Evision
v0.1.34

View Source Evision.Quality.QualityGMSD (Evision v0.1.34)

Summary

Types

t()

Type that represents an Quality.QualityGMSD struct.

Functions

clear(self)

Implements Algorithm::clear()

compute(self, cmp)

Compute GMSD

compute(self, ref, cmp)

static method for computing quality

compute(self, ref, cmp, opts)

static method for computing quality

create(ref)

Create an object which calculates image quality

empty(self)

Implements Algorithm::empty()

Types

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t()

View Source 
@type t() :: %Evision.Quality.QualityGMSD{ref: reference()}

Type that represents an Quality.QualityGMSD struct.

  • ref. reference()

    The underlying erlang resource variable.

Functions

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clear(self)

View Source 
@spec clear(t()) :: t() | {:error, String.t()}

Implements Algorithm::clear()

Positional Arguments
  • self: Evision.Quality.QualityGMSD.t()

Python prototype (for reference only):

clear() -> None
Link to this function

compute(self, cmp)

View Source 
@spec compute(t(), Evision.Mat.maybe_mat_in()) ::
  {number()}
  | {number(), number()}
  | {number(), number(), number()}
  | {number(), number(), number(), number()}
  | {:error, String.t()}

Compute GMSD

Positional Arguments

  • self: Evision.Quality.QualityGMSD.t()

  • cmp: Evision.Mat.t().

    comparison image

Return
  • retval: cv::Scalar

@returns cv::Scalar with per-channel quality value. Values range from 0 (worst) to 1 (best)

Python prototype (for reference only):

compute(cmp) -> retval
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compute(self, ref, cmp)

View Source 
@spec compute(t(), Evision.Mat.maybe_mat_in(), Evision.Mat.maybe_mat_in()) ::
  {{number()}
   | {number(), number()}
   | {number(), number(), number()}
   | {number(), number(), number(), number()}, Evision.Mat.t()}
  | {:error, String.t()}

static method for computing quality

Positional Arguments

  • self: Evision.Quality.QualityGMSD.t()

  • ref: Evision.Mat.t().

    reference image

  • cmp: Evision.Mat.t().

    comparison image

Return

  • retval: cv::Scalar

  • qualityMap: Evision.Mat.t().

    output quality map, or cv::noArray()

@returns cv::Scalar with per-channel quality value. Values range from 0 (worst) to 1 (best)

Python prototype (for reference only):

compute(ref, cmp[, qualityMap]) -> retval, qualityMap
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compute(self, ref, cmp, opts)

View Source 
@spec compute(
  t(),
  Evision.Mat.maybe_mat_in(),
  Evision.Mat.maybe_mat_in(),
  [{atom(), term()}, ...] | nil
) ::
  {{number()}
   | {number(), number()}
   | {number(), number(), number()}
   | {number(), number(), number(), number()}, Evision.Mat.t()}
  | {:error, String.t()}

static method for computing quality

Positional Arguments

  • self: Evision.Quality.QualityGMSD.t()

  • ref: Evision.Mat.t().

    reference image

  • cmp: Evision.Mat.t().

    comparison image

Return

  • retval: cv::Scalar

  • qualityMap: Evision.Mat.t().

    output quality map, or cv::noArray()

@returns cv::Scalar with per-channel quality value. Values range from 0 (worst) to 1 (best)

Python prototype (for reference only):

compute(ref, cmp[, qualityMap]) -> retval, qualityMap
Link to this function

create(ref)

View Source 
@spec create(Evision.Mat.maybe_mat_in()) :: t() | {:error, String.t()}

Create an object which calculates image quality

Positional Arguments

  • ref: Evision.Mat.t().

    reference image

Return
  • retval: QualityGMSD

Python prototype (for reference only):

create(ref) -> retval
Link to this function

empty(self)

View Source 
@spec empty(t()) :: boolean() | {:error, String.t()}

Implements Algorithm::empty()

Positional Arguments
  • self: Evision.Quality.QualityGMSD.t()
Return
  • retval: bool

Python prototype (for reference only):

empty() -> retval