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@@ -22,7 +22,6 @@ pip install -U openmim
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  mim install mmengine
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  mim install mmcv==2.0.0
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- pip install -r run/requirements.txt
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  cd mmsegmentation
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  pip install -v -e .
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  ```
@@ -66,6 +65,7 @@ Here is an example if you want to make own dataset.
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  ***Dataset Configs***
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  ```bash
 
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  cd mmsegmentation/mmseg/datasets
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  rm -rf __init__.py # delete original file
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  wget https://huggingface.co/CVRPDataset/Model/resolve/main/dataset_configs/CVRP.py
@@ -147,8 +147,8 @@ python ../run/test.py -d CVRPDataset/val -m CVRP_configs/CVRP_mask2former.py -pt
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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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  ##### The UI :
 
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  mim install mmengine
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  mim install mmcv==2.0.0
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  cd mmsegmentation
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  pip install -v -e .
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  ```
 
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  ***Dataset Configs***
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  ```bash
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+ pip install -r run/requirements.txt
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  cd mmsegmentation/mmseg/datasets
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  rm -rf __init__.py # delete original file
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  wget https://huggingface.co/CVRPDataset/Model/resolve/main/dataset_configs/CVRP.py
 
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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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+ pip install gradio
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  python app.py
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  ```
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  ##### The UI :