The original image with dimensions has been resized to using resize() function. 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) Scale_percent = 60 # percent of original size 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 the following example, scale_percent value holds the percentage by which image has to be scaled.
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 In my compossition I imported an image, I would like to scale the image in real-time (I mean using the mouse to select the image, center it in the composition and resize it to see the results in real-time because for me is more productive to do it in this way, instead of manually specifying width and height wherever) preserving the aspect ratio of the image.
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. The syntax of resize function in OpenCV is cv2.resize(src, dsize]]]) In this tutorial, we shall the syntax of cv2.resize and get hands-on with examples provided for most of the scenarios encountered in regular usage. To resize an image, OpenCV provides cv2.resize() function. Also, the aspect ratio of the original image could be preserved in the resized image. Resizing an image means changing the dimensions of it, be it width alone, height alone or changing both of them. Resize image by some percentage of the original size, so it can maintain the same aspect ratio.
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