View Source Evision.DNN.TextDetectionModelDB (Evision v0.1.7)
Link to this section Summary
Functions
Raising version of dnn_TextDetectionModel_DB/1
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Raising version of dnn_TextDetectionModel_DB/2
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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.
Raising version of getBinaryThreshold/1
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Python prototype (for reference):
Raising version of getMaxCandidates/1
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Python prototype (for reference):
Raising version of getPolygonThreshold/1
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Python prototype (for reference):
Raising version of getUnclipRatio/1
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Python prototype (for reference):
Raising version of setBinaryThreshold/2
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Positional Arguments
- binaryThreshold:
float
Python prototype (for reference):
Raising version of setMaxCandidates/2
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Positional Arguments
- maxCandidates:
int
Python prototype (for reference):
Raising version of setPolygonThreshold/2
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Positional Arguments
- polygonThreshold:
float
Python prototype (for reference):
Raising version of setUnclipRatio/2
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Positional Arguments
- unclipRatio:
double
Python prototype (for reference):
Link to this section Functions
Raising version of dnn_TextDetectionModel_DB/1
.
Raising version of dnn_TextDetectionModel_DB/2
.
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>
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>
Raising version of getBinaryThreshold/1
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Python prototype (for reference):
getBinaryThreshold() -> retval
Raising version of getMaxCandidates/1
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Python prototype (for reference):
getMaxCandidates() -> retval
Raising version of getPolygonThreshold/1
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Python prototype (for reference):
getPolygonThreshold() -> retval
Raising version of getUnclipRatio/1
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Python prototype (for reference):
getUnclipRatio() -> retval
Raising version of setBinaryThreshold/2
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Positional Arguments
- binaryThreshold:
float
Python prototype (for reference):
setBinaryThreshold(binaryThreshold) -> retval
Raising version of setMaxCandidates/2
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Positional Arguments
- maxCandidates:
int
Python prototype (for reference):
setMaxCandidates(maxCandidates) -> retval
Raising version of setPolygonThreshold/2
.
Positional Arguments
- polygonThreshold:
float
Python prototype (for reference):
setPolygonThreshold(polygonThreshold) -> retval
Raising version of setUnclipRatio/2
.
Positional Arguments
- unclipRatio:
double
Python prototype (for reference):
setUnclipRatio(unclipRatio) -> retval