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Developing a piracy detection system that can identify whether a given video is pirated or not accurately and efficiently. It system uses a Isolation Forest Model to detect anomalies in a video and display an anomaly graph with an average anomaly score. This score is later used to predict whether the video is pirated or not.
Implemented using Python and various libraries :scikit learn, OpenCV, Matplotlib to detect anomalies in a video by creating color histograms, edge histograms and calculation blurriness of the video by using Laplacians function