mirror of https://bitbucket.org/ausocean/av.git
Merged in filter-names (pull request #368)
filter: change names so that they don't have filter in them Approved-by: Scott Barnard <scott@ausocean.org> Approved-by: Trek Hopton <trek.hopton@gmail.com>
This commit is contained in:
commit
5c9ffd6c1f
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@ -31,13 +31,13 @@ import (
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"io"
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)
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// NewMOGFilter returns a pointer to a new NoOp struct for testing purposes only.
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func NewMOGFilter(dst io.WriteCloser, area, threshold float64, history int, debug bool, hf int) *NoOp {
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// NewMOG returns a pointer to a new NoOp struct for testing purposes only.
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func NewMOG(dst io.WriteCloser, area, threshold float64, history int, debug bool, hf int) *NoOp {
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return &NoOp{dst: dst}
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}
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// NewKNNFilter returns a pointer to a new NoOp struct for testing purposes only.
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func NewKNNFilter(dst io.WriteCloser, area, threshold float64, history, kernelSize int, debug bool, hf int) *NoOp {
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// NewKNN returns a pointer to a new NoOp struct for testing purposes only.
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func NewKNN(dst io.WriteCloser, area, threshold float64, history, kernelSize int, debug bool, hf int) *NoOp {
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return &NoOp{dst: dst}
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}
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@ -37,9 +37,9 @@ import (
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"gocv.io/x/gocv"
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)
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// KNNFilter is a filter that provides basic motion detection. KNN is short for
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// KNN is a filter that provides basic motion detection. KNN is short for
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// K-Nearest Neighbours method.
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type KNNFilter struct {
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type KNN struct {
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dst io.WriteCloser // Destination to which motion containing frames go.
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area float64 // The minimum area that a contour can be found in.
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bs *gocv.BackgroundSubtractorKNN // Uses the KNN algorithm to find the difference between the current and background frame.
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@ -51,21 +51,21 @@ type KNNFilter struct {
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hfCount int // Counter for the hold array.
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}
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// NewKNNFilter returns a pointer to a new KNNFilter.
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func NewKNNFilter(dst io.WriteCloser, area, threshold float64, history, kernelSize int, debug bool, hf int) *KNNFilter {
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// NewKNN returns a pointer to a new KNN filter struct.
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func NewKNN(dst io.WriteCloser, area, threshold float64, history, kernelSize int, debug bool, hf int) *KNN {
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bs := gocv.NewBackgroundSubtractorKNNWithParams(history, threshold, false)
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k := gocv.GetStructuringElement(gocv.MorphRect, image.Pt(kernelSize, kernelSize))
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var windows []*gocv.Window
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if debug {
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windows = []*gocv.Window{gocv.NewWindow("KNN: Bounding boxes"), gocv.NewWindow("KNN: Motion")}
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}
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return &KNNFilter{dst, area, &bs, k, debug, windows, make([][]byte, hf-1), hf, 0}
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return &KNN{dst, area, &bs, k, debug, windows, make([][]byte, hf-1), hf, 0}
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}
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// Implements io.Closer.
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// Close frees resources used by gocv, because it has to be done manually, due to
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// it using c-go.
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func (m *KNNFilter) Close() error {
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func (m *KNN) Close() error {
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m.bs.Close()
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m.knl.Close()
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for _, window := range m.windows {
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@ -77,7 +77,7 @@ func (m *KNNFilter) Close() error {
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// Implements io.Writer.
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// Write applies the motion filter to the video stream. Only frames with motion
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// are written to the destination encoder, frames without are discarded.
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func (m *KNNFilter) Write(f []byte) (int, error) {
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func (m *KNN) Write(f []byte) (int, error) {
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if m.hfCount < (m.hf - 1) {
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m.hold[m.hfCount] = f
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m.hfCount++
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@ -37,9 +37,9 @@ import (
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"gocv.io/x/gocv"
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)
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// MOGFilter is a filter that provides basic motion detection. MoG is short for
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// MOG is a filter that provides basic motion detection. MoG is short for
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// Mixture of Gaussians method.
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type MOGFilter struct {
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type MOG struct {
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dst io.WriteCloser // Destination to which motion containing frames go.
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area float64 // The minimum area that a contour can be found in.
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bs *gocv.BackgroundSubtractorMOG2 // Uses the MOG algorithm to find the difference between the current and background frame.
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@ -51,21 +51,21 @@ type MOGFilter struct {
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hfCount int // Counter for the hold array.
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}
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// NewMOGFilter returns a pointer to a new MOGFilter struct.
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func NewMOGFilter(dst io.WriteCloser, area, threshold float64, history int, debug bool, hf int) *MOGFilter {
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// NewMOG returns a pointer to a new MOG filter struct.
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func NewMOG(dst io.WriteCloser, area, threshold float64, history int, debug bool, hf int) *MOG {
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bs := gocv.NewBackgroundSubtractorMOG2WithParams(history, threshold, false)
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k := gocv.GetStructuringElement(gocv.MorphRect, image.Pt(3, 3))
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var windows []*gocv.Window
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if debug {
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windows = []*gocv.Window{gocv.NewWindow("MOG: Bounding boxes"), gocv.NewWindow("MOG: Motion")}
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}
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return &MOGFilter{dst, area, &bs, k, debug, windows, make([][]byte, hf-1), hf, 0}
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return &MOG{dst, area, &bs, k, debug, windows, make([][]byte, hf-1), hf, 0}
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}
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// Implements io.Closer.
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// Close frees resources used by gocv, because it has to be done manually, due to
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// it using c-go.
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func (m *MOGFilter) Close() error {
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func (m *MOG) Close() error {
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m.bs.Close()
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m.knl.Close()
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for _, window := range m.windows {
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@ -77,7 +77,7 @@ func (m *MOGFilter) Close() error {
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// Implements io.Writer.
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// Write applies the motion filter to the video stream. Only frames with motion
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// are written to the destination encoder, frames without are discarded.
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func (m *MOGFilter) Write(f []byte) (int, error) {
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func (m *MOG) Write(f []byte) (int, error) {
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if m.hfCount < (m.hf - 1) {
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m.hold[m.hfCount] = f
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m.hfCount++
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@ -30,27 +30,27 @@ import (
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"io"
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)
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// VariableFPSFilter is a filter that has a variable frame rate. When motion is
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// VariableFPS is a filter that has a variable frame rate. When motion is
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// detected, the filter sends all frames and when it is not, the filter
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// sends frames at a reduced framerate.
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type VariableFPSFilter struct {
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type VariableFPS struct {
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filter Filter
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dst io.WriteCloser
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frames uint
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count uint
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}
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// NewVariableFPSFilter returns a pointer to a new VariableFPSFilter struct.
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func NewVariableFPSFilter(dst io.WriteCloser, minFPS float64, filter Filter) *VariableFPSFilter {
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// NewVariableFPS returns a pointer to a new VariableFPS filter struct.
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func NewVariableFPS(dst io.WriteCloser, minFPS float64, filter Filter) *VariableFPS {
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frames := uint(25 / minFPS)
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return &VariableFPSFilter{filter, dst, frames, 0}
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return &VariableFPS{filter, dst, frames, 0}
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}
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// Implements io.Writer.
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// Write applies the motion filter to the video stream. Frames are sent
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// at a reduced frame rate, except when motion is detected, then all frames
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// with motion are sent.
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func (v *VariableFPSFilter) Write(f []byte) (int, error) {
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func (v *VariableFPS) Write(f []byte) (int, error) {
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v.count = (v.count + 1) % v.frames
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if v.count == 0 {
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@ -62,6 +62,6 @@ func (v *VariableFPSFilter) Write(f []byte) (int, error) {
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// Implements io.Closer.
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// Close calls the motion filter's Close method.
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func (v *VariableFPSFilter) Close() error {
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func (v *VariableFPS) Close() error {
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return v.filter.Close()
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}
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@ -341,11 +341,11 @@ func (r *Revid) setupPipeline(mtsEnc func(dst io.WriteCloser, rate float64) (io.
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case config.FilterNoOp:
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r.filters[i] = filter.NewNoOp(dst)
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case config.FilterMOG:
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r.filters[i] = filter.NewMOGFilter(dst, r.cfg.MOGMinArea, r.cfg.MOGThreshold, int(r.cfg.MOGHistory), r.cfg.ShowWindows, r.cfg.MotionInterval)
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r.filters[i] = filter.NewMOG(dst, r.cfg.MOGMinArea, r.cfg.MOGThreshold, int(r.cfg.MOGHistory), r.cfg.ShowWindows, r.cfg.MotionInterval)
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case config.FilterVariableFPS:
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r.filters[i] = filter.NewVariableFPSFilter(dst, r.cfg.MinFPS, filter.NewMOGFilter(dst, r.cfg.MOGMinArea, r.cfg.MOGThreshold, int(r.cfg.MOGHistory), r.cfg.ShowWindows, r.cfg.MotionInterval))
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r.filters[i] = filter.NewVariableFPS(dst, r.cfg.MinFPS, filter.NewMOG(dst, r.cfg.MOGMinArea, r.cfg.MOGThreshold, int(r.cfg.MOGHistory), r.cfg.ShowWindows, r.cfg.MotionInterval))
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case config.FilterKNN:
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r.filters[i] = filter.NewKNNFilter(dst, r.cfg.KNNMinArea, r.cfg.KNNThreshold, int(r.cfg.KNNHistory), int(r.cfg.KNNKernel), r.cfg.ShowWindows, r.cfg.MotionInterval)
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r.filters[i] = filter.NewKNN(dst, r.cfg.KNNMinArea, r.cfg.KNNThreshold, int(r.cfg.KNNHistory), int(r.cfg.KNNKernel), r.cfg.ShowWindows, r.cfg.MotionInterval)
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case config.FilterDifference:
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r.filters[i] = filter.NewDifference(dst, r.cfg.ShowWindows, r.cfg.DiffThreshold)
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default:
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