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caiotheodoro/cyclegraph-flow-gain

cyclegraph flow gain How much of a hand's motion a dense optical flow estimator actually recovers, and what it reports instead once it stops. Rendered under the corpus's own fisheye, where the true flow field is known exactly, which is the only reason a gain is measurable at all. The finding, in one line: past a displacement knee the estimator reports the background, at a gain equal to hand distance over background distance (0.45 / 2.5 = 0.18) — and the ego-motion correction… See the full description on the dataset page: https://huggingface.co/datasets/caiotheodoro/cyclegraph-flow-gain.

sourceHugging Faceapache-2.0updated 19d agoView on Hugging Face
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cd8e00c19d ago

The flow-gain benchmark: five configs, the generator, and the harness

caiotheodoro
7a0c85019d ago

initial commit

caiotheodoro