In the Python program below, we resize the input image using different scaling factors and interpolations.Cv::InterpolationFlags \). Code : import cv2 file '/home/tanmay/Desktop/testimage.png' img cv2.imread (file, 0) print (img.shape) cv2.imshow ('img', img) k cv2.waitKey (0) if k 27: cv2.destroyWindow ('img') resizeimg cv2.resize (img, (28, 28)) cv2.imshow ('img', resizeimg) x cv2.waitKey (0) if x 27: cv2. Then we will see various examples of resizing the images using this function. We shall first cover the syntax of cv2.resize () and understand its various parameters and options. New height and width of original image: 340, 450Īnd it will display the following output window showing the original and resized images. Introduction In this tutorial, we will explain how to scale and resize image in Python by using the OpenCV function cv2.resize (). Note that the initial dst type or size are not taken into account. When you run the above program, it will produce the following output − Height and width of original image: 465, 700 The function resize resizes the image src down to or up to the specified size. resize (img, new_size ) # Convert the images from BGR to RGB Print ( f"Height and width of original image: " ) Downscale (Decrease the size of the image) Upscale (Increase the size of the image) Do not preserve Aspect Ratio Resize only the width (Increase. We will use Python version 3.6.0, OpenCV version 3.2.0. In the following Python program, we resize the input image to new_size = 450, 340). Examples for using cv2.resize () Preserve Aspect Ratio (height to width ratio of image is preserved) Downscale (Decrease the size of the image) Upscale. 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. We will use this image as the input file in the following examples − Let's understand the different image resizing options with the help of some Python examples. Resize_img = cv2.resize(img,(0, 0),fx=0.5, fy=0.7, interpolation = cv2.INTER_AREA)ĭisplay the resized image(s). You can use max (sizes) - size value of the image in a while loop to add the padding to each image. import cv2 import glob for filename in glob.glob images/. fx and fy are scale factors to width and height respectively. You can use: image cv2.copyMakeBorder (src, top, bottom, left, right, borderType) Where src is your source image and top, bottom, left, right are the padding around the image. I assume that you have a list of images in some folder and you to resize all of them. Resize the image passing the new_size or the scaling factors fx and fy and the interpolation. Specify the full image path with image types (.jpg or. Read an image using cv2.imread() function. Make sure you have already installed them. Resizing, by default, does only change the width and height of the image. In all the following Python examples, the required Python libraries are OpenCV and Matplotlib. To resize an image in Python, you can use cv2.resize() function of OpenCV library cv2. You can use the following steps to resize an image − What is Resizing and Why should you consider the Aspect Ratio Resizing, or also known as scaling refers to the process of either increasing or decreasing the size of an image in response to it’s width and height. There are different interpolation methods used in cv2.resize() function −Ĭv2.INTER_AREA − Used for shrinking an image.Ĭv2.INTER_CUBIC − It’s slow, used for zooming.Ĭv2.INTER_LINEAR − Used for zooming. This tutorial will teach you how to resize an image with Python and OpenCV using the cv2.resize function. The aspect ratio is preserved when we specify the scaling factor. We can resize an image by specifying the image size or scaling factor. Resizing in OpenCV is referred to as scaling. OpenCV provides the function cv2.resize() to resize an image.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |