Image & Design

RetargetMe

Advanced computer vision library for retargeting and image manipulation.

Status
Not yet determined
Last checked
Unverified
License
Open source
Pricing
Free tier · from $0

What it is

RetargetMe is a powerful computer vision library designed to handle complex tasks such as content-aware resizing, object removal, and image retargeting. It provides developers with the tools necessary to manipulate images in sophisticated ways, ensuring that the visual integrity of the original content is maintained.

RetargetMe stands out with its advanced algorithms specifically tailored for content-aware resizing and object removal, offering a unique set of tools that prioritize maintaining the visual integrity of images during manipulation.

When it fits — and when it doesn’t

A good fit for

  • Developers working on applications that require sophisticated image manipulation and retargeting capabilities

  • Design teams needing to maintain visual integrity during content resizing or object removal in images

Look elsewhere if

  • Projects requiring real-time video processing, as RetargetMe is optimized for static image handling

  • Applications where the primary focus is on general-purpose computer vision tasks rather than specialized retargeting and manipulation

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Steep learning curve for non-C++ developers

    The library is primarily written in C++, which can be challenging for developers with a background in other languages to use effectively.

  2. 02

    Limited language support beyond C++

    While there are community-maintained bindings and SDKs, they may not offer the same level of functionality or stability as the core C++ library.

  3. 03

    Performance can degrade with complex operations

    Advanced image processing tasks like content-aware resizing and object removal are computationally intensive and can lead to slow performance on less powerful hardware.

  4. 04

    Documentation is sparse and lacks examples

    The official documentation does not provide comprehensive guides or code samples, making it difficult for new users to understand how to use the library effectively.

What it does well

  • Advanced content-aware resizing algorithms

  • Object removal capabilities

  • Seam carving techniques for image retargeting

Pricing

Free tier
YesOpen source — free to use
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

How Fast Is It?

Set up RetargetMe

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →