ResizedImageInfo

Description

Records the resizing mode used during model preprocessing in an image task, which is then provided for coordinate restoration during model postprocessing.

Structure Definition

class ResizedImageInfo {
public:
    
    ResizedImageInfo() {}
    ResizedImageInfo(uint32_t wResize, uint32_t hResize, uint32_t wOriginal, uint32_t hOriginal, ResizeType rType, float kARScaling) :
                     widthResize(wResize), heightResize(hResize), widthOriginal(wOriginal), heightOriginal(hOriginal), resizeType(rType),
                     keepAspectRatioScaling(kARScaling) {}
    uint32_t widthResize = 0;
    uint32_t heightResize = 0;
    uint32_t widthOriginal = 0;
    uint32_t heightOriginal = 0;
    ResizeType resizeType = RESIZER_STRETCHING;
    float keepAspectRatioScaling = 0;
};

Parameters

Parameter	Description
widthResize	Width of the resized image, that is, the input width of the model
heightResize	Height of the resized image, that is, the input height of the model
widthOriginal	Image width prior to resizing
heightOriginal	Image height prior to resizing
resizeType	Image resizing mode (enumeration): RESIZER_STRETCHING: stretch mode, which is the default resizing mode. RESIZER_TF_KEEP_ASPECT_RATIO: resizing with the aspect ratio preserved, corresponding to the Fast R-CNN resizing mode of the TensorFlow framework. RESIZER_MS_KEEP_ASPECT_RATIO: resizing with the aspect ratio preserved, which proportionally resizes the image to maximize the area of the specified width and height.
keepAspectRatioScaling	Ratio for resizing with the aspect ratio preserved. This parameter is valid only for resizing with the aspect ratio preserved.

Parent topic: General Data Structures