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Fix spelling typos
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@@ -95,7 +95,7 @@ Internally, cv::GComputation::apply() compiles the captured graph for
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the given input parameters and executes the compiled graph on data
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immediately.
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There is a number important concepts can be outlines with this examle:
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There is a number important concepts can be outlines with this example:
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* Graph declaration and graph execution are distinct steps;
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* Graph is built implicitly from a sequence of G-API expressions;
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* G-API supports function-like calls -- e.g. cv::gapi::resize(), and
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@@ -36,7 +36,7 @@ software optimization due to diffent costs of memory access on modern
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computer architectures -- the more data is reused in the first level
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cache, the more efficient pipeline is.
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Definitely the aforementioned techinques can be applied manually --
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Definitely the aforementioned techniques can be applied manually --
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but it requires extra skills and knowledge of the target platform and
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the algorithm implementation changes irrevocably -- becoming more
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specific, less flexible, and harder to extend and maintain.
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@@ -242,7 +242,7 @@ Graph *protocol* defines what arguments a computation was defined on
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- A type name (every operation is a C++ type);
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- Operation signature (similar to ~std::function<>~);
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- Operation identifier (a string);
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- Metadata callback -- desribe what is the output value format(s),
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- Metadata callback -- describe what is the output value format(s),
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given the input and arguments.
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- Use ~OpType::on(...)~ to use a new kernel ~OpType~ to construct graphs.
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#+LaTeX: {\footnotesize
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