File size: 2,404 Bytes
7fc5a59 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 | #ifndef OPENPOSE_NET_NMS_CAFFE_HPP
#define OPENPOSE_NET_NMS_CAFFE_HPP
#include <openpose/core/common.hpp>
namespace op
{
// It mostly follows the Caffe::layer implementation, so Caffe users can easily use it. However, in order to keep
// the compatibility with any generic Caffe version, we keep this 'layer' inside our library rather than in the
// Caffe code.
template <typename T>
class NmsCaffe
{
public:
explicit NmsCaffe();
virtual ~NmsCaffe();
virtual void LayerSetUp(const std::vector<ArrayCpuGpu<T>*>& bottom, const std::vector<ArrayCpuGpu<T>*>& top);
virtual void Reshape(const std::vector<ArrayCpuGpu<T>*>& bottom, const std::vector<ArrayCpuGpu<T>*>& top,
const int maxPeaks, const int outputChannels = -1, const int gpuID = 0);
virtual inline const char* type() const { return "Nms"; }
void setThreshold(const T threshold);
// Empirically gives better results (copied from Matlab original code)
void setOffset(const Point<T>& offset);
virtual void Forward(const std::vector<ArrayCpuGpu<T>*>& bottom, const std::vector<ArrayCpuGpu<T>*>& top);
virtual void Forward_cpu(const std::vector<ArrayCpuGpu<T>*>& bottom, const std::vector<ArrayCpuGpu<T>*>& top);
virtual void Forward_gpu(const std::vector<ArrayCpuGpu<T>*>& bottom, const std::vector<ArrayCpuGpu<T>*>& top);
virtual void Forward_ocl(const std::vector<ArrayCpuGpu<T>*>& bottom, const std::vector<ArrayCpuGpu<T>*>& top);
virtual void Backward_cpu(const std::vector<ArrayCpuGpu<T>*>& top, const std::vector<bool>& propagate_down,
const std::vector<ArrayCpuGpu<T>*>& bottom);
virtual void Backward_gpu(const std::vector<ArrayCpuGpu<T>*>& top, const std::vector<bool>& propagate_down,
const std::vector<ArrayCpuGpu<T>*>& bottom);
private:
T mThreshold;
Point<T> mOffset;
int mGpuID;
// PIMPL idiom
// http://www.cppsamples.com/common-tasks/pimpl.html
struct ImplNmsCaffe;
std::unique_ptr<ImplNmsCaffe> upImpl;
// PIMP requires DELETE_COPY & destructor, or extra code
// http://oliora.github.io/2015/12/29/pimpl-and-rule-of-zero.html
DELETE_COPY(NmsCaffe);
};
}
#endif // OPENPOSE_NET_NMS_CAFFE_HPP
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