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import argparse |
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import json |
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import os |
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from multiprocessing import Pool |
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from pathlib import Path |
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import requests |
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from fathomnet.api import images |
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from tqdm import tqdm |
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def download_imgs(args, image_uuids): |
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flag = 0 |
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for uuid in tqdm(image_uuids, desc="Downloading images"): |
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image = images.find_by_uuid(uuid) |
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file_name = ( |
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Path(args.processed_images_folder) |
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/ f"{image.uuid}.{image.url.split('.')[-1]}" |
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) |
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if not file_name.exists(): |
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try: |
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resp = requests.get(image.url, stream=True) |
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resp.raise_for_status() |
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with open(file_name, "wb") as f: |
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for chunk in resp.iter_content(chunk_size=1024): |
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f.write(chunk) |
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flag += 1 |
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except requests.exceptions.RequestException as e: |
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print(f"Error downloading {image.url}: {e}") |
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print(f"Downloaded {flag} new images to {args.processed_images_folder}") |
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def main(): |
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parser = argparse.ArgumentParser(description="Download images from FathomNet") |
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parser.add_argument("--processed_images_folder", help="Path to downloaded images") |
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parser.add_argument( |
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"--image-uuids", |
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default="fathomnet_image_uuids.json", |
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help="Path to JSON file containing image uuids to download", |
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) |
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parser.add_argument( |
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"--num-procs", type=int, default=16, help="Number of parallel processes" |
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) |
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args = parser.parse_args() |
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with open(args.image_uuids, "r") as f: |
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all_uuids = json.load(f) |
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Path(args.processed_images_folder).mkdir(parents=True, exist_ok=True) |
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chunk_size = len(all_uuids) // args.num_procs |
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chunks = [ |
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all_uuids[i : i + chunk_size] for i in range(0, len(all_uuids), chunk_size) |
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] |
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with Pool(processes=args.num_procs) as pool: |
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pool.starmap(download_imgs, [(args, chunk) for chunk in chunks]) |
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if __name__ == "__main__": |
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main() |
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