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| author | Isabella Gottardi <isabella.gottardi@arm.com> | 2019-01-08 13:48:44 +0000 |
|---|---|---|
| committer | Isabella Gottardi <isabella.gottardi@arm.com> | 2019-08-06 07:58:16 +0000 |
| commit | a7acb3cbabeb66ce647684466a04c96b2963c9c9 (patch) | |
| tree | 7988b75372c8ad1dfa3c8d028ab3a603a5e5a047 /arm_compute/runtime/CPP/functions/CPPDetectionOutputLayer.h | |
| parent | 4746326ecb075dcfa123aaa8b38de5ec3e534b60 (diff) | |
| download | ComputeLibrary-a7acb3cbabeb66ce647684466a04c96b2963c9c9.tar.gz | |
COMPMID-1849: Implement CPPDetectionPostProcessLayer
* Add DetectionPostProcessLayer
* Add DetectionPostProcessLayer at the graph
Change-Id: I7e56f6cffc26f112d26dfe74853085bb8ec7d849
Signed-off-by: Isabella Gottardi <isabella.gottardi@arm.com>
Reviewed-on: https://review.mlplatform.org/c/1639
Reviewed-by: Giuseppe Rossini <giuseppe.rossini@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'arm_compute/runtime/CPP/functions/CPPDetectionOutputLayer.h')
| -rw-r--r-- | arm_compute/runtime/CPP/functions/CPPDetectionOutputLayer.h | 9 |
1 files changed, 1 insertions, 8 deletions
diff --git a/arm_compute/runtime/CPP/functions/CPPDetectionOutputLayer.h b/arm_compute/runtime/CPP/functions/CPPDetectionOutputLayer.h index 71be8a0ad8..4e1b8f2a74 100644 --- a/arm_compute/runtime/CPP/functions/CPPDetectionOutputLayer.h +++ b/arm_compute/runtime/CPP/functions/CPPDetectionOutputLayer.h @@ -28,17 +28,10 @@ #include "arm_compute/core/Types.h" -#include <map> - namespace arm_compute { class ITensor; -// Normalized Bounding Box [xmin, ymin, xmax, ymax] -using NormalizedBBox = std::array<float, 4>; -// LabelBBox used for map label and bounding box -using LabelBBox = std::map<int, std::vector<NormalizedBBox>>; - /** CPP Function to generate the detection output based on location and confidence * predictions by doing non maximum suppression. * @@ -91,7 +84,7 @@ private: std::vector<LabelBBox> _all_location_predictions; std::vector<std::map<int, std::vector<float>>> _all_confidence_scores; - std::vector<NormalizedBBox> _all_prior_bboxes; + std::vector<BBox> _all_prior_bboxes; std::vector<std::array<float, 4>> _all_prior_variances; std::vector<LabelBBox> _all_decode_bboxes; std::vector<std::map<int, std::vector<int>>> _all_indices; |