Search Results for "ram"

...Features Multi-instrument Support: Process both MIRI and NIRCam data Background Matching: Automatic background leveling across exposures Cosmic Ray Rejection: Advanced cosmic ray identification and removal Seamless Mosaicking: Create continuous field mosaics from dithered observations Source Extraction: Generate segmentation maps and source catalogs Calibration-ready: Works with JWST pipeline products (_cal.fits, _rate.fits) Memory Efficient: Handles large JWST datasets efficiently Installation Prerequisites Python 3.8 or higher JWST calibration pipeline 4GB+ RAM recommended for large mosaics Quick Install git clone https://github.com/tlcagford/JWST-Merge cd JWST-Merge pip install -r requirements.txt

...So, anyone can use them for free without any restrictions. Main features: 63-bit addressing of array elements (64-bit long int indexes), memory model concept (allowing storing data in different schemes from RAM to mapped disk files), wide usage of lazy evaluations, built-in multithreading optimization for multi-core processors, wide set of image processing algorithms over matrices, etc. - please see at the site. Almost all classes and methods are thoroughly documented via JavaDoc (you may read full JavaDoc at the site).