Showing 2 open source projects for "image pattern recognition"

View related business solutions
  • Save Up to 91% on Cloud Compute With Spot VMs Icon
    Save Up to 91% on Cloud Compute With Spot VMs

    Automatic sustained-use discounts. One free VM per month. No negotiation needed.

    Run batch jobs at 60-91% off with Spot VMs. Long-running workloads get automatic discounts with sustained use.
    Start Free
  • Fully Managed MySQL, PostgreSQL, and SQL Server Icon
    Fully Managed MySQL, PostgreSQL, and SQL Server

    Automatic backups, patching, replication, and failover. Focus on your app, not your database.

    Cloud SQL handles your database ops end to end, so you can focus on your app.
    Start Free
  • 1
    CSS3 Patterns

    CSS3 Patterns

    The popular CSS3 patterns gallery, now on Github

    CSS3 Patterns is a gallery of repeating backgrounds created primarily with CSS gradients instead of image files. It collects geometric, textile, decorative, and abstract designs that can be applied directly to web pages. Selecting a pattern expands its presentation and exposes editable CSS so visitors can study or adapt the technique. The project emphasizes compact code, fewer HTTP requests, and reasonable complexity rather than reproducing every possible visual effect. ...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 2
    img2css

    img2css

    Convert any image to pure CSS. Recreates images using only box-shadows

    This is a tool that can convert any image into a pure CSS image. I also made a per-pixel animation experiment using the box-shadow idea, see morphin. Pure CSS, this output was created by resizing and setting each pixel as a box shadow of a single-pixel div, so no IMG tag or background image is needed. This can result in huge outputs, and the use of this output is not recommended for production unless there is no other option. Base64, the entire image file is embedded inside the <img> tag...
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next