pRPL | parallel Raster Processing Library | Computer Vision library

pRPL is a C++ library typically used in Artificial Intelligence, Computer Vision applications. pRPL has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

parallel Raster Processing Library (pRPL) is a C++ programming library that provides easy-to-use interfaces to parallelize raster/image processing algorithms. 1. To Compile Note: this version is not a final release, and some components are still under testsing. The program has been tested on Scientific Linux 6.7 operation system, compiled using g++ 4.9, OpenMPI 1.9, GDAL 1.9, and LibTIFF 4.0. The makefile (i.e., make_pAspect) will compile a demonstration program, pAspect, which is able to calcuate aspect and slope from DEM data in parallel. (1) Before compiling, make sure MPI, GDAL, and LibTIFF libraries have been installed. (2) Open make_pAspect and modify the lines that specify the locations of libraries. (3) Type 'make -f make_pAspect depend'. (4) Type 'make -f make_pAspect' to compile. After successful compilation, an executable file named pAspect will be generated. 2. To Run There is a nd_dem.tif file, which is the DEM data at 1.5km resolution of North Dakota in the US. Note that this data is only for testing if the pAspect program works as expected, not for demonstrating the performance. 2.1 Usage: mpirun -np pAspect workspace: the directory where the input file is located and the output files will be written. input-demFilename: the input file in the GeoTIFF format, usually the DEM data. num-row-subspaces: the number of sub-domains in the Y axis, for domain decomposition. If num-row-subspaces > 1 and num-col-subspaces = 1, the domain is decomposed as row-wise; if num-row-subspaces = 1 and num-col-subspaces > 1, the domain is decomposed as column-wise; if both > 1, the domain is decomposed as block-wise. num-col-subspaces: the number of sub-domains in the X axis, for domain decomposition. task-farming: load-balancing option, either 0 or 1. if 0, static load-balancing; if 1, task farming. io-option: I/O option, ranges within [0, 5]. Option 0: GDAL-based centralized reading, no writing; Option 1: GDAL-based parallel reading, no writing; Option 2: pGTIOL-based parallel reading, no writing; Option 3: GDAL-based centralized reading and writing; Option 4: GDAL-based parallel reading and pseudo parallel writing; Option 5: pGTIOL-based parallel reading and parallel writing. with-writer: an option that specify whether a writer process will be used. If 0, no writer; if 1, use a writer. 2.2 Example: mpirun -np 8 ./pAspect ./ nd_dem.tif 8 1 0 5 0.