Become a sponsor to ImageIO
We are ImageIO. A python library that makes working with images (and video) a one-liner:
iio.imread("path/to/image") # read an image
iio.imwrite("path/to/image", data) # write an image
iio.immeta("path/to/image") # read file metadata
Why support ImageIO? Because reading and writing your data should just work; no matter where or how your data is stored. By supporting us, you make sure it stays that way for the 300+ formats that we support today and that we can add support for other formats, e.g., (live) video streams, in the future.
What will your support accomplish? It will allow us to add amazing new features. Here are some examples:
- Support (live) video streams like rtp, udp, IP cameras, and more (~160 developer hours)
- Enable direct access to AWS, GCP, Azure and other cloud providers (~400 developer hours)
- Implement neuroimaging file-format support (~400 developer hours)
- Create a royalty-free image database to test computer-vision applications (~40 developer hours + upkeep)
- Set up a discourse forum and build a community ($200/month licensing + ~8h/week community management)
Who uses ImageIO? Currently, over 80k+ GitHub repos use ImageIO 🥳 including projects such as scikit-image, wandb (weights and biases), imgaug, mujoco-py, and many more. It is available by default in Google Colab and chances are you already have it installed in your dev environment (thank you ❤️).
What can ImageIO do today? Read/Write around 300 image and video formats directly from your local filesystem, the web (http, ftp), Bytes
, and your webcam. With your support, we will soon be able to support live streams and read directly from cloud providers (AWS, GCP), too.
2 sponsors have funded imageio’s work.
Meet the team
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Sebastian Wallkötter FirefoxMetzgerCurrent maintainer and lead developer of ImageIO.
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Almar Klein almarkleinOriginal author of ImageIO.
Featured work
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imageio/imageio
Python library for reading and writing image data
Python 1,526 -
imageio/imageio-ffmpeg
FFMPEG wrapper for Python
Python 241