Given an input image test.png, how to resize it (downsizing) such that it fits in a 400x500 pixels box, keeping aspect ratio?
Is it possible directly with cv2.resize, or do we have to compute the sizing factor manually?
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1manually. You can use some utility library such as github.com/jrosebr1/imutils#resizingMiki– Miki2020-10-30 13:57:21 +00:00Commented Oct 30, 2020 at 13:57
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2 Answers
It seems there is no helper function for this already built-in in cv2. Here is a working solution:
maxwidth, maxheight = 400, 500
import cv2
img = cv2.imread('test2.png')
f1 = maxwidth / img.shape[1]
f2 = maxheight / img.shape[0]
f = min(f1, f2) # resizing factor
dim = (int(img.shape[1] * f), int(img.shape[0] * f))
resized = cv2.resize(img, dim)
cv2.imwrite('out.png', resized)
Comments
Answer of @Basj as a function:
def resize_image_to_fit_to_box(img: np.array, max_width: int, max_height: int):
f1 = max_width / img.shape[1]
f2 = max_height / img.shape[0]
f = min(f1, f2) # resizing factor
# Img fits already into dimensions
if f >= 1:
return img
dim = (int(img.shape[1] * f), int(img.shape[0] * f))
resized = cv2.resize(img, dim)
return resized
