Add camie tagger.
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@@ -12,8 +12,7 @@ pip install -r requirements.txt
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## usage
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```
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usage: run.py [-h] (--dir DIR | --file FILE) [--threshold THRESHOLD] [--ext EXT] [--overwrite] [--cpu] [--rawtag] [--recursive] [--exclude-tag t1,t2,t3]
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[--model {wd14-vit.v1,wd14-vit.v2,wd14-convnext.v1,wd14-convnext.v2,wd14-convnextv2.v1,wd14-swinv2-v1,wd-v1-4-moat-tagger.v2,wd-v1-4-vit-tagger.v3,wd-v1-4-convnext-tagger.v3,wd-v1-4-swinv2-tagger.v3,mld-caformer.dec-5-97527,mld-tresnetd.6-30000}]
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usage: run.py [-h] (--dir DIR | --file FILE) [--threshold THRESHOLD] [--ext EXT] [--overwrite] [--cpu] [--rawtag] [--recursive] [--exclude-tag t1,t2,t3] [--model MODELNAME]
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options:
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-h, --help show this help message and exit
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@@ -28,8 +27,7 @@ options:
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--recursive Enable recursive file search
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--exclude-tag t1,t2,t3
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Specify tags to exclude (Need comma-separated list)
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--model {wd14-vit.v1,wd14-vit.v2,wd14-convnext.v1,wd14-convnext.v2,wd14-convnextv2.v1,wd14-swinv2-v1,wd-v1-4-moat-tagger.v2,wd-v1-4-vit-tagger.v3,wd-v1-4-convnext-tagger.v3,wd-v1-4-swinv2-tagger.v3,mld-caformer.dec-5-97527,mld-tresnetd.6-30000}
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modelname to use for prediction (default is wd14-convnextv2.v1)
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--model MODELNAME modelname to use for prediction (default is wd14-convnextv2.v1)
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```
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single file
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@@ -47,33 +45,36 @@ python run.py --dir dir/dir
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## Support Models
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```
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# Camie Tagger (released 2025)
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python run.py --model camie-tagger --file image.jpg
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# SmilingWolf large model. (released 2024)
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python run.py --file image.jpg --model wd-vit-large-tagger-v3
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python run.py --file image.jpg --model wd-eva02-large-tagger-v3
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python run.py --model wd-vit-large-tagger-v3 --file image.jpg
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python run.py --model wd-eva02-large-tagger-v3 --file image.jpg
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# SmilingWolf v3 model. (released 2024)
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python run.py --file image.jpg --model wd-v1-4-vit-tagger.v3
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python run.py --file image.jpg --model wd-v1-4-convnext-tagger.v3
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python run.py --file image.jpg --model wd-v1-4-swinv2-tagger.v3
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python run.py --model wd-v1-4-vit-tagger.v3 --file image.jpg
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python run.py --model wd-v1-4-convnext-tagger.v3 --file image.jpg
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python run.py --model wd-v1-4-swinv2-tagger.v3 --file image.jpg
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# SmilingWolf v2 model. (released 2023)
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python run.py --file image.jpg --model wd-v1-4-moat-tagger.v2
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python run.py --file image.jpg --model wd14-vit.v2
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python run.py --file image.jpg --model wd14-convnext.v2
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python run.py --model wd-v1-4-moat-tagger.v2 --file image.jpg
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python run.py --model wd14-vit.v2 --file image.jpg
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python run.py --model wd14-convnext.v2 --file image.jpg
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# SmilingWolf v1 model. (released 2022)
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python run.py --file image.jpg --model wd14-vit.v1
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python run.py --file image.jpg --model wd14-convnext.v1
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python run.py --file image.jpg --model wd14-convnextv2.v1
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python run.py --file image.jpg --model wd14-swinv2-v1
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python run.py --model wd14-vit.v1 --file image.jpg
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python run.py --model wd14-convnext.v1 --file image.jpg
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python run.py --model wd14-convnextv2.v1 --file image.jpg
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python run.py --model wd14-swinv2-v1 --file image.jpg
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# Z3D-E621-Convnext
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python run.py --file image.jpg --model z3d-e621-convnext-toynya
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python run.py --file image.jpg --model z3d-e621-convnext-silveroxides
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python run.py --model z3d-e621-convnext-toynya --file image.jpg
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python run.py --model z3d-e621-convnext-silveroxides --file image.jpg
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# kiriyamaX model.
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python run.py --file image.jpg --model mld-caformer.dec-5-97527
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python run.py --file image.jpg --model mld-tresnetd.6-30000
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python run.py --model mld-caformer.dec-5-97527 --file image.jpg
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python run.py --model mld-tresnetd.6-30000 --file image.jpg
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```
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## Using GPU
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