python pil resize image
from PIL import Image
# Image.open() can also open other image types
img = Image.open("some_random_image.jpg")
# WIDTH and HEIGHT are integers
resized_img = img.resize((WIDTH, HEIGHT))
resized_img.save("resized_image.jpg")
python pil resize image
from PIL import Image
# Image.open() can also open other image types
img = Image.open("some_random_image.jpg")
# WIDTH and HEIGHT are integers
resized_img = img.resize((WIDTH, HEIGHT))
resized_img.save("resized_image.jpg")
crop image python
from PIL import Image # import pillow library (can install with "pip install pillow")
im = Image.open('card.png')
im = im.crop( (1, 0, 826, 1125) ) # previously, image was 826 pixels wide, cropping to 825 pixels wide
im.save('card.png') # saves the image
# im.show() # opens the image
crop image python
import cv2
img = cv2.imread("lenna.png")
crop_img = img[y:y+h, x:x+w]
cv2.imshow("cropped", crop_img)
cv2.waitKey(0)
python image crop
from PIL import Image
with Image.open("hopper.jpg") as im:
# The crop method from the Image module takes four coordinates as input.
# The right can also be represented as (left+width)
# and lower can be represented as (upper+height).
(left, upper, right, lower) = (20, 20, 100, 100)
# Here the image "im" is cropped and assigned to new variable im_crop
im_crop = im.crop((left, upper, right, lower))
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