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clean code and sepaarate finetuned_inference.py
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@@ -43,7 +43,7 @@ sh train.sh
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## Inference with trained checkpoit
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Simply run after training the model, the model checkpoints are saved at train_codes/output usually
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```
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python -m scripts.inference --inference_config configs/inference/test.yaml --unet_checkpoint path_to_trained_checkpoint_folder
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python -m scripts.finetuned_inference --inference_config configs/inference/test.yaml --unet_checkpoint path_to_trained_checkpoint_folder
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```
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## TODO
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