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Use image from examples to prevent use of initialize testdata in tensorflow test to make test faster

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This commit is contained in:
Theresa Gresch 2019-07-04 09:50:39 +02:00
parent 516c9a892e
commit 4b44373253
1 changed files with 36 additions and 46 deletions
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82
internal/photoprism/tensorflow_test.go
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@ -11,11 +11,9 @@ import (
func TestTensorFlow_LabelsFromFile(t *testing.T) {
conf := config.TestConfig()
conf.InitializeTestData(t)
tensorFlow := NewTensorFlow(conf)
result, err := tensorFlow.LabelsFromFile(conf.ImportPath() + "/iphone/IMG_6788.JPG")
result, err := tensorFlow.LabelsFromFile(conf.ExamplesPath() + "/chameleon_lime.jpg")
assert.Nil(t, err)
@ -26,15 +24,13 @@ func TestTensorFlow_LabelsFromFile(t *testing.T) {
assert.NotNil(t, result)
assert.IsType(t, Labels{}, result)
assert.Equal(t, 2, len(result))
assert.Equal(t, 1, len(result))
t.Log(result)
assert.Equal(t, "tabby cat", result[0].Name)
assert.Equal(t, "tiger cat", result[1].Name)
assert.Equal(t, "chameleon", result[0].Name)
assert.Equal(t, 32, result[0].Uncertainty)
assert.Equal(t, 86, result[1].Uncertainty)
assert.Equal(t, 7, result[0].Uncertainty)
}
func TestTensorFlow_Labels(t *testing.T) {
@ -44,11 +40,37 @@ func TestTensorFlow_Labels(t *testing.T) {
conf := config.TestConfig()
conf.InitializeTestData(t)
tensorFlow := NewTensorFlow(conf)
if imageBuffer, err := ioutil.ReadFile(conf.ExamplesPath() + "/chameleon_lime.jpg"); err != nil {
t.Error(err)
} else {
result, err := tensorFlow.Labels(imageBuffer)
t.Log(result)
assert.NotNil(t, result)
assert.Nil(t, err)
assert.IsType(t, Labels{}, result)
assert.Equal(t, 1, len(result))
assert.Equal(t, "chameleon", result[0].Name)
assert.Equal(t, 100-93, result[0].Uncertainty)
}
}
func TestTensorFlow_Labels_Dog(t *testing.T) {
if testing.Short() {
t.Skip("skipping test in short mode.")
}
conf := config.TestConfig()
tensorFlow := NewTensorFlow(conf)
if imageBuffer, err := ioutil.ReadFile(conf.ImportPath() + "/iphone/IMG_6788.JPG"); err != nil {
if imageBuffer, err := ioutil.ReadFile(conf.ExamplesPath() + "/dog_orange.jpg"); err != nil {
t.Error(err)
} else {
result, err := tensorFlow.Labels(imageBuffer)
@ -61,42 +83,10 @@ func TestTensorFlow_Labels(t *testing.T) {
assert.IsType(t, Labels{}, result)
assert.Equal(t, 2, len(result))
assert.Equal(t, "tabby cat", result[0].Name)
assert.Equal(t, "tiger cat", result[1].Name)
assert.Equal(t, "chihuahua dog", result[0].Name)
assert.Equal(t, "pembroke dog", result[1].Name)
assert.Equal(t, 100-68, result[0].Uncertainty)
assert.Equal(t, 100-14, result[1].Uncertainty)
}
}
func TestTensorFlow_Labels_Dog(t *testing.T) {
if testing.Short() {
t.Skip("skipping test in short mode.")
}
conf := config.TestConfig()
conf.InitializeTestData(t)
tensorFlow := NewTensorFlow(conf)
if imageBuffer, err := ioutil.ReadFile(conf.ImportPath() + "/dog.jpg"); err != nil {
t.Error(err)
} else {
result, err := tensorFlow.Labels(imageBuffer)
t.Log(result)
assert.NotNil(t, result)
assert.Nil(t, err)
assert.IsType(t, Labels{}, result)
assert.Equal(t, 3, len(result))
assert.Equal(t, "beagle dog", result[0].Name)
assert.Equal(t, "basset dog", result[1].Name)
assert.Equal(t, 91, result[0].Uncertainty)
assert.Equal(t, 92, result[1].Uncertainty)
assert.Equal(t, 34, result[0].Uncertainty)
assert.Equal(t, 91, result[1].Uncertainty)
}
}