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Keep three production model artifacts

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README.md DELETED
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- ---
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- license: other
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- library_name: pytorch
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- tags:
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- - mahjong
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- - object-detection
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- - image-segmentation
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- - image-classification
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- ---
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-
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- # Mahjong recognition models
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-
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- Model artifacts selected from the `HaseLab/mahjong-cg` training runs.
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-
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- | File | Role |
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- |---|---|
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- | `grouping/region-yolo26n-seg.pt` | First-stage YOLO26n segmentation model for hand, discard, meld, dora, riichi, and table regions |
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- | `grouping/tile-yolo26n-seg.pt` | Second-stage single-class YOLO26n segmentation model for tiles inside region crops |
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- | `classifier/resnet50.pt` | Legacy 38-output ResNet-50 tile-face classifier |
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- | `classifier/best_mahjong_resnet50.pt` | Copy of the legacy ResNet-50 checkpoint retained under its original artifact name |
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- | `grouping/best40.pt` | Legacy 40-class model retained under its original artifact name |
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-
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- The current two-stage pipeline uses:
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-
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- 1. `grouping/region-yolo26n-seg.pt`
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- 2. `grouping/tile-yolo26n-seg.pt`
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- 3. `classifier/resnet50.pt`
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-
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- The legacy ResNet checkpoint has 38 outputs without embedded class metadata.
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- Its output indices follow lexicographic ImageFolder order:
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-
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- ```text
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- 0m, 0p, 0s, 0z, 1m, 1p, 1s, 1z, ... , 9m, 9p, 9s
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- ```
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-
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- New classifier checkpoints produced by `mahjong-cg` contain an explicit
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- `classes` array and include the `back` class.
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-
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- ## Source
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-
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- Training and inference code:
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- https://github.com/haselab-dev/mahjong-cg
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
classifier/best_mahjong_resnet50.pt → classifier-resnet50.pt RENAMED
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grouping/.gitkeep DELETED
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grouping/best40.pt DELETED
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grouping/region-yolo26n-seg.pt → regions-yolo-26n.pt RENAMED
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grouping/tile-yolo26n-seg.pt → tile-yolo-26n.pt RENAMED
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