Mithilfe der Gesichtserkennung können Sie in einem Bild mehrere Gesichter und die damit verknüpften wichtigsten Gesichtsmerkmale wie den Gesichtsausdruck oder Kopfbedeckungen (wearing headwear) erkennen.
Die Gesichtserkennung zur Identifizierung von Personen wird nicht unterstützt.
Überzeugen Sie sich selbst
Wenn Sie mit Google Cloud noch nicht vertraut sind, erstellen Sie ein Konto, um sich von der Leistungsfähigkeit der Cloud Vision API in der Praxis zu überzeugen. Neukunden erhalten außerdem ein Guthaben von 300 $, um Arbeitslasten auszuführen, zu testen und bereitzustellen.
Cloud Vision API kostenlos testenAnfragen zur Gesichtserkennung
Google Cloud -Projekt und Authentifizierung einrichten
Wenn Sie noch kein Google Cloud Projekt erstellt haben, tun Sie dies jetzt. Maximieren Sie diesen Abschnitt, um die Anleitung einzublenden.
- Sign in to your Google Cloud account. If you're new to Google Cloud, create an account to evaluate how our products perform in real-world scenarios. New customers also get $300 in free credits to run, test, and deploy workloads.
-
In the Google Cloud console, on the project selector page, select or create a Google Cloud project.
Roles required to select or create a project
- Select a project: Selecting a project doesn't require a specific IAM role—you can select any project that you've been granted a role on.
-
Create a project: To create a project, you need the Project Creator
(
roles/resourcemanager.projectCreator), which contains theresourcemanager.projects.createpermission. Learn how to grant roles.
-
Verify that billing is enabled for your Google Cloud project.
-
Enable the Vision API.
Roles required to enable APIs
To enable APIs, you need the Service Usage Admin IAM role (
roles/serviceusage.serviceUsageAdmin), which contains theserviceusage.services.enablepermission. Learn how to grant roles. -
Install the Google Cloud CLI.
-
Wenn Sie einen externen Identitätsanbieter (IdP) verwenden, müssen Sie sich zuerst mit Ihrer föderierten Identität in der gcloud CLI anmelden.
-
Führen Sie folgenden Befehl aus, um die gcloud CLI zu initialisieren:
gcloud init -
In the Google Cloud console, on the project selector page, select or create a Google Cloud project.
Roles required to select or create a project
- Select a project: Selecting a project doesn't require a specific IAM role—you can select any project that you've been granted a role on.
-
Create a project: To create a project, you need the Project Creator
(
roles/resourcemanager.projectCreator), which contains theresourcemanager.projects.createpermission. Learn how to grant roles.
-
Verify that billing is enabled for your Google Cloud project.
-
Enable the Vision API.
Roles required to enable APIs
To enable APIs, you need the Service Usage Admin IAM role (
roles/serviceusage.serviceUsageAdmin), which contains theserviceusage.services.enablepermission. Learn how to grant roles. -
Install the Google Cloud CLI.
-
Wenn Sie einen externen Identitätsanbieter (IdP) verwenden, müssen Sie sich zuerst mit Ihrer föderierten Identität in der gcloud CLI anmelden.
-
Führen Sie folgenden Befehl aus, um die gcloud CLI zu initialisieren:
gcloud init - BASE64_ENCODED_IMAGE: die Base64-Darstellung (ASCII-String) der Binärbilddaten. Dieser String sollte in etwa so aussehen:
/9j/4QAYRXhpZgAA...9tAVx/zDQDlGxn//2Q==
- RESULTS_INT: (optional) ein ganzzahliger Wert der Ergebnisse, die zurückgegeben werden sollen. Wenn Sie das Feld
"maxResults"und seinen Wert weglassen, gibt die API den Standardwert von 10 Ergebnissen zurück. Dieses Feld gilt nicht für die folgenden Featuretypen:TEXT_DETECTION,DOCUMENT_TEXT_DETECTIONoderCROP_HINTS. - PROJECT_ID: Ihre Google Cloud Projekt-ID
Gesichter in einem lokalen Bild erkennen
Sie können die Vision API für die Merkmalserkennung in einer lokalen Bilddatei verwenden.
Senden Sie bei REST-Anfragen den Inhalt der Bilddatei als base64-codierten String im Text Ihrer Anfrage.
Geben Sie für Anfragen mit gcloud und Clientbibliotheken den Pfad zu einem lokalen Bild in Ihrer Anfrage an.
REST
Ersetzen Sie folgende Werte in den Anfragedaten:
HTTP-Methode und URL:
POST https://vision.googleapis.com/v1/images:annotate
JSON-Text der Anfrage:
{
"requests": [
{
"image": {
"content": "BASE64_ENCODED_IMAGE"
},
"features": [
{
"maxResults": RESULTS_INT,
"type": "FACE_DETECTION"
}
]
}
]
}
Wenn Sie die Anfrage senden möchten, wählen Sie eine der folgenden Optionen aus:
curl
Speichern Sie den Anfragetext in einer Datei mit dem Namen request.json und führen Sie den folgenden Befehl aus:
curl -X POST \
-H "Authorization: Bearer $(gcloud auth print-access-token)" \
-H "x-goog-user-project: PROJECT_ID" \
-H "Content-Type: application/json; charset=utf-8" \
-d @request.json \
"https://vision.googleapis.com/v1/images:annotate"
PowerShell
Speichern Sie den Anfragetext in einer Datei mit dem Namen request.json und führen Sie den folgenden Befehl aus:
$cred = gcloud auth print-access-token
$headers = @{ "Authorization" = "Bearer $cred"; "x-goog-user-project" = "PROJECT_ID" }
Invoke-WebRequest `
-Method POST `
-Headers $headers `
-ContentType: "application/json; charset=utf-8" `
-InFile request.json `
-Uri "https://vision.googleapis.com/v1/images:annotate" | Select-Object -Expand Content
Wenn die Anfrage erfolgreich ist, gibt der Server den HTTP-Statuscode 200 OK und die Antwort im JSON-Format zurück.
Eine FACE_DETECTION-Antwort enthält Begrenzungsrahmen für alle erkannten Gesichter, erkannte markante Stellen im Gesicht (Augen, Nase, Mund usw.) und Konfidenzbeurteilungen für Gesichts- und Bildeigenschaften (Freude, Trauer, Wut, Überraschung usw.).
Antwort
{
"responses": [
{
"faceAnnotations": [
{
"boundingPoly": {
"vertices": [
{
"x": 1077,
"y": 157
},
{
"x": 2146,
"y": 157
},
{
"x": 2146,
"y": 1399
},
{
"x": 1077,
"y": 1399
}
]
},
"fdBoundingPoly": {
"vertices": [
{
"x": 1112,
"y": 407
},
{
"x": 1946,
"y": 407
},
{
"x": 1946,
"y": 1270
},
{
"x": 1112,
"y": 1270
}
]
},
"landmarks": [
{
"type": "LEFT_EYE",
"position": {
"x": 1368.748,
"y": 739.0957,
"z": 0.0024604797
}
},
{
"type": "RIGHT_EYE",
"position": {
"x": 1660.6105,
"y": 751.5844,
"z": -117.06496
}
},
{
"type": "LEFT_OF_LEFT_EYEBROW",
"position": {
"x": 1284.3208,
"y": 666.61487,
"z": 63.41506
}
},
{
"type": "RIGHT_OF_LEFT_EYEBROW",
"position": {
"x": 1418.9249,
"y": 671.49414,
"z": -83.82396
}
},
{
"type": "LEFT_OF_RIGHT_EYEBROW",
"position": {
"x": 1556.9579,
"y": 672.2199,
"z": -139.39935
}
},
{
"type": "RIGHT_OF_RIGHT_EYEBROW",
"position": {
"x": 1771.4799,
"y": 682.65845,
"z": -131.66716
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},
{
"type": "MIDPOINT_BETWEEN_EYES",
"position": {
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"z": -114.84635
}
},
{
"type": "NOSE_TIP",
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},
{
"type": "UPPER_LIP",
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}
},
{
"type": "LOWER_LIP",
"position": {
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"z": -109.24505
}
},
{
"type": "MOUTH_LEFT",
"position": {
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"y": 1066.0856,
"z": -6.8136826
}
},
{
"type": "MOUTH_RIGHT",
"position": {
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"z": -106.93649
}
},
{
"type": "MOUTH_CENTER",
"position": {
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"y": 1087.2388,
"z": -110.68126
}
},
{
"type": "NOSE_BOTTOM_RIGHT",
"position": {
"x": 1571.9475,
"y": 944.9213,
"z": -124.11806
}
},
{
"type": "NOSE_BOTTOM_LEFT",
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},
{
"type": "NOSE_BOTTOM_CENTER",
"position": {
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},
{
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},
{
"type": "LEFT_EYE_RIGHT_CORNER",
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"z": -23.540215
}
},
{
"type": "LEFT_EYE_BOTTOM_BOUNDARY",
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"z": -1.2607727
}
},
{
"type": "LEFT_EYE_LEFT_CORNER",
"position": {
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"z": 50.216393
}
},
{
"type": "RIGHT_EYE_TOP_BOUNDARY",
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"z": -134.17404
}
},
{
"type": "RIGHT_EYE_RIGHT_CORNER",
"position": {
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"y": 763.57104,
"z": -116.365845
}
},
{
"type": "RIGHT_EYE_BOTTOM_BOUNDARY",
"position": {
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"z": -120.8635
}
},
{
"type": "RIGHT_EYE_LEFT_CORNER",
"position": {
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}
},
{
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}
},
{
"type": "RIGHT_EYEBROW_UPPER_MIDPOINT",
"position": {
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"z": -153.73691
}
},
{
"type": "LEFT_EAR_TRAGION",
"position": {
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"z": 422.6642
}
},
{
"type": "RIGHT_EAR_TRAGION",
"position": {
"x": 2014.8041,
"y": 908.56537,
"z": 149.61232
}
},
{
"type": "FOREHEAD_GLABELLA",
"position": {
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"y": 669.9625,
"z": -120.59111
}
},
{
"type": "CHIN_GNATHION",
"position": {
"x": 1477.3256,
"y": 1269.3269,
"z": -67.748795
}
},
{
"type": "CHIN_LEFT_GONION",
"position": {
"x": 1336.8848,
"y": 1096.2242,
"z": 286.73004
}
},
{
"type": "CHIN_RIGHT_GONION",
"position": {
"x": 1863.2197,
"y": 1128.6213,
"z": 68.90431
}
},
{
"type": "LEFT_CHEEK_CENTER",
"position": {
"x": 1317.8549,
"y": 940.8025,
"z": 50.863163
}
},
{
"type": "RIGHT_CHEEK_CENTER",
"position": {
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"y": 964.073,
"z": -112.43947
}
}
],
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"panAngle": -22.01964,
"tiltAngle": -1.4997566,
"detectionConfidence": 0.9310801,
"landmarkingConfidence": 0.5775582,
"joyLikelihood": "VERY_LIKELY",
"sorrowLikelihood": "VERY_UNLIKELY",
"angerLikelihood": "VERY_UNLIKELY",
"surpriseLikelihood": "VERY_UNLIKELY",
"underExposedLikelihood": "VERY_UNLIKELY",
"blurredLikelihood": "VERY_UNLIKELY",
"headwearLikelihood": "POSSIBLE"
},
{
"boundingPoly": {
"vertices": [
{
"x": 144,
"y": 1273
},
{
"x": 793,
"y": 1273
},
{
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},
{
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}
]
},
"fdBoundingPoly": {
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},
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{
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},
"landmarks": [
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}
},
{
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{
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},
{
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{
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{
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{
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"panAngle": -3.096844,
"tiltAngle": 9.26052,
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"landmarkingConfidence": 0.55711126,
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"sorrowLikelihood": "VERY_UNLIKELY",
"angerLikelihood": "VERY_UNLIKELY",
"surpriseLikelihood": "VERY_UNLIKELY",
"underExposedLikelihood": "VERY_UNLIKELY",
"blurredLikelihood": "UNLIKELY",
"headwearLikelihood": "VERY_UNLIKELY"
},
{
"boundingPoly": {
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"y": 167
},
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},
{
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},
{
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},
{
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},
{
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},
{
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},
{
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}
},
{
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},
{
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}
},
{
"type": "LEFT_EYE_BOTTOM_BOUNDARY",
"position": {
"x": 933.6862,
"y": 359.50848,
"z": -1.3347243
}
},
{
"type": "LEFT_EYE_LEFT_CORNER",
"position": {
"x": 914.83966,
"y": 356.1447,
"z": -1.4299142
}
},
{
"type": "RIGHT_EYE_TOP_BOUNDARY",
"position": {
"x": 1006.59766,
"y": 319.50406,
"z": 38.31219
}
},
{
"type": "RIGHT_EYE_RIGHT_CORNER",
"position": {
"x": 1021.45886,
"y": 327.68784,
"z": 61.100002
}
},
{
"type": "RIGHT_EYE_BOTTOM_BOUNDARY",
"position": {
"x": 1009.46686,
"y": 336.0832,
"z": 43.87975
}
},
{
"type": "RIGHT_EYE_LEFT_CORNER",
"position": {
"x": 991.17535,
"y": 331.97632,
"z": 34.4881
}
},
{
"type": "LEFT_EYEBROW_UPPER_MIDPOINT",
"position": {
"x": 928.40436,
"y": 317.13898,
"z": -14.411907
}
},
{
"type": "RIGHT_EYEBROW_UPPER_MIDPOINT",
"position": {
"x": 1008.5887,
"y": 294.364,
"z": 32.917953
}
},
{
"type": "LEFT_EAR_TRAGION",
"position": {
"x": 835.18915,
"y": 395.7093,
"z": 81.31065
}
},
{
"type": "RIGHT_EAR_TRAGION",
"position": {
"x": 1024.4136,
"y": 360.64178,
"z": 182.02446
}
},
{
"type": "FOREHEAD_GLABELLA",
"position": {
"x": 975.5221,
"y": 315.06647,
"z": 0.31154716
}
},
{
"type": "CHIN_GNATHION",
"position": {
"x": 1010.74097,
"y": 503.23572,
"z": 29.966637
}
},
{
"type": "CHIN_LEFT_GONION",
"position": {
"x": 891.86237,
"y": 466.7829,
"z": 58.84553
}
},
{
"type": "CHIN_RIGHT_GONION",
"position": {
"x": 1031.9008,
"y": 428.13455,
"z": 145.42484
}
},
{
"type": "LEFT_CHEEK_CENTER",
"position": {
"x": 929.4197,
"y": 418.09122,
"z": 4.574672
}
},
{
"type": "RIGHT_CHEEK_CENTER",
"position": {
"x": 1033.7278,
"y": 390.5432,
"z": 65.6329
}
}
],
"rollAngle": -12.077273,
"panAngle": 27.194477,
"tiltAngle": -5.252778,
"detectionConfidence": 0.38126788,
"landmarkingConfidence": 0.040030442,
"joyLikelihood": "VERY_UNLIKELY",
"sorrowLikelihood": "VERY_UNLIKELY",
"angerLikelihood": "VERY_UNLIKELY",
"surpriseLikelihood": "VERY_UNLIKELY",
"underExposedLikelihood": "LIKELY",
"blurredLikelihood": "VERY_LIKELY",
"headwearLikelihood": "VERY_UNLIKELY"
}
]
}
]
}
Go
Bevor Sie dieses Beispiel ausprobieren, folgen Sie der Go-Einrichtungsanleitung in der Vision-Kurzanleitung zur Verwendung von Clientbibliotheken. Weitere Informationen finden Sie in der Go-Referenzdokumentation zur Vision API.
Richten Sie zur Authentifizierung bei Vision die Standardanmeldedaten für Anwendungen (ADC) ein. Weitere Informationen finden Sie unter ADC für eine lokale Entwicklungsumgebung einrichten.
// detectFaces gets faces from the Vision API for an image at the given file path.
func detectFaces(w io.Writer, file string) error {
ctx := context.Background()
client, err := vision.NewImageAnnotatorClient(ctx)
if err != nil {
return err
}
defer client.Close()
f, err := os.Open(file)
if err != nil {
return err
}
defer f.Close()
image, err := vision.NewImageFromReader(f)
if err != nil {
return err
}
annotations, err := client.DetectFaces(ctx, image, nil, 10)
if err != nil {
return err
}
if len(annotations) == 0 {
fmt.Fprintln(w, "No faces found.")
} else {
fmt.Fprintln(w, "Faces:")
for i, annotation := range annotations {
fmt.Fprintln(w, " Face", i)
fmt.Fprintln(w, " Anger:", annotation.AngerLikelihood)
fmt.Fprintln(w, " Joy:", annotation.JoyLikelihood)
fmt.Fprintln(w, " Surprise:", annotation.SurpriseLikelihood)
}
}
return nil
}
Java
Bevor Sie dieses Beispiel ausprobieren, folgen Sie der Einrichtungsanleitung für Java in der Vision API-Kurzanleitung zur Verwendung von Clientbibliotheken. Weitere Informationen finden Sie in der Java-Referenzdokumentation zur Vision API.
import com.google.cloud.vision.v1.AnnotateImageRequest;
import com.google.cloud.vision.v1.AnnotateImageResponse;
import