Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Imagor is a high-performance and secure image processing server and Go library that leverages the capabilities of the highly efficient libvips library for image manipulation. It offers a broad array of image functions, such as resizing, cropping, rotating, flipping, and the application of various filters. Built to operate without maintaining state, Imagor can be seamlessly deployed via Docker containers. The system accommodates different storage solutions, including HTTP, AWS S3, Google Cloud Storage, and local file systems. Its highly customizable nature permits users to specify loaders, storages, and processors tailored to their particular requirements. Additionally, Imagor supports URL-safe image operations, facilitating real-time image transformations through URL parameters. Enhanced security is provided by HMAC-based URL signing, which safeguards against unauthorized access. Users benefit from its extensibility, allowing the integration of custom filters and processors to meet diverse needs. Furthermore, for generating video thumbnails, Imagor offers integration with ffmpeg through the imagorvideo extension, enabling the extraction of frames from videos for use as thumbnails. This versatility makes Imagor an ideal choice for various image processing tasks across different platforms.
Description
Scikit-image is an extensive suite of algorithms designed for image processing tasks. It is provided at no cost and without restrictions. Our commitment to quality is reflected in our peer-reviewed code, developed by a dedicated community of volunteers. This library offers a flexible array of image processing functionalities in Python. The development process is highly collaborative, with contributions from anyone interested in enhancing the library. Scikit-image strives to serve as the definitive library for scientific image analysis within the Python ecosystem. We focus on ease of use and straightforward installation to facilitate adoption. Moreover, we are judicious about incorporating new dependencies, sometimes removing existing ones or making them optional based on necessity. Each function in our API comes with comprehensive docstrings that clearly define expected inputs and outputs. Furthermore, arguments that share conceptual similarities are consistently named and positioned within function signatures. Our test coverage is nearly 100%, and every piece of code is scrutinized by at least two core developers prior to its integration into the library, ensuring robust quality control. Overall, scikit-image is committed to fostering a rich environment for scientific image analysis and ongoing community engagement.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
Akira AI
No
Amazon S3
Yes
Cython
No
Docker
Yes
Go
Yes
Google Cloud Storage
Yes
Label Studio
No
MLReef
No
PostgresML
No
Python
No
Integrations
Akira AI
Yes
Amazon S3
No
Cython
Yes
Docker
No
Go
No
Google Cloud Storage
No
Label Studio
Yes
MLReef
Yes
PostgresML
Yes
Python
Yes
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
Free
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
cshum
Country
China
Website
github.com/cshum/imagor
Vendor Details
Company Name
scikit-image
Country
United States
Website
scikit-image.org