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README.md

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@@ -64,10 +64,5 @@ $ docker pull docker.pkg.github.com/dipy/gpustreamlines/gpustreamlines:latest
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4. Run the code, mounting the current directory into the container for easy result retrieval:
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```
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$ docker run --gpus=all -v ${PWD}:/opt/exec/output:rw -it docker.pkg.github.com/dipy/gpustreamlines/gpustreamlines:latest \
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python run_gpu_streamlines.py --ngpus 1 --output-prefix output/hardi_gpu_full --use-fast-write
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python /opt/GPUStreamlines/run_gpu_streamlines.py --ngpus 1 --output-prefix /opt/exec/output/hardi_gpu_full
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```
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5. The code produces a number of independent track files (one per processed "chunk"), but we have provided a merge script to combine them into a single trk file. To merge files, run:
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```
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$ docker run --gpus=all -v ${PWD}:/opt/exec/output:rw -it docker.pkg.github.com/dipy/gpustreamlines/gpustreamlines:latest \
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./merge_trk.sh -o output/hardi_tracks.trk output/hardi_gpu_full*
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```

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