image analysis at
Warp
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features
processing
Intel SSE2/SIMD technology utilized for performance boost
Multithreading engine allows for performing up to 16 parallel operations simultaneously
Automatic parallelization distributes imaging functions among several CPUs on multiprocessor and multicore systems
Distributed image processing on several computers using Gigabit Eithernet
Execution time of the last called function displayed for benchmarking and prototyping purposes
Progress meters on the status bar (up to four in multiprocessing mode*) for following the execution progress of each function
Hidden images for buffering intermediate results in scripts
All operations performed on the current image selection
Selectable coordinate system for processing color images (RGB, HLS, HSV, L-vector)
Selectable overscan (invisible borders around the images) for speed-boost
High-depth image support in all processing functions
conversion
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