initial structure implemented

docs -> _docs

models/config/__init__.py

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+from .system_config import SystemConfig
+from .flight_config import FlightConfig
+from .database_config import DatabaseConfig
+from .model_config import ModelConfig
+from .rotation_config import RotationConfig
+from .recovery_config import RecoveryConfig
+
+__all__ = [
+    "SystemConfig",
+    "FlightConfig",
+    "DatabaseConfig",
+    "ModelConfig",
+    "RotationConfig",
+    "RecoveryConfig",
+]
+

models/config/database_config.py

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+from pydantic import BaseModel
+
+
+class DatabaseConfig(BaseModel):
+    host: str = "localhost"
+    port: int = 5432
+    database: str = "gps_denied"
+    username: str = "postgres"
+    password: str = ""
+    pool_size: int = 50
+    max_overflow: int = 50
+    pool_timeout: int = 30
+    pool_recycle: int = 3600
+

models/config/flight_config.py

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+from typing import Optional
+from pydantic import BaseModel
+from ..core.camera_parameters import CameraParameters
+from ..core.gps_point import GPSPoint
+
+
+class OperationalArea(BaseModel):
+    name: str = "Eastern Ukraine"
+    min_lat: float = 45.0
+    max_lat: float = 52.0
+    min_lon: float = 22.0
+    max_lon: float = 40.0
+
+
+class FlightConfig(BaseModel):
+    camera_params: CameraParameters
+    altitude: float
+    operational_area: OperationalArea = OperationalArea()
+    frame_spacing: float = 100.0
+

models/config/model_config.py

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+from pydantic import BaseModel
+
+
+class ModelConfig(BaseModel):
+    model_name: str
+    model_path: str
+    format: str = "tensorrt"
+    precision: str = "fp16"
+    warmup_iterations: int = 3
+

models/config/recovery_config.py

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+from pydantic import BaseModel
+
+
+class RecoveryConfig(BaseModel):
+    search_grid_sizes: list[int] = [1, 4, 9, 16, 25]
+    min_chunk_frames_for_matching: int = 5
+    max_chunk_frames_for_matching: int = 20
+    user_input_threshold_tiles: int = 25
+    chunk_matching_interval_seconds: float = 5.0
+    confidence_threshold_good: float = 0.7
+    confidence_threshold_degraded: float = 0.5
+    min_inlier_count_good: int = 50
+    min_inlier_count_tracking: int = 20
+

models/config/rotation_config.py

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+from pydantic import BaseModel
+
+
+class RotationConfig(BaseModel):
+    step_angle: float = 30.0
+    sharp_turn_threshold: float = 45.0
+    confidence_threshold: float = 0.7
+    history_size: int = 10
+
+    @property
+    def rotation_iterations(self) -> int:
+        return int(360 / self.step_angle)
+

models/config/system_config.py

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+from pydantic import BaseModel
+from ..core.camera_parameters import CameraParameters
+from .database_config import DatabaseConfig
+from .flight_config import OperationalArea
+
+
+class ModelPaths(BaseModel):
+    superpoint: str = "models/superpoint.engine"
+    lightglue: str = "models/lightglue.engine"
+    dinov2: str = "models/dinov2.engine"
+    litesam: str = "models/litesam.engine"
+
+
+class APIConfig(BaseModel):
+    host: str = "0.0.0.0"
+    port: int = 8000
+    debug: bool = False
+
+
+class SystemConfig(BaseModel):
+    camera: CameraParameters
+    operational_area: OperationalArea = OperationalArea()
+    models: ModelPaths = ModelPaths()
+    database: DatabaseConfig = DatabaseConfig()
+    api: APIConfig = APIConfig()
+