google-cloud-storage-image-resizer 2.37.0

Import, rotate, crop and resize pictures into google Cloud Storage

cloudstorageimageresizer

A python module to import, rotate, crop and resize pictures into Google Cloud Storage

DISCLAIMER

THIS IS NOT AN OFFICIAL GOOGLE MODULE.

Synopsis

Typical usecase: fetch a bunch of image and generate thumbnails of various sizes for each of them, stored in Cloud Storage for further delivery via a CDN.

from cloudstorageimageresizer import ImageResizer

# Initialize an ImageResizer:
i = ImageResizer()

urls = [
    'http://www.gokqsw.com/images/picture/picture-3.jpg',
    'http://www.gokqsw.com/images/picture/picture-4.jpg'
]

for url in urls:

    # Fetch image into memory and store it in original format to a Google Cloud
    # Storage bucket
    i.fetch(url).store(
        in_bucket='my-images',
        key_name='image-original'
    )

    # Apply the image EXIF rotation, if any
    i.orientate()

    # Resize this image, store it into a Google Cloud Storage bucket and return its url
    url1 = i.resize(
        width=200
    ).store(
        in_bucket='my-images',
        key_name='image-w200'
    )

    # Do it again, with a different size
    url2 = i.resize(
        height=400
    ).store(
        in_bucket='my-images',
        key_name='image-h200'
    )

More explanation

For method parameters, see the code (there isn't much of it ;-)

ImageResizer does all image operations in-memory, without writing images to disk.

The ImageResizer instance is immutable: its internal image is never modified. Each image operation instead returns a clone of the ImageResizer loaded with the modified image. This allows you to chain image operations, and manipulate the same image in different ways without having to explicitely keep a backup copy of it.

ImageResizer uses PIL, has reasonable defaults for downsizing images and handle images with alpha channels nicely.

All images are stored in png format to preserve transparency.

Installation

cloudstorageimageresizer requires Pillow, which in turn needs external libraries. On Ubuntu, you would for example need:

sudo apt-get install libjpeg8 libjpeg8-dev libopenjpeg-dev

Then

pip install cloudstorageimageresizer

Testing

Add your JSON Google API credentials in the file gcloud-credentials.json, edit the BUCKET_NAME in example.py and run it:

python example.py

PEP8

The project follows the PEP8 convention.

It uses flake8 to check the code. If you've installed the dev-dependencies then you can just run the flake8-command and it'll tell you what needs to be fixed if applicable.

Source code

https://github.com/erwan-lemonnier/cloud-storage-image-resizer

Author and contributors

Erwan Lemonnier
github.com/pymacaron
github.com/erwan-lemonnier
linkedin.com/in/erwan-lemonnier/

Johan Wänglöf
github.com/jwanglof
linkedin.com/in/johan-w%C3%A4ngl%C3%B6f-09076192/