File size: 1,471 Bytes
c4db8d2 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 | from dataclasses import dataclass, field
from pathlib import Path
from typing import Optional
import numpy as np
from .params import AnalysisParameters
@dataclass
class BubbleData:
frame_name: str
bubble_id: int
diameter_um: float
volume_um3: float
area_px: float
centroid_x: float # column (image x)
centroid_y: float # row (image y)
circularity: float
aspect_ratio: float
is_valid: bool = True
@dataclass
class FrameResult:
frame_name: str
num_bubbles: int
num_rejected: int
bubbles: list = field(default_factory=list)
mask: Optional[np.ndarray] = None
image_path: Optional[Path] = None
@dataclass
class AnalysisResults:
sample_name: str
frames: list = field(default_factory=list)
all_bubbles: list = field(default_factory=list)
parameters: AnalysisParameters = field(default_factory=AnalysisParameters)
@property
def diameters(self) -> np.ndarray:
return np.array([b.diameter_um for b in self.all_bubbles if b.is_valid])
@property
def volumes(self) -> np.ndarray:
return np.array([b.volume_um3 for b in self.all_bubbles if b.is_valid])
@property
def num_frames(self) -> int:
return len(self.frames)
@property
def total_bubbles(self) -> int:
return len([b for b in self.all_bubbles if b.is_valid])
@property
def total_rejected(self) -> int:
return sum(f.num_rejected for f in self.frames)
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