I am trying to combine 4 images, image 1 on top left, image 2 on top right, image 3 on bottom left and image 4 on bottom right. However, my images are different sizes and not sure how to resize the images to same size. I am pretty new to Python and this is my first time using PIL.
I have this so far (after opening the images)
img1 = img1.resize(img2.size)
img1 = img1.resize(img3.size)
img1 = img1.resize(img4.size)
This shall suffice your basic requirement.
This shall suffice your basic requirement.
Steps:
Images are read and stored to list of arrays using io.imread(img) in
a list comprehension.
We resize images to custom height and width.You can change IMAGE_WIDTH,IMAGE_HEIGHT as per your need with respect
to the input image size.
You just have to pass the location of n
images (n=4 for your case) to the function.
If you are
passing more than 2 images (for your case 4), it will work create 2
rows of images. In the top row, images in the first half of the list
are stacked and the remaining ones are placed in bottom row using
hconcat().
The two rows are stacked vertically using vconcat().
Finally, we convert the result to RGB image using
image.convert("RGB") and is saved using image.save().
The code:
import cv2
from PIL import Image
from skimage import io
IMAGE_WIDTH = 1920
IMAGE_HEIGHT = 1080
def create_collage(images):
images = [io.imread(img) for img in images]
images = [cv2.resize(image, (IMAGE_WIDTH, IMAGE_HEIGHT)) for image in images]
if len(images) > 2:
half = len(images) // 2
h1 = cv2.hconcat(images[:half])
h2 = cv2.hconcat(images[half:])
concat_images = cv2.vconcat([h1, h2])
else:
concat_images = cv2.hconcat(images)
image = Image.fromarray(concat_images)
# Image path
image_name = "result.jpg"
image = image.convert("RGB")
image.save(f"{image_name}")
return image_name
images=["image1.png","image2.png","image3.png","image4.png"]
#image1 on top left, image2 on top right, image3 on bottom left,image4 on bottom right
create_collage(images)
To create advanced college make you can look into this:
https://codereview.stackexchange.com/questions/275727/python-3-script-to-make-photo-collages
Here is what i'm trying to achieve:
Resize Multiple Product images into 500 x 500 pixels
Paste all of these resized images individually onto a 800 x 800 image and output as individual images
For now, I have managed to complete Step 1, but have no idea how to proceed to step 2. Here is my code for Step 1:
from PIL import Image
import os, sys
path = "C:\\Users\\User\\Desktop\\Test\\"
dirs = os.listdir( path )
final_size = 500;
def resize_aspect_fit():
for item in dirs:
if item == '.png':
continue
if os.path.isfile(path+item):
im = Image.open(path+item)
f, e = os.path.splitext(path+item)
size = im.size
ratio = float(final_size) / max(size)
new_image_size = tuple([int(x*ratio) for x in size])
im = im.resize(new_image_size, Image.ANTIALIAS)
new_im = Image.new("RGBA", (final_size, final_size), (255,255,255,000))
new_im.paste(im, ((final_size-new_image_size[0])//2, (final_size-new_image_size[1])//2))
new_im.save(f + 'resized.png', 'PNG', quality=100)
resize_aspect_fit()
Thanks!
Edit:
Here's an image illustration for better explanation of what i am trying to achieve. I have 2 smiley faces (500 x 500) which i need to paste over the default 800 x 800 image multiple times (centered) to produce 2 separate images of 800 x 800.
Example
You're nearly there, you can use .paste() with an offset to paste into the middle over your image. a little bit like:
Border_im = Image.open(pathToBorder)
product_im = Image.open(pathToProduct)
x_offset=150;
y_offset=150;
Border_im.paste(product_im, (x_offset,y_offset))
Then save out border_im to a new file
I am very new in Python and this is going to be a very basic question.I have a website which is image based and i am developing it using Django.Now i want to resize the image or you can say i want to minimize the size of the images.There are different size of images are avaible,some images are largest in width,some images are largest in height and i want to resize images without changing there shape.
Here are some example what dimensions images are using in my website.
Here the First image is largest in width and the second image is largest in height and they are really big in Dimension.so they need to be resized or rather these images are need to be minimized in size.So i have used the PIL as below.
from PIL import Image,ImageDraw, ImageFont, ImageEnhance
def image_resize(request,image_id):
photo = Photo.objects.get(pk=image_id)
img = Image.open(photo.photo.file)
image = img.resize((1000, 560), Image.ANTIALIAS)
image.save()
so this function returns all the images with width of 1000 and height of 560.But i don't want to resize all the images with same width and height,rather i want to resize each images maintaining there own shape. That is there shape will be same but the images will be resized.How can i do this? i am really new in python.
Do you want to have all images with same width 1000? Try this code. It will resize to at most 1000 as width (if the image's width is less than 1000, nothing changes)
def image_resize(request,image_id):
photo = Photo.objects.get(pk=image_id)
image = Image.open(photo.photo.file)
(w,h) = image.size
if (w > 1000):
h = int(h * 1000. / w)
w = 1000
image = image.resize((w, h), Image.ANTIALIAS)
image.save()
I recall doing this sometime back without any problem except that I used thumbnail method rather than resize. Try it. You need not assign img to image. You can process img and save the same.
# open img
img.thumbnail((1000,560), Image.ANTIALIAS)
# save img
I have a small background image like this:
it's a smaller than my image size, so I need to draw it repeatedly. (think about background-repeat in css)
I searched a lot and can't find a solution to this....thanks a lot.
Based on the code linked to by Marcin, this will tile a background image on a larger one:
from PIL import Image
# Opens an image
bg = Image.open("NOAHB.png")
# The width and height of the background tile
bg_w, bg_h = bg.size
# Creates a new empty image, RGB mode, and size 1000 by 1000
new_im = Image.new('RGB', (1000,1000))
# The width and height of the new image
w, h = new_im.size
# Iterate through a grid, to place the background tile
for i in xrange(0, w, bg_w):
for j in xrange(0, h, bg_h):
# Change brightness of the images, just to emphasise they are unique copies
bg = Image.eval(bg, lambda x: x+(i+j)/1000)
#paste the image at location i, j:
new_im.paste(bg, (i, j))
new_im.show()
Produces this:
Or removing the Image.eval() line:
I have a large number of images of a fixed size (say 500*500). I want to write a python script which will resize them to a fixed size (say 800*800) but will keep the original image at the center and fill the excess area with a fixed color (say black).
I am using PIL. I can resize the image using the resize function now, but that changes the aspect ratio. Is there any way to do this?
You can create a new image with the desired new size, and paste the old image in the center, then saving it. If you want, you can overwrite the original image (are you sure? ;o)
import Image
old_im = Image.open('someimage.jpg')
old_size = old_im.size
new_size = (800, 800)
new_im = Image.new("RGB", new_size) ## luckily, this is already black!
box = tuple((n - o) // 2 for n, o in zip(new_size, old_size))
new_im.paste(old_im, box)
new_im.show()
# new_im.save('someimage.jpg')
You can also set the color of the new border with a third argument of Image.new() (for example: Image.new("RGB", new_size, "White"))
Yes, there is.
Make something like this:
from PIL import Image, ImageOps
ImageOps.expand(Image.open('original-image.png'),border=300,fill='black').save('imaged-with-border.png')
You can write the same at several lines:
from PIL import Image, ImageOps
img = Image.open('original-image.png')
img_with_border = ImageOps.expand(img,border=300,fill='black')
img_with_border.save('imaged-with-border.png')
And you say that you have a list of images. Then you must use a cycle to process all of them:
from PIL import Image, ImageOps
for i in list-of-images:
img = Image.open(i)
img_with_border = ImageOps.expand(img,border=300,fill='black')
img_with_border.save('bordered-%s' % i)
Alternatively, if you are using OpenCV, they have a function called copyMakeBorder that allows you to add padding to any of the sides of an image. Beyond solid colors, they've also got some cool options for fancy borders like reflecting or extending the image.
import cv2
img = cv2.imread('image.jpg')
color = [101, 52, 152] # 'cause purple!
# border widths; I set them all to 150
top, bottom, left, right = [150]*4
img_with_border = cv2.copyMakeBorder(img, top, bottom, left, right, cv2.BORDER_CONSTANT, value=color)
Sources: OpenCV border tutorial and
OpenCV 3.1.0 Docs for copyMakeBorder
PIL's crop method can actually handle this for you by using numbers that are outside the bounding box of the original image, though it's not explicitly stated in the documentation. Negative numbers for left and top will add black pixels to those edges, while numbers greater than the original width and height for right and bottom will add black pixels to those edges.
This code accounts for odd pixel sizes:
from PIL import Image
with Image.open('/path/to/image.gif') as im:
old_size = im.size
new_size = (800, 800)
if new_size > old_size:
# Set number of pixels to expand to the left, top, right,
# and bottom, making sure to account for even or odd numbers
if old_size[0] % 2 == 0:
add_left = add_right = (new_size[0] - old_size[0]) // 2
else:
add_left = (new_size[0] - old_size[0]) // 2
add_right = ((new_size[0] - old_size[0]) // 2) + 1
if old_size[1] % 2 == 0:
add_top = add_bottom = (new_size[1] - old_size[1]) // 2
else:
add_top = (new_size[1] - old_size[1]) // 2
add_bottom = ((new_size[1] - old_size[1]) // 2) + 1
left = 0 - add_left
top = 0 - add_top
right = old_size[0] + add_right
bottom = old_size[1] + add_bottom
# By default, the added pixels are black
im = im.crop((left, top, right, bottom))
Instead of the 4-tuple, you could instead use a 2-tuple to add the same number of pixels on the left/right and top/bottom, or a 1-tuple to add the same number of pixels to all sides.
It is important to consider old dimension, new dimension and their difference here. If the difference is odd (not even), you will need to specify slightly different values for left, top, right and bottom borders.
Assume the old dimension is ow,oh and new one is nw,nh.
So, this would be the answer:
import Image, ImageOps
img = Image.open('original-image.png')
deltaw=nw-ow
deltah=nh-oh
ltrb_border=(deltaw/2,deltah/2,deltaw-(deltaw/2),deltah-(deltah/2))
img_with_border = ImageOps.expand(img,border=ltrb_border,fill='black')
img_with_border.save('imaged-with-border.png')
You can load the image with scipy.misc.imread as a numpy array. Then create an array with the desired background with numpy.zeros((height, width, channels)) and paste the image at the desired location:
import numpy as np
import scipy.misc
im = scipy.misc.imread('foo.jpg', mode='RGB')
height, width, channels = im.shape
# make canvas
im_bg = np.zeros((height, width, channels))
im_bg = (im_bg + 1) * 255 # e.g., make it white
# Your work: Compute where it should be
pad_left = ...
pad_top = ...
im_bg[pad_top:pad_top + height,
pad_left:pad_left + width,
:] = im
# im_bg is now the image with the background.
ximg = Image.open(qpath)
xwid,xhgt = func_ResizeImage(ximg)
qpanel_3 = tk.Frame(Body,width=xwid+10,height=xhgt+10,bg='white',bd=5)
ximg = ximg.resize((xwid,xhgt),Image.ANTIALIAS)
ximg = ImageTk.PhotoImage(ximg)
panel = tk.Label(qpanel_3,image=ximg)
panel.image = ximg
panel.grid(row = 2)
from PIL import Image
from PIL import ImageOps
img = Image.open("dem.jpg").convert("RGB")
This part will add black borders at the sides (10% of width)
img_side = ImageOps.expand(img, border=(int(0.1*img.size[0]),0,int(0.1*img.size[0]),0), fill=(0,0,0))
img_side.save("sunset-sides.jpg")
This part will add black borders at the bottom & top (10% of height)
img_updown = ImageOps.expand(img, border=(0,int(0.1*img.size[1]),0,int(0.1*img.size[1])), fill=(0,0,0))
img_updown.save("sunset-top_bottom.jpg")
This part will add black borders at the bottom,top & sides (10% of height-width)
img_updown_side = ImageOps.expand(img, border=(int(0.1*img.size[0]),int(0.1*img.size[1]),int(0.1*img.size[0]),int(0.1*img.size[1])), fill=(0,0,0))
img_updown_side.save("sunset-all_sides.jpg")
img.close()
img_side.close()
img_updown.close()
img_updown_side.close()