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Target Detection Result
The DetectionResult code is defined in fastdeploy/vision/common/result.h, and is used to indicate the target frame, target class and target confidence level detected in the image.
C++ Definition
fastdeploy::vision::DetectionResult
struct DetectionResult {
std::vector<std::array<float, 4>> boxes;
std::vector<float> scores;
std::vector<int32_t> label_ids;
std::vector<Mask> masks;
bool contain_masks = false;
void Clear();
std::string Str();
};
- boxes: Member variable which indicates the coordinates of all detected target boxes in a single image.
boxes.size()indicates the number of boxes, each box is represented by 4 float values in order of xmin, ymin, xmax, ymax, i.e. the coordinates of the top left and bottom right corner. - scores: Member variable which indicates the confidence level of all targets detected in a single image, where the number of elements is the same as
boxes.size(). - label_ids: Member variable which indicates all target categories detected in a single image, where the number of elements is the same as
boxes.size(). - masks: Member variable which indicates all detected instance masks of a single image, where the number of elements and the shape size are the same as
boxes. - contain_masks: Member variable which indicates whether the detected result contains instance masks, which is generally true for the instance segmentation model.
- 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).
fastdeploy::vision::Mask
struct Mask {
std::vector<int32_t> data;
std::vector<int64_t> shape; // (H,W) ...
void Clear();
std::string Str();
};
- data: Member variable which indicates a detected mask.
- shape: Member variable which indicates the shape of the mask, e.g. (h,w).
- 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.DetectionResult
- boxes(list of list(float)): Member variable which indicates the coordinates of all detected target boxes in a single frame. It is a list, and each element in it is also a list of length 4, representing a box with 4 float values representing xmin, ymin, xmax, ymax, i.e. the coordinates of the top left and bottom right corner.
- scores(list of float): Member variable which indicates the confidence level of all targets detected in a single image.
- label_ids(list of int): Member variable which indicates all target categories detected in a single image.
- masks: Member variable which indicates all detected instance masks of a single image, where the number of elements and the shape size are the same as
boxes. - contain_masks: Member variable which indicates whether the detected result contains instance masks, which is generally true for the instance segmentation model.
fastdeploy.vision.Mask
- data: Member variable which indicates a detected mask.
- shape: Member variable which indicates the shape of the mask, e.g. (h,w).