######get resize coordinate after resize the image using this function#####
def scale_img_pixel(points,original_dim,resize_dim):
        multi_list = [points]
        new_point_list = []
        multi_list_point = []
        for point in multi_list:
            multi_list_point.append([point[0],point[1]])
            multi_list_point.append([point[2],point[3]])
        for lsingle_point in multi_list_point:
            x1 = int((lsingle_point[0] * (resize_dim[0] / original_dim[0])))
            y1 = int((lsingle_point[1] * (resize_dim[1] / original_dim[1])))
            new_point_list.append(x1)
            new_point_list.append(y1)
            
        return new_point_list
    
    
    points = [774,265,909,409]
    original_dim = (1237,1036)
    resize_dim = (640,480)
    result = scale_img_pixel(points,original_dim,resize_dim)
    print("result: ", result)  

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!

from PIL import Image

img = Image.open('/your image path/image.jpg') # image extension *.png,*.jpg
new_width  = 200
new_height = 300
img = img.resize((new_width, new_height), Image.ANTIALIAS)
img.save('output image name.png') # format may what you want *.png, *jpg, *.gif

举个丑陋的例子。

函数获取像pic[0-9a-z]这样的文件。[扩展]"，将它们调整为120x120，移动部分到中心，并保存到"ico[0-9a-z]。[扩展]”，肖像和风景作品:

def imageResize(filepath):
    from PIL import Image
    file_dir=os.path.split(filepath)
    img = Image.open(filepath)

    if img.size[0] > img.size[1]:
        aspect = img.size[1]/120
        new_size = (img.size[0]/aspect, 120)
    else:
        aspect = img.size[0]/120
        new_size = (120, img.size[1]/aspect)
    img.resize(new_size).save(file_dir[0]+'/ico'+file_dir[1][3:])
    img = Image.open(file_dir[0]+'/ico'+file_dir[1][3:])

    if img.size[0] > img.size[1]:
        new_img = img.crop( (
            (((img.size[0])-120)/2),
            0,
            120+(((img.size[0])-120)/2),
            120
        ) )
    else:
        new_img = img.crop( (
            0,
            (((img.size[1])-120)/2),
            120,
            120+(((img.size[1])-120)/2)
        ) )

    new_img.save(file_dir[0]+'/ico'+file_dir[1][3:])

你可以合并PIL的Image。带有sys的缩略图。如果您的调整大小限制仅在一个维度(宽度或高度)上，请使用Maxsize。

例如，如果你想调整图像的大小，使其高度不超过100px，同时保持纵横比，你可以这样做:

import sys
from PIL import Image

image.thumbnail([sys.maxsize, 100], Image.ANTIALIAS)

记住这个形象。thumbnail将调整图像的大小，这与image不同。Resize，而不是返回调整后的图像，而不改变原始图像。

编辑:形象。ANTIALIAS会发出弃用警告，并将在PIL 10(2023年7月)中删除。相反，你应该使用重采样。兰索斯:

import sys
from PIL import Image
from PIL.Image import Resampling

image.thumbnail([sys.maxsize, 100], Resampling.LANCZOS)

# Importing Image class from PIL module
from PIL import Image

# Opens a image in RGB mode
im = Image.open(r"C:\Users\System-Pc\Desktop\ybear.jpg")

# Size of the image in pixels (size of original image)
# (This is not mandatory)
width, height = im.size

# Setting the points for cropped image
left = 4
top = height / 5
right = 154
bottom = 3 * height / 5

# Cropped image of above dimension
# (It will not change original image)
im1 = im.crop((left, top, right, bottom))
newsize = (300, 300)
im1 = im1.resize(newsize)
# Shows the image in image viewer
im1.show()