# Module: ai_config ## Purpose Data class holding all AI recognition configuration parameters, with factory method for deserialization from dict format. ## Public Interface ### Class: AIRecognitionConfig #### Fields | Field | Type | Default | Description | |-------|------|---------|-------------| | `frame_period_recognition` | int | 4 | Process every Nth frame in video | | `frame_recognition_seconds` | double | 2.0 | Minimum seconds between valid video annotations | | `probability_threshold` | double | 0.25 | Minimum detection confidence | | `tracking_distance_confidence` | double | 0.0 | Distance threshold for tracking (model-width units) | | `tracking_probability_increase` | double | 0.0 | Required confidence increase for tracking update | | `tracking_intersection_threshold` | double | 0.6 | IoU threshold for overlapping detection removal | | `model_batch_size` | int | 1 | Batch size for inference | | `big_image_tile_overlap_percent` | int | 20 | Tile overlap percentage for large image splitting | | `altitude` | double | 400 | Camera altitude in meters | | `focal_length` | double | 24 | Camera focal length in mm | | `sensor_width` | double | 23.5 | Camera sensor width in mm | #### Methods | Method | Signature | Description | |--------|-----------|-------------| | `from_dict` | `(dict data) -> AIRecognitionConfig` | Static cdef; deserializes from Python dict | ## Internal Logic `from_dict` applies defaults for missing keys using full descriptive key names. **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. ## Dependencies - **External**: none - **Internal**: none (leaf module) ## Consumers - `inference` — creates config from dict, uses all fields for frame selection, detection filtering, image tiling, and tracking ## Data Models - `AIRecognitionConfig` — the sole data class ## Configuration Camera/altitude parameters (`altitude`, `focal_length`, `sensor_width`) are used for ground sampling distance calculation in aerial image processing. ## External Integrations None. ## Security None. ## Tests - `tests/test_ai_config_from_dict.py` — tests `ai_config_from_dict()` helper with defaults and overrides