OpenCVMat

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

   

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7. def equals(arg0: Any): Boolean

   

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8. def finalize(): Unit

   

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9. def fromFloats(floats: Array[Float], height: Int, width: Int, channel: Int = 3): OpenCVMat

   

   Convert float array(pixels) to OpenCV mat

   Convert float array(pixels) to OpenCV mat

   floats

   float array that represents pixels

   height

   image height

   width

   image width

   returns

   image in mat

10. def fromImageBytes(fileContent: Array[Byte]): OpenCVMat

    

    convert image file in bytes to opencv mat

    convert image file in bytes to opencv mat

    fileContent

    bytes from an image file

    returns

    opencv mat

11. def fromPixelsBytes(pixels: Array[Byte], height: Int, width: Int, channel: Int = 3): OpenCVMat

    

    convert pixel bytes to OpenCVMat

    convert pixel bytes to OpenCVMat

    pixels

    pixels in byte array

    height

    image height

    width

    image width

12. def fromTensor(tensor: Tensor[Float], format: String = "HWC"): OpenCVMat

    

    convert float tensor to OpenCVMat, Note that if you want to convert the tensor to BGR image, the element should be in range [0, 255]

    convert float tensor to OpenCVMat, Note that if you want to convert the tensor to BGR image, the element should be in range [0, 255]

    tensor

    tensor that represent an image

    format

    "HWC" or "CHW", "HWC" means (height, width, channel) order, "CHW" means (channel, height, width) order

    returns

    OpenCVMat

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

    

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14. def hashCode(): Int

    

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15. def imencode(mat: OpenCVMat, encoding: String = "png"): Array[Byte]

    

    convert opencv mat to image bytes

    convert opencv mat to image bytes

    mat

    opencv mat

    encoding

    encoding type

    returns

    bytes that represent an image

16. final def isInstanceOf[T0]: Boolean

    

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

    

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18. final def notify(): Unit

    

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19. final def notifyAll(): Unit

    

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20. def read(path: String): OpenCVMat

    

    read local image path as opencv mat

    read local image path as opencv mat

    path

    local image path

    returns

    mat

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

    

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22. def toBytePixels(input: Mat, buffer: Array[Byte] = null): (Array[Byte], Int, Int, Int)

    

    convert mat to byte array that represents pixels

    convert mat to byte array that represents pixels

    input

    opencv mat

23. def toFloatPixels(input: Mat, buffer: Array[Float] = null): (Array[Float], Int, Int, Int)

    

    convert mat to float array that represents pixels

    convert mat to float array that represents pixels

    input

    mat

    buffer

    float array

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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