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uyiosa/yolo11n-pose-jetson-orin
yolo11n-pose-jetson-orin is a machine learning model from uyiosa. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for tensorrt. The card lists the license as other.
Single-class person pose with 17 COCO keypoints. PyTorch + ONNX + TensorRT FP16 engine.
Downloads · 30 days
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.onnx11.9 MB · 43%
From the Hugging Face model README
Single-class person pose with 17 COCO keypoints. PyTorch + ONNX + TensorRT FP16 engine.
This is a private mirror prepared for the robot_perception_scoring project (github.com/JSBAICenter/Nvidia_Edge_work_arounds, branch orin_yolo). It bundles the original source weights together with an ONNX export and a TensorRT FP16 engine built on a Jetson Orin Nano (8 GB).
| Role | Filename | Size | SHA-256 |
|---|---|---|---|
pytorch | yolo11n-pose.pt | 6.0 MB | 869e83fcdffdc737… |
onnx | yolo11n-pose.onnx | 11.3 MB | a3a77624613bf6bc… |
engine | yolo11n-pose.engine | 9.2 MB | f24d5df9823752cc… |
ultralytics (.pt)onnxruntime.InferenceSession (any CUDA-capable host)tensorrt.Runtime.deserialize_cuda_engine (Jetson Orin Nano only)The .engine artifact is hardware-specific to Jetson Orin Nano (Ampere sm_87, TensorRT 10.3, CUDA 12.6, FP16). It will not load on other Jetson families, other TensorRT versions, or x86 GPUs. Other users should rebuild from the .onnx via python -m tools.build_engines in the linked GitHub repo.
Ultralytics YOLOv11n-pose (https://github.com/ultralytics/ultralytics).
AGPL-3.0 per Ultralytics.