go-opencv/gocv/gocv.go
2015-02-16 16:48:18 +08:00

54 lines
1.2 KiB
Go

package gocv
// #cgo CXXFLAGS: -std=c++11
// #cgo darwin pkg-config: opencv
import "C"
import "github.com/gonum/matrix/mat64"
func NewGcvPoint3f(x, y, z float64) GcvPoint3f_ {
return NewGcvPoint3f_(float32(x), float32(y), float32(z))
}
func NewGcvPoint3d(x, y, z float64) GcvPoint3d_ {
return NewGcvPoint3d_(float64(x), float64(y), float64(z))
}
func NewGcvPoint2f(x, y float64) GcvPoint2f_ {
return NewGcvPoint2f_(float32(x), float32(y))
}
func NewGcvPoint2d(x, y float64) GcvPoint2d_ {
return NewGcvPoint2d_(float64(x), float64(y))
}
func NewGcvSize2f(x, y float64) GcvSize2f_ {
return NewGcvSize2f_(float32(x), float32(y))
}
func NewGcvSize2d(x, y float64) GcvSize2d_ {
return NewGcvSize2d_(float64(x), float64(y))
}
// Convert Mat, which defined by SWIG, to mat64.Dense.
// The reason is the latter is much easier to handle
// in Go.
// GcvMat is assumed to be 2-dimensional matrix.
func MatToMat64(mat Mat) *mat64.Dense {
col := mat.GetCols()
row := mat.GetRows()
data := []float64{}
for i := 0; i < row; i++ {
for j := 0; j < col; j++ {
if fltPtr, ok := mat.GcvAtd(i, j).(*float64); ok {
data = append(data, *fltPtr)
} else {
panic("Non *float64 passed to MatToMat64")
}
}
}
return mat64.NewDense(row, col, data)
}