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FastDeploy/docs/api/vision_results/segmentation_result_CN.md
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中文 ｜ English

SegmentationResult 目标检测结果

SegmentationResult代码定义在fastdeploy/vision/common/result.h中，用于表明图像中每个像素预测出来的分割类别和分割类别的概率值。

C++ 定义

fastdeploy::vision::SegmentationResult

struct SegmentationResult {
  std::vector<uint8_t> label_map;
  std::vector<float> score_map;
  std::vector<int64_t> shape;
  bool contain_score_map = false;
  void Clear();
  std::string Str();
};
  • label_map: 成员变量，表示单张图片每个像素点的分割类别，label_map.size()表示图片像素点的个数
  • score_map: 成员变量，与label_map一一对应的所预测的分割类别概率值(当导出模型时指定--output_op argmax)或者经过softmax归一化化后的概率值(当导出模型时指定--output_op softmax或者导出模型时指定--output_op none同时模型初始化的时候设置模型类成员属性apply_softmax=True)
  • shape: 成员变量，表示输出图片的shape，为H*W
  • Clear(): 成员函数，用于清除结构体中存储的结果
  • Str(): 成员函数，将结构体中的信息以字符串形式输出（用于Debug）

Python 定义

fastdeploy.vision.SegmentationResult

  • label_map(list of int): 成员变量，表示单张图片每个像素点的分割类别
  • score_map(list of float): 成员变量，与label_map一一对应的所预测的分割类别概率值(当导出模型时指定--output_op argmax)或者经过softmax归一化化后的概率值(当导出模型时指定--output_op softmax或者导出模型时指定--output_op none同时模型初始化的时候设置模型类成员属性apply_softmax=true)
  • shape(list of int): 成员变量，表示输出图片的shape，为H*W