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[DITO] pre-computed embeddings

3

I want to test dito with my own classes and images, how can i compute text embedding for my own classes

in SOTS/tree/MOT/CSTrack/lib/core/mot/base_trainer.py，why scale and normalize embedding while training?  after training，just use ps_id to compute cosine distance？

does cstrack supports multi-gpu training?

test metric on custom dataset

5

I need to test metric on my dataset, i follow the instruction ( https://github.com/mlzxy/devit/issues/4) to build CLASS_PROTOTYPES, my dataset has 69 classes. I use the default BG_PROTOTYPES: "weights/initial/background/background_prototypes.vitl14.pth", i get...