臉部偵測可偵測圖片中的多個臉部,以及相關的重要臉部特徵,例如表情或wearing headwear。
特定個人 臉部辨識 不支援。
歡迎試用
如果您未曾使用過 Google Cloud,歡迎建立帳戶,親自體驗實際使用 Cloud Vision API 的成效。新客戶可以獲得價值 $300 美元的免費抵免額,可用於執行、測試及部署工作負載。
免費試用 Cloud Vision API臉部偵測要求
設定 Google Cloud 專案和驗證
如果您尚未建立 Google Cloud 專案,請立即建立。展開這個部分即可查看操作說明。
- 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.
-
如果您使用外部識別資訊提供者 (IdP),請先 使用聯合身分登入 gcloud CLI。
-
如要初始化 gcloud CLI,請執行下列指令:
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.
-
如果您使用外部識別資訊提供者 (IdP),請先 使用聯合身分登入 gcloud CLI。
-
如要初始化 gcloud CLI,請執行下列指令:
gcloud init - BASE64_ENCODED_IMAGE:二進位圖片資料的 Base64 表示法 (ASCII 字串)。這個字串應類似下列字串:
/9j/4QAYRXhpZgAA...9tAVx/zDQDlGxn//2Q==
- RESULTS_INT:(選填) 要傳回的結果整數值。如果省略
"maxResults"欄位及其值,API 會傳回預設值,也就是 10 個結果。這個欄位不適用於下列特徵類型:TEXT_DETECTION、DOCUMENT_TEXT_DETECTION或CROP_HINTS。 - PROJECT_ID:您的 Google Cloud 專案 ID。
- CLOUD_STORAGE_IMAGE_URI:Cloud Storage 值區中有效圖片檔案的路徑。您必須至少擁有檔案的讀取權限。
範例:
gs://cloud-samples-data/vision/face/faces.jpeg
- RESULTS_INT:(選填) 要傳回的結果整數值。如果省略
"maxResults"欄位及其值,API 會傳回預設值,也就是 10 個結果。這個欄位不適用於下列特徵類型:TEXT_DETECTION、DOCUMENT_TEXT_DETECTION或CROP_HINTS。 - PROJECT_ID:您的 Google Cloud 專案 ID。
偵測本機圖片中的臉孔
您可以使用 Vision API 對本機圖片檔執行特徵偵測。
如果是 REST 要求,請在要求主體中,以 base64 編碼字串的形式傳送圖片檔案內容。
如果是 gcloud 和用戶端程式庫要求,請在要求中指定本機圖片的路徑。
REST
使用任何要求資料之前,請先替換以下項目:
HTTP 方法和網址:
POST https://vision.googleapis.com/v1/images:annotate
JSON 要求主體:
{
"requests": [
{
"image": {
"content": "BASE64_ENCODED_IMAGE"
},
"features": [
{
"maxResults": RESULTS_INT,
"type": "FACE_DETECTION"
}
]
}
]
}
如要傳送要求,請選擇以下其中一個選項:
curl
將要求主體儲存在名為 request.json 的檔案中,然後執行下列指令:
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
將要求主體儲存在名為 request.json 的檔案中,然後執行下列指令:
$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
如果要求成功,伺服器會傳回 200 OK HTTP 狀態碼與 JSON 格式的回應。
FACE_DETECTION 回應包含偵測到的所有臉部定界框、臉部偵測到的地標 (眼睛、鼻子、嘴巴等),以及臉部和圖片屬性 (喜悅、悲傷、憤怒、驚訝等) 的可信度評分。
回應
{
"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
}
},
{
"type": "MIDPOINT_BETWEEN_EYES",
"position": {
"x": 1479.6194,
"y": 741.87305,
"z": -114.84635
}
},
{
"type": "NOSE_TIP",
"position": {
"x": 1443.3151,
"y": 917.5109,
"z": -194.49301
}
},
{
"type": "UPPER_LIP",
"position": {
"x": 1466.7897,
"y": 1025.3483,
"z": -130.1202
}
},
{
"type": "LOWER_LIP",
"position": {
"x": 1467.2588,
"y": 1147.0403,
"z": -109.24505
}
},
{
"type": "MOUTH_LEFT",
"position": {
"x": 1376.8649,
"y": 1066.0856,
"z": -6.8136826
}
},
{
"type": "MOUTH_RIGHT",
"position": {
"x": 1652,
"y": 1079.3108,
"z": -106.93649
}
},
{
"type": "MOUTH_CENTER",
"position": {
"x": 1485.5554,
"y": 1087.2388,
"z": -110.68126
}
},
{
"type": "NOSE_BOTTOM_RIGHT",
"position": {
"x": 1571.9475,
"y": 944.9213,
"z": -124.11806
}
},
{
"type": "NOSE_BOTTOM_LEFT",
"position": {
"x": 1395.2339,
"y": 938.12787,
"z": -58.072197
}
},
{
"type": "NOSE_BOTTOM_CENTER",
"position": {
"x": 1468.4205,
"y": 968.8732,
"z": -132.09975
}
},
{
"type": "LEFT_EYE_TOP_BOUNDARY",
"position": {
"x": 1357.8658,
"y": 711.2427,
"z": -14.618992
}
},
{
"type": "LEFT_EYE_RIGHT_CORNER",
"position": {
"x": 1423.6936,
"y": 750.4164,
"z": -23.540215
}
},
{
"type": "LEFT_EYE_BOTTOM_BOUNDARY",
"position": {
"x": 1360.5627,
"y": 762.87415,
"z": -1.2607727
}
},
{
"type": "LEFT_EYE_LEFT_CORNER",
"position": {
"x": 1313.72,
"y": 739.443,
"z": 50.216393
}
},
{
"type": "RIGHT_EYE_TOP_BOUNDARY",
"position": {
"x": 1661.6622,
"y": 718.6839,
"z": -134.17404
}
},
{
"type": "RIGHT_EYE_RIGHT_CORNER",
"position": {
"x": 1730.0901,
"y": 763.57104,
"z": -116.365845
}
},
{
"type": "RIGHT_EYE_BOTTOM_BOUNDARY",
"position": {
"x": 1660.8823,
"y": 777.3474,
"z": -120.8635
}
},
{
"type": "RIGHT_EYE_LEFT_CORNER",
"position": {
"x": 1590.8903,
"y": 753.5044,
"z": -91.84842
}
},
{
"type": "LEFT_EYEBROW_UPPER_MIDPOINT",
"position": {
"x": 1345.7522,
"y": 640.18243,
"z": -27.887913
}
},
{
"type": "RIGHT_EYEBROW_UPPER_MIDPOINT",
"position": {
"x": 1660.5848,
"y": 648.36145,
"z": -153.73691
}
},
{
"type": "LEFT_EAR_TRAGION",
"position": {
"x": 1274.1006,
"y": 826.2645,
"z": 422.6642
}
},
{
"type": "RIGHT_EAR_TRAGION",
"position": {
"x": 2014.8041,
"y": 908.56537,
"z": 149.61232
}
},
{
"type": "FOREHEAD_GLABELLA",
"position": {
"x": 1476.2395,
"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": {
"x": 1733.4912,
"y": 964.073,
"z": -112.43947
}
}
],
"rollAngle": 1.5912293,
"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
},
{
"x": 793,
"y": 1844
},
{
"x": 144,
"y": 1844
}
]
},
"fdBoundingPoly": {
"vertices": [
{
"x": 181,
"y": 1373
},
{
"x": 742,
"y": 1373
},
{
"x": 742,
"y": 1844
},
{
"x": 181,
"y": 1844
}
]
},
"landmarks": [
{
"type": "LEFT_EYE",
"position": {
"x": 356.13745,
"y": 1635.7034,
"z": 0.0045757294
}
},
{
"type": "RIGHT_EYE",
"position": {
"x": 557.07324,
"y": 1601.1769,
"z": -10.258446
}
},
{
"type": "LEFT_OF_LEFT_EYEBROW",
"position": {
"x": 284.70563,
"y": 1599.5238,
"z": 28.755493
}
},
{
"type": "RIGHT_OF_LEFT_EYEBROW",
"position": {
"x": 397.47183,
"y": 1574.1455,
"z": -28.716581
}
},
{
"type": "LEFT_OF_RIGHT_EYEBROW",
"position": {
"x": 484.00983,
"y": 1559.5669,
"z": -33.509003
}
},
{
"type": "RIGHT_OF_RIGHT_EYEBROW",
"position": {
"x": 607.31726,
"y": 1551.2396,
"z": 11.0225525
}
},
{
"type": "MIDPOINT_BETWEEN_EYES",
"position": {
"x": 447.86597,
"y": 1603.2458,
"z": -40.69277
}
},
{
"type": "NOSE_TIP",
"position": {
"x": 463.15356,
"y": 1705.7849,
"z": -114.36831
}
},
{
"type": "UPPER_LIP",
"position": {
"x": 475.02646,
"y": 1779.54,
"z": -85.219086
}
},
{
"type": "LOWER_LIP",
"position": {
"x": 483.2983,
"y": 1844.4594,
"z": -83.812
}
},
{
"type": "MOUTH_LEFT",
"position": {
"x": 391.11206,
"y": 1824.9432,
"z": -34.578503
}
},
{
"type": "MOUTH_RIGHT",
"position": {
"x": 559.85266,
"y": 1797.929,
"z": -44.700863
}
},
{
"type": "MOUTH_CENTER",
"position": {
"x": 478.21106,
"y": 1807.5089,
"z": -76.46759
}
},
{
"type": "NOSE_BOTTOM_RIGHT",
"position": {
"x": 522.9539,
"y": 1717.8636,
"z": -51.489075
}
},
{
"type": "NOSE_BOTTOM_LEFT",
"position": {
"x": 414.95767,
"y": 1739.2955,
"z": -46.75015
}
},
{
"type": "NOSE_BOTTOM_CENTER",
"position": {
"x": 468.7361,
"y": 1739.5958,
"z": -78.64168
}
},
{
"type": "LEFT_EYE_TOP_BOUNDARY",
"position": {
"x": 352.39365,
"y": 1618.0576,
"z": -7.2005444
}
},
{
"type": "LEFT_EYE_RIGHT_CORNER",
"position": {
"x": 395.81454,
"y": 1629.9379,
"z": -2.4021797
}
},
{
"type": "LEFT_EYE_BOTTOM_BOUNDARY",
"position": {
"x": 357.511,
"y": 1649.6553,
"z": -4.4735374
}
},
{
"type": "LEFT_EYE_LEFT_CORNER",
"position": {
"x": 316.1426,
"y": 1645.2771,
"z": 18.701395
}
},
{
"type": "RIGHT_EYE_TOP_BOUNDARY",
"position": {
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"y": 1582.3448,
"z": -17.07942
}
},
{
"type": "RIGHT_EYE_RIGHT_CORNER",
"position": {
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"y": 1599.1897,
"z": 4.014868
}
},
{
"type": "RIGHT_EYE_BOTTOM_BOUNDARY",
"position": {
"x": 558.60706,
"y": 1615.964,
"z": -15.077105
}
},
{
"type": "RIGHT_EYE_LEFT_CORNER",
"position": {
"x": 514.8054,
"y": 1605.6407,
"z": -7.929638
}
},
{
"type": "LEFT_EYEBROW_UPPER_MIDPOINT",
"position": {
"x": 336.4973,
"y": 1567.6466,
"z": -7.853897
}
},
{
"type": "RIGHT_EYEBROW_UPPER_MIDPOINT",
"position": {
"x": 542.3708,
"y": 1536.191,
"z": -19.405855
}
},
{
"type": "LEFT_EAR_TRAGION",
"position": {
"x": 231.38948,
"y": 1749.3823,
"z": 221.4534
}
},
{
"type": "RIGHT_EAR_TRAGION",
"position": {
"x": 712.5644,
"y": 1670.4897,
"z": 199.4929
}
},
{
"type": "FOREHEAD_GLABELLA",
"position": {
"x": 439.35938,
"y": 1561.1454,
"z": -36.451645
}
},
{
"type": "CHIN_GNATHION",
"position": {
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"y": 1942.0133,
"z": -75.04764
}
},
{
"type": "CHIN_LEFT_GONION",
"position": {
"x": 304.9834,
"y": 1892.5361,
"z": 114.12407
}
},
{
"type": "CHIN_RIGHT_GONION",
"position": {
"x": 684.92535,
"y": 1824.337,
"z": 96.13425
}
},
{
"type": "LEFT_CHEEK_CENTER",
"position": {
"x": 334.5645,
"y": 1764.659,
"z": -2.0755844
}
},
{
"type": "RIGHT_CHEEK_CENTER",
"position": {
"x": 609.5919,
"y": 1719.6847,
"z": -16.861538
}
}
],
"rollAngle": -8.514851,
"panAngle": -3.096844,
"tiltAngle": 9.26052,
"detectionConfidence": 0.5463216,
"landmarkingConfidence": 0.55711126,
"joyLikelihood": "VERY_UNLIKELY",
"sorrowLikelihood": "VERY_UNLIKELY",
"angerLikelihood": "VERY_UNLIKELY",
"surpriseLikelihood": "VERY_UNLIKELY",
"underExposedLikelihood": "VERY_UNLIKELY",
"blurredLikelihood": "UNLIKELY",
"headwearLikelihood": "VERY_UNLIKELY"
},
{
"boundingPoly": {
"vertices": [
{
"x": 785,
"y": 167
},
{
"x": 1100,
"y": 167
},
{
"x": 1100,
"y": 534
},
{
"x": 785,
"y": 534
}
]
},
"fdBoundingPoly": {
"vertices": [
{
"x": 834,
"y": 220
},
{
"x": 1101,
"y": 220
},
{
"x": 1101,
"y": 506
},
{
"x": 834,
"y": 506
}
]
},
"landmarks": [
{
"type": "LEFT_EYE",
"position": {
"x": 933.74615,
"y": 351.82394,
"z": -0.00068986416
}
},
{
"type": "RIGHT_EYE",
"position": {
"x": 1005.8836,
"y": 329.02396,
"z": 43.38338
}
},
{
"type": "LEFT_OF_LEFT_EYEBROW",
"position": {
"x": 901.93494,
"y": 333.3503,
"z": -9.714935
}
},
{
"type": "RIGHT_OF_LEFT_EYEBROW",
"position": {
"x": 957.4015,
"y": 319.9436,
"z": -6.8983736
}
},
{
"type": "LEFT_OF_RIGHT_EYEBROW",
"position": {
"x": 987.50134,
"y": 308.46817,
"z": 13.108145
}
},
{
"type": "RIGHT_OF_RIGHT_EYEBROW",
"position": {
"x": 1031.5519,
"y": 298.8843,
"z": 65.60683
}
},
{
"type": "MIDPOINT_BETWEEN_EYES",
"position": {
"x": 979.4568,
"y": 336.0551,
"z": 3.8077774
}
},
{
"type": "NOSE_TIP",
"position": {
"x": 1003.45795,
"y": 398.80377,
"z": -17.351936
}
},
{
"type": "UPPER_LIP",
"position": {
"x": 1000.16614,
"y": 432.11664,
"z": 5.2740355
}
},
{
"type": "LOWER_LIP",
"position": {
"x": 1004.0378,
"y": 456.92422,
"z": 13.545323
}
},
{
"type": "MOUTH_LEFT",
"position": {
"x": 961.922,
"y": 448.64325,
"z": 11.117096
}
},
{
"type": "MOUTH_RIGHT",
"position": {
"x": 1025.2979,
"y": 432.70157,
"z": 47.89795
}
},
{
"type": "MOUTH_CENTER",
"position": {
"x": 1002.51434,
"y": 443.3482,
"z": 13.021965
}
},
{
"type": "NOSE_BOTTOM_RIGHT",
"position": {
"x": 1015.5027,
"y": 402.8421,
"z": 28.03568
}
},
{
"type": "NOSE_BOTTOM_LEFT",
"position": {
"x": 969.764,
"y": 413.05563,
"z": 3.1156778
}
},
{
"type": "NOSE_BOTTOM_CENTER",
"position": {
"x": 997.8564,
"y": 416.98083,
"z": 3.3404813
}
},
{
"type": "LEFT_EYE_TOP_BOUNDARY",
"position": {
"x": 930.542,
"y": 343.17078,
"z": -6.9020395
}
},
{
"type": "LEFT_EYE_RIGHT_CORNER",
"position": {
"x": 950.7726,
"y": 348.11346,
"z": 9.216144
}
},
{
"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
在試用這個範例之前,請先按照Go「使用用戶端程式庫的 Vision 快速入門導覽課程」中的設定說明操作。詳情請參閱 Vision Go API 參考說明文件。
如要向 Vision 進行驗證,請設定應用程式預設憑證。 詳情請參閱「為本機開發環境設定驗證」。
// 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
在試用這個範例之前,請先按照使用用戶端程式庫的 Vision API 快速入門導覽課程中的 Java 設定操作說明進行操作。詳情請參閱 Vision API Java 參考說明文件。
import com.google.cloud.vision.v1.AnnotateImageRequest;
import com.google.cloud.vision.v1.AnnotateImageResponse;
import com.google.cloud.vision.v1.BatchAnnotateImagesResponse;
import com.google.cloud.vision.v1.FaceAnnotation;
import com.google.cloud.vision.v1.Feature;
import com.google.cloud.vision.v1.Image;
import com.google.cloud.vision.v1.ImageAnnotatorClient;
import com.google.protobuf.ByteString;
import java.io.FileInputStream;
import java.io.IOException;
import java.util.ArrayList;
import java.util.List;
public class DetectFaces {
public static void detectFaces() throws IOException {
// TODO(developer): Replace these variables before running the sample.
String filePath = "path/to/your/image/file.jpg";
detectFaces(filePath);
}
// Detects faces in the specified local image.
public static void detectFaces(String filePath) throws IOException {
List<AnnotateImageRequest> requests = new ArrayList<>();
ByteString imgBytes = ByteString.readFrom(new FileInputStream(filePath));
Image img = Image.newBuilder().setContent(imgBytes).build();
Feature feat = Feature.newBuilder().setType(Feature.Type.FACE_DETECTION).build();
AnnotateImageRequest request =
AnnotateImageRequest.newBuilder().addFeatures(feat).setImage(img).build();
requests.add(request);
// Initialize client that will be used to send requests. This client only needs to be created
// once, and can be reused for multiple requests. After completing all of your requests, call
// the "close" method on the client to safely clean up any remaining background resources.
try (ImageAnnotatorClient client = ImageAnnotatorClient.create()) {
BatchAnnotateImagesResponse response = client.batchAnnotateImages(requests);
List<AnnotateImageResponse> responses = response.getResponsesList();
for (AnnotateImageResponse res : responses) {
if (res.hasError()) {
System.out.format("Error: %s%n", res.getError().getMessage());
return;
}
// For full list of available annotations, see http://g.co/cloud/vision/docs
for (FaceAnnotation annotation : res.getFaceAnnotationsList()) {
System.out.format(
"anger: %s%njoy: %s%nsurprise: %s%nposition: %s",
annotation.getAngerLikelihood(),
annotation.getJoyLikelihood(),
annotation.getSurpriseLikelihood(),
annotation.getBoundingPoly());
}
}
}
}
}Node.js
在試用這個範例之前,請先按照Node.js「使用用戶端程式庫的 Vision 快速入門導覽課程」中的設定說明操作。詳情請參閱 Vision Node.js API 參考說明文件。
如要向 Vision 進行驗證,請設定應用程式預設憑證。 詳情請參閱「為本機開發環境設定驗證」。
// Imports the Google Cloud client library
const vision = require('@google-cloud/vision');
// Creates a client
const client = new vision.ImageAnnotatorClient();
async function detectFaces() {
/**
* TODO(developer): Uncomment the following line before running the sample.
*/
// const fileName = 'Local image file, e.g. /path/to/image.png';
const [result] = await client.faceDetection(fileName);
const faces = result.faceAnnotations;
console.log('Faces:');
faces.forEach((face, i) => {
console.log(` Face #${i + 1}:`);
console.log(` Joy: ${face.joyLikelihood}`);
console.log(` Anger: ${face.angerLikelihood}`);
console.log(` Sorrow: ${face.sorrowLikelihood}`);
console.log(` Surprise: ${face.surpriseLikelihood}`);
});
}
detectFaces();Python
在試用這個範例之前,請先按照Python「使用用戶端程式庫的 Vision 快速入門導覽課程」中的設定說明操作。詳情請參閱 Vision Python API 參考說明文件。
如要向 Vision 進行驗證,請設定應用程式預設憑證。 詳情請參閱「為本機開發環境設定驗證」。
def detect_faces(path):
"""Detects faces in an image."""
from google.cloud import vision
client = vision.ImageAnnotatorClient()
with open(path, "rb") as image_file:
content = image_file.read()
image = vision.Image(content=content)
response = client.face_detection(image=image)
faces = response.face_annotations
# Names of likelihood from google.cloud.vision.enums
likelihood_name = (
"UNKNOWN",
"VERY_UNLIKELY",
"UNLIKELY",
"POSSIBLE",
"LIKELY",
"VERY_LIKELY",
)
print("Faces:")
for face in faces:
print(f"anger: {likelihood_name[face.anger_likelihood]}")
print(f"joy: {likelihood_name[face.joy_likelihood]}")
print(f"surprise: {likelihood_name[face.surprise_likelihood]}")
vertices = [
f"({vertex.x},{vertex.y})" for vertex in face.bounding_poly.vertices
]
print("face bounds: {}".format(",".join(vertices)))
if response.error.message:
raise Exception(
"{}\nFor more info on error messages, check: "
"https://cloud.google.com/apis/design/errors".format(response.error.message)
)
其他語言
C#: 請按照用戶端程式庫頁面上的C# 設定說明操作, 然後前往 .NET 適用的 Vision 參考說明文件。
PHP: 請按照用戶端程式庫頁面的 PHP 設定說明操作, 然後前往 PHP 適用的 Vision 參考文件。
Ruby: 請按照用戶端程式庫頁面的 Ruby 設定說明操作, 然後前往 Ruby 適用的 Vision 參考說明文件。
偵測遠端圖片中的臉孔
您可以透過 Vision API,對位於 Cloud Storage 或網路上的遠端圖片檔案執行特徵偵測。如要傳送遠端檔案要求,請在要求內文中指定檔案的網頁網址或 Cloud Storage URI。
REST
使用任何要求資料之前,請先替換以下項目:
HTTP 方法和網址:
POST https://vision.googleapis.com/v1/images:annotate
JSON 要求主體:
{
"requests": [
{
"image": {
"source": {
"imageUri": "CLOUD_STORAGE_IMAGE_URI"
}
},
"features": [
{
"maxResults": RESULTS_INT,
"type": "FACE_DETECTION"
}
]
}
]
}
如要傳送要求,請選擇以下其中一個選項:
curl
將要求主體儲存在名為 request.json 的檔案中,然後執行下列指令:
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
將要求主體儲存在名為 request.json 的檔案中,然後執行下列指令:
$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
如果要求成功,伺服器會傳回 200 OK HTTP 狀態碼與 JSON 格式的回應。
FACE_DETECTION 回應包含偵測到的所有臉部定界框、臉部偵測到的地標 (眼睛、鼻子、嘴巴等),以及臉部和圖片屬性 (喜悅、悲傷、憤怒、驚訝等) 的可信度評分。
回應
{
"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
}
},
{
"type": "MIDPOINT_BETWEEN_EYES",
"position": {
"x": 1479.6194,
"y": 741.87305,
"z": -114.84635
}
},
{
"type": "NOSE_TIP",
"position": {
"x": 1443.3151,
"y": 917.5109,
"z": -194.49301
}
},
{
"type": "UPPER_LIP",
"position": {
"x": 1466.7897,
"y": 1025.3483,
"z": -130.1202
}
},
{
"type": "LOWER_LIP",
"position": {
"x": 1467.2588,
"y": 1147.0403,
"z": -109.24505
}
},
{
"type": "MOUTH_LEFT",
"position": {
"x": 1376.8649,
"y": 1066.0856,
"z": -6.8136826
}
},
{
"type": "MOUTH_RIGHT",
"position": {
"x": 1652,
"y": 1079.3108,
"z": -106.93649
}
},
{
"type": "MOUTH_CENTER",
"position": {
"x": 1485.5554,
"y": 1087.2388,
"z": -110.68126
}
},
{
"type": "NOSE_BOTTOM_RIGHT",
"position": {
"x": 1571.9475,
"y": 944.9213,
"z": -124.11806
}
},
{
"type": "NOSE_BOTTOM_LEFT",
"position": {
"x": 1395.2339,
"y": 938.12787,
"z": -58.072197
}
},
{
"type": "NOSE_BOTTOM_CENTER",
"position": {
"x": 1468.4205,
"y": 968.8732,
"z": -132.09975
}
},
{
"type": "LEFT_EYE_TOP_BOUNDARY",
"position": {
"x": 1357.8658,
"y": 711.2427,
"z": -14.618992
}
},
{
"type": "LEFT_EYE_RIGHT_CORNER",
"position": {
"x": 1423.6936,
"y": 750.4164,
"z": -23.540215
}
},
{
"type": "LEFT_EYE_BOTTOM_BOUNDARY",
"position": {
"x": 1360.5627,
"y": 762.87415,
"z": -1.2607727
}
},
{
"type": "LEFT_EYE_LEFT_CORNER",
"position": {
"x": 1313.72,
"y": 739.443,
"z": 50.216393
}
},
{
"type": "RIGHT_EYE_TOP_BOUNDARY",
"position": {
"x": 1661.6622,
"y": 718.6839,
"z": -134.17404
}
},
{
"type": "RIGHT_EYE_RIGHT_CORNER",
"position": {
"x": 1730.0901,
"y": 763.57104,
"z": -116.365845
}
},
{
"type": "RIGHT_EYE_BOTTOM_BOUNDARY",
"position": {
"x": 1660.8823,
"y": 777.3474,
"z": -120.8635
}
},
{
"type": "RIGHT_EYE_LEFT_CORNER",
"position": {
"x": 1590.8903,
"y": 753.5044,
"z": -91.84842
}
},
{
"type": "LEFT_EYEBROW_UPPER_MIDPOINT",
"position": {
"x": 1345.7522,
"y": 640.18243,
"z": -27.887913
}
},
{
"type": "RIGHT_EYEBROW_UPPER_MIDPOINT",
"position": {
"x": 1660.5848,
"y": 648.36145,
"z": -153.73691
}
},
{
"type": "LEFT_EAR_TRAGION",
"position": {
"x": 1274.1006,
"y": 826.2645,
"z": 422.6642
}
},
{
"type": "RIGHT_EAR_TRAGION",
"position": {
"x": 2014.8041,
"y": 908.56537,
"z": 149.61232
}
},
{
"type": "FOREHEAD_GLABELLA",
"position": {
"x": 1476.2395,
"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": {
"x": 1733.4912,
"y": 964.073,
"z": -112.43947
}
}
],
"rollAngle": 1.5912293,
"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
},
{
"x": 793,
"y": 1844
},
{
"x": 144,
"y": 1844
}
]
},
"fdBoundingPoly": {
"vertices": [
{
"x": 181,
"y": 1373
},
{
"x": 742,
"y": 1373
},
{
"x": 742,
"y": 1844
},
{
"x": 181,
"y": 1844
}
]
},
"landmarks": [
{
"type": "LEFT_EYE",
"position": {
"x": 356.13745,
"y": 1635.7034,
"z": 0.0045757294
}
},
{
"type": "RIGHT_EYE",
"position": {
"x": 557.07324,
"y": 1601.1769,
"z": -10.258446
}
},
{
"type": "LEFT_OF_LEFT_EYEBROW",
"position": {
"x": 284.70563,
"y": 1599.5238,
"z": 28.755493
}
},
{
"type": "RIGHT_OF_LEFT_EYEBROW",
"position": {
"x": 397.47183,
"y": 1574.1455,
"z": -28.716581
}
},
{
"type": "LEFT_OF_RIGHT_EYEBROW",
"position": {
"x": 484.00983,
"y": 1559.5669,
"z": -33.509003
}
},
{
"type": "RIGHT_OF_RIGHT_EYEBROW",
"position": {
"x": 607.31726,
"y": 1551.2396,
"z": 11.0225525
}
},
{
"type": "MIDPOINT_BETWEEN_EYES",
"position": {
"x": 447.86597,
"y": 1603.2458,
"z": -40.69277
}
},
{
"type": "NOSE_TIP",
"position": {
"x": 463.15356,
"y": 1705.7849,
"z": -114.36831
}
},
{
"type": "UPPER_LIP",
"position": {
"x": 475.02646,
"y": 1779.54,
"z": -85.219086
}
},
{
"type": "LOWER_LIP",
"position": {
"x": 483.2983,
"y": 1844.4594,
"z": -83.812
}
},
{
"type": "MOUTH_LEFT",
"position": {
"x": 391.11206,
"y": 1824.9432,
"z": -34.578503
}
},
{
"type": "MOUTH_RIGHT",
"position": {
"x": 559.85266,
"y": 1797.929,
"z": -44.700863
}
},
{
"type": "MOUTH_CENTER",
"position": {
"x": 478.21106,
"y": 1807.5089,
"z": -76.46759
}
},
{
"type": "NOSE_BOTTOM_RIGHT",
"position": {
"x": 522.9539,
"y": 1717.8636,
"z": -51.489075
}
},
{
"type": "NOSE_BOTTOM_LEFT",
"position": {
"x": 414.95767,
"y": 1739.2955,
"z": -46.75015
}
},
{
"type": "NOSE_BOTTOM_CENTER",
"position": {
"x": 468.7361,
"y": 1739.5958,
"z": -78.64168
}
},
{
"type": "LEFT_EYE_TOP_BOUNDARY",
"position": {
"x": 352.39365,
"y": 1618.0576,
"z": -7.2005444
}
},
{
"type": "LEFT_EYE_RIGHT_CORNER",
"position": {
"x": 395.81454,
"y": 1629.9379,
"z": -2.4021797
}
},
{
"type": "LEFT_EYE_BOTTOM_BOUNDARY",
"position": {
"x": 357.511,
"y": 1649.6553,
"z": -4.4735374
}
},
{
"type": "LEFT_EYE_LEFT_CORNER",
"position": {
"x": 316.1426,
"y": 1645.2771,
"z": 18.701395
}
},
{
"type": "RIGHT_EYE_TOP_BOUNDARY",
"position": {
"x": 553.78973,
"y": 1582.3448,
"z": -17.07942
}
},
{
"type": "RIGHT_EYE_RIGHT_CORNER",
"position": {
"x": 596.6489,
"y": 1599.1897,
"z": 4.014868
}
},
{
"type": "RIGHT_EYE_BOTTOM_BOUNDARY",
"position": {
"x": 558.60706,
"y": 1615.964,
"z": -15.077105
}
},
{
"type": "RIGHT_EYE_LEFT_CORNER",
"position": {
"x": 514.8054,
"y": 1605.6407,
"z": -7.929638
}
},
{
"type": "LEFT_EYEBROW_UPPER_MIDPOINT",
"position": {
"x": 336.4973,
"y": 1567.6466,
"z": -7.853897
}
},
{
"type": "RIGHT_EYEBROW_UPPER_MIDPOINT",
"position": {
"x": 542.3708,
"y": 1536.191,
"z": -19.405855
}
},
{
"type": "LEFT_EAR_TRAGION",
"position": {
"x": 231.38948,
"y": 1749.3823,
"z": 221.4534
}
},
{
"type": "RIGHT_EAR_TRAGION",
"position": {
"x": 712.5644,
"y": 1670.4897,
"z": 199.4929
}
},
{
"type": "FOREHEAD_GLABELLA",
"position": {
"x": 439.35938,
"y": 1561.1454,
"z": -36.451645
}
},
{
"type": "CHIN_GNATHION",
"position": {
"x": 501.61096,
"y": 1942.0133,
"z": -75.04764
}
},
{
"type": "CHIN_LEFT_GONION",
"position": {
"x": 304.9834,
"y": 1892.5361,
"z": 114.12407
}
},
{
"type": "CHIN_RIGHT_GONION",
"position": {
"x": 684.92535,
"y": 1824.337,
"z": 96.13425
}
},
{
"type": "LEFT_CHEEK_CENTER",
"position": {
"x": 334.5645,
"y": 1764.659,
"z": -2.0755844
}
},
{
"type": "RIGHT_CHEEK_CENTER",
"position": {
"x": 609.5919,
"y": 1719.6847,
"z": -16.861538
}
}
],
"rollAngle": -8.514851,
"panAngle": -3.096844,
"tiltAngle": 9.26052,
"detectionConfidence": 0.5463216,
"landmarkingConfidence": 0.55711126,
"joyLikelihood": "VERY_UNLIKELY",
"sorrowLikelihood": "VERY_UNLIKELY",
"angerLikelihood": "VERY_UNLIKELY",
"surpriseLikelihood": "VERY_UNLIKELY",
"underExposedLikelihood": "VERY_UNLIKELY",
"blurredLikelihood": "UNLIKELY",
"headwearLikelihood": "VERY_UNLIKELY"
},
{
"boundingPoly": {
"vertices": [
{
"x": 785,
"y": 167
},
{
"x": 1100,
"y": 167
},
{
"x": 1100,
"y": 534
},
{
"x": 785,
"y": 534
}
]
},
"fdBoundingPoly": {
"vertices": [
{
"x": 834,
"y": 220
},
{
"x": 1101,
"y": 220
},
{
"x": 1101,
"y": 506
},
{
"x": 834,
"y": 506
}
]
},
"landmarks": [
{
"type": "LEFT_EYE",
"position": {
"x": 933.74615,
"y": 351.82394,
"z": -0.00068986416
}
},
{
"type": "RIGHT_EYE",
"position": {
"x": 1005.8836,
"y": 329.02396,
"z": 43.38338
}
},
{
"type": "LEFT_OF_LEFT_EYEBROW",
"position": {
"x": 901.93494,
"y": 333.3503,
"z": -9.714935
}
},
{
"type": "RIGHT_OF_LEFT_EYEBROW",
"position": {
"x": 957.4015,
"y": 319.9436,
"z": -6.8983736
}
},
{
"type": "LEFT_OF_RIGHT_EYEBROW",
"position": {
"x": 987.50134,
"y": 308.46817,
"z": 13.108145
}
},
{
"type": "RIGHT_OF_RIGHT_EYEBROW",
"position": {
"x": 1031.5519,
"y": 298.8843,
"z": 65.60683
}
},
{
"type": "MIDPOINT_BETWEEN_EYES",
"position": {
"x": 979.4568,
"y": 336.0551,
"z": 3.8077774
}
},
{
"type": "NOSE_TIP",
"position": {
"x": 1003.45795,
"y": 398.80377,
"z": -17.351936
}
},
{
"type": "UPPER_LIP",
"position": {
"x": 1000.16614,
"y": 432.11664,
"z": 5.2740355
}
},
{
"type": "LOWER_LIP",
"position": {
"x": 1004.0378,
"y": 456.92422,
"z": 13.545323
}
},
{
"type": "MOUTH_LEFT",
"position": {
"x": 961.922,
"y": 448.64325,
"z": 11.117096
}
},
{
"type": "MOUTH_RIGHT",
"position": {
"x": 1025.2979,
"y": 432.70157,
"z": 47.89795
}
},
{
"type": "MOUTH_CENTER",
"position": {
"x": 1002.51434,
"y": 443.3482,
"z": 13.021965
}
},
{
"type": "NOSE_BOTTOM_RIGHT",
"position": {
"x": 1015.5027,
"y": 402.8421,
"z": 28.03568
}
},
{
"type": "NOSE_BOTTOM_LEFT",
"position": {
"x": 969.764,
"y": 413.05563,
"z": 3.1156778
}
},
{
"type": "NOSE_BOTTOM_CENTER",
"position": {
"x": 997.8564,
"y": 416.98083,
"z": 3.3404813
}
},
{
"type": "LEFT_EYE_TOP_BOUNDARY",
"position": {
"x": 930.542,
"y": 343.17078,
"z": -6.9020395
}
},
{
"type": "LEFT_EYE_RIGHT_CORNER",
"position": {
"x": 950.7726,
"y": 348.11346,
"z": 9.216144
}
},
{
"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
在試用這個範例之前,請先按照Go「使用用戶端程式庫的 Vision 快速入門導覽課程」中的設定說明操作。詳情請參閱 Vision Go API 參考說明文件。
如要向 Vision 進行驗證,請設定應用程式預設憑證。 詳情請參閱「為本機開發環境設定驗證」。
// detectFaces gets faces from the Vision API for an image at the given file path.
func detectFacesURI(w io.Writer, file string) error {
ctx := context.Background()
client, err := vision.NewImageAnnotatorClient(ctx)
if err != nil {
return err
}
image := vision.NewImageFromURI(file)
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
在試用這個範例之前,請先按照使用用戶端程式庫的 Vision API 快速入門導覽課程中的 Java 設定操作說明進行操作。詳情請參閱 Vision API Java 參考說明文件。
import com.google.cloud.vision.v1.AnnotateImageRequest;
import com.google.cloud.vision.v1.AnnotateImageResponse;
import com.google.cloud.vision.v1.BatchAnnotateImagesResponse;
import com.google.cloud.vision.v1.FaceAnnotation;
import com.google.cloud.vision.v1.Feature;
import com.google.cloud.vision.v1.Image;
import com.google.cloud.vision.v1.ImageAnnotatorClient;
import com.google.cloud.vision.v1.ImageSource;
import java.io.IOException;
import java.util.ArrayList;
import java.util.List;
public class DetectFacesGcs {
public static void detectFacesGcs() throws IOException {
// TODO(developer): Replace these variables before running the sample.
String filePath = "gs://your-gcs-bucket/path/to/image/file.jpg";
detectFacesGcs(filePath);
}
// Detects faces in the specified remote image on Google Cloud Storage.
public static void detectFacesGcs(String gcsPath) throws IOException {
List<AnnotateImageRequest> requests = new ArrayList<>();
ImageSource imgSource = ImageSource.newBuilder().setGcsImageUri(gcsPath).build();
Image img = Image.newBuilder().setSource(imgSource).build();
Feature feat = Feature.newBuilder().setType(Feature.Type.FACE_DETECTION).build();
AnnotateImageRequest request =
AnnotateImageRequest.newBuilder().addFeatures(feat).setImage(img).build();
requests.add(request);
// Initialize client that will be used to send requests. This client only needs to be created
// once, and can be reused for multiple requests. After completing all of your requests, call
// the "close" method on the client to safely clean up any remaining background resources.
try (ImageAnnotatorClient client = ImageAnnotatorClient.create()) {
BatchAnnotateImagesResponse response = client.batchAnnotateImages(requests);
List<AnnotateImageResponse> responses = response.getResponsesList();
for (AnnotateImageResponse res : responses) {
if (res.hasError()) {
System.out.format("Error: %s%n", res.getError().getMessage());
return;
}
// For full list of available annotations, see http://g.co/cloud/vision/docs
for (FaceAnnotation annotation : res.getFaceAnnotationsList()) {
System.out.format(
"anger: %s%njoy: %s%nsurprise: %s%nposition: %s",
annotation.getAngerLikelihood(),
annotation.getJoyLikelihood(),
annotation.getSurpriseLikelihood(),
annotation.getBoundingPoly());
}
}
}
}
}Node.js
在試用這個範例之前,請先按照Node.js「使用用戶端程式庫的 Vision 快速入門導覽課程」中的設定說明操作。詳情請參閱 Vision Node.js API 參考說明文件。
如要向 Vision 進行驗證,請設定應用程式預設憑證。 詳情請參閱「為本機開發環境設定驗證」。
// Imports the Google Cloud client libraries
const vision = require('@google-cloud/vision');
// Creates a client
const client = new vision.ImageAnnotatorClient();
/**
* TODO(developer): Uncomment the following lines before running the sample.
*/
// const bucketName = 'Bucket where the file resides, e.g. my-bucket';
// const fileName = 'Path to file within bucket, e.g. path/to/image.png';
// Performs face detection on the gcs file
const [result] = await client.faceDetection(`gs://${bucketName}/${fileName}`);
const faces = result.faceAnnotations;
console.log('Faces:');
faces.forEach((face, i) => {
console.log(` Face #${i + 1}:`);
console.log(` Joy: ${face.joyLikelihood}`);
console.log(` Anger: ${face.angerLikelihood}`);
console.log(` Sorrow: ${face.sorrowLikelihood}`);
console.log(` Surprise: ${face.surpriseLikelihood}`);
});Python
在試用這個範例之前,請先按照Python「使用用戶端程式庫的 Vision 快速入門導覽課程」中的設定說明操作。詳情請參閱 Vision Python API 參考說明文件。
如要向 Vision 進行驗證,請設定應用程式預設憑證。 詳情請參閱「為本機開發環境設定驗證」。
def detect_faces_uri(uri):
"""Detects faces in the file located in Google Cloud Storage or the web."""
from google.cloud import vision
client = vision.ImageAnnotatorClient()
image = vision.Image()
image.source.image_uri = uri
response = client.face_detection(image=image)
faces = response.face_annotations
# Names of likelihood from google.cloud.vision.enums
likelihood_name = (
"UNKNOWN",
"VERY_UNLIKELY",
"UNLIKELY",
"POSSIBLE",
"LIKELY",
"VERY_LIKELY",
)
print("Faces:")
for face in faces:
print(f"anger: {likelihood_name[face.anger_likelihood]}")
print(f"joy: {likelihood_name[face.joy_likelihood]}")
print(f"surprise: {likelihood_name[face.surprise_likelihood]}")
vertices = [
f"({vertex.x},{vertex.y})" for vertex in face.bounding_poly.vertices
]
print("face bounds: {}".format(",".join(vertices)))
if response.error.message:
raise Exception(
"{}\nFor more info on error messages, check: "
"https://cloud.google.com/apis/design/errors".format(response.error.message)
)
gcloud
如要執行臉部偵測,請使用 gcloud ml vision detect-faces 指令,如下列範例所示:
gcloud ml vision detect-faces gs://cloud-samples-data/vision/face/faces.jpeg
其他語言
C#: 請按照用戶端程式庫頁面上的C# 設定說明操作, 然後前往 .NET 適用的 Vision 參考說明文件。
PHP: 請按照用戶端程式庫頁面的 PHP 設定說明操作, 然後前往 PHP 適用的 Vision 參考文件。
Ruby: 請按照用戶端程式庫頁面的 Ruby 設定說明操作, 然後前往 Ruby 適用的 Vision 參考說明文件。
試試看
請試試下方的臉部偵測功能。你可以使用已指定的圖片 (gs://cloud-samples-data/vision/face/faces.jpeg),也可以指定自己的圖片。選取「Execute」,傳送要求。
要求主體:
{
"requests": [
{
"features": [
{
"maxResults": 10,
"type": "FACE_DETECTION"
}
],
"image": {
"source": {
"imageUri": "gs://cloud-samples-data/vision/face/faces.jpeg"
}
}
}
]
}