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https://github.com/PaddlePaddle/FastDeploy.git
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32047016d6
* Update README.md * Update README.md * Update README.md * Create README.md * Update README.md * Update README.md * Update README.md * Update README.md * Add evaluation calculate time and fix some bugs * Update classification __init__ * Move to ppseg Co-authored-by: Jason <jiangjiajun@baidu.com>
47 lines
1.4 KiB
C++
47 lines
1.4 KiB
C++
#pragma once
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#include "fastdeploy/fastdeploy_model.h"
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#include "fastdeploy/vision/common/processors/transform.h"
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#include "fastdeploy/vision/common/result.h"
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namespace fastdeploy {
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namespace vision {
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namespace segmentation {
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class FASTDEPLOY_DECL PaddleSegModel : public FastDeployModel {
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public:
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PaddleSegModel(const std::string& model_file, const std::string& params_file,
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const std::string& config_file,
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const RuntimeOption& custom_option = RuntimeOption(),
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const Frontend& model_format = Frontend::PADDLE);
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std::string ModelName() const { return "PaddleSeg"; }
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virtual bool Predict(cv::Mat* im, SegmentationResult* result);
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bool with_softmax = false;
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bool is_vertical_screen = false;
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private:
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bool Initialize();
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bool BuildPreprocessPipelineFromConfig();
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bool Preprocess(Mat* mat, FDTensor* outputs,
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std::map<std::string, std::array<int, 2>>* im_info);
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bool Postprocess(FDTensor& infer_result, SegmentationResult* result,
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std::map<std::string, std::array<int, 2>>* im_info);
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bool is_resized = false;
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std::vector<std::shared_ptr<Processor>> processors_;
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std::string config_file_;
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};
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void FDTensor2FP32CVMat(cv::Mat& mat, FDTensor& infer_result,
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bool contain_score_map);
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} // namespace segmentation
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} // namespace vision
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} // namespace fastdeploy
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