View Source Evision.DNN.TextDetectionModelDB (Evision v0.1.9)

Link to this section Summary

Functions

Create text detection model from network represented in one of the supported formats. An order of @p model and @p config arguments does not matter.

Create text detection model from network represented in one of the supported formats. An order of @p model and @p config arguments does not matter.

Python prototype (for reference):

Python prototype (for reference):

Python prototype (for reference):

Python prototype (for reference):

Positional Arguments
  • binaryThreshold: float

Python prototype (for reference):

Positional Arguments
  • maxCandidates: int

Python prototype (for reference):

Positional Arguments
  • polygonThreshold: float

Python prototype (for reference):

Positional Arguments
  • unclipRatio: double

Python prototype (for reference):

Link to this section Functions

Link to this function

dnn_TextDetectionModel_DB!(model)

View Source

Raising version of dnn_TextDetectionModel_DB/1.

Link to this function

dnn_TextDetectionModel_DB!(model, opts)

View Source

Raising version of dnn_TextDetectionModel_DB/2.

Link to this function

dnn_TextDetectionModel_DB(model)

View Source

Create text detection model from network represented in one of the supported formats. An order of @p model and @p config arguments does not matter.

Positional Arguments
  • model: string.

    Binary file contains trained weights.

Keyword Arguments
  • config: string.

    Text file contains network configuration.

Python prototype (for reference):

TextDetectionModel_DB(model[, config]) -> <dnn_TextDetectionModel_DB object>
Link to this function

dnn_TextDetectionModel_DB(model, opts)

View Source

Create text detection model from network represented in one of the supported formats. An order of @p model and @p config arguments does not matter.

Positional Arguments
  • model: string.

    Binary file contains trained weights.

Keyword Arguments
  • config: string.

    Text file contains network configuration.

Python prototype (for reference):

TextDetectionModel_DB(model[, config]) -> <dnn_TextDetectionModel_DB object>
Link to this function

getBinaryThreshold!(self)

View Source

Raising version of getBinaryThreshold/1.

Link to this function

getBinaryThreshold(self)

View Source

Python prototype (for reference):

getBinaryThreshold() -> retval

Raising version of getMaxCandidates/1.

Python prototype (for reference):

getMaxCandidates() -> retval
Link to this function

getPolygonThreshold!(self)

View Source

Raising version of getPolygonThreshold/1.

Link to this function

getPolygonThreshold(self)

View Source

Python prototype (for reference):

getPolygonThreshold() -> retval

Raising version of getUnclipRatio/1.

Python prototype (for reference):

getUnclipRatio() -> retval
Link to this function

setBinaryThreshold!(self, binaryThreshold)

View Source

Raising version of setBinaryThreshold/2.

Link to this function

setBinaryThreshold(self, binaryThreshold)

View Source
Positional Arguments
  • binaryThreshold: float

Python prototype (for reference):

setBinaryThreshold(binaryThreshold) -> retval
Link to this function

setMaxCandidates!(self, maxCandidates)

View Source

Raising version of setMaxCandidates/2.

Link to this function

setMaxCandidates(self, maxCandidates)

View Source
Positional Arguments
  • maxCandidates: int

Python prototype (for reference):

setMaxCandidates(maxCandidates) -> retval
Link to this function

setPolygonThreshold!(self, polygonThreshold)

View Source

Raising version of setPolygonThreshold/2.

Link to this function

setPolygonThreshold(self, polygonThreshold)

View Source
Positional Arguments
  • polygonThreshold: float

Python prototype (for reference):

setPolygonThreshold(polygonThreshold) -> retval
Link to this function

setUnclipRatio!(self, unclipRatio)

View Source

Raising version of setUnclipRatio/2.

Link to this function

setUnclipRatio(self, unclipRatio)

View Source
Positional Arguments
  • unclipRatio: double

Python prototype (for reference):

setUnclipRatio(unclipRatio) -> retval