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Update README.md
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README.md

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@@ -106,10 +106,10 @@ We will switch to our model, this will significantly save on inference time.
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1. Install [docker](https://docs.docker.com/engine/install/)
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2. Run any terminal. It is required to get the prediction probability
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3. Place a single CT scan in dicom-format into a folder
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4. CPU: `docker run -it --rm -v <path to a CT folder>:/app/perdict _______` (very slow: 10-15 mins)
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5. GPU: `docker run --gpus 'device=0' -it --rm -v <path to a CT folder>:/app/perdict _______`
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7. Final line in the container output is the probability of having cancer. (0 - cancer-free, 1 - positive)
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4. Place a single CT scan in dicom-format into a folder
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5. CPU: `docker run -it --rm -v <path to a CT folder>:/app/perdict _______` (very slow: 10-15 mins)
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6. GPU: `docker run --gpus 'device=0' -it --rm -v <path to a CT folder>:/app/perdict _______`
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7. Final line in the container output is the probability of having cancer. (0 - cancer-free, 1 - positive)
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Container size is huge (~21 GB). It will take sometime to pull it from registry.
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