initial structure implemented

docs -> _docs

models/results/__init__.py

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+from .frame_result import FrameResult, ObjectLocation
+from .flight_results import FlightResults, FlightStatistics
+from .refined_frame_result import RefinedFrameResult
+from .optimization_result import OptimizationResult
+
+__all__ = [
+    "FrameResult",
+    "ObjectLocation",
+    "FlightResults",
+    "FlightStatistics",
+    "RefinedFrameResult",
+    "OptimizationResult",
+]
+

models/results/flight_results.py

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+from pydantic import BaseModel
+from .frame_result import FrameResult
+
+
+class FlightStatistics(BaseModel):
+    total_frames: int
+    processed_frames: int
+    refined_frames: int
+    mean_confidence: float
+    processing_time: float
+
+
+class FlightResults(BaseModel):
+    flight_id: str
+    frames: list[FrameResult]
+    statistics: FlightStatistics
+

models/results/frame_result.py

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+from datetime import datetime
+from pydantic import BaseModel
+from ..core.gps_point import GPSPoint
+
+
+class ObjectLocation(BaseModel):
+    object_id: str
+    pixel: tuple[float, float]
+    gps: GPSPoint
+    class_name: str
+    confidence: float
+
+
+class FrameResult(BaseModel):
+    frame_id: int
+    gps_center: GPSPoint
+    altitude: float
+    heading: float
+    confidence: float
+    timestamp: datetime
+    refined: bool = False
+    objects: list[ObjectLocation] = []
+    updated_at: datetime
+

models/results/optimization_result.py

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+from pydantic import BaseModel
+
+
+class OptimizationResult(BaseModel):
+    converged: bool
+    final_error: float
+    iterations_used: int
+    optimized_frames: list[int]
+    mean_reprojection_error: float = 0.0
+

models/results/refined_frame_result.py

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+from typing import Optional
+from pydantic import BaseModel
+from ..core.gps_point import GPSPoint
+
+
+class RefinedFrameResult(BaseModel):
+    frame_id: int
+    gps_center: GPSPoint
+    confidence: float
+    heading: Optional[float] = None
+