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https://github.com/open-mmlab/mmdeploy.git
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a494a6f6ff
* sync SDK changes according to performance benchmarks * fix end-of-file lint * fix clang-format issue * fix clang-format by adding 'clang-format off' * remove useless casts * remove 'data' argument of 'operator()' * change 'Tensor2Img' to 'TensorToImg' according to spec * correct tensor's name according spec Co-authored-by: lvhan028 <lvhan_028@163.com>
38 lines
1.2 KiB
C++
38 lines
1.2 KiB
C++
// Copyright (c) OpenMMLab. All rights reserved.
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#ifndef MMDEPLOY_SRC_CODEBASE_MMDET_OBJECT_DETECTION_H_
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#define MMDEPLOY_SRC_CODEBASE_MMDET_OBJECT_DETECTION_H_
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#include "codebase/mmdet/mmdet.h"
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#include "core/tensor.h"
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#include "core/utils/formatter.h"
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namespace mmdeploy::mmdet {
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class ResizeBBox : public MMDetection {
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public:
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explicit ResizeBBox(const Value& cfg);
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Result<Value> operator()(const Value& prep_res, const Value& infer_res);
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protected:
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Result<DetectorOutput> DispatchGetBBoxes(const Value& prep_res, const Tensor& dets,
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const Tensor& labels);
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template <typename T>
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Result<DetectorOutput> GetBBoxes(const Value& prep_res, const Tensor& dets, const Tensor& labels);
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std::array<float, 4> MapToOriginImage(float left, float top, float right, float bottom,
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const float* scale_factor, float x_offset, float y_offset,
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int ori_width, int ori_height);
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protected:
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constexpr static Device kHost{0, 0};
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float score_thr_{0.f};
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float min_bbox_size_{0.f};
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};
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} // namespace mmdeploy::mmdet
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#endif // MMDEPLOY_SRC_CODEBASE_MMDET_OBJECT_DETECTION_H_
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