## Fix & Improve the NSFW function
- Fixed incorrect state usage. - Removed the redundant argument that caused exceptions. - Prevented the app from closing when an image is flagged as NSFW.
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@@ -6,9 +6,11 @@ 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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model = None
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def predict_frame(target_frame: Frame) -> bool:
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global model
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if model is None: model = opennsfw2.make_open_nsfw_model()
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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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@@ -16,9 +18,9 @@ def predict_frame(target_frame: Frame) -> bool:
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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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probability = opennsfw2.predict_image(target_path)
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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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_, 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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