PhotoHolmes: a Python library for forgery detection in digital images

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Chi tiết về thư mục
Xuất bản năm:	arXiv.org (Dec 19, 2024), p. n/a
Tác giả chính:	O'Flaherty, Julián
Tác giả khác:	Paganini, Rodrigo, Juan Pablo Sotelo, Umpiérrez, Julieta, Gardella, Marina, Tailanian, Matías, Musé, Pablo
Được phát hành:	Cornell University Library, arXiv.org
Những chủ đề:	Modularity Digital imaging Datasets Python Source code Line interfaces Benchmarks
Truy cập trực tuyến:	Citation/Abstract Full text outside of ProQuest
Các nhãn:	Thêm thẻ Không có thẻ, Là người đầu tiên thẻ bản ghi này!

Miêu tả
Bài tóm tắt:	In this paper, we introduce PhotoHolmes, an open-source Python library designed to easily run and benchmark forgery detection methods on digital images. The library includes implementations of popular and state-of-the-art methods, dataset integration tools, and evaluation metrics. Utilizing the Benchmark tool in PhotoHolmes, users can effortlessly compare various methods. This facilitates an accurate and reproducible comparison between their own methods and those in the existing literature. Furthermore, PhotoHolmes includes a command-line interface (CLI) to easily run the methods implemented in the library on any suspicious image. As such, image forgery methods become more accessible to the community. The library has been built with extensibility and modularity in mind, which makes adding new methods, datasets and metrics to the library a straightforward process. The source code is available at https://github.com/photoholmes/photoholmes.
số ISSN:	2331-8422
Nguồn:	Engineering Database