I'm in an introductory neural networking class so mind my ignorance. Also my first SO post.
I'm trying to resize some very highly resolved images within a dataset into 80x80p grayscale images in a new dataset. However, when I do this, I'd like to keep the filenames of each new image the same as the original image. The only way I know how to resave images into a new file is through a str(count) which isn't what I want. The filenames are important in creating a .csv file for my dataset later.
The only SO post I can find that is related is this:
Use original file name to save image
But the code suggested there didn't work - wasn't sure if I was going about it the wrong way.
import os
from PIL import Image
import imghdr
count=0
path1 = "/Users/..."
path2 = "/Users/..."
listing = os.listdir(path1)
for file in listing:
type = imghdr.what((path1 + file))
if type == "jpeg":
img = Image.open("/Users/..." +file).convert('LA')
img_resized = img.resize((80,80))
img_resized.save(path2 + str(count) + '.png')
count +=1
pass
pass
Reuse the original filename that you get from the for loop i.e. file
and, split it into filename and extension using os.path.splitext() like below:
import os
from PIL import Image
import imghdr
count=0
path1 = "/Users/..."
path2 = "/Users/..."
listing = os.listdir(path1)
for file in listing:
type = imghdr.what((path1 + file))
if type == "jpeg":
img = Image.open("/Users/..." +file).convert('LA')
img_resized = img.resize((80,80))
# splitting the original filename to remove extension
img_filename = os.path.splitext(file)[0]
img_resized.save(path2 + img_filename + '.png')
count +=1
pass
Another option, we can use python str's built-in split method to split the original filename by . and discard the extension.
import os
from PIL import Image
import imghdr
count=0
path1 = "/Users/..."
path2 = "/Users/..."
listing = os.listdir(path1)
for file in listing:
type = imghdr.what((path1 + file))
if type == "jpeg":
img = Image.open("/Users/..." +file).convert('LA')
img_resized = img.resize((80,80))
# splitting the original filename to remove extension
img_filename = file.split(".")[0]
img_resized.save(path2 + img_filename + '.png')
count +=1
pass
So, if an image has a name such as some_image.jpeg then, the img_filename will have a value some_image as we splitted by . and discarded .jpeg part of it.
NOTE: This option assumes the original_filename will not contain any . other than the extension.
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