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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
3.4 KiB
Markdown
97 lines
3.4 KiB
Markdown
---
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description: "使用 AI 流程修復舊照片上的刮痕、撕裂與損傷，進行修復、臉部增強與上色。"
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i18n_source_hash: 3de13284216c
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i18n_provenance: human
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i18n_output_hash: bd38a38e0f20
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---
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# 照片修復 {#photo-restoration}
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使用多步驟 AI 流程修復舊照片上的刮痕、撕裂與損傷。結合刮痕修復、臉部增強、降噪與選用的上色。
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## API 端點 {#api-endpoint}
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`POST /api/v1/tools/image/restore-photo`
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**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）
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**模型套件包：** `photo-restoration`（4-5 GB）
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## 參數 {#parameters}
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| 參數 | 類型 | 必填 | 預設值 | 說明 |
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|-----------|------|----------|---------|-------------|
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| file | file | 是 | - | 圖片檔案（multipart） |
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| scratchRemoval | boolean | 否 | `true` | 移除刮痕與表面損傷 |
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| faceEnhancement | boolean | 否 | `true` | 增強修復照片中的臉部 |
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| fidelity | number | 否 | `0.7` | 臉部增強保真度（0-1）。數值越高越能保留原始特徵 |
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| denoise | boolean | 否 | `true` | 對修復結果套用降噪 |
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| denoiseStrength | number | 否 | `25` | 降噪強度（0-100） |
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| colorize | boolean | 否 | `false` | 為修復照片上色（適用於灰階圖片） |
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| colorizeStrength | number | 否 | `85` | 上色強度（0-100） |
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## 範例請求 {#example-request}
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```bash
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curl -X POST http://localhost:1349/api/v1/tools/image/restore-photo \
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-F "file=@damaged-old-photo.jpg" \
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-F 'settings={"scratchRemoval":true,"faceEnhancement":true,"fidelity":0.6,"colorize":true}'
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```
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## 回應 {#response}
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### 初始回應（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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### 進度（SSE 於 `/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":"Removing scratches...","percent":30}
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```
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```
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event: progress
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data: {"phase":"processing","stage":"Enhancing faces...","percent":60}
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```
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### 最終結果（透過 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}/damaged-old-photo_restored.jpg",
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"previewUrl": "/api/v1/download/{jobId}/preview.webp",
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"originalSize": 200000,
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"processedSize": 350000,
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"width": 1200,
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"height": 900,
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"steps": ["scratch_removal", "face_enhancement", "denoise", "colorize"],
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"scratchCoverage": 12.5,
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"facesEnhanced": 2,
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"isGrayscale": true,
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"colorized": true
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}
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}
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```
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## 注意事項 {#notes}
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- 需要安裝 `photo-restoration` 模型套件包（4-5 GB）。
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- 此流程會依序執行多個 AI 步驟：刮痕修復、臉部增強（GFPGAN）、降噪，以及選用的上色。
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- 結果中的 `steps` 陣列會顯示實際執行了哪些處理步驟。
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- `scratchCoverage` 是估計有刮痕損傷的圖片面積百分比。
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- `fidelity` 控制臉部增強相對於保留原始外觀的強度。數值越低增強越積極；數值越高則越保守。
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- `colorize` 選項會自動偵測圖片是否為灰階。結果中的 `isGrayscale` 旗標會確認此偵測。
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- 輸出格式會自動與輸入格式相符。
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- 透過自動解碼支援 HEIC/HEIF、RAW、TGA、PSD、EXR、HDR 與 AVIF 輸入格式。
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