| --- |
| license: mit |
| --- |
| ## 🛠️ Requirements |
|
|
| ### Environment |
| - **Python** 3.10+ |
| - **PyTorch** 1.13.0+ |
| - **CUDA** 11.6+ |
| - **Ubuntu** 18.04 or higher / Windows 10 |
|
|
| ### Installation |
|
|
| ```bash |
| # Create conda environment |
| conda create -n dccs python=3.8 -y |
| conda activate dccs |
| |
| # Install PyTorch |
| pip install torch==1.13.0 torchvision==0.14.0 torchaudio==0.13.0 |
| |
| # Install dependencies |
| pip install packaging |
| pip install timm==0.4.12 |
| pip install pytest chardet yacs termcolor |
| pip install submitit tensorboardX |
| pip install triton==2.0.0 |
| pip install causal_conv1d==1.0.0 |
| pip install mamba_ssm==1.0.1 |
| |
| # Or simply run |
| pip install -r requirements.txt |
| ``` |
|
|
| ## 📁 Dataset Preparation |
|
|
| We evaluate our method on three public datasets: **IRSTD-1K**, **NUAA-SIRST**, and **SIRST-Aug**. |
|
|
| | Dataset | Link | |
| |---------|------| |
| | IRSTD-1K | [Download](https://github.com/RuiZhang97/ISNet) | |
| | NUAA-SIRST | [Download](https://github.com/YimianDai/sirst) | |
| | SIRST-Aug | [Download](https://github.com/Tianfang-Zhang/AGPCNet) | |
|
|
| Please organize the datasets as follows: |
|
|
| ``` |
| ├── dataset/ |
| │ ├── IRSTD-1K/ |
| │ │ ├── images/ |
| │ │ │ ├── XDU514png |
| │ │ │ ├── XDU646.png |
| │ │ │ └── ... |
| │ │ ├── masks/ |
| │ │ │ ├── XDU514.png |
| │ │ │ ├── XDU646.png |
| │ │ │ └── ... |
| │ │ └── trainval.txt |
| │ │ └── test.txt |
| │ ├── NUAA-SIRST/ |
| │ │ └── ... |
| │ └── SIRST-Aug/ |
| │ └── ... |
| ``` |
|
|
| ## 🚀 Training |
|
|
| ```bash |
| python main.py --dataset-dir '/path/to/dataset' \ |
| --batch-size 4 \ |
| --epochs 400 \ |
| --lr 0.05 \ |
| --mode 'train' |
| ``` |
|
|
| **Example:** |
| ```bash |
| python main.py --dataset-dir './dataset/IRSTD-1K' --batch-size 4 --epochs 400 --lr 0.05 --mode 'train' |
| ``` |
|
|
| ## 📊 Testing |
|
|
| ```bash |
| python main.py --dataset-dir '/path/to/dataset' \ |
| --batch-size 4 \ |
| --mode 'test' \ |
| --weight-path '/path/to/weight.tar' |
| ``` |
|
|
| **Example:** |
| ```bash |
| python main.py --dataset-dir './dataset/IRSTD-1K' --batch-size 4 --mode 'test' --weight-path './weight/irstd1k_weight.pkl' |
| ``` |
|
|
| ## 📈 Results |
|
|
| ### Quantitative Results |
|
|
| | Dataset | IoU (×10⁻²) | Pd (×10⁻²) | Fa (×10⁻⁶) | Weights | |
| |:-------:|:------------:|:----------:|:----------:|:-------:| |
| | IRSTD-1K | 69.64 | 95.58 | 10.48 | [Download](https://drive.google.com/file/d/1KqlOVWIktfrBrntzr53z1eGnrzjWCWSe/view?usp=sharing) | |
| | NUAA-SIRST | 78.65 | 78.65 | 2.48 | [Download](https://drive.google.com/file/d/13JQ3V5xhXUcvy6h3opKs15gseuaoKrSQ/view?usp=sharing) | |
| | SIRST-Aug | 75.57 | 98.90 | 33.46 | [Download](https://drive.google.com/file/d/1lcmTgft0LStM7ABWDIMRHTkcOv95p9LO/view?usp=sharing) | |
|
|
|
|
| ## 📂 Project Structure |
|
|
| ``` |
| DCCS/ |
| ├── dataset/ # Dataset loading and preprocessing |
| ├── model/ # Network architecture |
| ├── utils/ # Utility functions |
| ├── weight/ # Pretrained weights |
| ├── main.py # Main entry point |
| ├── requirements.txt # Dependencies |
| └── README.md |
| ``` |
|
|
| ## 🙏 Acknowledgement |
|
|
| We sincerely thank the following works for their contributions: |
|
|
| - [BasicIRSTD](https://github.com/XinyiYing/BasicIRSTD) - A comprehensive toolbox |
| - [MSHNet](https://github.com/ying-fu/MSHNet) - Scale and Location Sensitive Loss |
