mirror of https://bitbucket.org/ausocean/av.git
95 lines
2.5 KiB
Go
95 lines
2.5 KiB
Go
/*
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DESCRIPTION
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Testing functions for the turbidity sensor using images from
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previous experiment.
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AUTHORS
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Russell Stanley <russell@ausocean.org>
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LICENSE
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Copyright (C) 2021-2022 the Australian Ocean Lab (AusOcean)
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It is free software: you can redistribute it and/or modify them
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under the terms of the GNU General Public License as published by the
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Free Software Foundation, either version 3 of the License, or (at your
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option) any later version.
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It is distributed in the hope that it will be useful, but WITHOUT
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ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
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FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
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for more details.
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You should have received a copy of the GNU General Public License
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in gpl.txt. If not, see http://www.gnu.org/licenses.
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*/
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package turbidity
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import (
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"fmt"
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"testing"
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"gocv.io/x/gocv"
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)
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const (
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nImages = 13 // Number of images to test. (Max 13)
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nSamples = 10 // Number of samples for each image. (Max 10)
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increment = 2.5 // Increment of the turbidity level
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)
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func TestImages(t *testing.T) {
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const (
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k1, k2 = 8, 8
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filterSize = 3
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scale, alpha = 1.0, 1.0
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)
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// Load template and standard image.
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template := gocv.IMRead("images/template.jpg", gocv.IMReadGrayScale)
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standard := gocv.IMRead("images/default.jpg", gocv.IMReadGrayScale)
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imgs := make([][]gocv.Mat, nImages)
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// Load test images.
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for i := range imgs {
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imgs[i] = make([]gocv.Mat, nSamples)
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for j := range imgs[i] {
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imgs[i][j] = gocv.IMRead(fmt.Sprintf("images/t-%v/000%v.jpg", i, j), gocv.IMReadGrayScale)
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}
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}
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// Create turbidity sensor.
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ts, err := NewTurbiditySensor(template, standard, k1, k2, filterSize, scale, alpha)
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if err != nil {
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t.Fatal("could not create turbidity sensor: %w", err)
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}
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// Create results.
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results, err := NewResults(nImages)
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if err != nil {
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t.Fatal("could not create results: %w", err)
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}
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// Score each image by calculating the average score from camera burst.
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for i := range imgs {
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// Evaluate camera burst.
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sample_result, err := ts.Evaluate(imgs[i])
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if err != nil {
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t.Fatalf("evaluation Failed: %w", err)
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}
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// Add the average result from camera burst.
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results.Update(average(sample_result.Sharpness), average(sample_result.Contrast), float64(i)*increment, i)
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}
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// Plot the final results.
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err = plotResults(results.Turbidity, normalize(results.Sharpness), normalize(results.Contrast))
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if err != nil {
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t.Fatalf("plotting Failed: %w", err)
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}
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t.Logf("Sharpness: %v", results.Sharpness)
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t.Logf("Contrast: %v", results.Contrast)
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}
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