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https://github.com/PaddlePaddle/FastDeploy.git
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625845c7d6
* Update ppseg backend support type * Update ppseg preprocess if condition * Update README.md * Update README.md * Update README.md * Update ppseg with eigen functions * Delete old argmax function * Update README.md * Delete apply_softmax in ppseg example demo * Update ppseg code with createFromTensor function * Delete FDTensor2CVMat function * Update README.md * Update README.md * Update README.md * Update README.md * Update ppseg model.cc with transpose&&softmax in place convert * Update segmentation_result.md * Update model.cc * Update README.md * Update README.md Co-authored-by: Jason <jiangjiajun@baidu.com>
48 lines
1.3 KiB
C++
48 lines
1.3 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 ModelFormat& model_format = ModelFormat::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 apply_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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bool Postprocess(FDTensor* infer_result, SegmentationResult* result,
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const std::map<std::string, std::array<int, 2>>& im_info);
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bool is_resized = false;
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bool is_with_softmax = false;
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bool is_with_argmax = true;
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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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} // namespace segmentation
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} // namespace vision
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} // namespace fastdeploy
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