View Source Evision.SparseOpticalFlow (Evision v0.1.10)
Link to this section Summary
Types
Type that represents an Evision.SparseOpticalFlow
struct.
Link to this section Types
@type t() :: %Evision.SparseOpticalFlow{ref: reference()}
Type that represents an Evision.SparseOpticalFlow
struct.
ref.
reference()
The underlying erlang resource variable.
Link to this section Functions
@spec calc( t(), Evision.Mat.maybe_mat_in(), Evision.Mat.maybe_mat_in(), Evision.Mat.maybe_mat_in(), Evision.Mat.maybe_mat_in() ) :: {Evision.Mat.t(), Evision.Mat.t(), Evision.Mat.t()} | {:error, String.t()}
Calculates a sparse optical flow.
Positional Arguments
prevImg:
Evision.Mat
.First input image.
nextImg:
Evision.Mat
.Second input image of the same size and the same type as prevImg.
prevPts:
Evision.Mat
.Vector of 2D points for which the flow needs to be found.
Return
nextPts:
Evision.Mat
.Output vector of 2D points containing the calculated new positions of input features in the second image.
status:
Evision.Mat
.Output status vector. Each element of the vector is set to 1 if the flow for the corresponding features has been found. Otherwise, it is set to 0.
err:
Evision.Mat
.Optional output vector that contains error response for each point (inverse confidence).
Python prototype (for reference):
calc(prevImg, nextImg, prevPts, nextPts[, status[, err]]) -> nextPts, status, err
@spec calc( t(), Evision.Mat.maybe_mat_in(), Evision.Mat.maybe_mat_in(), Evision.Mat.maybe_mat_in(), Evision.Mat.maybe_mat_in(), [{atom(), term()}, ...] | nil ) :: {Evision.Mat.t(), Evision.Mat.t(), Evision.Mat.t()} | {:error, String.t()}
Calculates a sparse optical flow.
Positional Arguments
prevImg:
Evision.Mat
.First input image.
nextImg:
Evision.Mat
.Second input image of the same size and the same type as prevImg.
prevPts:
Evision.Mat
.Vector of 2D points for which the flow needs to be found.
Return
nextPts:
Evision.Mat
.Output vector of 2D points containing the calculated new positions of input features in the second image.
status:
Evision.Mat
.Output status vector. Each element of the vector is set to 1 if the flow for the corresponding features has been found. Otherwise, it is set to 0.
err:
Evision.Mat
.Optional output vector that contains error response for each point (inverse confidence).
Python prototype (for reference):
calc(prevImg, nextImg, prevPts, nextPts[, status[, err]]) -> nextPts, status, err