| # SMILE Installation | |
| This project relies on several open-source libraries. We recommend using **`conda`** to manage your Python environment and installing dependencies via the provided `environment.yml` file. | |
| ## Installation Steps | |
| 1. **Clone the repository** | |
| ```bash | |
| git clone https://github.com/fmthoker/SMILE.git | |
| cd SMILE | |
| ``` | |
| 2. **Create a conda environment** | |
| ```bash | |
| conda env create -f environment.yml | |
| ``` | |
| 3. **Activate the environment** | |
| ```bash | |
| conda activate smile | |
| ``` | |
| 4. **Download CLIP weights (Optional, only required for pretraining)** | |
| ```bash | |
| mkdir clip_weights | |
| ``` | |
| For pretraining, please download the [CLIP weights](https://huggingface.co/fmthoker/SMILE/resolve/main/clip_weights/ViT-B-16.pt) and place them in the `clip_weights` folder created above. | |