如何使用PIL / Pillow将图像合并到画布中？

Question

我不熟悉PIL，但我知道将一堆图像放入ImageMagick的网格中非常容易。

例如，如何将16个图像放入4×4网格中，我可以指定行和列之间的间隙？

Answer 1

这也很容易在PIL中完成。创建一个空图像，然后使用paste在您需要的任何位置粘贴您想要的图像。这是一个简单的例子：

import Image

#opens an image:
im = Image.open("1_tree.jpg")
#creates a new empty image, RGB mode, and size 400 by 400.
new_im = Image.new('RGB', (400,400))

#Here I resize my opened image, so it is no bigger than 100,100
im.thumbnail((100,100))
#Iterate through a 4 by 4 grid with 100 spacing, to place my image
for i in xrange(0,500,100):
    for j in xrange(0,500,100):
        #I change brightness of the images, just to emphasise they are unique copies.
        im=Image.eval(im,lambda x: x+(i+j)/30)
        #paste the image at location i,j:
        new_im.paste(im, (i,j))

new_im.show()

Answer 2

根据fraxel给出的一个很好的答案，我编写了一个程序，该程序将一个（.png）图像文件夹，一个用于拼贴宽度的像素数以及每行的图片数放入一个文件夹中，并执行所有为您计算。

#Evan Russenberger-Rosica
#Create a Grid/Matrix of Images
import PIL, os, glob
from PIL import Image
from math import ceil, floor

PATH = r"C:\Users\path\to\images"

frame_width = 1920
images_per_row = 5
padding = 2

os.chdir(PATH)

images = glob.glob("*.png")
images = images[:30]                #get the first 30 images

img_width, img_height = Image.open(images[0]).size
sf = (frame_width-(images_per_row-1)*padding)/(images_per_row*img_width)       #scaling factor
scaled_img_width = ceil(img_width*sf)                   #s
scaled_img_height = ceil(img_height*sf)

number_of_rows = ceil(len(images)/images_per_row)
frame_height = ceil(sf*img_height*number_of_rows) 

new_im = Image.new('RGB', (frame_width, frame_height))

i,j=0,0
for num, im in enumerate(images):
    if num%images_per_row==0:
        i=0
    im = Image.open(im)
    #Here I resize my opened image, so it is no bigger than 100,100
    im.thumbnail((scaled_img_width,scaled_img_height))
    #Iterate through a 4 by 4 grid with 100 spacing, to place my image
    y_cord = (j//images_per_row)*scaled_img_height
    new_im.paste(im, (i,y_cord))
    print(i, y_cord)
    i=(i+scaled_img_width)+padding
    j+=1

new_im.show()
new_im.save("out.jpg", "JPEG", quality=80, optimize=True, progressive=True)