| import cv2 |
| import numpy as np |
| import os |
| import pathlib |
| import argparse |
|
|
| def group_images(path_list): |
| sorted(path_list) |
| class_id_dict = {} |
| for path in path_list: |
| class_id = str(path.name).split('_')[0] |
| if class_id not in class_id_dict: |
| class_id_dict[class_id] = [] |
| class_id_dict[class_id].append(path) |
| return class_id_dict |
|
|
| def cat_images(path_list): |
| imgs = [] |
| for path in path_list: |
| img = cv2.imread(str(path)) |
| os.remove(path) |
| imgs.append(img) |
| row_cat_images = [] |
| row_length = int(len(imgs)**0.5) |
| for i in range(len(imgs)//row_length): |
| row_cat_images.append(np.concatenate(imgs[i*row_length:(i+1)*row_length], axis=1)) |
| cat_image = np.concatenate(row_cat_images, axis=0) |
| return cat_image |
|
|
| if __name__ == '__main__': |
| parser = argparse.ArgumentParser() |
| parser.add_argument('--src_dir', type=str, default=None) |
| |
| args = parser.parse_args() |
| src_dir = args.src_dir |
| path_list = list(pathlib.Path(src_dir).glob('*.png')) |
| class_id_dict = group_images(path_list) |
| for class_id, path_list in class_id_dict.items(): |
| cat_image = cat_images(path_list) |
| cat_path = os.path.join(src_dir, f'{class_id}.jpg') |
| |
| cv2.imwrite(cat_path, cat_image) |
