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发表于 2022-5-20 10:27:14
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dst : uses masks derived from the shape of the landmarks generated during data_dst faceset/dataset extraction.
learned-prd : uses masks learned during training. Keep shape of SRC faces.
learned-dst : uses masks learned during training. Keep shape of DST faces.
learned-prd*dst : combines both masks, smaller size of both.
learned-prd dst : combines both masks, bigger size of both.
XSeg-prd : uses XSeg model to mask using data from source faces.
XSeg-dst : uses XSeg model to mask using data from destination faces.
XSeg-prd*XSeg-dst : combines both masks, smaller size of both.
learned-prd*dst*XSeg-dst*prd : Learned-prd * dst * XSeg-dst * prd:combines all 4 mask modes, smaller size of all.
说明是这麽写的 |
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