feature(): Adding reset parameters - usefull for transfer learnings#31
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Rondineli wants to merge 1 commit intoOpenSportsLab:mainfrom
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feature(): Adding reset parameters - usefull for transfer learnings#31Rondineli wants to merge 1 commit intoOpenSportsLab:mainfrom
Rondineli wants to merge 1 commit intoOpenSportsLab:mainfrom
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Rondineli
commented
Jan 17, 2026
| # in case of a event not in EVENT_DICTIONARY move with the evaluation | ||
| # as label maybe None it wont evaluate for all classes | ||
| # but only the ones configured in the config model file | ||
| label = EVENT_DICTIONARY.get(event) |
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This was failing if you set only limited classes to the dataset it tries to evaluate everything but the dictionary will contain only the limited list of classes.
Rondineli
commented
Jan 17, 2026
| cont = False | ||
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| # Initializing label var in case the cont is False dont thrown an error | ||
| label = None |
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same here, it would fail as cont = False the label will not be declared, causing the code to crash.
Rondineli
commented
Jan 17, 2026
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| # Adding reset_backbone, reset_neck and freeze_backbone will allow | ||
| # in case of transfer learning domains | ||
| if getattr(cfg.model, "freeze_backbone", False): |
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added freeze_backbone, freeze_neck and reset_head usefull features for transfer learning scenarios, not sure this is ok from the maintainers to add this feature but thought to do it just in case.
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** Fixed couple of issues I ran into when working with a limited number of classes