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Fast Images Loader

Fast Images Loader is an asynchronous tool for downloading images from the internet and saving them to a specified folder. It uses the aiohttp library for asynchronous HTTP requests and tqdm for displaying download progress.

Installation

You can install the package using pip:

pip install fast_images_loader

Usage

Loading via import is supported:

from fast_images_loader import FastImagesLoader

photo_urls = [
    "list of urls",
]
photo_dir = "test_dir"
photo_paths = [os.path.join(photo_dir, f"{idx}.jpeg") for idx in range(len(photo_urls))]
FastImagesLoader().load_photos_to_folder(photo_urls, photo_paths, photo_dir)

Fast Images Loader can be used as a command in the command line:

fast_images_loader [photo_urls] [data_folder]
  • photo_urls: List of photo URLs to download.
  • data_folder: Folder where the downloaded photos will be saved.

Example

fast_images_loader https://example.com/photo1.jpg https://example.com/photo2.jpg ./downloads

This will download the photos from the specified URLs and save them in the ./downloads folder.

Dependencies

  • aiohttp
  • tqdm
  • loguru
  • nest_asyncio

Development

If you want to make changes to the project, clone the repository and install the dependencies:

git clone https://github.com/your-profile/fast_images_loader.git
cd fast_images_loader
pip install -r requirements.txt

Testing

Tests are located in the tests folder. Use pytest to run the tests:

pytest