Initial steps.

extras/mmpose/README.md

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+# Finetuning MMPose models
+
+See: <https://mmpose.readthedocs.io/en/latest/user_guides/train_and_test.html>
+
+<br>
+
+```bash
+docker build --progress=plain -f extras/mmdeploy/dockerfile -t rpt_mmdeploy .
+
+./extras/mmpose/run_container.sh
+```
+
+```bash
+cd /mmpose/
+
+pip3 install "albumentations<1.4"
+
+python3 ./tools/train.py \
+    /mmpose/projects/rtmpose/rtmpose/body_2d_keypoint/rtmpose-m_8xb256-420e_coco-384x288.py \
+    --amp \
+    --cfg-options \
+      load_from=https://download.openmmlab.com/mmpose/v1/projects/rtmposev1/rtmpose-m_simcc-body7_pt-body7_420e-384x288-65e718c4_20230504.pth \
+      train_batch_size=16 val_batch_size=16
+
+```

extras/mmpose/run_container.sh

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+#! /bin/bash
+
+xhost +
+docker run --privileged --rm --network host -it \
+  --gpus all --shm-size=16g --ulimit memlock=-1 --ulimit stack=67108864 \
+  --volume "$(pwd)"/:/RapidPoseTriangulation/ \
+  --volume "$(pwd)"/../datasets/coco2017/annotations/:/mmpose/data/coco/annotations/ \
+  --volume "$(pwd)"/../datasets/coco2017/images/:/mmpose/data/coco/ \
+  --volume /tmp/.X11-unix:/tmp/.X11-unix \
+  --env DISPLAY --env QT_X11_NO_MITSHM=1 \
+  rpt_mmdeploy