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YOLO-NAS-Pose-JetPack5

Object Detection
ONNX
Pose Estimation
YOLO-NAS-Pose
Jetson Orin
JetPack 5.1.1
TensorRT 8.5.2
Model card Files Community
YOLO-NAS-Pose-JetPack5 / README.md
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Luigi
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pipeline_tag: object-detection

We offer a TensorRT model in various precisions including int8, fp16, fp32, and mixed, converted from Deci-AI's YOLO-NAS-Pose pre-trained weights in PyTorch. This model is compatible with Jetson Orin Nano hardware.

Large

Model Name ONNX Precision TensorRT Preicion Throughput (TensorRT)
yolo_nas_pose_l_fp16.onnx.best.engine FP16 FP32+FP16+INT8 46.7231 qps
yolo_nas_pose_l_fp16.onnx.fp16.engine FP16 FP32+FP16 29.6093 qps
yolo_nas_pose_l_fp32.onnx.best.engine FP32 FP32+FP16+INT8 47.4032 qps
yolo_nas_pose_l_fp32.onnx.engine FP32 FP32 15.0654 qps
yolo_nas_pose_l_fp32.onnx.fp16.engine FP32 FP32+FP16 29.0005 qps
yolo_nas_pose_l_fp32.onnx.int8.engine FP32 FP32+INT8 47.9071 qps
yolo_nas_pose_l_int8.onnx.best.engine INT8 FP32+FP16+INT8 36.9695 qps
yolo_nas_pose_l_int8.onnx.int8.engine INT8 FP32+INT8 30.9676 qps

Medium

Model Name ONNX Precision TensorRT Preicion Throughput (TensorRT)
yolo_nas_pose_m_fp16.onnx.best.engine FP16 FP32+FP16+INT8 58.254 qps
yolo_nas_pose_m_fp16.onnx.fp16.engine FP16 FP32+FP16 37.8547 qps
yolo_nas_pose_m_fp32.onnx.best.engine FP32 FP32+FP16+INT8 58.0306 qps
yolo_nas_pose_m_fp32.onnx.engine FP32 FP32 18.9603 qps
yolo_nas_pose_m_fp32.onnx.fp16.engine FP32 FP32+FP16 37.193 qps
yolo_nas_pose_m_fp32.onnx.int8.engine FP32 FP32+INT8 59.9746 qps
yolo_nas_pose_m_int8.onnx.best.engine INT8 FP32+FP16+INT8 44.8046 qps
yolo_nas_pose_m_int8.onnx.int8.engine INT8 FP32+INT8 38.6757 qps

Small

Model Name ONNX Precision TensorRT Preicion Throughput (TensorRT)
yolo_nas_pose_s_fp16.onnx.best.engine FP16 FP32+FP16+INT8 84.7072 qps
yolo_nas_pose_s_fp16.onnx.fp16.engine FP16 FP32+FP16 66.0151 qps
yolo_nas_pose_s_fp32.onnx.best.engine FP32 FP32+FP16+INT8 85.5718 qps
yolo_nas_pose_s_fp32.onnx.engine FP32 FP32 33.5963 qps
yolo_nas_pose_s_fp32.onnx.fp16.engine FP32 FP32+FP16 65.4357 qps
yolo_nas_pose_s_fp32.onnx.int8.engine FP32 FP32+INT8 86.3202 qps
yolo_nas_pose_s_int8.onnx.best.engine INT8 FP32+FP16+INT8 74.2494 qps
yolo_nas_pose_s_int8.onnx.int8.engine INT8 FP32+INT8 63.7546 qps

Nano

Model Name ONNX Precision TensorRT Preicion Throughput (TensorRT)
yolo_nas_pose_s_fp16.onnx.best.engine FP16 FP32+FP16+INT8 91.8287 qps
yolo_nas_pose_s_fp16.onnx.fp16.engine FP16 FP32+FP16 85.4187 qps
yolo_nas_pose_s_fp32.onnx.best.engine FP32 FP32+FP16+INT8 105.519 qps
yolo_nas_pose_s_fp32.onnx.engine FP32 FP32 47.8265 qps
yolo_nas_pose_s_fp32.onnx.fp16.engine FP32 FP32+FP16 82.3834 qps
yolo_nas_pose_s_fp32.onnx.int8.engine FP32 FP32+INT8 88.0719 qps
yolo_nas_pose_s_int8.onnx.best.engine INT8 FP32+FP16+INT8 80.8271 qps
yolo_nas_pose_s_int8.onnx.int8.engine INT8 FP32+INT8 74.2658 qps

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