Kategori: Uncategorized

Compiler C/C++ untuk prosesor AMD

Pilihan compiler untuk prosesor AMD

  • gcc
  • clang
  • AOCC
  • Intel Compiler
  • PGI Compiler

Referensi

  • Performance exploration of various C/C++ compilers for AMD EPYC processors in numerical modeling of solidification https://icis.pcz.pl/~lszustak/sonata13/JCR_2022_9_ADES_Compilers.pdf
  • https://www.sciencedirect.com/science/article/abs/pii/S0965997821001071

Kornia: an Open Source Differentiable Computer Vision Library for PyTorch

This work presents Kornia – an open source computer
vision library which consists of a set of differentiable rou-
tines and modules to solve generic computer vision prob-
lems. The package uses PyTorch as its main backend both
for efficiency and to take advantage of the reverse-mode
auto-differentiation to define and compute the gradient of
complex functions. Inspired by OpenCV, Kornia is com-
posed of a set of modules containing operators that can be
inserted inside neural networks to train models to perform
image transformations, camera calibration, epipolar geom-
etry, and low level image processing techniques, such as
filtering and edge detection that operate directly on high
dimensional tensor representations. Examples of classical
vision problems implemented using our framework are pro-
vided including a benchmark comparing to existing vision
libraries.

Referensi

  • https://arxiv.org/pdf/1910.02190.pdf
  • https://github.com/kornia/kornia
  • https://twitter.com/kornia_foss

PC Mainboard Schematics: Gigabyte

Gigabyte Motherboards:

Gigabyte GA-EG31M-S2

https://www.gigabyte.com/Motherboard/GA-EG31M-S2-rev-20

Gigabyte GA-EP31 DS3L

https://www.gigabyte.com/Motherboard/GA-EP31-DS3L-rev-10

GA-G33M-DS2R

https://www.gigabyte.com/Motherboard/GA-G33M-DS2R-rev-1x

GA-G31M-S3L

https://www.gigabyte.com/Motherboard/GA-G31-S3L-rev-1x

GA-G31M-S2L

https://www.gigabyte.com/id/Motherboard/GA-G31M-S2L-rev-10

GA-G31M-ES2L

https://www.gigabyte.com/id/Motherboard/GA-G31M-ES2L-rev-23/sp

Referensi

 

 

Belajar Penglihatan Komputer dari Prinsip Dasar

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Belajar dari prinsip dasar

Video di kanal youtube: :https://www.youtube.com/channel/UCf0WB91t8Ky6AuYcQV0CcLw/playlists

Daftar Slide: https://fpcv.cs.columbia.edu/Monographs

Daftar Slide

  • “Introduction to Computer Vision,” Shree K. Nayar,
    Monograph FPCV-0-1, First Principles of Computer Vision,
    Columbia University, New York, Feb. 2022
    [PDF] [bib] [©]
  • “Image Formation,”Shree K. Nayar,Monograph FPCV-1-1, First Principles of Computer Vision,Columbia University, New York, Feb. 2022[PDF] [bib] [©]
  • “Image Sensing,” Shree K. Nayar,Monograph FPCV-1-2, First Principles of Computer Vision,Columbia University, New York, Feb. 2022[PDF] [bib] [©]
  • “Binary Images,” Shree K. Nayar, Monograph FPCV-1-3, First Principles of Computer Vision,Columbia University, New York, Mar. 2022 [PDF] [bib] [©]
  • “Image Processing I,”
     Shree K. Nayar,
    Monograph FPCV-1-4, First Principles of Computer Vision,
    Columbia University, New York, Mar. 2022
    [PDF] [bib] [©]
  • “Image Processing II,”
     Shree K. Nayar,
    Monograph FPCV-1-5, First Principles of Computer Vision,
    Columbia University, New York, Mar. 2022
    [PDF] [bib] [©]
  • “Edge Detection,”
     Shree K. Nayar,
    Monograph FPCV-2-1, First Principles of Computer Vision,
    Columbia University, New York, May. 2022
    [PDF] [bib] [©]
  • “Boundary Detection,”
     Shree K. Nayar,
    Monograph FPCV-2-2, First Principles of Computer Vision,
    Columbia University, New York, Jun. 2022
    [PDF] [bib] [©]
  • “SIFT Detector,”
     Shree K. Nayar,
    Monograph FPCV-2-3, First Principles of Computer Vision,
    Columbia University, New York, Aug. 2022
    [PDF] [bib] [©]