# Exporting MMPose models

```bash
docker build --progress=plain -f extras/mmdeploy/dockerfile -t rpt_mmdeploy .

./extras/mmdeploy/run_container.sh
```

<br>

## ONNX

```bash
cd /mmdeploy/
export withFP16="_fp16"
cp /RapidPoseTriangulation/extras/mmdeploy/configs/detection_onnxruntime_static-320x320"$withFP16".py configs/mmdet/detection/

python3 ./tools/deploy.py \
    configs/mmdet/detection/detection_onnxruntime_static-320x320"$withFP16".py \
    /mmpose/projects/rtmpose/rtmdet/person/rtmdet_nano_320-8xb32_coco-person.py \
    https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmdet_nano_8xb32-100e_coco-obj365-person-05d8511e.pth \
    /mmpose/projects/rtmpose/examples/onnxruntime/human-pose.jpeg \
    --work-dir work_dir \
    --show

mv /mmdeploy/work_dir/end2end.onnx /RapidPoseTriangulation/extras/mmdeploy/exports/rtmdet-nano_1x3x320x320"$withFP16".onnx
```

```bash
cd /mmdeploy/
export withFP16="_fp16"
cp /RapidPoseTriangulation/extras/mmdeploy/configs/pose-detection_simcc_onnxruntime_static-384x288"$withFP16".py configs/mmpose/
cp /RapidPoseTriangulation/extras/mmdeploy/configs/pose-detection_simcc_onnxruntime_dynamic-384x288"$withFP16".py configs/mmpose/

python3 ./tools/deploy.py \
    configs/mmpose/pose-detection_simcc_onnxruntime_static-384x288"$withFP16".py \
    /mmpose/projects/rtmpose/rtmpose/body_2d_keypoint/rtmpose-m_8xb256-420e_coco-384x288.py \
    https://download.openmmlab.com/mmpose/v1/projects/rtmposev1/rtmpose-m_simcc-body7_pt-body7_420e-384x288-65e718c4_20230504.pth \
    /mmpose/projects/rtmpose/examples/onnxruntime/human-pose.jpeg \
    --work-dir work_dir \
    --show
mv /mmdeploy/work_dir/end2end.onnx /RapidPoseTriangulation/extras/mmdeploy/exports/rtmpose-m_1x3x384x288"$withFP16".onnx

python3 ./tools/deploy.py \
    configs/mmpose/pose-detection_simcc_onnxruntime_dynamic-384x288"$withFP16".py \
    /mmpose/projects/rtmpose/rtmpose/body_2d_keypoint/rtmpose-m_8xb256-420e_coco-384x288.py \
    https://download.openmmlab.com/mmpose/v1/projects/rtmposev1/rtmpose-m_simcc-body7_pt-body7_420e-384x288-65e718c4_20230504.pth \
    /mmpose/projects/rtmpose/examples/onnxruntime/human-pose.jpeg \
    --work-dir work_dir \
    --show
mv /mmdeploy/work_dir/end2end.onnx /RapidPoseTriangulation/extras/mmdeploy/exports/rtmpose-m_Bx3x384x288"$withFP16".onnx

python3 ./tools/deploy.py \
    configs/mmpose/pose-detection_simcc_onnxruntime_static-384x288"$withFP16".py \
    /mmpose/projects/rtmpose/rtmpose/wholebody_2d_keypoint/rtmpose-l_8xb32-270e_coco-wholebody-384x288.py \
    https://download.openmmlab.com/mmpose/v1/projects/rtmposev1/rtmpose-l_simcc-coco-wholebody_pt-aic-coco_270e-384x288-eaeb96c8_20230125.pth \
    /mmpose/projects/rtmpose/examples/onnxruntime/human-pose.jpeg \
    --work-dir work_dir \
    --show
mv /mmdeploy/work_dir/end2end.onnx /RapidPoseTriangulation/extras/mmdeploy/exports/rtmpose-l_wb_1x3x384x288"$withFP16".onnx

python3 ./tools/deploy.py \
    configs/mmpose/pose-detection_simcc_onnxruntime_dynamic-384x288"$withFP16".py \
    /mmpose/projects/rtmpose/rtmpose/wholebody_2d_keypoint/rtmpose-l_8xb32-270e_coco-wholebody-384x288.py \
    https://download.openmmlab.com/mmpose/v1/projects/rtmposev1/rtmpose-l_simcc-coco-wholebody_pt-aic-coco_270e-384x288-eaeb96c8_20230125.pth \
    /mmpose/projects/rtmpose/examples/onnxruntime/human-pose.jpeg \
    --work-dir work_dir \
    --show
mv /mmdeploy/work_dir/end2end.onnx /RapidPoseTriangulation/extras/mmdeploy/exports/rtmpose-l_wb_Bx3x384x288"$withFP16".onnx
```

```bash
python3 /RapidPoseTriangulation/extras/mmdeploy/make_extra_graphs.py
```

```bash
python3 /RapidPoseTriangulation/extras/mmdeploy/add_extra_steps.py
```

<br>

## TensorRT

Run this directly in the inference container (the TensorRT versions need to be the same)

```bash
export withFP16="_fp16"

trtexec --fp16 \
  --onnx=/RapidPoseTriangulation/extras/mmdeploy/exports/rtmdet-nano_1x320x320x3"$withFP16"_extra-steps.onnx \
  --saveEngine=end2end.engine

mv ./end2end.engine /RapidPoseTriangulation/extras/mmdeploy/exports/rtmdet-nano_1x320x320x3"$withFP16"_extra-steps.engine

trtexec --fp16 \
  --onnx=/RapidPoseTriangulation/extras/mmdeploy/exports/rtmpose-m_Bx384x288x3"$withFP16"_extra-steps.onnx \
  --saveEngine=end2end.engine \
  --minShapes=image_input:1x384x288x3 \
  --optShapes=image_input:1x384x288x3 \
  --maxShapes=image_input:1x384x288x3

mv ./end2end.engine /RapidPoseTriangulation/extras/mmdeploy/exports/rtmpose-m_1x384x288x3"$withFP16"_extra-steps.engine
```

<br>

## Benchmark

```bash
cd /mmdeploy/
export withFP16="_fp16"

python3 ./tools/profiler.py \
    configs/mmpose/pose-detection_simcc_onnxruntime_static-384x288"$withFP16".py \
    /mmpose/projects/rtmpose/rtmpose/body_2d_keypoint/rtmpose-m_8xb256-420e_coco-384x288.py \
    /RapidPoseTriangulation/extras/mmdeploy/testimages/ \
    --model /RapidPoseTriangulation/extras/mmdeploy/exports/rtmpose-m_1x3x384x288"$withFP16".onnx \
    --shape 384x288 \
    --device cuda \
    --warmup 50 \
    --num-iter 200
```