turbidity files tagged for (not) nocv

go.mod

@@ -1,6 +1,6 @@
 module bitbucket.org/ausocean/av
 
-go 1.17
+go 1.16
 
 require (
 	bitbucket.org/ausocean/iot v1.3.0

turbidity/main.go

@@ -0,0 +1,150 @@
+// +build !nocv
+
+package main
+
+import (
+	"fmt"
+	"log"
+	"math"
+
+	"gonum.org/v1/plot"
+	"gonum.org/v1/plot/plotter"
+	"gonum.org/v1/plot/plotutil"
+	"gonum.org/v1/plot/vg"
+
+	"gocv.io/x/gocv"
+)
+
+const (
+	nImages  = 13
+	nSamples = 10
+)
+
+func main() {
+	// Load template and standard image.
+	template := gocv.IMRead("template.jpg", gocv.IMReadGrayScale)
+	standard := gocv.IMRead("default.jpg", gocv.IMReadGrayScale)
+
+	imgs := make([][]gocv.Mat, nImages)
+
+	// Load test images.
+	for i := range imgs {
+		imgs[i] = make([]gocv.Mat, nSamples)
+		for j := range imgs[i] {
+			imgs[i][j] = gocv.IMRead(fmt.Sprintf("images/t-%v/000%v.jpg", i, j), gocv.IMReadGrayScale)
+		}
+	}
+
+	// Create turbidity sensor.
+	ts := TurbiditySensor{template: template, standard: standard, k1: 8, k2: 8, sobelFilterSize: 3, scale: 1.0, alpha: 1.0}
+
+	var finalRes Results
+	finalRes.new(nImages)
+
+	// Score each image by calculating the average score from camera burst.
+	for i := range imgs {
+		// Evaluate camera burst.
+		sample_result, err := ts.Evaluate(imgs[i])
+		if err != nil {
+			log.Fatalf("Evaluation Failed: %v", err)
+		}
+
+		// Add the average result from camera burst.
+		finalRes.update(average(sample_result.saturation), average(sample_result.contrast), float64(i)*2.5, i)
+	}
+
+	// Plot the final results.
+	err := plotResults(finalRes.turbidity, normalize(finalRes.saturation), normalize(finalRes.contrast))
+	if err != nil {
+		log.Fatalf("Plotting Failed: %v", err)
+	}
+
+	log.Printf("Saturation: %v", finalRes.saturation)
+	log.Printf("Contrast: %v", finalRes.contrast)
+}
+
+// Plotting Functions.
+
+// Normalize values in a slice between 0 and 1.
+func normalize(slice []float64) []float64 {
+
+	max := -math.MaxFloat64
+	min := math.MaxFloat64
+
+	out := make([]float64, len(slice))
+
+	if len(slice) <= 1 {
+		return slice
+	}
+
+	for i := range slice {
+		if slice[i] > max {
+			max = slice[i]
+		}
+		if slice[i] < min {
+			min = slice[i]
+		}
+	}
+
+	for i := range slice {
+		out[i] = (slice[i] - min) / (max - min)
+	}
+	return out
+}
+
+// Return the average of a slice.
+func average(slice []float64) float64 {
+
+	out := 0.0
+
+	for i := range slice {
+		out += slice[i]
+	}
+	return out / float64(len(slice))
+}
+
+func plotResults(x, saturation, contrast []float64) error {
+
+	err := plotToFile(
+		"Results",
+		"Almond Milk (ml)",
+		"Score",
+		func(p *plot.Plot) error {
+			return plotutil.AddLinePoints(p,
+				"Contrast", plotterXY(x, contrast),
+				"Saturation", plotterXY(x, saturation),
+			)
+		},
+	)
+	if err != nil {
+		return fmt.Errorf("Could not plot results: %w", err)
+	}
+	return nil
+}
+
+// plotToFile creates a plot with a specified name and x&y titles using the
+// provided draw function, and then saves to a PNG file with filename of name.
+func plotToFile(name, xTitle, yTitle string, draw func(*plot.Plot) error) error {
+	p := plot.New()
+	p.Title.Text = name
+	p.X.Label.Text = xTitle
+	p.Y.Label.Text = yTitle
+	err := draw(p)
+	if err != nil {
+		return fmt.Errorf("could not draw plot contents: %w", err)
+	}
+	if err := p.Save(15*vg.Centimeter, 15*vg.Centimeter, "plots/"+name+".png"); err != nil {
+		return fmt.Errorf("could not save plot: %w", err)
+	}
+	return nil
+}
+
+// plotterXY provides a plotter.XYs type value based on the given x and y data.
+func plotterXY(x, y []float64) plotter.XYs {
+	xy := make(plotter.XYs, len(x))
+	for i := range x {
+		xy[i].X = x[i]
+		xy[i].Y = y[i]
+	}
+	return xy
+}

turbidity/results.go

@@ -1,3 +1,5 @@
+// +build !nocv
+
 package main
 
 // struct to hold the results of the turbidity sensor.

turbidity/turbidity.go

@@ -1,3 +1,5 @@
+// +build !nocv
+
 package main
 
 import (