lyzsdbd

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![Image](https://github.com/user-attachments/assets/ee595809-be60-44c3-888c-308a9afdd8dc)

import torch import time from vggt.models.vggt import VGGT from vggt.utils.load_fn import load_and_preprocess_images device = "cuda" if torch.cuda.is_available() else "cpu" dtype = torch.bfloat16 if torch.cuda.get_device_capability()[0] >= 8 else torch.float16 model =...

This is my code now in eval mode. It still costs 0.79 seconds.

Thanks for your answer. I now think that VGGT is unusable on real-time embedded platforms like drones. Because I don't think Jetson Orin NX will do much better than my...