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Face / PII Blur

使用 AI 驱动的人脸检测(MediaPipe)自动识别并模糊图像中的人脸。

API Endpoint

POST /api/v1/tools/image/blur-faces

处理方式: 异步(返回 202,通过 SSE 轮询 /api/v1/jobs/{jobId}/progress 获取状态)

模型包: face-detection(200-300 MB)

Parameters

ParameterTypeRequiredDefaultDescription
filefile-图像文件(multipart)
blurRadiusnumber30应用于检测到人脸的模糊半径(1-100)
sensitivitynumber0.5人脸检测灵敏度(0-1)。值越低,检测到的人脸越少但置信度越高

Example Request

bash
curl -X POST http://localhost:1349/api/v1/tools/image/blur-faces \
  -F "[email protected]" \
  -F 'settings={"blurRadius":40,"sensitivity":0.3}'

Response

Initial Response (202 Accepted)

json
{
  "jobId": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
  "async": true
}

Progress (SSE at /api/v1/jobs/{jobId}/progress)

event: progress
data: {"phase":"processing","stage":"Detecting faces...","percent":40}

Final Result (via SSE)

json
{
  "phase": "complete",
  "percent": 100,
  "result": {
    "jobId": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
    "downloadUrl": "/api/v1/download/{jobId}/group-photo_blurred.jpg",
    "originalSize": 450000,
    "processedSize": 420000,
    "facesDetected": 3,
    "faces": [
      {"x": 100, "y": 50, "w": 80, "h": 80},
      {"x": 300, "y": 60, "w": 75, "h": 75},
      {"x": 500, "y": 55, "w": 85, "h": 85}
    ]
  }
}

No Faces Detected

如果未找到人脸,结果会包含一条警告:

json
{
  "phase": "complete",
  "percent": 100,
  "result": {
    "facesDetected": 0,
    "warning": "No faces detected in this image. Try increasing detection sensitivity."
  }
}

Notes

  • 需要安装 face-detection 模型包(200-300 MB)。
  • 输出格式会自动与输入格式一致。
  • faces 数组包含每个检测到人脸的边界框坐标(x、y、width、height)。
  • 提高 sensitivity(接近 1.0)可检测更多人脸,包括部分遮挡的人脸。
  • 通过自动解码支持 HEIC/HEIF、RAW、TGA、PSD、EXR 和 HDR 输入格式。