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README.md
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## Requirements
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### Environment
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- Python 3.8+
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- PyTorch 2.0.1+
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- CUDA 11.8+
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- Ubuntu 22.04 or higher / Windows 10
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### Installation
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```bash
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conda create --name rscd python=3.8
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conda activate rscd
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mim install mmcv
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pip install -U fvcore
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```
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### Dataset Preparation
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We evaluate our method on three public datasets: **LEVIR-CD**, **WHU-CD**, and **CLCD**.
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| Dataset | Link |
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│ └── test(the same with train)
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└── CLCD (the same with WHU_CD)
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```
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### Use example
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Training
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```bash
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python train.py -c configs/mamba_cttf.py
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python tools/params_flops.py --size 256
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```
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### Acknowledgement
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Thanks to previous open-sourced repo:
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- [mmsegmentation](https://github.com/open-mmlab/mmsegmentation)
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- [pytorch lightning](https://github.com/Lightning-AI/lightning)
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## Requirements
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### 🛠️Environment
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- Python 3.8+
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- PyTorch 2.0.1+
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- CUDA 11.8+
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- Ubuntu 22.04 or higher / Windows 10
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### 🛠️Installation
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```bash
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conda create --name rscd python=3.8
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conda activate rscd
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mim install mmcv
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pip install -U fvcore
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```
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### 📁Dataset Preparation
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We evaluate our method on three public datasets: **LEVIR-CD**, **WHU-CD**, and **CLCD**.
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| Dataset | Link |
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│ └── test(the same with train)
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└── CLCD (the same with WHU_CD)
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```
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### 🚀Use example
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Training
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```bash
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python train.py -c configs/mamba_cttf.py
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python tools/params_flops.py --size 256
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```
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### 💡Acknowledgement
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Thanks to previous open-sourced repo:
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- [mmsegmentation](https://github.com/open-mmlab/mmsegmentation)
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- [pytorch lightning](https://github.com/Lightning-AI/lightning)
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