Update README.md

README.md

@@ -6,6 +6,24 @@ SAM-FNet: SAM-Guided Fusion Network for Laryngo-Pharyngeal Tumor Detection
 
 
 
+## Fine-tune SAM with LoRA
+
+To fine-tune SAM using LoRA, we recommend following the guidelines provided in the original repository: [SAMed](https://github.com/hitachinsk/SAMed/tree/main).
+
+### Steps:
+
+1. **Fine-tune SAM:**
+   - Follow the instructions in the [SAMed repository](https://github.com/hitachinsk/SAMed/tree/main) to fine-tune SAM with LoRA.
+2. **Generate Local Images:**
+   - After fine-tuning, modify the `crop_image.py` script to suit your requirements.
+   - Run the script to generate local images:
+
+```markdown
+python crop_image.py
+```
+
+
+
 ## Dataset
 
 Organize your datasets in the following manner:
@@ -68,3 +86,9 @@ python train.py --data_dir <Your folder> --save_path <Your output path> --num_cl
 ```markdown
 python val.py --model_path <Your model path> --encoder ResNet50 --dataset <Your dataset name> --save_path <Your output path>
 ```
+
+
+
+## Acknowledgement
+
+The code of SAM-FNet is built upon  [SAMed](https://github.com/hitachinsk/SAMed/tree/main) and [DLGNet](https://github.com/soleilssss/DLGNet), and we express our gratitude to these awesome projects.