image

Type Members

1. class BufferedImageResize extends ImageProcessing

   

   Resize loading image

2. class ChainedImageProcessing extends ImageProcessing

   

   A transformer chain two ImageProcessing together.

3. class DistributedImageSet extends ImageSet

   

4. class ImageAspectScale extends ImageProcessing

   

5. class ImageBrightness extends ImageProcessing

   

   adjust the image brightness

6. class ImageBytesToMat extends ImageProcessing

   

   Transform byte array(original image file in byte) to OpenCVMat

7. class ImageCenterCrop extends ImageProcessing

   

8. class ImageChannelNormalize extends ImageProcessing

   

   image channel normalize

9. class ImageChannelOrder extends ImageProcessing

   

   random change the channel of an image

10. class ImageChannelScaledNormalizer extends ImageProcessing

    

    Channel normalization with scale factor.

11. class ImageColorJitter extends ImageProcessing

    

    Random adjust brightness, contrast, hue, saturation

12. class ImageExpand extends ImageProcessing

    

    expand image, fill the blank part with the meanR, meanG, meanB

13. class ImageFeatureToSample[T] extends Transformer[ImageFeature, Sample[T]]

    

14. class ImageFeatureToTensor[T] extends Preprocessing[ImageFeature, Tensor[T]]

    

    a Preprocessing that convert ImageFeature to a Tensor.

15. class ImageFiller extends ImageProcessing

    

    Fill part of image with certain pixel value

16. class ImageFixedCrop extends ImageProcessing

    

    Crop a fixed area of image

17. class ImageHFlip extends ImageProcessing

    

    Flip the image horizontally

18. class ImageHue extends ImageProcessing

    

    Adjust image hue

19. class ImageMatToFloats extends ImageProcessing

    

20. class ImageMatToTensor[T] extends ImageProcessing

    

    transform opencv mat to tensor

21. class ImagePixelBytesToMat extends ImageProcessing

    

    Transform byte array(pixels in byte) to OpenCVMat

22. class ImagePixelNormalizer extends ImageProcessing

    

    Pixel level normalizer, data(i) = data(i) - mean(i)

23. abstract class ImageProcessing extends FeatureTransformer with Preprocessing[ImageFeature, ImageFeature]

    

24. class ImageRandomAspectScale extends ImageProcessing

    

25. class ImageRandomCrop extends ImageProcessing

    

    Random crop a cropWidth x cropHeight patch from an image.

    Random crop a cropWidth x cropHeight patch from an image. The patch size should be less than the image size.

26. class ImageRandomCropper extends ImageProcessing

    

    Random cropper on uniform distribution with fixed height and width.

27. class ImageRandomPreprocessing extends ImageProcessing

    

    Randomly apply the preprocessing to some of the input ImageFeatures, with probability specified.

    Randomly apply the preprocessing to some of the input ImageFeatures, with probability specified. E.g. if prob = 0.5, the preprocessing will apply to half of the input ImageFeatures.

28. class ImageRandomResize extends ImageProcessing

    

    Randomly resize an image between minSize and maxSize and scale height and width to each other.

29. class ImageRandomSampler extends ImageProcessing

    

    Random sample a bounding box given some constraints and crop the image This is used in SSD training augmentation

30. class ImageResize extends ImageProcessing

    

31. case class ImageRoiHFlip(normalized: Boolean = true) extends ImageProcessing with Product with Serializable

    

    horizontally flip the roi

    horizontally flip the roi

    normalized

    whether the roi is normalized, i.e. in range [0, 1]

32. case class ImageRoiNormalize() extends ImageProcessing with Product with Serializable

    

    Normalize Roi to [0, 1]

33. case class ImageRoiProject(needMeetCenterConstraint: Boolean = true) extends ImageProcessing with Product with Serializable

    

    Project gt boxes onto the coordinate system defined by image boundary

    Project gt boxes onto the coordinate system defined by image boundary

    needMeetCenterConstraint

    whether need to meet center constraint, i.e., the center of gt box need be within image boundary

34. case class ImageRoiResize(normalized: Boolean = false) extends ImageProcessing with Product with Serializable

    

    resize the roi according to scale

    resize the roi according to scale

    normalized

    whether the roi is normalized, i.e. in range [0, 1]

35. class ImageSaturation extends ImageProcessing

    

    Adjust image saturation

36. abstract class ImageSet extends AnyRef

    

    ImageSet wraps a set of ImageFeature

37. class ImageSetToSample[T] extends ImageProcessing

    

    Transforms tensors that map inputKeys and targetKeys to sample

38. class LocalImageSet extends ImageSet

    

39. class PerImageNormalize extends ImageProcessing

    

    Normalizes the norm or value range Per image, similar to opencv::normalize https://docs.opencv.org/ref/master/d2/de8/groupcorearray.html #ga87eef7ee3970f86906d69a92cbf064bd ImageNormalize normalizes scale and shift the input features.

    Normalizes the norm or value range Per image, similar to opencv::normalize https://docs.opencv.org/ref/master/d2/de8/groupcorearray.html #ga87eef7ee3970f86906d69a92cbf064bd ImageNormalize normalizes scale and shift the input features. Various normalize methods are supported. Eg. NORM_INF, NORM_L1, NORM_L2 or NORM_MINMAX. Pleas notice it's a per image normalization.

40. class RowToImageFeature[T] extends Preprocessing[Row, ImageFeature]

    

    a Preprocessing that converts a Spark Row to a BigDL ImageFeature.