类别置8（第8类）； 14）对于图形显示区域，按下键盘数字9键，可以将鼠标选择的Region的标注类别置9（第9类）； 15）点击界面【Label区域】【鼠标箭头图标】，退出标注，在图形界面窗口，鼠标左键点击，可突出显示鼠标点击的Region； 16）键盘B键，撤销功能，类似实现Windows下的Ctrl + Z功能，在没有标注时，执行B键才有效； 17）键盘W键，在没标注时，按下键盘W键，可突出显示鼠标位置所在的Region； 18）鼠标Ctrl+ Z,撤销功能，在没有标注时，执行撤销动作； （19）键盘B键，撤销功能，类似实现windows下的Ctrl + Z功能，在没有标注时，执行B键才有效；
（20）键盘W键，在没标注时，按下键盘W键，可突出显示鼠标位置所在的Region；5、试用版说明提供试用。
7、灰度图像测试（C#-API） string ImagePath = this.textBox1.Text.ToString();
int sliceImageSize = 512;
double overRate = 0.0;
double image_threshold = 0.5;
int classnum = 4;
int GPUindex = 0;
int ImageChannel = 1;
string savepath1 = System.Windows.Forms.Application.StartupPath + @"/" + "gray_1.png";
// 初始化AI模型
string AImodelpt = @"gray_model.WITIAI";
// method1
CallAIDLL.load_module(AImodelpt, GPUindex);
CallAIDLL.PredictGrayImage(ImagePath, savepath1, sliceImageSize, overRate, image_threshold, classnum, GPUindex);
// method2 -- halcon12进行调试
HObject ho_Image = null;
HTuple Width = 1200, Height = 1200;
HOperatorSet.GenEmptyObj(out ho_Image);
ho_Image.Dispose();
HOperatorSet.ReadImage(out ho_Image, ImagePath);
HOperatorSet.GetImageSize(ho_Image, out Width, out Height);
IntPtr p = Marshal.AllocHGlobal(Width.I * Height.I * ImageChannel);
p = CallAIDLL.PredictGrayImagePath2Intptr(ImagePath, sliceImageSize, overRate, image_threshold, classnum, GPUindex);
HObject outputImage = null;
HOperatorSet.GenEmptyObj(out outputImage);
outputImage.Dispose();
HOperatorSet.GenImage1Extern(out outputImage, "byte", Width, Height, p, Marshal.GetFunctionPointerForDelegate(callback));
string savepath2 = System.Windows.Forms.Application.StartupPath + @"/" + "gray_2.png";
HOperatorSet.WriteImage(outputImage, "png", -1, savepath2);
// method3 -- halcon12进行调试
HObject ho_Image1 = null;
HTuple aWidth = 1200, aHeight = 1200;
HOperatorSet.GenEmptyObj(out ho_Image1);
ho_Image1.Dispose();
HOperatorSet.ReadImage(out ho_Image1, ImagePath);
HOperatorSet.GetImageSize(ho_Image1, out aWidth, out aHeight);
// 将图像转化为bytes传入
HTuple hred, hgreen, hblue, type0, width0, height0;
HOperatorSet.GetImagePointer1(ho_Image1, out hred, out type0, out width0, out height0);
//HOperatorSet.GetImagePointer3(ho_Image1, out hred, out hgreen, out hblue, out type0, out width0, out height0);
byte[] bptr = new byte;
for (int i = 0; i < (width0.I * height0.I); i++)
{
Marshal.Copy((IntPtr)(hred + i), bptr, i * 1 + 0, 1);
}
IntPtr p0 = Marshal.AllocHGlobal(aWidth.I * aHeight.I * ImageChannel);
Marshal.Copy(bptr, 0, p0, aWidth.I * aHeight.I * ImageChannel);
// call
IntPtr p1 = Marshal.AllocHGlobal(aWidth.I * aHeight.I * ImageChannel);
p1 = CallAIDLL.PredictGrayImageMat2Intptr(aWidth.I, aHeight.I, ImageChannel, p0, sliceImageSize, overRate, image_threshold, classnum, GPUindex);
HObject outputImage1 = null;
HOperatorSet.GenEmptyObj(out outputImage1);
outputImage1.Dispose();
HOperatorSet.GenImage1Extern(out outputImage1, "byte", aWidth.I, aHeight.I, p1, Marshal.GetFunctionPointerForDelegate(callback));
string savepath3 = System.Windows.Forms.Application.StartupPath + @"/" + "gray_3.png";
HOperatorSet.WriteImage(outputImage1, "png", -1, savepath3);
// method4 -- halcon12进行调试
string savepath4 = System.Windows.Forms.Application.StartupPath + @"/" + "gray_4.png";
HObject ho_Image2 = null;
HTuple aWidth1 = 1200, aHeight1 = 1200;
HOperatorSet.GenEmptyObj(out ho_Image2);
ho_Image2.Dispose();
HOperatorSet.ReadImage(out ho_Image2, ImagePath);
HOperatorSet.GetImageSize(ho_Image2, out aWidth1, out aHeight1);
// 将图像转化为bytes传入
HTuple hred1, hgreen1, hblue1, type1, width1, height1;
HOperatorSet.GetImagePointer1(ho_Image2, out hred1, out type1, out width1, out height1);
//HOperatorSet.GetImagePointer3(ho_Image2, out hred1, out hgreen1, out hblue1, out type1, out width1, out height1);
byte[] bptr1 = new byte;
for (int i = 0; i < (aWidth1.I * aHeight1.I); i++)
{
Marshal.Copy((IntPtr)(hred1 + i), bptr1, i * 1 + 0, 1);
//Marshal.Copy((IntPtr)(hgreen1 + i), bptr1, i * 3 + 1, 1);
//Marshal.Copy((IntPtr)(hred1 + i), bptr1, i * 3 + 2, 1);
}
IntPtr p2 = Marshal.AllocHGlobal(aWidth1.I * aHeight1.I * ImageChannel);
Marshal.Copy(bptr1, 0, p2, aWidth1.I * aHeight1.I * ImageChannel);
// call
CallAIDLL.PredictGrayImageMat2Path(aWidth1, aHeight1, ImageChannel, p2, savepath4, sliceImageSize, overRate, image_threshold, classnum, GPUindex);
//
MessageBox.Show("测试完成！！！");8、彩色图像测试（C#-API）：
string ImagePath = this.textBox2.Text.ToString();
int sliceImageSize = 256;
double overRate = 0.0;
double image_threshold = 0.5;
int classnum = 4;
int GPUindex = 0;
int ImageChannel = 3;
string savepath1 = System.Windows.Forms.Application.StartupPath + @"/" + "rgb_1.png";
// 初始化AI模型
string AImodelpt = @"rgb_model.WITIAI";
// method1
CallAIDLL.load_module(AImodelpt, GPUindex);
CallAIDLL.PredictRGBImage(ImagePath, savepath1, sliceImageSize, overRate, image_threshold, classnum, GPUindex);
// method2 -- halcon12进行调试
HObject ho_Image = null;
HTuple Width = 1200, Height = 1200;
HOperatorSet.GenEmptyObj(out ho_Image);
ho_Image.Dispose();
HOperatorSet.ReadImage(out ho_Image, ImagePath);
HOperatorSet.GetImageSize(ho_Image, out Width, out Height);
IntPtr p = Marshal.AllocHGlobal(Width.I * Height.I * ImageChannel);
p = CallAIDLL.PredictRGBImagePath2Intptr(ImagePath, sliceImageSize, overRate, image_threshold, classnum, GPUindex);
HObject outputImage = null;
HOperatorSet.GenEmptyObj(out outputImage);
outputImage.Dispose();
HOperatorSet.GenImage1Extern(out outputImage, "byte", Width, Height, p, Marshal.GetFunctionPointerForDelegate(callback));
string savepath2 = System.Windows.Forms.Application.StartupPath + @"/" + "rgb_2.png";
HOperatorSet.WriteImage(outputImage, "png", -1, savepath2);
// method3 -- halcon12进行调试
HObject ho_Image1 = null;
HTuple aWidth = 1200, aHeight = 1200;
HOperatorSet.GenEmptyObj(out ho_Image1);
ho_Image1.Dispose();
HOperatorSet.ReadImage(out ho_Image1, ImagePath);
HOperatorSet.GetImageSize(ho_Image1, out aWidth, out aHeight);
// 将图像转化为bytes传入
HTuple hred, hgreen, hblue, type0, width0, height0;
HOperatorSet.GetImagePointer3(ho_Image1, out hred, out hgreen, out hblue, out type0, out width0, out height0);
byte[] bptr = new byte;
for (int i = 0; i < (width0.I * height0.I); i++)
{
Marshal.Copy((IntPtr)(hblue + i), bptr, i * 3 + 0, 1);
Marshal.Copy((IntPtr)(hgreen + i), bptr, i * 3 + 1, 1);
Marshal.Copy((IntPtr)(hred + i), bptr, i * 3 + 2, 1);
}
IntPtr p0 = Marshal.AllocHGlobal(aWidth.I * aHeight.I * ImageChannel);
Marshal.Copy(bptr, 0, p0, aWidth.I * aHeight.I * ImageChannel);
// call
IntPtr p1 = Marshal.AllocHGlobal(aWidth.I * aHeight.I * ImageChannel);
p1 = CallAIDLL.PredictRGBImageMat2Intptr(aWidth.I, aHeight.I, ImageChannel, p0, sliceImageSize, overRate, image_threshold, classnum, GPUindex);
HObject outputImage1 = null;
HOperatorSet.GenEmptyObj(out outputImage1);
outputImage1.Dispose();
HOperatorSet.GenImage1Extern(out outputImage1, "byte", aWidth.I, aHeight.I, p1, Marshal.GetFunctionPointerForDelegate(callback));
string savepath3 = System.Windows.Forms.Application.StartupPath + @"/" + "rgb_3.png";
HOperatorSet.WriteImage(outputImage1, "png", -1, savepath3);
// method4 -- halcon12进行调试
string savepath4 = System.Windows.Forms.Application.StartupPath + @"/" + "rgb_4.png";
HObject ho_Image2 = null;
HTuple aWidth1 = 1200, aHeight1 = 1200;
HOperatorSet.GenEmptyObj(out ho_Image2);
ho_Image2.Dispose();
HOperatorSet.ReadImage(out ho_Image2, ImagePath);
HOperatorSet.GetImageSize(ho_Image2, out aWidth1, out aHeight1);
// 将图像转化为bytes传入
HTuple hred1, hgreen1, hblue1, type1, width1, height1;
HOperatorSet.GetImagePointer3(ho_Image2, out hred1, out hgreen1, out hblue1, out type1, out width1, out height1);
byte[] bptr1 = new byte;
for (int i = 0; i < (aWidth1.I * aHeight1.I); i++)
{
Marshal.Copy((IntPtr)(hblue1 + i), bptr1, i * 3 + 0, 1);
Marshal.Copy((IntPtr)(hgreen1 + i), bptr1, i * 3 + 1, 1);
Marshal.Copy((IntPtr)(hred1 + i), bptr1, i * 3 + 2, 1);
}
IntPtr p2 = Marshal.AllocHGlobal(aWidth1.I * aHeight1.I * ImageChannel);
Marshal.Copy(bptr1, 0, p2, aWidth1.I * aHeight1.I * ImageChannel);
// call
CallAIDLL.PredictRGBImageMat2Path(aWidth1, aHeight1, ImageChannel, p2, savepath4, sliceImageSize, overRate, image_threshold, classnum, GPUindex);
//
MessageBox.Show("OK");
参考：
【1】WiTiAi深度学习软件发布
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