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62 lines
2.5 KiB
Markdown
62 lines
2.5 KiB
Markdown
---
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description: Seam-carving resize that adds or removes pixels along low-importance paths to preserve key content and faces.
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---
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# Content-Aware Resize
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Seam carving resize that intelligently removes or adds pixels along paths of least visual importance, preserving important content and optionally protecting faces.
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## API Endpoint
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`POST /api/v1/tools/image/content-aware-resize`
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**Processing:** Synchronous (returns result directly)
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**Model bundle:** None required for basic operation. Face protection uses the `face-detection` bundle (200-300 MB) if enabled.
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## Parameters
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| Parameter | Type | Required | Default | Description |
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|-----------|------|----------|---------|-------------|
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| file | file | Yes | - | Image file (multipart) |
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| width | number | No | - | Target width in pixels |
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| height | number | No | - | Target height in pixels |
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| protectFaces | boolean | No | `false` | Detect and protect faces from seam removal |
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| blurRadius | number | No | `4` | Pre-processing blur radius for energy calculation (0-20) |
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| sobelThreshold | number | No | `2` | Sobel edge detection threshold (1-20). Higher values make the algorithm more aggressive |
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| square | boolean | No | `false` | Resize to a square (uses the smaller dimension) |
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At least one of `width`, `height`, or `square` must be specified.
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## Example Request
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```bash
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curl -X POST http://localhost:1349/api/v1/tools/image/content-aware-resize \
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-F "file=@landscape.jpg" \
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-F 'settings={"width":800,"protectFaces":true}'
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```
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## Response (200 OK)
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```json
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{
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"jobId": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
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"downloadUrl": "/api/v1/download/{jobId}/landscape_seam.png",
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"originalSize": 450000,
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"processedSize": 380000,
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"width": 800,
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"height": 600
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}
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```
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## Notes
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- This tool returns a synchronous response (not 202 async). Processing happens inline.
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- Uses the `caire` seam carving library for content-aware resizing.
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- Only reduces dimensions (removes seams). Cannot expand an image beyond its original size.
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- The `protectFaces` option uses AI face detection to mark face regions as high-energy, preventing seams from passing through faces.
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- `blurRadius` controls smoothing before energy map calculation. Higher values make the energy map more uniform, which can help with noisy images.
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- `sobelThreshold` affects how aggressively edges are detected. Lower values preserve more subtle edges.
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- Output is always PNG format.
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- Supports HEIC/HEIF, RAW, TGA, PSD, EXR, and HDR input formats via automatic decoding.
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