Running mmdeploy benchmark.

extras/mmdeploy/README.md

@@ -46,3 +46,22 @@ mv /mmdeploy/work_dir/end2end.onnx /RapidPoseTriangulation/extras/mmdeploy/expor
 python3 /RapidPoseTriangulation/extras/mmdeploy/make_extra_graphs.py
 python3 /RapidPoseTriangulation/extras/mmdeploy/add_extra_steps.py
 ```
+
+<br>
+
+## Benchmark
+
+```bash
+export withFP16="_fp16"
+
+cd /mmdeploy/
+python3 ./tools/profiler.py \
+    configs/mmpose/pose-detection_simcc_onnxruntime_static-384x288$withFP16.py \
+    /mmpose/projects/rtmpose/rtmpose/body_2d_keypoint/rtmpose-m_8xb256-420e_coco-384x288.py \
+    /RapidPoseTriangulation/extras/mmdeploy/testimages/ \
+    --model /RapidPoseTriangulation/extras/mmdeploy/exports/rtmpose-m_384x288$withFP16.onnx \
+    --shape 384x288 \
+    --device cuda \
+    --warmup 50 \
+    --num-iter 200
+```

extras/mmdeploy/dockerfile

@@ -31,5 +31,8 @@ RUN apt-get update && apt-get install -y --no-install-recommends python3-tk
 # Tool for fp16 conversion
 RUN pip3 install --upgrade --no-cache-dir onnxconverter_common
 
+# Fix an error when profiling
+RUN pip3 install --upgrade --no-cache-dir "onnxruntime-gpu<1.17"
+
 WORKDIR /mmdeploy/
 CMD ["/bin/bash"]