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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.
80 lines
2.4 KiB
Markdown
80 lines
2.4 KiB
Markdown
---
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description: "基于 AI 检测并修正相机闪光灯造成的红眼。"
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i18n_source_hash: 647c6ff1ef7c
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i18n_provenance: human
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i18n_output_hash: 4c47e6dbe7e2
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---
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# 红眼消除 {#red-eye-removal}
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基于 AI 检测并修正相机闪光灯造成的红眼。
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## API 端点 {#api-endpoint}
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`POST /api/v1/tools/image/red-eye-removal`
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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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## 参数 {#parameters}
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| 参数 | 类型 | 是否必填 | 默认值 | 说明 |
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|-----------|------|----------|---------|-------------|
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| file | file | 是 | - | 图片文件(multipart) |
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| sensitivity | number | 否 | `50` | 红眼检测灵敏度(0-100)。值越高,越能检测出更细微的红眼 |
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| strength | number | 否 | `70` | 修正强度(0-100)。中和红色的力度 |
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| format | string | 否 | - | 输出格式(可选覆盖) |
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| quality | number | 否 | `90` | 输出质量(1-100) |
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## 请求示例 {#example-request}
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```bash
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curl -X POST http://localhost:1349/api/v1/tools/image/red-eye-removal \
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-F "file=@flash-photo.jpg" \
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-F 'settings={"sensitivity":60,"strength":80}'
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```
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## 响应 {#response}
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### 初始响应(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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### 进度(位于 `/api/v1/jobs/{jobId}/progress` 的 SSE) {#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 red eyes...","percent":40}
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```
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### 最终结果(通过 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}/flash-photo_redeye_fixed.png",
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"originalSize": 280000,
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"processedSize": 290000,
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"facesDetected": 2,
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"eyesCorrected": 4
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}
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}
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```
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## 说明 {#notes}
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- 需要安装 `face-detection` 模型包(200-300 MB)。
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- 先检测人脸,再定位每张脸内的眼睛区域,最后识别并修正红眼像素。
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- `facesDetected` 数量表示找到了多少张人脸;`eyesCorrected` 是被修正了红眼的单只眼睛的总数。
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- 输出始终为 PNG,以最大程度地保留质量。
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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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