mirror of
https://github.com/ostris/ai-toolkit.git
synced 2026-01-26 16:39:47 +00:00
65 lines
1.8 KiB
Python
65 lines
1.8 KiB
Python
import argparse
|
|
from PIL import Image
|
|
from PIL.ImageOps import exif_transpose
|
|
from tqdm import tqdm
|
|
import os
|
|
|
|
parser = argparse.ArgumentParser(description='Process some images.')
|
|
parser.add_argument("input_folder", type=str, help="Path to folder containing images")
|
|
|
|
args = parser.parse_args()
|
|
|
|
img_types = ['.jpg', '.jpeg', '.png', '.webp']
|
|
|
|
# find all images in the input folder
|
|
images = []
|
|
for root, _, files in os.walk(args.input_folder):
|
|
for file in files:
|
|
if file.lower().endswith(tuple(img_types)):
|
|
images.append(os.path.join(root, file))
|
|
print(f"Found {len(images)} images")
|
|
|
|
num_skipped = 0
|
|
num_repaired = 0
|
|
num_deleted = 0
|
|
|
|
pbar = tqdm(total=len(images), desc=f"Repaired {num_repaired} images", unit="image")
|
|
for img_path in images:
|
|
filename = os.path.basename(img_path)
|
|
filename_no_ext, file_extension = os.path.splitext(filename)
|
|
# if it is jpg, ignore
|
|
if file_extension.lower() == '.jpg':
|
|
num_skipped += 1
|
|
pbar.update(1)
|
|
|
|
continue
|
|
|
|
try:
|
|
img = Image.open(img_path)
|
|
except Exception as e:
|
|
print(f"Error opening {img_path}: {e}")
|
|
# delete it
|
|
os.remove(img_path)
|
|
num_deleted += 1
|
|
pbar.update(1)
|
|
pbar.set_description(f"Repaired {num_repaired} images, Skipped {num_skipped}, Deleted {num_deleted}")
|
|
continue
|
|
|
|
|
|
try:
|
|
img = exif_transpose(img)
|
|
except Exception as e:
|
|
print(f"Error rotating {img_path}: {e}")
|
|
|
|
new_path = os.path.join(os.path.dirname(img_path), filename_no_ext + '.jpg')
|
|
|
|
img = img.convert("RGB")
|
|
img.save(new_path, quality=95)
|
|
# remove the old file
|
|
os.remove(img_path)
|
|
num_repaired += 1
|
|
pbar.update(1)
|
|
# update pbar
|
|
pbar.set_description(f"Repaired {num_repaired} images, Skipped {num_skipped}, Deleted {num_deleted}")
|
|
|
|
print("Done") |