Descendante sans lissage

Peut-être que vous recherchez Redimension () .

# Python code:
import cv2
large_img = cv2.imread('our_large_image.jpg')
small_to_large_image_size_ratio = 0.2
small_img = cv2.resize(large_img, # original image
                       (0,0), # set fx and fy, not the final size
                       fx=small_to_large_image_size_ratio, 
                       fy=small_to_large_image_size_ratio, 
                       interpolation=cv2.INTER_NEAREST)

redimension () avec interpolation = interpolation = interfolue.

edit fort> p>

hmmm, que si vous écrivez vous-même la fonction vous-même? p>

double factor;
int newcols = round(mat.cols*factor);
int newrows = round(mat.rows*factor);

Mat newmat = Mat(newcol, newrows, mat.type());

for (int i=0;i<mat.cols;i++){
    for (int j=0;j<mat.cols;j++){
        newmat_<yourtype> (round(i*factor), round(j*factor)) = mat_<yourtype>(i, j);
    }
}