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@ -34,7 +34,7 @@ Download [Cityscapes](https://www.cityscapes-dataset.com/), [GTA5](https://downl
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<b>1) GTA5 -> Cityscapes</b>
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</summary>
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Download the [pretrained model](https://drive.google.com/file/d/1MTtbLKtqhNI1Ec6GGfBLnqQP2u9igKWn/view?usp=sharing)(57.5 mIoU) and save it in `./pretrained/gta2citylabv2_stage3`. Then run the command
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Download the [pretrained model](https://drive.google.com/file/d/1MTtbLKtqhNI1Ec6GGfBLnqQP2u9igKWn/view?usp=sharing) (57.5 mIoU) and save it in `./pretrained/gta2citylabv2_stage3`. Then run the command
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```bash
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python test.py --bn_clr --student_init simclr --resume ./pretrained/gta2citylabv2_stage3/from_gta5_to_cityscapes_on_deeplabv2_best_model.pkl
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```
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@ -58,7 +58,7 @@ To reproduce the performance, you need 4 GPUs with no less than 16G memory.
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<b>1) GTA5 -> Cityscapes</b>
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</summary>
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- **Stage1.** Download [warmup model](https://drive.google.com/file/d/1X7AyDtm4DC2WET-xX2b39x8aSkrD266f/view?usp=sharing)(43.3 mIoU), and save it in `./pretrained/gta2citylabv2_warmup/`.
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- **Stage1.** Download [warm-up model](https://drive.google.com/file/d/1X7AyDtm4DC2WET-xX2b39x8aSkrD266f/view?usp=sharing) (43.3 mIoU), and save it in `./pretrained/gta2citylabv2_warmup/`.
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* Generate soft pseudo label.
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```bash
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python generate_pseudo_label.py --name gta2citylabv2_warmup_soft --soft --resume_path ./pretrained/gta2citylabv2_warmup/from_gta5_to_cityscapes_on_deeplabv2_best_model.pkl --no_droplast
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