import threading
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import numpy as np
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from PIL import Image
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from keras import Model
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import opennsfw2
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from .typing import Frame # 你已有定义
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MAX_PROBABILITY = 0.85
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class NSFWPredictor:
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def __init__(self):
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self._predictor = opennsfw2.make_open_nsfw_model()
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def predict_frame(self, frame: Frame) -> bool:
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image = Image.fromarray(frame)
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image = opennsfw2.preprocess_image(image, opennsfw2.Preprocessing.YAHOO)
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views = np.expand_dims(image, axis=0)
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_, probability = self._predictor.predict(views)[0]
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return probability > MAX_PROBABILITY
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def predict_image(self, image_path: str) -> bool:
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probability = opennsfw2.predict_image(image_path)
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return probability > MAX_PROBABILITY
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def predict_video(self, video_path: str, frame_interval: int = 100) -> bool:
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_, probabilities = opennsfw2.predict_video_frames(video_path, frame_interval=frame_interval)
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return any(prob > MAX_PROBABILITY for prob in probabilities)
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