import argparse import shutil from PIL import Image, ImageOps import os import numpy as np from library.custom_logging import setup_logging # Set up logging log = setup_logging() class ImageProcessor: def __init__(self, input_folder, output_folder, group_size, include_subfolders, do_not_copy_other_files, pad, caption, caption_ext): self.input_folder = input_folder self.output_folder = output_folder self.group_size = group_size self.include_subfolders = include_subfolders self.do_not_copy_other_files = do_not_copy_other_files self.pad = pad self.caption = caption self.caption_ext = caption_ext self.image_extensions = ('.png', '.jpg', '.jpeg', '.gif', '.webp', '.tiff') def get_image_paths(self): images = [] if self.include_subfolders: for dirpath, dirnames, filenames in os.walk(self.input_folder): for filename in filenames: if filename.endswith(self.image_extensions): images.append(os.path.join(dirpath, filename)) else: images = [os.path.join(self.input_folder, f) for f in os.listdir(self.input_folder) if f.endswith(self.image_extensions)] return images def group_images(self, images): sorted_images = sorted(images, key=lambda path: Image.open(path).size[0] / Image.open(path).size[1]) groups = [sorted_images[i:i+self.group_size] for i in range(0, len(sorted_images), self.group_size)] return groups def process_group(self, group, group_index): if len(group) > 0: aspect_ratios = self.get_aspect_ratios(group) avg_aspect_ratio = np.mean(aspect_ratios) if self.pad: padded_images = self.pad_images(group, avg_aspect_ratio) self.resize_and_save_images(padded_images, group_index, group) else: cropped_images = self.crop_images(group, avg_aspect_ratio) self.resize_and_save_images(cropped_images, group_index, group) if not self.do_not_copy_other_files: self.copy_other_files(group, group_index) def get_aspect_ratios(self, group): aspect_ratios = [] for path in group: with Image.open(path) as img: width, height = img.size aspect_ratios.append(width / height) return aspect_ratios def crop_images(self, group, avg_aspect_ratio): cropped_images = [] for j, path in enumerate(group): with Image.open(path) as img: log.info(f" Processing image {j+1}: {path}") img = self.crop_image(img, avg_aspect_ratio) cropped_images.append(img) return cropped_images def crop_image(self, img, avg_aspect_ratio): img_aspect_ratio = img.width / img.height if img_aspect_ratio > avg_aspect_ratio: # Too wide, reduce width new_width = avg_aspect_ratio * img.height left = (img.width - new_width) / 2 right = left + new_width img = img.crop((left, 0, right, img.height)) else: # Too tall, reduce height new_height = img.width / avg_aspect_ratio top = (img.height - new_height) / 2 bottom = top + new_height img = img.crop((0, top, img.width, bottom)) return img def resize_and_save_images(self, cropped_images, group_index, source_paths): max_width = max(img.width for img in cropped_images) max_height = max(img.height for img in cropped_images) for j, img in enumerate(cropped_images): img = img.resize((max_width, max_height)) os.makedirs(self.output_folder, exist_ok=True) original_filename = os.path.basename(source_paths[j]) filename_without_ext = os.path.splitext(original_filename)[0] final_file_name = f"group-{group_index+1}-{j+1}-{filename_without_ext}" output_path = os.path.join(self.output_folder, f"{final_file_name}.jpg") log.info(f" Saving processed image to {output_path}") img.convert('RGB').save(output_path, quality=100) if self.caption: self.create_caption_file(source_paths[j], group_index, final_file_name) def create_caption_file(self, source_path, group_index, caption_filename): dirpath = os.path.dirname(source_path) caption = os.path.basename(dirpath).split('_')[-1] caption_filename = caption_filename + self.caption_ext caption_path = os.path.join(self.output_folder, caption_filename) with open(caption_path, 'w') as f: f.write(caption) def copy_other_files(self, group, group_index): for j, path in enumerate(group): dirpath, original_filename = os.path.split(path) original_basename, original_ext = os.path.splitext(original_filename) for filename in os.listdir(dirpath): if filename.endswith('.npz'): # Skip .npz continue basename, ext = os.path.splitext(filename) if basename == original_basename and ext != original_ext: shutil.copy2(os.path.join(dirpath, filename), os.path.join(self.output_folder, f"group-{group_index+1}-{j+1}-{filename}")) def process_images(self): images = self.get_image_paths() groups = self.group_images(images) for i, group in enumerate(groups): log.info(f"Processing group {i+1} with {len(group)} images...") self.process_group(group, i) def process_group(self, group, group_index): if len(group) > 0: aspect_ratios = self.get_aspect_ratios(group) avg_aspect_ratio = np.mean(aspect_ratios) if self.pad: padded_images = self.pad_images(group, avg_aspect_ratio) self.resize_and_save_images(padded_images, group_index, group) else: cropped_images = self.crop_images(group, avg_aspect_ratio) self.resize_and_save_images(cropped_images, group_index, group) if not self.do_not_copy_other_files: self.copy_other_files(group, group_index) def pad_images(self, group, avg_aspect_ratio): padded_images = [] for j, path in enumerate(group): with Image.open(path) as img: log.info(f" Processing image {j+1}: {path}") img = self.pad_image(img, avg_aspect_ratio) padded_images.append(img) return padded_images def pad_image(self, img, avg_aspect_ratio): img_aspect_ratio = img.width / img.height if img_aspect_ratio < avg_aspect_ratio: # Too tall, increase width new_width = avg_aspect_ratio * img.height pad_width = int((new_width - img.width) / 2) img = ImageOps.expand(img, border=(pad_width, 0), fill='black') else: # Too wide, increase height new_height = img.width / avg_aspect_ratio pad_height = int((new_height - img.height) / 2) img = ImageOps.expand(img, border=(0, pad_height), fill='black') return img def main(): parser = argparse.ArgumentParser(description='Process groups of images.') parser.add_argument('input_folder', type=str, help='Input folder containing images') parser.add_argument('output_folder', type=str, help='Output folder to store processed images') parser.add_argument('group_size', type=int, help='Number of images in each group') parser.add_argument('--include_subfolders', action='store_true', help='Include subfolders in search for images') parser.add_argument('--do_not_copy_other_files', '--no_copy', dest='do_not_copy_other_files', action='store_true', help='Do not copy other files with the same name as images') parser.add_argument('--pad', action='store_true', help='Pad images instead of cropping them') parser.add_argument('--caption', action='store_true', help='Create a caption file for each image') parser.add_argument('--caption_ext', type=str, default='.txt', help='Extension for the caption file') args = parser.parse_args() processor = ImageProcessor(args.input_folder, args.output_folder, args.group_size, args.include_subfolders, args.do_not_copy_other_files, args.pad, args.caption, args.caption_ext) processor.process_images() if __name__ == "__main__": main()