from PIL import Image from resizeimage import resizeimage def resize_file(in_file, out_file, size): with open(in_file) as fd: image = resizeimage.resize_thumbnail(Image.open(fd), size) image.save(out_file) image.close() resize_file('foo.tif', 'foo_small.jpg', (256, 256)...
from PIL import Image import os path = "C:/path/needs/to/end/with/a/" resize_ratio = 0.5 # where 0.5 is half size, 2 is double size def resize_aspect_fit(): dirs = os.listdir(path) for item in dirs: if item == '.jpg': continue if os.path.isfile(path+item): image = Im...
open(filename) im_width, im_height = image.size if im_width > im_height: image = image.rotate(90, expand=1) im_width, im_height = image.size ratio = (PRINTER_HEIGHT/float(im_width)) height = int((float(im_height)*float(ratio))) image = image.resize((PRINTER_HEIGHT, height),...
image.size[1])) < ratioDev: diff = int(self.image.size[1] * ratioDev) - self.image.size[0] self.image = ImageOps.expand(self.image, border=(int(diff / 2), 0), fill=self.fill) elif (float(self.image.size[0]) / float(self.image.size[1])) > ratioDev: diff = int(self....
0.4: Image resize command-line tool 0.5: Facial recognition cropping 0.6: Fill resizing mode 0.7: Resize using crop position 0.7.1: Resize using a single dimension, maintaining aspect ratio 0.7.2: Added filter and quality options 0.7.3: Support python 3 0.7.4: Fixed cli for image generation...
ela_im.getextrema() max_diff = max([ex[1] for ex in extrema]) if not max_diff: return self.results scale = 255.0/max_diff ela_im = ImageEnhance.Brightness(ela_im).enhance(scale) self.results["ela"]["max_difference"] = max([ex[1] for ex in extrema]) # Resize image if it'...
:param image: The image to resize and crop. :param size: The requested output size in pixels, given as a (width, height) tuple. :param method: Resampling method to use. Default is :py:attr:`PIL.Image.BICUBIC`. See :ref:`concept-filters`. :return: An image. """ im_ratio = image...
(self.image.size[1] * ratioDev) - self.image.size[0] self.image = ImageOps.expand(self.image, border=(int(diff / 2), 0), fill=self.fill) elif (float(self.image.size[0]) / float(self.image.size[1])) > ratioDev: diff = int(self.image.size[0] / ratioDev) - self.image....
there is a dip in image quality despite setting quality to 100. I don't know enough about PIL to mess around with this code, and I'm not sure how to increase the IQ, so what I'd like to do is put in a conditional that says if image width > 600 then resize image (that way ...
0.4: Image resize command-line tool 0.5: Facial recognition cropping 0.6: Fill resizing mode 0.7: Resize using crop position 0.7.1: Resize using a single dimension, maintaining aspect ratio 0.7.2: Added filter and quality options 0.7.3: Support python 3 ...