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How can I save an image with Image.thumbnail using PIL

Basically, I copied and paste a script, and merged it with other script, and now the script doesn't work, it says an error "NoneType object has no attribute save"Screenshot
And here's the script:
` from PIL import Image
import PIL
import os
from glob import glob
imgs = [y for x in os.walk(".") for y in glob(os.path.join(x[0], '*.png'))]
size = 32, 32
lastdir = None
for file in imgs:
img = Image.open(file)
img = img.thumbnail(size, resample=PIL.Image.NEAREST)
file = file.replace('img', 'icon', 1)
dir = os.path.dirname(file)
try:
os.makedirs(dir)
except:
pass
if dir!=lastdir:
print(dir)
lastdir = dir
img.save(file + ".png", "PNG")`
Resize various images on various directories and save them, but the images are not saving.

The thumbnail() method modifies its object rather than returning a new one. So, this line:
img = img.thumbnail(size, resample=PIL.Image.NEAREST)
should be:
img.thumbnail(size, resample=PIL.Image.NEAREST)

glob function not work properly on m1 mac

import cv2
import glob
from pathlib import Path
import os
path = "H:/TEZ/*.jpg"
path2 = "H:/TEZ/edit/"
for file in glob.glob(path):
basename = os.path.basename(file)
name = os.path.splitext(basename)
img = cv2.imread(file)
img_hsv=cv2.cvtColor(img, cv2.COLOR_BGR2HSV)
lower_red = np.array([0,95,50])
upper_red = np.array([2,255,255])
mask0 = cv2.inRange(img_hsv, lower_red, upper_red)
lower_red = np.array([175,95,50])
upper_red = np.array([180,255,255])
mask1 = cv2.inRange(img_hsv, lower_red, upper_red)
mask = mask0+mask1
output_img = img.copy()
output_img[np.where(mask==0)] = 0
output_hsv = img_hsv.copy()
output_hsv[np.where(mask==0)] = 0
son = cv2.cvtColor(output_hsv, cv2.COLOR_HSV2BGR)
cv2.imwrite("H:/TEZ/edit/" + name[0] + ".jpg", son)
this code work flawlessly on windows but when i try to convert these code in mac:
path = "/Users/turkerberkdonmez/Desktop/TEZ/*.jpg"
cv2.imwrite("/Users/turkerberkdonmez/Desktop/TEZ/edit2/" + name[0] + ".jpg", son)
nothing happens, what should i do?
i think glob function not work on mac like this?

I just ran into a similar issue. Full Disk Access wasn't the permissions setting I needed but it was the Files and Folder permissions that needed to be checked.
I also noticed that you are trying to access the Desktop folder which is not located in the Documents folder. I would try putting your needed files in the Documents folder.

cv2.error when training image (Overload Resolution Failed)

I'm learning opencv via the following link link link2. And I got error related to image training process for face recognition. Please correct me or help with the problem I'm having. thank you
System Information :
OpenCV 4.5.2.52
Python 3.9.5
Detailed Description
I need to train an images by using the code below and the results was :
- OpenCV/faces-train.py", line 50, in <module>
recognizer.train(x_train, np.array(y_labels))
cv2.error: OpenCV(4.5.2) :-1: error: (-5:Bad argument) in function 'train'
> Overload resolution failed:
> - src is not a numpy array, neither a scalar
> - Expected Ptr<cv::UMat> for argument 'src'
Code
import cv2
import os
import numpy as np
from PIL import Image
import pickle
BASE_DIR = os.path.dirname(os.path.abspath(__file__))
image_dir = os.path.join(BASE_DIR, "images")
face_cascade = cv2.CascadeClassifier('cascade/data/haarcascade_frontalface_alt2.xml')
recognizer = cv2.face.LBPHFaceRecognizer_create()
current_id = 0
label_ids = {}
y_labels = []
x_train = []
for root, dirs, files, in os.walk(image_dir):
for file in files:
if file.endswith("png") or file.endswith("jpg") or file.endswith("jpeg") :
path = os.path.join(root, file)
label = os.path.basename(root).replace(" ", "-").lower()
# print(label, path)
if not label in label_ids:
label_ids[label] = current_id
current_id += 1
id_ = label_ids[label]
# print(label_ids)
y_labels.append(label)
x_train.append(path)
pil_image = Image.open(path).convert("L")
image_array = np.array(pil_image, "uint8")
# print(image_array)
faces = face_cascade.detectMultiScale(image_array, scaleFactor=1.5, minNeighbors=5)
for(x,y,w,h) in faces:
roi = image_array[y:y+h, x:x+w]
x_train.append(roi)
y_labels.append(id_)
# print(y_labels)
# print(x_train)
with open("labels.pickle", 'wb') as f:
pickle.dump(label_ids, f)
recognizer.train(x_train, np.array(y_labels))
recognizer.save("trainner.yml")

remove the following lines:
y_labels.append(label)
x_train.append(path)
you don't really need to append the labels or the paths since you are basically training the face recognizer to recognise/categorise faces. Likewise, you wouldnt need the path to your images as it is also not necessary. Guessing this is what caused the error!
Do let me know if the fix works! Cheers :)

Python PIL Crop all Images in a Folder

Currently I am trying to crop all images inside a folder under the address of: C:\\Users\\xie\\Desktop\\tiff\\Bmp and then resave them into the same folder. Below is the code I am trying to experiment with, both run without error but does nothing. Also note I am using windows as platform.
Code 1:
from PIL import Image
import os.path, sys
path = "C:\\Users\\xie\\Desktop\\tiff\\Bmp"
dirs = os.listdir(path)
def crop():
for item in dirs:
if os.path.isfile(path+item):
im = Image.open(path+item)
f, e = os.path.splitext(path+item)
imCrop = im.crop(30, 10, 1024, 1004)
imCrop.save(f + 'Cropped.bmp', "BMP", quality=100)
crop()
Code 2:
for f in os.listdir("C:\\Users\\xie\\Desktop\\tiff\\Bmp"):
for f in ("C:\\Users\\xie\\Desktop\\tiff\\Bmp"):
if f.endswith('.bmp'):
print (f, end=" ")
i = Image.open(f)
area = (30, 10, 1024, 1004)
cropped_i = i.crop(area)
cropped_i.show()
cropped_i.save('Cropped{}.bmp', "BMP", quality=100, optimize=True)
Thanks, any help or suggestions are greatly appreciated!

Code 1 : Corrected
This is your corrected code, you almost had it right, you have to join the path correctly, in your code you weren't adding a separator / between the path and the filename. by using os.path.join you can combine a directory path and a filename.
Furthermore, crop takes a tuple of 4, not 4 arguments.
from PIL import Image
import os.path, sys
path = "C:\\Users\\xie\\Desktop\\tiff\\Bmp"
dirs = os.listdir(path)
def crop():
for item in dirs:
fullpath = os.path.join(path,item) #corrected
if os.path.isfile(fullpath):
im = Image.open(fullpath)
f, e = os.path.splitext(fullpath)
imCrop = im.crop((30, 10, 1024, 1004)) #corrected
imCrop.save(f + 'Cropped.bmp', "BMP", quality=100)
crop()

This is more or less a rough version of code, I used with opencv, it should work the same for PIL also
import glob
import numpy as np
from PIL import Image
image_list = []
for filename in glob.glob('name_of_folder/*.jpg'):
im=Image.open(filename)
image_list.append(im)
a=0
c=[]
for i in range(0,len(image_list)):
#ur image cropping and other operations in here for each image_list[i]
c.append(image_list[i])
c[i].save()

histogram.cpp:3915: error: (-215) _src.type() == CV_8UC1 in function cv::equalizeHist

files2 = [f for f in listdir(dstpath) if isfile(join(dstpath,f))]
for image in files2:
img = cv2.imread(os.path.join(dstpath,image))
equ = cv2.equalizeHist(img)
dstPath2 = join(dstpath,image)
cv2.imwrite(dstPath2,equ)
I have a folder consisting of grayscale images in jpg format but when I run my above code for Histogram equalization it gives me the above mentioned error. Pls help

imread load image in color mode by default. Try to use img = cv2.imread(your_image_path,cv2.IMREAD_GRAYSCALE) instead

#author: Quantum
"""
import cv2
import os
from os import listdir,makedirs
from os.path import isfile,join
path = r'' # Source Folder
dstpath = r'' # Destination Folder
try:
makedirs(dstpath)
except:
print ("Directory already exist, images will be written in asme folder")
# Folder won't used
files = [f for f in listdir(path) if isfile(join(path,f))]
for image in files:
try:
img = cv2.imread(os.path.join(path,image),cv2.IMREAD_GRAYSCALE)
**imgnew=cv2.equalizeHist(img)**
dstPath = join(dstpath,image)
cv2.imwrite(dstPath,imgnew)
except:
print ("{} is not converted".format(image))
All I did was added the histeq function while my files are converted to grayscale