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README.md

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@@ -80,7 +80,9 @@ To run the program on the Google Cloud platform you have to create a new project
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And if you haven't done it yet you have to enable billing for the project.
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The first step is to do the setup of the notebook environment variables. You will be asked to enable access to your Google Drive and Google credentials.
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![create env file](./docs/env.png)
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Then you need to fill the file that is created in the root of your google drive with your project id and the name you want to give the bucket.
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Finally run all the cells in *Setup environment*, this will create a new bucket and all the the *./data* files are copied into it. It also create a new directory (*./bucket*) on the Colab runtime that is directly binded to the cloud storage bucket.
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* 5 workers, 20 cores, 8k test image
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![strong scalability chart](./docs/strong.png)
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As you can see by doubling the number of cores the execution time is reduced by about half each time.
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#### Weak scalability
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* 4 workers, 16 cores, 8k image
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![strong scalability chart](./docs/weak.png)
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As you can see the execution is always around 4 minutes.
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### Web interface

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