PaGE gaze-target estimation (DINOv3 ViT-S+ towers, 73M parameters), repackaged for LibreYOLO. Predicts,
per person, a 64x64 heatmap of where in the scene that person is looking
plus an in/out-of-frame probability.
Derived from
OctopusWen/PaGE
at commit
4352bead,
sourced from the upstream HuggingFace release
Octopus1/page-vitsplus
(paper:
arXiv:2607.04860).
Copyright (c) 2026 Zhoutong Ye / PaGE Authors. The PaGE decoder is licensed
under the MIT License.
The tower parameters are derivatives of
facebookresearch/dinov3
(produced by full-parameter training of DINOv3) and remain governed by the
DINOv3 License: commercial use is permitted, but any
redistribution must include the license text, and the weights cannot be
relicensed as plain MIT.
State-dict key normalization only (the transformers-5.x nested DINOv3
layer naming is flattened to LibreYOLO's canonical form). Learned
parameters are unchanged. See
weights/convert_page_weights.py in the
LibreYOLO source repository.
1from libreyolo import LibreYOLO
2
3model = LibreYOLO("LibrePAGEsp-gazetarget.pt")
4r = model("scene.jpg") # auto head detection
5r = model("scene.jpg", head_boxes=[(x1, y1, x2, y2)]) # BYO head boxes
6print(r.gazetarget.xy, r.gazetarget.inout) # targets + in-frame prob
MIT (decoder) + DINOv3 License (towers). See
LICENSE,
DINOv3_LICENSE.md and
NOTICE.
