Index (konduit-serving-image-config 0.3.0 API)

A B C D E F G H I K L M N O P R S T V W
All Classes All Packages

A

ai.konduit.serving.data.image - package ai.konduit.serving.data.image
ai.konduit.serving.data.image.convert - package ai.konduit.serving.data.image.convert
ai.konduit.serving.data.image.convert.config - package ai.konduit.serving.data.image.convert.config
ai.konduit.serving.data.image.step.bb.draw - package ai.konduit.serving.data.image.step.bb.draw
ai.konduit.serving.data.image.step.bb.extract - package ai.konduit.serving.data.image.step.bb.extract
ai.konduit.serving.data.image.step.capture - package ai.konduit.serving.data.image.step.capture
ai.konduit.serving.data.image.step.crop - package ai.konduit.serving.data.image.step.crop
ai.konduit.serving.data.image.step.face - package ai.konduit.serving.data.image.step.face
ai.konduit.serving.data.image.step.grayscale - package ai.konduit.serving.data.image.step.grayscale
ai.konduit.serving.data.image.step.grid.crop - package ai.konduit.serving.data.image.step.grid.crop
ai.konduit.serving.data.image.step.grid.draw - package ai.konduit.serving.data.image.step.grid.draw
ai.konduit.serving.data.image.step.ndarray - package ai.konduit.serving.data.image.step.ndarray
ai.konduit.serving.data.image.step.point.convert - package ai.konduit.serving.data.image.step.point.convert
ai.konduit.serving.data.image.step.point.draw - package ai.konduit.serving.data.image.step.point.draw
ai.konduit.serving.data.image.step.point.heatmap - package ai.konduit.serving.data.image.step.point.heatmap
ai.konduit.serving.data.image.step.point.perspective.convert - package ai.konduit.serving.data.image.step.point.perspective.convert
ai.konduit.serving.data.image.step.resize - package ai.konduit.serving.data.image.step.resize
ai.konduit.serving.data.image.step.segmentation.index - package ai.konduit.serving.data.image.step.segmentation.index
ai.konduit.serving.data.image.step.show - package ai.konduit.serving.data.image.step.show
ai.konduit.serving.data.image.util - package ai.konduit.serving.data.image.util
aspectRatioHandling - Variable in class ai.konduit.serving.data.image.step.resize.ImageResizeStep
AspectRatioHandling - Enum in ai.konduit.serving.data.image.convert.config: How We should handle the situation where the input image and output image/NDArray have different aspect ratios?
Use in ImageToNDArrayConfig and ImageResizeStep See ImageToNDArrayConfig for more details
CENTER_CROP: Crop the larger dimension down to the correct aspect ratio (and then resize if necessary). PAD: Zero pad the smaller dimension to make the aspect ratio match the output (and then resize if necessary) STRETCH: Simply resize the image to the required aspect ratio, distorting the image if necessary
AT_LEAST - ai.konduit.serving.data.image.step.bb.draw.DrawBoundingBoxStep.Scale
AT_LEAST - ai.konduit.serving.data.image.step.face.DrawFaceKeyPointsStep.Scale
AT_MOST - ai.konduit.serving.data.image.step.bb.draw.DrawBoundingBoxStep.Scale
AT_MOST - ai.konduit.serving.data.image.step.face.DrawFaceKeyPointsStep.Scale

B

BATCH - ai.konduit.serving.data.image.convert.ImageToNDArrayConfig.ListHandling
BGR - ai.konduit.serving.data.image.convert.config.NDChannelLayout
BGRA - ai.konduit.serving.data.image.convert.config.NDChannelLayout

C

CameraFrameCaptureStep - Class in ai.konduit.serving.data.image.step.capture
CameraFrameCaptureStep(int, int, int, String, Integer) - Constructor for class ai.konduit.serving.data.image.step.capture.CameraFrameCaptureStep
CENTER_CROP - ai.konduit.serving.data.image.convert.config.AspectRatioHandling
CHANNELS_FIRST - ai.konduit.serving.data.image.convert.config.NDFormat
CHANNELS_LAST - ai.konduit.serving.data.image.convert.config.NDFormat
classColors(String...) - Method in class ai.konduit.serving.data.image.step.segmentation.index.DrawSegmentationStep
COLOR_DESCRIPTION - Static variable in class ai.konduit.serving.data.image.util.ColorConstants
ColorConstants - Class in ai.konduit.serving.data.image.util
ColorConstants() - Constructor for class ai.konduit.serving.data.image.util.ColorConstants
coordsArePixels - Variable in class ai.konduit.serving.data.image.step.crop.ImageCropStep
cropBox - Variable in class ai.konduit.serving.data.image.step.crop.ImageCropStep
CropFixedGridStep - Class in ai.konduit.serving.data.image.step.grid.crop: As per CropGridStep but the x/y location values are hardcoded into the configuration, instead of coming dynamically from the input Data instance
CropFixedGridStep() - Constructor for class ai.konduit.serving.data.image.step.grid.crop.CropFixedGridStep
CropGridStep - Class in ai.konduit.serving.data.image.step.grid.crop: Crop sub images out of a larger image, based on a grid.
CropGridStep() - Constructor for class ai.konduit.serving.data.image.step.grid.crop.CropGridStep
cropName - Variable in class ai.konduit.serving.data.image.step.crop.ImageCropStep
cropPoints - Variable in class ai.konduit.serving.data.image.step.crop.ImageCropStep

D

DEFAULT_BOX_COLOR - Static variable in class ai.konduit.serving.data.image.step.face.DrawFaceKeyPointsStep
DEFAULT_COLOR - Static variable in class ai.konduit.serving.data.image.step.bb.draw.DrawBoundingBoxStep
DEFAULT_COLOR - Static variable in class ai.konduit.serving.data.image.step.grid.draw.DrawFixedGridStep
DEFAULT_COLOR - Static variable in class ai.konduit.serving.data.image.step.grid.draw.DrawGridStep
DEFAULT_METADATA_KEY - Static variable in class ai.konduit.serving.data.image.step.ndarray.ImageToNDArrayStep
DEFAULT_NO_POINT_COLOR - Static variable in class ai.konduit.serving.data.image.step.point.draw.DrawPointsStep
DEFAULT_OPACITY - Static variable in class ai.konduit.serving.data.image.step.segmentation.index.DrawSegmentationStep
DEFAULT_OUTPUT_NAME - Static variable in class ai.konduit.serving.data.image.step.face.DrawFaceKeyPointsStep
DEFAULT_OUTPUT_NAME - Static variable in class ai.konduit.serving.data.image.step.grid.crop.CropGridStep
DEFAULT_OUTPUT_NAME - Static variable in class ai.konduit.serving.data.image.step.point.draw.DrawPointsStep
DEFAULT_OUTPUT_NAME - Static variable in class ai.konduit.serving.data.image.step.point.heatmap.DrawHeatmapStep
DEFAULT_OUTPUT_NAME - Static variable in class ai.konduit.serving.data.image.step.segmentation.index.DrawSegmentationStep
DEFAULT_POINT_COLOR - Static variable in class ai.konduit.serving.data.image.step.face.DrawFaceKeyPointsStep
DrawBoundingBoxStep - Class in ai.konduit.serving.data.image.step.bb.draw: Scale: NONE: No scaling AT_LEAST: Scale up if necessary, so H >= scaleH and W >= scaleW AT_MOST: Scale down if necessary, so H <= scaleH and W <= scaleW
DrawBoundingBoxStep() - Constructor for class ai.konduit.serving.data.image.step.bb.draw.DrawBoundingBoxStep
DrawBoundingBoxStep.Scale - Enum in ai.konduit.serving.data.image.step.bb.draw
DrawFaceKeyPointsStep - Class in ai.konduit.serving.data.image.step.face: A step for drawing face keypoints.
DrawFaceKeyPointsStep() - Constructor for class ai.konduit.serving.data.image.step.face.DrawFaceKeyPointsStep
DrawFaceKeyPointsStep.Scale - Enum in ai.konduit.serving.data.image.step.face
DrawFixedGridStep - Class in ai.konduit.serving.data.image.step.grid.draw: As per DrawGridStep but the x/y location values are hardcoded into the configuration, instead of coming dynamically from the input Data instance
DrawFixedGridStep() - Constructor for class ai.konduit.serving.data.image.step.grid.draw.DrawFixedGridStep
DrawGridStep - Class in ai.konduit.serving.data.image.step.grid.draw: Draw a grid on the specified image, based on the x/y coordinates of the corners, and the number of segments within the grid in both directions.
The 4 corner coordinates are defined as points, and come from Data.getListPoint(name), in the following order: topLeft, topRight, bottomLeft, bottomRight
gridX is the number of grid segments between (topLeft and topRight) and (bottomLeft and bottomRight).
gridY is the number of grid segments between (topLeft and bottomLeft) and (topRight and bottomRight)
The colors and line thicknesses can be configured.
DrawGridStep() - Constructor for class ai.konduit.serving.data.image.step.grid.draw.DrawGridStep
DrawHeatmapStep - Class in ai.konduit.serving.data.image.step.point.heatmap: Draw a heatmap using 2D points.
Heat will accumulate over the lifecycle of this step.
Configuration:
points: Names of the points to be used for the heatmap.
DrawHeatmapStep() - Constructor for class ai.konduit.serving.data.image.step.point.heatmap.DrawHeatmapStep
DrawPointsStep - Class in ai.konduit.serving.data.image.step.point.draw: Draw 2D points
Configuration:
classColors: Optional: A list of colors to use for each class.
DrawPointsStep() - Constructor for class ai.konduit.serving.data.image.step.point.draw.DrawPointsStep
DrawSegmentationStep - Class in ai.konduit.serving.data.image.step.segmentation.index: Draw segmentation mask, optionally on an image.
Configuration:
classColors: Optional: A list of colors to use for each class.
DrawSegmentationStep() - Constructor for class ai.konduit.serving.data.image.step.segmentation.index.DrawSegmentationStep

E

ExtractBoundingBoxStep - Class in ai.konduit.serving.data.image.step.bb.extract: ExtractBoundingBoxStep: Given one or more bounding boxes, and an input image, extract from the input region an image that corresponds to the bounding box region.
i.e.: output as images the input image region covered by the bounding boxes
Note: supports both BoundingBox and List<BoundingBox> fields.
ExtractBoundingBoxStep() - Constructor for class ai.konduit.serving.data.image.step.bb.extract.ExtractBoundingBoxStep

F

FIRST - ai.konduit.serving.data.image.convert.ImageToNDArrayConfig.ListHandling

G

getImagenetMeanRgb() - Static method in class ai.konduit.serving.data.image.convert.config.ImageNormalization
getImageNetStdRgb() - Static method in class ai.konduit.serving.data.image.convert.config.ImageNormalization
getSubTypesMapping() - Method in class ai.konduit.serving.data.image.KonduitServingImageConfigJsonMapping
getVggMeanRgb() - Static method in class ai.konduit.serving.data.image.convert.config.ImageNormalization
GRAYSCALE - ai.konduit.serving.data.image.convert.config.NDChannelLayout
GrayScaleStep - Class in ai.konduit.serving.data.image.step.grayscale: Transforms an image to be gray scale.
GrayScaleStep() - Constructor for class ai.konduit.serving.data.image.step.grayscale.GrayScaleStep

H

height - Variable in class ai.konduit.serving.data.image.step.resize.ImageResizeStep

I

IMAGE_NET - ai.konduit.serving.data.image.convert.config.ImageNormalization.Type
IMAGE_NET_MEAN_RGB - Static variable in class ai.konduit.serving.data.image.convert.config.ImageNormalization
IMAGE_NET_STD_RGB - Static variable in class ai.konduit.serving.data.image.convert.config.ImageNormalization
ImageConfigModuleInfo - Class in ai.konduit.serving.data.image
ImageCropStep - Class in ai.konduit.serving.data.image.step.crop: Crop an image to the specified rectangular region.
ImageCropStep(String, String, List<Point>, BoundingBox, boolean) - Constructor for class ai.konduit.serving.data.image.step.crop.ImageCropStep
imageH - Variable in class ai.konduit.serving.data.image.step.point.convert.RelativeToAbsoluteStep
imageName - Variable in class ai.konduit.serving.data.image.step.crop.ImageCropStep
imageName - Variable in class ai.konduit.serving.data.image.step.point.convert.RelativeToAbsoluteStep
ImageNormalization - Class in ai.konduit.serving.data.image.convert.config: NONE: No image normalization will be applied SCALE: Divide images by maxValue/2, or divide by 255/2 if maxValue is not specified, then subtract 1.0, to give output in range [-1,1].
ImageNormalization() - Constructor for class ai.konduit.serving.data.image.convert.config.ImageNormalization
ImageNormalization(ImageNormalization.Type) - Constructor for class ai.konduit.serving.data.image.convert.config.ImageNormalization
ImageNormalization.Type - Enum in ai.konduit.serving.data.image.convert.config
ImageResizeStep - Class in ai.konduit.serving.data.image.step.resize: Resize an image - scaling up or down as needed to comply with the specified output height/width.
ImageResizeStep(List<String>, Integer, Integer, AspectRatioHandling) - Constructor for class ai.konduit.serving.data.image.step.resize.ImageResizeStep
imageToNDArrayConfig - Variable in class ai.konduit.serving.data.image.step.point.convert.RelativeToAbsoluteStep
ImageToNDArrayConfig - Class in ai.konduit.serving.data.image.convert: Configuration for converting Images to NDArrays.
ImageToNDArrayConfig(Integer, Integer, NDArrayType, boolean, AspectRatioHandling, NDFormat, NDChannelLayout, ImageNormalization, ImageToNDArrayConfig.ListHandling) - Constructor for class ai.konduit.serving.data.image.convert.ImageToNDArrayConfig
ImageToNDArrayConfig.ListHandling - Enum in ai.konduit.serving.data.image.convert: See ImageToNDArrayConfig - listHandling field
ImageToNDArrayStep - Class in ai.konduit.serving.data.image.step.ndarray: A PipelineStep for converting Images to NDArrays.
ImageToNDArrayStep(ImageToNDArrayConfig, List<String>, List<String>, boolean, boolean, String) - Constructor for class ai.konduit.serving.data.image.step.ndarray.ImageToNDArrayStep
imageW - Variable in class ai.konduit.serving.data.image.step.point.convert.RelativeToAbsoluteStep
INCEPTION - ai.konduit.serving.data.image.convert.config.ImageNormalization.Type
inputName(String) - Method in class ai.konduit.serving.data.image.step.resize.ImageResizeStep: Set the input name - i.e., the name of the Image or List<Image> field to be processed.
inputNames - Variable in class ai.konduit.serving.data.image.step.resize.ImageResizeStep
inputNames(String...) - Method in class ai.konduit.serving.data.image.step.point.perspective.convert.PerspectiveTransformStep
inputNames(String...) - Method in class ai.konduit.serving.data.image.step.resize.ImageResizeStep
INVALID_COLOR - Static variable in class ai.konduit.serving.data.image.util.ColorConstants

K

keys(String...) - Method in class ai.konduit.serving.data.image.step.ndarray.ImageToNDArrayStep
KonduitServingImageConfigJsonMapping - Class in ai.konduit.serving.data.image
KonduitServingImageConfigJsonMapping() - Constructor for class ai.konduit.serving.data.image.KonduitServingImageConfigJsonMapping

L

LIST_OUT - ai.konduit.serving.data.image.convert.ImageToNDArrayConfig.ListHandling

M

META_CROP_REGION - Static variable in class ai.konduit.serving.data.image.step.ndarray.ImageToNDArrayStep
META_IMG_H - Static variable in class ai.konduit.serving.data.image.step.ndarray.ImageToNDArrayStep
META_IMG_W - Static variable in class ai.konduit.serving.data.image.step.ndarray.ImageToNDArrayStep
META_INNAME_KEY - Static variable in class ai.konduit.serving.data.image.step.ndarray.ImageToNDArrayStep
META_OUTNAME_KEY - Static variable in class ai.konduit.serving.data.image.step.ndarray.ImageToNDArrayStep

N

NDChannelLayout - Enum in ai.konduit.serving.data.image.convert.config: Represents the type (and order) of the channels for an image after it has been converted to an NDArray RGB: 3 channels, ordered according to: red, green, blue - most common for TensorFlow, Keras, and some other libraries BGR: 3 channels, ordered according to: blue, green, red - the default for OpenCV, JavaCV, DL4J RGBA: 4 channels, ordered according to: red, green, blue, alpha BGRA: 4 channels, ordered according to: blue, green, red, alpha GRAYSCALE: 1 channel - grayscale
NDFormat - Enum in ai.konduit.serving.data.image.convert.config
NONE - ai.konduit.serving.data.image.convert.config.ImageNormalization.Type
NONE - ai.konduit.serving.data.image.convert.ImageToNDArrayConfig.ListHandling
NONE - ai.konduit.serving.data.image.step.bb.draw.DrawBoundingBoxStep.Scale
NONE - ai.konduit.serving.data.image.step.face.DrawFaceKeyPointsStep.Scale
numChannels() - Method in enum ai.konduit.serving.data.image.convert.config.NDChannelLayout

O

outputNames(String...) - Method in class ai.konduit.serving.data.image.step.ndarray.ImageToNDArrayStep
outputNames(String...) - Method in class ai.konduit.serving.data.image.step.point.perspective.convert.PerspectiveTransformStep

P

PAD - ai.konduit.serving.data.image.convert.config.AspectRatioHandling
PerspectiveTransformStep - Class in ai.konduit.serving.data.image.step.point.perspective.convert: PerspectiveTransformStep: Applies a perspective transformation to Images, Points and Bounding Boxes.
The transformation is defined either statically with the Step definition or dynamically with a list of 4 points in an input.
PerspectiveTransformStep() - Constructor for class ai.konduit.serving.data.image.step.point.perspective.convert.PerspectiveTransformStep
points(Point...) - Method in class ai.konduit.serving.data.image.step.grid.crop.CropFixedGridStep
points(Point...) - Method in class ai.konduit.serving.data.image.step.grid.draw.DrawFixedGridStep
points(String...) - Method in class ai.konduit.serving.data.image.step.point.draw.DrawPointsStep
points(String...) - Method in class ai.konduit.serving.data.image.step.point.heatmap.DrawHeatmapStep

R

RelativeToAbsoluteStep - Class in ai.konduit.serving.data.image.step.point.convert: For a given set of Point, List<Point>, BoundingBox or List<BoundingBox> that are defined in relative terms (i.e., all values 0.0 to 1.0 in terms of "fraction of image height/width"), convert these to absolute values (i.e., pixels) using:
(a) An input image, as specified via the imageName configuration, OR
(b) An image height, as specified by imageH and imageW configuration

Note that an ImageToNDArrayConfig can be provided, to account for the fact that the original image may have been cropped before being passed into a network that produced the Points or BoundingBoxes.
If the imageToNDArrayConfig field is null, it is assumed no cropping has occurred.
RelativeToAbsoluteStep() - Constructor for class ai.konduit.serving.data.image.step.point.convert.RelativeToAbsoluteStep
RGB - ai.konduit.serving.data.image.convert.config.NDChannelLayout
RGBA - ai.konduit.serving.data.image.convert.config.NDChannelLayout

S

SCALE - ai.konduit.serving.data.image.convert.config.ImageNormalization.Type
SCALE_01 - ai.konduit.serving.data.image.convert.config.ImageNormalization.Type
ShowImageStep - Class in ai.konduit.serving.data.image.step.show
ShowImageStep(String, String, Integer, Integer, boolean) - Constructor for class ai.konduit.serving.data.image.step.show.ShowImageStep
sourcePoints(Point...) - Method in class ai.konduit.serving.data.image.step.point.perspective.convert.PerspectiveTransformStep
STANDARDIZE - ai.konduit.serving.data.image.convert.config.ImageNormalization.Type
STRETCH - ai.konduit.serving.data.image.convert.config.AspectRatioHandling
SUBTRACT_MEAN - ai.konduit.serving.data.image.convert.config.ImageNormalization.Type

T

targetPoints(Point...) - Method in class ai.konduit.serving.data.image.step.point.perspective.convert.PerspectiveTransformStep
toConvert - Variable in class ai.konduit.serving.data.image.step.point.convert.RelativeToAbsoluteStep
toConvert(String...) - Method in class ai.konduit.serving.data.image.step.point.convert.RelativeToAbsoluteStep
type - Variable in class ai.konduit.serving.data.image.convert.config.ImageNormalization

V

valueOf(String) - Static method in enum ai.konduit.serving.data.image.convert.config.AspectRatioHandling: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum ai.konduit.serving.data.image.convert.config.ImageNormalization.Type: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum ai.konduit.serving.data.image.convert.config.NDChannelLayout: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum ai.konduit.serving.data.image.convert.config.NDFormat: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum ai.konduit.serving.data.image.convert.ImageToNDArrayConfig.ListHandling: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum ai.konduit.serving.data.image.step.bb.draw.DrawBoundingBoxStep.Scale: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum ai.konduit.serving.data.image.step.face.DrawFaceKeyPointsStep.Scale: Returns the enum constant of this type with the specified name.
values() - Static method in enum ai.konduit.serving.data.image.convert.config.AspectRatioHandling: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum ai.konduit.serving.data.image.convert.config.ImageNormalization.Type: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum ai.konduit.serving.data.image.convert.config.NDChannelLayout: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum ai.konduit.serving.data.image.convert.config.NDFormat: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum ai.konduit.serving.data.image.convert.ImageToNDArrayConfig.ListHandling: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum ai.konduit.serving.data.image.step.bb.draw.DrawBoundingBoxStep.Scale: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum ai.konduit.serving.data.image.step.face.DrawFaceKeyPointsStep.Scale: Returns an array containing the constants of this enum type, in the order they are declared.
VGG_MEAN_RGB - Static variable in class ai.konduit.serving.data.image.convert.config.ImageNormalization
VGG_SUBTRACT_MEAN - ai.konduit.serving.data.image.convert.config.ImageNormalization.Type
VideoFrameCaptureStep - Class in ai.konduit.serving.data.image.step.capture: VideoFrameCaptureStep extracts a single frame from a video each time inference is called.
VideoFrameCaptureStep(String, String, boolean, Integer) - Constructor for class ai.konduit.serving.data.image.step.capture.VideoFrameCaptureStep

W

width - Variable in class ai.konduit.serving.data.image.step.resize.ImageResizeStep

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