43 lines
1.1 KiB
Python
43 lines
1.1 KiB
Python
from pydantic import BaseModel
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import numpy as np
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import cv2
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class KnownImagePoint(BaseModel):
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width: float
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height: float
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@classmethod
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def from_vec(cls, vec: tuple[float, float]) -> 'KnownImagePoint':
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return cls(width=vec[0], height=vec[1])
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class BirdViewPoint(BaseModel):
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x: float
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y: float
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@classmethod
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def from_vec(cls, vec: tuple[float, float]) -> 'BirdViewPoint':
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return cls(x=vec[0], y=vec[1])
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class KnownPoint(BaseModel):
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image: KnownImagePoint
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bird_view: BirdViewPoint
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class VideoMetadata(BaseModel):
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knownPoints: list[KnownPoint]
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def get_view_perspective_matrix(self) -> np.ndarray | None:
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if len(self.knownPoints) != 4:
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return None
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empirical_source = np.float32(
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[[k.image.width, k.image.height] for k in self.knownPoints])
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empirical_target = np.float32(
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[[k.bird_view.x, k.bird_view.y] for k in self.knownPoints])
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pixel_per_meter = 100
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return cv2.getPerspectiveTransform(empirical_source,
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empirical_target * pixel_per_meter)
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