Class VerticalFlip<T>

Namespace

AiDotNet.Augmentation.Image

Assembly

AiDotNet.dll

Flips an image vertically (top-bottom mirror).

public class VerticalFlip<T> : SpatialAugmentationBase<T, ImageTensor<T>>, ISpatialAugmentation<T, ImageTensor<T>>, IAugmentation<T, ImageTensor<T>>

Type Parameters

T

The numeric type for calculations.

Inheritance

object

AugmentationBase<T, ImageTensor<T>>

SpatialAugmentationBase<T, ImageTensor<T>>

VerticalFlip<T>

Implements

ISpatialAugmentation<T, ImageTensor<T>>

IAugmentation<T, ImageTensor<T>>

Inherited Members

SpatialAugmentationBase<T, ImageTensor<T>>.SupportsBoundingBoxes

SpatialAugmentationBase<T, ImageTensor<T>>.SupportsKeypoints

SpatialAugmentationBase<T, ImageTensor<T>>.SupportsMasks

SpatialAugmentationBase<T, ImageTensor<T>>.ApplyWithTargets(AugmentedSample<T, ImageTensor<T>>, AugmentationContext<T>)

SpatialAugmentationBase<T, ImageTensor<T>>.ApplyWithTransformParams(ImageTensor<T>, AugmentationContext<T>)

SpatialAugmentationBase<T, ImageTensor<T>>.TransformBoundingBox(BoundingBox<T>, IDictionary<string, object>, AugmentationContext<T>)

SpatialAugmentationBase<T, ImageTensor<T>>.TransformKeypoint(Keypoint<T>, IDictionary<string, object>, AugmentationContext<T>)

SpatialAugmentationBase<T, ImageTensor<T>>.TransformMask(SegmentationMask<T>, IDictionary<string, object>, AugmentationContext<T>)

SpatialAugmentationBase<T, ImageTensor<T>>.ApplyAugmentation(ImageTensor<T>, AugmentationContext<T>)

AugmentationBase<T, ImageTensor<T>>.NumOps

AugmentationBase<T, ImageTensor<T>>.OnAugmentationApplied

AugmentationBase<T, ImageTensor<T>>.Name

AugmentationBase<T, ImageTensor<T>>.Probability

AugmentationBase<T, ImageTensor<T>>.IsTrainingOnly

AugmentationBase<T, ImageTensor<T>>.IsEnabled

AugmentationBase<T, ImageTensor<T>>.Apply(ImageTensor<T>, AugmentationContext<T>)

AugmentationBase<T, ImageTensor<T>>.ApplyAugmentation(ImageTensor<T>, AugmentationContext<T>)

AugmentationBase<T, ImageTensor<T>>.GetParameters()

AugmentationBase<T, ImageTensor<T>>.RaiseAugmentationApplied(AugmentationContext<T>, bool)

object.Equals(object)

object.Equals(object, object)

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

object.ReferenceEquals(object, object)

object.ToString()

Remarks

Vertical flipping mirrors the image along its horizontal center axis, swapping the top and bottom portions. This is less commonly used than horizontal flipping because most real-world objects have a consistent "up" orientation (gravity matters!).

For Beginners: Think of this like flipping a photo upside down. The top of the image becomes the bottom, and vice versa. Use this carefully because many objects look unnatural when flipped vertically (imagine an upside-down car or person).

When to use:

• Satellite or aerial imagery where "up" is arbitrary
• Microscopy images with no inherent orientation
• Abstract pattern recognition
• Medical imaging where orientation varies by acquisition

When NOT to use:

• Natural photography with gravity-oriented subjects
• Facial recognition or human pose estimation
• Vehicle recognition (cars don't drive upside down)
• Any task where vertical orientation is meaningful

Constructors

VerticalFlip(double)

Creates a new vertical flip augmentation.

public VerticalFlip(double probability = 0.5)

Parameters

probability double

The probability of applying this augmentation (0.0 to 1.0). Industry standard default is 0.5 (50% chance of flipping each image).

Remarks

For Beginners: A probability of 0.5 means each image has a 50-50 chance of being flipped. Consider using a lower probability (like 0.25) if vertical flips might create unrealistic-looking images for your use case.

Methods

ApplyWithTransformParams(ImageTensor<T>, AugmentationContext<T>)

Applies the vertical flip transformation and returns transform parameters.

protected override (ImageTensor<T> data, IDictionary<string, object> parameters) ApplyWithTransformParams(ImageTensor<T> data, AugmentationContext<T> context)

Parameters

data ImageTensor<T>

context AugmentationContext<T>

Returns

(ImageTensor<T> data, IDictionary<string, object> parameters)

GetParameters()

Gets the parameters of this augmentation.

public override IDictionary<string, object> GetParameters()

Returns

IDictionary<string, object>

A dictionary of parameter names to values.

TransformBoundingBox(BoundingBox<T>, IDictionary<string, object>, AugmentationContext<T>)

Transforms a bounding box after vertical flip.

protected override BoundingBox<T> TransformBoundingBox(BoundingBox<T> box, IDictionary<string, object> transformParams, AugmentationContext<T> context)

Parameters

box BoundingBox<T>

transformParams IDictionary<string, object>

context AugmentationContext<T>

Returns

BoundingBox<T>

TransformKeypoint(Keypoint<T>, IDictionary<string, object>, AugmentationContext<T>)

Transforms a keypoint after vertical flip.

protected override Keypoint<T> TransformKeypoint(Keypoint<T> keypoint, IDictionary<string, object> transformParams, AugmentationContext<T> context)

Parameters

keypoint Keypoint<T>

transformParams IDictionary<string, object>

context AugmentationContext<T>

Returns

Keypoint<T>

TransformMask(SegmentationMask<T>, IDictionary<string, object>, AugmentationContext<T>)

Transforms a segmentation mask after vertical flip.

protected override SegmentationMask<T> TransformMask(SegmentationMask<T> mask, IDictionary<string, object> transformParams, AugmentationContext<T> context)

Parameters

mask SegmentationMask<T>

transformParams IDictionary<string, object>

context AugmentationContext<T>

Returns

SegmentationMask<T>