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README.md
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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
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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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```
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