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Merge pull request #21775 from luzpaz:typos/gapi
* GAPI: fix various gapi related typos Fixes source comments and documentation related to gapi code. * Fix source typos * Fixed typos requested * Follow-up typo fix
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@@ -33,7 +33,7 @@ const std::string keys =
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"{ thrr | 0.7 | MTCNN R confidence threshold}"
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"{ thro | 0.7 | MTCNN O confidence threshold}"
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"{ half_scale | false | MTCNN P use half scale pyramid}"
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"{ queue_capacity | 1 | Streaming executor queue capacity. Calculated automaticaly if 0}"
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"{ queue_capacity | 1 | Streaming executor queue capacity. Calculated automatically if 0}"
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;
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namespace {
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@@ -488,8 +488,8 @@ static inline std::string get_pnet_level_name(const cv::Size &in_size) {
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}
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int calculate_scales(const cv::Size &input_size, std::vector<double> &out_scales, std::vector<cv::Size> &out_sizes ) {
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//calculate multi - scale and limit the maxinum side to 1000
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//pr_scale: limit the maxinum side to 1000, < 1.0
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//calculate multi - scale and limit the maximum side to 1000
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//pr_scale: limit the maximum side to 1000, < 1.0
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double pr_scale = 1.0;
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double h = static_cast<double>(input_size.height);
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double w = static_cast<double>(input_size.width);
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@@ -602,7 +602,7 @@ int main(int argc, char* argv[]) {
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cv::GArray<custom::Face> final_p_faces_for_bb2squares = custom::ApplyRegression::on(faces0, true);
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cv::GArray<custom::Face> final_faces_pnet0 = custom::BBoxesToSquares::on(final_p_faces_for_bb2squares);
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total_faces[0] = custom::RunNMS::on(final_faces_pnet0, 0.5f, false);
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//The rest PNet pyramid layers to accumlate all layers result in total_faces[PYRAMID_LEVELS - 1]]
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//The rest PNet pyramid layers to accumulate all layers result in total_faces[PYRAMID_LEVELS - 1]]
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for (int i = 1; i < pyramid_levels; ++i)
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{
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std::tie(regressions[i], scores[i]) = run_mtcnn_p(in_transposedRGB, get_pnet_level_name(level_size[i]));
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