Converted wb model as well.
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@ -39,7 +39,6 @@ python3 ./tools/deploy.py \
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/mmpose/projects/rtmpose/examples/onnxruntime/human-pose.jpeg \
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--work-dir work_dir \
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--show
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mv /mmdeploy/work_dir/end2end.onnx /RapidPoseTriangulation/extras/mmdeploy/exports/rtmpose-m_1x3x384x288"$withFP16".onnx
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python3 ./tools/deploy.py \
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@ -49,8 +48,25 @@ python3 ./tools/deploy.py \
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/mmpose/projects/rtmpose/examples/onnxruntime/human-pose.jpeg \
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--work-dir work_dir \
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--show
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mv /mmdeploy/work_dir/end2end.onnx /RapidPoseTriangulation/extras/mmdeploy/exports/rtmpose-m_Bx3x384x288"$withFP16".onnx
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python3 ./tools/deploy.py \
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configs/mmpose/pose-detection_simcc_onnxruntime_static-384x288"$withFP16".py \
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/mmpose/projects/rtmpose/rtmpose/wholebody_2d_keypoint/rtmpose-l_8xb32-270e_coco-wholebody-384x288.py \
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https://download.openmmlab.com/mmpose/v1/projects/rtmposev1/rtmpose-l_simcc-coco-wholebody_pt-aic-coco_270e-384x288-eaeb96c8_20230125.pth \
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/mmpose/projects/rtmpose/examples/onnxruntime/human-pose.jpeg \
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--work-dir work_dir \
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--show
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mv /mmdeploy/work_dir/end2end.onnx /RapidPoseTriangulation/extras/mmdeploy/exports/rtmpose-l_wb_1x3x384x288"$withFP16".onnx
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python3 ./tools/deploy.py \
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configs/mmpose/pose-detection_simcc_onnxruntime_dynamic-384x288"$withFP16".py \
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/mmpose/projects/rtmpose/rtmpose/wholebody_2d_keypoint/rtmpose-l_8xb32-270e_coco-wholebody-384x288.py \
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https://download.openmmlab.com/mmpose/v1/projects/rtmposev1/rtmpose-l_simcc-coco-wholebody_pt-aic-coco_270e-384x288-eaeb96c8_20230125.pth \
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/mmpose/projects/rtmpose/examples/onnxruntime/human-pose.jpeg \
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--work-dir work_dir \
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--show
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mv /mmdeploy/work_dir/end2end.onnx /RapidPoseTriangulation/extras/mmdeploy/exports/rtmpose-l_wb_Bx3x384x288"$withFP16".onnx
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```
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```bash
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@ -10,6 +10,8 @@ base_path = "/RapidPoseTriangulation/extras/mmdeploy/exports/"
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det_model_path = base_path + "rtmdet-nano_1x3x320x320.onnx"
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pose_model_path1 = base_path + "rtmpose-m_Bx3x384x288.onnx"
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pose_model_path2 = base_path + "rtmpose-m_1x3x384x288.onnx"
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pose_model_path3 = base_path + "rtmpose-l_wb_Bx3x384x288.onnx"
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pose_model_path4 = base_path + "rtmpose-l_wb_1x3x384x288.onnx"
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norm_mean = -1 * (np.array([0.485, 0.456, 0.406]) * 255)
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norm_std = 1.0 / (np.array([0.229, 0.224, 0.225]) * 255)
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@ -128,9 +130,13 @@ def main():
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add_steps_to_onnx(det_model_path)
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add_steps_to_onnx(pose_model_path1)
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add_steps_to_onnx(pose_model_path2)
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add_steps_to_onnx(pose_model_path3)
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add_steps_to_onnx(pose_model_path4)
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add_steps_to_onnx(det_model_path.replace(".onnx", "_fp16.onnx"))
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add_steps_to_onnx(pose_model_path1.replace(".onnx", "_fp16.onnx"))
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add_steps_to_onnx(pose_model_path2.replace(".onnx", "_fp16.onnx"))
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add_steps_to_onnx(pose_model_path3.replace(".onnx", "_fp16.onnx"))
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add_steps_to_onnx(pose_model_path4.replace(".onnx", "_fp16.onnx"))
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# ==================================================================================================
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