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@@ -124,7 +124,7 @@ python ../run/run_configs.py --model_name segformer -m configs/segformer/segform
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  ```
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  Also, you can download model config files [here](https://huggingface.co/CVRPDataset/Model/tree/main/model_configs).
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  ```bash
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- cd mmsegmentation/CVRP_configs
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  wget https://huggingface.co/CVRPDataset/Model/resolve/main/model_configs/CVRP_mask2former.py
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  ```
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@@ -146,7 +146,8 @@ wget https://huggingface.co/CVRPDataset/Model/resolve/main/checkpoint/Mask2Forme
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  python ../run/test.py -d CVRPDataset/val -m CVRP_configs/CVRP_mask2former.py -pth work_dirs/CVRP_mask2former/Mask2Former.pth -o outputs/CVRP_mask2former
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  ```
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  ### UI
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- ##### We create a web user interface for annotation based on gradio:
 
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  ```bash
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  python app.py
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  ```
 
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  ```
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  Also, you can download model config files [here](https://huggingface.co/CVRPDataset/Model/tree/main/model_configs).
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  ```bash
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+ cd CVRP_configs
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  wget https://huggingface.co/CVRPDataset/Model/resolve/main/model_configs/CVRP_mask2former.py
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  ```
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  python ../run/test.py -d CVRPDataset/val -m CVRP_configs/CVRP_mask2former.py -pth work_dirs/CVRP_mask2former/Mask2Former.pth -o outputs/CVRP_mask2former
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  ```
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  ### UI
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+ ##### We create a web user interface for annotation based on gradio.
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+ ##### First, make sure you have Mask2Former.pth in mmsegmentation/work_dirs/CVRP_mask2former and CVRP_mask2former.py in mmsegmentation/CVRP_configs according to the above instructions.
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  ```bash
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  python app.py
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  ```