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@@ -65,8 +65,10 @@ CUDA_VISIBLE_DEVICES=0,1,2,3 python3 train_segmentation.py --backbone resnest101
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## 4. Evalute the models
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```bash
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CUDA_VISIBLE_DEVICES=0 python3 inference_segmentation.py --backbone resnest101 --mode fix --use_gn True --tag DeepLabv3+@ResNeSt-101@Fix@GN --scale 0.5,1.0,1.5,2.0 --iteration 10
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python3 evaluate.py --experiment_name DeepLabv3+@ResNeSt-101@Fix@GN@val@scale=0.5,1.0,1.5,2.0@iteration=10 --domain val --data_dir $your_dir/SegmentationClass
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## 5. Results

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