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perf: defer heavy api imports
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@ -3,13 +3,12 @@ from __future__ import annotations
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from pathlib import Path
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from typing import TYPE_CHECKING, Literal
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import numpy as np
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from soundevent import data
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if TYPE_CHECKING:
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from collections.abc import Sequence
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import numpy as np
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import torch
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from soundevent import data
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from batdetect2.audio import AudioConfig, AudioLoader
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from batdetect2.data import Dataset
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@ -313,6 +312,8 @@ class BatDetect2API:
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def get_top_class_name(self, detection: Detection) -> str:
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"""Get highest-confidence class name for one detection."""
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import numpy as np
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top_index = int(np.argmax(detection.class_scores))
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return self.targets.class_names[top_index]
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@ -368,6 +369,8 @@ class BatDetect2API:
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batch_size: int | None = None,
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detection_threshold: float | None = None,
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) -> ClipDetections:
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from soundevent import data
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from batdetect2.postprocess import ClipDetections
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recording = data.Recording.from_file(audio_file, compute_hash=False)
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