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filter: changed embedded struct to a field within struct

This commit is contained in:
Scott 2020-02-05 16:36:09 +10:30
parent 86ec511697
commit 6bad1706ac
8 changed files with 112 additions and 108 deletions
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20
filter/basic.go
View File

@ -40,7 +40,7 @@ type pixel struct{ r, g, b uint32 }
// Basic is a filter that provides basic motion detection via a difference
// method.
type Basic struct {
debugFile
debugging debugFile
dst io.WriteCloser
img image.Image
bg [][]pixel
@ -53,21 +53,17 @@ type Basic struct {
// NewBasic returns a pointer to a new Basic filter struct.
func NewBasic(dst io.WriteCloser, t, p int) *Basic {
bf := &Basic{
return &Basic{
dst: dst,
thresh: t,
pix: p,
debugging: newDebugFile(),
}
err := bf.newDebugFile()
if err != nil {
panic(fmt.Sprintf("could not create debug file: %w", err))
}
return bf
}
// Implements io.Closer.
func (bf *Basic) Close() error {
return bf.closeDebugFile()
return bf.debugging.close()
}
// Implements io.Writer.
@ -87,7 +83,7 @@ func (bf *Basic) Write(f []byte) (int, error) {
bf.w = bounds.Max.X
bf.h = bounds.Max.Y
bf.resetDebugFileFrame(bf.w, bf.h)
bf.debugging.resetFrame(bf.w, bf.h)
bf.bg = make([][]pixel, bf.h)
for j, _ := range bf.bg {
@ -119,7 +115,7 @@ func (bf *Basic) Write(f []byte) (int, error) {
}
// Will save a video of where motion is detected in motion.mjpeg (in the current folder).
err = bf.saveFrame(bf.motion, bf.pix)
err = bf.debugging.saveFrame(bf.motion, bf.pix)
if err != nil {
return len(f), fmt.Errorf("image can't be encoded for debug video: %w", err)
}
@ -148,9 +144,9 @@ func (bf *Basic) process(j int, wg *sync.WaitGroup) {
if diff > bf.thresh {
bf.motion++
bf.drawToDebugFile(i, j, 0xff)
bf.debugging.draw(i, j, 0xff)
} else {
bf.drawToDebugFile(i, j, 0x00)
bf.debugging.draw(i, j, 0x00)
}
// Update backgound image.

28
filter/debug.go
View File

@ -47,16 +47,22 @@ type debugFile struct {
}
// newDebugFile creates a file for saving debugging frames to.
func (d *debugFile) newDebugFile() error {
func newDebugFile() debugFile {
const debugfile = "motion.mjpeg"
d.bwImg = image.NewRGBA(image.Rect(0, 0, 0, 0))
var err error
d.file, err = os.Create(debugfile)
return err
file, err := os.Create(debugfile)
if err != nil {
panic(fmt.Sprintf("could not create debug file: %w", err))
}
return debugFile{
bwImg: image.NewRGBA(image.Rect(0, 0, 0, 0)),
file: file,
}
}
// closeDebugFile closes files used for debugging purposes.
func (d *debugFile) closeDebugFile() error {
// close closes files used for debugging purposes.
func (d *debugFile) close() error {
err := d.file.Close()
if err != nil {
return fmt.Errorf("file cannot be closed: %w", err)
@ -64,8 +70,8 @@ func (d *debugFile) closeDebugFile() error {
return nil
}
// drawToDebugFile draws debugging information to a frame.
func (d *debugFile) drawToDebugFile(i, j int, val uint8) {
// draw draws debugging information to a frame.
func (d *debugFile) draw(i, j int, val uint8) {
d.bwImg.SetRGBA(i, j, color.RGBA{val, val, val, 0xff})
}
@ -90,7 +96,7 @@ func (d *debugFile) saveFrame(motion, pix int) error {
return jpeg.Encode(d.file, d.bwImg, nil)
}
// resetDebugFileFrame makes an image of given dimensions.
func (d *debugFile) resetDebugFileFrame(w, h int) {
// resetFrame makes an image of given dimensions.
func (d *debugFile) resetFrame(w, h int) {
d.bwImg = image.NewRGBA(image.Rect(0, 0, w, h))
}

17
filter/debug_nocircleci.go
View File

@ -39,20 +39,25 @@ type debugWindows struct {
windows []*gocv.Window
}
// closeWindows frees resources used by gocv.
func (d *debugWindows) closeWindows() {
// close frees resources used by gocv.
func (d *debugWindows) close() {
for _, window := range d.windows {
window.Close()
}
}
// newWindows creates debugging windows for the motion filter.
func (d *debugWindows) newWindows(name string) {
d.windows = []*gocv.Window{gocv.NewWindow(name + ": Bounding boxes"), gocv.NewWindow(name + ": Motion")}
func newWindows(name string) debugWindows {
return debugWindows{
windows: []*gocv.Window{
gocv.NewWindow(name + ": Bounding boxes"),
gocv.NewWindow(name + ": Motion"),
},
}
}
// showDebug displays debug information for the motion filters.
func (d *debugWindows) showDebug(img, imgDelta gocv.Mat, motion bool, contours ...[][]image.Point) {
// show displays debug information for the motion filters.
func (d *debugWindows) show(img, imgDelta gocv.Mat, motion bool, contours ...[][]image.Point) {
if len(contours) > 0 {
for _, c := range contours[0] {
rect := gocv.BoundingRect(c)

11
filter/difference.go
View File

@ -39,7 +39,7 @@ import (
// the absolute difference for each pixel between two frames, then finds the mean. If
// the mean is above a given threshold, then it is considered motion.
type Difference struct {
debugWindows
debugging debugWindows
dst io.WriteCloser
thresh float64
prev gocv.Mat
@ -47,13 +47,12 @@ type Difference struct {
// NewDifference returns a pointer to a new Difference struct.
func NewDifference(dst io.WriteCloser, threshold float64) *Difference {
d := &Difference{
return &Difference{
dst: dst,
thresh: threshold,
prev: gocv.NewMat(),
debugging: newWindows("DIFF"),
}
d.newWindows("DIFF")
return d
}
// Implements io.Closer.
@ -61,7 +60,7 @@ func NewDifference(dst io.WriteCloser, threshold float64) *Difference {
// it using c-go.
func (d *Difference) Close() error {
d.prev.Close()
d.closeWindows()
d.debugging.close()
return nil
}
@ -97,7 +96,7 @@ func (d *Difference) Write(f []byte) (int, error) {
d.prev = img.Clone()
// Draw debug information.
d.showDebug(img, imgDelta, mean > d.thresh)
d.debugging.show(img, imgDelta, mean > d.thresh)
// Don't write to destination if there is no motion.
if mean < d.thresh {

11
filter/knn.go
View File

@ -39,7 +39,7 @@ import (
// KNN is a filter that provides basic motion detection. KNN is short for
// K-Nearest Neighbours method.
type KNN struct {
debugWindows
debugging debugWindows
dst io.WriteCloser // Destination to which motion containing frames go.
area float64 // The minimum area that a contour can be found in.
bs *gocv.BackgroundSubtractorKNN // Uses the KNN algorithm to find the difference between the current and background frame.
@ -54,7 +54,7 @@ type KNN struct {
func NewKNN(dst io.WriteCloser, area, threshold float64, history, kernelSize int, hf int, scaleFactor int) *KNN {
bs := gocv.NewBackgroundSubtractorKNNWithParams(history, threshold, false)
k := gocv.GetStructuringElement(gocv.MorphRect, image.Pt(kernelSize, kernelSize))
m := &KNN{
return &KNN{
dst: dst,
area: area,
bs: &bs,
@ -62,9 +62,8 @@ func NewKNN(dst io.WriteCloser, area, threshold float64, history, kernelSize int
hold: make([][]byte, hf-1),
hf: hf,
scale: 1 / float64(scaleFactor),
debugging: newWindows("KNN"),
}
m.newWindows("KNN")
return m
}
// Implements io.Closer.
@ -73,7 +72,7 @@ func NewKNN(dst io.WriteCloser, area, threshold float64, history, kernelSize int
func (m *KNN) Close() error {
m.bs.Close()
m.knl.Close()
m.closeWindows()
m.debugging.close()
return nil
}
@ -124,7 +123,7 @@ func (m *KNN) Write(f []byte) (int, error) {
}
// Draw debug information.
m.showDebug(img, imgDelta, len(contours) > 0, contours)
m.debugging.show(img, imgDelta, len(contours) > 0, contours)
// Don't write to destination if there is no motion.
if len(contours) == 0 {

11
filter/mog.go
View File

@ -39,7 +39,7 @@ import (
// MOG is a filter that provides basic motion detection. MoG is short for
// Mixture of Gaussians method.
type MOG struct {
debugWindows
debugging debugWindows
dst io.WriteCloser // Destination to which motion containing frames go.
area float64 // The minimum area that a contour can be found in.
bs *gocv.BackgroundSubtractorMOG2 // Uses the MOG algorithm to find the difference between the current and background frame.
@ -54,7 +54,7 @@ type MOG struct {
func NewMOG(dst io.WriteCloser, area, threshold float64, history int, hf int, scaleFactor int) *MOG {
bs := gocv.NewBackgroundSubtractorMOG2WithParams(history, threshold, false)
k := gocv.GetStructuringElement(gocv.MorphRect, image.Pt(3, 3))
m := &MOG{
return &MOG{
dst: dst,
area: area,
bs: &bs,
@ -62,9 +62,8 @@ func NewMOG(dst io.WriteCloser, area, threshold float64, history int, hf int, sc
hold: make([][]byte, hf-1),
hf: hf,
scale: 1 / float64(scaleFactor),
debugging: newWindows("MOG"),
}
m.newWindows("MOG")
return m
}
// Implements io.Closer.
@ -73,7 +72,7 @@ func NewMOG(dst io.WriteCloser, area, threshold float64, history int, hf int, sc
func (m *MOG) Close() error {
m.bs.Close()
m.knl.Close()
m.closeWindows()
m.debugging.close()
return nil
}
@ -124,7 +123,7 @@ func (m *MOG) Write(f []byte) (int, error) {
}
// Draw debug information.
m.showDebug(img, imgDelta, len(contours) > 0, contours)
m.debugging.show(img, imgDelta, len(contours) > 0, contours)
// Don't write to destination if there is no motion.
if len(contours) == 0 {

16
filter/release.go
View File

@ -2,7 +2,7 @@
/*
DESCRIPTION
Displays debug information for the motion filters.
Doesn't display debug information for the motion filters.
AUTHORS
Scott Barnard <scott@ausocean.org>
@ -30,16 +30,16 @@ package filter
type debugFile struct{}
// newDebugFile creates a file for saving debugging frames to.
func (d *debugFile) newDebugFile() error { return nil }
func newDebugFile() debugFile { return debugFile{} }
// closeDebugFile closes files used for debugging purposes.
func (d *debugFile) closeDebugFile() error { return nil }
// close closes files used for debugging purposes.
func (d *debugFile) close() error { return nil }
// drawToDebugFile draws debugging information to a frame.
func (d *debugFile) drawToDebugFile(i, j int, val uint8) {}
// draw draws debugging information to a frame.
func (d *debugFile) draw(i, j int, val uint8) {}
// saveFrame writes a frame showing motion to a file.
func (d *debugFile) saveFrame(motion, pix int) error { return nil }
// resetDebugFileFrame makes an image of given dimensions.
func (d *debugFile) resetDebugFileFrame(w, h int) {}
// resetFrame makes an image of given dimensions.
func (d *debugFile) resetFrame(w, h int) {}

12
filter/release_nocircleci.go
View File

@ -3,7 +3,7 @@
/*
DESCRIPTION
Displays debug information for the motion filters.
Doesn't display debug information for the motion filters.
AUTHORS
Scott Barnard <scott@ausocean.org>
@ -36,11 +36,11 @@ import (
// debugWindows is used for displaying debug information for the motion filters.
type debugWindows struct{}
// closeWindows frees resources used by gocv.
func (d *debugWindows) closeWindows() {}
// close frees resources used by gocv.
func (d *debugWindows) close() {}
// newWindows creates debugging windows for the motion filter.
func (d *debugWindows) newWindows(name string) {}
func newWindows(name string) debugWindows { return debugWindows{} }
// showDebug displays debug information for the motion filters.
func (d *debugWindows) showDebug(img, imgDelta gocv.Mat, motion bool, contours ...[][]image.Point) {}
// show displays debug information for the motion filters.
func (d *debugWindows) show(img, imgDelta gocv.Mat, motion bool, contours ...[][]image.Point) {}