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xvyv99/aggpose-lite
aggpose-lite is a keypoint detection model from xvyv99. Use it for the keypoint detection task on the model card, and read the license before you ship it in a product. The card lists the license as agpl-3.0.
AggPose Lite provides deployment-ready model artifacts for AggPose-L 256x192 COCO-style top-down human pose estimation.
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Updated Jul 2, 2026
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.safetensors668 MB · 90%
From the Hugging Face model README
AggPose Lite provides deployment-ready model artifacts for AggPose-L 256x192 COCO-style top-down human pose estimation.
This repository contains:
safetensors checkpoint converted from the original AggPose-L COCO model;xvyv99/aggpose-lite codebase.
The project is based on the upstream PediaMedAI/AggPose implementation.| File | Variant | Format | Intended Use |
|---|---|---|---|
AggPose-L_256x192_COCO2017.safetensors | D40 | PyTorch / safetensors | Full AggPose-L COCO checkpoint |
AggPose-L-D24-train32k-distilled.safetensors | D24 | PyTorch / safetensors | Depth-pruned distilled student |
openvino/AggPose-L-D24-train32k-distilled.static-b4-map-mlp.int8.mixed.cpu.xml | D24 | OpenVINO IR | Recommended CPU deployment model |
openvino/AggPose-L-D24-train32k-distilled.static-b4-map-mlp.int8.mixed.cpu.bin | D24 | OpenVINO weights | Weight file required by the .xml model |
For CPU-oriented offline batch inference, the recommended artifact is:
openvino/AggPose-L-D24-train32k-distilled.static-b4-map-mlp.int8.mixed.cpu.xml
The corresponding .bin file must stay in the same directory.
This model repository is licensed under the AGPL-3.0 License, consistent with the upstream PediaMedAI/AggPose project.