f4334277
 Hu Chunming
提交3rdparty
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// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html.
#ifndef OPENCV_DNN_SRC_CUDA4DNN_KERNELS_DETECTION_OUTPUT_HPP
#define OPENCV_DNN_SRC_CUDA4DNN_KERNELS_DETECTION_OUTPUT_HPP
#include "../csl/stream.hpp"
#include "../csl/span.hpp"
#include "../csl/tensor.hpp"
namespace cv { namespace dnn { namespace cuda4dnn { namespace kernels {
template <class T>
void decode_bboxes(const csl::Stream& stream, csl::Span<T> output, csl::View<T> locations, csl::View<T> priors,
std::size_t num_loc_classes, bool share_location, std::size_t background_label_id,
bool transpose_location, bool variance_encoded_in_target,
bool corner_true_or_center_false, bool normalized_bbox,
bool clip_box, float clip_width, float clip_height);
template <class T>
void findTopK(const csl::Stream& stream, csl::TensorSpan<int> indices, csl::TensorSpan<int> count, csl::TensorView<T> scores, std::size_t background_label_id, float threshold);
template <class T>
void box_collect(const csl::Stream& stream, csl::TensorSpan<T> collected_bboxes, csl::TensorView<T> decoded_bboxes, csl::TensorView<int> indices, csl::TensorView<int> count, bool share_location, std::size_t background_label_id);
template <class T>
void blockwise_class_nms(const csl::Stream& stream, csl::TensorSpan<int> indices, csl::TensorSpan<int> count, csl::TensorView<T> collected_bboxes,
bool normalized_bbox, std::size_t background_label_id, float nms_threshold);
template <class T>
void nms_collect(const csl::Stream& stream, csl::TensorSpan<int> kept_indices, csl::TensorSpan<int> kept_count,
csl::TensorView<int> indices, csl::TensorView<int> count, csl::TensorView<T> scores, float, std::size_t background_label_id);
template <class T>
void consolidate_detections(const csl::Stream& stream, csl::TensorSpan<T> output,
csl::TensorView<int> kept_indices, csl::TensorView<int> kept_count,
csl::TensorView<T> decoded_bboxes, csl::TensorView<T> scores, bool share_location, csl::DevicePtr<int> num_detections);
}}}} /* namespace cv::dnn::cuda4dnn::kernels */
#endif /* OPENCV_DNN_SRC_CUDA4DNN_KERNELS_DETECTION_OUTPUT_HPP */
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