12/20/2023 0 Comments Google docs resize multiple imagesIt checks for portrait or landscape because in portrait, the crop area fills the width and is offset from the height vice versa in landscape. Here's how it works, and since a picture is worth a thousand words, here's a picture of what it does: Return input_image.resize(size = (new_size,new_size),Ĭrop_box = ((width-height)//2, 0, (width-height)//2 + height, height) If omitted or None, the entire source is used.Ĭrop_box = (0, (height-width)//2, width, (height-width)//2 + width) The values must be within (0, 0, width, height) rectangle. Size – The requested size in pixels, as a 2-tuple: (width, height).īox – An optional 4-tuple of floats providing the source image region to be scaled. Image.resize(size, resample=None, box=None, reducing_gap=None)¶ ![]() Pillows Image.resize function allows you to pass in a box that you want the resized image to come from, which is exactly what you are looking for. This answer assumes you are able to use Pillow (since I can't comment to ask), which makes this so much more simple. The code works but the images are distorted. If not cv2.imwrite('output/' +str(n)+ '.jpg', resized_image): Resized_image = cv2.resize(img, resized_dimensions, interpolation=cv2.INTER_AREA) Images = cv2.imread(join(mypath, onlyfiles), Images = numpy.empty(len(onlyfiles), dtype=object) This is what I have so far tried: import cv2 ![]() please help and thank you in advance.Īnd here is the result I want for example (150x150 or any square size): It's basically resizing images the WordPress way (resize and crop intelligently). My question is simple yet I haven't found any solution on Google, all the answers are for adding padding which in my case I don't want.
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