Siddharth Kumar Sah
6668615750
Rewrites all documentation with accurate project details (Fastify, port 1349, single-container Docker, all 33+ tools, full database schema). Adds getting started guide and configuration reference. Updates help and settings dialogs to link to the docs site.
3.4 KiB
AI engine
The @stirling-image/ai package wraps Python ML models in TypeScript functions. Each operation spawns a Python subprocess, processes the image, and returns the result. The bridge layer handles serialization and error propagation.
All model weights are bundled in the Docker image during the build. No downloads happen at runtime.
Background removal
Removes the background from an image and returns a transparent PNG.
Model: BiRefNet-Lite via rembg
| Parameter | Type | Description |
|---|---|---|
model |
string | Model name. Default: birefnet-lite. Options include u2net, isnet-general-use, and others supported by rembg. |
alphaMatting |
boolean | Use alpha matting for finer edge detail |
alphaMattingForegroundThreshold |
number | Foreground threshold for alpha matting (0-255) |
alphaMattingBackgroundThreshold |
number | Background threshold for alpha matting (0-255) |
Python script: packages/ai/python/remove_bg.py
Upscaling
Increases image resolution using AI super-resolution.
Model: RealESRGAN
| Parameter | Type | Description |
|---|---|---|
scale |
number | Upscale factor: 2 or 4 |
Returns the upscaled image along with the original and new dimensions.
Python script: packages/ai/python/upscale.py
OCR (text recognition)
Extracts text from images.
Model: PaddleOCR
| Parameter | Type | Description |
|---|---|---|
language |
string | Language code (e.g. en, ch, fr, de) |
Returns structured results with text content, bounding boxes, and confidence scores for each detected text region.
Python script: packages/ai/python/ocr.py
Face detection and blurring
Detects faces in an image and applies a blur to each detected region.
Model: MediaPipe Face Detection
| Parameter | Type | Description |
|---|---|---|
blurStrength |
number | How strongly to blur detected faces |
Returns the blurred image along with metadata about each detected face region (bounding box coordinates and confidence score).
Python script: packages/ai/python/detect_faces.py
Object erasing (inpainting)
Removes objects from images by filling in the area with generated content that matches the surroundings.
Model: LaMa (Large Mask Inpainting)
Takes an image and a mask (white = area to erase, black = keep). Returns the inpainted image.
Python script: packages/ai/python/inpaint.py
Smart crop
Content-aware cropping that identifies the most relevant region of an image.
| Parameter | Type | Description |
|---|---|---|
width |
number | Target crop width |
height |
number | Target crop height |
Unlike regular cropping, smart crop analyzes the image content to decide where to place the crop window.
How the bridge works
The TypeScript bridge (packages/ai/src/bridge.ts) does the following for each AI call:
- Writes the input image to a temp file in the workspace directory.
- Spawns a Python subprocess with the appropriate script and arguments.
- Reads stdout for JSON output and stderr for error messages.
- Reads the output image from the filesystem.
- Cleans up temp files.
If the Python process exits with a non-zero code or writes to stderr, the bridge throws an error with the stderr content. Timeouts are handled at the API route level.