| LibreHRNetw32-pose weights |
| ========================== |
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| These weights derive from the official HRNet pose model zoo in |
| https://github.com/leoxiaobin/deep-high-resolution-net.pytorch at commit |
| 6f69e4676ad8d43d0d61b64b1b9726f0c369e7b1. |
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| 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. |
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| Official source: pose_hrnet_w32_256x192.pth |
| Source SHA-256: 19bc083708bb8d873211e50d85d56344c10290c6e8b564c813fdde09645c4c1c |
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| 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. |
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| Converted file: LibreHRNetw32-pose.pt |
| Converted SHA-256: c9d8eb383e63ce795f87a3ee2f2b0c8aa0df9bae981573ec4b3909d63815a825 |
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| See LICENSE for the verbatim upstream MIT license. |
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