718c41634f
1.项目后端整体迁移至PaddleOCR-NCNN算法，已通过基本的兼容性测试 2.工程改为使用CMake组织，后续为了更好地兼容第三方库，不再提供QMake工程 3.重整权利声明文件，重整代码工程，确保最小化侵权风险 Log: 切换后端至PaddleOCR-NCNN，切换工程为CMake Change-Id: I4d5d2c5d37505a4a24b389b1a4c5d12f17bfa38c
76 lines
2.4 KiB
C++
76 lines
2.4 KiB
C++
// This file is part of OpenCV project.
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// It is subject to the license terms in the LICENSE file found in the top-level directory
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// of this distribution and at http://opencv.org/license.html.
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#ifndef OPENCV_DNN_SRC_CUDA4DNN_PRIMITIVES_REORG_HPP
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#define OPENCV_DNN_SRC_CUDA4DNN_PRIMITIVES_REORG_HPP
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#include "../../op_cuda.hpp"
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#include "../csl/stream.hpp"
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#include "../kernels/permute.hpp"
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#include <opencv2/core.hpp>
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#include <vector>
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#include <utility>
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namespace cv { namespace dnn { namespace cuda4dnn {
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template <class T>
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class ReorgOp final : public CUDABackendNode {
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public:
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using wrapper_type = GetCUDABackendWrapperType<T>;
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ReorgOp(csl::Stream stream_, std::size_t stride_)
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: stream(std::move(stream_)), stride{ stride_ } { }
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void forward(
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const std::vector<cv::Ptr<BackendWrapper>>& inputs,
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const std::vector<cv::Ptr<BackendWrapper>>& outputs,
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csl::Workspace& workspace) override
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{
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CV_Assert(inputs.size() == 1 && outputs.size() == 1);
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auto input_wrapper = inputs[0].dynamicCast<wrapper_type>();
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auto input = input_wrapper->getView();
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auto output_wrapper = outputs[0].dynamicCast<wrapper_type>();
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auto output = output_wrapper->getSpan();
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const std::size_t permute_input_shape[] = {
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input.get_axis_size(0),
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input.get_axis_size(1) * input.get_axis_size(2) / (stride * stride),
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stride,
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input.get_axis_size(3),
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stride
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};
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constexpr std::size_t order[] = { 0, 2, 4, 1, 3 };
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const std::size_t permute_output_shape[] = {
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permute_input_shape[order[0]],
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permute_input_shape[order[1]],
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permute_input_shape[order[2]],
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permute_input_shape[order[3]],
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permute_input_shape[order[4]]
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};
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input.unsqueeze();
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input.reshape(std::begin(permute_input_shape), std::end(permute_input_shape));
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output.unsqueeze();
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output.reshape(std::begin(permute_output_shape), std::end(permute_output_shape));
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kernels::permute(stream, output, input, { std::begin(order), std::end(order) });
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}
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private:
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csl::Stream stream;
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std::size_t stride;
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};
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}}} /* namespace cv::dnn::cuda4dnn */
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#endif /* OPENCV_DNN_SRC_CUDA4DNN_PRIMITIVES_REORG_HPP */
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