Add release note for v1.1.0

README.md

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+---
+library_name: pytorch
+---
+
+![retinaface_logo](resource/RetinaFace_resnet.png)
+
+RetinaFace is a state-of-the-art single-stage face detector that combines a robust backbone with multi-task learning to predict face locations, landmarks, and context-aware features simultaneously.
+
+Original paper: [RetinaFace: Single-Shot Multi-Level Face Localisation in the Wild](https://arxiv.org/abs/1905.00641)
+
+# RetinaFace-Resnet50
+
+This model uses RetinaFace with a ResNet-50 backbone, providing a strong trade-off between detection accuracy and computational efficiency. It is well suited for face detection and landmark localization in applications such as authentication, video surveillance, and human–computer interaction.
+
+Model Configuration:
+- Reference implementation: [Official RetinaFace source code](https://github.com/biubug6/Pytorch_Retinaface)
+- Original Weight: [RetinaFace weight](https://drive.google.com/file/d/14KX6VqF69MdSPk3Tr9PlDYbq7ArpdNUW/view?usp=drive_link)
+- Resolution: 3x640x640
+- Support Cooper version:
+    - Cooper SDK: [2.5.2]
+    - Cooper Foundry: [2.2]
+
+| Model | Device | Model Link |
+| :-----: | :-----: | :-----: |
+| RetinaFace-Resnet50 | N1-655 | [Model_Link](https://huggingface.co/Ambarella/RetinaFace/blob/main/n1-655_retinaface_resnet50.bin) |
+| RetinaFace-Resnet50 | CV72 | [Model_Link](https://huggingface.co/Ambarella/RetinaFace/blob/main/cv72_retinaface_resnet50.bin) |
+| RetinaFace-Resnet50 | CV75 | [Model_Link](https://huggingface.co/Ambarella/RetinaFace/blob/main/cv75_retinaface_resnet50.bin) |