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19 lines
676 B
Python
19 lines
676 B
Python
import joblib
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import numpy as np
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from ml_gestures.feature_extractor import normalize_landmarks
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class MLGesturePredictor:
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def __init__(self, model_path, class_names):
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data = joblib.load(model_path)
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self.model = data['model']
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self.class_names = data['class_names']
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if 'none' not in self.class_names:
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self.class_names.append('none') # запасной вариант
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def predict(self, landmarks):
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features = normalize_landmarks(landmarks).reshape(1, -1)
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pred_id = self.model.predict(features)[0]
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if pred_id < len(self.class_names):
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return self.class_names[pred_id]
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return 'none'
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