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As you say that the high-quality anime scene dataset comprises 5,958 images, but I follow the Scenimefy/Anime_dataset/README.md, obtaining 5151 cartoon images. If I were to manually filter the dataset again, the number of images used for training would be even smaller. Why did you get 5958 images.
The text was updated successfully, but these errors were encountered:
Hii thank you for your interest! There's no need to further filter the dataset. I double-checked the JSON file, and there are indeed 1986 frame indices. Could you please check if you’ve extracted frames from all 9 movies? Also, are there any printout insights when you run the frame_extract.py script? If issues still persist, I can help test from my side. Thanks!
As you say that the high-quality anime scene dataset comprises 5,958 images, but I follow the Scenimefy/Anime_dataset/README.md, obtaining 5151 cartoon images. If I were to manually filter the dataset again, the number of images used for training would be even smaller. Why did you get 5958 images.
The text was updated successfully, but these errors were encountered: