What is Kornia?
It 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.
Kornia is a tool in the Image Processing and Management category of a tech stack.
Kornia is an open source tool with 9.3K GitHub stars and 926 GitHub forks. Here’s a link to Kornia's open source repository on GitHub
Who uses Kornia?
Developers
7 developers on StackShare have stated that they use Kornia.
Kornia Integrations
Kornia's Features
- Perform feature detection
- Perform data augmentation in the GPU
- Perform image filtering and edge detection
- Differentiable computer vision library
Kornia Alternatives & Comparisons
What are some alternatives to Kornia?
TensorFlow
TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
PyTorch
PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.
OpenCV
OpenCV was designed for computational efficiency and with a strong focus on real-time applications. Written in optimized C/C++, the library can take advantage of multi-core processing. Enabled with OpenCL, it can take advantage of the hardware acceleration of the underlying heterogeneous compute platform.
scikit-learn
scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
Keras
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/
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