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ilastik / hytra

Python module for multi HYpotheses TRAcking
https://github.com/ilastik/hytra
MIT License
2 stars 7 forks source link

Skip links gaps #11

Closed LetiP closed 7 years ago

LetiP commented 7 years ago

Introduce the Skip Links to the Hypotheses Graph, that jump over i>2 frames.

Because we want the normal links to be favored though, we impose a greater energy for the SkipLinks than for the normal ones.

Solution now: works without any extra multiplicative parameter from structured learning (in weights.json), but has a bias parameter --skip-links-bias (see /scripts/hypotheses_graph_to_json.py).

Commented out solution: extra parameter in weights.json. In contrast to the bias parameter, that was easily found, did not manage to find a sensible value for the multiplicative extra parameter (yet?).

chaubold commented 7 years ago

Oh and one more thing: could you please add a test to tests/core/test_hypothesesgraph.py for the skip links? Then we'll know whether it still works after merging it with master.