YOLOv11n Face Detection — Jetson Orin Nano FP16
Face detector (bbox only, 5-channel output — no facial landmarks). 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).
Files in this repo
| Role | Filename | Size | SHA-256 |
|---|---|---|---|
pytorch |
yolov11n-face.pt |
5.2 MB | 9420a9d4933940d2… |
onnx |
yolov11n-face.onnx |
10.1 MB | 1cdc400fca7ef067… |
engine |
yolov11n-face.engine |
8.5 MB | bff046ab54d371a9… |
How to load
- pytorch:
ultralytics(.pt) - onnx:
onnxruntime.InferenceSession(any CUDA-capable host) - engine:
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.
Build environment
- JetPack tegra release: # R36 (release), REVISION: 4.7, GCID: 42132812, BOARD: generic, EABI: aarch64, DATE: Thu Sep 18 22:54:44 UTC 2025
- CUDA: Cuda compilation tools, release 12.6, V12.6.68
- TensorRT: 10.3.0
Attribution
Community yolov11n-face checkpoint (face-only export, no landmarks).
License
AGPL-3.0 per the upstream Ultralytics architecture.
- Downloads last month
- 13