mirror of https://bitbucket.org/ausocean/av.git
Merged in turbidity-probe (pull request #474)
cmd/rv: turbidity probe implementation Approved-by: Saxon Milton
This commit is contained in:
commit
ee6fc3ca44
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@ -69,7 +69,6 @@ import (
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"bitbucket.org/ausocean/av/revid/config"
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"bitbucket.org/ausocean/iot/pi/netlogger"
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"bitbucket.org/ausocean/iot/pi/netsender"
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"bitbucket.org/ausocean/iot/pi/sds"
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"bitbucket.org/ausocean/utils/logger"
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)
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@ -146,10 +145,14 @@ func main() {
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rv *revid.Revid
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p *turbidityProbe
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)
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p, err := NewTurbidityProbe(*log, 60*time.Second)
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if err != nil {
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log.Log(logger.Fatal, "could not create new turbidity probe", "error", err.Error())
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}
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log.Log(logger.Debug, "initialising netsender client")
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ns, err := netsender.New(log, nil, readPin(p, rv), nil, createVarMap())
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ns, err := netsender.New(log, nil, readPin(p, rv, log), nil, createVarMap())
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if err != nil {
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log.Log(logger.Fatal, pkg+"could not initialise netsender client: "+err.Error())
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}
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@ -288,7 +291,7 @@ func sleep(ns *netsender.Sender, l *logger.Logger) {
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// readPin provides a callback function of consistent signature for use by
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// netsender to retrieve software defined pin values e.g. revid bitrate.
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func readPin(p *turbidityProbe, rv *revid.Revid) func(pin *netsender.Pin) error {
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func readPin(p *turbidityProbe, rv *revid.Revid, l *logger.Logger) func(pin *netsender.Pin) error {
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return func(pin *netsender.Pin) error {
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switch {
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case pin.Name == bitratePin:
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@ -296,16 +299,16 @@ func readPin(p *turbidityProbe, rv *revid.Revid) func(pin *netsender.Pin) error
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if rv != nil {
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pin.Value = rv.Bitrate()
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}
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case pin.Name[0] == 'X':
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return sds.ReadSystem(pin)
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case pin.Name == sharpnessPin:
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pin.Value = -1
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if p != nil {
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l.Debug("setting sharpness value", "sharpness", p.sharpness*1000)
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pin.Value = int(p.sharpness * 1000)
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}
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case pin.Name == contrastPin:
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pin.Value = -1
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if p != nil {
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l.Debug("setting contrast pin", "contrast", p.contrast)
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pin.Value = int(p.contrast * 100)
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}
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default:
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160
cmd/rv/probe.go
160
cmd/rv/probe.go
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@ -30,35 +30,45 @@ LICENSE
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package main
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import (
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"bytes"
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"errors"
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"fmt"
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"os"
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"time"
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"gocv.io/x/gocv"
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"gonum.org/v1/gonum/stat"
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"bitbucket.org/ausocean/av/codec/h264"
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"bitbucket.org/ausocean/av/turbidity"
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"bitbucket.org/ausocean/utils/logger"
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)
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// Misc constants.
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const (
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maxImages = 1 // Max number of images read when evaluating turbidity.
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bufferLimit = 20000 // 20KB
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trimTolerance = 200 // Number of times trim can be called where no keyframe is found.
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)
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// Turbidity sensor constants.
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const (
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k1, k2 = 8, 8 // Block size, must be divisible by the size template with no remainder.
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k1, k2 = 4, 4 // Block size, must be divisible by the size template with no remainder.
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filterSize = 3 // Sobel filter size.
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scale = 1.0 // Amount of scale applied to sobel filter values.
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alpha = 1.0 // Paramater for contrast equation.
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)
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// Misc constants.
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const (
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maxImages = 10 // Max number of images read when evaluating turbidity.
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)
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// turbidityProbe will hold the latest video data and calculate the sharpness and contrast scores.
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// These scores will be sent to netreceiver based on the given delay.
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type turbidityProbe struct {
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sharpness, contrast float64
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delay time.Duration
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ticker time.Ticker
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ts *turbidity.TurbiditySensor
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log logger.Logger
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buffer *bytes.Buffer
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trimCounter int
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}
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// NewTurbidityProbe returns a new turbidity probe.
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@ -67,13 +77,14 @@ func NewTurbidityProbe(log logger.Logger, delay time.Duration) (*turbidityProbe,
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tp.log = log
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tp.delay = delay
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tp.ticker = *time.NewTicker(delay)
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tp.buffer = bytes.NewBuffer(*new([]byte))
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// Create the turbidity sensor.
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standard := gocv.IMRead("../../turbidity/images/template.jpg", gocv.IMReadGrayScale)
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standard := gocv.IMRead("../../turbidity/images/default.jpg", gocv.IMReadGrayScale)
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template := gocv.IMRead("../../turbidity/images/template.jpg", gocv.IMReadGrayScale)
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ts, err := turbidity.NewTurbiditySensor(template, standard, k1, k2, filterSize, scale, alpha)
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ts, err := turbidity.NewTurbiditySensor(template, standard, k1, k2, filterSize, scale, alpha, log)
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if err != nil {
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log.Error("failed create turbidity sensor", "error", err.Error())
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return nil, fmt.Errorf("failed to create turbidity sensor: %w", err)
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}
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tp.ts = ts
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return tp, nil
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@ -82,43 +93,46 @@ func NewTurbidityProbe(log logger.Logger, delay time.Duration) (*turbidityProbe,
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// Write, reads input h264 frames in the form of a byte stream and writes the the sharpness and contrast
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// scores of a video to the the turbidity probe.
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func (tp *turbidityProbe) Write(p []byte) (int, error) {
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select {
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case <-tp.ticker.C:
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var imgs []gocv.Mat
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img := gocv.NewMat()
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// Write byte array to a temp file.
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file, err := os.CreateTemp("temp", "video*.h264")
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if tp.buffer.Len() == 0 {
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// The first entry in the buffer must be a keyframe to speed up decoding.
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video, err := h264.Trim(p)
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if err != nil {
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tp.log.Error("failed to create temp file", "error", err.Error())
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return 0, err
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}
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defer os.Remove(file.Name())
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n, err := file.Write(p)
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if err != nil {
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tp.log.Error("failed to write to temporary file", "error", err.Error())
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return n, err
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tp.trimCounter++
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if tp.trimCounter >= trimTolerance {
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return 0, fmt.Errorf("could not trim h264 within tolerance: %w", err)
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}
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return len(p), nil
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} else {
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tp.log.Log(logger.Debug, "trim successful", "keyframe error counter", tp.trimCounter)
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tp.trimCounter = 0
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}
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// Read the file and store each frame.
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vc, err := gocv.VideoCaptureFile(file.Name())
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n, err := tp.buffer.Write(video)
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if err != nil {
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tp.log.Error("failed to open video file", "error", err.Error())
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return len(p), err
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tp.buffer.Reset()
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return 0, fmt.Errorf("could not write trimmed video to buffer: %w", err)
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}
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for vc.Read(&img) && len(imgs) < maxImages {
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imgs = append(imgs, img.Clone())
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}
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// Process video data to get saturation and contrast scores.
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res, err := tp.ts.Evaluate(imgs)
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tp.log.Log(logger.Debug, "video trimmed, write keyframe complete", "size(bytes)", n)
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} else if tp.buffer.Len() < bufferLimit {
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// Buffer size is limited to speed up decoding.
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_, err := tp.buffer.Write(p)
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if err != nil {
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tp.log.Error("evaluate failed", "errror", err.Error())
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return len(p), err
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tp.buffer.Reset()
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return 0, fmt.Errorf("could not write to buffer: %w", err)
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}
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} else {
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// Buffer is large enough to begin turbidity calculation.
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select {
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case <-tp.ticker.C:
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tp.log.Log(logger.Debug, "beginning turbidity calculation")
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startTime := time.Now()
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err := tp.turbidityCalculation()
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if err != nil {
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return 0, fmt.Errorf("could not calculate turbidity: %w", err)
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}
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tp.log.Log(logger.Debug, "finished turbidity calculation", "total duration (sec)", time.Since(startTime).Seconds())
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default:
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}
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tp.contrast = stat.Mean(res.Contrast, nil)
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tp.sharpness = stat.Mean(res.Sharpness, nil)
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default:
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}
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return len(p), nil
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}
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@ -126,3 +140,71 @@ func (tp *turbidityProbe) Write(p []byte) (int, error) {
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func (tp *turbidityProbe) Close() error {
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return nil
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}
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func (tp *turbidityProbe) turbidityCalculation() error {
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var imgs []gocv.Mat
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img := gocv.NewMat()
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// Write byte array to a temp file.
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file, err := os.CreateTemp("temp", "video*.h264")
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if err != nil {
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return fmt.Errorf("failed to create temp file: %w", err)
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}
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tp.log.Log(logger.Debug, "writing to file", "buffer size(bytes)", tp.buffer.Len())
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_, err = file.Write(tp.buffer.Bytes())
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if err != nil {
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return fmt.Errorf("failed to write to temporary file: %w", err)
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}
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tp.log.Log(logger.Debug, "write to file success", "buffer size(bytes)", tp.buffer.Len())
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tp.buffer.Reset()
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// Open the video file.
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startTime := time.Now()
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vc, err := gocv.VideoCaptureFile(file.Name())
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if err != nil {
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return fmt.Errorf("failed to open video file: %w", err)
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}
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tp.log.Log(logger.Debug, "video capture open", "total duration (sec)", time.Since(startTime).Seconds())
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// Store each frame until maximum amount is reached.
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startTime = time.Now()
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for vc.Read(&img) && len(imgs) < maxImages {
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imgs = append(imgs, img.Clone())
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}
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if len(imgs) <= 0 {
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return errors.New("no frames found")
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}
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tp.log.Log(logger.Debug, "read time", "total duration (sec)", time.Since(startTime).Seconds())
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// Process video data to get saturation and contrast scores.
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res, err := tp.ts.Evaluate(imgs)
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if err != nil {
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err_ := cleanUp(file.Name(), vc)
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if err_ != nil {
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return fmt.Errorf("could not clean up: %v, after evaluation error: %w", err_, err)
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}
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return fmt.Errorf("evaluation error: %w", err)
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}
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tp.contrast = stat.Mean(res.Contrast, nil)
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tp.sharpness = stat.Mean(res.Sharpness, nil)
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err = cleanUp(file.Name(), vc)
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if err != nil {
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return fmt.Errorf("could not clean up: %w", err)
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}
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return nil
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}
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func cleanUp(file string, vc *gocv.VideoCapture) error {
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err := os.Remove(file)
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if err != nil {
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return fmt.Errorf("could not remove temp file: %w", err)
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}
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err = vc.Close()
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if err != nil {
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return fmt.Errorf("could not close video capture device: %w", err)
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}
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return nil
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}
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|
|
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@ -78,3 +78,33 @@ func (s *frameScanner) readByte() (b byte, ok bool) {
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s.off++
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return b, true
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}
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// Trim will trim down a given byte stream of video data so that a key frame appears first.
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func Trim(n []byte) ([]byte, error) {
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sc := frameScanner{buf: n}
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for {
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b, ok := sc.readByte()
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if !ok {
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return nil, errNotEnoughBytes
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}
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for i := 1; b == 0x00 && i != 4; i++ {
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b, ok = sc.readByte()
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if !ok {
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return nil, errNotEnoughBytes
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}
|
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if b != 0x01 || (i != 2 && i != 3) {
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continue
|
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}
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|
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b, ok = sc.readByte()
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if !ok {
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return nil, errNotEnoughBytes
|
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}
|
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nalType := int(b & 0x1f)
|
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if nalType == 7 {
|
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sc.off = sc.off - 4
|
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return sc.buf[sc.off:], nil
|
||||
}
|
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}
|
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}
|
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}
|
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|
|
Binary file not shown.
Before Width: | Height: | Size: 4.3 MiB After Width: | Height: | Size: 16 KiB |
Binary file not shown.
Before Width: | Height: | Size: 22 KiB After Width: | Height: | Size: 2.2 KiB |
|
@ -35,7 +35,9 @@ import (
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|||
"fmt"
|
||||
"image"
|
||||
"math"
|
||||
"time"
|
||||
|
||||
"bitbucket.org/ausocean/utils/logger"
|
||||
"gocv.io/x/gocv"
|
||||
)
|
||||
|
||||
|
@ -46,10 +48,11 @@ type TurbiditySensor struct {
|
|||
standard, standardCorners gocv.Mat
|
||||
k1, k2, sobelFilterSize int
|
||||
scale, alpha float64
|
||||
log logger.Logger
|
||||
}
|
||||
|
||||
// NewTurbiditySensor returns a new TurbiditySensor.
|
||||
func NewTurbiditySensor(template, standard gocv.Mat, k1, k2, sobelFilterSize int, scale, alpha float64) (*TurbiditySensor, error) {
|
||||
func NewTurbiditySensor(template, standard gocv.Mat, k1, k2, sobelFilterSize int, scale, alpha float64, log logger.Logger) (*TurbiditySensor, error) {
|
||||
ts := new(TurbiditySensor)
|
||||
templateCorners := gocv.NewMat()
|
||||
standardCorners := gocv.NewMat()
|
||||
|
@ -76,6 +79,7 @@ func NewTurbiditySensor(template, standard gocv.Mat, k1, k2, sobelFilterSize int
|
|||
|
||||
ts.k1, ts.k2, ts.sobelFilterSize = k1, k2, sobelFilterSize
|
||||
ts.alpha, ts.scale = alpha, scale
|
||||
ts.log = log
|
||||
return ts, nil
|
||||
}
|
||||
|
||||
|
@ -87,16 +91,24 @@ func (ts TurbiditySensor) Evaluate(imgs []gocv.Mat) (*Results, error) {
|
|||
}
|
||||
|
||||
for i := range imgs {
|
||||
timer := time.Now()
|
||||
marker, err := ts.transform(imgs[i])
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("could not transform image: %d: %w", i, err)
|
||||
}
|
||||
edge := ts.sobel(marker)
|
||||
|
||||
ts.log.Log(logger.Debug, "transform successful", "transform duration (sec)", time.Since(timer).Seconds())
|
||||
|
||||
timer = time.Now()
|
||||
edge := ts.sobel(marker)
|
||||
ts.log.Log(logger.Debug, "sobel filter successful", "sobel duration", time.Since(timer).Seconds())
|
||||
|
||||
timer = time.Now()
|
||||
sharpScore, contScore, err := ts.EvaluateImage(marker, edge)
|
||||
if err != nil {
|
||||
return result, err
|
||||
}
|
||||
ts.log.Log(logger.Debug, "sharpness and contrast evaluation successful", "evaluation duration", time.Since(timer).Seconds())
|
||||
result.Update(sharpScore, contScore, float64(i), i)
|
||||
}
|
||||
return result, nil
|
||||
|
@ -180,7 +192,7 @@ func (ts TurbiditySensor) evaluateBlockAMEE(img gocv.Mat, xStart, yStart, xEnd,
|
|||
func (ts TurbiditySensor) transform(img gocv.Mat) (gocv.Mat, error) {
|
||||
out := gocv.NewMat()
|
||||
mask := gocv.NewMat()
|
||||
imgCorners := gocv.NewMat()
|
||||
imgCorners := ts.standardCorners
|
||||
const (
|
||||
ransacThreshold = 3.0 // Maximum allowed reprojection error to treat a point pair as an inlier.
|
||||
maxIter = 2000 // The maximum number of RANSAC iterations.
|
||||
|
@ -191,14 +203,12 @@ func (ts TurbiditySensor) transform(img gocv.Mat) (gocv.Mat, error) {
|
|||
return out, errors.New("image is empty, cannot transform")
|
||||
}
|
||||
// Check image for corners, if non can be found corners will be set to default value.
|
||||
if !gocv.FindChessboardCorners(img, image.Pt(3, 3), &imgCorners, gocv.CalibCBFastCheck) {
|
||||
imgCorners = ts.standardCorners
|
||||
}
|
||||
// if !gocv.FindChessboardCorners(img, image.Pt(3, 3), &imgCorners, gocv.CalibCBFastCheck) {}
|
||||
|
||||
// Find and apply transformation.
|
||||
H := gocv.FindHomography(imgCorners, &ts.templateCorners, gocv.HomograpyMethodRANSAC, ransacThreshold, &mask, maxIter, confidence)
|
||||
gocv.WarpPerspective(img, &out, H, image.Pt(ts.template.Rows(), ts.template.Cols()))
|
||||
|
||||
gocv.CvtColor(out, &out, gocv.ColorRGBToGray)
|
||||
return out, nil
|
||||
}
|
||||
|
||||
|
|
|
@ -30,12 +30,15 @@ package turbidity
|
|||
|
||||
import (
|
||||
"fmt"
|
||||
"io"
|
||||
"testing"
|
||||
|
||||
"bitbucket.org/ausocean/utils/logger"
|
||||
"gocv.io/x/gocv"
|
||||
"gonum.org/v1/gonum/stat"
|
||||
"gonum.org/v1/plot"
|
||||
"gonum.org/v1/plot/plotutil"
|
||||
"gopkg.in/natefinch/lumberjack.v2"
|
||||
)
|
||||
|
||||
const (
|
||||
|
@ -44,15 +47,35 @@ const (
|
|||
increment = 2.5 // Increment of the turbidity level.
|
||||
)
|
||||
|
||||
// Logging configuration.
|
||||
const (
|
||||
logPath = "/var/log/netsender/netsender.log"
|
||||
logMaxSize = 500 // MB
|
||||
logMaxBackup = 10
|
||||
logMaxAge = 28 // days
|
||||
logVerbosity = logger.Info
|
||||
logSuppress = true
|
||||
)
|
||||
|
||||
// TestImages will read a library of test images and calculate the sharpness and contrast scores.
|
||||
// A plot of the results will be generated and stored in the plots directory.
|
||||
func TestImages(t *testing.T) {
|
||||
|
||||
const (
|
||||
k1, k2 = 8, 8
|
||||
filterSize = 3
|
||||
scale, alpha = 1.0, 1.0
|
||||
)
|
||||
|
||||
// Create lumberjack logger.
|
||||
fileLog := &lumberjack.Logger{
|
||||
Filename: logPath,
|
||||
MaxSize: logMaxSize,
|
||||
MaxBackups: logMaxBackup,
|
||||
MaxAge: logMaxAge,
|
||||
}
|
||||
log := *logger.New(logVerbosity, io.MultiWriter(fileLog), logSuppress)
|
||||
|
||||
template := gocv.IMRead("images/template.jpg", gocv.IMReadGrayScale)
|
||||
standard := gocv.IMRead("images/default.jpg", gocv.IMReadGrayScale)
|
||||
|
||||
|
@ -66,7 +89,7 @@ func TestImages(t *testing.T) {
|
|||
}
|
||||
}
|
||||
|
||||
ts, err := NewTurbiditySensor(template, standard, k1, k2, filterSize, scale, alpha)
|
||||
ts, err := NewTurbiditySensor(template, standard, k1, k2, filterSize, scale, alpha, log)
|
||||
if err != nil {
|
||||
t.Fatalf("could not create turbidity sensor: %v", err)
|
||||
}
|
||||
|
@ -88,7 +111,7 @@ func TestImages(t *testing.T) {
|
|||
results.Update(stat.Mean(sample_result.Sharpness, nil), stat.Mean(sample_result.Contrast, nil), float64(i)*increment, i)
|
||||
}
|
||||
|
||||
err = plotResults(results.Turbidity, normalize(results.Sharpness), normalize(results.Contrast))
|
||||
err = plotResults(results.Turbidity, results.Sharpness, results.Contrast)
|
||||
if err != nil {
|
||||
t.Fatalf("plotting Failed: %v", err)
|
||||
}
|
||||
|
|
Loading…
Reference in New Issue