Yaswanth Gali
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1750c518dd
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✨ Add EoMT Model || 🚨 Fix Mask2Former loss calculation (#37610)
* Initial Commit
* up
* More changes
* up
* Only mask_logits mismatch
* close enough logits debug later
* fixes
* format
* Add dummy loss
* Close enough processing for semantic seg
* nit
* Added panoptic postprocessor
* refactor
* refactor
* finally fixed panoptic postprocessor
* temp update
* Refactor ForUniversalSegmentation class
* nits and config update
* Few fixes and inference matches
* change mapping
* Added training support but loss slightly off 🥲
* Loss is matching 😀
* update
* Initial tests skelton
* changes
* tests update
* more modular
* initial tests
* updates
* better docstrings
* changes
* proc tests passing :)
* Image processor update
* tiny change
* QOL changes
* Update test w.r.t latest attn refactor
* repo-consistency fixes
* up
* Image proc fix and integration tests :)
* docs update
* integration tests
* fix
* docs update 🥰
* minor fix
* Happy CI
* fix
* obvious refactoring
* refactoring w.r.t review
* Add fask image proc skelton
* Fast Image proc and cleanups
* Use more modular
* tests update
* Add more tests
* Nit
* QOL updates
* change init_weights to torch default
* add eager func coz of make style
* up
* changes
* typo fix
* Updates
* More deterministic tests
* More modular
* go more modular 🚀
* up
* dump
* add supprot for giant ckpts
* overhaul
* modular
* refactor
* instace seg is ready
* cleanup
* forgot this
* docs cleanup
* minor changes
* EoMT - > Eomt
* Happy CI
* remove redundant comment
* Change model references
* final change
* check annealing per block
* My other PR changes 😂
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Co-authored-by: Cyril Vallez <cyril.vallez@huggingface.co>
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2025-06-27 14:18:18 +02:00 |
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