Merged in turbidity-probe (pull request #474)

cmd/rv: turbidity probe implementation

Approved-by: Saxon Milton
This commit is contained in:
Russell Stanley 2022-04-01 01:28:17 +00:00
commit ee6fc3ca44
7 changed files with 201 additions and 53 deletions

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@ -69,7 +69,6 @@ import (
"bitbucket.org/ausocean/av/revid/config"
"bitbucket.org/ausocean/iot/pi/netlogger"
"bitbucket.org/ausocean/iot/pi/netsender"
"bitbucket.org/ausocean/iot/pi/sds"
"bitbucket.org/ausocean/utils/logger"
)
@ -146,10 +145,14 @@ func main() {
rv *revid.Revid
p *turbidityProbe
)
p, err := NewTurbidityProbe(*log, 60*time.Second)
if err != nil {
log.Log(logger.Fatal, "could not create new turbidity probe", "error", err.Error())
}
log.Log(logger.Debug, "initialising netsender client")
ns, err := netsender.New(log, nil, readPin(p, rv), nil, createVarMap())
ns, err := netsender.New(log, nil, readPin(p, rv, log), nil, createVarMap())
if err != nil {
log.Log(logger.Fatal, pkg+"could not initialise netsender client: "+err.Error())
}
@ -288,7 +291,7 @@ func sleep(ns *netsender.Sender, l *logger.Logger) {
// readPin provides a callback function of consistent signature for use by
// netsender to retrieve software defined pin values e.g. revid bitrate.
func readPin(p *turbidityProbe, rv *revid.Revid) func(pin *netsender.Pin) error {
func readPin(p *turbidityProbe, rv *revid.Revid, l *logger.Logger) func(pin *netsender.Pin) error {
return func(pin *netsender.Pin) error {
switch {
case pin.Name == bitratePin:
@ -296,16 +299,16 @@ func readPin(p *turbidityProbe, rv *revid.Revid) func(pin *netsender.Pin) error
if rv != nil {
pin.Value = rv.Bitrate()
}
case pin.Name[0] == 'X':
return sds.ReadSystem(pin)
case pin.Name == sharpnessPin:
pin.Value = -1
if p != nil {
l.Debug("setting sharpness value", "sharpness", p.sharpness*1000)
pin.Value = int(p.sharpness * 1000)
}
case pin.Name == contrastPin:
pin.Value = -1
if p != nil {
l.Debug("setting contrast pin", "contrast", p.contrast)
pin.Value = int(p.contrast * 100)
}
default:

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@ -30,35 +30,45 @@ LICENSE
package main
import (
"bytes"
"errors"
"fmt"
"os"
"time"
"gocv.io/x/gocv"
"gonum.org/v1/gonum/stat"
"bitbucket.org/ausocean/av/codec/h264"
"bitbucket.org/ausocean/av/turbidity"
"bitbucket.org/ausocean/utils/logger"
)
// Misc constants.
const (
maxImages = 1 // Max number of images read when evaluating turbidity.
bufferLimit = 20000 // 20KB
trimTolerance = 200 // Number of times trim can be called where no keyframe is found.
)
// Turbidity sensor constants.
const (
k1, k2 = 8, 8 // Block size, must be divisible by the size template with no remainder.
k1, k2 = 4, 4 // Block size, must be divisible by the size template with no remainder.
filterSize = 3 // Sobel filter size.
scale = 1.0 // Amount of scale applied to sobel filter values.
alpha = 1.0 // Paramater for contrast equation.
)
// Misc constants.
const (
maxImages = 10 // Max number of images read when evaluating turbidity.
)
// turbidityProbe will hold the latest video data and calculate the sharpness and contrast scores.
// These scores will be sent to netreceiver based on the given delay.
type turbidityProbe struct {
sharpness, contrast float64
delay time.Duration
ticker time.Ticker
ts *turbidity.TurbiditySensor
log logger.Logger
buffer *bytes.Buffer
trimCounter int
}
// NewTurbidityProbe returns a new turbidity probe.
@ -67,13 +77,14 @@ func NewTurbidityProbe(log logger.Logger, delay time.Duration) (*turbidityProbe,
tp.log = log
tp.delay = delay
tp.ticker = *time.NewTicker(delay)
tp.buffer = bytes.NewBuffer(*new([]byte))
// Create the turbidity sensor.
standard := gocv.IMRead("../../turbidity/images/template.jpg", gocv.IMReadGrayScale)
standard := gocv.IMRead("../../turbidity/images/default.jpg", gocv.IMReadGrayScale)
template := gocv.IMRead("../../turbidity/images/template.jpg", gocv.IMReadGrayScale)
ts, err := turbidity.NewTurbiditySensor(template, standard, k1, k2, filterSize, scale, alpha)
ts, err := turbidity.NewTurbiditySensor(template, standard, k1, k2, filterSize, scale, alpha, log)
if err != nil {
log.Error("failed create turbidity sensor", "error", err.Error())
return nil, fmt.Errorf("failed to create turbidity sensor: %w", err)
}
tp.ts = ts
return tp, nil
@ -82,43 +93,46 @@ func NewTurbidityProbe(log logger.Logger, delay time.Duration) (*turbidityProbe,
// Write, reads input h264 frames in the form of a byte stream and writes the the sharpness and contrast
// scores of a video to the the turbidity probe.
func (tp *turbidityProbe) Write(p []byte) (int, error) {
select {
case <-tp.ticker.C:
var imgs []gocv.Mat
img := gocv.NewMat()
// Write byte array to a temp file.
file, err := os.CreateTemp("temp", "video*.h264")
if tp.buffer.Len() == 0 {
// The first entry in the buffer must be a keyframe to speed up decoding.
video, err := h264.Trim(p)
if err != nil {
tp.log.Error("failed to create temp file", "error", err.Error())
return 0, err
}
defer os.Remove(file.Name())
n, err := file.Write(p)
if err != nil {
tp.log.Error("failed to write to temporary file", "error", err.Error())
return n, err
tp.trimCounter++
if tp.trimCounter >= trimTolerance {
return 0, fmt.Errorf("could not trim h264 within tolerance: %w", err)
}
return len(p), nil
} else {
tp.log.Log(logger.Debug, "trim successful", "keyframe error counter", tp.trimCounter)
tp.trimCounter = 0
}
// Read the file and store each frame.
vc, err := gocv.VideoCaptureFile(file.Name())
n, err := tp.buffer.Write(video)
if err != nil {
tp.log.Error("failed to open video file", "error", err.Error())
return len(p), err
tp.buffer.Reset()
return 0, fmt.Errorf("could not write trimmed video to buffer: %w", err)
}
for vc.Read(&img) && len(imgs) < maxImages {
imgs = append(imgs, img.Clone())
}
// Process video data to get saturation and contrast scores.
res, err := tp.ts.Evaluate(imgs)
tp.log.Log(logger.Debug, "video trimmed, write keyframe complete", "size(bytes)", n)
} else if tp.buffer.Len() < bufferLimit {
// Buffer size is limited to speed up decoding.
_, err := tp.buffer.Write(p)
if err != nil {
tp.log.Error("evaluate failed", "errror", err.Error())
return len(p), err
tp.buffer.Reset()
return 0, fmt.Errorf("could not write to buffer: %w", err)
}
} else {
// Buffer is large enough to begin turbidity calculation.
select {
case <-tp.ticker.C:
tp.log.Log(logger.Debug, "beginning turbidity calculation")
startTime := time.Now()
err := tp.turbidityCalculation()
if err != nil {
return 0, fmt.Errorf("could not calculate turbidity: %w", err)
}
tp.log.Log(logger.Debug, "finished turbidity calculation", "total duration (sec)", time.Since(startTime).Seconds())
default:
}
tp.contrast = stat.Mean(res.Contrast, nil)
tp.sharpness = stat.Mean(res.Sharpness, nil)
default:
}
return len(p), nil
}
@ -126,3 +140,71 @@ func (tp *turbidityProbe) Write(p []byte) (int, error) {
func (tp *turbidityProbe) Close() error {
return nil
}
func (tp *turbidityProbe) turbidityCalculation() error {
var imgs []gocv.Mat
img := gocv.NewMat()
// Write byte array to a temp file.
file, err := os.CreateTemp("temp", "video*.h264")
if err != nil {
return fmt.Errorf("failed to create temp file: %w", err)
}
tp.log.Log(logger.Debug, "writing to file", "buffer size(bytes)", tp.buffer.Len())
_, err = file.Write(tp.buffer.Bytes())
if err != nil {
return fmt.Errorf("failed to write to temporary file: %w", err)
}
tp.log.Log(logger.Debug, "write to file success", "buffer size(bytes)", tp.buffer.Len())
tp.buffer.Reset()
// Open the video file.
startTime := time.Now()
vc, err := gocv.VideoCaptureFile(file.Name())
if err != nil {
return fmt.Errorf("failed to open video file: %w", err)
}
tp.log.Log(logger.Debug, "video capture open", "total duration (sec)", time.Since(startTime).Seconds())
// Store each frame until maximum amount is reached.
startTime = time.Now()
for vc.Read(&img) && len(imgs) < maxImages {
imgs = append(imgs, img.Clone())
}
if len(imgs) <= 0 {
return errors.New("no frames found")
}
tp.log.Log(logger.Debug, "read time", "total duration (sec)", time.Since(startTime).Seconds())
// Process video data to get saturation and contrast scores.
res, err := tp.ts.Evaluate(imgs)
if err != nil {
err_ := cleanUp(file.Name(), vc)
if err_ != nil {
return fmt.Errorf("could not clean up: %v, after evaluation error: %w", err_, err)
}
return fmt.Errorf("evaluation error: %w", err)
}
tp.contrast = stat.Mean(res.Contrast, nil)
tp.sharpness = stat.Mean(res.Sharpness, nil)
err = cleanUp(file.Name(), vc)
if err != nil {
return fmt.Errorf("could not clean up: %w", err)
}
return nil
}
func cleanUp(file string, vc *gocv.VideoCapture) error {
err := os.Remove(file)
if err != nil {
return fmt.Errorf("could not remove temp file: %w", err)
}
err = vc.Close()
if err != nil {
return fmt.Errorf("could not close video capture device: %w", err)
}
return nil
}

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@ -78,3 +78,33 @@ func (s *frameScanner) readByte() (b byte, ok bool) {
s.off++
return b, true
}
// Trim will trim down a given byte stream of video data so that a key frame appears first.
func Trim(n []byte) ([]byte, error) {
sc := frameScanner{buf: n}
for {
b, ok := sc.readByte()
if !ok {
return nil, errNotEnoughBytes
}
for i := 1; b == 0x00 && i != 4; i++ {
b, ok = sc.readByte()
if !ok {
return nil, errNotEnoughBytes
}
if b != 0x01 || (i != 2 && i != 3) {
continue
}
b, ok = sc.readByte()
if !ok {
return nil, errNotEnoughBytes
}
nalType := int(b & 0x1f)
if nalType == 7 {
sc.off = sc.off - 4
return sc.buf[sc.off:], nil
}
}
}
}

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@ -35,7 +35,9 @@ import (
"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
}

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@ -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)
}