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This commit is contained in:
kadi soheib 2020-07-03 22:05:50 +03:00
parent 96a501c08b
commit 17c430da88
1 changed files with 4 additions and 6 deletions
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8
modules/dnn/include/opencv2/dnn/all_layers.hpp
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@ -599,12 +599,10 @@ CV__DNN_EXPERIMENTAL_NS_BEGIN
}; };
/** /**
* @brief \f$ L_p \f$ - detection output layer. * @brief detection output layer.
* *
* num() and channels() are 1. * The layer size is: @f$ (1 \times 1 \times N \times 7) @f$
* Since the number of bboxes to be kept is unknown before nms, we manually * where N is the number of detections after nms, and each row is:
* set it to maximal number of detections, [keep_top_k] parameter multiplied by batch size.
* Each row is a 7 dimension std::vector, which stores
* [image_id, label, confidence, xmin, ymin, xmax, ymax] * [image_id, label, confidence, xmin, ymin, xmax, ymax]
*/ */
class CV_EXPORTS DetectionOutputLayer : public Layer class CV_EXPORTS DetectionOutputLayer : public Layer