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35 lines
948 B
Markdown
35 lines
948 B
Markdown
# Model Adapter Guide
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## Purpose
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Detection and segmentation must be implemented behind stable adapters so V1 can support demo/local model flows while remaining ready for YOLO/SAM integration.
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## Detection Adapter Interface
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```python
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class DetectionAdapter:
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name: str
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supported_classes: list[str]
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def is_available(self) -> bool: ...
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def predict(self, image_tile, parameters) -> list[DetectionResult]: ...
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```
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## Detection Result
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Fields:
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- class_name
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- confidence
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- bbox_pixel
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- bbox_geo optional after georeferencing
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- source_tile
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- metadata
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## Segmentation Adapter Interface
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```python
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class SegmentationAdapter:
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name: str
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supported_classes: list[str]
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def is_available(self) -> bool: ...
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def segment(self, image_tile, parameters) -> list[SegmentationResult]: ...
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```
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## V1 Rule
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If real YOLO weights are not configured, use a demo adapter only when clearly labelled as demo and never present it as production AI.
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