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README.md

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@@ -112,8 +112,9 @@ docker run --rm -it -v "$(pwd):/app" openmap-t1 -i INPUT_FOLDER -o OUTPUT_FOLDER
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* **-o OUTPUT_FOLDER**: Defines the folder where the results will be saved. This folder will be created automatically if it does not exist.
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* **-m MODEL_FOLDER**: Indicates the folder containing the pretrained models for processing.
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## Optional Processing Steps
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OpenMAP-T1 now allows you to perform only specific processing steps using the following mutually exclusive flags:
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## Optional Faster Processing Steps
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OpenMAP-T1 now allows you to perform only specific processing steps using the following mutually exclusive flags. By specifying these options, OpenMAP-T1 skips unnecessary processing steps, which can significantly reduce overall processing time.
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* **Only Face Cropping**: If you only want to perform face cropping and skip the rest of the processing steps, use:
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```
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# Default
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# Docker
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docker run --rm -it -v "$(pwd):/app" openmap-t1 -i INPUT_FOLDER -o OUTPUT_FOLDER -m MODEL_FOLDER --only-face-cropping
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```
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* Only Skull Stripping: If you want to perform only skull stripping and skip all other processing steps, use:
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* **Only Skull Stripping**: If you want to perform only skull stripping and skip all other processing steps, use the skull stripping flag. Note that skull stripping requires face cropping as a prerequisite, so face cropping is not considered one of the "other processing" steps that are skipped, use:
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```
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python3 parcellation.py -i INPUT_FOLDER -o OUTPUT_FOLDER -m MODEL_FOLDER --only-skull-stripping
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```

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