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README.md
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```bash
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conda create --prefix /path/to/sslam_eval_env -y python=3.9.13
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/path/to/sslam_eval_env/bin/python -m pip install pip==24.0 # downgrade pip
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/path/to/sslam_eval_env/bin/pip install -r SSLAM_Inference/requirements_sslam_eval.txt
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```
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## 📦Model Weights
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| Model Type | Link |
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| **Pre-Trained** | [Download](https://drive.google.com/drive/folders/1aA65-qQCHSCrkiDeLGUtn1PiEjJi5HS8?usp=sharing) |
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| **AS2M Fine-Tuned** (50.2 mAP) | [Download](https://drive.google.com/drive/folders/1Yy38IyksON5RJFNM7gzeQoAOSPnEIKp2?usp=sharing) |
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---
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#### 🚀**Using SSLAM**
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We provide scripts to use SSLAM in the following ways:
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```bash
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conda create --prefix /path/to/sslam_eval_env -y python=3.9.13
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/path/to/sslam_eval_env/bin/python -m pip install pip==24.0 # downgrade pip
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##clone SSLAM
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git clone https://github.com/ta012/SSLAM.git
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cd SSLAM/
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/path/to/sslam_eval_env/bin/pip install -r SSLAM_Inference/requirements_sslam_eval.txt
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```
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#### 🚀**Using SSLAM**
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We provide scripts to use SSLAM in the following ways:
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