The original image with dimensions has been resized to using resize() function. To resize an image in Python, you can use cv2.resize() function of OpenCV library cv2. Output Original Dimensions : (149, 200, 4) Print('Resized Dimensions : ',resized.shape) Resized = cv2.resize(img, dim, interpolation = cv2.INTER_AREA) Height = int(img.shape * scale_percent / 100) Width = int(img.shape * scale_percent / 100) This method allows you to: Upscale and downscale an image, by providing specific dimensions. This tuple consists of width and height of the image as its elements. In this section, we’ll use the Pillow resize method to resize an image. The Image module from pillow library has an attribute size. The Python Pillow library provides two ways in which to resize an image: resize () and thumbnail ().
#Image resize python how to#
Scale_percent = 60 # percent of original size How to Resize an Image with Pillow resize. Print('Original Dimensions : ',img.shape) Img = cv2.imread('/home/img/python.png', cv2.IMREAD_UNCHANGED) We will use this scale_percent value along with original image’s dimensions to calculate the width and height of output image. Providing a value <100 downscales the image provided. In order to use cv2 library, you need to import cv2 library using import statement. You can use resize () method of cv2 library to resize an image. Code: Set rows and columns Downsize the image using new width and height downwidth 800 down. In this tutorial, we will see how to resize an image in python programming language using open-cv which is exist as cv2 (computer vision) library in python. In the following example, scale_percent value holds the percentage by which image has to be scaled. It will resize the image according to the specified height and width. Resize only the height (Increase or decrease the height of the image keeping width unchanged)įollowing is the original image with dimensions (149,200,4) (height, width, number of channels) on which we shall experiment on :Įxample 1 – Resize and Preserve Aspect Ratio Downscale with resize().Resize only the width (Increase or decrease the width of the image keeping height unchanged).Upscale (Increase the size of the image).Downscale (Decrease the size of the image).Preserve Aspect Ratio (height to width ratio of image is preserved).We will look into examples demonstrating the following resize operations. Resizing an image can be done in many ways. INTER_CUBIC – a bicubic interpolation over 4×4 pixel neighborhood INTER_LANCZOS4 – a Lanczos interpolation over 8×8 pixel neighborhood But when the image is zoomed, it is similar to the INTER_NEAREST method. It may be a preferred method for image decimation, as it gives moire’-free results. INTER_NEAREST – a nearest-neighbor interpolation INTER_LINEAR – a bilinear interpolation (used by default) INTER_AREA – resampling using pixel area relation. flag that takes one of the following methods. My_w.The syntax of resize function in OpenCV is cv2.resize(src, dsize]]]) Img_resized=img_old.resize((width_new,height_new))
#Image resize python install#
Because of this, we first need to install it.
#Image resize python code#
Here, the ‘imgsample.jpg’ used image sample is stored at the same location of the python code file, if not then you will need to specify the file name with its location too as ‘/images/sample.jpg’. The library isn’t part of the standard Python library. Now we need to pass the image, which we want to resize in the Image.open object of the PIL module. By using int() we are converting the float output to integer. In order to resize an image using Python, we first need to open the image that we’re working with.
In such cases we have to read the height and width of the image and then change the values equally. Some time we need to maintain the same aspect ratio while resizing the image. Here we will display the face only as resized output. We can use part of the picture or part of the area of the image with coordinates to resize. Img_resized=img_old.resize((341,256)) # new width & height My_w.title('img_old=Image.open('D:\\images\\rabbit.jpg') Original size of the image is 1024 x 768, we are reducing the size and displaying the image using one Label.
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