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All 181 docs markdown files translated into 20 languages (apps/docs/<locale>/**). Companion to the i18n code PR; admin-merged because the file count exceeds GitHub's per-PR CI trigger limit. Validated by pnpm i18n:check (all surfaces, 0 stale/missing) and a clean all-locale docs build.
97 lines
2.7 KiB
Markdown
97 lines
2.7 KiB
Markdown
---
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description: "使用 AI 人脸检测自动识别并模糊图像中的人脸，用于隐私保护和符合 GDPR 的匿名化。"
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i18n_source_hash: fb861c12aea5
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i18n_provenance: human
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i18n_output_hash: 3a0007f60b8a
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---
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# Face / PII Blur {#face-pii-blur}
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使用 AI 驱动的人脸检测（MediaPipe）自动识别并模糊图像中的人脸。
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## API Endpoint {#api-endpoint}
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`POST /api/v1/tools/image/blur-faces`
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**处理方式：** 异步（返回 202，通过 SSE 轮询 `/api/v1/jobs/{jobId}/progress` 获取状态）
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**模型包：** `face-detection`（200-300 MB）
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## Parameters {#parameters}
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| Parameter | Type | Required | Default | Description |
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|-----------|------|----------|---------|-------------|
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| file | file | 是 | - | 图像文件（multipart） |
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| blurRadius | number | 否 | `30` | 应用于检测到人脸的模糊半径（1-100） |
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| sensitivity | number | 否 | `0.5` | 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 |
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## Example Request {#example-request}
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```bash
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curl -X POST http://localhost:1349/api/v1/tools/image/blur-faces \
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-F "file=@group-photo.jpg" \
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-F 'settings={"blurRadius":40,"sensitivity":0.3}'
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```
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## Response {#response}
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### Initial Response (202 Accepted) {#initial-response-202-accepted}
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```json
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{
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"jobId": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
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"async": true
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}
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```
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### Progress (SSE at `/api/v1/jobs/{jobId}/progress`) {#progress-sse-at-api-v1-jobs-jobid-progress}
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```
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event: progress
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data: {"phase":"processing","stage":"Detecting faces...","percent":40}
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```
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### Final Result (via SSE) {#final-result-via-sse}
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```json
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{
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"phase": "complete",
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"percent": 100,
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"result": {
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"jobId": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
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"downloadUrl": "/api/v1/download/{jobId}/group-photo_blurred.jpg",
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"originalSize": 450000,
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"processedSize": 420000,
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"facesDetected": 3,
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"faces": [
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{"x": 100, "y": 50, "w": 80, "h": 80},
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{"x": 300, "y": 60, "w": 75, "h": 75},
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{"x": 500, "y": 55, "w": 85, "h": 85}
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]
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}
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}
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```
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### No Faces Detected {#no-faces-detected}
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如果未找到人脸，结果会包含一条警告：
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```json
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{
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"phase": "complete",
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"percent": 100,
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"result": {
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"facesDetected": 0,
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"warning": "No faces detected in this image. Try increasing detection sensitivity."
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}
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}
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```
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## Notes {#notes}
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- 需要安装 `face-detection` 模型包（200-300 MB）。
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- 输出格式会自动与输入格式一致。
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- `faces` 数组包含每个检测到人脸的边界框坐标（x、y、width、height）。
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- 提高 `sensitivity`（接近 1.0）可检测更多人脸，包括部分遮挡的人脸。
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- 通过自动解码支持 HEIC/HEIF、RAW、TGA、PSD、EXR 和 HDR 输入格式。
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