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video-anomaly-detection-with-videomae
A Python program to detect anomalies in videos using the VideoMAEForPreTraining model. It processes videos by dividing them into 16-frame clips, extracts embeddings using an unmasked boolean mask, and compares them against a normal behavior profile using Mean Squared Error (MSE).
maintainer
ECNU-ICALK
آخر تحديث 3/16/2026
النجوم
304
التفرعات
34
quick start
Installation and usage
A Python program to detect anomalies in videos using the VideoMAEForPreTraining model. It processes videos by dividing them into 16-frame clips, extracts embeddings using an unmasked boolean mask, and compares them against a normal behavior profile using Mean Squared Error (MSE).
التثبيت
$ install --globalskills.sh
الاستخدام
بعد التثبيت، يمكنك استخدام هذه المهارة بتشغيل الأمر التالي في الطرفية:
skills use video-anomaly-detection-with-videomae