LibreGTRl-pose
GTR-L COCO person keypoint (pose) weights converted for LibreYOLO.
GTR support is being prepared for LibreYOLO v1.6.0. Earlier PyPI releases may not include this model family.
Usage
With a LibreYOLO version that includes GTR pose:
from libreyolo import LibreYOLO
model = LibreYOLO("LibreGTRl-pose.pt")
results = model.predict("image.jpg")
keypoints = results[0].keypoints # (N, 17, 3)
The default input is 640 by 640 pixels. This checkpoint supports pose with the 17 COCO person keypoints.
Source
Official GTR implementation,
source revision 782e737efe2e6437ac537fbdcee089673d3376c1.
Published checkpoint,
weight repository revision 9fc62c8c2b2c976835d0f1c1ffc544dbc0f9e29f.
Copyright (c) 2026 Intellindust-AI-Lab. The source code is MIT licensed and the
publisher's weight repository explicitly declares MIT.
Modifications
Selected the EMA state dict and added LibreYOLO schema v1.0 metadata.
Learned parameters and state-dict keys are unchanged. Training/optimizer state
was removed. Conversion uses weights/convert_gtr_weights.py in the
LibreYOLO source repository.
Validation
Checkpoint schema, exact tensor preservation, strict loading, CPU prediction and CPU agreement with the pinned upstream pose graph were checked for this artifact. CUDA parity, independent COCO keypoint accuracy and GPU training validation are deferred to the LibreYOLO v1.6.0 release checks. No independently reproduced accuracy or latency numbers are claimed here.