quantized duplicated precisions.json, which is authoritative for the
quantized/non-quantized partition. default expressed a per-repository
recommendation nothing consumed: the library resolves its own per-platform
default. Both are gone from the schema.
Put the backend directories back at the repo root
yolo26 and yolo26-seg use a top level size directory because they publish
five sizes. This repo publishes one, so it stays flat, like blazeface and
rfdetr-nano-detector. The corrected configs from the previous commit are
unaffected.
Move the size-n exports under n/ and rewrite the backend configs
Matches the yolo26 and yolo26-seg layout, where the model size is the top
level directory and the input resolution stays in the filename.
The xnnpack config described a single yolo26_pose_n_xnnpack_fp32.pte with
forward_384/512/640 methods. That file was never published here: the repo
ships three files, each with a single forward. Core ML had no config at all.
