If you have any other queries then you can contact us for getting more help. Hope you have liked this “how-to” tutorial. But I will prefer you to use cv2.resize() method for it. There are also other python modules that allow you to resize an image. You can verify the size of the image using the resized_img_with_scaling.shape. Resized_img_with_scaling = cv2.resize(img,(width,height)) Scaling allows you to adjust the image proportionally so that it looks good. If you look at the above-resized image, then you will see the image is not look good after the resizing. If you print the shape of the image then you will get the output as below. I am trying to resize an contour to 28×28 pixels and to pass it through. Output Resized Image of 600×500 dimension Then I will pass these dimensions inside the resize() method. Suppose I want to resize the image to 500×600 pixels. If you print the shape of the original image then you will get a width of 1280 and a height of 960. Reducing the size of an image means changing its dimensions by removing its pixels. Output Sample image for implementing cv2 resize Step 3: Resize the image using cv2.resize() methodĪfter reading the image in step 2, in this section, I will resize the image using the resize() method. What Is Python Image-Resize Python is a popular object-oriented programming language for image-related tasks for webpages, visualizations, or when using Python for machine-learning operations through frameworks like OpenCV and Scikit Learn. There is a method in OpenCV for it and that is the cv2.imread() method. Now before resizing the image you have to read the image. The statement %matplotlib inline allows you to display all the images in inline. Make sure that you also do all the work on it for a better understanding. Please note that I am executing all examples in the Jupyter notebook. For this you can use copyMakeBorder() for a pure OpenCV implementation, or since you're using Python you can use numpy.pad(). The matplotlib module will be used for displaying the image. So, after resizing we'll end up with a 1000xN or Nx1000 image (where N<1000) and we'll need to pad it with whatever background color you want on both sides to fill the image to 1000x1000. In our example, I am using the OpenCV module and the matplotlib python module. The first and basic step is to import all the necessary libraries. Steps to Implement cv2 reize() method in python Step 1: Import all the necessary libraries In this entire tutorial, you will know how to scale and resize an image using the OpenCV cv2 resize() method with step by step. That is it for Scaling an Image in Python.Do you want to resize an image in python using cv2. We have scaled the image horizontally and vertically. We have seen scenarios where we can either preserve the aspect ratio and change the dimension or don’t preserve it. To scale an image in Python, use cv2.resize() method. # app.pyĬv2.imshow('Vertically Scaled Image', horizon_img) To scale the image vertically using OpenCV, scale the image only along the y-axis or vertical axis, and keep the image’s width unchanged. Horizon_img = cv2.resize(img, dim_size, interpolation=cv2.INTER_AREA)Ĭv2.imshow('Horizontal Scaled Image', horizon_img) To scale the image horizontally using OpenCV, scale the image only along the x-axis or horizontal axis, and keep the height of the image unchanged. Img_inter = cv2.resize(img, (600, 600), interpolation=cv2.INTER_NEAREST)Ĭv2.imshow('Nearest Interpolated Image', img_inter) We will use the nearest interpolation mode instead of the default mode. To set an interpolation mode while scaling, pass the interpolation parameter. You can see that the right side image is stretched concerning (600, 6000) dimensions. Img_stretch = cv2.resize(img, (600, 600))Ĭv2.imshow('Stretched Image', img_stretch) To stretch the image in Python, use the cv2.resize() method and pass the explicit dimensions on scaling the images. The cv2.resize() method can accept the fx and fy value to 1.5. To upscale an image in Python using opencv, use the cv2.resize() method. This will output the image that is half the size in both dimensions of the original. We will pass in a value of ( img, ), and then we pass in the absolute size, or (0,0) to not set an absolute size in pixels, and then we can optionally pass in our relative factors of fx=0.5, fy=0.5. In this example, we used a resize() image to scale half the size of our original image.
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