import cv2
from skimage import data 
import matplotlib.pyplot as plt
from skimage.util import img_as_ubyte
from skimage import io
filename='abc.png'
image=plt.imread(filename)
im=cv2.imread('abc.png')
print(im.shape)
im.resize(300,300)
print(im.shape)
plt.imshow(image)

我还将添加一个调整大小的版本，以保持纵横比固定。 在本例中，它将根据初始宽高比asp_rat (float(!))调整高度以匹配新图像的宽度。 但是，要调整宽与高，只需在else循环中注释一行，取消注释另一行。你会看到，在哪里。

你不需要分号(;)，我保留它们只是为了提醒自己我经常使用的语言的语法。

from PIL import Image

img_path = "filename.png";
img = Image.open(img_path);     # puts our image to the buffer of the PIL.Image object

width, height = img.size;
asp_rat = width/height;

# Enter new width (in pixels)
new_width = 50;

# Enter new height (in pixels)
new_height = 54;

new_rat = new_width/new_height;

if (new_rat == asp_rat):
    img = img.resize((new_width, new_height), Image.ANTIALIAS); 

# adjusts the height to match the width
# NOTE: if you want to adjust the width to the height, instead -> 
# uncomment the second line (new_width) and comment the first one (new_height)
else:
    new_height = round(new_width / asp_rat);
    #new_width = round(new_height * asp_rat);
    img = img.resize((new_width, new_height), Image.ANTIALIAS);

# usage: resize((x,y), resample)
# resample filter -> PIL.Image.BILINEAR, PIL.Image.NEAREST (default), PIL.Image.BICUBIC, etc..
# https://pillow.readthedocs.io/en/3.1.x/reference/Image.html#PIL.Image.Image.resize

# Enter the name under which you would like to save the new image
img.save("outputname.png");

这样就完成了。我尽我所能记录下来，所以很清楚。

我希望这对外面的人有所帮助!

要使新图像的宽度和高度是原图像的一半，请使用以下代码:

  from PIL import Image
  im = Image.open("image.jpg")
  resized_im = im.resize((round(im.size[0]*0.5), round(im.size[1]*0.5)))
    
  #Save the cropped image
  resized_im.save('resizedimage.jpg')

调整:用定额调整固定宽度:

from PIL import Image
new_width = 300
im = Image.open("img/7.jpeg")
concat = int(new_width/float(im.size[0]))
size = int((float(im.size[1])*float(concat)))
resized_im = im.resize((new_width,size), Image.ANTIALIAS)
#Save the cropped image
resized_im.save('resizedimage.jpg')

我试图为幻灯片视频调整一些图像的大小，因此，我想要的不仅仅是一个最大维度，而是一个最大宽度和最大高度(视频帧的大小)。 而且总有可能拍一个人像视频…… 图像。缩略图方法是有前途的，但我不能使它放大一个较小的图像。

所以当我在这里(或其他地方)找不到明显的方法时，我写了这个函数，并把它放在这里:

from PIL import Image

def get_resized_img(img_path, video_size):
    img = Image.open(img_path)
    width, height = video_size  # these are the MAX dimensions
    video_ratio = width / height
    img_ratio = img.size[0] / img.size[1]
    if video_ratio >= 1:  # the video is wide
        if img_ratio <= video_ratio:  # image is not wide enough
            width_new = int(height * img_ratio)
            size_new = width_new, height
        else:  # image is wider than video
            height_new = int(width / img_ratio)
            size_new = width, height_new
    else:  # the video is tall
        if img_ratio >= video_ratio:  # image is not tall enough
            height_new = int(width / img_ratio)
            size_new = width, height_new
        else:  # image is taller than video
            width_new = int(height * img_ratio)
            size_new = width_new, height
    return img.resize(size_new, resample=Image.LANCZOS)

import cv2
from skimage import data 
import matplotlib.pyplot as plt
from skimage.util import img_as_ubyte
from skimage import io
filename='abc.png'
image=plt.imread(filename)
im=cv2.imread('abc.png')
print(im.shape)
im.resize(300,300)
print(im.shape)
plt.imshow(image)

这个脚本将使用PIL (Python成像库)将图像(somepic.jpg)调整为300像素的宽度和与新宽度成比例的高度。它通过确定300像素是原始宽度(img.size[0])的百分比，然后将原始高度(img.size[1])乘以该百分比来实现这一点。将“basewidth”更改为任何其他数字以更改图像的默认宽度。

from PIL import Image

basewidth = 300
img = Image.open('somepic.jpg')
wpercent = (basewidth/float(img.size[0]))
hsize = int((float(img.size[1])*float(wpercent)))
img = img.resize((basewidth,hsize), Image.Resampling.LANCZOS)
img.save('somepic.jpg')