AssumedObjectData
内容
[
隐藏
]AssumedObjectData class
假定对象的数据。包括对象的类型和面积。
public class AssumedObjectData
构造函数
姓名 | 描述 |
---|---|
AssumedObjectData() | 初始化AssumedObjectData 类. |
AssumedObjectData(DetectedObjectType, Rectangle) | 初始化AssumedObjectData 类. |
AssumedObjectData(string, Rectangle) | 初始化AssumedObjectData 类. |
特性
姓名 | 描述 |
---|---|
Bounds { get; set; } | 获取或设置对象的边界。 |
Type { get; set; } | 获取或设置对象的类型。 |
例子
根据图像大小使用羽化保存图像遮罩结果。使用自动计算的默认笔画执行图像遮罩。此外,两个假定对象的数据也在 AutoMaskingGraphCutOptions 的 AssumedObjects 属性中指定。
[C#]
List<AssumedObjectData> assumedObjects = new List<AssumedObjectData>();
assumedObjects.Add(new AssumedObjectData(DetectedObjectType.Human, new Rectangle(100, 100, 150, 300)));
assumedObjects.Add(new AssumedObjectData(DetectedObjectType.Dog, new Rectangle(300, 100, 50, 30)));
MaskingResult[] results;
using (RasterImage image = (RasterImage)Image.Load("input.jpg"))
{
AutoMaskingGraphCutOptions options = new AutoMaskingGraphCutOptions
{
AssumedObjects = assumedObjects,
CalculateDefaultStrokes = true,
FeatheringRadius = (Math.Max(image.Width, image.Height) / 500) + 1,
Method = SegmentationMethod.GraphCut,
Decompose = false,
ExportOptions =
new PngOptions()
{
ColorType = PngColorType.TruecolorWithAlpha,
Source = new FileCreateSource("tempFile")
},
BackgroundReplacementColor = Color.Transparent
};
results = new ImageMasking(image).Decompose(options);
}
using (RasterImage resultImage = (RasterImage)results[1].GetImage())
{
resultImage.Save("output.png", new PngOptions() { ColorType = PngColorType.TruecolorWithAlpha });
}
基于图像大小的羽化保存图像遮罩结果,并为新的遮罩迭代重新使用遮罩选项。使用自动计算的默认笔画执行图像遮罩。此外,两个假定对象的数据也在 AutoMaskingGraphCutOptions 的 AssumedObjects 属性中指定。获得初始遮罩结果后,修改应用的背景/前景笔画并执行另一次遮罩迭代。
[C#]
List<AssumedObjectData> assumedObjects = new List<AssumedObjectData>();
assumedObjects.Add(new AssumedObjectData(DetectedObjectType.Human, new Rectangle(100, 100, 150, 300)));
assumedObjects.Add(new AssumedObjectData(DetectedObjectType.Dog, new Rectangle(300, 100, 50, 30)));
MaskingResult[] results;
AutoMaskingGraphCutOptions options;
using (RasterImage image = (RasterImage)Image.Load("input.jpg"))
{
options = new AutoMaskingGraphCutOptions
{
AssumedObjects = assumedObjects,
CalculateDefaultStrokes = true,
FeatheringRadius = 3,
Method = SegmentationMethod.GraphCut,
Decompose = false,
ExportOptions =
new PngOptions()
{
ColorType = PngColorType.TruecolorWithAlpha,
Source = new FileCreateSource("tempFile")
},
BackgroundReplacementColor = Color.Transparent
};
results = new ImageMasking(image).Decompose(options);
}
// 此时可以分析应用的前景/背景笔画,并在此基础上附加
// 可以手动提供前景/背景笔触。
Point[] appliedBackgroundStrokes = options.DefaultBackgroundStrokes;
Point[] appliedForegroundStrokes = options.DefaultForegroundStrokes;
Rectangle[] appliedObjectRectangles = options.DefaultObjectsRectangles;
using (RasterImage resultImage = (RasterImage)results[1].GetImage())
{
resultImage.Save("output.png", new PngOptions() { ColorType = PngColorType.TruecolorWithAlpha });
}
using (RasterImage image = (RasterImage)Image.Load("input.jpg"))
{
// 重新使用 AutoMaskingGraphCutOptions 不需要第二次执行默认笔画计算。
options.CalculateDefaultStrokes = false;
// 当 AutoMaskingArgs 的 Args 属性中的默认笔画和 ObjectsPoints 都提供时,点数组最终会合并。
// 第一个 ObjectsPoints 数组被认为是背景点数组,并且
// 第二个 ObjectsPoints 数组被认为是前景点数组。
// 当 AutoMaskingArgs 的 Args 属性中的 DefaultObjectsRectangles 和 ObjectsRectangles 都提供时,
// 仅使用 Args 中的数组。
options.Args = new AutoMaskingArgs()
{
ObjectsPoints = new Point[][]
{
new Point[] { new Point(100, 100), new Point(150, 100) },
new Point[] { new Point(500, 200) },
},
ObjectsRectangles = new Rectangle[]
{
new Rectangle(100, 100, 300, 300),
}
};
results = new ImageMasking(image).Decompose(options);
}
using (RasterImage resultImage = (RasterImage)results[1].GetImage())
{
resultImage.Save("output.png", new PngOptions() { ColorType = PngColorType.TruecolorWithAlpha });
}
根据图像大小使用羽化保存图像遮罩结果,修改获得的默认笔画并将其用于新的遮罩迭代。使用自动计算的默认笔画执行图像遮罩。此外,两个假定对象的数据也在 AutoMaskingGraphCutOptions 的 AssumedObjects 属性中指定。获得初始遮罩结果后,修改应用的背景/前景笔划,并使用新的 GraphCutMaskingOptions 实例执行另一次遮罩迭代。
[C#]
List<AssumedObjectData> assumedObjects = new List<AssumedObjectData>();
assumedObjects.Add(new AssumedObjectData(DetectedObjectType.Human, new Rectangle(100, 100, 150, 300)));
assumedObjects.Add(new AssumedObjectData(DetectedObjectType.Dog, new Rectangle(300, 100, 50, 30)));
MaskingResult[] results;
AutoMaskingGraphCutOptions options;
using (RasterImage image = (RasterImage)Image.Load("input.jpg"))
{
options = new AutoMaskingGraphCutOptions
{
AssumedObjects = assumedObjects,
CalculateDefaultStrokes = true,
FeatheringRadius = 3,
Method = SegmentationMethod.GraphCut,
Decompose = false,
ExportOptions =
new PngOptions()
{
ColorType = PngColorType.TruecolorWithAlpha,
Source = new FileCreateSource("tempFile")
},
BackgroundReplacementColor = Color.Transparent
};
results = new ImageMasking(image).Decompose(options);
}
// 此时可以分析应用的前景/背景笔画,并在此基础上附加
// 可以手动提供前景/背景笔触。
Point[] appliedBackgroundStrokes = options.DefaultBackgroundStrokes;
Point[] appliedForegroundStrokes = options.DefaultForegroundStrokes;
Rectangle[] appliedObjectRectangles = options.DefaultObjectsRectangles;
using (RasterImage resultImage = (RasterImage)results[1].GetImage())
{
resultImage.Save("output.png", new PngOptions() { ColorType = PngColorType.TruecolorWithAlpha });
}
appliedBackgroundStrokes[5] = new Point(100, 100);
appliedBackgroundStrokes[15] = new Point(150, 100);
appliedForegroundStrokes[1] = new Point(500, 200);
appliedObjectRectangles[0] = new Rectangle(100, 100, 300, 300);
using (RasterImage image = (RasterImage)Image.Load("input.jpg"))
{
GraphCutMaskingOptions graphCutOptions = new GraphCutMaskingOptions()
{
FeatheringRadius = 3,
Method = SegmentationMethod.GraphCut,
Decompose = false,
ExportOptions = new PngOptions()
{
ColorType = PngColorType.TruecolorWithAlpha,
Source = new FileCreateSource("tempFile")
},
BackgroundReplacementColor = Color.Transparent,
Args = new AutoMaskingArgs()
{
ObjectsPoints = new Point[][]
{
appliedBackgroundStrokes,
appliedForegroundStrokes
},
ObjectsRectangles = appliedObjectRectangles
}
};
results = new ImageMasking(image).Decompose(graphCutOptions);
}
using (RasterImage resultImage = (RasterImage)results[1].GetImage())
{
resultImage.Save("output.png", new PngOptions() { ColorType = PngColorType.TruecolorWithAlpha });
}