Image

Value Members

1. final def !=(arg0: Any): Boolean

   

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2. final def ##(): Int

   

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3. final def ==(arg0: Any): Boolean

   

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4. final def asInstanceOf[T0]: T0

   

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5. def clone(): AnyRef

   

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   protected[java.lang]

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6. def copyMakeBorder(src: NDArray, top: Int, bot: Int, left: Int, right: Int, typeOf: Option[Int] = None, value: Option[Double] = None, values: Option[Any] = None, out: Option[NDArray] = None): NDArray

   

   Pad image border with OpenCV.

   Pad image border with OpenCV.

   src

   source image

   top

   Top margin.

   bot

   Bottom margin.

   left

   Left margin.

   right

   Right margin.

   typeOf

   Filling type (default=cv2.BORDER_CONSTANT).

   value

   (Deprecated! Use values instead.) Fill with single value.

   values

   Fill with value(RGB[A] or gray), up to 4 channels.

   out

   NDArray to store the output

   returns

   org.apache.mxnet.NDArray

7. def drawBoundingBox(src: BufferedImage, coordinate: Array[Map[String, Int]], names: Option[Array[String]] = None, stroke: Option[Int] = Some(3), fontSizeMult: Option[Float] = Some(1.0f), transparency: Option[Float] = Some(1.0f)): Unit

   

   Method to draw bounding boxes for an image

   Method to draw bounding boxes for an image

   src

   Source of the buffered image

   coordinate

   Contains Map of xmin, xmax, ymin, ymax corresponding to top-left and down-right points

   names

   The name set of the bounding box

   stroke

   Thickness of the bounding box

   fontSizeMult

   Font size multiplier

   transparency

   Transparency of the bounding box

8. final def eq(arg0: AnyRef): Boolean

   

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9. def equals(arg0: Any): Boolean

   

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10. def finalize(): Unit

    

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11. def fixedCrop(src: NDArray, x0: Int, y0: Int, w: Int, h: Int): NDArray

    

    Do a fixed crop on the image

    Do a fixed crop on the image

    src

    Src image in NDArray

    x0

    starting x point

    y0

    starting y point

    w

    width of the image

    h

    height of the image

    returns

    cropped NDArray

12. final def getClass(): Class[_]

    

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13. def hashCode(): Int

    

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14. def imDecode(inputStream: InputStream, flag: Int = 1, to_rgb: Boolean = true, out: Option[NDArray] = None): NDArray

    

    Same imageDecode with InputStream

    Same imageDecode with InputStream

    inputStream

    the inputStream of the image

    flag

    Convert decoded image to grayscale (0) or color (1).

    to_rgb

    Whether to convert decoded image to mxnet's default RGB format (instead of opencv's default BGR).

    out

    NDArray to store the output

    returns

    NDArray in HWC format with DType DType.UInt8

15. def imDecode(buf: Array[Byte], flag: Int, to_rgb: Boolean, out: Option[NDArray]): NDArray

    

    Decode image with OpenCV.

    Decode image with OpenCV. Note: return image in RGB by default, instead of OpenCV's default BGR.

    buf

    Buffer containing binary encoded image

    flag

    Convert decoded image to grayscale (0) or color (1).

    to_rgb

    Whether to convert decoded image to mxnet's default RGB format (instead of opencv's default BGR).

    out

    NDArray to store the output

    returns

    NDArray in HWC format with DType DType.UInt8

16. def imRead(filename: String, flag: Option[Int] = None, to_rgb: Option[Boolean] = None, out: Option[NDArray] = None): NDArray

    

    Read and decode image with OpenCV.

    Read and decode image with OpenCV. Note: return image in RGB by default, instead of OpenCV's default BGR.

    filename

    Name of the image file to be loaded.

    flag

    Convert decoded image to grayscale (0) or color (1).

    to_rgb

    Whether to convert decoded image to mxnet's default RGB format (instead of opencv's default BGR).

    out

    NDArray to store the output

    returns

    org.apache.mxnet.NDArray in HWC format with DType DType.UInt8

17. def imResize(src: NDArray, w: Int, h: Int, interp: Option[Int] = None, out: Option[NDArray] = None): NDArray

    

    Resize image with OpenCV.

    Resize image with OpenCV.

    src

    source image in NDArray

    w

    Width of resized image.

    h

    Height of resized image.

    interp

    Interpolation method (default=cv2.INTER_LINEAR).

    out

    NDArray to store the output

    returns

    org.apache.mxnet.NDArray

18. final def isInstanceOf[T0]: Boolean

    

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19. final def ne(arg0: AnyRef): Boolean

    

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20. final def notify(): Unit

    

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21. final def notifyAll(): Unit

    

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22. final def synchronized[T0](arg0: ⇒ T0): T0

    

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23. def toImage(src: NDArray): BufferedImage

    

    Convert a NDArray image to a real image The time cost will increase if the image resolution is big

    Convert a NDArray image to a real image The time cost will increase if the image resolution is big

    src

    Source image file in RGB

    returns

    Buffered Image

24. def toString(): String

    

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25. final def wait(): Unit

    

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26. final def wait(arg0: Long, arg1: Int): Unit

    

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27. final def wait(arg0: Long): Unit

    

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