# Retrainable RTMO-s Model
This repository provides a fully **retrainable** RTMO-s checkpoint for 2D human pose estimation in the MMPOSE framework.
The RTMO one-stage model family (variants T, S, M, L) was originally released by the OpenMMLab team with pre-trained weights, but those official PyTorch `.pth` checkpoints do **not** preserve all parameter keys—making fine-tuning or re-training impossible within MMPOSE (see [discussion #3076](https://github.com/open-mmlab/mmpose/discussions/3076)).
To address this limitation, PESI has faithfully reproduced the RTMO-s training procedure on the MS COCO 2017 dataset using the exact configuration from the official MMPOSE RTMO project. Our checkpoint preserves every model key, enabling you to fine-tune on custom datasets (e.g. Body7, MPII) or continue training from this strong baseline.
- **Original implementation & configs**: [MMPOSE RTMO project](https://github.com/open-mmlab/mmpose/tree/main/projects/rtmo)
- **Issue on missing keys**:…
