Files
photoprism/internal/ai/tensorflow/image_test.go
2025-11-22 11:47:17 +01:00

59 lines
1.5 KiB
Go

package tensorflow
import (
"os"
"path/filepath"
"testing"
"github.com/stretchr/testify/assert"
"github.com/wamuir/graft/tensorflow"
)
var defaultImageInput = &PhotoInput{
Height: 224,
Width: 224,
Shape: DefaultPhotoInputShape(),
}
var examplesPath = filepath.Join(assetsPath, "examples")
func TestConvertValue(t *testing.T) {
result := convertValue(uint32(98765432), &Interval{Start: -1, End: 1})
assert.Equal(t, float32(3024.8982), result)
}
func TestConvertStdMean(t *testing.T) {
mean := float32(1.0 / 127.5)
stdDev := float32(-1.0)
result := convertValue(uint32(98765432), &Interval{Mean: &mean, StdDev: &stdDev})
assert.Equal(t, float32(3024.8982), result)
}
func TestImageFromBytes(t *testing.T) {
t.Run("CatJpeg", func(t *testing.T) {
imageBuffer, err := os.ReadFile(filepath.Join(examplesPath, "cat_brown.jpg")) //nolint:gosec // reading bundled test fixture
if err != nil {
t.Fatal(err)
}
result, err := ImageFromBytes(imageBuffer, defaultImageInput, nil)
if err != nil {
t.Fatal(err)
}
assert.Equal(t, tensorflow.DataType(0x1), result.DataType())
assert.Equal(t, int64(1), result.Shape()[0])
assert.Equal(t, int64(224), result.Shape()[2])
})
t.Run("Document", func(t *testing.T) {
imageBuffer, err := os.ReadFile(filepath.Join(examplesPath, "Random.docx")) //nolint:gosec // reading bundled test fixture
assert.Nil(t, err)
result, err := ImageFromBytes(imageBuffer, defaultImageInput, nil)
assert.Empty(t, result)
assert.EqualError(t, err, "image: unknown format")
})
}