Caire is a command-line image processing engine designed for content-aware resizing and batch manipulation. It utilizes seam carving algorithms to adjust image dimensions by identifying and removing low-energy pixels, allowing for the rescaling of images while preserving primary visual subjects and maintaining aspect ratios.
The tool distinguishes itself through its ability to protect specific visual elements, such as human faces, from distortion during the resizing process. Users can apply custom binary masks to define regions for protection or forced removal, and the engine provides real-time graphical previews to visualize algorithm execution paths and progress.
Beyond resizing, the software supports a range of image manipulation tasks including format conversion, edge detection, rotation, and Gaussian blur application. It is built to integrate into automated workflows by accepting image data through standard input and output pipes, and it supports remote asset transformation by processing images directly from web URLs.
The project is distributed as a standalone executable binary and leverages worker-pool concurrency to process large batches of images in parallel across multiple CPU cores.
