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CropAndResize

INDArray CropAndResize(INDArray image, INDArray cropBoxes, INDArray boxIndices, INDArray cropOutSize, double extrapolationValue)
INDArray CropAndResize(INDArray image, INDArray cropBoxes, INDArray boxIndices, INDArray cropOutSize)

SDVariable CropAndResize(SDVariable image, SDVariable cropBoxes, SDVariable boxIndices, SDVariable cropOutSize, double extrapolationValue)
SDVariable CropAndResize(SDVariable image, SDVariable cropBoxes, SDVariable boxIndices, SDVariable cropOutSize)
SDVariable CropAndResize(String name, SDVariable image, SDVariable cropBoxes, SDVariable boxIndices, SDVariable cropOutSize, double extrapolationValue)
SDVariable CropAndResize(String name, SDVariable image, SDVariable cropBoxes, SDVariable boxIndices, SDVariable cropOutSize)

Given an input image and some crop boxes, extract out the image subsets and resize them to the specified size.

  • image (NUMERIC) - Input image, with shape [batch, height, width, channels]

  • cropBoxes (NUMERIC) - Float32 crop, shape [numBoxes, 4] with values in range 0 to 1

  • boxIndices (NUMERIC) - Indices: which image (index to dimension 0) the cropBoxes belong to. Rank 1, shape [numBoxes]

  • cropOutSize (INT) - Output size for the images - int32, rank 1 with values [outHeight, outWidth]

  • extrapolationValue - Used for extrapolation, when applicable. 0.0 should be used for the default - default = 0.0

adjustContrast

INDArray adjustContrast(INDArray in, double factor)

SDVariable adjustContrast(SDVariable in, double factor)
SDVariable adjustContrast(String name, SDVariable in, double factor)

Adjusts contrast of RGB or grayscale images.

  • in (NUMERIC) - images to adjust. 3D shape or higher

  • factor - multiplier for adjusting contrast

adjustHue

Adjust hue of RGB image

  • in (NUMERIC) - image as 3D array

  • delta - value to add to hue channel

adjustSaturation

Adjust saturation of RGB images

  • in (NUMERIC) - RGB image as 3D array

  • factor - factor for saturation

extractImagePatches

Given an input image, extract out image patches (of size kSizes - h x w) and place them in the depth dimension.

  • image (NUMERIC) - Input image to extract image patches from - shape [batch, height, width, channels]

  • kSizes - Kernel size - size of the image patches, [height, width] (Size: Exactly(count=2))

  • strides - Stride in the input dimension for extracting image patches, [stride_height, stride_width] (Size: Exactly(count=2))

  • rates - Usually [1,1]. Equivalent to dilation rate in dilated convolutions - how far apart the output pixels

  • sameMode - Padding algorithm. If true: use Same padding

hsvToRgb

Converting image from HSV to RGB format

  • input (NUMERIC) - 3D image

imageResize

Resize images to size using the specified method.

  • input (NUMERIC) - 4D image [NHWC]

  • size (INT) - new height and width

  • preserveAspectRatio - Whether to preserve the aspect ratio. If this is set, then images will be resized to a size that fits in size while preserving the aspect ratio of the original image. Scales up the image if size is bigger than the current size of the image. Defaults to False. - default = false

  • antialis - Whether to use an anti-aliasing filter when downsampling an image - default = false

  • ImageResizeMethod - ResizeBilinear: Bilinear interpolation. If 'antialias' is true, becomes a hat/tent filter function with radius 1 when downsampling.

    ResizeLanczos5: Lanczos kernel with radius 5. Very-high-quality filter but may have stronger ringing.

    ResizeBicubic: Cubic interpolant of Keys. Equivalent to Catmull-Rom kernel. Reasonably good quality and faster than Lanczos3Kernel, particularly when upsampling.

    ResizeGaussian: Gaussian kernel with radius 3, sigma = 1.5 / 3.0.

    ResizeNearest: Nearest neighbor interpolation. 'antialias' has no effect when used with nearest neighbor interpolation.

    ResizeArea: Anti-aliased resampling with area interpolation. 'antialias' has no effect when used with area interpolation; it always anti-aliases.

    ResizeMitchelcubic: Mitchell-Netravali Cubic non-interpolating filter. For synthetic images (especially those lacking proper prefiltering), less ringing than Keys cubic kernel but less sharp.

nonMaxSuppression

Greedily selects a subset of bounding boxes in descending order of score

  • boxes (NUMERIC) - Might be null. Name for the output variable

  • scores (NUMERIC) - vector of shape [num_boxes]

  • maxOutSize - scalar representing the maximum number of boxes to be selected

  • iouThreshold - threshold for deciding whether boxes overlap too much with respect to IOU

  • scoreThreshold - threshold for deciding when to remove boxes based on score

randomCrop

Randomly crops image

  • input (NUMERIC) - input array

  • shape (INT) - shape for crop

rgbToHsv

Converting array from HSV to RGB format

  • input (NUMERIC) - 3D image

rgbToYiq

Converting array from RGB to YIQ format

  • input (NUMERIC) - 3D image

rgbToYuv

Converting array from RGB to YUV format

  • input (NUMERIC) - 3D image

yiqToRgb

Converting image from YIQ to RGB format

  • input (NUMERIC) - 3D image

yuvToRgb

Converting image from YUV to RGB format

  • input (NUMERIC) - 3D image

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