resize
Usage
Scales up or down an image. You can adjust the image width and height by specifying the target size or scaling factor.
Multiple interpolation modes, such as cv2.INTER_LINEAR, cv2.INTER_CUBIC, and cv2.INTER_NEAREST_EXACT, are available to maintain the image quality during scaling.
Interface
1 | cv2.resize(src, dsize, fx=0, fy=0, interpolation=cv2.INTER_LINEAR) |
Parameters
Parameter |
Description |
Value Range |
Input/Output |
|---|---|---|---|
src |
Input image. |
Not null |
Input |
dsize |
Size (width and height) of the target image. If this parameter is specified, the values of fx and fy are invalid. If this parameter is set to (0, 0) or not specified, the values of fx and fy are used. |
Tuple (x, y), where x and y are positive integers |
Input |
fx |
Horizontal scaling factor. The default value is 0. |
(0, inf) |
Input |
fy |
Vertical scaling factor. The default value is 0. |
(0, inf) |
Input |
interpolation |
Interpolation mode. The value can be cv2.INTER_LINEAR (default), cv2.INTER_NEAREST_EXACT, or cv2.INTER_CUBIC. |
cv2.INTER_LINEAR (default), cv2.INTER_NEAREST_EXACT, cv2.INTER_CUBIC |
Input |
Return Value
- Output image
Example
1 2 3 4 5 6 7 8 9 10 11 12 13 | import numpy as np import cv2 # Create a 5x5 image. src = np.array([[0, 0, 0, 0, 0], [0, 1, 1, 1, 0], [0, 1, 0, 1, 0], [0, 1, 1, 1, 0], [0, 0, 0, 0, 0]], dtype=np.uint8) dst = cv2.resize(src, dsize=(10, 10), interpolation=cv2.INTER_LINEAR) print(dst) |
Output:
1 2 3 4 5 6 7 8 9 10 | [[0 0 0 0 0 0 0 0 0 0] [0 0 0 0 0 0 0 0 0 0] [0 0 1 1 1 1 1 1 0 0] [0 0 1 1 1 1 1 1 0 0] [0 0 1 1 0 0 1 1 0 0] [0 0 1 1 0 0 1 1 0 0] [0 0 1 1 1 1 1 1 0 0] [0 0 1 1 1 1 1 1 0 0] [0 0 0 0 0 0 0 0 0 0] [0 0 0 0 0 0 0 0 0 0]] |