25 lines
884 B
Python
25 lines
884 B
Python
import numpy as np
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import opennsfw2
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from PIL import Image
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from modules.typing import Frame
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MAX_PROBABILITY = 0.85
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# Preload the model once for efficiency
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model = opennsfw2.make_open_nsfw_model()
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def predict_frame(target_frame: Frame) -> bool:
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image = Image.fromarray(target_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 = model.predict(views)[0]
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return probability > MAX_PROBABILITY
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def predict_image(target_path: str) -> bool:
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probability = opennsfw2.predict_image(target_path, model=model)
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return probability > MAX_PROBABILITY
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def predict_video(target_path: str) -> bool:
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_, probabilities = opennsfw2.predict_video_frames(video_path=target_path, frame_interval=100, model=model)
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return any(probability > MAX_PROBABILITY for probability in probabilities)
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