mirror of
https://github.com/facefusion/facefusion.git
synced 2026-07-06 18:47:54 +02:00
henryruhs
44 lines
1.0 KiB
Python
44 lines
1.0 KiB
Python
import threading
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import numpy
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import opennsfw2
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from PIL import Image
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from keras import Model
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from facefusion.typing import Frame
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PREDICTOR = None
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THREAD_LOCK = threading.Lock()
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MAX_PROBABILITY = 0.75
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def get_predictor() -> Model:
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global PREDICTOR
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with THREAD_LOCK:
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if PREDICTOR is None:
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PREDICTOR = opennsfw2.make_open_nsfw_model()
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return PREDICTOR
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def clear_predictor() -> None:
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global PREDICTOR
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PREDICTOR = None
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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 = numpy.expand_dims(image, axis = 0)
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_, probability = get_predictor().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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return opennsfw2.predict_image(target_path) > 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)
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return any(probability > MAX_PROBABILITY for probability in probabilities)
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