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- Update module docs: main, inference, ai_config, loader_http_client - Add new module doc: media_hash - Update component docs: inference_pipeline, api - Update system-flows (F2, F3) and data_parameters - Add Task Mode to document skill for incremental doc updates - Insert Step 11 (Update Docs) in existing-code flow, renumber 11-13 to 12-14 Made-with: Cursor
67 lines
2.3 KiB
Markdown
67 lines
2.3 KiB
Markdown
# Module: ai_config
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## Purpose
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Data class holding all AI recognition configuration parameters, with factory method for deserialization from dict format.
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## Public Interface
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### Class: AIRecognitionConfig
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#### Fields
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| Field | Type | Default | Description |
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|-------|------|---------|-------------|
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| `frame_period_recognition` | int | 4 | Process every Nth frame in video |
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| `frame_recognition_seconds` | double | 2.0 | Minimum seconds between valid video annotations |
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| `probability_threshold` | double | 0.25 | Minimum detection confidence |
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| `tracking_distance_confidence` | double | 0.0 | Distance threshold for tracking (model-width units) |
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| `tracking_probability_increase` | double | 0.0 | Required confidence increase for tracking update |
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| `tracking_intersection_threshold` | double | 0.6 | IoU threshold for overlapping detection removal |
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| `model_batch_size` | int | 1 | Batch size for inference |
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| `big_image_tile_overlap_percent` | int | 20 | Tile overlap percentage for large image splitting |
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| `altitude` | double | 400 | Camera altitude in meters |
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| `focal_length` | double | 24 | Camera focal length in mm |
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| `sensor_width` | double | 23.5 | Camera sensor width in mm |
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#### Methods
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| Method | Signature | Description |
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|--------|-----------|-------------|
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| `from_dict` | `(dict data) -> AIRecognitionConfig` | Static cdef; deserializes from Python dict |
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## Internal Logic
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`from_dict` applies defaults for missing keys using full descriptive key names.
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**Removed**: `paths` field and `file_data` field were removed as part of the distributed architecture shift (AZ-174). Media paths are now resolved via the Annotations service API, not passed in config. `from_msgpack()` was also removed as it was unused.
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## Dependencies
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- **External**: none
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- **Internal**: none (leaf module)
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## Consumers
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- `inference` — creates config from dict, uses all fields for frame selection, detection filtering, image tiling, and tracking
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## Data Models
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- `AIRecognitionConfig` — the sole data class
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## Configuration
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Camera/altitude parameters (`altitude`, `focal_length`, `sensor_width`) are used for ground sampling distance calculation in aerial image processing.
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## External Integrations
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None.
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## Security
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None.
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## Tests
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- `tests/test_ai_config_from_dict.py` — tests `ai_config_from_dict()` helper with defaults and overrides
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