MINTIME-Multi-Identity-size-iNvariant-TIMEsformer-for-Video-Deepfake-Detection
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What is a good parameter set for face detection?
I set thresholds=[0.35, 0.45, 0.45] but there are still some faces not detected for the validation dataset in ForgeryNet, is there a way to still run the test.py with some missing faces?
https://github.com/davide-coccomini/MINTIME-Multi-Identity-size-iNvariant-TIMEsformer-for-Video-Deepfake-Detection/assets/3944204/52182a9e-c73f-4cc7-9996-a5dfb8eb901a
Looks like some video in the validation dataset is just blank, this one is test/18/94bd1e3f74443f5d9a121fa21a3bb72c/video.mp4