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work. However, to understand this example, all you need to know is that the
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work. However, to understand this example, all you need to know is that the
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feature extractor associates a vector with each location in an image. This
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feature extractor associates a vector with each location in an image. This
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vector is supposed to capture information which describes how parts of the
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vector is supposed to capture information which describes how parts of the
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image look in a way that is relevant to the problem you are trying to solve.
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image look. Importantly, it should do this in a way that is relevant to the
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problem you are trying to solve.
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2. A detection template. This is a rectangle which defines the shape of a
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2. A detection template. This is a rectangle which defines the shape of a
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sliding window (the object_box), as well as a set of rectangles which
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sliding window (the object_box), as well as a set of rectangles which
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