Add release note for v1.1.0

README.md

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+---
+library_name: mmpose
+---
+
+![rtmpose_logo](resource/RTMPose.png)
+
+RTMPose introduces a real-time, top-down human pose estimation framework that jointly optimizes model architecture and training strategy to achieve high accuracy under strict latency constraints.
+
+Original paper: [RTMPose: Real-Time Multi-Person Pose Estimation Based on MMPose](https://arxiv.org/abs/2303.07399)
+
+# RTMPose-M
+
+This model uses the RTMPose-M variant, which strikes a balance between accuracy and inference speed through efficient backbone design and optimized keypoint heads. It is well suited for real-time pose estimation in applications such as human–computer interaction, sports analytics, video surveillance, and edge AI systems.
+
+Model Configuration:
+- Reference implementation: [Official MMPose RTMPose models](https://github.com/open-mmlab/mmpose/tree/main/projects/rtmpose)
+- Original Weight: [rtmpose-m_simcc-aic-coco_pt-aic-coco_420e-256x192](https://download.openmmlab.com/mmpose/v1/projects/rtmposev1/rtmpose-m_simcc-aic-coco_pt-aic-coco_420e-256x192-63eb25f7_20230126.pth)
+- Resolution: 3x256x192
+- Support Cooper version:
+    - Cooper SDK: [2.5.2]
+    - Cooper Foundry: [2.2]
+
+| Model | Device | Model Link |
+| :-----: | :-----: | :-----: |
+| RTMPose-m | N1-655 | [Model_Link](https://huggingface.co/Ambarella/RTMPose/blob/main/n1-655_rtmpose_m.bin) |
+| RTMPose-m | CV72 | [Model_Link](https://huggingface.co/Ambarella/RTMPose/blob/main/cv72_rtmpose_m.bin) |
+| RTMPose-m | CV75 | [Model_Link](https://huggingface.co/Ambarella/RTMPose/blob/main/cv75_rtmpose_m.bin) |