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80 lines
2.6 KiB
Markdown
80 lines
2.6 KiB
Markdown
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---
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description: "Hapus objek yang tidak diinginkan dari gambar dengan inpainting AI (LaMa), dipandu oleh masker area yang akan dihapus."
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i18n_source_hash: 8e2e42a5e4f9
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i18n_provenance: human
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i18n_output_hash: 30170741c99e
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---
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# Penghapus Objek {#object-eraser}
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Hapus objek yang tidak diinginkan dari gambar menggunakan inpainting AI (model LaMa). Menerima gambar dan masker yang menunjukkan area yang akan dihapus.
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## API Endpoint {#api-endpoint}
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`POST /api/v1/tools/image/erase-object`
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**Pemrosesan:** Asinkron (mengembalikan 202, polling `/api/v1/jobs/{jobId}/progress` untuk status via SSE)
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**Model bundle:** `object-eraser-colorize` (1-2 GB)
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## Parameter {#parameters}
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| Parameter | Tipe | Wajib | Default | Deskripsi |
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|-----------|------|----------|---------|-------------|
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| file | file | Ya | - | File gambar sumber (multipart) |
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| mask | file | Ya | - | Gambar masker (putih = area yang dihapus, hitam = dipertahankan). Harus diunggah dengan fieldname `mask` |
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| format | string | Tidak | `"auto"` | Format output: `auto`, `png`, `jpg`, `jpeg`, `webp`, `tiff`, `gif`, `avif`, `heic`, `heif`, `jxl` |
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| quality | integer | Tidak | `95` | Kualitas output (1-100) |
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## Contoh Permintaan {#example-request}
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```bash
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curl -X POST http://localhost:1349/api/v1/tools/image/erase-object \
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-F "file=@photo.jpg" \
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-F "mask=@mask.png" \
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-F "format=png" \
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-F "quality=95"
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```
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## Respons {#response}
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### Respons Awal (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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### Progres (SSE di `/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":"Inpainting...","percent":70}
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```
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### Hasil Akhir (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}/photo_erased.png",
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"previewUrl": "/api/v1/download/{jobId}/preview.webp",
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"originalSize": 245000,
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"processedSize": 230000
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}
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}
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```
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## Catatan {#notes}
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- Memerlukan model bundle `object-eraser-colorize` terpasang (1-2 GB).
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- Masker harus berdimensi sama dengan gambar sumber. Piksel putih menunjukkan area yang dihapus; AI mengisinya dengan konten yang masuk akal.
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- Menggunakan LaMa (Large Mask Inpainting) untuk penghapusan objek berkualitas tinggi.
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- Untuk format output yang tidak dapat dipratinjau di browser, pratinjau WebP dihasilkan bersama output utama.
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- Mendukung format input HEIC/HEIF, RAW, TGA, PSD, EXR, dan HDR melalui dekode otomatis.
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