Kornia download for Windows

This is the Windows app named Kornia whose latest release can be downloaded as v0.7.0ImageAPI,RT-DETRandObjectDetectionAPI,LightGlueMatcher,MobileSam,newSensorsAPIandmanymore.zip. It can be run online in the free hosting provider OnWorks for workstations.

 
 

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SCREENSHOTS:


Kornia


DESCRIPTION:

Kornia is a differentiable computer vision library for PyTorch. It consists of a set of routines and differentiable modules to solve generic computer vision problems. At its core, 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 existing packages, this library is composed by a subset of packages containing operators that can be inserted within neural networks to train models to perform image transformations, epipolar geometry, depth estimation, and low-level image processing such as filtering and edge detection that operate directly on tensors. With Kornia we fill the gap between classical and deep computer vision that implements standard and advanced vision algorithms for AI. Our libraries and initiatives are always according to the community needs.



Features

  • Differentiable Computer Vision library, with strong GPU support
  • Module to perform data augmentation in the GPU
  • Set of routines to perform color space conversions
  • Module to perform normalization and intensity transformation
  • Geometric computer vision library to perform image transformations, 3D linear algebra and conversions using different camera models
  • Image to tensor utilities and metrics for vision problems


Programming Language

Python


Categories

Libraries, Machine Learning, Computer Vision Libraries, Image Processing, Image Processing Libraries

This is an application that can also be fetched from https://sourceforge.net/projects/kornia.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.



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