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Merge pull request #19923 from dbudniko:dbudniko/G-API_mtcnn_demo_PR

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G-API MTCNN sample

* add face detection demo

* clean up

* enable back accumulate

* additional input

* meta args workaround

* additional arg

* add init

* roll back

* fix shadowing

* roll back

* clean up and PNet copy from debug branch which now works

* try nets operator

* more clean up

* more clean up

* add 6 layers pyramid experimental code

* final clean up and ready for PR

* original image resize

* Remove Pnet declarations. Generic infer is used now.

* scales and sizes calculation added

* fix assert, and add ceil to size calculation

* try doubles for scales

* Address comments from Dmitry.

* use half scale option

* fix half scale

* clean up debug outputs

* try to get input image width and height

* clean up

* trailing spaces and review from Maxim

* more comments from Maxim are addressed

* try to fix warnings

* try to fix warnings and address more comments from Dmitry

* crop fix and clean up

* more warnings fixes

* more warnings fixes

* more comments from Maxim are addressed

* even more consts

* copy_n for regressions

* address more comments from Dmitry

* more comments from Maxim
This commit is contained in:
Dmitry Budnikov
2021-04-23 13:26:53 +03:00
committed by GitHub
parent e655083e3c
commit a53582d706
2 changed files with 778 additions and 0 deletions
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modules/gapi/include/opencv2/gapi/infer/ie.hpp
+30
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@@ -235,6 +235,36 @@ public:
return *this;
}
Params& cfgInputReshape(std::map<std::string, std::vector<std::size_t>> && reshape_table) {
desc.reshape_table = std::move(reshape_table);
return *this;
}
Params& cfgInputReshape(const std::map<std::string, std::vector<std::size_t>>&reshape_table) {
desc.reshape_table = reshape_table;
return *this;
}
Params& cfgInputReshape(std::string && layer_name, std::vector<size_t> && layer_dims) {
desc.reshape_table.emplace(layer_name, layer_dims);
return *this;
}
Params& cfgInputReshape(const std::string & layer_name, const std::vector<size_t>&layer_dims) {
desc.reshape_table.emplace(layer_name, layer_dims);
return *this;
}
Params& cfgInputReshape(std::unordered_set<std::string> && layer_names) {
desc.layer_names_to_reshape = std::move(layer_names);
return *this;
}
Params& cfgInputReshape(const std::unordered_set<std::string>&layer_names) {
desc.layer_names_to_reshape = layer_names;
return *this;
}
// BEGIN(G-API's network parametrization API)
GBackend backend() const { return cv::gapi::ie::backend(); }
std::string tag() const { return m_tag; }