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Update README.md
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docs/tutorial/3/README.md

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@@ -99,8 +99,8 @@ In this config, we select videos uploaded between the 15th and 30th of November
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in 2018 that match both "tear gas" and "mexico" in Youtube's search API. Once
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downloaded, we split each video into frames, deduplicate similar images using
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[dhash](https://github.com/maccman/dhash), classify deduplicated frames using
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resnet, and then create an additional JSON that ranks the classified images
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according to the number of positive frames (using the `Rank` analyser).
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resnet, and then create an additional JSON that ranks the classified videos
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according to the number of positive frames they contain (using the `Rank` analyser).
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That's a fair bit of computational work. Go and grab a beverage while this
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command runs to completion, if you like:

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