Enum DetectedObjectType
Enum DetectedObjectType
名称: Aspose.Imaging.Masking.Options 收藏: Aspose.Imaging.dll (25.4.0)
发现的对象类型列表。
public enum DetectedObjectTypeFields
Human = 0
人类对象类型。
Other = 1
其他物品类型
Examples
保存图像面具结果与基于图像尺寸的面具。 图像面具是使用自动计算的默认冲击进行的。 此外,两个假设的对象的数据也被指定在 AssumedObjects 属性的 AutoMaskingGraphCutOptions。
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 });
}</assumedobjectdata></assumedobjectdata>保存图像面具结果与面具基于图像大小和重新使用面具选项为新的面具面具面具面具面具面具面具面具面具面具面具面具面具面具面具面具面具面具面具面具面具面具面具面具面具面具面具面具面具面具面具面具面具面具面具面具面具面具面具。
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);
}
// At this point applied foreground/background strokes can be analyzed and based on it additional
// foreground/background strokes can be manually provided.
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"))
{
// Re-using AutoMaskingGraphCutOptions there is no need to perform default strokes calculations second time.
options.CalculateDefaultStrokes = false;
// When both default strokes and ObjectsPoints in the Args property of AutoMaskingArgs are provided, Point arrays are end up combined.
// The first ObjectsPoints array is considered to be a background points array and
// the second ObjectsPoints array is considered to be a foreground points array.
// When both DefaultObjectsRectangles and ObjectsRectangles in the Args property of AutoMaskingArgs are provided,
// only the array from the Args is being used.
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 });
}</assumedobjectdata></assumedobjectdata>保存图像面具结果与面具基于图像大小,修改获得的默认冲击,并使用它为新的面具 iteration. 图像面具是使用自动计算的默认冲击进行的。 此外,两个假设的对象的数据也被指定在 AssumedObjects 属性的 AutoMaskingGraphCutOptions. 获得初始面具结果后,应用的背景/前面冲击是修改的,另一个面具冲击是使用新的 GraphCutMaskingOptions 例子进行的。
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);
}
// At this point applied foreground/background strokes can be analyzed and based on it additional
// foreground/background strokes can be manually provided.
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 });
}</assumedobjectdata></assumedobjectdata>