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Black Box Geometric Computing with Python: From Theory to Practice

Sebastian Koch, Teseo Schneider, Chengchen Li, Daniele Panozzo
2020 Annual Conference of the European Association for Computer Graphics  
Finally, our libraries are blazing fast, doing most of the heavy computations in C++ with a minimal constant-overhead interface to Python.  ...  In the second part we will move to practice, introducing a set of easy-to-use Python packages for applications in geometric computing.  ...  The main course material is available at https://geometryprocessing.github.io/ blackbox-computing-python  ... 
doi:10.2312/egt.20201000 dblp:conf/eurographics/KochSLP20 fatcat:lxt2i4k46zfgnp6msn7booaq3m

Application of Python-OpenCV to detect contour of shapes and colour of a real image

Mohammed Khalid Hossen, Sayed Mashequl Bari, Partho Protim Barman, Rana Roy, Pranajit Kumar Das
2022 Zenodo  
Keywords: OpenCV, Python, Numpy, Computer vision, shape and colour detection.  ...  Journal of Novel Research in Computer Science and Software Engineering ISSN 2394-7314 Vol. 9, Issue 2, May 2022 - August 2022 Page No: 20-25 Novelty Journals Website: www.noveltyjournals.com Published  ...  Shape and colour detection of Geometrical shape In the first stage, we have made an image with six various geometrical shapes and colours, see Figure 1 .  ... 
doi:10.5281/zenodo.6576263 fatcat:yfue52ngvza67j6qep7teg2vke

GeNePy3D: a quantitative geometry python toolbox for large scale bioimaging

Minh-Son Phan, Anatole Chessel
2020 F1000Research  
The data mining of those geometrical objects requires a variety of mathematical and computational tools of diverse accessibility and complexity.  ...  The advent of large-scale fluorescence and electronic microscopy techniques along with maturing image analysis is giving life sciences a deluge of geometrical objects in 2D/3D(+t) to deal with.  ...  Operation GeNePy3D works with Python 3.6.  ... 
doi:10.12688/f1000research.27395.1 pmid:34249350 pmcid:PMC8226399 fatcat:43ehxqb5arhfpdk3zqtbo2j7om

GeNePy3D: a quantitative geometry python toolbox for bioimaging

Minh-Son Phan, Anatole Chessel
2021 F1000Research  
The data mining of those geometrical objects requires a variety of mathematical and computational tools of diverse accessibility and complexity.  ...  The advent of large-scale fluorescence and electronic microscopy techniques along with maturing image analysis is giving life sciences a deluge of geometrical objects in 2D/3D(+t) to deal with.  ...  Operation GeNePy3D works with Python 3.6.  ... 
doi:10.12688/f1000research.27395.2 fatcat:3muqcdgc25d6lj67b2vxshfsmm

Toward a Simple Design and Manufacturing Pipeline for Additive Manufacturing

Vahid Haseltalab, Melik Dolen, Ulas Yaman, Christoph Hoffmann
2021 IEEE Access  
Employing the geometric entities in Figure 6 , three P3D Python scripts are created to define the corresponding geometric models. Table 1 lists the Python script for the impeller.  ...  library functions, can easily be implemented on any computing platform with limited resources.  ...  CHRISTOPH HOFFMANN is a professor in the Department of Computer Science at Purdue University. Before joining the Purdue faculty, he taught at the University of Waterloo, Canada.  ... 
doi:10.1109/access.2021.3101365 fatcat:tvd5vll45bcdzfbgxbnaznk7s4

PlantGL: A Python-based geometric library for 3D plant modelling at different scales

C. Pradal, F. Boudon, C. Nouguier, J. Chopard, C. Godin
2009 Graphical Models  
This C++ geometric library is embedded in the Python language which makes it a powerful user-interactive platform for plant modeling in various biological application domains.  ...  Based on a scene graph augmented with primitives dedicated to plant representation, several methods are provided to create plant architectures from either field measurements or procedural algorithms.  ...  Da Silva for STAR computation on the apple tree and the shadow images, P. Barbier de Reuille and Y. Caraglio for their contribution to some images, and H. Sinoquet, E. Costes, F. Danjon, C.-E.  ... 
doi:10.1016/j.gmod.2008.10.001 fatcat:hyl7j6ijbjhi3b6b5cbxw6hg34

Using Locally Corresponding CAD Models for Dense 3D Reconstructions from a Single Image

Chen Kong, Chen-Hsuan Lin, Simon Lucey
2017 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)  
implicitly handle geometric noises.  ...  and Relative Attributes [3] (Python/C++, Tensorflow/Caffe) We proposed a deep generative network capable of disentangling image representations into extrinsic and intrinsic attributes.  ...  implicitly handle geometric noises.  ... 
doi:10.1109/cvpr.2017.594 dblp:conf/cvpr/KongLL17 fatcat:uncqdu3xsbbubkcbaakks64xfq

pyGHS: Computing Geometric Histogram Separation in Binomial Proportion Patterns
English

R Sautter, P Barchi
2017 Journal of Computational Interdisciplinary Sciences  
This is a short technical report on pyGHS, a code designed in python to calculate the geometric separation between two histograms that represent a pattern of binomial proportion.  ...  • Program title: pyGHS (python Geometric Histogram Separation) • Program URL: https://github.com/GFEC-INPE/pyGHS • Licensing provisions: GNU General Public License.  ...  : No • Nature of the problem: The challenge in Computational Discriminant Analysis [1] is to project a dataset onto a lower-dimensional space with good class-separability and also reduce computational  ... 
doi:10.6062/jcis.2017.08.01.0121 fatcat:hs5wfga6nbeabk2zrhs2astiwe

Basicsums: A Python package for computing structural sums and the effective conductivity of random composites

Wojciech Nawalaniec
2019 Journal of Open Source Software  
Basicsums: A Python package for computing structural sums and the effective conductivity of random composites.  ...  Basicsusms package description Basicsusms is a Python 3 package for computing structural sums and the EC of random composites.  ... 
doi:10.21105/joss.01327 fatcat:4pbe4vd5hbbtnc6gqyiiaprhbi

Python for Automating Machine Learning Tasks

Tinatin Mshvidobadze
2021 JINAV: Journal of Information and Visualization  
Machine learning is used in a variety of computational tasks where designing and programming explicit algorithms with good performance is not easy.  ...  The article discusses the Python programming language as the best language for automating machine learning tasks.  ...  a geometric interpretation.  ... 
doi:10.35877/454ri.jinav373 fatcat:vzeyn7ktsrd43h6jdtcelqqrqm

coxeter: A Python package for working with shapes

Vyas Ramasubramani, Bradley Dice, Tobias Dwyer, Sharon Glotzer
2021 Journal of Open Source Software  
The coxeter Python package provides tools to represent, generate, and compute properties of shapes in two and three dimensions.  ...  The surrounding bubbles represent a sampling of what coxeter can do with a shape.  ...  The coxeter Python package provides tools to represent, generate, and compute properties of shapes in two and three dimensions.  ... 
doi:10.21105/joss.03098 fatcat:32o7odytjjdalgnfoux3tg55ay

Geomstats: A Python Package for Riemannian Geometry in Machine Learning [article]

Nina Miolane, Alice Le Brigant, Johan Mathe, Benjamin Hou, Nicolas Guigui, Yann Thanwerdas, Stefan Heyder, Olivier Peltre, Niklas Koep, Hadi Zaatiti, Hatem Hajri, Yann Cabanes (+7 others)
2020 arXiv   pre-print
We introduce Geomstats, an open-source Python toolbox for computations and statistics on nonlinear manifolds, such as hyperbolic spaces, spaces of symmetric positive definite matrices, Lie groups of transformations  ...  Among others, manifolds come equipped with families of Riemannian metrics, with associated exponential and logarithmic maps, geodesics and parallel transport.  ...  We present Geomstats, an open-source Python package of computations and statistics on nonlinear manifolds.  ... 
arXiv:2004.04667v1 fatcat:j2fxkjiwijfmne5op2aofeucly

Incorporation of Computational Thinking Practices to Enhance Learning in a Programming Course

Leticia Laura-Ochoa, Norka Bedregal-Alpaca
2022 International Journal of Advanced Computer Science and Applications  
The results show that with the use of support programming tools, such as PSeInt, CodingBat, Python turtle graphic library, and the incorporation of computational thinking practices, the experimental group  ...  Thus, the aim of the experience described here was to incorporate computational thinking practices to improve learning in a first Python programming course using programming tools such as PSeInt, CodingBat  ...  and develop skills related to computational thinking in a first programming course with Python.  ... 
doi:10.14569/ijacsa.2022.0130224 fatcat:cnda5il6vffgdmt3pk5icbejgq

ngsxfem: Add-on to NGSolve for geometrically unfitted finite element discretizations

Christoph Lehrenfeld, Fabian Heimann, Janosch Preuß, Henry von Wahl
2021 Journal of Open Source Software  
Both, Netgen/NGSolve and ngsxfem are written in C++ with a rich Python interface through which it is typically used. ngsxfem is an academic software.  ...  To be more flexible with regard to the geometry, geometrically unfitted finite element methods can be considered which break the direct link between the geometry parametrization and the computational mesh  ...  Acknowledgements The authors acknowledge the support by the NGSolve crew, especially Matthias Hochsteger and Christopher Lackner for keeping the build system compatible with NGSolve.  ... 
doi:10.21105/joss.03237 fatcat:d75imfrtx5fqtekolmfkh5dpfq

Geometric MDS Performance for Large Data Dimensionality Reduction and Visualization

Gintautas Dzemyda, Martynas Sabaliauskas, Viktor Medvedev
2022 Informatica  
The sequential implementation is optimized for computational speed, enabling it to solve large data problems. It is compared with the SMACOF version of MDS.  ...  Python codes for both Geometric MDS and SMACOF are presented to highlight the differences between the two implementations.  ...  The Geometric MDS and SMACOF programming implementation code for Python has been optimized for computational speed.  ... 
doi:10.15388/22-infor491 fatcat:mvudhetlqfhb7at4vzrhwz4p7e
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