Update README.md

README.md

@@ -25,6 +25,18 @@ mim install mmcv==2.0.0
 cd mmsegmentation
 pip install -v -e .
 ```
+### UI
+##### We create a web user interface for annotation based on gradio.
+```bash
+pip install gradio
+pip install "mmdet>=3.0.0rc4"
+python app.py
+```
+##### The UI :
+1.Users can upload an image or use a sample image at ①.Then, they can select one of four models at ②. We recommend **Mask2Former**. After that, click *Run*.
+2.We provide two forms of segmentation results for download at ③.
+![alt text](img/app.png)
+
 ***Creating a Dataset***
 Here is an example if you want to make own dataset.
 
@@ -145,16 +157,6 @@ wget https://huggingface.co/CVRPDataset/Model/resolve/main/checkpoint/Mask2Forme
 ```bash
 python ../run/test.py -d CVRPDataset/val -m CVRP_configs/CVRP_mask2former.py -pth work_dirs/CVRP_mask2former/Mask2Former.pth -o outputs/CVRP_mask2former
 ```
-### UI
-##### We create a web user interface for annotation based on gradio.
-```bash
-pip install gradio
-python app.py
-```
-##### The UI :
-1.Users can upload an image or use a sample image at ①.Then, they can select one of four models at ②. We recommend **Mask2Former**. After that, click *Run*.
-2.We provide two forms of segmentation results for download at ③.
-![alt text](img/app.png)
 
 ### LabelMe
 ##### If you need to manually adjust the annotation, you can use LabelMe.