feat(docs-i18n): translate all documentation into 20 languages

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.
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---
description: "AI 驅動的偵測與更正,處理相機閃光燈造成的紅眼。"
i18n_source_hash: 647c6ff1ef7c
i18n_provenance: human
i18n_output_hash: a2e5e426a371
---
# 紅眼移除 {#red-eye-removal}
AI 驅動的偵測與更正,處理相機閃光燈造成的紅眼。
## API 端點 {#api-endpoint}
`POST /api/v1/tools/image/red-eye-removal`
**處理方式:** 非同步(傳回 202,透過 SSE 輪詢 `/api/v1/jobs/{jobId}/progress` 以取得狀態)
**模型套件包:** `face-detection`200-300 MB
## 參數 {#parameters}
| 參數 | 類型 | 必填 | 預設值 | 說明 |
|-----------|------|----------|---------|-------------|
| file | file | 是 | - | 圖片檔案(multipart |
| sensitivity | number | 否 | `50` | 紅眼偵測靈敏度(0-100)。數值越高越能偵測到較細微的紅眼 |
| strength | number | 否 | `70` | 更正強度(0-100)。中和紅色的積極程度 |
| format | string | 否 | - | 輸出格式(選用覆寫值) |
| quality | number | 否 | `90` | 輸出品質(1-100 |
## 範例請求 {#example-request}
```bash
curl -X POST http://localhost:1349/api/v1/tools/image/red-eye-removal \
-F "file=@flash-photo.jpg" \
-F 'settings={"sensitivity":60,"strength":80}'
```
## 回應 {#response}
### 初始回應(202 Accepted {#initial-response-202-accepted}
```json
{
"jobId": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
"async": true
}
```
### 進度(SSE 於 `/api/v1/jobs/{jobId}/progress` {#progress-sse-at-api-v1-jobs-jobid-progress}
```
event: progress
data: {"phase":"processing","stage":"Detecting red eyes...","percent":40}
```
### 最終結果(透過 SSE {#final-result-via-sse}
```json
{
"phase": "complete",
"percent": 100,
"result": {
"jobId": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
"downloadUrl": "/api/v1/download/{jobId}/flash-photo_redeye_fixed.png",
"originalSize": 280000,
"processedSize": 290000,
"facesDetected": 2,
"eyesCorrected": 4
}
}
```
## 注意事項 {#notes}
- 需要安裝 `face-detection` 模型套件包(200-300 MB)。
- 會先偵測臉部,接著在每張臉部中定位眼睛區域,最後辨識並更正紅眼像素。
- `facesDetected` 計數表示找到多少張臉;`eyesCorrected` 是完成紅眼更正的個別眼睛總數。
- 輸出一律為 PNG,以達到最佳品質保留。
- 透過自動解碼支援 HEIC/HEIF、RAW、TGA、PSD、EXR 與 HDR 輸入格式。