[−][src]Function opencv::dnn::blob_from_images

pub fn blob_from_images(
    images: &dyn ToInputArray, 
    scalefactor: f64, 
    size: Size, 
    mean: Scalar, 
    swap_rb: bool, 
    crop: bool, 
    ddepth: i32
) -> Result<Mat>

Creates 4-dimensional blob from series of images. Optionally resizes and crops @p images from center, subtract @p mean values, scales values by @p scalefactor, swap Blue and Red channels.

Parameters

  • images: input images (all with 1-, 3- or 4-channels).
  • size: spatial size for output image
  • mean: scalar with mean values which are subtracted from channels. Values are intended to be in (mean-R, mean-G, mean-B) order if @p image has BGR ordering and @p swapRB is true.
  • scalefactor: multiplier for @p images values.
  • swapRB: flag which indicates that swap first and last channels in 3-channel image is necessary.
  • crop: flag which indicates whether image will be cropped after resize or not
  • ddepth: Depth of output blob. Choose CV_32F or CV_8U. @details if @p crop is true, input image is resized so one side after resize is equal to corresponding dimension in @p size and another one is equal or larger. Then, crop from the center is performed. If @p crop is false, direct resize without cropping and preserving aspect ratio is performed.

Returns

4-dimensional Mat with NCHW dimensions order.

C++ default parameters

  • scalefactor: 1.0
  • size: Size()
  • mean: Scalar()
  • swap_rb: false
  • crop: false
  • ddepth: CV_32F