Files (keep this directory layout -- scripts resolve imports via the parent dir): For each clip, DA3 (Depth-Anything-3) is run once over the full 77-frame GT video and once over the model's output.mp4, giving one W2C extrinsic per frame per side. Trajectories are made first-frame-relative and translation-normalized, then RotErr / TransErr / CamMC are computed (calcroterr, calctranserr, calccammc in evalcamerada3.py; math adapted from SWMbench). Per-model result = mean over clips (and per split Real/Syn). - Python env with torch, opencv-python, numpy, Pillow - depthanything3 package (Depth-Anything-3) and the checkpoint depth-anything/DA3NESTED-GIANT-LARGE-1.1 (auto-downloaded from the HF…
Independent publisher
HyunsungKim
kimhosoo
Models in Library1
Datasets in Library0
Models on Hugging Face9
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