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Image Classification Result

The ClassifyResult code is defined in fastdeploy/vision/common/result.h, and is used to indicate the classification result and confidence level of the image.

C++ Definition

fastdeploy::vision::ClassifyResult

struct ClassifyResult {
  std::vector<int32_t> label_ids;
  std::vector<float> scores;
  void Clear();
  std::string Str();
};
  • label_ids: Member variable which indicates the classification results of a single image. Its number is determined by the topk passed in when using the classification model, e.g. it can return the top 5 classification results.
  • scores: Member variable which indicates the confidence level of a single image on the corresponding classification result. Its number is determined by the topk passed in when using the classification model, e.g. it can return the top 5 classification confidence level.
  • Clear(): Member function used to clear the results stored in the structure.
  • Str(): Member function used to output the information in the structure as string (for Debug).

Python Definition

fastdeploy.vision.ClassifyResult

  • label_ids(list of int): Member variable which indicates the classification results of a single image. Its number is determined by the topk passed in when using the classification model, e.g. it can return the top 5 classification results.
  • scores(list of float): Member variable which indicates the confidence level of a single image on the corresponding classification result. Its number is determined by the topk passed in when using the classification model, e.g. it can return the top 5 classification confidence level.

C# Definition

fastdeploy.vision.ClassifyResult

public struct ClassifyResult {
  public List<int> label_ids;
  public List<float> scores;
}
  • label_ids(list of int): Member variable which indicates the classification results of a single image. Its number is determined by the topk passed in when using the classification model, e.g. it can return the top 5 classification results.
  • scores(list of float): Member variable which indicates the confidence level of a single image on the corresponding classification result. Its number is determined by the topk passed in when using the classification model, e.g. it can return the top 5 classification confidence level.

C Definition

typedef struct FD_C_ClassifyResult {
  FD_C_OneDimArrayInt32 label_ids;
  FD_C_OneDimArrayFloat scores;
} FD_C_ClassifyResult;
  • label_ids(FD_C_OneDimArrayInt32): Member variable which indicates the classification results of a single image. Its number is determined by the topk passed in when using the classification model, e.g. it can return the top 5 classification results.FD_C_OneDimArrayInt32 includes two fields，i.e. size and data，in which size represents the number of elements，and data is the array to store elements.
typedef struct FD_C_OneDimArrayInt32 {
  size_t size;
  int32_t* data;
} FD_C_OneDimArrayInt32;
  • scores(FD_C_OneDimArrayFloat): Member variable which indicates the confidence level of a single image on the corresponding classification result. Its number is determined by the topk passed in when using the classification model, e.g. it can return the top 5 classification confidence level. FD_C_OneDimArrayFloat includes two fields，i.e. size and data，in which size represents the number of elements，and data is the array to store elements.
typedef struct FD_C_OneDimArrayFloat {
  size_t size;
  float* data;
} FD_C_OneDimArrayFloat;