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54 lines
1.6 KiB
Python
Executable file
54 lines
1.6 KiB
Python
Executable file
#!/usr/bin/env python3
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"""
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Copyright © 2024 Mia Herkt
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Licensed under the EUPL, Version 1.2 or - as soon as approved
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by the European Commission - subsequent versions of the EUPL
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(the "License");
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You may not use this work except in compliance with the License.
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You may obtain a copy of the license at:
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https://joinup.ec.europa.eu/software/page/eupl
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Unless required by applicable law or agreed to in writing,
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software distributed under the License is distributed on an
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"AS IS" basis, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND,
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either express or implied.
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See the License for the specific language governing permissions
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and limitations under the License.
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"""
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import sys
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import av
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from transformers import pipeline
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class NSFWDetector:
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def __init__(self):
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self.classifier = pipeline("image-classification",
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model="giacomoarienti/nsfw-classifier")
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def detect(self, fpath):
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try:
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with av.open(fpath) as container:
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try:
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container.seek(int(container.duration / 2))
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except: container.seek(0)
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frame = next(container.decode(video=0))
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img = frame.to_image()
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res = self.classifier(img)
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return max([x["score"] for x in res
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if x["label"] not in ["neutral", "drawings"]])
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except: pass
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return -1.0
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if __name__ == "__main__":
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n = NSFWDetector()
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for inf in sys.argv[1:]:
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score = n.detect(inf)
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print(inf, score)
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