LibreHRNetw48-pose weights
==========================

These weights derive from the official HRNet pose model zoo in
https://github.com/leoxiaobin/deep-high-resolution-net.pytorch at commit
6f69e4676ad8d43d0d61b64b1b9726f0c369e7b1.

The upstream repository is MIT-licensed, Copyright (c) 2019 Leo Xiao. Its
adapted implementation files also carry: Copyright (c) Microsoft. Written by
Bin Xiao. The official model zoo attaches no separate per-file weight license,
so this mirror relies on the MIT license implied by the releasing project and
does not describe that basis as a checkpoint-specific grant.

Official source: pose_hrnet_w48_384x288.pth
Source SHA-256: 95e0fec3194826d5e3f806ea89be68bbb84517b114c3a32b3058c56610b5ef61

LibreYOLO wraps the original state dict with model-family, size, task, class,
input-shape, and COCO-17 keypoint metadata. Learned tensor keys, values, and
dtypes are unchanged.

Converted file: LibreHRNetw48-pose.pt
Converted SHA-256: ab85504f323c43babdcbed6550f759d323efd0ffc284a0593043e108cd3c4df5

See LICENSE for the verbatim upstream MIT license.