134 lines
2.9 KiB
Go
134 lines
2.9 KiB
Go
package face
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import (
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"os"
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"path/filepath"
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"testing"
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"github.com/dustin/go-humanize/english"
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"github.com/photoprism/photoprism/pkg/fastwalk"
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"github.com/stretchr/testify/assert"
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)
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func TestDetect(t *testing.T) {
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expected := map[string]int{
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"1.jpg": 1,
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"2.jpg": 1,
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"3.jpg": 1,
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"4.jpg": 1,
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"5.jpg": 1,
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"6.jpg": 1,
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"7.jpg": 0,
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"8.jpg": 0,
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"9.jpg": 0,
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"10.jpg": 0,
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"11.jpg": 0,
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"12.jpg": 1,
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"13.jpg": 0,
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"14.jpg": 0,
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"15.jpg": 0,
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"16.jpg": 1,
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"17.jpg": 1,
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"18.jpg": 2,
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"19.jpg": 0,
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}
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if err := fastwalk.Walk("testdata", func(fileName string, info os.FileMode) error {
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if info.IsDir() || filepath.Base(filepath.Dir(fileName)) != "testdata" {
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return nil
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}
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t.Run(fileName, func(t *testing.T) {
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baseName := filepath.Base(fileName)
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faces, err := Detect(fileName, true, 20)
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if err != nil {
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t.Fatal(err)
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}
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t.Logf("found %s in '%s'", english.Plural(len(faces), "face", "faces"), baseName)
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if len(faces) > 0 {
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// t.Logf("results: %#v", faces)
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for i, f := range faces {
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t.Logf("marker[%d]: %#v %#v", i, f.CropArea(), f.Area)
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t.Logf("landmarks[%d]: %s", i, f.RelativeLandmarksJSON())
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}
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}
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if i, ok := expected[baseName]; ok {
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assert.Equal(t, i, faces.Count())
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if faces.Count() == 0 {
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assert.Equal(t, 100, faces.Uncertainty())
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} else {
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assert.Truef(t, faces.Uncertainty() >= 0 && faces.Uncertainty() <= 50, "uncertainty should be between 0 and 50")
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}
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t.Logf("uncertainty: %d", faces.Uncertainty())
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} else {
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t.Logf("unknown test result for %s", baseName)
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}
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})
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return nil
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}); err != nil {
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t.Fatal(err)
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}
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}
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func TestDetectOverlap(t *testing.T) {
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expected := map[string]int{
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"1.jpg": 2,
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"2.jpg": 2,
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"3.jpg": 2,
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"4.jpg": 1,
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}
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if err := fastwalk.Walk("testdata/overlap", func(fileName string, info os.FileMode) error {
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if info.IsDir() || filepath.Base(filepath.Dir(fileName)) != "overlap" {
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return nil
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}
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t.Run(fileName, func(t *testing.T) {
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baseName := filepath.Base(fileName)
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faces, err := Detect(fileName, true, 20)
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if err != nil {
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t.Fatal(err)
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}
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t.Logf("found %s in '%s'", english.Plural(len(faces), "face", "faces"), baseName)
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if len(faces) > 0 {
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// t.Logf("results: %#v", faces)
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for i, f := range faces {
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t.Logf("marker[%d]: %#v %#v", i, f.CropArea(), f.Area)
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t.Logf("landmarks[%d]: %s", i, f.RelativeLandmarksJSON())
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}
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}
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if i, ok := expected[baseName]; ok {
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assert.Equal(t, i, faces.Count())
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if faces.Count() == 0 {
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assert.Equal(t, 100, faces.Uncertainty())
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} else {
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assert.Truef(t, faces.Uncertainty() >= 0 && faces.Uncertainty() <= 50, "uncertainty should be between 0 and 50")
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}
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t.Logf("uncertainty: %d", faces.Uncertainty())
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} else {
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t.Logf("unknown test result for %s", baseName)
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}
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})
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return nil
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}); err != nil {
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t.Fatal(err)
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}
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}
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