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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).

ECNU-ICALK
maintainer
ECNU-ICALK
Обновлено 3/16/2026
Звёзды
304
Форки
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).

Установка
$ install --globalskills.sh
Использование

После установки вы можете использовать этот skill, выполнив следующую команду в терминале:

skills use video-anomaly-detection-with-videomae