Resampling a numpy array representing an image

Based on your description, you want scipy.ndimage.zoom. Bilinear interpolation would be order=1, nearest is order=0, and cubic is the default (order=3). zoom is specifically for regularly-gridded data that you want to resample to a new resolution. As a quick example: import numpy as np import scipy.ndimage x = np.arange(9).reshape(3,3) print ‘Original array:’ print x print … Read more

PIL “IOError: image file truncated” with big images

I’m a little late to reply here, but I ran into a similar problem and I wanted to share my solution. First, here’s a pretty typical stack trace for this problem: Traceback (most recent call last): … File …, line 2064, in … im.thumbnail(DEFAULT_THUMBNAIL_SIZE, Image.ANTIALIAS) File “/Library/Python/2.7/site-packages/PIL/Image.py”, line 1572, in thumbnail self.load() File “/Library/Python/2.7/site-packages/PIL/ImageFile.py”, line … Read more

Center-/middle-align text with PIL?

Deprecation Warning: textsize is deprecated and will be removed in Pillow 10 (2023-07-01). Use textbbox or textlength instead. Code using textbbox instead of textsize. from PIL import Image, ImageDraw, ImageFont def create_image(size, bgColor, message, font, fontColor): W, H = size image = Image.new(‘RGB’, size, bgColor) draw = ImageDraw.Draw(image) _, _, w, h = draw.textbbox((0, 0), … Read more

How do you composite an image onto another image with PIL in Python?

This can be accomplished with an Image instance’s paste method: from PIL import Image img = Image.open(‘/path/to/file’, ‘r’) img_w, img_h = img.size background = Image.new(‘RGBA’, (1440, 900), (255, 255, 255, 255)) bg_w, bg_h = background.size offset = ((bg_w – img_w) // 2, (bg_h – img_h) // 2) background.paste(img, offset) background.save(‘out.png’) This and many other PIL … Read more

Convert PIL Image to byte array?

Thanks everyone for your help. Finally got it resolved!! import io img = Image.open(fh, mode=”r”) roi_img = img.crop(box) img_byte_arr = io.BytesIO() roi_img.save(img_byte_arr, format=”PNG”) img_byte_arr = img_byte_arr.getvalue() With this i don’t have to save the cropped image in my hard disc and I’m able to retrieve the byte array from a PIL cropped image.

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