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Caire vs scikit-image: What are the differences?
What is Caire? Content aware image resize library. A content aware image resize library based on the Seam Carving for Content-Aware Image Resizing paper.
What is scikit-image? Image processing in Python. scikit-image is a collection of algorithms for image processing.
Caire and scikit-image belong to "Image Processing and Management" category of the tech stack.
Some of the features offered by Caire are:
- Customizable command line support
- Support for both shrinking or enlarging the image
- Resize image both vertically and horizontally
On the other hand, scikit-image provides the following key features:
- Provides I/O, filtering, morphology, transformations, measurement, annotation, color conversions, test data sets, etc.
- Written in Python with a well-commented source code
- Has had 5,709 commits made by 116 contributors representing 29,953 lines of code
Caire and scikit-image are both open source tools. Caire with 8.93K GitHub stars and 311 forks on GitHub appears to be more popular than scikit-image with 3.1K GitHub stars and 1.31K GitHub forks.
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Learn MorePros of Caire
Pros of scikit-image
Pros of Caire
- Open Source1
Pros of scikit-image
- More powerful6
- Anaconda compatibility4
- Great documentation1
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What is Caire?
A content aware image resize library based on the Seam Carving for Content-Aware Image Resizing paper
What is scikit-image?
scikit-image is a collection of algorithms for image processing.
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What companies use Caire?
What companies use scikit-image?
What companies use Caire?
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What companies use scikit-image?
See which teams inside your own company are using Caire or scikit-image.
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What tools integrate with Caire?
What tools integrate with scikit-image?
What tools integrate with Caire?
No integrations found
What tools integrate with scikit-image?
What are some alternatives to Caire and scikit-image?
OpenCV
OpenCV was designed for computational efficiency and with a strong focus on real-time applications. Written in optimized C/C++, the library can take advantage of multi-core processing. Enabled with OpenCL, it can take advantage of the hardware acceleration of the underlying heterogeneous compute platform.
Cloudinary
Cloudinary is a cloud-based service that streamlines websites and mobile applications' entire image and video management needs - uploads, storage, administration, manipulations, and delivery.
Pillow
It adds image processing capabilities to your Python interpreter. It provides extensive file format support, an efficient internal representation, and fairly powerful image processing capabilities.
FFMPEG
The universal multimedia toolkit.
imgix
imgix is the leading platform for end-to-end visual media processing. With robust APIs, SDKs, and integrations, imgix empowers developers to optimize, transform, manage, and deliver images and videos at scale through simple URL parameters.