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	02bd22422e
	
	
	
		
			
			* add GPL lisence * add GPL-3.0 lisence * add GPL-3.0 lisence * add GPL-3.0 lisence * support yolov8 * add pybind for yolov8 * add yolov8 readme Co-authored-by: DefTruth <31974251+DefTruth@users.noreply.github.com>
		
			
				
	
	
		
			76 lines
		
	
	
		
			2.4 KiB
		
	
	
	
		
			C++
		
	
	
		
			Executable File
		
	
	
	
	
			
		
		
	
	
			76 lines
		
	
	
		
			2.4 KiB
		
	
	
	
		
			C++
		
	
	
		
			Executable File
		
	
	
	
	
| // Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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| //
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| // Licensed under the Apache License, Version 2.0 (the "License");
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| // you may not use this file except in compliance with the License.
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| // You may obtain a copy of the License at
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| //
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| //     http://www.apache.org/licenses/LICENSE-2.0
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| //
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| // Unless required by applicable law or agreed to in writing, software
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| // distributed under the License is distributed on an "AS IS" BASIS,
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| // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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| // See the License for the specific language governing permissions and
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| // limitations under the License.
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| 
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| #pragma once
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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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| 
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| namespace fastdeploy {
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| namespace vision {
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| 
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| namespace detection {
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| /*! @brief Postprocessor object for YOLOv8 serials model.
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|  */
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| class FASTDEPLOY_DECL YOLOv8Postprocessor {
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|  public:
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|   /** \brief Create a postprocessor instance for YOLOv8 serials model
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|    */
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|   YOLOv8Postprocessor();
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| 
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|   /** \brief Process the result of runtime and fill to DetectionResult structure
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|    *
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|    * \param[in] tensors The inference result from runtime
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|    * \param[in] result The output result of detection
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|    * \param[in] ims_info The shape info list, record input_shape and output_shape
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|    * \return true if the postprocess successed, otherwise false
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|    */
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|   bool Run(const std::vector<FDTensor>& tensors,
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|      std::vector<DetectionResult>* results,
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|      const std::vector<std::map<std::string, std::array<float, 2>>>& ims_info);
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| 
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|   /// Set conf_threshold, default 0.25
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|   void SetConfThreshold(const float& conf_threshold) {
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|     conf_threshold_ = conf_threshold;
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|   }
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| 
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|   /// Get conf_threshold, default 0.25
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|   float GetConfThreshold() const { return conf_threshold_; }
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| 
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|   /// Set nms_threshold, default 0.5
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|   void SetNMSThreshold(const float& nms_threshold) {
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|     nms_threshold_ = nms_threshold;
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|   }
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| 
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|   /// Get nms_threshold, default 0.5
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|   float GetNMSThreshold() const { return nms_threshold_; }
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| 
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|   /// Set multi_label, set true for eval, default true
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|   void SetMultiLabel(bool multi_label) {
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|     multi_label_ = multi_label;
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|   }
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| 
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|   /// Get multi_label, default true
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|   bool GetMultiLabel() const { return multi_label_; }
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| 
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|  protected:
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|   float conf_threshold_;
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|   float nms_threshold_;
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|   bool multi_label_;
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|   float max_wh_;
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| };
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| 
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| }  // namespace detection
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| }  // namespace vision
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| }  // namespace fastdeploy
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