ControlNet / LAV-DF

[CVIU] Glitch in the Matrix: A Large Scale Benchmark for Content Driven Audio-Visual Forgery Detection and Localization
https://www.sciencedirect.com/science/article/pii/S1077314223001984
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Evaluation on my custom dataset #25

Closed Sanzhen3 closed 4 months ago

Sanzhen3 commented 4 months ago

Thank you for your awesome work! Now, I want to evaluate my own data based on the provided ckpt of batfd_plus. My custom dataset does not have any more information except for the video itself.

Following the code in dataset/lavdf.py, I generate my own metadata.min.json, which is shown as follows: { "file": "test/Idexcwshaun1.mp4", "fake_periods": [], "split": "test", "video_frames": 287 }

But I have encountered many errors, such as in dataset/lavdf.py, model/batfd_plus.py.

Or could you help me to inference the single video for deepfake localizations based on batfd_plus?

Looking forward to your reply! Best wishes.