MixFormerV2 (hassas takip modeli) — bu pakette DEĞİL, ilk kullanımda indirilir.

Model:   MixFormerV2-S  (Cui, Song, Wu, Wang — "MixFormerV2: Efficient Fully Transformer Tracking", NeurIPS 2023)
Kaynak:  https://github.com/MCG-NJU/MixFormerV2  (MIT License)
ONNX:    https://huggingface.co/AXERA-TECH/MixFormerV2  (MIT), dosya onnx/mixformer_v2_sim.onnx
SHA-256: 9863932c9d18e6c75adcbec1871d293440bd350bc08f76707ca8088312e2175c
