But if it's just part of your algorithm, you can simply use resize to resize your image to a max dimension of 1000 and then pad the remaining bits with copyMakeBorder. cv2 resize can upscale, downscale, resize to a desired size while considering aspect ratio. Image = cv2.imread ( " C: //gfg//tomatoes.jpg ", 1 ) 1 If you're looking just to process a bunch of images to this size, this can be accomplished with a single bash command with ImageMagick or similar.no need to use OpenCV. To resize image in Python, OpenCV cv2.resize() can be used. Import matplotlib.pyplot as plt % matplotlib qt 47 l have a set of images of different sizes (45,50,3), (69,34,3), (34,98,3). cv2.INTER_LINEAR : This is mainly used when enlargement is required. This is the default interpolation method in OenCV.cv2.INTER_CUBIC : This is slower but more efficient. An image can be resized in the following ways.import cv2 import matplotlib.pyplot as plt Read an image using cv2.imread () function. Make sure you have already installed them. In all the following Python examples, the required Python libraries are OpenCV and Matplotlib. INTER_AREA : This is used when we need to shrink the image. You can use the following steps to resize an image Import the required libraries. Either skew it or enlarge it to fit the size requirements. OpenCV provides us with several interpolation methods for resizing an image.Ĭhoosing an interpolation method for resizing. We will use Python version 3.6.0, OpenCV version 3.2.0.
#Resize image cv2 how to
It also helps in enlarging images. In many cases, we need to resize the image, i.e. Quick Recap on Comands How to Resize an Image in Python in Short In this article, we will cover the basics of image manipulation in OpenCV and how to resize an image in Python, its cropping, and rotating techniques. Detailed Description The functions in this section perform various geometrical transformations of 2D images.
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