Package: alicevision Description-md5: 24f74f2adb49a14d9ddb0dead18f6afd Description-en: Photogrammetric Computer Vision Framework AliceVision aims to provide strong software basis with state-of-the-art computer vision algorithms that can be tested, analyzed and reused. The project is a result of collaboration between academia and industry to provide cutting-edge algorithms with the robustness and the quality required for production usage. . This package provides the executable tools Package: libalicevision-data Description-md5: ddf3277bd12a96a8873eb5b919423593 Description-en: Photogrammetric Computer Vision Framework AliceVision aims to provide strong software basis with state-of-the-art computer vision algorithms that can be tested, analyzed and reused. The project is a result of collaboration between academia and industry to provide cutting-edge algorithms with the robustness and the quality required for production usage. . This package provides the data files Package: libalicevision-dev Description-md5: 7c903fbdb1d3a9427fa77e32ec45b298 Description-en: Photogrammetric Computer Vision Framework AliceVision aims to provide strong software basis with state-of-the-art computer vision algorithms that can be tested, analyzed and reused. The project is a result of collaboration between academia and industry to provide cutting-edge algorithms with the robustness and the quality required for production usage. . This package provides the development files library Package: libalicevision3 Description-md5: bf536eaaaeccf9e2157dcbeb259107be Description-en: Photogrammetric Computer Vision Framework AliceVision aims to provide strong software basis with state-of-the-art computer vision algorithms that can be tested, analyzed and reused. The project is a result of collaboration between academia and industry to provide cutting-edge algorithms with the robustness and the quality required for production usage. . This package provides the shared library Package: matlab-gdf Description-md5: e6b3ac7570a50044c7b97d7c7cb7550c Description-en: IO library for the GDF -- Matlab interface GDF (General Dataformat for Biosignals) is intended to provide a generic storage for biosignals, such as EEG, ECG, MEG etc. . This package builds Matlab bindings for GDF at installation time. Note that this package depends on Matlab -- a commercial software that needs to be obtain and installed separately. Package: python-pycuda-doc Description-md5: d2d26cdc5d8142a30e628d0d8d16b5d7 Description-en: module to access Nvidia‘s CUDA computation API (documentation) PyCUDA lets you access Nvidia‘s CUDA parallel computation API from Python. Several wrappers of the CUDA API already exist–so what’s so special about PyCUDA? * Object cleanup tied to lifetime of objects. This idiom, often called RAII in C++, makes it much easier to write correct, leak- and crash-free code. PyCUDA knows about dependencies, too, so (for example) it won’t detach from a context before all memory allocated in it is also freed. * Convenience. Abstractions like pycuda.driver.SourceModule and pycuda.gpuarray.GPUArray make CUDA programming even more convenient than with Nvidia’s C-based runtime. * Completeness. PyCUDA puts the full power of CUDA’s driver API at your disposal, if you wish. * Automatic Error Checking. All CUDA errors are automatically translated into Python exceptions. * Speed. PyCUDA’s base layer is written in C++, so all the niceties above are virtually free. * Helpful Documentation. . This package contains HTML documentation and example scripts. Package: python3-pycuda Description-md5: f5e864b1bc221d1e37119a4f58a200d7 Description-en: Python 3 module to access Nvidia‘s CUDA parallel computation API PyCUDA lets you access Nvidia‘s CUDA parallel computation API from Python. Several wrappers of the CUDA API already exist–so what’s so special about PyCUDA? * Object cleanup tied to lifetime of objects. This idiom, often called RAII in C++, makes it much easier to write correct, leak- and crash-free code. PyCUDA knows about dependencies, too, so (for example) it won’t detach from a context before all memory allocated in it is also freed. * Convenience. Abstractions like pycuda.driver.SourceModule and pycuda.gpuarray.GPUArray make CUDA programming even more convenient than with Nvidia’s C-based runtime. * Completeness. PyCUDA puts the full power of CUDA’s driver API at your disposal, if you wish. * Automatic Error Checking. All CUDA errors are automatically translated into Python exceptions. * Speed. PyCUDA’s base layer is written in C++, so all the niceties above are virtually free. * Helpful Documentation. . This package contains Python 3 modules. Package: vcmi Description-md5: 42033b8fe4a65c917674dddaf0c13e89 Description-en: Rewrite of the Heroes of Might and Magic 3 game engine The purpose of VCMI project is to create a free implementation of the "Heroes of Might and Magic 3: In the Wake of Gods" engine to overcome limitations of the original engine for better modding support, higher resolutions, bigger map sizes and extended engine limits. . VCMI is a turn-based strategy game where the player controls a number of heroes commanding an army of creatures. The player explores the game map with their heroes, conquers enemy towns and improves their own. . VCMI stands for Vinyar Callor Meletya Ingole which means "New Heroes of Might and Magic" in Quenya. . This game requires the graphics, sound and videos of the "Heroes of Might and Magic 3: In the Wake of Gods" game. After installing this package, run either one of the following commands depending on whether you have access to the Good Old Games installer (1), the original CDs (2) or just the installed game directory (3): . (1): vcmibuilder --gog /path/to/gog.com/installer (2): vcmibuilder --cd1 /path/to/iso/or/cd --cd2 /path/to/second/cd (3): vcmibuilder --data /path/to/h3/data . Alternatively, use `game-data-packager heroes3`. . This package contains the game engine.