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| # Copyright 2024 Custom Diffusion authors. All rights reserved. | |
| # | |
| # Licensed under the Apache License, Version 2.0 (the "License"); | |
| # you may not use this file except in compliance with the License. | |
| # You may obtain a copy of the License at | |
| # | |
| # http://www.apache.org/licenses/LICENSE-2.0 | |
| # | |
| # Unless required by applicable law or agreed to in writing, software | |
| # distributed under the License is distributed on an "AS IS" BASIS, | |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| # See the License for the specific language governing permissions and | |
| # limitations under the License. | |
| import argparse | |
| import os | |
| from io import BytesIO | |
| from pathlib import Path | |
| import requests | |
| from clip_retrieval.clip_client import ClipClient | |
| from PIL import Image | |
| from tqdm import tqdm | |
| def retrieve(class_prompt, class_data_dir, num_class_images): | |
| factor = 1.5 | |
| num_images = int(factor * num_class_images) | |
| client = ClipClient( | |
| url="https://knn.laion.ai/knn-service", indice_name="laion_400m", num_images=num_images, aesthetic_weight=0.1 | |
| ) | |
| os.makedirs(f"{class_data_dir}/images", exist_ok=True) | |
| if len(list(Path(f"{class_data_dir}/images").iterdir())) >= num_class_images: | |
| return | |
| while True: | |
| class_images = client.query(text=class_prompt) | |
| if len(class_images) >= factor * num_class_images or num_images > 1e4: | |
| break | |
| else: | |
| num_images = int(factor * num_images) | |
| client = ClipClient( | |
| url="https://knn.laion.ai/knn-service", | |
| indice_name="laion_400m", | |
| num_images=num_images, | |
| aesthetic_weight=0.1, | |
| ) | |
| count = 0 | |
| total = 0 | |
| pbar = tqdm(desc="downloading real regularization images", total=num_class_images) | |
| with open(f"{class_data_dir}/caption.txt", "w") as f1, open(f"{class_data_dir}/urls.txt", "w") as f2, open( | |
| f"{class_data_dir}/images.txt", "w" | |
| ) as f3: | |
| while total < num_class_images: | |
| images = class_images[count] | |
| count += 1 | |
| try: | |
| img = requests.get(images["url"], timeout=30) | |
| if img.status_code == 200: | |
| _ = Image.open(BytesIO(img.content)) | |
| with open(f"{class_data_dir}/images/{total}.jpg", "wb") as f: | |
| f.write(img.content) | |
| f1.write(images["caption"] + "\n") | |
| f2.write(images["url"] + "\n") | |
| f3.write(f"{class_data_dir}/images/{total}.jpg" + "\n") | |
| total += 1 | |
| pbar.update(1) | |
| else: | |
| continue | |
| except Exception: | |
| continue | |
| return | |
| def parse_args(): | |
| parser = argparse.ArgumentParser("", add_help=False) | |
| parser.add_argument("--class_prompt", help="text prompt to retrieve images", required=True, type=str) | |
| parser.add_argument("--class_data_dir", help="path to save images", required=True, type=str) | |
| parser.add_argument("--num_class_images", help="number of images to download", default=200, type=int) | |
| return parser.parse_args() | |
| if __name__ == "__main__": | |
| args = parse_args() | |
| retrieve(args.class_prompt, args.class_data_dir, args.num_class_images) | |