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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
Luigi commited on
Commit
152fd9e
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1 Parent(s): 6ac98f5

Fix model naming in model card

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Files changed (1) hide show
  1. README.md +8 -8
README.md CHANGED
@@ -59,13 +59,13 @@ Note that all quantization that has been introduced in the conversion is purely
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  | Model Name | ONNX Precision | TensorRT Preicion | Throughput (TensorRT) |
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  |---|---|---|---|
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- | yolo_nas_pose_s_fp16.onnx.best.engine | FP16 | FP32+FP16+INT8 | 91.8287 qps |
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- | yolo_nas_pose_s_fp16.onnx.fp16.engine | FP16 | FP32+FP16 | 85.4187 qps|
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- | yolo_nas_pose_s_fp32.onnx.best.engine | FP32 | FP32+FP16+INT8 | 105.519 qps|
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- | yolo_nas_pose_s_fp32.onnx.engine | FP32 | FP32 | 47.8265 qps |
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- | yolo_nas_pose_s_fp32.onnx.fp16.engine | FP32 | FP32+FP16 | 82.3834 qps|
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- | yolo_nas_pose_s_fp32.onnx.int8.engine | FP32 | FP32+INT8 | 88.0719 qps |
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- | yolo_nas_pose_s_int8.onnx.best.engine | INT8 | FP32+FP16+INT8 | 80.8271 qps |
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- | yolo_nas_pose_s_int8.onnx.int8.engine | INT8 | FP32+INT8 | 74.2658 qps |
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  ![alt text](benchmark.png "Benchmark")
 
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  | Model Name | ONNX Precision | TensorRT Preicion | Throughput (TensorRT) |
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  |---|---|---|---|
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+ | yolo_nas_pose_n_fp16.onnx.best.engine | FP16 | FP32+FP16+INT8 | 91.8287 qps |
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+ | yolo_nas_pose_n_fp16.onnx.fp16.engine | FP16 | FP32+FP16 | 85.4187 qps|
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+ | yolo_nas_pose_n_fp32.onnx.best.engine | FP32 | FP32+FP16+INT8 | 105.519 qps|
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+ | yolo_nas_pose_n_fp32.onnx.engine | FP32 | FP32 | 47.8265 qps |
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+ | yolo_nas_pose_n_fp32.onnx.fp16.engine | FP32 | FP32+FP16 | 82.3834 qps|
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+ | yolo_nas_pose_n_fp32.onnx.int8.engine | FP32 | FP32+INT8 | 88.0719 qps |
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+ | yolo_nas_pose_n_int8.onnx.best.engine | INT8 | FP32+FP16+INT8 | 80.8271 qps |
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+ | yolo_nas_pose_n_int8.onnx.int8.engine | INT8 | FP32+INT8 | 74.2658 qps |
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  ![alt text](benchmark.png "Benchmark")