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Add release note for v1.1.0

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  1. README.md +28 -0
  2. resource/DepthAnythingV2.png +3 -0
README.md ADDED
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+ ---
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+ library_name: pytorch
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+ ---
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+ ![depthanythingv2_logo](resource/DepthAnythingV2.png)
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+ DepthAnythingV2 is a lightweight depth estimation model designed to predict accurate per-pixel depth maps from a single RGB image, optimized for efficiency and versatility across scenes.
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+ Original paper: [DepthAnything V2](https://arxiv.org/abs/2406.09414)
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+ # DepthAnythingV2-Small
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+ This model uses the DepthAnythingV2-Small variant, which balances model size and inference speed while maintaining strong depth estimation accuracy. It is well suited for applications such as AR/VR, robotics, scene reconstruction, and real-time 3D perception on edge devices.
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+ Model Configuration:
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+ - Reference implementation: [Official DepthAnythingV2 source code](https://github.com/DepthAnything/Depth-Anything-V2)
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+ - Original Weight:[Depth-Anything-V2-Small](https://huggingface.co/depth-anything/Depth-Anything-V2-Small/resolve/main/depth_anything_v2_vits.pth?download=true)
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+ - Resolution: 3x224x224
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+ - Support Cooper version:
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+ - Cooper SDK: [2.5.2]
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+ - Cooper Foundry: [2.2]
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+
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+ | Model | Device | Model Link |
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+ | :-----: | :-----: | :-----: |
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+ | DepthAnythingV2-Small | N1-655 | [Model_Link](https://huggingface.co/Ambarella/DepthAnythingV2/blob/main/n1-655_depthanything_v2_small.bin) |
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+ | DepthAnythingV2-Small | CV72 | [Model_Link](https://huggingface.co/Ambarella/DepthAnythingV2/blob/main/cv72_depthanything_v2_small.bin) |
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+ | DepthAnythingV2-Small | CV75 | [Model_Link](https://huggingface.co/Ambarella/DepthAnythingV2/blob/main/cv75_depthanything_v2_small.bin) |
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resource/DepthAnythingV2.png ADDED

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