Python，调整文件夹中图像的大小

Question

我是这个社区的新人，也是 Python。我正在尝试使用 Python 进行图像分类，但我在加载数据时遇到了一些问题。我在一个文件夹中有 16'000 张图像，它们的像素数量不同。我想将它们调整为方形，之后，我想将图像转换为矩阵，但我不能！这是我的代码：

import cv2
import PIL
from PIL import Image
import numpy as np 
import glob

food_imgs = np.zeros(300*300*3)

for i, img in enumerate(glob.glob("Downloads/Food-11/training/*.jpg")):
    if i == 5:
        break
fo = Image.open(img)
fo = fo.resize((300, 300))
food_imgs = np.c_[food_imgs, cv2.imread(fo).flatten()]

错误是：

TypeError                                 Traceback (most recent call last)
<ipython-input-41-b5adecbdc8f9> in <module>()
      6     fo = Image.open(img)
      7     fo = fo.resize((300, 300), PIL.Image.ANTIALIAS)
----> 8     food_imgs = np.c_[food_imgs, cv2.imread(fo).flatten()]

TypeError: expected string or Unicode object, Image found

Answer 1

> #!/usr/bin/python from PIL import Image import os, sys
> 
> path = "/root/Desktop/python/images/" dirs = os.listdir( path )
> #Don't froget to change your path!
> def resize():
>     for item in dirs: #Iterates through each picture
>         if os.path.isfile(path+item): 
>             im = Image.open(path+item)
>             f, e = os.path.splitext(path+item)
>             imResize = im.resize((200,200), Image.ANTIALIAS)
>             imResize.save(f + ' resized.jpg', 'JPEG', quality=90)
> 
> resize()

Python，调整文件夹中图像的大小

Python, resize images that are in a folder

python

image

classification

python-imaging-library

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