View Source Evision.Detail.BlocksCompensator (Evision v0.1.7)

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cv.detail

Positional Arguments
Return

Python prototype (for reference):

Python prototype (for reference):

##### Return

Python prototype (for reference):

Python prototype (for reference):

Python prototype (for reference):

Positional Arguments
  • size: Size

Python prototype (for reference):

Positional Arguments
  • width: int
  • height: int

Python prototype (for reference):

Positional Arguments
  • umv: [Evision.Mat]

Python prototype (for reference):

Positional Arguments
  • nr_feeds: int

Python prototype (for reference):

Positional Arguments
  • nr_iterations: int

Python prototype (for reference):

Positional Arguments
  • similarity_threshold: double

Python prototype (for reference):

Link to this section cv.detail

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apply(self, index, corner, image, mask)

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Positional Arguments
Return

Python prototype (for reference):

apply(index, corner, image, mask) -> image

Python prototype (for reference):

getBlockSize() -> retval

##### Return

  • umv: [Evision.Mat].

Python prototype (for reference):

getMatGains([, umv]) -> umv

Python prototype (for reference):

getNrFeeds() -> retval
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getNrGainsFilteringIterations(self)

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Python prototype (for reference):

getNrGainsFilteringIterations() -> retval
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getSimilarityThreshold(self)

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Python prototype (for reference):

getSimilarityThreshold() -> retval
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setBlockSize(self, size)

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Positional Arguments
  • size: Size

Python prototype (for reference):

setBlockSize(size) -> None
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setBlockSize(self, width, height)

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Positional Arguments
  • width: int
  • height: int

Python prototype (for reference):

setBlockSize(width, height) -> None
Positional Arguments
  • umv: [Evision.Mat]

Python prototype (for reference):

setMatGains(umv) -> None
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setNrFeeds(self, nr_feeds)

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Positional Arguments
  • nr_feeds: int

Python prototype (for reference):

setNrFeeds(nr_feeds) -> None
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setNrGainsFilteringIterations(self, nr_iterations)

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Positional Arguments
  • nr_iterations: int

Python prototype (for reference):

setNrGainsFilteringIterations(nr_iterations) -> None
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setSimilarityThreshold(self, similarity_threshold)

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Positional Arguments
  • similarity_threshold: double

Python prototype (for reference):

setSimilarityThreshold(similarity_threshold) -> None

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apply!(self, index, corner, image, mask)

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Raising version of apply/5.

Raising version of getBlockSize/1.

Raising version of getMatGains/1.

Raising version of getNrFeeds/1.

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getNrGainsFilteringIterations!(self)

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Raising version of getNrGainsFilteringIterations/1.

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getSimilarityThreshold!(self)

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Raising version of getSimilarityThreshold/1.

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setBlockSize!(self, size)

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Raising version of setBlockSize/2.

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setBlockSize!(self, width, height)

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Raising version of setBlockSize/3.

Raising version of setMatGains/2.

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setNrFeeds!(self, nr_feeds)

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Raising version of setNrFeeds/2.

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setNrGainsFilteringIterations!(self, nr_iterations)

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Raising version of setNrGainsFilteringIterations/2.

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setSimilarityThreshold!(self, similarity_threshold)

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Raising version of setSimilarityThreshold/2.