photoprism/internal/face/detector_test.go
2021-10-01 00:05:49 +02:00

133 lines
2.9 KiB
Go

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