mirror of https://bitbucket.org/ausocean/av.git
Created constants for the MOG filter
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@ -32,7 +32,7 @@ import (
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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, kernelSize int, debug bool) *NoOp {
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func NewMOGFilter(dst io.WriteCloser, area, threshold float64, history int, debug bool) *NoOp {
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return &NoOp{dst: dst}
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}
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@ -48,9 +48,9 @@ type MOGFilter struct {
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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, kernelSize int, debug bool) *MOGFilter {
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func NewMOGFilter(dst io.WriteCloser, area, threshold float64, history int, debug bool) *MOGFilter {
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bs := gocv.NewBackgroundSubtractorMOG2WithParams(history, threshold, false)
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k := gocv.GetStructuringElement(gocv.MorphRect, image.Pt(kernelSize, kernelSize))
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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("Debug: Bounding boxes"), gocv.NewWindow("Debug: Motion")}
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@ -76,13 +76,18 @@ const (
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rtmpConnectionTimeout = 10
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)
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// KNN filter properties
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// Motion filter parameters
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const (
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knnMinArea = 25.0
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knnThreshold = 300
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knnHistory = 300
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knnKernel = 9
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knnShowWindows = true
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minArea = 25.0
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threshold = 20.0
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history = 500
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showWindows = true
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minFPS = 1.0
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)
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const pkg = "revid: "
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@ -341,11 +346,12 @@ func (r *Revid) setupPipeline(mtsEnc func(dst io.WriteCloser, rate float64) (io.
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case config.FilterNoOp:
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r.filter = filter.NewNoOp(r.encoders)
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case config.FilterMOG:
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r.filter = filter.NewMOGFilter(r.encoders, 25, 20, 500, 3, true)
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r.filter = filter.NewMOGFilter(r.encoders, minArea, threshold, history, showWindows)
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case config.FilterVariableFPS:
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r.filter = filter.NewVariableFPSFilter(r.encoders, 1.0, filter.NewMOGFilter(r.encoders, 25, 20, 500, 3, true))
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r.filter = filter.NewVariableFPSFilter(r.encoders, minFPS, filter.NewMOGFilter(r.encoders, minArea, threshold, history, showWindows))
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case config.FilterKNN:
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r.filter = filter.NewKNNFilter(r.encoders, knnMinArea, knnThreshold, knnHistory, knnKernel, knnShowWindows)
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default:
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panic("Undefined Filter")
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}
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